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 |
|---|---|---|---|---|---|
This tool provides some scripts to import *Nmap* and *Nessus* scan results into a sqlite database.
The imported results can then be analyzed by various tool to generate target list for other tools, generate csv files and DOCX reports (
based on DOCX templates). The following console commands are available after install... | /scandb-1.0.0.tar.gz/scandb-1.0.0/README.md | 0.590779 | 0.856752 | README.md | pypi |
<div align='center'>
<img src="https://raw.githubusercontent.com/saattrupdan/ScandEval/main/gfx/scandeval.png" width="517" height="217">
</div>
### Evaluation of pretrained language models on mono- or multilingual Scandinavian language tasks.
______________________________________________________________________
[![P... | /ScandEval-7.1.0.tar.gz/ScandEval-7.1.0/README.md | 0.616128 | 0.981841 | README.md | pypi |
import json
import logging
import re
from pathlib import Path
from typing import List, Union
import pandas as pd
# Set up logging
logger = logging.getLogger(__name__)
def postprocess(path: Union[str, Path], suffix: str = "-postprocessed") -> None:
"""Post-process the built corpus.
Args:
path (str ... | /scandi_reddit-0.2.1-py3-none-any.whl/scandi_reddit/postprocess.py | 0.854293 | 0.34183 | postprocess.py | pypi |
import json
import logging
import subprocess
from multiprocessing import cpu_count
from pathlib import Path
from typing import Any, Dict, Generator, List, Optional
import pandas as pd
import zstandard
from datasets.arrow_dataset import Dataset
from joblib import Parallel, delayed
from nlp_dedup import Deduper
from tq... | /scandi_reddit-0.2.1-py3-none-any.whl/scandi_reddit/build.py | 0.793266 | 0.252741 | build.py | pypi |
<p align="center">
<img src="https://github.com/rederoth/ScanDy/blob/main/docs/scandy_repo_card.png">
</p>
<p align="center">
<a href="https://github.com/psf/black">
<img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>
<a href="https://doi.org/10.1101/2023.03.14.53... | /scandy-0.0.3.tar.gz/scandy-0.0.3/README.md | 0.640748 | 0.978672 | README.md | pypi |
# Scanflow-Kubernetes: An MLOps Platform
Scanflow-Kubernetes is a platform to simplify MLOps. It originally supports deploying and operating on Kubernetes, but users can also extend it into other platforms.
Scanflow is a high-level library that is built on top of Mlflow. It provides the ability to define workflows, ... | /scanflow-0.1.1.tar.gz/scanflow-0.1.1/README.md | 0.838647 | 0.974677 | README.md | pypi |
import typing as t
from pathlib import Path
from pydantic import BaseModel
from strictyaml import YAML, Float, Int, Map, Seq, Str, load
ROOT_PATH = Path(__file__).resolve().parent
ROOT = ROOT_PATH.parent
CONFIG_FILE_PATH = ROOT / "config.yml"
TRAIN_BATCH_FILES = ROOT / "train_batch_raw_files"
TRAINED_MODEL_DIR = ROOT... | /scania_truck_air_presure_fault_detector-0.1.0.tar.gz/scania_truck_air_presure_fault_detector-0.1.0/scania_truck_air_presure_fault_detector/config/core.py | 0.493164 | 0.259961 | core.py | pypi |
import xml.etree.ElementTree as ET
from math import acos, degrees
from collections import defaultdict
from sys import stdout
import numpy as np
def calc_sphere(x, y, z):
"""Calculate spherical coordinates for axial data."""
return np.degrees(np.arctan2(*(np.array((
x, y)) * np.sign(z)))) % 360, np.de... | /scanline-0.2.1.tar.gz/scanline-0.2.1/scanline.py | 0.547464 | 0.345602 | scanline.py | pypi |
import numpy as np
class sMerge:
"""The sMerge class, corresponds to the sMerge struct
Attributes
----------
isStack : bool
whether the provided images are in a stack or not
img_shape : ndarray
the shape of the provided images
numImages : int
the number of input images
... | /scanning_drift_corr-1.0.1.tar.gz/scanning_drift_corr-1.0.1/src/scanning_drift_corr/sMerge.py | 0.89499 | 0.918663 | sMerge.py | pypi |
import numpy as np
from scipy.ndimage import gaussian_filter, distance_transform_edt
def distance_transform(binary_image):
""" Same as bwdist in MATLAB, computes the Euclidean distance transform
of the binary image. For each pixel, the distance transform assigns a
number that is the distance between that ... | /scanning_drift_corr-1.0.1.tar.gz/scanning_drift_corr-1.0.1/src/scanning_drift_corr/tools.py | 0.924304 | 0.804905 | tools.py | pypi |
import warnings
import numpy as np
from scipy.ndimage.morphology import binary_dilation
from scanning_drift_corr.SPmakeImage import SPmakeImage
def SPmerge02_initial(sm, **kwargs):
"""Initial alignment
Parameters
----------
sm : sMerge object
the sMerge object contains all the data.
den... | /scanning_drift_corr-1.0.1.tar.gz/scanning_drift_corr-1.0.1/src/scanning_drift_corr/SPmerge02_initial.py | 0.820577 | 0.620075 | SPmerge02_initial.py | pypi |
import numpy as np
from scanning_drift_corr.SPmakeImage import SPmakeImage
from scanning_drift_corr.tools import distance_transform
def _globbal_phase_correlation(sm, scanOrStep, meanAbsDiff, densityCutoff,
densityDist,flagGlobalShiftIncrease,
minGlobalSh... | /scanning_drift_corr-1.0.1.tar.gz/scanning_drift_corr-1.0.1/src/scanning_drift_corr/SPmerge02_phase_correlation.py | 0.777807 | 0.666158 | SPmerge02_phase_correlation.py | pypi |
import numpy as np
from scanning_drift_corr.tools import distance_transform, \
bilinear_interpolation, apply_KDE
# Developer's use, for normal usage, should be 0. A small number to
# the 'count' array to be consistent with MATLAB while checking the
# logical of implementation.
DELTA = 0
def SPmakeImage(sMerge, i... | /scanning_drift_corr-1.0.1.tar.gz/scanning_drift_corr-1.0.1/src/scanning_drift_corr/SPmakeImage.py | 0.888771 | 0.66651 | SPmakeImage.py | pypi |
# Scanorama
- [API example usage](#api-example-usage)
- [Full tutorial](#full-tutorial)
- [Installation](#installation)
- [Testing](#testing)
- [Troubleshooting](#troubleshooting)
## Overview
Scanorama enables batch-correction and integration of heterogeneous scRNA-seq datasets, which is described in the paper ["Eff... | /scanorama-1.7.3.tar.gz/scanorama-1.7.3/README.md | 0.684159 | 0.990357 | README.md | pypi |
import numpy as np
from scanorama import *
from scipy.sparse import vstack
from sklearn.preprocessing import normalize, LabelEncoder
import sys
from time import time
from benchmark import write_table
from process import load_names, process
np.random.seed(0)
NAMESPACE = 'mouse_brain'
BATCH_SIZE = 10000
data_names = ... | /scanorama-1.7.3.tar.gz/scanorama-1.7.3/bin/mouse_brain.py | 0.472683 | 0.322313 | mouse_brain.py | pypi |
# Modified by Brian Hie <brianhie@mit.edu> to allow for multicore
# pairwise distance matrix computation.
# Original source code available at:
# https://github.com/scikit-learn/scikit-learn/blob/a24c8b46/sklearn/metrics/cluster/unsupervised.py
# Authors: Robert Layton <robertlayton@gmail.com>
# Arnaud Fouche... | /scanorama-1.7.3.tar.gz/scanorama-1.7.3/bin/unsupervised.py | 0.971279 | 0.681747 | unsupervised.py | pypi |
from sklearn.linear_model import LinearRegression
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
n_cells = np.reshape(np.array([
10547,
26369,
52738,
105476
]), (4, 1))
pano_memory = np.reshape(np.array([
1.1,
2.8,
6.1,
12.9
]), (4, 1))
cca_... | /scanorama-1.7.3.tar.gz/scanorama-1.7.3/bin/plot_resources.py | 0.798147 | 0.567757 | plot_resources.py | pypi |
import numpy as np
from scanorama import *
from scipy.sparse import vstack
from sklearn.preprocessing import normalize, LabelEncoder
import sys
from time import time
from benchmark import write_table
from process import load_names, process
np.random.seed(0)
NAMESPACE = 'mouse_brain_sketched'
BATCH_SIZE = 10000
data... | /scanorama-1.7.3.tar.gz/scanorama-1.7.3/bin/mouse_brain_sketched.py | 0.404743 | 0.36108 | mouse_brain_sketched.py | pypi |
import numpy as np
from scanorama import *
from scipy.stats import ttest_ind
from sklearn.metrics import silhouette_samples as sil
from process import load_names, process
def test_knn(datasets_dimred, genes, labels, idx, distr, xlabels):
knns = [ 5, 10, 50, 100 ]
len_distr = len(distr)
for knn in knns:
... | /scanorama-1.7.3.tar.gz/scanorama-1.7.3/bin/param_sensitivity.py | 0.421909 | 0.717663 | param_sensitivity.py | pypi |
# scanphyslog2bids
[](https://travis-ci.org/lukassnoek/scanphyslog2bids)
Code to convert Philips physiology files ("SCANPHYSLOG") to the BIDS-format, including the estimation of volume triggers using the logged gradient, volume markers... | /scanphyslog2bids-0.1.tar.gz/scanphyslog2bids-0.1/README.md | 0.878445 | 0.943919 | README.md | pypi |
import click
import sys
class NaturalOrderGroup(click.Group):
"""Command group trying to list subcommands in the order they were added.
With decorator, use::
@click.group(cls=NaturalOrderGroup)
"""
def list_commands(self, ctx):
"""List command names as they are in commands dict.
... | /scanpy_scripts-1.1.6-py3-none-any.whl/scanpy_scripts/click_utils.py | 0.450118 | 0.214311 | click_utils.py | pypi |
import click
from .click_utils import (
CommaSeparatedText,
Dictionary,
valid_limit,
valid_parameter_limits,
mutually_exclusive_with,
required_by,
)
COMMON_OPTIONS = {
"input": [
click.argument(
"input_obj",
metavar="<input_obj>",
type=click.Path(... | /scanpy_scripts-1.1.6-py3-none-any.whl/scanpy_scripts/cmd_options.py | 0.590779 | 0.273462 | cmd_options.py | pypi |
import numpy as np
import scanpy as sc
from ..obj_utils import (
_backup_default_key,
_delete_backup_key,
_rename_default_key,
_set_default_key,
_restore_default_key,
)
def paga(
adata,
key_added=None,
**kwargs,
):
"""
Wrapper function for sc.tl.paga, for supporting named slot
... | /scanpy_scripts-1.1.6-py3-none-any.whl/scanpy_scripts/lib/_paga.py | 0.446012 | 0.230205 | _paga.py | pypi |
import pandas as pd
import scanpy as sc
import logging
def diffexp(
adata,
use_raw=None,
n_genes=None,
key_added="rank_genes_groups",
layer=None,
logreg_param=None,
filter_params=None,
save=None,
groupby=None,
groups=None,
**kwargs,
):
"""
Wrapper function for sc.tl... | /scanpy_scripts-1.1.6-py3-none-any.whl/scanpy_scripts/lib/_diffexp.py | 0.632049 | 0.310172 | _diffexp.py | pypi |
from typing import Collection, Optional
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import scanpy as sc
def expr_colormap():
"""\
Gray-to-blue colormap for expression data
"""
cdict = {
'red': [
(0.0, 220/256, 220/256),
(0.5, 42/256, 4... | /scanpy-utils-0.1.1.tar.gz/scanpy-utils-0.1.1/src/sc_utils/plotting.py | 0.940997 | 0.650981 | plotting.py | pypi |
import numpy as np
import pandas as pd
def get_markers(
adata,
groupby,
key="rank_genes_groups",
p_val_cutoff=0.05,
logfc_cutoff=0.5
):
"""\
Extract markers from adata into Seurat-like table
Extracts markers after they are computed by ``scanpy``. Produces Seurat-like
table with fi... | /scanpy-utils-0.1.1.tar.gz/scanpy-utils-0.1.1/src/sc_utils/markers.py | 0.896953 | 0.626438 | markers.py | pypi |
import json
import logging
from argparse import ArgumentParser
from pathlib import Path
from subprocess import CalledProcessError, check_output
from typing import List, Optional
def report_output(stdout: bytes, label: str) -> List[str]:
ret = stdout.decode().strip().split("\n")
print(f"{label}: {ret}")
re... | /scanspec-0.6.3.tar.gz/scanspec-0.6.3/.github/pages/make_switcher.py | 0.853837 | 0.311898 | make_switcher.py | pypi |
import numpy as np
from itertools import product
import taichi as ti
import taichi.math as tm
pos_infinite = np.finfo('f').max # 3.4028235e+38
neg_infinite = np.finfo('f').min # -3.4028235e+38
PI = 3.141592653589793
ti.init(arch=ti.cuda, default_fp=ti.f64)
if ti.cfg.arch == ti.cuda:
print("GPU is available")
el... | /scape-apa-1.0.0.tar.gz/scape-apa-1.0.0/src/scape/taichi_core.py | 0.40439 | 0.336863 | taichi_core.py | pypi |
import os
import torch
from torch.utils.data import DataLoader
from torch.autograd import Variable
import numpy as np
from tqdm.auto import tqdm
import matplotlib.pyplot as plt
from loss import compute_mmd, mse_loss, binary_cross_entropy,kl_divergence
import random
def adjust_learning_rate(init_lr, optimizer, ... | /scape_sc-0.5.2-py3-none-any.whl/scape/train.py | 0.737347 | 0.421135 | train.py | pypi |
import os
import random
import pandas as pd
import numpy as np
import scanpy as sc
import scipy as sci
import scvelo as scv
import torch
from model import VAE
from train import train
def SCAPE(adata,adata_raw,genes,perturbation='KO',epoch=1000,lr=0.0005,patience=10,seed=9,GPU=0,batch_size=128,n_jobs=1,a=0.9,outdir=... | /scape_sc-0.5.2-py3-none-any.whl/scape/function.py | 0.717111 | 0.524943 | function.py | pypi |
import torch
import torch.nn as nn
class weightConstraint(object):
def __init__(self):
pass
def __call__(self,module):
if hasattr(module,'weight'):
w=module.weight.data
w=w.clamp(min=0)
module.weight.data=w
class VAE(nn.Module):
def __... | /scape_sc-0.5.2-py3-none-any.whl/scape/model.py | 0.895795 | 0.355104 | model.py | pypi |
import open3d as o3d
import numpy as np
import copy
import math
from tqdm import tqdm
import pyvista as pv
class scapula():
def __init__(self, file_name):
self.mesh = o3d.io.read_triangle_mesh(file_name)
self.mesh.compute_vertex_normals()
self.pcd = o3d.io.read_point_cloud(file_name)
... | /scapula_predict-0.0.10-py3-none-any.whl/scapula_predict/__init__.py | 0.433502 | 0.370624 | __init__.py | pypi |
from tabulate import tabulate
from scapy_helper.main import get_hex, show_diff
class Compare:
def __init__(self, first, second):
self.first = first
self.second = second
def equal(self):
"""
Return true if booth elements are equal
:return: bool
"""
retu... | /scapy_helper-0.14.8.tar.gz/scapy_helper-0.14.8/scapy_helper/compare.py | 0.784814 | 0.514766 | compare.py | pypi |
"""CLI Command utilities."""
from multiprocessing import Process
from pathlib import Path
from tempfile import mkdtemp
from time import sleep
from typing import Any, Optional
import click
from requests import RequestException, Session
class Printer:
"""Custom Styled Printer class."""
def __init__(self) -> ... | /scapy-man-0.3.3.tar.gz/scapy-man-0.3.3/scapy/cli/utils.py | 0.9025 | 0.209187 | utils.py | pypi |
"""CLI Command to generate password."""
import secrets
import string
from pathlib import Path
from typing import Optional
import click
@click.command()
@click.option(
"-r",
"--root",
default=None,
type=click.Path(file_okay=True, resolve_path=True),
help="Root password file. Ignored if --director... | /scapy-man-0.3.3.tar.gz/scapy-man-0.3.3/scapy/cli/generator/password.py | 0.770206 | 0.162214 | password.py | pypi |
"""Cloudflare Worker module to deploy Root certificate."""
from pathlib import Path
from typing import Optional, Union
from CloudflareAPI import Cloudflare
from CloudflareAPI.api import Worker as CFWorker
from CloudflareAPI.dataclass.namespace import Namespace
from CloudflareAPI.exceptions import CFError
class Work... | /scapy-man-0.3.3.tar.gz/scapy-man-0.3.3/scapy/core/worker.py | 0.92323 | 0.185652 | worker.py | pypi |
import re
import struct
from scapy.compat import raw, orb
from scapy.layers.inet import TCP, TCPOptions
from scapy_p0f.utils import lparse, guess_dist
from scapy_p0f.consts import WinType
# Convert TCP option num to p0f (nop is handled seperately)
tcp_options_p0f = {
2: "mss", # maximum segment size
3: "ws... | /scapy-p0f-1.0.5.tar.gz/scapy-p0f-1.0.5/scapy_p0f/base_classes.py | 0.48121 | 0.169028 | base_classes.py | pypi |
from typing import List
from scapy.packet import Packet
from six import PY2
from urwid import AttrMap, SimpleListWalker, CheckBox
from urwid.version import VERSION as URWID_VERSION
from .extended_listbox import ExtendedListBox
from .row_formatter import RowFormatter
class PacketListView(ExtendedListBox):
"""
... | /scapy-packet_viewer-0.0.3.tar.gz/scapy-packet_viewer-0.0.3/scapy_packet_viewer/packet_list_view.py | 0.843025 | 0.220794 | packet_list_view.py | pypi |
from ast import literal_eval
from typing import List, Type, Any, Union, Optional
from scapy.base_classes import SetGen
from scapy.config import conf
from scapy.fields import ConditionalField, Emph
from scapy.packet import Packet
from scapy.themes import BlackAndWhite
from scapy.utils import hexdump
import six
from ur... | /scapy-packet_viewer-0.0.3.tar.gz/scapy-packet_viewer-0.0.3/scapy_packet_viewer/edit_view.py | 0.889295 | 0.202838 | edit_view.py | pypi |
from collections import OrderedDict
from typing import Tuple, Callable, List
from urwid import AttrMap, Button, Columns, Text
class ButtonBar(Columns):
def __init__(self, commands):
# type: (OrderedDict[str, Action]) -> None
"""
The commandline interface renders a set of buttons implemen... | /scapy-packet_viewer-0.0.3.tar.gz/scapy-packet_viewer-0.0.3/scapy_packet_viewer/button_bar.py | 0.857709 | 0.399402 | button_bar.py | pypi |
from typing import Any, Tuple
from urwid import Edit, Canvas
class ExtendedEdit(Edit):
"""
A new signal "apply" is emitted by this Edit after Enter is pressed.
A new signal "exit" is emitted by this Edit after Escape is pressed.
It also takes care of resetting the text after losing focus.
"""
... | /scapy-packet_viewer-0.0.3.tar.gz/scapy-packet_viewer-0.0.3/scapy_packet_viewer/extended_edit.py | 0.816772 | 0.2258 | extended_edit.py | pypi |
from collections import defaultdict
from itertools import count
from typing import cast, Callable, Dict, List, Tuple, Optional, Any
from scapy.config import conf
from scapy.packet import Packet, Packet_metaclass
from .column_configuration import payload_column, repr_column
class RowFormatter(object):
"""
H... | /scapy-packet_viewer-0.0.3.tar.gz/scapy-packet_viewer-0.0.3/scapy_packet_viewer/row_formatter.py | 0.906216 | 0.239594 | row_formatter.py | pypi |
from platform import platform
import re
from traceback import print_exc
from typing import Optional, Union, Iterable, List, Tuple, Callable, Dict, \
Any, Type
from urwid import MainLoop, connect_signal, raw_display
from scapy.automaton import ObjectPipe
from scapy.config import conf
from scapy.packet import Packe... | /scapy-packet_viewer-0.0.3.tar.gz/scapy-packet_viewer-0.0.3/scapy_packet_viewer/viewer.py | 0.848188 | 0.422713 | viewer.py | pypi |
from decimal import Decimal
import re
from typing import List, Optional, Tuple
from cantools.database.can import Message, Signal
from scapy.packet import Packet
import urwid
from . import message_layout_string as mls
from .decimal_edit import DecimalEdit
class SignalTableRow(urwid.Columns):
urwid_signals = [ '... | /scapy-packet_viewer-0.0.3.tar.gz/scapy-packet_viewer-0.0.3/scapy_packet_viewer/custom_views/analyze_can_view/signal_table.py | 0.873674 | 0.246913 | signal_table.py | pypi |
from typing import cast, List
import numpy as np
def count_bit_flips(bodies: List[bytes], size: int) -> List[int]:
"""
Args:
bodies: The bodies to analyze.
size: The number of bits in each body. All bodies must have the same bit size.
Returns:
The absolute TAV, i.e. for each bit... | /scapy-packet_viewer-0.0.3.tar.gz/scapy-packet_viewer-0.0.3/scapy_packet_viewer/custom_views/analyze_can_view/utils.py | 0.939941 | 0.789558 | utils.py | pypi |
from typing import Dict, List, Optional, Tuple
from cantools.database.can import Message, Signal
from cantools.database.utils import start_bit
def get_signal_letter_mapping(message: Message) -> Dict[Signal, str]:
"""
Assign each signal of a message a unique letter. The order in which letters are assigned to... | /scapy-packet_viewer-0.0.3.tar.gz/scapy-packet_viewer-0.0.3/scapy_packet_viewer/custom_views/analyze_can_view/message_layout_string.py | 0.869035 | 0.743541 | message_layout_string.py | pypi |
[](https://api.travis-ci.org/tintinweb/scapy-ssl_tls.svg?branch=master)
SSL/TLS layers for scapy the interactive packet manipulation tool.
Scapy-SSL/TLS
=============
SSL/TLS and DTLS layers and TLS utiltiy functions for [Scapy](http... | /scapy-ssl_tls-2.0.0.tar.gz/scapy-ssl_tls-2.0.0/README.md | 0.673192 | 0.816772 | README.md | pypi |
TLS_CLIENTCERTIFICATETYPE_IDENTIFIERS_REGISTRY = {
0x00: 'Unassigned',
0x01: 'rsa_sign',
0x02: 'dss_sign',
0x03: 'rsa_fixed_dh',
0x04: 'dss_fixed_dh',
0x05: 'rsa_ephemeral_dh_RESERVED',
0x06: 'dss_ephemeral_dh_RESERVED',
0x14: 'fortezza_dms_RESERVED',
0x40: 'ecdsa_sign',
0x41: '... | /scapy-ssl_tls-2.0.0.tar.gz/scapy-ssl_tls-2.0.0/scapy_ssl_tls/ssl_tls_registry.py | 0.432782 | 0.265907 | ssl_tls_registry.py | pypi |
import binascii
import StringIO
class PKCS7Encoder(object):
"""
RFC 2315: PKCS#7 page 21
Some content-encryption algorithms assume the
input length is a multiple of k octets, where k > 1, and
let the application define a method for handling inputs
whose lengths are not a multiple of k octets.... | /scapy-ssl_tls-2.0.0.tar.gz/scapy-ssl_tls-2.0.0/scapy_ssl_tls/pkcs7.py | 0.702938 | 0.46794 | pkcs7.py | pypi |
import logging
import os
from typing import Dict, List
from pathlib import Path
from importlib_metadata import version
from flask.cli import load_dotenv
from msal import PublicClientApplication
from sentry_sdk.integrations.flask import FlaskIntegration
from str2bool import str2bool
from bas_style_kit_jinja_templates... | /scar_add_metadata_toolbox-0.3.0-py3-none-any.whl/scar_add_metadata_toolbox/config.py | 0.754915 | 0.161056 | config.py | pypi |
import os
import json
from base64 import urlsafe_b64decode
from typing import Dict, Optional
from pathlib import Path
# noinspection PyPackageRequirements
from awscli.clidriver import create_clidriver
from jinja2 import PrefixLoader, PackageLoader
from werkzeug.utils import import_string
from scar_add_metadata_toolb... | /scar_add_metadata_toolbox-0.3.0-py3-none-any.whl/scar_add_metadata_toolbox/utils.py | 0.788217 | 0.218795 | utils.py | pypi |
import tensorflow as tf
import numpy as np
import time
class DetectorAPI:
def __init__(self, path_to_ckpt):
self.path_to_ckpt = path_to_ckpt
self.detection_graph = tf.Graph()
with self.detection_graph.as_default():
od_graph_def = tf.compat.v1.GraphDef()
with tf.io.g... | /scar-4.3.0.tar.gz/scar-4.3.0/examples/mask-detector-workflow/blurry-faces/src/DetectorAPI.py | 0.843412 | 0.349255 | DetectorAPI.py | pypi |
import json, os, argparse, importlib, sys, traceback
from typing import Any, Dict, List, Literal, Tuple
import dearpygui.dearpygui as dpg
from scared.remote import load_remote_run
# {run name => {config key => config value}}
run_configs: Dict[str, Dict[str, Any]] = {}
# {run name => {metrics name => metrics value}}
r... | /scared_dashboard-0.1.0.tar.gz/scared_dashboard-0.1.0/scared/dashboard.py | 0.570331 | 0.209975 | dashboard.py | pypi |
import numpy as np
import scarf.instance
__all__ = ["gen_random_instance"]
def _id_2_tuple(num_single, idx):
if idx < num_single:
return idx
else:
couple_idx = idx - num_single
return (couple_idx // 2, couple_idx % 2)
def gen_random_instance(num_single, num_couple, num_hospital,
... | /scarfmatch-0.0.3.tar.gz/scarfmatch-0.0.3/scarf/random.py | 0.573798 | 0.368946 | random.py | pypi |
import numpy as np
def check_single_preflist(s, pair_list):
assert(np.all([len(p) == 2 and p[0] == s for p in pair_list]))
assert(pair_list[-1] == (s, -1))
def check_couple_preflist(c, pair_list):
assert(np.all([len(p) == 3 and p[0] == c for p in pair_list]))
assert(pair_list[-1] == (c, -1, -1))
def chec... | /scarfmatch-0.0.3.tar.gz/scarfmatch-0.0.3/scarf/utils.py | 0.783243 | 0.526708 | utils.py | pypi |
from abc import ABC, abstractmethod
from typing import Optional
from urllib.parse import urlencode
import requests
class ScarletSharkClient(ABC):
version: str
api_actions: dict = {}
api_key: str
print_json = False
def __init__(
self, api_key: str, print_json: bool = False):
s... | /scarlet-shark-client-1.0.5.tar.gz/scarlet-shark-client-1.0.5/scarlet_shark_client/clients/abstract.py | 0.882371 | 0.298453 | abstract.py | pypi |
from abc import ABC, abstractmethod
from typing import Optional
from urllib.parse import urlencode
import requests
class ScarletSharkClient(ABC):
version: str
api_actions: dict = {}
api_key: str
print_json = False
def __init__(
self, api_key: str, print_json: bool = False):
s... | /scarlet_shark_python-1.0.3-py3-none-any.whl/scarlet_shark_python/clients/abstract.py | 0.910326 | 0.303061 | abstract.py | pypi |
from django.forms.widgets import ClearableFileInput
from django.template.loader import render_to_string
from django.utils.html import escape
from django.utils.safestring import mark_safe
try:
from ..cms.internal_tags.fields import TaggedRelationWidget
from ..cms.widgets import APIChoiceWidget
except ValueError... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/assets/widgets.py | 0.485112 | 0.210219 | widgets.py | pypi |
import taggit.managers
from django.db import migrations, models
import scarlet.assets.fields
import scarlet.assets.utils
class Migration(migrations.Migration):
dependencies = [
("taggit", "0001_initial"),
]
operations = [
migrations.CreateModel(
name="Asset",
fie... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/assets/migrations/0001_initial.py | 0.489503 | 0.266853 | 0001_initial.py | pypi |
from django.core.management.base import BaseCommand
from django.db.models.loading import get_models
try:
from django.db.transaction import atomic
except ImportError:
from django.db.transaction import commit_on_success as atomic
from ...fields import AssetsFileField
from ...models import Asset
class Command(... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/assets/management/commands/update_model_tags.py | 0.497559 | 0.187951 | update_model_tags.py | pypi |
import django.db.models.deletion
from django.db import migrations, models
import scarlet.assets.fields
import scarlet.assets.utils
import scarlet.cms.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
('assets', '0001_initial'),
]
operations = [
migration... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/hotspots/migrations/0001_initial.py | 0.45181 | 0.25965 | 0001_initial.py | pypi |
import random
import re
from functools import update_wrapper
from django import http
from django.conf.urls import include, url
from django.urls import reverse
from django.utils.decorators import classonlymethod
from django.utils.safestring import mark_safe
from . import actions, helpers, options, views
from .item imp... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/cms/bundles.py | 0.712532 | 0.176689 | bundles.py | pypi |
import json
from django import http
from django.contrib import messages
from django.core.serializers.json import DjangoJSONEncoder
from django.shortcuts import render
from django.template.defaultfilters import slugify
from django.template.loader import render_to_string
from django.utils.encoding import force_text
cl... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/cms/renders.py | 0.798305 | 0.195921 | renders.py | pypi |
class Meta:
"""
The options class for Bundle objects, every bundle will
have an instance of this class as a _meta class attribute.
The following options, if set, are passed to all view instances
on the bundle. For more information on what each one does
see the CMS Views documentation.
* mo... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/cms/options.py | 0.836655 | 0.38168 | options.py | pypi |
from django import forms
from django.core.validators import EMPTY_VALUES
from django.db.models import F, Q
from . import settings, widgets
class BaseFilterForm(forms.Form):
"""
A base filter form. Implementing classes should
define their own filter fields.
"""
exclude = []
search_fields = No... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/cms/forms.py | 0.690455 | 0.237189 | forms.py | pypi |
import re
from django.contrib.contenttypes.models import ContentType
from django.db import models
from taggit.managers import TaggableManager
from taggit.models import Tag, TaggedItem
from .fields import TaggedRelationFormField
def get_model():
return Tag
def get_tag_manager():
return TaggableManager()
... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/cms/internal_tags/taggit_handler.py | 0.517571 | 0.326513 | taggit_handler.py | pypi |
from django.db import models
from django.db.models.fields import related
from .models import VersionView
class FKToVersion(models.ForeignKey):
"""
Field that creates a relation between a
version and another model
"""
def __init__(self, *args, **kwargs):
kwargs["to_field"] = "vid"
... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/versioning/fields.py | 0.615897 | 0.229557 | fields.py | pypi |
from .groups import CacheGroup
class CacheManager:
"""
A CacheManager is where you register all the cache groups
that you are tracking.
Similar to the django admin, most implementations would only
have one instance of this class that all managers would be
registered with. If you don't need an... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/cache/manager.py | 0.875335 | 0.411052 | manager.py | pypi |
from django.contrib.auth import get_user_model
from django.contrib.auth.forms import AdminPasswordChangeForm
try:
from ..cms import bundles, views
from ..cms.sites import site
except ValueError:
from cms import bundles, views
from cms.sites import site
from . import forms, groups
class AddView(views... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/accounts/cms_bundles.py | 0.510496 | 0.193319 | cms_bundles.py | pypi |
from django.contrib import messages
from django.contrib.auth import authenticate, login, REDIRECT_FIELD_NAME
from django.contrib.auth.forms import PasswordChangeForm
from django.contrib.auth.views import logout as Signout
from django.http import Http404, HttpResponseForbidden
from django.shortcuts import get_object_or_... | /scarletcms-3.1.0b8.tar.gz/scarletcms-3.1.0b8/scarlet/accounts/views.py | 0.704465 | 0.156137 | views.py | pypi |
# scarplet
[](https://travis-ci.com/rmsare/scarplet)
[](https://scarplet.readthedocs.io/en/latest/?badge=latest)
scarplet is a Python package for applying te... | /scarplet-0.1.3-py3-none-any.whl/scarplet-0.1.3.dist-info/DESCRIPTION.rst | 0.436142 | 0.976061 | DESCRIPTION.rst | pypi |
import cupy as cp
import numpy as np
from scipy.signal import tukey
def gaussian_window(x, width):
"""Gaussian window.
This function can generate a bank of windows at once if the width
argument is a vector (and/or amplitude). In this case, it should have
a new axis with respect to the time vector to... | /scatseisnet_gpu-0.1.6-py3-none-any.whl/scatseisnet/wavelet.py | 0.934619 | 0.91804 | wavelet.py | pypi |
import obspy
import pandas as pd
from glob import glob
from parse import parse
from tqdm import tqdm
from .io import stdout
def inventorize(parsable_path, channel_pattern, tag_pattern):
"""Glob files with expansion on tag and channel, and get headers.
Arguments
---------
parsable_path: str
... | /scatseisnet_gpu-0.1.6-py3-none-any.whl/scatseisnet/inventory.py | 0.49048 | 0.248198 | inventory.py | pypi |
import argparse
import click
import glob
import json
import logging
import numpy as np
import os
from pathlib import Path
FILE_ARGUMENTS = "arguments.json"
def stdout(message, value):
"""Format message with click echo and style.
Arguments
---------
message: str
The message to use as a b... | /scatseisnet_gpu-0.1.6-py3-none-any.whl/scatseisnet/io.py | 0.607081 | 0.317611 | io.py | pypi |
"""Show selected features in time and latent spaces."""
import nmmn.plots
import numpy as np
import os
from matplotlib import dates as mdates
from matplotlib import pyplot as plt
from scipy.stats import median_abs_deviation
from scipy.signal import medfilt
from ..io import stdout
def demad(x, factor=10.0):
"""... | /scatseisnet_gpu-0.1.6-py3-none-any.whl/scatseisnet/display/features.py | 0.872687 | 0.677337 | features.py | pypi |
import numpy as np
from matplotlib import dates as mdates
from matplotlib import pyplot as plt
from string import ascii_lowercase as letters
from scipy.cluster import hierarchy
COLORS = [
"0.8",
"#222222",
"#F3C300",
"#875692",
"#F38400",
"#A1CAF1",
"#BE0032",
"#C2B280",
"#848482"... | /scatseisnet_gpu-0.1.6-py3-none-any.whl/scatseisnet/display/linkage.py | 0.799168 | 0.624866 | linkage.py | pypi |
import nmmn.plots
import numpy as np
import pickle
from matplotlib import dates as mdates
from matplotlib import pyplot as plt
from .. import inventory
from .. import signal
from ..io import load_feature_file, stdout
plt.rcParams["figure.constrained_layout.use"] = True
def show(t, x, sx, net, timestamp, channel=1)... | /scatseisnet_gpu-0.1.6-py3-none-any.whl/scatseisnet/display/scatterings.py | 0.636692 | 0.576959 | scatterings.py | pypi |
import click
import numpy as np
import os
import pickle
from sklearn.decomposition import FastICA as skmodel
from sklearn.metrics import r2_score, mean_squared_error
from .common import common_options
from .. import signal, io
from ..display import show_features
@click.command("features", short_help="Calculate feat... | /scatseisnet_gpu-0.1.6-py3-none-any.whl/scatseisnet/cli/features.py | 0.69987 | 0.277005 | features.py | pypi |
import click
import os
import pickle
from .common import common_options
from .transform import load_waveform
from ..io import mkdir, stdout
from ..display import show_waveforms
@click.command("waveforms", short_help="Show waveforms from clustering.")
@common_options
@click.option(
"--segment",
type=float,
... | /scatseisnet_gpu-0.1.6-py3-none-any.whl/scatseisnet/cli/waveforms.py | 0.420481 | 0.185929 | waveforms.py | pypi |
import click
import os
from .common import common_options
from ..inventory import inventorize
from .. import io
@click.command("inventory", short_help="Create dataset inventory.")
@common_options
@click.option(
"--tags",
type=str,
default="*",
show_default=True,
help="Tags to search for in the d... | /scatseisnet_gpu-0.1.6-py3-none-any.whl/scatseisnet/cli/inventory.py | 0.674908 | 0.373047 | inventory.py | pypi |
"""Calculate scattering transform on segmented time series."""
import click
import numpy as np
import os
import pickle
from dateutil import tz
from matplotlib import dates as mdates
from .common import common_options
from .. import hierarchy
from ..display import dendrogram
from ..io import stdout, mkdir
@click.c... | /scatseisnet_gpu-0.1.6-py3-none-any.whl/scatseisnet/cli/linkage.py | 0.739046 | 0.376251 | linkage.py | pypi |
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm
from scipy.linalg import eigh
import warnings
warnings.simplefilter(action='ignore',category=FutureWarning)
import string
#reshape the 3D array into 4D with dimensions (h/2,w/2,c,4)
def reshape_array(I):
h,w,c = I.shape
new_arr=np.zer... | /scatter_downsample-0.2.6.tar.gz/scatter_downsample-0.2.6/scatter_downsample/helpers.py | 0.466359 | 0.550064 | helpers.py | pypi |
import torch
from torch import nn
class ScatteringCompositionalLearner(nn.Module):
"""
Scattering Compositional Learner (SCL) [1] for solving Raven's Progressive Matrices.
[1] Wu, Yuhuai, et al. "The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning.... | /scattering_compositional_learner-0.1.0-py3-none-any.whl/scattering_compositional_learner/scl.py | 0.961786 | 0.565959 | scl.py | pypi |
from typing import List, IO, Tuple
import numpy as np
import math
from sgt import _cpolarize
def make_rotation_matrix(alpha_deg: float, beta_deg: float, gamma_deg: float) -> np.ndarray:
"""Makes a rotation matrix that defines orientation of the detector.
The rotation matrix is calculated based on the given... | /scattering-geometry-tools-0.1.3.tar.gz/scattering-geometry-tools-0.1.3/src/sgt/core.py | 0.977371 | 0.909345 | core.py | pypi |
import torch
from torch import nn
import torch.nn.functional as F
# helper functions
def default(val, default_val):
return val if val is not None else default_val
def expand_dim(t, dim, k):
t = t.unsqueeze(dim)
expand_shape = [-1] * len(t.shape)
expand_shape[dim] = k
return t.expand(*expand_shape... | /scattering_transform-0.0.7-py3-none-any.whl/scattering_transform/scattering_transform.py | 0.867471 | 0.614683 | scattering_transform.py | pypi |
import inspect
import logging
import sys
from importlib.machinery import PathFinder, SourceFileLoader, ModuleSpec
from typing import Optional, List, Dict
from scavenger.internal.invocation_registry import InvocationRegistry
from scavenger.internal.util import md5, filter_by_exclude_packages
class Finder(PathFinder):... | /scavenger_agent_python-0.1.2-py3-none-any.whl/scavenger/internal/patch.py | 0.552057 | 0.177169 | patch.py | pypi |
import ast
import logging
import os
import time
from _ast import FunctionDef, Module, Call, Attribute, Name
from dataclasses import dataclass
from pathlib import Path
from typing import List
from scavenger.internal.model import Codebase, Function
from scavenger.internal.util import remove_suffix, filter_by_exclude_pac... | /scavenger_agent_python-0.1.2-py3-none-any.whl/scavenger/internal/scan.py | 0.693992 | 0.194521 | scan.py | pypi |
import hashlib
import math
import time
from dataclasses import dataclass
from typing import List
from scavenger.config import Config
from scavenger.internal.util import md5
from scavenger.model.CodeBasePublication_pb2 import CodeBasePublication
@dataclass
class Function:
name: str
declaring_type: str
sig... | /scavenger_agent_python-0.1.2-py3-none-any.whl/scavenger/internal/model.py | 0.833019 | 0.169509 | model.py | pypi |
from typing import List, Dict
import pandas as pd
import re
def _get_content_row(bl_sdf: pd.DataFrame, t1_sdf: pd.DataFrame, t2_sdf: pd.DataFrame, profile_name: str, profile_group: str,
bl_total_cust: int, t1_total_cust: int, t2_total_cust: int):
# sum abs number for each label value
bl_a... | /scb_profile_x-0.0.9-py3-none-any.whl/scb_profile_x/data_preparation.py | 0.583678 | 0.339609 | data_preparation.py | pypi |
import logging
import matplotlib.pyplot as plt
import pandas as pd
from pandas import DataFrame, Series
from .stats import save_stats
logger = logging.getLogger(__name__)
base_dir = "."
def plot_rr_overall_winrates(ser_overall_winrate: Series):
plt.figure()
bot_winrates = ser_overall_winrate.sort_values(a... | /scbw_mq-0.2.2-py3-none-any.whl/scbw_mq/tournament/benchmark/plots.py | 0.595257 | 0.297081 | plots.py | pypi |
import csv
import glob
import json
import logging
from typing import Dict, Optional
import elo
import numpy as np
import pandas as pd
from pandas import DataFrame, Series
from tqdm import tqdm
logger = logging.getLogger(__name__)
elo.WIN = 1.
elo.DRAW = 0.5
elo.LOSS = 0.
elo.K_FACTOR = 20
elo.INITIAL = 2000
elo.BETA... | /scbw_mq-0.2.2-py3-none-any.whl/scbw_mq/tournament/benchmark/stats.py | 0.589362 | 0.238667 | stats.py | pypi |
# scc4onnx
Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel order of RGB and BGR. **S**imple **C**hannel **C**onverter for **ONNX**.
https://github.com/PINTO0309/simple-onnx-processing-tools
[:
"""
scCCA model.
Parameters
----------
adata: anndata... | /sccca-0.3.1-py3-none-any.whl/scCCA/cca.py | 0.955047 | 0.653127 | cca.py | pypi |
import numpy as np
import pyro
import torch
from pyro.infer import Predictive, Trace_ELBO
from tqdm import tqdm
from .handler import SVIBaseHandler
class SVILocalHandler(SVIBaseHandler):
"""
Extend SVIBaseHandler to enable to use a separate model and guide
for prediction. Assumes theat model and guide ac... | /sccca-0.3.1-py3-none-any.whl/scCCA/train/local_handler.py | 0.91094 | 0.378804 | local_handler.py | pypi |
from typing import List, Union
import matplotlib.cm as cm
import matplotlib.patheffects as PathEffects
import matplotlib.pyplot as plt
import numpy as np
from .utils import set_up_cmap, set_up_plot
def loading_bar(
adata,
model_key: str,
state: str,
factor: Union[int, List[int], None] = None,
ve... | /sccca-0.3.1-py3-none-any.whl/scCCA/plots/loadings_bar.py | 0.969871 | 0.480966 | loadings_bar.py | pypi |
from typing import Union
import matplotlib.pyplot as plt
import numpy as np
from adjustText import adjust_text
from matplotlib.colors import LogNorm
from mpl_toolkits.axes_grid1 import make_axes_locatable
from scipy.stats import gamma, variation
from sklearn.metrics import mean_squared_error
from ..utils import extra... | /sccca-0.3.1-py3-none-any.whl/scCCA/plots/qc.py | 0.95418 | 0.686928 | qc.py | pypi |
from typing import Callable, List, Union
import matplotlib.colors as co
import matplotlib.pyplot as plt
import numpy as np
from anndata import AnnData
def set_up_cmap(array: np.ndarray, cmap: str = "RdBu"):
vmin = array.min()
vmax = array.max()
if vmin < 0 and vmax > 0:
norm = co.TwoSlopeNorm(vm... | /sccca-0.3.1-py3-none-any.whl/scCCA/plots/utils.py | 0.607547 | 0.469703 | utils.py | pypi |
from typing import List, Union
import matplotlib.cm as cm
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
from .utils import set_up_cmap, set_up_plot
def factor_embedding(
adata,
model_key="X_scpca",
basis: str = "X_umap",
factor: Union[int, List[int], None] =... | /sccca-0.3.1-py3-none-any.whl/scCCA/plots/factor_embedding.py | 0.950709 | 0.660011 | factor_embedding.py | pypi |
from collections import OrderedDict, namedtuple
import numpy as np
import pandas as pd
from patsy import dmatrix
from patsy.design_info import DesignMatrix
StateMapping = namedtuple("StateMapping", "mapping, reverse, encoding, index, columns, states, sparse")
def get_states(design: DesignMatrix) -> namedtuple:
... | /sccca-0.3.1-py3-none-any.whl/scCCA/utils/design.py | 0.941352 | 0.633368 | design.py | pypi |
import numpy as np
import anndata
from scipy.sparse import csr_matrix, hstack
from sccloud import io, tools, cite_seq
def run_pipeline(input_file, output_name, **kwargs):
is_raw = not kwargs["processed"]
if "seurat_compatible" not in kwargs:
kwargs["seurat_compatible"] = False
# load input data
... | /sccloud-0.14.0.tar.gz/sccloud-0.14.0/scCloud/pipeline/pipeline.py | 0.424889 | 0.24801 | pipeline.py | pypi |
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