code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
value |
|---|---|---|---|---|---|
from utils import register_resource
from utils import aggregate
from utils import run
@register_resource(resolution="replicate", partition=False)
def splicing_summary(dbs, confs):
"""Fetch splicing summary chart"""
chart = {}
def adding(x, y):
"""Add the values. Ignoring the absence of a value f... | /raisin.resource-1.4.1.zip/raisin.resource-1.4.1/raisin/resource/splicing.py | 0.620852 | 0.279039 | splicing.py | pypi |
from utils import run
from utils import get_rna_extract_display_mapping
from utils import get_cell_display_mapping
from utils import get_localization_display_mapping
from utils import get_experiment_chart
from utils import get_parameter_list
from utils import get_parameter_values
from utils import get_experiment_dict
... | /raisin.resource-1.4.1.zip/raisin.resource-1.4.1/raisin/resource/replicate.py | 0.50293 | 0.165627 | replicate.py | pypi |
from utils import register_resource
from utils import aggregate
@register_resource(resolution="read", partition=False)
def read_summary(dbs, confs):
"""Return the read summary table"""
chart = {}
method = _read_summary
configurations = confs['configurations']
stats, failed = aggregate(dbs, config... | /raisin.resource-1.4.1.zip/raisin.resource-1.4.1/raisin/resource/read.py | 0.720073 | 0.321274 | read.py | pypi |
from zope.pagetemplate.pagetemplatefile import PageTemplateFile
def render_javascript(charts, packages):
"""Render the javascript for the charts and packages"""
render_charts = []
for chart in charts:
if 'charttype' in chart and 'data' in chart:
render_charts.append(chart)
if len(... | /raisin.restyler-1.3.zip/raisin.restyler-1.3/raisin/restyler/renderers.py | 0.412057 | 0.175326 | renderers.py | pypi |
import urlparse
from config import JSON
from config import PICKLED
from renderers import render_javascript
from renderers import render_chartoptions
from renderers import render_description
from raisin.box import RESOURCES_REGISTRY
from raisin.page import PAGES
from raisin.box import BOXES
from raisin.restkit import R... | /raisin.restyler-1.3.zip/raisin.restyler-1.3/raisin/restyler/page.py | 0.73029 | 0.210523 | page.py | pypi |
# Responsible AI Tracker
Responsible AI Tracker is a JupyterLab Extension for managing, tracking, and comparing results of machine learning experiments for model improvement. Using this extension, users can view models, code, and visualization artifact... | /raitracker-0.2.0.tar.gz/raitracker-0.2.0/README.md | 0.616359 | 0.980281 | README.md | pypi |
### Responsible AI Mitigation Library
<details>
<summary>Encoders</summary>
[Link to Encoders](https://responsible-ai-toolbox-mitigations.readthedocs.io/en/latest/dataprocessing/encoder/encoder.html)
The Encoders API allows for ordinal or one-hot encoding of categorical features.
[**Ordinal Encoding**](https:/... | /raitracker-0.2.0.tar.gz/raitracker-0.2.0/src/configs/mitigationHelp.md | 0.905713 | 0.870212 | mitigationHelp.md | pypi |
   ![PyPI raiwidgets](https://img.sh... | /raitracker-0.2.0.tar.gz/raitracker-0.2.0/help/ErrorMitigation.md | 0.670608 | 0.9434 | ErrorMitigation.md | pypi |
# Video of Error Mitigations
<img src="C:/Test/AIMitigations.png" alt="AI Mitigations logo" width="50%"/>
[<img src="https://i.ytimg.com/vi/Hc79sDi3f0U/maxresdefault.jpg" width="50%">](https://www.youtube.com/watch?v=Hc79sDi3f0U "Now in Android: 55")
# Error Mitigations
Responsible-AI-Widgets provides a collecti... | /raitracker-0.2.0.tar.gz/raitracker-0.2.0/help/Overview.md | 0.515132 | 0.990254 | Overview.md | pypi |
# Assess income level predictions on adult census data
```
from sklearn.pipeline import Pipeline
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from sklearn.compose import ColumnTransformer
import raimitigations.dataprocessing as dp
import pandas as pd
import... | /raitracker-0.2.0.tar.gz/raitracker-0.2.0/tour/5 estimators.ipynb | 0.652463 | 0.720639 | 5 estimators.ipynb | pypi |
# Assess income level predictions on adult census data
```
from sklearn.pipeline import Pipeline
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from sklearn.compose import ColumnTransformer
import raimitigations.dataprocessing as dp
import pandas as pd
import... | /raitracker-0.2.0.tar.gz/raitracker-0.2.0/tour/balance all data.ipynb | 0.665628 | 0.763814 | balance all data.ipynb | pypi |
# Assess income level predictions on adult census data
```
from sklearn.pipeline import Pipeline
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from sklearn.compose import ColumnTransformer
import raimitigations.dataprocessing as dp
import pandas as pd
import... | /raitracker-0.2.0.tar.gz/raitracker-0.2.0/tour/target balance per cohort.ipynb | 0.620277 | 0.745607 | target balance per cohort.ipynb | pypi |
# Assess income level predictions on adult census data
```
from sklearn.pipeline import Pipeline
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from sklearn.compose import ColumnTransformer
import raimitigations.dataprocessing as dp
import pandas as pd
import... | /raitracker-0.2.0.tar.gz/raitracker-0.2.0/tour/balance per cohort both.ipynb | 0.546254 | 0.74911 | balance per cohort both.ipynb | pypi |
:
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /raj-distributions-0.1.tar.gz/raj-distributions-0.1/distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
from sample import PayPalClient
from paypalcheckoutsdk.orders import OrdersCreateRequest
from braintreehttp.serializers.json_serializer import Json
import json
class CreateOrder(PayPalClient):
"""Setting up the JSON request body for creating the Order. The Intent in the
request body should be set as ... | /raja-test-package-1.0.6.tar.gz/raja-test-package-1.0.6/sample/CaptureIntentExamples/create_order.py | 0.702734 | 0.313774 | create_order.py | pypi |
from sample import PayPalClient
from paypalcheckoutsdk.orders import OrdersAuthorizeRequest
import json
class AuthorizeOrder(PayPalClient):
"""Sample request body to Authorize Order. This can be updated with the required fields as per need."""
@staticmethod
def build_request_body():
return {}
... | /raja-test-package-1.0.6.tar.gz/raja-test-package-1.0.6/sample/AuthorizeIntentExamples/authorize_order.py | 0.571886 | 0.153486 | authorize_order.py | pypi |
from sample import PayPalClient
from paypalcheckoutsdk.orders import OrdersCreateRequest
import json
class CreateOrder(PayPalClient):
"""Setting up the complete JSON request body for creating the Order. The Intent in the
request body should be set as "AUTHORIZE" for capture intent flow."""
@s... | /raja-test-package-1.0.6.tar.gz/raja-test-package-1.0.6/sample/AuthorizeIntentExamples/create_order.py | 0.713731 | 0.301581 | create_order.py | pypi |
from . import Message_pb2
from socket import socket, AF_INET
from ssl import wrap_socket
from struct import pack, unpack
from zlib import decompress, compress
import hashlib
import platform
import subprocess
def unpack_data(packet):
"""
Unpack the data from a binary packet, possibly decompressing if gzip-comp... | /rajant_api-0.1.1-py3-none-any.whl/rajant_api/__init__.py | 0.916173 | 0.656933 | __init__.py | pypi |
from abc import abstractclassmethod
from .errors import ApiErrorException
from .endpoint import ProvincesEndpoint, CitiesEndpoint, CostEndpoint
import requests
import json
from json.encoder import JSONEncoder
"""_summary_
Base class for API client.
Raises:
ApiErrorException: If the API returns an error.
Retur... | /rajaongkir-py-1.0.1.tar.gz/rajaongkir-py-1.0.1/rajaongkir/client.py | 0.72594 | 0.166066 | client.py | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /rajat_distribution-0.1.tar.gz/rajat_distribution-0.1/rajat_distribution/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
"""Implements Job functionality for async tasks."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from builtins import object
import concurrent.futures
import datetime
import time
import traceback
import uuid
class JobError(Exception):
""" A helper class t... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/_job.py | 0.847179 | 0.217213 | _job.py | pypi |
import google.datalab.bigquery as bq
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
class LoadOperator(BaseOperator):
"""Implements the BigQuery load magic used to load data from GCS to a table.
The supported syntax is:
%bq load <optional args>
Args:
arg... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/contrib/bigquery/operators/_bq_load_operator.py | 0.590307 | 0.263973 | _bq_load_operator.py | pypi |
"""Google Cloud Platform library - Pipeline IPython Functionality."""
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
try:
import IPython
import IPython.core.display
import IPython.core.magic
except ImportError:
raise Exception('This module ... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/contrib/pipeline/commands/_pipeline.py | 0.673621 | 0.188697 | _pipeline.py | pypi |
"""Google Cloud Platform library - ML Workbench Model Prediction Explainer."""
from __future__ import absolute_import
from __future__ import unicode_literals
import base64
import csv
import io
import numpy as np
import pandas as pd
from PIL import Image
import six
import tensorflow as tf
from tensorflow.python.lib.io... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/contrib/mlworkbench/_prediction_explainer.py | 0.908306 | 0.380615 | _prediction_explainer.py | pypi |
"""Google Cloud Platform library - ml cell magic."""
from __future__ import absolute_import
from __future__ import unicode_literals
import os
import psutil
import six
import subprocess
import sys
def _wait_and_kill(pid_to_wait, pids_to_kill):
""" Wait for a process to finish if it exists, and then kill a list of... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/contrib/mlworkbench/_shell_process.py | 0.547585 | 0.330147 | _shell_process.py | pypi |
"""Implements Dataset, and related Dataset BigQuery APIs."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
import google.datalab
import google.datalab.utils
from . import _api
from . import _table
from . import _utils
from . import _view
class Dataset(ob... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_dataset.py | 0.820757 | 0.319095 | _dataset.py | pypi |
"""Implements BigQuery HTTP API wrapper."""
from __future__ import absolute_import
from __future__ import unicode_literals
from past.builtins import basestring
from builtins import object
import google.datalab.utils
import google.datalab.bigquery
class Api(object):
"""A helper class to issue BigQuery HTTP request... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_api.py | 0.68763 | 0.243103 | _api.py | pypi |
"""Implements CSV options for External Tables and Table loads from GCS."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
class CSVOptions(object):
def __init__(self, delimiter=',', skip_leading_rows=0, encoding='utf-8', quote='"',
allow_q... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_csv_options.py | 0.918786 | 0.283275 | _csv_options.py | pypi |
"""Sampling for BigQuery."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from builtins import object
class Sampling(object):
"""Provides common sampling strategies.
Sampling strategies can be used for sampling tables or queries.
They are impl... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_sampling.py | 0.960602 | 0.566858 | _sampling.py | pypi |
"""Implements BigQuery Job functionality."""
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
import datetime
import google.datalab
from google.datalab.utils._gcp_job import GCPJob
from . import _api
class Job(GCPJob):
"""Represents a BigQuery Job.
... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_job.py | 0.582491 | 0.183191 | _job.py | pypi |
"""Implements BigQuery query job functionality."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from . import _job
from . import _query_results_table
class QueryJob(_job.Job):
""" Represents a BigQuery Query Job. """
def __init__(self, job_id, table_na... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_query_job.py | 0.908876 | 0.279331 | _query_job.py | pypi |
"""Implements External Table functionality."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
from . import _csv_options
class ExternalDataSource(object):
def __init__(self, source, source_format='csv', csv_options=None, ignore_unknown_values=False,
... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_external_data_source.py | 0.919068 | 0.312082 | _external_data_source.py | pypi |
"""Implements BigQuery related data parsing helpers."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from builtins import zip
from builtins import str
from builtins import object
import datetime
class Parser(object):
"""A set of helper functions to... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_parser.py | 0.856498 | 0.4881 | _parser.py | pypi |
"""Implements Table and View Schema APIs."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from builtins import range
from past.builtins import basestring
from builtins import object
import datetime
import pandas
import pprint
class SchemaField(object):
""... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_schema.py | 0.798972 | 0.423696 | _schema.py | pypi |
"""Google Cloud Platform library - BigQuery UDF Functionality."""
from __future__ import absolute_import
from __future__ import unicode_literals
from past.builtins import basestring
from builtins import object
class UDF(object):
"""Represents a BigQuery UDF declaration.
"""
@property
def name(self):
ret... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_udf.py | 0.915592 | 0.288629 | _udf.py | pypi |
"""Useful common utility functions."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from past.builtins import basestring
import collections
import re
DatasetName = collections.namedtuple('DatasetName', ['project_id', 'dataset_id'])
""" A namedtuple for Data... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_utils.py | 0.856632 | 0.428353 | _utils.py | pypi |
class QueryOutput(object):
@staticmethod
def table(name=None, mode='create', use_cache=True, priority='interactive',
allow_large_results=False):
""" Construct a query output object where the result is a table
Args:
name: the result table name as a string or TableName; if None (the defaul... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/bigquery/_query_output.py | 0.891457 | 0.443661 | _query_output.py | pypi |
from __future__ import absolute_import
import google.cloud.monitoring
from . import _query_metadata
from . import _utils
class Query(google.cloud.monitoring.Query):
"""Query object for retrieving metric data."""
def __init__(self,
metric_type=google.cloud.monitoring.Query.DEFAULT_METRIC_TYPE,
... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/stackdriver/monitoring/_query.py | 0.860296 | 0.246953 | _query.py | pypi |
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
import collections
import fnmatch
import pandas
import google.datalab
from . import _utils
class Groups(object):
"""Represents a list of Stackdriver groups for a project."""
_DISPLAY_HEADERS = ('Group I... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/stackdriver/monitoring/_group.py | 0.85753 | 0.151686 | _group.py | pypi |
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
import google.cloud.monitoring
import pandas
class QueryMetadata(object):
"""QueryMetadata object contains the metadata of a timeseries query."""
def __init__(self, query):
"""Initializes the QueryMeta... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/stackdriver/monitoring/_query_metadata.py | 0.922774 | 0.320436 | _query_metadata.py | pypi |
"""Implements Storage HTTP API wrapper."""
from __future__ import absolute_import
from __future__ import unicode_literals
from future import standard_library
standard_library.install_aliases() # noqa
from builtins import object
import google.datalab
import urllib.request
import urllib.parse
import urllib.error
impor... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/storage/_api.py | 0.803906 | 0.192919 | _api.py | pypi |
"""Implements Bucket-related Cloud Storage APIs."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
import dateutil.parser
import re
import google.datalab
import google.datalab.utils
from . import _api
from . import _object
# REs to match bucket names and... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/storage/_bucket.py | 0.899532 | 0.191365 | _bucket.py | pypi |
from collections import namedtuple
_CloudTrainingConfig = namedtuple("CloudConfig",
['region', 'scale_tier', 'master_type', 'worker_type',
'parameter_server_type', 'worker_count',
'parameter_server_count'])
_CloudT... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/ml/_cloud_training_config.py | 0.87068 | 0.330147 | _cloud_training_config.py | pypi |
from googleapiclient import discovery
import os
import yaml
import google.datalab as datalab
from . import _util
class Models(object):
"""Represents a list of Cloud ML models for a project."""
def __init__(self, project_id=None):
"""
Args:
project_id: project_id of the models. If not provided, de... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/ml/_cloud_models.py | 0.785473 | 0.201204 | _cloud_models.py | pypi |
import collections
import datetime
import fnmatch
import matplotlib.pyplot as plt
import os
import pandas as pd
import six
import tensorflow as tf
from tensorflow.core.util import event_pb2
from tensorflow.python.lib.io import tf_record
class Summary(object):
"""Represents TensorFlow summary events from files un... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/ml/_summary.py | 0.885928 | 0.37734 | _summary.py | pypi |
import numpy as np
import itertools
import json
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.metrics import confusion_matrix
import google.datalab.bigquery as bq
from . import _util
class ConfusionMatrix(object):
"""Represents a confusion matrix."""
def __init__(self, cm, labels):
""... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/ml/_confusion_matrix.py | 0.885384 | 0.541833 | _confusion_matrix.py | pypi |
import google.datalab as datalab
from googleapiclient import discovery
import yaml
import datetime
class Job(datalab.Job):
"""Represents a Cloud ML job."""
def __init__(self, name, context=None):
"""Initializes an instance of a CloudML Job.
Args:
name: the name of the job. It can be an operation f... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/ml/_job.py | 0.691914 | 0.173919 | _job.py | pypi |
import base64
import google.datalab as datalab
from google.datalab.utils.facets.generic_feature_statistics_generator \
import GenericFeatureStatisticsGenerator
import numpy as np
import pandas as pd
import re
import six
class FacetsOverview(object):
"""Represents A facets overview. """
def _remove_nonascii... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/ml/_fasets.py | 0.709724 | 0.311938 | _fasets.py | pypi |
import json
import pandas as pd
import sys
import google.datalab as datalab
import google.datalab.bigquery as bq
class FeatureSliceView(object):
"""Represents A feature slice view."""
def _get_lantern_format(self, df):
""" Feature slice view browser expects data in the format of:
{"metricValues":... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/ml/_feature_slice_view.py | 0.675551 | 0.382718 | _feature_slice_view.py | pypi |
"""A simple LRU cache."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from past.builtins import basestring
from builtins import object
import datetime
class LRUCache(object):
"""A simple LRU cache."""
def __init__(self, cache_size):
""" Initialize... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/utils/_lru_cache.py | 0.943335 | 0.321979 | _lru_cache.py | pypi |
"""Decorators for async methods and functions to dispatch on threads and support chained calls."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
import abc
import concurrent.futures
import functools
from google.datalab._job import Job
from future.utils imp... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/utils/_async.py | 0.764716 | 0.306164 | _async.py | pypi |
"""Miscellaneous simple utility functions."""
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
from builtins import str
try:
import http.client as httplib
except ImportError:
import httplib
import pytz
import six
import subprocess
import soc... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/utils/_utils.py | 0.572364 | 0.154631 | _utils.py | pypi |
"""Google Cloud Platform library - IPython HTML display Functionality."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from builtins import range
from past.builtins import basestring
from builtins import object
import time
class Html(object):
"""A helper ... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/utils/commands/_html.py | 0.884856 | 0.224225 | _html.py | pypi |
"""Implementation of command parsing and handling within magics."""
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
try:
import IPython
except ImportError:
raise Exception('This module can only be loaded in ipython.')
import argparse
import shl... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/utils/commands/_commands.py | 0.696887 | 0.209793 | _commands.py | pypi |
"""Google Cloud Platform library - Chart cell magic."""
from __future__ import absolute_import
from __future__ import unicode_literals
try:
import IPython
import IPython.core.display
import IPython.core.magic
except ImportError:
raise Exception('This module can only be loaded in ipython.')
from . import _com... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/utils/commands/_chart.py | 0.795181 | 0.234385 | _chart.py | pypi |
# flake8: noqa
from functools import partial
from .base_generic_feature_statistics_generator import BaseGenericFeatureStatisticsGenerator
import tensorflow as tf
# The feature name used to track sequence length when analyzing
# tf.SequenceExamples.
SEQUENCE_LENGTH_FEATURE_NAME = 'sequence length (derived feature)'
... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/google/datalab/utils/facets/base_feature_statistics_generator.py | 0.904226 | 0.455865 | base_feature_statistics_generator.py | pypi |
"""Implements Dataset, and related Dataset BigQuery APIs."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
import datalab.context
import datalab.utils
from . import _api
from . import _table
from . import _utils
from . import _view
class Dataset(object):... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_dataset.py | 0.89388 | 0.317162 | _dataset.py | pypi |
"""Implements BigQuery HTTP API wrapper."""
from __future__ import absolute_import
from __future__ import unicode_literals
from past.builtins import basestring
from builtins import object
import datalab.utils
import datalab.bigquery
class Api(object):
"""A helper class to issue BigQuery HTTP requests."""
# TOD... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_api.py | 0.716516 | 0.276152 | _api.py | pypi |
"""Implements External Table functionality."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
from . import _csv_options
class FederatedTable(object):
@staticmethod
def from_storage(source, source_format='csv', csv_options=None, ignore_unknown_values=... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_federated_table.py | 0.902361 | 0.328179 | _federated_table.py | pypi |
"""Implements CSV options for External Tables and Table loads from GCS."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
class CSVOptions(object):
def __init__(self, delimiter=',', skip_leading_rows=0, encoding='utf-8', quote='"',
allow_q... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_csv_options.py | 0.918786 | 0.283275 | _csv_options.py | pypi |
"""Sampling for BigQuery."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from builtins import object
class Sampling(object):
"""Provides common sampling strategies.
Sampling strategies can be used for sampling tables or queries.
They are impl... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_sampling.py | 0.954435 | 0.641619 | _sampling.py | pypi |
"""Implements Query BigQuery API."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
import datalab.context
import datalab.data
import datalab.utils
from . import _api
from . import _federated_table
from . import _query_job
from . import _sampling
from . imp... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_query.py | 0.929967 | 0.409162 | _query.py | pypi |
"""Implements BigQuery Job functionality."""
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
import datetime
import datalab.utils
from . import _api
class Job(datalab.utils.GCPJob):
"""Represents a BigQuery Job.
"""
def __init__(self, job_id, c... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_job.py | 0.638835 | 0.203391 | _job.py | pypi |
"""Implements BigQuery query job functionality."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from . import _job
from . import _query_results_table
class QueryJob(_job.Job):
""" Represents a BigQuery Query Job. """
def __init__(self, job_id, table_na... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_query_job.py | 0.910972 | 0.279091 | _query_job.py | pypi |
"""Implements BigQuery related data parsing helpers."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from builtins import zip
from builtins import str
from builtins import object
import datetime
class Parser(object):
"""A set of helper functions to... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_parser.py | 0.856498 | 0.4881 | _parser.py | pypi |
"""Google Cloud Platform library - BigQuery UDF Functionality."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from builtins import object
import json
class UDF(object):
"""Represents a BigQuery UDF declaration.
"""
@property
def name(self):
re... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_udf.py | 0.929015 | 0.323834 | _udf.py | pypi |
"""Useful common utility functions."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from past.builtins import basestring
import collections
import re
DatasetName = collections.namedtuple('DatasetName', ['project_id', 'dataset_id'])
""" A namedtuple for Data... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/bigquery/_utils.py | 0.856632 | 0.430985 | _utils.py | pypi |
from __future__ import absolute_import
import google.cloud.monitoring
from . import _query_metadata
from . import _utils
class Query(google.cloud.monitoring.Query):
"""Query object for retrieving metric data."""
def __init__(self,
metric_type=google.cloud.monitoring.Query.DEFAULT_METRIC_TYPE,
... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/stackdriver/monitoring/_query.py | 0.847463 | 0.23793 | _query.py | pypi |
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
import google.cloud.monitoring
import pandas
class QueryMetadata(object):
"""QueryMetadata object contains the metadata of a timeseries query."""
def __init__(self, query):
"""Initializes the QueryMeta... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/stackdriver/monitoring/_query_metadata.py | 0.922774 | 0.320436 | _query_metadata.py | pypi |
"""IPython Functionality for the Google Monitoring API."""
from __future__ import absolute_import
try:
import IPython.core.display
import IPython.core.magic
except ImportError:
raise Exception('This module can only be loaded in ipython.')
import datalab.stackdriver.monitoring as gcm
import datalab.utils.comman... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/stackdriver/commands/_monitoring.py | 0.896124 | 0.166608 | _monitoring.py | pypi |
"""Implements Storage HTTP API wrapper."""
from __future__ import absolute_import
from __future__ import unicode_literals
from future import standard_library
standard_library.install_aliases() # noqa
from builtins import object
import urllib.request
import urllib.parse
import urllib.error
import datalab.context
impo... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/storage/_api.py | 0.831725 | 0.203114 | _api.py | pypi |
"""Implements Bucket-related Cloud Storage APIs."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
import dateutil.parser
import re
import datalab.context
import datalab.utils
from . import _api
from . import _item
# REs to match bucket names and optiona... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/storage/_bucket.py | 0.937876 | 0.204978 | _bucket.py | pypi |
"""Helper functions for %%sql modules."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from past.builtins import basestring
from builtins import object
import shlex
from . import _sql_statement
from . import _utils
# It would be nice to be able to inherit ... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/data/_sql_module.py | 0.89996 | 0.339253 | _sql_module.py | pypi |
"""Implements Job functionality for async tasks."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from builtins import object
import concurrent.futures
import datetime
import time
import traceback
import uuid
class JobError(Exception):
""" A helper class t... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/utils/_job.py | 0.852767 | 0.257718 | _job.py | pypi |
"""A simple LRU cache."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from past.builtins import basestring
from builtins import object
import datetime
class LRUCache(object):
"""A simple LRU cache."""
def __init__(self, cache_size):
""" Initialize... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/utils/_lru_cache.py | 0.943335 | 0.321979 | _lru_cache.py | pypi |
"""Decorators for async methods and functions to dispatch on threads and support chained calls."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import object
import abc
import concurrent.futures
import functools
from . import _job
from future.utils import with_metaclas... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/utils/_async.py | 0.824356 | 0.2994 | _async.py | pypi |
"""Miscellaneous simple utility functions."""
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
from builtins import str
try:
import http.client as httplib
except ImportError:
import httplib
import pytz
import subprocess
import socket
import ... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/utils/_utils.py | 0.680135 | 0.298236 | _utils.py | pypi |
"""Google Cloud Platform library - IPython HTML display Functionality."""
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from builtins import range
from past.builtins import basestring
from builtins import object
import time
class Html(object):
"""A helper ... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/utils/commands/_html.py | 0.884576 | 0.223949 | _html.py | pypi |
"""Implementation of command parsing and handling within magics."""
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
try:
import IPython
except ImportError:
raise Exception('This module can only be loaded in ipython.')
import argparse
import shl... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/utils/commands/_commands.py | 0.726426 | 0.239072 | _commands.py | pypi |
"""Google Cloud Platform library - Chart cell magic."""
from __future__ import absolute_import
from __future__ import unicode_literals
try:
import IPython
import IPython.core.display
import IPython.core.magic
except ImportError:
raise Exception('This module can only be loaded in ipython.')
from . import _com... | /rajivpb-datalab-1.1.8.tar.gz/rajivpb-datalab-1.1.8/datalab/utils/commands/_chart.py | 0.793026 | 0.234735 | _chart.py | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /rajjr_probability-1.0.tar.gz/rajjr_probability-1.0/rajjr_probability/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
import collections
import itertools
from typing import Counter
from typing import List
from typing import Tuple
import spacy
from . import aggregators
from . import cog
from . import mappers
from . import phrasers
from . import scorers
from . import stop_tokens
class Rake(object):
"""Rapid Automatic Keyword Ext... | /rake_spacy-0.3.1-py3-none-any.whl/rake_spacy/rake.py | 0.839372 | 0.197309 | rake.py | pypi |
from typing import Callable
from typing import DefaultDict
from typing import Generic
from typing import TypeVar
from typing import Union
import spacy
KT = TypeVar("KT")
VT = TypeVar("VT")
class KeyType(Generic[KT]):
...
class ProxiedDefaultDict(KeyType[KT], DefaultDict[str, VT]):
"""A thin wrapper aroun... | /rake_spacy-0.3.1-py3-none-any.whl/rake_spacy/cog.py | 0.938695 | 0.4856 | cog.py | pypi |
from __future__ import annotations
import itertools
from abc import ABC
from abc import abstractmethod
from typing import Callable
from typing import List
import spacy
from .stop_tokens import BasicStopTokenIndicator
class BasePhraser(ABC):
@abstractmethod
def __call__(self, doc: spacy.tokens.Doc) -> List[... | /rake_spacy-0.3.1-py3-none-any.whl/rake_spacy/phrasers.py | 0.920066 | 0.259005 | phrasers.py | pypi |
# RaKUn 2.0
This is the repository containing the implementation of RaKUn 2.0, a very fast keyphrase extraction algorithm suitable for large-scale keyphrase retrieval.
[![Unit tests - pip package](https://github.com/SkBlaz/rakun2/actions/workflow... | /rakun2-0.25.tar.gz/rakun2-0.25/README.md | 0.630685 | 0.965641 | README.md | pypi |
item_insert = [
"item.itemUrl",
"item.itemNumber",
"item.itemName",
"item.itemPrice",
"item.genreId",
"item.catalogId",
"item.catalogIdExemptionReason",
"item.images",
"item.images.image",
"item.images.image.imageUrl",
"item.images.image.imageAlt",
"item.descriptionForPC"... | /rakuten-ws-0.5.2.tar.gz/rakuten-ws-0.5.2/rakuten_ws/parameters.py | 0.485112 | 0.37605 | parameters.py | pypi |
import re
from collections import OrderedDict
from collections.abc import MutableMapping
from shutil import copyfileobj
from mimetypes import guess_type
from io import BytesIO, open
from urllib.parse import urlparse
from urllib.request import pathname2url
import requests
from xmljson import Parker
from lxml.etree imp... | /rakuten-ws-0.5.2.tar.gz/rakuten-ws-0.5.2/rakuten_ws/utils.py | 0.748904 | 0.180395 | utils.py | pypi |
from __future__ import print_function
import sys
from decimal import ROUND_UP, Decimal, DecimalException
__author__ = 'Igor Davydenko'
__license__ = 'BSD License'
__script__ = 'ralc'
__version__ = '0.1'
IS_PY3 = sys.version_info[0] == 3
ROUNDER = Decimal('.01')
integer_types = (int, ) if IS_PY3 else (int, long) ... | /ralc-0.1.tar.gz/ralc-0.1/ralc.py | 0.477798 | 0.334793 | ralc.py | pypi |
## RALEIGH: RAL EIGensolver for real symmetric and Hermitian problems
RALEIGH is a Python implementation of the block Jacobi-conjugated gradients algorithm for computing several eigenpairs (eigenvalues and corresponding eigenvectors) of large scale real symmetric and Hermitian problems.
### Key features
* Can be ap... | /raleigh-1.3.3.tar.gz/raleigh-1.3.3/README.md | 0.639736 | 0.991414 | README.md | pypi |
# Executing Actions
## Tutorial 1: Simple Actions
At the heart of **ralf** is the ``Action`` class. An ``Action`` object represents
a basic data processing block and can take one of two forms: (1) a call to a
Large Language Model (LLM) or (2) a Python function.
The first example we will look at is defining and ex... | /ralf-jhuapl-0.0.4.tar.gz/ralf-jhuapl-0.0.4/docs/tutorials/executing_actions.ipynb | 0.508056 | 0.983085 | executing_actions.ipynb | pypi |
import random
import numpy as np
from typing import Optional
from collections import namedtuple
from ralf.dispatcher import Action
import ralf.utils as ru
DEFAULT_CLASSIFICATION_RESPONSE_PREFIX = 'Answer: '
DEFAULT_CLASSIFICATION_TEMPLATE = (
"Classify the following sentences. The answer choices are: {class_list... | /ralf-jhuapl-0.0.4.tar.gz/ralf-jhuapl-0.0.4/ralf/classifier.py | 0.882896 | 0.498291 | classifier.py | pypi |
import asyncio
from logging import getLogger
from typing import List, Optional, cast, TypeVar, Type, Tuple
import urllib3
from rallycli import BaseAPI
from rallycli.errors import RallyError
from rallycli.models import type_names, RallyTypeGeneric, Artifact, US
## logger definition
from rallycli.models.artifact_models... | /rally_cli-0.1.11-py3-none-any.whl/rallycli/apis/artifact_api.py | 0.718199 | 0.230075 | artifact_api.py | pypi |
import os
import sys
from datetime import datetime
from logging import getLogger
from typing import List, Optional
import urllib3
sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
from rallycli.base_api import BaseAPI
from rallycli.models import type_names, RallyTypeGeneric
## logger def... | /rally_cli-0.1.11-py3-none-any.whl/rallycli/apis/scm_api.py | 0.482673 | 0.171859 | scm_api.py | pypi |
from __future__ import annotations
import json
import re
from collections.abc import KeysView
from logging import getLogger
from typing import List, Optional, TypeVar, Type, Union
from box import Box
from pydantic import BaseModel, AnyHttpUrl, Field
from rallycli.models.memento import RallyPydanticMemento, Memento
... | /rally_cli-0.1.11-py3-none-any.whl/rallycli/models/base_models.py | 0.796253 | 0.191554 | base_models.py | pypi |
from datetime import datetime
from typing import Optional, Union, Any
from pydantic import HttpUrl
from rallycli.models import RallyTypeGeneric
class Artifact(RallyTypeGeneric):
CreationDate: Optional[datetime]
VersionId: Optional[int]
Subscription: Optional[Union[RallyTypeGeneric, str]]
Workspace: ... | /rally_cli-0.1.11-py3-none-any.whl/rallycli/models/artifact_models.py | 0.864982 | 0.473475 | artifact_models.py | pypi |
import copy
import csv
import logging
import re
from datetime import date
from typing import List, Union, Dict, cast, Any, Optional
from rallycli.errors import RallyError
from rallycli.models import RallyTypeGeneric, RallyType, RallyPydanticBase
logger = logging.getLogger(__name__)
def rally_lst(model_lst: List[Any... | /rally_cli-0.1.11-py3-none-any.whl/rallycli/utils/orig_utils.py | 0.668339 | 0.281338 | orig_utils.py | pypi |
from rally.task import validation
from rally_openstack.common import consts
from rally_openstack.task import scenario
from rally_openstack.task.scenarios.cinder import utils as cinder_utils
"""Scenarios for Cinder Volume Backup."""
@validation.add("number", param_name="size", minval=1, integer_only=True)
@validat... | /rally_openstack-2.3.0-py3-none-any.whl/rally_openstack/task/scenarios/cinder/volume_backups.py | 0.738198 | 0.287996 | volume_backups.py | pypi |
from rally.task import validation
from rally_openstack.common import consts
from rally_openstack.task import scenario
from rally_openstack.task.scenarios.cinder import utils as cinder_utils
"""Scenarios for Cinder QoS."""
@validation.add("required_services", services=[consts.Service.CINDER])
@validation.add("requi... | /rally_openstack-2.3.0-py3-none-any.whl/rally_openstack/task/scenarios/cinder/qos_specs.py | 0.71889 | 0.244871 | qos_specs.py | pypi |
import random
from rally.common import logging
from rally import exceptions
from rally.task import atomic
from rally.task import types
from rally.task import validation
from rally_openstack.common import consts
from rally_openstack.task import scenario
from rally_openstack.task.scenarios.cinder import utils as cinde... | /rally_openstack-2.3.0-py3-none-any.whl/rally_openstack/task/scenarios/cinder/volumes.py | 0.742235 | 0.337204 | volumes.py | pypi |
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