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 |
|---|---|---|---|---|---|---|---|---|---|
726ac45f4aba7e98c9672c77c9cf246504e1a01f8d9803e34dad100eddad552a | def at_object_creation(self):
'Called at first creation'
super().at_object_creation()
self.db.puzzle_value = 1
self.db.success_teleport_msg = 'You are successful!'
self.db.success_teleport_to = 'treasure room'
self.db.failure_teleport_msg = 'You fail!'
self.db.failure_teleport_to = 'dark cel... | Called at first creation | typeclasses/rooms/teleports.py | at_object_creation | Tiogaplanet/Druidia | 0 | python | def at_object_creation(self):
super().at_object_creation()
self.db.puzzle_value = 1
self.db.success_teleport_msg = 'You are successful!'
self.db.success_teleport_to = 'treasure room'
self.db.failure_teleport_msg = 'You fail!'
self.db.failure_teleport_to = 'dark cell' | def at_object_creation(self):
super().at_object_creation()
self.db.puzzle_value = 1
self.db.success_teleport_msg = 'You are successful!'
self.db.success_teleport_to = 'treasure room'
self.db.failure_teleport_msg = 'You fail!'
self.db.failure_teleport_to = 'dark cell'<|docstring|>Called at f... |
3dbd675dd77db5089dd37e7c0d60298a5f67ee74a945c47cf4cf5f22afff43a6 | def at_object_receive(self, character, source_location):
'\n This hook is called by the engine whenever the player is moved into\n this room.\n '
if (not character.has_account):
return
is_success = (str(character.db.puzzle_clue) == str(self.db.puzzle_value))
teleport_to = (s... | This hook is called by the engine whenever the player is moved into
this room. | typeclasses/rooms/teleports.py | at_object_receive | Tiogaplanet/Druidia | 0 | python | def at_object_receive(self, character, source_location):
'\n This hook is called by the engine whenever the player is moved into\n this room.\n '
if (not character.has_account):
return
is_success = (str(character.db.puzzle_clue) == str(self.db.puzzle_value))
teleport_to = (s... | def at_object_receive(self, character, source_location):
'\n This hook is called by the engine whenever the player is moved into\n this room.\n '
if (not character.has_account):
return
is_success = (str(character.db.puzzle_clue) == str(self.db.puzzle_value))
teleport_to = (s... |
9d08dbc9b5370fa4b887254694bc5bd2386546243d85fee29ca7c156d6e91193 | def not_readonly(path):
'\n Final function of the log\n Args:\n path: path of file\n\n '
print('Created log file {}'.format(path)) | Final function of the log
Args:
path: path of file | scripts/log_file_generator.py | not_readonly | ISISComputingGroup/EPICS-inst_servers | 1 | python | def not_readonly(path):
'\n Final function of the log\n Args:\n path: path of file\n\n '
print('Created log file {}'.format(path)) | def not_readonly(path):
'\n Final function of the log\n Args:\n path: path of file\n\n '
print('Created log file {}'.format(path))<|docstring|>Final function of the log
Args:
path: path of file<|endoftext|> |
a822bc8d24e40f4bc9e07edc0915b5577ed8a4fcc3e8ed2cf9b2c205eb43abc0 | def create_log(headers, columns, time_period, default_field, filename_template='default.log', host='127.0.0.1'):
'\n Create pv monitors based on the iocdatabase\n\n Returns: monitor for PV\n\n '
archive_mysql_abstraction_layer = SQLAbstraction('archive', 'report', '$report', host=host)
archiver_dat... | Create pv monitors based on the iocdatabase
Returns: monitor for PV | scripts/log_file_generator.py | create_log | ISISComputingGroup/EPICS-inst_servers | 1 | python | def create_log(headers, columns, time_period, default_field, filename_template='default.log', host='127.0.0.1'):
'\n Create pv monitors based on the iocdatabase\n\n Returns: monitor for PV\n\n '
archive_mysql_abstraction_layer = SQLAbstraction('archive', 'report', '$report', host=host)
archiver_dat... | def create_log(headers, columns, time_period, default_field, filename_template='default.log', host='127.0.0.1'):
'\n Create pv monitors based on the iocdatabase\n\n Returns: monitor for PV\n\n '
archive_mysql_abstraction_layer = SQLAbstraction('archive', 'report', '$report', host=host)
archiver_dat... |
29cb2fc6d7a79db6378bede35fe37e443a49bac0851a167ab82a81655bc267e0 | def init_model(self, session, checkpoint_file):
'\n Initializes DualCam-Net network parameters.\n '
variables_to_restore = slim.get_model_variables(self.scope)
init_fn = slim.assign_from_checkpoint_fn(checkpoint_file, variables_to_restore)
init_fn(session) | Initializes DualCam-Net network parameters. | models/unet_z.py | init_model | IIT-PAVIS/Acoustic-Image-Generation | 0 | python | def init_model(self, session, checkpoint_file):
'\n \n '
variables_to_restore = slim.get_model_variables(self.scope)
init_fn = slim.assign_from_checkpoint_fn(checkpoint_file, variables_to_restore)
init_fn(session) | def init_model(self, session, checkpoint_file):
'\n \n '
variables_to_restore = slim.get_model_variables(self.scope)
init_fn = slim.assign_from_checkpoint_fn(checkpoint_file, variables_to_restore)
init_fn(session)<|docstring|>Initializes DualCam-Net network parameters.<|endoftext|> |
efb986e8ff7da0d8d5fe4153b4517182d83ac31e3df290dc604e74a0e5282fd2 | def _build_network(self, inputs, mean2, std2, is_training=True, keep_prob=0.5, weight_decay=1e-06, scope='UNetAcoustic'):
'\n Builds a three-layer network that operates over a spectrogram.\n '
with tf.variable_scope(scope, 'UNetAcoustic', [inputs]) as sc:
end_points_collection = (sc.origin... | Builds a three-layer network that operates over a spectrogram. | models/unet_z.py | _build_network | IIT-PAVIS/Acoustic-Image-Generation | 0 | python | def _build_network(self, inputs, mean2, std2, is_training=True, keep_prob=0.5, weight_decay=1e-06, scope='UNetAcoustic'):
'\n \n '
with tf.variable_scope(scope, 'UNetAcoustic', [inputs]) as sc:
end_points_collection = (sc.original_name_scope + '_end_points')
(conv1, pool1) = self.c... | def _build_network(self, inputs, mean2, std2, is_training=True, keep_prob=0.5, weight_decay=1e-06, scope='UNetAcoustic'):
'\n \n '
with tf.variable_scope(scope, 'UNetAcoustic', [inputs]) as sc:
end_points_collection = (sc.original_name_scope + '_end_points')
(conv1, pool1) = self.c... |
8a688f0d9a8eb7a8bc4c02fb12af13d5fe84696bd636cc7047bc5ab5f3d7b533 | def _build_model(self, acoustic_images, mean2, std2):
'\n Builds the hybrid model using slim and base functions.\n '
is_training = tf.placeholder(tf.bool, name='is_training')
keep_prob = tf.placeholder(tf.float32, name='keep_prob')
end_points = OrderedDict({'input': acoustic_images, 'is_tr... | Builds the hybrid model using slim and base functions. | models/unet_z.py | _build_model | IIT-PAVIS/Acoustic-Image-Generation | 0 | python | def _build_model(self, acoustic_images, mean2, std2):
'\n \n '
is_training = tf.placeholder(tf.bool, name='is_training')
keep_prob = tf.placeholder(tf.float32, name='keep_prob')
end_points = OrderedDict({'input': acoustic_images, 'is_training': is_training, 'keep_prob': keep_prob})
(me... | def _build_model(self, acoustic_images, mean2, std2):
'\n \n '
is_training = tf.placeholder(tf.bool, name='is_training')
keep_prob = tf.placeholder(tf.float32, name='keep_prob')
end_points = OrderedDict({'input': acoustic_images, 'is_training': is_training, 'keep_prob': keep_prob})
(me... |
86b6d460b95b628073a4ff2bb65201c07ca0f88773daf03ac27db4fb435151f1 | def conv_conv_pool(self, input_, n_filters, is_training, weight_decay, name, pool=True, activation=tf.nn.relu, padding='same', filters=(3, 3), strides=(2, 2)):
'{Conv -> BN -> RELU}x2 -> {Pool, optional}\n Args:\n input_ (4-D Tensor): (batch_size, H, W, C)\n n_filters (list): number of ... | {Conv -> BN -> RELU}x2 -> {Pool, optional}
Args:
input_ (4-D Tensor): (batch_size, H, W, C)
n_filters (list): number of filters [int, int]
training (1-D Tensor): Boolean Tensor
name (str): name postfix
pool (bool): If True, MaxPool2D
activation: Activaion functions
Returns:
net: output of th... | models/unet_z.py | conv_conv_pool | IIT-PAVIS/Acoustic-Image-Generation | 0 | python | def conv_conv_pool(self, input_, n_filters, is_training, weight_decay, name, pool=True, activation=tf.nn.relu, padding='same', filters=(3, 3), strides=(2, 2)):
'{Conv -> BN -> RELU}x2 -> {Pool, optional}\n Args:\n input_ (4-D Tensor): (batch_size, H, W, C)\n n_filters (list): number of ... | def conv_conv_pool(self, input_, n_filters, is_training, weight_decay, name, pool=True, activation=tf.nn.relu, padding='same', filters=(3, 3), strides=(2, 2)):
'{Conv -> BN -> RELU}x2 -> {Pool, optional}\n Args:\n input_ (4-D Tensor): (batch_size, H, W, C)\n n_filters (list): number of ... |
08371247b71e9e08cb792ab4624ae57222e9373b4e5849ff2ab248301eaa5c60 | def upconv(self, inputA, n_filter, weight_decay, name, kernel_size=2, strides=2):
'Upsample `inputA` and concat with `input_B`\n Args:\n input_A (4-D Tensor): (N, H, W, C)\n input_B (4-D Tensor): (N, 2*H, 2*H, C2)\n name (str): name of the concat operation\n Returns:\n... | Upsample `inputA` and concat with `input_B`
Args:
input_A (4-D Tensor): (N, H, W, C)
input_B (4-D Tensor): (N, 2*H, 2*H, C2)
name (str): name of the concat operation
Returns:
output (4-D Tensor): (N, 2*H, 2*W, C + C2) | models/unet_z.py | upconv | IIT-PAVIS/Acoustic-Image-Generation | 0 | python | def upconv(self, inputA, n_filter, weight_decay, name, kernel_size=2, strides=2):
'Upsample `inputA` and concat with `input_B`\n Args:\n input_A (4-D Tensor): (N, H, W, C)\n input_B (4-D Tensor): (N, 2*H, 2*H, C2)\n name (str): name of the concat operation\n Returns:\n... | def upconv(self, inputA, n_filter, weight_decay, name, kernel_size=2, strides=2):
'Upsample `inputA` and concat with `input_B`\n Args:\n input_A (4-D Tensor): (N, H, W, C)\n input_B (4-D Tensor): (N, 2*H, 2*H, C2)\n name (str): name of the concat operation\n Returns:\n... |
636e7d436af0a6af5af48c47abe8e0f7bb2f7b91ff7614b88a799529f1fc4512 | def upconv_2D(self, tensor, n_filter, weight_decay, name, kernel_size=2, strides=2):
'Up Convolution `tensor` by 2 times\n Args:\n tensor (4-D Tensor): (N, H, W, C)\n n_filter (int): Filter Size\n name (str): name of upsampling operations\n Returns:\n output... | Up Convolution `tensor` by 2 times
Args:
tensor (4-D Tensor): (N, H, W, C)
n_filter (int): Filter Size
name (str): name of upsampling operations
Returns:
output (4-D Tensor): (N, 2 * H, 2 * W, C) | models/unet_z.py | upconv_2D | IIT-PAVIS/Acoustic-Image-Generation | 0 | python | def upconv_2D(self, tensor, n_filter, weight_decay, name, kernel_size=2, strides=2):
'Up Convolution `tensor` by 2 times\n Args:\n tensor (4-D Tensor): (N, H, W, C)\n n_filter (int): Filter Size\n name (str): name of upsampling operations\n Returns:\n output... | def upconv_2D(self, tensor, n_filter, weight_decay, name, kernel_size=2, strides=2):
'Up Convolution `tensor` by 2 times\n Args:\n tensor (4-D Tensor): (N, H, W, C)\n n_filter (int): Filter Size\n name (str): name of upsampling operations\n Returns:\n output... |
8a86523fc0dee7e8a9de912731bfdc428a41d7e9aa02414852264282e9562763 | def deprecated(dies_at):
'Mark a flask view as deprecated\n\n Usage:\n @deprecated(dies_at=datetime(2015, 8, 1))\n '
def decorator(view):
@wraps(view)
def func(*args, **kwargs):
message = "Calling deprecated view '{view_name}'. Dies in {time_left}."
time_left =... | Mark a flask view as deprecated
Usage:
@deprecated(dies_at=datetime(2015, 8, 1)) | dmutils/deprecation.py | deprecated | ndavisontest/dto-digitalmarketplace-utils | 3 | python | def deprecated(dies_at):
'Mark a flask view as deprecated\n\n Usage:\n @deprecated(dies_at=datetime(2015, 8, 1))\n '
def decorator(view):
@wraps(view)
def func(*args, **kwargs):
message = "Calling deprecated view '{view_name}'. Dies in {time_left}."
time_left =... | def deprecated(dies_at):
'Mark a flask view as deprecated\n\n Usage:\n @deprecated(dies_at=datetime(2015, 8, 1))\n '
def decorator(view):
@wraps(view)
def func(*args, **kwargs):
message = "Calling deprecated view '{view_name}'. Dies in {time_left}."
time_left =... |
374d1b83457c67d67ce3a261e26fefd834c46fe6556f65041eebc4ccf9e222b4 | def to_dict(self):
'\n Convert the object into a json serializable dictionary.\n Note: It uses the private method _save_to_input_dict of the parent.\n :return dict: json serializable dictionary containing the needed information to instantiate the object\n '
input_dict = super(ChangeK... | Convert the object into a json serializable dictionary.
Note: It uses the private method _save_to_input_dict of the parent.
:return dict: json serializable dictionary containing the needed information to instantiate the object | GPy_ABCD/Kernels/changeOperators.py | to_dict | juanluislm/GPy-ABCD | 0 | python | def to_dict(self):
'\n Convert the object into a json serializable dictionary.\n Note: It uses the private method _save_to_input_dict of the parent.\n :return dict: json serializable dictionary containing the needed information to instantiate the object\n '
input_dict = super(ChangeK... | def to_dict(self):
'\n Convert the object into a json serializable dictionary.\n Note: It uses the private method _save_to_input_dict of the parent.\n :return dict: json serializable dictionary containing the needed information to instantiate the object\n '
input_dict = super(ChangeK... |
51452e03d667aefbb6f2fb654db607ad4261a6b1368ce5e3cac1825d4206d696 | def process(self):
'\n Process the expression in whatever ways are specified by the state options.\n '
self._execute()
self._post_process()
self.state._inspect('expr', BP_AFTER, expr=self.expr) | Process the expression in whatever ways are specified by the state options. | angr/engines/vex/expressions/base.py | process | cclauss/angr | 2 | python | def process(self):
'\n \n '
self._execute()
self._post_process()
self.state._inspect('expr', BP_AFTER, expr=self.expr) | def process(self):
'\n \n '
self._execute()
self._post_process()
self.state._inspect('expr', BP_AFTER, expr=self.expr)<|docstring|>Process the expression in whatever ways are specified by the state options.<|endoftext|> |
a7a00455e5f5764677204028f74b79f269e5e27bc7bb1cf02b073522c7923cf8 | def _translate_expr(self, expr):
'Translate a single IRExpr, honoring mode and options and so forth. Also updates state...'
e = translate_expr(expr, self.state)
self._record_expr(e)
self.child_exprs.append(e)
return e | Translate a single IRExpr, honoring mode and options and so forth. Also updates state... | angr/engines/vex/expressions/base.py | _translate_expr | cclauss/angr | 2 | python | def _translate_expr(self, expr):
e = translate_expr(expr, self.state)
self._record_expr(e)
self.child_exprs.append(e)
return e | def _translate_expr(self, expr):
e = translate_expr(expr, self.state)
self._record_expr(e)
self.child_exprs.append(e)
return e<|docstring|>Translate a single IRExpr, honoring mode and options and so forth. Also updates state...<|endoftext|> |
89ea995c953b1991c40b08cfa9d53ba4a40365aff60595273f038dfd3e6216ba | def _translate_exprs(self, exprs):
'Translates a sequence of IRExprs into SimIRExprs.'
return [self._translate_expr(e) for e in exprs] | Translates a sequence of IRExprs into SimIRExprs. | angr/engines/vex/expressions/base.py | _translate_exprs | cclauss/angr | 2 | python | def _translate_exprs(self, exprs):
return [self._translate_expr(e) for e in exprs] | def _translate_exprs(self, exprs):
return [self._translate_expr(e) for e in exprs]<|docstring|>Translates a sequence of IRExprs into SimIRExprs.<|endoftext|> |
cfa969d598fb94af19b483b9dcf93a115c224b33770da5657ab2c54df933a466 | def reg_deps(self):
'\n Returns a set of registers that this IRExpr depends on.\n '
if ((len(self.actions) == 0) or (o.ACTION_DEPS not in self.state.options)):
return _nonset
else:
return frozenset.union(*[r.reg_deps for r in self.actions if (type(r) in (SimActionData, SimActio... | Returns a set of registers that this IRExpr depends on. | angr/engines/vex/expressions/base.py | reg_deps | cclauss/angr | 2 | python | def reg_deps(self):
'\n \n '
if ((len(self.actions) == 0) or (o.ACTION_DEPS not in self.state.options)):
return _nonset
else:
return frozenset.union(*[r.reg_deps for r in self.actions if (type(r) in (SimActionData, SimActionOperation))]) | def reg_deps(self):
'\n \n '
if ((len(self.actions) == 0) or (o.ACTION_DEPS not in self.state.options)):
return _nonset
else:
return frozenset.union(*[r.reg_deps for r in self.actions if (type(r) in (SimActionData, SimActionOperation))])<|docstring|>Returns a set of registers t... |
675c1905aece450469f22da828703ad52bf93289c3872e98e6936f2e50569a71 | def tmp_deps(self):
'\n Returns a set of tmps that this IRExpr depends on\n '
if ((len(self.actions) == 0) or (o.ACTION_DEPS not in self.state.options)):
return _nonset
else:
return frozenset.union(*[r.tmp_deps for r in self.actions if (type(r) in (SimActionData, SimActionOpera... | Returns a set of tmps that this IRExpr depends on | angr/engines/vex/expressions/base.py | tmp_deps | cclauss/angr | 2 | python | def tmp_deps(self):
'\n \n '
if ((len(self.actions) == 0) or (o.ACTION_DEPS not in self.state.options)):
return _nonset
else:
return frozenset.union(*[r.tmp_deps for r in self.actions if (type(r) in (SimActionData, SimActionOperation))]) | def tmp_deps(self):
'\n \n '
if ((len(self.actions) == 0) or (o.ACTION_DEPS not in self.state.options)):
return _nonset
else:
return frozenset.union(*[r.tmp_deps for r in self.actions if (type(r) in (SimActionData, SimActionOperation))])<|docstring|>Returns a set of tmps that t... |
b4ee8ef157dc98c9f49f2898f375b0888ee5a381963438ce7e3cd788d4636741 | def sample_address(user, **params):
'Create and return a sample address object'
defaults = {'name': 'Name', 'line1': 'Line1', 'line2': 'Line2', 'city': 'City Name', 'district': 'Disctict Name', 'state': 'State', 'pincode': '123456', 'addressType': models.UserAddress.HOME}
defaults.update(params)
return ... | Create and return a sample address object | core/tests/test_models.py | sample_address | abhishekmorya/organic-shop-rest-api | 0 | python | def sample_address(user, **params):
defaults = {'name': 'Name', 'line1': 'Line1', 'line2': 'Line2', 'city': 'City Name', 'district': 'Disctict Name', 'state': 'State', 'pincode': '123456', 'addressType': models.UserAddress.HOME}
defaults.update(params)
return models.UserAddress.objects.create(user=user... | def sample_address(user, **params):
defaults = {'name': 'Name', 'line1': 'Line1', 'line2': 'Line2', 'city': 'City Name', 'district': 'Disctict Name', 'state': 'State', 'pincode': '123456', 'addressType': models.UserAddress.HOME}
defaults.update(params)
return models.UserAddress.objects.create(user=user... |
65ed6358ca03acfc74781e23b8e5bac2592fbaea451e7b7ae9485c77ed4460ab | def sample_category(user, **params):
'Create and return a sample category object'
defaults = {'name': 'Fruits', 'desc': 'Fresh Fruits'}
defaults.update(params)
return models.Category.objects.create(user=user, **defaults) | Create and return a sample category object | core/tests/test_models.py | sample_category | abhishekmorya/organic-shop-rest-api | 0 | python | def sample_category(user, **params):
defaults = {'name': 'Fruits', 'desc': 'Fresh Fruits'}
defaults.update(params)
return models.Category.objects.create(user=user, **defaults) | def sample_category(user, **params):
defaults = {'name': 'Fruits', 'desc': 'Fresh Fruits'}
defaults.update(params)
return models.Category.objects.create(user=user, **defaults)<|docstring|>Create and return a sample category object<|endoftext|> |
2f82c66ce466ffe6bc861e15c46c19ff27e1fb68adaf0098275d557e77835f67 | def sample_product(user, **params):
'Create and return a sample product object'
category = (params['category'] if ('category' in params.keys()) else sample_category(user))
defaults = {'category': category, 'title': 'Brown Bread', 'desc': 'Healthy Brown bread', 'price': 23.0, 'quantity': 5, 'unit': models.Pr... | Create and return a sample product object | core/tests/test_models.py | sample_product | abhishekmorya/organic-shop-rest-api | 0 | python | def sample_product(user, **params):
category = (params['category'] if ('category' in params.keys()) else sample_category(user))
defaults = {'category': category, 'title': 'Brown Bread', 'desc': 'Healthy Brown bread', 'price': 23.0, 'quantity': 5, 'unit': models.Product.UNIT, 'image': 'image url'}
defau... | def sample_product(user, **params):
category = (params['category'] if ('category' in params.keys()) else sample_category(user))
defaults = {'category': category, 'title': 'Brown Bread', 'desc': 'Healthy Brown bread', 'price': 23.0, 'quantity': 5, 'unit': models.Product.UNIT, 'image': 'image url'}
defau... |
f9dcd04820c34471752362bb89c3a0b8e03cb22ee3e20fb844851d374298ca93 | def test_create_user_with_email_successful(self):
'Test creating user with new email'
email = 'example@example.com'
password = 'testpassword'
user = get_user_model().objects.create_user(email=email, password=password)
self.assertEqual(user.email, email)
self.assertTrue(user.check_password(passwo... | Test creating user with new email | core/tests/test_models.py | test_create_user_with_email_successful | abhishekmorya/organic-shop-rest-api | 0 | python | def test_create_user_with_email_successful(self):
email = 'example@example.com'
password = 'testpassword'
user = get_user_model().objects.create_user(email=email, password=password)
self.assertEqual(user.email, email)
self.assertTrue(user.check_password(password)) | def test_create_user_with_email_successful(self):
email = 'example@example.com'
password = 'testpassword'
user = get_user_model().objects.create_user(email=email, password=password)
self.assertEqual(user.email, email)
self.assertTrue(user.check_password(password))<|docstring|>Test creating user... |
b09329b3f44223dedd65ac47b3bd133165ff589b09ef2b6cce77752a292d3418 | def test_new_user_with_email_normalize(self):
'Test the new user created with email normalized'
email = 'example@example.com'
password = 'testpassword'
user = get_user_model().objects.create_user(email=email, password=password)
self.assertEqual(user.email, email.lower()) | Test the new user created with email normalized | core/tests/test_models.py | test_new_user_with_email_normalize | abhishekmorya/organic-shop-rest-api | 0 | python | def test_new_user_with_email_normalize(self):
email = 'example@example.com'
password = 'testpassword'
user = get_user_model().objects.create_user(email=email, password=password)
self.assertEqual(user.email, email.lower()) | def test_new_user_with_email_normalize(self):
email = 'example@example.com'
password = 'testpassword'
user = get_user_model().objects.create_user(email=email, password=password)
self.assertEqual(user.email, email.lower())<|docstring|>Test the new user created with email normalized<|endoftext|> |
ffb24f278ee69a091959831ae3a5b7d129038c5637263524b5f2cb72a5db8107 | def test_new_user_invalid_mail(self):
'Test creating user with no email raise Value error'
with self.assertRaises(ValueError):
get_user_model().objects.create_user(email=None, password='Testpassword') | Test creating user with no email raise Value error | core/tests/test_models.py | test_new_user_invalid_mail | abhishekmorya/organic-shop-rest-api | 0 | python | def test_new_user_invalid_mail(self):
with self.assertRaises(ValueError):
get_user_model().objects.create_user(email=None, password='Testpassword') | def test_new_user_invalid_mail(self):
with self.assertRaises(ValueError):
get_user_model().objects.create_user(email=None, password='Testpassword')<|docstring|>Test creating user with no email raise Value error<|endoftext|> |
ace5ac9606f2aa94f6a9c831b4393cc25f84ebcaeb89e1c78a8c147763a1025c | def test_create_new_superuser(self):
'Test creating a new superuser'
email = 'example@example.com'
password = 'testpassword'
user = get_user_model().objects.create_superuser(email=email, password=password)
self.assertTrue(user.is_staff)
self.assertTrue(user.is_superuser) | Test creating a new superuser | core/tests/test_models.py | test_create_new_superuser | abhishekmorya/organic-shop-rest-api | 0 | python | def test_create_new_superuser(self):
email = 'example@example.com'
password = 'testpassword'
user = get_user_model().objects.create_superuser(email=email, password=password)
self.assertTrue(user.is_staff)
self.assertTrue(user.is_superuser) | def test_create_new_superuser(self):
email = 'example@example.com'
password = 'testpassword'
user = get_user_model().objects.create_superuser(email=email, password=password)
self.assertTrue(user.is_staff)
self.assertTrue(user.is_superuser)<|docstring|>Test creating a new superuser<|endoftext|> |
1e1148317effd06cd206724a17558dbdf45470496d2d6150ebe078167d5e72b6 | def test_address_str(self):
'Test the address string representation'
user = sample_user()
payload = {'name': 'Name', 'line1': 'Line1', 'line2': 'Line2', 'city': 'City Name', 'district': 'Disctict Name', 'state': 'State', 'pincode': '123456', 'addressType': models.UserAddress.HOME}
address = models.UserA... | Test the address string representation | core/tests/test_models.py | test_address_str | abhishekmorya/organic-shop-rest-api | 0 | python | def test_address_str(self):
user = sample_user()
payload = {'name': 'Name', 'line1': 'Line1', 'line2': 'Line2', 'city': 'City Name', 'district': 'Disctict Name', 'state': 'State', 'pincode': '123456', 'addressType': models.UserAddress.HOME}
address = models.UserAddress.objects.create(user=user, **paylo... | def test_address_str(self):
user = sample_user()
payload = {'name': 'Name', 'line1': 'Line1', 'line2': 'Line2', 'city': 'City Name', 'district': 'Disctict Name', 'state': 'State', 'pincode': '123456', 'addressType': models.UserAddress.HOME}
address = models.UserAddress.objects.create(user=user, **paylo... |
e089de9c10923aa0da7a570c9dc712e5ca00f40529c90ed7c67968ca05501672 | def test_category_str(self):
'Test the string representation of category object'
user = sample_user()
payload = {'name': 'Category', 'desc': 'Category desc'}
category = models.Category.objects.create(user=user, **payload)
self.assertEqual(str(category), payload['name']) | Test the string representation of category object | core/tests/test_models.py | test_category_str | abhishekmorya/organic-shop-rest-api | 0 | python | def test_category_str(self):
user = sample_user()
payload = {'name': 'Category', 'desc': 'Category desc'}
category = models.Category.objects.create(user=user, **payload)
self.assertEqual(str(category), payload['name']) | def test_category_str(self):
user = sample_user()
payload = {'name': 'Category', 'desc': 'Category desc'}
category = models.Category.objects.create(user=user, **payload)
self.assertEqual(str(category), payload['name'])<|docstring|>Test the string representation of category object<|endoftext|> |
622388af970c17a822f326ef62d7ceb51f46accfd3d7e2825636cbedb969d26d | def test_unique_categories(self):
'Test no duplicate categories are created'
user = sample_user()
models.Category.objects.create(user=user, name='Category')
with self.assertRaises(utils.IntegrityError):
models.Category.objects.create(user=user, name='Category') | Test no duplicate categories are created | core/tests/test_models.py | test_unique_categories | abhishekmorya/organic-shop-rest-api | 0 | python | def test_unique_categories(self):
user = sample_user()
models.Category.objects.create(user=user, name='Category')
with self.assertRaises(utils.IntegrityError):
models.Category.objects.create(user=user, name='Category') | def test_unique_categories(self):
user = sample_user()
models.Category.objects.create(user=user, name='Category')
with self.assertRaises(utils.IntegrityError):
models.Category.objects.create(user=user, name='Category')<|docstring|>Test no duplicate categories are created<|endoftext|> |
725ee92f9929c9120451d9e27decd75226dea4e9e489a017cd9357817e5f47b0 | def test_product_str(self):
'Test the string representation of product object'
user = sample_user()
category = sample_category(user=user)
payload = {'category': category, 'title': 'Brown Bread', 'desc': 'Healthy Brown bread', 'price': 23.0, 'quantity': 5, 'unit': models.Product.UNIT, 'image': 'image url... | Test the string representation of product object | core/tests/test_models.py | test_product_str | abhishekmorya/organic-shop-rest-api | 0 | python | def test_product_str(self):
user = sample_user()
category = sample_category(user=user)
payload = {'category': category, 'title': 'Brown Bread', 'desc': 'Healthy Brown bread', 'price': 23.0, 'quantity': 5, 'unit': models.Product.UNIT, 'image': 'image url'}
product = models.Product.objects.create(use... | def test_product_str(self):
user = sample_user()
category = sample_category(user=user)
payload = {'category': category, 'title': 'Brown Bread', 'desc': 'Healthy Brown bread', 'price': 23.0, 'quantity': 5, 'unit': models.Product.UNIT, 'image': 'image url'}
product = models.Product.objects.create(use... |
c32d5ae4ae49883dc378b724cde4ca4e38b007b12bbbbb3637a0751291837d98 | @patch('uuid.uuid4')
def test_product_filename_uuid(self, mock_uuid):
'Test product image is saved to correct path'
uuid = 'test-uuid'
mock_uuid.return_value = uuid
file_path = models.uploaded_images_for_products(None, 'my-image.jpg')
exp_path = f'uploads/products/{uuid}.jpg'
self.assertEqual(fi... | Test product image is saved to correct path | core/tests/test_models.py | test_product_filename_uuid | abhishekmorya/organic-shop-rest-api | 0 | python | @patch('uuid.uuid4')
def test_product_filename_uuid(self, mock_uuid):
uuid = 'test-uuid'
mock_uuid.return_value = uuid
file_path = models.uploaded_images_for_products(None, 'my-image.jpg')
exp_path = f'uploads/products/{uuid}.jpg'
self.assertEqual(file_path, exp_path) | @patch('uuid.uuid4')
def test_product_filename_uuid(self, mock_uuid):
uuid = 'test-uuid'
mock_uuid.return_value = uuid
file_path = models.uploaded_images_for_products(None, 'my-image.jpg')
exp_path = f'uploads/products/{uuid}.jpg'
self.assertEqual(file_path, exp_path)<|docstring|>Test product i... |
d6a4f818ceb509013d50d0c040ed667b923f3a566fe0bae588144dd906a32775 | def test_one_to_one_mapping_of_user_address(self):
'Test the one to one mapping of user and UserAddress'
user = sample_user()
address1 = sample_address(user=user)
payload = {'name': 'Abhishek', 'line1': 'Line1', 'line2': 'Line2', 'city': 'Pune', 'district': 'Pune', 'state': 'Maharastra', 'pincode': '123... | Test the one to one mapping of user and UserAddress | core/tests/test_models.py | test_one_to_one_mapping_of_user_address | abhishekmorya/organic-shop-rest-api | 0 | python | def test_one_to_one_mapping_of_user_address(self):
user = sample_user()
address1 = sample_address(user=user)
payload = {'name': 'Abhishek', 'line1': 'Line1', 'line2': 'Line2', 'city': 'Pune', 'district': 'Pune', 'state': 'Maharastra', 'pincode': '123456', 'addressType': models.UserAddress.HOME}
add... | def test_one_to_one_mapping_of_user_address(self):
user = sample_user()
address1 = sample_address(user=user)
payload = {'name': 'Abhishek', 'line1': 'Line1', 'line2': 'Line2', 'city': 'Pune', 'district': 'Pune', 'state': 'Maharastra', 'pincode': '123456', 'addressType': models.UserAddress.HOME}
add... |
7f2569b6e0e29f4597c8a0a130311b2cbdaeedcd08cc4948d195f703b66429c2 | def test_shopping_cart_str(self):
'Test string representation of Shopping Cart Object'
user = sample_user()
product = sample_product(user)
payload = {'product': product, 'count': 2}
shoppingCart = models.ShoppingCart.objects.create(user=user, **payload)
models.ShoppingCart.objects.count()
se... | Test string representation of Shopping Cart Object | core/tests/test_models.py | test_shopping_cart_str | abhishekmorya/organic-shop-rest-api | 0 | python | def test_shopping_cart_str(self):
user = sample_user()
product = sample_product(user)
payload = {'product': product, 'count': 2}
shoppingCart = models.ShoppingCart.objects.create(user=user, **payload)
models.ShoppingCart.objects.count()
self.assertEqual(f"{str(product)}, {payload['count']}"... | def test_shopping_cart_str(self):
user = sample_user()
product = sample_product(user)
payload = {'product': product, 'count': 2}
shoppingCart = models.ShoppingCart.objects.create(user=user, **payload)
models.ShoppingCart.objects.count()
self.assertEqual(f"{str(product)}, {payload['count']}"... |
16010b87fb0cc528c71cfd0f4c9e6553d2b0618adc1c02ce325eb22603b8509c | def test_payment_mode_str(self):
'Test string representation of Payment mode object'
user = sample_user()
payload = {'title': 'UPI', 'desc': 'UPI payment', 'charges': 2.2, 'enabled': True}
paymentMode = models.PaymentMode.objects.create(user=user, **payload)
self.assertEqual(payload['title'], str(pa... | Test string representation of Payment mode object | core/tests/test_models.py | test_payment_mode_str | abhishekmorya/organic-shop-rest-api | 0 | python | def test_payment_mode_str(self):
user = sample_user()
payload = {'title': 'UPI', 'desc': 'UPI payment', 'charges': 2.2, 'enabled': True}
paymentMode = models.PaymentMode.objects.create(user=user, **payload)
self.assertEqual(payload['title'], str(paymentMode)) | def test_payment_mode_str(self):
user = sample_user()
payload = {'title': 'UPI', 'desc': 'UPI payment', 'charges': 2.2, 'enabled': True}
paymentMode = models.PaymentMode.objects.create(user=user, **payload)
self.assertEqual(payload['title'], str(paymentMode))<|docstring|>Test string representation ... |
b5b727cfb391d0a7530954221705796267219176a5b60655000e27a811d2e691 | def test_offer_str(self):
'Test string representation of Offer object'
user = sample_user()
payload = {'title': 'Summer Season', 'percentage': 20.5, 'desc': 'Summer season sale of 2022', 'expiry_date': timezone.make_aware(datetime(2022, 6, 30, 23, 59, 59))}
offer = models.Offer.objects.create(user=user,... | Test string representation of Offer object | core/tests/test_models.py | test_offer_str | abhishekmorya/organic-shop-rest-api | 0 | python | def test_offer_str(self):
user = sample_user()
payload = {'title': 'Summer Season', 'percentage': 20.5, 'desc': 'Summer season sale of 2022', 'expiry_date': timezone.make_aware(datetime(2022, 6, 30, 23, 59, 59))}
offer = models.Offer.objects.create(user=user, **payload)
self.assertEqual(payload['ti... | def test_offer_str(self):
user = sample_user()
payload = {'title': 'Summer Season', 'percentage': 20.5, 'desc': 'Summer season sale of 2022', 'expiry_date': timezone.make_aware(datetime(2022, 6, 30, 23, 59, 59))}
offer = models.Offer.objects.create(user=user, **payload)
self.assertEqual(payload['ti... |
d712530189502c58e3ec2a6ca16fef0082b3f92b71ae219636e195a3e4bb14ff | def test_creating_order(self):
'Test string representation of Order'
user = sample_user()
address = sample_address(user)
payment_mode = models.PaymentMode.objects.create(user=user, **{'title': 'UPI', 'desc': 'UPI payment', 'charges': 2.2, 'enabled': True})
payload = {'shipping_address': address, 'bi... | Test string representation of Order | core/tests/test_models.py | test_creating_order | abhishekmorya/organic-shop-rest-api | 0 | python | def test_creating_order(self):
user = sample_user()
address = sample_address(user)
payment_mode = models.PaymentMode.objects.create(user=user, **{'title': 'UPI', 'desc': 'UPI payment', 'charges': 2.2, 'enabled': True})
payload = {'shipping_address': address, 'billing_address': address, 'payment_mod... | def test_creating_order(self):
user = sample_user()
address = sample_address(user)
payment_mode = models.PaymentMode.objects.create(user=user, **{'title': 'UPI', 'desc': 'UPI payment', 'charges': 2.2, 'enabled': True})
payload = {'shipping_address': address, 'billing_address': address, 'payment_mod... |
eba14f5ded88d5c6a0aa9874b4a92b0f863e04ccc18279a4825b32fa9f46539a | def test_creating_price_detail(self):
'Test creating price details'
user = sample_user()
address = sample_address(user)
payment_mode = models.PaymentMode.objects.create(user=user, **{'title': 'UPI', 'desc': 'UPI payment', 'charges': 2.2, 'enabled': True})
order_payload = {'shipping_address': address... | Test creating price details | core/tests/test_models.py | test_creating_price_detail | abhishekmorya/organic-shop-rest-api | 0 | python | def test_creating_price_detail(self):
user = sample_user()
address = sample_address(user)
payment_mode = models.PaymentMode.objects.create(user=user, **{'title': 'UPI', 'desc': 'UPI payment', 'charges': 2.2, 'enabled': True})
order_payload = {'shipping_address': address, 'billing_address': address,... | def test_creating_price_detail(self):
user = sample_user()
address = sample_address(user)
payment_mode = models.PaymentMode.objects.create(user=user, **{'title': 'UPI', 'desc': 'UPI payment', 'charges': 2.2, 'enabled': True})
order_payload = {'shipping_address': address, 'billing_address': address,... |
999c53910143c0a94a6fb64f928c03c28baaa5adf8061822105625de5133c1b1 | def get_template():
"\n Obtain the 'template' plist which also contains things like\n default rules about which files should count\n "
current_dir = os.path.dirname(os.path.abspath(__file__))
template_path = os.path.join(current_dir, TEMPLATE_FILENAME)
fh = open(template_path, 'r')
return p... | Obtain the 'template' plist which also contains things like
default rules about which files should count | isign/code_resources.py | get_template | lhcn/isign | 204 | python | def get_template():
"\n Obtain the 'template' plist which also contains things like\n default rules about which files should count\n "
current_dir = os.path.dirname(os.path.abspath(__file__))
template_path = os.path.join(current_dir, TEMPLATE_FILENAME)
fh = open(template_path, 'r')
return p... | def get_template():
"\n Obtain the 'template' plist which also contains things like\n default rules about which files should count\n "
current_dir = os.path.dirname(os.path.abspath(__file__))
template_path = os.path.join(current_dir, TEMPLATE_FILENAME)
fh = open(template_path, 'r')
return p... |
b816a492c7636c755fca84428e3aa0d0f7cc9efd06e2593a0ae2f90d6e3bf127 | @memoize
def get_hash_hex(path, hash_type='sha1'):
' Get the hash of a file at path, encoded as hexadecimal '
if (hash_type == 'sha256'):
hasher = hashlib.sha256()
elif (hash_type == 'sha1'):
hasher = hashlib.sha1()
else:
raise ValueError('Incorrect hash type provided: {}'.format... | Get the hash of a file at path, encoded as hexadecimal | isign/code_resources.py | get_hash_hex | lhcn/isign | 204 | python | @memoize
def get_hash_hex(path, hash_type='sha1'):
' '
if (hash_type == 'sha256'):
hasher = hashlib.sha256()
elif (hash_type == 'sha1'):
hasher = hashlib.sha1()
else:
raise ValueError('Incorrect hash type provided: {}'.format(hash_type))
with open(path, 'rb') as afile:
... | @memoize
def get_hash_hex(path, hash_type='sha1'):
' '
if (hash_type == 'sha256'):
hasher = hashlib.sha256()
elif (hash_type == 'sha1'):
hasher = hashlib.sha1()
else:
raise ValueError('Incorrect hash type provided: {}'.format(hash_type))
with open(path, 'rb') as afile:
... |
e0dedeaa4e44189c2be18fcfd34e6586a36cab6b5ad3f2040c8630e2b5bd8475 | @memoize
def get_hash_binary(path, hash_type='sha1'):
' Get the hash of a file at path, encoded as binary '
return binascii.a2b_hex(get_hash_hex(path, hash_type)) | Get the hash of a file at path, encoded as binary | isign/code_resources.py | get_hash_binary | lhcn/isign | 204 | python | @memoize
def get_hash_binary(path, hash_type='sha1'):
' '
return binascii.a2b_hex(get_hash_hex(path, hash_type)) | @memoize
def get_hash_binary(path, hash_type='sha1'):
' '
return binascii.a2b_hex(get_hash_hex(path, hash_type))<|docstring|>Get the hash of a file at path, encoded as binary<|endoftext|> |
bb516347cbe5b319c5a8313a363c45f7c2fb741e42e8e7a50b9a4e41815e3263 | def write_plist(target_dir, plist):
' Write the CodeResources file '
output_dir = os.path.join(target_dir, OUTPUT_DIRECTORY)
if (not os.path.exists(output_dir)):
os.makedirs(output_dir)
output_path = os.path.join(output_dir, OUTPUT_FILENAME)
fh = open(output_path, 'w')
plistlib.writePlis... | Write the CodeResources file | isign/code_resources.py | write_plist | lhcn/isign | 204 | python | def write_plist(target_dir, plist):
' '
output_dir = os.path.join(target_dir, OUTPUT_DIRECTORY)
if (not os.path.exists(output_dir)):
os.makedirs(output_dir)
output_path = os.path.join(output_dir, OUTPUT_FILENAME)
fh = open(output_path, 'w')
plistlib.writePlist(plist, fh)
return outp... | def write_plist(target_dir, plist):
' '
output_dir = os.path.join(target_dir, OUTPUT_DIRECTORY)
if (not os.path.exists(output_dir)):
os.makedirs(output_dir)
output_path = os.path.join(output_dir, OUTPUT_FILENAME)
fh = open(output_path, 'w')
plistlib.writePlist(plist, fh)
return outp... |
42b745bd774d1a622a5084503b5cba664dc088ae764e341229a516c93cf0bd4f | def make_seal(source_app_path, target_dir=None):
'\n Given a source app, create a CodeResources file for the\n surrounding directory, and write it into the appropriate path in a target\n directory\n '
if (target_dir is None):
target_dir = os.path.dirname(source_app_path)
template = get_t... | Given a source app, create a CodeResources file for the
surrounding directory, and write it into the appropriate path in a target
directory | isign/code_resources.py | make_seal | lhcn/isign | 204 | python | def make_seal(source_app_path, target_dir=None):
'\n Given a source app, create a CodeResources file for the\n surrounding directory, and write it into the appropriate path in a target\n directory\n '
if (target_dir is None):
target_dir = os.path.dirname(source_app_path)
template = get_t... | def make_seal(source_app_path, target_dir=None):
'\n Given a source app, create a CodeResources file for the\n surrounding directory, and write it into the appropriate path in a target\n directory\n '
if (target_dir is None):
target_dir = os.path.dirname(source_app_path)
template = get_t... |
ec1e199891792ca36020d61be8d50f9a1e04819366d41e7a1ae0520397f813b7 | def scan(self):
'\n Walk entire directory, compile mapping\n path relative to source_dir -> digest and other data\n '
file_entries = {}
for (root, dirs, filenames) in os.walk(self.app_dir):
for filename in filenames:
(rule, path, relative_path) = self.get_rule_and_pa... | Walk entire directory, compile mapping
path relative to source_dir -> digest and other data | isign/code_resources.py | scan | lhcn/isign | 204 | python | def scan(self):
'\n Walk entire directory, compile mapping\n path relative to source_dir -> digest and other data\n '
file_entries = {}
for (root, dirs, filenames) in os.walk(self.app_dir):
for filename in filenames:
(rule, path, relative_path) = self.get_rule_and_pa... | def scan(self):
'\n Walk entire directory, compile mapping\n path relative to source_dir -> digest and other data\n '
file_entries = {}
for (root, dirs, filenames) in os.walk(self.app_dir):
for filename in filenames:
(rule, path, relative_path) = self.get_rule_and_pa... |
4142d92502ae6b6138b4390cb74d1215cb9f85fb09e5594a6578df0a4a9c6a0b | def _acquire_changed(self, value=None, old_value=None, **kwargs):
"This is called when the 'acquire' signal changes."
if (self._status is None):
return
if ((old_value == 1) and (value == 0)):
self._status._finished() | This is called when the 'acquire' signal changes. | hxntools/detectors/hxn_xspress3.py | _acquire_changed | NSLS-II-HXN/hxntools | 0 | python | def _acquire_changed(self, value=None, old_value=None, **kwargs):
if (self._status is None):
return
if ((old_value == 1) and (value == 0)):
self._status._finished() | def _acquire_changed(self, value=None, old_value=None, **kwargs):
if (self._status is None):
return
if ((old_value == 1) and (value == 0)):
self._status._finished()<|docstring|>This is called when the 'acquire' signal changes.<|endoftext|> |
30ab2977529e301ccb43734c6b36047d8dd4f30d962b15c8e6f4d988837f802b | def fly_collect_rois(self, rois=None, *, ignore_get_failures=True):
'Read ROI data from the PVs\n\n Parameters\n ----------\n rois : sequence of Xspress3ROI instances, optional\n If unspecified, uses all currently enabled ROIs\n ignore_get_failures : bool, optional\n ... | Read ROI data from the PVs
Parameters
----------
rois : sequence of Xspress3ROI instances, optional
If unspecified, uses all currently enabled ROIs
ignore_get_failures : bool, optional
Ignore pyepics-related failures - will | hxntools/detectors/hxn_xspress3.py | fly_collect_rois | NSLS-II-HXN/hxntools | 0 | python | def fly_collect_rois(self, rois=None, *, ignore_get_failures=True):
'Read ROI data from the PVs\n\n Parameters\n ----------\n rois : sequence of Xspress3ROI instances, optional\n If unspecified, uses all currently enabled ROIs\n ignore_get_failures : bool, optional\n ... | def fly_collect_rois(self, rois=None, *, ignore_get_failures=True):
'Read ROI data from the PVs\n\n Parameters\n ----------\n rois : sequence of Xspress3ROI instances, optional\n If unspecified, uses all currently enabled ROIs\n ignore_get_failures : bool, optional\n ... |
12377409bdb6dea307fd6ad72153af212ac0b88baf89af9a86f65a6bf78bd79c | def _update_shape_widgets(self):
'update controls that depend on the list of available shapes'
model = self.gui.get_object('ToolShapeList')
model.clear()
shapes = list(self.core.get('get_parameter_sets')('tool').values())
shapes.sort(key=(lambda item: item['weight']))
for shape in shapes:
... | update controls that depend on the list of available shapes | pycam/pycam/Plugins/Tools.py | _update_shape_widgets | pschou/py-sdf | 0 | python | def _update_shape_widgets(self):
model = self.gui.get_object('ToolShapeList')
model.clear()
shapes = list(self.core.get('get_parameter_sets')('tool').values())
shapes.sort(key=(lambda item: item['weight']))
for shape in shapes:
model.append((shape['label'], shape['name']))
shape_nam... | def _update_shape_widgets(self):
model = self.gui.get_object('ToolShapeList')
model.clear()
shapes = list(self.core.get('get_parameter_sets')('tool').values())
shapes.sort(key=(lambda item: item['weight']))
for shape in shapes:
model.append((shape['label'], shape['name']))
shape_nam... |
7eaef9fb5e16e07ffc6dce98a32066b83f7cac4de24cd8594c40708e5e2e5601 | def _update_tool_widgets(self, widget=None):
'transfer the content of the currently selected tool to the related widgets'
tool = self.get_selected()
control_box = self.gui.get_object('ToolSettingsControlsBox')
if (tool is None):
control_box.hide()
else:
with self.core.blocked_events(... | transfer the content of the currently selected tool to the related widgets | pycam/pycam/Plugins/Tools.py | _update_tool_widgets | pschou/py-sdf | 0 | python | def _update_tool_widgets(self, widget=None):
tool = self.get_selected()
control_box = self.gui.get_object('ToolSettingsControlsBox')
if (tool is None):
control_box.hide()
else:
with self.core.blocked_events({'tool-control-changed'}):
shape_name = tool.get_value('shape').... | def _update_tool_widgets(self, widget=None):
tool = self.get_selected()
control_box = self.gui.get_object('ToolSettingsControlsBox')
if (tool is None):
control_box.hide()
else:
with self.core.blocked_events({'tool-control-changed'}):
shape_name = tool.get_value('shape').... |
4d7292700b49383c3818acb110c9dd3ef2ab84a1658fd613049da79e859f643a | def _transfer_controls_to_tool(self):
'the value of a tool-related control was changed by by the user\n\n The changed value needs to be transferred to the currently selected tool.\n '
tool = self.get_selected()
shape = self._get_selected_shape()
if (tool and shape):
tool.set_value(... | the value of a tool-related control was changed by by the user
The changed value needs to be transferred to the currently selected tool. | pycam/pycam/Plugins/Tools.py | _transfer_controls_to_tool | pschou/py-sdf | 0 | python | def _transfer_controls_to_tool(self):
'the value of a tool-related control was changed by by the user\n\n The changed value needs to be transferred to the currently selected tool.\n '
tool = self.get_selected()
shape = self._get_selected_shape()
if (tool and shape):
tool.set_value(... | def _transfer_controls_to_tool(self):
'the value of a tool-related control was changed by by the user\n\n The changed value needs to be transferred to the currently selected tool.\n '
tool = self.get_selected()
shape = self._get_selected_shape()
if (tool and shape):
tool.set_value(... |
37e8fa4bfc641a0c2854ef9db4fe0c7d00638b1bc6a6a4a6c3c8668cf1904506 | def getGeneralInfo(self):
'\n Return a dictionary containing all general info items. Format is <info_item>:<value>, where the type\n of the value is preserved. For CSV format, this will result in conversion to string and quotes where necessary, for\n JSON, the values will be interpreted and stored as JSON ... | Return a dictionary containing all general info items. Format is <info_item>:<value>, where the type
of the value is preserved. For CSV format, this will result in conversion to string and quotes where necessary, for
JSON, the values will be interpreted and stored as JSON strings. | radiomics/generalinfo.py | getGeneralInfo | Meddebma/pyradiomics | 536 | python | def getGeneralInfo(self):
'\n Return a dictionary containing all general info items. Format is <info_item>:<value>, where the type\n of the value is preserved. For CSV format, this will result in conversion to string and quotes where necessary, for\n JSON, the values will be interpreted and stored as JSON ... | def getGeneralInfo(self):
'\n Return a dictionary containing all general info items. Format is <info_item>:<value>, where the type\n of the value is preserved. For CSV format, this will result in conversion to string and quotes where necessary, for\n JSON, the values will be interpreted and stored as JSON ... |
f4ffdc040aa60fac5747244d0a10d59166a67846796d3f433978e2af8d093142 | def addStaticElements(self):
'\n Adds the following elements to the general info:\n\n - Version: current version of PyRadiomics\n - NumpyVersion: version of numpy used\n - SimpleITKVersion: version SimpleITK used\n - PyWaveletVersion: version of PyWavelet used\n - PythonVersion: version of the pyt... | Adds the following elements to the general info:
- Version: current version of PyRadiomics
- NumpyVersion: version of numpy used
- SimpleITKVersion: version SimpleITK used
- PyWaveletVersion: version of PyWavelet used
- PythonVersion: version of the python interpreter running PyRadiomics | radiomics/generalinfo.py | addStaticElements | Meddebma/pyradiomics | 536 | python | def addStaticElements(self):
'\n Adds the following elements to the general info:\n\n - Version: current version of PyRadiomics\n - NumpyVersion: version of numpy used\n - SimpleITKVersion: version SimpleITK used\n - PyWaveletVersion: version of PyWavelet used\n - PythonVersion: version of the pyt... | def addStaticElements(self):
'\n Adds the following elements to the general info:\n\n - Version: current version of PyRadiomics\n - NumpyVersion: version of numpy used\n - SimpleITKVersion: version SimpleITK used\n - PyWaveletVersion: version of PyWavelet used\n - PythonVersion: version of the pyt... |
1b5a7f9cd43f346b779fff23f243918cee76577f443bb7cf1c5d166defea23ea | def addImageElements(self, image, prefix='original'):
'\n Calculates provenance info for the image\n\n Adds the following:\n\n - Hash: sha1 hash of the mask, which can be used to check if the same mask was used during reproducibility\n tests. (Only added when prefix is "original")\n - Dimensionalit... | Calculates provenance info for the image
Adds the following:
- Hash: sha1 hash of the mask, which can be used to check if the same mask was used during reproducibility
tests. (Only added when prefix is "original")
- Dimensionality: Number of dimensions (e.g. 2D, 3D) in the image. (Only added when prefix is "origina... | radiomics/generalinfo.py | addImageElements | Meddebma/pyradiomics | 536 | python | def addImageElements(self, image, prefix='original'):
'\n Calculates provenance info for the image\n\n Adds the following:\n\n - Hash: sha1 hash of the mask, which can be used to check if the same mask was used during reproducibility\n tests. (Only added when prefix is "original")\n - Dimensionalit... | def addImageElements(self, image, prefix='original'):
'\n Calculates provenance info for the image\n\n Adds the following:\n\n - Hash: sha1 hash of the mask, which can be used to check if the same mask was used during reproducibility\n tests. (Only added when prefix is "original")\n - Dimensionalit... |
9c8f2ab11d2c63b7c60ccabc2d3e7d2167dae014ba3617dc281e08cf34031140 | def addMaskElements(self, image, mask, label, prefix='original'):
'\n Calculates provenance info for the mask\n\n Adds the following:\n\n - MaskHash: sha1 hash of the mask, which can be used to check if the same mask was used during reproducibility\n tests. (Only added when prefix is "original")\n ... | Calculates provenance info for the mask
Adds the following:
- MaskHash: sha1 hash of the mask, which can be used to check if the same mask was used during reproducibility
tests. (Only added when prefix is "original")
- BoundingBox: bounding box of the ROI defined by the specified label:
Elements 0, 1 and 2 are th... | radiomics/generalinfo.py | addMaskElements | Meddebma/pyradiomics | 536 | python | def addMaskElements(self, image, mask, label, prefix='original'):
'\n Calculates provenance info for the mask\n\n Adds the following:\n\n - MaskHash: sha1 hash of the mask, which can be used to check if the same mask was used during reproducibility\n tests. (Only added when prefix is "original")\n ... | def addMaskElements(self, image, mask, label, prefix='original'):
'\n Calculates provenance info for the mask\n\n Adds the following:\n\n - MaskHash: sha1 hash of the mask, which can be used to check if the same mask was used during reproducibility\n tests. (Only added when prefix is "original")\n ... |
9fbdbb1bc92c210ab7502e7634f3aefe56b62d566b8ae94b30cee92f249178ae | def addGeneralSettings(self, settings):
'\n Add a string representation of the general settings.\n Format is {<settings_name>:<value>, ...}.\n '
self.generalInfo[(self.generalInfo_prefix + 'Configuration_Settings')] = settings | Add a string representation of the general settings.
Format is {<settings_name>:<value>, ...}. | radiomics/generalinfo.py | addGeneralSettings | Meddebma/pyradiomics | 536 | python | def addGeneralSettings(self, settings):
'\n Add a string representation of the general settings.\n Format is {<settings_name>:<value>, ...}.\n '
self.generalInfo[(self.generalInfo_prefix + 'Configuration_Settings')] = settings | def addGeneralSettings(self, settings):
'\n Add a string representation of the general settings.\n Format is {<settings_name>:<value>, ...}.\n '
self.generalInfo[(self.generalInfo_prefix + 'Configuration_Settings')] = settings<|docstring|>Add a string representation of the general settings.
Format is {... |
20d29ae9a1b57aa9890a87711525eac5e073b9ee45e3d7340809f47373e54a62 | def addEnabledImageTypes(self, enabledImageTypes):
'\n Add a string representation of the enabled image types and any custom settings for each image type.\n Format is {<imageType_name>:{<setting_name>:<value>, ...}, ...}.\n '
self.generalInfo[(self.generalInfo_prefix + 'Configuration_EnabledImageTypes'... | Add a string representation of the enabled image types and any custom settings for each image type.
Format is {<imageType_name>:{<setting_name>:<value>, ...}, ...}. | radiomics/generalinfo.py | addEnabledImageTypes | Meddebma/pyradiomics | 536 | python | def addEnabledImageTypes(self, enabledImageTypes):
'\n Add a string representation of the enabled image types and any custom settings for each image type.\n Format is {<imageType_name>:{<setting_name>:<value>, ...}, ...}.\n '
self.generalInfo[(self.generalInfo_prefix + 'Configuration_EnabledImageTypes'... | def addEnabledImageTypes(self, enabledImageTypes):
'\n Add a string representation of the enabled image types and any custom settings for each image type.\n Format is {<imageType_name>:{<setting_name>:<value>, ...}, ...}.\n '
self.generalInfo[(self.generalInfo_prefix + 'Configuration_EnabledImageTypes'... |
8bd7ccbfd765723132e9e70babe27e075362b1a9a889751b056dca01b51d73b3 | def __call__(self, inputs: Image.Image) -> List[Dict[(str, Any)]]:
'\n Args:\n inputs (:obj:`PIL.Image`):\n The raw image representation as PIL.\n No transformation made whatsoever from the input. Make all necessary transformations here.\n Return:\n ... | Args:
inputs (:obj:`PIL.Image`):
The raw image representation as PIL.
No transformation made whatsoever from the input. Make all necessary transformations here.
Return:
A :obj:`list`:. The list contains items that are dicts should be liked {"label": "XXX", "score": 0.82}
It is preferred ... | api-inference-community/docker_images/timm/app/pipelines/image_classification.py | __call__ | abidlabs/huggingface_hub | 0 | python | def __call__(self, inputs: Image.Image) -> List[Dict[(str, Any)]]:
'\n Args:\n inputs (:obj:`PIL.Image`):\n The raw image representation as PIL.\n No transformation made whatsoever from the input. Make all necessary transformations here.\n Return:\n ... | def __call__(self, inputs: Image.Image) -> List[Dict[(str, Any)]]:
'\n Args:\n inputs (:obj:`PIL.Image`):\n The raw image representation as PIL.\n No transformation made whatsoever from the input. Make all necessary transformations here.\n Return:\n ... |
a5cd479c27bee0f75c81cb152593c5d45b7856fe33d25918cff1ba6d4922f21e | @j.baseclasses.actor_method
def file_get(self, doctype, guid1, guid2, schema_out=None, user_session=None):
'\n ```in\n doctype = "" (S)\n guid1 = (S)\n guid2 = "" (S)\n ```\n ```out\n res = "" (S)\n error_message = "" (S)\n error_code = 0 (I)\n `... | ```in
doctype = "" (S)
guid1 = (S)
guid2 = "" (S)
```
```out
res = "" (S)
error_message = "" (S)
error_code = 0 (I)
```
:param collection:
:param bucket:
:param text:
:return: | ThreeBotPackages/zerobot/webinterface/actors/wiki_gdrive_manager.py | file_get | grimpy/jumpscaleX_threebot | 0 | python | @j.baseclasses.actor_method
def file_get(self, doctype, guid1, guid2, schema_out=None, user_session=None):
'\n ```in\n doctype = (S)\n guid1 = (S)\n guid2 = (S)\n ```\n ```out\n res = (S)\n error_message = (S)\n error_code = 0 (I)\n ```\n ... | @j.baseclasses.actor_method
def file_get(self, doctype, guid1, guid2, schema_out=None, user_session=None):
'\n ```in\n doctype = (S)\n guid1 = (S)\n guid2 = (S)\n ```\n ```out\n res = (S)\n error_message = (S)\n error_code = 0 (I)\n ```\n ... |
89d57b42afc4e38a9c8f34f24db40f2f556b093c6beb351041faa6045196432e | def fetch(dataset='mi', datadir=datadir):
'Fetch example dataset.\n\n If the requested dataset is not found in the location specified by\n `datadir`, the function attempts to download it.\n\n Parameters\n ----------\n dataset : str\n Which dataset to load. Currently only \'mi\' is supported.\n... | Fetch example dataset.
If the requested dataset is not found in the location specified by
`datadir`, the function attempts to download it.
Parameters
----------
dataset : str
Which dataset to load. Currently only 'mi' is supported.
datadir : str
Path to the storage location of example datasets. Datasets are
... | scot/datasets.py | fetch | cle1109/scot | 41 | python | def fetch(dataset='mi', datadir=datadir):
'Fetch example dataset.\n\n If the requested dataset is not found in the location specified by\n `datadir`, the function attempts to download it.\n\n Parameters\n ----------\n dataset : str\n Which dataset to load. Currently only \'mi\' is supported.\n... | def fetch(dataset='mi', datadir=datadir):
'Fetch example dataset.\n\n If the requested dataset is not found in the location specified by\n `datadir`, the function attempts to download it.\n\n Parameters\n ----------\n dataset : str\n Which dataset to load. Currently only \'mi\' is supported.\n... |
7a459e569e6632b5ca9098db56934be30697372950fd358dd259366784b369cd | def invert_timer():
'\n Invert the timer as an hourglass would, according to the timeout.\n '
now = time()
return ((now - (((gs.timeout * 60) + gs.start_time) - now)) - 1) | Invert the timer as an hourglass would, according to the timeout. | src/timer.py | invert_timer | CypElf/Magic-maze | 1 | python | def invert_timer():
'\n \n '
now = time()
return ((now - (((gs.timeout * 60) + gs.start_time) - now)) - 1) | def invert_timer():
'\n \n '
now = time()
return ((now - (((gs.timeout * 60) + gs.start_time) - now)) - 1)<|docstring|>Invert the timer as an hourglass would, according to the timeout.<|endoftext|> |
c934a827125a9df2428f05e9f7aca48c6ad5433e8fed33bc277ae956d08c58ca | def get_timer():
'\n Return True if the time has elapsed, and False otherwise.\n '
return (((gs.timeout * 60) + gs.start_time) - time()) | Return True if the time has elapsed, and False otherwise. | src/timer.py | get_timer | CypElf/Magic-maze | 1 | python | def get_timer():
'\n \n '
return (((gs.timeout * 60) + gs.start_time) - time()) | def get_timer():
'\n \n '
return (((gs.timeout * 60) + gs.start_time) - time())<|docstring|>Return True if the time has elapsed, and False otherwise.<|endoftext|> |
291e3e89e5210b7201d72b74a7bcd3d339c26cf1b1f6d671c7d61c3afb77b50c | def adjust_timer(previous_start_time, save_time, offset=0):
'\n Restore the start_time to a previous state, to restore the time elapsed since this previous time. You can add bonus seconds to the restored timer with the offset parameter. Defaults to 0.\n '
gs.start_time = ((previous_start_time + (time() - ... | Restore the start_time to a previous state, to restore the time elapsed since this previous time. You can add bonus seconds to the restored timer with the offset parameter. Defaults to 0. | src/timer.py | adjust_timer | CypElf/Magic-maze | 1 | python | def adjust_timer(previous_start_time, save_time, offset=0):
'\n \n '
gs.start_time = ((previous_start_time + (time() - save_time)) + offset) | def adjust_timer(previous_start_time, save_time, offset=0):
'\n \n '
gs.start_time = ((previous_start_time + (time() - save_time)) + offset)<|docstring|>Restore the start_time to a previous state, to restore the time elapsed since this previous time. You can add bonus seconds to the restored timer with th... |
4850bc5571fb49cbcf4307a54280139999d5e818b45e88e21f74601310f19af7 | def unet(IMAGE_HEIGHT, IMAGE_WIDTH, n_levels=4, initial_features=64, n_conv=2, kernel_size=3, pooling_size=2, in_channels=1, out_channels=1, activation='sigmoid'):
"\n U-Net is a convolutional neural network that was developed for biomedical image segmentation.The network consists of a contracting path and an ex... | U-Net is a convolutional neural network that was developed for biomedical image segmentation.The network consists of a contracting path and an expansive path, which gives it the u-shaped architecture. The contracting path is a typical convolutional network that consists of repeated application of convolutions, each fol... | MRIsegm/models.py | unet | giuseppefilitto/img-segm | 3 | python | def unet(IMAGE_HEIGHT, IMAGE_WIDTH, n_levels=4, initial_features=64, n_conv=2, kernel_size=3, pooling_size=2, in_channels=1, out_channels=1, activation='sigmoid'):
"\n U-Net is a convolutional neural network that was developed for biomedical image segmentation.The network consists of a contracting path and an ex... | def unet(IMAGE_HEIGHT, IMAGE_WIDTH, n_levels=4, initial_features=64, n_conv=2, kernel_size=3, pooling_size=2, in_channels=1, out_channels=1, activation='sigmoid'):
"\n U-Net is a convolutional neural network that was developed for biomedical image segmentation.The network consists of a contracting path and an ex... |
d0f2cf81507b65cfec0c22badd20e8ece2005b5c8a15401296ad0289ee7e3ff9 | def test_create_from_data(self):
'Testing DiffCommitManager.create_from_data'
repository = self.create_repository(tool_name='Test')
self.spy_on(repository.get_file_exists, op=kgb.SpyOpReturn(True))
diffset = DiffSet.objects.create_empty(repository=repository, basedir='', revision=1)
raw_date = '2000... | Testing DiffCommitManager.create_from_data | reviewboard/diffviewer/tests/test_diffcommit_manager.py | test_create_from_data | prateeja/reviewboard | 921 | python | def test_create_from_data(self):
repository = self.create_repository(tool_name='Test')
self.spy_on(repository.get_file_exists, op=kgb.SpyOpReturn(True))
diffset = DiffSet.objects.create_empty(repository=repository, basedir=, revision=1)
raw_date = '2000-01-01 00:00:00-0600'
parsed_date = parse_... | def test_create_from_data(self):
repository = self.create_repository(tool_name='Test')
self.spy_on(repository.get_file_exists, op=kgb.SpyOpReturn(True))
diffset = DiffSet.objects.create_empty(repository=repository, basedir=, revision=1)
raw_date = '2000-01-01 00:00:00-0600'
parsed_date = parse_... |
14cf96e6f5a96df208a40e92ce541b3b611df51d427401bd75e523f8ad1e9c0e | def test_create_from_data_with_author_date_none(self):
'Testing DiffCommitManager.create_from_data with author_date=None'
repository = self.create_repository(tool_name='Test')
self.spy_on(repository.get_file_exists, op=kgb.SpyOpReturn(True))
diffset = DiffSet.objects.create_empty(repository=repository, ... | Testing DiffCommitManager.create_from_data with author_date=None | reviewboard/diffviewer/tests/test_diffcommit_manager.py | test_create_from_data_with_author_date_none | prateeja/reviewboard | 921 | python | def test_create_from_data_with_author_date_none(self):
repository = self.create_repository(tool_name='Test')
self.spy_on(repository.get_file_exists, op=kgb.SpyOpReturn(True))
diffset = DiffSet.objects.create_empty(repository=repository, basedir=, revision=1)
with self.assertRaises(IntegrityError):
... | def test_create_from_data_with_author_date_none(self):
repository = self.create_repository(tool_name='Test')
self.spy_on(repository.get_file_exists, op=kgb.SpyOpReturn(True))
diffset = DiffSet.objects.create_empty(repository=repository, basedir=, revision=1)
with self.assertRaises(IntegrityError):
... |
78eb7658a80dfade693948577a2662c33ab7a67f8440543c159d768ced56f95f | def test_create_from_data_with_committer_date_none(self):
'Testing DiffCommitManager.create_from_data with committer_date=None\n '
repository = self.create_repository(tool_name='Test')
self.spy_on(repository.get_file_exists, op=kgb.SpyOpReturn(True))
diffset = DiffSet.objects.create_empty(reposit... | Testing DiffCommitManager.create_from_data with committer_date=None | reviewboard/diffviewer/tests/test_diffcommit_manager.py | test_create_from_data_with_committer_date_none | prateeja/reviewboard | 921 | python | def test_create_from_data_with_committer_date_none(self):
'\n '
repository = self.create_repository(tool_name='Test')
self.spy_on(repository.get_file_exists, op=kgb.SpyOpReturn(True))
diffset = DiffSet.objects.create_empty(repository=repository, basedir=, revision=1)
commit = DiffCommit.objec... | def test_create_from_data_with_committer_date_none(self):
'\n '
repository = self.create_repository(tool_name='Test')
self.spy_on(repository.get_file_exists, op=kgb.SpyOpReturn(True))
diffset = DiffSet.objects.create_empty(repository=repository, basedir=, revision=1)
commit = DiffCommit.objec... |
a0185b0ea499ea1eb287201e094f032c6c0ab85d4d1bd8b6d22f48a9a97b9714 | def test_create_from_data_custom_parser_extra_data(self):
'Testing DiffSetManager.create_from_data with a custom diff parser\n that sets extra_data\n '
repository = self.create_repository(tool_name='Test')
class CustomParser(DiffParser):
def parse(self):
result = super(Cu... | Testing DiffSetManager.create_from_data with a custom diff parser
that sets extra_data | reviewboard/diffviewer/tests/test_diffcommit_manager.py | test_create_from_data_custom_parser_extra_data | prateeja/reviewboard | 921 | python | def test_create_from_data_custom_parser_extra_data(self):
'Testing DiffSetManager.create_from_data with a custom diff parser\n that sets extra_data\n '
repository = self.create_repository(tool_name='Test')
class CustomParser(DiffParser):
def parse(self):
result = super(Cu... | def test_create_from_data_custom_parser_extra_data(self):
'Testing DiffSetManager.create_from_data with a custom diff parser\n that sets extra_data\n '
repository = self.create_repository(tool_name='Test')
class CustomParser(DiffParser):
def parse(self):
result = super(Cu... |
e2c70c958b23ed1c2bc3d1c484e263e670e1660952f997709b09b01d52cce4a0 | def get_visits(pattern):
"\n A utility function to group existing files into a set of visits. \n\n Attributes\n ----------\n pattern: a string to match to files, e.g. '*_flt.fits', '*_ima.fits', or '*_raw.fits'\n\n\n Output\n ------\n A dictionary with filter names as labels and visit n... | A utility function to group existing files into a set of visits.
Attributes
----------
pattern: a string to match to files, e.g. '*_flt.fits', '*_ima.fits', or '*_raw.fits'
Output
------
A dictionary with filter names as labels and visit names (6 letters) as sub-labels. | WFC3_Back_Sub/back_sub.py | get_visits | npirzkal/WFC3_Back_sub | 0 | python | def get_visits(pattern):
"\n A utility function to group existing files into a set of visits. \n\n Attributes\n ----------\n pattern: a string to match to files, e.g. '*_flt.fits', '*_ima.fits', or '*_raw.fits'\n\n\n Output\n ------\n A dictionary with filter names as labels and visit n... | def get_visits(pattern):
"\n A utility function to group existing files into a set of visits. \n\n Attributes\n ----------\n pattern: a string to match to files, e.g. '*_flt.fits', '*_ima.fits', or '*_raw.fits'\n\n\n Output\n ------\n A dictionary with filter names as labels and visit n... |
899af7dad8d88e60171f391f949e29f2fa0f3d15bb5cbd6bf1c012f1c2541292 | def get_data(obs_id):
"\n A helper function to download a raw dataset from MAST using a direct URL\n\n Attributes\n ----------\n obs_id: string containing a 9 letter dataset name, e.g. 'idn604snq'\n\n Output\n ------\n string containing the name of the raw file that was downloaded\n "
ur... | A helper function to download a raw dataset from MAST using a direct URL
Attributes
----------
obs_id: string containing a 9 letter dataset name, e.g. 'idn604snq'
Output
------
string containing the name of the raw file that was downloaded | WFC3_Back_Sub/back_sub.py | get_data | npirzkal/WFC3_Back_sub | 0 | python | def get_data(obs_id):
"\n A helper function to download a raw dataset from MAST using a direct URL\n\n Attributes\n ----------\n obs_id: string containing a 9 letter dataset name, e.g. 'idn604snq'\n\n Output\n ------\n string containing the name of the raw file that was downloaded\n "
ur... | def get_data(obs_id):
"\n A helper function to download a raw dataset from MAST using a direct URL\n\n Attributes\n ----------\n obs_id: string containing a 9 letter dataset name, e.g. 'idn604snq'\n\n Output\n ------\n string containing the name of the raw file that was downloaded\n "
ur... |
e6fdc19856ac4a4cf64a6886c16d63088b66818e5ef75cc1fec29805971291d8 | def process_obs_ids(self, backup=False):
'\n Function to perform all the required steps to remove the time varying HeI and Scattered light component as well as the Zodi\n component from a group of WFC3 IR G102 or G141 RAW files.\n This runs CALWF3 on each input RAW files, create a mask MSK file... | Function to perform all the required steps to remove the time varying HeI and Scattered light component as well as the Zodi
component from a group of WFC3 IR G102 or G141 RAW files.
This runs CALWF3 on each input RAW files, create a mask MSK file, estimates the HeI and Scattered light levels during the course
of each o... | WFC3_Back_Sub/back_sub.py | process_obs_ids | npirzkal/WFC3_Back_sub | 0 | python | def process_obs_ids(self, backup=False):
'\n Function to perform all the required steps to remove the time varying HeI and Scattered light component as well as the Zodi\n component from a group of WFC3 IR G102 or G141 RAW files.\n This runs CALWF3 on each input RAW files, create a mask MSK file... | def process_obs_ids(self, backup=False):
'\n Function to perform all the required steps to remove the time varying HeI and Scattered light component as well as the Zodi\n component from a group of WFC3 IR G102 or G141 RAW files.\n This runs CALWF3 on each input RAW files, create a mask MSK file... |
63fe0fe5386764940c573150b01ad1155dca15f5b8ee7eb4affce1c845e232d1 | def log_levels(self):
'Copy all the information from IMA into our final FLT file.\n Keywords added are: BSAMP (number of reads), HeI_#, Scat_#, HeI_#, TIME (ROUTIME), and DTIME (IMSET exposure)'
for flt_name in self.flt_names:
ima_name = (flt_name.split('_flt.fits')[0] + '_ima.fits')
prin... | Copy all the information from IMA into our final FLT file.
Keywords added are: BSAMP (number of reads), HeI_#, Scat_#, HeI_#, TIME (ROUTIME), and DTIME (IMSET exposure) | WFC3_Back_Sub/back_sub.py | log_levels | npirzkal/WFC3_Back_sub | 0 | python | def log_levels(self):
'Copy all the information from IMA into our final FLT file.\n Keywords added are: BSAMP (number of reads), HeI_#, Scat_#, HeI_#, TIME (ROUTIME), and DTIME (IMSET exposure)'
for flt_name in self.flt_names:
ima_name = (flt_name.split('_flt.fits')[0] + '_ima.fits')
prin... | def log_levels(self):
'Copy all the information from IMA into our final FLT file.\n Keywords added are: BSAMP (number of reads), HeI_#, Scat_#, HeI_#, TIME (ROUTIME), and DTIME (IMSET exposure)'
for flt_name in self.flt_names:
ima_name = (flt_name.split('_flt.fits')[0] + '_ima.fits')
prin... |
f71c4eca6f290551afec28ad80f00fdd8151ed62066421e4ca3153edb3b23ab9 | def raw_to_flt(self, raw_name):
'\n Function to run CALWF3 on a raw dataset. CRCORR is set to OMIT and FLATCORR is set to perform.\n If available, crds is ran to download and updat the RAW file header to point to the latest calibration files.\n The flat-field calibration file names are replaced... | Function to run CALWF3 on a raw dataset. CRCORR is set to OMIT and FLATCORR is set to perform.
If available, crds is ran to download and updat the RAW file header to point to the latest calibration files.
The flat-field calibration file names are replaced with the ones included in this package and pointed to by
G102_FF... | WFC3_Back_Sub/back_sub.py | raw_to_flt | npirzkal/WFC3_Back_sub | 0 | python | def raw_to_flt(self, raw_name):
'\n Function to run CALWF3 on a raw dataset. CRCORR is set to OMIT and FLATCORR is set to perform.\n If available, crds is ran to download and updat the RAW file header to point to the latest calibration files.\n The flat-field calibration file names are replaced... | def raw_to_flt(self, raw_name):
'\n Function to run CALWF3 on a raw dataset. CRCORR is set to OMIT and FLATCORR is set to perform.\n If available, crds is ran to download and updat the RAW file header to point to the latest calibration files.\n The flat-field calibration file names are replaced... |
384ed5d5a08f822485114e63501cbbc13e0b807576464015918a53c3a86a79a9 | def ima_to_flt(self, ima_name):
'\n Function to run CALWF3 on an exisiting IMA file. CRCORR is set to PERFORM.\n\n Attributes\n ----------\n ima_name string containing the name of the IMA file to process\n\n Output\n ------\n string containing the name of the FLT fil... | Function to run CALWF3 on an exisiting IMA file. CRCORR is set to PERFORM.
Attributes
----------
ima_name string containing the name of the IMA file to process
Output
------
string containing the name of the FLT file that has been created | WFC3_Back_Sub/back_sub.py | ima_to_flt | npirzkal/WFC3_Back_sub | 0 | python | def ima_to_flt(self, ima_name):
'\n Function to run CALWF3 on an exisiting IMA file. CRCORR is set to PERFORM.\n\n Attributes\n ----------\n ima_name string containing the name of the IMA file to process\n\n Output\n ------\n string containing the name of the FLT fil... | def ima_to_flt(self, ima_name):
'\n Function to run CALWF3 on an exisiting IMA file. CRCORR is set to PERFORM.\n\n Attributes\n ----------\n ima_name string containing the name of the IMA file to process\n\n Output\n ------\n string containing the name of the FLT fil... |
db226ff3cbc1aa9d315df609adfb42fe597ec7d8245959eab08dea6c9eee8063 | def create_msk(self, flt_name, kernel_fwhm=1.25, background_box=((1014 // 6), 2), thr=0.05, npixels=80):
' \n This function will create a FITS files ipppssoot_msk.fits \n\n Attributes\n ----------\n flt_name string containing the name of the FLT name to create a mask for\n ke... | This function will create a FITS files ipppssoot_msk.fits
Attributes
----------
flt_name string containing the name of the FLT name to create a mask for
kernel_fwhm Float The size of the detection kernel (default = 1.25 pixel)
background_box Int The saie fo the background box when estimating the background (default =... | WFC3_Back_Sub/back_sub.py | create_msk | npirzkal/WFC3_Back_sub | 0 | python | def create_msk(self, flt_name, kernel_fwhm=1.25, background_box=((1014 // 6), 2), thr=0.05, npixels=80):
' \n This function will create a FITS files ipppssoot_msk.fits \n\n Attributes\n ----------\n flt_name string containing the name of the FLT name to create a mask for\n ke... | def create_msk(self, flt_name, kernel_fwhm=1.25, background_box=((1014 // 6), 2), thr=0.05, npixels=80):
' \n This function will create a FITS files ipppssoot_msk.fits \n\n Attributes\n ----------\n flt_name string containing the name of the FLT name to create a mask for\n ke... |
59a2b6d4c380b37ce43c9ee9985547c0a3e14daf594f6095429aaa01ad36e622 | def get_mask(self, flt_name, kernel_fwhm=1.25, background_box=20, thr=0.05, npixels=100):
'\n Function to create a mask (set to 0 for no detection and 1 for detection) appropriate to mask WFC3 slitless data. \n Attributes\n ----------\n flt_name string containing the name of the FLT name... | Function to create a mask (set to 0 for no detection and 1 for detection) appropriate to mask WFC3 slitless data.
Attributes
----------
flt_name string containing the name of the FLT name to create a mask for
kernel_fwhm Float The size of the detection kernel (default = 1.25 pixel)
background_box Int The saie fo the b... | WFC3_Back_Sub/back_sub.py | get_mask | npirzkal/WFC3_Back_sub | 0 | python | def get_mask(self, flt_name, kernel_fwhm=1.25, background_box=20, thr=0.05, npixels=100):
'\n Function to create a mask (set to 0 for no detection and 1 for detection) appropriate to mask WFC3 slitless data. \n Attributes\n ----------\n flt_name string containing the name of the FLT name... | def get_mask(self, flt_name, kernel_fwhm=1.25, background_box=20, thr=0.05, npixels=100):
'\n Function to create a mask (set to 0 for no detection and 1 for detection) appropriate to mask WFC3 slitless data. \n Attributes\n ----------\n flt_name string containing the name of the FLT name... |
4e7d20a45d733069d738e7a044d90a6691548575bf0fe35c68931ac224656af8 | def Get_HeI_Zodi_Scatter_Levels(self):
'\n Function to estimate the Zodi, HeI, and Scatter levels in each IMSET of an IMA file.\n A set of IMA files can be processed at once and the Zodi level is assumed to be identical in all of them. The HeI and Scatter\n levels are allowed to vary freely. Se... | Function to estimate the Zodi, HeI, and Scatter levels in each IMSET of an IMA file.
A set of IMA files can be processed at once and the Zodi level is assumed to be identical in all of them. The HeI and Scatter
levels are allowed to vary freely. See code by R. Ryan in Appendix of ISR WFC3 2015-17 for details.
Atribute... | WFC3_Back_Sub/back_sub.py | Get_HeI_Zodi_Scatter_Levels | npirzkal/WFC3_Back_sub | 0 | python | def Get_HeI_Zodi_Scatter_Levels(self):
'\n Function to estimate the Zodi, HeI, and Scatter levels in each IMSET of an IMA file.\n A set of IMA files can be processed at once and the Zodi level is assumed to be identical in all of them. The HeI and Scatter\n levels are allowed to vary freely. Se... | def Get_HeI_Zodi_Scatter_Levels(self):
'\n Function to estimate the Zodi, HeI, and Scatter levels in each IMSET of an IMA file.\n A set of IMA files can be processed at once and the Zodi level is assumed to be identical in all of them. The HeI and Scatter\n levels are allowed to vary freely. Se... |
3ef90790a1dfef0e7c0e3e5c13c1aa175f6767a1af38acdf9d5f2466131b46e5 | def sub_HeI_Scat(self):
'\n Function to subtract the appropriately scaled HeI and Scatter light models from each of the IMSET of the IMA files \n included in the HeIs and Scats dictionaries. Header keywords are populated to reflect the amount of HeI and Scattered light\n subtracted. Function wi... | Function to subtract the appropriately scaled HeI and Scatter light models from each of the IMSET of the IMA files
included in the HeIs and Scats dictionaries. Header keywords are populated to reflect the amount of HeI and Scattered light
subtracted. Function will fail to run a second time on a dataset. | WFC3_Back_Sub/back_sub.py | sub_HeI_Scat | npirzkal/WFC3_Back_sub | 0 | python | def sub_HeI_Scat(self):
'\n Function to subtract the appropriately scaled HeI and Scatter light models from each of the IMSET of the IMA files \n included in the HeIs and Scats dictionaries. Header keywords are populated to reflect the amount of HeI and Scattered light\n subtracted. Function wi... | def sub_HeI_Scat(self):
'\n Function to subtract the appropriately scaled HeI and Scatter light models from each of the IMSET of the IMA files \n included in the HeIs and Scats dictionaries. Header keywords are populated to reflect the amount of HeI and Scattered light\n subtracted. Function wi... |
89e703e70e4df2d4ca19d3f6aa3a9d0429e662a0aabe09094dd6503c6deb1dfc | def sub_Zodi(self, flt_name):
'\n Function to re-compute and subtract the Zodi component from an FLT file. A match MSK file is assumed to exist.\n\n Attributes\n ----------\n flt_name String containing the name of the FLT file to process\n\n Output\n ------\n None\n\... | Function to re-compute and subtract the Zodi component from an FLT file. A match MSK file is assumed to exist.
Attributes
----------
flt_name String containing the name of the FLT file to process
Output
------
None | WFC3_Back_Sub/back_sub.py | sub_Zodi | npirzkal/WFC3_Back_sub | 0 | python | def sub_Zodi(self, flt_name):
'\n Function to re-compute and subtract the Zodi component from an FLT file. A match MSK file is assumed to exist.\n\n Attributes\n ----------\n flt_name String containing the name of the FLT file to process\n\n Output\n ------\n None\n\... | def sub_Zodi(self, flt_name):
'\n Function to re-compute and subtract the Zodi component from an FLT file. A match MSK file is assumed to exist.\n\n Attributes\n ----------\n flt_name String containing the name of the FLT file to process\n\n Output\n ------\n None\n\... |
4f06af9a677bbc7ecc0bcb78bf1c80cbc4de72a1b38fd2ef58e6f7f9b9044c0a | def plot_levels(self):
'Generate a plot showing the Zodi, HeI, and Scattered light levels for each IMSET read'
from astropy.io import fits
import matplotlib.pyplot as plt
for (n, f) in enumerate(self.flt_names):
print(f)
with fits.open(f) as fin:
h = fin[('SCI', 1)].header
... | Generate a plot showing the Zodi, HeI, and Scattered light levels for each IMSET read | WFC3_Back_Sub/back_sub.py | plot_levels | npirzkal/WFC3_Back_sub | 0 | python | def plot_levels(self):
from astropy.io import fits
import matplotlib.pyplot as plt
for (n, f) in enumerate(self.flt_names):
print(f)
with fits.open(f) as fin:
h = fin[('SCI', 1)].header
zodi = h['ZODI']
xs = []
ys1 = []
ys2 = [... | def plot_levels(self):
from astropy.io import fits
import matplotlib.pyplot as plt
for (n, f) in enumerate(self.flt_names):
print(f)
with fits.open(f) as fin:
h = fin[('SCI', 1)].header
zodi = h['ZODI']
xs = []
ys1 = []
ys2 = [... |
b4771487f2bf811660546fde2761fe2e7d37f3a334a14afcbed0b9fddf257c00 | def diagnostic_plots(self):
'\n Function to output diagnostic plots for each of the processed observations, plotting the median residuals in the\n final background subtracted FLT files (after applying the detection mask).\n Attributes\n ----------\n obs_ids List containing the IDs... | Function to output diagnostic plots for each of the processed observations, plotting the median residuals in the
final background subtracted FLT files (after applying the detection mask).
Attributes
----------
obs_ids List containing the IDs of the FLT files to process
Output
------
Name of the plot file | WFC3_Back_Sub/back_sub.py | diagnostic_plots | npirzkal/WFC3_Back_sub | 0 | python | def diagnostic_plots(self):
'\n Function to output diagnostic plots for each of the processed observations, plotting the median residuals in the\n final background subtracted FLT files (after applying the detection mask).\n Attributes\n ----------\n obs_ids List containing the IDs... | def diagnostic_plots(self):
'\n Function to output diagnostic plots for each of the processed observations, plotting the median residuals in the\n final background subtracted FLT files (after applying the detection mask).\n Attributes\n ----------\n obs_ids List containing the IDs... |
ad98b02219c43f5aae65d3fb9c9aaaa8113d6c51dcda553781f35c0146ee0235 | def restore_FF(self):
'\n Function to undo the flattening of an FLT file by de-applying the flat-field that was used and instead\n re-applying the default pipeline flat-field which only corrects for the quandrant gain values.\n '
f1 = os.path.join(os.environ['tref'], self.FF_file.split('$')... | Function to undo the flattening of an FLT file by de-applying the flat-field that was used and instead
re-applying the default pipeline flat-field which only corrects for the quandrant gain values. | WFC3_Back_Sub/back_sub.py | restore_FF | npirzkal/WFC3_Back_sub | 0 | python | def restore_FF(self):
'\n Function to undo the flattening of an FLT file by de-applying the flat-field that was used and instead\n re-applying the default pipeline flat-field which only corrects for the quandrant gain values.\n '
f1 = os.path.join(os.environ['tref'], self.FF_file.split('$')... | def restore_FF(self):
'\n Function to undo the flattening of an FLT file by de-applying the flat-field that was used and instead\n re-applying the default pipeline flat-field which only corrects for the quandrant gain values.\n '
f1 = os.path.join(os.environ['tref'], self.FF_file.split('$')... |
cda778aad89e082cc67bf06c0d88d15280cfbc5e71a599ae82c6176722d50e71 | def jump(self, nums):
'\n :type nums: List[int]\n :rtype: int\n '
if (len(nums) == 1):
return 0
lenNums = len(nums)
(start, end, cnt) = (0, nums[0], 1)
while (end < (lenNums - 1)):
newEnd = end
for i in range((start + 1), (end + 1)):
newEnd = ... | :type nums: List[int]
:rtype: int | Q45JumpGameII.py | jump | ChenliangLi205/LeetCode | 0 | python | def jump(self, nums):
'\n :type nums: List[int]\n :rtype: int\n '
if (len(nums) == 1):
return 0
lenNums = len(nums)
(start, end, cnt) = (0, nums[0], 1)
while (end < (lenNums - 1)):
newEnd = end
for i in range((start + 1), (end + 1)):
newEnd = ... | def jump(self, nums):
'\n :type nums: List[int]\n :rtype: int\n '
if (len(nums) == 1):
return 0
lenNums = len(nums)
(start, end, cnt) = (0, nums[0], 1)
while (end < (lenNums - 1)):
newEnd = end
for i in range((start + 1), (end + 1)):
newEnd = ... |
b92d0312c1d91ab61f8f0463168c6f3a88ace94c5431e9688f98f68fff756f7e | def write_info(dirs, run_parallel, parallel, config):
'Write cluster or local filesystem resources, spinning up cluster if not present.\n '
if (parallel['type'] in ['ipython']):
out_file = _get_cache_file(dirs, parallel)
if (not utils.file_exists(out_file)):
sys_config = copy.deep... | Write cluster or local filesystem resources, spinning up cluster if not present. | bcbio/provenance/system.py | write_info | brentp/bcbio-nextgen | 1 | python | def write_info(dirs, run_parallel, parallel, config):
'\n '
if (parallel['type'] in ['ipython']):
out_file = _get_cache_file(dirs, parallel)
if (not utils.file_exists(out_file)):
sys_config = copy.deepcopy(config)
sys_config['algorithm']['resource_check'] = False
... | def write_info(dirs, run_parallel, parallel, config):
'\n '
if (parallel['type'] in ['ipython']):
out_file = _get_cache_file(dirs, parallel)
if (not utils.file_exists(out_file)):
sys_config = copy.deepcopy(config)
sys_config['algorithm']['resource_check'] = False
... |
ac5667ed6e3c413b6e0937208f7eadd37c35c6f55f345e9b837244968ee0b2cd | def get_info(dirs, parallel):
'Retrieve cluster or local filesystem resources from pre-retrieved information.\n '
if (parallel['type'] in ['ipython']):
cache_file = _get_cache_file(dirs, parallel)
if utils.file_exists(cache_file):
with open(cache_file) as in_handle:
... | Retrieve cluster or local filesystem resources from pre-retrieved information. | bcbio/provenance/system.py | get_info | brentp/bcbio-nextgen | 1 | python | def get_info(dirs, parallel):
'\n '
if (parallel['type'] in ['ipython']):
cache_file = _get_cache_file(dirs, parallel)
if utils.file_exists(cache_file):
with open(cache_file) as in_handle:
minfo = yaml.load(in_handle)
return _combine_machine_info(minfo)... | def get_info(dirs, parallel):
'\n '
if (parallel['type'] in ['ipython']):
cache_file = _get_cache_file(dirs, parallel)
if utils.file_exists(cache_file):
with open(cache_file) as in_handle:
minfo = yaml.load(in_handle)
return _combine_machine_info(minfo)... |
2b91ef68a6947758742d8451acc6862cfa1ba6d33a4961d33c679e57d0840e95 | def machine_info():
'Retrieve core and memory information for the current machine.\n '
BYTES_IN_GIG = 1073741824
free_bytes = psutil.virtual_memory().available
return [{'memory': int((free_bytes / BYTES_IN_GIG)), 'cores': multiprocessing.cpu_count(), 'name': socket.gethostname()}] | Retrieve core and memory information for the current machine. | bcbio/provenance/system.py | machine_info | brentp/bcbio-nextgen | 1 | python | def machine_info():
'\n '
BYTES_IN_GIG = 1073741824
free_bytes = psutil.virtual_memory().available
return [{'memory': int((free_bytes / BYTES_IN_GIG)), 'cores': multiprocessing.cpu_count(), 'name': socket.gethostname()}] | def machine_info():
'\n '
BYTES_IN_GIG = 1073741824
free_bytes = psutil.virtual_memory().available
return [{'memory': int((free_bytes / BYTES_IN_GIG)), 'cores': multiprocessing.cpu_count(), 'name': socket.gethostname()}]<|docstring|>Retrieve core and memory information for the current machine.<|endof... |
ffbb67fd2dd49ded43b1d02035991b08eb0d8e272a696b97e48ac4df1eaae54f | def forward(self, x, record_len, pairwise_t_matrix):
'\n Fusion forwarding.\n \n Parameters\n ----------\n x : torch.Tensor\n input data, (B, C, H, W)\n \n record_len : list\n shape: (B)\n \n pairwise_t_matrix : torch.Tenso... | Fusion forwarding.
Parameters
----------
x : torch.Tensor
input data, (B, C, H, W)
record_len : list
shape: (B)
pairwise_t_matrix : torch.Tensor
The transformation matrix from each cav to ego,
shape: (B, L, L, 4, 4)
Returns
-------
Fused feature. | opencood/models/fuse_modules/v2v_fuse.py | forward | YuanYunshuang/OpenCOOD | 0 | python | def forward(self, x, record_len, pairwise_t_matrix):
'\n Fusion forwarding.\n \n Parameters\n ----------\n x : torch.Tensor\n input data, (B, C, H, W)\n \n record_len : list\n shape: (B)\n \n pairwise_t_matrix : torch.Tenso... | def forward(self, x, record_len, pairwise_t_matrix):
'\n Fusion forwarding.\n \n Parameters\n ----------\n x : torch.Tensor\n input data, (B, C, H, W)\n \n record_len : list\n shape: (B)\n \n pairwise_t_matrix : torch.Tenso... |
c21820bb870be16376f03687c049b1b04a12171075f1300a8097b46b0e47b049 | def __init__(self, transforms):
'Constructor.\n\n Args:\n transforms: an iterable of `Transform` objects.\n '
super().__init__()
self._transforms = nn.ModuleList(transforms) | Constructor.
Args:
transforms: an iterable of `Transform` objects. | manifold_flow/transforms/base.py | __init__ | Butters-cloud/Denoising-Normalizing-Flow | 199 | python | def __init__(self, transforms):
'Constructor.\n\n Args:\n transforms: an iterable of `Transform` objects.\n '
super().__init__()
self._transforms = nn.ModuleList(transforms) | def __init__(self, transforms):
'Constructor.\n\n Args:\n transforms: an iterable of `Transform` objects.\n '
super().__init__()
self._transforms = nn.ModuleList(transforms)<|docstring|>Constructor.
Args:
transforms: an iterable of `Transform` objects.<|endoftext|> |
8918ebea7b0984d00d67bf28b001d8c6c976f1f9102715ddb73dbeeebf277848 | def __init__(self, num_transforms, split_dim=1):
'Constructor.\n\n Args:\n num_transforms: int, total number of transforms to be added.\n split_dim: dimension along which to split.\n '
if (not various.is_positive_int(split_dim)):
raise TypeError('Split dimension must ... | Constructor.
Args:
num_transforms: int, total number of transforms to be added.
split_dim: dimension along which to split. | manifold_flow/transforms/base.py | __init__ | Butters-cloud/Denoising-Normalizing-Flow | 199 | python | def __init__(self, num_transforms, split_dim=1):
'Constructor.\n\n Args:\n num_transforms: int, total number of transforms to be added.\n split_dim: dimension along which to split.\n '
if (not various.is_positive_int(split_dim)):
raise TypeError('Split dimension must ... | def __init__(self, num_transforms, split_dim=1):
'Constructor.\n\n Args:\n num_transforms: int, total number of transforms to be added.\n split_dim: dimension along which to split.\n '
if (not various.is_positive_int(split_dim)):
raise TypeError('Split dimension must ... |
33519c96f5a7a666fe86e7cfb347bdfc092f1575b16b83a00e423b4ad7aac4f5 | def add_transform(self, transform, transform_output_shape):
"Add a transform. Must be called exactly `num_transforms` times.\n\n Parameters:\n transform: the `Transform` object to be added.\n transform_output_shape: tuple, shape of transform's outputs, excl. the first batch\n ... | Add a transform. Must be called exactly `num_transforms` times.
Parameters:
transform: the `Transform` object to be added.
transform_output_shape: tuple, shape of transform's outputs, excl. the first batch
dimension.
Returns:
Input shape for the next transform, or None if adding the last transform... | manifold_flow/transforms/base.py | add_transform | Butters-cloud/Denoising-Normalizing-Flow | 199 | python | def add_transform(self, transform, transform_output_shape):
"Add a transform. Must be called exactly `num_transforms` times.\n\n Parameters:\n transform: the `Transform` object to be added.\n transform_output_shape: tuple, shape of transform's outputs, excl. the first batch\n ... | def add_transform(self, transform, transform_output_shape):
"Add a transform. Must be called exactly `num_transforms` times.\n\n Parameters:\n transform: the `Transform` object to be added.\n transform_output_shape: tuple, shape of transform's outputs, excl. the first batch\n ... |
6eb8223c65cce177e07a7b324c19559bb776b11a009752e09a59717cf21d0f11 | def __init__(self, transform):
'Constructor.\n\n Args:\n transform: An object of type `Transform`.\n '
super().__init__()
self._transform = transform | Constructor.
Args:
transform: An object of type `Transform`. | manifold_flow/transforms/base.py | __init__ | Butters-cloud/Denoising-Normalizing-Flow | 199 | python | def __init__(self, transform):
'Constructor.\n\n Args:\n transform: An object of type `Transform`.\n '
super().__init__()
self._transform = transform | def __init__(self, transform):
'Constructor.\n\n Args:\n transform: An object of type `Transform`.\n '
super().__init__()
self._transform = transform<|docstring|>Constructor.
Args:
transform: An object of type `Transform`.<|endoftext|> |
1894fa656e93ef02930d944addc7ac81b7450b4f72d16e9519d31013a8a881e9 | def quick(argv):
'\n quick [+-rR[N]] [n]\n 重复挑战当前画面关卡特定次数或直到理智不足\n +r/-r 是否自动回复理智，最多回复 N 次\n +R/-R 是否使用源石回复理智（需要同时开启 +r）\n '
ops = _parse_opt(argv)
if (len(argv) == 2):
count = int(argv[1])
else:
count = 114514
helper = _create_helper(show_toggle=True)
... | quick [+-rR[N]] [n]
重复挑战当前画面关卡特定次数或直到理智不足
+r/-r 是否自动回复理智，最多回复 N 次
+R/-R 是否使用源石回复理智（需要同时开启 +r） | Arknights/shell_next.py | quick | ligeek/ArknightsAutoHelper | 3 | python | def quick(argv):
'\n quick [+-rR[N]] [n]\n 重复挑战当前画面关卡特定次数或直到理智不足\n +r/-r 是否自动回复理智，最多回复 N 次\n +R/-R 是否使用源石回复理智（需要同时开启 +r）\n '
ops = _parse_opt(argv)
if (len(argv) == 2):
count = int(argv[1])
else:
count = 114514
helper = _create_helper(show_toggle=True)
... | def quick(argv):
'\n quick [+-rR[N]] [n]\n 重复挑战当前画面关卡特定次数或直到理智不足\n +r/-r 是否自动回复理智，最多回复 N 次\n +R/-R 是否使用源石回复理智（需要同时开启 +r）\n '
ops = _parse_opt(argv)
if (len(argv) == 2):
count = int(argv[1])
else:
count = 114514
helper = _create_helper(show_toggle=True)
... |
001ef811f49195e530f50f8f43be2b95a84deaa81de7c5227be57d181c1cecd8 | def auto(argv):
'\n auto [+-rR[N]] stage1 count1 [stage2 count2] ...\n 按顺序挑战指定关卡特定次数直到理智不足\n '
ops = _parse_opt(argv)
arglist = argv[1:]
if ((len(arglist) % 2) != 0):
print('usage: auto [+-rR] stage1 count1 [stage2 count2] ...')
return 1
it = iter(arglist)
tasks = [(... | auto [+-rR[N]] stage1 count1 [stage2 count2] ...
按顺序挑战指定关卡特定次数直到理智不足 | Arknights/shell_next.py | auto | ligeek/ArknightsAutoHelper | 3 | python | def auto(argv):
'\n auto [+-rR[N]] stage1 count1 [stage2 count2] ...\n 按顺序挑战指定关卡特定次数直到理智不足\n '
ops = _parse_opt(argv)
arglist = argv[1:]
if ((len(arglist) % 2) != 0):
print('usage: auto [+-rR] stage1 count1 [stage2 count2] ...')
return 1
it = iter(arglist)
tasks = [(... | def auto(argv):
'\n auto [+-rR[N]] stage1 count1 [stage2 count2] ...\n 按顺序挑战指定关卡特定次数直到理智不足\n '
ops = _parse_opt(argv)
arglist = argv[1:]
if ((len(arglist) % 2) != 0):
print('usage: auto [+-rR] stage1 count1 [stage2 count2] ...')
return 1
it = iter(arglist)
tasks = [(... |
5dc61ac78f1b9fc0fa3df69af830d7ae38d2a41ae154ec437ce5839f47ef432b | def collect(argv):
'\n collect\n 收集每日任务奖励\n '
helper = _create_helper()
with helper._shellng_context:
helper.clear_daily_task()
return 0 | collect
收集每日任务奖励 | Arknights/shell_next.py | collect | ligeek/ArknightsAutoHelper | 3 | python | def collect(argv):
'\n collect\n 收集每日任务奖励\n '
helper = _create_helper()
with helper._shellng_context:
helper.clear_daily_task()
return 0 | def collect(argv):
'\n collect\n 收集每日任务奖励\n '
helper = _create_helper()
with helper._shellng_context:
helper.clear_daily_task()
return 0<|docstring|>collect
收集每日任务奖励<|endoftext|> |
051d5ec73c3849ec62dd40e934ba1f67a71c061da79883891c77baeada49928c | def recruit(argv):
'\n recruit [tags ...]\n 公开招募识别/计算，不指定标签则从截图中识别\n '
from . import recruit_calc
if (2 <= len(argv) <= 6):
tags = argv[1:]
result = recruit_calc.calculate(tags)
elif (len(argv) == 1):
helper = _create_helper(use_status_line=False)
with helper... | recruit [tags ...]
公开招募识别/计算，不指定标签则从截图中识别 | Arknights/shell_next.py | recruit | ligeek/ArknightsAutoHelper | 3 | python | def recruit(argv):
'\n recruit [tags ...]\n 公开招募识别/计算，不指定标签则从截图中识别\n '
from . import recruit_calc
if (2 <= len(argv) <= 6):
tags = argv[1:]
result = recruit_calc.calculate(tags)
elif (len(argv) == 1):
helper = _create_helper(use_status_line=False)
with helper... | def recruit(argv):
'\n recruit [tags ...]\n 公开招募识别/计算，不指定标签则从截图中识别\n '
from . import recruit_calc
if (2 <= len(argv) <= 6):
tags = argv[1:]
result = recruit_calc.calculate(tags)
elif (len(argv) == 1):
helper = _create_helper(use_status_line=False)
with helper... |
239627b2ad7e484f9f3148a2ca1fd0ce7d4ae47d74ed0b48297a5e283be49096 | def interactive(argv):
'\n interactive\n 进入交互模式，减少按键次数（\n '
import shlex
import traceback
helpcmds(interactive_cmds)
errorlevel = None
try:
import readline
except ImportError:
pass
while True:
try:
cmdline = input('akhelper> ')
... | interactive
进入交互模式，减少按键次数（ | Arknights/shell_next.py | interactive | ligeek/ArknightsAutoHelper | 3 | python | def interactive(argv):
'\n interactive\n 进入交互模式，减少按键次数（\n '
import shlex
import traceback
helpcmds(interactive_cmds)
errorlevel = None
try:
import readline
except ImportError:
pass
while True:
try:
cmdline = input('akhelper> ')
... | def interactive(argv):
'\n interactive\n 进入交互模式，减少按键次数（\n '
import shlex
import traceback
helpcmds(interactive_cmds)
errorlevel = None
try:
import readline
except ImportError:
pass
while True:
try:
cmdline = input('akhelper> ')
... |
9896080599d59aa3deca0720d17c5248b45c61aabdd31b4a161b365b59bdcf99 | def help(argv):
'\n help\n 输出本段消息\n '
print(('usage: %s command [command args]' % argv0))
helpcmds(global_cmds) | help
输出本段消息 | Arknights/shell_next.py | help | ligeek/ArknightsAutoHelper | 3 | python | def help(argv):
'\n help\n 输出本段消息\n '
print(('usage: %s command [command args]' % argv0))
helpcmds(global_cmds) | def help(argv):
'\n help\n 输出本段消息\n '
print(('usage: %s command [command args]' % argv0))
helpcmds(global_cmds)<|docstring|>help
输出本段消息<|endoftext|> |
a20ca8435094898ccfe1def03f83e931417b164f384488ffee77c714ae7a96b8 | def etree(self):
'\n Returns a tree root object.\n '
if (not hasattr(self, '_etree_root')):
self._etree_root = ET.fromstring(self.data())
return self._etree_root | Returns a tree root object. | dexy/datas/et.py | etree | dsoto/dexy | 136 | python | def etree(self):
'\n \n '
if (not hasattr(self, '_etree_root')):
self._etree_root = ET.fromstring(self.data())
return self._etree_root | def etree(self):
'\n \n '
if (not hasattr(self, '_etree_root')):
self._etree_root = ET.fromstring(self.data())
return self._etree_root<|docstring|>Returns a tree root object.<|endoftext|> |
7775b2f1bdf66821016bc14de7b9239a79701fe9f92a6e231a4aac64d35fb87a | def btn_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
'add inline btn\n\n Returns 2 part tuple containing list of nodes to insert into the\n document and a list of system messages. Both are allowed to be\n empty.\n\n :param name: The role name used in the document.\n :param raw... | add inline btn
Returns 2 part tuple containing list of nodes to insert into the
document and a list of system messages. Both are allowed to be
empty.
:param name: The role name used in the document.
:param rawtext: The entire markup snippet, with role.
:param text: The text marked with the role. (it should use the f... | docs/source/_extentions/btn.py | btn_role | t-elisee/sepal-doc | 2 | python | def btn_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
'add inline btn\n\n Returns 2 part tuple containing list of nodes to insert into the\n document and a list of system messages. Both are allowed to be\n empty.\n\n :param name: The role name used in the document.\n :param raw... | def btn_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
'add inline btn\n\n Returns 2 part tuple containing list of nodes to insert into the\n document and a list of system messages. Both are allowed to be\n empty.\n\n :param name: The role name used in the document.\n :param raw... |
b67b136590b31e6e827ab2a04b58658855f0316af9afeece45120656f505d8e3 | def setup(app):
'Install the plugin.\n\n :param app: Sphinx application context.\n '
app.add_role('btn', btn_role)
return | Install the plugin.
:param app: Sphinx application context. | docs/source/_extentions/btn.py | setup | t-elisee/sepal-doc | 2 | python | def setup(app):
'Install the plugin.\n\n :param app: Sphinx application context.\n '
app.add_role('btn', btn_role)
return | def setup(app):
'Install the plugin.\n\n :param app: Sphinx application context.\n '
app.add_role('btn', btn_role)
return<|docstring|>Install the plugin.
:param app: Sphinx application context.<|endoftext|> |
89a801c6c5d2ecff6d5ff7b82ac765b7ed73386ccaf3c8f21f151aebc30ccfaf | @serial_task(settings.SYNC_TASK_TIMEOUT, base=PontoonTask, lock_key='project={0}', on_error=sync_project_error)
def sync_project(self, project_pk, sync_log_pk, locale=None, no_pull=False, no_commit=False, force=False):
'Fetch the project with the given PK and perform sync on it.'
db_project = get_or_fail(Projec... | Fetch the project with the given PK and perform sync on it. | pontoon/sync/tasks.py | sync_project | julen/pontoon | 0 | python | @serial_task(settings.SYNC_TASK_TIMEOUT, base=PontoonTask, lock_key='project={0}', on_error=sync_project_error)
def sync_project(self, project_pk, sync_log_pk, locale=None, no_pull=False, no_commit=False, force=False):
db_project = get_or_fail(Project, pk=project_pk, message='Could not sync project with pk={0}... | @serial_task(settings.SYNC_TASK_TIMEOUT, base=PontoonTask, lock_key='project={0}', on_error=sync_project_error)
def sync_project(self, project_pk, sync_log_pk, locale=None, no_pull=False, no_commit=False, force=False):
db_project = get_or_fail(Project, pk=project_pk, message='Could not sync project with pk={0}... |
4d212e9d39a88bcf5bb90a9eb20e94ae66bb00b7d8cdda65ce0287d4f694b188 | def filter_all(self, cells, filter_properties):
'Override filter_all() which operates on the full list\n of cells...\n '
scheduler_hints = filter_properties.get('scheduler_hints')
if (not scheduler_hints):
return cells
cell_routes = scheduler_hints.get('different_cell')
if (not... | Override filter_all() which operates on the full list
of cells... | nova/cells/filters/different_cell.py | filter_all | jovial/nova | 5 | python | def filter_all(self, cells, filter_properties):
'Override filter_all() which operates on the full list\n of cells...\n '
scheduler_hints = filter_properties.get('scheduler_hints')
if (not scheduler_hints):
return cells
cell_routes = scheduler_hints.get('different_cell')
if (not... | def filter_all(self, cells, filter_properties):
'Override filter_all() which operates on the full list\n of cells...\n '
scheduler_hints = filter_properties.get('scheduler_hints')
if (not scheduler_hints):
return cells
cell_routes = scheduler_hints.get('different_cell')
if (not... |
ce250a4b7ccfa2888cf39aa0f7d67423f0c9bbeca6b93834bbe1671ce9aca736 | def __init__(self, state_shape: tuple, action_shape: tuple, name: str, side: str='up', config: Config=None, caching: bool=False, cache: RedisCache=None, channel: RedisChannel=None):
'\n abstract class for agent which define the general interface for Agents\n :param name:\n :param side:\n ... | abstract class for agent which define the general interface for Agents
:param name:
:param side: | checkers/agents/Agent.py | __init__ | FelixKleineBoesing/CheckersAI | 1 | python | def __init__(self, state_shape: tuple, action_shape: tuple, name: str, side: str='up', config: Config=None, caching: bool=False, cache: RedisCache=None, channel: RedisChannel=None):
'\n abstract class for agent which define the general interface for Agents\n :param name:\n :param side:\n ... | def __init__(self, state_shape: tuple, action_shape: tuple, name: str, side: str='up', config: Config=None, caching: bool=False, cache: RedisCache=None, channel: RedisChannel=None):
'\n abstract class for agent which define the general interface for Agents\n :param name:\n :param side:\n ... |
7090879537a74d3279b125885b82e9eb36dd8771703c14b0d3c0076fb992c4e7 | def play_turn(self, state_space: np.ndarray, action_space: ActionSpace):
'\n get all possible actions and decide which action to take\n :param state_space: np array describing the board\n :param action_space: dictionary containing all possible moves\n :return:\n '
decision = s... | get all possible actions and decide which action to take
:param state_space: np array describing the board
:param action_space: dictionary containing all possible moves
:return: | checkers/agents/Agent.py | play_turn | FelixKleineBoesing/CheckersAI | 1 | python | def play_turn(self, state_space: np.ndarray, action_space: ActionSpace):
'\n get all possible actions and decide which action to take\n :param state_space: np array describing the board\n :param action_space: dictionary containing all possible moves\n :return:\n '
decision = s... | def play_turn(self, state_space: np.ndarray, action_space: ActionSpace):
'\n get all possible actions and decide which action to take\n :param state_space: np array describing the board\n :param action_space: dictionary containing all possible moves\n :return:\n '
decision = s... |
ca2bb0aa73105a8707400ac6d1786c1804e17dc0cf6674c4d6892af8e1a7dccf | def get_feedback(self, state: np.ndarray, action: int, reward: float, next_state: np.ndarray, finished: bool):
'\n through this function the agent gets information about the last turn\n :param state:\n :param action:\n :param reward:\n :param next_state:\n :param finished:\... | through this function the agent gets information about the last turn
:param state:
:param action:
:param reward:
:param next_state:
:param finished:
:return: No return | checkers/agents/Agent.py | get_feedback | FelixKleineBoesing/CheckersAI | 1 | python | def get_feedback(self, state: np.ndarray, action: int, reward: float, next_state: np.ndarray, finished: bool):
'\n through this function the agent gets information about the last turn\n :param state:\n :param action:\n :param reward:\n :param next_state:\n :param finished:\... | def get_feedback(self, state: np.ndarray, action: int, reward: float, next_state: np.ndarray, finished: bool):
'\n through this function the agent gets information about the last turn\n :param state:\n :param action:\n :param reward:\n :param next_state:\n :param finished:\... |
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