body_hash stringlengths 64 64 | body stringlengths 23 109k | docstring stringlengths 1 57k | path stringlengths 4 198 | name stringlengths 1 115 | repository_name stringlengths 7 111 | repository_stars float64 0 191k | lang stringclasses 1
value | body_without_docstring stringlengths 14 108k | unified stringlengths 45 133k |
|---|---|---|---|---|---|---|---|---|---|
e92fb21e584327249216dadfdff91428f09723c92da1f036bdfb348c7cf78e09 | def __all_status_up(self, target_components):
'"\n helper function to check the current local statuses of all components.\n Returns boolean value indicating whether all current local\n statuses are UP.\n '
return all(((component.current_status == SERVICE_COMPONENT_STATUS.UP) for comp... | "
helper function to check the current local statuses of all components.
Returns boolean value indicating whether all current local
statuses are UP. | python/orchestrator/health_status_monitor.py | __all_status_up | mfahdaz/EBRAINS-RichEndpoint | 1 | python | def __all_status_up(self, target_components):
'"\n helper function to check the current local statuses of all components.\n Returns boolean value indicating whether all current local\n statuses are UP.\n '
return all(((component.current_status == SERVICE_COMPONENT_STATUS.UP) for comp... | def __all_status_up(self, target_components):
'"\n helper function to check the current local statuses of all components.\n Returns boolean value indicating whether all current local\n statuses are UP.\n '
return all(((component.current_status == SERVICE_COMPONENT_STATUS.UP) for comp... |
25784d9c35a43371b3044e91fb987f07418d3468710275f58ea23e5eef47a4b4 | def __all_have_same_state(self, target_components):
'"\n helper function to check the current local states of all components.\n Returns boolean value indicating whether all current local\n states are same.\n '
return all(((component.current_state == target_components[0].current_state... | "
helper function to check the current local states of all components.
Returns boolean value indicating whether all current local
states are same. | python/orchestrator/health_status_monitor.py | __all_have_same_state | mfahdaz/EBRAINS-RichEndpoint | 1 | python | def __all_have_same_state(self, target_components):
'"\n helper function to check the current local states of all components.\n Returns boolean value indicating whether all current local\n states are same.\n '
return all(((component.current_state == target_components[0].current_state... | def __all_have_same_state(self, target_components):
'"\n helper function to check the current local states of all components.\n Returns boolean value indicating whether all current local\n states are same.\n '
return all(((component.current_state == target_components[0].current_state... |
a32e92bab61af2ced0e3cff79b983d9ef02ece37359a83c231f6ef37767319e9 | def validate_local_states(self):
'\n checks the current status and the current state of each component.\n If all have the same current state and status as UP\n then, it returns a tuple of proxies of all components\n and the componenets which have states (e.g. Orchestrator,\n Appli... | checks the current status and the current state of each component.
If all have the same current state and status as UP
then, it returns a tuple of proxies of all components
and the componenets which have states (e.g. Orchestrator,
Application Companions).
Otherwise, it returns a tuple of None. | python/orchestrator/health_status_monitor.py | validate_local_states | mfahdaz/EBRAINS-RichEndpoint | 1 | python | def validate_local_states(self):
'\n checks the current status and the current state of each component.\n If all have the same current state and status as UP\n then, it returns a tuple of proxies of all components\n and the componenets which have states (e.g. Orchestrator,\n Appli... | def validate_local_states(self):
'\n checks the current status and the current state of each component.\n If all have the same current state and status as UP\n then, it returns a tuple of proxies of all components\n and the componenets which have states (e.g. Orchestrator,\n Appli... |
bbd94b816c2bbf15f16217c5cc0992456fb78a5209c680b21b04b66681771278 | def __monitor_health_status(self):
'\n Monitors the current status and the current state of each component.\n Raises an alarm signal, if local states are in-consistent.\n '
counter = self.__counter
while self.__keep_monitoring:
if (self.validate_local_states() == (None, None)):
... | Monitors the current status and the current state of each component.
Raises an alarm signal, if local states are in-consistent. | python/orchestrator/health_status_monitor.py | __monitor_health_status | mfahdaz/EBRAINS-RichEndpoint | 1 | python | def __monitor_health_status(self):
'\n Monitors the current status and the current state of each component.\n Raises an alarm signal, if local states are in-consistent.\n '
counter = self.__counter
while self.__keep_monitoring:
if (self.validate_local_states() == (None, None)):
... | def __monitor_health_status(self):
'\n Monitors the current status and the current state of each component.\n Raises an alarm signal, if local states are in-consistent.\n '
counter = self.__counter
while self.__keep_monitoring:
if (self.validate_local_states() == (None, None)):
... |
0bc66421c15b61ad9667f6f80b7e585291c034125f95ec2ec5fa8c6d13acb2f4 | def start_monitoring(self):
'\n Creates a thread to monitor the local states and statuses\n to validate and transition of the global state.\n '
health_status_monitor = threading.Thread(name='health and status monitor', target=self.__monitor_health_status)
health_status_monitor.daemon = ... | Creates a thread to monitor the local states and statuses
to validate and transition of the global state. | python/orchestrator/health_status_monitor.py | start_monitoring | mfahdaz/EBRAINS-RichEndpoint | 1 | python | def start_monitoring(self):
'\n Creates a thread to monitor the local states and statuses\n to validate and transition of the global state.\n '
health_status_monitor = threading.Thread(name='health and status monitor', target=self.__monitor_health_status)
health_status_monitor.daemon = ... | def start_monitoring(self):
'\n Creates a thread to monitor the local states and statuses\n to validate and transition of the global state.\n '
health_status_monitor = threading.Thread(name='health and status monitor', target=self.__monitor_health_status)
health_status_monitor.daemon = ... |
7725b384d3f3af1cdabcf5fd6e5fb97704e2c3cf37f0a996f5d6a9f453f6fe11 | def __init__(self, x, y, host, port, tag, strip):
'\n :param x: The x-coordinate of a chip, between 0 and 255\n :type x: int\n :param y: The y-coordinate of a chip, between 0 and 255\n :type y: int\n :param host: The host address, as an array of 4 bytes\n :type host: bytear... | :param x: The x-coordinate of a chip, between 0 and 255
:type x: int
:param y: The y-coordinate of a chip, between 0 and 255
:type y: int
:param host: The host address, as an array of 4 bytes
:type host: bytearray
:param port: The port, between 0 and 65535
:type port: int
:param tag: The tag, between 0 and 7
:type tag:... | src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/spinnman/messages/scp/impl/scp_iptag_set_request.py | __init__ | Roboy/LSM_SpiNNaker_MyoArm | 2 | python | def __init__(self, x, y, host, port, tag, strip):
'\n :param x: The x-coordinate of a chip, between 0 and 255\n :type x: int\n :param y: The y-coordinate of a chip, between 0 and 255\n :type y: int\n :param host: The host address, as an array of 4 bytes\n :type host: bytear... | def __init__(self, x, y, host, port, tag, strip):
'\n :param x: The x-coordinate of a chip, between 0 and 255\n :type x: int\n :param y: The y-coordinate of a chip, between 0 and 255\n :type y: int\n :param host: The host address, as an array of 4 bytes\n :type host: bytear... |
87a28882f1403834be39a3a8168e55c8bfcb91ca985078e24217243eadd3046e | def test_approve_notebooks_for_publishing(self):
'Test case for approve_notebooks_for_publishing\n\n \n '
notebook_ids = [List[str]()]
response = self.client.open('/apis/v1alpha1/notebooks/publish_approved', method='POST', data=json.dumps(notebook_ids), content_type='application/json')
sel... | Test case for approve_notebooks_for_publishing | api/server/swagger_server/test/test_notebook_service_controller.py | test_approve_notebooks_for_publishing | srishtipithadia/mlx | 0 | python | def test_approve_notebooks_for_publishing(self):
'\n\n \n '
notebook_ids = [List[str]()]
response = self.client.open('/apis/v1alpha1/notebooks/publish_approved', method='POST', data=json.dumps(notebook_ids), content_type='application/json')
self.assert200(response, ('Response body is : ' +... | def test_approve_notebooks_for_publishing(self):
'\n\n \n '
notebook_ids = [List[str]()]
response = self.client.open('/apis/v1alpha1/notebooks/publish_approved', method='POST', data=json.dumps(notebook_ids), content_type='application/json')
self.assert200(response, ('Response body is : ' +... |
72cf92a5718116af053cd42d4f35cb37589abf40b1015f8349813e0f62c60a38 | def test_create_notebook(self):
'Test case for create_notebook\n\n \n '
body = ApiNotebook()
response = self.client.open('/apis/v1alpha1/notebooks', method='POST', data=json.dumps(body), content_type='application/json')
self.assert200(response, ('Response body is : ' + response.data.decode... | Test case for create_notebook | api/server/swagger_server/test/test_notebook_service_controller.py | test_create_notebook | srishtipithadia/mlx | 0 | python | def test_create_notebook(self):
'\n\n \n '
body = ApiNotebook()
response = self.client.open('/apis/v1alpha1/notebooks', method='POST', data=json.dumps(body), content_type='application/json')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8'))) | def test_create_notebook(self):
'\n\n \n '
body = ApiNotebook()
response = self.client.open('/apis/v1alpha1/notebooks', method='POST', data=json.dumps(body), content_type='application/json')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8')))<|docstring|>Test ... |
bb991616894c62ada8c8b5136ee599448d22bc1a52275e0f6bfd8361c611c3ec | def test_delete_notebook(self):
'Test case for delete_notebook\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}'.format(id='id_example'), method='DELETE')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8'))) | Test case for delete_notebook | api/server/swagger_server/test/test_notebook_service_controller.py | test_delete_notebook | srishtipithadia/mlx | 0 | python | def test_delete_notebook(self):
'\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}'.format(id='id_example'), method='DELETE')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8'))) | def test_delete_notebook(self):
'\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}'.format(id='id_example'), method='DELETE')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8')))<|docstring|>Test case for delete_notebook<|endoftext|> |
66822e3b6ad8fa1373ac40fd17abb56825ab1df9f7c5e7caf20d667d81138888 | def test_download_notebook_files(self):
'Test case for download_notebook_files\n\n Returns the notebook artifacts compressed into a .tgz (.tar.gz) file.\n '
query_string = [('include_generated_code', False)]
response = self.client.open('/apis/v1alpha1/notebooks/{id}/download'.format(id='id_exa... | Test case for download_notebook_files
Returns the notebook artifacts compressed into a .tgz (.tar.gz) file. | api/server/swagger_server/test/test_notebook_service_controller.py | test_download_notebook_files | srishtipithadia/mlx | 0 | python | def test_download_notebook_files(self):
'Test case for download_notebook_files\n\n Returns the notebook artifacts compressed into a .tgz (.tar.gz) file.\n '
query_string = [('include_generated_code', False)]
response = self.client.open('/apis/v1alpha1/notebooks/{id}/download'.format(id='id_exa... | def test_download_notebook_files(self):
'Test case for download_notebook_files\n\n Returns the notebook artifacts compressed into a .tgz (.tar.gz) file.\n '
query_string = [('include_generated_code', False)]
response = self.client.open('/apis/v1alpha1/notebooks/{id}/download'.format(id='id_exa... |
915ab54660ade642ae264d82536b1f0640de17a95de0e980a741f5d31b62e84c | def test_generate_notebook_code(self):
'Test case for generate_notebook_code\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}/generate_code'.format(id='id_example'), method='GET')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8'))) | Test case for generate_notebook_code | api/server/swagger_server/test/test_notebook_service_controller.py | test_generate_notebook_code | srishtipithadia/mlx | 0 | python | def test_generate_notebook_code(self):
'\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}/generate_code'.format(id='id_example'), method='GET')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8'))) | def test_generate_notebook_code(self):
'\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}/generate_code'.format(id='id_example'), method='GET')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8')))<|docstring|>Test case for generate_notebook_code<... |
ad85d6d875c1490dd6e75f3dd6e344a84b5cb52642441083655db066a5f75fd0 | def test_get_notebook(self):
'Test case for get_notebook\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}'.format(id='id_example'), method='GET')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8'))) | Test case for get_notebook | api/server/swagger_server/test/test_notebook_service_controller.py | test_get_notebook | srishtipithadia/mlx | 0 | python | def test_get_notebook(self):
'\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}'.format(id='id_example'), method='GET')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8'))) | def test_get_notebook(self):
'\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}'.format(id='id_example'), method='GET')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8')))<|docstring|>Test case for get_notebook<|endoftext|> |
e495cb5b203f886b16f8c7f8f501427be08a47b80b224f2aa10d0a969466de4c | def test_get_notebook_template(self):
'Test case for get_notebook_template\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}/templates'.format(id='id_example'), method='GET')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8'))) | Test case for get_notebook_template | api/server/swagger_server/test/test_notebook_service_controller.py | test_get_notebook_template | srishtipithadia/mlx | 0 | python | def test_get_notebook_template(self):
'\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}/templates'.format(id='id_example'), method='GET')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8'))) | def test_get_notebook_template(self):
'\n\n \n '
response = self.client.open('/apis/v1alpha1/notebooks/{id}/templates'.format(id='id_example'), method='GET')
self.assert200(response, ('Response body is : ' + response.data.decode('utf-8')))<|docstring|>Test case for get_notebook_template<|endof... |
0ad50b45359061692e639e3000cead992be538b68296210a319a2a16837683f4 | def test_list_notebooks(self):
'Test case for list_notebooks\n\n \n '
query_string = [('page_token', 'page_token_example'), ('page_size', 56), ('sort_by', 'name'), ('filter', '{"name": "test"}')]
response = self.client.open('/apis/v1alpha1/notebooks', method='GET', query_string=query_string)
... | Test case for list_notebooks | api/server/swagger_server/test/test_notebook_service_controller.py | test_list_notebooks | srishtipithadia/mlx | 0 | python | def test_list_notebooks(self):
'\n\n \n '
query_string = [('page_token', 'page_token_example'), ('page_size', 56), ('sort_by', 'name'), ('filter', '{"name": "test"}')]
response = self.client.open('/apis/v1alpha1/notebooks', method='GET', query_string=query_string)
self.assert200(response, ... | def test_list_notebooks(self):
'\n\n \n '
query_string = [('page_token', 'page_token_example'), ('page_size', 56), ('sort_by', 'name'), ('filter', '{"name": "test"}')]
response = self.client.open('/apis/v1alpha1/notebooks', method='GET', query_string=query_string)
self.assert200(response, ... |
968a64433baa9fba23678e2f5f55d36694a912c2703159a593157439868b76ff | def test_run_notebook(self):
'Test case for run_notebook\n\n \n '
query_string = [('run_name', 'run_name_example')]
response = self.client.open('/apis/v1alpha1/notebooks/{id}/run'.format(id='id_example'), method='POST', query_string=query_string)
self.assert200(response, ('Response body is... | Test case for run_notebook | api/server/swagger_server/test/test_notebook_service_controller.py | test_run_notebook | srishtipithadia/mlx | 0 | python | def test_run_notebook(self):
'\n\n \n '
query_string = [('run_name', 'run_name_example')]
response = self.client.open('/apis/v1alpha1/notebooks/{id}/run'.format(id='id_example'), method='POST', query_string=query_string)
self.assert200(response, ('Response body is : ' + response.data.decod... | def test_run_notebook(self):
'\n\n \n '
query_string = [('run_name', 'run_name_example')]
response = self.client.open('/apis/v1alpha1/notebooks/{id}/run'.format(id='id_example'), method='POST', query_string=query_string)
self.assert200(response, ('Response body is : ' + response.data.decod... |
9936dbbca60010beb879619bdc44a71857374462564b523e848418e0b5f74234 | def test_set_featured_notebooks(self):
'Test case for set_featured_notebooks\n\n \n '
notebook_ids = [List[str]()]
response = self.client.open('/apis/v1alpha1/notebooks/featured', method='POST', data=json.dumps(notebook_ids), content_type='application/json')
self.assert200(response, ('Resp... | Test case for set_featured_notebooks | api/server/swagger_server/test/test_notebook_service_controller.py | test_set_featured_notebooks | srishtipithadia/mlx | 0 | python | def test_set_featured_notebooks(self):
'\n\n \n '
notebook_ids = [List[str]()]
response = self.client.open('/apis/v1alpha1/notebooks/featured', method='POST', data=json.dumps(notebook_ids), content_type='application/json')
self.assert200(response, ('Response body is : ' + response.data.dec... | def test_set_featured_notebooks(self):
'\n\n \n '
notebook_ids = [List[str]()]
response = self.client.open('/apis/v1alpha1/notebooks/featured', method='POST', data=json.dumps(notebook_ids), content_type='application/json')
self.assert200(response, ('Response body is : ' + response.data.dec... |
29191bb5c6fae70e86d20a7b2be01d5eb7183055bc97436fdb5c949739ad8a2f | def test_upload_notebook(self):
'Test case for upload_notebook\n\n \n '
query_string = [('name', 'name_example')]
data = dict(uploadfile=(BytesIO(b'some file data'), 'file.txt'))
response = self.client.open('/apis/v1alpha1/notebooks/upload', method='POST', data=data, content_type='multipar... | Test case for upload_notebook | api/server/swagger_server/test/test_notebook_service_controller.py | test_upload_notebook | srishtipithadia/mlx | 0 | python | def test_upload_notebook(self):
'\n\n \n '
query_string = [('name', 'name_example')]
data = dict(uploadfile=(BytesIO(b'some file data'), 'file.txt'))
response = self.client.open('/apis/v1alpha1/notebooks/upload', method='POST', data=data, content_type='multipart/form-data', query_string=qu... | def test_upload_notebook(self):
'\n\n \n '
query_string = [('name', 'name_example')]
data = dict(uploadfile=(BytesIO(b'some file data'), 'file.txt'))
response = self.client.open('/apis/v1alpha1/notebooks/upload', method='POST', data=data, content_type='multipart/form-data', query_string=qu... |
2a006abd18c2198867126d40b2b32d0065da2a8206e061031e878778a0ec9bd8 | def test_upload_notebook_file(self):
'Test case for upload_notebook_file\n\n \n '
data = dict(uploadfile=(BytesIO(b'some file data'), 'file.txt'))
response = self.client.open('/apis/v1alpha1/notebooks/{id}/upload'.format(id='id_example'), method='POST', data=data, content_type='multipart/form-... | Test case for upload_notebook_file | api/server/swagger_server/test/test_notebook_service_controller.py | test_upload_notebook_file | srishtipithadia/mlx | 0 | python | def test_upload_notebook_file(self):
'\n\n \n '
data = dict(uploadfile=(BytesIO(b'some file data'), 'file.txt'))
response = self.client.open('/apis/v1alpha1/notebooks/{id}/upload'.format(id='id_example'), method='POST', data=data, content_type='multipart/form-data')
self.assert200(response... | def test_upload_notebook_file(self):
'\n\n \n '
data = dict(uploadfile=(BytesIO(b'some file data'), 'file.txt'))
response = self.client.open('/apis/v1alpha1/notebooks/{id}/upload'.format(id='id_example'), method='POST', data=data, content_type='multipart/form-data')
self.assert200(response... |
fb7b22ed082a69a9d390dc90cb1c0c67d7a39a61476c6fc0f384ea21551763f5 | def rearrange(blist, flist):
'Alligns the number of evaluations taken from the blist with the\n corresponding flist'
final_b = []
final_f = []
for i in range(0, len(blist)):
erg_b = numpy.empty(0, float)
erg_f = [numpy.empty(0, float), numpy.empty(0, float), numpy.empty(0, float)]
... | Alligns the number of evaluations taken from the blist with the
corresponding flist | code-postprocessing/build/lib/bbob_pproc/ppconverrorbars.py | rearrange | akhoufi/Optimization-Algo-2 | 0 | python | def rearrange(blist, flist):
'Alligns the number of evaluations taken from the blist with the\n corresponding flist'
final_b = []
final_f = []
for i in range(0, len(blist)):
erg_b = numpy.empty(0, float)
erg_f = [numpy.empty(0, float), numpy.empty(0, float), numpy.empty(0, float)]
... | def rearrange(blist, flist):
'Alligns the number of evaluations taken from the blist with the\n corresponding flist'
final_b = []
final_f = []
for i in range(0, len(blist)):
erg_b = numpy.empty(0, float)
erg_f = [numpy.empty(0, float), numpy.empty(0, float), numpy.empty(0, float)]
... |
41e0e442745643d1892ce4d4339de48984e4c9a6441af2646c9a73d3530e4c92 | def main(dictAlg, isBiobjective, outputdir='.', verbose=True, parentHtmlFileName=None):
'Main routine for generating convergence plots\n\n '
global warned
dictFun = pproc.dictAlgByFun(dictAlg)
for l in dictFun:
for i in dictFun[l]:
plt.figure()
if (1 < 3):
... | Main routine for generating convergence plots | code-postprocessing/build/lib/bbob_pproc/ppconverrorbars.py | main | akhoufi/Optimization-Algo-2 | 0 | python | def main(dictAlg, isBiobjective, outputdir='.', verbose=True, parentHtmlFileName=None):
'\n\n '
global warned
dictFun = pproc.dictAlgByFun(dictAlg)
for l in dictFun:
for i in dictFun[l]:
plt.figure()
if (1 < 3):
figurename = ('ppconv_' + ('f%03d' % l))
... | def main(dictAlg, isBiobjective, outputdir='.', verbose=True, parentHtmlFileName=None):
'\n\n '
global warned
dictFun = pproc.dictAlgByFun(dictAlg)
for l in dictFun:
for i in dictFun[l]:
plt.figure()
if (1 < 3):
figurename = ('ppconv_' + ('f%03d' % l))
... |
1471bae63622b1e92d9b212a0f93d4eaa30acbf737daf1427835fe4f5f63b843 | def test_quoting(self):
"\n #9655 - Check urlize doesn't overquote already quoted urls. The\n teststring is the urlquoted version of 'http://hi.baidu.com/重新开始'\n "
self.assertEqual(urlize('http://hi.baidu.com/%E9%87%8D%E6%96%B0%E5%BC%80%E5%A7%8B'), '<a href="http://hi.baidu.com/%E9%87%8D%E6... | #9655 - Check urlize doesn't overquote already quoted urls. The
teststring is the urlquoted version of 'http://hi.baidu.com/重新开始' | tests/template_tests/filter_tests/test_urlize.py | test_quoting | mavisguan/django | 61,676 | python | def test_quoting(self):
"\n #9655 - Check urlize doesn't overquote already quoted urls. The\n teststring is the urlquoted version of 'http://hi.baidu.com/重新开始'\n "
self.assertEqual(urlize('http://hi.baidu.com/%E9%87%8D%E6%96%B0%E5%BC%80%E5%A7%8B'), '<a href="http://hi.baidu.com/%E9%87%8D%E6... | def test_quoting(self):
"\n #9655 - Check urlize doesn't overquote already quoted urls. The\n teststring is the urlquoted version of 'http://hi.baidu.com/重新开始'\n "
self.assertEqual(urlize('http://hi.baidu.com/%E9%87%8D%E6%96%B0%E5%BC%80%E5%A7%8B'), '<a href="http://hi.baidu.com/%E9%87%8D%E6... |
c557cbcd82c2bcbc2c3954a184c62057fb085c650155eb44e85edd6396ca638b | def test_parenthesis(self):
'\n #11911 - Check urlize keeps balanced parentheses\n '
self.assertEqual(urlize('https://en.wikipedia.org/wiki/Django_(web_framework)'), '<a href="https://en.wikipedia.org/wiki/Django_(web_framework)" rel="nofollow">https://en.wikipedia.org/wiki/Django_(web_framework)<... | #11911 - Check urlize keeps balanced parentheses | tests/template_tests/filter_tests/test_urlize.py | test_parenthesis | mavisguan/django | 61,676 | python | def test_parenthesis(self):
'\n \n '
self.assertEqual(urlize('https://en.wikipedia.org/wiki/Django_(web_framework)'), '<a href="https://en.wikipedia.org/wiki/Django_(web_framework)" rel="nofollow">https://en.wikipedia.org/wiki/Django_(web_framework)</a>')
self.assertEqual(urlize('(see https://... | def test_parenthesis(self):
'\n \n '
self.assertEqual(urlize('https://en.wikipedia.org/wiki/Django_(web_framework)'), '<a href="https://en.wikipedia.org/wiki/Django_(web_framework)" rel="nofollow">https://en.wikipedia.org/wiki/Django_(web_framework)</a>')
self.assertEqual(urlize('(see https://... |
338835bd1b8446cd5c8943ced831cf275dfbf8988136de2e4b6486ed2d596fb9 | def test_nofollow(self):
'\n #12183 - Check urlize adds nofollow properly - see #12183\n '
self.assertEqual(urlize('example@example.com or www.bar.com'), '<a href="mailto:example@example.com">foo@bar.com</a> or <a href="http://www.bar.com" rel="nofollow">www.bar.com</a>') | #12183 - Check urlize adds nofollow properly - see #12183 | tests/template_tests/filter_tests/test_urlize.py | test_nofollow | mavisguan/django | 61,676 | python | def test_nofollow(self):
'\n \n '
self.assertEqual(urlize('example@example.com or www.bar.com'), '<a href="mailto:example@example.com">foo@bar.com</a> or <a href="http://www.bar.com" rel="nofollow">www.bar.com</a>') | def test_nofollow(self):
'\n \n '
self.assertEqual(urlize('example@example.com or www.bar.com'), '<a href="mailto:example@example.com">foo@bar.com</a> or <a href="http://www.bar.com" rel="nofollow">www.bar.com</a>')<|docstring|>#12183 - Check urlize adds nofollow properly - see #12183<|endoftext|> |
f5d7349c86b97dc1027acafc10b46207d4272ebad7c490087bd93fa7f7c94d16 | def test_idn(self):
'\n #13704 - Check urlize handles IDN correctly\n '
self.assertEqual(urlize('http://c✶.ws'), '<a href="http://xn--c-lgq.ws" rel="nofollow">http://c✶.ws</a>')
self.assertEqual(urlize('www.c✶.ws'), '<a href="http://www.xn--c-lgq.ws" rel="nofollow">www.c✶.ws</a>')
self.ass... | #13704 - Check urlize handles IDN correctly | tests/template_tests/filter_tests/test_urlize.py | test_idn | mavisguan/django | 61,676 | python | def test_idn(self):
'\n \n '
self.assertEqual(urlize('http://c✶.ws'), '<a href="http://xn--c-lgq.ws" rel="nofollow">http://c✶.ws</a>')
self.assertEqual(urlize('www.c✶.ws'), '<a href="http://www.xn--c-lgq.ws" rel="nofollow">www.c✶.ws</a>')
self.assertEqual(urlize('c✶.org'), '<a href="http:/... | def test_idn(self):
'\n \n '
self.assertEqual(urlize('http://c✶.ws'), '<a href="http://xn--c-lgq.ws" rel="nofollow">http://c✶.ws</a>')
self.assertEqual(urlize('www.c✶.ws'), '<a href="http://www.xn--c-lgq.ws" rel="nofollow">www.c✶.ws</a>')
self.assertEqual(urlize('c✶.org'), '<a href="http:/... |
79714eee4748ef516e6cf599a36001f910be92169542c1783afabf1c3def891e | def test_malformed(self):
"\n #16395 - Check urlize doesn't highlight malformed URIs\n "
self.assertEqual(urlize('http:///www.google.com'), 'http:///www.google.com')
self.assertEqual(urlize('http://.google.com'), 'http://.google.com')
self.assertEqual(urlize('http:example@example.com'), 'h... | #16395 - Check urlize doesn't highlight malformed URIs | tests/template_tests/filter_tests/test_urlize.py | test_malformed | mavisguan/django | 61,676 | python | def test_malformed(self):
"\n \n "
self.assertEqual(urlize('http:///www.google.com'), 'http:///www.google.com')
self.assertEqual(urlize('http://.google.com'), 'http://.google.com')
self.assertEqual(urlize('http:example@example.com'), 'http:example@example.com') | def test_malformed(self):
"\n \n "
self.assertEqual(urlize('http:///www.google.com'), 'http:///www.google.com')
self.assertEqual(urlize('http://.google.com'), 'http://.google.com')
self.assertEqual(urlize('http:example@example.com'), 'http:example@example.com')<|docstring|>#16395 - Check u... |
f51adce683389f85c8fc24fe0f5070e80fba9387d142d2fa42d20bca0c75f53d | def test_tlds(self):
'\n #16656 - Check urlize accepts more TLDs\n '
self.assertEqual(urlize('usa.gov'), '<a href="http://usa.gov" rel="nofollow">usa.gov</a>') | #16656 - Check urlize accepts more TLDs | tests/template_tests/filter_tests/test_urlize.py | test_tlds | mavisguan/django | 61,676 | python | def test_tlds(self):
'\n \n '
self.assertEqual(urlize('usa.gov'), '<a href="http://usa.gov" rel="nofollow">usa.gov</a>') | def test_tlds(self):
'\n \n '
self.assertEqual(urlize('usa.gov'), '<a href="http://usa.gov" rel="nofollow">usa.gov</a>')<|docstring|>#16656 - Check urlize accepts more TLDs<|endoftext|> |
4a6f2a4ea2e1ebec25cbac3fb4172fcd3bf2489d48e21c21eb91ae294b5d1f51 | def test_invalid_email(self):
"\n #17592 - Check urlize don't crash on invalid email with dot-starting\n domain\n "
self.assertEqual(urlize('example@example.com'), 'example@example.com') | #17592 - Check urlize don't crash on invalid email with dot-starting
domain | tests/template_tests/filter_tests/test_urlize.py | test_invalid_email | mavisguan/django | 61,676 | python | def test_invalid_email(self):
"\n #17592 - Check urlize don't crash on invalid email with dot-starting\n domain\n "
self.assertEqual(urlize('example@example.com'), 'example@example.com') | def test_invalid_email(self):
"\n #17592 - Check urlize don't crash on invalid email with dot-starting\n domain\n "
self.assertEqual(urlize('example@example.com'), 'example@example.com')<|docstring|>#17592 - Check urlize don't crash on invalid email with dot-starting
domain<|endoftext|> |
86444dcce18b6b29180ac5b06e1a71e54051e8ee214cbfa888818607d3c99aa1 | def test_uppercase(self):
'\n #18071 - Check urlize accepts uppercased URL schemes\n '
self.assertEqual(urlize('HTTPS://github.com/'), '<a href="https://github.com/" rel="nofollow">HTTPS://github.com/</a>') | #18071 - Check urlize accepts uppercased URL schemes | tests/template_tests/filter_tests/test_urlize.py | test_uppercase | mavisguan/django | 61,676 | python | def test_uppercase(self):
'\n \n '
self.assertEqual(urlize('HTTPS://github.com/'), '<a href="https://github.com/" rel="nofollow">HTTPS://github.com/</a>') | def test_uppercase(self):
'\n \n '
self.assertEqual(urlize('HTTPS://github.com/'), '<a href="https://github.com/" rel="nofollow">HTTPS://github.com/</a>')<|docstring|>#18071 - Check urlize accepts uppercased URL schemes<|endoftext|> |
6da4db0bf2abaffe9ac059bba5fec3c917206dba81a6e3eb567b3b75835a84f7 | def test_trailing_period(self):
'\n #18644 - Check urlize trims trailing period when followed by parenthesis\n '
self.assertEqual(urlize('(Go to http://www.example.com/foo.)'), '(Go to <a href="http://www.example.com/foo" rel="nofollow">http://www.example.com/foo</a>.)') | #18644 - Check urlize trims trailing period when followed by parenthesis | tests/template_tests/filter_tests/test_urlize.py | test_trailing_period | mavisguan/django | 61,676 | python | def test_trailing_period(self):
'\n \n '
self.assertEqual(urlize('(Go to http://www.example.com/foo.)'), '(Go to <a href="http://www.example.com/foo" rel="nofollow">http://www.example.com/foo</a>.)') | def test_trailing_period(self):
'\n \n '
self.assertEqual(urlize('(Go to http://www.example.com/foo.)'), '(Go to <a href="http://www.example.com/foo" rel="nofollow">http://www.example.com/foo</a>.)')<|docstring|>#18644 - Check urlize trims trailing period when followed by parenthesis<|endoftext|> |
be77e7c02ae02b5e4c9449325da417dd6b4789db452c63d04ea0fe7297191b28 | def test_brackets(self):
'\n #19070 - Check urlize handles brackets properly\n '
self.assertEqual(urlize('[see www.example.com]'), '[see <a href="http://www.example.com" rel="nofollow">www.example.com</a>]')
self.assertEqual(urlize('see test[at[example.com'), 'see <a href="http://test[at[examp... | #19070 - Check urlize handles brackets properly | tests/template_tests/filter_tests/test_urlize.py | test_brackets | mavisguan/django | 61,676 | python | def test_brackets(self):
'\n \n '
self.assertEqual(urlize('[see www.example.com]'), '[see <a href="http://www.example.com" rel="nofollow">www.example.com</a>]')
self.assertEqual(urlize('see test[at[example.com'), 'see <a href="http://test[at[example.com" rel="nofollow">test[at[example.com</a>'... | def test_brackets(self):
'\n \n '
self.assertEqual(urlize('[see www.example.com]'), '[see <a href="http://www.example.com" rel="nofollow">www.example.com</a>]')
self.assertEqual(urlize('see test[at[example.com'), 'see <a href="http://test[at[example.com" rel="nofollow">test[at[example.com</a>'... |
943ff80ea919563c2f208dbcd2a05726c61e33088c56713059bb992b62ce4b1e | def test_quotation_marks(self):
'\n #20364 - Check urlize correctly include quotation marks in links\n '
self.assertEqual(urlize('before "example@example.com" afterward', autoescape=False), 'before "<a href="mailto:example@example.com">hi@example.com</a>" afterward')
self.assertEqual(urlize('b... | #20364 - Check urlize correctly include quotation marks in links | tests/template_tests/filter_tests/test_urlize.py | test_quotation_marks | mavisguan/django | 61,676 | python | def test_quotation_marks(self):
'\n \n '
self.assertEqual(urlize('before "example@example.com" afterward', autoescape=False), 'before "<a href="mailto:example@example.com">hi@example.com</a>" afterward')
self.assertEqual(urlize('before example@example.com" afterward', autoescape=False), 'befor... | def test_quotation_marks(self):
'\n \n '
self.assertEqual(urlize('before "example@example.com" afterward', autoescape=False), 'before "<a href="mailto:example@example.com">hi@example.com</a>" afterward')
self.assertEqual(urlize('before example@example.com" afterward', autoescape=False), 'befor... |
3f18b77c9717a009ff7ee397d534d005592ac7f529c71407c716ec7430f87a77 | def test_quote_commas(self):
'\n #20364 - Check urlize copes with commas following URLs in quotes\n '
self.assertEqual(urlize('Email us at "example@example.com", or phone us at +xx.yy', autoescape=False), 'Email us at "<a href="mailto:example@example.com">hi@example.com</a>", or phone us at +xx.yy... | #20364 - Check urlize copes with commas following URLs in quotes | tests/template_tests/filter_tests/test_urlize.py | test_quote_commas | mavisguan/django | 61,676 | python | def test_quote_commas(self):
'\n \n '
self.assertEqual(urlize('Email us at "example@example.com", or phone us at +xx.yy', autoescape=False), 'Email us at "<a href="mailto:example@example.com">hi@example.com</a>", or phone us at +xx.yy') | def test_quote_commas(self):
'\n \n '
self.assertEqual(urlize('Email us at "example@example.com", or phone us at +xx.yy', autoescape=False), 'Email us at "<a href="mailto:example@example.com">hi@example.com</a>", or phone us at +xx.yy')<|docstring|>#20364 - Check urlize copes with commas following... |
dee5f9d2422ce36aeaadf8aaffef34a6be9947461e6c82e4ae60f9e987b79cf7 | def test_exclamation_marks(self):
'\n #23715 - Check urlize correctly handles exclamation marks after TLDs\n or query string\n '
self.assertEqual(urlize('Go to djangoproject.com! and enjoy.'), 'Go to <a href="http://djangoproject.com" rel="nofollow">djangoproject.com</a>! and enjoy.')
s... | #23715 - Check urlize correctly handles exclamation marks after TLDs
or query string | tests/template_tests/filter_tests/test_urlize.py | test_exclamation_marks | mavisguan/django | 61,676 | python | def test_exclamation_marks(self):
'\n #23715 - Check urlize correctly handles exclamation marks after TLDs\n or query string\n '
self.assertEqual(urlize('Go to djangoproject.com! and enjoy.'), 'Go to <a href="http://djangoproject.com" rel="nofollow">djangoproject.com</a>! and enjoy.')
s... | def test_exclamation_marks(self):
'\n #23715 - Check urlize correctly handles exclamation marks after TLDs\n or query string\n '
self.assertEqual(urlize('Go to djangoproject.com! and enjoy.'), 'Go to <a href="http://djangoproject.com" rel="nofollow">djangoproject.com</a>! and enjoy.')
s... |
dc289d4eab5b322b03c1b1a54393b55d8f65c2eb90f0eab111e18dfae21e8386 | def __init__(self, name='', desc='', machine=(- 1), input=(- 1), logger_name='Pyleecan.Simulation', var_simu=None, postproc_list=(- 1), index=None, path_result=None, layer=None, layer_log_warn=None, init_dict=None, init_str=None):
'Constructor of the class. Can be use in three ways :\n - __init__ (arg1 = 1, ... | Constructor of the class. Can be use in three ways :
- __init__ (arg1 = 1, arg3 = 5) every parameters have name and default values
for pyleecan type, -1 will call the default constructor
- __init__ (init_dict = d) d must be a dictionary with property names as keys
- __init__ (init_str = s) s must be a string
s is t... | pyleecan/Classes/Simulation.py | __init__ | EmileDvs/pyleecan | 95 | python | def __init__(self, name=, desc=, machine=(- 1), input=(- 1), logger_name='Pyleecan.Simulation', var_simu=None, postproc_list=(- 1), index=None, path_result=None, layer=None, layer_log_warn=None, init_dict=None, init_str=None):
'Constructor of the class. Can be use in three ways :\n - __init__ (arg1 = 1, arg3... | def __init__(self, name=, desc=, machine=(- 1), input=(- 1), logger_name='Pyleecan.Simulation', var_simu=None, postproc_list=(- 1), index=None, path_result=None, layer=None, layer_log_warn=None, init_dict=None, init_str=None):
'Constructor of the class. Can be use in three ways :\n - __init__ (arg1 = 1, arg3... |
b4037e2d9501f1807be576f2c9110d04fed673b6ced925b7b467cde5d86ebbc1 | def __str__(self):
'Convert this object in a readeable string (for print)'
Simulation_str = ''
if (self.parent is None):
Simulation_str += ('parent = None ' + linesep)
else:
Simulation_str += ((('parent = ' + str(type(self.parent))) + ' object') + linesep)
Simulation_str += ((('name ... | Convert this object in a readeable string (for print) | pyleecan/Classes/Simulation.py | __str__ | EmileDvs/pyleecan | 95 | python | def __str__(self):
Simulation_str =
if (self.parent is None):
Simulation_str += ('parent = None ' + linesep)
else:
Simulation_str += ((('parent = ' + str(type(self.parent))) + ' object') + linesep)
Simulation_str += ((('name = "' + str(self.name)) + '"') + linesep)
Simulation_s... | def __str__(self):
Simulation_str =
if (self.parent is None):
Simulation_str += ('parent = None ' + linesep)
else:
Simulation_str += ((('parent = ' + str(type(self.parent))) + ' object') + linesep)
Simulation_str += ((('name = "' + str(self.name)) + '"') + linesep)
Simulation_s... |
87f41efad805a62ac275b477084c09f162f8b57a127199a74a0827e4d4e4d1c7 | def __eq__(self, other):
'Compare two objects (skip parent)'
if (type(other) != type(self)):
return False
if (other.name != self.name):
return False
if (other.desc != self.desc):
return False
if (other.machine != self.machine):
return False
if (other.input != self... | Compare two objects (skip parent) | pyleecan/Classes/Simulation.py | __eq__ | EmileDvs/pyleecan | 95 | python | def __eq__(self, other):
if (type(other) != type(self)):
return False
if (other.name != self.name):
return False
if (other.desc != self.desc):
return False
if (other.machine != self.machine):
return False
if (other.input != self.input):
return False
i... | def __eq__(self, other):
if (type(other) != type(self)):
return False
if (other.name != self.name):
return False
if (other.desc != self.desc):
return False
if (other.machine != self.machine):
return False
if (other.input != self.input):
return False
i... |
866b0d6c4d059732011aafe9faca8250460f8ee6c99266786022d9a35ae3b61f | def compare(self, other, name='self', ignore_list=None):
'Compare two objects and return list of differences'
if (ignore_list is None):
ignore_list = list()
if (type(other) != type(self)):
return [(('type(' + name) + ')')]
diff_list = list()
if (other._name != self._name):
di... | Compare two objects and return list of differences | pyleecan/Classes/Simulation.py | compare | EmileDvs/pyleecan | 95 | python | def compare(self, other, name='self', ignore_list=None):
if (ignore_list is None):
ignore_list = list()
if (type(other) != type(self)):
return [(('type(' + name) + ')')]
diff_list = list()
if (other._name != self._name):
diff_list.append((name + '.name'))
if (other._desc... | def compare(self, other, name='self', ignore_list=None):
if (ignore_list is None):
ignore_list = list()
if (type(other) != type(self)):
return [(('type(' + name) + ')')]
diff_list = list()
if (other._name != self._name):
diff_list.append((name + '.name'))
if (other._desc... |
00f98f7767bacd7086863d13d2f0be8b6aaf28b8307e44697553cf391ed308a9 | def __sizeof__(self):
'Return the size in memory of the object (including all subobject)'
S = 0
S += getsizeof(self.name)
S += getsizeof(self.desc)
S += getsizeof(self.machine)
S += getsizeof(self.input)
S += getsizeof(self.logger_name)
S += getsizeof(self.var_simu)
if (self.postproc... | Return the size in memory of the object (including all subobject) | pyleecan/Classes/Simulation.py | __sizeof__ | EmileDvs/pyleecan | 95 | python | def __sizeof__(self):
S = 0
S += getsizeof(self.name)
S += getsizeof(self.desc)
S += getsizeof(self.machine)
S += getsizeof(self.input)
S += getsizeof(self.logger_name)
S += getsizeof(self.var_simu)
if (self.postproc_list is not None):
for value in self.postproc_list:
... | def __sizeof__(self):
S = 0
S += getsizeof(self.name)
S += getsizeof(self.desc)
S += getsizeof(self.machine)
S += getsizeof(self.input)
S += getsizeof(self.logger_name)
S += getsizeof(self.var_simu)
if (self.postproc_list is not None):
for value in self.postproc_list:
... |
4714b33b360df608124d7077dbd49ef5c9c2d4064ccda0eaa0486753724aa4dc | def as_dict(self, type_handle_ndarray=0, keep_function=False, **kwargs):
'\n Convert this object in a json serializable dict (can be use in __init__).\n type_handle_ndarray: int\n How to handle ndarray (0: tolist, 1: copy, 2: nothing)\n keep_function : bool\n True to keep ... | Convert this object in a json serializable dict (can be use in __init__).
type_handle_ndarray: int
How to handle ndarray (0: tolist, 1: copy, 2: nothing)
keep_function : bool
True to keep the function object, else return str
Optional keyword input parameter is for internal use only
and may prevent json serializ... | pyleecan/Classes/Simulation.py | as_dict | EmileDvs/pyleecan | 95 | python | def as_dict(self, type_handle_ndarray=0, keep_function=False, **kwargs):
'\n Convert this object in a json serializable dict (can be use in __init__).\n type_handle_ndarray: int\n How to handle ndarray (0: tolist, 1: copy, 2: nothing)\n keep_function : bool\n True to keep ... | def as_dict(self, type_handle_ndarray=0, keep_function=False, **kwargs):
'\n Convert this object in a json serializable dict (can be use in __init__).\n type_handle_ndarray: int\n How to handle ndarray (0: tolist, 1: copy, 2: nothing)\n keep_function : bool\n True to keep ... |
ad939d21a60448cf7425e91a9c3a3a4293d7feed6a90b9b89991ce88764c41a4 | def _set_None(self):
'Set all the properties to None (except pyleecan object)'
self.name = None
self.desc = None
if (self.machine is not None):
self.machine._set_None()
if (self.input is not None):
self.input._set_None()
self.logger_name = None
if (self.var_simu is not None):... | Set all the properties to None (except pyleecan object) | pyleecan/Classes/Simulation.py | _set_None | EmileDvs/pyleecan | 95 | python | def _set_None(self):
self.name = None
self.desc = None
if (self.machine is not None):
self.machine._set_None()
if (self.input is not None):
self.input._set_None()
self.logger_name = None
if (self.var_simu is not None):
self.var_simu._set_None()
self.postproc_list... | def _set_None(self):
self.name = None
self.desc = None
if (self.machine is not None):
self.machine._set_None()
if (self.input is not None):
self.input._set_None()
self.logger_name = None
if (self.var_simu is not None):
self.var_simu._set_None()
self.postproc_list... |
5a2c9024d412678203c63954905c5729c6da3097d1014489672c642fbd1c3f08 | def _get_name(self):
'getter of name'
return self._name | getter of name | pyleecan/Classes/Simulation.py | _get_name | EmileDvs/pyleecan | 95 | python | def _get_name(self):
return self._name | def _get_name(self):
return self._name<|docstring|>getter of name<|endoftext|> |
4bcfae3c416221f17ff880947ddf1dcb0b3ad582e9c5d554a71d4716529075e1 | def _set_name(self, value):
'setter of name'
check_var('name', value, 'str')
self._name = value | setter of name | pyleecan/Classes/Simulation.py | _set_name | EmileDvs/pyleecan | 95 | python | def _set_name(self, value):
check_var('name', value, 'str')
self._name = value | def _set_name(self, value):
check_var('name', value, 'str')
self._name = value<|docstring|>setter of name<|endoftext|> |
a59bca5a1ad1004b1900519298e6c74af22b2bcbb52f8d5f17ffacd7de448080 | def _get_desc(self):
'getter of desc'
return self._desc | getter of desc | pyleecan/Classes/Simulation.py | _get_desc | EmileDvs/pyleecan | 95 | python | def _get_desc(self):
return self._desc | def _get_desc(self):
return self._desc<|docstring|>getter of desc<|endoftext|> |
1d130d377b47d03bd878daf55fddf0fbc6b76208f9c1067cd4c073d35d325c43 | def _set_desc(self, value):
'setter of desc'
check_var('desc', value, 'str')
self._desc = value | setter of desc | pyleecan/Classes/Simulation.py | _set_desc | EmileDvs/pyleecan | 95 | python | def _set_desc(self, value):
check_var('desc', value, 'str')
self._desc = value | def _set_desc(self, value):
check_var('desc', value, 'str')
self._desc = value<|docstring|>setter of desc<|endoftext|> |
ecb30512178b388224a95a237cd109471e4906f6338d3f5232be314a4b524d64 | def _get_machine(self):
'getter of machine'
return self._machine | getter of machine | pyleecan/Classes/Simulation.py | _get_machine | EmileDvs/pyleecan | 95 | python | def _get_machine(self):
return self._machine | def _get_machine(self):
return self._machine<|docstring|>getter of machine<|endoftext|> |
8aa34010d54c8998ee3251e62d91aec5094b9fa4c3d26313f3f5e8d78329d1ff | def _set_machine(self, value):
'setter of machine'
if isinstance(value, str):
value = load_init_dict(value)[1]
if (isinstance(value, dict) and ('__class__' in value)):
class_obj = import_class('pyleecan.Classes', value.get('__class__'), 'machine')
value = class_obj(init_dict=value)
... | setter of machine | pyleecan/Classes/Simulation.py | _set_machine | EmileDvs/pyleecan | 95 | python | def _set_machine(self, value):
if isinstance(value, str):
value = load_init_dict(value)[1]
if (isinstance(value, dict) and ('__class__' in value)):
class_obj = import_class('pyleecan.Classes', value.get('__class__'), 'machine')
value = class_obj(init_dict=value)
elif ((type(valu... | def _set_machine(self, value):
if isinstance(value, str):
value = load_init_dict(value)[1]
if (isinstance(value, dict) and ('__class__' in value)):
class_obj = import_class('pyleecan.Classes', value.get('__class__'), 'machine')
value = class_obj(init_dict=value)
elif ((type(valu... |
260ab649d20927c5692523adf73b9391bd0516025cb47255e211bde75862cc44 | def _get_input(self):
'getter of input'
return self._input | getter of input | pyleecan/Classes/Simulation.py | _get_input | EmileDvs/pyleecan | 95 | python | def _get_input(self):
return self._input | def _get_input(self):
return self._input<|docstring|>getter of input<|endoftext|> |
96469891571e79aa8b9e4fc4df7404b58c92b40f5b21f1d0a7bb75753bd73731 | def _set_input(self, value):
'setter of input'
if isinstance(value, str):
value = load_init_dict(value)[1]
if (isinstance(value, dict) and ('__class__' in value)):
class_obj = import_class('pyleecan.Classes', value.get('__class__'), 'input')
value = class_obj(init_dict=value)
eli... | setter of input | pyleecan/Classes/Simulation.py | _set_input | EmileDvs/pyleecan | 95 | python | def _set_input(self, value):
if isinstance(value, str):
value = load_init_dict(value)[1]
if (isinstance(value, dict) and ('__class__' in value)):
class_obj = import_class('pyleecan.Classes', value.get('__class__'), 'input')
value = class_obj(init_dict=value)
elif ((type(value) i... | def _set_input(self, value):
if isinstance(value, str):
value = load_init_dict(value)[1]
if (isinstance(value, dict) and ('__class__' in value)):
class_obj = import_class('pyleecan.Classes', value.get('__class__'), 'input')
value = class_obj(init_dict=value)
elif ((type(value) i... |
2f18d246d4e2402bb980bf1bf44519b3959ad2619855049a39b7c5f950849381 | def _get_logger_name(self):
'getter of logger_name'
return self._logger_name | getter of logger_name | pyleecan/Classes/Simulation.py | _get_logger_name | EmileDvs/pyleecan | 95 | python | def _get_logger_name(self):
return self._logger_name | def _get_logger_name(self):
return self._logger_name<|docstring|>getter of logger_name<|endoftext|> |
628742a6c7a8d71acce9ecdb8982f242581ed1ee939fecc2b3ccda1cf5c3448e | def _set_logger_name(self, value):
'setter of logger_name'
check_var('logger_name', value, 'str')
self._logger_name = value | setter of logger_name | pyleecan/Classes/Simulation.py | _set_logger_name | EmileDvs/pyleecan | 95 | python | def _set_logger_name(self, value):
check_var('logger_name', value, 'str')
self._logger_name = value | def _set_logger_name(self, value):
check_var('logger_name', value, 'str')
self._logger_name = value<|docstring|>setter of logger_name<|endoftext|> |
0184b128fc7279bbf4f50907436786b3589b21b1722cbba7901bdffc6d5c586a | def _get_var_simu(self):
'getter of var_simu'
return self._var_simu | getter of var_simu | pyleecan/Classes/Simulation.py | _get_var_simu | EmileDvs/pyleecan | 95 | python | def _get_var_simu(self):
return self._var_simu | def _get_var_simu(self):
return self._var_simu<|docstring|>getter of var_simu<|endoftext|> |
aed0735df9f6948a969ab81a76963624adb210ccc1f8c0359ba37867ae4264b1 | def _set_var_simu(self, value):
'setter of var_simu'
if isinstance(value, str):
value = load_init_dict(value)[1]
if (isinstance(value, dict) and ('__class__' in value)):
class_obj = import_class('pyleecan.Classes', value.get('__class__'), 'var_simu')
value = class_obj(init_dict=value... | setter of var_simu | pyleecan/Classes/Simulation.py | _set_var_simu | EmileDvs/pyleecan | 95 | python | def _set_var_simu(self, value):
if isinstance(value, str):
value = load_init_dict(value)[1]
if (isinstance(value, dict) and ('__class__' in value)):
class_obj = import_class('pyleecan.Classes', value.get('__class__'), 'var_simu')
value = class_obj(init_dict=value)
elif ((type(va... | def _set_var_simu(self, value):
if isinstance(value, str):
value = load_init_dict(value)[1]
if (isinstance(value, dict) and ('__class__' in value)):
class_obj = import_class('pyleecan.Classes', value.get('__class__'), 'var_simu')
value = class_obj(init_dict=value)
elif ((type(va... |
e48eb9b7091957489e095c9fb187b17696985d55ea37aef214930db5308699a3 | def _get_postproc_list(self):
'getter of postproc_list'
if (self._postproc_list is not None):
for obj in self._postproc_list:
if (obj is not None):
obj.parent = self
return self._postproc_list | getter of postproc_list | pyleecan/Classes/Simulation.py | _get_postproc_list | EmileDvs/pyleecan | 95 | python | def _get_postproc_list(self):
if (self._postproc_list is not None):
for obj in self._postproc_list:
if (obj is not None):
obj.parent = self
return self._postproc_list | def _get_postproc_list(self):
if (self._postproc_list is not None):
for obj in self._postproc_list:
if (obj is not None):
obj.parent = self
return self._postproc_list<|docstring|>getter of postproc_list<|endoftext|> |
6cf46f2d8c488348271c84e26dab2eed3916cb2fa1779d87fe10dd4edc8327da | def _set_postproc_list(self, value):
'setter of postproc_list'
if (type(value) is list):
for (ii, obj) in enumerate(value):
if (type(obj) is dict):
class_obj = import_class('pyleecan.Classes', obj.get('__class__'), 'postproc_list')
value[ii] = class_obj(init_d... | setter of postproc_list | pyleecan/Classes/Simulation.py | _set_postproc_list | EmileDvs/pyleecan | 95 | python | def _set_postproc_list(self, value):
if (type(value) is list):
for (ii, obj) in enumerate(value):
if (type(obj) is dict):
class_obj = import_class('pyleecan.Classes', obj.get('__class__'), 'postproc_list')
value[ii] = class_obj(init_dict=obj)
if (... | def _set_postproc_list(self, value):
if (type(value) is list):
for (ii, obj) in enumerate(value):
if (type(obj) is dict):
class_obj = import_class('pyleecan.Classes', obj.get('__class__'), 'postproc_list')
value[ii] = class_obj(init_dict=obj)
if (... |
5eaca006052590294ffc8f3c2f485b13d761fb537c3f232c9033ec1df76a3acd | def _get_index(self):
'getter of index'
return self._index | getter of index | pyleecan/Classes/Simulation.py | _get_index | EmileDvs/pyleecan | 95 | python | def _get_index(self):
return self._index | def _get_index(self):
return self._index<|docstring|>getter of index<|endoftext|> |
492298967bb7e9333b280d063586d3e259be9b2ab4e2cba96f1a858c5ea5fd96 | def _set_index(self, value):
'setter of index'
check_var('index', value, 'int', Vmin=0)
self._index = value | setter of index | pyleecan/Classes/Simulation.py | _set_index | EmileDvs/pyleecan | 95 | python | def _set_index(self, value):
check_var('index', value, 'int', Vmin=0)
self._index = value | def _set_index(self, value):
check_var('index', value, 'int', Vmin=0)
self._index = value<|docstring|>setter of index<|endoftext|> |
9b3839853e2acae920f1a8219daee4864206af82e4aeca40da89de87d7ebc216 | def _get_path_result(self):
'getter of path_result'
return self._path_result | getter of path_result | pyleecan/Classes/Simulation.py | _get_path_result | EmileDvs/pyleecan | 95 | python | def _get_path_result(self):
return self._path_result | def _get_path_result(self):
return self._path_result<|docstring|>getter of path_result<|endoftext|> |
5eab074b6231f67ecbad493a249b1080913dc1999f0af2433fa9f1b1545f1f4b | def _set_path_result(self, value):
'setter of path_result'
check_var('path_result', value, 'str')
self._path_result = value | setter of path_result | pyleecan/Classes/Simulation.py | _set_path_result | EmileDvs/pyleecan | 95 | python | def _set_path_result(self, value):
check_var('path_result', value, 'str')
self._path_result = value | def _set_path_result(self, value):
check_var('path_result', value, 'str')
self._path_result = value<|docstring|>setter of path_result<|endoftext|> |
7495811ceec13d23f8a95fe52a5de286275806e4fca1d33ea85e23bbbec8a304 | def _get_layer(self):
'getter of layer'
return self._layer | getter of layer | pyleecan/Classes/Simulation.py | _get_layer | EmileDvs/pyleecan | 95 | python | def _get_layer(self):
return self._layer | def _get_layer(self):
return self._layer<|docstring|>getter of layer<|endoftext|> |
127bbbc2a4dda313fc3a3671a3f01ef35fbee8c9b6d91a705c1f769d68b32ab4 | def _set_layer(self, value):
'setter of layer'
check_var('layer', value, 'int', Vmin=0)
self._layer = value | setter of layer | pyleecan/Classes/Simulation.py | _set_layer | EmileDvs/pyleecan | 95 | python | def _set_layer(self, value):
check_var('layer', value, 'int', Vmin=0)
self._layer = value | def _set_layer(self, value):
check_var('layer', value, 'int', Vmin=0)
self._layer = value<|docstring|>setter of layer<|endoftext|> |
814ec4968ab50ea44d636b36d3550103fe75bb8e40903195a2c75fa4a8f7d857 | def _get_layer_log_warn(self):
'getter of layer_log_warn'
return self._layer_log_warn | getter of layer_log_warn | pyleecan/Classes/Simulation.py | _get_layer_log_warn | EmileDvs/pyleecan | 95 | python | def _get_layer_log_warn(self):
return self._layer_log_warn | def _get_layer_log_warn(self):
return self._layer_log_warn<|docstring|>getter of layer_log_warn<|endoftext|> |
93f9959c8d21974367ab80871086b373733571a46ca4970b8ac1c19b23c8a4e7 | def _set_layer_log_warn(self, value):
'setter of layer_log_warn'
check_var('layer_log_warn', value, 'int', Vmin=0)
self._layer_log_warn = value | setter of layer_log_warn | pyleecan/Classes/Simulation.py | _set_layer_log_warn | EmileDvs/pyleecan | 95 | python | def _set_layer_log_warn(self, value):
check_var('layer_log_warn', value, 'int', Vmin=0)
self._layer_log_warn = value | def _set_layer_log_warn(self, value):
check_var('layer_log_warn', value, 'int', Vmin=0)
self._layer_log_warn = value<|docstring|>setter of layer_log_warn<|endoftext|> |
1c80af581001dfbeffc3830d2fd8aca96d6bc8668b6ea2573f56b46783b2cea3 | def __init__(self, aws_account: 'account.AWSAccount') -> None:
'Initialize the AWS S3 resource.\n\n Args:\n aws_account (AWSAccount): The account for the resource.\n '
self.aws_account = aws_account | Initialize the AWS S3 resource.
Args:
aws_account (AWSAccount): The account for the resource. | libcloudforensics/providers/aws/internal/s3.py | __init__ | f0r3ns1cat0r/cloud-forensics-utils | 0 | python | def __init__(self, aws_account: 'account.AWSAccount') -> None:
'Initialize the AWS S3 resource.\n\n Args:\n aws_account (AWSAccount): The account for the resource.\n '
self.aws_account = aws_account | def __init__(self, aws_account: 'account.AWSAccount') -> None:
'Initialize the AWS S3 resource.\n\n Args:\n aws_account (AWSAccount): The account for the resource.\n '
self.aws_account = aws_account<|docstring|>Initialize the AWS S3 resource.
Args:
aws_account (AWSAccount): The account for the res... |
7359a7417a16d62f142834c6bc724b2172663239c00ecdc32e58788f4f784455 | def CreateBucket(self, name: str, region: Optional[str]=None, acl: str='private') -> Dict[(str, Any)]:
"Create an S3 storage bucket.\n\n Args:\n name (str): The name of the bucket.\n region (str): Optional. The region in which the bucket resides.\n acl (str): Optional. The canned ACL with which to... | Create an S3 storage bucket.
Args:
name (str): The name of the bucket.
region (str): Optional. The region in which the bucket resides.
acl (str): Optional. The canned ACL with which to create the bucket.
Default is 'private'.
Appropriate values for the Canned ACLs are here:
https://docs.aws.amazon.com/Amazon... | libcloudforensics/providers/aws/internal/s3.py | CreateBucket | f0r3ns1cat0r/cloud-forensics-utils | 0 | python | def CreateBucket(self, name: str, region: Optional[str]=None, acl: str='private') -> Dict[(str, Any)]:
"Create an S3 storage bucket.\n\n Args:\n name (str): The name of the bucket.\n region (str): Optional. The region in which the bucket resides.\n acl (str): Optional. The canned ACL with which to... | def CreateBucket(self, name: str, region: Optional[str]=None, acl: str='private') -> Dict[(str, Any)]:
"Create an S3 storage bucket.\n\n Args:\n name (str): The name of the bucket.\n region (str): Optional. The region in which the bucket resides.\n acl (str): Optional. The canned ACL with which to... |
88afb59d0d9033eaea1e99262216e74291111c50d2d258bdfe3937f40f9e2ce4 | def internet_status():
'\n Get the internet connection status (Try to connect to an IP address).\n\n Returns:\n True if we have internet access, False otherwise.\n '
try:
urllib2.urlopen('http://{}'.format(test_IP), timeout=1)
return True
except:
return False | Get the internet connection status (Try to connect to an IP address).
Returns:
True if we have internet access, False otherwise. | internet_status.py | internet_status | cyprieng/Cachet-Internet-Connection | 0 | python | def internet_status():
'\n Get the internet connection status (Try to connect to an IP address).\n\n Returns:\n True if we have internet access, False otherwise.\n '
try:
urllib2.urlopen('http://{}'.format(test_IP), timeout=1)
return True
except:
return False | def internet_status():
'\n Get the internet connection status (Try to connect to an IP address).\n\n Returns:\n True if we have internet access, False otherwise.\n '
try:
urllib2.urlopen('http://{}'.format(test_IP), timeout=1)
return True
except:
return False<|docstri... |
2e63c3ad7c59bb04f008297df5ed51cffd66a7a14fdf3ee81278e3db2d8a9e1a | def test_ping():
'\n Get the average ping.\n\n Returns:\n The average ping in ms.\n '
return ping.quiet_ping(test_IP, timeout=1000)[2] | Get the average ping.
Returns:
The average ping in ms. | internet_status.py | test_ping | cyprieng/Cachet-Internet-Connection | 0 | python | def test_ping():
'\n Get the average ping.\n\n Returns:\n The average ping in ms.\n '
return ping.quiet_ping(test_IP, timeout=1000)[2] | def test_ping():
'\n Get the average ping.\n\n Returns:\n The average ping in ms.\n '
return ping.quiet_ping(test_IP, timeout=1000)[2]<|docstring|>Get the average ping.
Returns:
The average ping in ms.<|endoftext|> |
21c78422012e9c72badd7c1261a6f3261b213cc56006115a134bceaed99b1442 | def send_ping_to_cachet():
'\n Send the ping to Cachet.\n '
ping = test_ping()
timestamp = int(time.time())
headers = {'X-Cachet-Token': token}
logger.info('Sending ping({})...'.format(ping))
requests.post('{0}api/v1/metrics/{1}/points?value={2}×tamp={3}'.format(cachet_url, ping_metri... | Send the ping to Cachet. | internet_status.py | send_ping_to_cachet | cyprieng/Cachet-Internet-Connection | 0 | python | def send_ping_to_cachet():
'\n \n '
ping = test_ping()
timestamp = int(time.time())
headers = {'X-Cachet-Token': token}
logger.info('Sending ping({})...'.format(ping))
requests.post('{0}api/v1/metrics/{1}/points?value={2}×tamp={3}'.format(cachet_url, ping_metric_id, ping, timestamp), ... | def send_ping_to_cachet():
'\n \n '
ping = test_ping()
timestamp = int(time.time())
headers = {'X-Cachet-Token': token}
logger.info('Sending ping({})...'.format(ping))
requests.post('{0}api/v1/metrics/{1}/points?value={2}×tamp={3}'.format(cachet_url, ping_metric_id, ping, timestamp), ... |
2a91978ed318a0bb481506e71aed53fb6844154322e555bea8330ad2b168bb5e | def get_last_incident_id():
'\n Get the last incident id.\n\n Returns:\n Last incident id.\n '
try:
headers = {'X-Cachet-Token': token}
data = requests.get('{0}api/v1/incidents'.format(cachet_url), headers=headers).json()
return data['data'][(- 1)]['id']
except:
... | Get the last incident id.
Returns:
Last incident id. | internet_status.py | get_last_incident_id | cyprieng/Cachet-Internet-Connection | 0 | python | def get_last_incident_id():
'\n Get the last incident id.\n\n Returns:\n Last incident id.\n '
try:
headers = {'X-Cachet-Token': token}
data = requests.get('{0}api/v1/incidents'.format(cachet_url), headers=headers).json()
return data['data'][(- 1)]['id']
except:
... | def get_last_incident_id():
'\n Get the last incident id.\n\n Returns:\n Last incident id.\n '
try:
headers = {'X-Cachet-Token': token}
data = requests.get('{0}api/v1/incidents'.format(cachet_url), headers=headers).json()
return data['data'][(- 1)]['id']
except:
... |
d2466f71570a3fe1d948f5b57f0663f03c95a5fb095bdfe1f0af209d56fb1968 | def send_state_to_cachet():
'\n Send the internet status to cachet. Is there is a problem create an incident.\n If it returns to normal, resolve incdent.\n '
headers = {'X-Cachet-Token': token, 'content-type': 'application/json'}
status = 1
if (not internet_status()):
logger.info('Sendi... | Send the internet status to cachet. Is there is a problem create an incident.
If it returns to normal, resolve incdent. | internet_status.py | send_state_to_cachet | cyprieng/Cachet-Internet-Connection | 0 | python | def send_state_to_cachet():
'\n Send the internet status to cachet. Is there is a problem create an incident.\n If it returns to normal, resolve incdent.\n '
headers = {'X-Cachet-Token': token, 'content-type': 'application/json'}
status = 1
if (not internet_status()):
logger.info('Sendi... | def send_state_to_cachet():
'\n Send the internet status to cachet. Is there is a problem create an incident.\n If it returns to normal, resolve incdent.\n '
headers = {'X-Cachet-Token': token, 'content-type': 'application/json'}
status = 1
if (not internet_status()):
logger.info('Sendi... |
4681d2c8eb4f79bcc96b9eea17d249be109bf73a764d3bb7d704e28c99ffe035 | @staticmethod
def _get_misorientation(tip_world: np.ndarray, tip_world0: np.ndarray) -> np.ndarray:
' Get the misorientation angle '
(nof_w, nof_h) = (1920, 1080)
nof_c = get_intrinsic_matrix(nof_w, nof_h, np.deg2rad(120))
(cam_w, cam_h) = (512, 512)
(cam_u, cam_v) = ((cam_w / 2.0), (cam_h / 2.0))
... | Get the misorientation angle | surrol/tasks/ecm_misorient.py | _get_misorientation | TaoHuang13/SurRoL | 32 | python | @staticmethod
def _get_misorientation(tip_world: np.ndarray, tip_world0: np.ndarray) -> np.ndarray:
' '
(nof_w, nof_h) = (1920, 1080)
nof_c = get_intrinsic_matrix(nof_w, nof_h, np.deg2rad(120))
(cam_w, cam_h) = (512, 512)
(cam_u, cam_v) = ((cam_w / 2.0), (cam_h / 2.0))
cam_c = get_intrinsic_mat... | @staticmethod
def _get_misorientation(tip_world: np.ndarray, tip_world0: np.ndarray) -> np.ndarray:
' '
(nof_w, nof_h) = (1920, 1080)
nof_c = get_intrinsic_matrix(nof_w, nof_h, np.deg2rad(120))
(cam_w, cam_h) = (512, 512)
(cam_u, cam_v) = ((cam_w / 2.0), (cam_h / 2.0))
cam_c = get_intrinsic_mat... |
23e1ad30cc136cd756a384b386af70e20e45657eba3ece15c5941ff51f811d7c | def _sample_goal(self) -> np.ndarray:
'Samples a new goal and returns it.\n '
goal = np.array([0.0])
return goal.copy() | Samples a new goal and returns it. | surrol/tasks/ecm_misorient.py | _sample_goal | TaoHuang13/SurRoL | 32 | python | def _sample_goal(self) -> np.ndarray:
'\n '
goal = np.array([0.0])
return goal.copy() | def _sample_goal(self) -> np.ndarray:
'\n '
goal = np.array([0.0])
return goal.copy()<|docstring|>Samples a new goal and returns it.<|endoftext|> |
65bea7a2ce9ea28563e93c404b6684408e5a575918eb71bb6f4a4b312c3a0285 | def get_oracle_action(self, obs) -> np.ndarray:
'\n Define a human expert strategy\n '
(pos, orn) = get_link_pose(self.ecm.body, self.ecm.TIP_LINK_INDEX)
cam_world = get_matrix_from_pose_2d((pos, orn))
cam_world[(:3, 3)] /= self.SCALING
droll = (self._get_misorientation(cam_world, self... | Define a human expert strategy | surrol/tasks/ecm_misorient.py | get_oracle_action | TaoHuang13/SurRoL | 32 | python | def get_oracle_action(self, obs) -> np.ndarray:
'\n \n '
(pos, orn) = get_link_pose(self.ecm.body, self.ecm.TIP_LINK_INDEX)
cam_world = get_matrix_from_pose_2d((pos, orn))
cam_world[(:3, 3)] /= self.SCALING
droll = (self._get_misorientation(cam_world, self.cam_nof) / np.deg2rad(3))
... | def get_oracle_action(self, obs) -> np.ndarray:
'\n \n '
(pos, orn) = get_link_pose(self.ecm.body, self.ecm.TIP_LINK_INDEX)
cam_world = get_matrix_from_pose_2d((pos, orn))
cam_world[(:3, 3)] /= self.SCALING
droll = (self._get_misorientation(cam_world, self.cam_nof) / np.deg2rad(3))
... |
ea04a3230b332cfeecfa6e768de2f247b85577e26a79a8f43fa26044ec0a2272 | def get_last_experiment(parent_dir, env_name):
'Searches through directory for highest numbered experiement'
experiment_id = 0
for folder_name in os.listdir(parent_dir):
if (not os.path.isdir(os.path.join(parent_dir, folder_name))):
continue
try:
folder_name = int(fol... | Searches through directory for highest numbered experiement | util/dir_utils.py | get_last_experiment | alexansari101/deep-rl | 0 | python | def get_last_experiment(parent_dir, env_name):
experiment_id = 0
for folder_name in os.listdir(parent_dir):
if (not os.path.isdir(os.path.join(parent_dir, folder_name))):
continue
try:
folder_name = int(folder_name.split('-run')[(- 1)])
if (folder_name > ... | def get_last_experiment(parent_dir, env_name):
experiment_id = 0
for folder_name in os.listdir(parent_dir):
if (not os.path.isdir(os.path.join(parent_dir, folder_name))):
continue
try:
folder_name = int(folder_name.split('-run')[(- 1)])
if (folder_name > ... |
c0ec3a10a389f3bf5aa9f5b8da01fc9a15fa43106ce7721083c355a17edb6e25 | def get_output_folder(parent_dir, env_name, load, trial=None, tmp=False):
"Return save folder.\n\n Assumes folders in the parent_dir have suffix -run{run\n number}. Finds the highest run number and sets the output folder\n to that number + 1. This is just convenient so that if you run the\n same script ... | Return save folder.
Assumes folders in the parent_dir have suffix -run{run
number}. Finds the highest run number and sets the output folder
to that number + 1. This is just convenient so that if you run the
same script multiple times tensorboard can plot all of the results
on the same plots with different names.
Para... | util/dir_utils.py | get_output_folder | alexansari101/deep-rl | 0 | python | def get_output_folder(parent_dir, env_name, load, trial=None, tmp=False):
"Return save folder.\n\n Assumes folders in the parent_dir have suffix -run{run\n number}. Finds the highest run number and sets the output folder\n to that number + 1. This is just convenient so that if you run the\n same script ... | def get_output_folder(parent_dir, env_name, load, trial=None, tmp=False):
"Return save folder.\n\n Assumes folders in the parent_dir have suffix -run{run\n number}. Finds the highest run number and sets the output folder\n to that number + 1. This is just convenient so that if you run the\n same script ... |
c17114eb7ecaed3d93a2ac94f633203a6a961ae2246b5a821c37312e4db3a08f | def copy_files(outdir):
'Copies files to the outdir to store complete script with each trial'
codedir = (outdir + '/code')
os.makedirs(codedir)
code = []
exclude = set(['trials'])
for (root, dirs, files) in os.walk('.', topdown=True):
dirs[:] = [d for d in dirs if (d not in exclude)]
... | Copies files to the outdir to store complete script with each trial | util/dir_utils.py | copy_files | alexansari101/deep-rl | 0 | python | def copy_files(outdir):
codedir = (outdir + '/code')
os.makedirs(codedir)
code = []
exclude = set(['trials'])
for (root, dirs, files) in os.walk('.', topdown=True):
dirs[:] = [d for d in dirs if (d not in exclude)]
for f in files:
if (not f.endswith('.py')):
... | def copy_files(outdir):
codedir = (outdir + '/code')
os.makedirs(codedir)
code = []
exclude = set(['trials'])
for (root, dirs, files) in os.walk('.', topdown=True):
dirs[:] = [d for d in dirs if (d not in exclude)]
for f in files:
if (not f.endswith('.py')):
... |
316d0a9ca6d3cefe3378f2d1786ae7848aff63bcce9728c111f9c575faf7f3d0 | def get_config():
'\n Reads the config file defined in the FILE_PATHS tuple, keeping the\n priority. That is, the config will be set for the first file\n found, exiting the loop in that moment and returning the value.\n If no file was found, an empty dictionary will be returned.\n :return: A dictiona... | Reads the config file defined in the FILE_PATHS tuple, keeping the
priority. That is, the config will be set for the first file
found, exiting the loop in that moment and returning the value.
If no file was found, an empty dictionary will be returned.
:return: A dictionary with the config, in
"{'remote':{'username':'..... | gitssue/config/config_reader.py | get_config | julenpardo/Gitssue | 0 | python | def get_config():
'\n Reads the config file defined in the FILE_PATHS tuple, keeping the\n priority. That is, the config will be set for the first file\n found, exiting the loop in that moment and returning the value.\n If no file was found, an empty dictionary will be returned.\n :return: A dictiona... | def get_config():
'\n Reads the config file defined in the FILE_PATHS tuple, keeping the\n priority. That is, the config will be set for the first file\n found, exiting the loop in that moment and returning the value.\n If no file was found, an empty dictionary will be returned.\n :return: A dictiona... |
1e50bfd574fe6e110ba6d053316fceb70d02f2f98f04159989b161a23277fd39 | def make_identifier(self, value):
'\n Turn an identifier in the model into a string.\n '
return '\\delta_{{{}}}'.format(value) | Turn an identifier in the model into a string. | tarski/write/latex.py | make_identifier | rmellema/tarski.py | 0 | python | def make_identifier(self, value):
'\n \n '
return '\\delta_{{{}}}'.format(value) | def make_identifier(self, value):
'\n \n '
return '\\delta_{{{}}}'.format(value)<|docstring|>Turn an identifier in the model into a string.<|endoftext|> |
cbe5ec314a2c7c815072bbaf0727853ca625b3900fa6052e2f7dd66209015293 | def write_domain(self, domain):
'\n Write the domain to the stream.\n '
self.stream.write('\\begin{dmath*}\n\tD = \\left\\{')
self.stream.write('\\mycom '.join((self.make_identifier(id) for id in domain)))
self.stream.write('\\right\\}\n\\end{dmath*}') | Write the domain to the stream. | tarski/write/latex.py | write_domain | rmellema/tarski.py | 0 | python | def write_domain(self, domain):
'\n \n '
self.stream.write('\\begin{dmath*}\n\tD = \\left\\{')
self.stream.write('\\mycom '.join((self.make_identifier(id) for id in domain)))
self.stream.write('\\right\\}\n\\end{dmath*}') | def write_domain(self, domain):
'\n \n '
self.stream.write('\\begin{dmath*}\n\tD = \\left\\{')
self.stream.write('\\mycom '.join((self.make_identifier(id) for id in domain)))
self.stream.write('\\right\\}\n\\end{dmath*}')<|docstring|>Write the domain to the stream.<|endoftext|> |
55ad8b14b7c5b377bd1532da21917e8bdd72d47f8e5c295532764a30fbc78d59 | def write_constant(self, constant, identifier):
'\n Write a single constant to the stream.\n '
self.stream.write('\\begin{dmath*}')
self.stream.write('{')
self.stream.write(constant)
self.stream.write('}^{\\mathfrak{M}} = ')
self.stream.write(self.make_identifier(identifier))
s... | Write a single constant to the stream. | tarski/write/latex.py | write_constant | rmellema/tarski.py | 0 | python | def write_constant(self, constant, identifier):
'\n \n '
self.stream.write('\\begin{dmath*}')
self.stream.write('{')
self.stream.write(constant)
self.stream.write('}^{\\mathfrak{M}} = ')
self.stream.write(self.make_identifier(identifier))
self.stream.write('\\end{dmath*}') | def write_constant(self, constant, identifier):
'\n \n '
self.stream.write('\\begin{dmath*}')
self.stream.write('{')
self.stream.write(constant)
self.stream.write('}^{\\mathfrak{M}} = ')
self.stream.write(self.make_identifier(identifier))
self.stream.write('\\end{dmath*}')<|doc... |
87cd1be5ca6d12c92a32e257b623c9799334d8d201348970b492c642f97bde5a | def write_predicate(self, name, extension):
'\n Write a predicate to the stream.\n '
self.stream.write('\\begin{dmath*}')
self.stream.write('\\mathfrak{M}(\\mathit{')
self.stream.write(name)
self.stream.write('}) = ')
if extension:
self.stream.write('\\left\\{ ')
se... | Write a predicate to the stream. | tarski/write/latex.py | write_predicate | rmellema/tarski.py | 0 | python | def write_predicate(self, name, extension):
'\n \n '
self.stream.write('\\begin{dmath*}')
self.stream.write('\\mathfrak{M}(\\mathit{')
self.stream.write(name)
self.stream.write('}) = ')
if extension:
self.stream.write('\\left\\{ ')
self.stream.write('\\mycom '.join(... | def write_predicate(self, name, extension):
'\n \n '
self.stream.write('\\begin{dmath*}')
self.stream.write('\\mathfrak{M}(\\mathit{')
self.stream.write(name)
self.stream.write('}) = ')
if extension:
self.stream.write('\\left\\{ ')
self.stream.write('\\mycom '.join(... |
d39504375f894a035f69a35648298ba15269205c9e3e7192cdbad57bf60c59cc | def write_model(self, model):
'\n Write the model to the stream. Makes sure that all the `=` signs in the equations are\n aligned by wrapping all equations in a `dgroup*`.\n\n :param Model model: The model to write to the stream.\n '
self.stream.write('\\begin{dgroup*}\n')
super(... | Write the model to the stream. Makes sure that all the `=` signs in the equations are
aligned by wrapping all equations in a `dgroup*`.
:param Model model: The model to write to the stream. | tarski/write/latex.py | write_model | rmellema/tarski.py | 0 | python | def write_model(self, model):
'\n Write the model to the stream. Makes sure that all the `=` signs in the equations are\n aligned by wrapping all equations in a `dgroup*`.\n\n :param Model model: The model to write to the stream.\n '
self.stream.write('\\begin{dgroup*}\n')
super(... | def write_model(self, model):
'\n Write the model to the stream. Makes sure that all the `=` signs in the equations are\n aligned by wrapping all equations in a `dgroup*`.\n\n :param Model model: The model to write to the stream.\n '
self.stream.write('\\begin{dgroup*}\n')
super(... |
f983168f33ceada08c68308639d31baafc5ea5b12487b4088a3784fe0e178894 | def tatami_solve(xmax: int, ymax: int) -> list[facile.Solution]:
'Solves the tatami problem.\n\n The variables in the solve_all must be passed in order:\n - x coordinates;\n - y coordinates;\n - xs the size of the tatami on the x axis (1: vertical, 2: horizontal);\n - other variables\n '
if ((... | Solves the tatami problem.
The variables in the solve_all must be passed in order:
- x coordinates;
- y coordinates;
- xs the size of the tatami on the x axis (1: vertical, 2: horizontal);
- other variables | problems/tatami/tatami_solve.py | tatami_solve | xoolive/edu_constraints | 1 | python | def tatami_solve(xmax: int, ymax: int) -> list[facile.Solution]:
'Solves the tatami problem.\n\n The variables in the solve_all must be passed in order:\n - x coordinates;\n - y coordinates;\n - xs the size of the tatami on the x axis (1: vertical, 2: horizontal);\n - other variables\n '
if ((... | def tatami_solve(xmax: int, ymax: int) -> list[facile.Solution]:
'Solves the tatami problem.\n\n The variables in the solve_all must be passed in order:\n - x coordinates;\n - y coordinates;\n - xs the size of the tatami on the x axis (1: vertical, 2: horizontal);\n - other variables\n '
if ((... |
9a29a0ec2c0f00678c2a1495629da0b77ead4884366933d366e954775463a05e | def query(self, endpoint, data=None):
'Request an HTTP endpoint with a GET request (or POST if data is not None)'
url = self.url(endpoint)
log.debug(('%s: %s %s' % (self.__class__.__name__, ('GET' if (data is None) else 'POST'), url)))
def raise_error(reason):
raise self.QueryError(('Failed to ... | Request an HTTP endpoint with a GET request (or POST if data is not None) | src/main/python/twitter/aurora/common/http_signaler.py | query | isomer/incubator-aurora | 0 | python | def query(self, endpoint, data=None):
url = self.url(endpoint)
log.debug(('%s: %s %s' % (self.__class__.__name__, ('GET' if (data is None) else 'POST'), url)))
def raise_error(reason):
raise self.QueryError(('Failed to signal %s: %s' % (self.url(endpoint), reason)))
try:
with conte... | def query(self, endpoint, data=None):
url = self.url(endpoint)
log.debug(('%s: %s %s' % (self.__class__.__name__, ('GET' if (data is None) else 'POST'), url)))
def raise_error(reason):
raise self.QueryError(('Failed to signal %s: %s' % (self.url(endpoint), reason)))
try:
with conte... |
3434d0c2f34878edeed2b66ceeb82fdb551588ab53010379e9497e6ffe58ce19 | def __call__(self, endpoint, use_post_method=False, expected_response=None):
'Returns a (boolean, string|None) tuple of (call success, failure reason)'
try:
response = self.query(endpoint, ('' if use_post_method else None)).strip().lower()
if ((expected_response is not None) and (response != exp... | Returns a (boolean, string|None) tuple of (call success, failure reason) | src/main/python/twitter/aurora/common/http_signaler.py | __call__ | isomer/incubator-aurora | 0 | python | def __call__(self, endpoint, use_post_method=False, expected_response=None):
try:
response = self.query(endpoint, ( if use_post_method else None)).strip().lower()
if ((expected_response is not None) and (response != expected_response)):
def shorten(string):
return (... | def __call__(self, endpoint, use_post_method=False, expected_response=None):
try:
response = self.query(endpoint, ( if use_post_method else None)).strip().lower()
if ((expected_response is not None) and (response != expected_response)):
def shorten(string):
return (... |
04b2f8aded1268d98132e8a0e72fe8bc887b9932a15fe796da979118b9b4dd9c | def get_dec():
'現在位置を取得'
global tree_path
return tree_path[(len(tree_path) - 1)] | 現在位置を取得 | maze.py | get_dec | muzudho/collatz | 0 | python | def get_dec():
global tree_path
return tree_path[(len(tree_path) - 1)] | def get_dec():
global tree_path
return tree_path[(len(tree_path) - 1)]<|docstring|>現在位置を取得<|endoftext|> |
c264ca6c62d6e25ee4c7fb42ef080e6493c79a2ea50c3dfbad96a5a2f5a5d340 | def choice_next():
'次の目的地の表示'
dec = get_dec()
while True:
next_list_list = [[0]]
next_width = 0
if ((dec != 4) and (dec != 7)):
dec_minus_one_divided_of_3 = (((dec - 1) % 3) == 0)
next = ((dec - 1) // 3)
next_is_odd = ((next % 2) == 1)
... | 次の目的地の表示 | maze.py | choice_next | muzudho/collatz | 0 | python | def choice_next():
dec = get_dec()
while True:
next_list_list = [[0]]
next_width = 0
if ((dec != 4) and (dec != 7)):
dec_minus_one_divided_of_3 = (((dec - 1) % 3) == 0)
next = ((dec - 1) // 3)
next_is_odd = ((next % 2) == 1)
if ((next ... | def choice_next():
dec = get_dec()
while True:
next_list_list = [[0]]
next_width = 0
if ((dec != 4) and (dec != 7)):
dec_minus_one_divided_of_3 = (((dec - 1) % 3) == 0)
next = ((dec - 1) // 3)
next_is_odd = ((next % 2) == 1)
if ((next ... |
057a3d7fde9a880215a7a74a939642c618a992d87136a6add75600e591a3160b | def module_is_avalaible(self):
' Check if this module should be shown to current user '
return False | Check if this module should be shown to current user | containers/shiva/engine/modules/heartbeat.py | module_is_avalaible | LifeDJIK/S.H.I.V.A. | 0 | python | def module_is_avalaible(self):
' '
return False | def module_is_avalaible(self):
' '
return False<|docstring|>Check if this module should be shown to current user<|endoftext|> |
9eb74badc37e6ef315b3dae39feac443943c36aaaf4d7e05855ebe196aa29d5d | @cherrypy.expose
def index(self):
' Index '
return 'OK' | Index | containers/shiva/engine/modules/heartbeat.py | index | LifeDJIK/S.H.I.V.A. | 0 | python | @cherrypy.expose
def index(self):
' '
return 'OK' | @cherrypy.expose
def index(self):
' '
return 'OK'<|docstring|>Index<|endoftext|> |
51e37fba007100eedda0bc40d602866bf3912eeca4c80905d99f6911b42baeb3 | def vgg11(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 11-layer model.\n\n VGG 11-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... | Create VGG 11-layer model.
VGG 11-layer model from `"Very Deep Convolutional Networks for Large-Scale Image
Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input
size of the model is 32x32.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet | frarch/models/classification/cnn/vgg.py | vgg11 | victorbadenas/frarch | 0 | python | def vgg11(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 11-layer model.\n\n VGG 11-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... | def vgg11(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 11-layer model.\n\n VGG 11-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... |
f8121c8065e1af5e2866d225ea605a9b0c3570ccec46f4fa880f597ca21b62be | def vgg11_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 11-layer with batch normalization model.\n\n VGG 11-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... | Create VGG 11-layer with batch normalization model.
VGG 11-layer model with batch normalization from `"Very Deep Convolutional Networks
for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.
The required minimum input size of the model is 32x32.
Args:
pretrained (bool): If True, returns a mod... | frarch/models/classification/cnn/vgg.py | vgg11_bn | victorbadenas/frarch | 0 | python | def vgg11_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 11-layer with batch normalization model.\n\n VGG 11-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... | def vgg11_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 11-layer with batch normalization model.\n\n VGG 11-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... |
b236a297db1c92b062e4bbb460006bbbc4605ea73d75fc835a8666b52dd4f559 | def vgg13(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 13-layer model.\n\n VGG 13-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... | Create VGG 13-layer model.
VGG 13-layer model from `"Very Deep Convolutional Networks for Large-Scale Image
Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input
size of the model is 32x32.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet | frarch/models/classification/cnn/vgg.py | vgg13 | victorbadenas/frarch | 0 | python | def vgg13(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 13-layer model.\n\n VGG 13-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... | def vgg13(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 13-layer model.\n\n VGG 13-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... |
b59c5927c16eb92919fc34b6361308186eba3933d810a4127e3277e341d3d508 | def vgg13_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 13-layer with batch normalization model.\n\n VGG 13-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... | Create VGG 13-layer with batch normalization model.
VGG 13-layer model with batch normalization from `"Very Deep Convolutional Networks
for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.
The required minimum input size of the model is 32x32.
Args:
pretrained (bool): If True, returns a mod... | frarch/models/classification/cnn/vgg.py | vgg13_bn | victorbadenas/frarch | 0 | python | def vgg13_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 13-layer with batch normalization model.\n\n VGG 13-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... | def vgg13_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 13-layer with batch normalization model.\n\n VGG 13-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... |
6f93ae73682b7a51854b1e47e54496f9c2743900b3e71124bf32e3323833dc65 | def vgg16(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 16-layer model.\n\n VGG 16-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... | Create VGG 16-layer model.
VGG 16-layer model from `"Very Deep Convolutional Networks for Large-Scale Image
Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input
size of the model is 32x32.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet | frarch/models/classification/cnn/vgg.py | vgg16 | victorbadenas/frarch | 0 | python | def vgg16(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 16-layer model.\n\n VGG 16-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... | def vgg16(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 16-layer model.\n\n VGG 16-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... |
545bb2be8c45defd135b83345be91a0b1cceced0ae20046ea7ff3de307cbc344 | def vgg16_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 16-layer with batch normalization model.\n\n VGG 16-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... | Create VGG 16-layer with batch normalization model.
VGG 16-layer model with batch normalization from `"Very Deep Convolutional Networks
for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.
The required minimum input size of the model is 32x32.
Args:
pretrained (bool): If True, returns a mod... | frarch/models/classification/cnn/vgg.py | vgg16_bn | victorbadenas/frarch | 0 | python | def vgg16_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 16-layer with batch normalization model.\n\n VGG 16-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... | def vgg16_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 16-layer with batch normalization model.\n\n VGG 16-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... |
6af3c4d6898e2962d11419845eb1054fd2fb9f6789994144d738b85968f577ee | def vgg19(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 19-layer model.\n\n VGG 19-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... | Create VGG 19-layer model.
VGG 19-layer model from `"Very Deep Convolutional Networks for Large-Scale Image
Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input
size of the model is 32x32.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet | frarch/models/classification/cnn/vgg.py | vgg19 | victorbadenas/frarch | 0 | python | def vgg19(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 19-layer model.\n\n VGG 19-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... | def vgg19(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 19-layer model.\n\n VGG 19-layer model from `"Very Deep Convolutional Networks for Large-Scale Image\n Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_. The required minimum input\n size of the model is 32x32.\n\n Args:\n pr... |
91d5cd7e7997002e32daa9920380fa06f9d8d1ebad5bdf67ceab49b7b833f82a | def vgg19_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 19-layer with batch normalization model.\n\n VGG 19-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... | Create VGG 19-layer with batch normalization model.
VGG 19-layer model with batch normalization from `"Very Deep Convolutional Networks
for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.
The required minimum input size of the model is 32x32.
Args:
pretrained (bool): If True, returns a mod... | frarch/models/classification/cnn/vgg.py | vgg19_bn | victorbadenas/frarch | 0 | python | def vgg19_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 19-layer with batch normalization model.\n\n VGG 19-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... | def vgg19_bn(pretrained: bool=False, **kwargs: Any) -> VGG:
'Create VGG 19-layer with batch normalization model.\n\n VGG 19-layer model with batch normalization from `"Very Deep Convolutional Networks\n for Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_.\n The required minimum input... |
3686b6f0d3a523c81a4870f4b653bcebd255a2a8a586326d9bbdd502314f1828 | def forward(self, x: torch.Tensor) -> torch.Tensor:
'Define the computation performed at every call.\n\n forward computation for VGG.\n\n Args:\n x (torch.Tensor): input to the model.\n\n Returns:\n torch.Tensor: output of the model.\n '
x = self.features(x)
... | Define the computation performed at every call.
forward computation for VGG.
Args:
x (torch.Tensor): input to the model.
Returns:
torch.Tensor: output of the model. | frarch/models/classification/cnn/vgg.py | forward | victorbadenas/frarch | 0 | python | def forward(self, x: torch.Tensor) -> torch.Tensor:
'Define the computation performed at every call.\n\n forward computation for VGG.\n\n Args:\n x (torch.Tensor): input to the model.\n\n Returns:\n torch.Tensor: output of the model.\n '
x = self.features(x)
... | def forward(self, x: torch.Tensor) -> torch.Tensor:
'Define the computation performed at every call.\n\n forward computation for VGG.\n\n Args:\n x (torch.Tensor): input to the model.\n\n Returns:\n torch.Tensor: output of the model.\n '
x = self.features(x)
... |
82502769e4db6a946de51f0081992fd5d2d5163a8aef32d5d412bbdd5361b411 | def forward(self, x: torch.Tensor) -> torch.Tensor:
'Define the computation performed at every call.\n\n forward computation for VGG.\n\n Args:\n x (torch.Tensor): input to the model.\n\n Returns:\n torch.Tensor: output of the model.\n '
x = self.classifier(x)
... | Define the computation performed at every call.
forward computation for VGG.
Args:
x (torch.Tensor): input to the model.
Returns:
torch.Tensor: output of the model. | frarch/models/classification/cnn/vgg.py | forward | victorbadenas/frarch | 0 | python | def forward(self, x: torch.Tensor) -> torch.Tensor:
'Define the computation performed at every call.\n\n forward computation for VGG.\n\n Args:\n x (torch.Tensor): input to the model.\n\n Returns:\n torch.Tensor: output of the model.\n '
x = self.classifier(x)
... | def forward(self, x: torch.Tensor) -> torch.Tensor:
'Define the computation performed at every call.\n\n forward computation for VGG.\n\n Args:\n x (torch.Tensor): input to the model.\n\n Returns:\n torch.Tensor: output of the model.\n '
x = self.classifier(x)
... |
b4cb0e76e215abd31aa9bab17d5b83fc2304d0fcc582c54682d62cb1fb92fe14 | def AddFile(self, filePath=None, logicalFolder=None, type=None, name=None, file=None):
' Usage: self.AddFile(filePath, logicalFolder, type, name) # used for initial generation of object\n self.AddFile(file=xyzFile) # normally used for redo/undo\n Add newly created file object using fi... | Usage: self.AddFile(filePath, logicalFolder, type, name) # used for initial generation of object
self.AddFile(file=xyzFile) # normally used for redo/undo
Add newly created file object using filePath and logicalFolder or given file object | noval/project/basemodel.py | AddFile | bopopescu/NovalIDE | 0 | python | def AddFile(self, filePath=None, logicalFolder=None, type=None, name=None, file=None):
' Usage: self.AddFile(filePath, logicalFolder, type, name) # used for initial generation of object\n self.AddFile(file=xyzFile) # normally used for redo/undo\n Add newly created file object using fi... | def AddFile(self, filePath=None, logicalFolder=None, type=None, name=None, file=None):
' Usage: self.AddFile(filePath, logicalFolder, type, name) # used for initial generation of object\n self.AddFile(file=xyzFile) # normally used for redo/undo\n Add newly created file object using fi... |
11084b3501b2825183243676d133e7135b737dda0b528b6d90727d55cc3f1c7f | def _SetCache(self, enable):
"\n Only turn this on if your operation assumes files on disk won't change.\n Once your operation is done, turn this back off.\n Nested enables are allowed, only the last disable will disable the cache.\n \n This bypasses the IsDocu... | Only turn this on if your operation assumes files on disk won't change.
Once your operation is done, turn this back off.
Nested enables are allowed, only the last disable will disable the cache.
This bypasses the IsDocumentModificationDateCorrect call because the modification date check is too costly, it hits the disk... | noval/project/basemodel.py | _SetCache | bopopescu/NovalIDE | 0 | python | def _SetCache(self, enable):
"\n Only turn this on if your operation assumes files on disk won't change.\n Once your operation is done, turn this back off.\n Nested enables are allowed, only the last disable will disable the cache.\n \n This bypasses the IsDocu... | def _SetCache(self, enable):
"\n Only turn this on if your operation assumes files on disk won't change.\n Once your operation is done, turn this back off.\n Nested enables are allowed, only the last disable will disable the cache.\n \n This bypasses the IsDocu... |
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