code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
value |
|---|---|---|---|---|---|
from dataclasses import dataclass
from typing import List, Tuple, Dict, Any, Union, Optional
import pyrealsense2 as rs
from rich.console import Console
from .interaction import must_parse_cli_bool, must_parse_cli_sel, must_parse_cli_string, must_parse_cli_int
_ = {
"product": "L500",
"sn": "f0220485"... | /realsense_recorder-1.4-py3-none-any.whl/realsense_recorder/common/config.py | 0.796649 | 0.192748 | config.py | pypi |
from typing import Tuple, Optional, Union, List
from rich.console import Console
def parse_cli_string(msg, default_value: str = None) -> Tuple[Optional[str], Optional[Exception]]:
console = Console()
string_input = console.input(
" > " + msg + f" [ default={default_value} ]:"
)
if string_inp... | /realsense_recorder-1.4-py3-none-any.whl/realsense_recorder/common/interaction.py | 0.466359 | 0.206414 | interaction.py | pypi |
import datetime
from typing import Dict, Any, List
import pyrealsense2 as rs
from realsense_recorder.common import new_camera_config_by_device, new_system_config
def enumerate_connected_devices(ctx: rs.context):
"""
Enumerate the connected Intel RealSense devices
Parameters:
-----------
ctx ... | /realsense_recorder-1.4-py3-none-any.whl/realsense_recorder/common/utils.py | 0.761716 | 0.217296 | utils.py | pypi |
### how to enable ncnn vulkan capability
follow [the build and install instruction](https://github.com/Tencent/ncnn/blob/master/docs/how-to-build/how-to-build.md)
make sure you have installed vulkan sdk from [lunarg vulkan sdk website](https://vulkan.lunarg.com/sdk/home)
Usually, you can enable the vulkan compute in... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/docs/how-to-use-and-FAQ/FAQ-ncnn-vulkan.md | 0.44553 | 0.794185 | FAQ-ncnn-vulkan.md | pypi |
### caffemodel should be row-major
`caffe2ncnn` tool assumes the caffemodel is row-major (produced by c++ caffe train command).
The kernel 3x3 weights should be stored as
```
a b c
d e f
g h i
```
However, matlab caffe produced col-major caffemodel.
You have to transpose all the kernel weights by yourself or re-tra... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/docs/how-to-use-and-FAQ/FAQ-ncnn-produce-wrong-result.md | 0.659624 | 0.885928 | FAQ-ncnn-produce-wrong-result.md | pypi |
# implement elementwise addition with/without broadcast using BinaryOp operation
* input must be fp32 storage without packing
* output is expected to be fp32 storage without packing
```cpp
void binary_add(const ncnn::Mat& a, const ncnn::Mat& b, ncnn::Mat& c)
{
ncnn::Option opt;
opt.num_threads = 2;
opt.us... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/docs/developer-guide/low-level-operation-api.md | 0.559892 | 0.655384 | low-level-operation-api.md | pypi |
|operation|param id|param phase|default value|weight order|
|:---:|:---:|:---:|:---:|:---:|
|AbsVal|||
|ArgMax|0|out_max_val|0|
||1|topk|1|
|BatchNorm|0|channels|0|slope mean variance bias|
||1|eps|0.f|
|Bias|0|bias_data_size|0|
|BinaryOp|0|op_type|0|
||1|with_scalar|0|
||2|b|0.f|
|BNLL|||
|Cast|0|type_from|0|
||1|typ... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/docs/developer-guide/operation-param-weight-table.md | 0.833596 | 0.776411 | operation-param-weight-table.md | pypi |
* [AbsVal](#absval)
* [ArgMax](#argmax)
* [BatchNorm](#batchnorm)
* [Bias](#bias)
* [BinaryOp](#binaryop)
* [BNLL](#bnll)
* [Cast](#cast)
* [Clip](#clip)
* [Concat](#concat)
* [Convolution](#convolution)
* [Convolution1D](#convolution1d)
* [Convolution3D](#convolution3d)
* [ConvolutionDepthWise](#convolutiondepthwise)... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/docs/developer-guide/operators.md | 0.547464 | 0.975225 | operators.md | pypi |
.. figure:: https://github.com/pybind/pybind11/raw/master/docs/pybind11-logo.png
:alt: pybind11 logo
**pybind11 — Seamless operability between C++11 and Python**
|Latest Documentation Status| |Stable Documentation Status| |Gitter chat| |GitHub Discussions| |CI| |Build status|
|Repology| |PyPI package| |Conda-forg... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/pybind11/README.rst | 0.922478 | 0.822011 | README.rst | pypi |
import numpy as np
def xywh2xyxy(x):
# Convert nx4 boxes from [x, y, w, h] to [x1, y1, x2, y2] where xy1=top-left, xy2=bottom-right
y = np.zeros_like(x)
y[:, 0] = x[:, 0] - x[:, 2] / 2 # top left x
y[:, 1] = x[:, 1] - x[:, 3] / 2 # top left y
y[:, 2] = x[:, 0] + x[:, 2] / 2 # bottom right x
... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/utils/functional.py | 0.921394 | 0.821975 | functional.py | pypi |
import os
import hashlib
import requests
from tqdm import tqdm
def check_sha1(filename, sha1_hash):
"""Check whether the sha1 hash of the file content matches the expected hash.
Parameters
----------
filename : str
Path to the file.
sha1_hash : str
Expected sha1 hash in hexadecimal... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/utils/download.py | 0.696062 | 0.314024 | download.py | pypi |
from math import sqrt
import numpy as np
import cv2
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
from ..utils.functional import sigmoid, nms
class Yolact:
def __init__(
self,
target_size=550,
confidence_threshold=0.05,
nms_threshold... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/yolact.py | 0.726037 | 0.244961 | yolact.py | pypi |
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
class YoloV4_Base:
def __init__(self, tiny, target_size, num_threads=1, use_gpu=False):
self.target_size = target_size
self.num_threads = num_threads
self.use_gpu = use_gpu
self.mean_val... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/yolov4.py | 0.654895 | 0.247828 | yolov4.py | pypi |
import numpy as np
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
def clamp(v, lo, hi):
if v < lo:
return lo
elif hi < v:
return hi
else:
return v
class MobileNetV3_SSDLite:
def __init__(self, target_size=300, num_threads=1, use... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/mobilenetv3ssdlite.py | 0.643329 | 0.300962 | mobilenetv3ssdlite.py | pypi |
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
class PeleeNet_SSD:
def __init__(self, target_size=304, num_threads=1, use_gpu=False):
self.target_size = target_size
self.num_threads = num_threads
self.use_gpu = use_gpu
self.mean_vals... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/peleenetssd.py | 0.556641 | 0.264198 | peleenetssd.py | pypi |
"""Model store which provides pretrained models."""
from __future__ import print_function
__all__ = ["get_model_file", "purge"]
import os
import zipfile
import logging
import portalocker
from ..utils import download, check_sha1
_model_sha1 = {
name: checksum
for checksum, name in [
("4ff279e78cdb0b... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/model_store.py | 0.674479 | 0.179351 | model_store.py | pypi |
import numpy as np
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
class Faster_RCNN:
def __init__(
self,
img_width=600,
img_height=600,
num_threads=1,
use_gpu=False,
max_per_image=100,
confidence_thresh=0.05,
... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/fasterrcnn.py | 0.632049 | 0.205475 | fasterrcnn.py | pypi |
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
class MobileNet_SSD:
def __init__(self, target_size=300, num_threads=1, use_gpu=False):
self.target_size = target_size
self.num_threads = num_threads
self.use_gpu = use_gpu
self.mean_val... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/mobilenetssd.py | 0.523664 | 0.258993 | mobilenetssd.py | pypi |
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
class SqueezeNet_SSD:
def __init__(self, target_size=300, num_threads=1, use_gpu=False):
self.target_size = target_size
self.num_threads = num_threads
self.use_gpu = use_gpu
self.mean_va... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/squeezenetssd.py | 0.527317 | 0.264952 | squeezenetssd.py | pypi |
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
class MobileNet_YoloV2:
def __init__(self, target_size=416, num_threads=1, use_gpu=False):
self.target_size = target_size
self.num_threads = num_threads
self.use_gpu = use_gpu
self.mean_... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/yolov2.py | 0.635788 | 0.262369 | yolov2.py | pypi |
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
class MobileNetV2_YoloV3:
def __init__(self, target_size=352, num_threads=1, use_gpu=False):
self.target_size = target_size
self.num_threads = num_threads
self.use_gpu = use_gpu
self.mea... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/yolov3.py | 0.521471 | 0.263884 | yolov3.py | pypi |
import time
import numpy as np
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
from ..utils.functional import *
import cv2
class NanoDet:
def __init__(
self,
target_size=320,
prob_threshold=0.4,
nms_threshold=0.3,
num_threads=1... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/nanodet.py | 0.645567 | 0.212579 | nanodet.py | pypi |
import numpy as np
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
class RFCN:
def __init__(
self,
target_size=224,
max_per_image=100,
confidence_thresh=0.6,
nms_threshold=0.3,
num_threads=1,
use_gpu=False,
... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/rfcn.py | 0.680242 | 0.242026 | rfcn.py | pypi |
import numpy as np
import ncnn
from .model_store import get_model_file
from ..utils.objects import Point, Face_Object
class RetinaFace:
def __init__(
self, prob_threshold=0.8, nms_threshold=0.4, num_threads=1, use_gpu=False
):
self.prob_threshold = prob_threshold
self.nms_threshold = ... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/retinaface.py | 0.765243 | 0.245334 | retinaface.py | pypi |
import ncnn
from .model_store import get_model_file
from ..utils.objects import Detect_Object
class Noop(ncnn.Layer):
pass
def Noop_layer_creator():
return Noop()
class MobileNetV2_SSDLite:
def __init__(self, target_size=300, num_threads=1, use_gpu=False):
self.target_size = target_size
... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/mobilenetv2ssdlite.py | 0.625438 | 0.280296 | mobilenetv2ssdlite.py | pypi |
import ncnn
from .model_store import get_model_file
from ..utils.objects import KeyPoint
class SimplePose:
def __init__(
self, target_width=192, target_height=256, num_threads=1, use_gpu=False
):
self.target_width = target_width
self.target_height = target_height
self.num_thre... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/python/ncnn/model_zoo/simplepose.py | 0.632503 | 0.15704 | simplepose.py | pypi |
# PNNX
PyTorch Neural Network eXchange(PNNX) is an open standard for PyTorch model interoperability. PNNX provides an open model format for PyTorch. It defines computation graph as well as high level operators strictly matches PyTorch.
# Rationale
PyTorch is currently one of the most popular machine learning framework... | /realsr-ncnn-vulkan-python-1.0.6.tar.gz/realsr-ncnn-vulkan-python-1.0.6/realsr_ncnn_vulkan_python/realsr-ncnn-vulkan/src/ncnn/tools/pnnx/README.md | 0.809464 | 0.983769 | README.md | pypi |
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
import numpy as np
import pandas as pd
import re
import csv
import time
import o... | /realstate_scrap-0.1.0-py3-none-any.whl/Programa/realstate_scrap.py | 0.615781 | 0.252816 | realstate_scrap.py | pypi |
from __future__ import annotations
import asyncio
import json
from collections import namedtuple
from typing import List, TYPE_CHECKING
if TYPE_CHECKING:
from realtime_py.connection import Socket
"""
Callback Listener is a tuple with `event` and `callback`
"""
CallbackListener = namedtuple("CallbackListener", "... | /realtime-py-0.1.3.tar.gz/realtime-py-0.1.3/realtime_py/channel.py | 0.754915 | 0.273756 | channel.py | pypi |
from __future__ import unicode_literals
import datetime
import json
import os
try:
# Python 3
from urllib.request import urlopen, quote, urlretrieve
except ImportError:
# Python 2
from urllib2 import urlopen, quote
from urllib import urlretrieve
from .error import RequestError
def __validate_lis... | /realtime-stock-1.0.0.tar.gz/realtime-stock-1.0.0/rtstock/utils.py | 0.71403 | 0.301144 | utils.py | pypi |
import re
from collections import OrderedDict, defaultdict
from typing import NamedTuple, Dict, List, Pattern, Tuple, Optional, Union
# Value of metrics - for value later, we want to support numpy arrays etc
LogItem = NamedTuple('LogItem', [('step', int), ('value', float)])
COMMON_NAME_SHORTCUTS = {
'acc': 'Accura... | /realtimeplt-0.0.1.tar.gz/realtimeplt-0.0.1/livelossplot/main_logger.py | 0.923273 | 0.340321 | main_logger.py | pypi |
import warnings
from typing import Type, TypeVar, List, Union
import livelossplot
from livelossplot.main_logger import MainLogger
from livelossplot import outputs
BO = TypeVar('BO', bound=outputs.BaseOutput)
class PlotLosses:
"""
Class collect metrics from the training engine and send it to plugins, when se... | /realtimeplt-0.0.1.tar.gz/realtimeplt-0.0.1/livelossplot/plot_losses.py | 0.907292 | 0.416915 | plot_losses.py | pypi |
from typing import Optional
import ignite.engine
from ignite.handlers import global_step_from_engine
from livelossplot.plot_losses import PlotLosses
class PlotLossesCallback:
def __init__(self, train_engine: Optional[ignite.engine.Engine] = None, **kwargs):
"""
Args:
train_engine: eng... | /realtimeplt-0.0.1.tar.gz/realtimeplt-0.0.1/livelossplot/inputs/pytorch_ignite.py | 0.926686 | 0.197251 | pytorch_ignite.py | pypi |
from typing import List, Dict, Tuple
from livelossplot.main_logger import MainLogger, LogItem
from livelossplot.outputs.base_output import BaseOutput
class BokehPlot(BaseOutput):
"""Simple plugin for a bokeh framework"""
def __init__(
self,
max_cols: int = 2,
skip_first: int = 2,
... | /realtimeplt-0.0.1.tar.gz/realtimeplt-0.0.1/livelossplot/outputs/bokeh_plot.py | 0.832679 | 0.358662 | bokeh_plot.py | pypi |
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import ListedColormap
class BaseSubplot:
def __init__(self):
pass
def draw(self, *args, **kwargs):
raise Exception("Not implemented")
def __call__(self, *args, **kwargs):
self.draw(*args, **kwargs)
class ... | /realtimeplt-0.0.1.tar.gz/realtimeplt-0.0.1/livelossplot/outputs/matplotlib_subplots.py | 0.788217 | 0.425247 | matplotlib_subplots.py | pypi |
import math
from typing import Tuple, List, Dict, Optional, Callable
import warnings
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from IPython.display import clear_output
from livelossplot.main_logger import MainLogger, LogItem
from livelossplot.outputs.base_output import BaseOutput
class Ma... | /realtimeplt-0.0.1.tar.gz/realtimeplt-0.0.1/livelossplot/outputs/matplotlib_plot.py | 0.893173 | 0.427994 | matplotlib_plot.py | pypi |
from typing import Dict, List
from livelossplot.main_logger import LogItem
from livelossplot.main_logger import MainLogger
from .base_output import BaseOutput
class ExtremaPrinter(BaseOutput):
def __init__(
self,
massage_template: str = '\t{metric_name:16} \t (min: {min:8.3f},'
' max: {ma... | /realtimeplt-0.0.1.tar.gz/realtimeplt-0.0.1/livelossplot/outputs/extrema_printer.py | 0.885018 | 0.268929 | extrema_printer.py | pypi |
# What is `realtpl`?
`realtpl` (real gas thermodynamic python library) computes the density (rho),
heat capacity (cp), speed of sound (sound), viscosity (visc) and heat
conductivity (lambda) using a thermodynamic model based on cubic equations of
state (EoS) and compares it with reference data from the open source libr... | /realtpl-0.0.9.tar.gz/realtpl-0.0.9/README.md | 0.693992 | 0.84941 | README.md | pypi |
# realtrends
A package to scrape google trends and estimate absolute (real) search volumes
of given terms. Data is presented as a DataFrame.
## Install
```
pip install realtrends
```
## Examples
### Get real search volumes
Get real search volumes for "rain" amongst UK searchers over past day. Print
the results and... | /realtrends-1.1.0.tar.gz/realtrends-1.1.0/README.md | 0.451568 | 0.926204 | README.md | pypi |
from __future__ import annotations
from copy import deepcopy
from functools import partial
from dataclasses import Field, asdict, dataclass, fields, is_dataclass, replace
from typing import Any, Dict, List, Type, Union
DataClassInstance = Any
@dataclass
class NoParams:
"""For an actor that has no parameter"""
... | /ream2-2.12.1.tar.gz/ream2-2.12.1/ream/params_helper.py | 0.911928 | 0.710151 | params_helper.py | pypi |
from __future__ import annotations
import os
from pathlib import Path
from typing import Union
from ream.actor_state import ActorState
from ream.actor_version import ActorVersion
from ream.fs import FS
from slugify import slugify
class ReamWorkspace:
instance = None
def __init__(self, workdir: Union[str, P... | /ream2-2.12.1.tar.gz/ream2-2.12.1/ream/workspace.py | 0.815269 | 0.183173 | workspace.py | pypi |
from __future__ import annotations
from dataclasses import dataclass
from pathlib import Path
from typing import Generic, TypeVar
import orjson
K = TypeVar("K", str, int)
@dataclass
class ActorVersion(Generic[K]):
"""Represent a version of an actor that must be consistent with the version of other dependencies... | /ream2-2.12.1.tar.gz/ream2-2.12.1/ream/actor_version.py | 0.930829 | 0.225427 | actor_version.py | pypi |
import copy
from dataclasses import dataclass, field, fields, make_dataclass, asdict
from inspect import signature
from typing import Any, Optional, get_type_hints
from loguru import logger
from ream.actor_graph import ActorGraph
import yada
@dataclass
class CLI:
actor: str = field(
metadata={"help": "Ac... | /ream2-2.12.1.tar.gz/ream2-2.12.1/ream/cli_helper.py | 0.837919 | 0.209227 | cli_helper.py | pypi |
from __future__ import annotations
import os
import pickle
import struct
from copy import deepcopy
from dataclasses import dataclass, fields, is_dataclass
from io import BufferedReader, BytesIO
from pathlib import Path, PosixPath, WindowsPath
from typing import (
BinaryIO,
Callable,
Generic,
List,
... | /ream2-2.12.1.tar.gz/ream2-2.12.1/ream/data_model_helper.py | 0.814053 | 0.225619 | data_model_helper.py | pypi |
from __future__ import annotations
from dataclasses import dataclass
from typing import (
Any,
Dict,
List,
Optional,
Type,
Union,
)
from ream.actor_version import ActorVersion
from ream.params_helper import DataClassInstance, param_as_dict
from ream.helper import get_classpath
@dataclass
class... | /ream2-2.12.1.tar.gz/ream2-2.12.1/ream/actor_state.py | 0.915602 | 0.238761 | actor_state.py | pypi |
from __future__ import annotations
import functools
import random
import re
from dataclasses import dataclass
from pathlib import Path
from typing import Callable, Dict, Iterator, List, Optional, Tuple, TypedDict, TypeVar
import orjson
import serde.json
import serde.pickle
from loguru import logger
from serde.helper ... | /ream2-2.12.1.tar.gz/ream2-2.12.1/ream/dataset_helper.py | 0.881283 | 0.302069 | dataset_helper.py | pypi |
from __future__ import annotations
import os
from dataclasses import is_dataclass
from typing import TYPE_CHECKING, Generic, List, Optional, Protocol, Type, TypeVar
from loguru import logger
from ream.actor_state import ActorState
from ream.actors.interface import Actor
from ream.fs import FS
from ream.helper import... | /ream2-2.12.1.tar.gz/ream2-2.12.1/ream/actors/base.py | 0.927355 | 0.309911 | base.py | pypi |
"""REANA client utils."""
import base64
from datetime import datetime
import logging
import os
import pathlib
import sys
import traceback
from typing import Dict, Optional
from uuid import UUID
from reana_commons.utils import get_workflow_status_change_verb
from reana_commons.specification import load_reana_spec
fro... | /reana-client-0.9.1a2.tar.gz/reana-client-0.9.1a2/reana_client/utils.py | 0.720663 | 0.169853 | utils.py | pypi |
import sys
from typing import Dict
from reana_commons.validation.parameters import build_parameters_validator
from reana_commons.errors import REANAValidationError
from reana_client.printer import display_message
def validate_parameters(reana_yaml: Dict) -> None:
"""Validate the presence of input parameters in ... | /reana-client-0.9.1a2.tar.gz/reana-client-0.9.1a2/reana_client/validation/parameters.py | 0.500488 | 0.22378 | parameters.py | pypi |
import sys
from typing import Dict, NoReturn, Union
import click
from reana_commons.errors import REANAValidationError
from reana_commons.validation.operational_options import validate_operational_options
from reana_commons.validation.utils import validate_reana_yaml, validate_workflow_name
from reana_client.printe... | /reana-client-0.9.1a2.tar.gz/reana-client-0.9.1a2/reana_client/validation/utils.py | 0.552298 | 0.159675 | utils.py | pypi |
import sys
import logging
import requests
from reana_commons.config import (
REANA_DEFAULT_SNAKEMAKE_ENV_IMAGE,
WORKFLOW_RUNTIME_USER_GID,
WORKFLOW_RUNTIME_USER_UID,
)
from reana_commons.utils import run_command
from reana_client.errors import EnvironmentValidationError
from reana_client.config import (... | /reana-client-0.9.1a2.tar.gz/reana-client-0.9.1a2/reana_client/validation/environments.py | 0.588653 | 0.206834 | environments.py | pypi |
"""REANA cluster utils."""
import json
import logging
import random
import string
import subprocess
import sys
from getpass import getpass
import yaml
from jsonschema import ValidationError, validate
from reana_cluster.config import (DEFAULT_REANA_CERN_GITLAB_SECRET_NAME,
DEFAULT_RE... | /reana-cluster-0.6.1.tar.gz/reana-cluster-0.6.1/reana_cluster/utils.py | 0.529263 | 0.181481 | utils.py | pypi |
import os
import base64
import json
import logging
import signal
import click
from reana_commons.api_client import JobControllerAPIClient
from reana_commons.publisher import WorkflowStatusPublisher
from reana_commons.utils import check_connection_to_job_controller
def load_json(ctx, param, value):
"""Load json ... | /reana-commons-0.9.3a3.tar.gz/reana-commons-0.9.3a3/reana_commons/workflow_engine.py | 0.572125 | 0.159119 | workflow_engine.py | pypi |
"""REANA-Commons module to manage AMQP connections on REANA."""
import json
import logging
from typing import Optional
from kombu import Connection, Exchange, Queue
from .config import (
MQ_CONNECTION_STRING,
MQ_DEFAULT_EXCHANGE,
MQ_DEFAULT_FORMAT,
MQ_DEFAULT_QUEUES,
MQ_PRODUCER_MAX_RETRIES,
)
... | /reana-commons-0.9.3a3.tar.gz/reana-commons-0.9.3a3/reana_commons/publisher.py | 0.938152 | 0.175185 | publisher.py | pypi |
class MissingAPIClientConfiguration(Exception):
"""REANA Server URL is not set."""
class REANASecretDoesNotExist(Exception):
"""The referenced REANA secret does not exist."""
def __init__(self, missing_secrets_list=None):
"""Initialise REANA secret does not exist exception."""
self.missin... | /reana-commons-0.9.3a3.tar.gz/reana-commons-0.9.3a3/reana_commons/errors.py | 0.943317 | 0.173866 | errors.py | pypi |
import json
import logging
import os
import subprocess
import yaml
from reana_commons.serial import serial_load
from reana_commons.snakemake import snakemake_load
from reana_commons.yadage import yadage_load
def cwl_load(workflow_file, **kwargs):
"""Validate and return cwl workflow specification.
:param wor... | /reana-commons-0.9.3a3.tar.gz/reana-commons-0.9.3a3/reana_commons/specification.py | 0.704567 | 0.18451 | specification.py | pypi |
from collections import namedtuple
import os
from reana_commons.config import (
KRB5_CONFIGMAP_NAME,
KRB5_CONTAINER_IMAGE,
KRB5_INIT_CONTAINER_NAME,
KRB5_RENEW_CONTAINER_NAME,
KRB5_STATUS_FILE_LOCATION,
KRB5_STATUS_FILE_CHECK_INTERVAL,
KRB5_TICKET_RENEW_INTERVAL,
KRB5_TOKEN_CACHE_FILENA... | /reana-commons-0.9.3a3.tar.gz/reana-commons-0.9.3a3/reana_commons/k8s/kerberos.py | 0.615088 | 0.197174 | kerberos.py | pypi |
import os
from reana_commons.config import (
REANA_SHARED_PVC_NAME,
REANA_STORAGE_BACKEND,
SHARED_VOLUME_PATH,
WORKSPACE_PATHS,
)
REANA_SHARED_VOLUME_NAME = "reana-shared-volume"
def get_reana_shared_volume():
"""Return REANA shared volume as k8s spec.
Depending on the configured storage ba... | /reana-commons-0.9.3a3.tar.gz/reana-commons-0.9.3a3/reana_commons/k8s/volumes.py | 0.759404 | 0.288522 | volumes.py | pypi |
import os
import re
from collections import defaultdict
from reana_commons.config import COMMAND_DANGEROUS_OPERATIONS
from reana_commons.errors import REANAValidationError
def build_parameters_validator(reana_yaml):
"""Validate the presence of input parameters in workflow step commands and viceversa.
:param... | /reana-commons-0.9.3a3.tar.gz/reana-commons-0.9.3a3/reana_commons/validation/parameters.py | 0.754373 | 0.287026 | parameters.py | pypi |
from typing import Dict, List, Optional
from reana_commons.errors import REANAValidationError
def build_compute_backends_validator(
reana_yaml: Dict, supported_backends: Optional[List[str]]
):
"""Validate compute backends in REANA specification file.
:param reana_yaml: dictionary which represents REANA ... | /reana-commons-0.9.3a3.tar.gz/reana-commons-0.9.3a3/reana_commons/validation/compute_backends.py | 0.950041 | 0.300149 | compute_backends.py | pypi |
import json
import logging
import os
from typing import Dict, List
from jsonschema import ValidationError, validate
from reana_commons.config import (
REANA_WORKFLOW_NAME_ILLEGAL_CHARACTERS,
WORKSPACE_PATHS,
reana_yaml_schema_file_path,
)
from reana_commons.errors import REANAValidationError
def validat... | /reana-commons-0.9.3a3.tar.gz/reana-commons-0.9.3a3/reana_commons/validation/utils.py | 0.701815 | 0.159872 | utils.py | pypi |
from alembic import op
import sqlalchemy as sa
import sqlalchemy_utils
# revision identifiers, used by Alembic.
revision = "c912d4f1e1cc"
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
"""Upgrade to c912d4f1e1cc revision."""
op.create_table(
"resource",
sa.Column(... | /reana-db-0.9.1.tar.gz/reana-db-0.9.1/reana_db/alembic/versions/20200928_1015_c912d4f1e1cc_quota_tables.py | 0.483648 | 0.157169 | 20200928_1015_c912d4f1e1cc_quota_tables.py | pypi |
from alembic import op
import sqlalchemy as sa
import sqlalchemy_utils
# revision identifiers, used by Alembic.
revision = "b92fe567be5b"
down_revision = "d34f3905043c"
branch_labels = None
depends_on = None
def upgrade():
"""Upgrade to b92fe567be5b revision."""
op.create_table(
"workspace_retention... | /reana-db-0.9.1.tar.gz/reana-db-0.9.1/reana_db/alembic/versions/20220711_1301_b92fe567be5b_retention_rules.py | 0.444806 | 0.195748 | 20220711_1301_b92fe567be5b_retention_rules.py | pypi |
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "377cfbfccf75"
down_revision = "b92fe567be5b"
branch_labels = None
depends_on = None
# Name of the status enum type
enum_name = "workspaceretentionrulestatus"
tmp_name = "workspaceretentionrulestatus_tmp"
def upgrade... | /reana-db-0.9.1.tar.gz/reana-db-0.9.1/reana_db/alembic/versions/20221006_1140_377cfbfccf75_retention_rules_pending_status.py | 0.472197 | 0.169715 | 20221006_1140_377cfbfccf75_retention_rules_pending_status.py | pypi |
.. _administratorguide:
Administrator guide
===================
This administrator guide is meant for people who would like to deploy and manage
REANA clusters. (The researchers are probably interested in reading the
:ref:`userguide` instead.)
Architecture
------------
REANA system is composed of multiple separated... | /reana-0.6.1.tar.gz/reana-0.6.1/docs/administratorguide.rst | 0.853669 | 0.665784 | administratorguide.rst | pypi |
from typing import Any, List
import numpy as np
from sklearn import tree
from backend.inference_core.prediction import Prediction
from backend.inference_core.prediction_stats import getStats
def get_mask_from_exp(data, exp):
feature, op, val, mask = None, None, None, None
if ">=" in exp:
op = ">="
... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/inference_core/algorithms/range.py | 0.590543 | 0.405655 | range.py | pypi |
from copy import deepcopy
from typing import Any, Dict, List, Optional
import numpy as np
import pandas as pd
from backend.inference_core.prediction import Prediction
from backend.inference_core.prediction_stats import getStats
from backend.inference_core.rankings import rank_jaccard
from backend.inference_core.reapp... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/inference_core/reapply/data_structures/record.py | 0.855263 | 0.266274 | record.py | pypi |
from typing import Dict, List
import pandas as pd
from backend.inference_core.reapply.data_structures.base_interaction import (
BaseInteraction,
)
from backend.inference_core.reapply.data_structures.brush_interaction import (
BrushInteraction,
)
from backend.inference_core.reapply.data_structures.filter_inter... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/inference_core/reapply/data_structures/interactions.py | 0.805173 | 0.239616 | interactions.py | pypi |
from copy import deepcopy
from typing import Dict, Optional
import pandas as pd
from backend.inference_core.reapply.data_structures.Provenance.state import State
from backend.inference_core.reapply.data_structures.record import Record
from backend.inference_core.reapply.data_structures.types import (
BrushAction,... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/inference_core/reapply/data_structures/Provenance/node.py | 0.843895 | 0.248466 | node.py | pypi |
from typing import Dict
import pandas as pd
from asciitree import BoxStyle, LeftAligned
from backend.inference_core.reapply.data_structures.Provenance.node import Node, NodeId
def iterate(nodes: Dict[str, Node], id: str, tree={}):
node = nodes[id]
if node.id not in tree:
tree[node.id] = {}
for c... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/inference_core/reapply/data_structures/Provenance/graph.py | 0.721449 | 0.275824 | graph.py | pypi |
from backend.inference_core.prediction import Prediction
from backend.inference_core.reapply.compare import get_changes_df
from backend.inference_core.reapply.data_structures.apply_results import Changes
from backend.inference_core.reapply.data_structures.types import Algorithms, Intents
from backend.inference_core.rea... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/inference_core/reapply/reapply_algorithms/algorithm_picker.py | 0.610453 | 0.27666 | algorithm_picker.py | pypi |
import itertools
import json
from typing import List
import pandas as pd
import yaml
from backend.inference_core.dataset_formatter import format_dataset
from backend.server.celery.tasks import (
precomputeClusters,
precomputeLR,
precomputeOutliers,
precomputeSkyline,
)
from backend.server.database.sch... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/server/database/process_dataset.py | 0.723993 | 0.326902 | process_dataset.py | pypi |
from typing import List
import numpy as np
import pandas as pd
from scipy.spatial import ConvexHull # type: ignore
from backend.inference_core.prediction import Prediction
from backend.inference_core.prediction_stats import getStats
from backend.inference_core.rankings import rank_jaccard
from backend.server.databas... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/server/database/schemas/algorithms/cluster.py | 0.748628 | 0.29438 | cluster.py | pypi |
from typing import List
import numpy as np
import pandas as pd
from backend.inference_core.prediction import Prediction
from backend.inference_core.prediction_stats import getStats
from backend.inference_core.rankings import rank_jaccard
from backend.server.database.schemas.algorithms.intent_base import IntentBase
f... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/server/database/schemas/algorithms/regression.py | 0.763748 | 0.416678 | regression.py | pypi |
from typing import Any
import pandas as pd
from celery.exceptions import Ignore
from celery.states import STARTED, SUCCESS
from backend.inference_core.algorithms.dbscan import computeDBScan, get_dbscan_count
from backend.inference_core.algorithms.kmeans import (
computeKMeansClusters,
get_kmeans_count,
)
from... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/server/celery/tasks.py | 0.479504 | 0.367895 | tasks.py | pypi |
from typing import Any, Dict, List
import pandas as pd
from flask import Blueprint, jsonify, request
from backend.inference_core.prediction import Prediction
from backend.server.celery.init import celery
from backend.server.database.process_dataset import process_dataset
from backend.server.database.schemas.datasetMe... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/server/routes/dataset/routes.py | 0.658637 | 0.21628 | routes.py | pypi |
from typing import List
from backend.inference_core.algorithms.dbscan import computeDBScan
from backend.inference_core.algorithms.kmeans import computeKMeansClusters
from backend.inference_core.algorithms.linear_regression import computeLR
from backend.inference_core.algorithms.range import range_intent
from backend.i... | /reapply_workflows-0.1.0-py3-none-any.whl/backend/server/routes/dataset/predict_helpers.py | 0.789883 | 0.390156 | predict_helpers.py | pypi |
# reapy-boost
`reapy` is a nice pythonic wrapper around the quite unpythonic [ReaScript Python API](https://www.reaper.fm/sdk/reascript/reascripthelp.html#p "ReaScript Python API documentation") for [REAPER](https://www.reaper.fm/ "REAPER").
# the boost
This fork started as local copy for working on the repository a... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/README.md | 0.485356 | 0.760584 | README.md | pypi |
import builtins
import functools
import typing as ty
import reapy_boost
@reapy_boost.inside_reaper()
def map(
function: ty.Callable,
*iterables: ty.Iterable,
constants: ty.Mapping[str, ty.Any] = ...,
kwargs_iterable: ty.Optional[ty.Iterable[ty.Mapping[str, ty.Any]]] = ...
) -> list:
"""Efficientl... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/map.py | 0.792464 | 0.473109 | map.py | pypi |
import typing as ty
import reapy_boost
from reapy_boost import reascript_api as RPR
from reapy_boost.core.item.take import Take
from reapy_boost.core.reapy_object import ReapyObject
from reapy_boost.core.track.automation_item import AutomationItem
from reapy_boost.core.track.track import Track
class EnvelopePoint(ty... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/envelope.py | 0.832543 | 0.391435 | envelope.py | pypi |
from typing import List, Tuple
import reapy_boost
import reapy_boost.reascript_api as RPR
from reapy_boost.core import ReapyObject
class AudioAccessor(ReapyObject):
def __init__(self, id: int) -> None:
self.id = id
@property
def _args(self) -> Tuple[int]:
return self.id,
def delete(... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/audio_accessor.py | 0.930324 | 0.419767 | audio_accessor.py | pypi |
from typing import Any, Dict, Iterator, Tuple, Type, TypedDict
import reapy_boost
import reapy_boost.reascript_api as RPR
ReapyObjectDict = TypedDict(
'ReapyObjectDict', {
"__reapy__": bool,
"class": str,
"args": Tuple[Any, ...],
"kwargs": Dict[str, Any]
}
)
class ReapyMetacla... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/reapy_object.py | 0.850825 | 0.205894 | reapy_object.py | pypi |
from enum import Enum
from typing import List, Tuple
import reapy_boost
import reapy_boost.reascript_api as RPR
def get_input_latency(unit: str = "second") -> float:
"""
Return input latency.
Parameters
----------
unit : {"sample", "second"}
Whether to return latency in samples or second... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/reaper/audio.py | 0.899613 | 0.451508 | audio.py | pypi |
import codecs
import pickle
from types import TracebackType
from typing import Dict, Generic, List, Optional, Tuple, TypeVar, Union
import reapy_boost
import reapy_boost.reascript_api as RPR
import contextlib
from .defer import ReaperConsole
import collections
import io
import os
import sys
_ORIGINAL_PRINT = print
... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/reaper/reaper.py | 0.742422 | 0.173673 | reaper.py | pypi |
import reapy_boost
import reapy_boost.reascript_api as RPR
import typing as ty
def get_active_editor() -> ty.Optional[reapy_boost.MIDIEditor]:
"""
Return active MIDI editor, or None if no editor is active.
Returns
-------
editor : MIDIEditor or None
Active MIDI editor, or None if no edito... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/reaper/midi.py | 0.74158 | 0.167219 | midi.py | pypi |
import reapy_boost
import os
import sys
import tempfile
import typing as ty
class Deferrer:
"""Class to register and run deferred calls."""
_next_call_id: int = 0
_callbacks: ty.Dict[int, ty.Callable[..., ty.Any]] = {}
_args: ty.Dict[int, ty.Tuple[ty.Any, ...]] = {}
_kwargs: ty.Dict[int, ty.Dic... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/reaper/defer.py | 0.592667 | 0.159381 | defer.py | pypi |
import reapy_boost
from reapy_boost.core.item.take import Take
import reapy_boost.reascript_api as RPR
from .window import Window
class MIDIEditor(Window):
def _get_int_setting(self, setting: str) -> int:
return RPR.MIDIEditor_GetSetting_int(self.id, setting) # type:ignore
def _get_str_setting(self... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/window/midi_editor.py | 0.799442 | 0.182353 | midi_editor.py | pypi |
from typing import NoReturn
import reapy_boost.reascript_api as RPR
from .window import Window
class ToolTip(Window):
"""Tooltip window."""
id: bytes
_x: int
_y: int
_topmost: bool
_show: bool
def __init__(
self,
message: str = " ",
x: int = 0,
y: int = 0,
... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/window/tooltip.py | 0.927285 | 0.302597 | tooltip.py | pypi |
from typing import Dict, Optional, Tuple
import reapy_boost
from reapy_boost import reascript_api as RPR
from reapy_boost.core import ReapyObject
class TimeSelection(ReapyObject):
_class_name = "TimeSelection"
def __init__(
self,
parent_project: Optional['reapy_boost.Project'] = None,
... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/project/time_selection.py | 0.943165 | 0.361024 | time_selection.py | pypi |
from typing_extensions import TypedDict
from typing import Dict, List, Optional, Union, cast
import reapy_boost
from reapy_boost import reascript_api as RPR
from reapy_boost.core import ReapyObject
class RegionInfo(TypedDict):
index: int
enum_index: int
project_id: str
name: str
start: float
e... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/project/region.py | 0.927445 | 0.270824 | region.py | pypi |
import pickle
import codecs
import os
from typing import List, Optional, Tuple, TypedDict, Union, cast, overload
import reapy_boost
from reapy_boost import reascript_api as RPR
from reapy_boost.core import ReapyObject
from reapy_boost.errors import RedoError, UndoError
class MeasureInfo(TypedDict):
"""
star... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/project/project.py | 0.91546 | 0.226848 | project.py | pypi |
from typing import Dict, Optional, TypedDict, Union, cast
import reapy_boost
from reapy_boost import reascript_api as RPR
from reapy_boost.core import ReapyObject
class MarkerInfo(TypedDict):
index: int
enum_index: int
project_id: str
position: float
name: str
class Marker(ReapyObject):
_c... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/project/marker.py | 0.934388 | 0.276519 | marker.py | pypi |
import reapy_boost
from reapy_boost import reascript_api as RPR
from reapy_boost.core import ReapyObject
from reapy_boost.tools import depends_on_sws
import typing as ty
class Send(ReapyObject):
"""Track send.
Attributes
----------
index : int
position on the track
is_muted : bool
is_... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/track/send.py | 0.802981 | 0.215516 | send.py | pypi |
from typing import Dict, Optional
from reapy_boost import reascript_api as RPR
from reapy_boost.core import ReapyObject
import reapy_boost
class AutomationItem(ReapyObject):
_class_name = "AutomationItem"
def __init__(
self,
envelope: Optional['reapy_boost.Envelope'] = None,
index: i... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/track/automation_item.py | 0.943361 | 0.283494 | automation_item.py | pypi |
import struct
import typing as ty
from enum import IntFlag, IntEnum
import typing_extensions as te
import reapy_boost
import reapy_boost.reascript_api as RPR
from reapy_boost.core import ReapyObject, ReapyObjectList
T1 = ty.TypeVar('T1', bound='MIDIEvent')
class CCShapeFlag(IntFlag):
square = 0
linear = 16
... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/item/midi_event.py | 0.838448 | 0.317572 | midi_event.py | pypi |
from typing import List, Tuple, Union, cast
import reapy_boost
from reapy_boost import reascript_api as RPR
from reapy_boost.core import ReapyObject
class Item(ReapyObject):
_class_name = "Item"
def __init__(self, id: str):
self.id = id
def __eq__(self, other: object) -> bool:
return is... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/item/item.py | 0.931758 | 0.312147 | item.py | pypi |
import struct
from typing import Iterable, List, Optional, Tuple, Union, cast
import reapy_boost
from reapy_boost import reascript_api as RPR
from reapy_boost.core import ReapyObject
class Take(ReapyObject):
_class_name = "Take"
def __init__(self, id: str):
self.id = id
def __eq__(self, other: ... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/item/take.py | 0.905847 | 0.313105 | take.py | pypi |
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Union
import reapy_boost
import reapy_boost.reascript_api as RPR
from reapy_boost.core import ReapyObject, ReapyObjectList
from reapy_boost.errors import DistError
class FXParam(float):
"""FX parameter."""
def __init__(
self, va... | /reapy-boost-0.10.201.tar.gz/reapy-boost-0.10.201/reapy_boost/core/fx/fx_param.py | 0.921636 | 0.309519 | fx_param.py | pypi |
# Rearden
**Rearden** is a Python package that provides a faster and more convenient way of carrying out data science and running machine learning algorithms. Making use of the functionality of the most popular libraries for data analysis (`pandas`, `numpy`, `statsmodels`), data vizualization (`matplotlib`, `seaborn`)... | /rearden-0.0.2.tar.gz/rearden-0.0.2/README.md | 0.68763 | 0.993397 | README.md | pypi |
from __future__ import annotations
import re
from datetime import datetime
from enum import Enum
import string
from typing import Any, Optional
from pydantic import Field
from pydantic.types import ConstrainedStr
from .base_model import BaseModel
from .utils import HashableSequence
# TODO: potential add validation... | /reasoner-pydantic-4.1.4.tar.gz/reasoner-pydantic-4.1.4/reasoner_pydantic/shared.py | 0.660063 | 0.191762 | shared.py | pypi |
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