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 |
|---|---|---|---|---|---|
## Amazon S3 manager
## Author: Michal Ludvig <michal@logix.cz>
## http://www.logix.cz/michal
## License: GPL Version 2
## Copyright: TGRMN Software and contributors
from __future__ import absolute_import, division
import sys
import datetime
import time
import S3.Utils
class Progress(object):
_stdout = ... | /s3cmd-2.3.0.tar.gz/s3cmd-2.3.0/S3/Progress.py | 0.456894 | 0.184988 | Progress.py | pypi |
## Amazon S3 manager
## Author: Michal Ludvig <michal@logix.cz>
## http://www.logix.cz/michal
## License: GPL Version 2
## Copyright: TGRMN Software and contributors
from __future__ import absolute_import
import sys
import hmac
try:
from base64 import encodebytes as encodestring
except ImportError:
#... | /s3cmd-2.3.0.tar.gz/s3cmd-2.3.0/S3/Crypto.py | 0.590543 | 0.160365 | Crypto.py | pypi |
## Amazon S3 - Access Control List representation
## Author: Michal Ludvig <michal@logix.cz>
## http://www.logix.cz/michal
## License: GPL Version 2
## Copyright: TGRMN Software and contributors
from __future__ import absolute_import, print_function
import sys
from . import S3Uri
from .Exceptions import Par... | /s3cmd-2.3.0.tar.gz/s3cmd-2.3.0/S3/AccessLog.py | 0.523177 | 0.154983 | AccessLog.py | pypi |
import json
from urllib.parse import urlparse
from traitlets import Any
from s3contents.genericmanager import GenericContentsManager, from_dict
from s3contents.ipycompat import Bool, Unicode
from s3contents.s3_fs import S3FS
class S3ContentsManager(GenericContentsManager):
access_key_id = Unicode(
help... | /s3content-0.8.1.tar.gz/s3content-0.8.1/s3contents/s3manager.py | 0.574992 | 0.150778 | s3manager.py | pypi |
import base64
import os
import gcsfs
from tornado.web import HTTPError
from s3contents.genericfs import GenericFS, NoSuchFile
from s3contents.ipycompat import Unicode
class GCSFS(GenericFS):
project = Unicode(
help="GCP Project", allow_none=True, default_value=None
).tag(config=True, env="JPYNB_GCS... | /s3content-0.8.1.tar.gz/s3content-0.8.1/s3contents/gcs/gcs_fs.py | 0.499756 | 0.175786 | gcs_fs.py | pypi |
KEY = {
"up": -204,
"down": -206,
"left": -203,
"right": -205,
"shiftUp": 337,
"shiftDown": 336,
"enter": 10,
"space": 32,
"tab": -301,
"shiftTab": -302,
"backspace": -300,
"esc": -1,
"altC": 231,
":": ord(":"),
"?": ord("?"),
}
KEYLIST = {
"move": [
... | /s3dir-1.0.2.tar.gz/s3dir-1.0.2/s3dir_src/lib/keyhandler.py | 0.442155 | 0.208058 | keyhandler.py | pypi |
import errno
from contextlib import contextmanager
@contextmanager
def ignoring(*exceptions):
try:
yield
except exceptions:
pass
class FileExpired(IOError):
"""
Is raised, when the file content has been changed from a different process after
opening the file. Reading the file wou... | /s3fs-py36-backport-0.6.0a1.tar.gz/s3fs-py36-backport-0.6.0a1/s3fs/utils.py | 0.69451 | 0.224501 | utils.py | pypi |
import logging
import requests
from io import BytesIO
from PIL import Image, ExifTags
from boto import s3
from boto.s3.key import Key
log = logging.getLogger(__name__)
class S3ImageResizerException(Exception):
pass
class InvalidParameterException(S3ImageResizerException):
pass
class CantFetchImageExceptio... | /s3imageresizer-0.0.28.tar.gz/s3imageresizer-0.0.28/s3imageresizer.py | 0.506103 | 0.198627 | s3imageresizer.py | pypi |
from contextlib import contextmanager
import re
from tempfile import NamedTemporaryFile
import boto
__all__ = [
'open',
'BucketNotFoundError',
'KeyNotFoundError',
'UrlParseError',
]
S3_URL_REGEX = '(?P<scheme>s3:\/\/)(?P<bucket>[^\/]+)\/(?P<key>.+)'
re_s3_url = re.compile(S3_URL_REGEX)
class UrlP... | /s3io-0.1.1.tar.gz/s3io-0.1.1/s3io.py | 0.605449 | 0.193719 | s3io.py | pypi |
### About
s3kv is a key value database backed by S3 Object Storage. As such it leverages many of the inbuilt capabilities of Object Storage. Especially interesting features are those such as key access policies, legal holds and retention.
It is primarily intended for use cases such as data flow caching, configuration... | /s3kv-0.1.5.tar.gz/s3kv-0.1.5/README.md | 0.463444 | 0.877582 | README.md | pypi |
# s3labeler
s3 - Amazon Simple Storage Service
label - attached to an object and giving information about it
## S3 Object Labeling Tool
[](https://pypi.python.org/pypi/s3labeler/)
[
Python-based spherical cortical surface processing tools, including spherical resampling, interpolation, parcellation, registration, atlas construction, etc. It provides fast and accurate cortical surface-based data analysis using deep learning techniques.
## Install... | /s3pipe-1.2.0.tar.gz/s3pipe-1.2.0/README.md | 0.44746 | 0.918845 | README.md | pypi |
import logging
from fastdtw import fastdtw
import librosa
import numpy as np
import scipy
from scipy.io import wavfile
from s3prl_vc.utils.signal import world_extract, extfrm
def calculate_mcd_f0(x, y, fs, f0min, f0max):
"""
x and y must be in range [-1, 1]
"""
# extract ground truth and converted f... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/evaluate/dtw_based.py | 0.406862 | 0.247996 | dtw_based.py | pypi |
import editdistance as ed
import jiwer
import torch
from transformers import Wav2Vec2ForCTC, Wav2Vec2Tokenizer
ASR_PRETRAINED_MODEL = "facebook/wav2vec2-large-960h-lv60-self"
def load_asr_model(device):
"""Load model"""
print(f"[INFO]: Load the pre-trained ASR by {ASR_PRETRAINED_MODEL}.")
model = Wav2Vec... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/evaluate/asr.py | 0.779154 | 0.344678 | asr.py | pypi |
# Copyright 2019 Tomoki Hayashi
# MIT License (https://opensource.org/licenses/MIT)
"""Decode directly from upstream features with trained model."""
import argparse
import logging
import os
import time
import numpy as np
import soundfile as sf
import torch
import yaml
from tqdm import tqdm
from s3prl.nn import F... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/bin/decode_downstream.py | 0.72526 | 0.175326 | decode_downstream.py | pypi |
import argparse
import logging
import os
from pathlib import Path
from joblib import Parallel, delayed
import librosa
import matplotlib
import numpy as np
from s3prl_vc.utils.signal import world_extract
from s3prl_vc.utils import find_files
matplotlib.use("Agg") # noqa #isort:skip
import matplotlib.pyplot as plt ... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/bin/create_histogram.py | 0.707405 | 0.337859 | create_histogram.py | pypi |
# Copyright 2019 Tomoki Hayashi
# MIT License (https://opensource.org/licenses/MIT)
"""Calculate statistics of feature files."""
import argparse
import logging
import os
import numpy as np
import yaml
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from tqdm import tqdm
from s3prl_vc.utils import ... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/bin/compute_statistics.py | 0.746971 | 0.164047 | compute_statistics.py | pypi |
import torch
def make_pad_mask(lengths, xs=None, length_dim=-1, maxlen=None):
"""Make mask tensor containing indices of padded part.
Args:
lengths (LongTensor or List): Batch of lengths (B,).
xs (Tensor, optional): The reference tensor.
If set, masks will be the same shape as this... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/layers/utils.py | 0.898689 | 0.784629 | utils.py | pypi |
import numpy as np
import pysptk
import pyworld as pw
from scipy.signal import firwin
from scipy.signal import lfilter
MCEP_DIM = 39
MCEP_ALPHA = 0.466
MCEP_SHIFT = 5
MCEP_FFTL = 1024
def low_cut_filter(x, fs, cutoff=70):
"""FUNCTION TO APPLY LOW CUT FILTER
Args:
x (ndarray): Waveform sequence
... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/utils/signal.py | 0.876872 | 0.59884 | signal.py | pypi |
from typing import Tuple
import torch
from s3prl_vc.upstream.ppg_sxliu.nets_utils import make_pad_mask
class UtteranceMVN(torch.nn.Module):
def __init__(
self, norm_means: bool = True, norm_vars: bool = False, eps: float = 1.0e-20,
):
super().__init__()
self.norm_means = norm_means
... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/utterance_mvn.py | 0.946794 | 0.547464 | utterance_mvn.py | pypi |
import librosa
import numpy as np
import torch
from typing import Tuple
from s3prl_vc.upstream.ppg_sxliu.nets_utils import make_pad_mask
class LogMel(torch.nn.Module):
"""Convert STFT to fbank feats
The arguments is same as librosa.filters.mel
Args:
fs: number > 0 [scalar] sampling rate of the ... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/log_mel.py | 0.94323 | 0.615203 | log_mel.py | pypi |
import logging
from typing import Dict
import numpy as np
import torch
def to_device(m, x):
"""Send tensor into the device of the module.
Args:
m (torch.nn.Module): Torch module.
x (Tensor): Torch tensor.
Returns:
Tensor: Torch tensor located in the same place as torch module.
... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/nets_utils.py | 0.936489 | 0.780119 | nets_utils.py | pypi |
import logging
import six
import numpy as np
import torch
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence
from torch.nn.utils.rnn import pad_packed_sequence
from .e2e_asr_common import get_vgg2l_odim
from .nets_utils import make_pad_mask, to_device
class RNNP(torch.nn.Module):
... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/encoders.py | 0.902528 | 0.467028 | encoders.py | pypi |
import copy
from typing import Optional
from typing import Tuple
from typing import Union
import numpy as np
import torch
from torch_complex.tensor import ComplexTensor
from s3prl_vc.upstream.ppg_sxliu.log_mel import LogMel
from s3prl_vc.upstream.ppg_sxliu.stft import Stft
class DefaultFrontend(torch.nn.Module):
... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/frontend.py | 0.87312 | 0.298351 | frontend.py | pypi |
# Copyright 2017 Johns Hopkins University (Shinji Watanabe)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Common functions for ASR."""
import argparse
import editdistance
import json
import logging
import numpy as np
import six
import sys
from itertools import groupby
def end_detect(ended_hyps, i... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/e2e_asr_common.py | 0.624752 | 0.417628 | e2e_asr_common.py | pypi |
# Copyright 2020 Johns Hopkins University (Shinji Watanabe)
# Northwestern Polytechnical University (Pengcheng Guo)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""ConvolutionModule definition."""
from torch import nn
class ConvolutionModule(nn.Module):
"""ConvolutionModule in Con... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/encoder/convolution.py | 0.96944 | 0.536009 | convolution.py | pypi |
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Subsampling layer definition."""
import logging
import torch
from .embedding import PositionalEncoding
class Conv2dSubsampling(torch.nn.Module):
"""Convolutional 2D subsampling (to 1/4 length or 1/2 length).
:pa... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/encoder/subsampling.py | 0.967387 | 0.618593 | subsampling.py | pypi |
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder definition."""
import logging
import torch
from espnet.nets.pytorch_backend.conformer.convolution import ConvolutionModule
from espnet.nets.pytorch_backend.conformer.encoder_layer import EncoderLayer
from espnet.n... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/encoder/encoder.py | 0.959705 | 0.428652 | encoder.py | pypi |
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Positonal Encoding Module."""
import math
import torch
def _pre_hook(
state_dict,
prefix,
local_metadata,
strict,
missing_keys,
unexpected_keys,
error_msgs,
):
"""Perform pre-hook in load... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/encoder/embedding.py | 0.96569 | 0.422564 | embedding.py | pypi |
# Copyright 2019 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Layer modules for FFT block in FastSpeech (Feed-forward Transformer)."""
import torch
class MultiLayeredConv1d(torch.nn.Module):
"""Multi-layered conv1d for Transformer block.
This is a module of multi-leyered c... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/encoder/multi_layer_conv.py | 0.968096 | 0.636268 | multi_layer_conv.py | pypi |
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Multi-Head Attention layer definition."""
import math
import numpy
import torch
from torch import nn
class MultiHeadedAttention(nn.Module):
"""Multi-Head Attention layer.
:param int n_head: the number of head s... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/encoder/attention.py | 0.966898 | 0.658445 | attention.py | pypi |
import torch
class VGG2L(torch.nn.Module):
"""VGG2L module for transformer-transducer encoder."""
def __init__(self, idim, odim):
"""Construct a VGG2L object.
Args:
idim (int): dimension of inputs
odim (int): dimension of outputs
"""
super(VGG2L, sel... | /s3prl_vc-0.2.0.tar.gz/s3prl_vc-0.2.0/s3prl_vc/upstream/ppg_sxliu/encoder/vgg.py | 0.965053 | 0.636014 | vgg.py | pypi |
<p align="center">
<img src="https://raw.githubusercontent.com/s3prl/s3prl/main/file/S3PRL-logo.png" width="900"/>
<br>
<br>
<a href="./LICENSE.txt"><img alt="Apache License 2.0" src="https://raw.githubusercontent.com/s3prl/s3prl/main/file/license.svg" /></a>
<a href="https://creativecommons.org/lic... | /s3prl-0.4.10.tar.gz/s3prl-0.4.10/README.md | 0.853333 | 0.784526 | README.md | pypi |
# [s3recon](https://s3recon.readthedocs.io/en/latest/)
[](https://pypi.org/project/s3recon/)
[](https://pypi.org/project/s3recon/)
[](https://pepy.t... | /s3recon-1.4.0.tar.gz/s3recon-1.4.0/README.md | 0.630685 | 0.941761 | README.md | pypi |
import os
import sys
import argparse
from boto.s3.connection import S3Connection
from boto.exception import S3ResponseError
def set_public_redirect(key, redirect_location):
"""Configure this key to redirect to another location.
When the bucket associated with this key is accessed from the website
endpoin... | /s3redirect-0.1.2.zip/s3redirect-0.1.2/s3redirect.py | 0.4436 | 0.178992 | s3redirect.py | pypi |
<span><img src="https://img.shields.io/github/workflow/status/gabriel-oana/s3select_plus/Tests">
<img src="https://img.shields.io/github/languages/top/gabriel-oana/s3select_plus">
<img src="https://img.shields.io/pypi/pyversions/s3select-plus">
<img src="https://img.shields.io/pypi/v/s3select-plus">
<img src="https://i... | /s3select_plus-1.0.3.tar.gz/s3select_plus-1.0.3/README.md | 0.693265 | 0.90813 | README.md | pypi |
from typing import Optional, Union
from select_plus.src.engine.base_engine import BaseEngine
from select_plus.src.utils.cost import Cost
from select_plus.src.models.models import EngineResults, EngineResultsStats, InputSerialization, OutputSerialization
class EngineWrapper:
def execute(
self,
... | /s3select_plus-1.0.3.tar.gz/s3select_plus-1.0.3/select_plus/src/engine/engine.py | 0.91501 | 0.214177 | engine.py | pypi |
from abc import ABC, abstractmethod
from typing import Optional, Union
import boto3
from select_plus.src.aws.s3 import S3
from select_plus.src.models.models import InputSerialization, OutputSerialization
class BaseEngine(ABC):
def __init__(self, bucket_name: str, prefix: str, threads: int, verbose: bool):
... | /s3select_plus-1.0.3.tar.gz/s3select_plus-1.0.3/select_plus/src/engine/base_engine.py | 0.900308 | 0.160398 | base_engine.py | pypi |
from typing import Optional, Union
from dataclasses import dataclass
@dataclass
class EngineResultsStats:
cost: float
files_processed: int
bytes_scanned: int
bytes_returned: int
bytes_processed: int
@dataclass
class EngineResults:
payload: list
stats: EngineResultsStats
@property
... | /s3select_plus-1.0.3.tar.gz/s3select_plus-1.0.3/select_plus/src/models/models.py | 0.875421 | 0.235207 | models.py | pypi |
## S3 select
Example query run on 10GB of GZIP compressed JSON data (>60GB uncompressed)
### Motivation
[Amazon S3 select](https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-select.html) ... | /s3select-0.0.14.tar.gz/s3select-0.0.14/README.md | 0.797793 | 0.689489 | README.md | pypi |
from botocore.client import BaseClient
def multipart_upload_to_s3(local_file_path: str, s3: BaseClient, bucket_name: str, s3_prefix: str):
"""
Uploads a local file to S3 using multipart upload.
Args:
local_file_path (str): The path to the local file to be uploaded.
s3 (BaseClient): An inst... | /s3sync_util-2.3.2-py3-none-any.whl/s3sync_util/commands/multipart.py | 0.782663 | 0.156201 | multipart.py | pypi |
import os
import boto3
from botocore.exceptions import BotoCoreError, NoCredentialsError
def get_total_upload_size(directory:str, exclude_list:list) -> int:
"""Calculate the total size of files in a directory for upload, excluding specified files.
Args:
directory (str): The directory to calculate the ... | /s3sync_util-2.3.2-py3-none-any.whl/s3sync_util/commands/size.py | 0.668772 | 0.237598 | size.py | pypi |
# S3Synchrony
_Created by Sevan Brodjian for Ameren at the Innovation Center @ UIUC_
This package provides a service for synchronizing file creations, deletions, and modifications across users on an AWS S3 prefix. Support also exists for easily expanding to other database systems.
## Installation
Use the package ma... | /s3synchrony-0.1.2.tar.gz/s3synchrony-0.1.2/README.md | 0.603348 | 0.803251 | README.md | pypi |
from s3transfer.tasks import Task
from s3transfer.tasks import SubmissionTask
class DeleteSubmissionTask(SubmissionTask):
"""Task for submitting tasks to execute an object deletion."""
def _submit(self, client, request_executor, transfer_future, **kwargs):
"""
:param client: The client associ... | /s3transfer-meiqia-0.1.10.tar.gz/s3transfer-meiqia-0.1.10/s3transfer/delete.py | 0.76074 | 0.207175 | delete.py | pypi |
from botocore.compat import six
from s3transfer.compat import accepts_kwargs
from s3transfer.exceptions import InvalidSubscriberMethodError
class BaseSubscriber(object):
"""The base subscriber class
It is recommended that all subscriber implementations subclass and then
override the subscription methods... | /s3transfer-meiqia-0.1.10.tar.gz/s3transfer-meiqia-0.1.10/s3transfer/subscribers.py | 0.798226 | 0.19475 | subscribers.py | pypi |
# s3tup
Python package that offers configuration management and deployment for Amazon S3 through simple declarative yaml files.
## Why?
Because writing custom scripts for configuring and deploying to S3 through boto was a major pain. Though tools like s3sync exist, they lack robust options for configuration and you ... | /s3tup-0.1.0.tar.gz/s3tup-0.1.0/README.md | 0.461017 | 0.718792 | README.md | pypi |
import sys
import time
import threading
import contextlib
import Queue
from multiprocessing import pool
try:
import cStringIO
StringIO = cStringIO
except ImportError:
import StringIO
def data_collector(iterable, def_buf_size=5242880):
''' Buffers n bytes of data
Args:
iterable: co... | /s3upload-0.2.4.tar.gz/s3upload-0.2.4/s3upload.py | 0.402744 | 0.208682 | s3upload.py | pypi |
import logging
import sys
import boto3
import argparse
import pathlib
import os
import dotenv
import fnmatch
# Define the logger
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
def separate_arguments(string : str) -> list[str] :
"""
Converts a comma-separated string... | /s3uploader_ci_cd-1.0.4-py3-none-any.whl/s3uploader/s3uploader.py | 0.658637 | 0.193623 | s3uploader.py | pypi |
import re
from urllib.parse import urlparse
def style(url):
""" Determine 'style' of a given S3 url
>>> style("s3://my-bucket/my-key/")
's3'
>>> style("s3://user@my-bucket/my-key/")
's3-credential'
>>> style("https://my-bucket.s3.amazonaws.com/my-key/")
'bucket-in-netloc'
>>> style... | /s3urls-0.0.3.tar.gz/s3urls-0.0.3/s3urls.py | 0.689096 | 0.194884 | s3urls.py | pypi |
from typing import Any, Callable, Dict, Optional, Tuple, Union
from loguru import logger
from Xlib import X
from Xlib.display import Display
from Xlib.protocol.event import KeyPress
from s3wm_core.key_combination import KeyCombination
keycode_mapping: Dict[Tuple[int, int], KeyCombination] = {}
def kill_wm(wm: Any)... | /s3wm-0.2.3.tar.gz/s3wm-0.2.3/s3wm_core/keymap.py | 0.846546 | 0.172904 | keymap.py | pypi |
from typing import Any, Optional
from loguru import logger
from Xlib.error import XError
from Xlib.X import BadWindow, CurrentTime, RevertToParent
from Xlib.xobject.drawable import Window
from s3wm_core.s3screen import S3screen
from s3wm_core.utils import get_window_geometry
from s3wm_core.x_models import WindowGeome... | /s3wm-0.2.3.tar.gz/s3wm-0.2.3/s3wm_core/s3window.py | 0.93556 | 0.151875 | s3window.py | pypi |
import re
import subprocess
from typing import Optional, Tuple
from loguru import logger
from Xlib.protocol.display import Screen
from Xlib.xobject.drawable import Window
from s3wm_core.x_models import WindowGeometry
def get_window_class(window: Window) -> str:
"""
Get window wm_class.
Fetch the WM_CLA... | /s3wm-0.2.3.tar.gz/s3wm-0.2.3/s3wm_core/utils.py | 0.87938 | 0.269434 | utils.py | pypi |
import datetime
import s4.clarity.utils
import six
NUMERIC = "Numeric"
STRING = "String"
TEXT = "Text"
URI = "URI"
DATE = "Date"
DATETIME = "Datetime"
BOOLEAN = "Boolean"
ALL_TYPES = [NUMERIC, STRING, TEXT, URI, DATE, DATETIME, BOOLEAN]
def clarity_string_to_obj(typename, string):
"""
Convert field value ... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/types.py | 0.57678 | 0.198142 | types.py | pypi |
from collections import defaultdict
from ._internal import ClarityElement
class IOMapsMixin(ClarityElement):
"""
Parse the StepDetails or Process object,
https://www.genologics.com/files/permanent/API/latest/rest.version.steps.limsid.details.html#GET
https://www.genologics.com/files/permanent/API/lat... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/iomaps.py | 0.850189 | 0.362885 | iomaps.py | pypi |
from ._internal import WrappedXml, ClarityElement, FieldsMixin
from s4.clarity._internal.props import subnode_link, subnode_property, subnode_element
from s4.clarity import types, lazy_property
class ContainerDimension(WrappedXml):
is_alpha = subnode_property("is-alpha", types.BOOLEAN)
offset = subnode_prope... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/container.py | 0.841598 | 0.456046 | container.py | pypi |
import logging
from ._internal import FieldsMixin, ClarityElement
from ._internal.props import subnode_property, subnode_link
from s4.clarity.project import Project
from s4.clarity.artifact import Artifact
from s4.clarity import ETree
from s4.clarity import types
log = logging.getLogger(__name__)
class Sample(Fiel... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/sample.py | 0.755547 | 0.156943 | sample.py | pypi |
import logging
from collections import defaultdict
from s4.clarity import ETree
log = logging.getLogger(__name__)
ACTION_ASSIGN = "assign"
ACTION_UNASSIGN = "unassign"
class Router(object):
"""
Class allowing routing of multiple artifacts to a given workflow or stage
"""
def __init__(self, lims):
... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/routing.py | 0.839339 | 0.286045 | routing.py | pypi |
import logging
log = logging.getLogger(__name__)
ROW_ORDER = "row"
COLUMN_ORDER = "column"
def column_order_sort_keys(artifact):
"""
Provide container position sort-keys for the sorted function based on column-major order
Usage example::
sorted_outputs = sorted(self.outputs, key=row_order_sort... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/steputils/placement_utils.py | 0.821832 | 0.356783 | placement_utils.py | pypi |
import logging
log = logging.getLogger(__name__)
def copy_from_input_to_output(step, udf_names):
"""
Copies a set of UDFs from the inputs of a step to its outputs.
- Supply a list of UDFs if the source and destination names are the same.
- Supply a dictionary (source name to destination name) if the... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/steputils/copyudfs.py | 0.7586 | 0.547827 | copyudfs.py | pypi |
from __future__ import print_function
import logging
from collections import defaultdict
log = logging.getLogger(__name__)
def set_next_actions(epp, default_action=None, controls_action=None, failed_qc_action=None, action_func=None):
"""
:type epp: s4.clarity.scripts.StepEPP
:type action_func: (s4.clarit... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/steputils/actions.py | 0.748812 | 0.192786 | actions.py | pypi |
import abc
import s4.clarity
from .genericscript import GenericScript
class DerivedSampleAutomation(GenericScript):
"""
A script run from the Project Dashboard screen.
:ivar LIMS lims: The Clarity object to perform operations against.
:ivar list[Artifact] artifacts: The list of Artifacts that the s... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/scripts/derived_sample_automation.py | 0.795261 | 0.294171 | derived_sample_automation.py | pypi |
from .stepepp import StepEPP
import logging
import re
log = logging.getLogger(__name__)
class TriggeredStepEPP(StepEPP):
""" TriggeredStepEPP acts as an EPP with multiple entry points, to allow the developer to group all scripts
associated with a step together in a single file. A script implementing this cla... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/scripts/triggered_step_epp.py | 0.647018 | 0.317506 | triggered_step_epp.py | pypi |
from collections import defaultdict
def get_parent_artifacts(lims, artifacts):
"""
Helper method to get the parent artifacts keyed to the supplied artifacts
:param LIMS lims:
:param list[Artifact] artifacts: The artifacts to get parent artifacts for
:rtype: dict[Artifact, list[Artifact]]
"""... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/utils/artifact_ancestry.py | 0.897316 | 0.425665 | artifact_ancestry.py | pypi |
from s4.clarity import ETree
import logging
import inspect
from six import string_types
from abc import ABCMeta, abstractmethod
try:
from collections.abc import MutableSequence, MutableMapping
except ImportError:
from collections import MutableSequence, MutableMapping
from s4.clarity import types
log = loggi... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/_internal/props.py | 0.842701 | 0.188679 | props.py | pypi |
from typing import List, Iterable, Tuple
from six.moves.urllib.parse import urlencode
from s4.clarity import ClarityException
from s4.clarity import ETree
import re
from .element import ClarityElement
class NoMatchingElement(ClarityException):
pass
class MultipleMatchingElements(ClarityException):
pass
c... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/_internal/factory.py | 0.880579 | 0.236759 | factory.py | pypi |
import collections
from six import string_types
from . import ClarityElement
from s4.clarity import ETree, types
from .lazy_property import lazy_property
from s4.clarity.types import obj_to_clarity_string, clarity_string_to_obj
try:
from collections.abc import MutableMapping
except ImportError:
from collection... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/_internal/fields.py | 0.791902 | 0.202246 | fields.py | pypi |
from s4.clarity import ETree
from s4.clarity._internal import ClarityElement
from s4.clarity._internal.props import subnode_property, attribute_property
from s4.clarity import types
class Udf(ClarityElement):
UNIVERSAL_TAG = "{http://genologics.com/ri/configuration}udfconfig"
CREATION_TAG = "{http://genologic... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/configuration/udf.py | 0.761538 | 0.227459 | udf.py | pypi |
import logging
from s4.clarity._internal.element import ClarityElement, WrappedXml
from s4.clarity.reagent_kit import ReagentKit
from s4.clarity.control_type import ControlType
from s4.clarity._internal.props import subnode_property_list_of_dicts, subnode_property, subnode_property_literal_dict, attribute_property, s... | /s4-clarity-1.5.0.tar.gz/s4-clarity-1.5.0/s4/clarity/configuration/protocol.py | 0.582966 | 0.173148 | protocol.py | pypi |
__all__ = ["get_telecope_years", "load_atmosphere"]
# Cell
import healpy as hp
import numpy as np
from pathlib import Path
import logging as log
from .core import (
get_telescope,
get_observing_efficiency,
base_folder,
simulations_observing_efficiency,
mapmaking_naming,
read_instrument_model... | /s4_design_sim_tool-1.1.2-py3-none-any.whl/s4_design_sim_tool/atmosphere.py | 0.840423 | 0.286419 | atmosphere.py | pypi |
__all__ = [
"thinfp_string",
"thinfp_table",
"get_thinfp",
"get_tube_years",
"load_noise",
]
# Cell
import healpy as hp
import numpy as np
from pathlib import Path
import logging as log
from .core import (
get_telescope,
get_observing_efficiency,
base_folder,
simulations_observin... | /s4_design_sim_tool-1.1.2-py3-none-any.whl/s4_design_sim_tool/noise.py | 0.807347 | 0.303903 | noise.py | pypi |
__all__ = [
"simulations_sampling_frequency_scaling",
"load_hitmap_wcov",
"hitmaps_naming",
"wcov_naming",
]
# Cell
import healpy as hp
import numpy as np
from pathlib import Path
import logging as log
from .core import (
get_telescope,
get_observing_efficiency,
base_folder,
simulati... | /s4_design_sim_tool-1.1.2-py3-none-any.whl/s4_design_sim_tool/hitmap_wcov.py | 0.892492 | 0.492798 | hitmap_wcov.py | pypi |
__all__ = [
"base_folder",
"simulations_observing_efficiency",
"mapmaking_naming",
"simulated_tubes",
"read_instrument_model",
"get_telescope",
"get_observing_efficiency",
]
# Cell
import os
base_folder = os.environ.get(
"S4REFSIMTOOL_INPUT",
"/global/cscratch1/sd/keskital/s4sim/... | /s4_design_sim_tool-1.1.2-py3-none-any.whl/s4_design_sim_tool/core.py | 0.708818 | 0.332121 | core.py | pypi |
__all__ = ["emission_naming", "load_sky_emission"]
# Cell
import healpy as hp
import numpy as np
from pathlib import Path
import logging as log
from .core import get_telescope, base_folder, mapmaking_naming, read_instrument_model
# Cell
emission_naming = dict(
foreground_emission="combined_foregrounds",
... | /s4_design_sim_tool-1.1.2-py3-none-any.whl/s4_design_sim_tool/foregrounds.py | 0.85744 | 0.355831 | foregrounds.py | pypi |
__all__ = [
"md5sum_string",
"md5sum_file",
"parse_channels",
"s4_channels",
"merge_dict",
"parse_config",
"S4RefSimTool",
"command_line_script",
]
# Cell
import os
import toml
import healpy as hp
import numpy as np
import h5py
from pathlib import Path
import logging as log
from datet... | /s4_design_sim_tool-1.1.2-py3-none-any.whl/s4_design_sim_tool/cli.py | 0.792103 | 0.326822 | cli.py | pypi |
try:
from cStringIO import StringIO as BytesIO
except ImportError: # pragma: no cover
# Python 3
from io import BytesIO
import PIL.Image
import PIL.ImageChops
import PIL.ImageFile
# Set a larger buffer size. This fixes problems with jpeg decoding.
# See http://mail.python.org/pipermail/image-sig/1999-Augu... | /s4u.image-2.4.0.tar.gz/s4u.image-2.4.0/src/s4u/image/scale.py | 0.918966 | 0.565719 | scale.py | pypi |
try:
from cStringIO import StringIO as BytesIO
except ImportError: # pragma: no cover
# Python 3
from io import BytesIO
import errno
import io
import os
import uuid
import requests
from sqlalchemy import schema
from sqlalchemy import types
from sqlalchemy.orm.session import object_session
from repoze.files... | /s4u.image-2.4.0.tar.gz/s4u.image-2.4.0/src/s4u/image/model.py | 0.712432 | 0.240953 | model.py | pypi |
import os
from s4u.image.model import Image
from s4u.image.model import ImageScale
def configure(original_path, scale_path):
"""Configure the filesystem paths used to store image files.
:param original_path: filesystem path used for full size images.
:param scale_path: filesystem path used for scaled ima... | /s4u.image-2.4.0.tar.gz/s4u.image-2.4.0/src/s4u/image/__init__.py | 0.549641 | 0.237609 | __init__.py | pypi |
from sqlalchemy.sql import expression
from sqlalchemy.ext.compiler import compiles
from sqlalchemy.types import Numeric
class greatest(expression.FunctionElement):
"""SQL function to return the largest number of a series.
.. code-block:: python
>>> session = meta.Session()
>>> session.query(gr... | /s4u.sqlalchemy-4.0.tar.gz/s4u.sqlalchemy-4.0/src/s4u/sqlalchemy/func.py | 0.814385 | 0.695771 | func.py | pypi |
from .gui.helpers import send_all
from .gui.helpers import close
from .gui.neighborhood_list import get_earfcn_values
from .gui.scripts import get_ip_script_output
import pathlib
import subprocess
import logging
import dearpygui.dearpygui as dpg
def main():
""" Creation of main function that is ran when program ... | /s60z-0.2.5.tar.gz/s60z-0.2.5/src/main.py | 0.522202 | 0.193014 | main.py | pypi |
## sAsync
*SQLAlchemy made asynchronous.*
* [API Docs](http://edsuom.com/sAsync/sasync.html)
* [PyPI Page](https://pypi.org/project/sAsync/)
* [Project Page](http://edsuom.com/sAsync.html) at **edsuom.com**
* *See also* [AsynQueue](http://edsuom.com/AsynQueue.html)
**sAsync** lets you use the use the database transac... | /sAsync-0.9.3.tar.gz/sAsync-0.9.3/README.md | 0.552057 | 0.775435 | README.md | pypi |
# Imports
from twisted.internet import defer
import sqlalchemy as SA
from sasync.database import transact, AccessBroker
NICENESS_WRITE = 6
class Missing:
"""
An instance of me is returned as the value of a missing item.
"""
def __init__(self, group, name):
self.group, self.name = group, nam... | /sAsync-0.9.3.tar.gz/sAsync-0.9.3/sasync/items.py | 0.715623 | 0.247692 | items.py | pypi |
# Imports
from twisted.internet import defer, reactor
import sqlalchemy as SA
from asynqueue import DeferredTracker
from sasync.database import transact, AccessBroker
NICENESS_WRITE = 6
class Transactor(AccessBroker):
"""
I do the hands-on work of (potentially) non-blocking database access for
the per... | /sAsync-0.9.3.tar.gz/sAsync-0.9.3/sasync/parray.py | 0.710427 | 0.362913 | parray.py | pypi |
import logging
from twisted.internet import defer
import sqlalchemy as SA
from sqlalchemy import pool
import asynqueue
class Factory(object):
"""
I generate C{asynqueue.ThreadQueue} objects, a unique one for each
call to me with a unique url-kw combination.
"""
globalQueue = None
def _... | /sAsync-0.9.3.tar.gz/sAsync-0.9.3/sasync/queue.py | 0.655667 | 0.182062 | queue.py | pypi |
def engine(url, **kw):
"""
Specifies the parameters for creating an SQLAlchemy database
engine that will be used as a default for all instances of
L{AccessBroker} and all persistent objects based thereon.
@see: U{http://docs.sqlalchemy.org/en/rel_1_0/core/engines.html}.
@param url: An RFC-1738... | /sAsync-0.9.3.tar.gz/sAsync-0.9.3/sasync/__init__.py | 0.816406 | 0.531635 | __init__.py | pypi |
from twisted.internet import defer
import sqlalchemy as SA
class SelectAndResultHolder(object):
"""
I am yielded by L{database.AccessBroker.selectorator} to let you
work on (1) a C{select} of the provided columns or (2) an object
produced by a callable and any args for it, then call me for its
re... | /sAsync-0.9.3.tar.gz/sAsync-0.9.3/sasync/selex.py | 0.619356 | 0.250655 | selex.py | pypi |
import math
import json
import os
from sPyBlocks.constant_spike_source import ConstantSpikeSource
from sPyBlocks.neural_decoder import NeuralDecoder
from sPyBlocks.neural_encoder import NeuralEncoder
"""
Memory with forgetting (DG-CA3-CA1 one-hot memory)
+ Population:
+ Input: memory input
+ DG: one-hot cod... | /hippocampus_with_forgetting/hippocampus_with_forgetting.py | 0.614047 | 0.582135 | hippocampus_with_forgetting.py | pypi |
from contextlib import contextmanager
try:
# this fails in <=2020 versions of Python on OS X 11.x
import OpenGL.GL # noqa: F401 # pylint: disable=unused-import
except ImportError:
# Hack for macOS Big Sur
from ._bigsurhack import patch_ctypes
patch_ctypes()
import OpenGL.GL as GL
# pylint: disabl... | /sPyNNaker_visualisers-1!7.0.0a4-py3-none-any.whl/spynnaker_visualisers/opengl_support.py | 0.811377 | 0.450359 | opengl_support.py | pypi |
from datetime import datetime
import os
import traceback
import OpenGL.error
from spinn_utilities.abstract_base import AbstractBase, abstractmethod
from spynnaker_visualisers.opengl_support import (
viewport, save_matrix, enable, blend, line_smooth, disable, line_width,
blend_function, src_alpha, one_minus_src... | /sPyNNaker_visualisers-1!7.0.0a4-py3-none-any.whl/spynnaker_visualisers/glut_framework.py | 0.812607 | 0.273791 | glut_framework.py | pypi |
# encoding: utf-8
""" A live plotter for the sPyNNaker Sudoku network.
"""
from argparse import ArgumentParser, REMAINDER
import sys
from threading import Condition, RLock
from spinn_utilities.overrides import overrides
from spinn_front_end_common.utilities.connections import LiveEventConnection
from spynnaker_visuali... | /sPyNNaker_visualisers-1!7.0.0a4-py3-none-any.whl/spynnaker_visualisers/sudoku/sudoku_visualiser.py | 0.516108 | 0.233717 | sudoku_visualiser.py | pypi |
import socket
import struct
import sys
import threading
from numpy import dot, cross, array, zeros, cos, sin, uint8, uint32
from numpy.linalg import norm
import spynnaker_visualisers.opengl_support as gl
import spynnaker_visualisers.glut_framework as glut
class RaytraceDrawer(glut.GlutFramework):
__slots__ = (
... | /sPyNNaker_visualisers-1!7.0.0a4-py3-none-any.whl/spynnaker_visualisers/raytrace/drawer.py | 0.502686 | 0.170404 | drawer.py | pypi |
from pacman.model.constraints.partitioner_constraints.\
partitioner_same_size_as_vertex_constraint \
import PartitionerSameSizeAsVertexConstraint
from pacman.model.partitionable_graph.multi_cast_partitionable_edge \
import MultiCastPartitionableEdge
from spynnaker.pyNN.models.neural_projections.synapse_inf... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/pynn_projection.py | 0.85984 | 0.268905 | pynn_projection.py | pypi |
from pacman.model.partitionable_graph.multi_cast_partitionable_edge\
import MultiCastPartitionableEdge
from pacman.utilities.utility_objs.timer import Timer
from spinn_machine.utilities.progress_bar import ProgressBar
from spynnaker.pyNN.utilities import conf
from spynnaker.pyNN.models.neural_projections.projecti... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/projection_partitionable_edge.py | 0.777131 | 0.212252 | projection_partitionable_edge.py | pypi |
from pyNN.random import RandomDistribution
from spynnaker.pyNN.utilities import utility_calls
from spinn_front_end_common.interface.provenance\
.abstract_provides_local_provenance_data \
import AbstractProvidesLocalProvenanceData
from spynnaker.pyNN.models.abstract_models.abstract_weight_updatable \
import ... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/projection_partitioned_edge.py | 0.77675 | 0.258935 | projection_partitioned_edge.py | pypi |
from spynnaker.pyNN.utilities import utility_calls
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
import numpy.random
class MultapseConnector(AbstractConnector):
"""
Create a multapse connector. The size of the source and destination
populations... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/connectors/multapse_connector.py | 0.894362 | 0.485844 | multapse_connector.py | pypi |
from spynnaker.pyNN.utilities import utility_calls
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
from spinn_front_end_common.utilities import exceptions
import math
import numpy
class FixedProbabilityConnector(AbstractConnector):
"""
For each pair o... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/connectors/fixed_probability_connector.py | 0.917227 | 0.42931 | fixed_probability_connector.py | pypi |
from pyNN.random import RandomDistribution
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
import numpy
import logging
logger = logging.getLogger(__file__)
class FixedNumberPostConnector(AbstractConnector):
def __init__(
self, n, weights=0.... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/connectors/fixed_number_post_connector.py | 0.808143 | 0.174059 | fixed_number_post_connector.py | pypi |
from pyNN.space import Space
from spynnaker.pyNN.utilities import utility_calls
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
import logging
import numpy
import math
# support for arbitrary expression for the distance dependence
# NOTE: Do NOT delete these... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/connectors/distance_dependent_probability_connector.py | 0.862525 | 0.369031 | distance_dependent_probability_connector.py | pypi |
import numpy
from pyNN.random import RandomDistribution
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
class OneToOneConnector(AbstractConnector):
"""
Where the pre- and postsynaptic populations have the same size, connect
cell i in the presynapt... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/connectors/one_to_one_connector.py | 0.793786 | 0.500427 | one_to_one_connector.py | pypi |
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
import numpy
import logging
logger = logging.getLogger(__file__)
class AllToAllConnector(AbstractConnector):
""" Connects all cells in the presynaptic population to all cells in \
the postsynaptic ... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/connectors/all_to_all_connector.py | 0.872538 | 0.360461 | all_to_all_connector.py | pypi |
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
import numpy
class SmallWorldConnector(AbstractConnector):
def __init__(
self, degree, rewiring, allow_self_connections=True, weights=0.0,
delays=1, space=None, safe=True, verbose=F... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/connectors/small_world_connector.py | 0.627723 | 0.255779 | small_world_connector.py | pypi |
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