body stringlengths 26 98.2k | body_hash int64 -9,222,864,604,528,158,000 9,221,803,474B | docstring stringlengths 1 16.8k | path stringlengths 5 230 | name stringlengths 1 96 | repository_name stringlengths 7 89 | lang stringclasses 1
value | body_without_docstring stringlengths 20 98.2k |
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def delete_namespaced_job(self, name, namespace, **kwargs):
'\n delete a Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.delete_namespaced_job(name, namespace, async_req=True)\n >>... | -2,694,559,309,886,043,000 | delete a Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_namespaced_job(name, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Job (required)
:param str namespace... | kubernetes/client/apis/batch_v1_api.py | delete_namespaced_job | MiaoRachelYu/python | python | def delete_namespaced_job(self, name, namespace, **kwargs):
'\n delete a Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.delete_namespaced_job(name, namespace, async_req=True)\n >>... |
def delete_namespaced_job_with_http_info(self, name, namespace, **kwargs):
'\n delete a Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.delete_namespaced_job_with_http_info(name, namespac... | -8,098,088,110,390,845,000 | delete a Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_namespaced_job_with_http_info(name, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Job (required)
:para... | kubernetes/client/apis/batch_v1_api.py | delete_namespaced_job_with_http_info | MiaoRachelYu/python | python | def delete_namespaced_job_with_http_info(self, name, namespace, **kwargs):
'\n delete a Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.delete_namespaced_job_with_http_info(name, namespac... |
def get_api_resources(self, **kwargs):
'\n get available resources\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.get_api_resources(async_req=True)\n >>> result = thread.get()\n\n ... | -340,951,253,249,199,000 | get available resources
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_api_resources(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: V1APIResourceList
If the method is called asynchronously... | kubernetes/client/apis/batch_v1_api.py | get_api_resources | MiaoRachelYu/python | python | def get_api_resources(self, **kwargs):
'\n get available resources\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.get_api_resources(async_req=True)\n >>> result = thread.get()\n\n ... |
def get_api_resources_with_http_info(self, **kwargs):
'\n get available resources\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.get_api_resources_with_http_info(async_req=True)\n >>>... | -5,848,708,895,557,926,000 | get available resources
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_api_resources_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: V1APIResourceList
If the method is called... | kubernetes/client/apis/batch_v1_api.py | get_api_resources_with_http_info | MiaoRachelYu/python | python | def get_api_resources_with_http_info(self, **kwargs):
'\n get available resources\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.get_api_resources_with_http_info(async_req=True)\n >>>... |
def list_job_for_all_namespaces(self, **kwargs):
'\n list or watch objects of kind Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.list_job_for_all_namespaces(async_req=True)\n >>>... | -4,896,911,224,072,507,000 | list or watch objects of kind Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_job_for_all_namespaces(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str _continue: The continue option should be se... | kubernetes/client/apis/batch_v1_api.py | list_job_for_all_namespaces | MiaoRachelYu/python | python | def list_job_for_all_namespaces(self, **kwargs):
'\n list or watch objects of kind Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.list_job_for_all_namespaces(async_req=True)\n >>>... |
def list_job_for_all_namespaces_with_http_info(self, **kwargs):
'\n list or watch objects of kind Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.list_job_for_all_namespaces_with_http_inf... | -7,553,818,778,255,635,000 | list or watch objects of kind Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_job_for_all_namespaces_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str _continue: The continue opti... | kubernetes/client/apis/batch_v1_api.py | list_job_for_all_namespaces_with_http_info | MiaoRachelYu/python | python | def list_job_for_all_namespaces_with_http_info(self, **kwargs):
'\n list or watch objects of kind Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.list_job_for_all_namespaces_with_http_inf... |
def list_namespaced_job(self, namespace, **kwargs):
'\n list or watch objects of kind Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.list_namespaced_job(namespace, async_req=True)\n ... | -8,123,203,867,841,701,000 | list or watch objects of kind Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_namespaced_job(namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str namespace: object name and auth scope, s... | kubernetes/client/apis/batch_v1_api.py | list_namespaced_job | MiaoRachelYu/python | python | def list_namespaced_job(self, namespace, **kwargs):
'\n list or watch objects of kind Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.list_namespaced_job(namespace, async_req=True)\n ... |
def list_namespaced_job_with_http_info(self, namespace, **kwargs):
'\n list or watch objects of kind Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.list_namespaced_job_with_http_info(nam... | -3,838,151,148,503,006,700 | list or watch objects of kind Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_namespaced_job_with_http_info(namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str namespace: object name an... | kubernetes/client/apis/batch_v1_api.py | list_namespaced_job_with_http_info | MiaoRachelYu/python | python | def list_namespaced_job_with_http_info(self, namespace, **kwargs):
'\n list or watch objects of kind Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.list_namespaced_job_with_http_info(nam... |
def patch_namespaced_job(self, name, namespace, body, **kwargs):
"\n partially update the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.patch_namespaced_job(name, namespace, b... | 675,484,736,674,713,500 | partially update the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_namespaced_job(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Job (req... | kubernetes/client/apis/batch_v1_api.py | patch_namespaced_job | MiaoRachelYu/python | python | def patch_namespaced_job(self, name, namespace, body, **kwargs):
"\n partially update the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.patch_namespaced_job(name, namespace, b... |
def patch_namespaced_job_with_http_info(self, name, namespace, body, **kwargs):
"\n partially update the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.patch_namespaced_job_wit... | -8,757,680,812,355,071,000 | partially update the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_namespaced_job_with_http_info(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name ... | kubernetes/client/apis/batch_v1_api.py | patch_namespaced_job_with_http_info | MiaoRachelYu/python | python | def patch_namespaced_job_with_http_info(self, name, namespace, body, **kwargs):
"\n partially update the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.patch_namespaced_job_wit... |
def patch_namespaced_job_status(self, name, namespace, body, **kwargs):
"\n partially update status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.patch_namespaced_job_s... | 1,816,886,749,744,125,400 | partially update status of the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_namespaced_job_status(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: nam... | kubernetes/client/apis/batch_v1_api.py | patch_namespaced_job_status | MiaoRachelYu/python | python | def patch_namespaced_job_status(self, name, namespace, body, **kwargs):
"\n partially update status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.patch_namespaced_job_s... |
def patch_namespaced_job_status_with_http_info(self, name, namespace, body, **kwargs):
"\n partially update status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.patch_n... | 6,879,412,285,873,147,000 | partially update status of the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_namespaced_job_status_with_http_info(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:para... | kubernetes/client/apis/batch_v1_api.py | patch_namespaced_job_status_with_http_info | MiaoRachelYu/python | python | def patch_namespaced_job_status_with_http_info(self, name, namespace, body, **kwargs):
"\n partially update status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.patch_n... |
def read_namespaced_job(self, name, namespace, **kwargs):
"\n read the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.read_namespaced_job(name, namespace, async_req=True)\n ... | 8,608,870,038,711,187,000 | read the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_namespaced_job(name, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Job (required)
:param str n... | kubernetes/client/apis/batch_v1_api.py | read_namespaced_job | MiaoRachelYu/python | python | def read_namespaced_job(self, name, namespace, **kwargs):
"\n read the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.read_namespaced_job(name, namespace, async_req=True)\n ... |
def read_namespaced_job_with_http_info(self, name, namespace, **kwargs):
"\n read the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.read_namespaced_job_with_http_info(name, na... | -4,373,121,982,148,294,700 | read the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_namespaced_job_with_http_info(name, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Job (require... | kubernetes/client/apis/batch_v1_api.py | read_namespaced_job_with_http_info | MiaoRachelYu/python | python | def read_namespaced_job_with_http_info(self, name, namespace, **kwargs):
"\n read the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.read_namespaced_job_with_http_info(name, na... |
def read_namespaced_job_status(self, name, namespace, **kwargs):
"\n read status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.read_namespaced_job_status(name, namespac... | -4,481,424,527,974,825,500 | read status of the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_namespaced_job_status(name, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Job (requi... | kubernetes/client/apis/batch_v1_api.py | read_namespaced_job_status | MiaoRachelYu/python | python | def read_namespaced_job_status(self, name, namespace, **kwargs):
"\n read status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.read_namespaced_job_status(name, namespac... |
def read_namespaced_job_status_with_http_info(self, name, namespace, **kwargs):
"\n read status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.read_namespaced_job_status... | 8,040,640,776,958,956,000 | read status of the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_namespaced_job_status_with_http_info(name, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of... | kubernetes/client/apis/batch_v1_api.py | read_namespaced_job_status_with_http_info | MiaoRachelYu/python | python | def read_namespaced_job_status_with_http_info(self, name, namespace, **kwargs):
"\n read status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.read_namespaced_job_status... |
def replace_namespaced_job(self, name, namespace, body, **kwargs):
"\n replace the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.replace_namespaced_job(name, namespace, body, ... | 1,828,721,135,564,521,500 | replace the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.replace_namespaced_job(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Job (required)
... | kubernetes/client/apis/batch_v1_api.py | replace_namespaced_job | MiaoRachelYu/python | python | def replace_namespaced_job(self, name, namespace, body, **kwargs):
"\n replace the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.replace_namespaced_job(name, namespace, body, ... |
def replace_namespaced_job_with_http_info(self, name, namespace, body, **kwargs):
"\n replace the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.replace_namespaced_job_with_htt... | -3,535,187,599,020,698,000 | replace the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.replace_namespaced_job_with_http_info(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the ... | kubernetes/client/apis/batch_v1_api.py | replace_namespaced_job_with_http_info | MiaoRachelYu/python | python | def replace_namespaced_job_with_http_info(self, name, namespace, body, **kwargs):
"\n replace the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.replace_namespaced_job_with_htt... |
def replace_namespaced_job_status(self, name, namespace, body, **kwargs):
"\n replace status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.replace_namespaced_job_status... | 901,752,369,881,230,200 | replace status of the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.replace_namespaced_job_status(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of th... | kubernetes/client/apis/batch_v1_api.py | replace_namespaced_job_status | MiaoRachelYu/python | python | def replace_namespaced_job_status(self, name, namespace, body, **kwargs):
"\n replace status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.replace_namespaced_job_status... |
def replace_namespaced_job_status_with_http_info(self, name, namespace, body, **kwargs):
"\n replace status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.replace_namesp... | -8,610,756,846,133,023,000 | replace status of the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.replace_namespaced_job_status_with_http_info(name, namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str n... | kubernetes/client/apis/batch_v1_api.py | replace_namespaced_job_status_with_http_info | MiaoRachelYu/python | python | def replace_namespaced_job_status_with_http_info(self, name, namespace, body, **kwargs):
"\n replace status of the specified Job\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.replace_namesp... |
def _setup_training(self) -> None:
'\n Setup the different steps to train a model:\n - check if all the data are given\n - create the proper strategy\n - create the features\n - prepare the model settings\n '
self._prepare_dataset()
with self.args.strategy.s... | -995,004,629,150,649,300 | Setup the different steps to train a model:
- check if all the data are given
- create the proper strategy
- create the features
- prepare the model settings | src/transformers/trainer_tf.py | _setup_training | 52Pig/transformers | python | def _setup_training(self) -> None:
'\n Setup the different steps to train a model:\n - check if all the data are given\n - create the proper strategy\n - create the features\n - prepare the model settings\n '
self._prepare_dataset()
with self.args.strategy.s... |
def _set_loss_and_metric(self) -> None:
'\n Create the training loss and metric with their name. Allowed names are those listed\n in the Tensorflow documentation and those contained in the transformers library.\n '
try:
self.loss = tf.keras.losses.get({'class_name': self.args.loss_n... | 8,436,403,641,088,140,000 | Create the training loss and metric with their name. Allowed names are those listed
in the Tensorflow documentation and those contained in the transformers library. | src/transformers/trainer_tf.py | _set_loss_and_metric | 52Pig/transformers | python | def _set_loss_and_metric(self) -> None:
'\n Create the training loss and metric with their name. Allowed names are those listed\n in the Tensorflow documentation and those contained in the transformers library.\n '
try:
self.loss = tf.keras.losses.get({'class_name': self.args.loss_n... |
def _create_summary_writer(self) -> None:
'\n Create a summary writer to be able to read the logs in Tensorboard.\n '
self.writer = tf.summary.create_file_writer(self.args.logging_dir) | 6,580,074,118,470,670,000 | Create a summary writer to be able to read the logs in Tensorboard. | src/transformers/trainer_tf.py | _create_summary_writer | 52Pig/transformers | python | def _create_summary_writer(self) -> None:
'\n \n '
self.writer = tf.summary.create_file_writer(self.args.logging_dir) |
def _prepare_dataset(self) -> None:
'\n Prepare the training, validation and test data.\n '
if (self.train_dataset is not None):
self.num_train_examples = self.train_dataset.reduce(tf.constant(0), (lambda x, _: (x + 1))).numpy()
if (self.args.max_steps > 0):
self.train_... | -2,703,407,660,692,259,300 | Prepare the training, validation and test data. | src/transformers/trainer_tf.py | _prepare_dataset | 52Pig/transformers | python | def _prepare_dataset(self) -> None:
'\n \n '
if (self.train_dataset is not None):
self.num_train_examples = self.train_dataset.reduce(tf.constant(0), (lambda x, _: (x + 1))).numpy()
if (self.args.max_steps > 0):
self.train_steps = self.args.max_steps
else:
... |
def _create_optimizer(self) -> None:
'\n Create the training optimizer with its name. Allowed names are those listed\n in the Tensorflow documentation and those contained in the transformers library.\n '
if (self.args.optimizer_name == 'adamw'):
self.optimizer = create_optimizer(sel... | 1,140,083,078,374,236,300 | Create the training optimizer with its name. Allowed names are those listed
in the Tensorflow documentation and those contained in the transformers library. | src/transformers/trainer_tf.py | _create_optimizer | 52Pig/transformers | python | def _create_optimizer(self) -> None:
'\n Create the training optimizer with its name. Allowed names are those listed\n in the Tensorflow documentation and those contained in the transformers library.\n '
if (self.args.optimizer_name == 'adamw'):
self.optimizer = create_optimizer(sel... |
def _create_checkpoint_manager(self, max_to_keep: int=5, load_model: bool=True) -> None:
'\n Create a checkpoint manager in order to be able to make the training\n fault-tolerant.\n Args:\n max_to_keep: the maximum number of checkpoints to keep in the checkpoint path.\n load_m... | 8,562,685,695,212,505,000 | Create a checkpoint manager in order to be able to make the training
fault-tolerant.
Args:
max_to_keep: the maximum number of checkpoints to keep in the checkpoint path.
load_model: if we want to start the training from the latest checkpoint. | src/transformers/trainer_tf.py | _create_checkpoint_manager | 52Pig/transformers | python | def _create_checkpoint_manager(self, max_to_keep: int=5, load_model: bool=True) -> None:
'\n Create a checkpoint manager in order to be able to make the training\n fault-tolerant.\n Args:\n max_to_keep: the maximum number of checkpoints to keep in the checkpoint path.\n load_m... |
@tf.function
def _evaluate_steps(self, per_replica_features, per_replica_labels):
'\n One step evaluation across replica.\n Args:\n per_replica_features: the batched features.\n per_replica_labels: the batched labels.\n Returns:\n The loss corresponding to the given b... | -4,422,511,022,122,007,000 | One step evaluation across replica.
Args:
per_replica_features: the batched features.
per_replica_labels: the batched labels.
Returns:
The loss corresponding to the given batch. | src/transformers/trainer_tf.py | _evaluate_steps | 52Pig/transformers | python | @tf.function
def _evaluate_steps(self, per_replica_features, per_replica_labels):
'\n One step evaluation across replica.\n Args:\n per_replica_features: the batched features.\n per_replica_labels: the batched labels.\n Returns:\n The loss corresponding to the given b... |
def evaluate(self, eval_dataset: Optional[tf.data.Dataset]=None, prediction_loss_only: Optional[bool]=None) -> Dict[(str, float)]:
'\n Prediction/evaluation loop, shared by `evaluate()` and `predict()`.\n '
if (eval_dataset is None):
eval_dataset = self.eval_dataset
output = self._pred... | 5,990,231,844,588,909,000 | Prediction/evaluation loop, shared by `evaluate()` and `predict()`. | src/transformers/trainer_tf.py | evaluate | 52Pig/transformers | python | def evaluate(self, eval_dataset: Optional[tf.data.Dataset]=None, prediction_loss_only: Optional[bool]=None) -> Dict[(str, float)]:
'\n \n '
if (eval_dataset is None):
eval_dataset = self.eval_dataset
output = self._prediction_loop(eval_dataset, description='Evaluation')
return outp... |
def train(self) -> None:
'\n Train method to train the model.\n '
if self.args.debug:
tf.summary.trace_on(graph=True, profiler=True)
self.gradient_accumulator.reset()
iterations = self.optimizer.iterations
if (iterations.numpy() > 0):
logger.info('Start the training fro... | 7,017,242,654,244,077,000 | Train method to train the model. | src/transformers/trainer_tf.py | train | 52Pig/transformers | python | def train(self) -> None:
'\n \n '
if self.args.debug:
tf.summary.trace_on(graph=True, profiler=True)
self.gradient_accumulator.reset()
iterations = self.optimizer.iterations
if (iterations.numpy() > 0):
logger.info('Start the training from the last checkpoint')
... |
def _training_steps(self):
'\n Returns a generator over training steps (i.e. parameters update).\n '
for (i, loss) in enumerate(self._accumulate_next_gradients()):
if ((i % self.args.gradient_accumulation_steps) == 0):
self._apply_gradients()
(yield loss) | 944,048,814,093,468,400 | Returns a generator over training steps (i.e. parameters update). | src/transformers/trainer_tf.py | _training_steps | 52Pig/transformers | python | def _training_steps(self):
'\n \n '
for (i, loss) in enumerate(self._accumulate_next_gradients()):
if ((i % self.args.gradient_accumulation_steps) == 0):
self._apply_gradients()
(yield loss) |
@tf.function
def _apply_gradients(self):
'Applies the gradients (cross-replica).'
self.args.strategy.experimental_run_v2(self._step) | 4,978,387,428,092,544,000 | Applies the gradients (cross-replica). | src/transformers/trainer_tf.py | _apply_gradients | 52Pig/transformers | python | @tf.function
def _apply_gradients(self):
self.args.strategy.experimental_run_v2(self._step) |
def _step(self):
'Applies gradients and resets accumulation.'
gradient_scale = (self.gradient_accumulator.step * self.args.strategy.num_replicas_in_sync)
gradients = [(gradient / tf.cast(gradient_scale, gradient.dtype)) for gradient in self.gradient_accumulator.gradients]
gradients = [tf.clip_by_value(g... | 2,706,932,928,488,056,000 | Applies gradients and resets accumulation. | src/transformers/trainer_tf.py | _step | 52Pig/transformers | python | def _step(self):
gradient_scale = (self.gradient_accumulator.step * self.args.strategy.num_replicas_in_sync)
gradients = [(gradient / tf.cast(gradient_scale, gradient.dtype)) for gradient in self.gradient_accumulator.gradients]
gradients = [tf.clip_by_value(grad, (- self.args.max_grad_norm), self.args.... |
def _accumulate_next_gradients(self):
'Accumulates the gradients from the next element in dataset.'
iterator = iter(self.train_dataset)
@tf.function
def _accumulate_next():
(per_replica_features, per_replica_labels) = next(iterator)
return self._accumulate_gradients(per_replica_features... | 1,351,652,028,254,688,800 | Accumulates the gradients from the next element in dataset. | src/transformers/trainer_tf.py | _accumulate_next_gradients | 52Pig/transformers | python | def _accumulate_next_gradients(self):
iterator = iter(self.train_dataset)
@tf.function
def _accumulate_next():
(per_replica_features, per_replica_labels) = next(iterator)
return self._accumulate_gradients(per_replica_features, per_replica_labels)
while True:
try:
... |
def _accumulate_gradients(self, per_replica_features, per_replica_labels):
'Accumulates the gradients across all the replica.'
per_replica_loss = self.args.strategy.experimental_run_v2(self._forward, args=(per_replica_features, per_replica_labels))
try:
reduced_loss = self.args.strategy.reduce(tf.di... | 7,845,870,106,116,285,000 | Accumulates the gradients across all the replica. | src/transformers/trainer_tf.py | _accumulate_gradients | 52Pig/transformers | python | def _accumulate_gradients(self, per_replica_features, per_replica_labels):
per_replica_loss = self.args.strategy.experimental_run_v2(self._forward, args=(per_replica_features, per_replica_labels))
try:
reduced_loss = self.args.strategy.reduce(tf.distribute.ReduceOp.MEAN, per_replica_loss, axis=0)
... |
def _forward(self, features, labels):
'Forwards a training example and accumulates the gradients.'
(per_example_loss, _) = self._run_model(features, labels, True)
gradients = tf.gradients(per_example_loss, self.model.trainable_variables)
gradients = [(g if (g is not None) else tf.zeros_like(v)) for (g, ... | -3,476,753,415,646,999,600 | Forwards a training example and accumulates the gradients. | src/transformers/trainer_tf.py | _forward | 52Pig/transformers | python | def _forward(self, features, labels):
(per_example_loss, _) = self._run_model(features, labels, True)
gradients = tf.gradients(per_example_loss, self.model.trainable_variables)
gradients = [(g if (g is not None) else tf.zeros_like(v)) for (g, v) in zip(gradients, self.model.trainable_variables)]
se... |
def _run_model(self, features, labels, training):
'\n Computes the loss of the given features and labels pair.\n Args:\n features: the batched features.\n labels: the batched labels.\n training: run the model in training mode or not\n '
if ((self.args.mode == 'tex... | 5,053,817,438,389,986,000 | Computes the loss of the given features and labels pair.
Args:
features: the batched features.
labels: the batched labels.
training: run the model in training mode or not | src/transformers/trainer_tf.py | _run_model | 52Pig/transformers | python | def _run_model(self, features, labels, training):
'\n Computes the loss of the given features and labels pair.\n Args:\n features: the batched features.\n labels: the batched labels.\n training: run the model in training mode or not\n '
if ((self.args.mode == 'tex... |
def predict(self, test_dataset: tf.data.Dataset) -> PredictionOutput:
'\n Run prediction and return predictions and potential metrics.\n Depending on the dataset and your use case, your test dataset may contain labels.\n In that case, this method will also return metrics, like in evaluate().\n ... | 8,778,713,418,168,482,000 | Run prediction and return predictions and potential metrics.
Depending on the dataset and your use case, your test dataset may contain labels.
In that case, this method will also return metrics, like in evaluate().
Args:
test_dataset: something similar to a PT Dataset. This is just
temporary before to have a fram... | src/transformers/trainer_tf.py | predict | 52Pig/transformers | python | def predict(self, test_dataset: tf.data.Dataset) -> PredictionOutput:
'\n Run prediction and return predictions and potential metrics.\n Depending on the dataset and your use case, your test dataset may contain labels.\n In that case, this method will also return metrics, like in evaluate().\n ... |
def save_model(self) -> None:
'\n Save the pretrained model and create a Tensorflow saved model.\n '
logger.info('Saving model in {}'.format(self.args.output_dir))
path = os.path.join(self.args.output_dir, 'saved_model')
logger.info('Saving model in {}'.format(path))
os.makedirs(path, ... | -6,240,600,897,507,889,000 | Save the pretrained model and create a Tensorflow saved model. | src/transformers/trainer_tf.py | save_model | 52Pig/transformers | python | def save_model(self) -> None:
'\n \n '
logger.info('Saving model in {}'.format(self.args.output_dir))
path = os.path.join(self.args.output_dir, 'saved_model')
logger.info('Saving model in {}'.format(path))
os.makedirs(path, exist_ok=True)
self.model.save_pretrained(self.args.output... |
@property
def marker(self):
"\n The 'marker' property is an instance of Marker\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.unselected.Marker\n - A dict of string/value properties that will be passed\n to the Marker constructor\n \n ... | -4,245,806,239,186,361,300 | The 'marker' property is an instance of Marker
that may be specified as:
- An instance of plotly.graph_objs.scattergeo.unselected.Marker
- A dict of string/value properties that will be passed
to the Marker constructor
Supported dict properties:
color
Sets the marker color of u... | plotly/graph_objs/scattergeo/__init__.py | marker | Jonathan-MW/plotly.py | python | @property
def marker(self):
"\n The 'marker' property is an instance of Marker\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.unselected.Marker\n - A dict of string/value properties that will be passed\n to the Marker constructor\n \n ... |
@property
def textfont(self):
"\n The 'textfont' property is an instance of Textfont\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.unselected.Textfont\n - A dict of string/value properties that will be passed\n to the Textfont constructor\n ... | 8,917,031,519,796,172,000 | The 'textfont' property is an instance of Textfont
that may be specified as:
- An instance of plotly.graph_objs.scattergeo.unselected.Textfont
- A dict of string/value properties that will be passed
to the Textfont constructor
Supported dict properties:
color
Sets the text font... | plotly/graph_objs/scattergeo/__init__.py | textfont | Jonathan-MW/plotly.py | python | @property
def textfont(self):
"\n The 'textfont' property is an instance of Textfont\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.unselected.Textfont\n - A dict of string/value properties that will be passed\n to the Textfont constructor\n ... |
def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
'\n Construct a new Unselected object\n \n Parameters\n ----------\n arg\n dict of properties compatible with this constructor or\n an instance of plotly.graph_objs.scattergeo.Unselected\n ... | -6,556,748,513,909,606,000 | Construct a new Unselected object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.scattergeo.Unselected
marker
plotly.graph_objs.scattergeo.unselected.Marker instance
or dict with compatible properties
textfont
plotly.graph_objs.scat... | plotly/graph_objs/scattergeo/__init__.py | __init__ | Jonathan-MW/plotly.py | python | def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
'\n Construct a new Unselected object\n \n Parameters\n ----------\n arg\n dict of properties compatible with this constructor or\n an instance of plotly.graph_objs.scattergeo.Unselected\n ... |
@property
def color(self):
"\n The 'color' property is a color and may be specified as:\n - A hex string (e.g. '#ff0000')\n - An rgb/rgba string (e.g. 'rgb(255,0,0)')\n - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')\n - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')\n ... | -3,098,539,584,895,587,000 | The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
... | plotly/graph_objs/scattergeo/__init__.py | color | Jonathan-MW/plotly.py | python | @property
def color(self):
"\n The 'color' property is a color and may be specified as:\n - A hex string (e.g. '#ff0000')\n - An rgb/rgba string (e.g. 'rgb(255,0,0)')\n - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')\n - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')\n ... |
@property
def colorsrc(self):
"\n Sets the source reference on plot.ly for color .\n \n The 'colorsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['colorsrc'] | -4,192,673,473,912,421,000 | Sets the source reference on plot.ly for color .
The 'colorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | colorsrc | Jonathan-MW/plotly.py | python | @property
def colorsrc(self):
"\n Sets the source reference on plot.ly for color .\n \n The 'colorsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['colorsrc'] |
@property
def family(self):
'\n HTML font family - the typeface that will be applied by the web\n browser. The web browser will only be able to apply a font if\n it is available on the system which it operates. Provide\n multiple font families, separated by commas, to indicate the\n ... | -3,524,569,398,637,699,600 | HTML font family - the typeface that will be applied by the web
browser. The web browser will only be able to apply a font if
it is available on the system which it operates. Provide
multiple font families, separated by commas, to indicate the
preference in which to apply fonts if they aren't available on
the system. T... | plotly/graph_objs/scattergeo/__init__.py | family | Jonathan-MW/plotly.py | python | @property
def family(self):
'\n HTML font family - the typeface that will be applied by the web\n browser. The web browser will only be able to apply a font if\n it is available on the system which it operates. Provide\n multiple font families, separated by commas, to indicate the\n ... |
@property
def familysrc(self):
"\n Sets the source reference on plot.ly for family .\n \n The 'familysrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['familysrc'] | 4,272,517,766,265,763,300 | Sets the source reference on plot.ly for family .
The 'familysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | familysrc | Jonathan-MW/plotly.py | python | @property
def familysrc(self):
"\n Sets the source reference on plot.ly for family .\n \n The 'familysrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['familysrc'] |
@property
def size(self):
"\n The 'size' property is a number and may be specified as:\n - An int or float in the interval [1, inf]\n - A tuple, list, or one-dimensional numpy array of the above\n\n Returns\n -------\n int|float|numpy.ndarray\n "
return self[... | 6,887,128,696,685,480,000 | The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray | plotly/graph_objs/scattergeo/__init__.py | size | Jonathan-MW/plotly.py | python | @property
def size(self):
"\n The 'size' property is a number and may be specified as:\n - An int or float in the interval [1, inf]\n - A tuple, list, or one-dimensional numpy array of the above\n\n Returns\n -------\n int|float|numpy.ndarray\n "
return self[... |
@property
def sizesrc(self):
"\n Sets the source reference on plot.ly for size .\n \n The 'sizesrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['sizesrc'] | 8,585,030,508,644,112,000 | Sets the source reference on plot.ly for size .
The 'sizesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | sizesrc | Jonathan-MW/plotly.py | python | @property
def sizesrc(self):
"\n Sets the source reference on plot.ly for size .\n \n The 'sizesrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['sizesrc'] |
def __init__(self, arg=None, color=None, colorsrc=None, family=None, familysrc=None, size=None, sizesrc=None, **kwargs):
'\n Construct a new Textfont object\n \n Sets the text font.\n\n Parameters\n ----------\n arg\n dict of properties compatible with this const... | 5,437,240,896,516,272,000 | Construct a new Textfont object
Sets the text font.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.scattergeo.Textfont
color
colorsrc
Sets the source reference on plot.ly for color .
family
HTML font family - the typeface that will b... | plotly/graph_objs/scattergeo/__init__.py | __init__ | Jonathan-MW/plotly.py | python | def __init__(self, arg=None, color=None, colorsrc=None, family=None, familysrc=None, size=None, sizesrc=None, **kwargs):
'\n Construct a new Textfont object\n \n Sets the text font.\n\n Parameters\n ----------\n arg\n dict of properties compatible with this const... |
@property
def maxpoints(self):
"\n Sets the maximum number of points to keep on the plots from an\n incoming stream. If `maxpoints` is set to 50, only the newest\n 50 points will be displayed on the plot.\n \n The 'maxpoints' property is a number and may be specified as:\n - ... | 6,188,310,185,754,620,000 | Sets the maximum number of points to keep on the plots from an
incoming stream. If `maxpoints` is set to 50, only the newest
50 points will be displayed on the plot.
The 'maxpoints' property is a number and may be specified as:
- An int or float in the interval [0, 10000]
Returns
-------
int|float | plotly/graph_objs/scattergeo/__init__.py | maxpoints | Jonathan-MW/plotly.py | python | @property
def maxpoints(self):
"\n Sets the maximum number of points to keep on the plots from an\n incoming stream. If `maxpoints` is set to 50, only the newest\n 50 points will be displayed on the plot.\n \n The 'maxpoints' property is a number and may be specified as:\n - ... |
@property
def token(self):
"\n The stream id number links a data trace on a plot with a\n stream. See https://plot.ly/settings for more details.\n \n The 'token' property is a string and must be specified as:\n - A non-empty string\n\n Returns\n -------\n str\n ... | -6,778,178,393,472,647,000 | The stream id number links a data trace on a plot with a
stream. See https://plot.ly/settings for more details.
The 'token' property is a string and must be specified as:
- A non-empty string
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | token | Jonathan-MW/plotly.py | python | @property
def token(self):
"\n The stream id number links a data trace on a plot with a\n stream. See https://plot.ly/settings for more details.\n \n The 'token' property is a string and must be specified as:\n - A non-empty string\n\n Returns\n -------\n str\n ... |
def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
'\n Construct a new Stream object\n \n Parameters\n ----------\n arg\n dict of properties compatible with this constructor or\n an instance of plotly.graph_objs.scattergeo.Stream\n max... | 7,141,075,823,921,744,000 | Construct a new Stream object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.scattergeo.Stream
maxpoints
Sets the maximum number of points to keep on the plots
from an incoming stream. If `maxpoints` is set to 50,
only the newest 50... | plotly/graph_objs/scattergeo/__init__.py | __init__ | Jonathan-MW/plotly.py | python | def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
'\n Construct a new Stream object\n \n Parameters\n ----------\n arg\n dict of properties compatible with this constructor or\n an instance of plotly.graph_objs.scattergeo.Stream\n max... |
@property
def marker(self):
"\n The 'marker' property is an instance of Marker\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.selected.Marker\n - A dict of string/value properties that will be passed\n to the Marker constructor\n \n ... | 7,421,703,061,020,846,000 | The 'marker' property is an instance of Marker
that may be specified as:
- An instance of plotly.graph_objs.scattergeo.selected.Marker
- A dict of string/value properties that will be passed
to the Marker constructor
Supported dict properties:
color
Sets the marker color of sel... | plotly/graph_objs/scattergeo/__init__.py | marker | Jonathan-MW/plotly.py | python | @property
def marker(self):
"\n The 'marker' property is an instance of Marker\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.selected.Marker\n - A dict of string/value properties that will be passed\n to the Marker constructor\n \n ... |
@property
def textfont(self):
"\n The 'textfont' property is an instance of Textfont\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.selected.Textfont\n - A dict of string/value properties that will be passed\n to the Textfont constructor\n \... | 6,163,905,276,933,022,000 | The 'textfont' property is an instance of Textfont
that may be specified as:
- An instance of plotly.graph_objs.scattergeo.selected.Textfont
- A dict of string/value properties that will be passed
to the Textfont constructor
Supported dict properties:
color
Sets the text font c... | plotly/graph_objs/scattergeo/__init__.py | textfont | Jonathan-MW/plotly.py | python | @property
def textfont(self):
"\n The 'textfont' property is an instance of Textfont\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.selected.Textfont\n - A dict of string/value properties that will be passed\n to the Textfont constructor\n \... |
def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
'\n Construct a new Selected object\n \n Parameters\n ----------\n arg\n dict of properties compatible with this constructor or\n an instance of plotly.graph_objs.scattergeo.Selected\n ... | 189,164,675,801,328,930 | Construct a new Selected object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.scattergeo.Selected
marker
plotly.graph_objs.scattergeo.selected.Marker instance
or dict with compatible properties
textfont
plotly.graph_objs.scattergeo... | plotly/graph_objs/scattergeo/__init__.py | __init__ | Jonathan-MW/plotly.py | python | def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
'\n Construct a new Selected object\n \n Parameters\n ----------\n arg\n dict of properties compatible with this constructor or\n an instance of plotly.graph_objs.scattergeo.Selected\n ... |
@property
def autocolorscale(self):
"\n Determines whether the colorscale is a default palette\n (`autocolorscale: true`) or the palette determined by\n `marker.colorscale`. Has an effect only if in `marker.color`is\n set to a numerical array. In case `colorscale` is unspecified\n ... | 8,397,201,591,515,050,000 | Determines whether the colorscale is a default palette
(`autocolorscale: true`) or the palette determined by
`marker.colorscale`. Has an effect only if in `marker.color`is
set to a numerical array. In case `colorscale` is unspecified
or `autocolorscale` is true, the default palette will be
chosen according to whether ... | plotly/graph_objs/scattergeo/__init__.py | autocolorscale | Jonathan-MW/plotly.py | python | @property
def autocolorscale(self):
"\n Determines whether the colorscale is a default palette\n (`autocolorscale: true`) or the palette determined by\n `marker.colorscale`. Has an effect only if in `marker.color`is\n set to a numerical array. In case `colorscale` is unspecified\n ... |
@property
def cauto(self):
"\n Determines whether or not the color domain is computed with\n respect to the input data (here in `marker.color`) or the\n bounds set in `marker.cmin` and `marker.cmax` Has an effect\n only if in `marker.color`is set to a numerical array. Defaults\n ... | -7,671,358,552,002,983,000 | Determines whether or not the color domain is computed with
respect to the input data (here in `marker.color`) or the
bounds set in `marker.cmin` and `marker.cmax` Has an effect
only if in `marker.color`is set to a numerical array. Defaults
to `false` when `marker.cmin` and `marker.cmax` are set by the
user.
The 'cau... | plotly/graph_objs/scattergeo/__init__.py | cauto | Jonathan-MW/plotly.py | python | @property
def cauto(self):
"\n Determines whether or not the color domain is computed with\n respect to the input data (here in `marker.color`) or the\n bounds set in `marker.cmin` and `marker.cmax` Has an effect\n only if in `marker.color`is set to a numerical array. Defaults\n ... |
@property
def cmax(self):
"\n Sets the upper bound of the color domain. Has an effect only if\n in `marker.color`is set to a numerical array. Value should have\n the same units as in `marker.color` and if set, `marker.cmin`\n must be set as well.\n \n The 'cmax' property is a n... | 4,402,550,313,397,268,500 | Sets the upper bound of the color domain. Has an effect only if
in `marker.color`is set to a numerical array. Value should have
the same units as in `marker.color` and if set, `marker.cmin`
must be set as well.
The 'cmax' property is a number and may be specified as:
- An int or float
Returns
-------
int|float | plotly/graph_objs/scattergeo/__init__.py | cmax | Jonathan-MW/plotly.py | python | @property
def cmax(self):
"\n Sets the upper bound of the color domain. Has an effect only if\n in `marker.color`is set to a numerical array. Value should have\n the same units as in `marker.color` and if set, `marker.cmin`\n must be set as well.\n \n The 'cmax' property is a n... |
@property
def cmid(self):
"\n Sets the mid-point of the color domain by scaling `marker.cmin`\n and/or `marker.cmax` to be equidistant to this point. Has an\n effect only if in `marker.color`is set to a numerical array.\n Value should have the same units as in `marker.color`. Has no\n ... | -6,879,592,299,899,489,000 | Sets the mid-point of the color domain by scaling `marker.cmin`
and/or `marker.cmax` to be equidistant to this point. Has an
effect only if in `marker.color`is set to a numerical array.
Value should have the same units as in `marker.color`. Has no
effect when `marker.cauto` is `false`.
The 'cmid' property is a number ... | plotly/graph_objs/scattergeo/__init__.py | cmid | Jonathan-MW/plotly.py | python | @property
def cmid(self):
"\n Sets the mid-point of the color domain by scaling `marker.cmin`\n and/or `marker.cmax` to be equidistant to this point. Has an\n effect only if in `marker.color`is set to a numerical array.\n Value should have the same units as in `marker.color`. Has no\n ... |
@property
def cmin(self):
"\n Sets the lower bound of the color domain. Has an effect only if\n in `marker.color`is set to a numerical array. Value should have\n the same units as in `marker.color` and if set, `marker.cmax`\n must be set as well.\n \n The 'cmin' property is a n... | 7,058,444,409,272,556,000 | Sets the lower bound of the color domain. Has an effect only if
in `marker.color`is set to a numerical array. Value should have
the same units as in `marker.color` and if set, `marker.cmax`
must be set as well.
The 'cmin' property is a number and may be specified as:
- An int or float
Returns
-------
int|float | plotly/graph_objs/scattergeo/__init__.py | cmin | Jonathan-MW/plotly.py | python | @property
def cmin(self):
"\n Sets the lower bound of the color domain. Has an effect only if\n in `marker.color`is set to a numerical array. Value should have\n the same units as in `marker.color` and if set, `marker.cmax`\n must be set as well.\n \n The 'cmin' property is a n... |
@property
def color(self):
"\n Sets themarkercolor. It accepts either a specific color or an\n array of numbers that are mapped to the colorscale relative to\n the max and min values of the array or relative to\n `marker.cmin` and `marker.cmax` if set.\n \n The 'color' property... | -4,519,384,853,487,422,500 | Sets themarkercolor. It accepts either a specific color or an
array of numbers that are mapped to the colorscale relative to
the max and min values of the array or relative to
`marker.cmin` and `marker.cmax` if set.
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/r... | plotly/graph_objs/scattergeo/__init__.py | color | Jonathan-MW/plotly.py | python | @property
def color(self):
"\n Sets themarkercolor. It accepts either a specific color or an\n array of numbers that are mapped to the colorscale relative to\n the max and min values of the array or relative to\n `marker.cmin` and `marker.cmax` if set.\n \n The 'color' property... |
@property
def coloraxis(self):
'\n Sets a reference to a shared color axis. References to these\n shared color axes are "coloraxis", "coloraxis2", "coloraxis3",\n etc. Settings for these shared color axes are set in the\n layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.\n ... | 1,167,068,444,940,009,200 | Sets a reference to a shared color axis. References to these
shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
etc. Settings for these shared color axes are set in the
layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
Note that multiple color scales can be linked to the same color
axis.
The 'col... | plotly/graph_objs/scattergeo/__init__.py | coloraxis | Jonathan-MW/plotly.py | python | @property
def coloraxis(self):
'\n Sets a reference to a shared color axis. References to these\n shared color axes are "coloraxis", "coloraxis2", "coloraxis3",\n etc. Settings for these shared color axes are set in the\n layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.\n ... |
@property
def colorbar(self):
'\n The \'colorbar\' property is an instance of ColorBar\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.marker.ColorBar\n - A dict of string/value properties that will be passed\n to the ColorBar constructor\n \... | -2,189,857,872,392,623,900 | The 'colorbar' property is an instance of ColorBar
that may be specified as:
- An instance of plotly.graph_objs.scattergeo.marker.ColorBar
- A dict of string/value properties that will be passed
to the ColorBar constructor
Supported dict properties:
bgcolor
Sets the color of pa... | plotly/graph_objs/scattergeo/__init__.py | colorbar | Jonathan-MW/plotly.py | python | @property
def colorbar(self):
'\n The \'colorbar\' property is an instance of ColorBar\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.marker.ColorBar\n - A dict of string/value properties that will be passed\n to the ColorBar constructor\n \... |
@property
def colorscale(self):
"\n Sets the colorscale. Has an effect only if in `marker.color`is\n set to a numerical array. The colorscale must be an array\n containing arrays mapping a normalized value to an rgb, rgba,\n hex, hsl, hsv, or named color string. At minimum, a mapping for... | -9,149,784,613,847,466,000 | Sets the colorscale. Has an effect only if in `marker.color`is
set to a numerical array. The colorscale must be an array
containing arrays mapping a normalized value to an rgb, rgba,
hex, hsl, hsv, or named color string. At minimum, a mapping for
the lowest (0) and highest (1) values are required. For
example, `[[0, 'r... | plotly/graph_objs/scattergeo/__init__.py | colorscale | Jonathan-MW/plotly.py | python | @property
def colorscale(self):
"\n Sets the colorscale. Has an effect only if in `marker.color`is\n set to a numerical array. The colorscale must be an array\n containing arrays mapping a normalized value to an rgb, rgba,\n hex, hsl, hsv, or named color string. At minimum, a mapping for... |
@property
def colorsrc(self):
"\n Sets the source reference on plot.ly for color .\n \n The 'colorsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['colorsrc'] | -4,192,673,473,912,421,000 | Sets the source reference on plot.ly for color .
The 'colorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | colorsrc | Jonathan-MW/plotly.py | python | @property
def colorsrc(self):
"\n Sets the source reference on plot.ly for color .\n \n The 'colorsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['colorsrc'] |
@property
def gradient(self):
"\n The 'gradient' property is an instance of Gradient\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.marker.Gradient\n - A dict of string/value properties that will be passed\n to the Gradient constructor\n \n ... | 1,551,385,271,055,478,300 | The 'gradient' property is an instance of Gradient
that may be specified as:
- An instance of plotly.graph_objs.scattergeo.marker.Gradient
- A dict of string/value properties that will be passed
to the Gradient constructor
Supported dict properties:
color
Sets the final color o... | plotly/graph_objs/scattergeo/__init__.py | gradient | Jonathan-MW/plotly.py | python | @property
def gradient(self):
"\n The 'gradient' property is an instance of Gradient\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.marker.Gradient\n - A dict of string/value properties that will be passed\n to the Gradient constructor\n \n ... |
@property
def line(self):
'\n The \'line\' property is an instance of Line\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.marker.Line\n - A dict of string/value properties that will be passed\n to the Line constructor\n \n Support... | 3,960,754,651,705,854,500 | The 'line' property is an instance of Line
that may be specified as:
- An instance of plotly.graph_objs.scattergeo.marker.Line
- A dict of string/value properties that will be passed
to the Line constructor
Supported dict properties:
autocolorscale
Determines whether the colors... | plotly/graph_objs/scattergeo/__init__.py | line | Jonathan-MW/plotly.py | python | @property
def line(self):
'\n The \'line\' property is an instance of Line\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.marker.Line\n - A dict of string/value properties that will be passed\n to the Line constructor\n \n Support... |
@property
def opacity(self):
"\n Sets the marker opacity.\n \n The 'opacity' property is a number and may be specified as:\n - An int or float in the interval [0, 1]\n - A tuple, list, or one-dimensional numpy array of the above\n\n Returns\n -------\n int|flo... | -2,368,020,270,502,072,000 | Sets the marker opacity.
The 'opacity' property is a number and may be specified as:
- An int or float in the interval [0, 1]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray | plotly/graph_objs/scattergeo/__init__.py | opacity | Jonathan-MW/plotly.py | python | @property
def opacity(self):
"\n Sets the marker opacity.\n \n The 'opacity' property is a number and may be specified as:\n - An int or float in the interval [0, 1]\n - A tuple, list, or one-dimensional numpy array of the above\n\n Returns\n -------\n int|flo... |
@property
def opacitysrc(self):
"\n Sets the source reference on plot.ly for opacity .\n \n The 'opacitysrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['opacitysrc'] | 2,076,524,803,020,138,800 | Sets the source reference on plot.ly for opacity .
The 'opacitysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | opacitysrc | Jonathan-MW/plotly.py | python | @property
def opacitysrc(self):
"\n Sets the source reference on plot.ly for opacity .\n \n The 'opacitysrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['opacitysrc'] |
@property
def reversescale(self):
"\n Reverses the color mapping if true. Has an effect only if in\n `marker.color`is set to a numerical array. If true,\n `marker.cmin` will correspond to the last color in the array\n and `marker.cmax` will correspond to the first color.\n \n T... | 6,328,202,226,544,627,000 | Reverses the color mapping if true. Has an effect only if in
`marker.color`is set to a numerical array. If true,
`marker.cmin` will correspond to the last color in the array
and `marker.cmax` will correspond to the first color.
The 'reversescale' property must be specified as a bool
(either True, or False)
Returns
--... | plotly/graph_objs/scattergeo/__init__.py | reversescale | Jonathan-MW/plotly.py | python | @property
def reversescale(self):
"\n Reverses the color mapping if true. Has an effect only if in\n `marker.color`is set to a numerical array. If true,\n `marker.cmin` will correspond to the last color in the array\n and `marker.cmax` will correspond to the first color.\n \n T... |
@property
def showscale(self):
"\n Determines whether or not a colorbar is displayed for this\n trace. Has an effect only if in `marker.color`is set to a\n numerical array.\n \n The 'showscale' property must be specified as a bool\n (either True, or False)\n\n Returns\n ... | 3,057,608,871,260,698,600 | Determines whether or not a colorbar is displayed for this
trace. Has an effect only if in `marker.color`is set to a
numerical array.
The 'showscale' property must be specified as a bool
(either True, or False)
Returns
-------
bool | plotly/graph_objs/scattergeo/__init__.py | showscale | Jonathan-MW/plotly.py | python | @property
def showscale(self):
"\n Determines whether or not a colorbar is displayed for this\n trace. Has an effect only if in `marker.color`is set to a\n numerical array.\n \n The 'showscale' property must be specified as a bool\n (either True, or False)\n\n Returns\n ... |
@property
def size(self):
"\n Sets the marker size (in px).\n \n The 'size' property is a number and may be specified as:\n - An int or float in the interval [0, inf]\n - A tuple, list, or one-dimensional numpy array of the above\n\n Returns\n -------\n int|fl... | 4,148,300,277,957,588,500 | Sets the marker size (in px).
The 'size' property is a number and may be specified as:
- An int or float in the interval [0, inf]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray | plotly/graph_objs/scattergeo/__init__.py | size | Jonathan-MW/plotly.py | python | @property
def size(self):
"\n Sets the marker size (in px).\n \n The 'size' property is a number and may be specified as:\n - An int or float in the interval [0, inf]\n - A tuple, list, or one-dimensional numpy array of the above\n\n Returns\n -------\n int|fl... |
@property
def sizemin(self):
"\n Has an effect only if `marker.size` is set to a numerical\n array. Sets the minimum size (in px) of the rendered marker\n points.\n \n The 'sizemin' property is a number and may be specified as:\n - An int or float in the interval [0, inf]\n\n... | 7,459,494,275,914,576,000 | Has an effect only if `marker.size` is set to a numerical
array. Sets the minimum size (in px) of the rendered marker
points.
The 'sizemin' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | plotly/graph_objs/scattergeo/__init__.py | sizemin | Jonathan-MW/plotly.py | python | @property
def sizemin(self):
"\n Has an effect only if `marker.size` is set to a numerical\n array. Sets the minimum size (in px) of the rendered marker\n points.\n \n The 'sizemin' property is a number and may be specified as:\n - An int or float in the interval [0, inf]\n\n... |
@property
def sizemode(self):
"\n Has an effect only if `marker.size` is set to a numerical\n array. Sets the rule for which the data in `size` is converted\n to pixels.\n \n The 'sizemode' property is an enumeration that may be specified as:\n - One of the following enumerat... | 2,682,637,820,718,035,500 | Has an effect only if `marker.size` is set to a numerical
array. Sets the rule for which the data in `size` is converted
to pixels.
The 'sizemode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['diameter', 'area']
Returns
-------
Any | plotly/graph_objs/scattergeo/__init__.py | sizemode | Jonathan-MW/plotly.py | python | @property
def sizemode(self):
"\n Has an effect only if `marker.size` is set to a numerical\n array. Sets the rule for which the data in `size` is converted\n to pixels.\n \n The 'sizemode' property is an enumeration that may be specified as:\n - One of the following enumerat... |
@property
def sizeref(self):
"\n Has an effect only if `marker.size` is set to a numerical\n array. Sets the scale factor used to determine the rendered\n size of marker points. Use with `sizemin` and `sizemode`.\n \n The 'sizeref' property is a number and may be specified as:\n ... | -7,085,534,774,129,704,000 | Has an effect only if `marker.size` is set to a numerical
array. Sets the scale factor used to determine the rendered
size of marker points. Use with `sizemin` and `sizemode`.
The 'sizeref' property is a number and may be specified as:
- An int or float
Returns
-------
int|float | plotly/graph_objs/scattergeo/__init__.py | sizeref | Jonathan-MW/plotly.py | python | @property
def sizeref(self):
"\n Has an effect only if `marker.size` is set to a numerical\n array. Sets the scale factor used to determine the rendered\n size of marker points. Use with `sizemin` and `sizemode`.\n \n The 'sizeref' property is a number and may be specified as:\n ... |
@property
def sizesrc(self):
"\n Sets the source reference on plot.ly for size .\n \n The 'sizesrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['sizesrc'] | 8,585,030,508,644,112,000 | Sets the source reference on plot.ly for size .
The 'sizesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | sizesrc | Jonathan-MW/plotly.py | python | @property
def sizesrc(self):
"\n Sets the source reference on plot.ly for size .\n \n The 'sizesrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['sizesrc'] |
@property
def symbol(self):
'\n Sets the marker symbol type. Adding 100 is equivalent to\n appending "-open" to a symbol name. Adding 200 is equivalent to\n appending "-dot" to a symbol name. Adding 300 is equivalent to\n appending "-open-dot" or "dot-open" to a symbol name.\n \n ... | 4,035,250,182,230,725,000 | Sets the marker symbol type. Adding 100 is equivalent to
appending "-open" to a symbol name. Adding 200 is equivalent to
appending "-dot" to a symbol name. Adding 300 is equivalent to
appending "-open-dot" or "dot-open" to a symbol name.
The 'symbol' property is an enumeration that may be specified as:
- One of the ... | plotly/graph_objs/scattergeo/__init__.py | symbol | Jonathan-MW/plotly.py | python | @property
def symbol(self):
'\n Sets the marker symbol type. Adding 100 is equivalent to\n appending "-open" to a symbol name. Adding 200 is equivalent to\n appending "-dot" to a symbol name. Adding 300 is equivalent to\n appending "-open-dot" or "dot-open" to a symbol name.\n \n ... |
@property
def symbolsrc(self):
"\n Sets the source reference on plot.ly for symbol .\n \n The 'symbolsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['symbolsrc'] | -6,024,676,400,931,487,000 | Sets the source reference on plot.ly for symbol .
The 'symbolsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | symbolsrc | Jonathan-MW/plotly.py | python | @property
def symbolsrc(self):
"\n Sets the source reference on plot.ly for symbol .\n \n The 'symbolsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['symbolsrc'] |
def __init__(self, arg=None, autocolorscale=None, cauto=None, cmax=None, cmid=None, cmin=None, color=None, coloraxis=None, colorbar=None, colorscale=None, colorsrc=None, gradient=None, line=None, opacity=None, opacitysrc=None, reversescale=None, showscale=None, size=None, sizemin=None, sizemode=None, sizeref=None, size... | -4,541,378,795,674,928,000 | Construct a new Marker object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.scattergeo.Marker
autocolorscale
Determines whether the colorscale is a default palette
(`autocolorscale: true`) or the palette determined by
`marker.color... | plotly/graph_objs/scattergeo/__init__.py | __init__ | Jonathan-MW/plotly.py | python | def __init__(self, arg=None, autocolorscale=None, cauto=None, cmax=None, cmid=None, cmin=None, color=None, coloraxis=None, colorbar=None, colorscale=None, colorsrc=None, gradient=None, line=None, opacity=None, opacitysrc=None, reversescale=None, showscale=None, size=None, sizemin=None, sizemode=None, sizeref=None, size... |
@property
def color(self):
"\n Sets the line color.\n \n The 'color' property is a color and may be specified as:\n - A hex string (e.g. '#ff0000')\n - An rgb/rgba string (e.g. 'rgb(255,0,0)')\n - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')\n - An hsv/hsva string... | -4,622,030,073,859,431,000 | Sets the line color.
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aqu... | plotly/graph_objs/scattergeo/__init__.py | color | Jonathan-MW/plotly.py | python | @property
def color(self):
"\n Sets the line color.\n \n The 'color' property is a color and may be specified as:\n - A hex string (e.g. '#ff0000')\n - An rgb/rgba string (e.g. 'rgb(255,0,0)')\n - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')\n - An hsv/hsva string... |
@property
def dash(self):
'\n Sets the dash style of lines. Set to a dash type string\n ("solid", "dot", "dash", "longdash", "dashdot", or\n "longdashdot") or a dash length list in px (eg\n "5px,10px,2px,2px").\n \n The \'dash\' property is an enumeration that may be specified ... | -7,424,793,383,219,417,000 | Sets the dash style of lines. Set to a dash type string
("solid", "dot", "dash", "longdash", "dashdot", or
"longdashdot") or a dash length list in px (eg
"5px,10px,2px,2px").
The 'dash' property is an enumeration that may be specified as:
- One of the following dash styles:
['solid', 'dot', 'dash', 'longdash... | plotly/graph_objs/scattergeo/__init__.py | dash | Jonathan-MW/plotly.py | python | @property
def dash(self):
'\n Sets the dash style of lines. Set to a dash type string\n ("solid", "dot", "dash", "longdash", "dashdot", or\n "longdashdot") or a dash length list in px (eg\n "5px,10px,2px,2px").\n \n The \'dash\' property is an enumeration that may be specified ... |
@property
def width(self):
"\n Sets the line width (in px).\n \n The 'width' property is a number and may be specified as:\n - An int or float in the interval [0, inf]\n\n Returns\n -------\n int|float\n "
return self['width'] | -1,699,504,145,934,547,700 | Sets the line width (in px).
The 'width' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | plotly/graph_objs/scattergeo/__init__.py | width | Jonathan-MW/plotly.py | python | @property
def width(self):
"\n Sets the line width (in px).\n \n The 'width' property is a number and may be specified as:\n - An int or float in the interval [0, inf]\n\n Returns\n -------\n int|float\n "
return self['width'] |
def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
'\n Construct a new Line object\n \n Parameters\n ----------\n arg\n dict of properties compatible with this constructor or\n an instance of plotly.graph_objs.scattergeo.Line\n ... | 8,805,425,881,314,854,000 | Construct a new Line object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.scattergeo.Line
color
Sets the line color.
dash
Sets the dash style of lines. Set to a dash type string
("solid", "dot", "dash", "longdash", "dashdot", or
... | plotly/graph_objs/scattergeo/__init__.py | __init__ | Jonathan-MW/plotly.py | python | def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
'\n Construct a new Line object\n \n Parameters\n ----------\n arg\n dict of properties compatible with this constructor or\n an instance of plotly.graph_objs.scattergeo.Line\n ... |
@property
def align(self):
"\n Sets the horizontal alignment of the text content within hover\n label box. Has an effect only if the hover label text spans\n more two or more lines\n \n The 'align' property is an enumeration that may be specified as:\n - One of the following ... | -7,126,462,146,178,984,000 | Sets the horizontal alignment of the text content within hover
label box. Has an effect only if the hover label text spans
more two or more lines
The 'align' property is an enumeration that may be specified as:
- One of the following enumeration values:
['left', 'right', 'auto']
- A tuple, list, or one-dim... | plotly/graph_objs/scattergeo/__init__.py | align | Jonathan-MW/plotly.py | python | @property
def align(self):
"\n Sets the horizontal alignment of the text content within hover\n label box. Has an effect only if the hover label text spans\n more two or more lines\n \n The 'align' property is an enumeration that may be specified as:\n - One of the following ... |
@property
def alignsrc(self):
"\n Sets the source reference on plot.ly for align .\n \n The 'alignsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['alignsrc'] | 3,193,618,158,748,979,700 | Sets the source reference on plot.ly for align .
The 'alignsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | alignsrc | Jonathan-MW/plotly.py | python | @property
def alignsrc(self):
"\n Sets the source reference on plot.ly for align .\n \n The 'alignsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['alignsrc'] |
@property
def bgcolor(self):
"\n Sets the background color of the hover labels for this trace\n \n The 'bgcolor' property is a color and may be specified as:\n - A hex string (e.g. '#ff0000')\n - An rgb/rgba string (e.g. 'rgb(255,0,0)')\n - An hsl/hsla string (e.g. 'hsl(0... | -5,479,036,764,658,648,000 | Sets the background color of the hover labels for this trace
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
... | plotly/graph_objs/scattergeo/__init__.py | bgcolor | Jonathan-MW/plotly.py | python | @property
def bgcolor(self):
"\n Sets the background color of the hover labels for this trace\n \n The 'bgcolor' property is a color and may be specified as:\n - A hex string (e.g. '#ff0000')\n - An rgb/rgba string (e.g. 'rgb(255,0,0)')\n - An hsl/hsla string (e.g. 'hsl(0... |
@property
def bgcolorsrc(self):
"\n Sets the source reference on plot.ly for bgcolor .\n \n The 'bgcolorsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['bgcolorsrc'] | 1,430,722,777,616,976,100 | Sets the source reference on plot.ly for bgcolor .
The 'bgcolorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | bgcolorsrc | Jonathan-MW/plotly.py | python | @property
def bgcolorsrc(self):
"\n Sets the source reference on plot.ly for bgcolor .\n \n The 'bgcolorsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['bgcolorsrc'] |
@property
def bordercolor(self):
"\n Sets the border color of the hover labels for this trace.\n \n The 'bordercolor' property is a color and may be specified as:\n - A hex string (e.g. '#ff0000')\n - An rgb/rgba string (e.g. 'rgb(255,0,0)')\n - An hsl/hsla string (e.g. '... | -6,449,970,727,678,226,000 | Sets the border color of the hover labels for this trace.
The 'bordercolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:... | plotly/graph_objs/scattergeo/__init__.py | bordercolor | Jonathan-MW/plotly.py | python | @property
def bordercolor(self):
"\n Sets the border color of the hover labels for this trace.\n \n The 'bordercolor' property is a color and may be specified as:\n - A hex string (e.g. '#ff0000')\n - An rgb/rgba string (e.g. 'rgb(255,0,0)')\n - An hsl/hsla string (e.g. '... |
@property
def bordercolorsrc(self):
"\n Sets the source reference on plot.ly for bordercolor .\n \n The 'bordercolorsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['bordercolorsr... | 7,110,519,896,490,883,000 | Sets the source reference on plot.ly for bordercolor .
The 'bordercolorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | bordercolorsrc | Jonathan-MW/plotly.py | python | @property
def bordercolorsrc(self):
"\n Sets the source reference on plot.ly for bordercolor .\n \n The 'bordercolorsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['bordercolorsr... |
@property
def font(self):
'\n Sets the font used in hover labels.\n \n The \'font\' property is an instance of Font\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.hoverlabel.Font\n - A dict of string/value properties that will be passed\n ... | -3,951,941,290,926,129,700 | Sets the font used in hover labels.
The 'font' property is an instance of Font
that may be specified as:
- An instance of plotly.graph_objs.scattergeo.hoverlabel.Font
- A dict of string/value properties that will be passed
to the Font constructor
Supported dict properties:
color
... | plotly/graph_objs/scattergeo/__init__.py | font | Jonathan-MW/plotly.py | python | @property
def font(self):
'\n Sets the font used in hover labels.\n \n The \'font\' property is an instance of Font\n that may be specified as:\n - An instance of plotly.graph_objs.scattergeo.hoverlabel.Font\n - A dict of string/value properties that will be passed\n ... |
@property
def namelength(self):
"\n Sets the default length (in number of characters) of the trace\n name in the hover labels for all traces. -1 shows the whole\n name regardless of length. 0-3 shows the first 0-3 characters,\n and an integer >3 will show the whole name if it is less tha... | 2,082,155,897,422,349,300 | Sets the default length (in number of characters) of the trace
name in the hover labels for all traces. -1 shows the whole
name regardless of length. 0-3 shows the first 0-3 characters,
and an integer >3 will show the whole name if it is less than
that many characters, but if it is longer, will truncate to
`namelength ... | plotly/graph_objs/scattergeo/__init__.py | namelength | Jonathan-MW/plotly.py | python | @property
def namelength(self):
"\n Sets the default length (in number of characters) of the trace\n name in the hover labels for all traces. -1 shows the whole\n name regardless of length. 0-3 shows the first 0-3 characters,\n and an integer >3 will show the whole name if it is less tha... |
@property
def namelengthsrc(self):
"\n Sets the source reference on plot.ly for namelength .\n \n The 'namelengthsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['namelengthsrc'] | 4,919,275,048,233,846,000 | Sets the source reference on plot.ly for namelength .
The 'namelengthsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | plotly/graph_objs/scattergeo/__init__.py | namelengthsrc | Jonathan-MW/plotly.py | python | @property
def namelengthsrc(self):
"\n Sets the source reference on plot.ly for namelength .\n \n The 'namelengthsrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n "
return self['namelengthsrc'] |
def __init__(self, arg=None, align=None, alignsrc=None, bgcolor=None, bgcolorsrc=None, bordercolor=None, bordercolorsrc=None, font=None, namelength=None, namelengthsrc=None, **kwargs):
'\n Construct a new Hoverlabel object\n \n Parameters\n ----------\n arg\n dict of pr... | -8,548,297,225,215,319,000 | Construct a new Hoverlabel object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.scattergeo.Hoverlabel
align
Sets the horizontal alignment of the text content
within hover label box. Has an effect only if the hover
label text spans ... | plotly/graph_objs/scattergeo/__init__.py | __init__ | Jonathan-MW/plotly.py | python | def __init__(self, arg=None, align=None, alignsrc=None, bgcolor=None, bgcolorsrc=None, bordercolor=None, bordercolorsrc=None, font=None, namelength=None, namelengthsrc=None, **kwargs):
'\n Construct a new Hoverlabel object\n \n Parameters\n ----------\n arg\n dict of pr... |
def log(action, *args, **kw):
'\n e.g. amo.log(amo.LOG.CREATE_ADDON, []),\n amo.log(amo.LOG.ADD_FILE_TO_VERSION, file, version)\n '
from amo import get_user, logger_log
from mkt.developers.models import ActivityLog, ActivityLogAttachment, AppLog, CommentLog, GroupLog, UserLog, VersionLog
f... | -3,370,312,568,555,220,500 | e.g. amo.log(amo.LOG.CREATE_ADDON, []),
amo.log(amo.LOG.ADD_FILE_TO_VERSION, file, version) | apps/amo/log.py | log | muffinresearch/zamboni | python | def log(action, *args, **kw):
'\n e.g. amo.log(amo.LOG.CREATE_ADDON, []),\n amo.log(amo.LOG.ADD_FILE_TO_VERSION, file, version)\n '
from amo import get_user, logger_log
from mkt.developers.models import ActivityLog, ActivityLogAttachment, AppLog, CommentLog, GroupLog, UserLog, VersionLog
f... |
def getTestMethod(vb):
'Create a test method'
def testMethod(self):
try:
buildParseTree(vb, dialect='vb.net')
except VBParserError:
raise Exception(('Unable to parse ...\n%s' % vb))
return testMethod | 6,359,892,563,676,321,000 | Create a test method | vb2py/test/testdotnet.py | getTestMethod | ceprio/xl_vb2py | python | def getTestMethod(vb):
def testMethod(self):
try:
buildParseTree(vb, dialect='vb.net')
except VBParserError:
raise Exception(('Unable to parse ...\n%s' % vb))
return testMethod |
def find_tmc_devices(vendor=None, product=None, serial_number=None, custom_match=None, **kwargs):
'Find connected USBTMC devices. See usbutil.find_devices for more info.\n\n '
def is_usbtmc(dev):
if (custom_match and (not custom_match(dev))):
return False
return bool(find_interfa... | -3,050,417,852,705,620,000 | Find connected USBTMC devices. See usbutil.find_devices for more info. | pyvisa-py/protocols/usbtmc.py | find_tmc_devices | circuitfox/pyvisa-py | python | def find_tmc_devices(vendor=None, product=None, serial_number=None, custom_match=None, **kwargs):
'\n\n '
def is_usbtmc(dev):
if (custom_match and (not custom_match(dev))):
return False
return bool(find_interfaces(dev, bInterfaceClass=254, bInterfaceSubClass=3))
return find_d... |
@classmethod
def from_quirky(cls, data):
'Constructs a correct response for quirky devices'
(msgid, btag, btaginverse) = struct.unpack_from('BBBx', data)
data = data.rstrip(b'\x00')
if (';' in str(data)):
(transfer_size, transfer_attributes) = struct.unpack_from('<LBxxx', data, 4)
data =... | -6,306,606,062,144,896,000 | Constructs a correct response for quirky devices | pyvisa-py/protocols/usbtmc.py | from_quirky | circuitfox/pyvisa-py | python | @classmethod
def from_quirky(cls, data):
(msgid, btag, btaginverse) = struct.unpack_from('BBBx', data)
data = data.rstrip(b'\x00')
if (';' in str(data)):
(transfer_size, transfer_attributes) = struct.unpack_from('<LBxxx', data, 4)
data = data[12:]
else:
transfer_size = 0
... |
@staticmethod
def build_array(btag, transfer_size, term_char=None):
'\n\n :param transfer_size:\n :param btag:\n :param term_char:\n :return:\n '
if (term_char is None):
transfer_attributes = 0
term_char = 0
else:
transfer_attributes = 2
return ... | 6,151,967,743,317,589,000 | :param transfer_size:
:param btag:
:param term_char:
:return: | pyvisa-py/protocols/usbtmc.py | build_array | circuitfox/pyvisa-py | python | @staticmethod
def build_array(btag, transfer_size, term_char=None):
'\n\n :param transfer_size:\n :param btag:\n :param term_char:\n :return:\n '
if (term_char is None):
transfer_attributes = 0
term_char = 0
else:
transfer_attributes = 2
return ... |
def write(self, data):
'Send raw bytes to the instrument.\n\n :param data: bytes to be sent to the instrument\n :type data: bytes\n '
try:
return self.usb_send_ep.write(data)
except usb.core.USBError as e:
raise ValueError(str(e)) | 5,437,309,802,308,429,000 | Send raw bytes to the instrument.
:param data: bytes to be sent to the instrument
:type data: bytes | pyvisa-py/protocols/usbtmc.py | write | circuitfox/pyvisa-py | python | def write(self, data):
'Send raw bytes to the instrument.\n\n :param data: bytes to be sent to the instrument\n :type data: bytes\n '
try:
return self.usb_send_ep.write(data)
except usb.core.USBError as e:
raise ValueError(str(e)) |
def read(self, size):
'Receive raw bytes to the instrument.\n\n :param size: number of bytes to receive\n :return: received bytes\n :return type: bytes\n '
if (size <= 0):
size = 1
data = array_to_bytes(self.usb_recv_ep.read(size, self.timeout))
return data | 6,909,853,885,350,742,000 | Receive raw bytes to the instrument.
:param size: number of bytes to receive
:return: received bytes
:return type: bytes | pyvisa-py/protocols/usbtmc.py | read | circuitfox/pyvisa-py | python | def read(self, size):
'Receive raw bytes to the instrument.\n\n :param size: number of bytes to receive\n :return: received bytes\n :return type: bytes\n '
if (size <= 0):
size = 1
data = array_to_bytes(self.usb_recv_ep.read(size, self.timeout))
return data |
def _abort_bulk_in(self, btag):
'Request that the device abort a pending Bulk-IN operation.'
abort_timeout_ms = 5000
data = self.usb_dev.ctrl_transfer(usb.util.build_request_type(usb.util.CTRL_IN, usb.util.CTRL_TYPE_CLASS, usb.util.CTRL_RECIPIENT_ENDPOINT), Request.initiate_abort_bulk_in, btag, self.usb_rec... | -9,008,425,439,862,839,000 | Request that the device abort a pending Bulk-IN operation. | pyvisa-py/protocols/usbtmc.py | _abort_bulk_in | circuitfox/pyvisa-py | python | def _abort_bulk_in(self, btag):
abort_timeout_ms = 5000
data = self.usb_dev.ctrl_transfer(usb.util.build_request_type(usb.util.CTRL_IN, usb.util.CTRL_TYPE_CLASS, usb.util.CTRL_RECIPIENT_ENDPOINT), Request.initiate_abort_bulk_in, btag, self.usb_recv_ep.bEndpointAddress, 2, timeout=abort_timeout_ms)
if (... |
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