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
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from __future__ import annotations
import os
import sys
import _setup_returnn_env # noqa
import returnn.__main__ as rnn
from returnn.log import log
from returnn.config import Config
import argparse
from returnn.util.basic import hms, human_size, parse_orthography, parse_orthography_into_symbols, unicode
import gzip
... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/collect-orth-symbols.py | 0.444806 | 0.213992 | collect-orth-symbols.py | pypi |
from __future__ import annotations
import sys
import argparse
import _setup_returnn_env # noqa
from returnn.log import log
import returnn.__main__ as rnn
import returnn.datasets.hdf as hdf_dataset_mod
from returnn.datasets import Dataset, init_dataset
from returnn.config import Config
def hdf_dataset_init(file_nam... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/hdf_dump.py | 0.446736 | 0.240685 | hdf_dump.py | pypi |
from __future__ import annotations
import sys
import argparse
import gzip
import pickle
import typing
import numpy
import h5py
from operator import itemgetter
from itertools import islice, zip_longest
UNKNOWN_LABEL = "<UNK>"
POSTFIX = "</S>"
class HDFTranslationDatasetCreator(object):
"""
Creates the same ... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/hdf_dump_translation_dataset.py | 0.639286 | 0.368889 | hdf_dump_translation_dataset.py | pypi |
from __future__ import annotations
import os
import sys
import time
import numpy
import argparse
import typing
import _setup_returnn_env # noqa
import returnn.__main__ as rnn
from returnn.log import log
from returnn.util.basic import Stats, hms
from returnn.datasets import Dataset, init_dataset
import returnn.util.b... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/dump-dataset-raw-strings.py | 0.402157 | 0.217275 | dump-dataset-raw-strings.py | pypi |
from __future__ import annotations
import os
import numpy
import logging
import tensorflow as tf
import _setup_returnn_env # noqa
import returnn.tf.compat as tf_compat
from returnn.util import better_exchook
better_exchook.install()
flags = tf_compat.v1.flags
FLAGS = flags.FLAGS
flags.DEFINE_string("checkpoints",... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/tf_avg_checkpoints.py | 0.693888 | 0.26146 | tf_avg_checkpoints.py | pypi |
from __future__ import annotations
import torch
from typing import Callable, Optional, Dict
import argparse
import os
from random import random
import _setup_returnn_env # noqa
from returnn.config import Config
from returnn.log import log
from returnn.tensor import TensorDict
# noinspection PyProtectedMember
from re... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/torch_export_to_onnx.py | 0.935051 | 0.270507 | torch_export_to_onnx.py | pypi |
from __future__ import annotations
import os
import gzip
from argparse import ArgumentParser
from pprint import pprint
from xml.etree import ElementTree
import collections
from collections import defaultdict
import typing
import _setup_returnn_env # noqa
from returnn.datasets import init_dataset
from returnn.dataset... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/extract_state_tying_from_dataset.py | 0.703142 | 0.336794 | extract_state_tying_from_dataset.py | pypi |
from __future__ import annotations
import os
import sys
import time
import typing
import argparse
import numpy
from pprint import pformat
import _setup_returnn_env # noqa
import returnn.__main__ as rnn
from returnn.log import log
import returnn.util.basic as util
from returnn.util.basic import Stats, hms, NumbersDic... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/analyze-dataset-batches.py | 0.470007 | 0.196903 | analyze-dataset-batches.py | pypi |
from __future__ import annotations
import sys
from argparse import ArgumentParser
import gzip
from xml.etree import ElementTree
import itertools
import _setup_returnn_env # noqa
class BlissItem:
"""
Represents one entry in the Bliss XML.
"""
def __init__(self, segment_name, recording_filename, star... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/bliss-collect-seq-lens.py | 0.501709 | 0.216115 | bliss-collect-seq-lens.py | pypi |
from __future__ import annotations
import sys
import _setup_returnn_env # noqa
import returnn.__main__ as rnn
from returnn.log import log
from returnn.config import Config
import argparse
from returnn.util.basic import human_size, parse_orthography
from returnn.datasets.lm import Lexicon
import gzip
from xml.etree i... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/collect-words.py | 0.50293 | 0.203233 | collect-words.py | pypi |
from __future__ import annotations
import typing
import os
import sys
from pprint import pprint
import _setup_returnn_env # noqa
import returnn.__main__ as rnn
from returnn.log import log
from returnn.config import Config
import argparse
import returnn.util.basic as util
from returnn.tf.engine import Engine
from ret... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/debug-dump-search-scores.py | 0.549641 | 0.188175 | debug-dump-search-scores.py | pypi |
from __future__ import annotations
import typing
import os
import sys
from argparse import ArgumentParser
from decimal import Decimal
import tempfile
import gzip
import numpy
import xml.etree.ElementTree as ElementTree
import zipfile
import shutil
from subprocess import check_call
from glob import glob
import _setup_... | /returnn-1.20230902.233313.tar.gz/returnn-1.20230902.233313/tools/bliss-to-ogg-zip.py | 0.651466 | 0.207275 | bliss-to-ogg-zip.py | pypi |
import pandas
import numpy
from collections import Counter
from ipaddress import ip_network
from requests import get # to make GET request
import os
def get_series_from_counters(counter1, counter2, name=None):
"""
:param counter1:
:param counter2:
:param name:
:return: Two Panda Series with share... | /reuter_util-0.1.tar.gz/reuter_util-0.1/reuter_util/general.py | 0.464659 | 0.564279 | general.py | pypi |
# reuterspy
<h2 align="center">Financial Data Extraction from Reuters.com with Python</h2>
reuterspy is a Python package to retrieve data from [reuters.com](https://www.reuters.com/), which provides **Balance sheet, Cash Flow, Income Statement and Key Metrics**.
reuterspy allows the user to download both recent and h... | /reuterspy-1.0.tar.gz/reuterspy-1.0/README.md | 0.681621 | 0.97506 | README.md | pypi |
"""Client used or interacting with out sentiment analysis api"""
from .generic_api_client import GenericApiClient
from .models import SentimentAnalysisJob, SentimentAnalysisResult
class SentimentAnalysisClient(GenericApiClient):
"""Client for interacting with the Rev AI sentiment analysis api"""
# Default v... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/sentiment_analysis_client.py | 0.918489 | 0.227534 | sentiment_analysis_client.py | pypi |
"""Generic client used to interact with our newer style apis"""
from .baseclient import BaseClient
try:
from urllib.parse import urljoin
except ImportError:
from urlparse import urljoin
class GenericApiClient(BaseClient):
"""Generic client which handles logic for making requests to almost any Rev AI Api... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/generic_api_client.py | 0.799833 | 0.295433 | generic_api_client.py | pypi |
"""Client used or interacting with out sentiment analysis api"""
from .generic_api_client import GenericApiClient
from .models import TopicExtractionJob, TopicExtractionResult
class TopicExtractionClient(GenericApiClient):
"""Client for interacting with the Rev AI topic extraction api"""
# Default version o... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/topic_extraction_client.py | 0.928466 | 0.176672 | topic_extraction_client.py | pypi |
"""Speech recognition tools for using Rev AI"""
import json
from .models import Account, CaptionType, Job, Transcript
from .baseclient import BaseClient
from . import utils
try:
from urllib.parse import urljoin
except ImportError:
from urlparse import urljoin
class RevAiAPIClient(BaseClient):
"""Client ... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/apiclient.py | 0.848031 | 0.300669 | apiclient.py | pypi |
"""Speech recognition tools for using Rev AI"""
from .baseclient import BaseClient
from . import utils
from .models.customer_url_data import CustomerUrlData
try:
from urllib.parse import urljoin
except ImportError:
from urlparse import urljoin
class RevAiCustomVocabulariesClient(BaseClient):
"""Client w... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/custom_vocabularies_client.py | 0.867808 | 0.17522 | custom_vocabularies_client.py | pypi |
"""Sentiment analysis result model"""
from .sentiment_value import SentimentValue
class SentimentAnalysisResult:
def __init__(self, messages):
"""
:param messages: list of sentimented statements from the input in order of how they appeared
in the input.
"""
... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/models/insights/sentiment_analysis/sentiment_analysis_result.py | 0.86626 | 0.556098 | sentiment_analysis_result.py | pypi |
"""Job model"""
from ...asynchronous.job_status import JobStatus
class SentimentAnalysisJob:
def __init__(
self, id_, created_on, status,
completed_on=None,
callback_url=None,
metadata=None,
failure=None,
failure_detail=None,
wor... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/models/insights/sentiment_analysis/sentiment_analysis_job.py | 0.792906 | 0.162181 | sentiment_analysis_job.py | pypi |
class TopicExtractionResult:
def __init__(self, topics):
"""
:param topics: list of topics included in output
"""
self.topics = topics
def __eq__(self, other):
"""Override default equality operator"""
if isinstance(other, self.__class__):
return all(a... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/models/insights/topic_extraction/topic_extraction_result.py | 0.87444 | 0.382949 | topic_extraction_result.py | pypi |
"""Job model"""
from ...asynchronous.job_status import JobStatus
class TopicExtractionJob:
def __init__(
self, id_, created_on, status,
completed_on=None,
metadata=None,
failure=None,
failure_detail=None,
word_count=None,
delete_... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/models/insights/topic_extraction/topic_extraction_job.py | 0.789112 | 0.153137 | topic_extraction_job.py | pypi |
"""Job model"""
from ..asynchronous.job_status import JobStatus
class LanguageIdentificationJob:
def __init__(
self, id_, created_on, status,
completed_on=None,
callback_url=None,
metadata=None,
media_url=None,
failure=None,
fail... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/models/language_id/language_id_job.py | 0.783823 | 0.163245 | language_id_job.py | pypi |
class Transcript:
def __init__(self, monologues):
"""
:param monologues: list of monologues included in output
"""
self.monologues = monologues
def __eq__(self, other):
"""Override default equality operator"""
if isinstance(other, self.__class__):
ret... | /rev_ai-2.18.0.tar.gz/rev_ai-2.18.0/src/rev_ai/models/asynchronous/transcript.py | 0.877306 | 0.329284 | transcript.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 ... | /rev_distributions-0.1.tar.gz/rev_distributions-0.1/distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
import json
import sys
import logging
import pandas
import time
import os
log = logging.getLogger(__file__)
handler = logging.StreamHandler()
log.addHandler(handler)
log.setLevel(logging.WARNING)
def json_reader(input_file):
"""
Read JSON from rev
Arguments:
input_file (str, required) : Path to ... | /rev-reader-0.0.3.tar.gz/rev-reader-0.0.3/rev_reader/rev_reader.py | 0.5144 | 0.190366 | rev_reader.py | pypi |
#pylint: disable=C0413
import sys
import argparse
import itertools
import numpy as np
import pandas as pd
import pysam
#pylint: disable=E0611
from pysam import VariantFile
def make_no_change_dict(vcf_path):
"""
Makes a no change list from a vcf file
Parameters
----------
vcf_path : str
loc... | /rev-seqs-0.0.1.tar.gz/rev-seqs-0.0.1/revseqs/revseqs.py | 0.464416 | 0.247527 | revseqs.py | pypi |
from sklearn.datasets import make_blobs
from sklearn.model_selection import train_test_split
from reval.best_nclust_cv import FindBestClustCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.cluster import AgglomerativeClustering
from sklearn.metrics import zero_one_loss, adjusted_mutual_info_score
from ... | /reval-1.1.0-py3-none-any.whl/working_examples/blobs.py | 0.894017 | 0.642292 | blobs.py | pypi |
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
from reval.best_nclust_cv import FindBestClustCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.cluster import AgglomerativeClustering
from sklearn.metrics import zero_one_loss, adjusted_mutual_info_score
imp... | /reval-1.1.0-py3-none-any.whl/working_examples/mnist.py | 0.896784 | 0.652767 | mnist.py | pypi |
import time
from sklearn.datasets import make_blobs
from sklearn.model_selection import train_test_split
from reval.best_nclust_cv import FindBestClustCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
import numpy as np
def blobs_performance():
... | /reval-1.1.0-py3-none-any.whl/working_examples/blobs_performance.py | 0.710528 | 0.595669 | blobs_performance.py | pypi |
from sklearn.datasets import make_blobs
from sklearn.model_selection import train_test_split
from reval.best_nclust_cv import FindBestClustCV
from reval.visualization import plot_metrics
from sklearn.neighbors import KNeighborsClassifier
from sklearn.cluster import AgglomerativeClustering
from sklearn.metrics import ad... | /reval-1.1.0-py3-none-any.whl/working_examples/data_dimensionality.py | 0.928389 | 0.742381 | data_dimensionality.py | pypi |
from sklearn.datasets import make_blobs, load_digits
from sklearn.model_selection import train_test_split
from reval.best_nclust_cv import FindBestClustCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.cluster import AgglomerativeClustering, KMeans, SpectralClustering
from sklearn.metrics import zero_o... | /reval-1.1.0-py3-none-any.whl/working_examples/manuscript_examples.py | 0.892796 | 0.627295 | manuscript_examples.py | pypi |
import numpy as np
from scipy.optimize import curve_fit
import platform, subprocess
from datetime import datetime, date
def get_processor_info():
"""
Simple function to get computer information output as a string
"""
if platform.system() == "Windows":
r = platform.processor()
elif platform.... | /revarie-1.4.0-py3-none-any.whl/benchmarking/output.py | 0.721743 | 0.305076 | output.py | pypi |
from revarie import Revarie
from revarie import Variogram
from revarie import fvariogram
import numpy as np
import time
import datetime
from .output import write
from pathlib import Path
def bench_variogram(tlimit = 15, path = "."):
"""
Run timing benchmark test for variogram class. Results are formatted and
... | /revarie-1.4.0-py3-none-any.whl/benchmarking/standard.py | 0.640636 | 0.325963 | standard.py | pypi |
RevCode
=======
A Roman encoding and mapping module for Indian languages.
*Languages Supported*
---------------------
* Hindi
* Punjabi
* Gujarati
* Marathi
* Kannada
* Telugu
* Tamil
* Malayalam
* Oriya
* Assamese
* Bengali
Installation
============
>From PyPI:
```pip install revcode```
>From source `tar.gz` bu... | /revcode-2.1-py3-none-any.whl/revcode-2.1.dist-info/DESCRIPTION.rst | 0.642657 | 0.842475 | DESCRIPTION.rst | pypi |
from boto3.dynamodb.conditions import Key, ConditionExpressionBuilder, Attr
import re
from boto3.dynamodb.types import TypeDeserializer, TypeSerializer
ATTR_NAME_REGEX = re.compile(r'[^.\[\]]+(?![^\[]*\])')
class ExpressionBuilder(ConditionExpressionBuilder):
def _build_value_placeholder(self, value, attribute_v... | /revcore_micro-0.7.6-py3-none-any.whl/revcore_micro/ddb/conditions.py | 0.573678 | 0.227781 | conditions.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
def pagerank_limit_push(s, r, w_i, a_i, push_node, rho):
"""
Performs a random step without a self-loop.
"""
# Calculate the A and B quantities to infinity
A_inf = rho*r[push_node]
B_inf = (1-rho)*r[push_node]
# Update approximate Pageran... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/eps_randomwalk/push.py | 0.781331 | 0.712061 | push.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
from collections import deque
import numpy as np
from reveal_graph_embedding.eps_randomwalk.push import pagerank_limit_push
from reveal_graph_embedding.eps_randomwalk.push import pagerank_lazy_push
from reveal_graph_embedding.eps_randomwalk.push import cumulative_pag... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/eps_randomwalk/similarity.py | 0.796055 | 0.351228 | similarity.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import numpy as np
import scipy.sparse as sparse
import ctypes as c
import multiprocessing as mp
def get_label_based_random_walk_matrix(adjacency_matrix, labelled_nodes, label_absorption_probability):
"""
Returns the label-absorbing random walk transition pr... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/eps_randomwalk/transition.py | 0.780412 | 0.706558 | transition.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import numpy as np
import scipy.sparse as sparse
from sklearn.metrics import precision_recall_fscore_support
from sklearn.metrics import f1_score
def form_node_label_prediction_matrix(y_pred, y_test):
"""
Given the discriminator distances, this function form... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/learning/evaluation.py | 0.917735 | 0.673571 | evaluation.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import numpy as np
import scipy.sparse as spsp
from reveal_graph_embedding.embedding.implicit import get_adjacency_matrix_via_combinatorial_laplacian,\
get_adjacency_matrix_via_directed_laplacian
def get_unnormalized_laplacian(adjacency_matrix):
# Calculate... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/embedding/laplacian.py | 0.890384 | 0.650564 | laplacian.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import multiprocessing as mp
import itertools
import numpy as np
import scipy.sparse as sparse
from reveal_graph_embedding.common import get_threads_number
from reveal_graph_embedding.eps_randomwalk.transition import get_natural_random_walk_matrix
from reveal_graph_e... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/embedding/arcte/arcte.py | 0.630685 | 0.404743 | arcte.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import os
import numpy as np
from reveal_graph_embedding.common import get_file_row_generator
def write_results(performance_measures, target_file_path):
with open(target_file_path, "w") as fp:
first_row = "*** Percentages:" + "\n"
fp.write(first... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/datautil/score_rw_util.py | 0.497315 | 0.328045 | score_rw_util.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import numpy as np
import scipy.sparse as spsp
from reveal_user_annotation.common.datarw import get_file_row_generator
def read_oslom_features(oslom_folder, number_of_nodes):
oslom_path = oslom_folder + "/tp"
number_of_levels = 0
while True:
... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/datautil/read_exotic_features.py | 0.404978 | 0.383959 | read_exotic_features.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
try:
import cPickle as pickle
except ImportError:
import pickle
import numpy as np
import scipy.sparse as spsp
def get_file_row_generator(file_path, separator, encoding=None):
"""
Reads an separated value file row by row.
Inputs: - file_path: T... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/datautil/datarw.py | 0.665737 | 0.397968 | datarw.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import numpy as np
import scipy.sparse as sparse
from reveal_graph_embedding.common import get_file_row_generator
def read_adjacency_matrix(file_path, separator):
"""
Reads an edge list in csv format and returns the adjacency matrix in SciPy Sparse COOrdina... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/datautil/asu_datautil/asu_read_data.py | 0.855157 | 0.656521 | asu_read_data.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import numpy as np
import scipy.sparse as spsp
from reveal_graph_embedding.common import get_file_row_generator
def read_adjacency_matrix(file_path, separator, numbering="matlab"):
"""
Reads an edge list in csv format and returns the adjacency matrix in Sci... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/datautil/insight_datautil/insight_read_data.py | 0.792062 | 0.497742 | insight_read_data.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import numpy as np
import scipy.sparse as spsp
from collections import defaultdict
from reveal_graph_embedding.common import get_file_row_generator
def read_adjacency_matrix(file_path, separator, numbering="matlab"):
"""
Reads an edge list in csv format and... | /reveal-graph-embedding-0.1.4.tar.gz/reveal-graph-embedding-0.1.4/reveal_graph_embedding/datautil/snow_datautil/snow_read_data.py | 0.786541 | 0.569314 | snow_read_data.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import twython
from twython import Twython
import time
from urllib.error import URLError
from http.client import BadStatusLine
from reveal_user_annotation.common.config_package import get_package_path
from reveal_user_annotation.common.datarw import get_file_row_gene... | /reveal-user-annotation-0.2.2.tar.gz/reveal-user-annotation-0.2.2/reveal_user_annotation/twitter/twitter_util.py | 0.546496 | 0.155687 | twitter_util.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
from collections import defaultdict
from reveal_user_annotation.text.clean_text import clean_document
from reveal_user_annotation.text.text_util import reduce_list_of_bags_of_words
def clean_twitter_list(twitter_list, lemmatizing="wordnet"):
"""
Extracts th... | /reveal-user-annotation-0.2.2.tar.gz/reveal-user-annotation-0.2.2/reveal_user_annotation/twitter/clean_twitter_list.py | 0.665411 | 0.206194 | clean_twitter_list.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
from reveal_user_annotation.common.config_package import get_package_path
from reveal_user_annotation.common.datarw import get_file_row_generator
def get_topic_set(file_path):
"""
Opens one of the topic set resource files and returns a set of topics.
- ... | /reveal-user-annotation-0.2.2.tar.gz/reveal-user-annotation-0.2.2/reveal_user_annotation/twitter/manage_resources.py | 0.619932 | 0.256122 | manage_resources.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import requests
import xml.etree.cElementTree as etree
from io import StringIO
def get_user_list(host_name, client_name, client_pass):
"""
Pulls the list of users in a client.
Inputs: - host_name: A string containing the address of the machine where the... | /reveal-user-annotation-0.2.2.tar.gz/reveal-user-annotation-0.2.2/reveal_user_annotation/pserver/request.py | 0.575946 | 0.179746 | request.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import numpy as np
import nltk
def combine_word_list(word_list):
"""
Combine word list into a bag-of-words.
Input: - word_list: This is a python list of strings.
Output: - bag_of_words: This is the corresponding multi-set or bag-of-words, in the f... | /reveal-user-annotation-0.2.2.tar.gz/reveal-user-annotation-0.2.2/reveal_user_annotation/text/text_util.py | 0.773559 | 0.499451 | text_util.py | pypi |
__author__ = 'Georgios Rizos (georgerizos@iti.gr)'
import argparse
from reveal_user_classification.preprocess.snow.snow_2014_graph_dataset_util import process_tweet_collection,\
make_directory_tree, weakly_connected_graph, make_implicit_graphs, make_annotation
from reveal_user_annotation.mongo.store_snow_data imp... | /reveal-user-classification-0.2.8.tar.gz/reveal-user-classification-0.2.8/reveal_user_classification/preprocess/snow/make_snow_2014_graph_dataset.py | 0.427038 | 0.163012 | make_snow_2014_graph_dataset.py | pypi |
__author__ = "Yuan Chang"
__copyright__ = "Copyright (C) 2019-2020"
__license__ = "MIT"
__email__ = "pyslvs@gmail.com"
from typing import (
cast, get_type_hints, overload, TypeVar, Tuple, List, Sequence, Dict,
Mapping, OrderedDict, Iterator, ItemsView, Union, Type, Any,
)
from abc import ABCMeta
from dataclas... | /reveal_yaml-2.4.0-py3-none-any.whl/reveal_yaml/slides.py | 0.859354 | 0.190498 | slides.py | pypi |
<p align="center">
<img src="docs/images/logo.png" alt="Logo" width="600"><br/>
<b>Retrospective Extraction of Visual and Logical Insights for Ontology-based interpretation of Neural Networks</b>
</p>
<b>RevelioNN</b> is an open-source library of post-hoc algorithms for explaining predictions of deep convolutional
n... | /revelionn-1.0.1.tar.gz/revelionn-1.0.1/README.md | 0.925297 | 0.983327 | README.md | pypi |
import base64
import binascii
import json
import secrets
import string
import struct
from functools import reduce
from operator import concat
from typing import Any, Tuple, Union
from urllib.parse import parse_qsl, urlencode as urlencode_
from fulldict import FullDict
def to_bytes(data: Any, encoding: str = "utf-8")... | /revensky.webtools-1.0.0-py3-none-any.whl/webtools.py | 0.86132 | 0.529628 | webtools.py | pypi |
from copy import copy
from typing import Tuple, List, Dict, Union
from revenue_maximization_ranking.cascade\
.fixed_attention import optimal_rankings
from revenue_maximization_ranking._types import DistributionLike
__all__ = ["best_x_full_capacity", "best_x"]
def best_x(products: Dic... | /revenue_maximization_ranking-0.0.4-py3-none-any.whl/revenue_maximization_ranking/cascade/best_x.py | 0.961153 | 0.706077 | best_x.py | pypi |
from copy import copy
from typing import Dict, Tuple
from collections import defaultdict
__all__ = ["optimal_rankings"]
def key(product_: Tuple[str, Dict]) -> Tuple[float, float]:
"""Lemma 1 sorting key for the fixed attention problem.
An optimal ranking for the fixed attention problem is sorted
by this... | /revenue_maximization_ranking-0.0.4-py3-none-any.whl/revenue_maximization_ranking/cascade/fixed_attention.py | 0.939269 | 0.598547 | fixed_attention.py | pypi |
import pandas as pd
from typing import Dict, List, Union, Tuple
from revenue_maximization_ranking.cascade.best_x import best_x_full_capacity
from revenue_maximization_ranking.cascade\
.revenue import expected_revenue as exp_rev
from revenue_maximization_ranking._types import Distributio... | /revenue_maximization_ranking-0.0.4-py3-none-any.whl/revenue_maximization_ranking/cascade/dataframe.py | 0.946424 | 0.805135 | dataframe.py | pypi |
import re
def _prioritize(a, b, priority):
a = '(?:%s)' % a.text if a.priority < priority else a.text
b = '(?:%s)' % b.text if b.priority < priority else b.text
return a, b
class Raw(object):
text = None # basic Regexp
priority = 99 # priority (controls auto-added parentheses):
... | /reverb-2.0.1.zip/reverb-2.0.1/reverb.py | 0.579043 | 0.300027 | reverb.py | pypi |
import re
import sys
from argparse import SUPPRESS, Action, ArgumentParser, Namespace
from typing import List, Sequence
class ReverseArgumentParser:
"""
Argument parsing in reverse.
Whereas :class:`argparse.ArgumentParser` is concerned with taking a
bunch of command line arguments and parsing them in... | /reverse_argparse-1.0.4-py3-none-any.whl/reverse_argparse/reverse_argparse.py | 0.787523 | 0.504944 | reverse_argparse.py | pypi |
__author__ = 'Ajay Thampi'
import numpy as np
import multiprocessing as mp
import ctypes
from scipy.spatial import cKDTree
def shmem_as_nparray(shmem_array):
"""
Function that converts a shared memory array (multiprocessing.Array) to a numpy array
"""
return np.frombuffer(shmem_array.get_obj())
def _p... | /reverse_geocoder_whl-1.5.3.tar.gz/reverse_geocoder_whl-1.5.3/reverse_geocoder_whl/cKDTree_MP.py | 0.542621 | 0.416915 | cKDTree_MP.py | pypi |
from __future__ import print_function
__author__ = 'Ajay Thampi'
import os
import sys
import csv
if sys.platform == 'win32':
# Windows C long is 32 bits, and the Python int is too large to fit inside.
# Use the limit appropriate for a 32-bit integer as the max file size
csv.field_size_limit(2**31-1)
else:
... | /reverse_geocoder_whl-1.5.3.tar.gz/reverse_geocoder_whl-1.5.3/reverse_geocoder_whl/__init__.py | 0.522689 | 0.212865 | __init__.py | pypi |
from pathlib import Path
from typing import Iterator, List, Tuple
import cv2
import numpy as np
from joblib import Parallel, delayed
from skimage.metrics import structural_similarity
from reverse_image_search import config
def load_image(path: Path, grayscale=True) -> np.ndarray:
if grayscale:
img = cv2... | /reverse_image_search-0.2.1-py3-none-any.whl/reverse_image_search/search.py | 0.685844 | 0.324824 | search.py | pypi |
import re
from collections import defaultdict
from multiprocessing import Process
from kafka import TopicPartition
from logger import kafka_factory
from logger.constant import BATCH_SIZE
def search_messages_in_parallel(topic, brokers, regex):
"""
Messages will be searched in parallel by spawning process per parti... | /reverse-kafka-logger-0.1.2.tar.gz/reverse-kafka-logger-0.1.2/logger/grep_manager.py | 0.540681 | 0.174762 | grep_manager.py | pypi |
from json import loads, JSONDecodeError
import re
from ipaddress import IPv4Address, AddressValueError
from .net.http import ApiRequester
from .models.response import Response
from .exceptions.error import ParameterError, EmptyApiKeyError, \
UnparsableApiResponseError
class Client:
__default_url = "https://r... | /reverse-mx-1.0.0.tar.gz/reverse-mx-1.0.0/src/reversemx/client.py | 0.77137 | 0.165863 | client.py | pypi |
from pathlib import PurePath
import pandas as pd, numpy as np
import werkzeug, json
from .utils import get_feature_ind, get_json
from sklearn.impute import SimpleImputer
class ReadWebFile:
def __init__(self, filepath):
self.filepath = filepath
if isinstance(filepath, werkzeug.datastructures.FileSt... | /reverse-projection-0.0.2.5.tar.gz/reverse-projection-0.0.2.5/reverse_projection/webapis/data.py | 0.405096 | 0.279472 | data.py | pypi |
from hyperopt import hp, tpe, STATUS_OK, Trials, fmin
import numpy as np
def searching_fn(params, point, transformer, axises):
point = np.array(point)
outputted_point = transformer.transform(np.array(params).reshape(1, -1)).reshape(-1, )[axises]
error = outputted_point - point
error = (error**2).sum()
... | /reverse-projection-0.0.2.5.tar.gz/reverse-projection-0.0.2.5/reverse_projection/search/algorithms.py | 0.644449 | 0.411584 | algorithms.py | pypi |
import datetime
from json import loads, JSONDecodeError
import re
from .net.http import ApiRequester
from .models.response import Response
from .models.request import Fields
from .exceptions.error import ParameterError, EmptyApiKeyError, \
UnparsableApiResponseError
class Client:
__default_url = "https://rev... | /reverse_whois-1.0.0-py3-none-any.whl/reversewhois/client.py | 0.784897 | 0.18628 | client.py | pypi |
from cms.models import Placeholder
from cms.plugin_rendering import ContentRenderer
from sekizai.context import SekizaiContext
import diff_match_patch as dmp
def revert_escape(txt, transform=True):
"""
transform replaces the '<ins ' or '<del ' with '<div '
:type transform: bool
"""
html = txt.rep... | /reversion2-0.3.tar.gz/reversion2-0.3/djangocms_reversion2/diff.py | 0.618089 | 0.249002 | diff.py | pypi |
import re
from reverso_context_api.misc import BASE_URL
from reverso_context_api.session import ReversoSession
FAVORITES_PAGE_SIZE = 50
class Client(object):
def __init__(self, source_lang, target_lang, credentials=None, user_agent=None):
"""
Simple client for Reverso Context
Language c... | /reverso_context_api-0.5.tar.gz/reverso_context_api-0.5/reverso_context_api/client.py | 0.71423 | 0.195153 | client.py | pypi |
import logging
from typing import Optional, get_type_hints, List
from bson import ObjectId
from pymongo import MongoClient
from pymongo.collection import Collection
not_fields = ('_client', '_db', '_collection', '_indexes')
class Document:
_id: Optional[ObjectId]
_client: MongoClient
_db: str
_col... | /revfyawo.mongo-0.0.6-py3-none-any.whl/revfyawo/mongo/document.py | 0.828176 | 0.154823 | document.py | pypi |
"""Contains functions to interface with GitHub."""
import logging
import threading
import requests
from review.bot.misc import _get_gh_token
LOG = logging.getLogger(__name__)
LOG.setLevel("DEBUG")
def _fetch_file_content(file_data, headers):
"""Fetch the content of a single file."""
content_response = requ... | /review_bot-0.1.1-py3-none-any.whl/review/bot/gh_interface.py | 0.856677 | 0.224703 | gh_interface.py | pypi |
"""Interface module for local GIT files."""
import logging
import os
from pathlib import Path
LOG = logging.getLogger(__name__)
LOG.setLevel("DEBUG")
try:
from git import Repo
except ImportError as err:
LOG.warning(f"Error while importing git: {err}")
LOG.warning(f"Usage of review_bot might lead to errors... | /review_bot-0.1.1-py3-none-any.whl/review/bot/git_interface.py | 0.700997 | 0.286831 | git_interface.py | pypi |
"""Functions to interface with OpenAI."""
import logging
from typing import Dict, List
import openai
import review.bot.defaults as defaults
from review.bot.exceptions import EmptyOpenAIResponseException
from review.bot.gh_interface import get_changed_files_and_contents
from review.bot.git_interface import LocalGit
fr... | /review_bot-0.1.1-py3-none-any.whl/review/bot/open_ai_interface.py | 0.889135 | 0.290301 | open_ai_interface.py | pypi |
from __future__ import annotations
import requests
import requests_cache
from dataclasses import dataclass
from datetime import datetime, timezone
import base64
import math
class RepoRetriveal:
"""
Class to download pulls and commit from a GitHub repository.
"""
@dataclass
class PullRequest:
... | /review_recommender-1.0.3.tar.gz/review_recommender-1.0.3/src/review_recommender/data_retriveal.py | 0.719679 | 0.191554 | data_retriveal.py | pypi |
from __future__ import annotations
import math
from dataclasses import dataclass
@dataclass
class ItemReference:
item: object
length_squared: float
def __hash__(self) -> int:
return self.item.__hash__()
@dataclass
class TokenOccurence:
item_ref: ItemReference
count: int
@dataclass
clas... | /review_recommender-1.0.3.tar.gz/review_recommender-1.0.3/src/review_recommender/inverted_files.py | 0.871803 | 0.381479 | inverted_files.py | pypi |
from collections import OrderedDict
import datetime
from dateutil.relativedelta import relativedelta
class BaseService(object):
def format_duration(self, created_at):
"""
Formats the duration the review request is pending for
Args:
created_at (str): the date review request was... | /review-rot-0.0.tar.gz/review-rot-0.0/reviewrot/basereview.py | 0.903769 | 0.315143 | basereview.py | pypi |
__version__ = (1, 0, 0, "final", 0)
import distutils.dist
import distutils.errors
class VersiontoolsEnchancedDistributionMetadata(distutils.dist.DistributionMetadata):
"""
A subclass of distutils.dist.DistributionMetadata that uses versiontools
Typically you would not instantiate this class directly. It... | /reviewboard-svn-hooks-0.2.1-r20.tar.gz/reviewboard-svn-hooks-0.2.1-r20/versiontools_support.py | 0.657209 | 0.278024 | versiontools_support.py | pypi |
====================
Review Bot Extension
====================
`Review Bot`_ is a tool for automating tasks on code uploaded to `Review
Board`_, and posting the results as a code review. Review Bot was built to
automate the execution of static analysis tools.
The Review Bot extension integrates Review Board with one ... | /reviewbot-extension-3.2.tar.gz/reviewbot-extension-3.2/README.rst | 0.8777 | 0.735452 | README.rst | pypi |
from __future__ import unicode_literals
import json
from importlib import import_module
from django.forms.widgets import MultiWidget
from django.utils.html import format_html
from django.utils.safestring import mark_safe
class ToolOptionsWidget(MultiWidget):
"""Widget for showing tool-specific options.
Re... | /reviewbot-extension-3.2.tar.gz/reviewbot-extension-3.2/reviewbotext/widgets.py | 0.855731 | 0.207155 | widgets.py | pypi |
=================
Review Bot Worker
=================
`Review Bot`_ is a tool for automating tasks on code uploaded to `Review
Board`_, and posting the results as a code review. Review Bot was built to
automate the execution of static analysis tools.
The Review Bot worker is the service component of Review Bot that p... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/README.rst | 0.880116 | 0.741159 | README.rst | pypi |
from __future__ import unicode_literals
import warnings
class BaseRemovedInReviewBotVersionWarning(DeprecationWarning):
"""Base class for a Review Bot deprecation warning.
All version-specific deprecation warnings inherit from this, allowing
callers to check for Review Bot deprecations without being tie... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/reviewbot/deprecation.py | 0.848157 | 0.279838 | deprecation.py | pypi |
from __future__ import unicode_literals
import os
import subprocess
import sys
from reviewbot.utils.log import get_logger
logger = get_logger(__name__)
def execute(command,
env=None,
split_lines=False,
ignore_errors=False,
extra_ignore_errors=(),
transl... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/reviewbot/utils/process.py | 0.665193 | 0.257914 | process.py | pypi |
"""Review Bot tool to run cpplint."""
from __future__ import unicode_literals
import re
from reviewbot.config import config
from reviewbot.tools.base import BaseTool
from reviewbot.utils.process import execute
class CPPLintTool(BaseTool):
"""Review Bot tool to run cpplint."""
name = 'cpplint'
version ... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/reviewbot/tools/cpplint.py | 0.900218 | 0.15785 | cpplint.py | pypi |
from __future__ import unicode_literals
from reviewbot.config import config
from reviewbot.tools import BaseTool
from reviewbot.utils.process import execute
class PycodestyleTool(BaseTool):
"""Review Bot tool to run pycodestyle."""
name = 'pycodestyle'
version = '1.0'
description = 'Checks Python c... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/reviewbot/tools/pycodestyle.py | 0.90031 | 0.159577 | pycodestyle.py | pypi |
from __future__ import unicode_literals
import json
import os
import re
from collections import OrderedDict
import six
from reviewbot.config import config
from reviewbot.tools.base import BaseTool, FullRepositoryToolMixin
from reviewbot.utils.process import execute
class GoTool(FullRepositoryToolMixin, BaseTool):... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/reviewbot/tools/gotool.py | 0.751557 | 0.285465 | gotool.py | pypi |
from __future__ import unicode_literals
import json
from reviewbot.config import config
from reviewbot.tools.base import BaseTool
from reviewbot.utils.process import execute
from reviewbot.utils.text import split_comma_separated
class RubocopTool(BaseTool):
"""Review Bot tool to run rubocop."""
name = 'Ru... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/reviewbot/tools/rubocop.py | 0.857365 | 0.246295 | rubocop.py | pypi |
from __future__ import unicode_literals
from reviewbot.deprecation import RemovedInReviewBot40Warning
from reviewbot.tools.base import BaseTool, FullRepositoryToolMixin
class Tool(BaseTool):
"""Legacy base class for tools.
Deprecated:
3.0:
Subclasses should instead inherit from
:py:... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/reviewbot/tools/__init__.py | 0.859973 | 0.192748 | __init__.py | pypi |
from __future__ import unicode_literals
import os
import re
from reviewbot.config import config
from reviewbot.utils.filesystem import chdir, ensure_dirs_exist
from reviewbot.utils.process import execute
from reviewbot.utils.text import split_comma_separated
# Python 3.4+ includes glob.escape, but older versions do... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/reviewbot/tools/base/mixins.py | 0.794066 | 0.153105 | mixins.py | pypi |
from __future__ import unicode_literals
import pkg_resources
import six
from reviewbot.utils.log import get_logger
logger = get_logger(__name__,
is_task_logger=False)
#: A mapping of tool IDs to tool classes.
#:
#: Type
#: dict
_registered_tools = {}
def register_tool_class(tool_cls):
... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/reviewbot/tools/base/registry.py | 0.798029 | 0.197444 | registry.py | pypi |
from __future__ import unicode_literals
from fnmatch import fnmatchcase
from reviewbot.config import config
from reviewbot.utils.log import get_logger
from reviewbot.utils.process import is_exe_in_path
class BaseTool(object):
"""The base class all Review Bot tools should inherit from.
This class provides ... | /reviewbot-worker-3.2.tar.gz/reviewbot-worker-3.2/reviewbot/tools/base/tool.py | 0.892111 | 0.240362 | tool.py | pypi |
import argparse
import collections
import pandas as pd
EXPECTED_COLUMNS = {"Path", "Verdict", "Confidence"}
HIGH_CONFIDENCE = "high"
DISCORDANT_VERDICT_COLUMN = "Discordant Verdict"
DISCORDANT_SCORE_COLUMN = "Discordance Score"
DISCORDANT_TEXT_COLUMN = "Discordance Text"
def parse_args():
p = argparse.ArgumentP... | /reviewer2-0.9.31.tar.gz/reviewer2-0.9.31/compare_form_response_tables.py | 0.425367 | 0.378459 | compare_form_response_tables.py | pypi |
# Reviser
[](https://pypi.org/project/reviser/)
[](https://gitlab.com/rocket-boosters/reviser/commits/main)
[
<!-- !... | /revizor_fuzzer-1.2.3.tar.gz/revizor_fuzzer-1.2.3/README.md | 0.440951 | 0.901878 | README.md | pypi |
from datetime import datetime
from typing import NoReturn, Dict
from pprint import pformat
from traceback import print_stack
from .interfaces import EquivalenceClass
from .config import CONF
MASK_64BIT = pow(2, 64)
POW2_64 = pow(2, 64)
TWOS_COMPLEMENT_MASK_64 = pow(2, 64) - 1
class StatisticsCls:
_borg_shared_st... | /revizor_fuzzer-1.2.3.tar.gz/revizor_fuzzer-1.2.3/revizor/util.py | 0.620507 | 0.226196 | util.py | pypi |
from typing import List, Dict
from .x86 import x86_config
class ConfigException(SystemExit):
pass
class ConfCls:
config_path: str = ""
# ==============================================================================================
# Fuzzer
fuzzer: str = "basic"
""" fuzzer: type of the fuzzi... | /revizor_fuzzer-1.2.3.tar.gz/revizor_fuzzer-1.2.3/revizor/config.py | 0.812644 | 0.49408 | config.py | pypi |
from __future__ import annotations
import random
import abc
import re
from typing import List, Dict
from subprocess import CalledProcessError, run
from collections import OrderedDict
from .isa_loader import InstructionSet
from .interfaces import Generator, TestCase, Operand, RegisterOperand, FlagsOperand, \
Memor... | /revizor_fuzzer-1.2.3.tar.gz/revizor_fuzzer-1.2.3/revizor/generator.py | 0.735926 | 0.299284 | generator.py | pypi |
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