after_merge stringlengths 28 79.6k | before_merge stringlengths 20 79.6k | url stringlengths 38 71 | full_traceback stringlengths 43 922k | traceback_type stringclasses 555
values |
|---|---|---|---|---|
def _create_dag_runs(self, dag_models: Iterable[DagModel], session: Session) -> None:
"""
Unconditionally create a DAG run for the given DAG, and update the dag_model's fields to control
if/when the next DAGRun should be created
"""
# Bulk Fetch DagRuns with dag_id and execution_date same
# as D... | def _create_dag_runs(self, dag_models: Iterable[DagModel], session: Session) -> None:
"""
Unconditionally create a DAG run for the given DAG, and update the dag_model's fields to control
if/when the next DAGRun should be created
"""
for dag_model in dag_models:
try:
dag = self.da... | https://github.com/apache/airflow/issues/13685 | {2021-01-15 09:06:22,636} {{scheduler_job.py:1293}} ERROR - Exception when executing SchedulerJob._run_scheduler_loop
Traceback (most recent call last):
File "/home/app/.pyenv/versions/3.8.1/envs/airflow-py381/lib/python3.8/site-packages/sqlalchemy/engine/base.py", line 1276, in _execute_context
self.dialect.do_execute... | MySQLdb._exceptions.IntegrityError |
def upgrade(): # noqa: D103
# We previously had a KnownEvent's table, but we deleted the table without
# a down migration to remove it (so we didn't delete anyone's data if they
# were happing to use the feature.
#
# But before we can delete the users table we need to drop the FK
conn = op.get... | def upgrade(): # noqa: D103
# We previously had a KnownEvent's table, but we deleted the table without
# a down migration to remove it (so we didn't delete anyone's data if they
# were happing to use the feature.
#
# But before we can delete the users table we need to drop the FK
conn = op.get... | https://github.com/apache/airflow/issues/13877 | [2021-01-24 08:38:42,015] {db.py:678} INFO - Creating tables
INFO [alembic.runtime.migration] Context impl SQLiteImpl.
INFO [alembic.runtime.migration] Will assume non-transactional DDL.
INFO [alembic.runtime.migration] Running upgrade 03afc6b6f902 -> cf5dc11e79ad, drop_user_and_chart
Traceback (most recent call las... | NotImplementedError |
def __init__(
self,
*,
trigger_dag_id: str,
conf: Optional[Dict] = None,
execution_date: Optional[Union[str, datetime.datetime]] = None,
reset_dag_run: bool = False,
wait_for_completion: bool = False,
poke_interval: int = 60,
allowed_states: Optional[List] = None,
failed_states: ... | def __init__(
self,
*,
trigger_dag_id: str,
conf: Optional[Dict] = None,
execution_date: Optional[Union[str, datetime.datetime]] = None,
reset_dag_run: bool = False,
wait_for_completion: bool = False,
poke_interval: int = 60,
allowed_states: Optional[List] = None,
failed_states: ... | https://github.com/apache/airflow/issues/13414 | Ooops!
Something bad has happened.
Please consider letting us know by creating a bug report using GitHub.
Python version: 3.6.9
Airflow version: 2.0.0
Node: henry-Inspiron-5566
-------------------------------------------------------------------------------
Traceback (most recent call last):
File "/home/henry/Envs2/air... | TypeError |
def get_dag(self, dag_id, session: Session = None):
"""
Gets the DAG out of the dictionary, and refreshes it if expired
:param dag_id: DAG Id
:type dag_id: str
"""
# Avoid circular import
from airflow.models.dag import DagModel
if self.read_dags_from_db:
# Import here so that s... | def get_dag(self, dag_id, session: Session = None):
"""
Gets the DAG out of the dictionary, and refreshes it if expired
:param dag_id: DAG Id
:type dag_id: str
"""
# Avoid circular import
from airflow.models.dag import DagModel
if self.read_dags_from_db:
# Import here so that s... | https://github.com/apache/airflow/issues/13667 | 2021-01-14 14:07:44,429} {{scheduler_job.py:1754}} INFO - Resetting orphaned tasks for active dag runs
{2021-01-14 14:08:14,470} {{scheduler_job.py:1754}} INFO - Resetting orphaned tasks for active dag runs
{2021-01-14 14:08:16,968} {{scheduler_job.py:1293}} ERROR - Exception when executing SchedulerJob._run_scheduler_... | TypeError |
def shell(args):
"""Run a shell that allows to access metadata database"""
url = settings.engine.url
print("DB: " + repr(url))
if url.get_backend_name() == "mysql":
with NamedTemporaryFile(suffix="my.cnf") as f:
content = textwrap.dedent(
f"""
[client... | def shell(args):
"""Run a shell that allows to access metadata database"""
url = settings.engine.url
print("DB: " + repr(url))
if url.get_backend_name() == "mysql":
with NamedTemporaryFile(suffix="my.cnf") as f:
content = textwrap.dedent(
f"""
[client... | https://github.com/apache/airflow/issues/12806 | [2020-12-04 07:31:28,506] {process_utils.py:149} INFO - Executing cmd: sqlite3 /home/airflow/airflow/airflow.db
SQLite version 3.31.1 2020-01-27 19:55:54
Enter ".help" for usage hints.
sqlite> ;
sqlite> .quit
Traceback (most recent call last):
File "/home/airflow/sandbox/bin/airflow", line 8, in <module>
sys.exit(main(... | AttributeError |
def _do_scheduling(self, session) -> int:
"""
This function is where the main scheduling decisions take places. It:
- Creates any necessary DAG runs by examining the next_dagrun_create_after column of DagModel
Since creating Dag Runs is a relatively time consuming process, we select only 10 dags by ... | def _do_scheduling(self, session) -> int:
"""
This function is where the main scheduling decisions take places. It:
- Creates any necessary DAG runs by examining the next_dagrun_create_after column of DagModel
Since creating Dag Runs is a relatively time consuming process, we select only 10 dags by ... | https://github.com/apache/airflow/issues/13504 | [2021-01-06 10:09:38,742] {scheduler_job.py:1293} ERROR - Exception when executing SchedulerJob._run_scheduler_loop
Traceback (most recent call last):
File "/global/packages/python/lib/python3.7/site-packages/airflow/jobs/scheduler_job.py", line 1275, in _execute
self._run_scheduler_loop()
File "/global/packages/python... | airflow.exceptions.SerializedDagNotFound |
def _create_dag_runs(self, dag_models: Iterable[DagModel], session: Session) -> None:
"""
Unconditionally create a DAG run for the given DAG, and update the dag_model's fields to control
if/when the next DAGRun should be created
"""
for dag_model in dag_models:
try:
dag = self.da... | def _create_dag_runs(self, dag_models: Iterable[DagModel], session: Session) -> None:
"""
Unconditionally create a DAG run for the given DAG, and update the dag_model's fields to control
if/when the next DAGRun should be created
"""
for dag_model in dag_models:
dag = self.dagbag.get_dag(dag_... | https://github.com/apache/airflow/issues/13504 | [2021-01-06 10:09:38,742] {scheduler_job.py:1293} ERROR - Exception when executing SchedulerJob._run_scheduler_loop
Traceback (most recent call last):
File "/global/packages/python/lib/python3.7/site-packages/airflow/jobs/scheduler_job.py", line 1275, in _execute
self._run_scheduler_loop()
File "/global/packages/python... | airflow.exceptions.SerializedDagNotFound |
def _update_dag_next_dagruns(
self, dag_models: Iterable[DagModel], session: Session
) -> None:
"""
Bulk update the next_dagrun and next_dagrun_create_after for all the dags.
We batch the select queries to get info about all the dags at once
"""
# Check max_active_runs, to see if we are _now_ a... | def _update_dag_next_dagruns(
self, dag_models: Iterable[DagModel], session: Session
) -> None:
"""
Bulk update the next_dagrun and next_dagrun_create_after for all the dags.
We batch the select queries to get info about all the dags at once
"""
# Check max_active_runs, to see if we are _now_ a... | https://github.com/apache/airflow/issues/13504 | [2021-01-06 10:09:38,742] {scheduler_job.py:1293} ERROR - Exception when executing SchedulerJob._run_scheduler_loop
Traceback (most recent call last):
File "/global/packages/python/lib/python3.7/site-packages/airflow/jobs/scheduler_job.py", line 1275, in _execute
self._run_scheduler_loop()
File "/global/packages/python... | airflow.exceptions.SerializedDagNotFound |
def sync_to_db(self, session: Optional[Session] = None):
"""Save attributes about list of DAG to the DB."""
# To avoid circular import - airflow.models.dagbag -> airflow.models.dag -> airflow.models.dagbag
from airflow.models.dag import DAG
from airflow.models.serialized_dag import SerializedDagModel
... | def sync_to_db(self, session: Optional[Session] = None):
"""Save attributes about list of DAG to the DB."""
# To avoid circular import - airflow.models.dagbag -> airflow.models.dag -> airflow.models.dagbag
from airflow.models.dag import DAG
from airflow.models.serialized_dag import SerializedDagModel
... | https://github.com/apache/airflow/issues/13504 | [2021-01-06 10:09:38,742] {scheduler_job.py:1293} ERROR - Exception when executing SchedulerJob._run_scheduler_loop
Traceback (most recent call last):
File "/global/packages/python/lib/python3.7/site-packages/airflow/jobs/scheduler_job.py", line 1275, in _execute
self._run_scheduler_loop()
File "/global/packages/python... | airflow.exceptions.SerializedDagNotFound |
def _check_file(self, file_path):
problems = []
class_name_to_check = self.MACRO_PLUGIN_CLASS.split(".")[-1]
with open(file_path, "r") as file_pointer:
try:
for line_number, line in enumerate(file_pointer, 1):
if class_name_to_check in line:
problems.a... | def _check_file(self, file_path):
problems = []
class_name_to_check = self.MACRO_PLUGIN_CLASS.split(".")[-1]
with open(file_path, "r") as file_pointer:
for line_number, line in enumerate(file_pointer, 1):
if class_name_to_check in line:
problems.append(self._change_info(f... | https://github.com/apache/airflow/issues/13349 | ========================================================================================================================================================== STATUS ==========================================================================================================================================================
Ch... | UnicodeDecodeError |
def check(self):
dag_folder = conf.get("core", "dags_folder")
file_paths = list_py_file_paths(directory=dag_folder, include_examples=False)
problems = []
for file_path in file_paths:
if not file_path.endswith(".py"):
continue
problems.extend(self._check_file(file_path))
r... | def check(self):
dag_folder = conf.get("core", "dags_folder")
file_paths = list_py_file_paths(directory=dag_folder, include_examples=False)
problems = []
for file_path in file_paths:
problems.extend(self._check_file(file_path))
return problems
| https://github.com/apache/airflow/issues/13349 | ========================================================================================================================================================== STATUS ==========================================================================================================================================================
Ch... | UnicodeDecodeError |
def _add_callback_to_queue(self, request: CallbackRequest):
self._callback_to_execute[request.full_filepath].append(request)
# Callback has a higher priority over DAG Run scheduling
if request.full_filepath in self._file_path_queue:
# Remove file paths matching request.full_filepath from self._file_... | def _add_callback_to_queue(self, request: CallbackRequest):
self._callback_to_execute[request.full_filepath].append(request)
# Callback has a higher priority over DAG Run scheduling
if request.full_filepath in self._file_path_queue:
self._file_path_queue.remove(request.full_filepath)
self._file_... | https://github.com/apache/airflow/issues/13047 | [2020-12-13 19:35:33,752] {dagbag.py:440} INFO - Filling up the DagBag from /usr/local/lib/python3.8/site-packages/airflow/example_dags/example_bash_operator.py
Running <TaskInstance: example_bash_operator.run_after_loop 2020-12-13T19:35:30.648020+00:00 [queued]> on host 6611da4b1a27
[2020-12-13 19:35:34,517] {dagrun.p... | KeyError |
def start_new_processes(self):
"""Start more processors if we have enough slots and files to process"""
while self._parallelism - len(self._processors) > 0 and self._file_path_queue:
file_path = self._file_path_queue.pop(0)
# Stop creating duplicate processor i.e. processor with the same filepat... | def start_new_processes(self):
"""Start more processors if we have enough slots and files to process"""
while self._parallelism - len(self._processors) > 0 and self._file_path_queue:
file_path = self._file_path_queue.pop(0)
callback_to_execute_for_file = self._callback_to_execute[file_path]
... | https://github.com/apache/airflow/issues/13047 | [2020-12-13 19:35:33,752] {dagbag.py:440} INFO - Filling up the DagBag from /usr/local/lib/python3.8/site-packages/airflow/example_dags/example_bash_operator.py
Running <TaskInstance: example_bash_operator.run_after_loop 2020-12-13T19:35:30.648020+00:00 [queued]> on host 6611da4b1a27
[2020-12-13 19:35:34,517] {dagrun.p... | KeyError |
def dag_link(attr):
"""Generates a URL to the Graph View for a Dag."""
dag_id = attr.get("dag_id")
execution_date = attr.get("execution_date")
url = url_for("Airflow.graph", dag_id=dag_id, execution_date=execution_date)
return (
Markup('<a href="{}">{}</a>').format(url, dag_id) if dag_id els... | def dag_link(attr):
"""Generates a URL to the Graph View for a Dag."""
dag_id = attr.get("dag_id")
execution_date = attr.get("execution_date")
url = url_for("Airflow.graph", dag_id=dag_id, execution_date=execution_date)
return Markup('<a href="{}">{}</a>').format(url, dag_id) # noqa
| https://github.com/apache/airflow/issues/13602 | Something bad has happened.
Please consider letting us know by creating a bug report using GitHub.
Python version: 3.6.12
Airflow version: 2.0.0
Node: 9097c882a712
-------------------------------------------------------------------------------
Traceback (most recent call last):
File "/home/airflow/.local/lib/python3.6... | airflow.exceptions.SerializedDagNotFound |
def __init__(
self,
*,
bucket_name: str,
prefix: str,
aws_conn_id: str = "aws_default",
verify: Optional[Union[bool, str]] = None,
inactivity_period: float = 60 * 60,
min_objects: int = 1,
previous_objects: Optional[Set[str]] = None,
allow_delete: bool = True,
**kwargs,
) -> ... | def __init__(
self,
*,
bucket_name: str,
prefix: str,
aws_conn_id: str = "aws_default",
verify: Optional[Union[bool, str]] = None,
inactivity_period: float = 60 * 60,
min_objects: int = 1,
previous_objects: Optional[Set[str]] = None,
allow_delete: bool = True,
**kwargs,
) -> ... | https://github.com/apache/airflow/issues/13481 | Traceback (most recent call last):
File "/usr/local/lib/airflow/airflow/models/taskinstance.py", line 966, in _run_raw_task
self.render_templates(context=context)
File "/usr/local/lib/airflow/airflow/models/taskinstance.py", line 1428, in render_templates
self.task.render_template_fields(context)
File "/usr/local/lib/a... | AttributeError |
def is_keys_unchanged(self, current_objects: Set[str]) -> bool:
"""
Checks whether new objects have been uploaded and the inactivity_period
has passed and updates the state of the sensor accordingly.
:param current_objects: set of object ids in bucket during last poke.
:type current_objects: set[st... | def is_keys_unchanged(self, current_objects: Set[str]) -> bool:
"""
Checks whether new objects have been uploaded and the inactivity_period
has passed and updates the state of the sensor accordingly.
:param current_objects: set of object ids in bucket during last poke.
:type current_objects: set[st... | https://github.com/apache/airflow/issues/13481 | Traceback (most recent call last):
File "/usr/local/lib/airflow/airflow/models/taskinstance.py", line 966, in _run_raw_task
self.render_templates(context=context)
File "/usr/local/lib/airflow/airflow/models/taskinstance.py", line 1428, in render_templates
self.task.render_template_fields(context)
File "/usr/local/lib/a... | AttributeError |
def poke(self, context):
return self.is_keys_unchanged(
set(self.hook.list_keys(self.bucket_name, prefix=self.prefix))
)
| def poke(self, context):
return self.is_keys_unchanged(
set(self.hook.list_keys(self.bucket, prefix=self.prefix))
)
| https://github.com/apache/airflow/issues/13481 | Traceback (most recent call last):
File "/usr/local/lib/airflow/airflow/models/taskinstance.py", line 966, in _run_raw_task
self.render_templates(context=context)
File "/usr/local/lib/airflow/airflow/models/taskinstance.py", line 1428, in render_templates
self.task.render_template_fields(context)
File "/usr/local/lib/a... | AttributeError |
def get_user_roles(user=None):
"""
Get all the roles associated with the user.
:param user: the ab_user in FAB model.
:return: a list of roles associated with the user.
"""
if user is None:
user = g.user
if user.is_anonymous:
public_role = current_app.appbuilder.get_app.conf... | def get_user_roles(user=None):
"""
Get all the roles associated with the user.
:param user: the ab_user in FAB model.
:return: a list of roles associated with the user.
"""
if user is None:
user = g.user
if user.is_anonymous:
public_role = current_app.appbuilder.config.get("... | https://github.com/apache/airflow/issues/8815 | -------------------------------------------------------------------------------
Node: 11af45a15833
-------------------------------------------------------------------------------
Traceback (most recent call last):
File "/home/airflow/.local/lib/python3.6/site-packages/flask/app.py", line 2446, in wsgi_app
response = se... | AttributeError |
def read(self, filenames, encoding=None):
super().read(filenames=filenames, encoding=encoding)
| def read(self, filenames, encoding=None):
super().read(filenames=filenames, encoding=encoding)
self._validate()
| https://github.com/apache/airflow/issues/13254 | Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python3.6/site-packages/airflow/__init__.py", line 34, in <module>
from airflow import settings
File "/usr/local/lib/python3.6/site-packages/airflow/settings.py", line 35, in <module>
from airflow.configuration import AIRFLOW_HO... | NameError |
def read_dict(self, dictionary, source="<dict>"):
super().read_dict(dictionary=dictionary, source=source)
| def read_dict(self, dictionary, source="<dict>"):
super().read_dict(dictionary=dictionary, source=source)
self._validate()
| https://github.com/apache/airflow/issues/13254 | Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python3.6/site-packages/airflow/__init__.py", line 34, in <module>
from airflow import settings
File "/usr/local/lib/python3.6/site-packages/airflow/settings.py", line 35, in <module>
from airflow.configuration import AIRFLOW_HO... | NameError |
def upgrade(): # noqa: D103
# We previously had a KnownEvent's table, but we deleted the table without
# a down migration to remove it (so we didn't delete anyone's data if they
# were happing to use the feature.
#
# But before we can delete the users table we need to drop the FK
conn = op.get... | def upgrade(): # noqa: D103
# We previously had a KnownEvent's table, but we deleted the table without
# a down migration to remove it (so we didn't delete anyone's data if they
# were happing to use the feature.
#
# But before we can delete the users table we need to drop the FK
conn = op.get... | https://github.com/apache/airflow/issues/13222 | initdb_1 | DB: mysql://**:***@x.x.x.x:****/mydb
initdb_1 | [2020-12-21 15:32:09,044] {db.py:678} INFO - Creating tables
initdb_1 | INFO [alembic.runtime.migration] Context impl MySQLImpl.
initdb_1 | INFO [alembic.runtime.migration] Will assume non-transactional DDL.
initdb_1 | INFO [alembic.runtime.migration] R... | NotImplementedError |
def load_entrypoint_plugins(entry_points, airflow_plugins):
"""
Load AirflowPlugin subclasses from the entrypoints
provided. The entry_point group should be 'airflow.plugins'.
:param entry_points: A collection of entrypoints to search for plugins
:type entry_points: Generator[setuptools.EntryPoint,... | def load_entrypoint_plugins(entry_points, airflow_plugins):
"""
Load AirflowPlugin subclasses from the entrypoints
provided. The entry_point group should be 'airflow.plugins'.
:param entry_points: A collection of entrypoints to search for plugins
:type entry_points: Generator[setuptools.EntryPoint,... | https://github.com/apache/airflow/issues/12855 | [2020-12-06 15:33:25,513] {plugins_manager.py:159} ERROR - Failed to import plugin AirflowPrometheus
worker_1 | Traceback (most recent call last):
worker_1 | File "/home/airflow/.local/lib/python3.8/site-packages/airflow/plugins_manager.py", line 150, in load_entrypoint_plugins
worker_1 | plugin_obj._... | AttributeError |
def execute(self, context: Dict):
if isinstance(self.execution_date, datetime.datetime):
execution_date = self.execution_date
elif isinstance(self.execution_date, str):
execution_date = timezone.parse(self.execution_date)
self.execution_date = execution_date
else:
execution_d... | def execute(self, context: Dict):
if isinstance(self.execution_date, datetime.datetime):
execution_date = self.execution_date
elif isinstance(self.execution_date, str):
execution_date = timezone.parse(self.execution_date)
self.execution_date = execution_date
else:
execution_d... | https://github.com/apache/airflow/issues/12587 | Traceback (most recent call last):
File "/usr/lib/python3.7/site-packages/airflow/models/taskinstance.py", line 984, in _run_raw_task
result = task_copy.execute(context=context)
File "/usr/local/airflow/plugins/custom_trigger_operator.py", line 138, in execute
dag_run.execution_date,
UnboundLocalError: local variable '... | UnboundLocalError |
def _convert_to_airflow_pod(pod):
"""
Converts a k8s V1Pod object into an `airflow.kubernetes.pod.Pod` object.
This function is purely for backwards compatibility
"""
base_container = pod.spec.containers[0] # type: k8s.V1Container
env_vars, secrets = _extract_env_vars_and_secrets(base_container... | def _convert_to_airflow_pod(pod):
"""
Converts a k8s V1Pod object into an `airflow.kubernetes.pod.Pod` object.
This function is purely for backwards compatibility
"""
base_container = pod.spec.containers[0] # type: k8s.V1Container
env_vars, secrets = _extract_env_vars_and_secrets(base_container... | https://github.com/apache/airflow/issues/11731 | [2020-10-21 20:55:11,879] {scheduler_job.py:1401} ERROR - Exception when executing execute_helper
Traceback (most recent call last):
File "/usr/lib/python3.7/site-packages/airflow/kubernetes/pod_launcher.py", line 114, in _mutate_pod_backcompat
settings.pod_mutation_hook(dummy_pod)
File "/usr/local/airflow/config/airfl... | AttributeError |
def init_on_load(self):
"""
Called by the ORM after the instance has been loaded from the DB or otherwise reconstituted
i.e automatically deserialize Xcom value when loading from DB.
"""
try:
self.value = self.orm_deserialize_value()
except (UnicodeEncodeError, ValueError):
# For... | def init_on_load(self):
"""
Called by the ORM after the instance has been loaded from the DB or otherwise reconstituted
i.e automatically deserialize Xcom value when loading from DB.
"""
try:
self.value = XCom.deserialize_value(self)
except (UnicodeEncodeError, ValueError):
# For... | https://github.com/apache/airflow/issues/12315 | Python version: 3.8.6
Airflow version: 2.0.0b2
Node: 950a17127708
-------------------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python3.8/site-packages/flask/app.py", line 2447, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local... | ValueError |
def serialize_value(value: Any):
"""Serialize Xcom value to str or pickled object"""
if conf.getboolean("core", "enable_xcom_pickling"):
return pickle.dumps(value)
try:
return json.dumps(value).encode("UTF-8")
except (ValueError, TypeError):
log.error(
"Could not seri... | def serialize_value(value: Any):
"""Serialize Xcom value to str or pickled object"""
if conf.getboolean("core", "enable_xcom_pickling"):
return pickle.dumps(value)
try:
return json.dumps(value).encode("UTF-8")
except (ValueError, TypeError):
log.error(
"Could not seri... | https://github.com/apache/airflow/issues/12315 | Python version: 3.8.6
Airflow version: 2.0.0b2
Node: 950a17127708
-------------------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python3.8/site-packages/flask/app.py", line 2447, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local... | ValueError |
def deserialize_value(result: "XCom") -> Any:
"""Deserialize XCom value from str or pickle object"""
enable_pickling = conf.getboolean("core", "enable_xcom_pickling")
if enable_pickling:
return pickle.loads(result.value)
try:
return json.loads(result.value.decode("UTF-8"))
except JSO... | def deserialize_value(result) -> Any:
"""Deserialize Xcom value from str or pickle object"""
enable_pickling = conf.getboolean("core", "enable_xcom_pickling")
if enable_pickling:
return pickle.loads(result.value)
try:
return json.loads(result.value.decode("UTF-8"))
except JSONDecodeE... | https://github.com/apache/airflow/issues/12315 | Python version: 3.8.6
Airflow version: 2.0.0b2
Node: 950a17127708
-------------------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python3.8/site-packages/flask/app.py", line 2447, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local... | ValueError |
def __init__(
self,
*,
python_callable: Callable,
task_id: str,
op_args: Tuple[Any],
op_kwargs: Dict[str, Any],
multiple_outputs: bool = False,
**kwargs,
) -> None:
kwargs["task_id"] = self._get_unique_task_id(
task_id, kwargs.get("dag"), kwargs.get("task_group")
)
su... | def __init__(
self,
*,
python_callable: Callable,
task_id: str,
op_args: Tuple[Any],
op_kwargs: Dict[str, Any],
multiple_outputs: bool = False,
**kwargs,
) -> None:
kwargs["task_id"] = self._get_unique_task_id(task_id, kwargs.get("dag"))
super().__init__(**kwargs)
self.python... | https://github.com/apache/airflow/issues/12309 | Broken DAG: [/files/dags/test.py] Traceback (most recent call last):
File "/opt/airflow/airflow/models/baseoperator.py", line 410, in __init__
task_group.add(self)
File "/opt/airflow/airflow/utils/task_group.py", line 140, in add
raise DuplicateTaskIdFound(f"Task id '{key}' has already been added to the DAG")
airflow.e... | airflow.exceptions.DuplicateTaskIdFound |
def _get_unique_task_id(
task_id: str, dag: Optional[DAG] = None, task_group: Optional[TaskGroup] = None
) -> str:
"""
Generate unique task id given a DAG (or if run in a DAG context)
Ids are generated by appending a unique number to the end of
the original task id.
Example:
task_id
... | def _get_unique_task_id(task_id: str, dag: Optional[DAG] = None) -> str:
"""
Generate unique task id given a DAG (or if run in a DAG context)
Ids are generated by appending a unique number to the end of
the original task id.
Example:
task_id
task_id__1
task_id__2
...
t... | https://github.com/apache/airflow/issues/12309 | Broken DAG: [/files/dags/test.py] Traceback (most recent call last):
File "/opt/airflow/airflow/models/baseoperator.py", line 410, in __init__
task_group.add(self)
File "/opt/airflow/airflow/utils/task_group.py", line 140, in add
raise DuplicateTaskIdFound(f"Task id '{key}' has already been added to the DAG")
airflow.e... | airflow.exceptions.DuplicateTaskIdFound |
def task_run(args, dag=None):
"""Runs a single task instance"""
# Load custom airflow config
if args.cfg_path:
with open(args.cfg_path, "r") as conf_file:
conf_dict = json.load(conf_file)
if os.path.exists(args.cfg_path):
os.remove(args.cfg_path)
conf.read_d... | def task_run(args, dag=None):
"""Runs a single task instance"""
# Load custom airflow config
if args.cfg_path:
with open(args.cfg_path, "r") as conf_file:
conf_dict = json.load(conf_file)
if os.path.exists(args.cfg_path):
os.remove(args.cfg_path)
conf.read_d... | https://github.com/apache/airflow/issues/11717 | [...]
--------------------------------------------------------------------------------
[2020-10-21 13:29:07,958] {taskinstance.py:1020} INFO - Starting attempt 1 of 2
[2020-10-21 13:29:07,959] {taskinstance.py:1021} INFO -
--------------------------------------------------------------------------------
[...]
[2020-10-2... | ValueError |
def _serialize(
cls, var: Any
) -> Any: # Unfortunately there is no support for recursive types in mypy
"""Helper function of depth first search for serialization.
The serialization protocol is:
(1) keeping JSON supported types: primitives, dict, list;
(2) encoding other types as ``{TYPE: 'foo', ... | def _serialize(
cls, var: Any
) -> Any: # Unfortunately there is no support for recursive types in mypy
"""Helper function of depth first search for serialization.
The serialization protocol is:
(1) keeping JSON supported types: primitives, dict, list;
(2) encoding other types as ``{TYPE: 'foo', ... | https://github.com/apache/airflow/issues/11556 | $ airflow db check
Traceback (most recent call last):
File "/.../bin/airflow", line 8, in <module>
sys.exit(main())
File "/.../lib/python3.6/site-packages/airflow/__main__.py", line 40, in main
args.func(args)
File "/.../lib/python3.6/site-packages/airflow/cli/cli_parser.py", line 52, in command
func = import_string(im... | ModuleNotFoundError |
def _deserialize(cls, encoded_var: Any) -> Any: # pylint: disable=too-many-return-statements
"""Helper function of depth first search for deserialization."""
# JSON primitives (except for dict) are not encoded.
if cls._is_primitive(encoded_var):
return encoded_var
elif isinstance(encoded_var, l... | def _deserialize(cls, encoded_var: Any) -> Any: # pylint: disable=too-many-return-statements
"""Helper function of depth first search for deserialization."""
# JSON primitives (except for dict) are not encoded.
if cls._is_primitive(encoded_var):
return encoded_var
elif isinstance(encoded_var, l... | https://github.com/apache/airflow/issues/11556 | $ airflow db check
Traceback (most recent call last):
File "/.../bin/airflow", line 8, in <module>
sys.exit(main())
File "/.../lib/python3.6/site-packages/airflow/__main__.py", line 40, in main
args.func(args)
File "/.../lib/python3.6/site-packages/airflow/cli/cli_parser.py", line 52, in command
func = import_string(im... | ModuleNotFoundError |
def wait_for_pipeline_state(
self,
pipeline_name: str,
pipeline_id: str,
instance_url: str,
namespace: str = "default",
success_states: Optional[List[str]] = None,
failure_states: Optional[List[str]] = None,
timeout: int = 5 * 60,
):
"""
Polls pipeline state and raises an excepti... | def wait_for_pipeline_state(
self,
pipeline_name: str,
pipeline_id: str,
instance_url: str,
namespace: str = "default",
success_states: Optional[List[str]] = None,
failure_states: Optional[List[str]] = None,
timeout: int = 5 * 60,
):
"""
Polls pipeline state and raises an excepti... | https://github.com/apache/airflow/issues/10030 | [2020-07-28 08:16:46,390] {taskinstance.py:1059} ERROR - Retrieving a pipeline state failed with code 404
Traceback (most recent call last)
File "/usr/local/lib/airflow/airflow/models/taskinstance.py", line 930, in _run_raw_tas
result = task_copy.execute(context=context
File "/usr/local/lib/airflow/airflow/providers/go... | airflow.exceptions.AirflowException |
def execute(self, context):
emr_hook = EmrHook(aws_conn_id=self.aws_conn_id)
emr = emr_hook.get_conn()
job_flow_id = self.job_flow_id or emr_hook.get_cluster_id_by_name(
self.job_flow_name, self.cluster_states
)
if not job_flow_id:
raise AirflowException("No cluster found for name:... | def execute(self, context):
emr = EmrHook(aws_conn_id=self.aws_conn_id).get_conn()
job_flow_id = self.job_flow_id
if not job_flow_id:
job_flow_id = emr.get_cluster_id_by_name(
self.job_flow_name, self.cluster_states
)
if self.do_xcom_push:
context["ti"].xcom_push(k... | https://github.com/apache/airflow/issues/9127 | [2020-06-03 18:05:06,862] {taskinstance.py:1145} ERROR - 'EMR' object has no attribute 'get_cluster_id_by_name'
Traceback (most recent call last):
File "/home/ubuntu/.pyenv/versions/3.7.7/envs/.venv_python377/lib/python3.7/site-packages/airflow/models/taskinstance.py", line 983, in _run_raw_task
result = task_copy.exec... | AttributeError |
def trigger(self, session=None):
dag_id = request.values.get("dag_id")
origin = request.values.get("origin") or "/admin/"
if request.method == "GET":
return self.render(
"airflow/trigger.html", dag_id=dag_id, origin=origin, conf=""
)
dag = (
session.query(models.Dag... | def trigger(self, session=None):
dag_id = request.values.get("dag_id")
origin = request.values.get("origin") or "/admin/"
if request.method == "GET":
return self.render(
"airflow/trigger.html", dag_id=dag_id, origin=origin, conf=""
)
dag = (
session.query(models.Dag... | https://github.com/apache/airflow/issues/8247 | Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/flask/app.py", line 2447, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local/lib/python3.7/site-packages/flask/app.py", line 1952, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/usr/local/lib/python3.7/... | AttributeError |
def trigger(self, session=None):
dag_id = request.values.get("dag_id")
origin = request.values.get("origin") or url_for("Airflow.index")
if request.method == "GET":
return self.render_template(
"airflow/trigger.html", dag_id=dag_id, origin=origin, conf=""
)
dag = (
... | def trigger(self, session=None):
dag_id = request.values.get("dag_id")
origin = request.values.get("origin") or url_for("Airflow.index")
if request.method == "GET":
return self.render_template(
"airflow/trigger.html", dag_id=dag_id, origin=origin, conf=""
)
dag = (
... | https://github.com/apache/airflow/issues/8247 | Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/flask/app.py", line 2447, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local/lib/python3.7/site-packages/flask/app.py", line 1952, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/usr/local/lib/python3.7/... | AttributeError |
def classify_ode(eq, func=None, dict=False, ics=None, **kwargs):
r"""
Returns a tuple of possible :py:meth:`~sympy.solvers.ode.dsolve`
classifications for an ODE.
The tuple is ordered so that first item is the classification that
:py:meth:`~sympy.solvers.ode.dsolve` uses to solve the ODE by default... | def classify_ode(eq, func=None, dict=False, ics=None, **kwargs):
r"""
Returns a tuple of possible :py:meth:`~sympy.solvers.ode.dsolve`
classifications for an ODE.
The tuple is ordered so that first item is the classification that
:py:meth:`~sympy.solvers.ode.dsolve` uses to solve the ODE by default... | https://github.com/sympy/sympy/issues/5096 | dsolve(f(x).diff(x, x) + f(x) - x*sin(x - 2), f(x), hint='nth_linear_constant_coeff_undetermined_coefficients')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "sympy/solvers/ode.py", line 457, in dsolve
match=hints[hint]), func, hints['order'], hint)
File "sympy/solvers/ode.py", line 2370, ... | NotImplementedError |
def ode_nth_linear_euler_eq_nonhomogeneous_undetermined_coefficients(
eq, func, order, match, returns="sol"
):
r"""
Solves an `n`\th order linear non homogeneous Cauchy-Euler equidimensional
ordinary differential equation using undetermined coefficients.
This is an equation with form `g(x) = a_0 f(... | def ode_nth_linear_euler_eq_nonhomogeneous_undetermined_coefficients(
eq, func, order, match, returns="sol"
):
r"""
Solves an `n`\th order linear non homogeneous Cauchy-Euler equidimensional
ordinary differential equation using undetermined coefficients.
This is an equation with form `g(x) = a_0 f(... | https://github.com/sympy/sympy/issues/5096 | dsolve(f(x).diff(x, x) + f(x) - x*sin(x - 2), f(x), hint='nth_linear_constant_coeff_undetermined_coefficients')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "sympy/solvers/ode.py", line 457, in dsolve
match=hints[hint]), func, hints['order'], hint)
File "sympy/solvers/ode.py", line 2370, ... | NotImplementedError |
def _solve_undetermined_coefficients(eq, func, order, match):
r"""
Helper function for the method of undetermined coefficients.
See the
:py:meth:`~sympy.solvers.ode.ode_nth_linear_constant_coeff_undetermined_coefficients`
docstring for more information on this method.
The parameter ``match`` s... | def _solve_undetermined_coefficients(eq, func, order, match):
r"""
Helper function for the method of undetermined coefficients.
See the
:py:meth:`~sympy.solvers.ode.ode_nth_linear_constant_coeff_undetermined_coefficients`
docstring for more information on this method.
The parameter ``match`` s... | https://github.com/sympy/sympy/issues/5096 | dsolve(f(x).diff(x, x) + f(x) - x*sin(x - 2), f(x), hint='nth_linear_constant_coeff_undetermined_coefficients')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "sympy/solvers/ode.py", line 457, in dsolve
match=hints[hint]), func, hints['order'], hint)
File "sympy/solvers/ode.py", line 2370, ... | NotImplementedError |
def _undetermined_coefficients_match(expr, x, func=None, eq_homogeneous=S.Zero):
r"""
Returns a trial function match if undetermined coefficients can be applied
to ``expr``, and ``None`` otherwise.
A trial expression can be found for an expression for use with the method
of undetermined coefficient... | def _undetermined_coefficients_match(expr, x):
r"""
Returns a trial function match if undetermined coefficients can be applied
to ``expr``, and ``None`` otherwise.
A trial expression can be found for an expression for use with the method
of undetermined coefficients if the expression is an
addi... | https://github.com/sympy/sympy/issues/5096 | dsolve(f(x).diff(x, x) + f(x) - x*sin(x - 2), f(x), hint='nth_linear_constant_coeff_undetermined_coefficients')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "sympy/solvers/ode.py", line 457, in dsolve
match=hints[hint]), func, hints['order'], hint)
File "sympy/solvers/ode.py", line 2370, ... | NotImplementedError |
def _minpoly_compose(ex, x, dom):
"""
Computes the minimal polynomial of an algebraic element
using operations on minimal polynomials
Examples
========
>>> from sympy import minimal_polynomial, sqrt, Rational
>>> from sympy.abc import x, y
>>> minimal_polynomial(sqrt(2) + 3*Rational(1,... | def _minpoly_compose(ex, x, dom):
"""
Computes the minimal polynomial of an algebraic element
using operations on minimal polynomials
Examples
========
>>> from sympy import minimal_polynomial, sqrt, Rational
>>> from sympy.abc import x, y
>>> minimal_polynomial(sqrt(2) + 3*Rational(1,... | https://github.com/sympy/sympy/issues/5934 | I found this from the expression from issue 5933 :
In [50]: [minpoly(i) for i in x.as_numer_denom()]
---------------------------------------------------------------------------
PolynomialError Traceback (most recent call last)
/Users/aaronmeurer/Documents/python/sympy/sympy/<ipython-input-50-... | PolynomialError |
def _eval_evalf(self, prec):
# Lookup mpmath function based on name
try:
if isinstance(self.func, UndefinedFunction):
# Shouldn't lookup in mpmath but might have ._imp_
raise AttributeError
fname = self.func.__name__
if not hasattr(mpmath, fname):
from... | def _eval_evalf(self, prec):
# Lookup mpmath function based on name
fname = self.func.__name__
try:
if not hasattr(mpmath, fname):
from sympy.utilities.lambdify import MPMATH_TRANSLATIONS
fname = MPMATH_TRANSLATIONS[fname]
func = getattr(mpmath, fname)
except (At... | https://github.com/sympy/sympy/issues/6938 | If I run sympy.S("ceil(2.3)").evalf() with sympy 0.7.1 then I get 3. However, if I run the same using sympy 0.7.2 then I get an AttributeError (see below). I discovered that switching to use ceiling() instead of ceil() works, but I have no idea why ceil() disappeared in the first place. Someone in IRC told me that t... | AttributeError |
def factorial_notation(tokens, local_dict, global_dict):
"""Allows standard notation for factorial."""
result = []
nfactorial = 0
for toknum, tokval in tokens:
if toknum == ERRORTOKEN:
op = tokval
if op == "!":
nfactorial += 1
else:
... | def factorial_notation(tokens, local_dict, global_dict):
"""Allows standard notation for factorial."""
result = []
prevtoken = ""
for toknum, tokval in tokens:
if toknum == OP:
op = tokval
if op == "!!":
if prevtoken == "!" or prevtoken == "!!":
... | https://github.com/sympy/sympy/issues/4862 | In [37]: S("α")
--------------------------------------------------------------------------
-
SympifyError Traceback (most recent call last)
/Users/aaronmeurer/Documents/Python/sympy/sympy/<ipython console> in <module>()
/Users/aaronmeurer/Documents/Python/sympy/sympy/sympy/core/sympify.py... | SympifyError |
def auto_number(tokens, local_dict, global_dict):
"""
Converts numeric literals to use SymPy equivalents.
Complex numbers use ``I``, integer literals use ``Integer``, and float
literals use ``Float``.
"""
result = []
for toknum, tokval in tokens:
if toknum == NUMBER:
n... | def auto_number(tokens, local_dict, global_dict):
"""Converts numeric literals to use SymPy equivalents.
Complex numbers use ``I``; integer literals use ``Integer``, float
literals use ``Float``, and repeating decimals use ``Rational``.
"""
result = []
prevtoken = ""
for toknum, tokval in... | https://github.com/sympy/sympy/issues/4862 | In [37]: S("α")
--------------------------------------------------------------------------
-
SympifyError Traceback (most recent call last)
/Users/aaronmeurer/Documents/Python/sympy/sympy/<ipython console> in <module>()
/Users/aaronmeurer/Documents/Python/sympy/sympy/sympy/core/sympify.py... | SympifyError |
def poly(expr, *gens, **args):
"""
Efficiently transform an expression into a polynomial.
Examples
========
>>> from sympy import poly
>>> from sympy.abc import x
>>> poly(x*(x**2 + x - 1)**2)
Poly(x**5 + 2*x**4 - x**3 - 2*x**2 + x, x, domain='ZZ')
"""
options.allowed_flags(a... | def poly(expr, *gens, **args):
"""
Efficiently transform an expression into a polynomial.
Examples
========
>>> from sympy import poly
>>> from sympy.abc import x
>>> poly(x*(x**2 + x - 1)**2)
Poly(x**5 + 2*x**4 - x**3 - 2*x**2 + x, x, domain='ZZ')
"""
options.allowed_flags(a... | https://github.com/sympy/sympy/issues/12400 | Traceback (most recent call last):
File "Temp.py", line 2, in <module>
print(sympy.polys.polytools.poly(1 / (1 + sympy.sqrt(2)), sympy.Dummy('x')))
File "sympy\polys\polytools.py", line 6855, in poly
return _poly(expr, opt)
File "sympy\polys\polytools.py", line 6805, in _poly
_poly(factor.base, opt).pow(factor.exp))
Fi... | ValueError |
def _poly(expr, opt):
terms, poly_terms = [], []
for term in Add.make_args(expr):
factors, poly_factors = [], []
for factor in Mul.make_args(term):
if factor.is_Add:
poly_factors.append(_poly(factor, opt))
elif (
factor.is_Pow
... | def _poly(expr, opt):
terms, poly_terms = [], []
for term in Add.make_args(expr):
factors, poly_factors = [], []
for factor in Mul.make_args(term):
if factor.is_Add:
poly_factors.append(_poly(factor, opt))
elif factor.is_Pow and factor.base.is_Add and fa... | https://github.com/sympy/sympy/issues/12400 | Traceback (most recent call last):
File "Temp.py", line 2, in <module>
print(sympy.polys.polytools.poly(1 / (1 + sympy.sqrt(2)), sympy.Dummy('x')))
File "sympy\polys\polytools.py", line 6855, in poly
return _poly(expr, opt)
File "sympy\polys\polytools.py", line 6805, in _poly
_poly(factor.base, opt).pow(factor.exp))
Fi... | ValueError |
def __pow__(self, other, mod=None):
if mod is None:
return self._pow(other)
try:
_self, other, mod = as_int(self), as_int(other), as_int(mod)
if other >= 0:
return pow(_self, other, mod)
else:
from sympy.core.numbers import mod_inverse
return ... | def __pow__(self, other):
return Pow(self, other)
| https://github.com/sympy/sympy/issues/5715 | According to http://docs.python.org/release/2.5.2/ref/numeric-types.html , __pow__ should define a third, optional argument to work with ternary pow(). We should do that for at least Integer, though it would be cool to do it for arbitrary expressions (this will require Mod from issue 5589 , and also some care to make ... | TypeError |
def make_args(cls, expr):
"""
Return a sequence of elements `args` such that cls(*args) == expr
>>> from sympy import Symbol, Mul, Add
>>> x, y = map(Symbol, 'xy')
>>> Mul.make_args(x*y)
(x, y)
>>> Add.make_args(x*y)
(x*y,)
>>> set(Add.make_args(x*y + y)) == set([y, x*y])
True
... | def make_args(cls, expr):
"""
Return a sequence of elements `args` such that cls(*args) == expr
>>> from sympy import Symbol, Mul, Add
>>> x, y = map(Symbol, 'xy')
>>> Mul.make_args(x*y)
(x, y)
>>> Add.make_args(x*y)
(x*y,)
>>> set(Add.make_args(x*y + y)) == set([y, x*y])
True
... | https://github.com/sympy/sympy/issues/7067 | Following function call generate an error in Python3 but work well in Python2.
factor_list(x*(x+y))
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/home/thilinarmtb/GSoC/sympy/sympy/polys/polytools.py", line 5675, in factor_list
return _generic_factor_list(f, gens, args, method='factor... | TypeError |
def make_args(cls, expr):
"""
Return a set of args such that cls(*arg_set) == expr.
"""
if isinstance(expr, cls):
return expr._argset
else:
return frozenset([sympify(expr)])
| def make_args(cls, expr):
"""
Return a sequence of elements `args` such that cls(*args) == expr
>>> from sympy import Symbol, Mul, Add
>>> x, y = map(Symbol, 'xy')
>>> Mul.make_args(x*y)
(x, y)
>>> Add.make_args(x*y)
(x*y,)
>>> set(Add.make_args(x*y + y)) == set([y, x*y])
True
... | https://github.com/sympy/sympy/issues/7067 | Following function call generate an error in Python3 but work well in Python2.
factor_list(x*(x+y))
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/home/thilinarmtb/GSoC/sympy/sympy/polys/polytools.py", line 5675, in factor_list
return _generic_factor_list(f, gens, args, method='factor... | TypeError |
def _sorted_factors(factors, method):
"""Sort a list of ``(expr, exp)`` pairs."""
if method == "sqf":
def key(obj):
poly, exp = obj
rep = poly.rep.rep
return (exp, len(rep), len(poly.gens), rep)
else:
def key(obj):
poly, exp = obj
... | def _sorted_factors(factors, method):
"""Sort a list of ``(expr, exp)`` pairs."""
if method == "sqf":
def key(obj):
poly, exp = obj
rep = poly.rep.rep
return (exp, len(rep), rep)
else:
def key(obj):
poly, exp = obj
rep = poly.rep.... | https://github.com/sympy/sympy/issues/7067 | Following function call generate an error in Python3 but work well in Python2.
factor_list(x*(x+y))
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/home/thilinarmtb/GSoC/sympy/sympy/polys/polytools.py", line 5675, in factor_list
return _generic_factor_list(f, gens, args, method='factor... | TypeError |
def key(obj):
poly, exp = obj
rep = poly.rep.rep
return (len(rep), len(poly.gens), exp, rep)
| def key(obj):
poly, exp = obj
rep = poly.rep.rep
return (len(rep), exp, rep)
| https://github.com/sympy/sympy/issues/7067 | Following function call generate an error in Python3 but work well in Python2.
factor_list(x*(x+y))
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/home/thilinarmtb/GSoC/sympy/sympy/polys/polytools.py", line 5675, in factor_list
return _generic_factor_list(f, gens, args, method='factor... | TypeError |
def _eval_imageset(self, f):
expr = f.expr
if not isinstance(expr, Expr):
return
if len(f.variables) > 1:
return
n = f.variables[0]
# f(x) + c and f(-x) + c cover the same integers
# so choose the form that has the fewest negatives
c = f(0)
fx = f(n) - c
f_x = f(-n... | def _eval_imageset(self, f):
expr = f.expr
if len(f.variables) > 1:
return
n = f.variables[0]
a = Wild("a")
b = Wild("b")
match = expr.match(a * n + b)
if match[a].is_negative:
expr = -expr
match = expr.match(a * n + b)
if match[a] is S.One and match[b].is_integer:... | https://github.com/sympy/sympy/issues/7067 | Following function call generate an error in Python3 but work well in Python2.
factor_list(x*(x+y))
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/home/thilinarmtb/GSoC/sympy/sympy/polys/polytools.py", line 5675, in factor_list
return _generic_factor_list(f, gens, args, method='factor... | TypeError |
def _contains(self, other):
from sympy.matrices import Matrix
from sympy.solvers.solveset import solveset, linsolve
from sympy.utilities.iterables import is_sequence, iterable, cartes
L = self.lamda
if is_sequence(other):
if not is_sequence(L.expr):
return S.false
if len... | def _contains(self, other):
from sympy.matrices import Matrix
from sympy.solvers.solveset import solveset, linsolve
from sympy.utilities.iterables import iterable, cartes
L = self.lamda
if self._is_multivariate():
if not iterable(L.expr):
if iterable(other):
retu... | https://github.com/sympy/sympy/issues/7067 | Following function call generate an error in Python3 but work well in Python2.
factor_list(x*(x+y))
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/home/thilinarmtb/GSoC/sympy/sympy/polys/polytools.py", line 5675, in factor_list
return _generic_factor_list(f, gens, args, method='factor... | TypeError |
def _intersect(self, other):
from sympy.solvers.diophantine import diophantine
if self.base_set is S.Integers:
g = None
if isinstance(other, ImageSet) and other.base_set is S.Integers:
g = other.lamda.expr
m = other.lamda.variables[0]
elif other is S.Integers:
... | def _intersect(self, other):
from sympy.solvers.diophantine import diophantine
if self.base_set is S.Integers:
if isinstance(other, ImageSet) and other.base_set is S.Integers:
f, g = self.lamda.expr, other.lamda.expr
n, m = self.lamda.variables[0], other.lamda.variables[0]
... | https://github.com/sympy/sympy/issues/7067 | Following function call generate an error in Python3 but work well in Python2.
factor_list(x*(x+y))
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/home/thilinarmtb/GSoC/sympy/sympy/polys/polytools.py", line 5675, in factor_list
return _generic_factor_list(f, gens, args, method='factor... | TypeError |
def _intersect(self, other):
from sympy.functions.elementary.integers import ceiling, floor
from sympy.functions.elementary.complexes import sign
if other is S.Naturals:
return self._intersect(Interval(1, S.Infinity))
if other is S.Integers:
return self
if other.is_Interval:
... | def _intersect(self, other):
from sympy.functions.elementary.integers import ceiling, floor
from sympy.functions.elementary.complexes import sign
if other is S.Naturals:
return self._intersect(Interval(1, S.Infinity))
if other is S.Integers:
return self
if other.is_Interval:
... | https://github.com/sympy/sympy/issues/7067 | Following function call generate an error in Python3 but work well in Python2.
factor_list(x*(x+y))
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/home/thilinarmtb/GSoC/sympy/sympy/polys/polytools.py", line 5675, in factor_list
return _generic_factor_list(f, gens, args, method='factor... | TypeError |
def imageset(*args):
r"""
Return an image of the set under transformation ``f``.
If this function can't compute the image, it returns an
unevaluated ImageSet object.
.. math::
{ f(x) | x \in self }
Examples
========
>>> from sympy import S, Interval, Symbol, imageset, sin, La... | def imageset(*args):
r"""
Return an image of the set under transformation ``f``.
If this function can't compute the image, it returns an
unevaluated ImageSet object.
.. math::
{ f(x) | x \in self }
Examples
========
>>> from sympy import Interval, Symbol, imageset, sin, Lambd... | https://github.com/sympy/sympy/issues/7067 | Following function call generate an error in Python3 but work well in Python2.
factor_list(x*(x+y))
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/home/thilinarmtb/GSoC/sympy/sympy/polys/polytools.py", line 5675, in factor_list
return _generic_factor_list(f, gens, args, method='factor... | TypeError |
def diophantine(eq, param=symbols("t", integer=True)):
"""
Simplify the solution procedure of diophantine equation ``eq`` by
converting it into a product of terms which should equal zero.
For example, when solving, `x^2 - y^2 = 0` this is treated as
`(x + y)(x - y) = 0` and `x+y = 0` and `x-y = 0` ... | def diophantine(eq, param=symbols("t", integer=True)):
"""
Simplify the solution procedure of diophantine equation ``eq`` by
converting it into a product of terms which should equal zero.
For example, when solving, `x^2 - y^2 = 0` this is treated as
`(x + y)(x - y) = 0` and `x+y = 0` and `x-y = 0` ... | https://github.com/sympy/sympy/issues/7067 | Following function call generate an error in Python3 but work well in Python2.
factor_list(x*(x+y))
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/home/thilinarmtb/GSoC/sympy/sympy/polys/polytools.py", line 5675, in factor_list
return _generic_factor_list(f, gens, args, method='factor... | TypeError |
def doit(self, **hints):
if self.args[0].is_zero is False:
return self.args[0] / Abs(self.args[0])
return self
| def doit(self):
if self.args[0].is_zero is False:
return self.args[0] / Abs(self.args[0])
return self
| https://github.com/sympy/sympy/issues/7163 | In [63]: integrate((sign(x - 1) - sign(x - 2))*cos(x), x)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-63-4e67770ec27d> in <module>()
----> 1 integrate((sign(x - 1) - sign(x - 2))*cos(x), x)
/home/... | TypeError |
def __new__(cls, *args):
"""
Construct a new instance of Diagram.
If no arguments are supplied, an empty diagram is created.
If at least an argument is supplied, ``args[0]`` is
interpreted as the premises of the diagram. If ``args[0]`` is
a list, it is interpreted as a list of :class:`Morphis... | def __new__(cls, *args):
"""
Construct a new instance of Diagram.
If no arguments are supplied, an empty diagram is created.
If at least an argument is supplied, ``args[0]`` is
interpreted as the premises of the diagram. If ``args[0]`` is
a list, it is interpreted as a list of :class:`Morphis... | https://github.com/sympy/sympy/issues/8197 | In [5]: b in FiniteSet(-a)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-66c50e010c80> in <module>()
----> 1 b in FiniteSet(-a)
/home/hargup/210fs/sympy/sympy/sets/sets.py in __contains__(self, ot... | TypeError |
def subdiagram_from_objects(self, objects):
"""
If ``objects`` is a subset of the objects of ``self``, returns
a diagram which has as premises all those premises of ``self``
which have a domains and codomains in ``objects``, likewise
for conclusions. Properties are preserved.
Examples
====... | def subdiagram_from_objects(self, objects):
"""
If ``objects`` is a subset of the objects of ``self``, returns
a diagram which has as premises all those premises of ``self``
which have a domains and codomains in ``objects``, likewise
for conclusions. Properties are preserved.
Examples
====... | https://github.com/sympy/sympy/issues/8197 | In [5]: b in FiniteSet(-a)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-66c50e010c80> in <module>()
----> 1 b in FiniteSet(-a)
/home/hargup/210fs/sympy/sympy/sets/sets.py in __contains__(self, ot... | TypeError |
def _complement(self, other):
# this behaves as other - self
if isinstance(other, ProductSet):
# For each set consider it or it's complement
# We need at least one of the sets to be complemented
# Consider all 2^n combinations.
# We can conveniently represent these options easily... | def _complement(self, other):
# this behaves as other - self
if isinstance(other, ProductSet):
# For each set consider it or it's complement
# We need at least one of the sets to be complemented
# Consider all 2^n combinations.
# We can conveniently represent these options easily... | https://github.com/sympy/sympy/issues/8197 | In [5]: b in FiniteSet(-a)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-66c50e010c80> in <module>()
----> 1 b in FiniteSet(-a)
/home/hargup/210fs/sympy/sympy/sets/sets.py in __contains__(self, ot... | TypeError |
def _eval_Eq(self, other):
if not other.is_FiniteSet:
if (
other.is_Union
or other.is_Complement
or other.is_Intersection
or other.is_ProductSet
):
return
return false
if len(self) != len(other):
return false
retu... | def _eval_Eq(self, other):
if not other.is_FiniteSet:
if (
other.is_Union
or other.is_Complement
or other.is_Intersection
or other.is_ProductSet
):
return
return false
return And(*map(lambda x, y: Eq(x, y), self.args, other.ar... | https://github.com/sympy/sympy/issues/8197 | In [5]: b in FiniteSet(-a)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-66c50e010c80> in <module>()
----> 1 b in FiniteSet(-a)
/home/hargup/210fs/sympy/sympy/sets/sets.py in __contains__(self, ot... | TypeError |
def _contains(self, other):
"""
Tests whether an element, other, is in the set.
Relies on Python's set class. This tests for object equality
All inputs are sympified
Examples
========
>>> from sympy import FiniteSet
>>> 1 in FiniteSet(1, 2)
True
>>> 5 in FiniteSet(1, 2)
Fa... | def _contains(self, other):
"""
Tests whether an element, other, is in the set.
Relies on Python's set class. This tests for object equality
All inputs are sympified
Examples
========
>>> from sympy import FiniteSet
>>> 1 in FiniteSet(1, 2)
True
>>> 5 in FiniteSet(1, 2)
Fa... | https://github.com/sympy/sympy/issues/8197 | In [5]: b in FiniteSet(-a)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-66c50e010c80> in <module>()
----> 1 b in FiniteSet(-a)
/home/hargup/210fs/sympy/sympy/sets/sets.py in __contains__(self, ot... | TypeError |
def __contains__(self, other):
# Split event into each subdomain
for domain in self.domains:
# Collect the parts of this event which associate to this domain
elem = frozenset(
[item for item in other if domain.symbols.contains(item[0]) == S.true]
)
# Test this sub-eve... | def __contains__(self, other):
# Split event into each subdomain
for domain in self.domains:
# Collect the parts of this event which associate to this domain
elem = frozenset([item for item in other if item[0] in domain.symbols])
# Test this sub-event
if elem not in domain:
... | https://github.com/sympy/sympy/issues/8197 | In [5]: b in FiniteSet(-a)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-66c50e010c80> in <module>()
----> 1 b in FiniteSet(-a)
/home/hargup/210fs/sympy/sympy/sets/sets.py in __contains__(self, ot... | TypeError |
def __init__(self, settings={}):
CodePrinter.__init__(self, settings)
self.known_functions = dict(known_functions)
userfuncs = settings.get("user_functions", {})
self.known_functions.update(userfuncs)
| def __init__(self, settings={}):
CodePrinter.__init__(self, settings)
self.known_functions = dict(known_functions)
userfuncs = settings.get("user_functions", {})
for k, v in userfuncs.items():
if not isinstance(v, list):
userfuncs[k] = [(lambda *x: True, v)]
self.known_functions.... | https://github.com/sympy/sympy/issues/6814 | ufuncify(x, x*log(10)) produces the following exception
---------------------------------------------------------------------------
CodeWrapError Traceback (most recent call last)
<ipython-input-12-f6cc06919001> in <module>()
----> 1 ufuncify(x, x*log(10))
/home/thomas/gitrepos/sympy/symp... | CodeWrapError |
def ccode(expr, assign_to=None, **settings):
"""Converts an expr to a string of c code
Parameters
==========
expr : Expr
A sympy expression to be converted.
assign_to : optional
When given, the argument is used as the name of the variable to which
the expression is assigned... | def ccode(expr, assign_to=None, **settings):
r"""Converts an expr to a string of c code
Parameters
==========
expr : sympy.core.Expr
a sympy expression to be converted
assign_to : optional
When given, the argument is used as the name of the
variable to which the Fortran exp... | https://github.com/sympy/sympy/issues/6814 | ufuncify(x, x*log(10)) produces the following exception
---------------------------------------------------------------------------
CodeWrapError Traceback (most recent call last)
<ipython-input-12-f6cc06919001> in <module>()
----> 1 ufuncify(x, x*log(10))
/home/thomas/gitrepos/sympy/symp... | CodeWrapError |
def __init__(self, settings={}):
CodePrinter.__init__(self, settings)
self.known_functions = dict(known_functions)
userfuncs = settings.get("user_functions", {})
self.known_functions.update(userfuncs)
# leading columns depend on fixed or free format
if self._settings["source_format"] == "fixed":... | def __init__(self, settings=None):
CodePrinter.__init__(self, settings)
# leading columns depend on fixed or free format
if self._settings["source_format"] == "fixed":
self._lead_code = " "
self._lead_cont = " @ "
self._lead_comment = "C "
elif self._settings["source... | https://github.com/sympy/sympy/issues/6814 | ufuncify(x, x*log(10)) produces the following exception
---------------------------------------------------------------------------
CodeWrapError Traceback (most recent call last)
<ipython-input-12-f6cc06919001> in <module>()
----> 1 ufuncify(x, x*log(10))
/home/thomas/gitrepos/sympy/symp... | CodeWrapError |
def _print_Function(self, expr):
# All constant function args are evaluated as floats
prec = self._settings["precision"]
args = [N(a, prec) for a in expr.args]
eval_expr = expr.func(*args)
if not isinstance(eval_expr, C.Function):
return self._print(eval_expr)
else:
return CodePr... | def _print_Function(self, expr):
name = self._settings["user_functions"].get(expr.__class__)
eargs = expr.args
if name is None:
from sympy.functions import conjugate
if expr.func == conjugate:
name = "conjg"
else:
name = expr.func.__name__
if hasattr(... | https://github.com/sympy/sympy/issues/6814 | ufuncify(x, x*log(10)) produces the following exception
---------------------------------------------------------------------------
CodeWrapError Traceback (most recent call last)
<ipython-input-12-f6cc06919001> in <module>()
----> 1 ufuncify(x, x*log(10))
/home/thomas/gitrepos/sympy/symp... | CodeWrapError |
def fcode(expr, assign_to=None, **settings):
"""Converts an expr to a string of c code
Parameters
==========
expr : Expr
A sympy expression to be converted.
assign_to : optional
When given, the argument is used as the name of the variable to which
the expression is assigned... | def fcode(expr, assign_to=None, **settings):
"""Converts an expr to a string of Fortran 77 code
Parameters
==========
expr : sympy.core.Expr
a sympy expression to be converted
assign_to : optional
When given, the argument is used as the name of the
variable to which the For... | https://github.com/sympy/sympy/issues/6814 | ufuncify(x, x*log(10)) produces the following exception
---------------------------------------------------------------------------
CodeWrapError Traceback (most recent call last)
<ipython-input-12-f6cc06919001> in <module>()
----> 1 ufuncify(x, x*log(10))
/home/thomas/gitrepos/sympy/symp... | CodeWrapError |
def __init__(self, settings={}):
CodePrinter.__init__(self, settings)
self.known_functions = dict(known_functions)
userfuncs = settings.get("user_functions", {})
self.known_functions.update(userfuncs)
| def __init__(self, settings={}):
CodePrinter.__init__(self, settings)
self.known_functions = dict(known_functions)
userfuncs = settings.get("user_functions", {})
for k, v in userfuncs.items():
if not isinstance(v, tuple):
userfuncs[k] = (lambda *x: True, v)
self.known_functions.u... | https://github.com/sympy/sympy/issues/6814 | ufuncify(x, x*log(10)) produces the following exception
---------------------------------------------------------------------------
CodeWrapError Traceback (most recent call last)
<ipython-input-12-f6cc06919001> in <module>()
----> 1 ufuncify(x, x*log(10))
/home/thomas/gitrepos/sympy/symp... | CodeWrapError |
def _print_Indexed(self, expr):
# calculate index for 1d array
dims = expr.shape
elem = S.Zero
offset = S.One
for i in reversed(range(expr.rank)):
elem += expr.indices[i] * offset
offset *= dims[i]
return "%s[%s]" % (self._print(expr.base.label), self._print(elem))
| def _print_Indexed(self, expr):
# calculate index for 1d array
dims = expr.shape
inds = [i.label for i in expr.indices]
elem = S.Zero
offset = S.One
for i in reversed(range(expr.rank)):
elem += offset * inds[i]
offset *= dims[i]
return "%s[%s]" % (self._print(expr.base.label)... | https://github.com/sympy/sympy/issues/6814 | ufuncify(x, x*log(10)) produces the following exception
---------------------------------------------------------------------------
CodeWrapError Traceback (most recent call last)
<ipython-input-12-f6cc06919001> in <module>()
----> 1 ufuncify(x, x*log(10))
/home/thomas/gitrepos/sympy/symp... | CodeWrapError |
def jscode(expr, assign_to=None, **settings):
"""Converts an expr to a string of javascript code
Parameters
==========
expr : Expr
A sympy expression to be converted.
assign_to : optional
When given, the argument is used as the name of the variable to which
the expression i... | def jscode(expr, assign_to=None, **settings):
"""Converts an expr to a string of javascript code
Parameters
==========
expr : sympy.core.Expr
a sympy expression to be converted
assign_to : optional
When given, the argument is used as the name of the
variable to which the Fo... | https://github.com/sympy/sympy/issues/6814 | ufuncify(x, x*log(10)) produces the following exception
---------------------------------------------------------------------------
CodeWrapError Traceback (most recent call last)
<ipython-input-12-f6cc06919001> in <module>()
----> 1 ufuncify(x, x*log(10))
/home/thomas/gitrepos/sympy/symp... | CodeWrapError |
def load_ipython_extension(ip):
"""Load the extension in IPython."""
init_printing(ip=ip)
| def load_ipython_extension(ip):
"""Load the extension in IPython."""
import IPython
global _loaded
# Use extension manager to track loaded status if available
# This is currently in IPython 0.14.dev
if hasattr(ip.extension_manager, "loaded"):
loaded = "sympy.interactive.ipythonprinting"... | https://github.com/sympy/sympy/issues/3619 | Traceback (most recent call last):
File "./setup.py", line 34, in ?
import sympy
File "/tmp/sympy/sympy/**init**.py", line 29, in ?
from printing import pretty, pretty_print, pprint, pprint_use_unicode, \
File "/tmp/sympy/sympy/printing/**init**.py", line 8, in ?
from preview import preview, view, pngview, pdfview, dvi... | ImportError |
def forward(self, x1, x2, diag=False, **params):
batch_shape = x1.shape[:-2]
n_batch_dims = len(batch_shape)
n1, d = x1.shape[-2:]
n2 = x2.shape[-2]
K = torch.zeros(
*batch_shape, n1 * (d + 1), n2 * (d + 1), device=x1.device, dtype=x1.dtype
)
if not diag:
# Scale the inputs... | def forward(self, x1, x2, diag=False, **params):
batch_shape = x1.shape[:-2]
n_batch_dims = len(batch_shape)
n1, d = x1.shape[-2:]
n2 = x2.shape[-2]
K = torch.zeros(
*batch_shape, n1 * (d + 1), n2 * (d + 1), device=x1.device, dtype=x1.dtype
)
if not diag:
# Scale the inputs... | https://github.com/cornellius-gp/gpytorch/issues/1389 | ---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-17-ecb6525006fe> in <module>
1 z = k(train_x, train_x, diag=True)
----> 2 z[0].backward()
3 print(k.raw_lengthscale.grad)
/mnt/xarfuse/uid-66331/be3771a... | RuntimeError |
def __init__(
self,
lower_bound,
upper_bound,
transform=sigmoid,
inv_transform=inv_sigmoid,
initial_value=None,
):
"""
Defines an interval constraint for GP model parameters, specified by a lower bound and upper bound. For usage
details, see the documentation for :meth:`~gpytorch.mod... | def __init__(
self,
lower_bound,
upper_bound,
transform=sigmoid,
inv_transform=inv_sigmoid,
initial_value=None,
):
"""
Defines an interval constraint for GP model parameters, specified by a lower bound and upper bound. For usage
details, see the documentation for :meth:`~gpytorch.mod... | https://github.com/cornellius-gp/gpytorch/issues/1305 | ---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-1-068518c8dae8> in <module>
33 mll = ExactMarginalLogLikelihood(likelihood, model)
34
---> 35 loss = mll(model(X), y)
~/github/gpytorch/gpytorch/module.... | RuntimeError |
def _preconditioner(self):
r"""
Here we use a partial pivoted Cholesky preconditioner:
K \approx L L^T + D
where L L^T is a low rank approximation, and D is a diagonal.
We can compute the preconditioner's inverse using Woodbury
(L L^T + D)^{-1} = D^{-1} - D^{-1} L (I + L D^{-1} L^T)^{-1} L^T ... | def _preconditioner(self):
if self.preconditioner_override is not None:
return self.preconditioner_override(self)
if (
settings.max_preconditioner_size.value() == 0
or self.size(-1) < settings.min_preconditioning_size.value()
):
return None, None, None
if self._q_cache ... | https://github.com/cornellius-gp/gpytorch/issues/1298 | RuntimeError Traceback (most recent call last)
<ipython-input-4-9e151e2de37a> in <module>
24 with gpytorch.settings.max_cholesky_size(100), gpytorch.settings.min_preconditioning_size(100):
25 train_dist = gp(train_x)
---> 26 loss = -mll(train_dist, train_y).sum()
~/Code/gpytorch/gp... | RuntimeError |
def precondition_closure(tensor):
# This makes it fast to compute solves with it
qqt = self._q_cache.matmul(self._q_cache.transpose(-2, -1).matmul(tensor))
if self._constant_diag:
return (1 / self._noise) * (tensor - qqt)
return (tensor / self._noise) - qqt
| def precondition_closure(tensor):
qqt = self._q_cache.matmul(self._q_cache.transpose(-2, -1).matmul(tensor))
if self._constant_diag:
return (1 / self._noise) * (tensor - qqt)
return (tensor / self._noise) - qqt
| https://github.com/cornellius-gp/gpytorch/issues/1298 | RuntimeError Traceback (most recent call last)
<ipython-input-4-9e151e2de37a> in <module>
24 with gpytorch.settings.max_cholesky_size(100), gpytorch.settings.min_preconditioning_size(100):
25 train_dist = gp(train_x)
---> 26 loss = -mll(train_dist, train_y).sum()
~/Code/gpytorch/gp... | RuntimeError |
def _init_cache(self):
*batch_shape, n, k = self._piv_chol_self.shape
self._noise = self._diag_tensor.diag().unsqueeze(-1)
# the check for constant diag needs to be done carefully for batches.
noise_first_element = self._noise[..., :1, :]
self._constant_diag = torch.equal(
self._noise, nois... | def _init_cache(self):
*batch_shape, n, k = self._piv_chol_self.shape
self._noise = self._diag_tensor.diag().unsqueeze(-1)
# the check for constant diag needs to be done carefully for batches.
noise_first_element = self._noise[..., :1, :]
self._constant_diag = torch.equal(
self._noise, nois... | https://github.com/cornellius-gp/gpytorch/issues/1298 | RuntimeError Traceback (most recent call last)
<ipython-input-4-9e151e2de37a> in <module>
24 with gpytorch.settings.max_cholesky_size(100), gpytorch.settings.min_preconditioning_size(100):
25 train_dist = gp(train_x)
---> 26 loss = -mll(train_dist, train_y).sum()
~/Code/gpytorch/gp... | RuntimeError |
def _init_cache_for_non_constant_diag(self, eye, batch_shape, n):
# With non-constant diagonals, we cant factor out the noise as easily
self._q_cache, self._r_cache = torch.qr(
torch.cat((self._piv_chol_self / self._noise.sqrt(), eye), dim=-2)
)
self._q_cache = self._q_cache[..., :n, :] / self._... | def _init_cache_for_non_constant_diag(self, eye, batch_shape, n):
# With non-constant diagonals, we cant factor out the noise as easily
self._q_cache, self._r_cache = torch.qr(
torch.cat((self._piv_chol_self / self._noise.sqrt(), eye))
)
self._q_cache = self._q_cache[..., :n, :] / self._noise.sq... | https://github.com/cornellius-gp/gpytorch/issues/1298 | RuntimeError Traceback (most recent call last)
<ipython-input-4-9e151e2de37a> in <module>
24 with gpytorch.settings.max_cholesky_size(100), gpytorch.settings.min_preconditioning_size(100):
25 train_dist = gp(train_x)
---> 26 loss = -mll(train_dist, train_y).sum()
~/Code/gpytorch/gp... | RuntimeError |
def __init__(self, a, b, sigma=0.01, validate_args=False, transform=None):
TModule.__init__(self)
_a = torch.tensor(float(a)) if isinstance(a, Number) else a
_a = _a.view(-1) if _a.dim() < 1 else _a
_a, _b, _sigma = broadcast_all(_a, b, sigma)
if not torch.all(constraints.less_than(_b).check(_a)):
... | def __init__(self, a, b, sigma=0.01, validate_args=False, transform=None):
TModule.__init__(self)
_a = torch.tensor(float(a)) if isinstance(a, Number) else a
_a = _a.view(-1) if _a.dim() < 1 else _a
_a, _b, _sigma = broadcast_all(_a, b, sigma)
if not torch.all(constraints.less_than(_b).check(_a)):
... | https://github.com/cornellius-gp/gpytorch/issues/1164 | ---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-5-6b4b2e881beb> in <module>
2 import gpytorch
3 pr = gpytorch.priors.SmoothedBoxPrior(torch.zeros(2), torch.ones(2))
----> 4 pr.load_state_dict(pr.state_... | RuntimeError |
def _expand_batch(self, batch_shape):
batch_dim = self.cat_dim + 2
if batch_dim < 0:
if batch_shape[batch_dim] != self.batch_shape[batch_dim]:
raise RuntimeError(
f"Trying to expand a CatLazyTensor in dimension {self.cat_dim}, but this is the concatenated "
f"... | def _expand_batch(self, batch_shape):
lazy_tensors = [
lazy_tensor._expand_batch(batch_shape) for lazy_tensor in self.lazy_tensors
]
res = self.__class__(
*lazy_tensors, dim=self.cat_dim, output_device=self.output_device
)
return res
| https://github.com/cornellius-gp/gpytorch/issues/1133 | ---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-16-0d626e17adaf> in <module>
----> 1 cmtlt + torch.randn(100, 100)
~/Documents/GitHub/gpytorch/gpytorch/lazy/lazy_tensor.py in __add__(self, other)
1625... | TypeError |
def _expand_batch(self, batch_shape):
return self.__class__(
self.base_lazy_tensor._expand_batch(batch_shape),
self._constant.expand(*batch_shape) if len(batch_shape) else self._constant,
)
| def _expand_batch(self, batch_shape):
return self.__class__(
self.base_lazy_tensor._expand_batch(batch_shape),
self._constant.expand(*batch_shape),
)
| https://github.com/cornellius-gp/gpytorch/issues/1133 | ---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-16-0d626e17adaf> in <module>
----> 1 cmtlt + torch.randn(100, 100)
~/Documents/GitHub/gpytorch/gpytorch/lazy/lazy_tensor.py in __add__(self, other)
1625... | TypeError |
def __add__(self, other):
"""
Return a :obj:`gpytorch.lazy.LazyTensor` that represents the sum of this lazy tensor and another matrix
or lazy tensor.
Args:
:attr:`other` (:obj:`torch.tensor` or :obj:`gpytorch.lazy.LazyTensor`):
Matrix to add to this one.
Returns:
:obj:`... | def __add__(self, other):
"""
Return a :obj:`gpytorch.lazy.LazyTensor` that represents the sum of this lazy tensor and another matrix
or lazy tensor.
Args:
:attr:`other` (:obj:`torch.tensor` or :obj:`gpytorch.lazy.LazyTensor`):
Matrix to add to this one.
Returns:
:obj:`... | https://github.com/cornellius-gp/gpytorch/issues/1133 | ---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-16-0d626e17adaf> in <module>
----> 1 cmtlt + torch.randn(100, 100)
~/Documents/GitHub/gpytorch/gpytorch/lazy/lazy_tensor.py in __add__(self, other)
1625... | TypeError |
def __add__(self, other):
from .diag_lazy_tensor import DiagLazyTensor
from .added_diag_lazy_tensor import AddedDiagLazyTensor
if isinstance(other, ZeroLazyTensor):
return self
elif isinstance(other, DiagLazyTensor):
return AddedDiagLazyTensor(self, other)
elif isinstance(other, Sum... | def __add__(self, other):
from .diag_lazy_tensor import DiagLazyTensor
from .added_diag_lazy_tensor import AddedDiagLazyTensor
if isinstance(other, ZeroLazyTensor):
return self
elif isinstance(other, DiagLazyTensor):
return AddedDiagLazyTensor(self, other)
elif isinstance(other, Sum... | https://github.com/cornellius-gp/gpytorch/issues/1133 | ---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-16-0d626e17adaf> in <module>
----> 1 cmtlt + torch.randn(100, 100)
~/Documents/GitHub/gpytorch/gpytorch/lazy/lazy_tensor.py in __add__(self, other)
1625... | TypeError |
def initialize_from_data_empspect(self, train_x, train_y):
"""
Initialize mixture components based on the empirical spectrum of the data.
This will often be better than the standard initialize_from_data method.
"""
import numpy as np
from scipy.fftpack import fft
from scipy.integrate import... | def initialize_from_data_empspect(self, train_x, train_y):
"""
Initialize mixture components based on the empirical spectrum of the data.
This will often be better than the standard initialize_from_data method.
"""
import numpy as np
from scipy.fftpack import fft
from scipy.integrate import... | https://github.com/cornellius-gp/gpytorch/issues/1166 | ---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-18-3796fe5ce2f5> in <module>
19
20 likelihood = gpytorch.likelihoods.GaussianLikelihood()
---> 21 model = ExactGPModel(train_x, train_y, likeliho... | IndexError |
def _getitem(self, row_index, col_index, *batch_indices):
"""
Supports subindexing of the matrix this LazyTensor represents.
The indices passed into this method will either be:
Tensor indices
Slices
..note::
LazyTensor.__getitem__ uses this as a helper method. If you are writin... | def _getitem(self, row_index, col_index, *batch_indices):
"""
Supports subindexing of the matrix this LazyTensor represents.
The indices passed into this method will either be:
Tensor indices
Slices
..note::
LazyTensor.__getitem__ uses this as a helper method. If you are writin... | https://github.com/cornellius-gp/gpytorch/issues/1065 | Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/gpytorch/lazy/lazy_evaluated_kernel_tensor.py", line 88, in _getitem
x1 = x1[(*batch_indices, row_index, dim_index)]
IndexError: too many indices for tensor of dimension 2
During handling of the above... | IndexError |
def _shaped_noise_covar(self, base_shape: torch.Size, *params: Any, **kwargs: Any):
return self.noise_covar(*params, shape=base_shape, **kwargs)
| def _shaped_noise_covar(self, base_shape: torch.Size, *params: Any, **kwargs: Any):
if len(params) > 0:
# we can infer the shape from the params
shape = None
else:
# here shape[:-1] is the batch shape requested, and shape[-1] is `n`, the number of points
shape = base_shape
re... | https://github.com/cornellius-gp/gpytorch/issues/1084 | Traceback (most recent call last):
File "<ipython-input-1-88b9df752e72>", line 1, in <module>
runfile('/home/user/Desktop/dl-dev python/gp_examples/test.py', wdir='/home/user/Desktop/dl-dev python/gp_examples')
File "/home/user/anaconda3/envs/dkl/lib/python3.6/site-packages/spyder_kernels/customize/spydercustomize.py... | RuntimeError |
def forward(self, x1, x2, diag=False, **params):
x1_ = x1.div(self.period_length)
x2_ = x2.div(self.period_length)
diff = self.covar_dist(x1_, x2_, diag=diag, **params)
res = torch.sin(diff.mul(math.pi)).pow(2).mul(-2 / self.lengthscale).exp_()
if diag:
res = res.squeeze(0)
return res
| def forward(self, x1, x2, diag=False, **params):
x1_ = x1.div(self.period_length)
x2_ = x2.div(self.period_length)
diff = self.covar_dist(x1_, x2_, diag=diag, **params)
res = torch.sin(diff.mul(math.pi)).pow(2).mul(-2 / self.lengthscale).exp_()
if diff.ndimension() == 2 or diag:
res = res.sq... | https://github.com/cornellius-gp/gpytorch/issues/1011 | Traceback (most recent call last):
File "<ipython-input-13-effc04c4ab77>", line 61, in <module>
loss = -mll(output, train_y) ## NOTE fails here.
File "/Users/val/opt/anaconda3/lib/python3.7/site-packages/gpytorch/module.py", line 24, in __call__
outputs = self.forward(*inputs, **kwargs)
File "/Users/val/opt/anaconda... | IndexError |
def expand(self, expand_shape, _instance=None):
batch_shape = torch.Size(expand_shape)
return HorseshoePrior(self.scale.expand(batch_shape))
| def expand(self, expand_shape, _instance=None):
new = self._get_checked_instance(HorseshoePrior)
batch_shape = torch.Size(expand_shape)
new.scale = self.scale.expand(batch_shape)
super(Distribution, new).__init__(batch_shape)
new._validate_args = self._validate_args
return new
| https://github.com/cornellius-gp/gpytorch/issues/976 | Warmup: 0%| | 0/300 [00:00, ?it/s]
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-22-1dcdc695642b> in <module>
9 nuts_kernel = pyro.infer.mcmc.NUTS(pyro_model, adapt_step_size=True)
10 mcmc... | AttributeError |
def expand(self, batch_shape):
batch_shape = torch.Size(batch_shape)
return NormalPrior(self.loc.expand(batch_shape), self.scale.expand(batch_shape))
| def expand(self, batch_shape):
return Normal.expand(self, batch_shape, _instance=self)
| https://github.com/cornellius-gp/gpytorch/issues/976 | Warmup: 0%| | 0/300 [00:00, ?it/s]
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-22-1dcdc695642b> in <module>
9 nuts_kernel = pyro.infer.mcmc.NUTS(pyro_model, adapt_step_size=True)
10 mcmc... | AttributeError |
def expand(self, batch_shape):
batch_shape = torch.Size(batch_shape)
return LogNormalPrior(self.loc.expand(batch_shape), self.scale.expand(batch_shape))
| def expand(self, batch_shape):
return LogNormal.expand(self, batch_shape, _instance=self)
| https://github.com/cornellius-gp/gpytorch/issues/976 | Warmup: 0%| | 0/300 [00:00, ?it/s]
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-22-1dcdc695642b> in <module>
9 nuts_kernel = pyro.infer.mcmc.NUTS(pyro_model, adapt_step_size=True)
10 mcmc... | AttributeError |
def expand(self, batch_shape):
batch_shape = torch.Size(batch_shape)
return UniformPrior(self.low.expand(batch_shape), self.high.expand(batch_shape))
| def expand(self, batch_shape):
return Uniform.expand(self, batch_shape, _instance=self)
| https://github.com/cornellius-gp/gpytorch/issues/976 | Warmup: 0%| | 0/300 [00:00, ?it/s]
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-22-1dcdc695642b> in <module>
9 nuts_kernel = pyro.infer.mcmc.NUTS(pyro_model, adapt_step_size=True)
10 mcmc... | AttributeError |
def expand(self, batch_shape):
batch_shape = torch.Size(batch_shape)
return GammaPrior(
self.concentration.expand(batch_shape), self.rate.expand(batch_shape)
)
| def expand(self, batch_shape):
return Gamma.expand(self, batch_shape, _instance=self)
| https://github.com/cornellius-gp/gpytorch/issues/976 | Warmup: 0%| | 0/300 [00:00, ?it/s]
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-22-1dcdc695642b> in <module>
9 nuts_kernel = pyro.infer.mcmc.NUTS(pyro_model, adapt_step_size=True)
10 mcmc... | AttributeError |
def interpolate(
self,
x_grid: List[torch.Tensor],
x_target: torch.Tensor,
interp_points=range(-2, 2),
eps=1e-10,
):
if torch.is_tensor(x_grid):
x_grid = convert_legacy_grid(x_grid)
num_target_points = x_target.size(0)
num_dim = x_target.size(-1)
assert num_dim == len(x_grid)... | def interpolate(
self, x_grid: List[torch.Tensor], x_target: torch.Tensor, interp_points=range(-2, 2)
):
if torch.is_tensor(x_grid):
x_grid = convert_legacy_grid(x_grid)
num_target_points = x_target.size(0)
num_dim = x_target.size(-1)
assert num_dim == len(x_grid)
grid_sizes = [len(x_gr... | https://github.com/cornellius-gp/gpytorch/issues/955 | Traceback (most recent call last):
File "gp.py", line 24, in <module>
exact.train()
File "/st2/jeff/real_estate/models/gaussian_processes/exact.py", line 102, in train
loss = -mll(output, train_y).sum()
File "/st2/jeff/anaconda3/envs/jeff/lib/python3.7/site-packages/gpytorch/module.py", line 22, in __call__
outputs = s... | RuntimeError |
def __init__(self, mean, covariance_matrix, validate_args=False, interleaved=True):
if not torch.is_tensor(mean) and not isinstance(mean, LazyTensor):
raise RuntimeError(
"The mean of a MultitaskMultivariateNormal must be a Tensor or LazyTensor"
)
if not torch.is_tensor(covariance_m... | def __init__(self, mean, covariance_matrix, validate_args=False, interleaved=True):
"""
Constructs a multi-output multivariate Normal random variable, based on mean and covariance
Can be multi-output multivariate, or a batch of multi-output multivariate Normal
Passing a matrix mean corresponds to a mul... | https://github.com/cornellius-gp/gpytorch/issues/905 | ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-6-c955f39ee560> in <module>
4 with torch.no_grad():
5 for x_batch, y_batch in test_loader:
----> 6 preds = model(x_batch)
7 means = t... | AttributeError |
def from_independent_mvns(cls, mvns):
"""
Convert an iterable of MVNs into a :obj:`~gpytorch.distributions.MultitaskMultivariateNormal`.
The resulting distribution will have :attr:`len(mvns)` tasks, and the tasks will be independent.
:param ~gpytorch.distributions.MultitaskNormal mvn: The base MVN dist... | def from_independent_mvns(cls, mvns):
if len(mvns) < 2:
raise ValueError(
"Must provide at least 2 MVNs to form a MultitaskMultivariateNormal"
)
if any(isinstance(mvn, MultitaskMultivariateNormal) for mvn in mvns):
raise ValueError("Cannot accept MultitaskMultivariateNormals"... | https://github.com/cornellius-gp/gpytorch/issues/905 | ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-6-c955f39ee560> in <module>
4 with torch.no_grad():
5 for x_batch, y_batch in test_loader:
----> 6 preds = model(x_batch)
7 means = t... | AttributeError |
def get_base_samples(self, sample_shape=torch.Size()):
base_samples = super().get_base_samples(sample_shape)
if not self._interleaved:
# flip shape of last two dimensions
new_shape = sample_shape + self._output_shape[:-2] + self._output_shape[:-3:-1]
return base_samples.view(new_shape).t... | def get_base_samples(self, sample_shape=torch.Size()):
"""Get i.i.d. standard Normal samples (to be used with rsample(base_samples=base_samples))"""
base_samples = super().get_base_samples(sample_shape)
if not self._interleaved:
# flip shape of last two dimensions
new_shape = sample_shape + ... | https://github.com/cornellius-gp/gpytorch/issues/905 | ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-6-c955f39ee560> in <module>
4 with torch.no_grad():
5 for x_batch, y_batch in test_loader:
----> 6 preds = model(x_batch)
7 means = t... | AttributeError |
def __init__(self, mean, covariance_matrix, validate_args=False):
self._islazy = isinstance(mean, LazyTensor) or isinstance(
covariance_matrix, LazyTensor
)
if self._islazy:
if validate_args:
# TODO: add argument validation
raise NotImplementedError()
self.loc... | def __init__(self, mean, covariance_matrix, validate_args=False):
self._islazy = isinstance(mean, LazyTensor) or isinstance(
covariance_matrix, LazyTensor
)
if self._islazy:
if validate_args:
# TODO: add argument validation
raise NotImplementedError()
self.loc... | https://github.com/cornellius-gp/gpytorch/issues/905 | ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-6-c955f39ee560> in <module>
4 with torch.no_grad():
5 for x_batch, y_batch in test_loader:
----> 6 preds = model(x_batch)
7 means = t... | AttributeError |
def confidence_region(self):
"""
Returns 2 standard deviations above and below the mean.
:rtype: (torch.Tensor, torch.Tensor)
:return: pair of tensors of size (b x d) or (d), where
b is the batch size and d is the dimensionality of the random
variable. The first (second) Tensor is the l... | def confidence_region(self):
"""
Returns 2 standard deviations above and below the mean.
Returns:
Tuple[Tensor, Tensor]: pair of tensors of size (b x d) or (d), where
b is the batch size and d is the dimensionality of the random
variable. The first (second) Tensor is the low... | https://github.com/cornellius-gp/gpytorch/issues/905 | ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-6-c955f39ee560> in <module>
4 with torch.no_grad():
5 for x_batch, y_batch in test_loader:
----> 6 preds = model(x_batch)
7 means = t... | AttributeError |
def get_base_samples(self, sample_shape=torch.Size()):
"""Get i.i.d. standard Normal samples (to be used with rsample(base_samples=base_samples))"""
return super().get_base_samples(sample_shape=sample_shape)
| def get_base_samples(self, sample_shape=torch.Size()):
"""Get i.i.d. standard Normal samples (to be used with rsample(base_samples=base_samples))"""
with torch.no_grad():
shape = self._extended_shape(sample_shape)
base_samples = _standard_normal(
shape, dtype=self.loc.dtype, device=s... | https://github.com/cornellius-gp/gpytorch/issues/905 | ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-6-c955f39ee560> in <module>
4 with torch.no_grad():
5 for x_batch, y_batch in test_loader:
----> 6 preds = model(x_batch)
7 means = t... | AttributeError |
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