blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a00d4df0b1f571334edd602248b4a47e65d0e4cb | [
"self._dbg = debug\nself._log = get_logger(self.__class__.__name__, self._dbg)\nself._log.debug('wav_topdir=%s, wav_subdir=%s', wav_topdir, wav_subdir)\nself._log.debug('wav_prefix=%s, wav_suffix=%s', wav_prefix, wav_suffix)\nself._log.debug('note_origin=%s', note_origin)\nself._wav_topdir = wav_topdir\nself._wav_s... | <|body_start_0|>
self._dbg = debug
self._log = get_logger(self.__class__.__name__, self._dbg)
self._log.debug('wav_topdir=%s, wav_subdir=%s', wav_topdir, wav_subdir)
self._log.debug('wav_prefix=%s, wav_suffix=%s', wav_prefix, wav_suffix)
self._log.debug('note_origin=%s', note_ori... | Play wav_file insted of music box movement. Music Boxと同じ音階 | MovementWav1 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MovementWav1:
"""Play wav_file insted of music box movement. Music Boxと同じ音階"""
def __init__(self, wav_topdir=DEF_WAV_TOPDIR, wav_subdir=DEF_WAV_SUBDIR, wav_prefix=WAV_FILE_PREFIX, wav_suffix=WAV_FILE_SUFFIX, note_origin=NOTE_ORIGIN, debug=False):
"""Constructor Parameters ---------- ... | stack_v2_sparse_classes_36k_train_000000 | 13,175 | no_license | [
{
"docstring": "Constructor Parameters ---------- wav_topdir: str wav_subdir: str directory name wav_prefix: str wav_suffix: str note_origin: int",
"name": "__init__",
"signature": "def __init__(self, wav_topdir=DEF_WAV_TOPDIR, wav_subdir=DEF_WAV_SUBDIR, wav_prefix=WAV_FILE_PREFIX, wav_suffix=WAV_FILE_S... | 4 | stack_v2_sparse_classes_30k_train_014746 | Implement the Python class `MovementWav1` described below.
Class description:
Play wav_file insted of music box movement. Music Boxと同じ音階
Method signatures and docstrings:
- def __init__(self, wav_topdir=DEF_WAV_TOPDIR, wav_subdir=DEF_WAV_SUBDIR, wav_prefix=WAV_FILE_PREFIX, wav_suffix=WAV_FILE_SUFFIX, note_origin=NOTE... | Implement the Python class `MovementWav1` described below.
Class description:
Play wav_file insted of music box movement. Music Boxと同じ音階
Method signatures and docstrings:
- def __init__(self, wav_topdir=DEF_WAV_TOPDIR, wav_subdir=DEF_WAV_SUBDIR, wav_prefix=WAV_FILE_PREFIX, wav_suffix=WAV_FILE_SUFFIX, note_origin=NOTE... | b8264118d19c7f6c6be9b11f18c890c598eb1295 | <|skeleton|>
class MovementWav1:
"""Play wav_file insted of music box movement. Music Boxと同じ音階"""
def __init__(self, wav_topdir=DEF_WAV_TOPDIR, wav_subdir=DEF_WAV_SUBDIR, wav_prefix=WAV_FILE_PREFIX, wav_suffix=WAV_FILE_SUFFIX, note_origin=NOTE_ORIGIN, debug=False):
"""Constructor Parameters ---------- ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MovementWav1:
"""Play wav_file insted of music box movement. Music Boxと同じ音階"""
def __init__(self, wav_topdir=DEF_WAV_TOPDIR, wav_subdir=DEF_WAV_SUBDIR, wav_prefix=WAV_FILE_PREFIX, wav_suffix=WAV_FILE_SUFFIX, note_origin=NOTE_ORIGIN, debug=False):
"""Constructor Parameters ---------- wav_topdir: s... | the_stack_v2_python_sparse | musicbox/movement.py | ytani01/MusicBox | train | 1 |
f4874f85eec9abb47eeabd0a1174b52049cf5361 | [
"self.report = report_document\nself.text_input = text_input_document\nself.text_input_soup = text_input_soup\nself.tables = list_of_tables\nself.picture_paths = picture_paths_list\nself.parameters = parameters_dictionary\nself.cGOM_dataframes = list_of_dataframes",
"all_transitions = pd.DataFrame()\nfor idx, dat... | <|body_start_0|>
self.report = report_document
self.text_input = text_input_document
self.text_input_soup = text_input_soup
self.tables = list_of_tables
self.picture_paths = picture_paths_list
self.parameters = parameters_dictionary
self.cGOM_dataframes = list_of_... | Class that represents the 'Transitions' chapter and the visualization of its results. | Transitions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Transitions:
"""Class that represents the 'Transitions' chapter and the visualization of its results."""
def __init__(self, report_document: Document, text_input_document: Document, text_input_soup: BeautifulSoup, list_of_tables: List[str], picture_paths_list: List[str], parameters_dictionar... | stack_v2_sparse_classes_36k_train_000001 | 6,508 | no_license | [
{
"docstring": "Args: report_document: .docx file where the report is written. text_input_document: .docx file where all inputs are written. text_input_soup: BeautifulSoup of the xml of the input .docx file. list_of_tables: List of all table names. picture_paths_list: List of the path of all input pictures. par... | 3 | stack_v2_sparse_classes_30k_train_009976 | Implement the Python class `Transitions` described below.
Class description:
Class that represents the 'Transitions' chapter and the visualization of its results.
Method signatures and docstrings:
- def __init__(self, report_document: Document, text_input_document: Document, text_input_soup: BeautifulSoup, list_of_ta... | Implement the Python class `Transitions` described below.
Class description:
Class that represents the 'Transitions' chapter and the visualization of its results.
Method signatures and docstrings:
- def __init__(self, report_document: Document, text_input_document: Document, text_input_soup: BeautifulSoup, list_of_ta... | f0ce3f75756be5a1b377474882b66293be8ed5ac | <|skeleton|>
class Transitions:
"""Class that represents the 'Transitions' chapter and the visualization of its results."""
def __init__(self, report_document: Document, text_input_document: Document, text_input_soup: BeautifulSoup, list_of_tables: List[str], picture_paths_list: List[str], parameters_dictionar... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Transitions:
"""Class that represents the 'Transitions' chapter and the visualization of its results."""
def __init__(self, report_document: Document, text_input_document: Document, text_input_soup: BeautifulSoup, list_of_tables: List[str], picture_paths_list: List[str], parameters_dictionary: Dict[str, ... | the_stack_v2_python_sparse | docx_package/transitions.py | how2know/Usability_Testing_Report_Generator | train | 0 |
2ffdfcad09525fc2408a45fffcdceed962ef9171 | [
"for app_region in self.app.regions.values():\n app_region.instance_max = 1\n app_region.volumes['data0'] = {'count': 1, 'size': 1}\n laika_service = app_region.services['laika']\n laika_service.volumes['/mnt/data0'] = '/mnt/data'\n laika_service.environment['DISK_PATH'] = '/mnt/data/file.txt'\nself.... | <|body_start_0|>
for app_region in self.app.regions.values():
app_region.instance_max = 1
app_region.volumes['data0'] = {'count': 1, 'size': 1}
laika_service = app_region.services['laika']
laika_service.volumes['/mnt/data0'] = '/mnt/data'
laika_service... | TestDeployPersistence | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestDeployPersistence:
def test_01_disk(self):
"""Deploy a service with persistent EBS volume, verify."""
<|body_0|>
def test_02_cache(self):
"""Deploy a service with ElastiCache, verify."""
<|body_1|>
def test_03_rds(self):
"""Deploy a service w... | stack_v2_sparse_classes_36k_train_000002 | 2,156 | permissive | [
{
"docstring": "Deploy a service with persistent EBS volume, verify.",
"name": "test_01_disk",
"signature": "def test_01_disk(self)"
},
{
"docstring": "Deploy a service with ElastiCache, verify.",
"name": "test_02_cache",
"signature": "def test_02_cache(self)"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_train_010851 | Implement the Python class `TestDeployPersistence` described below.
Class description:
Implement the TestDeployPersistence class.
Method signatures and docstrings:
- def test_01_disk(self): Deploy a service with persistent EBS volume, verify.
- def test_02_cache(self): Deploy a service with ElastiCache, verify.
- def... | Implement the Python class `TestDeployPersistence` described below.
Class description:
Implement the TestDeployPersistence class.
Method signatures and docstrings:
- def test_01_disk(self): Deploy a service with persistent EBS volume, verify.
- def test_02_cache(self): Deploy a service with ElastiCache, verify.
- def... | 900b8ada0017f727163c5c2ae464e17d747ba0e8 | <|skeleton|>
class TestDeployPersistence:
def test_01_disk(self):
"""Deploy a service with persistent EBS volume, verify."""
<|body_0|>
def test_02_cache(self):
"""Deploy a service with ElastiCache, verify."""
<|body_1|>
def test_03_rds(self):
"""Deploy a service w... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestDeployPersistence:
def test_01_disk(self):
"""Deploy a service with persistent EBS volume, verify."""
for app_region in self.app.regions.values():
app_region.instance_max = 1
app_region.volumes['data0'] = {'count': 1, 'size': 1}
laika_service = app_regio... | the_stack_v2_python_sparse | src/test_integ/test_persistence.py | tom9nguyen/spacel-provision | train | 0 | |
4cee1c7203949459bdb962e64818dc09786487ae | [
"stack = [-1]\nret = 0\nfor i, p in enumerate(s):\n if p == '(':\n stack.append(i)\n else:\n stack.pop()\n if stack:\n ret = max(ret, i - stack[-1])\n else:\n stack.append(i)\nreturn ret",
"ret = 0\nleft = right = 0\nfor i in range(len(s)):\n if s[i] == '... | <|body_start_0|>
stack = [-1]
ret = 0
for i, p in enumerate(s):
if p == '(':
stack.append(i)
else:
stack.pop()
if stack:
ret = max(ret, i - stack[-1])
else:
stack.appen... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def longestValidParentheses_1(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
stack = [-1]
ret = 0
for i,... | stack_v2_sparse_classes_36k_train_000003 | 1,951 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "longestValidParentheses",
"signature": "def longestValidParentheses(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "longestValidParentheses_1",
"signature": "def longestValidParentheses_1(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012030 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s): :type s: str :rtype: int
- def longestValidParentheses_1(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s): :type s: str :rtype: int
- def longestValidParentheses_1(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def longestVa... | 9fa6f81d8968dea51c255a6f92708cfc6bafb057 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def longestValidParentheses_1(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int"""
stack = [-1]
ret = 0
for i, p in enumerate(s):
if p == '(':
stack.append(i)
else:
stack.pop()
if stack:
ret... | the_stack_v2_python_sparse | 32. Longest Valid Parentheses.py | ChihaoFeng/Leetcode | train | 0 | |
a61eb8948b43b30a5bb9d95e5418b3963317fedb | [
"webob.exc.HTTPError.__init__(self, detail=detail)\nserializer = serializers.XMLResponseSerializer()\nserializer.default(self, self.get_unserialized_body())",
"if self.detail:\n message = ':'.join([self.explanation, self.detail])\nelse:\n message = self.explanation\nreturn {'ErrorResponse': {'Error': {'Type... | <|body_start_0|>
webob.exc.HTTPError.__init__(self, detail=detail)
serializer = serializers.XMLResponseSerializer()
serializer.default(self, self.get_unserialized_body())
<|end_body_0|>
<|body_start_1|>
if self.detail:
message = ':'.join([self.explanation, self.detail])
... | webob HTTPError subclass that creates a serialized body. Subclass webob HTTPError so we can correctly serialize the wsgi response into the http response body, using the format specified by the request. Note this should not be used directly, instead use the subclasses defined below which map to AWS API errors. | HeatAPIException | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HeatAPIException:
"""webob HTTPError subclass that creates a serialized body. Subclass webob HTTPError so we can correctly serialize the wsgi response into the http response body, using the format specified by the request. Note this should not be used directly, instead use the subclasses defined ... | stack_v2_sparse_classes_36k_train_000004 | 10,462 | permissive | [
{
"docstring": "Overload HTTPError constructor to create a default serialized body. This is required because not all error responses are processed by the wsgi controller (such as auth errors), which are further up the paste pipeline. We serialize in XML by default (as AWS does).",
"name": "__init__",
"s... | 2 | null | Implement the Python class `HeatAPIException` described below.
Class description:
webob HTTPError subclass that creates a serialized body. Subclass webob HTTPError so we can correctly serialize the wsgi response into the http response body, using the format specified by the request. Note this should not be used direct... | Implement the Python class `HeatAPIException` described below.
Class description:
webob HTTPError subclass that creates a serialized body. Subclass webob HTTPError so we can correctly serialize the wsgi response into the http response body, using the format specified by the request. Note this should not be used direct... | aad322c705b338af52cccbbe1d100e9e885c08ea | <|skeleton|>
class HeatAPIException:
"""webob HTTPError subclass that creates a serialized body. Subclass webob HTTPError so we can correctly serialize the wsgi response into the http response body, using the format specified by the request. Note this should not be used directly, instead use the subclasses defined ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HeatAPIException:
"""webob HTTPError subclass that creates a serialized body. Subclass webob HTTPError so we can correctly serialize the wsgi response into the http response body, using the format specified by the request. Note this should not be used directly, instead use the subclasses defined below which m... | the_stack_v2_python_sparse | heat/api/aws/exception.py | containers-kraken/heat | train | 1 |
fad7bcfc3cad488dcc8ecfc419219d994157af07 | [
"self.matrix = [[0 for j in range(len(matrix[0]) + 1)] for i in range(len(matrix))]\nfor i in range(len(matrix)):\n sum_1 = 0\n for j in range(len(matrix[0]))[::-1]:\n sum_1 += matrix[i][j]\n self.matrix[i][j] = sum_1\nprint(self.matrix)",
"sum_1 = 0\nfor i in range(row1, row2 + 1):\n sum_1... | <|body_start_0|>
self.matrix = [[0 for j in range(len(matrix[0]) + 1)] for i in range(len(matrix))]
for i in range(len(matrix)):
sum_1 = 0
for j in range(len(matrix[0]))[::-1]:
sum_1 += matrix[i][j]
self.matrix[i][j] = sum_1
print(self.matr... | NumMatrix | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def sumRegion(self, row1, col1, row2, col2):
""":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int 196ms"""
<|body_1|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_36k_train_000005 | 2,823 | no_license | [
{
"docstring": ":type matrix: List[List[int]]",
"name": "__init__",
"signature": "def __init__(self, matrix)"
},
{
"docstring": ":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int 196ms",
"name": "sumRegion",
"signature": "def sumRegion(self, row1, col1, row2, co... | 2 | null | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def sumRegion(self, row1, col1, row2, col2): :type row1: int :type col1: int :type row2: int :type col2: int :rtype:... | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def sumRegion(self, row1, col1, row2, col2): :type row1: int :type col1: int :type row2: int :type col2: int :rtype:... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def sumRegion(self, row1, col1, row2, col2):
""":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int 196ms"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
self.matrix = [[0 for j in range(len(matrix[0]) + 1)] for i in range(len(matrix))]
for i in range(len(matrix)):
sum_1 = 0
for j in range(len(matrix[0]))[::-1]:
sum_1 += ma... | the_stack_v2_python_sparse | RangeSumQuery2D_Immutable_MID_304.py | 953250587/leetcode-python | train | 2 | |
999a61f93d2581b13955c545b04f3e7f65dfdbb5 | [
"if self.barcamp is None:\n return self.render(page=self.page, slug='___', page_slug=page_slug)\nelse:\n return self.render(page=self.page, page_slug=page_slug, **self.barcamp)",
"filename = self.request.headers.get('X-File-Name', 'unbekannt')\ncontent_type = self.request.headers.get('X-Mime-Type', 'applica... | <|body_start_0|>
if self.barcamp is None:
return self.render(page=self.page, slug='___', page_slug=page_slug)
else:
return self.render(page=self.page, page_slug=page_slug, **self.barcamp)
<|end_body_0|>
<|body_start_1|>
filename = self.request.headers.get('X-File-Name', ... | a view for uploading a page image (display is separate because the URL might be served directly by the web server | ImageUpload | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImageUpload:
"""a view for uploading a page image (display is separate because the URL might be served directly by the web server"""
def get(self, slug=None, page_slug=None):
"""return the contents for the image upload view"""
<|body_0|>
def post(self, slug=None, page_sl... | stack_v2_sparse_classes_36k_train_000006 | 3,230 | permissive | [
{
"docstring": "return the contents for the image upload view",
"name": "get",
"signature": "def get(self, slug=None, page_slug=None)"
},
{
"docstring": "upload an image for a page",
"name": "post",
"signature": "def post(self, slug=None, page_slug=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017657 | Implement the Python class `ImageUpload` described below.
Class description:
a view for uploading a page image (display is separate because the URL might be served directly by the web server
Method signatures and docstrings:
- def get(self, slug=None, page_slug=None): return the contents for the image upload view
- d... | Implement the Python class `ImageUpload` described below.
Class description:
a view for uploading a page image (display is separate because the URL might be served directly by the web server
Method signatures and docstrings:
- def get(self, slug=None, page_slug=None): return the contents for the image upload view
- d... | 9b45664e46c451b2cbe00bb55583b043e769083d | <|skeleton|>
class ImageUpload:
"""a view for uploading a page image (display is separate because the URL might be served directly by the web server"""
def get(self, slug=None, page_slug=None):
"""return the contents for the image upload view"""
<|body_0|>
def post(self, slug=None, page_sl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ImageUpload:
"""a view for uploading a page image (display is separate because the URL might be served directly by the web server"""
def get(self, slug=None, page_slug=None):
"""return the contents for the image upload view"""
if self.barcamp is None:
return self.render(page=s... | the_stack_v2_python_sparse | camper/pages/images.py | comlounge/camper | train | 14 |
b3dba2e092cc0c1ebbaacd99286be1a6a7cbea57 | [
"self.enterTuangou(self.s_name)\nself.swipe_to_down(1)\nsleep(2)\nself.assertTrue(self.check_icon(self.s_name))",
"self.enterTuangou(self.s_name)\nself.swipe_to_down(1)\nself.enter_fist_goods_datil_page(self.s_name)\ns_goods_title = self.setCollected(self.s_name)\nself.press_back_by_keycode()\nself.press_back()\n... | <|body_start_0|>
self.enterTuangou(self.s_name)
self.swipe_to_down(1)
sleep(2)
self.assertTrue(self.check_icon(self.s_name))
<|end_body_0|>
<|body_start_1|>
self.enterTuangou(self.s_name)
self.swipe_to_down(1)
self.enter_fist_goods_datil_page(self.s_name)
... | TChaoJi | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TChaoJi:
def test_goods_icon(self):
"""超级团_团购标签验证"""
<|body_0|>
def test_collect(self):
"""超级团_收藏功能"""
<|body_1|>
def test_customer_service(self):
"""超级团_发送客服消息验证"""
<|body_2|>
def test_separately_buy(self):
"""超级团_去参团_"""
... | stack_v2_sparse_classes_36k_train_000007 | 1,854 | no_license | [
{
"docstring": "超级团_团购标签验证",
"name": "test_goods_icon",
"signature": "def test_goods_icon(self)"
},
{
"docstring": "超级团_收藏功能",
"name": "test_collect",
"signature": "def test_collect(self)"
},
{
"docstring": "超级团_发送客服消息验证",
"name": "test_customer_service",
"signature": "de... | 4 | stack_v2_sparse_classes_30k_train_018265 | Implement the Python class `TChaoJi` described below.
Class description:
Implement the TChaoJi class.
Method signatures and docstrings:
- def test_goods_icon(self): 超级团_团购标签验证
- def test_collect(self): 超级团_收藏功能
- def test_customer_service(self): 超级团_发送客服消息验证
- def test_separately_buy(self): 超级团_去参团_ | Implement the Python class `TChaoJi` described below.
Class description:
Implement the TChaoJi class.
Method signatures and docstrings:
- def test_goods_icon(self): 超级团_团购标签验证
- def test_collect(self): 超级团_收藏功能
- def test_customer_service(self): 超级团_发送客服消息验证
- def test_separately_buy(self): 超级团_去参团_
<|skeleton|>
cla... | b2066139eb0723eff69d971589b283b4b776c84c | <|skeleton|>
class TChaoJi:
def test_goods_icon(self):
"""超级团_团购标签验证"""
<|body_0|>
def test_collect(self):
"""超级团_收藏功能"""
<|body_1|>
def test_customer_service(self):
"""超级团_发送客服消息验证"""
<|body_2|>
def test_separately_buy(self):
"""超级团_去参团_"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TChaoJi:
def test_goods_icon(self):
"""超级团_团购标签验证"""
self.enterTuangou(self.s_name)
self.swipe_to_down(1)
sleep(2)
self.assertTrue(self.check_icon(self.s_name))
def test_collect(self):
"""超级团_收藏功能"""
self.enterTuangou(self.s_name)
self.swipe... | the_stack_v2_python_sparse | TestCase/4_5/TC_tuan_gou/test_chao_ji.py | testerSunshine/auto_md | train | 4 | |
8205a16ff6a512078836ce840439b8ea4b515f76 | [
"self.check_parameters(params)\nct = np.cos(params[0] / 2)\nst = np.sin(params[0] / 2)\ncp = np.cos(params[1])\nsp = np.sin(params[1])\ncl = np.cos(params[2])\nsl = np.sin(params[2])\ncg = np.cos(params[3])\nsg = np.sin(params[3])\nel = cl + 1j * sl\nep = cp + 1j * sp\neg = cg + 1j * sg\nreturn UnitaryMatrix([[1, 0... | <|body_start_0|>
self.check_parameters(params)
ct = np.cos(params[0] / 2)
st = np.sin(params[0] / 2)
cp = np.cos(params[1])
sp = np.sin(params[1])
cl = np.cos(params[2])
sl = np.sin(params[2])
cg = np.cos(params[3])
sg = np.sin(params[3])
e... | A gate representing an arbitrary controlled rotation. It is given by the following parameterized unitary: .. math:: \\begin{pmatrix} 1 & 0 & 0 & 0 \\\\ 0 & 1 & 0 & 0 \\\\ 0 & 0 & \\exp{i\\gamma}cos(\\frac{\\theta}{2}) & -\\exp{i(\\gamma + \\lambda)}sin(\\frac{\\theta}{2}) \\\\ 0 & 0 & \\exp{i(\\gamma + \\phi)}sin(\\fra... | CUGate | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CUGate:
"""A gate representing an arbitrary controlled rotation. It is given by the following parameterized unitary: .. math:: \\begin{pmatrix} 1 & 0 & 0 & 0 \\\\ 0 & 1 & 0 & 0 \\\\ 0 & 0 & \\exp{i\\gamma}cos(\\frac{\\theta}{2}) & -\\exp{i(\\gamma + \\lambda)}sin(\\frac{\\theta}{2}) \\\\ 0 & 0 & ... | stack_v2_sparse_classes_36k_train_000008 | 3,439 | permissive | [
{
"docstring": "Return the unitary for this gate, see :class:`Unitary` for more.",
"name": "get_unitary",
"signature": "def get_unitary(self, params: RealVector=[]) -> UnitaryMatrix"
},
{
"docstring": "Return the gradient for this gate. See :class:`DifferentiableUnitary` for more info.",
"na... | 2 | null | Implement the Python class `CUGate` described below.
Class description:
A gate representing an arbitrary controlled rotation. It is given by the following parameterized unitary: .. math:: \\begin{pmatrix} 1 & 0 & 0 & 0 \\\\ 0 & 1 & 0 & 0 \\\\ 0 & 0 & \\exp{i\\gamma}cos(\\frac{\\theta}{2}) & -\\exp{i(\\gamma + \\lambda... | Implement the Python class `CUGate` described below.
Class description:
A gate representing an arbitrary controlled rotation. It is given by the following parameterized unitary: .. math:: \\begin{pmatrix} 1 & 0 & 0 & 0 \\\\ 0 & 1 & 0 & 0 \\\\ 0 & 0 & \\exp{i\\gamma}cos(\\frac{\\theta}{2}) & -\\exp{i(\\gamma + \\lambda... | c89112d15072e8ffffb68cf1757b184e2aeb3dc8 | <|skeleton|>
class CUGate:
"""A gate representing an arbitrary controlled rotation. It is given by the following parameterized unitary: .. math:: \\begin{pmatrix} 1 & 0 & 0 & 0 \\\\ 0 & 1 & 0 & 0 \\\\ 0 & 0 & \\exp{i\\gamma}cos(\\frac{\\theta}{2}) & -\\exp{i(\\gamma + \\lambda)}sin(\\frac{\\theta}{2}) \\\\ 0 & 0 & ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CUGate:
"""A gate representing an arbitrary controlled rotation. It is given by the following parameterized unitary: .. math:: \\begin{pmatrix} 1 & 0 & 0 & 0 \\\\ 0 & 1 & 0 & 0 \\\\ 0 & 0 & \\exp{i\\gamma}cos(\\frac{\\theta}{2}) & -\\exp{i(\\gamma + \\lambda)}sin(\\frac{\\theta}{2}) \\\\ 0 & 0 & \\exp{i(\\gam... | the_stack_v2_python_sparse | bqskit/ir/gates/parameterized/cu.py | BQSKit/bqskit | train | 54 |
4f8978fd0fcefd9e86a2f524e432f64d393f19d9 | [
"if DEBUG and dist.is_initialized() and (dist.get_rank() == 0):\n print('DEBUG trigger fwd')\nctx.save_for_backward(w, trigger_tensor)\nreturn w",
"if DEBUG and dist.is_initialized() and (dist.get_rank() == 0):\n print('DEBUG trigger bwd')\nassert len(args) == 1\nw, trigger = ctx.saved_tensors\nassert w.req... | <|body_start_0|>
if DEBUG and dist.is_initialized() and (dist.get_rank() == 0):
print('DEBUG trigger fwd')
ctx.save_for_backward(w, trigger_tensor)
return w
<|end_body_0|>
<|body_start_1|>
if DEBUG and dist.is_initialized() and (dist.get_rank() == 0):
print('DEBU... | A backward trigger function. | BackwardTriggerFn | [
"Apache-2.0",
"MIT",
"BSD-3-Clause",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BackwardTriggerFn:
"""A backward trigger function."""
def forward(ctx: Any, w: torch.Tensor, trigger_tensor: torch.Tensor) -> torch.Tensor:
"""We take a weight tensor and the trigger as inputs and output the weight directly."""
<|body_0|>
def backward(ctx: Any, *args: An... | stack_v2_sparse_classes_36k_train_000009 | 25,261 | permissive | [
{
"docstring": "We take a weight tensor and the trigger as inputs and output the weight directly.",
"name": "forward",
"signature": "def forward(ctx: Any, w: torch.Tensor, trigger_tensor: torch.Tensor) -> torch.Tensor"
},
{
"docstring": "We return zero grad for the trigger only.",
"name": "b... | 2 | null | Implement the Python class `BackwardTriggerFn` described below.
Class description:
A backward trigger function.
Method signatures and docstrings:
- def forward(ctx: Any, w: torch.Tensor, trigger_tensor: torch.Tensor) -> torch.Tensor: We take a weight tensor and the trigger as inputs and output the weight directly.
- ... | Implement the Python class `BackwardTriggerFn` described below.
Class description:
A backward trigger function.
Method signatures and docstrings:
- def forward(ctx: Any, w: torch.Tensor, trigger_tensor: torch.Tensor) -> torch.Tensor: We take a weight tensor and the trigger as inputs and output the weight directly.
- ... | 164cc0f3170b4a3951dd84dda29c3e1504ac4d6e | <|skeleton|>
class BackwardTriggerFn:
"""A backward trigger function."""
def forward(ctx: Any, w: torch.Tensor, trigger_tensor: torch.Tensor) -> torch.Tensor:
"""We take a weight tensor and the trigger as inputs and output the weight directly."""
<|body_0|>
def backward(ctx: Any, *args: An... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BackwardTriggerFn:
"""A backward trigger function."""
def forward(ctx: Any, w: torch.Tensor, trigger_tensor: torch.Tensor) -> torch.Tensor:
"""We take a weight tensor and the trigger as inputs and output the weight directly."""
if DEBUG and dist.is_initialized() and (dist.get_rank() == 0)... | the_stack_v2_python_sparse | fairscale/experimental/nn/mevo.py | facebookresearch/fairscale | train | 2,553 |
331e2ff3c5f8d31e5f2a7d34eded954dca5e6759 | [
"bert = BertModel.shared(config=config, name='bert')\nsequence_output, pooled_output = bert(input_ids, input_mask, type_ids, deterministic=deterministic)\nif masked_lm_positions is None:\n return (sequence_output, pooled_output)\nmasked_lm_input = GatherIndexes(sequence_output, masked_lm_positions)\nmasked_lm_in... | <|body_start_0|>
bert = BertModel.shared(config=config, name='bert')
sequence_output, pooled_output = bert(input_ids, input_mask, type_ids, deterministic=deterministic)
if masked_lm_positions is None:
return (sequence_output, pooled_output)
masked_lm_input = GatherIndexes(seq... | Bert model for pre-training. | BertForPreTraining | [
"CC-BY-4.0",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BertForPreTraining:
"""Bert model for pre-training."""
def apply(self, input_ids, input_mask, type_ids, masked_lm_positions=None, masked_lm_labels=None, masked_lm_weights=None, next_sentence_labels=None, *, config, deterministic=False):
"""Applies BERT for pre-training."""
<|... | stack_v2_sparse_classes_36k_train_000010 | 8,883 | permissive | [
{
"docstring": "Applies BERT for pre-training.",
"name": "apply",
"signature": "def apply(self, input_ids, input_mask, type_ids, masked_lm_positions=None, masked_lm_labels=None, masked_lm_weights=None, next_sentence_labels=None, *, config, deterministic=False)"
},
{
"docstring": "Computes the pr... | 2 | stack_v2_sparse_classes_30k_train_002941 | Implement the Python class `BertForPreTraining` described below.
Class description:
Bert model for pre-training.
Method signatures and docstrings:
- def apply(self, input_ids, input_mask, type_ids, masked_lm_positions=None, masked_lm_labels=None, masked_lm_weights=None, next_sentence_labels=None, *, config, determini... | Implement the Python class `BertForPreTraining` described below.
Class description:
Bert model for pre-training.
Method signatures and docstrings:
- def apply(self, input_ids, input_mask, type_ids, masked_lm_positions=None, masked_lm_labels=None, masked_lm_weights=None, next_sentence_labels=None, *, config, determini... | 0714e9a5a3934d922c0b9dd017943a8e511eb5bc | <|skeleton|>
class BertForPreTraining:
"""Bert model for pre-training."""
def apply(self, input_ids, input_mask, type_ids, masked_lm_positions=None, masked_lm_labels=None, masked_lm_weights=None, next_sentence_labels=None, *, config, deterministic=False):
"""Applies BERT for pre-training."""
<|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BertForPreTraining:
"""Bert model for pre-training."""
def apply(self, input_ids, input_mask, type_ids, masked_lm_positions=None, masked_lm_labels=None, masked_lm_weights=None, next_sentence_labels=None, *, config, deterministic=False):
"""Applies BERT for pre-training."""
bert = BertMode... | the_stack_v2_python_sparse | flax_models/bert/models.py | pdybczak/google-research | train | 1 |
782c58f42d65ffbaa99555596eca909eb789172e | [
"if context is None:\n context = {}\nres = super(AccountMoveLineReconcileWriteoff, self).trans_rec_reconcile_partial(cr, uid, ids, context=context)\nself.trans_rec_reconcile_tax(cr, uid, context.get('active_ids', []), context=context)\nreturn res",
"if context is None:\n context = {}\nperiod_obj = self.pool... | <|body_start_0|>
if context is None:
context = {}
res = super(AccountMoveLineReconcileWriteoff, self).trans_rec_reconcile_partial(cr, uid, ids, context=context)
self.trans_rec_reconcile_tax(cr, uid, context.get('active_ids', []), context=context)
return res
<|end_body_0|>
<|... | AccountMoveLineReconcileWriteoff | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccountMoveLineReconcileWriteoff:
def trans_rec_reconcile_partial(self, cr, uid, ids, context=None):
"""This function is overwrite because we need reconcile also the aml of taxes when is reconcile partial"""
<|body_0|>
def trans_rec_reconcile(self, cr, uid, ids, context=None... | stack_v2_sparse_classes_36k_train_000011 | 4,750 | no_license | [
{
"docstring": "This function is overwrite because we need reconcile also the aml of taxes when is reconcile partial",
"name": "trans_rec_reconcile_partial",
"signature": "def trans_rec_reconcile_partial(self, cr, uid, ids, context=None)"
},
{
"docstring": "This function is overwrite because we ... | 3 | null | Implement the Python class `AccountMoveLineReconcileWriteoff` described below.
Class description:
Implement the AccountMoveLineReconcileWriteoff class.
Method signatures and docstrings:
- def trans_rec_reconcile_partial(self, cr, uid, ids, context=None): This function is overwrite because we need reconcile also the a... | Implement the Python class `AccountMoveLineReconcileWriteoff` described below.
Class description:
Implement the AccountMoveLineReconcileWriteoff class.
Method signatures and docstrings:
- def trans_rec_reconcile_partial(self, cr, uid, ids, context=None): This function is overwrite because we need reconcile also the a... | 511dc410b4eba1f8ea939c6af02a5adea5122c92 | <|skeleton|>
class AccountMoveLineReconcileWriteoff:
def trans_rec_reconcile_partial(self, cr, uid, ids, context=None):
"""This function is overwrite because we need reconcile also the aml of taxes when is reconcile partial"""
<|body_0|>
def trans_rec_reconcile(self, cr, uid, ids, context=None... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AccountMoveLineReconcileWriteoff:
def trans_rec_reconcile_partial(self, cr, uid, ids, context=None):
"""This function is overwrite because we need reconcile also the aml of taxes when is reconcile partial"""
if context is None:
context = {}
res = super(AccountMoveLineReconc... | the_stack_v2_python_sparse | account_voucher_tax/account_reconcile.py | yelizariev/addons-vauxoo | train | 3 | |
d8a8fff0da5e5825219ba76be5d2832f41b8caee | [
"self.master = master\nself.mode = Tk.StringVar()\nself.mode_list = ['Create Level', 'Edit Existing Level']\nself.mode_string = ''\nself.lw = Tk.StringVar()\nself.newFrame = None\nself.createWidgets()",
"textLabel = Tk.Label(self.master, text='Select Editor Mode:')\ndropDown = Tk.OptionMenu(self.master, self.mode... | <|body_start_0|>
self.master = master
self.mode = Tk.StringVar()
self.mode_list = ['Create Level', 'Edit Existing Level']
self.mode_string = ''
self.lw = Tk.StringVar()
self.newFrame = None
self.createWidgets()
<|end_body_0|>
<|body_start_1|>
textLabel = ... | mainGUI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class mainGUI:
def __init__(self, master):
"""Initialisation params: master -> root window"""
<|body_0|>
def createWidgets(self):
"""Create widgets for frontend. The widgets are: -> An OptionMenu for choosing between the NEW and EDIT modes -> A field for entering level wid... | stack_v2_sparse_classes_36k_train_000012 | 3,921 | no_license | [
{
"docstring": "Initialisation params: master -> root window",
"name": "__init__",
"signature": "def __init__(self, master)"
},
{
"docstring": "Create widgets for frontend. The widgets are: -> An OptionMenu for choosing between the NEW and EDIT modes -> A field for entering level width -> Variou... | 6 | stack_v2_sparse_classes_30k_train_011365 | Implement the Python class `mainGUI` described below.
Class description:
Implement the mainGUI class.
Method signatures and docstrings:
- def __init__(self, master): Initialisation params: master -> root window
- def createWidgets(self): Create widgets for frontend. The widgets are: -> An OptionMenu for choosing betw... | Implement the Python class `mainGUI` described below.
Class description:
Implement the mainGUI class.
Method signatures and docstrings:
- def __init__(self, master): Initialisation params: master -> root window
- def createWidgets(self): Create widgets for frontend. The widgets are: -> An OptionMenu for choosing betw... | b5ef6160b958ece204edf68bad21f8ae39441fa7 | <|skeleton|>
class mainGUI:
def __init__(self, master):
"""Initialisation params: master -> root window"""
<|body_0|>
def createWidgets(self):
"""Create widgets for frontend. The widgets are: -> An OptionMenu for choosing between the NEW and EDIT modes -> A field for entering level wid... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class mainGUI:
def __init__(self, master):
"""Initialisation params: master -> root window"""
self.master = master
self.mode = Tk.StringVar()
self.mode_list = ['Create Level', 'Edit Existing Level']
self.mode_string = ''
self.lw = Tk.StringVar()
self.newFrame ... | the_stack_v2_python_sparse | worldShifter/levelEditor/ed_GUI.py | sanskarchand/python-projects | train | 0 | |
c6bc26e4b89f188750933739a534712cad0b282c | [
"result = get_coverage._get_oss_fuzz_latest_cov_report_info(self.PROJECT)\nself.assertEqual(result, {'coverage': 1})\nmock_error.assert_not_called()\nmock_get_json_from_url.assert_called_with(self.LATEST_REPORT_INFO_URL)",
"result = get_coverage._get_oss_fuzz_latest_cov_report_info('project')\nself.assertIsNone(r... | <|body_start_0|>
result = get_coverage._get_oss_fuzz_latest_cov_report_info(self.PROJECT)
self.assertEqual(result, {'coverage': 1})
mock_error.assert_not_called()
mock_get_json_from_url.assert_called_with(self.LATEST_REPORT_INFO_URL)
<|end_body_0|>
<|body_start_1|>
result = get_... | Tests that _get_oss_fuzz_latest_cov_report_info works as intended. | GetOssFuzzLatestCovReportInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GetOssFuzzLatestCovReportInfo:
"""Tests that _get_oss_fuzz_latest_cov_report_info works as intended."""
def test_get_oss_fuzz_latest_cov_report_info(self, mock_get_json_from_url, mock_error):
"""Tests that _get_oss_fuzz_latest_cov_report_info works as intended."""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_000013 | 9,610 | permissive | [
{
"docstring": "Tests that _get_oss_fuzz_latest_cov_report_info works as intended.",
"name": "test_get_oss_fuzz_latest_cov_report_info",
"signature": "def test_get_oss_fuzz_latest_cov_report_info(self, mock_get_json_from_url, mock_error)"
},
{
"docstring": "Tests that _get_oss_fuzz_latest_cov_re... | 2 | stack_v2_sparse_classes_30k_train_016941 | Implement the Python class `GetOssFuzzLatestCovReportInfo` described below.
Class description:
Tests that _get_oss_fuzz_latest_cov_report_info works as intended.
Method signatures and docstrings:
- def test_get_oss_fuzz_latest_cov_report_info(self, mock_get_json_from_url, mock_error): Tests that _get_oss_fuzz_latest_... | Implement the Python class `GetOssFuzzLatestCovReportInfo` described below.
Class description:
Tests that _get_oss_fuzz_latest_cov_report_info works as intended.
Method signatures and docstrings:
- def test_get_oss_fuzz_latest_cov_report_info(self, mock_get_json_from_url, mock_error): Tests that _get_oss_fuzz_latest_... | f0275421f84b8f80ee767fb9230134ac97cb687b | <|skeleton|>
class GetOssFuzzLatestCovReportInfo:
"""Tests that _get_oss_fuzz_latest_cov_report_info works as intended."""
def test_get_oss_fuzz_latest_cov_report_info(self, mock_get_json_from_url, mock_error):
"""Tests that _get_oss_fuzz_latest_cov_report_info works as intended."""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GetOssFuzzLatestCovReportInfo:
"""Tests that _get_oss_fuzz_latest_cov_report_info works as intended."""
def test_get_oss_fuzz_latest_cov_report_info(self, mock_get_json_from_url, mock_error):
"""Tests that _get_oss_fuzz_latest_cov_report_info works as intended."""
result = get_coverage._g... | the_stack_v2_python_sparse | infra/cifuzz/get_coverage_test.py | google/oss-fuzz | train | 9,438 |
78eb557cc6892e4804fda13c4dd94944f6d59141 | [
"max_len = 0\nfor i in range(len(string)):\n for j in range(i, len(string)):\n curr = string[i:j + 1]\n if len(curr) == len(set(curr)):\n max_len = max(max_len, j - i + 1)\nreturn max_len",
"letters = set()\nmax_len = 0\ni = 0\nfor j, char in enumerate(string):\n while letters and c... | <|body_start_0|>
max_len = 0
for i in range(len(string)):
for j in range(i, len(string)):
curr = string[i:j + 1]
if len(curr) == len(set(curr)):
max_len = max(max_len, j - i + 1)
return max_len
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longest_nonrepeat_brute(self, string):
"""Returns length of longest nonrepeating substring. Brute force algorithm. Time complexity: O(n ^ 2). Space complexity: O(1), n is len(string)."""
<|body_0|>
def longest_nonrepeat(self, string):
"""Returns length ... | stack_v2_sparse_classes_36k_train_000014 | 3,247 | no_license | [
{
"docstring": "Returns length of longest nonrepeating substring. Brute force algorithm. Time complexity: O(n ^ 2). Space complexity: O(1), n is len(string).",
"name": "longest_nonrepeat_brute",
"signature": "def longest_nonrepeat_brute(self, string)"
},
{
"docstring": "Returns length of longest... | 4 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longest_nonrepeat_brute(self, string): Returns length of longest nonrepeating substring. Brute force algorithm. Time complexity: O(n ^ 2). Space complexity: O(1), n is len(st... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longest_nonrepeat_brute(self, string): Returns length of longest nonrepeating substring. Brute force algorithm. Time complexity: O(n ^ 2). Space complexity: O(1), n is len(st... | 71b722ddfe8da04572e527b055cf8723d5c87bbf | <|skeleton|>
class Solution:
def longest_nonrepeat_brute(self, string):
"""Returns length of longest nonrepeating substring. Brute force algorithm. Time complexity: O(n ^ 2). Space complexity: O(1), n is len(string)."""
<|body_0|>
def longest_nonrepeat(self, string):
"""Returns length ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longest_nonrepeat_brute(self, string):
"""Returns length of longest nonrepeating substring. Brute force algorithm. Time complexity: O(n ^ 2). Space complexity: O(1), n is len(string)."""
max_len = 0
for i in range(len(string)):
for j in range(i, len(string)):
... | the_stack_v2_python_sparse | Hashing/longest_nonrepeating_substring.py | vladn90/Algorithms | train | 0 | |
fdcbeca30465d73d5f31219fb3b96b0d6c353a5c | [
"settings.RATE_SERVICE = 'forex'\nfrom_date = datetime.date(year=2020, month=7, day=20)\nto_date = datetime.date(year=2020, month=7, day=25)\nRate.objects.fetch_rates(base_currency=self.base_currency, date_obj=from_date, to_obj=to_date)\nself.user, created = User.objects.get_or_create(username='test', email='test@i... | <|body_start_0|>
settings.RATE_SERVICE = 'forex'
from_date = datetime.date(year=2020, month=7, day=20)
to_date = datetime.date(year=2020, month=7, day=25)
Rate.objects.fetch_rates(base_currency=self.base_currency, date_obj=from_date, to_obj=to_date)
self.user, created = User.obje... | Test Rate conversion API | RateConverterAPITest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RateConverterAPITest:
"""Test Rate conversion API"""
def setUp(self) -> None:
"""setup test environment"""
<|body_0|>
def test_convert_request(self):
"""Test conversion request"""
<|body_1|>
def test_convert_batch_request(self):
"""Test batch... | stack_v2_sparse_classes_36k_train_000015 | 34,628 | permissive | [
{
"docstring": "setup test environment",
"name": "setUp",
"signature": "def setUp(self) -> None"
},
{
"docstring": "Test conversion request",
"name": "test_convert_request",
"signature": "def test_convert_request(self)"
},
{
"docstring": "Test batch conversion",
"name": "test... | 4 | stack_v2_sparse_classes_30k_train_020257 | Implement the Python class `RateConverterAPITest` described below.
Class description:
Test Rate conversion API
Method signatures and docstrings:
- def setUp(self) -> None: setup test environment
- def test_convert_request(self): Test conversion request
- def test_convert_batch_request(self): Test batch conversion
- d... | Implement the Python class `RateConverterAPITest` described below.
Class description:
Test Rate conversion API
Method signatures and docstrings:
- def setUp(self) -> None: setup test environment
- def test_convert_request(self): Test conversion request
- def test_convert_batch_request(self): Test batch conversion
- d... | 23cc075377d47ac631634cd71fd0e7d6b0a57bad | <|skeleton|>
class RateConverterAPITest:
"""Test Rate conversion API"""
def setUp(self) -> None:
"""setup test environment"""
<|body_0|>
def test_convert_request(self):
"""Test conversion request"""
<|body_1|>
def test_convert_batch_request(self):
"""Test batch... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RateConverterAPITest:
"""Test Rate conversion API"""
def setUp(self) -> None:
"""setup test environment"""
settings.RATE_SERVICE = 'forex'
from_date = datetime.date(year=2020, month=7, day=20)
to_date = datetime.date(year=2020, month=7, day=25)
Rate.objects.fetch_r... | the_stack_v2_python_sparse | src/geocurrency/rates/tests.py | fmeurou/geocurrency | train | 5 |
ae09d0d5153be3695db55eafd04bfd8af1b5c315 | [
"ImageProcessor.__init__(self, **kwargs)\nself._max_cache_size = max_cache_size\nself._max_days_bias = max_days_bias\nself._max_days_dark = max_days_dark\nself._max_days_flat = max_days_flat\nself._require_bias = require_bias\nself._require_dark = require_dark\nself._require_flat = require_flat\nself._archive = get... | <|body_start_0|>
ImageProcessor.__init__(self, **kwargs)
self._max_cache_size = max_cache_size
self._max_days_bias = max_days_bias
self._max_days_dark = max_days_dark
self._max_days_flat = max_days_flat
self._require_bias = require_bias
self._require_dark = requir... | Calibrate an image. | Calibration | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Calibration:
"""Calibrate an image."""
def __init__(self, archive: Union[Dict[str, Any], Archive], max_cache_size: int=20, require_bias: bool=True, require_dark: bool=True, require_flat: bool=True, max_days_bias: Optional[float]=None, max_days_dark: Optional[float]=None, max_days_flat: Optio... | stack_v2_sparse_classes_36k_train_000016 | 6,281 | permissive | [
{
"docstring": "Init a new image calibration pipeline step. Args: archive: Archive to fetch calibration frames from.",
"name": "__init__",
"signature": "def __init__(self, archive: Union[Dict[str, Any], Archive], max_cache_size: int=20, require_bias: bool=True, require_dark: bool=True, require_flat: boo... | 3 | null | Implement the Python class `Calibration` described below.
Class description:
Calibrate an image.
Method signatures and docstrings:
- def __init__(self, archive: Union[Dict[str, Any], Archive], max_cache_size: int=20, require_bias: bool=True, require_dark: bool=True, require_flat: bool=True, max_days_bias: Optional[fl... | Implement the Python class `Calibration` described below.
Class description:
Calibrate an image.
Method signatures and docstrings:
- def __init__(self, archive: Union[Dict[str, Any], Archive], max_cache_size: int=20, require_bias: bool=True, require_dark: bool=True, require_flat: bool=True, max_days_bias: Optional[fl... | 2d7a06e5485b61b6ca7e51d99b08651ea6021086 | <|skeleton|>
class Calibration:
"""Calibrate an image."""
def __init__(self, archive: Union[Dict[str, Any], Archive], max_cache_size: int=20, require_bias: bool=True, require_dark: bool=True, require_flat: bool=True, max_days_bias: Optional[float]=None, max_days_dark: Optional[float]=None, max_days_flat: Optio... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Calibration:
"""Calibrate an image."""
def __init__(self, archive: Union[Dict[str, Any], Archive], max_cache_size: int=20, require_bias: bool=True, require_dark: bool=True, require_flat: bool=True, max_days_bias: Optional[float]=None, max_days_dark: Optional[float]=None, max_days_flat: Optional[float]=No... | the_stack_v2_python_sparse | pyobs/images/processors/misc/calibration.py | pyobs/pyobs-core | train | 9 |
448cdc16360c560a94c53289a18ea83413bb1e6f | [
"term1 = tokens[indeks_token_pertama]\nterm2 = tokens[indeks_token_pertama + 1]\nreturn ' '.join([term1, term2])",
"vektor_tf_bigram = {}\nsz = len(tokens) - 1\nfor i in range(sz):\n bigram_token = self.__get_term_bigram(i, tokens)\n if bigram_token in vektor_tf_bigram:\n vektor_tf_bigram[bigram_toke... | <|body_start_0|>
term1 = tokens[indeks_token_pertama]
term2 = tokens[indeks_token_pertama + 1]
return ' '.join([term1, term2])
<|end_body_0|>
<|body_start_1|>
vektor_tf_bigram = {}
sz = len(tokens) - 1
for i in range(sz):
bigram_token = self.__get_term_bigram... | Bertugas Menghitung TF pada term Bigram | TfBigram | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TfBigram:
"""Bertugas Menghitung TF pada term Bigram"""
def __get_term_bigram(self, indeks_token_pertama: int, tokens: list):
"""Menggabungkan Dua String (Bigram)"""
<|body_0|>
def calculate(self, tokens: list):
"""Mengembalikan Vektor TF-Bigram (Tipe data dictio... | stack_v2_sparse_classes_36k_train_000017 | 1,423 | no_license | [
{
"docstring": "Menggabungkan Dua String (Bigram)",
"name": "__get_term_bigram",
"signature": "def __get_term_bigram(self, indeks_token_pertama: int, tokens: list)"
},
{
"docstring": "Mengembalikan Vektor TF-Bigram (Tipe data dictionary)",
"name": "calculate",
"signature": "def calculate... | 2 | stack_v2_sparse_classes_30k_train_020570 | Implement the Python class `TfBigram` described below.
Class description:
Bertugas Menghitung TF pada term Bigram
Method signatures and docstrings:
- def __get_term_bigram(self, indeks_token_pertama: int, tokens: list): Menggabungkan Dua String (Bigram)
- def calculate(self, tokens: list): Mengembalikan Vektor TF-Big... | Implement the Python class `TfBigram` described below.
Class description:
Bertugas Menghitung TF pada term Bigram
Method signatures and docstrings:
- def __get_term_bigram(self, indeks_token_pertama: int, tokens: list): Menggabungkan Dua String (Bigram)
- def calculate(self, tokens: list): Mengembalikan Vektor TF-Big... | 9742c193251303334ef805c8c94eb075afad777f | <|skeleton|>
class TfBigram:
"""Bertugas Menghitung TF pada term Bigram"""
def __get_term_bigram(self, indeks_token_pertama: int, tokens: list):
"""Menggabungkan Dua String (Bigram)"""
<|body_0|>
def calculate(self, tokens: list):
"""Mengembalikan Vektor TF-Bigram (Tipe data dictio... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TfBigram:
"""Bertugas Menghitung TF pada term Bigram"""
def __get_term_bigram(self, indeks_token_pertama: int, tokens: list):
"""Menggabungkan Dua String (Bigram)"""
term1 = tokens[indeks_token_pertama]
term2 = tokens[indeks_token_pertama + 1]
return ' '.join([term1, term2... | the_stack_v2_python_sparse | ujian_app/penilaian/pemrosesan_teks/ngram.py | anh4rs/Aplikasi-Penilaian-Otomatis-Esai-BI | train | 0 |
ef473b65772d1e5a6fdc756a8353b6bb9e6c6d71 | [
"super(DisneyBlock, self).__init__()\nself.f1z = torch.nn.Linear(zD, outD, bias=True)\nself.f1o = torch.nn.Linear(oD, outD, bias=True)\nself.f2 = torch.nn.Linear(outD, outD, bias=True)\nself.activation = torch.nn.ReLU()",
"out = self.f1o(o).add_(self.f1z(z))\nout = self.activation(out)\nout = self.f2(out)\nout = ... | <|body_start_0|>
super(DisneyBlock, self).__init__()
self.f1z = torch.nn.Linear(zD, outD, bias=True)
self.f1o = torch.nn.Linear(oD, outD, bias=True)
self.f2 = torch.nn.Linear(outD, outD, bias=True)
self.activation = torch.nn.ReLU()
<|end_body_0|>
<|body_start_1|>
out = s... | DisneyBlock | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DisneyBlock:
def __init__(self, oD, zD, outD):
""":param oD: Dimension of output of the previous block :param zD: Dimension of one layer of hierarchical descriptor :param outD: Dimension of ouput of current block"""
<|body_0|>
def forward(self, o, z):
""":param o: ou... | stack_v2_sparse_classes_36k_train_000018 | 949 | permissive | [
{
"docstring": ":param oD: Dimension of output of the previous block :param zD: Dimension of one layer of hierarchical descriptor :param outD: Dimension of ouput of current block",
"name": "__init__",
"signature": "def __init__(self, oD, zD, outD)"
},
{
"docstring": ":param o: output of the prev... | 2 | stack_v2_sparse_classes_30k_train_006832 | Implement the Python class `DisneyBlock` described below.
Class description:
Implement the DisneyBlock class.
Method signatures and docstrings:
- def __init__(self, oD, zD, outD): :param oD: Dimension of output of the previous block :param zD: Dimension of one layer of hierarchical descriptor :param outD: Dimension o... | Implement the Python class `DisneyBlock` described below.
Class description:
Implement the DisneyBlock class.
Method signatures and docstrings:
- def __init__(self, oD, zD, outD): :param oD: Dimension of output of the previous block :param zD: Dimension of one layer of hierarchical descriptor :param outD: Dimension o... | eeb490b5e6afd7f05049c8aca90a5c2e6f253726 | <|skeleton|>
class DisneyBlock:
def __init__(self, oD, zD, outD):
""":param oD: Dimension of output of the previous block :param zD: Dimension of one layer of hierarchical descriptor :param outD: Dimension of ouput of current block"""
<|body_0|>
def forward(self, o, z):
""":param o: ou... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DisneyBlock:
def __init__(self, oD, zD, outD):
""":param oD: Dimension of output of the previous block :param zD: Dimension of one layer of hierarchical descriptor :param outD: Dimension of ouput of current block"""
super(DisneyBlock, self).__init__()
self.f1z = torch.nn.Linear(zD, out... | the_stack_v2_python_sparse | DeepestScatter_Train/Disney/DisneyBlock.py | marsermd/DeepestScatter | train | 15 | |
32b6a1a2bae60c259386a41216e059a38378b5f0 | [
"b = boto_init_s3(bucket)\nif b:\n k = b.get_key(path_bucket)\n if not k:\n k = b.new_key(path_bucket)\n k.set_contents_from_string(content)\n if file_type == 'profile':\n try:\n old_pix = ProfilePicture.objects.get(is_current=True, user_id=user)\n ... | <|body_start_0|>
b = boto_init_s3(bucket)
if b:
k = b.get_key(path_bucket)
if not k:
k = b.new_key(path_bucket)
k.set_contents_from_string(content)
if file_type == 'profile':
try:
old_pix ... | File Management. Up/Download | FileManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileManager:
"""File Management. Up/Download"""
def store(bucket, path_bucket, content, filename='', file_type=None, user=None):
"""Store the file into S3. Return Something if success/ False if not"""
<|body_0|>
def get_profile_picture(user):
"""Get a file from S... | stack_v2_sparse_classes_36k_train_000019 | 2,996 | no_license | [
{
"docstring": "Store the file into S3. Return Something if success/ False if not",
"name": "store",
"signature": "def store(bucket, path_bucket, content, filename='', file_type=None, user=None)"
},
{
"docstring": "Get a file from S3",
"name": "get_profile_picture",
"signature": "def get... | 3 | stack_v2_sparse_classes_30k_val_000799 | Implement the Python class `FileManager` described below.
Class description:
File Management. Up/Download
Method signatures and docstrings:
- def store(bucket, path_bucket, content, filename='', file_type=None, user=None): Store the file into S3. Return Something if success/ False if not
- def get_profile_picture(use... | Implement the Python class `FileManager` described below.
Class description:
File Management. Up/Download
Method signatures and docstrings:
- def store(bucket, path_bucket, content, filename='', file_type=None, user=None): Store the file into S3. Return Something if success/ False if not
- def get_profile_picture(use... | 840f31ff203457fa12ba2ac20f3e4ee07a3d3410 | <|skeleton|>
class FileManager:
"""File Management. Up/Download"""
def store(bucket, path_bucket, content, filename='', file_type=None, user=None):
"""Store the file into S3. Return Something if success/ False if not"""
<|body_0|>
def get_profile_picture(user):
"""Get a file from S... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FileManager:
"""File Management. Up/Download"""
def store(bucket, path_bucket, content, filename='', file_type=None, user=None):
"""Store the file into S3. Return Something if success/ False if not"""
b = boto_init_s3(bucket)
if b:
k = b.get_key(path_bucket)
... | the_stack_v2_python_sparse | files_manager/models.py | gurkarangulati/CMSYapster | train | 0 |
6a3d3141ebb96bb6a2cc8f12949015f363be51d2 | [
"queryset = InterviewSchedule.objects.filter(is_direct_hire=True, project=pk).order_by('-id')\nqueryset = self.filter_queryset(queryset)\npage = self.paginate_queryset(queryset)\nif page is not None:\n serializer = self.get_serializer(page, many=True)\n return self.get_paginated_response(serializer.data)\nser... | <|body_start_0|>
queryset = InterviewSchedule.objects.filter(is_direct_hire=True, project=pk).order_by('-id')
queryset = self.filter_queryset(queryset)
page = self.paginate_queryset(queryset)
if page is not None:
serializer = self.get_serializer(page, many=True)
r... | Employee direct hire response | EmployeeDirectHireResponseViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmployeeDirectHireResponseViewSet:
"""Employee direct hire response"""
def project_interview_response(self, request, pk=None):
"""Endpoint for project interview responses"""
<|body_0|>
def send_appointment(self, request, pk=None):
"""Endpoint for direct hire empl... | stack_v2_sparse_classes_36k_train_000020 | 49,113 | no_license | [
{
"docstring": "Endpoint for project interview responses",
"name": "project_interview_response",
"signature": "def project_interview_response(self, request, pk=None)"
},
{
"docstring": "Endpoint for direct hire employee",
"name": "send_appointment",
"signature": "def send_appointment(sel... | 4 | stack_v2_sparse_classes_30k_train_002011 | Implement the Python class `EmployeeDirectHireResponseViewSet` described below.
Class description:
Employee direct hire response
Method signatures and docstrings:
- def project_interview_response(self, request, pk=None): Endpoint for project interview responses
- def send_appointment(self, request, pk=None): Endpoint... | Implement the Python class `EmployeeDirectHireResponseViewSet` described below.
Class description:
Employee direct hire response
Method signatures and docstrings:
- def project_interview_response(self, request, pk=None): Endpoint for project interview responses
- def send_appointment(self, request, pk=None): Endpoint... | cf3481991c9cfaba44d8ecc17f5b205ae5591dd0 | <|skeleton|>
class EmployeeDirectHireResponseViewSet:
"""Employee direct hire response"""
def project_interview_response(self, request, pk=None):
"""Endpoint for project interview responses"""
<|body_0|>
def send_appointment(self, request, pk=None):
"""Endpoint for direct hire empl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EmployeeDirectHireResponseViewSet:
"""Employee direct hire response"""
def project_interview_response(self, request, pk=None):
"""Endpoint for project interview responses"""
queryset = InterviewSchedule.objects.filter(is_direct_hire=True, project=pk).order_by('-id')
queryset = sel... | the_stack_v2_python_sparse | recruitment/api_recruitment.py | miloradradisic12/team-management-tool-backend | train | 0 |
8f83fbb2cad7eb598374f756b3cba1a3ea1e5c14 | [
"params = {'part': enf_parts(resource='commentThreads', value=parts), 'maxResults': max_results, 'moderationStatus': moderation_status, 'order': order, 'pageToken': page_token, 'searchTerms': search_terms, 'textFormat': text_format, **kwargs}\nif all_threads_related_to_channel_id is not None:\n params['allThread... | <|body_start_0|>
params = {'part': enf_parts(resource='commentThreads', value=parts), 'maxResults': max_results, 'moderationStatus': moderation_status, 'order': order, 'pageToken': page_token, 'searchTerms': search_terms, 'textFormat': text_format, **kwargs}
if all_threads_related_to_channel_id is not N... | A commentThread resource contains information about a YouTube comment thread, which comprises a top-level comment and replies, if any exist, to that comment References: https://developers.google.com/youtube/v3/docs/commentThreads | CommentThreadsResource | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommentThreadsResource:
"""A commentThread resource contains information about a YouTube comment thread, which comprises a top-level comment and replies, if any exist, to that comment References: https://developers.google.com/youtube/v3/docs/commentThreads"""
def list(self, parts: Optional[U... | stack_v2_sparse_classes_36k_train_000021 | 7,024 | permissive | [
{
"docstring": "Returns a list of comment threads that match the API request parameters. Args: parts: Comma-separated list of one or more comment thread resource properties. all_threads_related_to_channel_id: Instructs the API to return all comment threads associated with the specified channel. channel_id: Inst... | 2 | stack_v2_sparse_classes_30k_train_014137 | Implement the Python class `CommentThreadsResource` described below.
Class description:
A commentThread resource contains information about a YouTube comment thread, which comprises a top-level comment and replies, if any exist, to that comment References: https://developers.google.com/youtube/v3/docs/commentThreads
... | Implement the Python class `CommentThreadsResource` described below.
Class description:
A commentThread resource contains information about a YouTube comment thread, which comprises a top-level comment and replies, if any exist, to that comment References: https://developers.google.com/youtube/v3/docs/commentThreads
... | 1ed2f67a55b8df75c5fab9aacd7d9ff4d460812a | <|skeleton|>
class CommentThreadsResource:
"""A commentThread resource contains information about a YouTube comment thread, which comprises a top-level comment and replies, if any exist, to that comment References: https://developers.google.com/youtube/v3/docs/commentThreads"""
def list(self, parts: Optional[U... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CommentThreadsResource:
"""A commentThread resource contains information about a YouTube comment thread, which comprises a top-level comment and replies, if any exist, to that comment References: https://developers.google.com/youtube/v3/docs/commentThreads"""
def list(self, parts: Optional[Union[str, lis... | the_stack_v2_python_sparse | pyyoutube/resources/comment_threads.py | sns-sdks/python-youtube | train | 249 |
868a96c59ff181065f7ab2d28fb875785ae97fe6 | [
"if not hasattr(self, 'plugins'):\n print('Mount initialization')\n self.plugins = PlugPyStruct(PlugPyMount)\nelse:\n print('Registering plugin -- ', type(self))\n self.register_plugin(self)",
"plugin = plugin()\nprint('From register_plugin -- ', type(plugin))\nself.plugins[plugin.__class__.__name__] ... | <|body_start_0|>
if not hasattr(self, 'plugins'):
print('Mount initialization')
self.plugins = PlugPyStruct(PlugPyMount)
else:
print('Registering plugin -- ', type(self))
self.register_plugin(self)
<|end_body_0|>
<|body_start_1|>
plugin = plugin()... | This class acts as a mount point for our plugins | PlugPyMount | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PlugPyMount:
"""This class acts as a mount point for our plugins"""
def __init__(self, name, bases, attr):
"""Initializing mount, or registering a plugin?"""
<|body_0|>
def register_plugin(self, plugin):
"""Registration logic + append to plugins struct"""
... | stack_v2_sparse_classes_36k_train_000022 | 6,159 | no_license | [
{
"docstring": "Initializing mount, or registering a plugin?",
"name": "__init__",
"signature": "def __init__(self, name, bases, attr)"
},
{
"docstring": "Registration logic + append to plugins struct",
"name": "register_plugin",
"signature": "def register_plugin(self, plugin)"
},
{
... | 4 | stack_v2_sparse_classes_30k_train_006596 | Implement the Python class `PlugPyMount` described below.
Class description:
This class acts as a mount point for our plugins
Method signatures and docstrings:
- def __init__(self, name, bases, attr): Initializing mount, or registering a plugin?
- def register_plugin(self, plugin): Registration logic + append to plug... | Implement the Python class `PlugPyMount` described below.
Class description:
This class acts as a mount point for our plugins
Method signatures and docstrings:
- def __init__(self, name, bases, attr): Initializing mount, or registering a plugin?
- def register_plugin(self, plugin): Registration logic + append to plug... | 10b5f8ac9468dde825eecdf25caec6b273af2301 | <|skeleton|>
class PlugPyMount:
"""This class acts as a mount point for our plugins"""
def __init__(self, name, bases, attr):
"""Initializing mount, or registering a plugin?"""
<|body_0|>
def register_plugin(self, plugin):
"""Registration logic + append to plugins struct"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PlugPyMount:
"""This class acts as a mount point for our plugins"""
def __init__(self, name, bases, attr):
"""Initializing mount, or registering a plugin?"""
if not hasattr(self, 'plugins'):
print('Mount initialization')
self.plugins = PlugPyStruct(PlugPyMount)
... | the_stack_v2_python_sparse | scripts/plugin_tests/self_registering_approach/advanced_plugin/metaclass_plugins_test.py | mlsquare/cook-imly | train | 0 |
57019740b8480f3926887ee06a1cb8e92300a8bf | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn ServiceUpdateMessage()",
"from .item_body import ItemBody\nfrom .service_announcement_attachment import ServiceAnnouncementAttachment\nfrom .service_announcement_base import ServiceAnnouncementBase\nfrom .service_update_category import... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return ServiceUpdateMessage()
<|end_body_0|>
<|body_start_1|>
from .item_body import ItemBody
from .service_announcement_attachment import ServiceAnnouncementAttachment
from .service_an... | ServiceUpdateMessage | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ServiceUpdateMessage:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ServiceUpdateMessage:
"""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 ... | stack_v2_sparse_classes_36k_train_000023 | 6,416 | 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: ServiceUpdateMessage",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminato... | 3 | stack_v2_sparse_classes_30k_train_007836 | Implement the Python class `ServiceUpdateMessage` described below.
Class description:
Implement the ServiceUpdateMessage class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ServiceUpdateMessage: Creates a new instance of the appropriate class based o... | Implement the Python class `ServiceUpdateMessage` described below.
Class description:
Implement the ServiceUpdateMessage class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ServiceUpdateMessage: Creates a new instance of the appropriate class based o... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class ServiceUpdateMessage:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ServiceUpdateMessage:
"""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 ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ServiceUpdateMessage:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ServiceUpdateMessage:
"""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... | the_stack_v2_python_sparse | msgraph/generated/models/service_update_message.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
ad466ffa56c8f65eedebac4a8ee0e8f3688b2878 | [
"folders = url.split('/')\nthedate = folders[-1] if len(folders[-1]) > 0 else folders[-2]\noutfile = '{}.csv'.format(thedate)\nif os.path.exists(outfile) and usecached:\n decam_transients = pd.read_csv(outfile)\nelse:\n try:\n decam_dets = requests.get(url).text\n except:\n requests.packages.... | <|body_start_0|>
folders = url.split('/')
thedate = folders[-1] if len(folders[-1]) > 0 else folders[-2]
outfile = '{}.csv'.format(thedate)
if os.path.exists(outfile) and usecached:
decam_transients = pd.read_csv(outfile)
else:
try:
decam_d... | DECamLedgerMaker | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DECamLedgerMaker:
def __init__(self, url, usecached=True):
"""Download reduced DECam transient data from Texas A&M. Cache the data to avoid lengthy and expensive downloads. Parameters ---------- url : str URL for accessing the data. usecached : bool If False, download new data and overwr... | stack_v2_sparse_classes_36k_train_000024 | 5,257 | permissive | [
{
"docstring": "Download reduced DECam transient data from Texas A&M. Cache the data to avoid lengthy and expensive downloads. Parameters ---------- url : str URL for accessing the data. usecached : bool If False, download new data and overwrite cached data. Returns ------- decam_transients : pandas.DataFrame T... | 2 | null | Implement the Python class `DECamLedgerMaker` described below.
Class description:
Implement the DECamLedgerMaker class.
Method signatures and docstrings:
- def __init__(self, url, usecached=True): Download reduced DECam transient data from Texas A&M. Cache the data to avoid lengthy and expensive downloads. Parameters... | Implement the Python class `DECamLedgerMaker` described below.
Class description:
Implement the DECamLedgerMaker class.
Method signatures and docstrings:
- def __init__(self, url, usecached=True): Download reduced DECam transient data from Texas A&M. Cache the data to avoid lengthy and expensive downloads. Parameters... | 573054ffef43e20a742898723cdf140151531cbc | <|skeleton|>
class DECamLedgerMaker:
def __init__(self, url, usecached=True):
"""Download reduced DECam transient data from Texas A&M. Cache the data to avoid lengthy and expensive downloads. Parameters ---------- url : str URL for accessing the data. usecached : bool If False, download new data and overwr... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DECamLedgerMaker:
def __init__(self, url, usecached=True):
"""Download reduced DECam transient data from Texas A&M. Cache the data to avoid lengthy and expensive downloads. Parameters ---------- url : str URL for accessing the data. usecached : bool If False, download new data and overwrite cached dat... | the_stack_v2_python_sparse | too_ledgers/2021A/desitoo.py | desihub/timedomain | train | 5 | |
72bf3ca78c47c383c695c4644f4b366813895f9d | [
"if isinstance(dictionary['quantiles'], abc.Mapping):\n quantiles = [(float(key), value) for key, value in dictionary['quantiles'].items()]\n quantiles.sort(key=lambda x: x[0])\nelse:\n quantiles = [tuple(pair) for pair in dictionary['quantiles']]\nreturn cls(count=dictionary['count'], min=dictionary['min'... | <|body_start_0|>
if isinstance(dictionary['quantiles'], abc.Mapping):
quantiles = [(float(key), value) for key, value in dictionary['quantiles'].items()]
quantiles.sort(key=lambda x: x[0])
else:
quantiles = [tuple(pair) for pair in dictionary['quantiles']]
ret... | Summary statistics for a set of numbers. | SummaryStatistics | [
"Apache-2.0",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SummaryStatistics:
"""Summary statistics for a set of numbers."""
def from_dict(cls, dictionary):
"""Constructs a `SummaryStatistics` object from a Python dictionary. If `stats` is an instance of `SummaryStatistics`, `SummaryStatistics.from_dict(attr.asdict(stats))` should equal `sta... | stack_v2_sparse_classes_36k_train_000025 | 24,441 | permissive | [
{
"docstring": "Constructs a `SummaryStatistics` object from a Python dictionary. If `stats` is an instance of `SummaryStatistics`, `SummaryStatistics.from_dict(attr.asdict(stats))` should equal `stats`. Args: dictionary: Dictionary resulting from `stats.to_dict_for_json()` or `attr.asdict(stats)` for some `Sum... | 2 | stack_v2_sparse_classes_30k_train_001266 | Implement the Python class `SummaryStatistics` described below.
Class description:
Summary statistics for a set of numbers.
Method signatures and docstrings:
- def from_dict(cls, dictionary): Constructs a `SummaryStatistics` object from a Python dictionary. If `stats` is an instance of `SummaryStatistics`, `SummarySt... | Implement the Python class `SummaryStatistics` described below.
Class description:
Summary statistics for a set of numbers.
Method signatures and docstrings:
- def from_dict(cls, dictionary): Constructs a `SummaryStatistics` object from a Python dictionary. If `stats` is an instance of `SummaryStatistics`, `SummarySt... | 5573d9c5822f4e866b6692769963ae819cb3f10d | <|skeleton|>
class SummaryStatistics:
"""Summary statistics for a set of numbers."""
def from_dict(cls, dictionary):
"""Constructs a `SummaryStatistics` object from a Python dictionary. If `stats` is an instance of `SummaryStatistics`, `SummaryStatistics.from_dict(attr.asdict(stats))` should equal `sta... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SummaryStatistics:
"""Summary statistics for a set of numbers."""
def from_dict(cls, dictionary):
"""Constructs a `SummaryStatistics` object from a Python dictionary. If `stats` is an instance of `SummaryStatistics`, `SummaryStatistics.from_dict(attr.asdict(stats))` should equal `stats`. Args: di... | the_stack_v2_python_sparse | readtwice/data_utils/beam_utils.py | Jimmy-INL/google-research | train | 1 |
422475ba932b63c6df9416c7898c415c7129420f | [
"value = super(TreeForeignKey, self).clean(value, model_instance)\nself._validate_parent(value, model_instance)\nreturn value",
"if not value:\n return\nelif isinstance(value, (int, long_type)):\n model_class = instance.__class__\n try:\n parent = model_class._default_manager.get(pk=value)\n ex... | <|body_start_0|>
value = super(TreeForeignKey, self).clean(value, model_instance)
self._validate_parent(value, model_instance)
return value
<|end_body_0|>
<|body_start_1|>
if not value:
return
elif isinstance(value, (int, long_type)):
model_class = instan... | A foreignkey that limits the node types the parent can be. RUS: Внешний ключ отображает поля формы в виде дерева. Ограничивает типы узлов, у которых могут быть родители. | TreeForeignKey | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TreeForeignKey:
"""A foreignkey that limits the node types the parent can be. RUS: Внешний ключ отображает поля формы в виде дерева. Ограничивает типы узлов, у которых могут быть родители."""
def clean(self, value, model_instance):
"""RUS: Возвращает проверенные данные, которые затем... | stack_v2_sparse_classes_36k_train_000026 | 2,251 | permissive | [
{
"docstring": "RUS: Возвращает проверенные данные, которые затем помещаются в словарь cleaned_data формы.",
"name": "clean",
"signature": "def clean(self, value, model_instance)"
},
{
"docstring": "RUS: Проверка родителей. Родителем может быть объект, у которого значение равно первичному ключу,... | 2 | null | Implement the Python class `TreeForeignKey` described below.
Class description:
A foreignkey that limits the node types the parent can be. RUS: Внешний ключ отображает поля формы в виде дерева. Ограничивает типы узлов, у которых могут быть родители.
Method signatures and docstrings:
- def clean(self, value, model_ins... | Implement the Python class `TreeForeignKey` described below.
Class description:
A foreignkey that limits the node types the parent can be. RUS: Внешний ключ отображает поля формы в виде дерева. Ограничивает типы узлов, у которых могут быть родители.
Method signatures and docstrings:
- def clean(self, value, model_ins... | 2f7c535cb9f91d6bcb2f1e91b58edebc01255612 | <|skeleton|>
class TreeForeignKey:
"""A foreignkey that limits the node types the parent can be. RUS: Внешний ключ отображает поля формы в виде дерева. Ограничивает типы узлов, у которых могут быть родители."""
def clean(self, value, model_instance):
"""RUS: Возвращает проверенные данные, которые затем... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TreeForeignKey:
"""A foreignkey that limits the node types the parent can be. RUS: Внешний ключ отображает поля формы в виде дерева. Ограничивает типы узлов, у которых могут быть родители."""
def clean(self, value, model_instance):
"""RUS: Возвращает проверенные данные, которые затем помещаются в... | the_stack_v2_python_sparse | backend/edw/models/fields/tree.py | infolabs/django-edw | train | 5 |
b061db72830bdc3f002957ea94f60c1bf12f99c9 | [
"if root.left == None and root.right == None:\n foundSoFar.append(pathSoFar)\n return\nif root.left != None:\n self.helper(root.left, '->'.join([pathSoFar, str(root.left.val)]), foundSoFar)\nif root.right != None:\n self.helper(root.right, '->'.join([pathSoFar, str(root.right.val)]), foundSoFar)",
"if... | <|body_start_0|>
if root.left == None and root.right == None:
foundSoFar.append(pathSoFar)
return
if root.left != None:
self.helper(root.left, '->'.join([pathSoFar, str(root.left.val)]), foundSoFar)
if root.right != None:
self.helper(root.right, '-... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def helper(self, root, pathSoFar, foundSoFar):
""":type root: TreeNode :type pathSoFar: string :type foundSoFar: List[str] :rtype: List[str]"""
<|body_0|>
def binaryTreePaths(self, root):
""":type root: TreeNode :rtype: List[str]"""
<|body_1|>
<|en... | stack_v2_sparse_classes_36k_train_000027 | 1,006 | no_license | [
{
"docstring": ":type root: TreeNode :type pathSoFar: string :type foundSoFar: List[str] :rtype: List[str]",
"name": "helper",
"signature": "def helper(self, root, pathSoFar, foundSoFar)"
},
{
"docstring": ":type root: TreeNode :rtype: List[str]",
"name": "binaryTreePaths",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_020585 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def helper(self, root, pathSoFar, foundSoFar): :type root: TreeNode :type pathSoFar: string :type foundSoFar: List[str] :rtype: List[str]
- def binaryTreePaths(self, root): :type... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def helper(self, root, pathSoFar, foundSoFar): :type root: TreeNode :type pathSoFar: string :type foundSoFar: List[str] :rtype: List[str]
- def binaryTreePaths(self, root): :type... | dcf9768aeb120f3ad9925e407193e1a4b282a0a2 | <|skeleton|>
class Solution:
def helper(self, root, pathSoFar, foundSoFar):
""":type root: TreeNode :type pathSoFar: string :type foundSoFar: List[str] :rtype: List[str]"""
<|body_0|>
def binaryTreePaths(self, root):
""":type root: TreeNode :rtype: List[str]"""
<|body_1|>
<|en... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def helper(self, root, pathSoFar, foundSoFar):
""":type root: TreeNode :type pathSoFar: string :type foundSoFar: List[str] :rtype: List[str]"""
if root.left == None and root.right == None:
foundSoFar.append(pathSoFar)
return
if root.left != None:
... | the_stack_v2_python_sparse | Binary_Tree_Paths.py | O5-2/leetcode | train | 0 | |
162248bb0e324e8d7467fba03e58935f797dc7de | [
"if not builder:\n raise ValueError('Builder is not specified')\nself.__builder = builder",
"if not containerOsh:\n raise ValueError('Container is not specified')\nosh = self.__builder.buildFile(file_)\nosh.setContainer(containerOsh)\nreturn osh"
] | <|body_start_0|>
if not builder:
raise ValueError('Builder is not specified')
self.__builder = builder
<|end_body_0|>
<|body_start_1|>
if not containerOsh:
raise ValueError('Container is not specified')
osh = self.__builder.buildFile(file_)
osh.setContain... | Reporter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Reporter:
def __init__(self, builder):
"""@types: file_topology.Builder @raise ValueError: Builder is not specified"""
<|body_0|>
def report(self, file_, containerOsh):
"""@types: File, ObjectStateHolder -> ObjectStateHolder @raise ValueError: Container is not specif... | stack_v2_sparse_classes_36k_train_000028 | 12,587 | no_license | [
{
"docstring": "@types: file_topology.Builder @raise ValueError: Builder is not specified",
"name": "__init__",
"signature": "def __init__(self, builder)"
},
{
"docstring": "@types: File, ObjectStateHolder -> ObjectStateHolder @raise ValueError: Container is not specified",
"name": "report",... | 2 | stack_v2_sparse_classes_30k_train_001855 | Implement the Python class `Reporter` described below.
Class description:
Implement the Reporter class.
Method signatures and docstrings:
- def __init__(self, builder): @types: file_topology.Builder @raise ValueError: Builder is not specified
- def report(self, file_, containerOsh): @types: File, ObjectStateHolder ->... | Implement the Python class `Reporter` described below.
Class description:
Implement the Reporter class.
Method signatures and docstrings:
- def __init__(self, builder): @types: file_topology.Builder @raise ValueError: Builder is not specified
- def report(self, file_, containerOsh): @types: File, ObjectStateHolder ->... | c431e809e8d0f82e1bca7e3429dd0245560b5680 | <|skeleton|>
class Reporter:
def __init__(self, builder):
"""@types: file_topology.Builder @raise ValueError: Builder is not specified"""
<|body_0|>
def report(self, file_, containerOsh):
"""@types: File, ObjectStateHolder -> ObjectStateHolder @raise ValueError: Container is not specif... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Reporter:
def __init__(self, builder):
"""@types: file_topology.Builder @raise ValueError: Builder is not specified"""
if not builder:
raise ValueError('Builder is not specified')
self.__builder = builder
def report(self, file_, containerOsh):
"""@types: File, ... | the_stack_v2_python_sparse | reference/ucmdb/discovery/file_topology.py | madmonkyang/cda-record | train | 0 | |
0d1063036868595795e41de81e915077db2296d4 | [
"self._conn = Http()\nself._client_key = client_key\nself._output = output",
"request_params = urlencode(kwargs)\nuri = u'%s?%s&ywsid=%s&output=%s' % (base_url, request_params, self._client_key, self._output)\nself.LOG.debug('_http_request() - URI: %s', uri)\nheader, response = self._conn.request(uri, method='GET... | <|body_start_0|>
self._conn = Http()
self._client_key = client_key
self._output = output
<|end_body_0|>
<|body_start_1|>
request_params = urlencode(kwargs)
uri = u'%s?%s&ywsid=%s&output=%s' % (base_url, request_params, self._client_key, self._output)
self.LOG.debug('_htt... | Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection. | HttpApiClient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HttpApiClient:
"""Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection."""
def __init__(self, client_key, output):
"""Initialize base http client."""
<|body_0|>
def _http_request(self, base_url, **kwargs):... | stack_v2_sparse_classes_36k_train_000029 | 8,345 | no_license | [
{
"docstring": "Initialize base http client.",
"name": "__init__",
"signature": "def __init__(self, client_key, output)"
},
{
"docstring": "Perform an HTTP Request using base_url and parameters given by kwargs. Results are expected to be given in JSON format and are parsed to python data structu... | 2 | null | Implement the Python class `HttpApiClient` described below.
Class description:
Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection.
Method signatures and docstrings:
- def __init__(self, client_key, output): Initialize base http client.
- def _http_re... | Implement the Python class `HttpApiClient` described below.
Class description:
Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection.
Method signatures and docstrings:
- def __init__(self, client_key, output): Initialize base http client.
- def _http_re... | 8390a0139137574ab237b3ff5fe8ea61e8a0b76b | <|skeleton|>
class HttpApiClient:
"""Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection."""
def __init__(self, client_key, output):
"""Initialize base http client."""
<|body_0|>
def _http_request(self, base_url, **kwargs):... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HttpApiClient:
"""Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection."""
def __init__(self, client_key, output):
"""Initialize base http client."""
self._conn = Http()
self._client_key = client_key
self._o... | the_stack_v2_python_sparse | data/input/adamhadani/python-yelp/yelp/api.py | bopopescu/pythonanalyzer | train | 0 |
04ab08ce29e6f248d90c5dd862be84a028191e39 | [
"try:\n return Vrf.objects.filter(id=id_vrf).uniqueResult()\nexcept ObjectDoesNotExist as e:\n raise VrfNotFoundError(u'Vrf id = %s does not exist.' % id_vrf)\nexcept OperationalError as e:\n cls.log.error(u'Lock wait timeout exceeded.')\n raise OperationalError(u'Lock wait timeout exceeded; try restart... | <|body_start_0|>
try:
return Vrf.objects.filter(id=id_vrf).uniqueResult()
except ObjectDoesNotExist as e:
raise VrfNotFoundError(u'Vrf id = %s does not exist.' % id_vrf)
except OperationalError as e:
cls.log.error(u'Lock wait timeout exceeded.')
ra... | Vrf | [
"Apache-2.0",
"BSD-3-Clause",
"MIT",
"LicenseRef-scancode-public-domain",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Vrf:
def get_by_pk(cls, id_vrf):
"""Get Vrf by id. @return: Vrf. @raise VrfNotFoundError: Vrf is not registered. @raise VrfError: Failed to search for the Vrf. @raise OperationalError: Lock wait timeout exceed"""
<|body_0|>
def create(self, authenticated_user):
"""In... | stack_v2_sparse_classes_36k_train_000030 | 5,338 | permissive | [
{
"docstring": "Get Vrf by id. @return: Vrf. @raise VrfNotFoundError: Vrf is not registered. @raise VrfError: Failed to search for the Vrf. @raise OperationalError: Lock wait timeout exceed",
"name": "get_by_pk",
"signature": "def get_by_pk(cls, id_vrf)"
},
{
"docstring": "Include new Vrf. @retu... | 4 | stack_v2_sparse_classes_30k_train_007752 | Implement the Python class `Vrf` described below.
Class description:
Implement the Vrf class.
Method signatures and docstrings:
- def get_by_pk(cls, id_vrf): Get Vrf by id. @return: Vrf. @raise VrfNotFoundError: Vrf is not registered. @raise VrfError: Failed to search for the Vrf. @raise OperationalError: Lock wait t... | Implement the Python class `Vrf` described below.
Class description:
Implement the Vrf class.
Method signatures and docstrings:
- def get_by_pk(cls, id_vrf): Get Vrf by id. @return: Vrf. @raise VrfNotFoundError: Vrf is not registered. @raise VrfError: Failed to search for the Vrf. @raise OperationalError: Lock wait t... | eb27e1d977a1c4bb1fee8fb51b8d8050c64696d9 | <|skeleton|>
class Vrf:
def get_by_pk(cls, id_vrf):
"""Get Vrf by id. @return: Vrf. @raise VrfNotFoundError: Vrf is not registered. @raise VrfError: Failed to search for the Vrf. @raise OperationalError: Lock wait timeout exceed"""
<|body_0|>
def create(self, authenticated_user):
"""In... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Vrf:
def get_by_pk(cls, id_vrf):
"""Get Vrf by id. @return: Vrf. @raise VrfNotFoundError: Vrf is not registered. @raise VrfError: Failed to search for the Vrf. @raise OperationalError: Lock wait timeout exceed"""
try:
return Vrf.objects.filter(id=id_vrf).uniqueResult()
exce... | the_stack_v2_python_sparse | networkapi/api_vrf/models.py | globocom/GloboNetworkAPI | train | 86 | |
ff305f7b86a6ffb0bd8acc789657a89923a78762 | [
"_module = kwargs['module']\ngtk.HBox.__init__(self)\nramstk.RAMSTKBaseView.__init__(self, controller, **kwargs)\nself._module = None\nfor __, char in enumerate(_module):\n if char.isalpha():\n self._module = _module.capitalize()",
"_return = False\n_type = gobject.type_name(model.get_column_type(positi... | <|body_start_0|>
_module = kwargs['module']
gtk.HBox.__init__(self)
ramstk.RAMSTKBaseView.__init__(self, controller, **kwargs)
self._module = None
for __, char in enumerate(_module):
if char.isalpha():
self._module = _module.capitalize()
<|end_body_0|>... | Class to display data in the RAMSTK List Book. This is the meta class for all RAMSTK List View classes. Attributes of the RAMSTKListView are: :ivar list _lst_col_order: list containing the order of the columns in the List View RAMSTKTreeView(). :ivar str _module: the capitalized name of the RAMSTK module the List View ... | RAMSTKListView | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RAMSTKListView:
"""Class to display data in the RAMSTK List Book. This is the meta class for all RAMSTK List View classes. Attributes of the RAMSTKListView are: :ivar list _lst_col_order: list containing the order of the columns in the List View RAMSTKTreeView(). :ivar str _module: the capitalize... | stack_v2_sparse_classes_36k_train_000031 | 4,051 | permissive | [
{
"docstring": "Initialize the List View. :param controller: the RAMSTK master data controller instance. :type controller: :class:`ramstk.RAMSTK.RAMSTK`",
"name": "__init__",
"signature": "def __init__(self, controller, **kwargs)"
},
{
"docstring": "Handle edits of the List View RAMSTKTreeView()... | 3 | null | Implement the Python class `RAMSTKListView` described below.
Class description:
Class to display data in the RAMSTK List Book. This is the meta class for all RAMSTK List View classes. Attributes of the RAMSTKListView are: :ivar list _lst_col_order: list containing the order of the columns in the List View RAMSTKTreeVi... | Implement the Python class `RAMSTKListView` described below.
Class description:
Class to display data in the RAMSTK List Book. This is the meta class for all RAMSTK List View classes. Attributes of the RAMSTKListView are: :ivar list _lst_col_order: list containing the order of the columns in the List View RAMSTKTreeVi... | 488ffed8b842399ddcae93007de6c6f1dda23d05 | <|skeleton|>
class RAMSTKListView:
"""Class to display data in the RAMSTK List Book. This is the meta class for all RAMSTK List View classes. Attributes of the RAMSTKListView are: :ivar list _lst_col_order: list containing the order of the columns in the List View RAMSTKTreeView(). :ivar str _module: the capitalize... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RAMSTKListView:
"""Class to display data in the RAMSTK List Book. This is the meta class for all RAMSTK List View classes. Attributes of the RAMSTKListView are: :ivar list _lst_col_order: list containing the order of the columns in the List View RAMSTKTreeView(). :ivar str _module: the capitalized name of the... | the_stack_v2_python_sparse | src/ramstk/gui/gtk/listviews/ListView.py | JmiXIII/ramstk | train | 0 |
a435e7f9e41df576c7d3988c7958dc4c57f699dc | [
"self.lower = lower\nself.stem = stem\nself.dannet = Dannet()\nself.europarl = Europarl()\nself.gutenberg = Gutenberg()\nself.lcc = LCC()",
"dannet_sentence_words = self.dannet.iter_sentence_words(lower=self.lower, stem=self.stem)\neuroparl_sentence_words = self.europarl.iter_sentence_words(lower=self.lower, stem... | <|body_start_0|>
self.lower = lower
self.stem = stem
self.dannet = Dannet()
self.europarl = Europarl()
self.gutenberg = Gutenberg()
self.lcc = LCC()
<|end_body_0|>
<|body_start_1|>
dannet_sentence_words = self.dannet.iter_sentence_words(lower=self.lower, stem=sel... | Iterable for words in a sentence. Parameters ---------- lower : bool, default True Lower case the words. stem : bool, default False Apply word stemming. DanishStemmer from nltk is used. | SentenceWordsIterable | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SentenceWordsIterable:
"""Iterable for words in a sentence. Parameters ---------- lower : bool, default True Lower case the words. stem : bool, default False Apply word stemming. DanishStemmer from nltk is used."""
def __init__(self, lower=True, stem=False):
"""Set up options."""
... | stack_v2_sparse_classes_36k_train_000032 | 14,008 | permissive | [
{
"docstring": "Set up options.",
"name": "__init__",
"signature": "def __init__(self, lower=True, stem=False)"
},
{
"docstring": "Restart and return iterable.",
"name": "__iter__",
"signature": "def __iter__(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011767 | Implement the Python class `SentenceWordsIterable` described below.
Class description:
Iterable for words in a sentence. Parameters ---------- lower : bool, default True Lower case the words. stem : bool, default False Apply word stemming. DanishStemmer from nltk is used.
Method signatures and docstrings:
- def __ini... | Implement the Python class `SentenceWordsIterable` described below.
Class description:
Iterable for words in a sentence. Parameters ---------- lower : bool, default True Lower case the words. stem : bool, default False Apply word stemming. DanishStemmer from nltk is used.
Method signatures and docstrings:
- def __ini... | d8d1c5e68aedf758aee1ba83da063f1e0952c21d | <|skeleton|>
class SentenceWordsIterable:
"""Iterable for words in a sentence. Parameters ---------- lower : bool, default True Lower case the words. stem : bool, default False Apply word stemming. DanishStemmer from nltk is used."""
def __init__(self, lower=True, stem=False):
"""Set up options."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SentenceWordsIterable:
"""Iterable for words in a sentence. Parameters ---------- lower : bool, default True Lower case the words. stem : bool, default False Apply word stemming. DanishStemmer from nltk is used."""
def __init__(self, lower=True, stem=False):
"""Set up options."""
self.low... | the_stack_v2_python_sparse | dasem/fullmonty.py | eaksnes/dasem | train | 0 |
10e9de4e5434284eebe66126f323c2810e9aa7af | [
"super(EfficientDet, self).__init__()\nself.image_size = config['image_size']\nfpn_channels = config['fpn_channels']\nanchor_scales = config['anchor_scales']\nanchor_aspect_ratios = config['anchor_aspect_ratios']\nanchor_base_scale = config['anchor_base_scale']\nregressor_classifier_num_repeat = config['regressor_c... | <|body_start_0|>
super(EfficientDet, self).__init__()
self.image_size = config['image_size']
fpn_channels = config['fpn_channels']
anchor_scales = config['anchor_scales']
anchor_aspect_ratios = config['anchor_aspect_ratios']
anchor_base_scale = config['anchor_base_scale']... | EfficientDet | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EfficientDet:
def __init__(self, num_classes, config):
"""please use _efficientdet()"""
<|body_0|>
def forward(self, image_list, targets=None, image_size=None, score_thresh=None, nms_thresh=None):
""":param image_list: List[Tensor[C, H, W]] [0., 1.] :param targets: D... | stack_v2_sparse_classes_36k_train_000033 | 6,541 | permissive | [
{
"docstring": "please use _efficientdet()",
"name": "__init__",
"signature": "def __init__(self, num_classes, config)"
},
{
"docstring": ":param image_list: List[Tensor[C, H, W]] [0., 1.] :param targets: Dict['labels': List[Tensor[NUMi]], 'boxes': List[Tensor[NUMi, 4]]] boxes: left, top, right,... | 2 | stack_v2_sparse_classes_30k_train_008239 | Implement the Python class `EfficientDet` described below.
Class description:
Implement the EfficientDet class.
Method signatures and docstrings:
- def __init__(self, num_classes, config): please use _efficientdet()
- def forward(self, image_list, targets=None, image_size=None, score_thresh=None, nms_thresh=None): :p... | Implement the Python class `EfficientDet` described below.
Class description:
Implement the EfficientDet class.
Method signatures and docstrings:
- def __init__(self, num_classes, config): please use _efficientdet()
- def forward(self, image_list, targets=None, image_size=None, score_thresh=None, nms_thresh=None): :p... | 79616be397b7f57992cd43b772f65b58b5e25a8b | <|skeleton|>
class EfficientDet:
def __init__(self, num_classes, config):
"""please use _efficientdet()"""
<|body_0|>
def forward(self, image_list, targets=None, image_size=None, score_thresh=None, nms_thresh=None):
""":param image_list: List[Tensor[C, H, W]] [0., 1.] :param targets: D... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EfficientDet:
def __init__(self, num_classes, config):
"""please use _efficientdet()"""
super(EfficientDet, self).__init__()
self.image_size = config['image_size']
fpn_channels = config['fpn_channels']
anchor_scales = config['anchor_scales']
anchor_aspect_ratios... | the_stack_v2_python_sparse | models/efficientdet.py | Jintao-Huang/EfficientDet_PyTorch | train | 22 | |
5d755d25a57408a713ea354bad709ec6e61f0c12 | [
"super(Generator, self).__init__()\nself.conv_dim = conv_dim\nself.fc = nn.Linear(z_size, conv_dim * 4 * 4 * 4)\nself.deconv1 = deconv(conv_dim * 4, conv_dim * 2, 4)\nself.deconv2 = deconv(conv_dim * 2, conv_dim, 4)\nself.deconv3 = deconv(conv_dim, 3, 4, batch_norm=False)",
"x = self.fc(x)\nx = x.view(-1, self.co... | <|body_start_0|>
super(Generator, self).__init__()
self.conv_dim = conv_dim
self.fc = nn.Linear(z_size, conv_dim * 4 * 4 * 4)
self.deconv1 = deconv(conv_dim * 4, conv_dim * 2, 4)
self.deconv2 = deconv(conv_dim * 2, conv_dim, 4)
self.deconv3 = deconv(conv_dim, 3, 4, batch_... | Generator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Generator:
def __init__(self, z_size, conv_dim=32):
"""Initialize the Generator Module :param z_size: The length of the input latent vector, z :param conv_dim: The depth of the inputs to the *last* transpose convolutional layer"""
<|body_0|>
def forward(self, x):
"""... | stack_v2_sparse_classes_36k_train_000034 | 12,896 | permissive | [
{
"docstring": "Initialize the Generator Module :param z_size: The length of the input latent vector, z :param conv_dim: The depth of the inputs to the *last* transpose convolutional layer",
"name": "__init__",
"signature": "def __init__(self, z_size, conv_dim=32)"
},
{
"docstring": "Forward pro... | 2 | stack_v2_sparse_classes_30k_train_019062 | Implement the Python class `Generator` described below.
Class description:
Implement the Generator class.
Method signatures and docstrings:
- def __init__(self, z_size, conv_dim=32): Initialize the Generator Module :param z_size: The length of the input latent vector, z :param conv_dim: The depth of the inputs to the... | Implement the Python class `Generator` described below.
Class description:
Implement the Generator class.
Method signatures and docstrings:
- def __init__(self, z_size, conv_dim=32): Initialize the Generator Module :param z_size: The length of the input latent vector, z :param conv_dim: The depth of the inputs to the... | b9b54564f94aadfc3c71ff513da0f05ef85d22a8 | <|skeleton|>
class Generator:
def __init__(self, z_size, conv_dim=32):
"""Initialize the Generator Module :param z_size: The length of the input latent vector, z :param conv_dim: The depth of the inputs to the *last* transpose convolutional layer"""
<|body_0|>
def forward(self, x):
"""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Generator:
def __init__(self, z_size, conv_dim=32):
"""Initialize the Generator Module :param z_size: The length of the input latent vector, z :param conv_dim: The depth of the inputs to the *last* transpose convolutional layer"""
super(Generator, self).__init__()
self.conv_dim = conv_... | the_stack_v2_python_sparse | dl/pytorch/gan/face_gan.py | xta0/Python-Playground | train | 0 | |
08ea0907314705568cd3dfdc62dd696a20a468c7 | [
"trace_id_list = []\ncnt = None\ntry:\n with transaction.atomic():\n count = Count.objects.select_for_update().get(pk=1)\n cnt = count.count_number\n count.count_number = (count.count_number + req) % 1000000000\n count.save()\nexcept Exception as e:\n logger.system_log('LOSM00038',... | <|body_start_0|>
trace_id_list = []
cnt = None
try:
with transaction.atomic():
count = Count.objects.select_for_update().get(pk=1)
cnt = count.count_number
count.count_number = (count.count_number + req) % 1000000000
cou... | [クラス概要] イベントリクエスト関連の処理をまとめる | EventsRequestCommon | [
"Apache-2.0",
"BSD-3-Clause",
"LGPL-3.0-only",
"MIT",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EventsRequestCommon:
"""[クラス概要] イベントリクエスト関連の処理をまとめる"""
def generate_trace_id(now=None, req=1):
"""[メソッド概要] トレースIDを生成する"""
<|body_0|>
def check_events_request_key(cls, req):
"""[メソッド概要] リクエストのキーをチェックする"""
<|body_1|>
def check_events_request_len(cls, r... | stack_v2_sparse_classes_36k_train_000035 | 4,397 | permissive | [
{
"docstring": "[メソッド概要] トレースIDを生成する",
"name": "generate_trace_id",
"signature": "def generate_trace_id(now=None, req=1)"
},
{
"docstring": "[メソッド概要] リクエストのキーをチェックする",
"name": "check_events_request_key",
"signature": "def check_events_request_key(cls, req)"
},
{
"docstring": "[メソ... | 3 | stack_v2_sparse_classes_30k_train_019614 | Implement the Python class `EventsRequestCommon` described below.
Class description:
[クラス概要] イベントリクエスト関連の処理をまとめる
Method signatures and docstrings:
- def generate_trace_id(now=None, req=1): [メソッド概要] トレースIDを生成する
- def check_events_request_key(cls, req): [メソッド概要] リクエストのキーをチェックする
- def check_events_request_len(cls, req, ... | Implement the Python class `EventsRequestCommon` described below.
Class description:
[クラス概要] イベントリクエスト関連の処理をまとめる
Method signatures and docstrings:
- def generate_trace_id(now=None, req=1): [メソッド概要] トレースIDを生成する
- def check_events_request_key(cls, req): [メソッド概要] リクエストのキーをチェックする
- def check_events_request_len(cls, req, ... | c00ea4fe1bf4b4a18d545aabeaaf1d95c7664b94 | <|skeleton|>
class EventsRequestCommon:
"""[クラス概要] イベントリクエスト関連の処理をまとめる"""
def generate_trace_id(now=None, req=1):
"""[メソッド概要] トレースIDを生成する"""
<|body_0|>
def check_events_request_key(cls, req):
"""[メソッド概要] リクエストのキーをチェックする"""
<|body_1|>
def check_events_request_len(cls, r... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EventsRequestCommon:
"""[クラス概要] イベントリクエスト関連の処理をまとめる"""
def generate_trace_id(now=None, req=1):
"""[メソッド概要] トレースIDを生成する"""
trace_id_list = []
cnt = None
try:
with transaction.atomic():
count = Count.objects.select_for_update().get(pk=1)
... | the_stack_v2_python_sparse | oase-root/libs/webcommonlibs/events_request.py | exastro-suite/oase | train | 10 |
363a45c6bf1ab508861ef94dedc9776eb690ebd1 | [
"self._scenario = []\nself._approaches = []\nself._approaches.append(PatApproach())\nself._approaches.append(MatApproach())\nself._approaches.append(MaxApproach())\nself._approaches.append(PacApproach())",
"scenario_file = open(scenario_file_name)\nfor current_line in scenario_file:\n new_customer = Customer(c... | <|body_start_0|>
self._scenario = []
self._approaches = []
self._approaches.append(PatApproach())
self._approaches.append(MatApproach())
self._approaches.append(MaxApproach())
self._approaches.append(PacApproach())
<|end_body_0|>
<|body_start_1|>
scenario_file = ... | A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and methods you want. But because you should not change the interface, you may n... | Simulator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Simulator:
"""A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and methods you want. But because you shoul... | stack_v2_sparse_classes_36k_train_000036 | 4,220 | no_license | [
{
"docstring": "Initialize a Simulation.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Load a scenario from the scenario_file_name and store it in _scenario :param scenario_file_name: Name of the scenario file :type scenario_file_name: str :rtype: None",
"name": ... | 3 | stack_v2_sparse_classes_30k_train_013563 | Implement the Python class `Simulator` described below.
Class description:
A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and ... | Implement the Python class `Simulator` described below.
Class description:
A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and ... | 2b9312b30171686f1bb08f4052edd8c748cf848f | <|skeleton|>
class Simulator:
"""A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and methods you want. But because you shoul... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Simulator:
"""A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and methods you want. But because you should not change ... | the_stack_v2_python_sparse | Assignments/a1/simulator.py | Lost-Accountant/csc148_2016_s | train | 0 |
38bcb668b6e7c80f69241e27f5c6b76633808dd5 | [
"if len(nums) == 0:\n return 0\npos = 0\nwhile pos < len(nums):\n if nums[pos] >= target:\n return pos\n pos += 1\nreturn len(nums)",
"if len(nums) == 1:\n return int(target >= nums[0])\nelif len(nums) == 2:\n if target > nums[1]:\n return 2\n elif nums[0] < target <= nums[1]:\n ... | <|body_start_0|>
if len(nums) == 0:
return 0
pos = 0
while pos < len(nums):
if nums[pos] >= target:
return pos
pos += 1
return len(nums)
<|end_body_0|>
<|body_start_1|>
if len(nums) == 1:
return int(target >= nums[0... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def searchInsert(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def searchInsert2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_36k_train_000037 | 1,138 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "searchInsert",
"signature": "def searchInsert(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "searchInsert2",
"signature": "def searchInsert2(self, nums, ... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchInsert(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def searchInsert2(self, nums, target): :type nums: List[int] :type target: int :rtype:... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchInsert(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def searchInsert2(self, nums, target): :type nums: List[int] :type target: int :rtype:... | 9f53994d8a123003d5f12a76cf375982cee52806 | <|skeleton|>
class Solution:
def searchInsert(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def searchInsert2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def searchInsert(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
if len(nums) == 0:
return 0
pos = 0
while pos < len(nums):
if nums[pos] >= target:
return pos
pos += 1
return le... | the_stack_v2_python_sparse | Algorithms/Q35_Search_Insert_Position.py | filosfino/leetcode | train | 1 | |
ef2d5b53d16b75f885cc9064820b95d0bd44ca37 | [
"SetUp.__init__(self)\nself.file_store = OUTPUT\nself.build_drive = 'j:'\nself.drop_file = path('%s/ats/ATSBootupDrop.zip' % OUTPUT).normpath()\nimage_files = '%s/images/image1.fpsx, %s/images/image2.fpsx ' % (OUTPUT, OUTPUT)\nself.flash_images = image_files\nself.config = None",
"xml_text = ''\nfile_location = p... | <|body_start_0|>
SetUp.__init__(self)
self.file_store = OUTPUT
self.build_drive = 'j:'
self.drop_file = path('%s/ats/ATSBootupDrop.zip' % OUTPUT).normpath()
image_files = '%s/images/image1.fpsx, %s/images/image2.fpsx ' % (OUTPUT, OUTPUT)
self.flash_images = image_files
... | test BootupTestDrop.py | TestBootupTestPlan | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestBootupTestPlan:
"""test BootupTestDrop.py"""
def __init__(self):
"""initialize bootup Tests"""
<|body_0|>
def read_xml(self, file_location, zip_file=False):
"""reads test.xml file if a path is given"""
<|body_1|>
def test_xml_file(self):
... | stack_v2_sparse_classes_36k_train_000038 | 4,922 | no_license | [
{
"docstring": "initialize bootup Tests",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "reads test.xml file if a path is given",
"name": "read_xml",
"signature": "def read_xml(self, file_location, zip_file=False)"
},
{
"docstring": "test bootup_testing.... | 3 | stack_v2_sparse_classes_30k_train_016571 | Implement the Python class `TestBootupTestPlan` described below.
Class description:
test BootupTestDrop.py
Method signatures and docstrings:
- def __init__(self): initialize bootup Tests
- def read_xml(self, file_location, zip_file=False): reads test.xml file if a path is given
- def test_xml_file(self): test bootup_... | Implement the Python class `TestBootupTestPlan` described below.
Class description:
test BootupTestDrop.py
Method signatures and docstrings:
- def __init__(self): initialize bootup Tests
- def read_xml(self, file_location, zip_file=False): reads test.xml file if a path is given
- def test_xml_file(self): test bootup_... | f458a4ce83f74d603362fe6b71eaa647ccc62fee | <|skeleton|>
class TestBootupTestPlan:
"""test BootupTestDrop.py"""
def __init__(self):
"""initialize bootup Tests"""
<|body_0|>
def read_xml(self, file_location, zip_file=False):
"""reads test.xml file if a path is given"""
<|body_1|>
def test_xml_file(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestBootupTestPlan:
"""test BootupTestDrop.py"""
def __init__(self):
"""initialize bootup Tests"""
SetUp.__init__(self)
self.file_store = OUTPUT
self.build_drive = 'j:'
self.drop_file = path('%s/ats/ATSBootupDrop.zip' % OUTPUT).normpath()
image_files = '%s/... | the_stack_v2_python_sparse | buildframework/helium/sf/python/pythoncore/lib/pythoncorecpythontests/test_bootup_testing.py | anagovitsyn/oss.FCL.sftools.dev.build | train | 0 |
537afaca93922f63ec238470e55622e3fe17f6cd | [
"self.threshold_method = threshold_method\nself.threshold = threshold\nself.cf = filters.CompoundUniformFilter(samples)\nself.mf = filters.MaximumFilter(2 * samples + 1)",
"cfilt = self.cf.filter_image(image)\nmfilt = self.mf.filter_image(cfilt)\nif 'std' in self.threshold_method:\n threshold = np.std(self.cf.... | <|body_start_0|>
self.threshold_method = threshold_method
self.threshold = threshold
self.cf = filters.CompoundUniformFilter(samples)
self.mf = filters.MaximumFilter(2 * samples + 1)
<|end_body_0|>
<|body_start_1|>
cfilt = self.cf.filter_image(image)
mfilt = self.mf.filt... | Estimate the position of bright spots in a fluorescence image using a compound uniform filter. Spots are retained if their grey level value is above the threshold. | Estimate | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Estimate:
"""Estimate the position of bright spots in a fluorescence image using a compound uniform filter. Spots are retained if their grey level value is above the threshold."""
def __init__(self, samples, threshold_method, threshold):
"""Initialise the position estimator. Paramete... | stack_v2_sparse_classes_36k_train_000039 | 9,306 | no_license | [
{
"docstring": "Initialise the position estimator. Parameters ---------- samples : int Size of kernel used in filtering. threshold_method : str Threshold method (either `std` or `manual`). threshold : float, optional Intensity threshold for position estimation - to be used if threshold_method is `manual`.",
... | 2 | stack_v2_sparse_classes_30k_train_017875 | Implement the Python class `Estimate` described below.
Class description:
Estimate the position of bright spots in a fluorescence image using a compound uniform filter. Spots are retained if their grey level value is above the threshold.
Method signatures and docstrings:
- def __init__(self, samples, threshold_method... | Implement the Python class `Estimate` described below.
Class description:
Estimate the position of bright spots in a fluorescence image using a compound uniform filter. Spots are retained if their grey level value is above the threshold.
Method signatures and docstrings:
- def __init__(self, samples, threshold_method... | 8fdb4122788d0967536ac3f14759e1f32a0c616e | <|skeleton|>
class Estimate:
"""Estimate the position of bright spots in a fluorescence image using a compound uniform filter. Spots are retained if their grey level value is above the threshold."""
def __init__(self, samples, threshold_method, threshold):
"""Initialise the position estimator. Paramete... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Estimate:
"""Estimate the position of bright spots in a fluorescence image using a compound uniform filter. Spots are retained if their grey level value is above the threshold."""
def __init__(self, samples, threshold_method, threshold):
"""Initialise the position estimator. Parameters ----------... | the_stack_v2_python_sparse | smlm_analysis/localise/estimate.py | drmatthews/SMLM_analysis | train | 0 |
a44d644bdcab37611e664789904aa3b1fd146f15 | [
"tree_list = (yield gen.Task(cls.tree, all_state=all_state))\ntd_tree_list = []\n\ndef get_childs(item):\n v = item\n icon = [' -']\n for n in range(0, v['level']):\n icon.append(' -')\n v['icon'] = ''.join(icon)\n child_tree = v.pop('child_tree')\n td_tree_list.append(v)\n for c in chil... | <|body_start_0|>
tree_list = (yield gen.Task(cls.tree, all_state=all_state))
td_tree_list = []
def get_childs(item):
v = item
icon = [' -']
for n in range(0, v['level']):
icon.append(' -')
v['icon'] = ''.join(icon)
chil... | 内容分类表 | Category | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Category:
"""内容分类表"""
def td_tree(cls, callback, all_state=False):
"""返回二维树"""
<|body_0|>
def get_childs(cls, id, callback):
"""取指定分类的下级"""
<|body_1|>
def tree(cls, callback, all_state=False):
"""返回多维树"""
<|body_2|>
<|end_skeleton|>
... | stack_v2_sparse_classes_36k_train_000040 | 14,810 | no_license | [
{
"docstring": "返回二维树",
"name": "td_tree",
"signature": "def td_tree(cls, callback, all_state=False)"
},
{
"docstring": "取指定分类的下级",
"name": "get_childs",
"signature": "def get_childs(cls, id, callback)"
},
{
"docstring": "返回多维树",
"name": "tree",
"signature": "def tree(cls... | 3 | stack_v2_sparse_classes_30k_val_001003 | Implement the Python class `Category` described below.
Class description:
内容分类表
Method signatures and docstrings:
- def td_tree(cls, callback, all_state=False): 返回二维树
- def get_childs(cls, id, callback): 取指定分类的下级
- def tree(cls, callback, all_state=False): 返回多维树 | Implement the Python class `Category` described below.
Class description:
内容分类表
Method signatures and docstrings:
- def td_tree(cls, callback, all_state=False): 返回二维树
- def get_childs(cls, id, callback): 取指定分类的下级
- def tree(cls, callback, all_state=False): 返回多维树
<|skeleton|>
class Category:
"""内容分类表"""
def ... | 56f910bf3ce1256044270553720072df48b8d2b1 | <|skeleton|>
class Category:
"""内容分类表"""
def td_tree(cls, callback, all_state=False):
"""返回二维树"""
<|body_0|>
def get_childs(cls, id, callback):
"""取指定分类的下级"""
<|body_1|>
def tree(cls, callback, all_state=False):
"""返回多维树"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Category:
"""内容分类表"""
def td_tree(cls, callback, all_state=False):
"""返回二维树"""
tree_list = (yield gen.Task(cls.tree, all_state=all_state))
td_tree_list = []
def get_childs(item):
v = item
icon = [' -']
for n in range(0, v['level']):
... | the_stack_v2_python_sparse | app/models/cms.py | kingel/QcoreCMS | train | 0 |
25366ac82942bf99a83d86d505753b9855e40298 | [
"dataset = file\nparams_cp = falconn.LSHConstructionParameters()\nparams_cp.dimension = len(dataset[0])\nparams_cp.lsh_family = falconn.LSHFamily.CrossPolytope\nif euclidean == True:\n params_cp.distance_function = falconn.DistanceFunction.EuclideanSquared\nelse:\n params_cp.distance_function = falconn.Distan... | <|body_start_0|>
dataset = file
params_cp = falconn.LSHConstructionParameters()
params_cp.dimension = len(dataset[0])
params_cp.lsh_family = falconn.LSHFamily.CrossPolytope
if euclidean == True:
params_cp.distance_function = falconn.DistanceFunction.EuclideanSquared
... | Local-Sensitivity Hashing (LSH) is a class of methods for the nearest neighbor search problem. https://github.com/FALCONN-LIB/FALCONN | LSH | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LSH:
"""Local-Sensitivity Hashing (LSH) is a class of methods for the nearest neighbor search problem. https://github.com/FALCONN-LIB/FALCONN"""
def LSHtable(self, file, euclidean=True, number_of_tables=50, hash_fx=18):
"""input: 2-D numpy array output: LSH table Params: :file: 2-D n... | stack_v2_sparse_classes_36k_train_000041 | 4,128 | no_license | [
{
"docstring": "input: 2-D numpy array output: LSH table Params: :file: 2-D numpy array of document vectors :distance_function: [EuclideanSquared, NegativeInnerProduct] :number_of_tables: (default=50) :num_of_rotations: 1 :seed: 5721840 :num_setup_threads: 0 :hash_fx: 18 (2^18 hash tables)",
"name": "LSHtab... | 3 | stack_v2_sparse_classes_30k_train_017554 | Implement the Python class `LSH` described below.
Class description:
Local-Sensitivity Hashing (LSH) is a class of methods for the nearest neighbor search problem. https://github.com/FALCONN-LIB/FALCONN
Method signatures and docstrings:
- def LSHtable(self, file, euclidean=True, number_of_tables=50, hash_fx=18): inpu... | Implement the Python class `LSH` described below.
Class description:
Local-Sensitivity Hashing (LSH) is a class of methods for the nearest neighbor search problem. https://github.com/FALCONN-LIB/FALCONN
Method signatures and docstrings:
- def LSHtable(self, file, euclidean=True, number_of_tables=50, hash_fx=18): inpu... | 1fd690f32cc6ac6fdd1ddae4f2242c375c9edc2f | <|skeleton|>
class LSH:
"""Local-Sensitivity Hashing (LSH) is a class of methods for the nearest neighbor search problem. https://github.com/FALCONN-LIB/FALCONN"""
def LSHtable(self, file, euclidean=True, number_of_tables=50, hash_fx=18):
"""input: 2-D numpy array output: LSH table Params: :file: 2-D n... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LSH:
"""Local-Sensitivity Hashing (LSH) is a class of methods for the nearest neighbor search problem. https://github.com/FALCONN-LIB/FALCONN"""
def LSHtable(self, file, euclidean=True, number_of_tables=50, hash_fx=18):
"""input: 2-D numpy array output: LSH table Params: :file: 2-D numpy array of... | the_stack_v2_python_sparse | webapp/fast_query/lsh.py | YanshengLiu2000/search-engine | train | 0 |
04c07f4ed4dd26e83238371ada0b03dffca0aea6 | [
"super(CloudSQLInstance, self).__init__(resource_id=instance_id, resource_type=resource.ResourceType.CLOUD_SQL_INSTANCE, name=name, display_name=display_name, parent=parent, locations=locations, lifecycle_state=lifecycle_state)\nself.full_name = full_name\nself.data = data",
"instance_dict = json.loads(json_strin... | <|body_start_0|>
super(CloudSQLInstance, self).__init__(resource_id=instance_id, resource_type=resource.ResourceType.CLOUD_SQL_INSTANCE, name=name, display_name=display_name, parent=parent, locations=locations, lifecycle_state=lifecycle_state)
self.full_name = full_name
self.data = data
<|end_bo... | CloudSQL Instance resource. | CloudSQLInstance | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CloudSQLInstance:
"""CloudSQL Instance resource."""
def __init__(self, instance_id, full_name=None, data=None, name=None, display_name=None, parent=None, locations=None, lifecycle_state=CloudSQLInstanceLifecycleState.UNSPECIFIED):
"""Initialize. Args: instance_id (str): The cloud sql... | stack_v2_sparse_classes_36k_train_000042 | 3,326 | permissive | [
{
"docstring": "Initialize. Args: instance_id (str): The cloud sql instance id. full_name (str): The full resource name and ancestry. data (str): Resource representation of the cloud sql instance. name (str): The cloud_sql_instance's unique GCP name, with the format \"cloud_sql_instances/{id}\". display_name (s... | 2 | null | Implement the Python class `CloudSQLInstance` described below.
Class description:
CloudSQL Instance resource.
Method signatures and docstrings:
- def __init__(self, instance_id, full_name=None, data=None, name=None, display_name=None, parent=None, locations=None, lifecycle_state=CloudSQLInstanceLifecycleState.UNSPECI... | Implement the Python class `CloudSQLInstance` described below.
Class description:
CloudSQL Instance resource.
Method signatures and docstrings:
- def __init__(self, instance_id, full_name=None, data=None, name=None, display_name=None, parent=None, locations=None, lifecycle_state=CloudSQLInstanceLifecycleState.UNSPECI... | d4421afa50a17ed47cbebe942044ebab3720e0f5 | <|skeleton|>
class CloudSQLInstance:
"""CloudSQL Instance resource."""
def __init__(self, instance_id, full_name=None, data=None, name=None, display_name=None, parent=None, locations=None, lifecycle_state=CloudSQLInstanceLifecycleState.UNSPECIFIED):
"""Initialize. Args: instance_id (str): The cloud sql... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CloudSQLInstance:
"""CloudSQL Instance resource."""
def __init__(self, instance_id, full_name=None, data=None, name=None, display_name=None, parent=None, locations=None, lifecycle_state=CloudSQLInstanceLifecycleState.UNSPECIFIED):
"""Initialize. Args: instance_id (str): The cloud sql instance id.... | the_stack_v2_python_sparse | google/cloud/forseti/common/gcp_type/cloudsql_instance.py | kevensen/forseti-security | train | 1 |
4a875e9a1b22812d48e9a755ddd2a758f01e90d5 | [
"logger.debug('Generating SPDX JSON document...')\nimage_obj = image_obj_list[0]\ntemplate = SPDX()\nreport = get_document_dict(image_obj, template)\nreturn json.dumps(report)",
"logger.debug('Generating SPDX JSON document...')\ntemplate = SPDX()\nreport = get_document_dict_snapshot(layer, template)\nreturn json.... | <|body_start_0|>
logger.debug('Generating SPDX JSON document...')
image_obj = image_obj_list[0]
template = SPDX()
report = get_document_dict(image_obj, template)
return json.dumps(report)
<|end_body_0|>
<|body_start_1|>
logger.debug('Generating SPDX JSON document...')
... | SpdxJSON | [
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference",
"BSD-2-Clause-Views"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpdxJSON:
def generate(self, image_obj_list, print_inclusive=False):
"""Generate an SPDX document WARNING: This assumes that the list consists of one image or the base image and a stub image, in which case, the information in the stub image is not applicable in the SPDX case as it is an ... | stack_v2_sparse_classes_36k_train_000043 | 6,919 | permissive | [
{
"docstring": "Generate an SPDX document WARNING: This assumes that the list consists of one image or the base image and a stub image, in which case, the information in the stub image is not applicable in the SPDX case as it is an empty image object with no metadata as nothing got built. The whole document sho... | 2 | stack_v2_sparse_classes_30k_train_010793 | Implement the Python class `SpdxJSON` described below.
Class description:
Implement the SpdxJSON class.
Method signatures and docstrings:
- def generate(self, image_obj_list, print_inclusive=False): Generate an SPDX document WARNING: This assumes that the list consists of one image or the base image and a stub image,... | Implement the Python class `SpdxJSON` described below.
Class description:
Implement the SpdxJSON class.
Method signatures and docstrings:
- def generate(self, image_obj_list, print_inclusive=False): Generate an SPDX document WARNING: This assumes that the list consists of one image or the base image and a stub image,... | 2aab4fb3af706feefe7137f442951108f541b058 | <|skeleton|>
class SpdxJSON:
def generate(self, image_obj_list, print_inclusive=False):
"""Generate an SPDX document WARNING: This assumes that the list consists of one image or the base image and a stub image, in which case, the information in the stub image is not applicable in the SPDX case as it is an ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SpdxJSON:
def generate(self, image_obj_list, print_inclusive=False):
"""Generate an SPDX document WARNING: This assumes that the list consists of one image or the base image and a stub image, in which case, the information in the stub image is not applicable in the SPDX case as it is an empty image ob... | the_stack_v2_python_sparse | tern/formats/spdx/spdxjson/generator.py | tern-tools/tern | train | 539 | |
4140dc3365a9d84253b945b7657f5a77a641e538 | [
"self.token = token\nself.verify = verify\nself.cert = cert\nself.keyfile = keyfile\nself.timeout = timeout\nself.log = logging.getLogger(__name__)",
"headers = {'Authorization': 'Api-Token %s' % self.token}\ntry:\n with Session() as session:\n session.headers.update(headers)\n session.verify = s... | <|body_start_0|>
self.token = token
self.verify = verify
self.cert = cert
self.keyfile = keyfile
self.timeout = timeout
self.log = logging.getLogger(__name__)
<|end_body_0|>
<|body_start_1|>
headers = {'Authorization': 'Api-Token %s' % self.token}
try:
... | DynatraceClient | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DynatraceClient:
def __init__(self, token, verify=False, cert=None, keyfile=None, timeout=None):
"""Client for Dynatrace rest API. It's used by dynatrace_topology and dynatrace_health check. :param token: token from Dynatrace platform which has access to read the API endpoints :param ver... | stack_v2_sparse_classes_36k_train_000044 | 2,931 | permissive | [
{
"docstring": "Client for Dynatrace rest API. It's used by dynatrace_topology and dynatrace_health check. :param token: token from Dynatrace platform which has access to read the API endpoints :param verify: verify the https certificate :param cert: path to certificate file for https verification :param keyfil... | 3 | stack_v2_sparse_classes_30k_train_016007 | Implement the Python class `DynatraceClient` described below.
Class description:
Implement the DynatraceClient class.
Method signatures and docstrings:
- def __init__(self, token, verify=False, cert=None, keyfile=None, timeout=None): Client for Dynatrace rest API. It's used by dynatrace_topology and dynatrace_health ... | Implement the Python class `DynatraceClient` described below.
Class description:
Implement the DynatraceClient class.
Method signatures and docstrings:
- def __init__(self, token, verify=False, cert=None, keyfile=None, timeout=None): Client for Dynatrace rest API. It's used by dynatrace_topology and dynatrace_health ... | 350cb6e239157b50b5943cdf5ca13163da9b9307 | <|skeleton|>
class DynatraceClient:
def __init__(self, token, verify=False, cert=None, keyfile=None, timeout=None):
"""Client for Dynatrace rest API. It's used by dynatrace_topology and dynatrace_health check. :param token: token from Dynatrace platform which has access to read the API endpoints :param ver... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DynatraceClient:
def __init__(self, token, verify=False, cert=None, keyfile=None, timeout=None):
"""Client for Dynatrace rest API. It's used by dynatrace_topology and dynatrace_health check. :param token: token from Dynatrace platform which has access to read the API endpoints :param verify: verify th... | the_stack_v2_python_sparse | dynatrace_base/stackstate_checks/dynatrace/dynatrance_client.py | StackVista/stackstate-agent-integrations | train | 3 | |
b560613f0bb153814a401992ebd735fa08e1160a | [
"res = 0\nfor i in range(len(A)):\n for j in range(len(A)):\n for k in range(len(A)):\n if A[i] & A[j] & A[k] == 0:\n res += 1\nreturn res",
"d = {}\nres = 0\nfor a in A:\n for b in A:\n t = a & b\n if t in d:\n d[t] += 1\n else:\n ... | <|body_start_0|>
res = 0
for i in range(len(A)):
for j in range(len(A)):
for k in range(len(A)):
if A[i] & A[j] & A[k] == 0:
res += 1
return res
<|end_body_0|>
<|body_start_1|>
d = {}
res = 0
for a i... | https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/ explanation: https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/discuss/227309/C%2B%2B-naive-O(n-*-n) | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/ explanation: https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/discuss/227309/C%2B%2B-naive-O(n-*-n)"""
def countTriplets(self, A):
""":type A: List[int] :rtype: int"""
<|bod... | stack_v2_sparse_classes_36k_train_000045 | 6,934 | no_license | [
{
"docstring": ":type A: List[int] :rtype: int",
"name": "countTriplets",
"signature": "def countTriplets(self, A)"
},
{
"docstring": ":type A: List[int] :rtype: int",
"name": "countTriplets2",
"signature": "def countTriplets2(self, A)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/ explanation: https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/discuss/227309/C%2B%2B-naive-O(n-*-n)
Method signatures and docstrings:
- def countTriplets(... | Implement the Python class `Solution` described below.
Class description:
https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/ explanation: https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/discuss/227309/C%2B%2B-naive-O(n-*-n)
Method signatures and docstrings:
- def countTriplets(... | 54d3d9530b25272d4a2e5dc33e7035c44f506dc5 | <|skeleton|>
class Solution:
"""https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/ explanation: https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/discuss/227309/C%2B%2B-naive-O(n-*-n)"""
def countTriplets(self, A):
""":type A: List[int] :rtype: int"""
<|bod... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
"""https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/ explanation: https://leetcode.com/problems/triples-with-bitwise-and-equal-to-zero/discuss/227309/C%2B%2B-naive-O(n-*-n)"""
def countTriplets(self, A):
""":type A: List[int] :rtype: int"""
res = 0
fo... | the_stack_v2_python_sparse | old/Session002/BitManipulation/TripleswithANDEqualToZero.py | MaxIakovliev/algorithms | train | 0 |
30494a7b1a538396380a9897b4209b08a10edfaa | [
"try:\n ScfUser.objects.get(username=data)\n raise ValidationError('User {} name already exist'.format(data))\nexcept ScfUser.DoesNotExist:\n return data",
"try:\n ScfUser.objects.get(email=data)\n raise ValidationError('User {} email already exist'.format(data))\nexcept ScfUser.DoesNotExist:\n ... | <|body_start_0|>
try:
ScfUser.objects.get(username=data)
raise ValidationError('User {} name already exist'.format(data))
except ScfUser.DoesNotExist:
return data
<|end_body_0|>
<|body_start_1|>
try:
ScfUser.objects.get(email=data)
rai... | Signup with mandatory fields | SignupSerializer | [
"Apache-2.0",
"GPL-3.0-only",
"BSD-3-Clause",
"AGPL-3.0-only",
"GPL-1.0-or-later",
"Python-2.0",
"BSD-2-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignupSerializer:
"""Signup with mandatory fields"""
def validate_username(self, data):
"""check user name is exist or not"""
<|body_0|>
def validate_email(self, data):
"""check email is exist or not"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_000046 | 4,134 | permissive | [
{
"docstring": "check user name is exist or not",
"name": "validate_username",
"signature": "def validate_username(self, data)"
},
{
"docstring": "check email is exist or not",
"name": "validate_email",
"signature": "def validate_email(self, data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003422 | Implement the Python class `SignupSerializer` described below.
Class description:
Signup with mandatory fields
Method signatures and docstrings:
- def validate_username(self, data): check user name is exist or not
- def validate_email(self, data): check email is exist or not | Implement the Python class `SignupSerializer` described below.
Class description:
Signup with mandatory fields
Method signatures and docstrings:
- def validate_username(self, data): check user name is exist or not
- def validate_email(self, data): check email is exist or not
<|skeleton|>
class SignupSerializer:
... | 4df3f46e35eb8fcab796be27fc1cc7fa7ed561f3 | <|skeleton|>
class SignupSerializer:
"""Signup with mandatory fields"""
def validate_username(self, data):
"""check user name is exist or not"""
<|body_0|>
def validate_email(self, data):
"""check email is exist or not"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SignupSerializer:
"""Signup with mandatory fields"""
def validate_username(self, data):
"""check user name is exist or not"""
try:
ScfUser.objects.get(username=data)
raise ValidationError('User {} name already exist'.format(data))
except ScfUser.DoesNotExis... | the_stack_v2_python_sparse | SCRM/ums/serializers.py | aricent/secure-cloud-native-fabric | train | 2 |
15840d207be8cfbe0239573bf8d5694867192449 | [
"if strs == []:\n return '-.'\nreturn '+&*+'.join(strs)",
"if s == '-.':\n return []\nreturn s.split('+&*+')"
] | <|body_start_0|>
if strs == []:
return '-.'
return '+&*+'.join(strs)
<|end_body_0|>
<|body_start_1|>
if s == '-.':
return []
return s.split('+&*+')
<|end_body_1|>
| Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
<|body_0|>
def decode(self, s):
"""Decodes a single string to a list of strings. :type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_36k_train_000047 | 722 | no_license | [
{
"docstring": "Encodes a list of strings to a single string. :type strs: List[str] :rtype: str",
"name": "encode",
"signature": "def encode(self, strs)"
},
{
"docstring": "Decodes a single string to a list of strings. :type s: str :rtype: List[str]",
"name": "decode",
"signature": "def ... | 2 | stack_v2_sparse_classes_30k_train_006320 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs): Encodes a list of strings to a single string. :type strs: List[str] :rtype: str
- def decode(self, s): Decodes a single string to a list of strings. :type s: st... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs): Encodes a list of strings to a single string. :type strs: List[str] :rtype: str
- def decode(self, s): Decodes a single string to a list of strings. :type s: st... | 30bfafb6a7727c9305b22933b63d9d645182c633 | <|skeleton|>
class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
<|body_0|>
def decode(self, s):
"""Decodes a single string to a list of strings. :type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
if strs == []:
return '-.'
return '+&*+'.join(strs)
def decode(self, s):
"""Decodes a single string to a list of strings. :type s: str :rtype: L... | the_stack_v2_python_sparse | leetcode/String/encode-and-decode-strings.py | iCodeIN/competitive-programming-5 | train | 0 | |
c47ffbcd8a6e1bfa57fed31ba19d1a05585ef46c | [
"if isinstance(db_value, (int, long, float)):\n return datetime.datetime.fromtimestamp(db_value)\nelse:\n return super(UTC_TimestampColumn, self).dbRestore(db_value, context=context)",
"if isinstance(py_value, datetime.datetime):\n return time.mktime(py_value.timetuple())\nelse:\n return super(UTC_Tim... | <|body_start_0|>
if isinstance(db_value, (int, long, float)):
return datetime.datetime.fromtimestamp(db_value)
else:
return super(UTC_TimestampColumn, self).dbRestore(db_value, context=context)
<|end_body_0|>
<|body_start_1|>
if isinstance(py_value, datetime.datetime):
... | UTC_TimestampColumn | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UTC_TimestampColumn:
def dbRestore(self, db_value, context=None):
"""Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None"""
<|body_0|>
def dbStore(self, typ, py_value):
"""Converts the value to one that is safe to... | stack_v2_sparse_classes_36k_train_000048 | 16,562 | permissive | [
{
"docstring": "Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None",
"name": "dbRestore",
"signature": "def dbRestore(self, db_value, context=None)"
},
{
"docstring": "Converts the value to one that is safe to store on a record within the re... | 3 | null | Implement the Python class `UTC_TimestampColumn` described below.
Class description:
Implement the UTC_TimestampColumn class.
Method signatures and docstrings:
- def dbRestore(self, db_value, context=None): Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None
- def... | Implement the Python class `UTC_TimestampColumn` described below.
Class description:
Implement the UTC_TimestampColumn class.
Method signatures and docstrings:
- def dbRestore(self, db_value, context=None): Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None
- def... | 575be2689cb269e65a0a2678232ff940acc19e5a | <|skeleton|>
class UTC_TimestampColumn:
def dbRestore(self, db_value, context=None):
"""Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None"""
<|body_0|>
def dbStore(self, typ, py_value):
"""Converts the value to one that is safe to... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UTC_TimestampColumn:
def dbRestore(self, db_value, context=None):
"""Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None"""
if isinstance(db_value, (int, long, float)):
return datetime.datetime.fromtimestamp(db_value)
el... | the_stack_v2_python_sparse | orb/core/column_types/dtime.py | orb-framework/orb | train | 7 | |
20b7ba6876119169e2a6403e797dc43e9c1161ed | [
"super(PositionalEncoding, self).__init__()\nself.d_model = d_model\nself.reverse = reverse\nself.xscale = math.sqrt(self.d_model)\nself.dropout = nn.Dropout(p=dropout_rate)\nself.pe = None\nself.extend_pe(torch.tensor(0.0).expand(1, max_len))",
"if self.pe is not None:\n if self.pe.size(1) >= x.size(1):\n ... | <|body_start_0|>
super(PositionalEncoding, self).__init__()
self.d_model = d_model
self.reverse = reverse
self.xscale = math.sqrt(self.d_model)
self.dropout = nn.Dropout(p=dropout_rate)
self.pe = None
self.extend_pe(torch.tensor(0.0).expand(1, max_len))
<|end_body... | Positional encoding. Args: d_model: Embedding dimension. dropout_rate: Dropout rate. max_len: Maximum input length. reverse: Whether to reverse the input position. | PositionalEncoding | [
"LicenseRef-scancode-unknown-license-reference",
"MIT",
"LGPL-2.1-or-later",
"LicenseRef-scancode-free-unknown",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PositionalEncoding:
"""Positional encoding. Args: d_model: Embedding dimension. dropout_rate: Dropout rate. max_len: Maximum input length. reverse: Whether to reverse the input position."""
def __init__(self, d_model, dropout_rate, max_len=5000, reverse=False):
"""Construct an Positi... | stack_v2_sparse_classes_36k_train_000049 | 4,950 | permissive | [
{
"docstring": "Construct an PositionalEncoding object.",
"name": "__init__",
"signature": "def __init__(self, d_model, dropout_rate, max_len=5000, reverse=False)"
},
{
"docstring": "Reset the positional encodings.",
"name": "extend_pe",
"signature": "def extend_pe(self, x)"
},
{
... | 3 | null | Implement the Python class `PositionalEncoding` described below.
Class description:
Positional encoding. Args: d_model: Embedding dimension. dropout_rate: Dropout rate. max_len: Maximum input length. reverse: Whether to reverse the input position.
Method signatures and docstrings:
- def __init__(self, d_model, dropou... | Implement the Python class `PositionalEncoding` described below.
Class description:
Positional encoding. Args: d_model: Embedding dimension. dropout_rate: Dropout rate. max_len: Maximum input length. reverse: Whether to reverse the input position.
Method signatures and docstrings:
- def __init__(self, d_model, dropou... | b60c741f746877293bb85eed6806736fc8fa0ffd | <|skeleton|>
class PositionalEncoding:
"""Positional encoding. Args: d_model: Embedding dimension. dropout_rate: Dropout rate. max_len: Maximum input length. reverse: Whether to reverse the input position."""
def __init__(self, d_model, dropout_rate, max_len=5000, reverse=False):
"""Construct an Positi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PositionalEncoding:
"""Positional encoding. Args: d_model: Embedding dimension. dropout_rate: Dropout rate. max_len: Maximum input length. reverse: Whether to reverse the input position."""
def __init__(self, d_model, dropout_rate, max_len=5000, reverse=False):
"""Construct an PositionalEncoding ... | the_stack_v2_python_sparse | kosmos-2/fairseq/fairseq/modules/positional_encoding.py | microsoft/unilm | train | 15,313 |
e64c0b7d85446ec91df94db1a1bf23d1b449fa6c | [
"text = unicode(text.lower())\nobj = cls.query.filter_by(user_id=user_id, text=text).first()\nif obj:\n return obj\nobj = cls(user_id=user_id, text=text)\ndb.session.add(obj)\ndb.session.commit()\nreturn obj",
"if query == '':\n return []\nobjs = cls.query.filter_by(user_id=user_id)\nif query:\n query = ... | <|body_start_0|>
text = unicode(text.lower())
obj = cls.query.filter_by(user_id=user_id, text=text).first()
if obj:
return obj
obj = cls(user_id=user_id, text=text)
db.session.add(obj)
db.session.commit()
return obj
<|end_body_0|>
<|body_start_1|>
... | Email history. | EmailHistory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailHistory:
"""Email history."""
def get_or_create(cls, user_id, text):
"""Returns email history or creates a new one."""
<|body_0|>
def get_by_user(cls, user_id, query=None, limit=None):
"""Returns email history by username."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_36k_train_000050 | 12,790 | no_license | [
{
"docstring": "Returns email history or creates a new one.",
"name": "get_or_create",
"signature": "def get_or_create(cls, user_id, text)"
},
{
"docstring": "Returns email history by username.",
"name": "get_by_user",
"signature": "def get_by_user(cls, user_id, query=None, limit=None)"
... | 2 | stack_v2_sparse_classes_30k_train_009470 | Implement the Python class `EmailHistory` described below.
Class description:
Email history.
Method signatures and docstrings:
- def get_or_create(cls, user_id, text): Returns email history or creates a new one.
- def get_by_user(cls, user_id, query=None, limit=None): Returns email history by username. | Implement the Python class `EmailHistory` described below.
Class description:
Email history.
Method signatures and docstrings:
- def get_or_create(cls, user_id, text): Returns email history or creates a new one.
- def get_by_user(cls, user_id, query=None, limit=None): Returns email history by username.
<|skeleton|>
... | e3947eaf035c2b06b2cee22f18fdec81c434ee84 | <|skeleton|>
class EmailHistory:
"""Email history."""
def get_or_create(cls, user_id, text):
"""Returns email history or creates a new one."""
<|body_0|>
def get_by_user(cls, user_id, query=None, limit=None):
"""Returns email history by username."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EmailHistory:
"""Email history."""
def get_or_create(cls, user_id, text):
"""Returns email history or creates a new one."""
text = unicode(text.lower())
obj = cls.query.filter_by(user_id=user_id, text=text).first()
if obj:
return obj
obj = cls(user_id=u... | the_stack_v2_python_sparse | eucaby_api/models.py | tayduivn/eucaby | train | 0 |
1bebf5d0ceac2ebb9379f272ee52d5b9dac018d6 | [
"key = LibraryLocatorV2.from_string(lib_key_str)\ntext_search = request.query_params.get('text_search', None)\nblock_types = request.query_params.getlist('block_type') or None\napi.require_permission_for_library_key(key, request.user, permissions.CAN_VIEW_THIS_CONTENT_LIBRARY)\nresult = api.get_library_blocks(key, ... | <|body_start_0|>
key = LibraryLocatorV2.from_string(lib_key_str)
text_search = request.query_params.get('text_search', None)
block_types = request.query_params.getlist('block_type') or None
api.require_permission_for_library_key(key, request.user, permissions.CAN_VIEW_THIS_CONTENT_LIBRAR... | Views to work with XBlocks in a specific content library. | LibraryBlocksView | [
"AGPL-3.0-only",
"AGPL-3.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LibraryBlocksView:
"""Views to work with XBlocks in a specific content library."""
def get(self, request, lib_key_str):
"""Get the list of all top-level blocks in this content library"""
<|body_0|>
def post(self, request, lib_key_str):
"""Add a new XBlock to this... | stack_v2_sparse_classes_36k_train_000051 | 42,120 | permissive | [
{
"docstring": "Get the list of all top-level blocks in this content library",
"name": "get",
"signature": "def get(self, request, lib_key_str)"
},
{
"docstring": "Add a new XBlock to this content library",
"name": "post",
"signature": "def post(self, request, lib_key_str)"
}
] | 2 | null | Implement the Python class `LibraryBlocksView` described below.
Class description:
Views to work with XBlocks in a specific content library.
Method signatures and docstrings:
- def get(self, request, lib_key_str): Get the list of all top-level blocks in this content library
- def post(self, request, lib_key_str): Add... | Implement the Python class `LibraryBlocksView` described below.
Class description:
Views to work with XBlocks in a specific content library.
Method signatures and docstrings:
- def get(self, request, lib_key_str): Get the list of all top-level blocks in this content library
- def post(self, request, lib_key_str): Add... | 5809eaca7079a15ee56b0b7fcfea425337046c97 | <|skeleton|>
class LibraryBlocksView:
"""Views to work with XBlocks in a specific content library."""
def get(self, request, lib_key_str):
"""Get the list of all top-level blocks in this content library"""
<|body_0|>
def post(self, request, lib_key_str):
"""Add a new XBlock to this... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LibraryBlocksView:
"""Views to work with XBlocks in a specific content library."""
def get(self, request, lib_key_str):
"""Get the list of all top-level blocks in this content library"""
key = LibraryLocatorV2.from_string(lib_key_str)
text_search = request.query_params.get('text_s... | the_stack_v2_python_sparse | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/content_libraries/views.py | luque/better-ways-of-thinking-about-software | train | 3 |
10694a2c346c7bbf0ded084c0fbb955183e7446f | [
"m, n = (len(haystack), len(needle))\nif n == 0:\n return 0\nif m < n:\n return -1\nlps = self.compute_lps(needle)\ni = j = 0\nwhile i < m and j < n:\n if haystack[i] == needle[j]:\n i += 1\n j += 1\n elif j > 0:\n j = lps[j - 1]\n else:\n i += 1\nif j == n:\n return i ... | <|body_start_0|>
m, n = (len(haystack), len(needle))
if n == 0:
return 0
if m < n:
return -1
lps = self.compute_lps(needle)
i = j = 0
while i < m and j < n:
if haystack[i] == needle[j]:
i += 1
j += 1
... | @ Pocket Gems, Microsoft, Apple, Facebook Two Points, String Implement strStr(). Returns the index of the first occurrence of needle in haystack, or -1 if needle is not part of haystack. | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""@ Pocket Gems, Microsoft, Apple, Facebook Two Points, String Implement strStr(). Returns the index of the first occurrence of needle in haystack, or -1 if needle is not part of haystack."""
def strStr_KMP(self, haystack, needle):
"""Get the index of first occurrence of n... | stack_v2_sparse_classes_36k_train_000052 | 4,964 | no_license | [
{
"docstring": "Get the index of first occurrence of needle in haystack. :param haystack: a text of strings :param needle: a string :return: the index of first occurrence of needle in haystack.",
"name": "strStr_KMP",
"signature": "def strStr_KMP(self, haystack, needle)"
},
{
"docstring": "Compu... | 2 | null | Implement the Python class `Solution` described below.
Class description:
@ Pocket Gems, Microsoft, Apple, Facebook Two Points, String Implement strStr(). Returns the index of the first occurrence of needle in haystack, or -1 if needle is not part of haystack.
Method signatures and docstrings:
- def strStr_KMP(self, ... | Implement the Python class `Solution` described below.
Class description:
@ Pocket Gems, Microsoft, Apple, Facebook Two Points, String Implement strStr(). Returns the index of the first occurrence of needle in haystack, or -1 if needle is not part of haystack.
Method signatures and docstrings:
- def strStr_KMP(self, ... | cbe6a7e7f05eccb4f9c5fce8651c0d87e5168516 | <|skeleton|>
class Solution:
"""@ Pocket Gems, Microsoft, Apple, Facebook Two Points, String Implement strStr(). Returns the index of the first occurrence of needle in haystack, or -1 if needle is not part of haystack."""
def strStr_KMP(self, haystack, needle):
"""Get the index of first occurrence of n... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
"""@ Pocket Gems, Microsoft, Apple, Facebook Two Points, String Implement strStr(). Returns the index of the first occurrence of needle in haystack, or -1 if needle is not part of haystack."""
def strStr_KMP(self, haystack, needle):
"""Get the index of first occurrence of needle in hays... | the_stack_v2_python_sparse | src/string/leetcode28_KMP.py | apepkuss/Cracking-Leetcode-in-Python | train | 2 |
36ccda21eaa2d7ed27da4f0d666ca2af786b5327 | [
"log.info('Initialize the benchmark-operator object')\nself.args = kwargs\nself.repo = self.args.get('repo', BMO_REPO)\nself.branch = self.args.get('branch', 'master')\nself.namespace = BMO_NAME\nself.pgsql_is_setup = False\nself.ocp = OCP()\nself.ns_obj = OCP(kind='namespace')\nself.pod_obj = OCP(namespace=BMO_NAM... | <|body_start_0|>
log.info('Initialize the benchmark-operator object')
self.args = kwargs
self.repo = self.args.get('repo', BMO_REPO)
self.branch = self.args.get('branch', 'master')
self.namespace = BMO_NAME
self.pgsql_is_setup = False
self.ocp = OCP()
self... | Workload operation using Benchmark-Operator | BenchmarkOperator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BenchmarkOperator:
"""Workload operation using Benchmark-Operator"""
def __init__(self, **kwargs):
"""Initializer function. Initialize object variables, clone the benchmark operator repo. and label the worker nodes. Args: kwargs (dict): Following kwargs are valid repo: benchmark-oper... | stack_v2_sparse_classes_36k_train_000053 | 7,656 | permissive | [
{
"docstring": "Initializer function. Initialize object variables, clone the benchmark operator repo. and label the worker nodes. Args: kwargs (dict): Following kwargs are valid repo: benchmark-operator repo to used - a github link branch: branch to use from the repo Example Usage: r1 = BenchmarkOperator() r1.d... | 6 | stack_v2_sparse_classes_30k_train_001517 | Implement the Python class `BenchmarkOperator` described below.
Class description:
Workload operation using Benchmark-Operator
Method signatures and docstrings:
- def __init__(self, **kwargs): Initializer function. Initialize object variables, clone the benchmark operator repo. and label the worker nodes. Args: kwarg... | Implement the Python class `BenchmarkOperator` described below.
Class description:
Workload operation using Benchmark-Operator
Method signatures and docstrings:
- def __init__(self, **kwargs): Initializer function. Initialize object variables, clone the benchmark operator repo. and label the worker nodes. Args: kwarg... | 5e9e504957403148e413326f65c3769bf9d8eb39 | <|skeleton|>
class BenchmarkOperator:
"""Workload operation using Benchmark-Operator"""
def __init__(self, **kwargs):
"""Initializer function. Initialize object variables, clone the benchmark operator repo. and label the worker nodes. Args: kwargs (dict): Following kwargs are valid repo: benchmark-oper... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BenchmarkOperator:
"""Workload operation using Benchmark-Operator"""
def __init__(self, **kwargs):
"""Initializer function. Initialize object variables, clone the benchmark operator repo. and label the worker nodes. Args: kwargs (dict): Following kwargs are valid repo: benchmark-operator repo to ... | the_stack_v2_python_sparse | ocs_ci/ocs/benchmark_operator.py | red-hat-storage/ocs-ci | train | 146 |
ec55e7e8567fa0615f54ad5159259e02c2c55149 | [
"recipe = Recipe.get_by_id(recipe_id=recipe_id)\nif recipe is None:\n return ({'message': 'Recipe not found'}, HTTPStatus.NOT_FOUND)\ncurrent_user = get_jwt_identity()\nif recipe.is_publish == False and recipe.user_id != current_user:\n return ({'message': 'Access is not allowed'}, HTTPStatus.FORBIDDEN)\nretu... | <|body_start_0|>
recipe = Recipe.get_by_id(recipe_id=recipe_id)
if recipe is None:
return ({'message': 'Recipe not found'}, HTTPStatus.NOT_FOUND)
current_user = get_jwt_identity()
if recipe.is_publish == False and recipe.user_id != current_user:
return ({'message'... | RecipeResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RecipeResource:
def get(self, recipe_id):
"""This function sends the command GET to the backend server in order to get the requested recipe. :param: recipe_id : the id of the recipe."""
<|body_0|>
def patch(self, recipe_id):
"""Makes modifications to a preexisting re... | stack_v2_sparse_classes_36k_train_000054 | 8,070 | no_license | [
{
"docstring": "This function sends the command GET to the backend server in order to get the requested recipe. :param: recipe_id : the id of the recipe.",
"name": "get",
"signature": "def get(self, recipe_id)"
},
{
"docstring": "Makes modifications to a preexisting recipe. The JSON Web Token fr... | 3 | stack_v2_sparse_classes_30k_train_004280 | Implement the Python class `RecipeResource` described below.
Class description:
Implement the RecipeResource class.
Method signatures and docstrings:
- def get(self, recipe_id): This function sends the command GET to the backend server in order to get the requested recipe. :param: recipe_id : the id of the recipe.
- ... | Implement the Python class `RecipeResource` described below.
Class description:
Implement the RecipeResource class.
Method signatures and docstrings:
- def get(self, recipe_id): This function sends the command GET to the backend server in order to get the requested recipe. :param: recipe_id : the id of the recipe.
- ... | 875b8bc3cc5315efe8ccee8ce9b312056802c49d | <|skeleton|>
class RecipeResource:
def get(self, recipe_id):
"""This function sends the command GET to the backend server in order to get the requested recipe. :param: recipe_id : the id of the recipe."""
<|body_0|>
def patch(self, recipe_id):
"""Makes modifications to a preexisting re... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RecipeResource:
def get(self, recipe_id):
"""This function sends the command GET to the backend server in order to get the requested recipe. :param: recipe_id : the id of the recipe."""
recipe = Recipe.get_by_id(recipe_id=recipe_id)
if recipe is None:
return ({'message': 'R... | the_stack_v2_python_sparse | resources/recipe.py | ShayanRiyaz/TheDailyCook | train | 1 | |
e4b9c2768eb989fe35a7bcd58d25ead51fbb4f67 | [
"name = 'test'\nplay = player.Player(name)\nself.assertIsInstance(play, player.Player)\nself.assertEqual(play.score, 0)\nself.assertEqual(play.name, name)",
"name = 'test'\nplay = player.Player(name)\nrename = 'test2'\nres = play.rename(rename)\nexp = res == play.name\nself.assertTrue(exp)",
"name = 'test'\npla... | <|body_start_0|>
name = 'test'
play = player.Player(name)
self.assertIsInstance(play, player.Player)
self.assertEqual(play.score, 0)
self.assertEqual(play.name, name)
<|end_body_0|>
<|body_start_1|>
name = 'test'
play = player.Player(name)
rename = 'test2... | Test the class. | TestPlayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPlayer:
"""Test the class."""
def test_init_default_object(self):
"""Instantiate an object and check its properties."""
<|body_0|>
def test_rename(self):
"""Test the rename method checks if passed name is name."""
<|body_1|>
def test_get_name(sel... | stack_v2_sparse_classes_36k_train_000055 | 1,711 | permissive | [
{
"docstring": "Instantiate an object and check its properties.",
"name": "test_init_default_object",
"signature": "def test_init_default_object(self)"
},
{
"docstring": "Test the rename method checks if passed name is name.",
"name": "test_rename",
"signature": "def test_rename(self)"
... | 6 | stack_v2_sparse_classes_30k_val_000204 | Implement the Python class `TestPlayer` described below.
Class description:
Test the class.
Method signatures and docstrings:
- def test_init_default_object(self): Instantiate an object and check its properties.
- def test_rename(self): Test the rename method checks if passed name is name.
- def test_get_name(self): ... | Implement the Python class `TestPlayer` described below.
Class description:
Test the class.
Method signatures and docstrings:
- def test_init_default_object(self): Instantiate an object and check its properties.
- def test_rename(self): Test the rename method checks if passed name is name.
- def test_get_name(self): ... | 91af7c8807acba9069fb5d1204e63d96b9618141 | <|skeleton|>
class TestPlayer:
"""Test the class."""
def test_init_default_object(self):
"""Instantiate an object and check its properties."""
<|body_0|>
def test_rename(self):
"""Test the rename method checks if passed name is name."""
<|body_1|>
def test_get_name(sel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestPlayer:
"""Test the class."""
def test_init_default_object(self):
"""Instantiate an object and check its properties."""
name = 'test'
play = player.Player(name)
self.assertIsInstance(play, player.Player)
self.assertEqual(play.score, 0)
self.assertEqual(... | the_stack_v2_python_sparse | Application/player_test.py | mj6meron/dice-game-project | train | 1 |
3f186a212a0a320aaddac7c92036bc2c94a168d4 | [
"self.eta = eta\nself.epsilon = epsilon\nself.classifiers = None\nself.penalty = penalty\nself.l2_lambda = l2_lambda\nself.max_iter = max_iter\nself.verbose = verbose",
"n_classifiers = _calculate_number_classes(y)\nif self.verbose:\n print('n_classifiers', n_classifiers)\nclassifiers = []\nfor k in range(n_cl... | <|body_start_0|>
self.eta = eta
self.epsilon = epsilon
self.classifiers = None
self.penalty = penalty
self.l2_lambda = l2_lambda
self.max_iter = max_iter
self.verbose = verbose
<|end_body_0|>
<|body_start_1|>
n_classifiers = _calculate_number_classes(y)
... | Implements multiclass logistic regression. This version stores the binary Logistic Regression classifiers fit to each class, and it uses the classifiers directly for predictions. | MulticlassLogisticRegression | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MulticlassLogisticRegression:
"""Implements multiclass logistic regression. This version stores the binary Logistic Regression classifiers fit to each class, and it uses the classifiers directly for predictions."""
def __init__(self, eta, epsilon, penalty=None, l2_lambda=0, max_iter=100, ver... | stack_v2_sparse_classes_36k_train_000056 | 7,643 | no_license | [
{
"docstring": "Initializes an instance. :param eta: float, learning rate :param epsilon: float, convergence threshold :param penalty: str, penalty type to use. Default is None. Current implementation allows 'l2'. :param l2_lambda: float, value of l2 penalty if that penalty is used. Default is 0. :param max_ite... | 4 | stack_v2_sparse_classes_30k_train_005558 | Implement the Python class `MulticlassLogisticRegression` described below.
Class description:
Implements multiclass logistic regression. This version stores the binary Logistic Regression classifiers fit to each class, and it uses the classifiers directly for predictions.
Method signatures and docstrings:
- def __ini... | Implement the Python class `MulticlassLogisticRegression` described below.
Class description:
Implements multiclass logistic regression. This version stores the binary Logistic Regression classifiers fit to each class, and it uses the classifiers directly for predictions.
Method signatures and docstrings:
- def __ini... | 13bccaec8d90e70715d2d8791c9098ff141ae377 | <|skeleton|>
class MulticlassLogisticRegression:
"""Implements multiclass logistic regression. This version stores the binary Logistic Regression classifiers fit to each class, and it uses the classifiers directly for predictions."""
def __init__(self, eta, epsilon, penalty=None, l2_lambda=0, max_iter=100, ver... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MulticlassLogisticRegression:
"""Implements multiclass logistic regression. This version stores the binary Logistic Regression classifiers fit to each class, and it uses the classifiers directly for predictions."""
def __init__(self, eta, epsilon, penalty=None, l2_lambda=0, max_iter=100, verbose=False):
... | the_stack_v2_python_sparse | packages/linear_model/MulticlassLogisticRegression.py | ryanquinnnelson/CMU-02620-Taxonomic-Binning-for-Metagenomics | train | 0 |
72e145095956267476b7ebf802d0115640cb0378 | [
"if type(point) == type(list()) or type(point) == type(set):\n if keys_only:\n return [db.GqlQuery('SELECT __key__ FROM RoutePoint WHERE point = :1', db.GeoPt(round(p.lat, PRECISION), round(p.lon, PRECISION))).get() for p in point]\n return [RoutePoint.gql('WHERE point = :1', db.GeoPt(round(p.lat, PREC... | <|body_start_0|>
if type(point) == type(list()) or type(point) == type(set):
if keys_only:
return [db.GqlQuery('SELECT __key__ FROM RoutePoint WHERE point = :1', db.GeoPt(round(p.lat, PRECISION), round(p.lon, PRECISION))).get() for p in point]
return [RoutePoint.gql('WHER... | Helper function for :class:`RoutePoint`, accesed by :class:`RoutePoint.objects` | RoutePointHelper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RoutePointHelper:
"""Helper function for :class:`RoutePoint`, accesed by :class:`RoutePoint.objects`"""
def get(self, point, keys_only=False):
"""Returns the :class:`RoutePoint` for this point or list of poitns :param point: point or list searching :type point: :class:`db.GeoPt` :par... | stack_v2_sparse_classes_36k_train_000057 | 19,846 | no_license | [
{
"docstring": "Returns the :class:`RoutePoint` for this point or list of poitns :param point: point or list searching :type point: :class:`db.GeoPt` :param keys_only: True if only wants instances' keys :type keys_only: bool :returns: None or :class:`RoutePoint`",
"name": "get",
"signature": "def get(se... | 2 | stack_v2_sparse_classes_30k_train_006849 | Implement the Python class `RoutePointHelper` described below.
Class description:
Helper function for :class:`RoutePoint`, accesed by :class:`RoutePoint.objects`
Method signatures and docstrings:
- def get(self, point, keys_only=False): Returns the :class:`RoutePoint` for this point or list of poitns :param point: po... | Implement the Python class `RoutePointHelper` described below.
Class description:
Helper function for :class:`RoutePoint`, accesed by :class:`RoutePoint.objects`
Method signatures and docstrings:
- def get(self, point, keys_only=False): Returns the :class:`RoutePoint` for this point or list of poitns :param point: po... | d441693eedb32c36fe853895110df808a9959941 | <|skeleton|>
class RoutePointHelper:
"""Helper function for :class:`RoutePoint`, accesed by :class:`RoutePoint.objects`"""
def get(self, point, keys_only=False):
"""Returns the :class:`RoutePoint` for this point or list of poitns :param point: point or list searching :type point: :class:`db.GeoPt` :par... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RoutePointHelper:
"""Helper function for :class:`RoutePoint`, accesed by :class:`RoutePoint.objects`"""
def get(self, point, keys_only=False):
"""Returns the :class:`RoutePoint` for this point or list of poitns :param point: point or list searching :type point: :class:`db.GeoPt` :param keys_only:... | the_stack_v2_python_sparse | src/webapp/georoute/models.py | GeoRemindMe/GeoRemindMe_Web | train | 8 |
8718d7ebfd7c971ab7416f4666f5b80f320e1bfa | [
"if not root:\n return None\nleft = root.left\nright = root.right\nroot.left = None\nroot.right = left\nself.flatten(left)\nwhile root.right:\n root = root.right\nroot.right = right\nself.flatten(right)",
"stack = [root] if root else []\nwhile stack:\n tree = stack.pop()\n if tree.right:\n stac... | <|body_start_0|>
if not root:
return None
left = root.left
right = root.right
root.left = None
root.right = left
self.flatten(left)
while root.right:
root = root.right
root.right = right
self.flatten(right)
<|end_body_0|>
<... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def flatten(self, root: TreeNode) -> None:
"""Do not return anything, modify root in-place instead. 递归算法，注意要把右节点关联； :param root: :return:"""
<|body_0|>
def flatten_stack(self, root: TreeNode) -> None:
"""Do not return anything, modify root in-place instead.... | stack_v2_sparse_classes_36k_train_000058 | 1,516 | no_license | [
{
"docstring": "Do not return anything, modify root in-place instead. 递归算法，注意要把右节点关联； :param root: :return:",
"name": "flatten",
"signature": "def flatten(self, root: TreeNode) -> None"
},
{
"docstring": "Do not return anything, modify root in-place instead. 栈，依次压缩，先进后出，也可以用队列，一样的。 :param root: ... | 2 | stack_v2_sparse_classes_30k_train_010673 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def flatten(self, root: TreeNode) -> None: Do not return anything, modify root in-place instead. 递归算法，注意要把右节点关联； :param root: :return:
- def flatten_stack(self, root: TreeNode) -... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def flatten(self, root: TreeNode) -> None: Do not return anything, modify root in-place instead. 递归算法，注意要把右节点关联； :param root: :return:
- def flatten_stack(self, root: TreeNode) -... | f2c162654a83c51495ebd161f42a1d0b69caf72d | <|skeleton|>
class Solution:
def flatten(self, root: TreeNode) -> None:
"""Do not return anything, modify root in-place instead. 递归算法，注意要把右节点关联； :param root: :return:"""
<|body_0|>
def flatten_stack(self, root: TreeNode) -> None:
"""Do not return anything, modify root in-place instead.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def flatten(self, root: TreeNode) -> None:
"""Do not return anything, modify root in-place instead. 递归算法，注意要把右节点关联； :param root: :return:"""
if not root:
return None
left = root.left
right = root.right
root.left = None
root.right = left
... | the_stack_v2_python_sparse | 114 flatten.py | ABenxj/leetcode | train | 1 | |
ae969a4cd5942ec4f9630e9df878edadebf26267 | [
"m = len(s)\nif m <= 1:\n return m\nself.memo = set()\ntot = 0\nfor i in range(m):\n for j in range(i + 1, m + 1):\n if self.isPalindrome_memo(s, i, j):\n tot += 1\nreturn tot",
"if (i, j) in self.memo:\n return True\nm = len(s)\nif not (i >= 0 and j <= m):\n return False\nif i == j:... | <|body_start_0|>
m = len(s)
if m <= 1:
return m
self.memo = set()
tot = 0
for i in range(m):
for j in range(i + 1, m + 1):
if self.isPalindrome_memo(s, i, j):
tot += 1
return tot
<|end_body_0|>
<|body_start_1|>
... | method 3, with memoization, still time out | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""method 3, with memoization, still time out"""
def countSubstrings(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def isPalindrome_memo(self, s, i, j):
"""is s[i:j] a palindrome?"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
m... | stack_v2_sparse_classes_36k_train_000059 | 5,241 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "countSubstrings",
"signature": "def countSubstrings(self, s)"
},
{
"docstring": "is s[i:j] a palindrome?",
"name": "isPalindrome_memo",
"signature": "def isPalindrome_memo(self, s, i, j)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004766 | Implement the Python class `Solution` described below.
Class description:
method 3, with memoization, still time out
Method signatures and docstrings:
- def countSubstrings(self, s): :type s: str :rtype: int
- def isPalindrome_memo(self, s, i, j): is s[i:j] a palindrome? | Implement the Python class `Solution` described below.
Class description:
method 3, with memoization, still time out
Method signatures and docstrings:
- def countSubstrings(self, s): :type s: str :rtype: int
- def isPalindrome_memo(self, s, i, j): is s[i:j] a palindrome?
<|skeleton|>
class Solution:
"""method 3,... | e00cf94c5b86c8cca27e3bee69ad21e727b7679b | <|skeleton|>
class Solution:
"""method 3, with memoization, still time out"""
def countSubstrings(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def isPalindrome_memo(self, s, i, j):
"""is s[i:j] a palindrome?"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
"""method 3, with memoization, still time out"""
def countSubstrings(self, s):
""":type s: str :rtype: int"""
m = len(s)
if m <= 1:
return m
self.memo = set()
tot = 0
for i in range(m):
for j in range(i + 1, m + 1):
... | the_stack_v2_python_sparse | strings/prob647.py | binchen15/leet-python | train | 1 |
9be5b4cff2d653ec53aa4fb994f953c190cd407b | [
"shortcut = data\nbm1 = BatchNormalization(axis=chanDim, epsilon=bnEps, momentum=bnMom)(data)\nact1 = Activation('relu')(bm1)\nconv1 = Conv2D(int(K * 0.25), (1, 1), use_bias=False, kernel_regularizer=l2(reg))(act1)\nbn2 = BatchNormalization(axis=chanDim, epsilon=bnEps, momentum=bnMom)(conv1)\nact2 = Activation('rel... | <|body_start_0|>
shortcut = data
bm1 = BatchNormalization(axis=chanDim, epsilon=bnEps, momentum=bnMom)(data)
act1 = Activation('relu')(bm1)
conv1 = Conv2D(int(K * 0.25), (1, 1), use_bias=False, kernel_regularizer=l2(reg))(act1)
bn2 = BatchNormalization(axis=chanDim, epsilon=bnEps... | ResNet | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResNet:
def residual_module(data, K, stride, chanDim, red=False, reg=0.0001, bnEps=2e-05, bnMom=0.9):
"""Args: data: input K: number of output, aka filters stride: convolution stride chanDim: channel dimension red: sign whether this module response to reduce spatial dimension bnEps: bn l... | stack_v2_sparse_classes_36k_train_000060 | 3,786 | permissive | [
{
"docstring": "Args: data: input K: number of output, aka filters stride: convolution stride chanDim: channel dimension red: sign whether this module response to reduce spatial dimension bnEps: bn layer eps bnMon: bn layer momentum",
"name": "residual_module",
"signature": "def residual_module(data, K,... | 2 | null | Implement the Python class `ResNet` described below.
Class description:
Implement the ResNet class.
Method signatures and docstrings:
- def residual_module(data, K, stride, chanDim, red=False, reg=0.0001, bnEps=2e-05, bnMom=0.9): Args: data: input K: number of output, aka filters stride: convolution stride chanDim: c... | Implement the Python class `ResNet` described below.
Class description:
Implement the ResNet class.
Method signatures and docstrings:
- def residual_module(data, K, stride, chanDim, red=False, reg=0.0001, bnEps=2e-05, bnMom=0.9): Args: data: input K: number of output, aka filters stride: convolution stride chanDim: c... | 69727d76fd652390d9660e9ea4354ba5cc76dd5c | <|skeleton|>
class ResNet:
def residual_module(data, K, stride, chanDim, red=False, reg=0.0001, bnEps=2e-05, bnMom=0.9):
"""Args: data: input K: number of output, aka filters stride: convolution stride chanDim: channel dimension red: sign whether this module response to reduce spatial dimension bnEps: bn l... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ResNet:
def residual_module(data, K, stride, chanDim, red=False, reg=0.0001, bnEps=2e-05, bnMom=0.9):
"""Args: data: input K: number of output, aka filters stride: convolution stride chanDim: channel dimension red: sign whether this module response to reduce spatial dimension bnEps: bn layer eps bnMon... | the_stack_v2_python_sparse | books/dl-for-cv-with-python/network/pyimage/nn/conv/resnet.py | Bingwen-Hu/hackaway | train | 0 | |
074723f526b205c1a680fccc6c0c61f2f2fc7011 | [
"certPath = '..\\\\testCerts\\\\caBasicConstNotCrit.pem'\nlint_basic_constraints_not_critical.init()\nwith open(certPath, 'rb') as f:\n cert = x509.load_pem_x509_certificate(f.read(), default_backend())\n out = base.Lints['e_basic_constraints_not_critical'].Execute(cert)\n self.assertEqual(base.LintStatus.... | <|body_start_0|>
certPath = '..\\testCerts\\caBasicConstNotCrit.pem'
lint_basic_constraints_not_critical.init()
with open(certPath, 'rb') as f:
cert = x509.load_pem_x509_certificate(f.read(), default_backend())
out = base.Lints['e_basic_constraints_not_critical'].Execute(... | Test lint_basic_constraints_not_critical.py | test_lint_basic_constraints_not_critical | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class test_lint_basic_constraints_not_critical:
"""Test lint_basic_constraints_not_critical.py"""
def test_BasicConstNotCrit(self):
"""Test BasicConstNotCrit"""
<|body_0|>
def test_BasicConstCrit(self):
"""Test lint_basic_constraints_critical.py"""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_000061 | 1,324 | no_license | [
{
"docstring": "Test BasicConstNotCrit",
"name": "test_BasicConstNotCrit",
"signature": "def test_BasicConstNotCrit(self)"
},
{
"docstring": "Test lint_basic_constraints_critical.py",
"name": "test_BasicConstCrit",
"signature": "def test_BasicConstCrit(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001058 | Implement the Python class `test_lint_basic_constraints_not_critical` described below.
Class description:
Test lint_basic_constraints_not_critical.py
Method signatures and docstrings:
- def test_BasicConstNotCrit(self): Test BasicConstNotCrit
- def test_BasicConstCrit(self): Test lint_basic_constraints_critical.py | Implement the Python class `test_lint_basic_constraints_not_critical` described below.
Class description:
Test lint_basic_constraints_not_critical.py
Method signatures and docstrings:
- def test_BasicConstNotCrit(self): Test BasicConstNotCrit
- def test_BasicConstCrit(self): Test lint_basic_constraints_critical.py
<... | c7e7ca27e5d04bbaa4e7ad71d8e86ec5c9388987 | <|skeleton|>
class test_lint_basic_constraints_not_critical:
"""Test lint_basic_constraints_not_critical.py"""
def test_BasicConstNotCrit(self):
"""Test BasicConstNotCrit"""
<|body_0|>
def test_BasicConstCrit(self):
"""Test lint_basic_constraints_critical.py"""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class test_lint_basic_constraints_not_critical:
"""Test lint_basic_constraints_not_critical.py"""
def test_BasicConstNotCrit(self):
"""Test BasicConstNotCrit"""
certPath = '..\\testCerts\\caBasicConstNotCrit.pem'
lint_basic_constraints_not_critical.init()
with open(certPath, 'rb... | the_stack_v2_python_sparse | testlints/test_lint_basic_constraints_not_critical.py | 846468230/Plint | train | 1 |
5f36143ce6ac8912a92f1fc74193b40e0de86b37 | [
"raw_config = self.config.to_dict()\nraw_config.type = self.config.type\nmap_dict = LossMappingDict()\nself.map_config = ConfigBackendMapping(map_dict.type_mapping_dict, map_dict.params_mapping_dict).backend_mapping(raw_config)\nself._cls = ClassFactory.get_cls(ClassType.LOSS, self.map_config.type)",
"params = se... | <|body_start_0|>
raw_config = self.config.to_dict()
raw_config.type = self.config.type
map_dict = LossMappingDict()
self.map_config = ConfigBackendMapping(map_dict.type_mapping_dict, map_dict.params_mapping_dict).backend_mapping(raw_config)
self._cls = ClassFactory.get_cls(ClassT... | Register and call loss class. | Loss | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Loss:
"""Register and call loss class."""
def __init__(self):
"""Initialize."""
<|body_0|>
def __call__(self):
"""Call loss cls."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
raw_config = self.config.to_dict()
raw_config.type = self.co... | stack_v2_sparse_classes_36k_train_000062 | 2,965 | permissive | [
{
"docstring": "Initialize.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Call loss cls.",
"name": "__call__",
"signature": "def __call__(self)"
}
] | 2 | null | Implement the Python class `Loss` described below.
Class description:
Register and call loss class.
Method signatures and docstrings:
- def __init__(self): Initialize.
- def __call__(self): Call loss cls. | Implement the Python class `Loss` described below.
Class description:
Register and call loss class.
Method signatures and docstrings:
- def __init__(self): Initialize.
- def __call__(self): Call loss cls.
<|skeleton|>
class Loss:
"""Register and call loss class."""
def __init__(self):
"""Initialize.... | 12e37a1991eb6771a2999fe0a46ddda920c47948 | <|skeleton|>
class Loss:
"""Register and call loss class."""
def __init__(self):
"""Initialize."""
<|body_0|>
def __call__(self):
"""Call loss cls."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Loss:
"""Register and call loss class."""
def __init__(self):
"""Initialize."""
raw_config = self.config.to_dict()
raw_config.type = self.config.type
map_dict = LossMappingDict()
self.map_config = ConfigBackendMapping(map_dict.type_mapping_dict, map_dict.params_map... | the_stack_v2_python_sparse | vega/modules/loss/loss.py | huawei-noah/vega | train | 850 |
896d982665ddacfd00e271fcae2e6ee926006087 | [
"args = self._gcloud_command\nlogging.info('Testapp sent: %s', ' '.join(args))\nresult = subprocess.run(args=args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, check=False)\nlogging.info('Finished: %s\\n%s', ' '.join(args), result.stdout)\nif result.returncode:\n logging.error('gCloud returned no... | <|body_start_0|>
args = self._gcloud_command
logging.info('Testapp sent: %s', ' '.join(args))
result = subprocess.run(args=args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, check=False)
logging.info('Finished: %s\n%s', ' '.join(args), result.stdout)
if result.ret... | Holds data related to the testing of one testapp. | Test | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test:
"""Holds data related to the testing of one testapp."""
def run(self):
"""Send the testapp to FTL for testing and wait for it to finish."""
<|body_0|>
def _gcloud_command(self):
"""Returns the args to send this testapp to FTL on the command line."""
... | stack_v2_sparse_classes_36k_train_000063 | 11,722 | permissive | [
{
"docstring": "Send the testapp to FTL for testing and wait for it to finish.",
"name": "run",
"signature": "def run(self)"
},
{
"docstring": "Returns the args to send this testapp to FTL on the command line.",
"name": "_gcloud_command",
"signature": "def _gcloud_command(self)"
},
{... | 3 | stack_v2_sparse_classes_30k_train_007112 | Implement the Python class `Test` described below.
Class description:
Holds data related to the testing of one testapp.
Method signatures and docstrings:
- def run(self): Send the testapp to FTL for testing and wait for it to finish.
- def _gcloud_command(self): Returns the args to send this testapp to FTL on the com... | Implement the Python class `Test` described below.
Class description:
Holds data related to the testing of one testapp.
Method signatures and docstrings:
- def run(self): Send the testapp to FTL for testing and wait for it to finish.
- def _gcloud_command(self): Returns the args to send this testapp to FTL on the com... | 2cb4b45dd14a230aa0e800042e893f8dfb23beda | <|skeleton|>
class Test:
"""Holds data related to the testing of one testapp."""
def run(self):
"""Send the testapp to FTL for testing and wait for it to finish."""
<|body_0|>
def _gcloud_command(self):
"""Returns the args to send this testapp to FTL on the command line."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test:
"""Holds data related to the testing of one testapp."""
def run(self):
"""Send the testapp to FTL for testing and wait for it to finish."""
args = self._gcloud_command
logging.info('Testapp sent: %s', ' '.join(args))
result = subprocess.run(args=args, stdout=subproce... | the_stack_v2_python_sparse | MY_REPOS/misc-experiments/_FIREBFIRE/firebase-unity-sdk/scripts/gha/test_lab.py | bgoonz/UsefulResourceRepo2.0 | train | 10 |
942f7e2ac06f33815a91e6f04e0527deb23a6d66 | [
"expected_shape = (1, 5, 5)\nplugin = RecursiveFilter(iterations=self.iterations)\nresult = plugin(self.cube, smoothing_coefficients=self.smoothing_coefficients)\nself.assertIsInstance(result, Cube)\nself.assertEqual(result.shape, expected_shape)\nself.assertEqual(result.shape, expected_shape)",
"plugin = Recursi... | <|body_start_0|>
expected_shape = (1, 5, 5)
plugin = RecursiveFilter(iterations=self.iterations)
result = plugin(self.cube, smoothing_coefficients=self.smoothing_coefficients)
self.assertIsInstance(result, Cube)
self.assertEqual(result.shape, expected_shape)
self.assertEq... | Test the process method. | Test_process | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_process:
"""Test the process method."""
def test_return_type_and_shape(self):
"""Test that the RecursiveFilter plugin returns an iris.cube.Cube of the expected shape."""
<|body_0|>
def test_smoothing_coefficient_cubes(self):
"""Test that the RecursiveFilter ... | stack_v2_sparse_classes_36k_train_000064 | 22,857 | permissive | [
{
"docstring": "Test that the RecursiveFilter plugin returns an iris.cube.Cube of the expected shape.",
"name": "test_return_type_and_shape",
"signature": "def test_return_type_and_shape(self)"
},
{
"docstring": "Test that the RecursiveFilter plugin returns the correct data.",
"name": "test_... | 5 | null | Implement the Python class `Test_process` described below.
Class description:
Test the process method.
Method signatures and docstrings:
- def test_return_type_and_shape(self): Test that the RecursiveFilter plugin returns an iris.cube.Cube of the expected shape.
- def test_smoothing_coefficient_cubes(self): Test that... | Implement the Python class `Test_process` described below.
Class description:
Test the process method.
Method signatures and docstrings:
- def test_return_type_and_shape(self): Test that the RecursiveFilter plugin returns an iris.cube.Cube of the expected shape.
- def test_smoothing_coefficient_cubes(self): Test that... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test_process:
"""Test the process method."""
def test_return_type_and_shape(self):
"""Test that the RecursiveFilter plugin returns an iris.cube.Cube of the expected shape."""
<|body_0|>
def test_smoothing_coefficient_cubes(self):
"""Test that the RecursiveFilter ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test_process:
"""Test the process method."""
def test_return_type_and_shape(self):
"""Test that the RecursiveFilter plugin returns an iris.cube.Cube of the expected shape."""
expected_shape = (1, 5, 5)
plugin = RecursiveFilter(iterations=self.iterations)
result = plugin(se... | the_stack_v2_python_sparse | improver_tests/nbhood/recursive_filter/test_RecursiveFilter.py | metoppv/improver | train | 101 |
0e854a71321f5444b3a2f992ed4427f0f0f830c8 | [
"self.run.start()\ncurrent_stage = self.run.start_stage\ntry:\n intent_input = self.intent_input\n if current_stage == PipelineStage.STT:\n assert self.stt_metadata is not None\n assert self.stt_stream is not None\n intent_input = await self.run.speech_to_text(self.stt_metadata, self.stt_... | <|body_start_0|>
self.run.start()
current_stage = self.run.start_stage
try:
intent_input = self.intent_input
if current_stage == PipelineStage.STT:
assert self.stt_metadata is not None
assert self.stt_stream is not None
inte... | Input to a pipeline run. | PipelineInput | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PipelineInput:
"""Input to a pipeline run."""
async def execute(self) -> None:
"""Run pipeline."""
<|body_0|>
async def validate(self) -> None:
"""Validate pipeline input against start stage."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.... | stack_v2_sparse_classes_36k_train_000065 | 31,871 | permissive | [
{
"docstring": "Run pipeline.",
"name": "execute",
"signature": "async def execute(self) -> None"
},
{
"docstring": "Validate pipeline input against start stage.",
"name": "validate",
"signature": "async def validate(self) -> None"
}
] | 2 | stack_v2_sparse_classes_30k_train_019132 | Implement the Python class `PipelineInput` described below.
Class description:
Input to a pipeline run.
Method signatures and docstrings:
- async def execute(self) -> None: Run pipeline.
- async def validate(self) -> None: Validate pipeline input against start stage. | Implement the Python class `PipelineInput` described below.
Class description:
Input to a pipeline run.
Method signatures and docstrings:
- async def execute(self) -> None: Run pipeline.
- async def validate(self) -> None: Validate pipeline input against start stage.
<|skeleton|>
class PipelineInput:
"""Input to... | 2e65b77b2b5c17919939481f327963abdfdc53f0 | <|skeleton|>
class PipelineInput:
"""Input to a pipeline run."""
async def execute(self) -> None:
"""Run pipeline."""
<|body_0|>
async def validate(self) -> None:
"""Validate pipeline input against start stage."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PipelineInput:
"""Input to a pipeline run."""
async def execute(self) -> None:
"""Run pipeline."""
self.run.start()
current_stage = self.run.start_stage
try:
intent_input = self.intent_input
if current_stage == PipelineStage.STT:
ass... | the_stack_v2_python_sparse | homeassistant/components/assist_pipeline/pipeline.py | konnected-io/home-assistant | train | 24 |
45495d78dc570079e39a7f66c7581619565bd988 | [
"self.var_dict = self.get_raw_dict()\npuller_params = default_config.DEFAULT_PULLER_CONF.copy()\ndb_params = default_config.DEFAULT_DB_CONF.copy()\ntry:\n puller_params.update(self.get_dict('puller'))\n db_params.update(self.get_dict('database'))\nexcept ValueError as error_info:\n sys.stderr.write(error_i... | <|body_start_0|>
self.var_dict = self.get_raw_dict()
puller_params = default_config.DEFAULT_PULLER_CONF.copy()
db_params = default_config.DEFAULT_DB_CONF.copy()
try:
puller_params.update(self.get_dict('puller'))
db_params.update(self.get_dict('database'))
... | StorageConfigParser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StorageConfigParser:
def config_parse(self):
"""parse configuration from config file and default config"""
<|body_0|>
def get_db_from_config(self):
"""get database connection instance from config"""
<|body_1|>
def get_puller_from_config(self):
""... | stack_v2_sparse_classes_36k_train_000066 | 1,624 | no_license | [
{
"docstring": "parse configuration from config file and default config",
"name": "config_parse",
"signature": "def config_parse(self)"
},
{
"docstring": "get database connection instance from config",
"name": "get_db_from_config",
"signature": "def get_db_from_config(self)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_011039 | Implement the Python class `StorageConfigParser` described below.
Class description:
Implement the StorageConfigParser class.
Method signatures and docstrings:
- def config_parse(self): parse configuration from config file and default config
- def get_db_from_config(self): get database connection instance from config... | Implement the Python class `StorageConfigParser` described below.
Class description:
Implement the StorageConfigParser class.
Method signatures and docstrings:
- def config_parse(self): parse configuration from config file and default config
- def get_db_from_config(self): get database connection instance from config... | 8819fc30456b4bb8576a4c78798ec91cdc8ac062 | <|skeleton|>
class StorageConfigParser:
def config_parse(self):
"""parse configuration from config file and default config"""
<|body_0|>
def get_db_from_config(self):
"""get database connection instance from config"""
<|body_1|>
def get_puller_from_config(self):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StorageConfigParser:
def config_parse(self):
"""parse configuration from config file and default config"""
self.var_dict = self.get_raw_dict()
puller_params = default_config.DEFAULT_PULLER_CONF.copy()
db_params = default_config.DEFAULT_DB_CONF.copy()
try:
pu... | the_stack_v2_python_sparse | storage/config/config_parser.py | zhxfei/monitor | train | 1 | |
6b8eb61529efe07a400cf6b1ca9a4fcdf2a56e87 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn CallRecordingEventMessageDetail()",
"from .call_recording_status import CallRecordingStatus\nfrom .event_message_detail import EventMessageDetail\nfrom .identity_set import IdentitySet\nfrom .call_recording_status import CallRecordingS... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return CallRecordingEventMessageDetail()
<|end_body_0|>
<|body_start_1|>
from .call_recording_status import CallRecordingStatus
from .event_message_detail import EventMessageDetail
from... | CallRecordingEventMessageDetail | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CallRecordingEventMessageDetail:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> CallRecordingEventMessageDetail:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator... | stack_v2_sparse_classes_36k_train_000067 | 4,271 | 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: CallRecordingEventMessageDetail",
"name": "create_from_discriminator_value",
"signature": "def create_from_d... | 3 | stack_v2_sparse_classes_30k_train_019672 | Implement the Python class `CallRecordingEventMessageDetail` described below.
Class description:
Implement the CallRecordingEventMessageDetail class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> CallRecordingEventMessageDetail: Creates a new instance... | Implement the Python class `CallRecordingEventMessageDetail` described below.
Class description:
Implement the CallRecordingEventMessageDetail class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> CallRecordingEventMessageDetail: Creates a new instance... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class CallRecordingEventMessageDetail:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> CallRecordingEventMessageDetail:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CallRecordingEventMessageDetail:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> CallRecordingEventMessageDetail:
"""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 cre... | the_stack_v2_python_sparse | msgraph/generated/models/call_recording_event_message_detail.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
4a2ade274fe6ba884361e17cba7132e023e8c16f | [
"if type(ids) != str:\n raise ValueError('ids must be a comma separated string. E.g. ids=BTC,ETH,XRP')\nif interval and type(interval) != str:\n raise ValueError('interval must be a comma separated string. E.g. 1d,7d,30d,365d,ytd')\nurl = self.client.get_url('currencies/ticker')\nparams = {'ids': ids, 'interv... | <|body_start_0|>
if type(ids) != str:
raise ValueError('ids must be a comma separated string. E.g. ids=BTC,ETH,XRP')
if interval and type(interval) != str:
raise ValueError('interval must be a comma separated string. E.g. 1d,7d,30d,365d,ytd')
url = self.client.get_url('cu... | Currencies | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Currencies:
def get_currencies(self, ids, interval=None, convert=None, status=None, filter=None, sort=None, include_transparency=False, per_page=None, page=None):
"""Returns price, volume, market cap, and rank for all currencies :param str ids: Comma separated list of Nomics Currency IDs... | stack_v2_sparse_classes_36k_train_000068 | 5,647 | permissive | [
{
"docstring": "Returns price, volume, market cap, and rank for all currencies :param str ids: Comma separated list of Nomics Currency IDs to filter result rows. :param str interval: Comma separated time interval of the ticker(s). Default is 1d,7d,30d,365d,ytd :param str convert: Currency to quote ticker price,... | 4 | stack_v2_sparse_classes_30k_train_008606 | Implement the Python class `Currencies` described below.
Class description:
Implement the Currencies class.
Method signatures and docstrings:
- def get_currencies(self, ids, interval=None, convert=None, status=None, filter=None, sort=None, include_transparency=False, per_page=None, page=None): Returns price, volume, ... | Implement the Python class `Currencies` described below.
Class description:
Implement the Currencies class.
Method signatures and docstrings:
- def get_currencies(self, ids, interval=None, convert=None, status=None, filter=None, sort=None, include_transparency=False, per_page=None, page=None): Returns price, volume, ... | 70d864b83a0384be2120cbfddc26d55cc1e22065 | <|skeleton|>
class Currencies:
def get_currencies(self, ids, interval=None, convert=None, status=None, filter=None, sort=None, include_transparency=False, per_page=None, page=None):
"""Returns price, volume, market cap, and rank for all currencies :param str ids: Comma separated list of Nomics Currency IDs... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Currencies:
def get_currencies(self, ids, interval=None, convert=None, status=None, filter=None, sort=None, include_transparency=False, per_page=None, page=None):
"""Returns price, volume, market cap, and rank for all currencies :param str ids: Comma separated list of Nomics Currency IDs to filter res... | the_stack_v2_python_sparse | nomics/api/currencies.py | luisriverag/nomics-python | train | 0 | |
471f4eded8f0544aee26a138ae1cfcbdfabfc60e | [
"super(ComposePromoter, self).__init__(client, working_dir)\nself.compose_url = compose_url\nself.supported_promotions = [{'candidate': 'latest-compose', 'target': 'centos-ci-testing'}]",
"try:\n latest_compose_id = urllib.request.urlopen(self.compose_url).readline().decode('utf-8')\nexcept Exception:\n msg... | <|body_start_0|>
super(ComposePromoter, self).__init__(client, working_dir)
self.compose_url = compose_url
self.supported_promotions = [{'candidate': 'latest-compose', 'target': 'centos-ci-testing'}]
<|end_body_0|>
<|body_start_1|>
try:
latest_compose_id = urllib.request.url... | CentOS compose promoter class. | ComposePromoter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ComposePromoter:
"""CentOS compose promoter class."""
def __init__(self, client, working_dir, compose_url=None):
"""Instantiate a new compose promoter. :param client: client to be used for file operations :param working_dir: working directory to perform file operations :param compose... | stack_v2_sparse_classes_36k_train_000069 | 1,989 | permissive | [
{
"docstring": "Instantiate a new compose promoter. :param client: client to be used for file operations :param working_dir: working directory to perform file operations :param compose_url: url used to fetch latest compose-id for an specific distro.",
"name": "__init__",
"signature": "def __init__(self,... | 3 | stack_v2_sparse_classes_30k_train_006718 | Implement the Python class `ComposePromoter` described below.
Class description:
CentOS compose promoter class.
Method signatures and docstrings:
- def __init__(self, client, working_dir, compose_url=None): Instantiate a new compose promoter. :param client: client to be used for file operations :param working_dir: wo... | Implement the Python class `ComposePromoter` described below.
Class description:
CentOS compose promoter class.
Method signatures and docstrings:
- def __init__(self, client, working_dir, compose_url=None): Instantiate a new compose promoter. :param client: client to be used for file operations :param working_dir: wo... | b50bfb6ad52300243876113b1a247e7cff2c0805 | <|skeleton|>
class ComposePromoter:
"""CentOS compose promoter class."""
def __init__(self, client, working_dir, compose_url=None):
"""Instantiate a new compose promoter. :param client: client to be used for file operations :param working_dir: working directory to perform file operations :param compose... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ComposePromoter:
"""CentOS compose promoter class."""
def __init__(self, client, working_dir, compose_url=None):
"""Instantiate a new compose promoter. :param client: client to be used for file operations :param working_dir: working directory to perform file operations :param compose_url: url use... | the_stack_v2_python_sparse | ci-scripts/infra-setup/roles/artifact_promoter/module_utils/artifact_promoter/compose_promoter.py | rdo-infra/ci-config | train | 8 |
2dfc0acf4f820926a52628ddff7e3e74ce11051d | [
"self.conference_id = conference_id\nself.name = name\nself.event_type = event_type\nself.event_time = event_time\nself.tag = tag\nself.call_id = call_id\nself.to = to\nself.mfrom = mfrom\nself.account_id = account_id\nself.recording_id = recording_id\nself.channels = channels\nself.start_time = start_time\nself.en... | <|body_start_0|>
self.conference_id = conference_id
self.name = name
self.event_type = event_type
self.event_time = event_time
self.tag = tag
self.call_id = call_id
self.to = to
self.mfrom = mfrom
self.account_id = account_id
self.recording... | Implementation of the 'ConferenceCallback' model. This object represents all possible fields that may be included in callbacks related to conference events Attributes: conference_id (string): TODO: type description here. name (string): TODO: type description here. event_type (string): TODO: type description here. event... | ConferenceCallback | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConferenceCallback:
"""Implementation of the 'ConferenceCallback' model. This object represents all possible fields that may be included in callbacks related to conference events Attributes: conference_id (string): TODO: type description here. name (string): TODO: type description here. event_typ... | stack_v2_sparse_classes_36k_train_000070 | 5,207 | permissive | [
{
"docstring": "Constructor for the ConferenceCallback class",
"name": "__init__",
"signature": "def __init__(self, conference_id=None, name=None, event_type=None, event_time=None, tag=None, call_id=None, to=None, mfrom=None, account_id=None, recording_id=None, channels=None, start_time=None, end_time=N... | 2 | null | Implement the Python class `ConferenceCallback` described below.
Class description:
Implementation of the 'ConferenceCallback' model. This object represents all possible fields that may be included in callbacks related to conference events Attributes: conference_id (string): TODO: type description here. name (string):... | Implement the Python class `ConferenceCallback` described below.
Class description:
Implementation of the 'ConferenceCallback' model. This object represents all possible fields that may be included in callbacks related to conference events Attributes: conference_id (string): TODO: type description here. name (string):... | 447df3cc8cb7acaf3361d842630c432a9c31ce6e | <|skeleton|>
class ConferenceCallback:
"""Implementation of the 'ConferenceCallback' model. This object represents all possible fields that may be included in callbacks related to conference events Attributes: conference_id (string): TODO: type description here. name (string): TODO: type description here. event_typ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConferenceCallback:
"""Implementation of the 'ConferenceCallback' model. This object represents all possible fields that may be included in callbacks related to conference events Attributes: conference_id (string): TODO: type description here. name (string): TODO: type description here. event_type (string): T... | the_stack_v2_python_sparse | bandwidth/voice/models/conference_callback.py | Bandwidth/python-sdk | train | 10 |
8f2f6fb1cd424736e57cdbd7f8ef1403faec28e8 | [
"if root is None:\n return ''\nq = deque([root])\nres = []\nq.append('#')\nwhile q:\n sz = len(q)\n for _ in range(sz):\n node = q.popleft()\n if node == '#':\n res.append('#')\n continue\n res.append(str(node.val))\n for c in node.children:\n q.... | <|body_start_0|>
if root is None:
return ''
q = deque([root])
res = []
q.append('#')
while q:
sz = len(q)
for _ in range(sz):
node = q.popleft()
if node == '#':
res.append('#')
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: 'Node') -> str:
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data: str) -> 'Node':
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|e... | stack_v2_sparse_classes_36k_train_000071 | 1,727 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: Node :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root: 'Node') -> str"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: Node",
"name": "deserialize",
"signature": "def des... | 2 | stack_v2_sparse_classes_30k_train_012640 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: 'Node') -> str: Encodes a tree to a single string. :type root: Node :rtype: str
- def deserialize(self, data: str) -> 'Node': Decodes your encoded data to tre... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: 'Node') -> str: Encodes a tree to a single string. :type root: Node :rtype: str
- def deserialize(self, data: str) -> 'Node': Decodes your encoded data to tre... | de2727f1cc52ce08a06d63cff77b6ef6bb9d2528 | <|skeleton|>
class Codec:
def serialize(self, root: 'Node') -> str:
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data: str) -> 'Node':
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root: 'Node') -> str:
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
if root is None:
return ''
q = deque([root])
res = []
q.append('#')
while q:
sz = len(q)
for _ in range(sz)... | the_stack_v2_python_sparse | 428-serialize-and-deserialize-n-ary-tree/428-serialize-and-deserialize-n-ary-tree.py | vinija/LeetCode | train | 116 | |
5d8df2097d8839e0d94f4426e2e57632c8fd9c4d | [
"self.player = player\nself.players = players\nself.deck = deck\nscreen = DiscardScreen(self.player)\nConsoleController.__init__(self, screen, commands={'1': self.discardACard, '2': self.discardACard, '3': self.discardACard, '4': self.discardACard, '5': self.discardACard, '6': self.discardACard, '7': self.discardAC... | <|body_start_0|>
self.player = player
self.players = players
self.deck = deck
screen = DiscardScreen(self.player)
ConsoleController.__init__(self, screen, commands={'1': self.discardACard, '2': self.discardACard, '3': self.discardACard, '4': self.discardACard, '5': self.discardAC... | Controller for a player discarding a card from their hand | DiscardController | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DiscardController:
"""Controller for a player discarding a card from their hand"""
def __init__(self, player, players, deck):
"""Initialize the Discard Controller"""
<|body_0|>
def discardACard(self, event):
"""Discard a card from the player's hand"""
<|b... | stack_v2_sparse_classes_36k_train_000072 | 2,062 | no_license | [
{
"docstring": "Initialize the Discard Controller",
"name": "__init__",
"signature": "def __init__(self, player, players, deck)"
},
{
"docstring": "Discard a card from the player's hand",
"name": "discardACard",
"signature": "def discardACard(self, event)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013681 | Implement the Python class `DiscardController` described below.
Class description:
Controller for a player discarding a card from their hand
Method signatures and docstrings:
- def __init__(self, player, players, deck): Initialize the Discard Controller
- def discardACard(self, event): Discard a card from the player'... | Implement the Python class `DiscardController` described below.
Class description:
Controller for a player discarding a card from their hand
Method signatures and docstrings:
- def __init__(self, player, players, deck): Initialize the Discard Controller
- def discardACard(self, event): Discard a card from the player'... | c46f2e7809b4ffc6443b279ee86edb4a0ac99a09 | <|skeleton|>
class DiscardController:
"""Controller for a player discarding a card from their hand"""
def __init__(self, player, players, deck):
"""Initialize the Discard Controller"""
<|body_0|>
def discardACard(self, event):
"""Discard a card from the player's hand"""
<|b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DiscardController:
"""Controller for a player discarding a card from their hand"""
def __init__(self, player, players, deck):
"""Initialize the Discard Controller"""
self.player = player
self.players = players
self.deck = deck
screen = DiscardScreen(self.player)
... | the_stack_v2_python_sparse | src/View/Console/Game/Player/discard_controller.py | cloew/KaoPhaseTen | train | 0 |
e063df01da31a836e52be8c53f7d3ed55daa12a0 | [
"self.eval_model = eval_model.to(device)\nself.submission = pd.read_csv(submission_template)\nself.test_dataset = test_dataset\nself.device = device",
"for image, image_name, image_leaderboard in tqdm(self.test_dataset):\n image = image.to(self.device).unsqueeze(0)\n predicted_class, predicted_kev = self.ev... | <|body_start_0|>
self.eval_model = eval_model.to(device)
self.submission = pd.read_csv(submission_template)
self.test_dataset = test_dataset
self.device = device
<|end_body_0|>
<|body_start_1|>
for image, image_name, image_leaderboard in tqdm(self.test_dataset):
imag... | SubmissionMaker | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubmissionMaker:
def __init__(self, eval_model: nn.Module, submission_template: str, test_dataset: IdaoInferenceDataset, device: str='cuda:0'):
"""[Use trained model to make prediction and generate a submission file] Args: eval_model (nn.Module): [Eval model after loading weight to archi... | stack_v2_sparse_classes_36k_train_000073 | 3,102 | no_license | [
{
"docstring": "[Use trained model to make prediction and generate a submission file] Args: eval_model (nn.Module): [Eval model after loading weight to architecture] submission_template (str): [Submission template file] test_dataset (IdaoInferenceDataset): [Pytorch dataset for private and public test] device (s... | 2 | stack_v2_sparse_classes_30k_train_009951 | Implement the Python class `SubmissionMaker` described below.
Class description:
Implement the SubmissionMaker class.
Method signatures and docstrings:
- def __init__(self, eval_model: nn.Module, submission_template: str, test_dataset: IdaoInferenceDataset, device: str='cuda:0'): [Use trained model to make prediction... | Implement the Python class `SubmissionMaker` described below.
Class description:
Implement the SubmissionMaker class.
Method signatures and docstrings:
- def __init__(self, eval_model: nn.Module, submission_template: str, test_dataset: IdaoInferenceDataset, device: str='cuda:0'): [Use trained model to make prediction... | 56fe9005ebc915acd962a4b17fb057c86ef0ebd8 | <|skeleton|>
class SubmissionMaker:
def __init__(self, eval_model: nn.Module, submission_template: str, test_dataset: IdaoInferenceDataset, device: str='cuda:0'):
"""[Use trained model to make prediction and generate a submission file] Args: eval_model (nn.Module): [Eval model after loading weight to archi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SubmissionMaker:
def __init__(self, eval_model: nn.Module, submission_template: str, test_dataset: IdaoInferenceDataset, device: str='cuda:0'):
"""[Use trained model to make prediction and generate a submission file] Args: eval_model (nn.Module): [Eval model after loading weight to architecture] submi... | the_stack_v2_python_sparse | src/submission_maker.py | 3outeille/IDAO-2021-Qualifier | train | 0 | |
b4ce5c07d1ed9ffb0c29c87ddaaf859ee276dfdd | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn RbacApplication()",
"from .entity import Entity\nfrom .unified_rbac_resource_namespace import UnifiedRbacResourceNamespace\nfrom .unified_role_assignment import UnifiedRoleAssignment\nfrom .unified_role_assignment_schedule import Unifi... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return RbacApplication()
<|end_body_0|>
<|body_start_1|>
from .entity import Entity
from .unified_rbac_resource_namespace import UnifiedRbacResourceNamespace
from .unified_role_assignme... | RbacApplication | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RbacApplication:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> RbacApplication:
"""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 Ret... | stack_v2_sparse_classes_36k_train_000074 | 7,870 | 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: RbacApplication",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_val... | 3 | null | Implement the Python class `RbacApplication` described below.
Class description:
Implement the RbacApplication class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> RbacApplication: Creates a new instance of the appropriate class based on discriminator... | Implement the Python class `RbacApplication` described below.
Class description:
Implement the RbacApplication class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> RbacApplication: Creates a new instance of the appropriate class based on discriminator... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class RbacApplication:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> RbacApplication:
"""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 Ret... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RbacApplication:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> RbacApplication:
"""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: RbacAppl... | the_stack_v2_python_sparse | msgraph/generated/models/rbac_application.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
47a2344dde34deb1af4a49840057086e5567530e | [
"super().__init__()\nlogger.debug('Create PaddleVectorConnectionHandler to process the vector request')\nself.vector_engine = vector_engine\nself.executor = self.vector_engine.executor\nself.task = self.vector_engine.executor.task\nself.model = self.vector_engine.executor.model\nself.config = self.vector_engine.exe... | <|body_start_0|>
super().__init__()
logger.debug('Create PaddleVectorConnectionHandler to process the vector request')
self.vector_engine = vector_engine
self.executor = self.vector_engine.executor
self.task = self.vector_engine.executor.task
self.model = self.vector_engi... | PaddleVectorConnectionHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PaddleVectorConnectionHandler:
def __init__(self, vector_engine):
"""The PaddleSpeech Vector Server Connection Handler This connection process every server request Args: vector_engine (VectorEngine): The Vector engine"""
<|body_0|>
def run(self, audio_data, task='spk'):
... | stack_v2_sparse_classes_36k_train_000075 | 7,306 | permissive | [
{
"docstring": "The PaddleSpeech Vector Server Connection Handler This connection process every server request Args: vector_engine (VectorEngine): The Vector engine",
"name": "__init__",
"signature": "def __init__(self, vector_engine)"
},
{
"docstring": "The connection process the http request a... | 4 | stack_v2_sparse_classes_30k_train_007932 | Implement the Python class `PaddleVectorConnectionHandler` described below.
Class description:
Implement the PaddleVectorConnectionHandler class.
Method signatures and docstrings:
- def __init__(self, vector_engine): The PaddleSpeech Vector Server Connection Handler This connection process every server request Args: ... | Implement the Python class `PaddleVectorConnectionHandler` described below.
Class description:
Implement the PaddleVectorConnectionHandler class.
Method signatures and docstrings:
- def __init__(self, vector_engine): The PaddleSpeech Vector Server Connection Handler This connection process every server request Args: ... | 17854a04d43c231eff66bfed9d6aa55e94a29e79 | <|skeleton|>
class PaddleVectorConnectionHandler:
def __init__(self, vector_engine):
"""The PaddleSpeech Vector Server Connection Handler This connection process every server request Args: vector_engine (VectorEngine): The Vector engine"""
<|body_0|>
def run(self, audio_data, task='spk'):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PaddleVectorConnectionHandler:
def __init__(self, vector_engine):
"""The PaddleSpeech Vector Server Connection Handler This connection process every server request Args: vector_engine (VectorEngine): The Vector engine"""
super().__init__()
logger.debug('Create PaddleVectorConnectionHan... | the_stack_v2_python_sparse | paddlespeech/server/engine/vector/python/vector_engine.py | anniyanvr/DeepSpeech-1 | train | 0 | |
2f9fdcec09ff9b4d57ed008fb10ad3ba27221bad | [
"x = constant_op.constant([0.5, -0.5, -0.5, 0.5])\ny = constant_op.constant([0.5, -0.5, -0.5, 0.5])\nexact_kernel = exact_kernel_fn(x, y)\nshape = exact_kernel.shape.as_list()\nself.assertLen(shape, 2)\nself.assertAllClose(expected_values, exact_kernel, atol=1e-06)",
"x = constant_op.constant([1.0, 0.4, -2.1, -1.... | <|body_start_0|>
x = constant_op.constant([0.5, -0.5, -0.5, 0.5])
y = constant_op.constant([0.5, -0.5, -0.5, 0.5])
exact_kernel = exact_kernel_fn(x, y)
shape = exact_kernel.shape.as_list()
self.assertLen(shape, 2)
self.assertAllClose(expected_values, exact_kernel, atol=1e... | KernelizedUtilsTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KernelizedUtilsTest:
def test_equal_vectors(self, exact_kernel_fn, expected_values):
"""Identical vectors give exactly the identity kernel value."""
<|body_0|>
def test_almost_identical_vectors(self, exact_kernel_fn, expected_values):
"""Almost identical vectors give... | stack_v2_sparse_classes_36k_train_000076 | 5,099 | permissive | [
{
"docstring": "Identical vectors give exactly the identity kernel value.",
"name": "test_equal_vectors",
"signature": "def test_equal_vectors(self, exact_kernel_fn, expected_values)"
},
{
"docstring": "Almost identical vectors give the identity kernel value.",
"name": "test_almost_identical... | 5 | null | Implement the Python class `KernelizedUtilsTest` described below.
Class description:
Implement the KernelizedUtilsTest class.
Method signatures and docstrings:
- def test_equal_vectors(self, exact_kernel_fn, expected_values): Identical vectors give exactly the identity kernel value.
- def test_almost_identical_vector... | Implement the Python class `KernelizedUtilsTest` described below.
Class description:
Implement the KernelizedUtilsTest class.
Method signatures and docstrings:
- def test_equal_vectors(self, exact_kernel_fn, expected_values): Identical vectors give exactly the identity kernel value.
- def test_almost_identical_vector... | 7cbba04a2ee16d21309eefad5be6585183a2d5a9 | <|skeleton|>
class KernelizedUtilsTest:
def test_equal_vectors(self, exact_kernel_fn, expected_values):
"""Identical vectors give exactly the identity kernel value."""
<|body_0|>
def test_almost_identical_vectors(self, exact_kernel_fn, expected_values):
"""Almost identical vectors give... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KernelizedUtilsTest:
def test_equal_vectors(self, exact_kernel_fn, expected_values):
"""Identical vectors give exactly the identity kernel value."""
x = constant_op.constant([0.5, -0.5, -0.5, 0.5])
y = constant_op.constant([0.5, -0.5, -0.5, 0.5])
exact_kernel = exact_kernel_fn(... | the_stack_v2_python_sparse | tensorflow/python/keras/utils/kernelized_utils_test.py | NVIDIA/tensorflow | train | 763 | |
b55967d731f3ea8a3b13613a0822efde5c7c7abb | [
"try:\n username = self.apikey_handler.validate(request.query_params['access_key'], request.query_params['secret_key'])\n if username:\n sciper = get_sciper(username)\n user_units = get_units(username)\n if str(unit_id) not in user_units and (not is_db_admin(user_id=sciper, unit_id=unit_i... | <|body_start_0|>
try:
username = self.apikey_handler.validate(request.query_params['access_key'], request.query_params['secret_key'])
if username:
sciper = get_sciper(username)
user_units = get_units(username)
if str(unit_id) not in user_un... | SchemaListByUnit | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SchemaListByUnit:
def get(self, request, unit_id):
"""Return the list of schemas by unit --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code 404 message: Access key or secret key no found"""
<|body_0|>
def post(self, request, unit_id):
... | stack_v2_sparse_classes_36k_train_000077 | 14,178 | permissive | [
{
"docstring": "Return the list of schemas by unit --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code 404 message: Access key or secret key no found",
"name": "get",
"signature": "def get(self, request, unit_id)"
},
{
"docstring": "Create a new schema --- R... | 2 | stack_v2_sparse_classes_30k_train_001473 | Implement the Python class `SchemaListByUnit` described below.
Class description:
Implement the SchemaListByUnit class.
Method signatures and docstrings:
- def get(self, request, unit_id): Return the list of schemas by unit --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code 404 ... | Implement the Python class `SchemaListByUnit` described below.
Class description:
Implement the SchemaListByUnit class.
Method signatures and docstrings:
- def get(self, request, unit_id): Return the list of schemas by unit --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code 404 ... | db02f6e0cb0435b84c619dd105b7bee5eafd17e2 | <|skeleton|>
class SchemaListByUnit:
def get(self, request, unit_id):
"""Return the list of schemas by unit --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code 404 message: Access key or secret key no found"""
<|body_0|>
def post(self, request, unit_id):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SchemaListByUnit:
def get(self, request, unit_id):
"""Return the list of schemas by unit --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code 404 message: Access key or secret key no found"""
try:
username = self.apikey_handler.validate(request.... | the_stack_v2_python_sparse | src/api/views.py | epfl-si/amm | train | 3 | |
eb76c48b4098b66197a1f57073924a8d8bda6956 | [
"reader = csv.reader(data)\nnext(reader)\nreturn collections.Counter(map(lambda item: self.safe_name(item[4]), reader))",
"reader = csv.reader(data)\nnext(reader)\nenum = list()\nmiss = [\"extend_enum(cls, 'Unassigned_0x%s' % hex(value)[2:].upper().zfill(2), value)\", 'return cls(value)']\nfor item in reader:\n ... | <|body_start_0|>
reader = csv.reader(data)
next(reader)
return collections.Counter(map(lambda item: self.safe_name(item[4]), reader))
<|end_body_0|>
<|body_start_1|>
reader = csv.reader(data)
next(reader)
enum = list()
miss = ["extend_enum(cls, 'Unassigned_0x%s' ... | Destination Options and Hop-by-Hop Options | Option | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Option:
"""Destination Options and Hop-by-Hop Options"""
def count(self, data):
"""Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings."""
<|body_0|>
def process(self, data):
"""Process CSV data. Args: data (List[str]): CSV d... | stack_v2_sparse_classes_36k_train_000078 | 3,793 | permissive | [
{
"docstring": "Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings.",
"name": "count",
"signature": "def count(self, data)"
},
{
"docstring": "Process CSV data. Args: data (List[str]): CSV data. Returns: List[str]: Enumeration fields. List[str]: Missing fie... | 2 | null | Implement the Python class `Option` described below.
Class description:
Destination Options and Hop-by-Hop Options
Method signatures and docstrings:
- def count(self, data): Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings.
- def process(self, data): Process CSV data. Args: da... | Implement the Python class `Option` described below.
Class description:
Destination Options and Hop-by-Hop Options
Method signatures and docstrings:
- def count(self, data): Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings.
- def process(self, data): Process CSV data. Args: da... | 90cd07d67df28d5c5ab0585bc60f467a78d9db33 | <|skeleton|>
class Option:
"""Destination Options and Hop-by-Hop Options"""
def count(self, data):
"""Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings."""
<|body_0|>
def process(self, data):
"""Process CSV data. Args: data (List[str]): CSV d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Option:
"""Destination Options and Hop-by-Hop Options"""
def count(self, data):
"""Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings."""
reader = csv.reader(data)
next(reader)
return collections.Counter(map(lambda item: self.safe_nam... | the_stack_v2_python_sparse | pcapkit/vendor/ipv6/option.py | stjordanis/PyPCAPKit | train | 0 |
e1a26068dc36d530a8f438911f57a4c1742df913 | [
"Block.__init__(self, scenario, args)\nself.to = None\nself.path = None\nself.add_to_name = None\nif 'to' in args:\n self.to = args['to']\nelif 'path' in args:\n self.path = args['path']\nelif 'add_to_name' in args:\n self.add_to_name = args['add_to_name']",
"if self.to:\n return self.to\nif self.path... | <|body_start_0|>
Block.__init__(self, scenario, args)
self.to = None
self.path = None
self.add_to_name = None
if 'to' in args:
self.to = args['to']
elif 'path' in args:
self.path = args['path']
elif 'add_to_name' in args:
self.a... | Base block for output writing. | BaseWriter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseWriter:
"""Base block for output writing."""
def __init__(self, scenario, args):
"""Empty constructor (just call the base constructor)"""
<|body_0|>
def get_output_file_name(self, doc):
"""Create an output file name for the given document."""
<|body_1... | stack_v2_sparse_classes_36k_train_000079 | 1,836 | permissive | [
{
"docstring": "Empty constructor (just call the base constructor)",
"name": "__init__",
"signature": "def __init__(self, scenario, args)"
},
{
"docstring": "Create an output file name for the given document.",
"name": "get_output_file_name",
"signature": "def get_output_file_name(self, ... | 2 | stack_v2_sparse_classes_30k_train_004076 | Implement the Python class `BaseWriter` described below.
Class description:
Base block for output writing.
Method signatures and docstrings:
- def __init__(self, scenario, args): Empty constructor (just call the base constructor)
- def get_output_file_name(self, doc): Create an output file name for the given document... | Implement the Python class `BaseWriter` described below.
Class description:
Base block for output writing.
Method signatures and docstrings:
- def __init__(self, scenario, args): Empty constructor (just call the base constructor)
- def get_output_file_name(self, doc): Create an output file name for the given document... | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | <|skeleton|>
class BaseWriter:
"""Base block for output writing."""
def __init__(self, scenario, args):
"""Empty constructor (just call the base constructor)"""
<|body_0|>
def get_output_file_name(self, doc):
"""Create an output file name for the given document."""
<|body_1... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseWriter:
"""Base block for output writing."""
def __init__(self, scenario, args):
"""Empty constructor (just call the base constructor)"""
Block.__init__(self, scenario, args)
self.to = None
self.path = None
self.add_to_name = None
if 'to' in args:
... | the_stack_v2_python_sparse | alex/components/nlg/tectotpl/block/write/basewriter.py | oplatek/alex | train | 0 |
92e14ba575e92d51b49e288678774ea02225ea8f | [
"self.relay_for = f'eduid_{config.app_name}'\nif config.am_relay_for_override is not None:\n self.relay_for = config.am_relay_for_override\neduid_am.init_app(config.celery)\nfrom eduid_am.tasks import pong, update_attributes_keep_result\nself._update_attrs = update_attributes_keep_result\nself._pong = pong",
"... | <|body_start_0|>
self.relay_for = f'eduid_{config.app_name}'
if config.am_relay_for_override is not None:
self.relay_for = config.am_relay_for_override
eduid_am.init_app(config.celery)
from eduid_am.tasks import pong, update_attributes_keep_result
self._update_attrs =... | AmRelay | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AmRelay:
def __init__(self, config: AmConfigMixin):
""":param config: celery config :param relay_for: Name of application to relay for"""
<|body_0|>
def request_user_sync(self, user: User, timeout: int=25) -> bool:
"""Use Celery to ask eduid-am worker to propagate ch... | stack_v2_sparse_classes_36k_train_000080 | 2,661 | permissive | [
{
"docstring": ":param config: celery config :param relay_for: Name of application to relay for",
"name": "__init__",
"signature": "def __init__(self, config: AmConfigMixin)"
},
{
"docstring": "Use Celery to ask eduid-am worker to propagate changes from our private UserDB into the central UserDB... | 3 | stack_v2_sparse_classes_30k_train_017468 | Implement the Python class `AmRelay` described below.
Class description:
Implement the AmRelay class.
Method signatures and docstrings:
- def __init__(self, config: AmConfigMixin): :param config: celery config :param relay_for: Name of application to relay for
- def request_user_sync(self, user: User, timeout: int=25... | Implement the Python class `AmRelay` described below.
Class description:
Implement the AmRelay class.
Method signatures and docstrings:
- def __init__(self, config: AmConfigMixin): :param config: celery config :param relay_for: Name of application to relay for
- def request_user_sync(self, user: User, timeout: int=25... | d666aec7e47e6b0ccb575d621bb6e9f40bcea4e4 | <|skeleton|>
class AmRelay:
def __init__(self, config: AmConfigMixin):
""":param config: celery config :param relay_for: Name of application to relay for"""
<|body_0|>
def request_user_sync(self, user: User, timeout: int=25) -> bool:
"""Use Celery to ask eduid-am worker to propagate ch... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AmRelay:
def __init__(self, config: AmConfigMixin):
""":param config: celery config :param relay_for: Name of application to relay for"""
self.relay_for = f'eduid_{config.app_name}'
if config.am_relay_for_override is not None:
self.relay_for = config.am_relay_for_override
... | the_stack_v2_python_sparse | src/eduid_common/api/am.py | SUNET/eduid-common | train | 1 | |
48dc73a1646dd8958b523ee088855d8c80f4c7d4 | [
"if index is None:\n index = 0\nif default is None:\n default = self._get_paths(include_application=True, include_pyrin=True)\nsuper().__init__('input_paths', index, default=default, **options)",
"include_application = options.get('include_app', False)\ninclude_pyrin = options.get('include_pyrin', False)\np... | <|body_start_0|>
if index is None:
index = 0
if default is None:
default = self._get_paths(include_application=True, include_pyrin=True)
super().__init__('input_paths', index, default=default, **options)
<|end_body_0|>
<|body_start_1|>
include_application = optio... | input paths param class. | InputPathsParam | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InputPathsParam:
"""input paths param class."""
def __init__(self, index=None, default=None, **options):
"""initializes an instance of InputPathsParam. :param int index: zero based index of this param in cli command inputs. defaults to 0 if not provided. :param object default: defaul... | stack_v2_sparse_classes_36k_train_000081 | 27,683 | permissive | [
{
"docstring": "initializes an instance of InputPathsParam. :param int index: zero based index of this param in cli command inputs. defaults to 0 if not provided. :param object default: default value to be emitted to cli if this param is not available. if set to None, this param will not be emitted at all. defa... | 3 | stack_v2_sparse_classes_30k_train_010005 | Implement the Python class `InputPathsParam` described below.
Class description:
input paths param class.
Method signatures and docstrings:
- def __init__(self, index=None, default=None, **options): initializes an instance of InputPathsParam. :param int index: zero based index of this param in cli command inputs. def... | Implement the Python class `InputPathsParam` described below.
Class description:
input paths param class.
Method signatures and docstrings:
- def __init__(self, index=None, default=None, **options): initializes an instance of InputPathsParam. :param int index: zero based index of this param in cli command inputs. def... | 9d4776498225de4f3d16a4600b5b19212abe8562 | <|skeleton|>
class InputPathsParam:
"""input paths param class."""
def __init__(self, index=None, default=None, **options):
"""initializes an instance of InputPathsParam. :param int index: zero based index of this param in cli command inputs. defaults to 0 if not provided. :param object default: defaul... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InputPathsParam:
"""input paths param class."""
def __init__(self, index=None, default=None, **options):
"""initializes an instance of InputPathsParam. :param int index: zero based index of this param in cli command inputs. defaults to 0 if not provided. :param object default: default value to be... | the_stack_v2_python_sparse | src/pyrin/globalization/locale/babel/handlers/params.py | mononobi/pyrin | train | 20 |
162132488a9ddd6b96e7da910f9ca2418edd24d2 | [
"if cstruct:\n try:\n return json.loads(cstruct)\n except json.JSONDecodeError as e:\n raise colander.Invalid(node, 'Not valid JSON') from e\nelse:\n return None",
"if data:\n assert isinstance(data, (list, dict, NestedMutationDict, NestedMutationList)), 'Expected list or dict, got {}'.f... | <|body_start_0|>
if cstruct:
try:
return json.loads(cstruct)
except json.JSONDecodeError as e:
raise colander.Invalid(node, 'Not valid JSON') from e
else:
return None
<|end_body_0|>
<|body_start_1|>
if data:
assert ... | Serialize / deserialize JSON fields. Example: .. code-block:: python class AssetSchema(CSRFSchema): name = colander.SchemaNode(colander.String()) other_data = colander.SchemaNode( JSONValue(), widget=JSONWidget(), description="JSON bag of attributes of the object") | JSONValue | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JSONValue:
"""Serialize / deserialize JSON fields. Example: .. code-block:: python class AssetSchema(CSRFSchema): name = colander.SchemaNode(colander.String()) other_data = colander.SchemaNode( JSONValue(), widget=JSONWidget(), description="JSON bag of attributes of the object")"""
def deser... | stack_v2_sparse_classes_36k_train_000082 | 3,775 | permissive | [
{
"docstring": "Parse incoming form values to Python objects if needed.",
"name": "deserialize",
"signature": "def deserialize(self, node: colander.SchemaNode, cstruct: str)"
},
{
"docstring": "Convert Python objects to JSON string.",
"name": "serialize",
"signature": "def serialize(self... | 2 | null | Implement the Python class `JSONValue` described below.
Class description:
Serialize / deserialize JSON fields. Example: .. code-block:: python class AssetSchema(CSRFSchema): name = colander.SchemaNode(colander.String()) other_data = colander.SchemaNode( JSONValue(), widget=JSONWidget(), description="JSON bag of attri... | Implement the Python class `JSONValue` described below.
Class description:
Serialize / deserialize JSON fields. Example: .. code-block:: python class AssetSchema(CSRFSchema): name = colander.SchemaNode(colander.String()) other_data = colander.SchemaNode( JSONValue(), widget=JSONWidget(), description="JSON bag of attri... | a57de54fb8a3fae859f24f373f0292e1e4b3c344 | <|skeleton|>
class JSONValue:
"""Serialize / deserialize JSON fields. Example: .. code-block:: python class AssetSchema(CSRFSchema): name = colander.SchemaNode(colander.String()) other_data = colander.SchemaNode( JSONValue(), widget=JSONWidget(), description="JSON bag of attributes of the object")"""
def deser... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class JSONValue:
"""Serialize / deserialize JSON fields. Example: .. code-block:: python class AssetSchema(CSRFSchema): name = colander.SchemaNode(colander.String()) other_data = colander.SchemaNode( JSONValue(), widget=JSONWidget(), description="JSON bag of attributes of the object")"""
def deserialize(self, ... | the_stack_v2_python_sparse | websauna/system/form/fields.py | websauna/websauna | train | 294 |
3f1bc9205ef2e9b89d97356bdc16ffa786f6fbea | [
"self.status = []\npygame.sprite.Sprite.__init__(self)\nsprite_sheet = SpriteSheet('Golem.png')\nimage = sprite_sheet.get_image(165, 547, 389, 28)\nself.status.append(image)\nself.image = image\nself.rect = self.image.get_rect()\nimage = sprite_sheet.get_image(165, 576, 389, 28)\nself.status.append(image)\nimage = ... | <|body_start_0|>
self.status = []
pygame.sprite.Sprite.__init__(self)
sprite_sheet = SpriteSheet('Golem.png')
image = sprite_sheet.get_image(165, 547, 389, 28)
self.status.append(image)
self.image = image
self.rect = self.image.get_rect()
image = sprite_sh... | Golem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Golem:
def __init__(self):
"""This initializes the health Variables: self.status: Holds the custom sprites sprite_sheet: The spritesheet to where the custom spries came from image: Holds the custom self.image: The sprite used to represent self.rect: This creates the shape of the sprite s... | stack_v2_sparse_classes_36k_train_000083 | 3,100 | no_license | [
{
"docstring": "This initializes the health Variables: self.status: Holds the custom sprites sprite_sheet: The spritesheet to where the custom spries came from image: Holds the custom self.image: The sprite used to represent self.rect: This creates the shape of the sprite self.rect.y: The y-position of the spri... | 2 | null | Implement the Python class `Golem` described below.
Class description:
Implement the Golem class.
Method signatures and docstrings:
- def __init__(self): This initializes the health Variables: self.status: Holds the custom sprites sprite_sheet: The spritesheet to where the custom spries came from image: Holds the cus... | Implement the Python class `Golem` described below.
Class description:
Implement the Golem class.
Method signatures and docstrings:
- def __init__(self): This initializes the health Variables: self.status: Holds the custom sprites sprite_sheet: The spritesheet to where the custom spries came from image: Holds the cus... | 56fbcfc786dfc373f477270468f06e31b6271749 | <|skeleton|>
class Golem:
def __init__(self):
"""This initializes the health Variables: self.status: Holds the custom sprites sprite_sheet: The spritesheet to where the custom spries came from image: Holds the custom self.image: The sprite used to represent self.rect: This creates the shape of the sprite s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Golem:
def __init__(self):
"""This initializes the health Variables: self.status: Holds the custom sprites sprite_sheet: The spritesheet to where the custom spries came from image: Holds the custom self.image: The sprite used to represent self.rect: This creates the shape of the sprite self.rect.y: Th... | the_stack_v2_python_sparse | Doki Doki Island/bossAttacks/golem/golHealth.py | cashpop5000/DokiProject | train | 0 | |
a302fba87981e6d397b57c74e3aff9644dc51682 | [
"self.biosqllog = LogIt().default(logname='BioSQL', logfile=None)\nself.biosqlstream = StreamIEO(logname='BioSQL')\nself.scripts = pkg_resources.resource_filename(sql_scripts.__name__, '')\nself.ncbi_taxon_script = pkg_resources.resource_filename(sql_scripts.__name__, 'load_ncbi_taxonomy.pl')\nself.itis_taxon_scrip... | <|body_start_0|>
self.biosqllog = LogIt().default(logname='BioSQL', logfile=None)
self.biosqlstream = StreamIEO(logname='BioSQL')
self.scripts = pkg_resources.resource_filename(sql_scripts.__name__, '')
self.ncbi_taxon_script = pkg_resources.resource_filename(sql_scripts.__name__, 'load_... | Base BioSQL class. | BaseBioSQL | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseBioSQL:
"""Base BioSQL class."""
def __init__(self, database_name, template_name='', project=None, project_path=None, proj_mana=ProjectManagement, **kwargs):
"""This is the base BioSQL class. It provides a framework for uploading schemas, loading taxonomy data from NCBI and ITIS ... | stack_v2_sparse_classes_36k_train_000084 | 11,556 | permissive | [
{
"docstring": "This is the base BioSQL class. It provides a framework for uploading schemas, loading taxonomy data from NCBI and ITIS using the BioSQL perl scripts and .sql schema files provided by the BioPython package. We have created a modified version of the BioSQL scripts in our package, which can be foun... | 3 | stack_v2_sparse_classes_30k_train_020267 | Implement the Python class `BaseBioSQL` described below.
Class description:
Base BioSQL class.
Method signatures and docstrings:
- def __init__(self, database_name, template_name='', project=None, project_path=None, proj_mana=ProjectManagement, **kwargs): This is the base BioSQL class. It provides a framework for upl... | Implement the Python class `BaseBioSQL` described below.
Class description:
Base BioSQL class.
Method signatures and docstrings:
- def __init__(self, database_name, template_name='', project=None, project_path=None, proj_mana=ProjectManagement, **kwargs): This is the base BioSQL class. It provides a framework for upl... | 5b39aa22fe9897322014a7fdad4f25bbceec5fcb | <|skeleton|>
class BaseBioSQL:
"""Base BioSQL class."""
def __init__(self, database_name, template_name='', project=None, project_path=None, proj_mana=ProjectManagement, **kwargs):
"""This is the base BioSQL class. It provides a framework for uploading schemas, loading taxonomy data from NCBI and ITIS ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseBioSQL:
"""Base BioSQL class."""
def __init__(self, database_name, template_name='', project=None, project_path=None, proj_mana=ProjectManagement, **kwargs):
"""This is the base BioSQL class. It provides a framework for uploading schemas, loading taxonomy data from NCBI and ITIS using the Bio... | the_stack_v2_python_sparse | OrthoEvol/Manager/BioSQL/biosql.py | But-I-Play-One-On-TV/OrthoEvolution | train | 0 |
e2e5e8c0e2d2b53ca7738abb0d5991d38c2ada5b | [
"cur_path = os.path.abspath(os.path.dirname(__file__))\nconfig_file = os.path.join(cur_path, '../conf/project_host_mapping.yaml')\nself.project_host_map = FileOperator.filereader(config_file, 'yaml')",
"if priority:\n return '[{}]\\nname={}\\nbaseurl={}\\nenabled=1\\ngpgcheck=0\\npriority={}\\n'.format(repo_id... | <|body_start_0|>
cur_path = os.path.abspath(os.path.dirname(__file__))
config_file = os.path.join(cur_path, '../conf/project_host_mapping.yaml')
self.project_host_map = FileOperator.filereader(config_file, 'yaml')
<|end_body_0|>
<|body_start_1|>
if priority:
return '[{}]\nna... | 生成obs实时仓作为rpm源的配置 | OBSRepoSource | [
"LicenseRef-scancode-mulanpsl-2.0-en",
"MulanPSL-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OBSRepoSource:
"""生成obs实时仓作为rpm源的配置"""
def __init__(self):
""":param repo_host: obs仓库host"""
<|body_0|>
def repo_format(repo_id, repo_name, repo_baseurl, priority=None):
"""repo内容格式 :param repo_id: :param repo_name: :param repo_baseurl: :param priority: :return:"... | stack_v2_sparse_classes_36k_train_000085 | 3,903 | permissive | [
{
"docstring": ":param repo_host: obs仓库host",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "repo内容格式 :param repo_id: :param repo_name: :param repo_baseurl: :param priority: :return:",
"name": "repo_format",
"signature": "def repo_format(repo_id, repo_name, repo... | 4 | stack_v2_sparse_classes_30k_train_010723 | Implement the Python class `OBSRepoSource` described below.
Class description:
生成obs实时仓作为rpm源的配置
Method signatures and docstrings:
- def __init__(self): :param repo_host: obs仓库host
- def repo_format(repo_id, repo_name, repo_baseurl, priority=None): repo内容格式 :param repo_id: :param repo_name: :param repo_baseurl: :para... | Implement the Python class `OBSRepoSource` described below.
Class description:
生成obs实时仓作为rpm源的配置
Method signatures and docstrings:
- def __init__(self): :param repo_host: obs仓库host
- def repo_format(repo_id, repo_name, repo_baseurl, priority=None): repo内容格式 :param repo_id: :param repo_name: :param repo_baseurl: :para... | 6b088eb29a53510eb441338804da79ad6d0623ab | <|skeleton|>
class OBSRepoSource:
"""生成obs实时仓作为rpm源的配置"""
def __init__(self):
""":param repo_host: obs仓库host"""
<|body_0|>
def repo_format(repo_id, repo_name, repo_baseurl, priority=None):
"""repo内容格式 :param repo_id: :param repo_name: :param repo_baseurl: :param priority: :return:"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OBSRepoSource:
"""生成obs实时仓作为rpm源的配置"""
def __init__(self):
""":param repo_host: obs仓库host"""
cur_path = os.path.abspath(os.path.dirname(__file__))
config_file = os.path.join(cur_path, '../conf/project_host_mapping.yaml')
self.project_host_map = FileOperator.filereader(conf... | the_stack_v2_python_sparse | src/build/obs_repo_source.py | openeuler-mirror/openeuler-jenkins | train | 2 |
1e76a3c1c36a4743b60513081e1b28e6cb68ee10 | [
"self.d = collections.defaultdict(set)\nself.u = collections.defaultdict(set)\nself.pool = []",
"idx = len(self.u) + 1\nif self.pool:\n idx = heapq.heappop(self.pool)\nself.u[idx] = set(ownedChunks)\nfor x in ownedChunks:\n self.d[x].add(idx)\nreturn idx",
"if userID not in self.u:\n return\nfor c in s... | <|body_start_0|>
self.d = collections.defaultdict(set)
self.u = collections.defaultdict(set)
self.pool = []
<|end_body_0|>
<|body_start_1|>
idx = len(self.u) + 1
if self.pool:
idx = heapq.heappop(self.pool)
self.u[idx] = set(ownedChunks)
for x in owne... | FileSharing | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileSharing:
def __init__(self, m):
""":type m: int"""
<|body_0|>
def join(self, ownedChunks):
""":type ownedChunks: List[int] :rtype: int"""
<|body_1|>
def leave(self, userID):
""":type userID: int :rtype: None"""
<|body_2|>
def req... | stack_v2_sparse_classes_36k_train_000086 | 1,412 | no_license | [
{
"docstring": ":type m: int",
"name": "__init__",
"signature": "def __init__(self, m)"
},
{
"docstring": ":type ownedChunks: List[int] :rtype: int",
"name": "join",
"signature": "def join(self, ownedChunks)"
},
{
"docstring": ":type userID: int :rtype: None",
"name": "leave"... | 4 | stack_v2_sparse_classes_30k_train_015497 | Implement the Python class `FileSharing` described below.
Class description:
Implement the FileSharing class.
Method signatures and docstrings:
- def __init__(self, m): :type m: int
- def join(self, ownedChunks): :type ownedChunks: List[int] :rtype: int
- def leave(self, userID): :type userID: int :rtype: None
- def ... | Implement the Python class `FileSharing` described below.
Class description:
Implement the FileSharing class.
Method signatures and docstrings:
- def __init__(self, m): :type m: int
- def join(self, ownedChunks): :type ownedChunks: List[int] :rtype: int
- def leave(self, userID): :type userID: int :rtype: None
- def ... | 20623defecf65cbc35b194d8b60d8b211816ee4f | <|skeleton|>
class FileSharing:
def __init__(self, m):
""":type m: int"""
<|body_0|>
def join(self, ownedChunks):
""":type ownedChunks: List[int] :rtype: int"""
<|body_1|>
def leave(self, userID):
""":type userID: int :rtype: None"""
<|body_2|>
def req... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FileSharing:
def __init__(self, m):
""":type m: int"""
self.d = collections.defaultdict(set)
self.u = collections.defaultdict(set)
self.pool = []
def join(self, ownedChunks):
""":type ownedChunks: List[int] :rtype: int"""
idx = len(self.u) + 1
if se... | the_stack_v2_python_sparse | in_Python/1500 Design a File Sharing System.py | YangLiyli131/Leetcode2020 | train | 0 | |
8091dc981667607b8d8c9e273ffd291be1ff3e87 | [
"if not headA or not headB:\n return None\ncur = headA\npassed_nodes = {cur}\nwhile cur:\n passed_nodes.add(cur)\n cur = cur.next\ncur = headB\nwhile cur:\n if cur in passed_nodes:\n return cur\n cur = cur.next\nelse:\n return None",
"pA = headA\npB = headB\nwhile pA != pB:\n pA = pA.n... | <|body_start_0|>
if not headA or not headB:
return None
cur = headA
passed_nodes = {cur}
while cur:
passed_nodes.add(cur)
cur = cur.next
cur = headB
while cur:
if cur in passed_nodes:
return cur
c... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getIntersectionNode(self, headA, headB):
"""使用 set 保存走过路径的笨办法, 不满足`程序尽量满足 O(n) 时间复杂度，且仅用 O(1) 内存`要求 O(n+m) 时间复杂度, O(n) 内存h :type head1, head1: ListNode :rtype: ListNode"""
<|body_0|>
def getIntersectionNode(self, headA, headB):
"""神奇的解法, 代码还漂亮"""
... | stack_v2_sparse_classes_36k_train_000087 | 1,502 | no_license | [
{
"docstring": "使用 set 保存走过路径的笨办法, 不满足`程序尽量满足 O(n) 时间复杂度，且仅用 O(1) 内存`要求 O(n+m) 时间复杂度, O(n) 内存h :type head1, head1: ListNode :rtype: ListNode",
"name": "getIntersectionNode",
"signature": "def getIntersectionNode(self, headA, headB)"
},
{
"docstring": "神奇的解法, 代码还漂亮",
"name": "getIntersectionN... | 2 | stack_v2_sparse_classes_30k_train_021072 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getIntersectionNode(self, headA, headB): 使用 set 保存走过路径的笨办法, 不满足`程序尽量满足 O(n) 时间复杂度，且仅用 O(1) 内存`要求 O(n+m) 时间复杂度, O(n) 内存h :type head1, head1: ListNode :rtype: ListNode
- def ge... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getIntersectionNode(self, headA, headB): 使用 set 保存走过路径的笨办法, 不满足`程序尽量满足 O(n) 时间复杂度，且仅用 O(1) 内存`要求 O(n+m) 时间复杂度, O(n) 内存h :type head1, head1: ListNode :rtype: ListNode
- def ge... | 99a3abf1774933af73a8405f9b59e5e64906bca4 | <|skeleton|>
class Solution:
def getIntersectionNode(self, headA, headB):
"""使用 set 保存走过路径的笨办法, 不满足`程序尽量满足 O(n) 时间复杂度，且仅用 O(1) 内存`要求 O(n+m) 时间复杂度, O(n) 内存h :type head1, head1: ListNode :rtype: ListNode"""
<|body_0|>
def getIntersectionNode(self, headA, headB):
"""神奇的解法, 代码还漂亮"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def getIntersectionNode(self, headA, headB):
"""使用 set 保存走过路径的笨办法, 不满足`程序尽量满足 O(n) 时间复杂度，且仅用 O(1) 内存`要求 O(n+m) 时间复杂度, O(n) 内存h :type head1, head1: ListNode :rtype: ListNode"""
if not headA or not headB:
return None
cur = headA
passed_nodes = {cur}
... | the_stack_v2_python_sparse | 2018年力扣高频算法面试题汇总/相交链表.py | iamkissg/leetcode | train | 0 | |
224d59fa402f543cec160dde5da967848cd9cf7f | [
"for entry in data:\n selected = model.select_pattern(entry['term_name'])\n if selected.count == 0:\n model.add_pattern(dict([(key, entry[key]) for key in entry if key != 'id']))\n elif selected.count == 1:\n model.edit_pattern(entry['term_name'], dict([(key, entry[key]) for key in entry if k... | <|body_start_0|>
for entry in data:
selected = model.select_pattern(entry['term_name'])
if selected.count == 0:
model.add_pattern(dict([(key, entry[key]) for key in entry if key != 'id']))
elif selected.count == 1:
model.edit_pattern(entry['ter... | DialectTableHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DialectTableHandler:
def update_action(self, data: dict) -> dict:
"""Method for post"""
<|body_0|>
def delete_action(self, data: dict) -> dict:
"""Method for post"""
<|body_1|>
def load_table(self):
"""Method for get"""
<|body_2|>
<|end_... | stack_v2_sparse_classes_36k_train_000088 | 20,061 | no_license | [
{
"docstring": "Method for post",
"name": "update_action",
"signature": "def update_action(self, data: dict) -> dict"
},
{
"docstring": "Method for post",
"name": "delete_action",
"signature": "def delete_action(self, data: dict) -> dict"
},
{
"docstring": "Method for get",
"... | 3 | null | Implement the Python class `DialectTableHandler` described below.
Class description:
Implement the DialectTableHandler class.
Method signatures and docstrings:
- def update_action(self, data: dict) -> dict: Method for post
- def delete_action(self, data: dict) -> dict: Method for post
- def load_table(self): Method f... | Implement the Python class `DialectTableHandler` described below.
Class description:
Implement the DialectTableHandler class.
Method signatures and docstrings:
- def update_action(self, data: dict) -> dict: Method for post
- def delete_action(self, data: dict) -> dict: Method for post
- def load_table(self): Method f... | 1e1e5d46713bb15519653f4e9151f559f6637e4a | <|skeleton|>
class DialectTableHandler:
def update_action(self, data: dict) -> dict:
"""Method for post"""
<|body_0|>
def delete_action(self, data: dict) -> dict:
"""Method for post"""
<|body_1|>
def load_table(self):
"""Method for get"""
<|body_2|>
<|end_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DialectTableHandler:
def update_action(self, data: dict) -> dict:
"""Method for post"""
for entry in data:
selected = model.select_pattern(entry['term_name'])
if selected.count == 0:
model.add_pattern(dict([(key, entry[key]) for key in entry if key != 'i... | the_stack_v2_python_sparse | spaces/math_space/common/gui/web/server/server_handlers_special.py | dglyzin/tracer | train | 0 | |
2929e75c07e92bb1b98eff3b22c687a2e6781f1e | [
"def get_list(n: int) -> List[int]:\n if n == 0:\n return [0]\n ret = []\n while n > 0:\n ret.append(n % 10)\n n //= 10\n return ret\n\ndef compare(x: int, y: int) -> int:\n lx = get_list(x)\n ly = get_list(y)\n lx, ly = (lx[::-1], ly[::-1])\n lx, ly = (lx + ly, ly + lx)... | <|body_start_0|>
def get_list(n: int) -> List[int]:
if n == 0:
return [0]
ret = []
while n > 0:
ret.append(n % 10)
n //= 10
return ret
def compare(x: int, y: int) -> int:
lx = get_list(x)
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def largestNumber(self, nums: List[int]) -> str:
"""Runtime: 77 ms, faster than 26.45% Memory Usage: 13.8 MB, less than 67.07% 1 <= nums.length <= 100 0 <= nums[i] <= 10^9"""
<|body_0|>
def largestNumber2(self, nums: List[int]) -> str:
"""Runtime: 44 ms, fa... | stack_v2_sparse_classes_36k_train_000089 | 2,196 | permissive | [
{
"docstring": "Runtime: 77 ms, faster than 26.45% Memory Usage: 13.8 MB, less than 67.07% 1 <= nums.length <= 100 0 <= nums[i] <= 10^9",
"name": "largestNumber",
"signature": "def largestNumber(self, nums: List[int]) -> str"
},
{
"docstring": "Runtime: 44 ms, faster than 82.75% Memory Usage: 13... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestNumber(self, nums: List[int]) -> str: Runtime: 77 ms, faster than 26.45% Memory Usage: 13.8 MB, less than 67.07% 1 <= nums.length <= 100 0 <= nums[i] <= 10^9
- def lar... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestNumber(self, nums: List[int]) -> str: Runtime: 77 ms, faster than 26.45% Memory Usage: 13.8 MB, less than 67.07% 1 <= nums.length <= 100 0 <= nums[i] <= 10^9
- def lar... | 4dd1e54d8d08f7e6590bc76abd08ecaacaf775e5 | <|skeleton|>
class Solution:
def largestNumber(self, nums: List[int]) -> str:
"""Runtime: 77 ms, faster than 26.45% Memory Usage: 13.8 MB, less than 67.07% 1 <= nums.length <= 100 0 <= nums[i] <= 10^9"""
<|body_0|>
def largestNumber2(self, nums: List[int]) -> str:
"""Runtime: 44 ms, fa... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def largestNumber(self, nums: List[int]) -> str:
"""Runtime: 77 ms, faster than 26.45% Memory Usage: 13.8 MB, less than 67.07% 1 <= nums.length <= 100 0 <= nums[i] <= 10^9"""
def get_list(n: int) -> List[int]:
if n == 0:
return [0]
ret = []
... | the_stack_v2_python_sparse | src/179-LargestNumber.py | Jiezhi/myleetcode | train | 1 | |
b7b68e5f1863258a816370b5bdb2312a38a752e1 | [
"Property.property_apparitions[property_name] = {}\nProperty.property_apparitions[property_name][SHOULD_BE_IN] = domain\nProperty.property_apparitions[property_name][IS_IN] = []",
"if property_name not in Property.property_apparitions:\n Property.add_property(property_name, domain)\nProperty.property_apparitio... | <|body_start_0|>
Property.property_apparitions[property_name] = {}
Property.property_apparitions[property_name][SHOULD_BE_IN] = domain
Property.property_apparitions[property_name][IS_IN] = []
<|end_body_0|>
<|body_start_1|>
if property_name not in Property.property_apparitions:
... | This class is used to check if all the classes from the domain of a property implement that property. | Property | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Property:
"""This class is used to check if all the classes from the domain of a property implement that property."""
def add_property(property_name: str, domain: List[str]):
"""This method adds a property."""
<|body_0|>
def add_class_to_property(property_name: str, clas... | stack_v2_sparse_classes_36k_train_000090 | 1,077 | no_license | [
{
"docstring": "This method adds a property.",
"name": "add_property",
"signature": "def add_property(property_name: str, domain: List[str])"
},
{
"docstring": "This method adds a class to the list of classes that implement the property.",
"name": "add_class_to_property",
"signature": "d... | 2 | stack_v2_sparse_classes_30k_train_011499 | Implement the Python class `Property` described below.
Class description:
This class is used to check if all the classes from the domain of a property implement that property.
Method signatures and docstrings:
- def add_property(property_name: str, domain: List[str]): This method adds a property.
- def add_class_to_p... | Implement the Python class `Property` described below.
Class description:
This class is used to check if all the classes from the domain of a property implement that property.
Method signatures and docstrings:
- def add_property(property_name: str, domain: List[str]): This method adds a property.
- def add_class_to_p... | 09f12f0d7d2a767a56b2e53d0975dcdb18ef8812 | <|skeleton|>
class Property:
"""This class is used to check if all the classes from the domain of a property implement that property."""
def add_property(property_name: str, domain: List[str]):
"""This method adds a property."""
<|body_0|>
def add_class_to_property(property_name: str, clas... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Property:
"""This class is used to check if all the classes from the domain of a property implement that property."""
def add_property(property_name: str, domain: List[str]):
"""This method adds a property."""
Property.property_apparitions[property_name] = {}
Property.property_app... | the_stack_v2_python_sparse | tools/ontology-validator/utils/property.py | PlatformOfTrust/standards | train | 2 |
ca187aac04881c26c4b894294c32172188f2d56c | [
"form = AdminForm(request.args)\nif form.validate():\n if form.admin_token.data != 'admin_platon_group7':\n return make_response(jsonify({'error': 'Unauthorized Input'}), 401)\n try:\n existing_user = User.query.filter_by(id=form.user_id.data).first()\n send_email(existing_user.e_mail, 'Y... | <|body_start_0|>
form = AdminForm(request.args)
if form.validate():
if form.admin_token.data != 'admin_platon_group7':
return make_response(jsonify({'error': 'Unauthorized Input'}), 401)
try:
existing_user = User.query.filter_by(id=form.user_id.dat... | AdminAPI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdminAPI:
def get(self):
"""Deletes the specfied user from the system"""
<|body_0|>
def post(self):
"""Suspends the specfied user from the system"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
form = AdminForm(request.args)
if form.validate... | stack_v2_sparse_classes_36k_train_000091 | 36,381 | no_license | [
{
"docstring": "Deletes the specfied user from the system",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Suspends the specfied user from the system",
"name": "post",
"signature": "def post(self)"
}
] | 2 | stack_v2_sparse_classes_30k_test_001178 | Implement the Python class `AdminAPI` described below.
Class description:
Implement the AdminAPI class.
Method signatures and docstrings:
- def get(self): Deletes the specfied user from the system
- def post(self): Suspends the specfied user from the system | Implement the Python class `AdminAPI` described below.
Class description:
Implement the AdminAPI class.
Method signatures and docstrings:
- def get(self): Deletes the specfied user from the system
- def post(self): Suspends the specfied user from the system
<|skeleton|>
class AdminAPI:
def get(self):
""... | f7aebee17a0a79e8d3c2927733bce8015b4a9da3 | <|skeleton|>
class AdminAPI:
def get(self):
"""Deletes the specfied user from the system"""
<|body_0|>
def post(self):
"""Suspends the specfied user from the system"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdminAPI:
def get(self):
"""Deletes the specfied user from the system"""
form = AdminForm(request.args)
if form.validate():
if form.admin_token.data != 'admin_platon_group7':
return make_response(jsonify({'error': 'Unauthorized Input'}), 401)
try... | the_stack_v2_python_sparse | platon/backend/app/auth_system/views.py | bounswe/bounswe2020group7 | train | 18 | |
87400f0b889db400d6b567e4d6a87240b59e270d | [
"if not isinstance(stage, (encoding_stage.EncodingStageInterface, encoding_stage.AdaptiveEncodingStageInterface)):\n raise TypeError('The input argument is %s but must be an instance of EncodingStageInterface or of AdaptiveEncodingStageInterface' % type(stage))\nself._stage = stage\nself._children = {}\nsuper(En... | <|body_start_0|>
if not isinstance(stage, (encoding_stage.EncodingStageInterface, encoding_stage.AdaptiveEncodingStageInterface)):
raise TypeError('The input argument is %s but must be an instance of EncodingStageInterface or of AdaptiveEncodingStageInterface' % type(stage))
self._stage = st... | Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be used for encoding. The `make` method converts this object to an `Encoder`, which e... | EncoderComposer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncoderComposer:
"""Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be used for encoding. The `make` method co... | stack_v2_sparse_classes_36k_train_000092 | 26,759 | permissive | [
{
"docstring": "Constructor for the `EncoderComposer`. Args: stage: An `EncodingStageInterface` or an `AdaptiveEncodingStageInterface`.",
"name": "__init__",
"signature": "def __init__(self, stage)"
},
{
"docstring": "Adds a child node. Args: stage: An `EncodingStageInterface` or an `AdaptiveEnc... | 4 | stack_v2_sparse_classes_30k_train_018060 | Implement the Python class `EncoderComposer` described below.
Class description:
Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be ... | Implement the Python class `EncoderComposer` described below.
Class description:
Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be ... | 4733c85f21d1eb570fd575ea201cb211a485bfb0 | <|skeleton|>
class EncoderComposer:
"""Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be used for encoding. The `make` method co... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EncoderComposer:
"""Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be used for encoding. The `make` method converts this o... | the_stack_v2_python_sparse | tensorflow_model_optimization/python/core/internal/tensor_encoding/core/core_encoder.py | tensorflow/model-optimization | train | 1,550 |
57b9a03d623010d22f1b49278971f4561f2ea44e | [
"lLatitude = self.cleaned_data['latitude']\nif lLatitude:\n lValue = lLatitude.strip()\n if lValue:\n lRegEx = re.compile(CO_ORD_REGEX)\n if lRegEx.match(lValue) == None:\n raise forms.ValidationError(\"Please enter the location in decimal notation, for example 53.768761 If it ends w... | <|body_start_0|>
lLatitude = self.cleaned_data['latitude']
if lLatitude:
lValue = lLatitude.strip()
if lValue:
lRegEx = re.compile(CO_ORD_REGEX)
if lRegEx.match(lValue) == None:
raise forms.ValidationError("Please enter the loca... | Form for entering a new venue | EditVenueForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EditVenueForm:
"""Form for entering a new venue"""
def clean_latitude(self):
"""Validate latitude is in correct format"""
<|body_0|>
def clean_longitude(self):
"""Validation longitude is in correct format"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_000093 | 1,542 | no_license | [
{
"docstring": "Validate latitude is in correct format",
"name": "clean_latitude",
"signature": "def clean_latitude(self)"
},
{
"docstring": "Validation longitude is in correct format",
"name": "clean_longitude",
"signature": "def clean_longitude(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012009 | Implement the Python class `EditVenueForm` described below.
Class description:
Form for entering a new venue
Method signatures and docstrings:
- def clean_latitude(self): Validate latitude is in correct format
- def clean_longitude(self): Validation longitude is in correct format | Implement the Python class `EditVenueForm` described below.
Class description:
Form for entering a new venue
Method signatures and docstrings:
- def clean_latitude(self): Validate latitude is in correct format
- def clean_longitude(self): Validation longitude is in correct format
<|skeleton|>
class EditVenueForm:
... | 05c9d3a53c491cc255e7a351de87273df31a0303 | <|skeleton|>
class EditVenueForm:
"""Form for entering a new venue"""
def clean_latitude(self):
"""Validate latitude is in correct format"""
<|body_0|>
def clean_longitude(self):
"""Validation longitude is in correct format"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EditVenueForm:
"""Form for entering a new venue"""
def clean_latitude(self):
"""Validate latitude is in correct format"""
lLatitude = self.cleaned_data['latitude']
if lLatitude:
lValue = lLatitude.strip()
if lValue:
lRegEx = re.compile(CO_OR... | the_stack_v2_python_sparse | web/site/venues/forms.py | BrassBandResults/bbr4 | train | 5 |
bc3284ac40cf09e87b862269e1b78523f6f64e0e | [
"self.search_expansion = search_expansion\nself.min_search_wh = min_search_wh\nself.pad_pixels = pad_pixels",
"for i, _track in enumerate(in_box):\n bbox_w = _track.bbox[:, 2] - _track.bbox[:, 0] + 1\n bbox_h = _track.bbox[:, 3] - _track.bbox[:, 1] + 1\n w_ext = bbox_w * (self.search_expansion / 2.0)\n ... | <|body_start_0|>
self.search_expansion = search_expansion
self.min_search_wh = min_search_wh
self.pad_pixels = pad_pixels
<|end_body_0|>
<|body_start_1|>
for i, _track in enumerate(in_box):
bbox_w = _track.bbox[:, 2] - _track.bbox[:, 0] + 1
bbox_h = _track.bbox[:... | A class that includes utility functions unique to track branch | TrackUtils | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TrackUtils:
"""A class that includes utility functions unique to track branch"""
def __init__(self, search_expansion=1.0, min_search_wh=128, pad_pixels=256):
""":param search_expansion: expansion ratio (of the search region) w.r.t the size of tracking targets :param min_search_wh: mi... | stack_v2_sparse_classes_36k_train_000094 | 22,017 | permissive | [
{
"docstring": ":param search_expansion: expansion ratio (of the search region) w.r.t the size of tracking targets :param min_search_wh: minimal size (width and height) of the search region :param pad_pixels: the padding pixels that are neccessary to keep the feature map pf search region and that of template ta... | 3 | stack_v2_sparse_classes_30k_train_018859 | Implement the Python class `TrackUtils` described below.
Class description:
A class that includes utility functions unique to track branch
Method signatures and docstrings:
- def __init__(self, search_expansion=1.0, min_search_wh=128, pad_pixels=256): :param search_expansion: expansion ratio (of the search region) w.... | Implement the Python class `TrackUtils` described below.
Class description:
A class that includes utility functions unique to track branch
Method signatures and docstrings:
- def __init__(self, search_expansion=1.0, min_search_wh=128, pad_pixels=256): :param search_expansion: expansion ratio (of the search region) w.... | da1c277b602606586cd83943ef6b23eb705ec604 | <|skeleton|>
class TrackUtils:
"""A class that includes utility functions unique to track branch"""
def __init__(self, search_expansion=1.0, min_search_wh=128, pad_pixels=256):
""":param search_expansion: expansion ratio (of the search region) w.r.t the size of tracking targets :param min_search_wh: mi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TrackUtils:
"""A class that includes utility functions unique to track branch"""
def __init__(self, search_expansion=1.0, min_search_wh=128, pad_pixels=256):
""":param search_expansion: expansion ratio (of the search region) w.r.t the size of tracking targets :param min_search_wh: minimal size (w... | the_stack_v2_python_sparse | object_tracking/siam-mot/track_utils.py | axinc-ai/ailia-models | train | 1,554 |
15bd305e6f27ac02efd48b1cd78c286bb7037a8f | [
"sum_prev = 0\ni = 1\nwhile sum_prev + len(str(i)) < n:\n sum_prev += len(str(i))\n i += 1\nreturn int(str(i)[n - sum_prev - 1])",
"start, size, step = (1, 1, 9)\nwhile n > size * step:\n n, size, step, start = (n - size * step, size + 1, step * 10, start * 10)\nreturn int(str(start + (n - 1) // size)[(n... | <|body_start_0|>
sum_prev = 0
i = 1
while sum_prev + len(str(i)) < n:
sum_prev += len(str(i))
i += 1
return int(str(i)[n - sum_prev - 1])
<|end_body_0|>
<|body_start_1|>
start, size, step = (1, 1, 9)
while n > size * step:
n, size, ste... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findNthDigit(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def findNthDigit(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
sum_prev = 0
i = 1
while sum_prev + len(str(i)) < n... | stack_v2_sparse_classes_36k_train_000095 | 1,015 | no_license | [
{
"docstring": ":type n: int :rtype: int",
"name": "findNthDigit",
"signature": "def findNthDigit(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "findNthDigit",
"signature": "def findNthDigit(self, n)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findNthDigit(self, n): :type n: int :rtype: int
- def findNthDigit(self, n): :type n: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findNthDigit(self, n): :type n: int :rtype: int
- def findNthDigit(self, n): :type n: int :rtype: int
<|skeleton|>
class Solution:
def findNthDigit(self, n):
""... | 6de551327f96ec4d4b63d0045281b65bbb4f5d0f | <|skeleton|>
class Solution:
def findNthDigit(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def findNthDigit(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def findNthDigit(self, n):
""":type n: int :rtype: int"""
sum_prev = 0
i = 1
while sum_prev + len(str(i)) < n:
sum_prev += len(str(i))
i += 1
return int(str(i)[n - sum_prev - 1])
def findNthDigit(self, n):
""":type n: int :... | the_stack_v2_python_sparse | findNthDigit.py | JingweiTu/leetcode | train | 0 | |
aeb3ab99d75b26bd66743ad4a6bee3666807a4ab | [
"self.assertEqual(version.inventreeInstanceTitle(), 'InvenTree')\nInvenTreeSetting.set_setting('INVENTREE_INSTANCE_TITLE', True, self.user)\nInvenTreeSetting.set_setting('INVENTREE_INSTANCE', 'Testing title', self.user)\nself.assertEqual(version.inventreeInstanceTitle(), 'Testing title')\nsite_obj = Site.objects.al... | <|body_start_0|>
self.assertEqual(version.inventreeInstanceTitle(), 'InvenTree')
InvenTreeSetting.set_setting('INVENTREE_INSTANCE_TITLE', True, self.user)
InvenTreeSetting.set_setting('INVENTREE_INSTANCE', 'Testing title', self.user)
self.assertEqual(version.inventreeInstanceTitle(), 'Te... | Unit tests for instance name. | TestInstanceName | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestInstanceName:
"""Unit tests for instance name."""
def test_instance_name(self):
"""Test instance name settings."""
<|body_0|>
def test_instance_url(self):
"""Test instance url settings."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.as... | stack_v2_sparse_classes_36k_train_000096 | 41,191 | permissive | [
{
"docstring": "Test instance name settings.",
"name": "test_instance_name",
"signature": "def test_instance_name(self)"
},
{
"docstring": "Test instance url settings.",
"name": "test_instance_url",
"signature": "def test_instance_url(self)"
}
] | 2 | null | Implement the Python class `TestInstanceName` described below.
Class description:
Unit tests for instance name.
Method signatures and docstrings:
- def test_instance_name(self): Test instance name settings.
- def test_instance_url(self): Test instance url settings. | Implement the Python class `TestInstanceName` described below.
Class description:
Unit tests for instance name.
Method signatures and docstrings:
- def test_instance_name(self): Test instance name settings.
- def test_instance_url(self): Test instance url settings.
<|skeleton|>
class TestInstanceName:
"""Unit te... | e88a8e99a5f0b201c67a95cba097c729f090d5e2 | <|skeleton|>
class TestInstanceName:
"""Unit tests for instance name."""
def test_instance_name(self):
"""Test instance name settings."""
<|body_0|>
def test_instance_url(self):
"""Test instance url settings."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestInstanceName:
"""Unit tests for instance name."""
def test_instance_name(self):
"""Test instance name settings."""
self.assertEqual(version.inventreeInstanceTitle(), 'InvenTree')
InvenTreeSetting.set_setting('INVENTREE_INSTANCE_TITLE', True, self.user)
InvenTreeSetting... | the_stack_v2_python_sparse | InvenTree/InvenTree/tests.py | inventree/InvenTree | train | 3,077 |
b0b42e26e2bd0c4e8d2823d24a39647ecbc88677 | [
"super(HexagonalSampler, self).__init__()\nself.parent = parent\nself.normal_vector = normal_vector\nself.parallel_vector = parallel_vector\nself.vector_2 = None\nself.origin = origin\nself.local_work_size = local_work_size\nif grid_spacing_per_m is None:\n self.delta = grid_spacing_per_wavelength * self.parent.... | <|body_start_0|>
super(HexagonalSampler, self).__init__()
self.parent = parent
self.normal_vector = normal_vector
self.parallel_vector = parallel_vector
self.vector_2 = None
self.origin = origin
self.local_work_size = local_work_size
if grid_spacing_per_m ... | This is the hexagonal sampling grid class. It takes the specification for a hexagonal sampling array and then samples the acoustic field at these points. | HexagonalSampler | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HexagonalSampler:
"""This is the hexagonal sampling grid class. It takes the specification for a hexagonal sampling array and then samples the acoustic field at these points."""
def __init__(self, parent=None, normal_vector=np.array((0, 0, 1)), parallel_vector=np.array((0, 1, 0)), origin=np.... | stack_v2_sparse_classes_36k_train_000097 | 7,481 | permissive | [
{
"docstring": "This method intialises an instance of the HexagonalSampler class. Parameters ---------- parent : handybeam.world.World This is an instance of the handybeam world class. normal_vector : numpy array This is the vector normal to the desired sampling grid. parallel_vector : numpy array This is a vec... | 4 | stack_v2_sparse_classes_30k_train_008069 | Implement the Python class `HexagonalSampler` described below.
Class description:
This is the hexagonal sampling grid class. It takes the specification for a hexagonal sampling array and then samples the acoustic field at these points.
Method signatures and docstrings:
- def __init__(self, parent=None, normal_vector=... | Implement the Python class `HexagonalSampler` described below.
Class description:
This is the hexagonal sampling grid class. It takes the specification for a hexagonal sampling array and then samples the acoustic field at these points.
Method signatures and docstrings:
- def __init__(self, parent=None, normal_vector=... | 9f80b97742cde4b75d3478d554dc9bc2cd9dfd96 | <|skeleton|>
class HexagonalSampler:
"""This is the hexagonal sampling grid class. It takes the specification for a hexagonal sampling array and then samples the acoustic field at these points."""
def __init__(self, parent=None, normal_vector=np.array((0, 0, 1)), parallel_vector=np.array((0, 1, 0)), origin=np.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HexagonalSampler:
"""This is the hexagonal sampling grid class. It takes the specification for a hexagonal sampling array and then samples the acoustic field at these points."""
def __init__(self, parent=None, normal_vector=np.array((0, 0, 1)), parallel_vector=np.array((0, 1, 0)), origin=np.array((0, 0, ... | the_stack_v2_python_sparse | handybeam/samplers/hexagonal_sampler.py | hewhocannotbetamed/HandyBeam | train | 0 |
038253d8d04870fe6448a327cec1e8a9cbcf7583 | [
"for row in matrix:\n for num in row:\n print(num, end=' ')\n print()",
"n = len(matrix)\nresult = []\nfor j in range(n):\n curr = []\n i = 0\n while i < n and j > -1:\n curr.append(matrix[i][j])\n i += 1\n j -= 1\n result.append(curr)\nfor i in range(1, n):\n curr... | <|body_start_0|>
for row in matrix:
for num in row:
print(num, end=' ')
print()
<|end_body_0|>
<|body_start_1|>
n = len(matrix)
result = []
for j in range(n):
curr = []
i = 0
while i < n and j > -1:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def display(self, matrix):
"""Prints out 2-D matrix."""
<|body_0|>
def anti_diagonals(self, matrix):
"""Returns a new matrix(array of arrays) consisting of anti diagonals. Time complexity: O(n ^ n). Space complexity: O(n)."""
<|body_1|>
def ant... | stack_v2_sparse_classes_36k_train_000098 | 2,436 | no_license | [
{
"docstring": "Prints out 2-D matrix.",
"name": "display",
"signature": "def display(self, matrix)"
},
{
"docstring": "Returns a new matrix(array of arrays) consisting of anti diagonals. Time complexity: O(n ^ n). Space complexity: O(n).",
"name": "anti_diagonals",
"signature": "def ant... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def display(self, matrix): Prints out 2-D matrix.
- def anti_diagonals(self, matrix): Returns a new matrix(array of arrays) consisting of anti diagonals. Time complexity: O(n ^ n... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def display(self, matrix): Prints out 2-D matrix.
- def anti_diagonals(self, matrix): Returns a new matrix(array of arrays) consisting of anti diagonals. Time complexity: O(n ^ n... | 71b722ddfe8da04572e527b055cf8723d5c87bbf | <|skeleton|>
class Solution:
def display(self, matrix):
"""Prints out 2-D matrix."""
<|body_0|>
def anti_diagonals(self, matrix):
"""Returns a new matrix(array of arrays) consisting of anti diagonals. Time complexity: O(n ^ n). Space complexity: O(n)."""
<|body_1|>
def ant... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def display(self, matrix):
"""Prints out 2-D matrix."""
for row in matrix:
for num in row:
print(num, end=' ')
print()
def anti_diagonals(self, matrix):
"""Returns a new matrix(array of arrays) consisting of anti diagonals. Time co... | the_stack_v2_python_sparse | Matrix_problems/anti_diagonals.py | vladn90/Algorithms | train | 0 | |
28bec5820bcb2bdaceb49c5b3c0abba7a79001e2 | [
"if check_aligned:\n self.check_aligned(list(data.values()))\ndata_arrays = {}\nfor key, rast in data.items():\n keysplit = key.split(const.BAND_INDEX_SEPARATOR)\n variable = keysplit[0]\n if len(keysplit) > 1:\n band_index = int(keysplit[1])\n else:\n band_index = 0\n if rast.bands[... | <|body_start_0|>
if check_aligned:
self.check_aligned(list(data.values()))
data_arrays = {}
for key, rast in data.items():
keysplit = key.split(const.BAND_INDEX_SEPARATOR)
variable = keysplit[0]
if len(keysplit) > 1:
band_index = in... | Compute raster algebra expressions using the FormulaParser class. | RasterAlgebraParser | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RasterAlgebraParser:
"""Compute raster algebra expressions using the FormulaParser class."""
def evaluate_raster_algebra(self, data, formula, check_aligned=False):
"""Evaluate a raster algebra expression on a set of rasters. All input rasters need to be strictly aligned (same size, g... | stack_v2_sparse_classes_36k_train_000099 | 10,610 | permissive | [
{
"docstring": "Evaluate a raster algebra expression on a set of rasters. All input rasters need to be strictly aligned (same size, geotransform and srid). The input raster list will be zipped into a dictionary using the input names. The resulting dictionary will be used as input data for formula evaluation. If... | 2 | stack_v2_sparse_classes_30k_train_012884 | Implement the Python class `RasterAlgebraParser` described below.
Class description:
Compute raster algebra expressions using the FormulaParser class.
Method signatures and docstrings:
- def evaluate_raster_algebra(self, data, formula, check_aligned=False): Evaluate a raster algebra expression on a set of rasters. Al... | Implement the Python class `RasterAlgebraParser` described below.
Class description:
Compute raster algebra expressions using the FormulaParser class.
Method signatures and docstrings:
- def evaluate_raster_algebra(self, data, formula, check_aligned=False): Evaluate a raster algebra expression on a set of rasters. Al... | 34fffe3d1f921b2850d3cad598a3c9b382e1fec7 | <|skeleton|>
class RasterAlgebraParser:
"""Compute raster algebra expressions using the FormulaParser class."""
def evaluate_raster_algebra(self, data, formula, check_aligned=False):
"""Evaluate a raster algebra expression on a set of rasters. All input rasters need to be strictly aligned (same size, g... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RasterAlgebraParser:
"""Compute raster algebra expressions using the FormulaParser class."""
def evaluate_raster_algebra(self, data, formula, check_aligned=False):
"""Evaluate a raster algebra expression on a set of rasters. All input rasters need to be strictly aligned (same size, geotransform a... | the_stack_v2_python_sparse | raster/algebra/parser.py | henhuy/django-raster | train | 0 |
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