blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 378 8.64k | id stringlengths 44 44 | length_bytes int64 505 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.88k | prompted_full_text stringlengths 565 12.5k | revision_id stringlengths 40 40 | skeleton stringlengths 162 5.05k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14f73d388dce505acb8f30bb623fd6d540791ffe | [
"print('Testing that spatial_correlation returns a float')\nsc_result = spatial_correlation(5, 5, 5, 5, 5, 5, 5, 5, 5, 5)\nself.assertTrue(isinstance(sc_result, float), 'spatial correlation is not a float')",
"print('Testing that spatial_correlation returns an array')\nhist_long = [53.195, 51.954, 53.107]\nfloat_... | <|body_start_0|>
print('Testing that spatial_correlation returns a float')
sc_result = spatial_correlation(5, 5, 5, 5, 5, 5, 5, 5, 5, 5)
self.assertTrue(isinstance(sc_result, float), 'spatial correlation is not a float')
<|end_body_0|>
<|body_start_1|>
print('Testing that spatial_correl... | Test cases for "spatial_correlation" function | MyTestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyTestCase:
"""Test cases for "spatial_correlation" function"""
def test_spatial_correlation_returns_float(self):
"""Check that spatial_correlation returns a float if given a float :return: Nothing"""
<|body_0|>
def test_spatial_correlation_returns_array(self):
"... | stack_v2_sparse_classes_75kplus_train_007300 | 5,068 | no_license | [
{
"docstring": "Check that spatial_correlation returns a float if given a float :return: Nothing",
"name": "test_spatial_correlation_returns_float",
"signature": "def test_spatial_correlation_returns_float(self)"
},
{
"docstring": "Check that spatial_correlation returns an array if given an arra... | 4 | stack_v2_sparse_classes_30k_train_004457 | Implement the Python class `MyTestCase` described below.
Class description:
Test cases for "spatial_correlation" function
Method signatures and docstrings:
- def test_spatial_correlation_returns_float(self): Check that spatial_correlation returns a float if given a float :return: Nothing
- def test_spatial_correlatio... | Implement the Python class `MyTestCase` described below.
Class description:
Test cases for "spatial_correlation" function
Method signatures and docstrings:
- def test_spatial_correlation_returns_float(self): Check that spatial_correlation returns a float if given a float :return: Nothing
- def test_spatial_correlatio... | 3944e9783d58422d2d10bbc95f9706e168550034 | <|skeleton|>
class MyTestCase:
"""Test cases for "spatial_correlation" function"""
def test_spatial_correlation_returns_float(self):
"""Check that spatial_correlation returns a float if given a float :return: Nothing"""
<|body_0|>
def test_spatial_correlation_returns_array(self):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyTestCase:
"""Test cases for "spatial_correlation" function"""
def test_spatial_correlation_returns_float(self):
"""Check that spatial_correlation returns a float if given a float :return: Nothing"""
print('Testing that spatial_correlation returns a float')
sc_result = spatial_co... | the_stack_v2_python_sparse | ow_calibration/find_besthist/spatial_correlation/spatial_correlation_test.py | gmaze/argodmqc_owc | train | 0 |
c8c7743fa094ded31aa581a690b015718024a24f | [
"if not self.start_year and (not self.end_year):\n return ''\nif self.start_year == self.end_year:\n return self.start_year\ndate_parts = [self.start_year, '-', self.end_year]\nreturn ''.join([str(dp) for dp in date_parts if dp is not None])",
"if exclude is None:\n exclude = []\nif 'start_year' in exclu... | <|body_start_0|>
if not self.start_year and (not self.end_year):
return ''
if self.start_year == self.end_year:
return self.start_year
date_parts = [self.start_year, '-', self.end_year]
return ''.join([str(dp) for dp in date_parts if dp is not None])
<|end_body_0|... | Abstract model with optional start and end years, and a custom dates property to display the date range nicely. Includes validation that requires end year falls after start year. | DateRange | [
"Apache-2.0",
"LicenseRef-scancode-free-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DateRange:
"""Abstract model with optional start and end years, and a custom dates property to display the date range nicely. Includes validation that requires end year falls after start year."""
def dates(self):
"""Date or date range as a string for display"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_007301 | 2,365 | permissive | [
{
"docstring": "Date or date range as a string for display",
"name": "dates",
"signature": "def dates(self)"
},
{
"docstring": "Override to clean fields to make sure start/end year are sensical",
"name": "clean_fields",
"signature": "def clean_fields(self, exclude=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018825 | Implement the Python class `DateRange` described below.
Class description:
Abstract model with optional start and end years, and a custom dates property to display the date range nicely. Includes validation that requires end year falls after start year.
Method signatures and docstrings:
- def dates(self): Date or dat... | Implement the Python class `DateRange` described below.
Class description:
Abstract model with optional start and end years, and a custom dates property to display the date range nicely. Includes validation that requires end year falls after start year.
Method signatures and docstrings:
- def dates(self): Date or dat... | 6371bb1266d7751af59aeaa3426ef7ac02a1fe17 | <|skeleton|>
class DateRange:
"""Abstract model with optional start and end years, and a custom dates property to display the date range nicely. Includes validation that requires end year falls after start year."""
def dates(self):
"""Date or date range as a string for display"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DateRange:
"""Abstract model with optional start and end years, and a custom dates property to display the date range nicely. Includes validation that requires end year falls after start year."""
def dates(self):
"""Date or date range as a string for display"""
if not self.start_year and ... | the_stack_v2_python_sparse | derrida/common/models.py | Princeton-CDH/derrida-django | train | 13 |
2a3becd523ade2de253dd5233f5c849ec749153d | [
"self._open_since = 0\nif 'proto' not in device or int(device['proto'][0:1]) == 1:\n data_key = 'status'\nelse:\n data_key = 'window_status'\nsuper().__init__(device, 'Door Window Sensor', xiaomi_hub, data_key, BinarySensorDeviceClass.OPENING, config_entry)",
"attrs = {ATTR_OPEN_SINCE: self._open_since}\nat... | <|body_start_0|>
self._open_since = 0
if 'proto' not in device or int(device['proto'][0:1]) == 1:
data_key = 'status'
else:
data_key = 'window_status'
super().__init__(device, 'Door Window Sensor', xiaomi_hub, data_key, BinarySensorDeviceClass.OPENING, config_entr... | Representation of a XiaomiDoorSensor. | XiaomiDoorSensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class XiaomiDoorSensor:
"""Representation of a XiaomiDoorSensor."""
def __init__(self, device, xiaomi_hub, config_entry):
"""Initialize the XiaomiDoorSensor."""
<|body_0|>
def extra_state_attributes(self):
"""Return the state attributes."""
<|body_1|>
asyn... | stack_v2_sparse_classes_75kplus_train_007302 | 20,131 | permissive | [
{
"docstring": "Initialize the XiaomiDoorSensor.",
"name": "__init__",
"signature": "def __init__(self, device, xiaomi_hub, config_entry)"
},
{
"docstring": "Return the state attributes.",
"name": "extra_state_attributes",
"signature": "def extra_state_attributes(self)"
},
{
"doc... | 4 | stack_v2_sparse_classes_30k_test_000667 | Implement the Python class `XiaomiDoorSensor` described below.
Class description:
Representation of a XiaomiDoorSensor.
Method signatures and docstrings:
- def __init__(self, device, xiaomi_hub, config_entry): Initialize the XiaomiDoorSensor.
- def extra_state_attributes(self): Return the state attributes.
- async de... | Implement the Python class `XiaomiDoorSensor` described below.
Class description:
Representation of a XiaomiDoorSensor.
Method signatures and docstrings:
- def __init__(self, device, xiaomi_hub, config_entry): Initialize the XiaomiDoorSensor.
- def extra_state_attributes(self): Return the state attributes.
- async de... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class XiaomiDoorSensor:
"""Representation of a XiaomiDoorSensor."""
def __init__(self, device, xiaomi_hub, config_entry):
"""Initialize the XiaomiDoorSensor."""
<|body_0|>
def extra_state_attributes(self):
"""Return the state attributes."""
<|body_1|>
asyn... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class XiaomiDoorSensor:
"""Representation of a XiaomiDoorSensor."""
def __init__(self, device, xiaomi_hub, config_entry):
"""Initialize the XiaomiDoorSensor."""
self._open_since = 0
if 'proto' not in device or int(device['proto'][0:1]) == 1:
data_key = 'status'
else:... | the_stack_v2_python_sparse | homeassistant/components/xiaomi_aqara/binary_sensor.py | home-assistant/core | train | 35,501 |
85e805c14e8b7a3c966c67e06320c6e74c26b8cd | [
"self.dist = dist\nself.accel = accel\nself.decel = decel\nd0 = dist * decel / (accel + decel)\nd1 = 0\nt0 = sqrt(2 * d0 / accel)\nt1 = 0\nt2 = accel / decel * t0\nvc = accel * t0\nif vc > max_speed:\n t0 = max_speed / accel\n t2 = max_speed / decel\n d0 = max_speed * t0 / 2\n d1 = dist - 0.5 * (accel *... | <|body_start_0|>
self.dist = dist
self.accel = accel
self.decel = decel
d0 = dist * decel / (accel + decel)
d1 = 0
t0 = sqrt(2 * d0 / accel)
t1 = 0
t2 = accel / decel * t0
vc = accel * t0
if vc > max_speed:
t0 = max_speed / acce... | The model of movement from A to B. The speed at point A and B is 0. The rates of acceleration and deceleration are constant. | AToBConstAccel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AToBConstAccel:
"""The model of movement from A to B. The speed at point A and B is 0. The rates of acceleration and deceleration are constant."""
def __init__(self, dist, accel, decel, max_speed=inf):
"""dist: The distance between A to B; accel: The rate of acceleration; decel: The ... | stack_v2_sparse_classes_75kplus_train_007303 | 1,724 | no_license | [
{
"docstring": "dist: The distance between A to B; accel: The rate of acceleration; decel: The rate of deceleration; max_speed: Optional. The max speed of movement.",
"name": "__init__",
"signature": "def __init__(self, dist, accel, decel, max_speed=inf)"
},
{
"docstring": "Calculating the curre... | 2 | stack_v2_sparse_classes_30k_train_001969 | Implement the Python class `AToBConstAccel` described below.
Class description:
The model of movement from A to B. The speed at point A and B is 0. The rates of acceleration and deceleration are constant.
Method signatures and docstrings:
- def __init__(self, dist, accel, decel, max_speed=inf): dist: The distance bet... | Implement the Python class `AToBConstAccel` described below.
Class description:
The model of movement from A to B. The speed at point A and B is 0. The rates of acceleration and deceleration are constant.
Method signatures and docstrings:
- def __init__(self, dist, accel, decel, max_speed=inf): dist: The distance bet... | 3945ef235ac8e7a7a66fec018597aa9b34b0a4e6 | <|skeleton|>
class AToBConstAccel:
"""The model of movement from A to B. The speed at point A and B is 0. The rates of acceleration and deceleration are constant."""
def __init__(self, dist, accel, decel, max_speed=inf):
"""dist: The distance between A to B; accel: The rate of acceleration; decel: The ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AToBConstAccel:
"""The model of movement from A to B. The speed at point A and B is 0. The rates of acceleration and deceleration are constant."""
def __init__(self, dist, accel, decel, max_speed=inf):
"""dist: The distance between A to B; accel: The rate of acceleration; decel: The rate of decel... | the_stack_v2_python_sparse | wavesynlib/formulae/motion.py | xialulee/WaveSyn | train | 9 |
49fad8568ecbe66fe0cc2c1192f0413069d69829 | [
"SHOW_REG = re.compile('^/dumi/travel')\nPLAY_REG = re.compile('/m\\\\.gif')\nret = {}\nquery = []\npage = []\nret['query'] = query\nret['page'] = page\ntravel_Db = midpagedb.DateLogDb()\ntravel = travel_Db.get_collection()\ntravelDb = travel_Db.get_db()\nquery_info = travel.aggregate([{'$match': {'url': SHOW_REG}}... | <|body_start_0|>
SHOW_REG = re.compile('^/dumi/travel')
PLAY_REG = re.compile('/m\\.gif')
ret = {}
query = []
page = []
ret['query'] = query
ret['page'] = page
travel_Db = midpagedb.DateLogDb()
travel = travel_Db.get_collection()
travelDb =... | Product | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Product:
def statist(self):
"""self.log_collection可以拿到mongo中的日志集合，用于统计指标的函数"""
<|body_0|>
def save_result(self, result):
"""result为statist返回的结果，用于存储结果，可以存储到本地也可以存储如数据库"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
SHOW_REG = re.compile('^/dumi/tra... | stack_v2_sparse_classes_75kplus_train_007304 | 2,550 | no_license | [
{
"docstring": "self.log_collection可以拿到mongo中的日志集合，用于统计指标的函数",
"name": "statist",
"signature": "def statist(self)"
},
{
"docstring": "result为statist返回的结果，用于存储结果，可以存储到本地也可以存储如数据库",
"name": "save_result",
"signature": "def save_result(self, result)"
}
] | 2 | stack_v2_sparse_classes_30k_train_051794 | Implement the Python class `Product` described below.
Class description:
Implement the Product class.
Method signatures and docstrings:
- def statist(self): self.log_collection可以拿到mongo中的日志集合，用于统计指标的函数
- def save_result(self, result): result为statist返回的结果，用于存储结果，可以存储到本地也可以存储如数据库 | Implement the Python class `Product` described below.
Class description:
Implement the Product class.
Method signatures and docstrings:
- def statist(self): self.log_collection可以拿到mongo中的日志集合，用于统计指标的函数
- def save_result(self, result): result为statist返回的结果，用于存储结果，可以存储到本地也可以存储如数据库
<|skeleton|>
class Product:
def s... | f2303a443122e87296fb5b72a8af02d642297bc4 | <|skeleton|>
class Product:
def statist(self):
"""self.log_collection可以拿到mongo中的日志集合，用于统计指标的函数"""
<|body_0|>
def save_result(self, result):
"""result为statist返回的结果，用于存储结果，可以存储到本地也可以存储如数据库"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Product:
def statist(self):
"""self.log_collection可以拿到mongo中的日志集合，用于统计指标的函数"""
SHOW_REG = re.compile('^/dumi/travel')
PLAY_REG = re.compile('/m\\.gif')
ret = {}
query = []
page = []
ret['query'] = query
ret['page'] = page
travel_Db = midp... | the_stack_v2_python_sparse | midpage/products/travel.py | cash2one/statistic | train | 0 | |
95e98f3bb53a4ca89f728ece8400ea66ee0f631e | [
"numset = set()\nfor num in nums:\n if num in numset:\n numset.remove(num)\n else:\n numset.add(num)\nreturn numset.pop()",
"singleton = 0\nfor num in nums:\n singleton ^= num\nreturn singleton"
] | <|body_start_0|>
numset = set()
for num in nums:
if num in numset:
numset.remove(num)
else:
numset.add(num)
return numset.pop()
<|end_body_0|>
<|body_start_1|>
singleton = 0
for num in nums:
singleton ^= num
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def singleNumber(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def singleNumber2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
numset = set()
for num in nums:
... | stack_v2_sparse_classes_75kplus_train_007305 | 858 | permissive | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "singleNumber",
"signature": "def singleNumber(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "singleNumber2",
"signature": "def singleNumber2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_024926 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def singleNumber(self, nums): :type nums: List[int] :rtype: int
- def singleNumber2(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def singleNumber(self, nums): :type nums: List[int] :rtype: int
- def singleNumber2(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def singleNu... | e11c4f1d6dcd02d1bb69534ddcf7bb957d6df318 | <|skeleton|>
class Solution:
def singleNumber(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def singleNumber2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def singleNumber(self, nums):
""":type nums: List[int] :rtype: int"""
numset = set()
for num in nums:
if num in numset:
numset.remove(num)
else:
numset.add(num)
return numset.pop()
def singleNumber2(self, nu... | the_stack_v2_python_sparse | Python/single_number.py | paulolemus/leetcode | train | 0 | |
46d79c460f85c8f96d0ed6dbe2353d41c01558c9 | [
"super(NOAAWCOSS, self).__init__(False, False, DO_NOT_SET, name, name + '.ncep.noaa.gov')\nself._phase = phase\nself._production = None\nself._lastprod = 0\nself._prod_cache_time = int(prod_cache_time)",
"self._production = None\nself._lastprod = 0\nself._phase = 0",
"now = int(time.time())\nif self._production... | <|body_start_0|>
super(NOAAWCOSS, self).__init__(False, False, DO_NOT_SET, name, name + '.ncep.noaa.gov')
self._phase = phase
self._production = None
self._lastprod = 0
self._prod_cache_time = int(prod_cache_time)
<|end_body_0|>
<|body_start_1|>
self._production = None
... | !Represents the NOAA WCOSS clusters, Tide, Gyre and the test system Eddy. Automatically determines which WCOSS the program is on based on the first letter of socket.gethostname(). Will report no ACL support, and no group quotas. Hence, the cluster should use group IDs for access control. The production accessor is no l... | NOAAWCOSS | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NOAAWCOSS:
"""!Represents the NOAA WCOSS clusters, Tide, Gyre and the test system Eddy. Automatically determines which WCOSS the program is on based on the first letter of socket.gethostname(). Will report no ACL support, and no group quotas. Hence, the cluster should use group IDs for access con... | stack_v2_sparse_classes_75kplus_train_007306 | 11,161 | permissive | [
{
"docstring": "!Creates a NOAAWCOSS object, and optionally specifies the time for which the result of self.production should be cached. Default: 30 seconds. @param prod_cache_time how long to cache the prod vs. dev information, in seconds",
"name": "__init__",
"signature": "def __init__(self, prod_cach... | 3 | stack_v2_sparse_classes_30k_train_053169 | Implement the Python class `NOAAWCOSS` described below.
Class description:
!Represents the NOAA WCOSS clusters, Tide, Gyre and the test system Eddy. Automatically determines which WCOSS the program is on based on the first letter of socket.gethostname(). Will report no ACL support, and no group quotas. Hence, the clus... | Implement the Python class `NOAAWCOSS` described below.
Class description:
!Represents the NOAA WCOSS clusters, Tide, Gyre and the test system Eddy. Automatically determines which WCOSS the program is on based on the first letter of socket.gethostname(). Will report no ACL support, and no group quotas. Hence, the clus... | a666ac3b58d19f04249f76c9340f2e4a4a27939b | <|skeleton|>
class NOAAWCOSS:
"""!Represents the NOAA WCOSS clusters, Tide, Gyre and the test system Eddy. Automatically determines which WCOSS the program is on based on the first letter of socket.gethostname(). Will report no ACL support, and no group quotas. Hence, the cluster should use group IDs for access con... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NOAAWCOSS:
"""!Represents the NOAA WCOSS clusters, Tide, Gyre and the test system Eddy. Automatically determines which WCOSS the program is on based on the first letter of socket.gethostname(). Will report no ACL support, and no group quotas. Hence, the cluster should use group IDs for access control. The pro... | the_stack_v2_python_sparse | produtil/cluster.py | dtcenter/METplus | train | 41 |
3020b832a160e7e14969b1df7b2afe9840f51557 | [
"if not authorization_header or type(authorization_header) != str:\n return None\nll = authorization_header.split(' ')\nif ll[0] == 'Basic':\n return ll[1]\nreturn None",
"if not base64_authorization_header or type(base64_authorization_header) != str:\n return None\n\ndef isBase64(sb):\n try:\n ... | <|body_start_0|>
if not authorization_header or type(authorization_header) != str:
return None
ll = authorization_header.split(' ')
if ll[0] == 'Basic':
return ll[1]
return None
<|end_body_0|>
<|body_start_1|>
if not base64_authorization_header or type(ba... | Auth class | BasicAuth | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BasicAuth:
"""Auth class"""
def extract_base64_authorization_header(self, authorization_header: str) -> str:
"""Returns the Base64 part of the Authorization header for a Basic Authentication"""
<|body_0|>
def decode_base64_authorization_header(self, base64_authorization_... | stack_v2_sparse_classes_75kplus_train_007307 | 3,522 | no_license | [
{
"docstring": "Returns the Base64 part of the Authorization header for a Basic Authentication",
"name": "extract_base64_authorization_header",
"signature": "def extract_base64_authorization_header(self, authorization_header: str) -> str"
},
{
"docstring": "Returns the decoded value of a Base64 ... | 5 | stack_v2_sparse_classes_30k_train_012800 | Implement the Python class `BasicAuth` described below.
Class description:
Auth class
Method signatures and docstrings:
- def extract_base64_authorization_header(self, authorization_header: str) -> str: Returns the Base64 part of the Authorization header for a Basic Authentication
- def decode_base64_authorization_he... | Implement the Python class `BasicAuth` described below.
Class description:
Auth class
Method signatures and docstrings:
- def extract_base64_authorization_header(self, authorization_header: str) -> str: Returns the Base64 part of the Authorization header for a Basic Authentication
- def decode_base64_authorization_he... | dfb69fff81fca7bccfc2cb9e3bbbdb222d318f92 | <|skeleton|>
class BasicAuth:
"""Auth class"""
def extract_base64_authorization_header(self, authorization_header: str) -> str:
"""Returns the Base64 part of the Authorization header for a Basic Authentication"""
<|body_0|>
def decode_base64_authorization_header(self, base64_authorization_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BasicAuth:
"""Auth class"""
def extract_base64_authorization_header(self, authorization_header: str) -> str:
"""Returns the Base64 part of the Authorization header for a Basic Authentication"""
if not authorization_header or type(authorization_header) != str:
return None
... | the_stack_v2_python_sparse | 0x06-Basic_authentication/api/v1/auth/basic_auth.py | hunterxx0/holbertonschool-web_back_end | train | 0 |
2e042c09e159ac0c936622bae062b2764c7aced9 | [
"output = []\ni, j, carry = (0, 0, 0)\nwhile i < len(a) or j < len(b) or carry:\n n1 = int(a[i]) if i < len(a) else 0\n n2 = int(b[j]) if j < len(b) else 0\n n = n1 + n2 + carry\n carry = n // 2\n n = n % 2\n output.append(str(n))\n i += 1\n j += 1\nreturn ''.join(reversed(output))",
"if l... | <|body_start_0|>
output = []
i, j, carry = (0, 0, 0)
while i < len(a) or j < len(b) or carry:
n1 = int(a[i]) if i < len(a) else 0
n2 = int(b[j]) if j < len(b) else 0
n = n1 + n2 + carry
carry = n // 2
n = n % 2
output.append... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def addBinary(self, a, b):
""":type a: str :type b: str :rtype: str"""
<|body_0|>
def addBinary_verbose(self, a, b):
""":type a: str :type b: str :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
output = []
i, j, carry =... | stack_v2_sparse_classes_75kplus_train_007308 | 1,638 | no_license | [
{
"docstring": ":type a: str :type b: str :rtype: str",
"name": "addBinary",
"signature": "def addBinary(self, a, b)"
},
{
"docstring": ":type a: str :type b: str :rtype: str",
"name": "addBinary_verbose",
"signature": "def addBinary_verbose(self, a, b)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009072 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def addBinary(self, a, b): :type a: str :type b: str :rtype: str
- def addBinary_verbose(self, a, b): :type a: str :type b: str :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def addBinary(self, a, b): :type a: str :type b: str :rtype: str
- def addBinary_verbose(self, a, b): :type a: str :type b: str :rtype: str
<|skeleton|>
class Solution:
def... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def addBinary(self, a, b):
""":type a: str :type b: str :rtype: str"""
<|body_0|>
def addBinary_verbose(self, a, b):
""":type a: str :type b: str :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def addBinary(self, a, b):
""":type a: str :type b: str :rtype: str"""
output = []
i, j, carry = (0, 0, 0)
while i < len(a) or j < len(b) or carry:
n1 = int(a[i]) if i < len(a) else 0
n2 = int(b[j]) if j < len(b) else 0
n = n1 + n2 ... | the_stack_v2_python_sparse | src/lt_67.py | oxhead/CodingYourWay | train | 0 | |
eb95ec75a70736dd445cc02b6315bb598eb5a55a | [
"query_ = self.session.query(Category)\nuser_id = view_kwargs.get('id')\nif user_id:\n query_ = query_for_user_only(query_, user_id)\nreturn query_",
"if 'name' not in data:\n raise BadRequest('Must include name field')\ndata['user_id'] = g.current_user.id"
] | <|body_start_0|>
query_ = self.session.query(Category)
user_id = view_kwargs.get('id')
if user_id:
query_ = query_for_user_only(query_, user_id)
return query_
<|end_body_0|>
<|body_start_1|>
if 'name' not in data:
raise BadRequest('Must include name field... | ResourceList: provides get and post methods to retrieve a collection of objects or create one | CategoryList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CategoryList:
"""ResourceList: provides get and post methods to retrieve a collection of objects or create one"""
def query(self, view_kwargs):
"""Adjust query to search for categories owned by current user only if the user_id is provided in the request"""
<|body_0|>
def... | stack_v2_sparse_classes_75kplus_train_007309 | 10,897 | no_license | [
{
"docstring": "Adjust query to search for categories owned by current user only if the user_id is provided in the request",
"name": "query",
"signature": "def query(self, view_kwargs)"
},
{
"docstring": "Prior to creating a new category, check all is OK and insert the user_id of the current use... | 2 | null | Implement the Python class `CategoryList` described below.
Class description:
ResourceList: provides get and post methods to retrieve a collection of objects or create one
Method signatures and docstrings:
- def query(self, view_kwargs): Adjust query to search for categories owned by current user only if the user_id ... | Implement the Python class `CategoryList` described below.
Class description:
ResourceList: provides get and post methods to retrieve a collection of objects or create one
Method signatures and docstrings:
- def query(self, view_kwargs): Adjust query to search for categories owned by current user only if the user_id ... | 365543d2e121bc78ecbf6452e9e77dc75b059f03 | <|skeleton|>
class CategoryList:
"""ResourceList: provides get and post methods to retrieve a collection of objects or create one"""
def query(self, view_kwargs):
"""Adjust query to search for categories owned by current user only if the user_id is provided in the request"""
<|body_0|>
def... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CategoryList:
"""ResourceList: provides get and post methods to retrieve a collection of objects or create one"""
def query(self, view_kwargs):
"""Adjust query to search for categories owned by current user only if the user_id is provided in the request"""
query_ = self.session.query(Cate... | the_stack_v2_python_sparse | application/api/catalog/views.py | jnitin/flask-catalog | train | 0 |
95d6498de0d4ca1828bfc7dfce95665474176ea1 | [
"publisher = Publisher.query.filter_by(id=id).first()\nif publisher is None:\n return ({'message': 'Publisher does not exist'}, 404)\nreturn publisher_schema.dump(publisher)",
"req = api.payload\npublisher = Publisher.query.filter_by(id=id).first()\nif publisher is None:\n return ({'message': 'Publisher doe... | <|body_start_0|>
publisher = Publisher.query.filter_by(id=id).first()
if publisher is None:
return ({'message': 'Publisher does not exist'}, 404)
return publisher_schema.dump(publisher)
<|end_body_0|>
<|body_start_1|>
req = api.payload
publisher = Publisher.query.fil... | SinglePublisher | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SinglePublisher:
def get(self, id):
"""Get Publisher by id"""
<|body_0|>
def put(self, id):
"""Update a Publisher"""
<|body_1|>
def delete(self, id):
"""Delete a Publisher by id"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
pu... | stack_v2_sparse_classes_75kplus_train_007310 | 3,380 | no_license | [
{
"docstring": "Get Publisher by id",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "Update a Publisher",
"name": "put",
"signature": "def put(self, id)"
},
{
"docstring": "Delete a Publisher by id",
"name": "delete",
"signature": "def delete(self, id)... | 3 | stack_v2_sparse_classes_30k_train_009391 | Implement the Python class `SinglePublisher` described below.
Class description:
Implement the SinglePublisher class.
Method signatures and docstrings:
- def get(self, id): Get Publisher by id
- def put(self, id): Update a Publisher
- def delete(self, id): Delete a Publisher by id | Implement the Python class `SinglePublisher` described below.
Class description:
Implement the SinglePublisher class.
Method signatures and docstrings:
- def get(self, id): Get Publisher by id
- def put(self, id): Update a Publisher
- def delete(self, id): Delete a Publisher by id
<|skeleton|>
class SinglePublisher:... | ae78fff9888b0f68d9403d7f65cba086dabb3802 | <|skeleton|>
class SinglePublisher:
def get(self, id):
"""Get Publisher by id"""
<|body_0|>
def put(self, id):
"""Update a Publisher"""
<|body_1|>
def delete(self, id):
"""Delete a Publisher by id"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SinglePublisher:
def get(self, id):
"""Get Publisher by id"""
publisher = Publisher.query.filter_by(id=id).first()
if publisher is None:
return ({'message': 'Publisher does not exist'}, 404)
return publisher_schema.dump(publisher)
def put(self, id):
"""... | the_stack_v2_python_sparse | api/v1/publishers.py | mythril-io/flask-api | train | 0 | |
bc7b2384045e28fe1f1254b8c95c8a36dcc45273 | [
"try:\n params, is_json = (request.json, True)\nexcept ValueError:\n params, is_json = (None, False)\nif not params:\n params, is_json = (request.params, False)\nreturn (params, is_json)",
"if name == ParameterType.TOKEN_NAME:\n token_name = ADMIN_TOKEN_NAME if request_api_type() == API_ADMIN else CAB... | <|body_start_0|>
try:
params, is_json = (request.json, True)
except ValueError:
params, is_json = (None, False)
if not params:
params, is_json = (request.params, False)
return (params, is_json)
<|end_body_0|>
<|body_start_1|>
if name == Parame... | Actual class which responsible for validation. Actually check_params decorator just puts everything in it and relies on it during the processing. | ParameterValidator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ParameterValidator:
"""Actual class which responsible for validation. Actually check_params decorator just puts everything in it and relies on it during the processing."""
def request_params():
"""Detects where do we have incoming arguments and returns them. :return tuple of paramete... | stack_v2_sparse_classes_75kplus_train_007311 | 8,864 | permissive | [
{
"docstring": "Detects where do we have incoming arguments and returns them. :return tuple of parameters (dict-like structure) and sign were they JSONed or not. This is required if we have different rules for processing form-data and simple JSON.",
"name": "request_params",
"signature": "def request_pa... | 5 | stack_v2_sparse_classes_30k_train_027412 | Implement the Python class `ParameterValidator` described below.
Class description:
Actual class which responsible for validation. Actually check_params decorator just puts everything in it and relies on it during the processing.
Method signatures and docstrings:
- def request_params(): Detects where do we have incom... | Implement the Python class `ParameterValidator` described below.
Class description:
Actual class which responsible for validation. Actually check_params decorator just puts everything in it and relies on it during the processing.
Method signatures and docstrings:
- def request_params(): Detects where do we have incom... | bc0cfe3067bf1cbf26789f7443a36e7cdd2ac869 | <|skeleton|>
class ParameterValidator:
"""Actual class which responsible for validation. Actually check_params decorator just puts everything in it and relies on it during the processing."""
def request_params():
"""Detects where do we have incoming arguments and returns them. :return tuple of paramete... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ParameterValidator:
"""Actual class which responsible for validation. Actually check_params decorator just puts everything in it and relies on it during the processing."""
def request_params():
"""Detects where do we have incoming arguments and returns them. :return tuple of parameters (dict-like... | the_stack_v2_python_sparse | backend/api/check_params.py | omarabdalhamid/boss | train | 0 |
0329b116613b73aa527f20fbdef65445aa406030 | [
"super(EncoderRNN, self).__init__()\nself.vocab_size = vocab_size\nself.embedding_size = embedding_size\nself.hidden_size = hidden_size\nself.num_layers = num_layers\nself.dropout = dropout\nself.batch_first = batch_first\nself.bidirectional = bidirectional\nif bidirectional:\n self.num_directions = 2\nelse:\n ... | <|body_start_0|>
super(EncoderRNN, self).__init__()
self.vocab_size = vocab_size
self.embedding_size = embedding_size
self.hidden_size = hidden_size
self.num_layers = num_layers
self.dropout = dropout
self.batch_first = batch_first
self.bidirectional = bid... | EncoderRNN | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncoderRNN:
def __init__(self, vocab_size, embedding_size, hidden_size, rnn=nn.GRU, num_layers=1, bidirectional=False, dropout=0.0, bias=True, batch_first=True, train_emb=False, emb_weights_matrix=None):
"""Sentence-level Encoder"""
<|body_0|>
def forward(self, inputs, input... | stack_v2_sparse_classes_75kplus_train_007312 | 8,492 | permissive | [
{
"docstring": "Sentence-level Encoder",
"name": "__init__",
"signature": "def __init__(self, vocab_size, embedding_size, hidden_size, rnn=nn.GRU, num_layers=1, bidirectional=False, dropout=0.0, bias=True, batch_first=True, train_emb=False, emb_weights_matrix=None)"
},
{
"docstring": "Args: inpu... | 2 | stack_v2_sparse_classes_30k_val_002344 | Implement the Python class `EncoderRNN` described below.
Class description:
Implement the EncoderRNN class.
Method signatures and docstrings:
- def __init__(self, vocab_size, embedding_size, hidden_size, rnn=nn.GRU, num_layers=1, bidirectional=False, dropout=0.0, bias=True, batch_first=True, train_emb=False, emb_weig... | Implement the Python class `EncoderRNN` described below.
Class description:
Implement the EncoderRNN class.
Method signatures and docstrings:
- def __init__(self, vocab_size, embedding_size, hidden_size, rnn=nn.GRU, num_layers=1, bidirectional=False, dropout=0.0, bias=True, batch_first=True, train_emb=False, emb_weig... | 8851bbde8bedd0fe07beec72d74b3b3624c9c729 | <|skeleton|>
class EncoderRNN:
def __init__(self, vocab_size, embedding_size, hidden_size, rnn=nn.GRU, num_layers=1, bidirectional=False, dropout=0.0, bias=True, batch_first=True, train_emb=False, emb_weights_matrix=None):
"""Sentence-level Encoder"""
<|body_0|>
def forward(self, inputs, input... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EncoderRNN:
def __init__(self, vocab_size, embedding_size, hidden_size, rnn=nn.GRU, num_layers=1, bidirectional=False, dropout=0.0, bias=True, batch_first=True, train_emb=False, emb_weights_matrix=None):
"""Sentence-level Encoder"""
super(EncoderRNN, self).__init__()
self.vocab_size = ... | the_stack_v2_python_sparse | TL-ERC/bert_model/layer/encoder.py | declare-lab/conv-emotion | train | 791 | |
61a4ee57be4727ef84cd7310f388a3debd1b5566 | [
"from .timeseriesdata import TimeSeriesData\ntry:\n data = TimeSeriesData.objects.filter(sensor=self).latest('ts')\nexcept TimeSeriesData.DoesNotExist:\n return {}\nreturn data",
"from .timeseriesdata import TimeSeriesData\nraw = TimeSeriesData.objects.filter(ts__gte=data_start, ts__lt=data_end, sensor=self... | <|body_start_0|>
from .timeseriesdata import TimeSeriesData
try:
data = TimeSeriesData.objects.filter(sensor=self).latest('ts')
except TimeSeriesData.DoesNotExist:
return {}
return data
<|end_body_0|>
<|body_start_1|>
from .timeseriesdata import TimeSerie... | A sensor associated with a device Attributes: device (Device): associated device resolution (float): how often this is sampled, in seconds sensor_type (SensorType): type of sensor | DeviceSensor | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeviceSensor:
"""A sensor associated with a device Attributes: device (Device): associated device resolution (float): how often this is sampled, in seconds sensor_type (SensorType): type of sensor"""
def get_latest_ts_data(self):
"""Get latest ts data on this sensor for this device T... | stack_v2_sparse_classes_75kplus_train_007313 | 8,729 | permissive | [
{
"docstring": "Get latest ts data on this sensor for this device The latest_ts_data_optimised on AbstractDevice should be used instead of directly calling this",
"name": "get_latest_ts_data",
"signature": "def get_latest_ts_data(self)"
},
{
"docstring": "Implementation of aggregating data. See ... | 4 | stack_v2_sparse_classes_30k_train_048264 | Implement the Python class `DeviceSensor` described below.
Class description:
A sensor associated with a device Attributes: device (Device): associated device resolution (float): how often this is sampled, in seconds sensor_type (SensorType): type of sensor
Method signatures and docstrings:
- def get_latest_ts_data(s... | Implement the Python class `DeviceSensor` described below.
Class description:
A sensor associated with a device Attributes: device (Device): associated device resolution (float): how often this is sampled, in seconds sensor_type (SensorType): type of sensor
Method signatures and docstrings:
- def get_latest_ts_data(s... | 5c569f54f100e23d72e2ac4de795739ea461a431 | <|skeleton|>
class DeviceSensor:
"""A sensor associated with a device Attributes: device (Device): associated device resolution (float): how often this is sampled, in seconds sensor_type (SensorType): type of sensor"""
def get_latest_ts_data(self):
"""Get latest ts data on this sensor for this device T... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeviceSensor:
"""A sensor associated with a device Attributes: device (Device): associated device resolution (float): how often this is sampled, in seconds sensor_type (SensorType): type of sensor"""
def get_latest_ts_data(self):
"""Get latest ts data on this sensor for this device The latest_ts_... | the_stack_v2_python_sparse | zconnect/zc_timeseries/_models/sensor.py | zconnect-iot/zconnect-django | train | 2 |
1c432ec1132d5db09310e7c58fbb93fb844c5e59 | [
"self.comment = comment\nself.policy = policy\nself.ip_version = ip_version\nself.protocol = protocol\nself.src_cidr = src_cidr\nself.src_port = src_port\nself.dst_cidr = dst_cidr\nself.dst_port = dst_port\nself.vlan = vlan",
"if dictionary is None:\n return None\npolicy = dictionary.get('policy')\nprotocol = ... | <|body_start_0|>
self.comment = comment
self.policy = policy
self.ip_version = ip_version
self.protocol = protocol
self.src_cidr = src_cidr
self.src_port = src_port
self.dst_cidr = dst_cidr
self.dst_port = dst_port
self.vlan = vlan
<|end_body_0|>
... | Implementation of the 'Rule12' model. TODO: type model description here. Attributes: comment (string): Description of the rule (optional). policy (Policy7Enum): 'allow' or 'deny' traffic specified by this rule. ip_version (IpVersionEnum): IP address version (must be 'any', 'ipv4' or 'ipv6'). Applicable only if network ... | Rule12Model | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Rule12Model:
"""Implementation of the 'Rule12' model. TODO: type model description here. Attributes: comment (string): Description of the rule (optional). policy (Policy7Enum): 'allow' or 'deny' traffic specified by this rule. ip_version (IpVersionEnum): IP address version (must be 'any', 'ipv4' ... | stack_v2_sparse_classes_75kplus_train_007314 | 3,696 | permissive | [
{
"docstring": "Constructor for the Rule12Model class",
"name": "__init__",
"signature": "def __init__(self, policy=None, protocol=None, src_cidr=None, dst_cidr=None, comment=None, ip_version=None, src_port=None, dst_port=None, vlan=None)"
},
{
"docstring": "Creates an instance of this model fro... | 2 | stack_v2_sparse_classes_30k_train_003060 | Implement the Python class `Rule12Model` described below.
Class description:
Implementation of the 'Rule12' model. TODO: type model description here. Attributes: comment (string): Description of the rule (optional). policy (Policy7Enum): 'allow' or 'deny' traffic specified by this rule. ip_version (IpVersionEnum): IP ... | Implement the Python class `Rule12Model` described below.
Class description:
Implementation of the 'Rule12' model. TODO: type model description here. Attributes: comment (string): Description of the rule (optional). policy (Policy7Enum): 'allow' or 'deny' traffic specified by this rule. ip_version (IpVersionEnum): IP ... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class Rule12Model:
"""Implementation of the 'Rule12' model. TODO: type model description here. Attributes: comment (string): Description of the rule (optional). policy (Policy7Enum): 'allow' or 'deny' traffic specified by this rule. ip_version (IpVersionEnum): IP address version (must be 'any', 'ipv4' ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Rule12Model:
"""Implementation of the 'Rule12' model. TODO: type model description here. Attributes: comment (string): Description of the rule (optional). policy (Policy7Enum): 'allow' or 'deny' traffic specified by this rule. ip_version (IpVersionEnum): IP address version (must be 'any', 'ipv4' or 'ipv6'). A... | the_stack_v2_python_sparse | meraki_sdk/models/rule_12_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
bb0c5155111e0c6ad0be0dcc95af68e9fde7e24b | [
"response = self.client.get(reverse('education:index'))\nself.assertEqual(response.status_code, 200)\nself.assertEqual(response.context.get('json_data'), None)\nself.assertContains(response, 'High School Graduation')\nself.assertContains(response, 'How Rates Were Calculated')\nself.assertContains(response, 'Home')\... | <|body_start_0|>
response = self.client.get(reverse('education:index'))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.context.get('json_data'), None)
self.assertContains(response, 'High School Graduation')
self.assertContains(response, 'How Rates Were Calc... | EducationIndexViewTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EducationIndexViewTests:
def test_no_data(self):
"""If no data is in the database, no content is displayed but there is no map of graudation rates."""
<|body_0|>
def test_with_data(self):
"""If state data is in the database, make sure the conents renders and a graph ... | stack_v2_sparse_classes_75kplus_train_007315 | 9,266 | no_license | [
{
"docstring": "If no data is in the database, no content is displayed but there is no map of graudation rates.",
"name": "test_no_data",
"signature": "def test_no_data(self)"
},
{
"docstring": "If state data is in the database, make sure the conents renders and a graph of the graudation rates i... | 2 | stack_v2_sparse_classes_30k_train_023380 | Implement the Python class `EducationIndexViewTests` described below.
Class description:
Implement the EducationIndexViewTests class.
Method signatures and docstrings:
- def test_no_data(self): If no data is in the database, no content is displayed but there is no map of graudation rates.
- def test_with_data(self): ... | Implement the Python class `EducationIndexViewTests` described below.
Class description:
Implement the EducationIndexViewTests class.
Method signatures and docstrings:
- def test_no_data(self): If no data is in the database, no content is displayed but there is no map of graudation rates.
- def test_with_data(self): ... | 2a8e2dc4e9b3cb92d4d437b37e61940a9486b81f | <|skeleton|>
class EducationIndexViewTests:
def test_no_data(self):
"""If no data is in the database, no content is displayed but there is no map of graudation rates."""
<|body_0|>
def test_with_data(self):
"""If state data is in the database, make sure the conents renders and a graph ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EducationIndexViewTests:
def test_no_data(self):
"""If no data is in the database, no content is displayed but there is no map of graudation rates."""
response = self.client.get(reverse('education:index'))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.co... | the_stack_v2_python_sparse | education/tests.py | smeds1/mysite | train | 1 | |
336e8389a38a99de63858c825c5e712b0868ccfd | [
"self.snake = collections.deque([(0, 0)])\nself.s = set([(0, 0)])\nself.width = width\nself.height = height\nself.food = food\nself.idx = 0",
"head_r, head_c = self.snake[0]\ntail = self.snake.pop()\nself.s.remove(tail)\nif direction == 'U':\n head_r -= 1\nelif direction == 'D':\n head_r += 1\nelif directio... | <|body_start_0|>
self.snake = collections.deque([(0, 0)])
self.s = set([(0, 0)])
self.width = width
self.height = height
self.food = food
self.idx = 0
<|end_body_0|>
<|body_start_1|>
head_r, head_c = self.snake[0]
tail = self.snake.pop()
self.s.re... | SnakeGame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :typ... | stack_v2_sparse_classes_75kplus_train_007316 | 2,074 | no_license | [
{
"docstring": "Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :type width: int :type height: int :type food: List[List[int]]",
... | 2 | stack_v2_sparse_classes_30k_train_037838 | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width, height, food): Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E... | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width, height, food): Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E... | fe79161211cc08c269cde9e1fdcfed27de11f2cb | <|skeleton|>
class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :typ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :type width: int :... | the_stack_v2_python_sparse | MyLeetCode/python/Design Snake Game.py | ihuei801/leetcode | train | 0 | |
7fb48a88f253f5fb8237f7129c7f08bc903c8dd4 | [
"self._n_classes = n_classes\nself._mode = mode\nself._normalization = normalization",
"skip_128 = input_block(inputs=features, out_channels=32, normalization=self._normalization, mode=self._mode)\nskip_64 = downsample_block(inputs=skip_128, out_channels=64, normalization=self._normalization, mode=self._mode)\nsk... | <|body_start_0|>
self._n_classes = n_classes
self._mode = mode
self._normalization = normalization
<|end_body_0|>
<|body_start_1|>
skip_128 = input_block(inputs=features, out_channels=32, normalization=self._normalization, mode=self._mode)
skip_64 = downsample_block(inputs=skip_... | Model builder | Builder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Builder:
"""Model builder"""
def __init__(self, n_classes, mode, normalization='none'):
"""Configure the unet3d builder :param n_classes: Number of output channels :param mode: Estimator's execution mode :param normalization: Name of the normalization layer"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_007317 | 3,800 | permissive | [
{
"docstring": "Configure the unet3d builder :param n_classes: Number of output channels :param mode: Estimator's execution mode :param normalization: Name of the normalization layer",
"name": "__init__",
"signature": "def __init__(self, n_classes, mode, normalization='none')"
},
{
"docstring": ... | 2 | stack_v2_sparse_classes_30k_train_006888 | Implement the Python class `Builder` described below.
Class description:
Model builder
Method signatures and docstrings:
- def __init__(self, n_classes, mode, normalization='none'): Configure the unet3d builder :param n_classes: Number of output channels :param mode: Estimator's execution mode :param normalization: N... | Implement the Python class `Builder` described below.
Class description:
Model builder
Method signatures and docstrings:
- def __init__(self, n_classes, mode, normalization='none'): Configure the unet3d builder :param n_classes: Number of output channels :param mode: Estimator's execution mode :param normalization: N... | a5388a45f71a949639b35cc5b990bd130d2d8164 | <|skeleton|>
class Builder:
"""Model builder"""
def __init__(self, n_classes, mode, normalization='none'):
"""Configure the unet3d builder :param n_classes: Number of output channels :param mode: Estimator's execution mode :param normalization: Name of the normalization layer"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Builder:
"""Model builder"""
def __init__(self, n_classes, mode, normalization='none'):
"""Configure the unet3d builder :param n_classes: Number of output channels :param mode: Estimator's execution mode :param normalization: Name of the normalization layer"""
self._n_classes = n_classes
... | the_stack_v2_python_sparse | TensorFlow/Segmentation/UNet_3D_Medical/model/unet3d.py | NVIDIA/DeepLearningExamples | train | 11,838 |
5aaa1cb065834685c6f079391e64f5080d5d7e95 | [
"self.label = label\nself.statement = statement\nself.asset_id = asset_id\nself.file_type = file_type\nself.data_available = data_available\nself.additional_properties = additional_properties",
"if dictionary is None:\n return None\nlabel = dictionary.get('label')\nstatement = dictionary.get('statement')\nasse... | <|body_start_0|>
self.label = label
self.statement = statement
self.asset_id = asset_id
self.file_type = file_type
self.data_available = data_available
self.additional_properties = additional_properties
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
... | Implementation of the 'StorePayStatementRequest' model. TODO: type model description here. Attributes: label (string): The label to be associated with the pay statement. These are recommended labels: lastPayPeriod - The most recent (last) pay statement. This label will allow the paystub to go through primary data extra... | StorePayStatementRequest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StorePayStatementRequest:
"""Implementation of the 'StorePayStatementRequest' model. TODO: type model description here. Attributes: label (string): The label to be associated with the pay statement. These are recommended labels: lastPayPeriod - The most recent (last) pay statement. This label wil... | stack_v2_sparse_classes_75kplus_train_007318 | 3,317 | permissive | [
{
"docstring": "Constructor for the StorePayStatementRequest class",
"name": "__init__",
"signature": "def __init__(self, label=None, statement=None, asset_id=None, file_type=None, data_available=None, additional_properties={})"
},
{
"docstring": "Creates an instance of this model from a diction... | 2 | stack_v2_sparse_classes_30k_train_028715 | Implement the Python class `StorePayStatementRequest` described below.
Class description:
Implementation of the 'StorePayStatementRequest' model. TODO: type model description here. Attributes: label (string): The label to be associated with the pay statement. These are recommended labels: lastPayPeriod - The most rece... | Implement the Python class `StorePayStatementRequest` described below.
Class description:
Implementation of the 'StorePayStatementRequest' model. TODO: type model description here. Attributes: label (string): The label to be associated with the pay statement. These are recommended labels: lastPayPeriod - The most rece... | b2ab1ded435db75c78d42261f5e4acd2a3061487 | <|skeleton|>
class StorePayStatementRequest:
"""Implementation of the 'StorePayStatementRequest' model. TODO: type model description here. Attributes: label (string): The label to be associated with the pay statement. These are recommended labels: lastPayPeriod - The most recent (last) pay statement. This label wil... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StorePayStatementRequest:
"""Implementation of the 'StorePayStatementRequest' model. TODO: type model description here. Attributes: label (string): The label to be associated with the pay statement. These are recommended labels: lastPayPeriod - The most recent (last) pay statement. This label will allow the p... | the_stack_v2_python_sparse | finicityapi/models/store_pay_statement_request.py | monarchmoney/finicity-python | train | 0 |
371f3e653f814971e608598bae17264de5b2add1 | [
"for res in self:\n if res.assessment_type in ['quarter', 'semiannual', 'probation']:\n raise UserError('当前版本仅支持类型为月度或年度，如需其他类型请购买完整版！')\n if res.assessment_type:\n res.evaluation_ids = [(2, 0, res.evaluation_ids.ids)]\n return {'domain': {'evaluation_ids': [('cycle_type', '=', self.asses... | <|body_start_0|>
for res in self:
if res.assessment_type in ['quarter', 'semiannual', 'probation']:
raise UserError('当前版本仅支持类型为月度或年度，如需其他类型请购买完整版！')
if res.assessment_type:
res.evaluation_ids = [(2, 0, res.evaluation_ids.ids)]
return {'doma... | InitiatePerformanceAssessment | [
"Apache-2.0",
"GPL-3.0-only"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InitiatePerformanceAssessment:
def _onchange_assessment_type(self):
""":return:"""
<|body_0|>
def initiate_performance(self):
"""发起考核 :return:"""
<|body_1|>
def send_email_now(self, performance_object):
"""发送员工通知邮件，通过邮件：EMail队列管理器进行发送 :return:"""... | stack_v2_sparse_classes_75kplus_train_007319 | 6,241 | permissive | [
{
"docstring": ":return:",
"name": "_onchange_assessment_type",
"signature": "def _onchange_assessment_type(self)"
},
{
"docstring": "发起考核 :return:",
"name": "initiate_performance",
"signature": "def initiate_performance(self)"
},
{
"docstring": "发送员工通知邮件，通过邮件：EMail队列管理器进行发送 :ret... | 4 | stack_v2_sparse_classes_30k_train_016468 | Implement the Python class `InitiatePerformanceAssessment` described below.
Class description:
Implement the InitiatePerformanceAssessment class.
Method signatures and docstrings:
- def _onchange_assessment_type(self): :return:
- def initiate_performance(self): 发起考核 :return:
- def send_email_now(self, performance_obj... | Implement the Python class `InitiatePerformanceAssessment` described below.
Class description:
Implement the InitiatePerformanceAssessment class.
Method signatures and docstrings:
- def _onchange_assessment_type(self): :return:
- def initiate_performance(self): 发起考核 :return:
- def send_email_now(self, performance_obj... | 8608aaeae7a8c86d53b68ce26b7b308f779c3dd8 | <|skeleton|>
class InitiatePerformanceAssessment:
def _onchange_assessment_type(self):
""":return:"""
<|body_0|>
def initiate_performance(self):
"""发起考核 :return:"""
<|body_1|>
def send_email_now(self, performance_object):
"""发送员工通知邮件，通过邮件：EMail队列管理器进行发送 :return:"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InitiatePerformanceAssessment:
def _onchange_assessment_type(self):
""":return:"""
for res in self:
if res.assessment_type in ['quarter', 'semiannual', 'probation']:
raise UserError('当前版本仅支持类型为月度或年度，如需其他类型请购买完整版！')
if res.assessment_type:
... | the_stack_v2_python_sparse | odoo_performance_manage/wizard/initiate_performance.py | niulinlnc/odooExtModel | train | 4 | |
8873f22c3f01ae163c2573b53cfe1bf9e3fd3e33 | [
"Frame.__init__(self, master)\nself.pack()\nself.createWidgets()",
"entry_frame = Frame(self)\nself.instructions = Label(entry_frame, text=\"Enter two numbers and press 'Add' to get their sum.\")\nself.input_1_frame = LabelFrame(entry_frame, text='Input 1', labelanchor=S)\nself.input_1 = Entry(self.input_1_frame)... | <|body_start_0|>
Frame.__init__(self, master)
self.pack()
self.createWidgets()
<|end_body_0|>
<|body_start_1|>
entry_frame = Frame(self)
self.instructions = Label(entry_frame, text="Enter two numbers and press 'Add' to get their sum.")
self.input_1_frame = LabelFrame(ent... | Application main window class. | Application | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Application:
"""Application main window class."""
def __init__(self, master=None):
"""Main frame initialization (mostly delegated)"""
<|body_0|>
def createWidgets(self):
"""Add all the widgets to the main frame."""
<|body_1|>
def handle_input(self):
... | stack_v2_sparse_classes_75kplus_train_007320 | 2,676 | no_license | [
{
"docstring": "Main frame initialization (mostly delegated)",
"name": "__init__",
"signature": "def __init__(self, master=None)"
},
{
"docstring": "Add all the widgets to the main frame.",
"name": "createWidgets",
"signature": "def createWidgets(self)"
},
{
"docstring": "Validat... | 3 | null | Implement the Python class `Application` described below.
Class description:
Application main window class.
Method signatures and docstrings:
- def __init__(self, master=None): Main frame initialization (mostly delegated)
- def createWidgets(self): Add all the widgets to the main frame.
- def handle_input(self): Vali... | Implement the Python class `Application` described below.
Class description:
Application main window class.
Method signatures and docstrings:
- def __init__(self, master=None): Main frame initialization (mostly delegated)
- def createWidgets(self): Add all the widgets to the main frame.
- def handle_input(self): Vali... | f51c1d2d9557c95e869cbce5bff7158f5aa90192 | <|skeleton|>
class Application:
"""Application main window class."""
def __init__(self, master=None):
"""Main frame initialization (mostly delegated)"""
<|body_0|>
def createWidgets(self):
"""Add all the widgets to the main frame."""
<|body_1|>
def handle_input(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Application:
"""Application main window class."""
def __init__(self, master=None):
"""Main frame initialization (mostly delegated)"""
Frame.__init__(self, master)
self.pack()
self.createWidgets()
def createWidgets(self):
"""Add all the widgets to the main fram... | the_stack_v2_python_sparse | Python 02: Getting More Out of Python/Lesson 07: Introduction to Graphical User Interfaces/black_adder.py | MTset/Python-Programming-Coursework | train | 0 |
bc8fd341094527f2720baf0db05139280f8ee4d6 | [
"extension = os.path.splitext(data_file)[-1]\nif extension == '.json':\n self.vocab_set = set(json.load(open(data_file, encoding='utf-8')))\nelif extension == '.csv':\n self.vocab_df = pd.read_csv(data_file).set_index('WORD')\n self.vocab_set = set(self.vocab_df.index)\nelse:\n print('XlitError: Only Js... | <|body_start_0|>
extension = os.path.splitext(data_file)[-1]
if extension == '.json':
self.vocab_set = set(json.load(open(data_file, encoding='utf-8')))
elif extension == '.csv':
self.vocab_df = pd.read_csv(data_file).set_index('WORD')
self.vocab_set = set(sel... | VocabSanitizer | [
"CC-BY-4.0",
"CC-BY-SA-3.0",
"CC-BY-SA-4.0",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VocabSanitizer:
def __init__(self, data_file):
"""data_file: path to file conatining vocabulary list"""
<|body_0|>
def reposition(self, word_list):
"""Reorder Words in list"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
extension = os.path.splitext... | stack_v2_sparse_classes_75kplus_train_007321 | 30,029 | permissive | [
{
"docstring": "data_file: path to file conatining vocabulary list",
"name": "__init__",
"signature": "def __init__(self, data_file)"
},
{
"docstring": "Reorder Words in list",
"name": "reposition",
"signature": "def reposition(self, word_list)"
}
] | 2 | stack_v2_sparse_classes_30k_train_027692 | Implement the Python class `VocabSanitizer` described below.
Class description:
Implement the VocabSanitizer class.
Method signatures and docstrings:
- def __init__(self, data_file): data_file: path to file conatining vocabulary list
- def reposition(self, word_list): Reorder Words in list | Implement the Python class `VocabSanitizer` described below.
Class description:
Implement the VocabSanitizer class.
Method signatures and docstrings:
- def __init__(self, data_file): data_file: path to file conatining vocabulary list
- def reposition(self, word_list): Reorder Words in list
<|skeleton|>
class VocabSa... | 0e0dd8139c75477346c985201b51315b3a4e4f48 | <|skeleton|>
class VocabSanitizer:
def __init__(self, data_file):
"""data_file: path to file conatining vocabulary list"""
<|body_0|>
def reposition(self, word_list):
"""Reorder Words in list"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VocabSanitizer:
def __init__(self, data_file):
"""data_file: path to file conatining vocabulary list"""
extension = os.path.splitext(data_file)[-1]
if extension == '.json':
self.vocab_set = set(json.load(open(data_file, encoding='utf-8')))
elif extension == '.csv':
... | the_stack_v2_python_sparse | apps/ai4bharat/transliteration/xlit_src.py | JosephGeoBenjamin/IndianNLP-Transliteration | train | 2 | |
ceb8d0980c5ba00bd956b4737d89408705ef3e63 | [
"assert Q.shape == (4,), Q\nw, x, y, z = Q\nxx = x * x\nxy = x * y\nyy = y * y\nxz = x * z\nyz = y * z\nzz = z * z\nxw = x * w\nyw = y * w\nzw = z * w\nreturn np.array([[1 - 2 * (yy + zz), 2 * (xy + zw), 2 * (xz - yw)], [2 * (xy - zw), 1 - 2 * (xx + zz), 2 * (yz + xw)], [2 * (xz + yw), 2 * (yz - xw), 1 - 2 * (xx + ... | <|body_start_0|>
assert Q.shape == (4,), Q
w, x, y, z = Q
xx = x * x
xy = x * y
yy = y * y
xz = x * z
yz = y * z
zz = z * z
xw = x * w
yw = y * w
zw = z * w
return np.array([[1 - 2 * (yy + zz), 2 * (xy + zw), 2 * (xz - yw)],... | WXYZ | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WXYZ:
def to_rotation_matrix(Q: np.ndarray) -> np.ndarray:
"""See http://www.j3d.org/matrix_faq/matrfaq_latest.html#Q54 Note: the returned matrix is row-major."""
<|body_0|>
def from_rotation_matrix(R: np.ndarray) -> np.ndarray:
"""See http://www.j3d.org/matrix_faq/m... | stack_v2_sparse_classes_75kplus_train_007322 | 10,562 | no_license | [
{
"docstring": "See http://www.j3d.org/matrix_faq/matrfaq_latest.html#Q54 Note: the returned matrix is row-major.",
"name": "to_rotation_matrix",
"signature": "def to_rotation_matrix(Q: np.ndarray) -> np.ndarray"
},
{
"docstring": "See http://www.j3d.org/matrix_faq/matrfaq_latest.html#Q55 Note: ... | 2 | stack_v2_sparse_classes_30k_train_028250 | Implement the Python class `WXYZ` described below.
Class description:
Implement the WXYZ class.
Method signatures and docstrings:
- def to_rotation_matrix(Q: np.ndarray) -> np.ndarray: See http://www.j3d.org/matrix_faq/matrfaq_latest.html#Q54 Note: the returned matrix is row-major.
- def from_rotation_matrix(R: np.nd... | Implement the Python class `WXYZ` described below.
Class description:
Implement the WXYZ class.
Method signatures and docstrings:
- def to_rotation_matrix(Q: np.ndarray) -> np.ndarray: See http://www.j3d.org/matrix_faq/matrfaq_latest.html#Q54 Note: the returned matrix is row-major.
- def from_rotation_matrix(R: np.nd... | bac774e1f7b3131f559ee3ff1662836c424ebaa5 | <|skeleton|>
class WXYZ:
def to_rotation_matrix(Q: np.ndarray) -> np.ndarray:
"""See http://www.j3d.org/matrix_faq/matrfaq_latest.html#Q54 Note: the returned matrix is row-major."""
<|body_0|>
def from_rotation_matrix(R: np.ndarray) -> np.ndarray:
"""See http://www.j3d.org/matrix_faq/m... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WXYZ:
def to_rotation_matrix(Q: np.ndarray) -> np.ndarray:
"""See http://www.j3d.org/matrix_faq/matrfaq_latest.html#Q54 Note: the returned matrix is row-major."""
assert Q.shape == (4,), Q
w, x, y, z = Q
xx = x * x
xy = x * y
yy = y * y
xz = x * z
... | the_stack_v2_python_sparse | src/ie/meshroomy.py | laurelkeys/ff | train | 1 | |
0e46a0cc118ccc76b55fa23bc0c287da44e820a9 | [
"stackA = {}\nwhile headA:\n stackA.append(headA)\n headA = headA.next\nif not stackA:\n return None\nwhile headB:\n if headB in stackA:\n return headB\n headB = headB.next\nreturn None",
"if not headA or not headB:\n return None\npA = headA\npB = headB\nwhile pA != pB:\n if pA:\n ... | <|body_start_0|>
stackA = {}
while headA:
stackA.append(headA)
headA = headA.next
if not stackA:
return None
while headB:
if headB in stackA:
return headB
headB = headB.next
return None
<|end_body_0|>
<|... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> ListNode:
"""Hash table solution stores every node of list A. Iterate through list B until a node of A is found."""
<|body_0|>
def getIntersectionNode(self, headA, headB):
"""Two pointer sol... | stack_v2_sparse_classes_75kplus_train_007323 | 1,285 | no_license | [
{
"docstring": "Hash table solution stores every node of list A. Iterate through list B until a node of A is found.",
"name": "getIntersectionNode",
"signature": "def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> ListNode"
},
{
"docstring": "Two pointer solution When headA reach... | 2 | stack_v2_sparse_classes_30k_train_017259 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> ListNode: Hash table solution stores every node of list A. Iterate through list B until a node of A is found.
-... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> ListNode: Hash table solution stores every node of list A. Iterate through list B until a node of A is found.
-... | f33d004d7629d46fbc5670f5b384f8a604d7f1e7 | <|skeleton|>
class Solution:
def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> ListNode:
"""Hash table solution stores every node of list A. Iterate through list B until a node of A is found."""
<|body_0|>
def getIntersectionNode(self, headA, headB):
"""Two pointer sol... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> ListNode:
"""Hash table solution stores every node of list A. Iterate through list B until a node of A is found."""
stackA = {}
while headA:
stackA.append(headA)
headA = headA.next
... | the_stack_v2_python_sparse | Intersection of Two Linked Lists.py | aulee888/LeetCode | train | 0 | |
19b2f7de29fc4c6c05179ac255e523902fcbbfc3 | [
"username = self.cleaned_data.get('username')\nif not User.objects.filter(username=username).exists():\n try:\n username = User.objects.get(email=username).username\n except (User.DoesNotExist, User.MultipleObjectsReturned):\n pass\nreturn username",
"request = self.request\nif is_ratelimited(... | <|body_start_0|>
username = self.cleaned_data.get('username')
if not User.objects.filter(username=username).exists():
try:
username = User.objects.get(email=username).username
except (User.DoesNotExist, User.MultipleObjectsReturned):
pass
r... | Mixin for enhancing authentication forms. This extends Django's built-in AuthenticationForm implementation to allow users to specify their e-mail address in place of their username. In addition, it also tracks the number of failed login attempts for a given time frame, and informs the user whether the maximum number of... | ReviewBoardAuthenticationFormMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReviewBoardAuthenticationFormMixin:
"""Mixin for enhancing authentication forms. This extends Django's built-in AuthenticationForm implementation to allow users to specify their e-mail address in place of their username. In addition, it also tracks the number of failed login attempts for a given ... | stack_v2_sparse_classes_75kplus_train_007324 | 20,784 | permissive | [
{
"docstring": "Validate the 'username' field. In case the given text is not a user found on the system, attempt a look-up using it as an e-mail address and change the user-entered text so that login can succeed.",
"name": "clean_username",
"signature": "def clean_username(self)"
},
{
"docstring... | 2 | stack_v2_sparse_classes_30k_train_016834 | Implement the Python class `ReviewBoardAuthenticationFormMixin` described below.
Class description:
Mixin for enhancing authentication forms. This extends Django's built-in AuthenticationForm implementation to allow users to specify their e-mail address in place of their username. In addition, it also tracks the numbe... | Implement the Python class `ReviewBoardAuthenticationFormMixin` described below.
Class description:
Mixin for enhancing authentication forms. This extends Django's built-in AuthenticationForm implementation to allow users to specify their e-mail address in place of their username. In addition, it also tracks the numbe... | c3a991f1e9d7682239a1ab0e8661cee6da01d537 | <|skeleton|>
class ReviewBoardAuthenticationFormMixin:
"""Mixin for enhancing authentication forms. This extends Django's built-in AuthenticationForm implementation to allow users to specify their e-mail address in place of their username. In addition, it also tracks the number of failed login attempts for a given ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ReviewBoardAuthenticationFormMixin:
"""Mixin for enhancing authentication forms. This extends Django's built-in AuthenticationForm implementation to allow users to specify their e-mail address in place of their username. In addition, it also tracks the number of failed login attempts for a given time frame, a... | the_stack_v2_python_sparse | reviewboard/accounts/forms/auth.py | reviewboard/reviewboard | train | 1,141 |
5884c9d06bb9947a11e2247472b18c5c2f5c5815 | [
"global op\nop = 0\nnext = pcs.Field('next_header', 8)\nlen = pcs.Field('length', 8)\ntype = pcs.Field('type', 8)\npcs.Packet.__init__(self, [next, len, type], bytes)",
"global op\nop += 1\notype = pcs.Field('otype' + str(op), 8)\nolen = pcs.Field('olength' + str(op), 8, default=len / 8)\nif len != 0:\n odata ... | <|body_start_0|>
global op
op = 0
next = pcs.Field('next_header', 8)
len = pcs.Field('length', 8)
type = pcs.Field('type', 8)
pcs.Packet.__init__(self, [next, len, type], bytes)
<|end_body_0|>
<|body_start_1|>
global op
op += 1
otype = pcs.Field('... | A class that contains the IPv6 destination options extension-headers. | dstopts | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class dstopts:
"""A class that contains the IPv6 destination options extension-headers."""
def __init__(self, bytes=None):
"""IPv6 destination options extension header from RFC 2460"""
<|body_0|>
def option(self, len=0):
"""add option header to the destination extensio... | stack_v2_sparse_classes_75kplus_train_007325 | 7,919 | no_license | [
{
"docstring": "IPv6 destination options extension header from RFC 2460",
"name": "__init__",
"signature": "def __init__(self, bytes=None)"
},
{
"docstring": "add option header to the destination extension header",
"name": "option",
"signature": "def option(self, len=0)"
}
] | 2 | stack_v2_sparse_classes_30k_train_034936 | Implement the Python class `dstopts` described below.
Class description:
A class that contains the IPv6 destination options extension-headers.
Method signatures and docstrings:
- def __init__(self, bytes=None): IPv6 destination options extension header from RFC 2460
- def option(self, len=0): add option header to the... | Implement the Python class `dstopts` described below.
Class description:
A class that contains the IPv6 destination options extension-headers.
Method signatures and docstrings:
- def __init__(self, bytes=None): IPv6 destination options extension header from RFC 2460
- def option(self, len=0): add option header to the... | a070a39586b582fbeea72abf12bbfd812955ad81 | <|skeleton|>
class dstopts:
"""A class that contains the IPv6 destination options extension-headers."""
def __init__(self, bytes=None):
"""IPv6 destination options extension header from RFC 2460"""
<|body_0|>
def option(self, len=0):
"""add option header to the destination extensio... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class dstopts:
"""A class that contains the IPv6 destination options extension-headers."""
def __init__(self, bytes=None):
"""IPv6 destination options extension header from RFC 2460"""
global op
op = 0
next = pcs.Field('next_header', 8)
len = pcs.Field('length', 8)
... | the_stack_v2_python_sparse | src/pcs/packets/ipv6.py | bilouro/tcptest | train | 0 |
ea9dcadeeb2ae4e8f1d652d7373df9ea7c6728c1 | [
"super(SentimentRNN, self).__init__()\nself.output_size = output_dim\nself.num_layers = num_layers\nself.hidden_dim = hidden_dim\nself.embedding = nn.Embedding(vocab_size, input_dim)\nself.lstm = nn.LSTM(input_dim, hidden_dim, num_layers, dropout=dropout, bidirectional=False, batch_first=True)\nself.dropout = nn.Dr... | <|body_start_0|>
super(SentimentRNN, self).__init__()
self.output_size = output_dim
self.num_layers = num_layers
self.hidden_dim = hidden_dim
self.embedding = nn.Embedding(vocab_size, input_dim)
self.lstm = nn.LSTM(input_dim, hidden_dim, num_layers, dropout=dropout, bidir... | The RNN model that will be used to perform Sentiment analysis. | SentimentRNN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SentimentRNN:
"""The RNN model that will be used to perform Sentiment analysis."""
def __init__(self, embeddings, input_dim, vocab_size, hidden_dim, num_layers, output_dim, max_len=100, dropout=0.5):
"""Initialize the model by setting up the layers."""
<|body_0|>
def for... | stack_v2_sparse_classes_75kplus_train_007326 | 11,843 | no_license | [
{
"docstring": "Initialize the model by setting up the layers.",
"name": "__init__",
"signature": "def __init__(self, embeddings, input_dim, vocab_size, hidden_dim, num_layers, output_dim, max_len=100, dropout=0.5)"
},
{
"docstring": "Perform a forward pass of our model on some input and hidden ... | 2 | stack_v2_sparse_classes_30k_train_043648 | Implement the Python class `SentimentRNN` described below.
Class description:
The RNN model that will be used to perform Sentiment analysis.
Method signatures and docstrings:
- def __init__(self, embeddings, input_dim, vocab_size, hidden_dim, num_layers, output_dim, max_len=100, dropout=0.5): Initialize the model by ... | Implement the Python class `SentimentRNN` described below.
Class description:
The RNN model that will be used to perform Sentiment analysis.
Method signatures and docstrings:
- def __init__(self, embeddings, input_dim, vocab_size, hidden_dim, num_layers, output_dim, max_len=100, dropout=0.5): Initialize the model by ... | 031067ce6a927793045d104218f23d7be336f201 | <|skeleton|>
class SentimentRNN:
"""The RNN model that will be used to perform Sentiment analysis."""
def __init__(self, embeddings, input_dim, vocab_size, hidden_dim, num_layers, output_dim, max_len=100, dropout=0.5):
"""Initialize the model by setting up the layers."""
<|body_0|>
def for... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SentimentRNN:
"""The RNN model that will be used to perform Sentiment analysis."""
def __init__(self, embeddings, input_dim, vocab_size, hidden_dim, num_layers, output_dim, max_len=100, dropout=0.5):
"""Initialize the model by setting up the layers."""
super(SentimentRNN, self).__init__()... | the_stack_v2_python_sparse | Handson-ML/kaggle/sentiment_analysis_on_movie_reviews/torch_lstm_solution.py | txsniper/Learning-Note | train | 7 |
75106ba0a0302156764fee6e8060d20aa0d08363 | [
"all_subsets = []\ncurrent = []\nself.generate_subsets(nums, 0, all_subsets, current)\nreturn all_subsets",
"print(current)\nall_subsets.append(current[:])\nfor i in range(index, len(nums)):\n current.append(nums[i])\n self.generate_subsets(nums, i + 1, all_subsets, current)\n current.pop()"
] | <|body_start_0|>
all_subsets = []
current = []
self.generate_subsets(nums, 0, all_subsets, current)
return all_subsets
<|end_body_0|>
<|body_start_1|>
print(current)
all_subsets.append(current[:])
for i in range(index, len(nums)):
current.append(nums[... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def subsets(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def generate_subsets(self, nums, index, all_subsets, current):
"""Forms the all possible subsets of the given set of numbers"""
<|body_1|>
<|end_skeleton|>
<|b... | stack_v2_sparse_classes_75kplus_train_007327 | 1,182 | permissive | [
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "subsets",
"signature": "def subsets(self, nums)"
},
{
"docstring": "Forms the all possible subsets of the given set of numbers",
"name": "generate_subsets",
"signature": "def generate_subsets(self, nums, index, all_... | 2 | stack_v2_sparse_classes_30k_train_028633 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subsets(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def generate_subsets(self, nums, index, all_subsets, current): Forms the all possible subsets of the give... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subsets(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def generate_subsets(self, nums, index, all_subsets, current): Forms the all possible subsets of the give... | 547c200b627c774535bc22880b16d5390183aeba | <|skeleton|>
class Solution:
def subsets(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def generate_subsets(self, nums, index, all_subsets, current):
"""Forms the all possible subsets of the given set of numbers"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def subsets(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
all_subsets = []
current = []
self.generate_subsets(nums, 0, all_subsets, current)
return all_subsets
def generate_subsets(self, nums, index, all_subsets, current):
"""Fo... | the_stack_v2_python_sparse | medium/78_subsets.py | Sukhrobjon/leetcode | train | 0 | |
387e927070389bbbebded9641a55d59a8283f1aa | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn Domain()",
"from .directory_object import DirectoryObject\nfrom .domain_dns_record import DomainDnsRecord\nfrom .domain_state import DomainState\nfrom .entity import Entity\nfrom .internal_domain_federation import InternalDomainFederat... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return Domain()
<|end_body_0|>
<|body_start_1|>
from .directory_object import DirectoryObject
from .domain_dns_record import DomainDnsRecord
from .domain_state import DomainState
... | Domain | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Domain:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Domain:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: Domain"""
... | stack_v2_sparse_classes_75kplus_train_007328 | 9,421 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: Domain",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_value(parse_... | 3 | stack_v2_sparse_classes_30k_train_026855 | Implement the Python class `Domain` described below.
Class description:
Implement the Domain class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Domain: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: Th... | Implement the Python class `Domain` described below.
Class description:
Implement the Domain class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Domain: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: Th... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class Domain:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Domain:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: Domain"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Domain:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Domain:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: Domain"""
if not p... | the_stack_v2_python_sparse | msgraph/generated/models/domain.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
555c8a6f8091c7e47c2c87f6762c78fae3129f34 | [
"super().__init__()\nout_channels = 2 * in_channels\nself.down_conv = nn.Conv2d(in_channels, out_channels, kernel_size=2, stride=2, bias=bias)\nself.bn1 = nn.BatchNorm2d(out_channels)\nself.act_function1 = act(inplace=True)\nself.act_function2 = act(inplace=True)\nself.ops = _make_nconv(out_channels, convs, act, bi... | <|body_start_0|>
super().__init__()
out_channels = 2 * in_channels
self.down_conv = nn.Conv2d(in_channels, out_channels, kernel_size=2, stride=2, bias=bias)
self.bn1 = nn.BatchNorm2d(out_channels)
self.act_function1 = act(inplace=True)
self.act_function2 = act(inplace=Tru... | Down Transition Block. | DownTransition | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DownTransition:
"""Down Transition Block."""
def __init__(self, in_channels: int, convs: int, act: nn.Module=nn.ELU, dropout_prob: float=0.0, bias: bool=False):
"""Parameters ---------- in_channels : int Number of input channels. convs : int Number of LUConv layers. act : nn.Module A... | stack_v2_sparse_classes_75kplus_train_007329 | 8,968 | permissive | [
{
"docstring": "Parameters ---------- in_channels : int Number of input channels. convs : int Number of LUConv layers. act : nn.Module Activation function. dropout_prob : float Dropout probability. bias : bool Whether to use bias.",
"name": "__init__",
"signature": "def __init__(self, in_channels: int, ... | 2 | stack_v2_sparse_classes_30k_train_006159 | Implement the Python class `DownTransition` described below.
Class description:
Down Transition Block.
Method signatures and docstrings:
- def __init__(self, in_channels: int, convs: int, act: nn.Module=nn.ELU, dropout_prob: float=0.0, bias: bool=False): Parameters ---------- in_channels : int Number of input channel... | Implement the Python class `DownTransition` described below.
Class description:
Down Transition Block.
Method signatures and docstrings:
- def __init__(self, in_channels: int, convs: int, act: nn.Module=nn.ELU, dropout_prob: float=0.0, bias: bool=False): Parameters ---------- in_channels : int Number of input channel... | 6d15dd55ca5ed6fc9fbfd31d8488ee7bab453066 | <|skeleton|>
class DownTransition:
"""Down Transition Block."""
def __init__(self, in_channels: int, convs: int, act: nn.Module=nn.ELU, dropout_prob: float=0.0, bias: bool=False):
"""Parameters ---------- in_channels : int Number of input channels. convs : int Number of LUConv layers. act : nn.Module A... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DownTransition:
"""Down Transition Block."""
def __init__(self, in_channels: int, convs: int, act: nn.Module=nn.ELU, dropout_prob: float=0.0, bias: bool=False):
"""Parameters ---------- in_channels : int Number of input channels. convs : int Number of LUConv layers. act : nn.Module Activation fun... | the_stack_v2_python_sparse | mridc/collections/segmentation/models/vnet_base/vnet_block.py | wdika/mridc | train | 40 |
da34c3f5ebfb7c342b52fd829cbd21838c150cf6 | [
"super(Filterer, self).__init__()\nself.expression = expression\nself.target = target\nself._event = event\nself._regex = None\nreturn",
"if self._event is None:\n self._event = DummyEvent()\nreturn self._event",
"if self._regex is None:\n self._regex = re.compile(self.expression)\nreturn self._regex",
... | <|body_start_0|>
super(Filterer, self).__init__()
self.expression = expression
self.target = target
self._event = event
self._regex = None
return
<|end_body_0|>
<|body_start_1|>
if self._event is None:
self._event = DummyEvent()
return self._e... | A Filterer filters out strings that don't match an expression. | Filterer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Filterer:
"""A Filterer filters out strings that don't match an expression."""
def __init__(self, expression, target, event=None):
""":param: - `expression`: A regular expression. - `target`: a target to send matching strings to - `event`: an Event to activate flow through the filter... | stack_v2_sparse_classes_75kplus_train_007330 | 1,774 | permissive | [
{
"docstring": ":param: - `expression`: A regular expression. - `target`: a target to send matching strings to - `event`: an Event to activate flow through the filter",
"name": "__init__",
"signature": "def __init__(self, expression, target, event=None)"
},
{
"docstring": ":return: threading eve... | 4 | stack_v2_sparse_classes_30k_train_028857 | Implement the Python class `Filterer` described below.
Class description:
A Filterer filters out strings that don't match an expression.
Method signatures and docstrings:
- def __init__(self, expression, target, event=None): :param: - `expression`: A regular expression. - `target`: a target to send matching strings t... | Implement the Python class `Filterer` described below.
Class description:
A Filterer filters out strings that don't match an expression.
Method signatures and docstrings:
- def __init__(self, expression, target, event=None): :param: - `expression`: A regular expression. - `target`: a target to send matching strings t... | b4d1c77e1d611fe2b30768b42bdc7493afb0ea95 | <|skeleton|>
class Filterer:
"""A Filterer filters out strings that don't match an expression."""
def __init__(self, expression, target, event=None):
""":param: - `expression`: A regular expression. - `target`: a target to send matching strings to - `event`: an Event to activate flow through the filter... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Filterer:
"""A Filterer filters out strings that don't match an expression."""
def __init__(self, expression, target, event=None):
""":param: - `expression`: A regular expression. - `target`: a target to send matching strings to - `event`: an Event to activate flow through the filter"""
s... | the_stack_v2_python_sparse | apetools/commons/filterer.py | russell-n/oldape | train | 0 |
ed2ae09a932a04cab6416112802b5220c621265d | [
"super().__init__()\nimport sklearn\nimport sklearn.naive_bayes\nself.model = sklearn.naive_bayes.GaussianNB",
"specs = super(GaussianNB, cls).getInputSpecification()\nspecs.description = 'The \\\\\\\\textit{GaussianNB} classifier implements the Gaussian Naive Bayes\\n algorithm for classi... | <|body_start_0|>
super().__init__()
import sklearn
import sklearn.naive_bayes
self.model = sklearn.naive_bayes.GaussianNB
<|end_body_0|>
<|body_start_1|>
specs = super(GaussianNB, cls).getInputSpecification()
specs.description = 'The \\\\textit{GaussianNB} classifier imp... | GaussianNB Classifier Gaussian Naive Bayes (GaussianNB) classifier | GaussianNB | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer",
"BSD-2-Clause",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GaussianNB:
"""GaussianNB Classifier Gaussian Naive Bayes (GaussianNB) classifier"""
def __init__(self):
"""Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None"""
<|body_0|>
def getInputSpecification(cls):
"""Method ... | stack_v2_sparse_classes_75kplus_train_007331 | 4,253 | permissive | [
{
"docstring": "Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Method to get a reference to a class that specifies the input data for class cls. @ In, cls, the class for... | 3 | stack_v2_sparse_classes_30k_train_006065 | Implement the Python class `GaussianNB` described below.
Class description:
GaussianNB Classifier Gaussian Naive Bayes (GaussianNB) classifier
Method signatures and docstrings:
- def __init__(self): Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None
- def getInputSpecif... | Implement the Python class `GaussianNB` described below.
Class description:
GaussianNB Classifier Gaussian Naive Bayes (GaussianNB) classifier
Method signatures and docstrings:
- def __init__(self): Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None
- def getInputSpecif... | 2b16e7aa3325fe84cab2477947a951414c635381 | <|skeleton|>
class GaussianNB:
"""GaussianNB Classifier Gaussian Naive Bayes (GaussianNB) classifier"""
def __init__(self):
"""Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None"""
<|body_0|>
def getInputSpecification(cls):
"""Method ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GaussianNB:
"""GaussianNB Classifier Gaussian Naive Bayes (GaussianNB) classifier"""
def __init__(self):
"""Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None"""
super().__init__()
import sklearn
import sklearn.naive_bayes
... | the_stack_v2_python_sparse | ravenframework/SupervisedLearning/ScikitLearn/NaiveBayes/GaussianNBClassifier.py | idaholab/raven | train | 201 |
d45c0a98cf5d1ee7a2f539e6448716fb3487232a | [
"out_module_path = self.path + module_name + '/' + self.outpath_foldername + '/' + project_name + '/' + self.map_outputpath_folder[self.projects[project_name]['by']] + '/'\nif not os.path.exists(out_module_path):\n os.makedirs(out_module_path)\nreturn out_module_path",
"res_module_path = self.path + module_nam... | <|body_start_0|>
out_module_path = self.path + module_name + '/' + self.outpath_foldername + '/' + project_name + '/' + self.map_outputpath_folder[self.projects[project_name]['by']] + '/'
if not os.path.exists(out_module_path):
os.makedirs(out_module_path)
return out_module_path
<|en... | Framework | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Framework:
def get_outfolder_path(self, project_name, module_name):
"""Get the output folder path :param project_name: :param module_name: :return:"""
<|body_0|>
def get_resfolder_path(self, project_name, module_name):
"""Get the output folder path :param project_nam... | stack_v2_sparse_classes_75kplus_train_007332 | 1,538 | no_license | [
{
"docstring": "Get the output folder path :param project_name: :param module_name: :return:",
"name": "get_outfolder_path",
"signature": "def get_outfolder_path(self, project_name, module_name)"
},
{
"docstring": "Get the output folder path :param project_name: :param module_name: :return:",
... | 2 | stack_v2_sparse_classes_30k_train_004231 | Implement the Python class `Framework` described below.
Class description:
Implement the Framework class.
Method signatures and docstrings:
- def get_outfolder_path(self, project_name, module_name): Get the output folder path :param project_name: :param module_name: :return:
- def get_resfolder_path(self, project_nam... | Implement the Python class `Framework` described below.
Class description:
Implement the Framework class.
Method signatures and docstrings:
- def get_outfolder_path(self, project_name, module_name): Get the output folder path :param project_name: :param module_name: :return:
- def get_resfolder_path(self, project_nam... | f434776eb5966f706e6190b8ab576bf98229715f | <|skeleton|>
class Framework:
def get_outfolder_path(self, project_name, module_name):
"""Get the output folder path :param project_name: :param module_name: :return:"""
<|body_0|>
def get_resfolder_path(self, project_name, module_name):
"""Get the output folder path :param project_nam... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Framework:
def get_outfolder_path(self, project_name, module_name):
"""Get the output folder path :param project_name: :param module_name: :return:"""
out_module_path = self.path + module_name + '/' + self.outpath_foldername + '/' + project_name + '/' + self.map_outputpath_folder[self.projects... | the_stack_v2_python_sparse | mailib/workflow/workflow.py | TomCMM/sib2_reg_lcb | train | 0 | |
68ad8f8efb4a57cd48c279f3f5d58948212cb1aa | [
"self.description = description\nself.suggested_values = suggested_values\nself.default = default\nself.languages = Languages(languages)",
"if obj is not None:\n if self.languages and obj.language not in self.languages:\n raise TasteError('%s.%s is not available for %s.' % (type(obj).__qualname__, self.... | <|body_start_0|>
self.description = description
self.suggested_values = suggested_values
self.default = default
self.languages = Languages(languages)
<|end_body_0|>
<|body_start_1|>
if obj is not None:
if self.languages and obj.language not in self.languages:
... | Defines tastes in aspectclass definitions. Tastes can be made only available for certain languages by providing a ``tuple`` of language identifiers on instantiation: >>> Taste[bool]( ... 'Ignore ``using`` directives in C#.', ... (True, False), default=False, ... languages=('CSharp', ) ... ).languages (C#,) If no `langu... | Taste | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Taste:
"""Defines tastes in aspectclass definitions. Tastes can be made only available for certain languages by providing a ``tuple`` of language identifiers on instantiation: >>> Taste[bool]( ... 'Ignore ``using`` directives in C#.', ... (True, False), default=False, ... languages=('CSharp', ) .... | stack_v2_sparse_classes_75kplus_train_007333 | 2,896 | no_license | [
{
"docstring": "Creates a new taste that can be optionally only available for the given `languages`, which must be language identifiers supported by :class:`coalib.bearlib.languages.Language`. No need to specify name an cast type: The taste name is defined by the taste's attribute name in an aspectclass definit... | 3 | stack_v2_sparse_classes_30k_val_001440 | Implement the Python class `Taste` described below.
Class description:
Defines tastes in aspectclass definitions. Tastes can be made only available for certain languages by providing a ``tuple`` of language identifiers on instantiation: >>> Taste[bool]( ... 'Ignore ``using`` directives in C#.', ... (True, False), defa... | Implement the Python class `Taste` described below.
Class description:
Defines tastes in aspectclass definitions. Tastes can be made only available for certain languages by providing a ``tuple`` of language identifiers on instantiation: >>> Taste[bool]( ... 'Ignore ``using`` directives in C#.', ... (True, False), defa... | d494b3041069d377d6a7a9c296a14334f2fa5acc | <|skeleton|>
class Taste:
"""Defines tastes in aspectclass definitions. Tastes can be made only available for certain languages by providing a ``tuple`` of language identifiers on instantiation: >>> Taste[bool]( ... 'Ignore ``using`` directives in C#.', ... (True, False), default=False, ... languages=('CSharp', ) .... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Taste:
"""Defines tastes in aspectclass definitions. Tastes can be made only available for certain languages by providing a ``tuple`` of language identifiers on instantiation: >>> Taste[bool]( ... 'Ignore ``using`` directives in C#.', ... (True, False), default=False, ... languages=('CSharp', ) ... ).language... | the_stack_v2_python_sparse | python/coala_coala/coala-master/coalib/bearlib/aspects/taste.py | LiuFang816/SALSTM_py_data | train | 10 |
79fe8892580e23bd912fa3b8dff67c591777c650 | [
"self.params = [W]\nself.grads = [np.zeros_like(W)]\nself.idx = None",
"W, = self.params\nself.idx = idx\nout = W[idx]\nreturn out"
] | <|body_start_0|>
self.params = [W]
self.grads = [np.zeros_like(W)]
self.idx = None
<|end_body_0|>
<|body_start_1|>
W, = self.params
self.idx = idx
out = W[idx]
return out
<|end_body_1|>
| Embedding | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Embedding:
def __init__(self, W):
"""W : 重み行列, word2vecの埋め込み行列に相当する。配列形状は、(語彙数、埋め込みベクトルの要素数)"""
<|body_0|>
def forward(self, idx):
"""順伝播計算"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.params = [W]
self.grads = [np.zeros_like(W)]
... | stack_v2_sparse_classes_75kplus_train_007334 | 2,822 | permissive | [
{
"docstring": "W : 重み行列, word2vecの埋め込み行列に相当する。配列形状は、(語彙数、埋め込みベクトルの要素数)",
"name": "__init__",
"signature": "def __init__(self, W)"
},
{
"docstring": "順伝播計算",
"name": "forward",
"signature": "def forward(self, idx)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009513 | Implement the Python class `Embedding` described below.
Class description:
Implement the Embedding class.
Method signatures and docstrings:
- def __init__(self, W): W : 重み行列, word2vecの埋め込み行列に相当する。配列形状は、(語彙数、埋め込みベクトルの要素数)
- def forward(self, idx): 順伝播計算 | Implement the Python class `Embedding` described below.
Class description:
Implement the Embedding class.
Method signatures and docstrings:
- def __init__(self, W): W : 重み行列, word2vecの埋め込み行列に相当する。配列形状は、(語彙数、埋め込みベクトルの要素数)
- def forward(self, idx): 順伝播計算
<|skeleton|>
class Embedding:
def __init__(self, W):
... | d3f8a36c068db44391afcf4727ccbb7c456852c2 | <|skeleton|>
class Embedding:
def __init__(self, W):
"""W : 重み行列, word2vecの埋め込み行列に相当する。配列形状は、(語彙数、埋め込みベクトルの要素数)"""
<|body_0|>
def forward(self, idx):
"""順伝播計算"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Embedding:
def __init__(self, W):
"""W : 重み行列, word2vecの埋め込み行列に相当する。配列形状は、(語彙数、埋め込みベクトルの要素数)"""
self.params = [W]
self.grads = [np.zeros_like(W)]
self.idx = None
def forward(self, idx):
"""順伝播計算"""
W, = self.params
self.idx = idx
out = W[idx... | the_stack_v2_python_sparse | chapter15/layers.py | skillup-ai/tettei-engineer | train | 26 | |
aeac4d50df9de8bffa7dabfe632fce9b0bc510fe | [
"self.f = [0] * len(nums)\nfor i, x in enumerate(nums):\n self.f[i] = self.f[i - 1] + x",
"if i > 0:\n prefix = self.f[i - 1]\nelse:\n prefix = 0\nreturn self.f[j] - prefix"
] | <|body_start_0|>
self.f = [0] * len(nums)
for i, x in enumerate(nums):
self.f[i] = self.f[i - 1] + x
<|end_body_0|>
<|body_start_1|>
if i > 0:
prefix = self.f[i - 1]
else:
prefix = 0
return self.f[j] - prefix
<|end_body_1|>
| NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.f = [0] * len(nums)
for i, x in enumerate(nums... | stack_v2_sparse_classes_75kplus_train_007335 | 624 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type i: int :type j: int :rtype: int",
"name": "sumRange",
"signature": "def sumRange(self, i, j)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013834 | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int
<|skeleton|>
class NumArray:
def __init__(self, nums):
... | e471af90af15e8a4b304e0244a724698a47286f2 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
self.f = [0] * len(nums)
for i, x in enumerate(nums):
self.f[i] = self.f[i - 1] + x
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
if i > 0:
prefix = self... | the_stack_v2_python_sparse | 303.py | hchen13/LeetCode | train | 0 | |
5df56d9dd6be2f5c4957777354b81dc4dc845aac | [
"self.main_window = QtGui.QWidget()\nself.gui = Gui()\nself.gui.setupUi(self.main_window)\nself.gui.f_to_c_button.clicked.connect(self.f_to_c)\nself.gui.c_to_f_button.clicked.connect(self.c_to_f)\nself.main_window.setWindowTitle(title)\nself.main_window.setGeometry(40, 40, 200, 150)",
"f = float(self.gui.fahrenhe... | <|body_start_0|>
self.main_window = QtGui.QWidget()
self.gui = Gui()
self.gui.setupUi(self.main_window)
self.gui.f_to_c_button.clicked.connect(self.f_to_c)
self.gui.c_to_f_button.clicked.connect(self.c_to_f)
self.main_window.setWindowTitle(title)
self.main_window.... | Application class to create and control the gui. | App | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class App:
"""Application class to create and control the gui."""
def __init__(self, title='Temperature Conversion'):
"""Initialize the gui."""
<|body_0|>
def f_to_c(self):
"""Convert from fahrenheit to celsius."""
<|body_1|>
def c_to_f(self):
"""C... | stack_v2_sparse_classes_75kplus_train_007336 | 2,315 | no_license | [
{
"docstring": "Initialize the gui.",
"name": "__init__",
"signature": "def __init__(self, title='Temperature Conversion')"
},
{
"docstring": "Convert from fahrenheit to celsius.",
"name": "f_to_c",
"signature": "def f_to_c(self)"
},
{
"docstring": "Convert from celsius to fahren... | 3 | stack_v2_sparse_classes_30k_train_019156 | Implement the Python class `App` described below.
Class description:
Application class to create and control the gui.
Method signatures and docstrings:
- def __init__(self, title='Temperature Conversion'): Initialize the gui.
- def f_to_c(self): Convert from fahrenheit to celsius.
- def c_to_f(self): Convert from cel... | Implement the Python class `App` described below.
Class description:
Application class to create and control the gui.
Method signatures and docstrings:
- def __init__(self, title='Temperature Conversion'): Initialize the gui.
- def f_to_c(self): Convert from fahrenheit to celsius.
- def c_to_f(self): Convert from cel... | 0e3470085083012f893adb22aa46d46039016965 | <|skeleton|>
class App:
"""Application class to create and control the gui."""
def __init__(self, title='Temperature Conversion'):
"""Initialize the gui."""
<|body_0|>
def f_to_c(self):
"""Convert from fahrenheit to celsius."""
<|body_1|>
def c_to_f(self):
"""C... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class App:
"""Application class to create and control the gui."""
def __init__(self, title='Temperature Conversion'):
"""Initialize the gui."""
self.main_window = QtGui.QWidget()
self.gui = Gui()
self.gui.setupUi(self.main_window)
self.gui.f_to_c_button.clicked.connect(s... | the_stack_v2_python_sparse | CS_210 (Introduction to Programming)/Labs/Gooey/TemperatureApp.py | JacobOrner/USAFA | train | 0 |
1c249f7a80400f2454c99c1015c7ae59deee0e98 | [
"reg_a_port = IOPort('reg-a', 'control', 'in', 4, False)\nreg_b_port = IOPort('reg-b', 'control', 'in', 4, False)\nreg_w_con = IOPort('reg-w-con', 'control', 'in', 1, False)\nreg_w_port = IOPort('reg-w', 'control', 'in', 4, False)\ndata_w_port = IOPort('data-w', 'data', 'in')\ndata_a_port = IOPort('data-a', 'data',... | <|body_start_0|>
reg_a_port = IOPort('reg-a', 'control', 'in', 4, False)
reg_b_port = IOPort('reg-b', 'control', 'in', 4, False)
reg_w_con = IOPort('reg-w-con', 'control', 'in', 1, False)
reg_w_port = IOPort('reg-w', 'control', 'in', 4, False)
data_w_port = IOPort('data-w', 'data... | A class to represent a register bank that extends Component. This class is a functional logic component that retrieves data at a given memory address. Attributes: data (List[Signal]): the register contents indexed by register address | Register | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Register:
"""A class to represent a register bank that extends Component. This class is a functional logic component that retrieves data at a given memory address. Attributes: data (List[Signal]): the register contents indexed by register address"""
def __init__(self):
"""Initialize ... | stack_v2_sparse_classes_75kplus_train_007337 | 3,000 | no_license | [
{
"docstring": "Initialize the Register object and extend Component.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Execute the register's read functional logic. The register bank retrieves data at a given register address.",
"name": "_execute_read",
"signatur... | 4 | stack_v2_sparse_classes_30k_train_014587 | Implement the Python class `Register` described below.
Class description:
A class to represent a register bank that extends Component. This class is a functional logic component that retrieves data at a given memory address. Attributes: data (List[Signal]): the register contents indexed by register address
Method sig... | Implement the Python class `Register` described below.
Class description:
A class to represent a register bank that extends Component. This class is a functional logic component that retrieves data at a given memory address. Attributes: data (List[Signal]): the register contents indexed by register address
Method sig... | 0b360801545e459d616b35435788fddbb958a626 | <|skeleton|>
class Register:
"""A class to represent a register bank that extends Component. This class is a functional logic component that retrieves data at a given memory address. Attributes: data (List[Signal]): the register contents indexed by register address"""
def __init__(self):
"""Initialize ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Register:
"""A class to represent a register bank that extends Component. This class is a functional logic component that retrieves data at a given memory address. Attributes: data (List[Signal]): the register contents indexed by register address"""
def __init__(self):
"""Initialize the Register ... | the_stack_v2_python_sparse | components/register.py | bwiswell/py-virpu | train | 1 |
5fc6c86715e2405076541db45616642c32dc24c5 | [
"self.n_iter = 0\nself.n_steps = n_steps\nself.walkers = np.zeros((2, n_walkers), int)\nself.n_walkers = n_walkers",
"while self.n_iter < self.n_steps:\n x = ran.randint(low=-1, high=2, size=self.n_walkers)\n y = ran.randint(low=-1, high=2, size=self.n_walkers)\n self.walkers[0] += x\n self.walkers[1]... | <|body_start_0|>
self.n_iter = 0
self.n_steps = n_steps
self.walkers = np.zeros((2, n_walkers), int)
self.n_walkers = n_walkers
<|end_body_0|>
<|body_start_1|>
while self.n_iter < self.n_steps:
x = ran.randint(low=-1, high=2, size=self.n_walkers)
y = ran.... | class for random walk simulation parameters: self.n_iter - number of executed iterations self.n_steps: - number of steps to be performed self.walkers: - ndarray that holds x & y coords of each walker self.walkers[0] are x coords. self.walkers[1] are y coords. | random_walk | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class random_walk:
"""class for random walk simulation parameters: self.n_iter - number of executed iterations self.n_steps: - number of steps to be performed self.walkers: - ndarray that holds x & y coords of each walker self.walkers[0] are x coords. self.walkers[1] are y coords."""
def __init__(... | stack_v2_sparse_classes_75kplus_train_007338 | 1,945 | no_license | [
{
"docstring": "initialize walkers to origin",
"name": "__init__",
"signature": "def __init__(self, n_walkers, n_steps)"
},
{
"docstring": "update the random walk and call plot method each time",
"name": "iterate",
"signature": "def iterate(self)"
},
{
"docstring": "plots the wal... | 3 | stack_v2_sparse_classes_30k_train_009577 | Implement the Python class `random_walk` described below.
Class description:
class for random walk simulation parameters: self.n_iter - number of executed iterations self.n_steps: - number of steps to be performed self.walkers: - ndarray that holds x & y coords of each walker self.walkers[0] are x coords. self.walkers... | Implement the Python class `random_walk` described below.
Class description:
class for random walk simulation parameters: self.n_iter - number of executed iterations self.n_steps: - number of steps to be performed self.walkers: - ndarray that holds x & y coords of each walker self.walkers[0] are x coords. self.walkers... | 516b74c57a1c7db7fb5097e833582744c92adf62 | <|skeleton|>
class random_walk:
"""class for random walk simulation parameters: self.n_iter - number of executed iterations self.n_steps: - number of steps to be performed self.walkers: - ndarray that holds x & y coords of each walker self.walkers[0] are x coords. self.walkers[1] are y coords."""
def __init__(... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class random_walk:
"""class for random walk simulation parameters: self.n_iter - number of executed iterations self.n_steps: - number of steps to be performed self.walkers: - ndarray that holds x & y coords of each walker self.walkers[0] are x coords. self.walkers[1] are y coords."""
def __init__(self, n_walke... | the_stack_v2_python_sparse | PythonProgramming/Homework 08/wood_10.3.py | Computational-Physics-Research/Computational-Physics-1 | train | 0 |
0fb98998ddaeef5c4bbfdb856d3133c142f8a643 | [
"pk = kwargs.get('pk')\nqapp = Qapp.objects.filter(id=pk).first()\nif check_can_edit(qapp, request.user):\n qapp_approval = QappApproval.objects.filter(qapp_id=pk).first()\n return render(request, self.template_name, {'object': qapp_approval, 'qapp_id': pk, 'form': QappApprovalForm(instance=qapp_approval)})\n... | <|body_start_0|>
pk = kwargs.get('pk')
qapp = Qapp.objects.filter(id=pk).first()
if check_can_edit(qapp, request.user):
qapp_approval = QappApproval.objects.filter(qapp_id=pk).first()
return render(request, self.template_name, {'object': qapp_approval, 'qapp_id': pk, 'for... | View for editing the details of an existing Qapp Approval page. | ProjectApprovalEdit | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProjectApprovalEdit:
"""View for editing the details of an existing Qapp Approval page."""
def get(self, request, *args, **kwargs):
"""GET Project Approval Edit page. Override default get request so we can verify the user has edit privileges, either through super status or team membe... | stack_v2_sparse_classes_75kplus_train_007339 | 36,787 | no_license | [
{
"docstring": "GET Project Approval Edit page. Override default get request so we can verify the user has edit privileges, either through super status or team membership.",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Save the changes to the form.",
... | 2 | stack_v2_sparse_classes_30k_train_023312 | Implement the Python class `ProjectApprovalEdit` described below.
Class description:
View for editing the details of an existing Qapp Approval page.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): GET Project Approval Edit page. Override default get request so we can verify the user has e... | Implement the Python class `ProjectApprovalEdit` described below.
Class description:
View for editing the details of an existing Qapp Approval page.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): GET Project Approval Edit page. Override default get request so we can verify the user has e... | ee419afa3c9f4b9ef3b30b62b693cfac956ce5b4 | <|skeleton|>
class ProjectApprovalEdit:
"""View for editing the details of an existing Qapp Approval page."""
def get(self, request, *args, **kwargs):
"""GET Project Approval Edit page. Override default get request so we can verify the user has edit privileges, either through super status or team membe... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProjectApprovalEdit:
"""View for editing the details of an existing Qapp Approval page."""
def get(self, request, *args, **kwargs):
"""GET Project Approval Edit page. Override default get request so we can verify the user has edit privileges, either through super status or team membership."""
... | the_stack_v2_python_sparse | DataSearch/qar5/views.py | USEPA/FoodWaste | train | 1 |
86b4470755b7ba8058d49ba3ff0495c8637b8ac7 | [
"print(self.proxy_database_info)\nmongo_client = pymongo.MongoClient(self.proxy_database_info['host'], self.proxy_database_info['port'])\ndatabase = mongo_client[self.proxy_database_info['database']]\nusername = self.proxy_database_info['username']\npassword = self.proxy_database_info['password']\nif username and p... | <|body_start_0|>
print(self.proxy_database_info)
mongo_client = pymongo.MongoClient(self.proxy_database_info['host'], self.proxy_database_info['port'])
database = mongo_client[self.proxy_database_info['database']]
username = self.proxy_database_info['username']
password = self.pr... | BaseProxyPool子类 主要实现代理池初始化 init_proxy_pool 代理状态更新方法 update_proxy_state | VivoProxyPool | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VivoProxyPool:
"""BaseProxyPool子类 主要实现代理池初始化 init_proxy_pool 代理状态更新方法 update_proxy_state"""
def init_mongo_connection(self):
"""根据 self.proxy_database_info 初始化mongodb连接 :param self: 代理池类的实例 :return: mongo_client: mongo连接客户,将其返回的目的旨在希望使用者能够及时关闭连接 用完即关,再用再申请即可,避免资源浪费 database: 操作数据集的句柄... | stack_v2_sparse_classes_75kplus_train_007340 | 5,219 | no_license | [
{
"docstring": "根据 self.proxy_database_info 初始化mongodb连接 :param self: 代理池类的实例 :return: mongo_client: mongo连接客户,将其返回的目的旨在希望使用者能够及时关闭连接 用完即关,再用再申请即可,避免资源浪费 database: 操作数据集的句柄",
"name": "init_mongo_connection",
"signature": "def init_mongo_connection(self)"
},
{
"docstring": "父类的抽象方法,针对mongodb数据库操作... | 3 | null | Implement the Python class `VivoProxyPool` described below.
Class description:
BaseProxyPool子类 主要实现代理池初始化 init_proxy_pool 代理状态更新方法 update_proxy_state
Method signatures and docstrings:
- def init_mongo_connection(self): 根据 self.proxy_database_info 初始化mongodb连接 :param self: 代理池类的实例 :return: mongo_client: mongo连接客户,将其返回... | Implement the Python class `VivoProxyPool` described below.
Class description:
BaseProxyPool子类 主要实现代理池初始化 init_proxy_pool 代理状态更新方法 update_proxy_state
Method signatures and docstrings:
- def init_mongo_connection(self): 根据 self.proxy_database_info 初始化mongodb连接 :param self: 代理池类的实例 :return: mongo_client: mongo连接客户,将其返回... | 1b42878b694fabc65a02228662ffdf819e5dcc71 | <|skeleton|>
class VivoProxyPool:
"""BaseProxyPool子类 主要实现代理池初始化 init_proxy_pool 代理状态更新方法 update_proxy_state"""
def init_mongo_connection(self):
"""根据 self.proxy_database_info 初始化mongodb连接 :param self: 代理池类的实例 :return: mongo_client: mongo连接客户,将其返回的目的旨在希望使用者能够及时关闭连接 用完即关,再用再申请即可,避免资源浪费 database: 操作数据集的句柄... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VivoProxyPool:
"""BaseProxyPool子类 主要实现代理池初始化 init_proxy_pool 代理状态更新方法 update_proxy_state"""
def init_mongo_connection(self):
"""根据 self.proxy_database_info 初始化mongodb连接 :param self: 代理池类的实例 :return: mongo_client: mongo连接客户,将其返回的目的旨在希望使用者能够及时关闭连接 用完即关,再用再申请即可,避免资源浪费 database: 操作数据集的句柄"""
p... | the_stack_v2_python_sparse | vivo_public_modules/download_middleware/vivo_proxy_pool.py | wangsanshi123/spiders | train | 0 |
457e43be3cf777024a1c15063d29943fc449ae23 | [
"self.transport = transport\nself.address = transport.get_extra_info('peername')\nself.data = b''\nprint('accepted connection from {}'.format(self.address))",
"self.data += data\nif self.data.endswith(b'?'):\n answer = zen_utils.get_answer(self.data)\n self.transport.write(answer)\n self.data = b''",
"... | <|body_start_0|>
self.transport = transport
self.address = transport.get_extra_info('peername')
self.data = b''
print('accepted connection from {}'.format(self.address))
<|end_body_0|>
<|body_start_1|>
self.data += data
if self.data.endswith(b'?'):
answer = z... | ZenServer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZenServer:
def connection_made(self, transport):
"""负责连接套接字建立后的准备工作"""
<|body_0|>
def data_received(self, data):
"""负责数据的接收、处理和发送，可以会被调用多次"""
<|body_1|>
def connection_lost(self, exc):
"""负责一次连接结束后的清理工作"""
<|body_2|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_75kplus_train_007341 | 1,953 | no_license | [
{
"docstring": "负责连接套接字建立后的准备工作",
"name": "connection_made",
"signature": "def connection_made(self, transport)"
},
{
"docstring": "负责数据的接收、处理和发送，可以会被调用多次",
"name": "data_received",
"signature": "def data_received(self, data)"
},
{
"docstring": "负责一次连接结束后的清理工作",
"name": "conn... | 3 | stack_v2_sparse_classes_30k_train_036236 | Implement the Python class `ZenServer` described below.
Class description:
Implement the ZenServer class.
Method signatures and docstrings:
- def connection_made(self, transport): 负责连接套接字建立后的准备工作
- def data_received(self, data): 负责数据的接收、处理和发送，可以会被调用多次
- def connection_lost(self, exc): 负责一次连接结束后的清理工作 | Implement the Python class `ZenServer` described below.
Class description:
Implement the ZenServer class.
Method signatures and docstrings:
- def connection_made(self, transport): 负责连接套接字建立后的准备工作
- def data_received(self, data): 负责数据的接收、处理和发送，可以会被调用多次
- def connection_lost(self, exc): 负责一次连接结束后的清理工作
<|skeleton|>
cla... | 9d766f06b0d4b30f640fe7f0d7deabea99ba5eeb | <|skeleton|>
class ZenServer:
def connection_made(self, transport):
"""负责连接套接字建立后的准备工作"""
<|body_0|>
def data_received(self, data):
"""负责数据的接收、处理和发送，可以会被调用多次"""
<|body_1|>
def connection_lost(self, exc):
"""负责一次连接结束后的清理工作"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ZenServer:
def connection_made(self, transport):
"""负责连接套接字建立后的准备工作"""
self.transport = transport
self.address = transport.get_extra_info('peername')
self.data = b''
print('accepted connection from {}'.format(self.address))
def data_received(self, data):
""... | the_stack_v2_python_sparse | pynetwork/第七章-服务器架构/srv_asyncio1.py | nick-fang/pynetwork | train | 1 | |
c6ede396fad99534e4d0a7f6161c53c2b2640c5d | [
"super(Actor, self).__init__()\nself.state_dim = state_dim\nself.action_dim = action_dim\nself.action_lim = action_lim\nself.hidden = 128\nself.usecuda = usecuda\nself.rnn = nn.LSTMCell(self.state_dim, self.hidden, bias=True)\nself.fc1 = nn.Linear(self.hidden, action_dim)\nself.fc1.weight.data.uniform_(-EPS, EPS)\n... | <|body_start_0|>
super(Actor, self).__init__()
self.state_dim = state_dim
self.action_dim = action_dim
self.action_lim = action_lim
self.hidden = 128
self.usecuda = usecuda
self.rnn = nn.LSTMCell(self.state_dim, self.hidden, bias=True)
self.fc1 = nn.Linear... | Actor | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Actor:
def __init__(self, state_dim, action_dim, action_lim, usecuda=False):
"""Special method for class initialisation. :param state_dim: Dimension of input state. :type state_dim: int. :param action_dim: Dimension of output action. :type action_dim: int. :param action_lim: Used to limi... | stack_v2_sparse_classes_75kplus_train_007342 | 3,704 | permissive | [
{
"docstring": "Special method for class initialisation. :param state_dim: Dimension of input state. :type state_dim: int. :param action_dim: Dimension of output action. :type action_dim: int. :param action_lim: Used to limit action. :type action_lim: float. :return:",
"name": "__init__",
"signature": "... | 3 | stack_v2_sparse_classes_30k_train_045859 | Implement the Python class `Actor` described below.
Class description:
Implement the Actor class.
Method signatures and docstrings:
- def __init__(self, state_dim, action_dim, action_lim, usecuda=False): Special method for class initialisation. :param state_dim: Dimension of input state. :type state_dim: int. :param ... | Implement the Python class `Actor` described below.
Class description:
Implement the Actor class.
Method signatures and docstrings:
- def __init__(self, state_dim, action_dim, action_lim, usecuda=False): Special method for class initialisation. :param state_dim: Dimension of input state. :type state_dim: int. :param ... | a02bdb1754e9bae1c2448e4bccec795c739b3e6f | <|skeleton|>
class Actor:
def __init__(self, state_dim, action_dim, action_lim, usecuda=False):
"""Special method for class initialisation. :param state_dim: Dimension of input state. :type state_dim: int. :param action_dim: Dimension of output action. :type action_dim: int. :param action_lim: Used to limi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Actor:
def __init__(self, state_dim, action_dim, action_lim, usecuda=False):
"""Special method for class initialisation. :param state_dim: Dimension of input state. :type state_dim: int. :param action_dim: Dimension of output action. :type action_dim: int. :param action_lim: Used to limit action. :typ... | the_stack_v2_python_sparse | notebook/njord-ddpg/model.py | LUOFENGZHOU/njord | train | 0 | |
e19be8619a9c617306f543ffa7a78387dd891033 | [
"self.config_entry = config_entry\nself.current_config: dict = dict(config_entry.data)\nself.sensor_type: SensorType = self.current_config.get(CONF_SENSOR_TYPE) or SensorType.VIRTUAL_POWER\nself.source_entity_id: str = self.current_config.get(CONF_ENTITY_ID)\nself.source_entity: SourceEntity | None = None\nself.pow... | <|body_start_0|>
self.config_entry = config_entry
self.current_config: dict = dict(config_entry.data)
self.sensor_type: SensorType = self.current_config.get(CONF_SENSOR_TYPE) or SensorType.VIRTUAL_POWER
self.source_entity_id: str = self.current_config.get(CONF_ENTITY_ID)
self.sou... | Handle an option flow for PowerCalc. | OptionsFlowHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OptionsFlowHandler:
"""Handle an option flow for PowerCalc."""
def __init__(self, config_entry: ConfigEntry) -> None:
"""Initialize options flow."""
<|body_0|>
async def async_step_init(self, user_input: dict[str, Any] | None=None) -> FlowResult:
"""Handle option... | stack_v2_sparse_classes_75kplus_train_007343 | 38,362 | permissive | [
{
"docstring": "Initialize options flow.",
"name": "__init__",
"signature": "def __init__(self, config_entry: ConfigEntry) -> None"
},
{
"docstring": "Handle options flow.",
"name": "async_step_init",
"signature": "async def async_step_init(self, user_input: dict[str, Any] | None=None) -... | 5 | stack_v2_sparse_classes_30k_train_008577 | Implement the Python class `OptionsFlowHandler` described below.
Class description:
Handle an option flow for PowerCalc.
Method signatures and docstrings:
- def __init__(self, config_entry: ConfigEntry) -> None: Initialize options flow.
- async def async_step_init(self, user_input: dict[str, Any] | None=None) -> Flow... | Implement the Python class `OptionsFlowHandler` described below.
Class description:
Handle an option flow for PowerCalc.
Method signatures and docstrings:
- def __init__(self, config_entry: ConfigEntry) -> None: Initialize options flow.
- async def async_step_init(self, user_input: dict[str, Any] | None=None) -> Flow... | b22a7c3b5837b40a71d6eeecf7147503b96b9bf9 | <|skeleton|>
class OptionsFlowHandler:
"""Handle an option flow for PowerCalc."""
def __init__(self, config_entry: ConfigEntry) -> None:
"""Initialize options flow."""
<|body_0|>
async def async_step_init(self, user_input: dict[str, Any] | None=None) -> FlowResult:
"""Handle option... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OptionsFlowHandler:
"""Handle an option flow for PowerCalc."""
def __init__(self, config_entry: ConfigEntry) -> None:
"""Initialize options flow."""
self.config_entry = config_entry
self.current_config: dict = dict(config_entry.data)
self.sensor_type: SensorType = self.cur... | the_stack_v2_python_sparse | custom_components/powercalc/config_flow.py | klaasnicolaas/Student-homeassistant-config | train | 185 |
987b66eeb02ba22c8ca1ab98fa550ec54c094e93 | [
"dic = {}\nfor i in nums:\n if i not in dic:\n dic[i] = 1\n else:\n dic[i] += 1\nvs = list(dic.values())\nreturn list(dic.keys())[vs.index(max(vs))]",
"dict1 = {}\nfor i in nums:\n if i not in dict1:\n dict1[i] = 1\n else:\n dict1[i] += 1\nreturn max(dict1, key=dict1.get)"
... | <|body_start_0|>
dic = {}
for i in nums:
if i not in dic:
dic[i] = 1
else:
dic[i] += 1
vs = list(dic.values())
return list(dic.keys())[vs.index(max(vs))]
<|end_body_0|>
<|body_start_1|>
dict1 = {}
for i in nums:
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def majorityElement(self, nums):
""":type nums: List[int] :rtype: int 查找众数 hash反存值和出现的次数"""
<|body_0|>
def majorityElementFast(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
dic = {}
... | stack_v2_sparse_classes_75kplus_train_007344 | 939 | permissive | [
{
"docstring": ":type nums: List[int] :rtype: int 查找众数 hash反存值和出现的次数",
"name": "majorityElement",
"signature": "def majorityElement(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "majorityElementFast",
"signature": "def majorityElementFast(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_043726 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def majorityElement(self, nums): :type nums: List[int] :rtype: int 查找众数 hash反存值和出现的次数
- def majorityElementFast(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def majorityElement(self, nums): :type nums: List[int] :rtype: int 查找众数 hash反存值和出现的次数
- def majorityElementFast(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class... | 9f49766a2b375a6c65f7bfa96df513875ddd772d | <|skeleton|>
class Solution:
def majorityElement(self, nums):
""":type nums: List[int] :rtype: int 查找众数 hash反存值和出现的次数"""
<|body_0|>
def majorityElementFast(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def majorityElement(self, nums):
""":type nums: List[int] :rtype: int 查找众数 hash反存值和出现的次数"""
dic = {}
for i in nums:
if i not in dic:
dic[i] = 1
else:
dic[i] += 1
vs = list(dic.values())
return list(dic.ke... | the_stack_v2_python_sparse | LeetcodeView/169.majorityElement.md | Song2017/Leetcode_python | train | 1 | |
cacdcae2357f9e4d21b8de430ec032fcf746b735 | [
"nxg_e = nx.DiGraph()\nnxg_e.add_nodes_from(g1)\nnxg_e.add_nodes_from(g2)\nnxg_1 = nx.DiGraph()\nnxg_1.add_nodes_from(nxg_e)\nnxg_1.add_edges_from(g1.edges())\nnxg_2 = nx.DiGraph()\nnxg_2.add_nodes_from(nxg_e)\nnxg_2.add_edges_from(g2.edges())\nadj_1 = nx.adjacency_matrix(nxg_1)\nadj_2 = nx.adjacency_matrix(nxg_2)\... | <|body_start_0|>
nxg_e = nx.DiGraph()
nxg_e.add_nodes_from(g1)
nxg_e.add_nodes_from(g2)
nxg_1 = nx.DiGraph()
nxg_1.add_nodes_from(nxg_e)
nxg_1.add_edges_from(g1.edges())
nxg_2 = nx.DiGraph()
nxg_2.add_nodes_from(nxg_e)
nxg_2.add_edges_from(g2.edges... | DeltaCon similarity Refer the paper DELTACON: A Principled Massive-Graph Similarity Function https://arxiv.org/abs/1304.4657 | DLcon_Similarity | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DLcon_Similarity:
"""DeltaCon similarity Refer the paper DELTACON: A Principled Massive-Graph Similarity Function https://arxiv.org/abs/1304.4657"""
def __init__(self, g1, g2):
""":param g1: NetworkX graph 1 :param g2: NetworkX graph 2"""
<|body_0|>
def InverseMatrix(sel... | stack_v2_sparse_classes_75kplus_train_007345 | 2,476 | permissive | [
{
"docstring": ":param g1: NetworkX graph 1 :param g2: NetworkX graph 2",
"name": "__init__",
"signature": "def __init__(self, g1, g2)"
},
{
"docstring": "Calculate the inverse matrix of the adjacency matrix. :param A: Adjacency matrix :return: inverted matrix",
"name": "InverseMatrix",
... | 3 | stack_v2_sparse_classes_30k_train_038468 | Implement the Python class `DLcon_Similarity` described below.
Class description:
DeltaCon similarity Refer the paper DELTACON: A Principled Massive-Graph Similarity Function https://arxiv.org/abs/1304.4657
Method signatures and docstrings:
- def __init__(self, g1, g2): :param g1: NetworkX graph 1 :param g2: NetworkX... | Implement the Python class `DLcon_Similarity` described below.
Class description:
DeltaCon similarity Refer the paper DELTACON: A Principled Massive-Graph Similarity Function https://arxiv.org/abs/1304.4657
Method signatures and docstrings:
- def __init__(self, g1, g2): :param g1: NetworkX graph 1 :param g2: NetworkX... | 6bbdabe4b71be369e616e3136d7f0120531c9fc8 | <|skeleton|>
class DLcon_Similarity:
"""DeltaCon similarity Refer the paper DELTACON: A Principled Massive-Graph Similarity Function https://arxiv.org/abs/1304.4657"""
def __init__(self, g1, g2):
""":param g1: NetworkX graph 1 :param g2: NetworkX graph 2"""
<|body_0|>
def InverseMatrix(sel... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DLcon_Similarity:
"""DeltaCon similarity Refer the paper DELTACON: A Principled Massive-Graph Similarity Function https://arxiv.org/abs/1304.4657"""
def __init__(self, g1, g2):
""":param g1: NetworkX graph 1 :param g2: NetworkX graph 2"""
nxg_e = nx.DiGraph()
nxg_e.add_nodes_from(... | the_stack_v2_python_sparse | callflow/algorithms/deltacon_similarity.py | LLNL/CallFlow | train | 32 |
c4fee94b0ab112d92d527c48acae81e1d6c6103a | [
"settings = ConfigSetup()\nself.frag_url = settings.get('fragalysis', 'url')\nself.pdb_url = settings.get('pdb', 'search')\nself.bound_pdb_url = settings.get('bound_pdb', 'search')\nself.bound_query = settings.get('bound_pdb', 'query')\nself.query = settings.get('pdb', 'query')",
"url = str(self.frag_url + self.p... | <|body_start_0|>
settings = ConfigSetup()
self.frag_url = settings.get('fragalysis', 'url')
self.pdb_url = settings.get('pdb', 'search')
self.bound_pdb_url = settings.get('bound_pdb', 'search')
self.bound_query = settings.get('bound_pdb', 'query')
self.query = settings.ge... | Getting protine data from the fragalysis website in the pdb file format | GetPdbData | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GetPdbData:
"""Getting protine data from the fragalysis website in the pdb file format"""
def __init__(self):
""":param self.frag_url: URL of the fragalysis website :param self.pdb_url: URL to search the fragalysis data base for the protein :param self.query: URL to tell the restfull... | stack_v2_sparse_classes_75kplus_train_007346 | 10,546 | permissive | [
{
"docstring": ":param self.frag_url: URL of the fragalysis website :param self.pdb_url: URL to search the fragalysis data base for the protein :param self.query: URL to tell the restfull API how to do the query",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Function ... | 3 | stack_v2_sparse_classes_30k_val_000280 | Implement the Python class `GetPdbData` described below.
Class description:
Getting protine data from the fragalysis website in the pdb file format
Method signatures and docstrings:
- def __init__(self): :param self.frag_url: URL of the fragalysis website :param self.pdb_url: URL to search the fragalysis data base fo... | Implement the Python class `GetPdbData` described below.
Class description:
Getting protine data from the fragalysis website in the pdb file format
Method signatures and docstrings:
- def __init__(self): :param self.frag_url: URL of the fragalysis website :param self.pdb_url: URL to search the fragalysis data base fo... | b09a4b978c2e2bdfdc2d9d0b4c85178b24e949c7 | <|skeleton|>
class GetPdbData:
"""Getting protine data from the fragalysis website in the pdb file format"""
def __init__(self):
""":param self.frag_url: URL of the fragalysis website :param self.pdb_url: URL to search the fragalysis data base for the protein :param self.query: URL to tell the restfull... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GetPdbData:
"""Getting protine data from the fragalysis website in the pdb file format"""
def __init__(self):
""":param self.frag_url: URL of the fragalysis website :param self.pdb_url: URL to search the fragalysis data base for the protein :param self.query: URL to tell the restfull API how to d... | the_stack_v2_python_sparse | fragalysis_api/xcextracter/getdata.py | xchem/fragalysis-api | train | 11 |
811faaebee9a02c7133c7ac2419d168fb41553be | [
"super(AddUserHandler, self).prepare()\nself.json_data = None\ntry:\n self.json_data = tornado.escape.json_decode(self.request.body)\nexcept ValueError:\n pass",
"sm = self.game_manager\nusernm = self.get_body_argument('username')\npasswd = self.get_body_argument('password')\nrval = True\nif not usernm is N... | <|body_start_0|>
super(AddUserHandler, self).prepare()
self.json_data = None
try:
self.json_data = tornado.escape.json_decode(self.request.body)
except ValueError:
pass
<|end_body_0|>
<|body_start_1|>
sm = self.game_manager
usernm = self.get_body_... | Handler for adding a user to the DB | AddUserHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AddUserHandler:
"""Handler for adding a user to the DB"""
def prepare(self):
"""Prepares json response"""
<|body_0|>
def post(self):
"""on Post request behavior"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(AddUserHandler, self).prepare(... | stack_v2_sparse_classes_75kplus_train_007347 | 6,266 | no_license | [
{
"docstring": "Prepares json response",
"name": "prepare",
"signature": "def prepare(self)"
},
{
"docstring": "on Post request behavior",
"name": "post",
"signature": "def post(self)"
}
] | 2 | null | Implement the Python class `AddUserHandler` described below.
Class description:
Handler for adding a user to the DB
Method signatures and docstrings:
- def prepare(self): Prepares json response
- def post(self): on Post request behavior | Implement the Python class `AddUserHandler` described below.
Class description:
Handler for adding a user to the DB
Method signatures and docstrings:
- def prepare(self): Prepares json response
- def post(self): on Post request behavior
<|skeleton|>
class AddUserHandler:
"""Handler for adding a user to the DB"""... | 445a6caf00d8af4eb0444d39496753cd97e95cca | <|skeleton|>
class AddUserHandler:
"""Handler for adding a user to the DB"""
def prepare(self):
"""Prepares json response"""
<|body_0|>
def post(self):
"""on Post request behavior"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AddUserHandler:
"""Handler for adding a user to the DB"""
def prepare(self):
"""Prepares json response"""
super(AddUserHandler, self).prepare()
self.json_data = None
try:
self.json_data = tornado.escape.json_decode(self.request.body)
except ValueError:
... | the_stack_v2_python_sparse | dev/back-end/RequestHandlers.py | IdanHershcovich/checkers | train | 0 |
f9c5bcea20a8d0bdd41c3c6b3dbd4eb347316576 | [
"super().__init__()\nself.num_classes = classes_n\nself.linear = LinearPolicy(inp_n, hidden_size, hidden_size, num_layers - 1, activation_fn)\nlast_in_n = inp_n\nif num_layers > 1:\n self.linear = nn.Sequential(self.linear, activation_fn())\n last_in_n = hidden_size\nself.value = nn.Linear(last_in_n, out_n * ... | <|body_start_0|>
super().__init__()
self.num_classes = classes_n
self.linear = LinearPolicy(inp_n, hidden_size, hidden_size, num_layers - 1, activation_fn)
last_in_n = inp_n
if num_layers > 1:
self.linear = nn.Sequential(self.linear, activation_fn())
last_... | A simple multi-categorical policy. | MultiCategoricalPolicy | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiCategoricalPolicy:
"""A simple multi-categorical policy."""
def __init__(self, inp_n: int, out_n: int, classes_n: int, hidden_size: int, num_layers: int, activation_fn: nn.Module):
"""Creates the gaussian policy. Args: inp_n: The number of input units to the network. out_n: The ... | stack_v2_sparse_classes_75kplus_train_007348 | 6,947 | permissive | [
{
"docstring": "Creates the gaussian policy. Args: inp_n: The number of input units to the network. out_n: The number of independent categorical distributions. classes_n: The number of classes per category. hidden_size: The number of units in each hidden layer. num_layers: The number of layers before the gaussi... | 2 | stack_v2_sparse_classes_30k_train_004204 | Implement the Python class `MultiCategoricalPolicy` described below.
Class description:
A simple multi-categorical policy.
Method signatures and docstrings:
- def __init__(self, inp_n: int, out_n: int, classes_n: int, hidden_size: int, num_layers: int, activation_fn: nn.Module): Creates the gaussian policy. Args: inp... | Implement the Python class `MultiCategoricalPolicy` described below.
Class description:
A simple multi-categorical policy.
Method signatures and docstrings:
- def __init__(self, inp_n: int, out_n: int, classes_n: int, hidden_size: int, num_layers: int, activation_fn: nn.Module): Creates the gaussian policy. Args: inp... | cde3be1c69bfd76fe4a78fa529e851d0a78318c7 | <|skeleton|>
class MultiCategoricalPolicy:
"""A simple multi-categorical policy."""
def __init__(self, inp_n: int, out_n: int, classes_n: int, hidden_size: int, num_layers: int, activation_fn: nn.Module):
"""Creates the gaussian policy. Args: inp_n: The number of input units to the network. out_n: The ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MultiCategoricalPolicy:
"""A simple multi-categorical policy."""
def __init__(self, inp_n: int, out_n: int, classes_n: int, hidden_size: int, num_layers: int, activation_fn: nn.Module):
"""Creates the gaussian policy. Args: inp_n: The number of input units to the network. out_n: The number of ind... | the_stack_v2_python_sparse | hlrl/torch/policies/distribution.py | Chainso/HLRL | train | 3 |
f187006e01fc57789e714d7778b7868779b7bbe4 | [
"try:\n updated_count = self.update_order_count()\nexcept Exception:\n return HttpResponseBadRequest()\nelse:\n return JsonResponse({'count': updated_count})",
"product_id = self.request.POST['product_id']\ncount = int(self.request.POST['updated_order_count'])\nproduct = get_object_or_404(BaseProduct, id... | <|body_start_0|>
try:
updated_count = self.update_order_count()
except Exception:
return HttpResponseBadRequest()
else:
return JsonResponse({'count': updated_count})
<|end_body_0|>
<|body_start_1|>
product_id = self.request.POST['product_id']
... | View for setting re-order counts. | UpdateOrderCount | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateOrderCount:
"""View for setting re-order counts."""
def post(self, *args, **kwargs):
"""Update re-order counts."""
<|body_0|>
def update_order_count(self):
"""Update re-order count."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
... | stack_v2_sparse_classes_75kplus_train_007349 | 6,889 | no_license | [
{
"docstring": "Update re-order counts.",
"name": "post",
"signature": "def post(self, *args, **kwargs)"
},
{
"docstring": "Update re-order count.",
"name": "update_order_count",
"signature": "def update_order_count(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013300 | Implement the Python class `UpdateOrderCount` described below.
Class description:
View for setting re-order counts.
Method signatures and docstrings:
- def post(self, *args, **kwargs): Update re-order counts.
- def update_order_count(self): Update re-order count. | Implement the Python class `UpdateOrderCount` described below.
Class description:
View for setting re-order counts.
Method signatures and docstrings:
- def post(self, *args, **kwargs): Update re-order counts.
- def update_order_count(self): Update re-order count.
<|skeleton|>
class UpdateOrderCount:
"""View for ... | ba51d4e304b1aeb296fa2fe16611c892fcdbd471 | <|skeleton|>
class UpdateOrderCount:
"""View for setting re-order counts."""
def post(self, *args, **kwargs):
"""Update re-order counts."""
<|body_0|>
def update_order_count(self):
"""Update re-order count."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UpdateOrderCount:
"""View for setting re-order counts."""
def post(self, *args, **kwargs):
"""Update re-order counts."""
try:
updated_count = self.update_order_count()
except Exception:
return HttpResponseBadRequest()
else:
return JsonRe... | the_stack_v2_python_sparse | restock/views.py | stcstores/stcadmin | train | 0 |
eb948763ff35d7c414bcd0ef9ad3f82c8bba3ae9 | [
"super(ModularAttributeVQA, self).__init__()\nself.cube_fc_layer = nn.Sequential(nn.Linear(cube_feat_dim, fc_dim), nn.ReLU())\nself.dist_fc_layer = nn.Sequential(nn.Linear(ego_feat_dim + rnn_feat_dim, fc_dim), nn.ReLU())\nself.attr_to_in = {'object_color_equal': 2 * rnn_feat_dim, 'object_size_bigger': 2 * rnn_feat_... | <|body_start_0|>
super(ModularAttributeVQA, self).__init__()
self.cube_fc_layer = nn.Sequential(nn.Linear(cube_feat_dim, fc_dim), nn.ReLU())
self.dist_fc_layer = nn.Sequential(nn.Linear(ego_feat_dim + rnn_feat_dim, fc_dim), nn.ReLU())
self.attr_to_in = {'object_color_equal': 2 * rnn_feat... | ModularAttributeVQA | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModularAttributeVQA:
def __init__(self, ego_feat_dim, rnn_feat_dim, cube_feat_dim, fc_dim, fc_dropout, num_answers=2):
"""- ego_feat_dim : ego-centric feat dimension, i.e., (2, ego_feat_dim) or (3, ego_feat_dim) - rnn_feat_dim : rnn output feat dimension - cube_feat_dim : cube feat dimen... | stack_v2_sparse_classes_75kplus_train_007350 | 2,956 | permissive | [
{
"docstring": "- ego_feat_dim : ego-centric feat dimension, i.e., (2, ego_feat_dim) or (3, ego_feat_dim) - rnn_feat_dim : rnn output feat dimension - cube_feat_dim : cube feat dimension, i.e., (2, 4, cube_feat_dim) - fc_dim : fc dimension - fc_dropout : fc dropout - num_answers : num. answrs (yes/no)",
"na... | 2 | null | Implement the Python class `ModularAttributeVQA` described below.
Class description:
Implement the ModularAttributeVQA class.
Method signatures and docstrings:
- def __init__(self, ego_feat_dim, rnn_feat_dim, cube_feat_dim, fc_dim, fc_dropout, num_answers=2): - ego_feat_dim : ego-centric feat dimension, i.e., (2, ego... | Implement the Python class `ModularAttributeVQA` described below.
Class description:
Implement the ModularAttributeVQA class.
Method signatures and docstrings:
- def __init__(self, ego_feat_dim, rnn_feat_dim, cube_feat_dim, fc_dim, fc_dropout, num_answers=2): - ego_feat_dim : ego-centric feat dimension, i.e., (2, ego... | 9a5483cc29ed6ee8d00590e28264743c6bcbe7ad | <|skeleton|>
class ModularAttributeVQA:
def __init__(self, ego_feat_dim, rnn_feat_dim, cube_feat_dim, fc_dim, fc_dropout, num_answers=2):
"""- ego_feat_dim : ego-centric feat dimension, i.e., (2, ego_feat_dim) or (3, ego_feat_dim) - rnn_feat_dim : rnn output feat dimension - cube_feat_dim : cube feat dimen... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ModularAttributeVQA:
def __init__(self, ego_feat_dim, rnn_feat_dim, cube_feat_dim, fc_dim, fc_dropout, num_answers=2):
"""- ego_feat_dim : ego-centric feat dimension, i.e., (2, ego_feat_dim) or (3, ego_feat_dim) - rnn_feat_dim : rnn output feat dimension - cube_feat_dim : cube feat dimension, i.e., (2... | the_stack_v2_python_sparse | nav_loc_vqa/nav_loc_vqa/models/vqa_model.py | johndpope/MT-EQA | train | 0 | |
b5ed249159fcad654587459c57bd9079036de852 | [
"if content_type == APPLICATION_JSON:\n try:\n return json.loads(data)\n except json.JSONDecodeError:\n raise HTTPException(status_code=400, detail=f'JSON deserialization failed for the request data: {data}.\\nTo specify a different type, please set the \"content-type\" header in the request.\\n... | <|body_start_0|>
if content_type == APPLICATION_JSON:
try:
return json.loads(data)
except json.JSONDecodeError:
raise HTTPException(status_code=400, detail=f'JSON deserialization failed for the request data: {data}.\nTo specify a different type, please set... | Default serializer for serialization and deserialization for prediction. | DefaultSerializer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DefaultSerializer:
"""Default serializer for serialization and deserialization for prediction."""
def deserialize(data: Any, content_type: Optional[str]) -> Any:
"""Deserializes the request data. Invoked before predict. Args: data (Any): Required. The request data sent to the applica... | stack_v2_sparse_classes_75kplus_train_007351 | 5,203 | permissive | [
{
"docstring": "Deserializes the request data. Invoked before predict. Args: data (Any): Required. The request data sent to the application. content_type (str): Optional. The specified content type of the request. Raises: HTTPException: If Json deserialization failed or the specified content type is not support... | 2 | stack_v2_sparse_classes_30k_val_000784 | Implement the Python class `DefaultSerializer` described below.
Class description:
Default serializer for serialization and deserialization for prediction.
Method signatures and docstrings:
- def deserialize(data: Any, content_type: Optional[str]) -> Any: Deserializes the request data. Invoked before predict. Args: d... | Implement the Python class `DefaultSerializer` described below.
Class description:
Default serializer for serialization and deserialization for prediction.
Method signatures and docstrings:
- def deserialize(data: Any, content_type: Optional[str]) -> Any: Deserializes the request data. Invoked before predict. Args: d... | 76b95b92c1d3b87c72d754d8c02b1bca652b9a27 | <|skeleton|>
class DefaultSerializer:
"""Default serializer for serialization and deserialization for prediction."""
def deserialize(data: Any, content_type: Optional[str]) -> Any:
"""Deserializes the request data. Invoked before predict. Args: data (Any): Required. The request data sent to the applica... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DefaultSerializer:
"""Default serializer for serialization and deserialization for prediction."""
def deserialize(data: Any, content_type: Optional[str]) -> Any:
"""Deserializes the request data. Invoked before predict. Args: data (Any): Required. The request data sent to the application. content... | the_stack_v2_python_sparse | google/cloud/aiplatform/prediction/serializer.py | googleapis/python-aiplatform | train | 418 |
ed1689733a913a5ef1e3715fc9e5f7f6f1848381 | [
"if 'ProcessorDate' in metadata_dict:\n replace_dic = {'$': '', '#': '', 'Date::': ''}\n processor_date_value = metadata_dict['ProcessorDate']\n for i, j in replace_dic.iteritems():\n processor_date_value = processor_date_value.replace(i, j)\n metadata_dict['ProcessorDate'] = processor_date_value... | <|body_start_0|>
if 'ProcessorDate' in metadata_dict:
replace_dic = {'$': '', '#': '', 'Date::': ''}
processor_date_value = metadata_dict['ProcessorDate']
for i, j in replace_dic.iteritems():
processor_date_value = processor_date_value.replace(i, j)
... | This class is designed to provide storage and handling capabilities for EGADS algorithm metadata. Stores instances of VariableMetadata objects to use to populate algorithm variable outputs. | AlgorithmMetadata | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlgorithmMetadata:
"""This class is designed to provide storage and handling capabilities for EGADS algorithm metadata. Stores instances of VariableMetadata objects to use to populate algorithm variable outputs."""
def __init__(self, metadata_dict, child_variable_metadata=None):
"""I... | stack_v2_sparse_classes_75kplus_train_007352 | 17,164 | permissive | [
{
"docstring": "Initialize AlgorithmMetadata instance with given metadata in dict form and any child variable metadata. :param dict metadata_dict: Dictionary object containing variable metadata names and values :param list child_varable_metadata: Optional - List containing VariableMetadata",
"name": "__init... | 2 | stack_v2_sparse_classes_30k_train_033272 | Implement the Python class `AlgorithmMetadata` described below.
Class description:
This class is designed to provide storage and handling capabilities for EGADS algorithm metadata. Stores instances of VariableMetadata objects to use to populate algorithm variable outputs.
Method signatures and docstrings:
- def __ini... | Implement the Python class `AlgorithmMetadata` described below.
Class description:
This class is designed to provide storage and handling capabilities for EGADS algorithm metadata. Stores instances of VariableMetadata objects to use to populate algorithm variable outputs.
Method signatures and docstrings:
- def __ini... | 05fce4d36f070587171506caa8b136508fa9405c | <|skeleton|>
class AlgorithmMetadata:
"""This class is designed to provide storage and handling capabilities for EGADS algorithm metadata. Stores instances of VariableMetadata objects to use to populate algorithm variable outputs."""
def __init__(self, metadata_dict, child_variable_metadata=None):
"""I... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AlgorithmMetadata:
"""This class is designed to provide storage and handling capabilities for EGADS algorithm metadata. Stores instances of VariableMetadata objects to use to populate algorithm variable outputs."""
def __init__(self, metadata_dict, child_variable_metadata=None):
"""Initialize Alg... | the_stack_v2_python_sparse | egads/egads/core/metadata.py | mfreer/eufar-egads | train | 0 |
73c8ebb8cb941e6e0b714d3051e0610c8a44bce9 | [
"self.template = template\nself.arguments = arguments\nself.attachment_ref = attachment",
"message = path_or_string(self.template)\nif self.arguments:\n template = Template(message)\n message = template.render(**self.arguments)\nreturn message",
"if self.attachment_ref is None:\n return None\nif isinst... | <|body_start_0|>
self.template = template
self.arguments = arguments
self.attachment_ref = attachment
<|end_body_0|>
<|body_start_1|>
message = path_or_string(self.template)
if self.arguments:
template = Template(message)
message = template.render(**self.... | SlackMessage | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SlackMessage:
def __init__(self, template, arguments: Dict=None, attachment: Optional[Union[Path, IO]]=None):
"""Create Slack message. Args: template: Jinja template. template_args (dict): Arguments to be passed to the Jinja templates . attachment (Path): Path to file (or image) to attac... | stack_v2_sparse_classes_75kplus_train_007353 | 11,381 | permissive | [
{
"docstring": "Create Slack message. Args: template: Jinja template. template_args (dict): Arguments to be passed to the Jinja templates . attachment (Path): Path to file (or image) to attach to the image.",
"name": "__init__",
"signature": "def __init__(self, template, arguments: Dict=None, attachment... | 3 | null | Implement the Python class `SlackMessage` described below.
Class description:
Implement the SlackMessage class.
Method signatures and docstrings:
- def __init__(self, template, arguments: Dict=None, attachment: Optional[Union[Path, IO]]=None): Create Slack message. Args: template: Jinja template. template_args (dict)... | Implement the Python class `SlackMessage` described below.
Class description:
Implement the SlackMessage class.
Method signatures and docstrings:
- def __init__(self, template, arguments: Dict=None, attachment: Optional[Union[Path, IO]]=None): Create Slack message. Args: template: Jinja template. template_args (dict)... | 1c7bdf3ccbde11f2fa7a3fe2731c067887112909 | <|skeleton|>
class SlackMessage:
def __init__(self, template, arguments: Dict=None, attachment: Optional[Union[Path, IO]]=None):
"""Create Slack message. Args: template: Jinja template. template_args (dict): Arguments to be passed to the Jinja templates . attachment (Path): Path to file (or image) to attac... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SlackMessage:
def __init__(self, template, arguments: Dict=None, attachment: Optional[Union[Path, IO]]=None):
"""Create Slack message. Args: template: Jinja template. template_args (dict): Arguments to be passed to the Jinja templates . attachment (Path): Path to file (or image) to attach to the image... | the_stack_v2_python_sparse | soam/reporting/slack_report.py | guido-mutt/soam | train | 0 | |
daf7ce02d1a3d3a275d7e2a771f708388619e0df | [
"self.log.info('login from QQ')\ncode = context.get('code')\nredirect_uri = context.get('redirect_uri')\nif not code or not redirect_uri:\n return None\naccess_token = self.get_token(code, redirect_uri)\ninfo = self.get_info(access_token)\nuser_info = self.get_user_info(access_token, info['openid'], info['client... | <|body_start_0|>
self.log.info('login from QQ')
code = context.get('code')
redirect_uri = context.get('redirect_uri')
if not code or not redirect_uri:
return None
access_token = self.get_token(code, redirect_uri)
info = self.get_info(access_token)
user... | Sign in with QQ :Example: from client.user.login import QQLogin QQLogin() .. notes:: | QQLogin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QQLogin:
"""Sign in with QQ :Example: from client.user.login import QQLogin QQLogin() .. notes::"""
def login(self, context):
"""QQ Login :type context: Context :param context: :rtype: dict :return: token and instance of user"""
<|body_0|>
def get_token(self, code, redir... | stack_v2_sparse_classes_75kplus_train_007354 | 17,886 | permissive | [
{
"docstring": "QQ Login :type context: Context :param context: :rtype: dict :return: token and instance of user",
"name": "login",
"signature": "def login(self, context)"
},
{
"docstring": "Get qq access token :type code: str :param code: authorization code :type redirect_uri: str :param redire... | 4 | stack_v2_sparse_classes_30k_train_035458 | Implement the Python class `QQLogin` described below.
Class description:
Sign in with QQ :Example: from client.user.login import QQLogin QQLogin() .. notes::
Method signatures and docstrings:
- def login(self, context): QQ Login :type context: Context :param context: :rtype: dict :return: token and instance of user
-... | Implement the Python class `QQLogin` described below.
Class description:
Sign in with QQ :Example: from client.user.login import QQLogin QQLogin() .. notes::
Method signatures and docstrings:
- def login(self, context): QQ Login :type context: Context :param context: :rtype: dict :return: token and instance of user
-... | 945c4fd2755f5b0dea11e54eb649eeb37ec93d01 | <|skeleton|>
class QQLogin:
"""Sign in with QQ :Example: from client.user.login import QQLogin QQLogin() .. notes::"""
def login(self, context):
"""QQ Login :type context: Context :param context: :rtype: dict :return: token and instance of user"""
<|body_0|>
def get_token(self, code, redir... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QQLogin:
"""Sign in with QQ :Example: from client.user.login import QQLogin QQLogin() .. notes::"""
def login(self, context):
"""QQ Login :type context: Context :param context: :rtype: dict :return: token and instance of user"""
self.log.info('login from QQ')
code = context.get('c... | the_stack_v2_python_sparse | open-hackathon-server/src/hackathon/user/oauth_login.py | kaiyuanshe/open-hackathon | train | 46 |
0ba1d62f727c9bd6de6e829835306a5c37c4caf5 | [
"vrs_session = session.VerseSession.instance()\nscene = context.scene\nscene_item = scene.verse_scenes[scene.cur_verse_scene_index]\ntry:\n verse_scene_data = vrs_session.nodes[scene_item.data_node_id]\nexcept KeyError:\n return {'CANCELLED'}\nelse:\n verse_scene_data.subscribe()\nreturn {'FINISHED'}",
"... | <|body_start_0|>
vrs_session = session.VerseSession.instance()
scene = context.scene
scene_item = scene.verse_scenes[scene.cur_verse_scene_index]
try:
verse_scene_data = vrs_session.nodes[scene_item.data_node_id]
except KeyError:
return {'CANCELLED'}
... | This operator subscribes to existing scene shared at Verse server. It will create new Blender scene in current .blend file. | VERSE_SCENE_OT_subscribe | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VERSE_SCENE_OT_subscribe:
"""This operator subscribes to existing scene shared at Verse server. It will create new Blender scene in current .blend file."""
def invoke(self, context, event):
"""Operator for subscribing to Verse scene node"""
<|body_0|>
def poll(cls, conte... | stack_v2_sparse_classes_75kplus_train_007355 | 9,072 | no_license | [
{
"docstring": "Operator for subscribing to Verse scene node",
"name": "invoke",
"signature": "def invoke(self, context, event)"
},
{
"docstring": "This class method is used, when Blender check, if this operator can be executed",
"name": "poll",
"signature": "def poll(cls, context)"
}
... | 2 | stack_v2_sparse_classes_30k_val_000619 | Implement the Python class `VERSE_SCENE_OT_subscribe` described below.
Class description:
This operator subscribes to existing scene shared at Verse server. It will create new Blender scene in current .blend file.
Method signatures and docstrings:
- def invoke(self, context, event): Operator for subscribing to Verse ... | Implement the Python class `VERSE_SCENE_OT_subscribe` described below.
Class description:
This operator subscribes to existing scene shared at Verse server. It will create new Blender scene in current .blend file.
Method signatures and docstrings:
- def invoke(self, context, event): Operator for subscribing to Verse ... | 7b796d30dfd22b7706a93e4419ed913d18d29a44 | <|skeleton|>
class VERSE_SCENE_OT_subscribe:
"""This operator subscribes to existing scene shared at Verse server. It will create new Blender scene in current .blend file."""
def invoke(self, context, event):
"""Operator for subscribing to Verse scene node"""
<|body_0|>
def poll(cls, conte... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VERSE_SCENE_OT_subscribe:
"""This operator subscribes to existing scene shared at Verse server. It will create new Blender scene in current .blend file."""
def invoke(self, context, event):
"""Operator for subscribing to Verse scene node"""
vrs_session = session.VerseSession.instance()
... | the_stack_v2_python_sparse | All_In_One/addons/io_verse/ui_scene.py | 2434325680/Learnbgame | train | 0 |
0dafeda683de230e8cef2291ea67da8c71b02268 | [
"driver = self.base_driver\ndriver.type('n,rename', '张珊珊')\ndriver.click('x,/html/body/div[6]/div[1]/div[2]/ul/form/dl[2]/dd/span')\ndriver.click_by_text('安徽')\ndriver.click_by_text('合肥')\ndriver.click_by_text('长丰县')\ndriver.type('n,addr', '长安街九乡6里8号')\ndriver.type('n,mobile', '13823218582')\ndriver.click('x,/html/... | <|body_start_0|>
driver = self.base_driver
driver.type('n,rename', '张珊珊')
driver.click('x,/html/body/div[6]/div[1]/div[2]/ul/form/dl[2]/dd/span')
driver.click_by_text('安徽')
driver.click_by_text('合肥')
driver.click_by_text('长丰县')
driver.type('n,addr', '长安街九乡6里8号')
... | 订单页 | OrderAdd | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OrderAdd:
"""订单页"""
def first_order_info(self):
"""添加地址信息"""
<|body_0|>
def del_order_info(self):
"""删除地址信息"""
<|body_1|>
def edit_order_info(self):
"""编辑地址信息"""
<|body_2|>
def get_assertion_information(self):
"""获取订单编号""... | stack_v2_sparse_classes_75kplus_train_007356 | 1,734 | no_license | [
{
"docstring": "添加地址信息",
"name": "first_order_info",
"signature": "def first_order_info(self)"
},
{
"docstring": "删除地址信息",
"name": "del_order_info",
"signature": "def del_order_info(self)"
},
{
"docstring": "编辑地址信息",
"name": "edit_order_info",
"signature": "def edit_order... | 4 | stack_v2_sparse_classes_30k_train_011134 | Implement the Python class `OrderAdd` described below.
Class description:
订单页
Method signatures and docstrings:
- def first_order_info(self): 添加地址信息
- def del_order_info(self): 删除地址信息
- def edit_order_info(self): 编辑地址信息
- def get_assertion_information(self): 获取订单编号 | Implement the Python class `OrderAdd` described below.
Class description:
订单页
Method signatures and docstrings:
- def first_order_info(self): 添加地址信息
- def del_order_info(self): 删除地址信息
- def edit_order_info(self): 编辑地址信息
- def get_assertion_information(self): 获取订单编号
<|skeleton|>
class OrderAdd:
"""订单页"""
def... | b75bf1bdbf4ee14f0485d552ff2f382c7991821e | <|skeleton|>
class OrderAdd:
"""订单页"""
def first_order_info(self):
"""添加地址信息"""
<|body_0|>
def del_order_info(self):
"""删除地址信息"""
<|body_1|>
def edit_order_info(self):
"""编辑地址信息"""
<|body_2|>
def get_assertion_information(self):
"""获取订单编号""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OrderAdd:
"""订单页"""
def first_order_info(self):
"""添加地址信息"""
driver = self.base_driver
driver.type('n,rename', '张珊珊')
driver.click('x,/html/body/div[6]/div[1]/div[2]/ul/form/dl[2]/dd/span')
driver.click_by_text('安徽')
driver.click_by_text('合肥')
drive... | the_stack_v2_python_sparse | nengkaiShop/page/after_login_page/order_add_page/order_add.py | caixinshu/api | train | 0 |
e544cfaac64aa935b2c59f4b43b38a586ca19249 | [
"self.fop = file_operator.FileOperator('./')\nconvert_file_path, data_file_path = self.fop._getWorkFilesPath()\nself.topic_manager = topic_manager.TopicManager(convert_file_path, data_file_path)\nself.setting_reader = relay_setting_reader.RelaySettingReader(self.topic_manager)\nself.app_creator = relay_app_creator.... | <|body_start_0|>
self.fop = file_operator.FileOperator('./')
convert_file_path, data_file_path = self.fop._getWorkFilesPath()
self.topic_manager = topic_manager.TopicManager(convert_file_path, data_file_path)
self.setting_reader = relay_setting_reader.RelaySettingReader(self.topic_manage... | Create of relay application. | RelayCreator | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RelayCreator:
"""Create of relay application."""
def __init__(self, logger, cfe_dir_path, ros_dir_path):
"""Constructor. Args: logger (RelayLogger): RelayLogger object cfe_dir_path (str): Path to the cfe_relay_app directory ros_dir_path (str): Path to the ros_relay_node directory"""
... | stack_v2_sparse_classes_75kplus_train_007357 | 5,560 | permissive | [
{
"docstring": "Constructor. Args: logger (RelayLogger): RelayLogger object cfe_dir_path (str): Path to the cfe_relay_app directory ros_dir_path (str): Path to the ros_relay_node directory",
"name": "__init__",
"signature": "def __init__(self, logger, cfe_dir_path, ros_dir_path)"
},
{
"docstring... | 5 | stack_v2_sparse_classes_30k_train_031144 | Implement the Python class `RelayCreator` described below.
Class description:
Create of relay application.
Method signatures and docstrings:
- def __init__(self, logger, cfe_dir_path, ros_dir_path): Constructor. Args: logger (RelayLogger): RelayLogger object cfe_dir_path (str): Path to the cfe_relay_app directory ros... | Implement the Python class `RelayCreator` described below.
Class description:
Create of relay application.
Method signatures and docstrings:
- def __init__(self, logger, cfe_dir_path, ros_dir_path): Constructor. Args: logger (RelayLogger): RelayLogger object cfe_dir_path (str): Path to the cfe_relay_app directory ros... | f16c5966c0ade342d6fea8c20fe4d705ee0d9630 | <|skeleton|>
class RelayCreator:
"""Create of relay application."""
def __init__(self, logger, cfe_dir_path, ros_dir_path):
"""Constructor. Args: logger (RelayLogger): RelayLogger object cfe_dir_path (str): Path to the cfe_relay_app directory ros_dir_path (str): Path to the ros_relay_node directory"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RelayCreator:
"""Create of relay application."""
def __init__(self, logger, cfe_dir_path, ros_dir_path):
"""Constructor. Args: logger (RelayLogger): RelayLogger object cfe_dir_path (str): Path to the cfe_relay_app directory ros_dir_path (str): Path to the ros_relay_node directory"""
self.... | the_stack_v2_python_sparse | cfs_converter/relay_creator.py | kbiesiadecki141/roscfe | train | 0 |
8c58fab38a813cf4e850f936148dd6b7949cdc78 | [
"if isinstance(array, drv.IPCMemoryHandle):\n self.handle = array.ipc_handle\nelse:\n self.handle = drv.mem_get_ipc_handle(array.ptr)\nself.shape = array.shape\nself.dtype = array.dtype\nself.size = array.size\nself.mem_size = array.mem_size",
"drv.IPCMemoryHandle(self.handle)\narray = gpuarray.GPUArray((0,... | <|body_start_0|>
if isinstance(array, drv.IPCMemoryHandle):
self.handle = array.ipc_handle
else:
self.handle = drv.mem_get_ipc_handle(array.ptr)
self.shape = array.shape
self.dtype = array.dtype
self.size = array.size
self.mem_size = array.mem_size... | Converter between GPUArray and its Inter-Process Communication handle. It holds IPC memory handle with shape and dtype information. The instance can be pickled, which means it can be passed through IPC path way, e.g. Pipe and Queue. The other process can extract shared GPUArray by calling :meth:`get`. Also, the extract... | IPCArrayHandle | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IPCArrayHandle:
"""Converter between GPUArray and its Inter-Process Communication handle. It holds IPC memory handle with shape and dtype information. The instance can be pickled, which means it can be passed through IPC path way, e.g. Pipe and Queue. The other process can extract shared GPUArray... | stack_v2_sparse_classes_75kplus_train_007358 | 28,045 | permissive | [
{
"docstring": "Creates an IPC memory handle of the device array. Args: array (~pycuda.gpuarray.GPUArray): GPU array to be shared accross processes.",
"name": "__init__",
"signature": "def __init__(self, array)"
},
{
"docstring": "Creates a GPUArray object from the IPC memory handle. Returns: ~p... | 2 | stack_v2_sparse_classes_30k_train_033490 | Implement the Python class `IPCArrayHandle` described below.
Class description:
Converter between GPUArray and its Inter-Process Communication handle. It holds IPC memory handle with shape and dtype information. The instance can be pickled, which means it can be passed through IPC path way, e.g. Pipe and Queue. The ot... | Implement the Python class `IPCArrayHandle` described below.
Class description:
Converter between GPUArray and its Inter-Process Communication handle. It holds IPC memory handle with shape and dtype information. The instance can be pickled, which means it can be passed through IPC path way, e.g. Pipe and Queue. The ot... | 81fe720a9b32ec9a2f47e50f34918ad35b17f0ab | <|skeleton|>
class IPCArrayHandle:
"""Converter between GPUArray and its Inter-Process Communication handle. It holds IPC memory handle with shape and dtype information. The instance can be pickled, which means it can be passed through IPC path way, e.g. Pipe and Queue. The other process can extract shared GPUArray... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IPCArrayHandle:
"""Converter between GPUArray and its Inter-Process Communication handle. It holds IPC memory handle with shape and dtype information. The instance can be pickled, which means it can be passed through IPC path way, e.g. Pipe and Queue. The other process can extract shared GPUArray by calling :... | the_stack_v2_python_sparse | chainer/cuda.py | jheymann85/chainer | train | 1 |
2e9fd050211c7e0d9ffa6160a971028a8cf8baa1 | [
"self.xd = kwargs['xd']\nself.skip_days = 0\nself.factor_name = '{}:{}'.format(self.__class__.__name__, self.xd)\nself.hit_ml = kwargs['hit_ml']",
"ump = self.ump_manger\ndeg_hit_cnt = ump.ump_main_deg.predict_hit_kwargs(**ml_feature_dict)\njump_hit_cnt = ump.ump_main_jump.predict_hit_kwargs(**ml_feature_dict)\nw... | <|body_start_0|>
self.xd = kwargs['xd']
self.skip_days = 0
self.factor_name = '{}:{}'.format(self.__class__.__name__, self.xd)
self.hit_ml = kwargs['hit_ml']
<|end_body_0|>
<|body_start_1|>
ump = self.ump_manger
deg_hit_cnt = ump.ump_main_deg.predict_hit_kwargs(**ml_feat... | 继续继承AbuFactorBuyBreak复写make_ump_block_decision， 区别是使用AbuFactorBuyBreakReocrdHitDemo的学习成果hit_ml 对几个裁判这次交易命中的分类簇个数组成矢量特征进行predict， 拦截预测结果为-1的交易 | AbuFactorBuyBreakHitPredictDemo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AbuFactorBuyBreakHitPredictDemo:
"""继续继承AbuFactorBuyBreak复写make_ump_block_decision， 区别是使用AbuFactorBuyBreakReocrdHitDemo的学习成果hit_ml 对几个裁判这次交易命中的分类簇个数组成矢量特征进行predict， 拦截预测结果为-1的交易"""
def _init_self(self, **kwargs):
"""与AbuFactorBuyBreak基本相同，唯一区别是关键子参数中添加了通过AbuFactorBuyBreakUmpDemo记录训练好... | stack_v2_sparse_classes_75kplus_train_007359 | 9,900 | no_license | [
{
"docstring": "与AbuFactorBuyBreak基本相同，唯一区别是关键子参数中添加了通过AbuFactorBuyBreakUmpDemo记录训练好的决策器 self.hit_ml = kwargs['hit_ml']",
"name": "_init_self",
"signature": "def _init_self(self, **kwargs)"
},
{
"docstring": "用回测的数据进行训练后再次反过来指导回测，结果是没有意义的， 这里的示例只是为了容易理解什么叫做：让裁判自己学习怎么配合， 自己做出最正确的判断，更详细完整的示例会在之后的章... | 2 | stack_v2_sparse_classes_30k_train_017752 | Implement the Python class `AbuFactorBuyBreakHitPredictDemo` described below.
Class description:
继续继承AbuFactorBuyBreak复写make_ump_block_decision， 区别是使用AbuFactorBuyBreakReocrdHitDemo的学习成果hit_ml 对几个裁判这次交易命中的分类簇个数组成矢量特征进行predict， 拦截预测结果为-1的交易
Method signatures and docstrings:
- def _init_self(self, **kwargs): 与AbuFactorB... | Implement the Python class `AbuFactorBuyBreakHitPredictDemo` described below.
Class description:
继续继承AbuFactorBuyBreak复写make_ump_block_decision， 区别是使用AbuFactorBuyBreakReocrdHitDemo的学习成果hit_ml 对几个裁判这次交易命中的分类簇个数组成矢量特征进行predict， 拦截预测结果为-1的交易
Method signatures and docstrings:
- def _init_self(self, **kwargs): 与AbuFactorB... | f00a070626407afe87763a50c99241696a38df46 | <|skeleton|>
class AbuFactorBuyBreakHitPredictDemo:
"""继续继承AbuFactorBuyBreak复写make_ump_block_decision， 区别是使用AbuFactorBuyBreakReocrdHitDemo的学习成果hit_ml 对几个裁判这次交易命中的分类簇个数组成矢量特征进行predict， 拦截预测结果为-1的交易"""
def _init_self(self, **kwargs):
"""与AbuFactorBuyBreak基本相同，唯一区别是关键子参数中添加了通过AbuFactorBuyBreakUmpDemo记录训练好... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AbuFactorBuyBreakHitPredictDemo:
"""继续继承AbuFactorBuyBreak复写make_ump_block_decision， 区别是使用AbuFactorBuyBreakReocrdHitDemo的学习成果hit_ml 对几个裁判这次交易命中的分类簇个数组成矢量特征进行predict， 拦截预测结果为-1的交易"""
def _init_self(self, **kwargs):
"""与AbuFactorBuyBreak基本相同，唯一区别是关键子参数中添加了通过AbuFactorBuyBreakUmpDemo记录训练好的决策器 self.hit... | the_stack_v2_python_sparse | abupy/FactorBuyBu/ABuFactorBuyDemo.py | zly111/abu | train | 1 |
b9d3e235d9f24444f8a5c3ab2580c9e007696479 | [
"if not TTS:\n raise ImportError('TextToSpeech pipeline is not available - install \"pipeline\" extra to enable')\npath = path if path else 'neuml/ljspeech-jets-onnx'\nconfig = hf_hub_download(path, filename='config.yaml')\nmodel = hf_hub_download(path, filename='model.onnx')\nwith open(config, 'r', encoding='ut... | <|body_start_0|>
if not TTS:
raise ImportError('TextToSpeech pipeline is not available - install "pipeline" extra to enable')
path = path if path else 'neuml/ljspeech-jets-onnx'
config = hf_hub_download(path, filename='config.yaml')
model = hf_hub_download(path, filename='mod... | Generates speech from text | TextToSpeech | [
"Apache-2.0",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TextToSpeech:
"""Generates speech from text"""
def __init__(self, path=None, maxtokens=512):
"""Creates a new TextToSpeech pipeline. Args: path: optional Hugging Face model hub id maxtokens: maximum number of tokens model can process, defaults to 512"""
<|body_0|>
def __... | stack_v2_sparse_classes_75kplus_train_007360 | 3,823 | permissive | [
{
"docstring": "Creates a new TextToSpeech pipeline. Args: path: optional Hugging Face model hub id maxtokens: maximum number of tokens model can process, defaults to 512",
"name": "__init__",
"signature": "def __init__(self, path=None, maxtokens=512)"
},
{
"docstring": "Generates speech from te... | 4 | stack_v2_sparse_classes_30k_val_001907 | Implement the Python class `TextToSpeech` described below.
Class description:
Generates speech from text
Method signatures and docstrings:
- def __init__(self, path=None, maxtokens=512): Creates a new TextToSpeech pipeline. Args: path: optional Hugging Face model hub id maxtokens: maximum number of tokens model can p... | Implement the Python class `TextToSpeech` described below.
Class description:
Generates speech from text
Method signatures and docstrings:
- def __init__(self, path=None, maxtokens=512): Creates a new TextToSpeech pipeline. Args: path: optional Hugging Face model hub id maxtokens: maximum number of tokens model can p... | 789a4555cb60ee9cdfa69afae5a5236d197e2b07 | <|skeleton|>
class TextToSpeech:
"""Generates speech from text"""
def __init__(self, path=None, maxtokens=512):
"""Creates a new TextToSpeech pipeline. Args: path: optional Hugging Face model hub id maxtokens: maximum number of tokens model can process, defaults to 512"""
<|body_0|>
def __... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TextToSpeech:
"""Generates speech from text"""
def __init__(self, path=None, maxtokens=512):
"""Creates a new TextToSpeech pipeline. Args: path: optional Hugging Face model hub id maxtokens: maximum number of tokens model can process, defaults to 512"""
if not TTS:
raise Impor... | the_stack_v2_python_sparse | src/python/txtai/pipeline/audio/texttospeech.py | neuml/txtai | train | 4,804 |
1f8ca18039b8aa35ca6fbf9aae0fd16af10e45e0 | [
"func = chain_transform(self._default_units())\ndata_pack = data_pack.apply_on_text(func, verbose=verbose)\nvocab_unit = build_vocab_unit(data_pack, verbose=verbose)\nself._context['vocab_unit'] = vocab_unit\nreturn self",
"data_pack = data_pack.copy()\nunits_ = self._default_units()\nunits_.append(self._context[... | <|body_start_0|>
func = chain_transform(self._default_units())
data_pack = data_pack.apply_on_text(func, verbose=verbose)
vocab_unit = build_vocab_unit(data_pack, verbose=verbose)
self._context['vocab_unit'] = vocab_unit
return self
<|end_body_0|>
<|body_start_1|>
data_p... | Naive preprocessor. Example: >>> import matchzoo as mz >>> train_data = mz.datasets.toy.load_data() >>> test_data = mz.datasets.toy.load_data(stage='test') >>> preprocessor = mz.preprocessors.NaivePreprocessor() >>> train_data_processed = preprocessor.fit_transform(train_data, ... verbose=0) >>> type(train_data_process... | NaivePreprocessor | [
"MIT",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-proprietary-license",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-unknown-license-reference",
"LGPL-2.1-or-later",
"Apache-2.0",
"LicenseRef-scancode-public-domain",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NaivePreprocessor:
"""Naive preprocessor. Example: >>> import matchzoo as mz >>> train_data = mz.datasets.toy.load_data() >>> test_data = mz.datasets.toy.load_data(stage='test') >>> preprocessor = mz.preprocessors.NaivePreprocessor() >>> train_data_processed = preprocessor.fit_transform(train_dat... | stack_v2_sparse_classes_75kplus_train_007361 | 2,402 | permissive | [
{
"docstring": "Fit pre-processing context for transformation. :param data_pack: data_pack to be preprocessed. :param verbose: Verbosity. :return: class:`NaivePreprocessor` instance.",
"name": "fit",
"signature": "def fit(self, data_pack: DataPack, verbose: int=1)"
},
{
"docstring": "Apply trans... | 2 | stack_v2_sparse_classes_30k_val_000929 | Implement the Python class `NaivePreprocessor` described below.
Class description:
Naive preprocessor. Example: >>> import matchzoo as mz >>> train_data = mz.datasets.toy.load_data() >>> test_data = mz.datasets.toy.load_data(stage='test') >>> preprocessor = mz.preprocessors.NaivePreprocessor() >>> train_data_processed... | Implement the Python class `NaivePreprocessor` described below.
Class description:
Naive preprocessor. Example: >>> import matchzoo as mz >>> train_data = mz.datasets.toy.load_data() >>> test_data = mz.datasets.toy.load_data(stage='test') >>> preprocessor = mz.preprocessors.NaivePreprocessor() >>> train_data_processed... | 4198ebce942f4afe7ddca6a96ab6f4464ade4518 | <|skeleton|>
class NaivePreprocessor:
"""Naive preprocessor. Example: >>> import matchzoo as mz >>> train_data = mz.datasets.toy.load_data() >>> test_data = mz.datasets.toy.load_data(stage='test') >>> preprocessor = mz.preprocessors.NaivePreprocessor() >>> train_data_processed = preprocessor.fit_transform(train_dat... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NaivePreprocessor:
"""Naive preprocessor. Example: >>> import matchzoo as mz >>> train_data = mz.datasets.toy.load_data() >>> test_data = mz.datasets.toy.load_data(stage='test') >>> preprocessor = mz.preprocessors.NaivePreprocessor() >>> train_data_processed = preprocessor.fit_transform(train_data, ... verbos... | the_stack_v2_python_sparse | poset_decoding/traversal_path_prediction/MatchZoo-py/matchzoo/preprocessors/naive_preprocessor.py | microsoft/ContextualSP | train | 332 |
ee2aed7b3678c8c22b05c04c50adf7571f4228b0 | [
"super(QueryPluginConfiguration, self).__init__(*args, **kwargs)\nself._query_configuration = None\nself._adapter is None\nreturn",
"if self._adapter is None:\n config = ConfigParser()\n section = 'query'\n config.add_section(section)\n self._adapter = ConfigurationAdapter(config)\nreturn self._adapte... | <|body_start_0|>
super(QueryPluginConfiguration, self).__init__(*args, **kwargs)
self._query_configuration = None
self._adapter is None
return
<|end_body_0|>
<|body_start_1|>
if self._adapter is None:
config = ConfigParser()
section = 'query'
... | A configuration for the queries | QueryPluginConfiguration | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QueryPluginConfiguration:
"""A configuration for the queries"""
def __init__(self, *args, **kwargs):
"""Constructor to set up the sub-configuration"""
<|body_0|>
def adapter(self):
"""Mapping config obj to the Configuration Adapter"""
<|body_1|>
def ... | stack_v2_sparse_classes_75kplus_train_007362 | 18,096 | no_license | [
{
"docstring": "Constructor to set up the sub-configuration",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Mapping config obj to the Configuration Adapter",
"name": "adapter",
"signature": "def adapter(self)"
},
{
"docstring": "The cam... | 4 | stack_v2_sparse_classes_30k_train_041606 | Implement the Python class `QueryPluginConfiguration` described below.
Class description:
A configuration for the queries
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Constructor to set up the sub-configuration
- def adapter(self): Mapping config obj to the Configuration Adapter
- def quer... | Implement the Python class `QueryPluginConfiguration` described below.
Class description:
A configuration for the queries
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Constructor to set up the sub-configuration
- def adapter(self): Mapping config obj to the Configuration Adapter
- def quer... | cd735b8c0fec06f7f9083714900ff88395c9443f | <|skeleton|>
class QueryPluginConfiguration:
"""A configuration for the queries"""
def __init__(self, *args, **kwargs):
"""Constructor to set up the sub-configuration"""
<|body_0|>
def adapter(self):
"""Mapping config obj to the Configuration Adapter"""
<|body_1|>
def ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QueryPluginConfiguration:
"""A configuration for the queries"""
def __init__(self, *args, **kwargs):
"""Constructor to set up the sub-configuration"""
super(QueryPluginConfiguration, self).__init__(*args, **kwargs)
self._query_configuration = None
self._adapter is None
... | the_stack_v2_python_sparse | cameraobscura/plugins/rvrplugin.py | russell-n/cameraobscura | train | 0 |
323196a88b8b5ef1b0de519c9974d96a5053afb6 | [
"self.fname = xml.get('file')\nself.bucket = xml.get('bucket')\nself.groupby = []\nself.columns = []\nself.where = []\nself.rows = []\nself.target = None\nself.group_operation = 'avg'\nfor node in xml.iterchildren():\n if node.tag == 'Label':\n self.label = node.text\n if node.tag == 'Caption':\n ... | <|body_start_0|>
self.fname = xml.get('file')
self.bucket = xml.get('bucket')
self.groupby = []
self.columns = []
self.where = []
self.rows = []
self.target = None
self.group_operation = 'avg'
for node in xml.iterchildren():
if node.tag... | Handles export of _ResultCollections to LyX-format for insertion into final report | ResultPivotTableOutput | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResultPivotTableOutput:
"""Handles export of _ResultCollections to LyX-format for insertion into final report"""
def __init__(self, xml):
"""XML configuration looks like this: <ResultTableOutput bucket="subjective-anns" file="Tables/Annotations.lyx"> <Label>tab:annotation</Label> <Ca... | stack_v2_sparse_classes_75kplus_train_007363 | 2,745 | no_license | [
{
"docstring": "XML configuration looks like this: <ResultTableOutput bucket=\"subjective-anns\" file=\"Tables/Annotations.lyx\"> <Label>tab:annotation</Label> <Caption>Comparison of annotation methods</Caption> <!--Inside is optional, <GroupBy> <Item string=\"algorithm\" /> </GroupBy> <GroupOperation operation... | 2 | stack_v2_sparse_classes_30k_train_000640 | Implement the Python class `ResultPivotTableOutput` described below.
Class description:
Handles export of _ResultCollections to LyX-format for insertion into final report
Method signatures and docstrings:
- def __init__(self, xml): XML configuration looks like this: <ResultTableOutput bucket="subjective-anns" file="T... | Implement the Python class `ResultPivotTableOutput` described below.
Class description:
Handles export of _ResultCollections to LyX-format for insertion into final report
Method signatures and docstrings:
- def __init__(self, xml): XML configuration looks like this: <ResultTableOutput bucket="subjective-anns" file="T... | d48de55173e2d788c0ebc54d0bf85d92dd57ff26 | <|skeleton|>
class ResultPivotTableOutput:
"""Handles export of _ResultCollections to LyX-format for insertion into final report"""
def __init__(self, xml):
"""XML configuration looks like this: <ResultTableOutput bucket="subjective-anns" file="Tables/Annotations.lyx"> <Label>tab:annotation</Label> <Ca... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResultPivotTableOutput:
"""Handles export of _ResultCollections to LyX-format for insertion into final report"""
def __init__(self, xml):
"""XML configuration looks like this: <ResultTableOutput bucket="subjective-anns" file="Tables/Annotations.lyx"> <Label>tab:annotation</Label> <Caption>Compari... | the_stack_v2_python_sparse | Actions/results.py | Sentimentron/Nebraska-public | train | 0 |
f8f771aa1e9c56b344c33da5b41e11cfbd70b6f4 | [
"y_lvls = np.asarray(y_lvls)\nif y_lvls.ndim != 2:\n raise ValueError('y values along level curves must be 2D array.')\nn, m = y_lvls.shape\nif n != len(x):\n raise ValueError(f'Number of y rows ({n}) does not match the number of x values ({len(x)}).')\nif m != len(lvl_vals):\n raise ValueError(f'Number of... | <|body_start_0|>
y_lvls = np.asarray(y_lvls)
if y_lvls.ndim != 2:
raise ValueError('y values along level curves must be 2D array.')
n, m = y_lvls.shape
if n != len(x):
raise ValueError(f'Number of y rows ({n}) does not match the number of x values ({len(x)}).')
... | Two step interpolator based on SciPy interp1d, for interpolating data where multiple single-Y-valued curves are given. Interpolation proceeds as follows for an intermediate level: - A parameterised curve is generated from the provided data on either side. - The parameterised curve is interrogated for the specific X-val... | Interp2Level | [
"MIT",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Interp2Level:
"""Two step interpolator based on SciPy interp1d, for interpolating data where multiple single-Y-valued curves are given. Interpolation proceeds as follows for an intermediate level: - A parameterised curve is generated from the provided data on either side. - The parameterised curv... | stack_v2_sparse_classes_75kplus_train_007364 | 15,922 | permissive | [
{
"docstring": "Parameters ---------- x : (N,) array_like A 1-D array of `x` real values. y_lvls : (N,M) array_like A ``N x M`` array of real values, where columns represent the `y` data at different values of the level curves: - ``N`` must equal to the length of `x`. - ``M`` must equal to the length of `val_lv... | 2 | stack_v2_sparse_classes_30k_train_047033 | Implement the Python class `Interp2Level` described below.
Class description:
Two step interpolator based on SciPy interp1d, for interpolating data where multiple single-Y-valued curves are given. Interpolation proceeds as follows for an intermediate level: - A parameterised curve is generated from the provided data o... | Implement the Python class `Interp2Level` described below.
Class description:
Two step interpolator based on SciPy interp1d, for interpolating data where multiple single-Y-valued curves are given. Interpolation proceeds as follows for an intermediate level: - A parameterised curve is generated from the provided data o... | f394a3eb0a59b2bf5467a2679ab99a6fa5a6490f | <|skeleton|>
class Interp2Level:
"""Two step interpolator based on SciPy interp1d, for interpolating data where multiple single-Y-valued curves are given. Interpolation proceeds as follows for an intermediate level: - A parameterised curve is generated from the provided data on either side. - The parameterised curv... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Interp2Level:
"""Two step interpolator based on SciPy interp1d, for interpolating data where multiple single-Y-valued curves are given. Interpolation proceeds as follows for an intermediate level: - A parameterised curve is generated from the provided data on either side. - The parameterised curve is interrog... | the_stack_v2_python_sparse | pyavia/data/interpolate.py | ericjwhitney/pyavia | train | 1 |
f874fee5a16426d04ca637f1d732e2a88590c514 | [
"transformation_indicies = [(i, j) for i in range(1, int(self.max_area / film_area)) for j in range(1, int(self.max_area / substrate_area)) if np.absolute(film_area / substrate_area - float(j) / i) < self.max_area_ratio_tol * float(j) / i]\nfor x in sorted(transformation_indicies, key=lambda x: x[0] * x[1]):\n y... | <|body_start_0|>
transformation_indicies = [(i, j) for i in range(1, int(self.max_area / film_area)) for j in range(1, int(self.max_area / substrate_area)) if np.absolute(film_area / substrate_area - float(j) / i) < self.max_area_ratio_tol * float(j) / i]
for x in sorted(transformation_indicies, key=lam... | This class generate matching interface super lattices based on the methodology of lattice vector matching for heterostructural interfaces proposed by Zur and McGill: Journal of Applied Physics 55 (1984), 378 ; doi: 10.1063/1.333084 The process of generating all possible matching super lattices is: 1.) Reduce the surfac... | ZSLGenerator_mod | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZSLGenerator_mod:
"""This class generate matching interface super lattices based on the methodology of lattice vector matching for heterostructural interfaces proposed by Zur and McGill: Journal of Applied Physics 55 (1984), 378 ; doi: 10.1063/1.333084 The process of generating all possible match... | stack_v2_sparse_classes_75kplus_train_007365 | 13,473 | permissive | [
{
"docstring": "Generates transformation sets for film/substrate pair given the area of the unit cell area for the film and substrate. The transformation sets map the film and substrate unit cells to super lattices with a maximum area Args: film_area(int): the unit cell area for the film substrate_area(int): th... | 3 | stack_v2_sparse_classes_30k_test_002737 | Implement the Python class `ZSLGenerator_mod` described below.
Class description:
This class generate matching interface super lattices based on the methodology of lattice vector matching for heterostructural interfaces proposed by Zur and McGill: Journal of Applied Physics 55 (1984), 378 ; doi: 10.1063/1.333084 The p... | Implement the Python class `ZSLGenerator_mod` described below.
Class description:
This class generate matching interface super lattices based on the methodology of lattice vector matching for heterostructural interfaces proposed by Zur and McGill: Journal of Applied Physics 55 (1984), 378 ; doi: 10.1063/1.333084 The p... | 93820af1abb8f43cab2f4c4d84e8a625091fcccd | <|skeleton|>
class ZSLGenerator_mod:
"""This class generate matching interface super lattices based on the methodology of lattice vector matching for heterostructural interfaces proposed by Zur and McGill: Journal of Applied Physics 55 (1984), 378 ; doi: 10.1063/1.333084 The process of generating all possible match... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ZSLGenerator_mod:
"""This class generate matching interface super lattices based on the methodology of lattice vector matching for heterostructural interfaces proposed by Zur and McGill: Journal of Applied Physics 55 (1984), 378 ; doi: 10.1063/1.333084 The process of generating all possible matching super lat... | the_stack_v2_python_sparse | waterstructureCreator/modified_pymatgen/substrate_analyzer_mod.py | computationalelectrochemistrygroup/WaterStructureCreator | train | 4 |
fb3c5a0fb33abafa27232d21560009704962d6e4 | [
"self.connected = False\nself.tmPacketData = None\nself.sendCyclic = False\nself.cyclicPeriodMs = int(UTIL.SYS.s_configuration.TM_CYCLIC_PERIOD_MS)\nself.obcAck1 = ENABLE_ACK\nself.obcAck2 = ENABLE_ACK\nself.obcAck3 = ENABLE_ACK\nself.obcAck4 = ENABLE_ACK\nself.obqAck1 = ENABLE_ACK\nself.obqAck2 = ENABLE_ACK\nself.... | <|body_start_0|>
self.connected = False
self.tmPacketData = None
self.sendCyclic = False
self.cyclicPeriodMs = int(UTIL.SYS.s_configuration.TM_CYCLIC_PERIOD_MS)
self.obcAck1 = ENABLE_ACK
self.obcAck2 = ENABLE_ACK
self.obcAck3 = ENABLE_ACK
self.obcAck4 = EN... | Configuration | Configuration | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Configuration:
"""Configuration"""
def __init__(self):
"""Initialise the connection relevant informations"""
<|body_0|>
def dump(self):
"""Dumps the status of the configuration attributes"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.conn... | stack_v2_sparse_classes_75kplus_train_007366 | 36,057 | permissive | [
{
"docstring": "Initialise the connection relevant informations",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Dumps the status of the configuration attributes",
"name": "dump",
"signature": "def dump(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017534 | Implement the Python class `Configuration` described below.
Class description:
Configuration
Method signatures and docstrings:
- def __init__(self): Initialise the connection relevant informations
- def dump(self): Dumps the status of the configuration attributes | Implement the Python class `Configuration` described below.
Class description:
Configuration
Method signatures and docstrings:
- def __init__(self): Initialise the connection relevant informations
- def dump(self): Dumps the status of the configuration attributes
<|skeleton|>
class Configuration:
"""Configuratio... | c94415e9d85519f345fc56938198ac2537c0c6d0 | <|skeleton|>
class Configuration:
"""Configuration"""
def __init__(self):
"""Initialise the connection relevant informations"""
<|body_0|>
def dump(self):
"""Dumps the status of the configuration attributes"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Configuration:
"""Configuration"""
def __init__(self):
"""Initialise the connection relevant informations"""
self.connected = False
self.tmPacketData = None
self.sendCyclic = False
self.cyclicPeriodMs = int(UTIL.SYS.s_configuration.TM_CYCLIC_PERIOD_MS)
self... | the_stack_v2_python_sparse | SPACE/IF.py | khawatkom/SpacePyLibrary | train | 1 |
8276e1b589c31740fca51c035d2c0f21d9683078 | [
"if config is None:\n raise TypeError('Input parameter config is None')\nif not isinstance(config, StubConfiguration):\n raise TypeError('Input parameter config is not a StubConfiguration')\nself._config = config",
"path_split = service_name.split('.')\nmodule_name = '%s_client' % '.'.join(path_split[:-1])\... | <|body_start_0|>
if config is None:
raise TypeError('Input parameter config is None')
if not isinstance(config, StubConfiguration):
raise TypeError('Input parameter config is not a StubConfiguration')
self._config = config
<|end_body_0|>
<|body_start_1|>
path_spl... | Factory for client-side vAPI stubs | StubFactory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StubFactory:
"""Factory for client-side vAPI stubs"""
def __init__(self, config):
"""Initialize the stub factory :type config: :class:`StubConfiguration` :param config: Configuration data for vAPI stubs"""
<|body_0|>
def create_stub(self, service_name):
"""Create... | stack_v2_sparse_classes_75kplus_train_007367 | 16,678 | no_license | [
{
"docstring": "Initialize the stub factory :type config: :class:`StubConfiguration` :param config: Configuration data for vAPI stubs",
"name": "__init__",
"signature": "def __init__(self, config)"
},
{
"docstring": "Create a stub corresponding to the specified service name :type service_name: :... | 2 | stack_v2_sparse_classes_30k_train_024738 | Implement the Python class `StubFactory` described below.
Class description:
Factory for client-side vAPI stubs
Method signatures and docstrings:
- def __init__(self, config): Initialize the stub factory :type config: :class:`StubConfiguration` :param config: Configuration data for vAPI stubs
- def create_stub(self, ... | Implement the Python class `StubFactory` described below.
Class description:
Factory for client-side vAPI stubs
Method signatures and docstrings:
- def __init__(self, config): Initialize the stub factory :type config: :class:`StubConfiguration` :param config: Configuration data for vAPI stubs
- def create_stub(self, ... | 5d395700ab3d0d1d45b497e48beab8c366fca9f5 | <|skeleton|>
class StubFactory:
"""Factory for client-side vAPI stubs"""
def __init__(self, config):
"""Initialize the stub factory :type config: :class:`StubConfiguration` :param config: Configuration data for vAPI stubs"""
<|body_0|>
def create_stub(self, service_name):
"""Create... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StubFactory:
"""Factory for client-side vAPI stubs"""
def __init__(self, config):
"""Initialize the stub factory :type config: :class:`StubConfiguration` :param config: Configuration data for vAPI stubs"""
if config is None:
raise TypeError('Input parameter config is None')
... | the_stack_v2_python_sparse | alexa-program/vmware/vapi/bindings/stub.py | taromurata/TDP2018_VMCAPI | train | 1 |
cf7c6084c41c8f0b7910a3ec6fc980d787f3b1a5 | [
"if head is None:\n return False\ntry:\n cur1 = head\n cur2 = head.next\n while cur1 is not None and cur2 is not None:\n if cur1 == cur2:\n return True\n cur1 = cur1.next\n cur2 = cur2.next.next\n return False\nexcept Exception:\n return False",
"if head is None o... | <|body_start_0|>
if head is None:
return False
try:
cur1 = head
cur2 = head.next
while cur1 is not None and cur2 is not None:
if cur1 == cur2:
return True
cur1 = cur1.next
cur2 = cur2.next... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def hasCycle(self, head):
""":type head: ListNode :rtype: bool"""
<|body_0|>
def hasCycle2(self, head):
""":type head: ListNode :rtype: bool"""
<|body_1|>
def hasCycle3(self, head):
"""我们可以通过检查一个结点此前是否被访问过来判断链表是否为环形链表。常用的方法是使用哈希表。 :type... | stack_v2_sparse_classes_75kplus_train_007368 | 2,439 | no_license | [
{
"docstring": ":type head: ListNode :rtype: bool",
"name": "hasCycle",
"signature": "def hasCycle(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: bool",
"name": "hasCycle2",
"signature": "def hasCycle2(self, head)"
},
{
"docstring": "我们可以通过检查一个结点此前是否被访问过来判断链表是否为环形链表... | 3 | stack_v2_sparse_classes_30k_train_040606 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasCycle(self, head): :type head: ListNode :rtype: bool
- def hasCycle2(self, head): :type head: ListNode :rtype: bool
- def hasCycle3(self, head): 我们可以通过检查一个结点此前是否被访问过来判断链表是... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasCycle(self, head): :type head: ListNode :rtype: bool
- def hasCycle2(self, head): :type head: ListNode :rtype: bool
- def hasCycle3(self, head): 我们可以通过检查一个结点此前是否被访问过来判断链表是... | 3b13b36f37eb364410b3b5b4f10a1808d8b1111e | <|skeleton|>
class Solution:
def hasCycle(self, head):
""":type head: ListNode :rtype: bool"""
<|body_0|>
def hasCycle2(self, head):
""":type head: ListNode :rtype: bool"""
<|body_1|>
def hasCycle3(self, head):
"""我们可以通过检查一个结点此前是否被访问过来判断链表是否为环形链表。常用的方法是使用哈希表。 :type... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def hasCycle(self, head):
""":type head: ListNode :rtype: bool"""
if head is None:
return False
try:
cur1 = head
cur2 = head.next
while cur1 is not None and cur2 is not None:
if cur1 == cur2:
... | the_stack_v2_python_sparse | leetcode/141.py | yanggelinux/algorithm-data-structure | train | 0 | |
b8584d79ec40cb01bc46b253ae7a3712612520e7 | [
"with FileFixture() as file_fixture:\n path = os.path.join(file_fixture.root, 'logs/job-output.json')\n file_detail = FileDetail(path, '')\n path_stat = os.stat(path)\n self.assertEqual(time.gmtime(path_stat[stat.ST_MTIME]), file_detail.last_modified)\n self.assertEqual(16, file_detail.size)",
"fil... | <|body_start_0|>
with FileFixture() as file_fixture:
path = os.path.join(file_fixture.root, 'logs/job-output.json')
file_detail = FileDetail(path, '')
path_stat = os.stat(path)
self.assertEqual(time.gmtime(path_stat[stat.ST_MTIME]), file_detail.last_modified)
... | TestFileDetail | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestFileDetail:
def test_get_file_detail(self):
"""Test files info"""
<|body_0|>
def test_get_file_detail_missing_file(self):
"""Test files that go missing during a walk"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
with FileFixture() as file_fixt... | stack_v2_sparse_classes_75kplus_train_007369 | 22,845 | permissive | [
{
"docstring": "Test files info",
"name": "test_get_file_detail",
"signature": "def test_get_file_detail(self)"
},
{
"docstring": "Test files that go missing during a walk",
"name": "test_get_file_detail_missing_file",
"signature": "def test_get_file_detail_missing_file(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_025136 | Implement the Python class `TestFileDetail` described below.
Class description:
Implement the TestFileDetail class.
Method signatures and docstrings:
- def test_get_file_detail(self): Test files info
- def test_get_file_detail_missing_file(self): Test files that go missing during a walk | Implement the Python class `TestFileDetail` described below.
Class description:
Implement the TestFileDetail class.
Method signatures and docstrings:
- def test_get_file_detail(self): Test files info
- def test_get_file_detail_missing_file(self): Test files that go missing during a walk
<|skeleton|>
class TestFileDe... | c8ac1bef639127327091c126aa88d14e2f04835a | <|skeleton|>
class TestFileDetail:
def test_get_file_detail(self):
"""Test files info"""
<|body_0|>
def test_get_file_detail_missing_file(self):
"""Test files that go missing during a walk"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestFileDetail:
def test_get_file_detail(self):
"""Test files info"""
with FileFixture() as file_fixture:
path = os.path.join(file_fixture.root, 'logs/job-output.json')
file_detail = FileDetail(path, '')
path_stat = os.stat(path)
self.assertEqual... | the_stack_v2_python_sparse | roles/upload-logs-base1/library/test_index.py | opentelekomcloud-infra/otc-zuul-jobs | train | 1 | |
503c72178d8d2931ae0e3700e7ee3a0b5478a821 | [
"result = {'result': 'NG'}\ndata = request.get_json(force=True)\nif data:\n succsee, message = CtrlQuotations().add_combination_by_quotation_id3(quotation_id, data)\n if succsee:\n result = {'result': 'OK', 'content': message}\n else:\n result['error'] = message\nelse:\n result['error'] = ... | <|body_start_0|>
result = {'result': 'NG'}
data = request.get_json(force=True)
if data:
succsee, message = CtrlQuotations().add_combination_by_quotation_id3(quotation_id, data)
if succsee:
result = {'result': 'OK', 'content': message}
else:
... | ApiOptionCombinationInfo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApiOptionCombinationInfo:
def post(self, quotation_id):
"""更新/添加此报价下的Combination :return:"""
<|body_0|>
def get(self, quotation_id):
"""获取此报价下的所有Option :return:"""
<|body_1|>
def delete(self, op_id):
"""删除此条Option :return:"""
<|body_2|>
... | stack_v2_sparse_classes_75kplus_train_007370 | 10,406 | no_license | [
{
"docstring": "更新/添加此报价下的Combination :return:",
"name": "post",
"signature": "def post(self, quotation_id)"
},
{
"docstring": "获取此报价下的所有Option :return:",
"name": "get",
"signature": "def get(self, quotation_id)"
},
{
"docstring": "删除此条Option :return:",
"name": "delete",
... | 3 | stack_v2_sparse_classes_30k_train_020337 | Implement the Python class `ApiOptionCombinationInfo` described below.
Class description:
Implement the ApiOptionCombinationInfo class.
Method signatures and docstrings:
- def post(self, quotation_id): 更新/添加此报价下的Combination :return:
- def get(self, quotation_id): 获取此报价下的所有Option :return:
- def delete(self, op_id): 删除... | Implement the Python class `ApiOptionCombinationInfo` described below.
Class description:
Implement the ApiOptionCombinationInfo class.
Method signatures and docstrings:
- def post(self, quotation_id): 更新/添加此报价下的Combination :return:
- def get(self, quotation_id): 获取此报价下的所有Option :return:
- def delete(self, op_id): 删除... | 64b31e7bdfcb8a4c95f0a8a607f0bcff576cec11 | <|skeleton|>
class ApiOptionCombinationInfo:
def post(self, quotation_id):
"""更新/添加此报价下的Combination :return:"""
<|body_0|>
def get(self, quotation_id):
"""获取此报价下的所有Option :return:"""
<|body_1|>
def delete(self, op_id):
"""删除此条Option :return:"""
<|body_2|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ApiOptionCombinationInfo:
def post(self, quotation_id):
"""更新/添加此报价下的Combination :return:"""
result = {'result': 'NG'}
data = request.get_json(force=True)
if data:
succsee, message = CtrlQuotations().add_combination_by_quotation_id3(quotation_id, data)
i... | the_stack_v2_python_sparse | koala/koala_server/app/api_1_0/api_quotations.py | lsn1183/web_project | train | 0 | |
db5392730296201fc393727bab4d48779fbfa707 | [
"super().__init__(address)\nself._name = name\nself._card_no = card_no\nself._expiry_date = expiry_date",
"expiry = ''\ncard_no = ''\nif self._expiry_date is not None:\n expiry = f\"Expires on {self._expiry_date.strftime('%Y-%m-%d')}\\n\"\nif self._card_no is not None:\n card_no = f'{self._card_no}\\n'\nret... | <|body_start_0|>
super().__init__(address)
self._name = name
self._card_no = card_no
self._expiry_date = expiry_date
<|end_body_0|>
<|body_start_1|>
expiry = ''
card_no = ''
if self._expiry_date is not None:
expiry = f"Expires on {self._expiry_date.st... | Represent identification card. | IDCard | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IDCard:
"""Represent identification card."""
def __init__(self, name, card_no, expiry_date, address):
"""Initialise IDCard. :param name: String :param card_no: String :param expiry_date: Date :param address: Address"""
<|body_0|>
def __str__(self):
"""Format how ... | stack_v2_sparse_classes_75kplus_train_007371 | 10,626 | no_license | [
{
"docstring": "Initialise IDCard. :param name: String :param card_no: String :param expiry_date: Date :param address: Address",
"name": "__init__",
"signature": "def __init__(self, name, card_no, expiry_date, address)"
},
{
"docstring": "Format how IDCards are displayed to the user. :return: St... | 2 | stack_v2_sparse_classes_30k_train_054754 | Implement the Python class `IDCard` described below.
Class description:
Represent identification card.
Method signatures and docstrings:
- def __init__(self, name, card_no, expiry_date, address): Initialise IDCard. :param name: String :param card_no: String :param expiry_date: Date :param address: Address
- def __str... | Implement the Python class `IDCard` described below.
Class description:
Represent identification card.
Method signatures and docstrings:
- def __init__(self, name, card_no, expiry_date, address): Initialise IDCard. :param name: String :param card_no: String :param expiry_date: Date :param address: Address
- def __str... | b7695cc7cf0860aa9c8bf492b1bd06bd88b9af41 | <|skeleton|>
class IDCard:
"""Represent identification card."""
def __init__(self, name, card_no, expiry_date, address):
"""Initialise IDCard. :param name: String :param card_no: String :param expiry_date: Date :param address: Address"""
<|body_0|>
def __str__(self):
"""Format how ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IDCard:
"""Represent identification card."""
def __init__(self, name, card_no, expiry_date, address):
"""Initialise IDCard. :param name: String :param card_no: String :param expiry_date: Date :param address: Address"""
super().__init__(address)
self._name = name
self._card... | the_stack_v2_python_sparse | Assignments/Assignment 2/card.py | sakshambhardwaj523/Python-OOP-Projects | train | 0 |
83c4007b7b3e32e34e21317a4f69d82ca06f38bd | [
"table = self.metadata.tables[table]\nconnection.execute(table.insert(), [dict(zip(columns, row)) for row in record_iterable])\nself.session.flush()",
"rt_map_model_name = f'{table_name}Model'\nself.models[table_name] = type(rt_map_model_name, (object,), {})\nrt_map_fields = [Column('record_type_id', Unicode(18),... | <|body_start_0|>
table = self.metadata.tables[table]
connection.execute(table.insert(), [dict(zip(columns, row)) for row in record_iterable])
self.session.flush()
<|end_body_0|>
<|body_start_1|>
rt_map_model_name = f'{table_name}Model'
self.models[table_name] = type(rt_map_model... | SqlAlchemyMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SqlAlchemyMixin:
def _sql_bulk_insert_from_records(self, *, connection, table, columns, record_iterable):
"""Persist records from the given generator into the local database."""
<|body_0|>
def _create_record_type_table(self, table_name):
"""Create a table to store ma... | stack_v2_sparse_classes_75kplus_train_007372 | 5,969 | permissive | [
{
"docstring": "Persist records from the given generator into the local database.",
"name": "_sql_bulk_insert_from_records",
"signature": "def _sql_bulk_insert_from_records(self, *, connection, table, columns, record_iterable)"
},
{
"docstring": "Create a table to store mapping between Record Ty... | 3 | stack_v2_sparse_classes_30k_train_001494 | Implement the Python class `SqlAlchemyMixin` described below.
Class description:
Implement the SqlAlchemyMixin class.
Method signatures and docstrings:
- def _sql_bulk_insert_from_records(self, *, connection, table, columns, record_iterable): Persist records from the given generator into the local database.
- def _cr... | Implement the Python class `SqlAlchemyMixin` described below.
Class description:
Implement the SqlAlchemyMixin class.
Method signatures and docstrings:
- def _sql_bulk_insert_from_records(self, *, connection, table, columns, record_iterable): Persist records from the given generator into the local database.
- def _cr... | ea01e5d3523cc174d4a60af93584df7f4486c9f3 | <|skeleton|>
class SqlAlchemyMixin:
def _sql_bulk_insert_from_records(self, *, connection, table, columns, record_iterable):
"""Persist records from the given generator into the local database."""
<|body_0|>
def _create_record_type_table(self, table_name):
"""Create a table to store ma... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SqlAlchemyMixin:
def _sql_bulk_insert_from_records(self, *, connection, table, columns, record_iterable):
"""Persist records from the given generator into the local database."""
table = self.metadata.tables[table]
connection.execute(table.insert(), [dict(zip(columns, row)) for row in r... | the_stack_v2_python_sparse | cumulusci/tasks/bulkdata/utils.py | Julian88Tex/CumulusCI | train | 1 | |
df0645eddb26dc95e3d45119a7c3bc3803c42d72 | [
"cls._init_from_yaml = True\nobj = cls(**data.get('with', {}), needs=data.get('needs'), runtime_args=runtime_args)\ncls._init_from_yaml = False\nobj.is_updated = False\nreturn obj",
"r = {}\nr['with'] = {}\nparser = set_deployment_parser()\nnon_default_kw = ArgNamespace.get_non_defaults_args(data.args, parser)\nf... | <|body_start_0|>
cls._init_from_yaml = True
obj = cls(**data.get('with', {}), needs=data.get('needs'), runtime_args=runtime_args)
cls._init_from_yaml = False
obj.is_updated = False
return obj
<|end_body_0|>
<|body_start_1|>
r = {}
r['with'] = {}
parser = ... | Legacy parser for gateway. | DeploymentLegacyParser | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeploymentLegacyParser:
"""Legacy parser for gateway."""
def parse(self, cls: Type['Deployment'], data: Dict, runtime_args: Optional[Dict[str, Any]]=None) -> 'Deployment':
""":param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: deployment y... | stack_v2_sparse_classes_75kplus_train_007373 | 1,922 | permissive | [
{
"docstring": ":param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: deployment yaml file loaded as python dict :param runtime_args: Optional runtime_args to be directly passed without being parsed into a yaml config :return: the Deployment YAML parser given the synta... | 2 | null | Implement the Python class `DeploymentLegacyParser` described below.
Class description:
Legacy parser for gateway.
Method signatures and docstrings:
- def parse(self, cls: Type['Deployment'], data: Dict, runtime_args: Optional[Dict[str, Any]]=None) -> 'Deployment': :param cls: target class type to parse into, must be... | Implement the Python class `DeploymentLegacyParser` described below.
Class description:
Legacy parser for gateway.
Method signatures and docstrings:
- def parse(self, cls: Type['Deployment'], data: Dict, runtime_args: Optional[Dict[str, Any]]=None) -> 'Deployment': :param cls: target class type to parse into, must be... | 23c7b8c78fc4ad67d16d83fc0c9f0eae9e935e71 | <|skeleton|>
class DeploymentLegacyParser:
"""Legacy parser for gateway."""
def parse(self, cls: Type['Deployment'], data: Dict, runtime_args: Optional[Dict[str, Any]]=None) -> 'Deployment':
""":param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: deployment y... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeploymentLegacyParser:
"""Legacy parser for gateway."""
def parse(self, cls: Type['Deployment'], data: Dict, runtime_args: Optional[Dict[str, Any]]=None) -> 'Deployment':
""":param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: deployment yaml file load... | the_stack_v2_python_sparse | jina/jaml/parsers/deployment/legacy.py | jina-ai/jina | train | 20,687 |
11c287e088260c257405754a756a3a480f6b1814 | [
"bootcamp_application = self.instance.bootcamp_application\nif 'review_status' in attrs:\n if bootcamp_application.state not in (AppStates.AWAITING_SUBMISSION_REVIEW.value, AppStates.AWAITING_USER_SUBMISSIONS.value, AppStates.AWAITING_PAYMENT.value, AppStates.REJECTED.value) or bootcamp_application.total_paid > ... | <|body_start_0|>
bootcamp_application = self.instance.bootcamp_application
if 'review_status' in attrs:
if bootcamp_application.state not in (AppStates.AWAITING_SUBMISSION_REVIEW.value, AppStates.AWAITING_USER_SUBMISSIONS.value, AppStates.AWAITING_PAYMENT.value, AppStates.REJECTED.value) or ... | ApplicationStepSubmission serializer for reviewers | SubmissionReviewSerializer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubmissionReviewSerializer:
"""ApplicationStepSubmission serializer for reviewers"""
def validate(self, attrs):
"""Validate incoming data for a write"""
<|body_0|>
def update(self, instance, validated_data):
"""Update an ApplicationStepSubmission"""
<|bod... | stack_v2_sparse_classes_75kplus_train_007374 | 10,254 | permissive | [
{
"docstring": "Validate incoming data for a write",
"name": "validate",
"signature": "def validate(self, attrs)"
},
{
"docstring": "Update an ApplicationStepSubmission",
"name": "update",
"signature": "def update(self, instance, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_053239 | Implement the Python class `SubmissionReviewSerializer` described below.
Class description:
ApplicationStepSubmission serializer for reviewers
Method signatures and docstrings:
- def validate(self, attrs): Validate incoming data for a write
- def update(self, instance, validated_data): Update an ApplicationStepSubmis... | Implement the Python class `SubmissionReviewSerializer` described below.
Class description:
ApplicationStepSubmission serializer for reviewers
Method signatures and docstrings:
- def validate(self, attrs): Validate incoming data for a write
- def update(self, instance, validated_data): Update an ApplicationStepSubmis... | 339c67b84b661a37ffe32580da72383d95666c5c | <|skeleton|>
class SubmissionReviewSerializer:
"""ApplicationStepSubmission serializer for reviewers"""
def validate(self, attrs):
"""Validate incoming data for a write"""
<|body_0|>
def update(self, instance, validated_data):
"""Update an ApplicationStepSubmission"""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubmissionReviewSerializer:
"""ApplicationStepSubmission serializer for reviewers"""
def validate(self, attrs):
"""Validate incoming data for a write"""
bootcamp_application = self.instance.bootcamp_application
if 'review_status' in attrs:
if bootcamp_application.state... | the_stack_v2_python_sparse | applications/serializers.py | mitodl/bootcamp-ecommerce | train | 6 |
6250dfaf355ea65d7fcc8b1a806d70aeeb1a7d21 | [
"try:\n return ClientLocationDetail.objects.get(client_location__client__pk=client_id, client_location__pk=client_location_id)\nexcept ClientLocationDetail.DoesNotExist:\n if get_or_create:\n return ClientLocationDetail.objects.create(client_location__pk=client_location_id)\n else:\n self.rai... | <|body_start_0|>
try:
return ClientLocationDetail.objects.get(client_location__client__pk=client_id, client_location__pk=client_location_id)
except ClientLocationDetail.DoesNotExist:
if get_or_create:
return ClientLocationDetail.objects.create(client_location__pk=... | Client Location Detail Detail API Class Example URL: /api/v1/clients/<client_id>/locations/<client_location_id>/details/ | ClientLocationDetailDetail | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClientLocationDetailDetail:
"""Client Location Detail Detail API Class Example URL: /api/v1/clients/<client_id>/locations/<client_location_id>/details/"""
def get_object(self, client_id, client_location_id, get_or_create=False):
"""Method to ease access of getting the queryset for us... | stack_v2_sparse_classes_75kplus_train_007375 | 3,068 | no_license | [
{
"docstring": "Method to ease access of getting the queryset for use :pk - PK of the client location detail that you want to get detail on :client_id - Client Id that the detail is related too :client_location_id - Client Location ID that the detail is related too You must pass a PK in otherwise this will fail... | 3 | stack_v2_sparse_classes_30k_train_025740 | Implement the Python class `ClientLocationDetailDetail` described below.
Class description:
Client Location Detail Detail API Class Example URL: /api/v1/clients/<client_id>/locations/<client_location_id>/details/
Method signatures and docstrings:
- def get_object(self, client_id, client_location_id, get_or_create=Fal... | Implement the Python class `ClientLocationDetailDetail` described below.
Class description:
Client Location Detail Detail API Class Example URL: /api/v1/clients/<client_id>/locations/<client_location_id>/details/
Method signatures and docstrings:
- def get_object(self, client_id, client_location_id, get_or_create=Fal... | 9769e1a96730b02511d25af8828b075dff5c35b5 | <|skeleton|>
class ClientLocationDetailDetail:
"""Client Location Detail Detail API Class Example URL: /api/v1/clients/<client_id>/locations/<client_location_id>/details/"""
def get_object(self, client_id, client_location_id, get_or_create=False):
"""Method to ease access of getting the queryset for us... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ClientLocationDetailDetail:
"""Client Location Detail Detail API Class Example URL: /api/v1/clients/<client_id>/locations/<client_location_id>/details/"""
def get_object(self, client_id, client_location_id, get_or_create=False):
"""Method to ease access of getting the queryset for use :pk - PK of... | the_stack_v2_python_sparse | clients/api/client_location_detail_detail.py | doubleclickdetroit/dindintonight | train | 0 |
5a5b61ac7be37418920c7208dc317f8df84c9461 | [
"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... | A set of methods for managing Service resources. | ServiceServiceServicer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ServiceServiceServicer:
"""A set of methods for managing Service resources."""
def Get(self, request, context):
"""Returns the specified service."""
<|body_0|>
def List(self, request, context):
"""Retrieves the list of services."""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_75kplus_train_007376 | 4,669 | permissive | [
{
"docstring": "Returns the specified service.",
"name": "Get",
"signature": "def Get(self, request, context)"
},
{
"docstring": "Retrieves the list of services.",
"name": "List",
"signature": "def List(self, request, context)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035506 | Implement the Python class `ServiceServiceServicer` described below.
Class description:
A set of methods for managing Service resources.
Method signatures and docstrings:
- def Get(self, request, context): Returns the specified service.
- def List(self, request, context): Retrieves the list of services. | Implement the Python class `ServiceServiceServicer` described below.
Class description:
A set of methods for managing Service resources.
Method signatures and docstrings:
- def Get(self, request, context): Returns the specified service.
- def List(self, request, context): Retrieves the list of services.
<|skeleton|>... | b906a014dd893e2697864e1e48e814a8d9fbc48c | <|skeleton|>
class ServiceServiceServicer:
"""A set of methods for managing Service resources."""
def Get(self, request, context):
"""Returns the specified service."""
<|body_0|>
def List(self, request, context):
"""Retrieves the list of services."""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ServiceServiceServicer:
"""A set of methods for managing Service resources."""
def Get(self, request, context):
"""Returns the specified service."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Me... | the_stack_v2_python_sparse | yandex/cloud/billing/v1/service_service_pb2_grpc.py | yandex-cloud/python-sdk | train | 63 |
d45e81eb238d35b40eae1b699607e86918a8d21e | [
"dp = {0}\nfor a in stones:\n dp = {a + i for i in dp} | {a - i for i in dp}\nreturn min((abs(i) for i in dp))",
"dp = [0] * 1501\ndp[0] = 1\ns = 0\nres = 100\nfor a in stones:\n s += a\n for i in range(1500, a - 1, -1):\n dp[i] += dp[i - a]\nfor i in range(1500):\n res = min(res, abs(s - dp[i]... | <|body_start_0|>
dp = {0}
for a in stones:
dp = {a + i for i in dp} | {a - i for i in dp}
return min((abs(i) for i in dp))
<|end_body_0|>
<|body_start_1|>
dp = [0] * 1501
dp[0] = 1
s = 0
res = 100
for a in stones:
s += a
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lastStoneWeightII(self, stones):
"""暂时看不懂 :type stones: List[int] :rtype: int"""
<|body_0|>
def lastStoneWeightII2(self, stones):
"""看不懂+1 :param stones: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
dp = {0}
for a i... | stack_v2_sparse_classes_75kplus_train_007377 | 3,100 | no_license | [
{
"docstring": "暂时看不懂 :type stones: List[int] :rtype: int",
"name": "lastStoneWeightII",
"signature": "def lastStoneWeightII(self, stones)"
},
{
"docstring": "看不懂+1 :param stones: :return:",
"name": "lastStoneWeightII2",
"signature": "def lastStoneWeightII2(self, stones)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lastStoneWeightII(self, stones): 暂时看不懂 :type stones: List[int] :rtype: int
- def lastStoneWeightII2(self, stones): 看不懂+1 :param stones: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lastStoneWeightII(self, stones): 暂时看不懂 :type stones: List[int] :rtype: int
- def lastStoneWeightII2(self, stones): 看不懂+1 :param stones: :return:
<|skeleton|>
class Solution:... | 5d3574ccd282d0146c83c286ae28d8baaabd4910 | <|skeleton|>
class Solution:
def lastStoneWeightII(self, stones):
"""暂时看不懂 :type stones: List[int] :rtype: int"""
<|body_0|>
def lastStoneWeightII2(self, stones):
"""看不懂+1 :param stones: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def lastStoneWeightII(self, stones):
"""暂时看不懂 :type stones: List[int] :rtype: int"""
dp = {0}
for a in stones:
dp = {a + i for i in dp} | {a - i for i in dp}
return min((abs(i) for i in dp))
def lastStoneWeightII2(self, stones):
"""看不懂+1 :para... | the_stack_v2_python_sparse | 1049_最后一块石头的重量 II.py | lovehhf/LeetCode | train | 0 | |
4634506925d36b6e900e9db6887cda8232712270 | [
"self._api_url = url\nself._session = requests.Session()\nself._session.headers['x-api-key'] = api_key\nself._session.verify = verify\nif not url:\n raise ValueError('IronNet URL must be set')\nif not api_key:\n raise ValueError('IronNet API key must be set')",
"resp: Response = self._session.get(self._api_... | <|body_start_0|>
self._api_url = url
self._session = requests.Session()
self._session.headers['x-api-key'] = api_key
self._session.verify = verify
if not url:
raise ValueError('IronNet URL must be set')
if not api_key:
raise ValueError('IronNet API... | IronNet client | IronNetClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IronNetClient:
"""IronNet client"""
def __init__(self, url: str, api_key: str, verify: bool=True):
"""Constructor. :param url: IronNet url :param api_key: IronNet API key :param verify: Verify SSL connections"""
<|body_0|>
def query(self) -> Iterator[IronNetItem]:
... | stack_v2_sparse_classes_75kplus_train_007378 | 1,867 | permissive | [
{
"docstring": "Constructor. :param url: IronNet url :param api_key: IronNet API key :param verify: Verify SSL connections",
"name": "__init__",
"signature": "def __init__(self, url: str, api_key: str, verify: bool=True)"
},
{
"docstring": "Process the feed URL and return any indicators. :return... | 2 | stack_v2_sparse_classes_30k_train_042740 | Implement the Python class `IronNetClient` described below.
Class description:
IronNet client
Method signatures and docstrings:
- def __init__(self, url: str, api_key: str, verify: bool=True): Constructor. :param url: IronNet url :param api_key: IronNet API key :param verify: Verify SSL connections
- def query(self) ... | Implement the Python class `IronNetClient` described below.
Class description:
IronNet client
Method signatures and docstrings:
- def __init__(self, url: str, api_key: str, verify: bool=True): Constructor. :param url: IronNet url :param api_key: IronNet API key :param verify: Verify SSL connections
- def query(self) ... | d00a0243946ded25b5d06bdefd9b40015dea9b80 | <|skeleton|>
class IronNetClient:
"""IronNet client"""
def __init__(self, url: str, api_key: str, verify: bool=True):
"""Constructor. :param url: IronNet url :param api_key: IronNet API key :param verify: Verify SSL connections"""
<|body_0|>
def query(self) -> Iterator[IronNetItem]:
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IronNetClient:
"""IronNet client"""
def __init__(self, url: str, api_key: str, verify: bool=True):
"""Constructor. :param url: IronNet url :param api_key: IronNet API key :param verify: Verify SSL connections"""
self._api_url = url
self._session = requests.Session()
self._... | the_stack_v2_python_sparse | external-import/ironnet/src/ironnet/client.py | OpenCTI-Platform/connectors | train | 254 |
d09e902719804baca27f4b107dcb407bd898e8cd | [
"with steps.start('Shut Bgp process') as step:\n try:\n uut.execute('process shutdown bgp')\n except Exception as e:\n step.failed('Failed to shut the feature', from_exception=e)",
"with steps.start('UnShut Bgp process') as step:\n try:\n uut.execute('process restart bpm')\n excep... | <|body_start_0|>
with steps.start('Shut Bgp process') as step:
try:
uut.execute('process shutdown bgp')
except Exception as e:
step.failed('Failed to shut the feature', from_exception=e)
<|end_body_0|>
<|body_start_1|>
with steps.start('UnShut Bgp... | Trigger class for ShutNoShut action | TriggerShutNoShut | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TriggerShutNoShut:
"""Trigger class for ShutNoShut action"""
def shut(self, uut, method, abstract, steps):
"""Send configuration to shut Args: uut (`obj`): Device object. abstract (`obj`): Abstract object. steps (`step obj`): aetest step object Returns: None Raises: pyATS Results"""
... | stack_v2_sparse_classes_75kplus_train_007379 | 5,672 | permissive | [
{
"docstring": "Send configuration to shut Args: uut (`obj`): Device object. abstract (`obj`): Abstract object. steps (`step obj`): aetest step object Returns: None Raises: pyATS Results",
"name": "shut",
"signature": "def shut(self, uut, method, abstract, steps)"
},
{
"docstring": "restart proc... | 2 | stack_v2_sparse_classes_30k_train_047782 | Implement the Python class `TriggerShutNoShut` described below.
Class description:
Trigger class for ShutNoShut action
Method signatures and docstrings:
- def shut(self, uut, method, abstract, steps): Send configuration to shut Args: uut (`obj`): Device object. abstract (`obj`): Abstract object. steps (`step obj`): a... | Implement the Python class `TriggerShutNoShut` described below.
Class description:
Trigger class for ShutNoShut action
Method signatures and docstrings:
- def shut(self, uut, method, abstract, steps): Send configuration to shut Args: uut (`obj`): Device object. abstract (`obj`): Abstract object. steps (`step obj`): a... | e42e51475cddcb10f5c7814d0fe892ac865742ba | <|skeleton|>
class TriggerShutNoShut:
"""Trigger class for ShutNoShut action"""
def shut(self, uut, method, abstract, steps):
"""Send configuration to shut Args: uut (`obj`): Device object. abstract (`obj`): Abstract object. steps (`step obj`): aetest step object Returns: None Raises: pyATS Results"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TriggerShutNoShut:
"""Trigger class for ShutNoShut action"""
def shut(self, uut, method, abstract, steps):
"""Send configuration to shut Args: uut (`obj`): Device object. abstract (`obj`): Abstract object. steps (`step obj`): aetest step object Returns: None Raises: pyATS Results"""
with ... | the_stack_v2_python_sparse | pkgs/sdk-pkg/src/genie/libs/sdk/triggers/shutnoshut/bgp/iosxr/shutnoshut.py | CiscoTestAutomation/genielibs | train | 109 |
b6ca720e8de5230623ed66b784ad30985bf34dcf | [
"Nature.__init__(self, x, y, window)\nself.image = pygame.image.load('Images/desertdune.png')\nself.rect = self.image.get_rect()\nself.rect.x = x\nself.rect.y = y",
"if window.model.heat < 255:\n window.model.heat += 0.01\nif window.model.wet > 0:\n window.model.wet -= 0.01"
] | <|body_start_0|>
Nature.__init__(self, x, y, window)
self.image = pygame.image.load('Images/desertdune.png')
self.rect = self.image.get_rect()
self.rect.x = x
self.rect.y = y
<|end_body_0|>
<|body_start_1|>
if window.model.heat < 255:
window.model.heat += 0.0... | Desert sand dune object | DesertDune | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DesertDune:
"""Desert sand dune object"""
def __init__(self, x, y, window):
"""replaces the default image with the desert dune image"""
<|body_0|>
def effect(self, window):
"""makes the enrivonment hotter and drier"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_007380 | 4,149 | no_license | [
{
"docstring": "replaces the default image with the desert dune image",
"name": "__init__",
"signature": "def __init__(self, x, y, window)"
},
{
"docstring": "makes the enrivonment hotter and drier",
"name": "effect",
"signature": "def effect(self, window)"
}
] | 2 | null | Implement the Python class `DesertDune` described below.
Class description:
Desert sand dune object
Method signatures and docstrings:
- def __init__(self, x, y, window): replaces the default image with the desert dune image
- def effect(self, window): makes the enrivonment hotter and drier | Implement the Python class `DesertDune` described below.
Class description:
Desert sand dune object
Method signatures and docstrings:
- def __init__(self, x, y, window): replaces the default image with the desert dune image
- def effect(self, window): makes the enrivonment hotter and drier
<|skeleton|>
class DesertD... | dbe8fbd8825b47290d11d6e3d4a7199f668e7527 | <|skeleton|>
class DesertDune:
"""Desert sand dune object"""
def __init__(self, x, y, window):
"""replaces the default image with the desert dune image"""
<|body_0|>
def effect(self, window):
"""makes the enrivonment hotter and drier"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DesertDune:
"""Desert sand dune object"""
def __init__(self, x, y, window):
"""replaces the default image with the desert dune image"""
Nature.__init__(self, x, y, window)
self.image = pygame.image.load('Images/desertdune.png')
self.rect = self.image.get_rect()
sel... | the_stack_v2_python_sparse | environment.py | Greenlightrj/playgod | train | 0 |
b29c492a5833cbb30ba4247a872c518d9727e25a | [
"data = {'args': (data.pop('name'),)}\nmethod = rebalance.status\nreturn await self.middleware.call('gluster.method.run', method, data)",
"data = {'args': (data.pop('name'),)}\nmethod = rebalance.fix_layout_start\nreturn await self.middleware.call('gluster.method.run', method, data)",
"options = {'args': (data.... | <|body_start_0|>
data = {'args': (data.pop('name'),)}
method = rebalance.status
return await self.middleware.call('gluster.method.run', method, data)
<|end_body_0|>
<|body_start_1|>
data = {'args': (data.pop('name'),)}
method = rebalance.fix_layout_start
return await sel... | GlusterRebalanceService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GlusterRebalanceService:
async def status(self, job, data):
"""Return the status of a rebalance operation for a given gluster volume. `name` String representing the gluster volume."""
<|body_0|>
async def fix_layout(self, job, data):
"""Start a fix-layout operation f... | stack_v2_sparse_classes_75kplus_train_007381 | 2,514 | no_license | [
{
"docstring": "Return the status of a rebalance operation for a given gluster volume. `name` String representing the gluster volume.",
"name": "status",
"signature": "async def status(self, job, data)"
},
{
"docstring": "Start a fix-layout operation for a given gluster volume. `name` String rep... | 4 | stack_v2_sparse_classes_30k_train_017971 | Implement the Python class `GlusterRebalanceService` described below.
Class description:
Implement the GlusterRebalanceService class.
Method signatures and docstrings:
- async def status(self, job, data): Return the status of a rebalance operation for a given gluster volume. `name` String representing the gluster vol... | Implement the Python class `GlusterRebalanceService` described below.
Class description:
Implement the GlusterRebalanceService class.
Method signatures and docstrings:
- async def status(self, job, data): Return the status of a rebalance operation for a given gluster volume. `name` String representing the gluster vol... | 7404f896226978409291d48c4dc723ed34f21329 | <|skeleton|>
class GlusterRebalanceService:
async def status(self, job, data):
"""Return the status of a rebalance operation for a given gluster volume. `name` String representing the gluster volume."""
<|body_0|>
async def fix_layout(self, job, data):
"""Start a fix-layout operation f... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GlusterRebalanceService:
async def status(self, job, data):
"""Return the status of a rebalance operation for a given gluster volume. `name` String representing the gluster volume."""
data = {'args': (data.pop('name'),)}
method = rebalance.status
return await self.middleware.ca... | the_stack_v2_python_sparse | src/middlewared/middlewared/plugins/gluster_linux/rebalance.py | haoshao/freenas | train | 1 | |
a6815155d11b138ad5d10da9c5a91b52b714ccfb | [
"super(ActionValueFunction, self).__init__()\nself.values = nn.Parameter(torch.zeros((state_size, action_size), requires_grad=True))\nself.state_size = state_size\nself.action_size = action_size\nif init is not None:\n if isinstance(init, (float, int, torch.Tensor)):\n self.values.data.add_(init)\n els... | <|body_start_0|>
super(ActionValueFunction, self).__init__()
self.values = nn.Parameter(torch.zeros((state_size, action_size), requires_grad=True))
self.state_size = state_size
self.action_size = action_size
if init is not None:
if isinstance(init, (float, int, torch.... | <a href="https://github.com/seba-1511/cherry/blob/master/cherry/models/tabular.py" class="source-link">[Source]</a> ## Description Stores a table of action values, Q(s, a), one for each (state, action) pair. Assumes that the states and actions are one-hot encoded. Also, the returned values are differentiable and can be... | ActionValueFunction | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ActionValueFunction:
"""<a href="https://github.com/seba-1511/cherry/blob/master/cherry/models/tabular.py" class="source-link">[Source]</a> ## Description Stores a table of action values, Q(s, a), one for each (state, action) pair. Assumes that the states and actions are one-hot encoded. Also, th... | stack_v2_sparse_classes_75kplus_train_007382 | 3,917 | permissive | [
{
"docstring": "## Arguments * `state_size` (int) - The number of states in the environment. * `action_size` (int) - The number of actions per state. * `init` (function, *optional*, default=None) - The initialization scheme for the values in the table. (Default is 0.)",
"name": "__init__",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_038314 | Implement the Python class `ActionValueFunction` described below.
Class description:
<a href="https://github.com/seba-1511/cherry/blob/master/cherry/models/tabular.py" class="source-link">[Source]</a> ## Description Stores a table of action values, Q(s, a), one for each (state, action) pair. Assumes that the states an... | Implement the Python class `ActionValueFunction` described below.
Class description:
<a href="https://github.com/seba-1511/cherry/blob/master/cherry/models/tabular.py" class="source-link">[Source]</a> ## Description Stores a table of action values, Q(s, a), one for each (state, action) pair. Assumes that the states an... | f4164a53dcc762ac5ce53a761fb54f3f69847f90 | <|skeleton|>
class ActionValueFunction:
"""<a href="https://github.com/seba-1511/cherry/blob/master/cherry/models/tabular.py" class="source-link">[Source]</a> ## Description Stores a table of action values, Q(s, a), one for each (state, action) pair. Assumes that the states and actions are one-hot encoded. Also, th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ActionValueFunction:
"""<a href="https://github.com/seba-1511/cherry/blob/master/cherry/models/tabular.py" class="source-link">[Source]</a> ## Description Stores a table of action values, Q(s, a), one for each (state, action) pair. Assumes that the states and actions are one-hot encoded. Also, the returned va... | the_stack_v2_python_sparse | cherry/models/tabular.py | learnables/cherry | train | 185 |
a8553863a4ba89dad0382b607b0d71d38a122ac5 | [
"self.id = id\nself.version = version\nself.log_id = log_id\nself.provider = provider\nself.magic_num = magic_num\nself.reserved = reserved",
"self.id = socket.htons(self.id)\nself.version = socket.htons(self.version)\nself.log_id = socket.htonl(self.log_id)\nself.reserved = socket.htons(self.reserved)\nself.body... | <|body_start_0|>
self.id = id
self.version = version
self.log_id = log_id
self.provider = provider
self.magic_num = magic_num
self.reserved = reserved
<|end_body_0|>
<|body_start_1|>
self.id = socket.htons(self.id)
self.version = socket.htons(self.version... | ĿǰͨʽбĿռɽĶ̬ء ͷṹ unit16_t id, //id 1 unit16_t version, //汾 1 unit32_t log_id, //apchelogidᴩһ罻 111 char provider[16], //ͻ˱ʵ"client" uint32_t magic_num //ʾһʼ 0xffee7799 unit32_t reserved; // unit32_t body_len; //headܳȣҲprotobufкźij | x_server_header | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class x_server_header:
"""ĿǰͨʽбĿռɽĶ̬ء ͷṹ unit16_t id, //id 1 unit16_t version, //汾 1 unit32_t log_id, //apchelogidᴩһ罻 111 char provider[16], //ͻ˱ʵ"client" uint32_t magic_num //ʾһʼ 0xffee7799 unit32_t reserved; // unit32_t body_len; //headܳȣҲprotobufкźij"""
def __init__(self, id=1, version=1, log_id... | stack_v2_sparse_classes_75kplus_train_007383 | 2,381 | no_license | [
{
"docstring": "ʵʱҪbody_len",
"name": "__init__",
"signature": "def __init__(self, id=1, version=1, log_id=111, provider='client', magic_num=socket.htonl(4293818265), reserved=0)"
},
{
"docstring": "תٽstruct",
"name": "package_header",
"signature": "def package_header(self, body_len)"
... | 3 | stack_v2_sparse_classes_30k_train_003008 | Implement the Python class `x_server_header` described below.
Class description:
ĿǰͨʽбĿռɽĶ̬ء ͷṹ unit16_t id, //id 1 unit16_t version, //汾 1 unit32_t log_id, //apchelogidᴩһ罻 111 char provider[16], //ͻ˱ʵ"client" uint32_t magic_num //ʾһʼ 0xffee7799 unit32_t reserved; // unit32_t body_len; //headܳȣҲprotobufкźij
Method sig... | Implement the Python class `x_server_header` described below.
Class description:
ĿǰͨʽбĿռɽĶ̬ء ͷṹ unit16_t id, //id 1 unit16_t version, //汾 1 unit32_t log_id, //apchelogidᴩһ罻 111 char provider[16], //ͻ˱ʵ"client" uint32_t magic_num //ʾһʼ 0xffee7799 unit32_t reserved; // unit32_t body_len; //headܳȣҲprotobufкźij
Method sig... | ce1131cee2808e9631e3467c8ded4b43d7bf3792 | <|skeleton|>
class x_server_header:
"""ĿǰͨʽбĿռɽĶ̬ء ͷṹ unit16_t id, //id 1 unit16_t version, //汾 1 unit32_t log_id, //apchelogidᴩһ罻 111 char provider[16], //ͻ˱ʵ"client" uint32_t magic_num //ʾһʼ 0xffee7799 unit32_t reserved; // unit32_t body_len; //headܳȣҲprotobufкźij"""
def __init__(self, id=1, version=1, log_id... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class x_server_header:
"""ĿǰͨʽбĿռɽĶ̬ء ͷṹ unit16_t id, //id 1 unit16_t version, //汾 1 unit32_t log_id, //apchelogidᴩһ罻 111 char provider[16], //ͻ˱ʵ"client" uint32_t magic_num //ʾһʼ 0xffee7799 unit32_t reserved; // unit32_t body_len; //headܳȣҲprotobufкźij"""
def __init__(self, id=1, version=1, log_id=111, provide... | the_stack_v2_python_sparse | mock_server_tool/mock_lib/header.py | EllaSun/TesterCode | train | 1 |
b347078daf97a2fb92761ee070c401fcaf71f8de | [
"dh_params = DH.PARAM_NUMBERS.parameters(default_backend())\nx = dh_params.generate_private_key()\nx_bytes = x.private_numbers().x.to_bytes(128, 'big')\ngx = x.public_key()\ngx_bytes = gx.public_numbers().y.to_bytes(128, 'big')\nreturn (x, x_bytes, gx, gx_bytes)",
"gy = DH.dh_public_from_bytes(gy)\nshared_key_mat... | <|body_start_0|>
dh_params = DH.PARAM_NUMBERS.parameters(default_backend())
x = dh_params.generate_private_key()
x_bytes = x.private_numbers().x.to_bytes(128, 'big')
gx = x.public_key()
gx_bytes = gx.public_numbers().y.to_bytes(128, 'big')
return (x, x_bytes, gx, gx_bytes... | DH | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DH:
def generate_keys():
"""Generates the 128 bit diffe hellman private (x) and public (g^x) keys. :return: x value, x as bytes, gx value, and gx as bytes"""
<|body_0|>
def derrive_shared_key(x: dh.DHPrivateKey, gy: bytes, hash: bytes):
"""Derrive the shared key from... | stack_v2_sparse_classes_75kplus_train_007384 | 11,662 | no_license | [
{
"docstring": "Generates the 128 bit diffe hellman private (x) and public (g^x) keys. :return: x value, x as bytes, gx value, and gx as bytes",
"name": "generate_keys",
"signature": "def generate_keys()"
},
{
"docstring": "Derrive the shared key from gy with x, as done in Diffie Hellman :param ... | 4 | stack_v2_sparse_classes_30k_train_034198 | Implement the Python class `DH` described below.
Class description:
Implement the DH class.
Method signatures and docstrings:
- def generate_keys(): Generates the 128 bit diffe hellman private (x) and public (g^x) keys. :return: x value, x as bytes, gx value, and gx as bytes
- def derrive_shared_key(x: dh.DHPrivateKe... | Implement the Python class `DH` described below.
Class description:
Implement the DH class.
Method signatures and docstrings:
- def generate_keys(): Generates the 128 bit diffe hellman private (x) and public (g^x) keys. :return: x value, x as bytes, gx value, and gx as bytes
- def derrive_shared_key(x: dh.DHPrivateKe... | cf0daa63ead5a9282e36cf28133c93a9f67068c1 | <|skeleton|>
class DH:
def generate_keys():
"""Generates the 128 bit diffe hellman private (x) and public (g^x) keys. :return: x value, x as bytes, gx value, and gx as bytes"""
<|body_0|>
def derrive_shared_key(x: dh.DHPrivateKey, gy: bytes, hash: bytes):
"""Derrive the shared key from... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DH:
def generate_keys():
"""Generates the 128 bit diffe hellman private (x) and public (g^x) keys. :return: x value, x as bytes, gx value, and gx as bytes"""
dh_params = DH.PARAM_NUMBERS.parameters(default_backend())
x = dh_params.generate_private_key()
x_bytes = x.private_numb... | the_stack_v2_python_sparse | crypto/core_crypto.py | Eli-G3/PyTORoxy | train | 1 | |
76158a960c8a2aa3090a9fb8ba41c13ab2fa2174 | [
"base.Action.__init__(self, self.__openBrowser)\nself.__overlayList = overlayList\nself.__displayCtx = displayCtx\nself.__frame = frame\nif wxnat is None:\n self.enabled = False",
"hosts = fslsettings.read('fsleyes.xnat.hosts', [])\naccounts = fslsettings.read('fsleyes.xnat.accounts', {})\ndlg = XNATBrowser(se... | <|body_start_0|>
base.Action.__init__(self, self.__openBrowser)
self.__overlayList = overlayList
self.__displayCtx = displayCtx
self.__frame = frame
if wxnat is None:
self.enabled = False
<|end_body_0|>
<|body_start_1|>
hosts = fslsettings.read('fsleyes.xnat.... | The ``BrowseXNATAction`` allows the user to open files from an XNAT repository. It opens a :class:`XNATBrowser``, and adds the files that the user selected into the :class:`.OverlayList`. | BrowseXNATAction | [
"BSD-3-Clause",
"CC-BY-3.0",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BrowseXNATAction:
"""The ``BrowseXNATAction`` allows the user to open files from an XNAT repository. It opens a :class:`XNATBrowser``, and adds the files that the user selected into the :class:`.OverlayList`."""
def __init__(self, overlayList, displayCtx, frame):
"""Create a ``Browse... | stack_v2_sparse_classes_75kplus_train_007385 | 7,179 | permissive | [
{
"docstring": "Create a ``BrowseXNATAction``. :arg overlayList: The :class:`.OverlayList`. :arg displayCtx: The :class:`.DisplayContext`. :arg frame: The :class:`.FSLeyesFrame`.",
"name": "__init__",
"signature": "def __init__(self, overlayList, displayCtx, frame)"
},
{
"docstring": "Opens a :c... | 2 | stack_v2_sparse_classes_30k_train_011311 | Implement the Python class `BrowseXNATAction` described below.
Class description:
The ``BrowseXNATAction`` allows the user to open files from an XNAT repository. It opens a :class:`XNATBrowser``, and adds the files that the user selected into the :class:`.OverlayList`.
Method signatures and docstrings:
- def __init__... | Implement the Python class `BrowseXNATAction` described below.
Class description:
The ``BrowseXNATAction`` allows the user to open files from an XNAT repository. It opens a :class:`XNATBrowser``, and adds the files that the user selected into the :class:`.OverlayList`.
Method signatures and docstrings:
- def __init__... | 46ccb4fe2b2346eb57576247f49714032b61307a | <|skeleton|>
class BrowseXNATAction:
"""The ``BrowseXNATAction`` allows the user to open files from an XNAT repository. It opens a :class:`XNATBrowser``, and adds the files that the user selected into the :class:`.OverlayList`."""
def __init__(self, overlayList, displayCtx, frame):
"""Create a ``Browse... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BrowseXNATAction:
"""The ``BrowseXNATAction`` allows the user to open files from an XNAT repository. It opens a :class:`XNATBrowser``, and adds the files that the user selected into the :class:`.OverlayList`."""
def __init__(self, overlayList, displayCtx, frame):
"""Create a ``BrowseXNATAction``.... | the_stack_v2_python_sparse | fsleyes/actions/browsexnat.py | sanjayankur31/fsleyes | train | 1 |
c442ed8f8bcc9c2a8ab714e6490bdc12ec5bf719 | [
"self.lines_to_read = int(sys.argv[2])\nself.fileread = file_read.MyFile()\nself.mystack = stack.MyStack()",
"fhandle = self.fileread.open_file(sys.argv[1])\nlinecount = self.fileread.get_line_count(sys.argv[1])\ntempfile = file_read.MyFile()\nhandle = tempfile.open_file(name='output.txt', mode='w')\nfor lines in... | <|body_start_0|>
self.lines_to_read = int(sys.argv[2])
self.fileread = file_read.MyFile()
self.mystack = stack.MyStack()
<|end_body_0|>
<|body_start_1|>
fhandle = self.fileread.open_file(sys.argv[1])
linecount = self.fileread.get_line_count(sys.argv[1])
tempfile = file_r... | line | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class line:
def __init__(self):
"""Initializes: 1)File handle 2)Number of lines to be read 3)Stack"""
<|body_0|>
def push_lines_to_stack(self):
"""Pushes all the lines in file to the stack."""
<|body_1|>
def pop_required_lines(self):
"""Pops required l... | stack_v2_sparse_classes_75kplus_train_007386 | 1,578 | no_license | [
{
"docstring": "Initializes: 1)File handle 2)Number of lines to be read 3)Stack",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Pushes all the lines in file to the stack.",
"name": "push_lines_to_stack",
"signature": "def push_lines_to_stack(self)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_032355 | Implement the Python class `line` described below.
Class description:
Implement the line class.
Method signatures and docstrings:
- def __init__(self): Initializes: 1)File handle 2)Number of lines to be read 3)Stack
- def push_lines_to_stack(self): Pushes all the lines in file to the stack.
- def pop_required_lines(s... | Implement the Python class `line` described below.
Class description:
Implement the line class.
Method signatures and docstrings:
- def __init__(self): Initializes: 1)File handle 2)Number of lines to be read 3)Stack
- def push_lines_to_stack(self): Pushes all the lines in file to the stack.
- def pop_required_lines(s... | f1f3544ce3006dd33a87ed6aaa493248ca9a301d | <|skeleton|>
class line:
def __init__(self):
"""Initializes: 1)File handle 2)Number of lines to be read 3)Stack"""
<|body_0|>
def push_lines_to_stack(self):
"""Pushes all the lines in file to the stack."""
<|body_1|>
def pop_required_lines(self):
"""Pops required l... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class line:
def __init__(self):
"""Initializes: 1)File handle 2)Number of lines to be read 3)Stack"""
self.lines_to_read = int(sys.argv[2])
self.fileread = file_read.MyFile()
self.mystack = stack.MyStack()
def push_lines_to_stack(self):
"""Pushes all the lines in file to... | the_stack_v2_python_sparse | python/tail/tail/tail.py | sayalilunkad/mycodes | train | 0 | |
92942f69195622cb3268a1ee33d3d1bb9e93bbeb | [
"super().__init__()\nnout_new = nout - nin\nself.eesp = VGGBlock(nin, nout_new, stride=2, down_method='avg')\nself.avg = nn.AvgPool2d(kernel_size=3, padding=1, stride=2)\nif reinf:\n self.inp_reinf = nn.Sequential(CBR(config_inp_reinf, config_inp_reinf, 3, 1), CB(config_inp_reinf, nout, 1, 1))\nself.act = nn.PRe... | <|body_start_0|>
super().__init__()
nout_new = nout - nin
self.eesp = VGGBlock(nin, nout_new, stride=2, down_method='avg')
self.avg = nn.AvgPool2d(kernel_size=3, padding=1, stride=2)
if reinf:
self.inp_reinf = nn.Sequential(CBR(config_inp_reinf, config_inp_reinf, 3, 1... | Down-sampling fucntion that has three parallel branches: (1) avg pooling, (2) EESP block with stride of 2 and (3) efficient long-range connection with the input. The output feature maps of branches from (1) and (2) are concatenated and then additively fused with (3) to produce the final output. | DownSampler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DownSampler:
"""Down-sampling fucntion that has three parallel branches: (1) avg pooling, (2) EESP block with stride of 2 and (3) efficient long-range connection with the input. The output feature maps of branches from (1) and (2) are concatenated and then additively fused with (3) to produce the... | stack_v2_sparse_classes_75kplus_train_007387 | 8,682 | permissive | [
{
"docstring": ":param nin: number of input channels :param nout: number of output channels :param k: # of parallel branches :param r_lim: A maximum value of receptive field allowed for EESP block :param reinf: Use long range shortcut connection with the input or not.",
"name": "__init__",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_031688 | Implement the Python class `DownSampler` described below.
Class description:
Down-sampling fucntion that has three parallel branches: (1) avg pooling, (2) EESP block with stride of 2 and (3) efficient long-range connection with the input. The output feature maps of branches from (1) and (2) are concatenated and then a... | Implement the Python class `DownSampler` described below.
Class description:
Down-sampling fucntion that has three parallel branches: (1) avg pooling, (2) EESP block with stride of 2 and (3) efficient long-range connection with the input. The output feature maps of branches from (1) and (2) are concatenated and then a... | d00a290cb1c86cb079acef69f914805737cb3696 | <|skeleton|>
class DownSampler:
"""Down-sampling fucntion that has three parallel branches: (1) avg pooling, (2) EESP block with stride of 2 and (3) efficient long-range connection with the input. The output feature maps of branches from (1) and (2) are concatenated and then additively fused with (3) to produce the... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DownSampler:
"""Down-sampling fucntion that has three parallel branches: (1) avg pooling, (2) EESP block with stride of 2 and (3) efficient long-range connection with the input. The output feature maps of branches from (1) and (2) are concatenated and then additively fused with (3) to produce the final output... | the_stack_v2_python_sparse | affspec/models/vgg.py | BeibinLi/affspec | train | 0 |
0abf3a01cda9f5ca379bd62f99597a5f6ca99638 | [
"if len(teams) % 4 != 0:\n raise DrawFatalError('Tried to do a four-way fold with non-multiple of four: %d' % len(teams))\nn = len(teams) // 4\npools = (teams[0:n], teams[n:2 * n], teams[2 * n:3 * n], teams[3 * n:4 * n])\npools[1].reverse()\npools[3].reverse()\npairings = list()\nfor i, ts in enumerate(zip(*pool... | <|body_start_0|>
if len(teams) % 4 != 0:
raise DrawFatalError('Tried to do a four-way fold with non-multiple of four: %d' % len(teams))
n = len(teams) // 4
pools = (teams[0:n], teams[n:2 * n], teams[2 * n:3 * n], teams[3 * n:4 * n])
pools[1].reverse()
pools[3].reverse... | BaseBPEliminationDrawGenerator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseBPEliminationDrawGenerator:
def _four_way_fold(self, teams, start_rank=0):
"""Returns pairings folded four-way, with room ranks numbered from start_rank+1."""
<|body_0|>
def _get_advancing_teams(self):
"""Collates the advancing teams from `self.results`, checks t... | stack_v2_sparse_classes_75kplus_train_007388 | 6,004 | no_license | [
{
"docstring": "Returns pairings folded four-way, with room ranks numbered from start_rank+1.",
"name": "_four_way_fold",
"signature": "def _four_way_fold(self, teams, start_rank=0)"
},
{
"docstring": "Collates the advancing teams from `self.results`, checks them for validity, and returns them i... | 2 | stack_v2_sparse_classes_30k_train_035494 | Implement the Python class `BaseBPEliminationDrawGenerator` described below.
Class description:
Implement the BaseBPEliminationDrawGenerator class.
Method signatures and docstrings:
- def _four_way_fold(self, teams, start_rank=0): Returns pairings folded four-way, with room ranks numbered from start_rank+1.
- def _ge... | Implement the Python class `BaseBPEliminationDrawGenerator` described below.
Class description:
Implement the BaseBPEliminationDrawGenerator class.
Method signatures and docstrings:
- def _four_way_fold(self, teams, start_rank=0): Returns pairings folded four-way, with room ranks numbered from start_rank+1.
- def _ge... | 691dba2d26ec5c6a0c43ef8fa20ee0d14c18e52b | <|skeleton|>
class BaseBPEliminationDrawGenerator:
def _four_way_fold(self, teams, start_rank=0):
"""Returns pairings folded four-way, with room ranks numbered from start_rank+1."""
<|body_0|>
def _get_advancing_teams(self):
"""Collates the advancing teams from `self.results`, checks t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseBPEliminationDrawGenerator:
def _four_way_fold(self, teams, start_rank=0):
"""Returns pairings folded four-way, with room ranks numbered from start_rank+1."""
if len(teams) % 4 != 0:
raise DrawFatalError('Tried to do a four-way fold with non-multiple of four: %d' % len(teams))
... | the_stack_v2_python_sparse | tabbycat/draw/generator/bpelimination.py | dedymerdeka/tabbycat | train | 0 | |
d25c0692a98abd428c559fa52252dfdbb41f9ab9 | [
"inputs = common_layers.flatten4d3d(inputs)\nencoder_input, self_attention_bias, encoder_decoder_attention_bias = transformer_prepare_encoder(inputs, target_space, hparams)\nencoder_input = tf.nn.dropout(encoder_input, 1.0 - hparams.layer_prepostprocess_dropout)\nencoder_output = transformer_encoder(encoder_input, ... | <|body_start_0|>
inputs = common_layers.flatten4d3d(inputs)
encoder_input, self_attention_bias, encoder_decoder_attention_bias = transformer_prepare_encoder(inputs, target_space, hparams)
encoder_input = tf.nn.dropout(encoder_input, 1.0 - hparams.layer_prepostprocess_dropout)
encoder_out... | Attention net. See file docstring. | TransformerExt | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransformerExt:
"""Attention net. See file docstring."""
def encode(self, inputs, raw_inputs, target_space, hparams):
"""Encode transformer inputs. Args: inputs: Transformer inputs [batch_size, input_length, hidden_dim] target_space: scalar, target space ID. hparams: hyperparmeters f... | stack_v2_sparse_classes_75kplus_train_007389 | 32,545 | permissive | [
{
"docstring": "Encode transformer inputs. Args: inputs: Transformer inputs [batch_size, input_length, hidden_dim] target_space: scalar, target space ID. hparams: hyperparmeters for model. Returns: Tuple of: encoder_output: Encoder representation. [batch_size, input_length, hidden_dim] encoder_decoder_attention... | 3 | stack_v2_sparse_classes_30k_train_038924 | Implement the Python class `TransformerExt` described below.
Class description:
Attention net. See file docstring.
Method signatures and docstrings:
- def encode(self, inputs, raw_inputs, target_space, hparams): Encode transformer inputs. Args: inputs: Transformer inputs [batch_size, input_length, hidden_dim] target_... | Implement the Python class `TransformerExt` described below.
Class description:
Attention net. See file docstring.
Method signatures and docstrings:
- def encode(self, inputs, raw_inputs, target_space, hparams): Encode transformer inputs. Args: inputs: Transformer inputs [batch_size, input_length, hidden_dim] target_... | f6e1b78c4b831c09149265edfd2873aa7fc29f55 | <|skeleton|>
class TransformerExt:
"""Attention net. See file docstring."""
def encode(self, inputs, raw_inputs, target_space, hparams):
"""Encode transformer inputs. Args: inputs: Transformer inputs [batch_size, input_length, hidden_dim] target_space: scalar, target space ID. hparams: hyperparmeters f... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TransformerExt:
"""Attention net. See file docstring."""
def encode(self, inputs, raw_inputs, target_space, hparams):
"""Encode transformer inputs. Args: inputs: Transformer inputs [batch_size, input_length, hidden_dim] target_space: scalar, target space ID. hparams: hyperparmeters for model. Ret... | the_stack_v2_python_sparse | usr/models/transformer_ext.old/model.py | fstahlberg/tensor2tensor-usr | train | 5 |
3a1589982e96238b6060a343c65a247bbb606d51 | [
"self.path_data = '/disk/data/share/s1690903/pandemic_anxiety/data/'\nself.data = pd.read_csv(self.path_data + filename)\nself.path_result = '/disk/data/share/s1690903/pandemic_anxiety/results/lda_results/'",
"data = self.data.drop_duplicates(subset='post_id', keep='first', inplace=False)\ndata = data[~data['text... | <|body_start_0|>
self.path_data = '/disk/data/share/s1690903/pandemic_anxiety/data/'
self.data = pd.read_csv(self.path_data + filename)
self.path_result = '/disk/data/share/s1690903/pandemic_anxiety/results/lda_results/'
<|end_body_0|>
<|body_start_1|>
data = self.data.drop_duplicates(s... | ProcessText | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProcessText:
def __init__(self, filename):
"""Define varibles."""
<|body_0|>
def processed_data(self):
"""Remove duplicates and deleted posts and nan"""
<|body_1|>
def data_dict(self):
"""Convert df to dictionary."""
<|body_2|>
def s... | stack_v2_sparse_classes_75kplus_train_007390 | 23,190 | no_license | [
{
"docstring": "Define varibles.",
"name": "__init__",
"signature": "def __init__(self, filename)"
},
{
"docstring": "Remove duplicates and deleted posts and nan",
"name": "processed_data",
"signature": "def processed_data(self)"
},
{
"docstring": "Convert df to dictionary.",
... | 6 | stack_v2_sparse_classes_30k_train_007912 | Implement the Python class `ProcessText` described below.
Class description:
Implement the ProcessText class.
Method signatures and docstrings:
- def __init__(self, filename): Define varibles.
- def processed_data(self): Remove duplicates and deleted posts and nan
- def data_dict(self): Convert df to dictionary.
- de... | Implement the Python class `ProcessText` described below.
Class description:
Implement the ProcessText class.
Method signatures and docstrings:
- def __init__(self, filename): Define varibles.
- def processed_data(self): Remove duplicates and deleted posts and nan
- def data_dict(self): Convert df to dictionary.
- de... | 167764802f1e474cd4c421b347be396f6412ba70 | <|skeleton|>
class ProcessText:
def __init__(self, filename):
"""Define varibles."""
<|body_0|>
def processed_data(self):
"""Remove duplicates and deleted posts and nan"""
<|body_1|>
def data_dict(self):
"""Convert df to dictionary."""
<|body_2|>
def s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProcessText:
def __init__(self, filename):
"""Define varibles."""
self.path_data = '/disk/data/share/s1690903/pandemic_anxiety/data/'
self.data = pd.read_csv(self.path_data + filename)
self.path_result = '/disk/data/share/s1690903/pandemic_anxiety/results/lda_results/'
def... | the_stack_v2_python_sparse | source/lda_topic.py | luciasalar/pandemic_anxiety | train | 1 | |
06f7ccc7f03ecee0c20bda4605795cd2b14c6219 | [
"left, right = (0, len(nums) - 1)\nwhile left <= right:\n mid = left + (right - left) // 2\n if nums[mid] == target:\n return mid\n elif nums[left] <= nums[mid]:\n if nums[left] <= target <= nums[mid]:\n right = mid - 1\n else:\n left = mid + 1\n elif nums[mid]... | <|body_start_0|>
left, right = (0, len(nums) - 1)
while left <= right:
mid = left + (right - left) // 2
if nums[mid] == target:
return mid
elif nums[left] <= nums[mid]:
if nums[left] <= target <= nums[mid]:
right = m... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def search_v2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
def search_naive(self, nums, target):
... | stack_v2_sparse_classes_75kplus_train_007391 | 3,502 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "search",
"signature": "def search(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "search_v2",
"signature": "def search_v2(self, nums, target)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_005673 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def search(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def search_v2(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def search(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def search_v2(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def search_v2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
def search_naive(self, nums, target):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
left, right = (0, len(nums) - 1)
while left <= right:
mid = left + (right - left) // 2
if nums[mid] == target:
return mid
elif nums[le... | the_stack_v2_python_sparse | src/lt_33.py | oxhead/CodingYourWay | train | 0 | |
709fbd4599794c5cfda6e1ef3f1ff9ea620d3f49 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn TimeBasedAttributeTrigger()",
"from .workflow_execution_trigger import WorkflowExecutionTrigger\nfrom .workflow_trigger_time_based_attribute import WorkflowTriggerTimeBasedAttribute\nfrom .workflow_execution_trigger import WorkflowExec... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return TimeBasedAttributeTrigger()
<|end_body_0|>
<|body_start_1|>
from .workflow_execution_trigger import WorkflowExecutionTrigger
from .workflow_trigger_time_based_attribute import WorkflowTr... | TimeBasedAttributeTrigger | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TimeBasedAttributeTrigger:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> TimeBasedAttributeTrigger:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and c... | stack_v2_sparse_classes_75kplus_train_007392 | 3,115 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: TimeBasedAttributeTrigger",
"name": "create_from_discriminator_value",
"signature": "def create_from_discrim... | 3 | stack_v2_sparse_classes_30k_train_027601 | Implement the Python class `TimeBasedAttributeTrigger` described below.
Class description:
Implement the TimeBasedAttributeTrigger class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> TimeBasedAttributeTrigger: Creates a new instance of the appropriat... | Implement the Python class `TimeBasedAttributeTrigger` described below.
Class description:
Implement the TimeBasedAttributeTrigger class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> TimeBasedAttributeTrigger: Creates a new instance of the appropriat... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class TimeBasedAttributeTrigger:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> TimeBasedAttributeTrigger:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and c... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TimeBasedAttributeTrigger:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> TimeBasedAttributeTrigger:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the obje... | the_stack_v2_python_sparse | msgraph/generated/models/identity_governance/time_based_attribute_trigger.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
d8c11acbc8f175a47c59f4398647f52c71fe2e40 | [
"args = authorization_arguments.parse_args(request)\nclient = UserClient()\nuser = client.check_token(args.get('Authorization'))\nif not user:\n return (None, 401)\nreturn Order.get_opened_order(user['id'])",
"args = add_beer_arguments.parse_args(request)\nif args.get('quantity') <= 0:\n return (None, 400)\... | <|body_start_0|>
args = authorization_arguments.parse_args(request)
client = UserClient()
user = client.check_token(args.get('Authorization'))
if not user:
return (None, 401)
return Order.get_opened_order(user['id'])
<|end_body_0|>
<|body_start_1|>
args = add... | OrderItem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OrderItem:
def get(self):
"""Returns opened order of current user."""
<|body_0|>
def put(self):
"""Adds a quantity of beers to the opened order of current user."""
<|body_1|>
def delete(self):
"""Remove beers from the opened order of current user... | stack_v2_sparse_classes_75kplus_train_007393 | 4,248 | no_license | [
{
"docstring": "Returns opened order of current user.",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Adds a quantity of beers to the opened order of current user.",
"name": "put",
"signature": "def put(self)"
},
{
"docstring": "Remove beers from the opened order... | 3 | null | Implement the Python class `OrderItem` described below.
Class description:
Implement the OrderItem class.
Method signatures and docstrings:
- def get(self): Returns opened order of current user.
- def put(self): Adds a quantity of beers to the opened order of current user.
- def delete(self): Remove beers from the op... | Implement the Python class `OrderItem` described below.
Class description:
Implement the OrderItem class.
Method signatures and docstrings:
- def get(self): Returns opened order of current user.
- def put(self): Adds a quantity of beers to the opened order of current user.
- def delete(self): Remove beers from the op... | fd35e2bb6d1501110bf978ae51fff5910dfc631e | <|skeleton|>
class OrderItem:
def get(self):
"""Returns opened order of current user."""
<|body_0|>
def put(self):
"""Adds a quantity of beers to the opened order of current user."""
<|body_1|>
def delete(self):
"""Remove beers from the opened order of current user... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OrderItem:
def get(self):
"""Returns opened order of current user."""
args = authorization_arguments.parse_args(request)
client = UserClient()
user = client.check_token(args.get('Authorization'))
if not user:
return (None, 401)
return Order.get_opene... | the_stack_v2_python_sparse | orders/api/endpoints.py | batetopro/beers | train | 0 | |
9149e8529e0cbd1c0d3c9ecac23d921210c2f1fe | [
"cleaned_data = super(SensorForm, self).clean()\npin = cleaned_data['pin']\ntype_sensor = cleaned_data['type_sensor']\nsensors = Sensor.objects.filter(pin=pin)\npk = self.instance.pk\nif pk:\n sensors = sensors.exclude(pk=pk)\nif sensors:\n for sensor in sensors:\n if sensor.type_sensor in (sensor.AMBI... | <|body_start_0|>
cleaned_data = super(SensorForm, self).clean()
pin = cleaned_data['pin']
type_sensor = cleaned_data['type_sensor']
sensors = Sensor.objects.filter(pin=pin)
pk = self.instance.pk
if pk:
sensors = sensors.exclude(pk=pk)
if sensors:
... | . | SensorForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SensorForm:
"""."""
def clean(self):
"""Validate date."""
<|body_0|>
def __init__(self, user, *args, **kwargs):
"""."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
cleaned_data = super(SensorForm, self).clean()
pin = cleaned_data['pin']... | stack_v2_sparse_classes_75kplus_train_007394 | 2,262 | no_license | [
{
"docstring": "Validate date.",
"name": "clean",
"signature": "def clean(self)"
},
{
"docstring": ".",
"name": "__init__",
"signature": "def __init__(self, user, *args, **kwargs)"
}
] | 2 | null | Implement the Python class `SensorForm` described below.
Class description:
.
Method signatures and docstrings:
- def clean(self): Validate date.
- def __init__(self, user, *args, **kwargs): . | Implement the Python class `SensorForm` described below.
Class description:
.
Method signatures and docstrings:
- def clean(self): Validate date.
- def __init__(self, user, *args, **kwargs): .
<|skeleton|>
class SensorForm:
"""."""
def clean(self):
"""Validate date."""
<|body_0|>
def __... | 75ba60376f0d278ec54e6b6ac523324aa6b83f56 | <|skeleton|>
class SensorForm:
"""."""
def clean(self):
"""Validate date."""
<|body_0|>
def __init__(self, user, *args, **kwargs):
"""."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SensorForm:
"""."""
def clean(self):
"""Validate date."""
cleaned_data = super(SensorForm, self).clean()
pin = cleaned_data['pin']
type_sensor = cleaned_data['type_sensor']
sensors = Sensor.objects.filter(pin=pin)
pk = self.instance.pk
if pk:
... | the_stack_v2_python_sparse | app/gardenmatic/sensor/forms.py | reycab/gardenmatic | train | 0 |
5b82728ecdb8af261742df9cdf47c4237b1d2a6e | [
"assert resource and containerOsh\nosh = self._getBuilder().buildResource(resource)\nosh.setContainer(containerOsh)\nreturn osh",
"assert pdo and containerOsh\nosh = self._getBuilder().buildResourcePdo(pdo)\nosh.setContainer(containerOsh)\nreturn osh"
] | <|body_start_0|>
assert resource and containerOsh
osh = self._getBuilder().buildResource(resource)
osh.setContainer(containerOsh)
return osh
<|end_body_0|>
<|body_start_1|>
assert pdo and containerOsh
osh = self._getBuilder().buildResourcePdo(pdo)
osh.setContaine... | ResourceReporter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResourceReporter:
def reportResource(self, resource, containerOsh):
"""@types: Resource, ObjectStateHolder -> ObjectStateHolder"""
<|body_0|>
def reportResourcePdo(self, pdo, containerOsh):
"""@types: ResourceBuilder.Pdo, ObjectStateHolder -> ObjectStateHolder"""
... | stack_v2_sparse_classes_75kplus_train_007395 | 15,554 | no_license | [
{
"docstring": "@types: Resource, ObjectStateHolder -> ObjectStateHolder",
"name": "reportResource",
"signature": "def reportResource(self, resource, containerOsh)"
},
{
"docstring": "@types: ResourceBuilder.Pdo, ObjectStateHolder -> ObjectStateHolder",
"name": "reportResourcePdo",
"sign... | 2 | stack_v2_sparse_classes_30k_train_047997 | Implement the Python class `ResourceReporter` described below.
Class description:
Implement the ResourceReporter class.
Method signatures and docstrings:
- def reportResource(self, resource, containerOsh): @types: Resource, ObjectStateHolder -> ObjectStateHolder
- def reportResourcePdo(self, pdo, containerOsh): @type... | Implement the Python class `ResourceReporter` described below.
Class description:
Implement the ResourceReporter class.
Method signatures and docstrings:
- def reportResource(self, resource, containerOsh): @types: Resource, ObjectStateHolder -> ObjectStateHolder
- def reportResourcePdo(self, pdo, containerOsh): @type... | c431e809e8d0f82e1bca7e3429dd0245560b5680 | <|skeleton|>
class ResourceReporter:
def reportResource(self, resource, containerOsh):
"""@types: Resource, ObjectStateHolder -> ObjectStateHolder"""
<|body_0|>
def reportResourcePdo(self, pdo, containerOsh):
"""@types: ResourceBuilder.Pdo, ObjectStateHolder -> ObjectStateHolder"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResourceReporter:
def reportResource(self, resource, containerOsh):
"""@types: Resource, ObjectStateHolder -> ObjectStateHolder"""
assert resource and containerOsh
osh = self._getBuilder().buildResource(resource)
osh.setContainer(containerOsh)
return osh
def report... | the_stack_v2_python_sparse | reference/ucmdb/discovery/ms_cluster.py | madmonkyang/cda-record | train | 0 | |
9a587c363af0438435bfc46d2a9816ceb30c7fb9 | [
"\"\"\"\n\t\t- activation: #softmax\n\t\t type: leakyrelu # softmax\n\t\t alpha: 100\n\t\t\"\"\"\nsuper().__init__(*args, **kwargs)\nself.type = None",
"if not isinstance(self.args, dict):\n self.type = self.args\nelse:\n self.type = self.args['type']\nif self.type == 'leakyrelu':\n if 'alpha' ... | <|body_start_0|>
"""
- activation: #softmax
type: leakyrelu # softmax
alpha: 100
"""
super().__init__(*args, **kwargs)
self.type = None
<|end_body_0|>
<|body_start_1|>
if not isinstance(self.args, dict):
self.type = self.ar... | An activation layer. Some layers may include an 'activation' keyword. Those layers are intended to be equivalent to no-activation followed by this explicit activation layer. | Activation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Activation:
"""An activation layer. Some layers may include an 'activation' keyword. Those layers are intended to be equivalent to no-activation followed by this explicit activation layer."""
def __init__(self, *args, **kwargs):
"""Creates a new activation layer."""
<|body_0|... | stack_v2_sparse_classes_75kplus_train_007396 | 4,977 | no_license | [
{
"docstring": "Creates a new activation layer.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Parse the layer.",
"name": "_parse",
"signature": "def _parse(self, engine)"
},
{
"docstring": "Create the backend-specific placeholder.",
... | 4 | null | Implement the Python class `Activation` described below.
Class description:
An activation layer. Some layers may include an 'activation' keyword. Those layers are intended to be equivalent to no-activation followed by this explicit activation layer.
Method signatures and docstrings:
- def __init__(self, *args, **kwar... | Implement the Python class `Activation` described below.
Class description:
An activation layer. Some layers may include an 'activation' keyword. Those layers are intended to be equivalent to no-activation followed by this explicit activation layer.
Method signatures and docstrings:
- def __init__(self, *args, **kwar... | 8c30b6aabc5842092c18dd97a0c20aa19f62000f | <|skeleton|>
class Activation:
"""An activation layer. Some layers may include an 'activation' keyword. Those layers are intended to be equivalent to no-activation followed by this explicit activation layer."""
def __init__(self, *args, **kwargs):
"""Creates a new activation layer."""
<|body_0|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Activation:
"""An activation layer. Some layers may include an 'activation' keyword. Those layers are intended to be equivalent to no-activation followed by this explicit activation layer."""
def __init__(self, *args, **kwargs):
"""Creates a new activation layer."""
"""
- activa... | the_stack_v2_python_sparse | kur-projects/kur/z_tracking/added_features/add_activation.py | EmbraceLife/LIE | train | 4 |
7507b42bdf34b278f46632b261725fcead3e939f | [
"if not self.id:\n self.created = timezone.localtime(timezone.now())\nself.modified = timezone.localtime(timezone.now())\nself.calculate_date_next()\nreturn super(ScheduledOrder, self).save(*args, **kwargs)",
"now = timezone.localtime(timezone.now())\nif self.times > 0:\n self.date_next = now.date() + timez... | <|body_start_0|>
if not self.id:
self.created = timezone.localtime(timezone.now())
self.modified = timezone.localtime(timezone.now())
self.calculate_date_next()
return super(ScheduledOrder, self).save(*args, **kwargs)
<|end_body_0|>
<|body_start_1|>
now = timezone.lo... | ScheduledOrder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScheduledOrder:
def save(self, *args, **kwargs):
"""On save, update timestamps"""
<|body_0|>
def calculate_date_next(self):
"""if self.period == self.WEEKLY: self.days = 7 elif self.period == self.MONTHLY: self.days = 30"""
<|body_1|>
<|end_skeleton|>
<|bod... | stack_v2_sparse_classes_75kplus_train_007397 | 13,890 | no_license | [
{
"docstring": "On save, update timestamps",
"name": "save",
"signature": "def save(self, *args, **kwargs)"
},
{
"docstring": "if self.period == self.WEEKLY: self.days = 7 elif self.period == self.MONTHLY: self.days = 30",
"name": "calculate_date_next",
"signature": "def calculate_date_n... | 2 | stack_v2_sparse_classes_30k_val_000181 | Implement the Python class `ScheduledOrder` described below.
Class description:
Implement the ScheduledOrder class.
Method signatures and docstrings:
- def save(self, *args, **kwargs): On save, update timestamps
- def calculate_date_next(self): if self.period == self.WEEKLY: self.days = 7 elif self.period == self.MON... | Implement the Python class `ScheduledOrder` described below.
Class description:
Implement the ScheduledOrder class.
Method signatures and docstrings:
- def save(self, *args, **kwargs): On save, update timestamps
- def calculate_date_next(self): if self.period == self.WEEKLY: self.days = 7 elif self.period == self.MON... | c4f28a6080aa60b8248cfa4d6b36a083f24e7ccd | <|skeleton|>
class ScheduledOrder:
def save(self, *args, **kwargs):
"""On save, update timestamps"""
<|body_0|>
def calculate_date_next(self):
"""if self.period == self.WEEKLY: self.days = 7 elif self.period == self.MONTHLY: self.days = 30"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScheduledOrder:
def save(self, *args, **kwargs):
"""On save, update timestamps"""
if not self.id:
self.created = timezone.localtime(timezone.now())
self.modified = timezone.localtime(timezone.now())
self.calculate_date_next()
return super(ScheduledOrder, sel... | the_stack_v2_python_sparse | usuarios/models.py | InteractiveValley/djFarmApp | train | 0 | |
6c0da7cc92518ad56850358757ac147348052b6a | [
"self.pause_backup = pause_backup\nself.protected_source_uid = protected_source_uid\nself.rpo_policy_id = rpo_policy_id\nself.source_parameters = source_parameters",
"if dictionary is None:\n return None\npause_backup = dictionary.get('pauseBackup')\nprotected_source_uid = cohesity_management_sdk.models.univer... | <|body_start_0|>
self.pause_backup = pause_backup
self.protected_source_uid = protected_source_uid
self.rpo_policy_id = rpo_policy_id
self.source_parameters = source_parameters
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
pause_backup = ... | Implementation of the 'UpdateProtectionObjectParameters' model. Specifies the parameters to update a Protection Object. Attributes: pause_backup (bool): Specifies if the protection for the Protection Object is to be paused. protected_source_uid (UniversalId, required): Specifies the unique id of the Protected Source to... | UpdateProtectionObjectParameters | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateProtectionObjectParameters:
"""Implementation of the 'UpdateProtectionObjectParameters' model. Specifies the parameters to update a Protection Object. Attributes: pause_backup (bool): Specifies if the protection for the Protection Object is to be paused. protected_source_uid (UniversalId, r... | stack_v2_sparse_classes_75kplus_train_007398 | 3,048 | permissive | [
{
"docstring": "Constructor for the UpdateProtectionObjectParameters class",
"name": "__init__",
"signature": "def __init__(self, pause_backup=None, protected_source_uid=None, rpo_policy_id=None, source_parameters=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args... | 2 | stack_v2_sparse_classes_30k_train_004048 | Implement the Python class `UpdateProtectionObjectParameters` described below.
Class description:
Implementation of the 'UpdateProtectionObjectParameters' model. Specifies the parameters to update a Protection Object. Attributes: pause_backup (bool): Specifies if the protection for the Protection Object is to be pause... | Implement the Python class `UpdateProtectionObjectParameters` described below.
Class description:
Implementation of the 'UpdateProtectionObjectParameters' model. Specifies the parameters to update a Protection Object. Attributes: pause_backup (bool): Specifies if the protection for the Protection Object is to be pause... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class UpdateProtectionObjectParameters:
"""Implementation of the 'UpdateProtectionObjectParameters' model. Specifies the parameters to update a Protection Object. Attributes: pause_backup (bool): Specifies if the protection for the Protection Object is to be paused. protected_source_uid (UniversalId, r... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UpdateProtectionObjectParameters:
"""Implementation of the 'UpdateProtectionObjectParameters' model. Specifies the parameters to update a Protection Object. Attributes: pause_backup (bool): Specifies if the protection for the Protection Object is to be paused. protected_source_uid (UniversalId, required): Spe... | the_stack_v2_python_sparse | cohesity_management_sdk/models/update_protection_object_parameters.py | cohesity/management-sdk-python | train | 24 |
85be6638fbe1047c8329aba0fa1aea4135867951 | [
"Controller.__init__(self, params)\nself.E_k = 0\nself.e_k_1 = 0",
"self.kp = params.kp\nself.ki = params.ki\nself.kd = params.kd",
"x_g, y_g = (state.goal.x, state.goal.y)\nx_r, y_r, theta = state.pose\ne_k = math.atan2(y_g - y_r, x_g - x_r) - theta\ne_k = math.atan2(math.sin(e_k), math.cos(e_k))\nself.E_k += ... | <|body_start_0|>
Controller.__init__(self, params)
self.E_k = 0
self.e_k_1 = 0
<|end_body_0|>
<|body_start_1|>
self.kp = params.kp
self.ki = params.ki
self.kd = params.kd
<|end_body_1|>
<|body_start_2|>
x_g, y_g = (state.goal.x, state.goal.y)
x_r, y_r, t... | Example of PID implementation for goal-seek | GoToGoal | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoToGoal:
"""Example of PID implementation for goal-seek"""
def __init__(self, params):
"""init @params:"""
<|body_0|>
def set_parameters(self, params):
"""Set the PID Values @params: (float) kp, ki, kd"""
<|body_1|>
def execute(self, state, dt):
... | stack_v2_sparse_classes_75kplus_train_007399 | 1,591 | no_license | [
{
"docstring": "init @params:",
"name": "__init__",
"signature": "def __init__(self, params)"
},
{
"docstring": "Set the PID Values @params: (float) kp, ki, kd",
"name": "set_parameters",
"signature": "def set_parameters(self, params)"
},
{
"docstring": "Executes the controller b... | 3 | stack_v2_sparse_classes_30k_train_038444 | Implement the Python class `GoToGoal` described below.
Class description:
Example of PID implementation for goal-seek
Method signatures and docstrings:
- def __init__(self, params): init @params:
- def set_parameters(self, params): Set the PID Values @params: (float) kp, ki, kd
- def execute(self, state, dt): Execute... | Implement the Python class `GoToGoal` described below.
Class description:
Example of PID implementation for goal-seek
Method signatures and docstrings:
- def __init__(self, params): init @params:
- def set_parameters(self, params): Set the PID Values @params: (float) kp, ki, kd
- def execute(self, state, dt): Execute... | 4b2c92086d48cb7297793998714eded968674df0 | <|skeleton|>
class GoToGoal:
"""Example of PID implementation for goal-seek"""
def __init__(self, params):
"""init @params:"""
<|body_0|>
def set_parameters(self, params):
"""Set the PID Values @params: (float) kp, ki, kd"""
<|body_1|>
def execute(self, state, dt):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GoToGoal:
"""Example of PID implementation for goal-seek"""
def __init__(self, params):
"""init @params:"""
Controller.__init__(self, params)
self.E_k = 0
self.e_k_1 = 0
def set_parameters(self, params):
"""Set the PID Values @params: (float) kp, ki, kd"""
... | the_stack_v2_python_sparse | controllers/gotogoal.py | jamesclyeh/pysimiam | train | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.