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 |
|---|---|---|---|---|---|
.. _enzymes:
==================
Enzyme definitions
==================
All default available enzymes (`enzymes_definition.py`) are listed bellow.
For each of them, there is the equivalent in `RPG` grammar.
In the following, nomenclature of `Schechter and Berger <https://www.ncbi.nlm.nih.gov/pubmed/6035483>`_ is used.... | /rpg-2.0.1.tar.gz/rpg-2.0.1/docs/enzymes.rst | 0.794425 | 0.655377 | enzymes.rst | pypi |
# rpgPy
[](https://badge.fury.io/py/rpgPy)
RpgPy is a Python / Cython software for
- Reading [RPG cloud radar](https://www.radiometer-physics.de/products/microwave-remote-sensing-instrument... | /rpgPy-0.14.2.tar.gz/rpgPy-0.14.2/README.md | 0.409339 | 0.925466 | README.md | pypi |
from typing import Optional, Tuple
import numpy as np
from numba import jit
def spectra2moments(
data: dict,
header: dict,
spec_var: Optional[str] = "TotSpec",
fill_value: Optional[float] = -999.0,
n_points_min: Optional[int] = 4,
) -> dict:
"""Calculates radar moments from the main peak.
... | /rpgPy-0.14.2.tar.gz/rpgPy-0.14.2/rpgpy/spcutil.py | 0.958304 | 0.760806 | spcutil.py | pypi |
from pathlib import Path
from typing import Iterator, Tuple
import numpy as np
from rpgpy import utils
def read_rpg_header(file_name: Path) -> Tuple[dict, int]:
"""Reads header from RPG binary file.
Supports Level 0 (version 2.0, 3.5, 4.0) and Level 1 (version 1.0, 2.0, 3.5, 4.0)
Args:
file_na... | /rpgPy-0.14.2.tar.gz/rpgPy-0.14.2/rpgpy/header.py | 0.656328 | 0.396331 | header.py | pypi |
from typing import NamedTuple, Optional
class Meta(NamedTuple):
name: str
long_name: str
standard_name: Optional[str] = None
units: Optional[str] = None
comment: Optional[str] = None
METADATA = {
"DoppRes": Meta(name="doppler_resolution", long_name="Doppler resolution", units="m/s"),
"Fi... | /rpgPy-0.14.2.tar.gz/rpgPy-0.14.2/rpgpy/metadata.py | 0.923975 | 0.489564 | metadata.py | pypi |
import datetime
import os
from pathlib import Path
from typing import Dict, NamedTuple, Tuple, Union
import numpy as np
from numpy import ma
def get_current_time() -> str:
"""Returns current UTC time."""
return datetime.datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S")
def rpg_seconds2date(time_stamp: float,... | /rpgPy-0.14.2.tar.gz/rpgPy-0.14.2/rpgpy/utils.py | 0.913492 | 0.444263 | utils.py | pypi |
import glob
import logging
import os
import uuid
from pathlib import Path
from typing import Optional, Tuple, Union
import netCDF4
import numpy as np
from numpy import ma
from numpy.testing import assert_array_almost_equal, assert_array_equal
from tqdm import tqdm
import rpgpy.metadata
from rpgpy import read_rpg, uti... | /rpgPy-0.14.2.tar.gz/rpgPy-0.14.2/rpgpy/nc.py | 0.814459 | 0.308242 | nc.py | pypi |
from pathlib import Path, PurePath
from typing import List, TypeVar
import click
import magic
from rpgmaker_mv_decoder.callbacks import Callbacks
from rpgmaker_mv_decoder.clickdisplay import ClickDisplay
from rpgmaker_mv_decoder.constants import RPG_MAKER_MV_MAGIC
from rpgmaker_mv_decoder.project import Project
from ... | /rpgmaker_mv_decoder-1.4.0.tar.gz/rpgmaker_mv_decoder-1.4.0/rpgmaker_mv_decoder/projectencoder.py | 0.89682 | 0.263605 | projectencoder.py | pypi |
from typing import Callable, List, TypeVar
import click
from click._termui_impl import ProgressBar
from rpgmaker_mv_decoder import __version__ as VERSION
from rpgmaker_mv_decoder.messagetypes import MessageType
from rpgmaker_mv_decoder.promptresponse import PromptResponse
_T = TypeVar("_T", bound="Callbacks")
def ... | /rpgmaker_mv_decoder-1.4.0.tar.gz/rpgmaker_mv_decoder-1.4.0/rpgmaker_mv_decoder/callbacks.py | 0.892498 | 0.299336 | callbacks.py | pypi |
import struct
from binascii import crc32
from pathlib import Path, PurePath
from typing import Dict, List, TypeVar
import click
from click._termui_impl import ProgressBar
from rpgmaker_mv_decoder.callbacks import Callbacks
from rpgmaker_mv_decoder.clickdisplay import ClickDisplay
from rpgmaker_mv_decoder.constants im... | /rpgmaker_mv_decoder-1.4.0.tar.gz/rpgmaker_mv_decoder-1.4.0/rpgmaker_mv_decoder/projectkeyfinder.py | 0.880258 | 0.286749 | projectkeyfinder.py | pypi |
import os
import re
from abc import ABC
from pathlib import Path, PurePath
from typing import TypeVar
import click
from rpgmaker_mv_decoder.callbacks import Callbacks
from rpgmaker_mv_decoder.messagetypes import MessageType
from rpgmaker_mv_decoder.projectpaths import ProjectPaths
from rpgmaker_mv_decoder.promptresp... | /rpgmaker_mv_decoder-1.4.0.tar.gz/rpgmaker_mv_decoder-1.4.0/rpgmaker_mv_decoder/project.py | 0.838117 | 0.21036 | project.py | pypi |
import struct
from pathlib import Path, PurePath
from typing import List, TypeVar
import click
import magic
from rpgmaker_mv_decoder.callbacks import Callbacks
from rpgmaker_mv_decoder.clickdisplay import ClickDisplay
from rpgmaker_mv_decoder.constants import OCT_STREAM, RPG_MAKER_MV_MAGIC
from rpgmaker_mv_decoder.ex... | /rpgmaker_mv_decoder-1.4.0.tar.gz/rpgmaker_mv_decoder-1.4.0/rpgmaker_mv_decoder/projectdecoder.py | 0.853272 | 0.302127 | projectdecoder.py | pypi |
from pathlib import Path, PurePath
from typing import List, TypeVar
from uuid import UUID, uuid4
import click
_T = TypeVar("_T", bound="ProjectPaths")
class ProjectPaths:
"""Object that holds/validates project paths"""
def __init__(
self: _T,
source: PurePath = None,
destination: Pu... | /rpgmaker_mv_decoder-1.4.0.tar.gz/rpgmaker_mv_decoder-1.4.0/rpgmaker_mv_decoder/projectpaths.py | 0.885594 | 0.371878 | projectpaths.py | pypi |
import time
try:
import RPi.GPIO as GPIO
except ModuleNotFoundError:
pass
class Segments:
def __init__(self, bcm_gpio_clock=11, bcm_gpio_latch=13, bcm_gpio_data=14, num_displays=7, debug=False, offline=False):
self._is_offline = offline
self._is_debug = debug
self._segment_clock ... | /rpi_7segment-0.0.1.tar.gz/rpi_7segment-0.0.1/rpi_7segment/segments.py | 0.495117 | 0.252783 | segments.py | pypi |
from pydispatch import dispatcher
import logging
from apscheduler.triggers.cron import CronTrigger
logger = logging.getLogger()
class BaseModule(object):
""" Base class for all modules expressed via configuration and loaded in the
subscription chain.
Classes must implement 'run' and accept and re... | /rpi_automator-0.0.4.tar.gz/rpi_automator-0.0.4/rpi_automator/modules/BaseModule.py | 0.728265 | 0.282943 | BaseModule.py | pypi |
# title :PID.py
# description :python pid controller
# author :Caner Durmusoglu
# date :20151218
# version :0.1
# notes :
# python_version :2.7
# ==============================================================================
"""Ivmech PID Controller is simple imple... | /rpi_automator-0.0.4.tar.gz/rpi_automator-0.0.4/rpi_automator/util/PID.py | 0.828037 | 0.508361 | PID.py | pypi |
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Optional, TYPE_CHECKING
if TYPE_CHECKING:
from __init__ import BoardType
__all__ = ["detect_board_type", "FakeBacklightSysfs"]
def detect_board_type() -> Optional["BoardType"]:
"""Try to detect the board type based on the mo... | /rpi-backlight-2.6.0.tar.gz/rpi-backlight-2.6.0/rpi_backlight/utils.py | 0.741019 | 0.178472 | utils.py | pypi |
from argparse import ArgumentParser
from . import Backlight, BoardType, __version__, utils
STRING_TO_BOARD_TYPE = {
"raspberry-pi": BoardType.RASPBERRY_PI,
"tinker-board": BoardType.TINKER_BOARD,
"tinker-board-2": BoardType.TINKER_BOARD_2,
"microsoft-surface-rt": BoardType.MICROSOFT_SURFACE_RT,
}
BOA... | /rpi-backlight-2.6.0.tar.gz/rpi-backlight-2.6.0/rpi_backlight/cli.py | 0.655446 | 0.15704 | cli.py | pypi |
<!--
-*- coding: utf-8 -*-
Author: Lars B. Rollik <L.B.Rollik@protonmail.com>
License: BSD 3-Clause
-->
<!-- LINKS -->
[isc-dhcp-server]: https://ubuntu.com/server/docs/network-dhcp
[miniconda]: https://docs.conda.io/en/latest/miniconda.html
[pinout.xyz]: https://pinout.xyz
[Raspbian]: https://www.raspberrypi.org/d... | /rpi_camera_colony-0.5.0.tar.gz/rpi_camera_colony-0.5.0/README.md | 0.618089 | 0.843251 | README.md | pypi |
import json
import logging
from glob import glob
from pathlib import Path
import pandas as pd
import pandas.errors
def __read_json(file=None):
with open(file, "r") as f:
data = f.read()
try:
return json.loads(data)
except json.JSONDecodeError:
logging.debug(f"Failed to read JSON ... | /rpi_camera_colony-0.5.0.tar.gz/rpi_camera_colony-0.5.0/rpi_camera_colony/readers.py | 0.484868 | 0.202976 | readers.py | pypi |
from __future__ import annotations # PEP 563
import logging
import time
import threading
import signal
import asyncio
import concurrent.futures
import inspect
import enum
import typing
from . import gpio_driver
def get_logger():
return logging.getLogger(__name__)
class Controller:
"""Represents the objec... | /rpi_controls-1.0.3-py3-none-any.whl/rpicontrols/controller.py | 0.882301 | 0.240418 | controller.py | pypi |
import RPi.GPIO as GPIO
from . import gpio_driver
import logging
from typing import Callable, Optional
import time
class RpiGpioDriver(gpio_driver.GpioDriver):
"""Implementation of the GPIO driver interface based on `RPi.GPIO <https://pypi.org/project/RPi.GPIO/>`.
This is the default driver for button contro... | /rpi_controls-1.0.3-py3-none-any.whl/rpicontrols/rpi_gpio_driver.py | 0.853119 | 0.204183 | rpi_gpio_driver.py | pypi |
import numpy as np
from scipy.special import comb
from .util import bdeu
def LocalPrior(node, ps, d):
'''a function computing local prior: p(Gi) = 1 / comb(d-1, |pa(x_i)|)'''
'''
parameters:
-----------
node: i, index of Xi
ps: indices of parent variable of variable Xi
d: dimension, total... | /rpi_d3m_primitives_part2-0.0.5.tar.gz/rpi_d3m_primitives_part2-0.0.5/rpi_d3m_primitives_part2/Sampling/LocalPosterior.py | 0.447219 | 0.727564 | LocalPosterior.py | pypi |
from __future__ import division
from copy import copy
import itertools
from rpi_d3m_primitives.pyBN.utils.independence_tests import are_independent, mi_test
__author__ = """Nicholas Cullen <ncullen.th@dartmouth.edu>"""
def markov_blanket(bn):
"""
Return the Markov Blanket dictionary from a fully
(structurally) i... | /rpi_d3m_primitives_part2-0.0.5.tar.gz/rpi_d3m_primitives_part2-0.0.5/rpi_d3m_primitives_part2/pyBN/utils/markov_blanket.py | 0.705988 | 0.575409 | markov_blanket.py | pypi |
from __future__ import division
import numpy as np
from scipy.special import gamma, gammaln
from rpi_d3m_primitives.pyBN.learning.parameter.mle import mle_estimator, mle_fast
from rpi_d3m_primitives.pyBN.classes.empiricaldistribution import EmpiricalDistribution
def BDe(bn, data, ess=1, ed=None):
"""
Unique Bayes... | /rpi_d3m_primitives_part2-0.0.5.tar.gz/rpi_d3m_primitives_part2-0.0.5/rpi_d3m_primitives_part2/pyBN/learning/structure/score/bayes_scores.py | 0.883123 | 0.626153 | bayes_scores.py | pypi |
from __future__ import division
__author__ = """Nicholas Cullen <ncullen.th@dartmouth.edu>"""
import numpy as np
def bayes_estimator(bn, data, equiv_sample=None, prior_dict=None, nodes=None):
"""
Bayesian Estimation method of parameter learning.
This method proceeds by either 1) assuming a uniform prior
over th... | /rpi_d3m_primitives_part2-0.0.5.tar.gz/rpi_d3m_primitives_part2-0.0.5/rpi_d3m_primitives_part2/pyBN/learning/parameter/bayes.py | 0.802942 | 0.641914 | bayes.py | pypi |
from __future__ import division
__author__ = """Nicholas Cullen <ncullen.th@dartmouth.edu>"""
import numpy as np
def mle_fast(bn, data, nodes=None, counts=False, np=False):
"""
Maximum Likelihood estimation that is about 100 times as
fast as the original mle_estimator function - but returns
the same result
"""
... | /rpi_d3m_primitives_part2-0.0.5.tar.gz/rpi_d3m_primitives_part2-0.0.5/rpi_d3m_primitives_part2/pyBN/learning/parameter/mle.py | 0.437343 | 0.473109 | mle.py | pypi |
import numpy as np
from rpi_d3m_primitives_part2.featSelect.helperFunctions import find_probs
from scipy.stats import entropy
from sklearn import preprocessing
def findOptimalSplitPoint(min_val, max_val, ori_feat, label, incre_rate = 0.1):
hm_bins = round(1/incre_rate)
splits = np.linspace(min_val, max_val... | /rpi_d3m_primitives_part2-0.0.5.tar.gz/rpi_d3m_primitives_part2-0.0.5/rpi_d3m_primitives_part2/featSelect/discretization.py | 0.595728 | 0.482124 | discretization.py | pypi |
from __future__ import division
from copy import copy
import itertools
from rpi_d3m_primitives.pyBN.utils.independence_tests import are_independent, mi_test
__author__ = """Nicholas Cullen <ncullen.th@dartmouth.edu>"""
def markov_blanket(bn):
"""
Return the Markov Blanket dictionary from a fully
(structurally) i... | /rpi_d3m_primitives-0.2.9.tar.gz/rpi_d3m_primitives-0.2.9/rpi_d3m_primitives/pyBN/utils/markov_blanket.py | 0.705988 | 0.575409 | markov_blanket.py | pypi |
from __future__ import division
import numpy as np
from scipy.special import gamma, gammaln
from rpi_d3m_primitives.pyBN.learning.parameter.mle import mle_estimator, mle_fast
from rpi_d3m_primitives.pyBN.classes.empiricaldistribution import EmpiricalDistribution
def BDe(bn, data, ess=1, ed=None):
"""
Unique Bayes... | /rpi_d3m_primitives-0.2.9.tar.gz/rpi_d3m_primitives-0.2.9/rpi_d3m_primitives/pyBN/learning/structure/score/bayes_scores.py | 0.883123 | 0.626153 | bayes_scores.py | pypi |
from __future__ import division
__author__ = """Nicholas Cullen <ncullen.th@dartmouth.edu>"""
import numpy as np
def bayes_estimator(bn, data, equiv_sample=None, prior_dict=None, nodes=None):
"""
Bayesian Estimation method of parameter learning.
This method proceeds by either 1) assuming a uniform prior
over th... | /rpi_d3m_primitives-0.2.9.tar.gz/rpi_d3m_primitives-0.2.9/rpi_d3m_primitives/pyBN/learning/parameter/bayes.py | 0.802942 | 0.641914 | bayes.py | pypi |
from __future__ import division
__author__ = """Nicholas Cullen <ncullen.th@dartmouth.edu>"""
import numpy as np
def mle_fast(bn, data, nodes=None, counts=False, np=False):
"""
Maximum Likelihood estimation that is about 100 times as
fast as the original mle_estimator function - but returns
the same result
"""
... | /rpi_d3m_primitives-0.2.9.tar.gz/rpi_d3m_primitives-0.2.9/rpi_d3m_primitives/pyBN/learning/parameter/mle.py | 0.437343 | 0.473109 | mle.py | pypi |
import os, sys
import typing
import scipy.io
import numpy as np
from sklearn import preprocessing
from common_primitives import utils
from d3m import container
from d3m.metadata import base as metadata_base
from d3m.metadata import hyperparams
from d3m.metadata import params
from d3m.primitive_interfaces.supervised_le... | /rpi_d3m_primitives-0.2.9.tar.gz/rpi_d3m_primitives-0.2.9/rpi_d3m_primitives/featSelect/JMIplus.py | 0.439988 | 0.362489 | JMIplus.py | pypi |
import numpy as np
from rpi_d3m_primitives.featSelect.helperFunctions import find_probs
from scipy.stats import entropy
from sklearn import preprocessing
def findOptimalSplitPoint(min_val, max_val, ori_feat, label, incre_rate = 0.1):
hm_bins = round(1/incre_rate)
splits = np.linspace(min_val, max_val, hm_b... | /rpi_d3m_primitives-0.2.9.tar.gz/rpi_d3m_primitives-0.2.9/rpi_d3m_primitives/featSelect/discretization.py | 0.59561 | 0.474509 | discretization.py | pypi |
from sklearn.neighbors import KNeighborsRegressor, KNeighborsClassifier
from sklearn.metrics import mean_squared_error, accuracy_score
from sklearn.base import clone
from sklearn.metrics import f1_score
import numpy as np
#----------------------- PREDICTOR -----------------------
class Predictor:
""" Adds functionali... | /rpi_d3m_primitives-0.2.9.tar.gz/rpi_d3m_primitives-0.2.9/rpi_d3m_primitives/featSelect/Predictor.py | 0.833562 | 0.576125 | Predictor.py | pypi |
# Raspberry Pi Deep PanTilt
[](https://pypi.python.org/pypi/rpi-deep-pantilt)
<!-- [](https://travis-ci.org/leigh-johnson/rpi_deep_pantilt) -->
[:
FLOAT32_CLASSES = (
"FaceSSDMobileNetV2Float32",
"SSDMobileNetV3Float32",
)
UINT8_CLASSES = (
"FaceSSDMobileNetV2Int8",
"SSDMobileNetV3I... | /rpi_deep_pantilt-2.0.0rc0.tar.gz/rpi_deep_pantilt-2.0.0rc0/rpi_deep_pantilt/detect/registry.py | 0.531696 | 0.185338 | registry.py | pypi |
import collections
import logging
# lib
import numpy as np
import PIL.Image as Image
import PIL.ImageColor as ImageColor
import PIL.ImageDraw as ImageDraw
import PIL.ImageFont as ImageFont
import six
STANDARD_COLORS = [
"AliceBlue",
"Chartreuse",
"Aqua",
"Aquamarine",
"Azure",
"Beige",
"Bi... | /rpi_deep_pantilt-2.0.0rc0.tar.gz/rpi_deep_pantilt-2.0.0rc0/rpi_deep_pantilt/detect/util/visualization.py | 0.802401 | 0.389895 | visualization.py | pypi |
import logging
# Lib
import tensorflow as tf
from google.protobuf import text_format
# app
from rpi_deep_pantilt.detect.util import string_int_label_map_pb2
def convert_label_map_to_categories(label_map, max_num_classes, use_display_name=True):
"""Given label map proto returns categories list compatible with ev... | /rpi_deep_pantilt-2.0.0rc0.tar.gz/rpi_deep_pantilt-2.0.0rc0/rpi_deep_pantilt/detect/util/label.py | 0.857723 | 0.33039 | label.py | pypi |
import tensorflow as tf
from rpi_deep_pantilt import __path__ as rpi_deep_pantilt_path
from rpi_deep_pantilt.detect.custom.base_predictors import (
TFLiteDetectionPostProcessPredictor,
)
class FaceSSDMobileNetV2EdgeTPU(TFLiteDetectionPostProcessPredictor):
"""
Model source: https://github.com/tensorflow/... | /rpi_deep_pantilt-2.0.0rc0.tar.gz/rpi_deep_pantilt-2.0.0rc0/rpi_deep_pantilt/detect/pretrained/api_v2/facessd_mobilenet_v2.py | 0.785966 | 0.292614 | facessd_mobilenet_v2.py | pypi |
import tensorflow as tf
from rpi_deep_pantilt import __path__ as rpi_deep_pantilt_path
from rpi_deep_pantilt.detect.custom.base_predictors import (
TFLiteDetectionPostProcessPredictor,
)
class SSDMobileNetV3EdgeTPU(TFLiteDetectionPostProcessPredictor):
"""
Model source: https://github.com/tensorflow/mode... | /rpi_deep_pantilt-2.0.0rc0.tar.gz/rpi_deep_pantilt-2.0.0rc0/rpi_deep_pantilt/detect/pretrained/api_v2/ssd_mobilenet_v3_coco.py | 0.824073 | 0.386821 | ssd_mobilenet_v3_coco.py | pypi |
import os
from typing import NamedTuple, Union, List, Sequence, Any
from typing import TypeVar
import scipy.io
import numpy as np
from d3m_types.sequence import ndarray
from primitive_interfaces.supervised_learning import SupervisedLearnerPrimitiveBase
import rpi_featureSelection_matlab_tools
# These are just regular... | /rpi_featureSelection_matlab_tools-1.0.3.tar.gz/rpi_featureSelection_matlab_tools-1.0.3/rpi_featureSelection_matlab_tools/STMBPlusSelector.py | 0.655997 | 0.635901 | STMBPlusSelector.py | pypi |
import os
from typing import NamedTuple, Union, List, Sequence, Any
from typing import TypeVar
import scipy.io
import numpy as np
from d3m_types.sequence import ndarray
from primitive_interfaces.supervised_learning import SupervisedLearnerPrimitiveBase
import rpi_featureSelection_matlab_tools
# These are just regular... | /rpi_featureSelection_matlab_tools-1.0.3.tar.gz/rpi_featureSelection_matlab_tools-1.0.3/rpi_featureSelection_matlab_tools/JMISelector.py | 0.654674 | 0.657002 | JMISelector.py | pypi |
import os
from typing import NamedTuple, Union, List, Sequence, Any
from typing import TypeVar
import scipy.io
import numpy as np
from d3m_types.sequence import ndarray
from primitive_interfaces.supervised_learning import SupervisedLearnerPrimitiveBase
import rpi_featureSelection_matlab_tools
# These are just regular... | /rpi_featureSelection_matlab_tools-1.0.3.tar.gz/rpi_featureSelection_matlab_tools-1.0.3/rpi_featureSelection_matlab_tools/STMBSelector.py | 0.548674 | 0.589657 | STMBSelector.py | pypi |
import os
from typing import NamedTuple, Union, List, Sequence, Any
from typing import TypeVar
import scipy.io
import numpy as np
from d3m_types.sequence import ndarray
from primitive_interfaces.supervised_learning import SupervisedLearnerPrimitiveBase
import rpi_featureSelection_matlab_tools
# These are just regular... | /rpi_featureSelection_matlab_tools-1.0.3.tar.gz/rpi_featureSelection_matlab_tools-1.0.3/rpi_featureSelection_matlab_tools/IPCMBSelector.py | 0.651466 | 0.634826 | IPCMBSelector.py | pypi |
from __future__ import print_function, division
from RPi import GPIO
from greenhouse_database import GreenhouseDatabase
from datetime import datetime
from time import sleep, time
import math
from sys import exit
try:
import Adafruit_DHT
except ImportError:
print("Adafruit DHT library missing.")
exit(0)
GP... | /rpi-greenhouse-0.4.1.tar.gz/rpi-greenhouse-0.4.1/rpi_greenhouse/greenhouse.py | 0.55447 | 0.216156 | greenhouse.py | pypi |
from __future__ import print_function, division
from RPi import GPIO
from greenhouse_database import GreenhouseDatabase
from time import sleep
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
class GreenhouseIndicator(object):
LED_COLOURS = [
'white',
'red',
'blue',
'green',
]
... | /rpi-greenhouse-0.4.1.tar.gz/rpi-greenhouse-0.4.1/rpi_greenhouse/greenhouse_indicator.py | 0.812421 | 0.153137 | greenhouse_indicator.py | pypi |
import os
import os.path
class HardwarePWMException(Exception):
pass
class HardwarePWM:
"""
Control the hardware PWM on the Raspberry Pi. Need to first add `dtoverlay=pwm-2chan` to `/boot/config.txt`.
pwm0 is GPIO pin 18 is physical pin 12
pwm1 is GPIO pin 19 is physical pin 13
Example
... | /rpi_hardware_pwm-0.1.4-py3-none-any.whl/rpi_hardware_pwm/__init__.py | 0.596081 | 0.205635 | __init__.py | pypi |
import numpy as np
class Buffer:
"""
Implenets a circular queue, but optimized around inserting and removing
chunks of data at a time. This makes all the indexing logic suprisingly
intricate but hey, its fast. Necessary because python isnt's well know
for its speed in loops all the iterative logi... | /rpi_intercom-0.0.19-py3-none-any.whl/rpi_intercom/circular_buffer.py | 0.68721 | 0.47658 | circular_buffer.py | pypi |
from __future__ import annotations
import dataclasses
from typing import Callable
import threading
class MissingGPIOLibraryError(Exception):
pass
try:
from RPi import GPIO as gpio
except ImportError:
raise MissingGPIOLibraryError(
"Could not import RPi.GPIO. If this code is running on a raspber... | /rpi_ky_040-0.1.0-py3-none-any.whl/rpi_ky_040/_ky_040.py | 0.777131 | 0.178992 | _ky_040.py | pypi |
from smbus import SMBus
from time import sleep
ALIGN_FUNC = {
'left': 'ljust',
'right': 'rjust',
'center': 'center'}
CLEAR_DISPLAY = 0x01
ENABLE_BIT = 0b00000100
LINES = {
1: 0x80,
2: 0xC0,
3: 0x94,
4: 0xD4}
LCD_BACKLIGHT = 0x08
LCD_NOBACKLIGHT = 0x00
class LCD(object):
def __init__(... | /rpi-lcd-0.0.3.tar.gz/rpi-lcd-0.0.3/rpi_lcd/__init__.py | 0.45423 | 0.152631 | __init__.py | pypi |
import io
import time
import typing
import gpiozero
from mates.controller import MatesController
from mates.data import *
from mates.constants import *
from mates.commands import MatesCommand
class RPiMatesController(MatesController):
"""
A class representing the Raspberry Pi Python Mates Serial controller.
... | /rpi-mates-controller-1.0.2.tar.gz/rpi-mates-controller-1.0.2/src/rpi_mates/controller.py | 0.610802 | 0.282388 | controller.py | pypi |
import logging
import re
from enum import Enum
from fractions import Fraction
from rpi_metar.leds import GREEN, RED, BLUE, MAGENTA, YELLOW, BLACK, ORANGE
log = logging.getLogger(__name__)
class FlightCategory(Enum):
VFR = GREEN
IFR = RED
MVFR = BLUE
LIFR = MAGENTA
UNKNOWN = YELLOW
OFF = BLACK... | /rpi_metar-0.4.1.tar.gz/rpi_metar-0.4.1/rpi_metar/wx.py | 0.680029 | 0.188324 | wx.py | pypi |
from RPi import GPIO
import logging
log = logging.getLogger(__name__)
# The two pins that the encoder uses (BCM numbering).
GPIO_A = 23
GPIO_B = 25
class RotaryEncoder:
def __init__(self, callback, gpio_a=GPIO_A, gpio_b=GPIO_B):
self.last_gpio = None
self.gpio_a = gpio_a
self.gpio_b = ... | /rpi_metar-0.4.1.tar.gz/rpi_metar-0.4.1/rpi_metar/encoder.py | 0.597256 | 0.168823 | encoder.py | pypi |
import csv
import logging
import re
import requests
import time
from pkg_resources import resource_filename
from retrying import retry
from xmltodict import parse as parsexml
log = logging.getLogger(__name__)
def chunks(l, n):
"""Yield successive n-sized chunks from l."""
for i in range(0, len(l), n):
... | /rpi_metar-0.4.1.tar.gz/rpi_metar-0.4.1/rpi_metar/sources.py | 0.625896 | 0.213931 | sources.py | pypi |
import smbus
import struct
class PiUSV:
"""
Driver for reading status flags and parameters from RPI USV+ Raspberry Pi - USV+.
https://www.reichelt.de/raspberry-pi-usv-rpi-usv-p169883.html
"""
status_definition = {
'usb_power': 0x01,
'external_power': 0x02,
'battery_low': 0... | /rpi-piusv-0.1.0.tar.gz/rpi-piusv-0.1.0/rpi_piusv.py | 0.561936 | 0.452113 | rpi_piusv.py | pypi |
from __future__ import annotations
from enum import Enum
from typing import Callable
from raspi_gpio import GPIO
from .pin_manager import tickables, managers
class LedState(Enum):
off = 0
on = 1
blink = 2
fast_blink = 3
class LedManager:
_get_pin_state: Callable[[], LedState]
_last_l... | /rpi_reactive_gpio-0.1.8.tar.gz/rpi_reactive_gpio-0.1.8/rpi_reactive_gpio/leds.py | 0.823009 | 0.289924 | leds.py | pypi |
import os
import re
import dateutil
import matplotlib as mpl
mpl.use('tkagg')
import matplotlib.pyplot as plt
import matplotlib.dates as md
# My modules
from . import RpiTempmonWork as Work
class MatplotGraph(object):
"""
class with 6 methods to display graphs with matplotlib
Methods:
(1) init: pass
... | /rpi_tempmon.py-2.3.tar.gz/rpi_tempmon.py-2.3/rpiTempMod/RpiTempmonGraph.py | 0.534127 | 0.402304 | RpiTempmonGraph.py | pypi |
import logging
from datetime import datetime, timedelta
from collections import deque
from threading import Lock
def _clamp(value, minvalue, maxvalue):
if value < minvalue:
return minvalue
elif value > maxvalue:
return maxvalue
else:
return value
class Measurement():
def __init... | /rpi-thingamajigs-0.6.202302122050.tar.gz/rpi-thingamajigs-0.6.202302122050/rpithingamajigs/temperature_sensor/temperature_sensor.py | 0.892796 | 0.328341 | temperature_sensor.py | pypi |
import RPi.GPIO as GPIO
class tlc59711:
def __init__(self, clkPin, datPin, numDrivers=1, globalBrightness=0x7F):
# pins
(self.__clk, self.__dat) = (clkPin, datPin)
# flags
self.__BCr = self.__BCg = self.__BCb = globalBrightness
for p in ([self.__dat, self.__clk]):
... | /rpi-tlc59711-1.0.0.tar.gz/rpi-tlc59711-1.0.0/tlc59711/tlc59711.py | 0.417628 | 0.178848 | tlc59711.py | pypi |
from time import sleep
from wiringpi import wiringPiSetupGpio, pinMode, digitalRead, digitalWrite, GPIO
wiringPiSetupGpio()
TM1637_CMD1 = 0x40 # 0x40 data command
TM1637_CMD2 = 0xc0 # 0xC0 address command
TM1637_CMD3 = 0x80 # 0x80 display control command
TM1637_DSP_ON = 0x08 # 0x08 display on
TM1637_DELAY = 0.00... | /rpi_tm1637-1.3.4-py3-none-any.whl/tm1637.py | 0.595257 | 0.225907 | tm1637.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import click
import collections
import logging
import numpy as np
import os
from caffe2.proto import caffe2_pb2
from caffe2.python import core
import caffe2.contrib.tens... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/contrib/tensorboard/tensorboard.py | 0.555073 | 0.161816 | tensorboard.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import cPickle as pickle
from collections import OrderedDict
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace, core, scope
im... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/contrib/playground/checkpoint.py | 0.516108 | 0.183392 | checkpoint.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
logging.basicConfig()
log = logging.getLogger("AnyExp")
log.setLevel(logging.DEBUG)
# For more depths, add the block config here
BLOCK_CONFIG = {
18: ... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/contrib/playground/resnetdemo/explicit_resnet_forward.py | 0.618665 | 0.336767 | explicit_resnet_forward.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, dataio
from caffe2.python.task import TaskGroup
import logging
logger = logging.getLogger(__name__)
class _QueueReader(dataio.Reader)... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/queue_util.py | 0.618204 | 0.158597 | queue_util.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import hsm_pb2
'''
Hierarchical softmax utility methods that can be used to:
1) create TreeProto structure given list of word_ids or NodeProtos... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/hsm_util.py | 0.663342 | 0.207215 | hsm_util.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.proto import caffe2_pb2
from caffe2.python.onnx.workspace import Workspace
from collections import namedtuple
from s... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/functional.py | 0.668988 | 0.186465 | functional.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from future.utils import viewitems, viewkeys
def recurrent_net(
net, cell_net, inputs, initial_cell_inputs,
lin... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/recurrent.py | 0.695958 | 0.422534 | recurrent.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import caffe2.python._import_c_extension as C
from caffe2.python import core
from caffe2.proto import caffe2_pb2
import os
from subprocess import Popen, PIPE
import errno... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/nomnigraph.py | 0.53607 | 0.162048 | nomnigraph.py | pypi |
from __future__ import absolute_import, division, print_function, unicode_literals
from collections import defaultdict
import caffe2.python.nomnigraph as ng
from caffe2.python import core, utils
def transpose_network(nn):
"""
Convert all Convolutions operators which are in the NCHW order
to NHWC order a... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/nomnigraph_transformations.py | 0.827689 | 0.472014 | nomnigraph_transformations.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto.caffe2_pb2 import OperatorDef, NetDef
from caffe2.python.checkpoint import Job
from caffe2.python.core import Net, ExecutionStep, Plan
from caffe2.pytho... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/net_printer.py | 0.697506 | 0.213972 | net_printer.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.python.dataio import Reader, Writer
from caffe2.python.schema import (
Struct, from_blob_list, from_column_list,... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/dataset.py | 0.842637 | 0.223801 | dataset.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, context
from caffe2.python.task import Task, TaskGroup
from caffe2.python.control_ops_util import add_if_op, add_while_op
@context.defin... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/net_builder.py | 0.734881 | 0.152852 | net_builder.py | pypi |
import numpy as np
from matplotlib import cm, pyplot
def ChannelFirst(arr):
"""Convert a HWC array to CHW."""
ndim = arr.ndim
return arr.swapaxes(ndim - 1, ndim - 2).swapaxes(ndim - 2, ndim - 3)
def ChannelLast(arr):
"""Convert a CHW array to HWC."""
ndim = arr.ndim
return arr.swapaxes(ndim ... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/visualize.py | 0.844473 | 0.6973 | visualize.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from caffe2.python import core, workspace, net_drawer
from caffe2.proto import caffe2_pb2
def getGradientForOp(op):
return core.GradientRegistry... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/gradient_checker.py | 0.763087 | 0.499451 | gradient_checker.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, scope, workspace
from caffe2.python.helpers.db_input import db_input
from caffe2.python.modeling import parameter_info
from caffe2.python.... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/model_helper.py | 0.759939 | 0.191328 | model_helper.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
def get_external_blob_names(net, lexical_scope):
"""
Returns a set of blobs a given net depends on and a set of
output blobs ... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/control_ops_util.py | 0.687525 | 0.271258 | control_ops_util.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from caffe2.python.dataio import Reader
from caffe2.python.schema import Scalar, Struct, data_type_for_dtype
class TextFileReader(Reader):... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/text_file_reader.py | 0.855021 | 0.239183 | text_file_reader.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import subprocess
import sys
class Trie(object):
"""A simple class that represents a Trie."""
def __init__(self, name):
"""Initializes a... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/binarysize.py | 0.68763 | 0.318287 | binarysize.py | pypi |
import numpy as np
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace
def OnGPU(gpu_id):
"""A utility function that returns a device option protobuf of the
specified gpu id.
"""
device_option = caffe2_pb2.DeviceOption()
device_option.device_type = workspace.GpuDeviceType
devi... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/muji.py | 0.602179 | 0.424233 | muji.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import networkx as nx
import collections
import time
import copy
from caffe2.python import workspace, core
from caffe2.proto import caffe2_pb2
import enum
import logging
... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/memonger.py | 0.548432 | 0.272896 | memonger.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import logging
from caffe2.python import core, context
from caffe2.python.net_builder import ops
from caffe2.python.task import (
final_output,
Node,
... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/checkpoint.py | 0.718496 | 0.315591 | checkpoint.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import functools
from caffe2.python import brew, rnn_cell
class GRUCell(rnn_cell.RNNCell):
def __init__(
self,
input_size,
hidden_size,
... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/gru_cell.py | 0.874023 | 0.309141 | gru_cell.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.python.task import Cluster, Task, TaskGroup, WorkspaceType
class CompiledRunnable(object):
""" Wrapper for co... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/session.py | 0.587707 | 0.290503 | session.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, scope, workspace, _import_c_extension as C
from caffe2.python.dataio import Reader
from caffe2.python.dataset import Dataset
from caffe2.p... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/db_file_reader.py | 0.845337 | 0.184768 | db_file_reader.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace, core, utils, rnn_cell, model_helper
from caffe2.python import recurrent
import argparse
import n... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/lstm_benchmark.py | 0.718989 | 0.272962 | lstm_benchmark.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import string
import argparse
import numpy as np
from caffe2.python.model_helper import ModelHelper
from caffe2.python.predictor import mobile_exporter
from caffe2.pyt... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/benchmark_generator.py | 0.624179 | 0.236968 | benchmark_generator.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace, core, utils, model_helper
import argparse
import numpy as np
import time
import logging
loggin... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/embedding_generation_benchmark.py | 0.750553 | 0.207978 | embedding_generation_benchmark.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from caffe2.python.schema import Field, Struct, from_blob_list
import numpy as np
import time
class Reader(object):
"""
Reader is... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/dataio.py | 0.916687 | 0.420659 | dataio.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
'''
This module provides a python-land multithreaded data input mechanism
for Caffe2 nets.
Basic usage is as follows:
coordinator = data_workers.init_data_input_work... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/data_workers.py | 0.747155 | 0.414129 | data_workers.py | pypi |
import numpy as np
import copy
from caffe2.python import workspace
from caffe2.python.core import InferOpBlobDevicesAsDict
from future.utils import viewitems
class DeviceChecker(object):
"""A device checker in Python to check consistency across multiple devices.
This is not the most efficient way to check de... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/device_checker.py | 0.441312 | 0.434341 | device_checker.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from caffe2.python.dataio import Reader, Writer
from caffe2.python.schema import (
Struct, Field, from_column_list)
class _QueueReade... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/record_queue.py | 0.627267 | 0.169337 | record_queue.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import brew
class AttentionType:
Regular, Recurrent, Dot, SoftCoverage = tuple(range(4))
def s(scope, name):
# We have to manually scope du... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/attention.py | 0.902443 | 0.193623 | attention.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
from caffe2.python import core
from caffe2.python.db_file_reader import DBFileReader
from caffe2.python.pipeline import pipe
from caffe2.python.task import Clu... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/cached_reader.py | 0.8119 | 0.222362 | cached_reader.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
"""
The following methods are various utility methods for using the Tensor-Train
decomposition, or TT-decomposition introduced by I. V. Oseledets (2011) in his
paper (http://epubs.siam.org/d... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/tt_core.py | 0.888305 | 0.700959 | tt_core.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, scope
from caffe2.proto import caffe2_pb2
def _get_weights(model, namescope=None):
if namescope is None:
namescope = scope.C... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/helpers/train.py | 0.807309 | 0.161386 | train.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from caffe2.python.modeling import initializers
from caffe2.python.modeling.parameter_info import ParameterTags
def _ConvBase(
model,
... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/helpers/conv.py | 0.681409 | 0.247192 | conv.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import scope
from caffe2.python.modeling.parameter_info import ParameterTags
from caffe2.proto import caffe2_pb2
from caffe2.python.modeling import ini... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/helpers/normalization.py | 0.817028 | 0.201774 | normalization.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from caffe2.python.modeling import initializers
from caffe2.python.modeling.parameter_info import ParameterTags
def _FC_or_packed_FC(
... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/helpers/fc.py | 0.737158 | 0.234571 | fc.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import caffe2_pb2
from onnx.backend.base import namedtupledict
from caffe2.python.onnx.workspace import Workspace
import caffe2.python._import_c_extens... | /rpi_torch-1.5.0-cp37-cp37m-linux_armv7l.whl/caffe2/python/onnx/helper.py | 0.60288 | 0.264724 | helper.py | pypi |
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