repository_name stringlengths 5 67 | func_path_in_repository stringlengths 4 234 | func_name stringlengths 0 314 | whole_func_string stringlengths 52 3.87M | language stringclasses 6
values | func_code_string stringlengths 52 3.87M | func_documentation_string stringlengths 1 47.2k | func_code_url stringlengths 85 339 |
|---|---|---|---|---|---|---|---|
Valassis-Digital-Media/spylon | spylon/common.py | as_iterable | def as_iterable(iterable_or_scalar):
"""Utility for converting an object to an iterable.
Parameters
----------
iterable_or_scalar : anything
Returns
-------
l : iterable
If `obj` was None, return the empty tuple.
If `obj` was not iterable returns a 1-tuple containing `obj`.... | python | def as_iterable(iterable_or_scalar):
"""Utility for converting an object to an iterable.
Parameters
----------
iterable_or_scalar : anything
Returns
-------
l : iterable
If `obj` was None, return the empty tuple.
If `obj` was not iterable returns a 1-tuple containing `obj`.... | Utility for converting an object to an iterable.
Parameters
----------
iterable_or_scalar : anything
Returns
-------
l : iterable
If `obj` was None, return the empty tuple.
If `obj` was not iterable returns a 1-tuple containing `obj`.
Otherwise return `obj`
Notes
... | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/common.py#L30-L69 |
Valassis-Digital-Media/spylon | spylon/spark/utils.py | SparkJVMHelpers.classloader | def classloader(self):
"""Returns the private class loader that spark uses.
This is needed since jars added with --jars are not easily resolvable by py4j's classloader
"""
return self.jvm.org.apache.spark.util.Utils.getContextOrSparkClassLoader() | python | def classloader(self):
"""Returns the private class loader that spark uses.
This is needed since jars added with --jars are not easily resolvable by py4j's classloader
"""
return self.jvm.org.apache.spark.util.Utils.getContextOrSparkClassLoader() | Returns the private class loader that spark uses.
This is needed since jars added with --jars are not easily resolvable by py4j's classloader | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/utils.py#L68-L73 |
Valassis-Digital-Media/spylon | spylon/spark/utils.py | SparkJVMHelpers.get_java_container | def get_java_container(self, package_name=None, object_name=None, java_class_instance=None):
"""Convenience method to get the container that houses methods we wish to call a method on.
"""
if package_name is not None:
jcontainer = self.import_scala_package_object(package_name)
... | python | def get_java_container(self, package_name=None, object_name=None, java_class_instance=None):
"""Convenience method to get the container that houses methods we wish to call a method on.
"""
if package_name is not None:
jcontainer = self.import_scala_package_object(package_name)
... | Convenience method to get the container that houses methods we wish to call a method on. | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/utils.py#L75-L87 |
Valassis-Digital-Media/spylon | spylon/spark/utils.py | SparkJVMHelpers.wrap_function_cols | def wrap_function_cols(self, name, package_name=None, object_name=None, java_class_instance=None, doc=""):
"""Utility method for wrapping a scala/java function that returns a spark sql Column.
This assumes that the function that you are wrapping takes a list of spark sql Column objects as its arguments... | python | def wrap_function_cols(self, name, package_name=None, object_name=None, java_class_instance=None, doc=""):
"""Utility method for wrapping a scala/java function that returns a spark sql Column.
This assumes that the function that you are wrapping takes a list of spark sql Column objects as its arguments... | Utility method for wrapping a scala/java function that returns a spark sql Column.
This assumes that the function that you are wrapping takes a list of spark sql Column objects as its arguments. | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/utils.py#L89-L104 |
Valassis-Digital-Media/spylon | spylon/spark/utils.py | SparkJVMHelpers.wrap_spark_sql_udf | def wrap_spark_sql_udf(self, name, package_name=None, object_name=None, java_class_instance=None, doc=""):
"""Wraps a scala/java spark user defined function """
def _(*cols):
jcontainer = self.get_java_container(package_name=package_name, object_name=object_name, java_class_instance=java_cla... | python | def wrap_spark_sql_udf(self, name, package_name=None, object_name=None, java_class_instance=None, doc=""):
"""Wraps a scala/java spark user defined function """
def _(*cols):
jcontainer = self.get_java_container(package_name=package_name, object_name=object_name, java_class_instance=java_cla... | Wraps a scala/java spark user defined function | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/utils.py#L106-L117 |
Valassis-Digital-Media/spylon | update_spark_params.py | _save_documentation | def _save_documentation(version, base_url="https://spark.apache.org/docs"):
"""
Write the spark property documentation to a file
"""
target_dir = join(dirname(__file__), 'spylon', 'spark')
with open(join(target_dir, "spark_properties_{}.json".format(version)), 'w') as fp:
all_props = _fetch_... | python | def _save_documentation(version, base_url="https://spark.apache.org/docs"):
"""
Write the spark property documentation to a file
"""
target_dir = join(dirname(__file__), 'spylon', 'spark')
with open(join(target_dir, "spark_properties_{}.json".format(version)), 'w') as fp:
all_props = _fetch_... | Write the spark property documentation to a file | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/update_spark_params.py#L16-L25 |
Valassis-Digital-Media/spylon | spylon/spark/progress.py | _pretty_time_delta | def _pretty_time_delta(td):
"""Creates a string representation of a time delta.
Parameters
----------
td : :class:`datetime.timedelta`
Returns
-------
pretty_formatted_datetime : str
"""
seconds = td.total_seconds()
sign_string = '-' if seconds < 0 else ''
seconds = abs(int... | python | def _pretty_time_delta(td):
"""Creates a string representation of a time delta.
Parameters
----------
td : :class:`datetime.timedelta`
Returns
-------
pretty_formatted_datetime : str
"""
seconds = td.total_seconds()
sign_string = '-' if seconds < 0 else ''
seconds = abs(int... | Creates a string representation of a time delta.
Parameters
----------
td : :class:`datetime.timedelta`
Returns
-------
pretty_formatted_datetime : str | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/progress.py#L34-L59 |
Valassis-Digital-Media/spylon | spylon/spark/progress.py | _format_stage_info | def _format_stage_info(bar_width, stage_info, duration, timedelta_formatter=_pretty_time_delta):
"""Formats the Spark stage progress.
Parameters
----------
bar_width : int
Width of the progressbar to print out.
stage_info : :class:`pyspark.status.StageInfo`
Information about the run... | python | def _format_stage_info(bar_width, stage_info, duration, timedelta_formatter=_pretty_time_delta):
"""Formats the Spark stage progress.
Parameters
----------
bar_width : int
Width of the progressbar to print out.
stage_info : :class:`pyspark.status.StageInfo`
Information about the run... | Formats the Spark stage progress.
Parameters
----------
bar_width : int
Width of the progressbar to print out.
stage_info : :class:`pyspark.status.StageInfo`
Information about the running stage
stage_id : int
Unique ID of the stage
duration : :class:`datetime.timedelta`
... | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/progress.py#L62-L95 |
Valassis-Digital-Media/spylon | spylon/spark/progress.py | start | def start(sc, timedelta_formatter=_pretty_time_delta, bar_width=20, sleep_time=0.5):
"""Creates a :class:`ProgressPrinter` that polls the SparkContext for information
about active stage progress and prints that information to stderr.
The printer runs in a thread and is useful for showing text-based
pro... | python | def start(sc, timedelta_formatter=_pretty_time_delta, bar_width=20, sleep_time=0.5):
"""Creates a :class:`ProgressPrinter` that polls the SparkContext for information
about active stage progress and prints that information to stderr.
The printer runs in a thread and is useful for showing text-based
pro... | Creates a :class:`ProgressPrinter` that polls the SparkContext for information
about active stage progress and prints that information to stderr.
The printer runs in a thread and is useful for showing text-based
progress bars in interactive environments (e.g., REPLs, Jupyter Notebooks).
This function ... | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/progress.py#L205-L238 |
Valassis-Digital-Media/spylon | spylon/spark/progress.py | ProgressPrinter.resume | def resume(self):
"""Resume progress updates."""
with self.condition:
self.paused = False
self.condition.notify_all() | python | def resume(self):
"""Resume progress updates."""
with self.condition:
self.paused = False
self.condition.notify_all() | Resume progress updates. | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/progress.py#L146-L150 |
Valassis-Digital-Media/spylon | spylon/spark/progress.py | ProgressPrinter.run | def run(self):
"""Run the progress printing loop."""
last_status = ''
# lambda is used to avoid http://bugs.python.org/issue30473 in py36
start_times = defaultdict(lambda: datetime.datetime.now())
max_stage_id = -1
status = self.sc.statusTracker()
while True:
... | python | def run(self):
"""Run the progress printing loop."""
last_status = ''
# lambda is used to avoid http://bugs.python.org/issue30473 in py36
start_times = defaultdict(lambda: datetime.datetime.now())
max_stage_id = -1
status = self.sc.statusTracker()
while True:
... | Run the progress printing loop. | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/progress.py#L152-L199 |
Valassis-Digital-Media/spylon | spylon/spark/yarn_launcher.py | create_conda_env | def create_conda_env(sandbox_dir, env_name, dependencies, options=()):
"""
Create a conda environment inside the current sandbox for the given list of dependencies and options.
Parameters
----------
sandbox_dir : str
env_name : str
dependencies : list
List of conda specs
options... | python | def create_conda_env(sandbox_dir, env_name, dependencies, options=()):
"""
Create a conda environment inside the current sandbox for the given list of dependencies and options.
Parameters
----------
sandbox_dir : str
env_name : str
dependencies : list
List of conda specs
options... | Create a conda environment inside the current sandbox for the given list of dependencies and options.
Parameters
----------
sandbox_dir : str
env_name : str
dependencies : list
List of conda specs
options
List of additional options to pass to conda. Things like ["-c", "conda-fo... | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/yarn_launcher.py#L46-L72 |
Valassis-Digital-Media/spylon | spylon/spark/yarn_launcher.py | archive_dir | def archive_dir(env_dir):
"""
Compresses the directory and writes to its parent
Parameters
----------
env_dir : str
Returns
-------
str
"""
output_filename = env_dir + ".zip"
log.info("Archiving conda environment: %s -> %s", env_dir, output_filename)
subprocess.check_ca... | python | def archive_dir(env_dir):
"""
Compresses the directory and writes to its parent
Parameters
----------
env_dir : str
Returns
-------
str
"""
output_filename = env_dir + ".zip"
log.info("Archiving conda environment: %s -> %s", env_dir, output_filename)
subprocess.check_ca... | Compresses the directory and writes to its parent
Parameters
----------
env_dir : str
Returns
-------
str | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/yarn_launcher.py#L75-L90 |
Valassis-Digital-Media/spylon | spylon/spark/yarn_launcher.py | prepare_pyspark_yarn_interactive | def prepare_pyspark_yarn_interactive(env_name, env_archive, spark_conf):
"""
This ASSUMES that you have a compatible python environment running on the other side.
WARNING: Injects "PYSPARK_DRIVER_PYTHON" and "PYSPARK_PYTHON" as
environmental variables into your current environment
Parameters
-... | python | def prepare_pyspark_yarn_interactive(env_name, env_archive, spark_conf):
"""
This ASSUMES that you have a compatible python environment running on the other side.
WARNING: Injects "PYSPARK_DRIVER_PYTHON" and "PYSPARK_PYTHON" as
environmental variables into your current environment
Parameters
-... | This ASSUMES that you have a compatible python environment running on the other side.
WARNING: Injects "PYSPARK_DRIVER_PYTHON" and "PYSPARK_PYTHON" as
environmental variables into your current environment
Parameters
----------
env_name : str
env_archive : str
spark_conf : SparkConfiguratio... | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/yarn_launcher.py#L94-L158 |
Valassis-Digital-Media/spylon | spylon/spark/yarn_launcher.py | run_pyspark_yarn_cluster | def run_pyspark_yarn_cluster(env_dir, env_name, env_archive, args):
"""
Initializes the requires spark command line options on order to start a python job with the given python environment.
Parameters
----------
env_dir : str
env_name : str
env_archive : str
args : list
Returns
... | python | def run_pyspark_yarn_cluster(env_dir, env_name, env_archive, args):
"""
Initializes the requires spark command line options on order to start a python job with the given python environment.
Parameters
----------
env_dir : str
env_name : str
env_archive : str
args : list
Returns
... | Initializes the requires spark command line options on order to start a python job with the given python environment.
Parameters
----------
env_dir : str
env_name : str
env_archive : str
args : list
Returns
-------
This call will spawn a child process and block until that is comple... | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/yarn_launcher.py#L204-L241 |
Valassis-Digital-Media/spylon | spylon/spark/yarn_launcher.py | launcher | def launcher(deploy_mode, args, working_dir=".", cleanup=True):
"""Initializes arguments and starts up pyspark with the correct deploy mode and environment.
Parameters
----------
deploy_mode : {"client", "cluster"}
args : list
Arguments to pass onwards to spark submit.
working_dir : str... | python | def launcher(deploy_mode, args, working_dir=".", cleanup=True):
"""Initializes arguments and starts up pyspark with the correct deploy mode and environment.
Parameters
----------
deploy_mode : {"client", "cluster"}
args : list
Arguments to pass onwards to spark submit.
working_dir : str... | Initializes arguments and starts up pyspark with the correct deploy mode and environment.
Parameters
----------
deploy_mode : {"client", "cluster"}
args : list
Arguments to pass onwards to spark submit.
working_dir : str, optional
Path to working directory to use for creating conda ... | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/yarn_launcher.py#L299-L360 |
Valassis-Digital-Media/spylon | spylon/spark/yarn_launcher.py | _extract_local_archive | def _extract_local_archive(working_dir, cleanup_functions, env_name, local_archive):
"""Helper internal function for extracting a zipfile and ensure that a cleanup is queued.
Parameters
----------
working_dir : str
cleanup_functions : List[() -> NoneType]
env_name : str
local_archive : str
... | python | def _extract_local_archive(working_dir, cleanup_functions, env_name, local_archive):
"""Helper internal function for extracting a zipfile and ensure that a cleanup is queued.
Parameters
----------
working_dir : str
cleanup_functions : List[() -> NoneType]
env_name : str
local_archive : str
... | Helper internal function for extracting a zipfile and ensure that a cleanup is queued.
Parameters
----------
working_dir : str
cleanup_functions : List[() -> NoneType]
env_name : str
local_archive : str | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/yarn_launcher.py#L363-L392 |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | keyfilter | def keyfilter(predicate, d, factory=dict):
""" Filter items in dictionary by key
>>> iseven = lambda x: x % 2 == 0
>>> d = {1: 2, 2: 3, 3: 4, 4: 5}
>>> keyfilter(iseven, d)
{2: 3, 4: 5}
See Also:
valfilter
itemfilter
keymap
"""
rv = factory()
for k, v in ite... | python | def keyfilter(predicate, d, factory=dict):
""" Filter items in dictionary by key
>>> iseven = lambda x: x % 2 == 0
>>> d = {1: 2, 2: 3, 3: 4, 4: 5}
>>> keyfilter(iseven, d)
{2: 3, 4: 5}
See Also:
valfilter
itemfilter
keymap
"""
rv = factory()
for k, v in ite... | Filter items in dictionary by key
>>> iseven = lambda x: x % 2 == 0
>>> d = {1: 2, 2: 3, 3: 4, 4: 5}
>>> keyfilter(iseven, d)
{2: 3, 4: 5}
See Also:
valfilter
itemfilter
keymap | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L77-L94 |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | with_spark_context | def with_spark_context(application_name, conf=None):
"""Context manager for a spark context
Parameters
----------
application_name : string
conf : string, optional
Returns
-------
sc : SparkContext
Examples
--------
Used within a context manager
>>> with with_spark_con... | python | def with_spark_context(application_name, conf=None):
"""Context manager for a spark context
Parameters
----------
application_name : string
conf : string, optional
Returns
-------
sc : SparkContext
Examples
--------
Used within a context manager
>>> with with_spark_con... | Context manager for a spark context
Parameters
----------
application_name : string
conf : string, optional
Returns
-------
sc : SparkContext
Examples
--------
Used within a context manager
>>> with with_spark_context("MyApplication") as sc:
... # Your Code here
... | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L552-L580 |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | with_sql_context | def with_sql_context(application_name, conf=None):
"""Context manager for a spark context
Returns
-------
sc : SparkContext
sql_context: SQLContext
Examples
--------
Used within a context manager
>>> with with_sql_context("MyApplication") as (sc, sql_context):
... import py... | python | def with_sql_context(application_name, conf=None):
"""Context manager for a spark context
Returns
-------
sc : SparkContext
sql_context: SQLContext
Examples
--------
Used within a context manager
>>> with with_sql_context("MyApplication") as (sc, sql_context):
... import py... | Context manager for a spark context
Returns
-------
sc : SparkContext
sql_context: SQLContext
Examples
--------
Used within a context manager
>>> with with_sql_context("MyApplication") as (sc, sql_context):
... import pyspark
... # Do stuff
... pass | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L584-L610 |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | _SparkConfHelper.set_if_unset | def set_if_unset(self, key, value):
"""Set a particular spark property by the string key name if it hasn't already been set.
This method allows chaining so that i can provide a similar feel to the standard Scala way of setting
multiple configurations
Parameters
----------
... | python | def set_if_unset(self, key, value):
"""Set a particular spark property by the string key name if it hasn't already been set.
This method allows chaining so that i can provide a similar feel to the standard Scala way of setting
multiple configurations
Parameters
----------
... | Set a particular spark property by the string key name if it hasn't already been set.
This method allows chaining so that i can provide a similar feel to the standard Scala way of setting
multiple configurations
Parameters
----------
key : string
value : string
... | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L297-L314 |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | SparkConfiguration._repr_pretty_ | def _repr_pretty_(self, p, cycle):
"""Pretty printer for the spark cnofiguration"""
from IPython.lib.pretty import RepresentationPrinter
assert isinstance(p, RepresentationPrinter)
p.begin_group(1, "SparkConfiguration(")
def kv(k, v, do_comma=True):
p.text(k)
... | python | def _repr_pretty_(self, p, cycle):
"""Pretty printer for the spark cnofiguration"""
from IPython.lib.pretty import RepresentationPrinter
assert isinstance(p, RepresentationPrinter)
p.begin_group(1, "SparkConfiguration(")
def kv(k, v, do_comma=True):
p.text(k)
... | Pretty printer for the spark cnofiguration | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L350-L369 |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | SparkConfiguration._set_launcher_property | def _set_launcher_property(self, driver_arg_key, spark_property_key):
"""Handler for a special property that exists in both the launcher arguments and the spark conf dictionary.
This will use the launcher argument if set falling back to the spark conf argument. If neither are set this is
a noo... | python | def _set_launcher_property(self, driver_arg_key, spark_property_key):
"""Handler for a special property that exists in both the launcher arguments and the spark conf dictionary.
This will use the launcher argument if set falling back to the spark conf argument. If neither are set this is
a noo... | Handler for a special property that exists in both the launcher arguments and the spark conf dictionary.
This will use the launcher argument if set falling back to the spark conf argument. If neither are set this is
a noop (which means that the standard spark defaults will be used).
Since `sp... | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L411-L432 |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | SparkConfiguration._set_environment_variables | def _set_environment_variables(self):
"""Initializes the correct environment variables for spark"""
cmd = []
# special case for driver JVM properties.
self._set_launcher_property("driver-memory", "spark.driver.memory")
self._set_launcher_property("driver-library-path", "spark.dr... | python | def _set_environment_variables(self):
"""Initializes the correct environment variables for spark"""
cmd = []
# special case for driver JVM properties.
self._set_launcher_property("driver-memory", "spark.driver.memory")
self._set_launcher_property("driver-library-path", "spark.dr... | Initializes the correct environment variables for spark | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L434-L460 |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | SparkConfiguration._init_spark | def _init_spark(self):
"""Initializes spark so that pyspark is importable. This also sets up the required environment variables
"""
global _SPARK_INITIALIZED
spark_home = self.spark_home
python_path = self._python_path
if use_findspark:
if _SPARK_INITIALIZED... | python | def _init_spark(self):
"""Initializes spark so that pyspark is importable. This also sets up the required environment variables
"""
global _SPARK_INITIALIZED
spark_home = self.spark_home
python_path = self._python_path
if use_findspark:
if _SPARK_INITIALIZED... | Initializes spark so that pyspark is importable. This also sets up the required environment variables | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L462-L483 |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | SparkConfiguration.spark_context | def spark_context(self, application_name):
"""Create a spark context given the parameters configured in this class.
The caller is responsible for calling ``.close`` on the resulting spark context
Parameters
----------
application_name : string
Returns
-------
... | python | def spark_context(self, application_name):
"""Create a spark context given the parameters configured in this class.
The caller is responsible for calling ``.close`` on the resulting spark context
Parameters
----------
application_name : string
Returns
-------
... | Create a spark context given the parameters configured in this class.
The caller is responsible for calling ``.close`` on the resulting spark context
Parameters
----------
application_name : string
Returns
-------
sc : SparkContext | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L497-L522 |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | SparkConfiguration.sql_context | def sql_context(self, application_name):
"""Create a spark context given the parameters configured in this class.
The caller is responsible for calling ``.close`` on the resulting spark context
Parameters
----------
application_name : string
Returns
-------
... | python | def sql_context(self, application_name):
"""Create a spark context given the parameters configured in this class.
The caller is responsible for calling ``.close`` on the resulting spark context
Parameters
----------
application_name : string
Returns
-------
... | Create a spark context given the parameters configured in this class.
The caller is responsible for calling ``.close`` on the resulting spark context
Parameters
----------
application_name : string
Returns
-------
sc : SparkContext | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L524-L540 |
wepay/Python-SDK | wepay/api.py | WePay.call | def call(self, uri, params=None, token=None, risk_token=None, client_ip=None):
"""
Calls wepay.com/v2/``uri`` with ``params`` and returns the JSON
response as a python dict. The optional token parameter will override
the instance's access_token if it is set.
:param str uri: The ... | python | def call(self, uri, params=None, token=None, risk_token=None, client_ip=None):
"""
Calls wepay.com/v2/``uri`` with ``params`` and returns the JSON
response as a python dict. The optional token parameter will override
the instance's access_token if it is set.
:param str uri: The ... | Calls wepay.com/v2/``uri`` with ``params`` and returns the JSON
response as a python dict. The optional token parameter will override
the instance's access_token if it is set.
:param str uri: The URI on the API endpoint to call.
:param dict params: The parameters to pass to the URI.
... | https://github.com/wepay/Python-SDK/blob/26b2d81a61215e17442583120f2bace4ae0c38f8/wepay/api.py#L34-L75 |
wepay/Python-SDK | wepay/api.py | WePay.get_authorization_url | def get_authorization_url(self, redirect_uri, client_id, options=None,
scope=None):
"""
Returns a URL to send the user to in order to get authorization.
After getting authorization the user will return to redirect_uri.
Optionally, scope can be set to limit p... | python | def get_authorization_url(self, redirect_uri, client_id, options=None,
scope=None):
"""
Returns a URL to send the user to in order to get authorization.
After getting authorization the user will return to redirect_uri.
Optionally, scope can be set to limit p... | Returns a URL to send the user to in order to get authorization.
After getting authorization the user will return to redirect_uri.
Optionally, scope can be set to limit permissions, and the options
dict can be loaded with any combination of state, user_name
or user_email.
:param... | https://github.com/wepay/Python-SDK/blob/26b2d81a61215e17442583120f2bace4ae0c38f8/wepay/api.py#L77-L104 |
wepay/Python-SDK | wepay/api.py | WePay.get_token | def get_token(
self, redirect_uri, client_id, client_secret,
code, callback_uri=None):
"""
Calls wepay.com/v2/oauth2/token to get an access token. Sets the
access_token for the WePay instance and returns the entire response
as a dict. Should only be called after t... | python | def get_token(
self, redirect_uri, client_id, client_secret,
code, callback_uri=None):
"""
Calls wepay.com/v2/oauth2/token to get an access token. Sets the
access_token for the WePay instance and returns the entire response
as a dict. Should only be called after t... | Calls wepay.com/v2/oauth2/token to get an access token. Sets the
access_token for the WePay instance and returns the entire response
as a dict. Should only be called after the user returns from being
sent to get_authorization_url.
:param str redirect_uri: The same URI specified in the
... | https://github.com/wepay/Python-SDK/blob/26b2d81a61215e17442583120f2bace4ae0c38f8/wepay/api.py#L106-L142 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.figure | def figure(bgcolor=(1,1,1), size=(1000,1000)):
"""Create a blank figure.
Parameters
----------
bgcolor : (3,) float
Color of the background with values in [0,1].
size : (2,) int
Width and height of the figure in pixels.
"""
Visualizer3D._sce... | python | def figure(bgcolor=(1,1,1), size=(1000,1000)):
"""Create a blank figure.
Parameters
----------
bgcolor : (3,) float
Color of the background with values in [0,1].
size : (2,) int
Width and height of the figure in pixels.
"""
Visualizer3D._sce... | Create a blank figure.
Parameters
----------
bgcolor : (3,) float
Color of the background with values in [0,1].
size : (2,) int
Width and height of the figure in pixels. | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L32-L44 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.show | def show(animate=False, axis=np.array([0.,0.,1.]), clf=True, **kwargs):
"""Display the current figure and enable interaction.
Parameters
----------
animate : bool
Whether or not to animate the scene.
axis : (3,) float or None
If present, the animation wil... | python | def show(animate=False, axis=np.array([0.,0.,1.]), clf=True, **kwargs):
"""Display the current figure and enable interaction.
Parameters
----------
animate : bool
Whether or not to animate the scene.
axis : (3,) float or None
If present, the animation wil... | Display the current figure and enable interaction.
Parameters
----------
animate : bool
Whether or not to animate the scene.
axis : (3,) float or None
If present, the animation will rotate about the given axis in world coordinates.
Otherwise, the anim... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L48-L72 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.render | def render(n_frames=1, axis=np.array([0.,0.,1.]), clf=True, **kwargs):
"""Render frames from the viewer.
Parameters
----------
n_frames : int
Number of frames to render. If more than one, the scene will animate.
axis : (3,) float or None
If present, the a... | python | def render(n_frames=1, axis=np.array([0.,0.,1.]), clf=True, **kwargs):
"""Render frames from the viewer.
Parameters
----------
n_frames : int
Number of frames to render. If more than one, the scene will animate.
axis : (3,) float or None
If present, the a... | Render frames from the viewer.
Parameters
----------
n_frames : int
Number of frames to render. If more than one, the scene will animate.
axis : (3,) float or None
If present, the animation will rotate about the given axis in world coordinates.
Otherw... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L76-L106 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.save | def save(filename, n_frames=1, axis=np.array([0.,0.,1.]), clf=True, **kwargs):
"""Save frames from the viewer out to a file.
Parameters
----------
filename : str
The filename in which to save the output image. If more than one frame,
should have extension .gif.
... | python | def save(filename, n_frames=1, axis=np.array([0.,0.,1.]), clf=True, **kwargs):
"""Save frames from the viewer out to a file.
Parameters
----------
filename : str
The filename in which to save the output image. If more than one frame,
should have extension .gif.
... | Save frames from the viewer out to a file.
Parameters
----------
filename : str
The filename in which to save the output image. If more than one frame,
should have extension .gif.
n_frames : int
Number of frames to render. If more than one, the scene ... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L110-L143 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.save_loop | def save_loop(filename, framerate=30, time=3.0, axis=np.array([0.,0.,1.]), clf=True, **kwargs):
"""Off-screen save a GIF of one rotation about the scene.
Parameters
----------
filename : str
The filename in which to save the output image (should have extension .gif)
... | python | def save_loop(filename, framerate=30, time=3.0, axis=np.array([0.,0.,1.]), clf=True, **kwargs):
"""Off-screen save a GIF of one rotation about the scene.
Parameters
----------
filename : str
The filename in which to save the output image (should have extension .gif)
... | Off-screen save a GIF of one rotation about the scene.
Parameters
----------
filename : str
The filename in which to save the output image (should have extension .gif)
framerate : int
The frame rate at which to animate motion.
time : float
The... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L146-L170 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.clf | def clf():
"""Clear the current figure
"""
Visualizer3D._scene = Scene(background_color=Visualizer3D._scene.background_color)
Visualizer3D._scene.ambient_light = AmbientLight(color=[1.0, 1.0, 1.0], strength=1.0) | python | def clf():
"""Clear the current figure
"""
Visualizer3D._scene = Scene(background_color=Visualizer3D._scene.background_color)
Visualizer3D._scene.ambient_light = AmbientLight(color=[1.0, 1.0, 1.0], strength=1.0) | Clear the current figure | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L173-L177 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.points | def points(points, T_points_world=None, color=np.array([0,1,0]), scale=0.01, n_cuts=20, subsample=None, random=False, name=None):
"""Scatter a point cloud in pose T_points_world.
Parameters
----------
points : autolab_core.BagOfPoints or (n,3) float
The point set to visualiz... | python | def points(points, T_points_world=None, color=np.array([0,1,0]), scale=0.01, n_cuts=20, subsample=None, random=False, name=None):
"""Scatter a point cloud in pose T_points_world.
Parameters
----------
points : autolab_core.BagOfPoints or (n,3) float
The point set to visualiz... | Scatter a point cloud in pose T_points_world.
Parameters
----------
points : autolab_core.BagOfPoints or (n,3) float
The point set to visualize.
T_points_world : autolab_core.RigidTransform
Pose of points, specified as a transformation from point frame to world f... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L209-L287 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.mesh | def mesh(mesh, T_mesh_world=RigidTransform(from_frame='obj', to_frame='world'),
style='surface', smooth=False, color=(0.5,0.5,0.5), name=None):
"""Visualize a 3D triangular mesh.
Parameters
----------
mesh : trimesh.Trimesh
The mesh to visualize.
T_mesh_... | python | def mesh(mesh, T_mesh_world=RigidTransform(from_frame='obj', to_frame='world'),
style='surface', smooth=False, color=(0.5,0.5,0.5), name=None):
"""Visualize a 3D triangular mesh.
Parameters
----------
mesh : trimesh.Trimesh
The mesh to visualize.
T_mesh_... | Visualize a 3D triangular mesh.
Parameters
----------
mesh : trimesh.Trimesh
The mesh to visualize.
T_mesh_world : autolab_core.RigidTransform
The pose of the mesh, specified as a transformation from mesh frame to world frame.
style : str
Tria... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L290-L325 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.mesh_stable_pose | def mesh_stable_pose(mesh, T_obj_table,
T_table_world=RigidTransform(from_frame='table', to_frame='world'),
style='wireframe', smooth=False, color=(0.5,0.5,0.5),
dim=0.15, plot_table=True, plot_com=False, name=None):
"""Visualize a mesh ... | python | def mesh_stable_pose(mesh, T_obj_table,
T_table_world=RigidTransform(from_frame='table', to_frame='world'),
style='wireframe', smooth=False, color=(0.5,0.5,0.5),
dim=0.15, plot_table=True, plot_com=False, name=None):
"""Visualize a mesh ... | Visualize a mesh in a stable pose.
Parameters
----------
mesh : trimesh.Trimesh
The mesh to visualize.
T_obj_table : autolab_core.RigidTransform
Pose of object relative to table.
T_table_world : autolab_core.RigidTransform
Pose of table relati... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L329-L371 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.pose | def pose(T_frame_world, alpha=0.1, tube_radius=0.005, center_scale=0.01):
"""Plot a 3D pose as a set of axes (x red, y green, z blue).
Parameters
----------
T_frame_world : autolab_core.RigidTransform
The pose relative to world coordinates.
alpha : float
... | python | def pose(T_frame_world, alpha=0.1, tube_radius=0.005, center_scale=0.01):
"""Plot a 3D pose as a set of axes (x red, y green, z blue).
Parameters
----------
T_frame_world : autolab_core.RigidTransform
The pose relative to world coordinates.
alpha : float
... | Plot a 3D pose as a set of axes (x red, y green, z blue).
Parameters
----------
T_frame_world : autolab_core.RigidTransform
The pose relative to world coordinates.
alpha : float
Length of plotted x,y,z axes.
tube_radius : float
Radius of plott... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L374-L398 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.table | def table(T_table_world=RigidTransform(from_frame='table', to_frame='world'), dim=0.16, color=(0,0,0)):
"""Plot a table mesh in 3D.
Parameters
----------
T_table_world : autolab_core.RigidTransform
Pose of table relative to world.
dim : float
The side-len... | python | def table(T_table_world=RigidTransform(from_frame='table', to_frame='world'), dim=0.16, color=(0,0,0)):
"""Plot a table mesh in 3D.
Parameters
----------
T_table_world : autolab_core.RigidTransform
Pose of table relative to world.
dim : float
The side-len... | Plot a table mesh in 3D.
Parameters
----------
T_table_world : autolab_core.RigidTransform
Pose of table relative to world.
dim : float
The side-length for the table.
color : 3-tuple
Color tuple. | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L401-L421 |
BerkeleyAutomation/visualization | visualization/visualizer3d.py | Visualizer3D.plot3d | def plot3d(points, color=(0.5, 0.5, 0.5), tube_radius=0.005, n_components=30, name=None):
"""Plot a 3d curve through a set of points using tubes.
Parameters
----------
points : (n,3) float
A series of 3D points that define a curve in space.
color : (3,) float
... | python | def plot3d(points, color=(0.5, 0.5, 0.5), tube_radius=0.005, n_components=30, name=None):
"""Plot a 3d curve through a set of points using tubes.
Parameters
----------
points : (n,3) float
A series of 3D points that define a curve in space.
color : (3,) float
... | Plot a 3d curve through a set of points using tubes.
Parameters
----------
points : (n,3) float
A series of 3D points that define a curve in space.
color : (3,) float
The color of the tube.
tube_radius : float
Radius of tube representing curve... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer3d.py#L424-L468 |
BerkeleyAutomation/visualization | visualization/visualizer2d.py | Visualizer2D.figure | def figure(size=(8,8), *args, **kwargs):
""" Creates a figure.
Parameters
----------
size : 2-tuple
size of the view window in inches
args : list
args of mayavi figure
kwargs : list
keyword args of mayavi figure
Returns
-... | python | def figure(size=(8,8), *args, **kwargs):
""" Creates a figure.
Parameters
----------
size : 2-tuple
size of the view window in inches
args : list
args of mayavi figure
kwargs : list
keyword args of mayavi figure
Returns
-... | Creates a figure.
Parameters
----------
size : 2-tuple
size of the view window in inches
args : list
args of mayavi figure
kwargs : list
keyword args of mayavi figure
Returns
-------
pyplot figure
the current ... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer2d.py#L14-L31 |
BerkeleyAutomation/visualization | visualization/visualizer2d.py | Visualizer2D.show | def show(filename=None, *args, **kwargs):
""" Show the current figure.
Parameters
----------
filename : :obj:`str`
filename to save the image to, for auto-saving
"""
if filename is None:
plt.show(*args, **kwargs)
else:
plt.save... | python | def show(filename=None, *args, **kwargs):
""" Show the current figure.
Parameters
----------
filename : :obj:`str`
filename to save the image to, for auto-saving
"""
if filename is None:
plt.show(*args, **kwargs)
else:
plt.save... | Show the current figure.
Parameters
----------
filename : :obj:`str`
filename to save the image to, for auto-saving | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer2d.py#L34-L45 |
BerkeleyAutomation/visualization | visualization/visualizer2d.py | Visualizer2D.imshow | def imshow(image, auto_subplot=False, **kwargs):
""" Displays an image.
Parameters
----------
image : :obj:`perception.Image`
image to display
auto_subplot : bool
whether or not to automatically subplot for multi-channel images e.g. rgbd
"""
... | python | def imshow(image, auto_subplot=False, **kwargs):
""" Displays an image.
Parameters
----------
image : :obj:`perception.Image`
image to display
auto_subplot : bool
whether or not to automatically subplot for multi-channel images e.g. rgbd
"""
... | Displays an image.
Parameters
----------
image : :obj:`perception.Image`
image to display
auto_subplot : bool
whether or not to automatically subplot for multi-channel images e.g. rgbd | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer2d.py#L118-L151 |
BerkeleyAutomation/visualization | visualization/visualizer2d.py | Visualizer2D.box | def box(b, line_width=2, color='g', style='-'):
""" Draws a box on the current plot.
Parameters
----------
b : :obj:`autolab_core.Box`
box to draw
line_width : int
width of lines on side of box
color : :obj:`str`
color of box
s... | python | def box(b, line_width=2, color='g', style='-'):
""" Draws a box on the current plot.
Parameters
----------
b : :obj:`autolab_core.Box`
box to draw
line_width : int
width of lines on side of box
color : :obj:`str`
color of box
s... | Draws a box on the current plot.
Parameters
----------
b : :obj:`autolab_core.Box`
box to draw
line_width : int
width of lines on side of box
color : :obj:`str`
color of box
style : :obj:`str`
style of lines to draw | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer2d.py#L154-L191 |
BerkeleyAutomation/visualization | visualization/visualizer2d.py | Visualizer2D.contour | def contour(c, subsample=1, size=10, color='g'):
""" Draws a contour on the current plot by scattering points.
Parameters
----------
c : :obj:`autolab_core.Contour`
contour to draw
subsample : int
subsample rate for boundary pixels
size : int
... | python | def contour(c, subsample=1, size=10, color='g'):
""" Draws a contour on the current plot by scattering points.
Parameters
----------
c : :obj:`autolab_core.Contour`
contour to draw
subsample : int
subsample rate for boundary pixels
size : int
... | Draws a contour on the current plot by scattering points.
Parameters
----------
c : :obj:`autolab_core.Contour`
contour to draw
subsample : int
subsample rate for boundary pixels
size : int
size of scattered points
color : :obj:`str`
... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer2d.py#L194-L212 |
BerkeleyAutomation/visualization | visualization/visualizer2d.py | Visualizer2D.grasp | def grasp(grasp, width=None, color='r', arrow_len=4, arrow_head_len = 2, arrow_head_width = 3,
arrow_width = 1, jaw_len=3, jaw_width = 1.0,
grasp_center_size=1, grasp_center_thickness=2.5,
grasp_center_style='+', grasp_axis_width=1,
grasp_axis_style='--', line_wid... | python | def grasp(grasp, width=None, color='r', arrow_len=4, arrow_head_len = 2, arrow_head_width = 3,
arrow_width = 1, jaw_len=3, jaw_width = 1.0,
grasp_center_size=1, grasp_center_thickness=2.5,
grasp_center_style='+', grasp_axis_width=1,
grasp_axis_style='--', line_wid... | Plots a 2D grasp with arrow and jaw style using matplotlib
Parameters
----------
grasp : :obj:`Grasp2D`
2D grasp to plot
width : float
width, in pixels, of the grasp (overrides Grasp2D.width_px)
color : :obj:`str`
color of plotted gras... | https://github.com/BerkeleyAutomation/visualization/blob/f8d038cc65c78f841ef27f99fb2a638f44fa72b6/visualization/visualizer2d.py#L215-L308 |
ml4ai/delphi | delphi/translators/for2py/arrays.py | all_subs | def all_subs(bounds):
"""given a list of tuples specifying the bounds of an array, all_subs()
returns a list of all the tuples of subscripts for that array."""
idx_list = []
for i in range(len(bounds)):
this_dim = bounds[i]
lo,hi = this_dim[0],this_dim[1] # bounds for this dimension... | python | def all_subs(bounds):
"""given a list of tuples specifying the bounds of an array, all_subs()
returns a list of all the tuples of subscripts for that array."""
idx_list = []
for i in range(len(bounds)):
this_dim = bounds[i]
lo,hi = this_dim[0],this_dim[1] # bounds for this dimension... | given a list of tuples specifying the bounds of an array, all_subs()
returns a list of all the tuples of subscripts for that array. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/arrays.py#L152-L162 |
ml4ai/delphi | delphi/translators/for2py/arrays.py | idx2subs | def idx2subs(idx_list):
"""Given a list idx_list of index values for each dimension of an array,
idx2subs() returns a list of the tuples of subscripts for all of the
array elements specified by those index values.
Note: This code adapted from that posted by jfs at
https://stackoverflo... | python | def idx2subs(idx_list):
"""Given a list idx_list of index values for each dimension of an array,
idx2subs() returns a list of the tuples of subscripts for all of the
array elements specified by those index values.
Note: This code adapted from that posted by jfs at
https://stackoverflo... | Given a list idx_list of index values for each dimension of an array,
idx2subs() returns a list of the tuples of subscripts for all of the
array elements specified by those index values.
Note: This code adapted from that posted by jfs at
https://stackoverflow.com/questions/533905/get-the-... | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/arrays.py#L165-L176 |
ml4ai/delphi | delphi/translators/for2py/arrays.py | array_values | def array_values(expr):
"""Given an expression expr denoting a list of values, array_values(expr)
returns a list of values for that expression."""
if isinstance(expr, Array):
return expr.get_elems(all_subs(expr._bounds))
elif isinstance(expr, list):
vals = [array_values(x) for x in e... | python | def array_values(expr):
"""Given an expression expr denoting a list of values, array_values(expr)
returns a list of values for that expression."""
if isinstance(expr, Array):
return expr.get_elems(all_subs(expr._bounds))
elif isinstance(expr, list):
vals = [array_values(x) for x in e... | Given an expression expr denoting a list of values, array_values(expr)
returns a list of values for that expression. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/arrays.py#L179-L188 |
ml4ai/delphi | delphi/translators/for2py/arrays.py | array_subscripts | def array_subscripts(expr):
"""Given a subscript expression expr (i.e., an expression that denotes the
set of elements of some array that are to be accessed),
array_subscripts() returns a list of the elements denoted by expr."""
if isinstance(expr, Array):
return all_subs(expr._bounds)
... | python | def array_subscripts(expr):
"""Given a subscript expression expr (i.e., an expression that denotes the
set of elements of some array that are to be accessed),
array_subscripts() returns a list of the elements denoted by expr."""
if isinstance(expr, Array):
return all_subs(expr._bounds)
... | Given a subscript expression expr (i.e., an expression that denotes the
set of elements of some array that are to be accessed),
array_subscripts() returns a list of the elements denoted by expr. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/arrays.py#L191-L201 |
ml4ai/delphi | delphi/translators/for2py/arrays.py | flatten | def flatten(in_list):
"""given a list of values in_list, flatten returns the list obtained by
flattening the top-level elements of in_list."""
out_list = []
for val in in_list:
if isinstance(val, list):
out_list.extend(val)
else:
out_list.append(val)
retu... | python | def flatten(in_list):
"""given a list of values in_list, flatten returns the list obtained by
flattening the top-level elements of in_list."""
out_list = []
for val in in_list:
if isinstance(val, list):
out_list.extend(val)
else:
out_list.append(val)
retu... | given a list of values in_list, flatten returns the list obtained by
flattening the top-level elements of in_list. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/arrays.py#L210-L220 |
ml4ai/delphi | delphi/translators/for2py/arrays.py | implied_loop_expr | def implied_loop_expr(expr, start, end, delta):
"""given the parameters of an implied loop -- namely, the start and end
values together with the delta per iteration -- implied_loop_expr()
returns a list of values of the lambda expression expr applied to
successive values of the implied loop.... | python | def implied_loop_expr(expr, start, end, delta):
"""given the parameters of an implied loop -- namely, the start and end
values together with the delta per iteration -- implied_loop_expr()
returns a list of values of the lambda expression expr applied to
successive values of the implied loop.... | given the parameters of an implied loop -- namely, the start and end
values together with the delta per iteration -- implied_loop_expr()
returns a list of values of the lambda expression expr applied to
successive values of the implied loop. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/arrays.py#L223-L236 |
ml4ai/delphi | delphi/translators/for2py/arrays.py | Array._mk_uninit_array | def _mk_uninit_array(self, bounds):
""" given a list of bounds for the N dimensions of an array,
_mk_uninit_array() creates and returns an N-dimensional array of
the size specified by the bounds with each element set to the value
None."""
if len(bounds) == 0:
... | python | def _mk_uninit_array(self, bounds):
""" given a list of bounds for the N dimensions of an array,
_mk_uninit_array() creates and returns an N-dimensional array of
the size specified by the bounds with each element set to the value
None."""
if len(bounds) == 0:
... | given a list of bounds for the N dimensions of an array,
_mk_uninit_array() creates and returns an N-dimensional array of
the size specified by the bounds with each element set to the value
None. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/arrays.py#L34-L52 |
ml4ai/delphi | delphi/translators/for2py/arrays.py | Array._posn | def _posn(self, bounds, idx):
"""given bounds = (lo,hi) and an index value idx, _posn(bounds, idx)
returns the position in a 0-based array corresponding to idx in
the (lo,hi)-based array. It generates an error if idx < lo or
idx > hi."""
lo,hi = bounds[0],bounds[1]
... | python | def _posn(self, bounds, idx):
"""given bounds = (lo,hi) and an index value idx, _posn(bounds, idx)
returns the position in a 0-based array corresponding to idx in
the (lo,hi)-based array. It generates an error if idx < lo or
idx > hi."""
lo,hi = bounds[0],bounds[1]
... | given bounds = (lo,hi) and an index value idx, _posn(bounds, idx)
returns the position in a 0-based array corresponding to idx in
the (lo,hi)-based array. It generates an error if idx < lo or
idx > hi. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/arrays.py#L75-L84 |
ml4ai/delphi | delphi/translators/for2py/arrays.py | Array._access | def _access(self, subs, acc_type, val):
"""_access(subs, acc_type, val) accesses the array element specified by
the tuple of subscript values, subs. If acc_type == _GET_ it
returns the value of this element; else it sets this element to the
value of the argument val."""
... | python | def _access(self, subs, acc_type, val):
"""_access(subs, acc_type, val) accesses the array element specified by
the tuple of subscript values, subs. If acc_type == _GET_ it
returns the value of this element; else it sets this element to the
value of the argument val."""
... | _access(subs, acc_type, val) accesses the array element specified by
the tuple of subscript values, subs. If acc_type == _GET_ it
returns the value of this element; else it sets this element to the
value of the argument val. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/arrays.py#L87-L111 |
ml4ai/delphi | delphi/translators/for2py/arrays.py | Array.set_elems | def set_elems(self, subs, vals):
"""set_elems(subs, vals) sets the array elements specified by the list
of subscript values subs (each element of subs is a tuple of
subscripts identifying an array element) to the corresponding value
in vals."""
if isinstance(vals, (int,... | python | def set_elems(self, subs, vals):
"""set_elems(subs, vals) sets the array elements specified by the list
of subscript values subs (each element of subs is a tuple of
subscripts identifying an array element) to the corresponding value
in vals."""
if isinstance(vals, (int,... | set_elems(subs, vals) sets the array elements specified by the list
of subscript values subs (each element of subs is a tuple of
subscripts identifying an array element) to the corresponding value
in vals. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/arrays.py#L133-L143 |
ml4ai/delphi | delphi/utils/misc.py | multiple_replace | def multiple_replace(d: Dict[str, str], text: str) -> str:
""" Performs string replacement from dict in a single pass. Taken from
https://www.oreilly.com/library/view/python-cookbook/0596001673/ch03s15.html
"""
# Create a regular expression from all of the dictionary keys
regex = re.compile("|".join(m... | python | def multiple_replace(d: Dict[str, str], text: str) -> str:
""" Performs string replacement from dict in a single pass. Taken from
https://www.oreilly.com/library/view/python-cookbook/0596001673/ch03s15.html
"""
# Create a regular expression from all of the dictionary keys
regex = re.compile("|".join(m... | Performs string replacement from dict in a single pass. Taken from
https://www.oreilly.com/library/view/python-cookbook/0596001673/ch03s15.html | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/misc.py#L30-L38 |
ml4ai/delphi | scripts/evaluations/create_parameterized_CAG.py | create_parameterized_CAG | def create_parameterized_CAG(input, output, filename="CAG_with_indicators_and_values.pdf"):
""" Create a CAG with mapped and parameterized indicators """
with open(input, "rb") as f:
G = pickle.load(f)
G.parameterize(year=2017, month=4)
G.get_timeseries_values_for_indicators()
with open(outp... | python | def create_parameterized_CAG(input, output, filename="CAG_with_indicators_and_values.pdf"):
""" Create a CAG with mapped and parameterized indicators """
with open(input, "rb") as f:
G = pickle.load(f)
G.parameterize(year=2017, month=4)
G.get_timeseries_values_for_indicators()
with open(outp... | Create a CAG with mapped and parameterized indicators | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/scripts/evaluations/create_parameterized_CAG.py#L5-L12 |
ml4ai/delphi | delphi/utils/indra.py | get_concepts | def get_concepts(sts: List[Influence]) -> Set[str]:
""" Get a set of all unique concepts in the list of INDRA statements. """
return set(flatMap(nameTuple, sts)) | python | def get_concepts(sts: List[Influence]) -> Set[str]:
""" Get a set of all unique concepts in the list of INDRA statements. """
return set(flatMap(nameTuple, sts)) | Get a set of all unique concepts in the list of INDRA statements. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L12-L14 |
ml4ai/delphi | delphi/utils/indra.py | get_valid_statements_for_modeling | def get_valid_statements_for_modeling(sts: List[Influence]) -> List[Influence]:
""" Select INDRA statements that can be used to construct a Delphi model
from a given list of statements. """
return [
s
for s in sts
if is_grounded_statement(s)
and (s.subj_delta["polarity"] is ... | python | def get_valid_statements_for_modeling(sts: List[Influence]) -> List[Influence]:
""" Select INDRA statements that can be used to construct a Delphi model
from a given list of statements. """
return [
s
for s in sts
if is_grounded_statement(s)
and (s.subj_delta["polarity"] is ... | Select INDRA statements that can be used to construct a Delphi model
from a given list of statements. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L17-L27 |
ml4ai/delphi | delphi/utils/indra.py | _ | def _(s: Influence) -> bool:
""" Check if an Influence statement is grounded """
return is_grounded(s.subj) and is_grounded(s.obj) | python | def _(s: Influence) -> bool:
""" Check if an Influence statement is grounded """
return is_grounded(s.subj) and is_grounded(s.obj) | Check if an Influence statement is grounded | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L78-L80 |
ml4ai/delphi | delphi/utils/indra.py | is_grounded_statement | def is_grounded_statement(s: Influence) -> bool:
""" Check if an Influence statement is grounded """
return is_grounded_concept(s.subj) and is_grounded_concept(s.obj) | python | def is_grounded_statement(s: Influence) -> bool:
""" Check if an Influence statement is grounded """
return is_grounded_concept(s.subj) and is_grounded_concept(s.obj) | Check if an Influence statement is grounded | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L91-L93 |
ml4ai/delphi | delphi/utils/indra.py | _ | def _(c: Concept, cutoff: float = 0.7) -> bool:
"""Check if a concept has a high grounding score. """
return is_grounded(c) and (top_grounding_score(c) >= cutoff) | python | def _(c: Concept, cutoff: float = 0.7) -> bool:
"""Check if a concept has a high grounding score. """
return is_grounded(c) and (top_grounding_score(c) >= cutoff) | Check if a concept has a high grounding score. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L102-L105 |
ml4ai/delphi | delphi/utils/indra.py | _ | def _(s: Influence, cutoff: float = 0.7) -> bool:
""" Returns true if both subj and obj are grounded to the UN ontology. """
return all(map(lambda c: is_well_grounded(c, cutoff), s.agent_list())) | python | def _(s: Influence, cutoff: float = 0.7) -> bool:
""" Returns true if both subj and obj are grounded to the UN ontology. """
return all(map(lambda c: is_well_grounded(c, cutoff), s.agent_list())) | Returns true if both subj and obj are grounded to the UN ontology. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L109-L112 |
ml4ai/delphi | delphi/utils/indra.py | is_well_grounded_concept | def is_well_grounded_concept(c: Concept, cutoff: float = 0.7) -> bool:
"""Check if a concept has a high grounding score. """
return is_grounded(c) and (top_grounding_score(c) >= cutoff) | python | def is_well_grounded_concept(c: Concept, cutoff: float = 0.7) -> bool:
"""Check if a concept has a high grounding score. """
return is_grounded(c) and (top_grounding_score(c) >= cutoff) | Check if a concept has a high grounding score. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L115-L118 |
ml4ai/delphi | delphi/utils/indra.py | is_well_grounded_statement | def is_well_grounded_statement(s: Influence, cutoff: float = 0.7) -> bool:
""" Returns true if both subj and obj are grounded to the UN ontology. """
return all(
map(lambda c: is_well_grounded_concept(c, cutoff), s.agent_list())
) | python | def is_well_grounded_statement(s: Influence, cutoff: float = 0.7) -> bool:
""" Returns true if both subj and obj are grounded to the UN ontology. """
return all(
map(lambda c: is_well_grounded_concept(c, cutoff), s.agent_list())
) | Returns true if both subj and obj are grounded to the UN ontology. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L121-L126 |
ml4ai/delphi | delphi/utils/indra.py | is_grounded_to_name | def is_grounded_to_name(c: Concept, name: str, cutoff=0.7) -> bool:
""" Check if a concept is grounded to a given name. """
return (top_grounding(c) == name) if is_well_grounded(c, cutoff) else False | python | def is_grounded_to_name(c: Concept, name: str, cutoff=0.7) -> bool:
""" Check if a concept is grounded to a given name. """
return (top_grounding(c) == name) if is_well_grounded(c, cutoff) else False | Check if a concept is grounded to a given name. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L129-L131 |
ml4ai/delphi | delphi/utils/indra.py | contains_relevant_concept | def contains_relevant_concept(
s: Influence, relevant_concepts: List[str], cutoff=0.7
) -> bool:
""" Returns true if a given Influence statement has a relevant concept, and
false otherwise. """
return any(
map(lambda c: contains_concept(s, c, cutoff=cutoff), relevant_concepts)
) | python | def contains_relevant_concept(
s: Influence, relevant_concepts: List[str], cutoff=0.7
) -> bool:
""" Returns true if a given Influence statement has a relevant concept, and
false otherwise. """
return any(
map(lambda c: contains_concept(s, c, cutoff=cutoff), relevant_concepts)
) | Returns true if a given Influence statement has a relevant concept, and
false otherwise. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L143-L151 |
ml4ai/delphi | delphi/utils/indra.py | top_grounding | def top_grounding(c: Concept) -> str:
""" Return the top-scoring grounding from the UN ontology. """
return c.db_refs["UN"][0][0] if "UN" in c.db_refs else c.name | python | def top_grounding(c: Concept) -> str:
""" Return the top-scoring grounding from the UN ontology. """
return c.db_refs["UN"][0][0] if "UN" in c.db_refs else c.name | Return the top-scoring grounding from the UN ontology. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L154-L156 |
ml4ai/delphi | delphi/utils/indra.py | nameTuple | def nameTuple(s: Influence) -> Tuple[str, str]:
""" Returns a 2-tuple consisting of the top groundings of the subj and obj
of an Influence statement. """
return top_grounding(s.subj), top_grounding(s.obj) | python | def nameTuple(s: Influence) -> Tuple[str, str]:
""" Returns a 2-tuple consisting of the top groundings of the subj and obj
of an Influence statement. """
return top_grounding(s.subj), top_grounding(s.obj) | Returns a 2-tuple consisting of the top groundings of the subj and obj
of an Influence statement. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/indra.py#L163-L166 |
ml4ai/delphi | delphi/apps/rest_api/api.py | createNewICM | def createNewICM():
""" Create a new ICM"""
data = json.loads(request.data)
G = AnalysisGraph.from_uncharted_json_serialized_dict(data)
G.assemble_transition_model_from_gradable_adjectives()
G.sample_from_prior()
G.to_sql(app=current_app)
_metadata = ICMMetadata.query.filter_by(id=G.id).firs... | python | def createNewICM():
""" Create a new ICM"""
data = json.loads(request.data)
G = AnalysisGraph.from_uncharted_json_serialized_dict(data)
G.assemble_transition_model_from_gradable_adjectives()
G.sample_from_prior()
G.to_sql(app=current_app)
_metadata = ICMMetadata.query.filter_by(id=G.id).firs... | Create a new ICM | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/apps/rest_api/api.py#L36-L45 |
ml4ai/delphi | delphi/apps/rest_api/api.py | getICMByUUID | def getICMByUUID(uuid: str):
""" Fetch an ICM by UUID"""
_metadata = ICMMetadata.query.filter_by(id=uuid).first().deserialize()
del _metadata["model_id"]
return jsonify(_metadata) | python | def getICMByUUID(uuid: str):
""" Fetch an ICM by UUID"""
_metadata = ICMMetadata.query.filter_by(id=uuid).first().deserialize()
del _metadata["model_id"]
return jsonify(_metadata) | Fetch an ICM by UUID | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/apps/rest_api/api.py#L55-L59 |
ml4ai/delphi | delphi/apps/rest_api/api.py | deleteICM | def deleteICM(uuid: str):
""" Deletes an ICM"""
_metadata = ICMMetadata.query.filter_by(id=uuid).first()
db.session.delete(_metadata)
db.session.commit()
return ("", 204) | python | def deleteICM(uuid: str):
""" Deletes an ICM"""
_metadata = ICMMetadata.query.filter_by(id=uuid).first()
db.session.delete(_metadata)
db.session.commit()
return ("", 204) | Deletes an ICM | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/apps/rest_api/api.py#L63-L68 |
ml4ai/delphi | delphi/apps/rest_api/api.py | getICMPrimitives | def getICMPrimitives(uuid: str):
""" returns all ICM primitives (TODO - needs filter support)"""
primitives = [
p.deserialize()
for p in CausalPrimitive.query.filter_by(model_id=uuid).all()
]
for p in primitives:
del p["model_id"]
return jsonify(primitives) | python | def getICMPrimitives(uuid: str):
""" returns all ICM primitives (TODO - needs filter support)"""
primitives = [
p.deserialize()
for p in CausalPrimitive.query.filter_by(model_id=uuid).all()
]
for p in primitives:
del p["model_id"]
return jsonify(primitives) | returns all ICM primitives (TODO - needs filter support) | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/apps/rest_api/api.py#L78-L86 |
ml4ai/delphi | delphi/apps/rest_api/api.py | getEvidenceForID | def getEvidenceForID(uuid: str, prim_id: str):
""" returns evidence for a causal primitive (needs pagination support)"""
evidences = [
evidence.deserialize()
for evidence in Evidence.query.filter_by(
causalrelationship_id=prim_id
).all()
]
for evidence in evidences:
... | python | def getEvidenceForID(uuid: str, prim_id: str):
""" returns evidence for a causal primitive (needs pagination support)"""
evidences = [
evidence.deserialize()
for evidence in Evidence.query.filter_by(
causalrelationship_id=prim_id
).all()
]
for evidence in evidences:
... | returns evidence for a causal primitive (needs pagination support) | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/apps/rest_api/api.py#L116-L127 |
ml4ai/delphi | delphi/apps/rest_api/api.py | createExperiment | def createExperiment(uuid: str):
""" Execute an experiment over the model"""
data = request.get_json()
G = DelphiModel.query.filter_by(id=uuid).first().model
if os.environ.get("TRAVIS") is not None:
config_file="bmi_config.txt"
else:
if not os.path.exists("/tmp/delphi"):
... | python | def createExperiment(uuid: str):
""" Execute an experiment over the model"""
data = request.get_json()
G = DelphiModel.query.filter_by(id=uuid).first().model
if os.environ.get("TRAVIS") is not None:
config_file="bmi_config.txt"
else:
if not os.path.exists("/tmp/delphi"):
... | Execute an experiment over the model | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/apps/rest_api/api.py#L187-L279 |
ml4ai/delphi | delphi/apps/rest_api/api.py | getExperiments | def getExperiments(uuid: str):
""" list active (running or completed) experiments"""
return jsonify([x.deserialize() for x in Experiment.query.all()]) | python | def getExperiments(uuid: str):
""" list active (running or completed) experiments"""
return jsonify([x.deserialize() for x in Experiment.query.all()]) | list active (running or completed) experiments | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/apps/rest_api/api.py#L283-L285 |
ml4ai/delphi | delphi/apps/rest_api/api.py | getExperiment | def getExperiment(uuid: str, exp_id: str):
""" Fetch experiment results"""
experimentResult = ForwardProjectionResult.query.filter_by(
id=exp_id
).first()
return jsonify(experimentResult.deserialize()) | python | def getExperiment(uuid: str, exp_id: str):
""" Fetch experiment results"""
experimentResult = ForwardProjectionResult.query.filter_by(
id=exp_id
).first()
return jsonify(experimentResult.deserialize()) | Fetch experiment results | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/apps/rest_api/api.py#L289-L294 |
ml4ai/delphi | delphi/jupyter_tools.py | create_statement_inspection_table | def create_statement_inspection_table(sts: List[Influence]):
""" Display an HTML representation of a table with INDRA statements to
manually inspect for validity.
Args:
sts: A list of INDRA statements to be manually inspected for validity.
"""
columns = [
"un_groundings",
"... | python | def create_statement_inspection_table(sts: List[Influence]):
""" Display an HTML representation of a table with INDRA statements to
manually inspect for validity.
Args:
sts: A list of INDRA statements to be manually inspected for validity.
"""
columns = [
"un_groundings",
"... | Display an HTML representation of a table with INDRA statements to
manually inspect for validity.
Args:
sts: A list of INDRA statements to be manually inspected for validity. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/jupyter_tools.py#L20-L69 |
ml4ai/delphi | delphi/jupyter_tools.py | get_python_shell | def get_python_shell():
"""Determine python shell
get_python_shell() returns
'shell' (started python on command line using "python")
'ipython' (started ipython on command line using "ipython")
'ipython-notebook' (e.g., running in Spyder or started with "ipython qtconsole")
'jupyter-notebook' (... | python | def get_python_shell():
"""Determine python shell
get_python_shell() returns
'shell' (started python on command line using "python")
'ipython' (started ipython on command line using "ipython")
'ipython-notebook' (e.g., running in Spyder or started with "ipython qtconsole")
'jupyter-notebook' (... | Determine python shell
get_python_shell() returns
'shell' (started python on command line using "python")
'ipython' (started ipython on command line using "ipython")
'ipython-notebook' (e.g., running in Spyder or started with "ipython qtconsole")
'jupyter-notebook' (running in a Jupyter notebook)
... | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/jupyter_tools.py#L103-L127 |
ml4ai/delphi | scripts/evaluations/create_precipitation_centered_CAG.py | create_precipitation_centered_CAG | def create_precipitation_centered_CAG(input, output):
""" Get a CAG that examines the downstream effects of changes in precipitation. """
with open(input, "rb") as f:
G = pickle.load(f)
G = G.get_subgraph_for_concept(
"UN/events/weather/precipitation", depth=2, reverse=False
)
G.pru... | python | def create_precipitation_centered_CAG(input, output):
""" Get a CAG that examines the downstream effects of changes in precipitation. """
with open(input, "rb") as f:
G = pickle.load(f)
G = G.get_subgraph_for_concept(
"UN/events/weather/precipitation", depth=2, reverse=False
)
G.pru... | Get a CAG that examines the downstream effects of changes in precipitation. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/scripts/evaluations/create_precipitation_centered_CAG.py#L6-L22 |
ml4ai/delphi | delphi/translators/for2py/pyTranslate.py | index_modules | def index_modules(root) -> Dict:
""" Counts the number of modules in the Fortran file including the program
file. Each module is written out into a separate Python file. """
module_index_dict = {
node["name"]: (node.get("tag"), index)
for index, node in enumerate(root)
if node.get(... | python | def index_modules(root) -> Dict:
""" Counts the number of modules in the Fortran file including the program
file. Each module is written out into a separate Python file. """
module_index_dict = {
node["name"]: (node.get("tag"), index)
for index, node in enumerate(root)
if node.get(... | Counts the number of modules in the Fortran file including the program
file. Each module is written out into a separate Python file. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/pyTranslate.py#L1244-L1254 |
ml4ai/delphi | delphi/translators/for2py/pyTranslate.py | PythonCodeGenerator.printArray | def printArray(self, node, printState: PrintState):
""" Prints out the array declaration in a format of Array class
object declaration. 'arrayName = Array(Type, [bounds])'
"""
if (
self.nameMapper[node["name"]] not in printState.definedVars
and self.nameMapper... | python | def printArray(self, node, printState: PrintState):
""" Prints out the array declaration in a format of Array class
object declaration. 'arrayName = Array(Type, [bounds])'
"""
if (
self.nameMapper[node["name"]] not in printState.definedVars
and self.nameMapper... | Prints out the array declaration in a format of Array class
object declaration. 'arrayName = Array(Type, [bounds])' | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/pyTranslate.py#L1151-L1199 |
ml4ai/delphi | delphi/analysis/comparison/utils.py | draw_graph | def draw_graph(G: nx.DiGraph, filename: str):
""" Draw a networkx graph with Pygraphviz. """
A = to_agraph(G)
A.graph_attr["rankdir"] = "LR"
A.draw(filename, prog="dot") | python | def draw_graph(G: nx.DiGraph, filename: str):
""" Draw a networkx graph with Pygraphviz. """
A = to_agraph(G)
A.graph_attr["rankdir"] = "LR"
A.draw(filename, prog="dot") | Draw a networkx graph with Pygraphviz. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/analysis/comparison/utils.py#L6-L10 |
ml4ai/delphi | delphi/analysis/comparison/utils.py | get_input_nodes | def get_input_nodes(G: nx.DiGraph) -> List[str]:
""" Get all input nodes from a network. """
return [n for n, d in G.in_degree() if d == 0] | python | def get_input_nodes(G: nx.DiGraph) -> List[str]:
""" Get all input nodes from a network. """
return [n for n, d in G.in_degree() if d == 0] | Get all input nodes from a network. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/analysis/comparison/utils.py#L13-L15 |
ml4ai/delphi | delphi/analysis/comparison/utils.py | get_output_nodes | def get_output_nodes(G: nx.DiGraph) -> List[str]:
""" Get all output nodes from a network. """
return [n for n, d in G.out_degree() if d == 0] | python | def get_output_nodes(G: nx.DiGraph) -> List[str]:
""" Get all output nodes from a network. """
return [n for n, d in G.out_degree() if d == 0] | Get all output nodes from a network. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/analysis/comparison/utils.py#L18-L20 |
ml4ai/delphi | delphi/analysis/comparison/utils.py | nx_graph_from_dotfile | def nx_graph_from_dotfile(filename: str) -> nx.DiGraph:
""" Get a networkx graph from a DOT file, and reverse the edges. """
return nx.DiGraph(read_dot(filename).reverse()) | python | def nx_graph_from_dotfile(filename: str) -> nx.DiGraph:
""" Get a networkx graph from a DOT file, and reverse the edges. """
return nx.DiGraph(read_dot(filename).reverse()) | Get a networkx graph from a DOT file, and reverse the edges. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/analysis/comparison/utils.py#L23-L25 |
ml4ai/delphi | delphi/analysis/comparison/utils.py | to_dotfile | def to_dotfile(G: nx.DiGraph, filename: str):
""" Output a networkx graph to a DOT file. """
A = to_agraph(G)
A.write(filename) | python | def to_dotfile(G: nx.DiGraph, filename: str):
""" Output a networkx graph to a DOT file. """
A = to_agraph(G)
A.write(filename) | Output a networkx graph to a DOT file. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/analysis/comparison/utils.py#L28-L31 |
ml4ai/delphi | delphi/analysis/comparison/utils.py | get_shared_nodes | def get_shared_nodes(G1: nx.DiGraph, G2: nx.DiGraph) -> List[str]:
"""Get all the nodes that are common to both networks."""
return list(set(G1.nodes()).intersection(set(G2.nodes()))) | python | def get_shared_nodes(G1: nx.DiGraph, G2: nx.DiGraph) -> List[str]:
"""Get all the nodes that are common to both networks."""
return list(set(G1.nodes()).intersection(set(G2.nodes()))) | Get all the nodes that are common to both networks. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/analysis/comparison/utils.py#L34-L36 |
ml4ai/delphi | delphi/translators/for2py/syntax.py | line_is_comment | def line_is_comment(line: str) -> bool:
"""
From FORTRAN Language Reference
(https://docs.oracle.com/cd/E19957-01/805-4939/z40007332024/index.html):
A line with a c, C, *, d, D, or ! in column one is a comment line, except
that if the -xld option is set, then the lines starting with D or d are
... | python | def line_is_comment(line: str) -> bool:
"""
From FORTRAN Language Reference
(https://docs.oracle.com/cd/E19957-01/805-4939/z40007332024/index.html):
A line with a c, C, *, d, D, or ! in column one is a comment line, except
that if the -xld option is set, then the lines starting with D or d are
... | From FORTRAN Language Reference
(https://docs.oracle.com/cd/E19957-01/805-4939/z40007332024/index.html):
A line with a c, C, *, d, D, or ! in column one is a comment line, except
that if the -xld option is set, then the lines starting with D or d are
compiled as debug lines. The d, D, and ! are nonstan... | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/syntax.py#L12-L42 |
ml4ai/delphi | delphi/translators/for2py/syntax.py | line_starts_subpgm | def line_starts_subpgm(line: str) -> Tuple[bool, Optional[str]]:
"""
Indicates whether a line in the program is the first line of a subprogram
definition.
Args:
line
Returns:
(True, f_name) if line begins a definition for subprogram f_name;
(False, None) if line does not begin... | python | def line_starts_subpgm(line: str) -> Tuple[bool, Optional[str]]:
"""
Indicates whether a line in the program is the first line of a subprogram
definition.
Args:
line
Returns:
(True, f_name) if line begins a definition for subprogram f_name;
(False, None) if line does not begin... | Indicates whether a line in the program is the first line of a subprogram
definition.
Args:
line
Returns:
(True, f_name) if line begins a definition for subprogram f_name;
(False, None) if line does not begin a subprogram definition. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/syntax.py#L125-L147 |
ml4ai/delphi | delphi/translators/for2py/syntax.py | program_unit_name | def program_unit_name(line:str) -> str:
"""Given a line that starts a program unit, i.e., a program, module,
subprogram, or function, this function returns the name associated
with that program unit."""
match = RE_PGM_UNIT_START.match(line)
assert match != None
return match.group(2) | python | def program_unit_name(line:str) -> str:
"""Given a line that starts a program unit, i.e., a program, module,
subprogram, or function, this function returns the name associated
with that program unit."""
match = RE_PGM_UNIT_START.match(line)
assert match != None
return match.group(2) | Given a line that starts a program unit, i.e., a program, module,
subprogram, or function, this function returns the name associated
with that program unit. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/syntax.py#L160-L166 |
ml4ai/delphi | delphi/translators/for2py/syntax.py | line_is_continuation | def line_is_continuation(line: str) -> bool:
"""
Args:
line
Returns:
True iff line is a continuation line, else False.
"""
llstr = line.lstrip()
return len(llstr) > 0 and llstr[0] == "&" | python | def line_is_continuation(line: str) -> bool:
"""
Args:
line
Returns:
True iff line is a continuation line, else False.
"""
llstr = line.lstrip()
return len(llstr) > 0 and llstr[0] == "&" | Args:
line
Returns:
True iff line is a continuation line, else False. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/syntax.py#L168-L177 |
ml4ai/delphi | delphi/translators/for2py/syntax.py | line_is_executable | def line_is_executable(line: str) -> bool:
"""line_is_executable() returns True iff the line can start an
executable statement in a program."""
if line_is_comment(line):
return False
if re.match(RE_TYPE_NAMES, line):
return False
for exp in EXECUTABLE_CODE_START:
if re.... | python | def line_is_executable(line: str) -> bool:
"""line_is_executable() returns True iff the line can start an
executable statement in a program."""
if line_is_comment(line):
return False
if re.match(RE_TYPE_NAMES, line):
return False
for exp in EXECUTABLE_CODE_START:
if re.... | line_is_executable() returns True iff the line can start an
executable statement in a program. | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/translators/for2py/syntax.py#L191-L205 |
ml4ai/delphi | delphi/utils/fp.py | prepend | def prepend(x: T, xs: Iterable[T]) -> Iterator[T]:
""" Prepend a value to an iterable.
Parameters
----------
x
An element of type T.
xs
An iterable of elements of type T.
Returns
-------
Iterator
An iterator that yields *x* followed by elements of *xs*.
Exa... | python | def prepend(x: T, xs: Iterable[T]) -> Iterator[T]:
""" Prepend a value to an iterable.
Parameters
----------
x
An element of type T.
xs
An iterable of elements of type T.
Returns
-------
Iterator
An iterator that yields *x* followed by elements of *xs*.
Exa... | Prepend a value to an iterable.
Parameters
----------
x
An element of type T.
xs
An iterable of elements of type T.
Returns
-------
Iterator
An iterator that yields *x* followed by elements of *xs*.
Examples
--------
>>> from delphi.utils.fp import pre... | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/fp.py#L30-L53 |
ml4ai/delphi | delphi/utils/fp.py | append | def append(x: T, xs: Iterable[T]) -> Iterator[T]:
""" Append a value to an iterable.
Parameters
----------
x
An element of type T.
xs
An iterable of elements of type T.
Returns
-------
Iterator
An iterator that yields elements of *xs*, then yields *x*.
Exa... | python | def append(x: T, xs: Iterable[T]) -> Iterator[T]:
""" Append a value to an iterable.
Parameters
----------
x
An element of type T.
xs
An iterable of elements of type T.
Returns
-------
Iterator
An iterator that yields elements of *xs*, then yields *x*.
Exa... | Append a value to an iterable.
Parameters
----------
x
An element of type T.
xs
An iterable of elements of type T.
Returns
-------
Iterator
An iterator that yields elements of *xs*, then yields *x*.
Examples
--------
>>> from delphi.utils.fp import app... | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/fp.py#L56-L80 |
ml4ai/delphi | delphi/utils/fp.py | scanl | def scanl(f: Callable[[T, U], T], x: T, xs: Iterable[U]) -> Iterator[T]:
""" Make an iterator that returns accumulated results of a binary function
applied to elements of an iterable.
.. math::
scanl(f, x_0, [x_1, x_2, ...]) = [x_0, f(x_0, x_1), f(f(x_0, x_1), x_2), ...]
Parameters
-------... | python | def scanl(f: Callable[[T, U], T], x: T, xs: Iterable[U]) -> Iterator[T]:
""" Make an iterator that returns accumulated results of a binary function
applied to elements of an iterable.
.. math::
scanl(f, x_0, [x_1, x_2, ...]) = [x_0, f(x_0, x_1), f(f(x_0, x_1), x_2), ...]
Parameters
-------... | Make an iterator that returns accumulated results of a binary function
applied to elements of an iterable.
.. math::
scanl(f, x_0, [x_1, x_2, ...]) = [x_0, f(x_0, x_1), f(f(x_0, x_1), x_2), ...]
Parameters
----------
f
A binary function of two arguments of type T.
x
An ... | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/fp.py#L83-L113 |
ml4ai/delphi | delphi/utils/fp.py | scanl1 | def scanl1(f: Callable[[T, T], T], xs: Iterable[T]) -> Iterator[T]:
""" Make an iterator that returns accumulated results of a binary function
applied to elements of an iterable.
.. math::
scanl1(f, [x_0, x_1, x_2, ...]) = [x_0, f(x_0, x_1), f(f(x_0, x_1), x_2), ...]
Parameters
----------
... | python | def scanl1(f: Callable[[T, T], T], xs: Iterable[T]) -> Iterator[T]:
""" Make an iterator that returns accumulated results of a binary function
applied to elements of an iterable.
.. math::
scanl1(f, [x_0, x_1, x_2, ...]) = [x_0, f(x_0, x_1), f(f(x_0, x_1), x_2), ...]
Parameters
----------
... | Make an iterator that returns accumulated results of a binary function
applied to elements of an iterable.
.. math::
scanl1(f, [x_0, x_1, x_2, ...]) = [x_0, f(x_0, x_1), f(f(x_0, x_1), x_2), ...]
Parameters
----------
f
A binary function of two arguments of type T.
xs
A... | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/utils/fp.py#L116-L143 |
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