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 |
|---|---|---|---|---|---|
import networkx as nx
"""Test completion states"""
TEST_PASS = 1
TEST_FAIL = 0
TEST_NOT_RUN = -1
class TestDefinition:
"""
Defines a single validation test to be run, ideally run as part of a suite.
"""
def __init__(self, title, test_function, dependencies=None, required_context=None):
"""
... | /saml_reader-0.0.6.tar.gz/saml_reader-0.0.6/saml_reader/validation/graph_suite.py | 0.856752 | 0.64079 | graph_suite.py | pypi |
import re
from datetime import datetime
from saml_reader.validation.graph_suite import TestDefinition, TestSuite, TEST_FAIL
from saml_reader.validation.input_validation import MongoFederationConfig, UserInputValidator
class MongoSamlValidator:
"""
Interprets SAML and certificate data and compares it against ... | /saml_reader-0.0.6.tar.gz/saml_reader-0.0.6/saml_reader/validation/mongo.py | 0.767385 | 0.61231 | mongo.py | pypi |
import re
from datetime import datetime
class _NullUserInput:
"""
Class that represents an empty user input.
"""
pass
class UserInputValidator:
"""
Validates user input or SAML data against a regular expression and/or an arbitrary function.
"""
def __init__(self):
"""
... | /saml_reader-0.0.6.tar.gz/saml_reader-0.0.6/saml_reader/validation/input_validation.py | 0.900912 | 0.459501 | input_validation.py | pypi |
from datetime import datetime
from dash.dependencies import Input, Output, State
from dash.exceptions import PreventUpdate
from saml_reader.validation.input_validation import MongoFederationConfig
from saml_reader.cli import run_analysis, OutputStream
from saml_reader.web.app import app
def submit_analysis_to_backe... | /saml_reader-0.0.6.tar.gz/saml_reader-0.0.6/saml_reader/web/callbacks/analyze.py | 0.764364 | 0.288731 | analyze.py | pypi |
from dash import dcc, html
def build_layout():
"""
Builds layout for page.
Returns:
an HTML component such as html.Div
"""
data_info_layout = html.Div([
html.Label(
children="Select Data Type:",
style={
'display': 'inline-block',
... | /saml_reader-0.0.6.tar.gz/saml_reader-0.0.6/saml_reader/web/layouts/analyze.py | 0.703244 | 0.222341 | analyze.py | pypi |
AWS SAML Authorization Script.
==============================
This is a tool to authenticate to Amazon Web Services using the ADFS
SAML provider and create temporary tokens for use with AWS API clients.
Two approaches
--------------
The code is packaged as a Python module; if you have a working Python
installation o... | /samlkeygen-1.4.1.tar.gz/samlkeygen-1.4.1/README.rst | 0.861553 | 0.682441 | README.rst | pypi |
# AWS SAML Authorization Script.
This is a tool to authenticate to Amazon Web Services using the ADFS SAML provider
and create temporary tokens for use with AWS API clients.
## Two approaches
The code is packaged as a Python module; if you have a working Python
installation of a recent enough vintage, you should be ... | /samlkeygen-1.4.1.tar.gz/samlkeygen-1.4.1/README.md | 0.408749 | 0.776792 | README.md | pypi |
def sammon(x, n = 2, display = 0, inputdist = 'raw', maxhalves = 20, maxiter = 500, tolfun = 1e-9, init = 'pca'):
import numpy as np
from scipy.spatial.distance import cdist
X = x
# Create distance matrix unless given by parameters
if inputdist == 'distance':
xD = X
else:
xD ... | /sammon-mapping-0.0.2.tar.gz/sammon-mapping-0.0.2/sammon/sammon.py | 0.601711 | 0.586819 | sammon.py | pypi |
import os
import datetime
from sqlalchemy import create_engine, Table, Column, Integer, String, Text, \
MetaData, DateTime
from sqlalchemy.orm import mapper, sessionmaker
from sqlalchemy.sql import default_comparator
class ClientDatabase:
"""
Класс - оболочка для работы с базой данных клиента.
Исполь... | /samoryad_messenger_client-0.0.2.tar.gz/samoryad_messenger_client-0.0.2/client/database.py | 0.400984 | 0.259109 | database.py | pypi |
import datetime
from sqlalchemy import create_engine, Table, Column, Integer, String, \
MetaData, ForeignKey, DateTime, Text
from sqlalchemy.orm import mapper, sessionmaker
from sqlalchemy.sql import default_comparator
class ServerStorage:
"""
Класс - оболочка для работы с базой данных сервера.
Испол... | /samoryad_messenger_server-0.0.2.tar.gz/samoryad_messenger_server-0.0.2/server/database.py | 0.422266 | 0.162314 | database.py | pypi |
__version__ = "0.0.1-alpha.0"
__repo__ = "https://github.com/adafruit/Adafruit_Blinka.git"
import time
import threading
from collections import deque
import digitalio
class Event:
"""A key transition event."""
def __init__(self, key_number=0, pressed=True):
"""
Create a key transition event... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/keypad.py | 0.93603 | 0.456289 | keypad.py | pypi |
__version__ = "0.0.1-alpha.0"
__repo__ = "https://github.com/adafruit/Adafruit_Blinka.git"
import adafruit_platformdetect.constants.boards as ap_board
from adafruit_blinka import Lockable, agnostic
# pylint: disable=import-outside-toplevel,too-many-arguments
class I2C(Lockable):
"""Bitbang/Software I2C impleme... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/bitbangio.py | 0.450359 | 0.183887 | bitbangio.py | pypi |
class Enum:
"""
Object supporting CircuitPython-style of static symbols
as seen with Direction.OUTPUT, Pull.UP
"""
def __repr__(self):
"""
Assumes instance will be found as attribute of own class.
Returns dot-subscripted path to instance
(assuming absolute import of ... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/__init__.py | 0.849332 | 0.318618 | __init__.py | pypi |
import os
try:
from microcontroller.pin import pwmOuts
except ImportError:
raise RuntimeError("No PWM outputs defined for this board") from ImportError
# pylint: disable=unnecessary-pass
class PWMError(IOError):
"""Base class for PWM errors."""
pass
# pylint: enable=unnecessary-pass
class PWMOut:... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/am335x/sysfs_pwmout.py | 0.754644 | 0.234692 | sysfs_pwmout.py | pypi |
import os
from time import sleep
from errno import EACCES
try:
from microcontroller.pin import pwmOuts
except ImportError:
raise RuntimeError("No PWM outputs defined for this board.") from ImportError
# pylint: disable=unnecessary-pass, too-many-instance-attributes
class PWMError(IOError):
"""Base clas... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/rockchip/PWMOut.py | 0.679179 | 0.273483 | PWMOut.py | pypi |
from .rp2040_u2if import rp2040_u2if
class Pin:
"""A basic Pin class for use with RP2040 with u2if firmware."""
# pin modes
IN = 0
OUT = 1
# pin values
LOW = 0
HIGH = 1
# pin pulls
PULL_NONE = 0
PULL_UP = 1
PULL_DOWN = 2
def __init__(self, pin_id=None):
self.i... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/rp2040_u2if/pin.py | 0.579995 | 0.213767 | pin.py | pypi |
from .rp2040_u2if import rp2040_u2if
class I2C:
"""I2C Base Class for RP2040 u2if"""
def __init__(self, index, *, frequency=100000):
self._index = index
rp2040_u2if.i2c_set_port(self._index)
rp2040_u2if.i2c_configure(frequency)
def scan(self):
"""Perform an I2C Device Sca... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/rp2040_u2if/i2c.py | 0.617743 | 0.278727 | i2c.py | pypi |
from .rp2040_u2if import rp2040_u2if
# pylint: disable=protected-access, no-self-use
class SPI:
"""SPI Base Class for RP2040 u2if"""
MSB = 0
def __init__(self, index, *, baudrate=100000):
self._index = index
self._frequency = baudrate
rp2040_u2if.spi_set_port(self._index)
... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/rp2040_u2if/spi.py | 0.7324 | 0.22154 | spi.py | pypi |
from greatfet import GreatFET
try:
from microcontroller.pin import pwmOuts
except ImportError:
raise RuntimeError("No PWM outputs defined for this board") from ImportError
# pylint: disable=unnecessary-pass
class PWMError(IOError):
"""Base class for PWM errors."""
pass
# pylint: enable=unnecessary... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/nxp_lpc4330/pwmout.py | 0.877135 | 0.350671 | pwmout.py | pypi |
from greatfet import GreatFET
class SPI:
"""Custom I2C Class for NXP LPC4330"""
MSB = 0
def __init__(self):
self._gf = GreatFET()
self._frequency = None
self.buffer_size = 255
self._mode = 0
self._spi = None
self._presets = {
204000: (100, 9),
... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/nxp_lpc4330/spi.py | 0.84367 | 0.363449 | spi.py | pypi |
from microcontroller import Pin
GP0 = Pin(0)
GP1 = Pin(1)
GP2 = Pin(2)
GP3 = Pin(3)
GP4 = Pin(4)
GP5 = Pin(5)
GP6 = Pin(6)
GP7 = Pin(7)
GP8 = Pin(8)
GP9 = Pin(9)
GP10 = Pin(10)
GP11 = Pin(11)
GP12 = Pin(12)
GP13 = Pin(13)
GP14 = Pin(14)
GP15 = Pin(15)
GP16 = Pin(16)
GP17 = Pin(17)
GP18 = Pin(18)
GP19 = Pin(19)
GP20 =... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/rp2040/pin.py | 0.447702 | 0.368037 | pin.py | pypi |
from machine import SPI as _SPI
from machine import Pin
from microcontroller.pin import spiPorts
# pylint: disable=protected-access, no-self-use
class SPI:
"""Custom SPI Class for RP2040"""
def __init__(self, clock, MOSI=None, MISO=None, *, baudrate=1000000):
self._frequency = baudrate
for por... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/rp2040/spi.py | 0.677261 | 0.187765 | spi.py | pypi |
try:
import gpiod
except ImportError:
raise ImportError(
"libgpiod Python bindings not found, please install and try again! See "
"https://github.com/adafruit/Raspberry-Pi-Installer-Scripts/blob/master/libgpiod.sh"
) from ImportError
class Pin:
"""Pins dont exist in CPython so...lets m... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/generic_linux/libgpiod_pin.py | 0.610105 | 0.182007 | libgpiod_pin.py | pypi |
import os
from adafruit_blinka import ContextManaged
try:
from microcontroller.pin import analogOuts
except ImportError:
raise RuntimeError("No Analog Outputs defined for this board") from ImportError
class AnalogOut(ContextManaged):
"""Analog Output Class"""
# Sysfs paths
_sysfs_path = "/sys/bu... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/generic_linux/sysfs_analogout.py | 0.703957 | 0.173954 | sysfs_analogout.py | pypi |
import os
from adafruit_blinka import ContextManaged
try:
from microcontroller.pin import analogIns
except ImportError:
raise RuntimeError("No Analog Inputs defined for this board") from ImportError
class AnalogIn(ContextManaged):
"""Analog Input Class"""
# Sysfs paths
_sysfs_path = "/sys/bus/ii... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/generic_linux/sysfs_analogin.py | 0.661486 | 0.212763 | sysfs_analogin.py | pypi |
import Adafruit_PureIO.spi as spi
from adafruit_blinka.agnostic import detector
class SPI:
"""SPI Class"""
MSB = 0
LSB = 1
CPHA = 1
CPOL = 2
baudrate = 100000
mode = 0
bits = 8
def __init__(self, portid):
if isinstance(portid, tuple):
self._spi = spi.SPI(devi... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/generic_linux/spi.py | 0.640186 | 0.22325 | spi.py | pypi |
try:
from microcontroller.pin import pwmOuts
except ImportError:
raise RuntimeError("No PWM outputs defined for this board") from ImportError
from microcontroller.pin import Pin
# pylint: disable=unnecessary-pass
class PWMError(IOError):
"""Base class for PWM errors."""
pass
# pylint: enable=unne... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/nova/pwmout.py | 0.837919 | 0.264637 | pwmout.py | pypi |
from adafruit_blinka.microcontroller.nova import Connection
class SPI:
"""Custom SPI Class for Binho Nova"""
MSB = 0
BUFFER_PAYLOAD_MAX_LENGTH = 64
WHR_PAYLOAD_MAX_LENGTH = 1024
def __init__(self, clock):
self._nova = Connection.getInstance()
self._nova.setNumericalBase(10)
... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/nova/spi.py | 0.724091 | 0.167287 | spi.py | pypi |
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM) # Use BCM pins D4 = GPIO #4
GPIO.setwarnings(False) # shh!
class Pin:
"""Pins dont exist in CPython so...lets make our own!"""
IN = 0
OUT = 1
LOW = 0
HIGH = 1
PULL_NONE = 0
PULL_UP = 1
PULL_DOWN = 2
id = None
_value = LOW
... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/bcm283x/pin.py | 0.480722 | 0.151843 | pin.py | pypi |
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM) # Use BCM pins D4 = GPIO #4
GPIO.setwarnings(False) # shh!
# pylint: disable=unnecessary-pass
class PWMError(IOError):
"""Base class for PWM errors."""
pass
# pylint: enable=unnecessary-pass
class PWMOut:
"""Pulse Width Modulation Output Class"""
... | /samourai-Adafruit-Blinka-0.0.1a0.tar.gz/samourai-Adafruit-Blinka-0.0.1a0/src/adafruit_blinka/microcontroller/bcm283x/pulseio/PWMOut.py | 0.863031 | 0.28626 | PWMOut.py | pypi |
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/adafruit/Adafruit_CircuitPython_DPS310.git"
# Common imports; remove if unused or pylint will complain
import math
from time import sleep
import adafruit_bus_device.i2c_device as i2c_device
from adafruit_register.i2c_struct import UnaryStruct, ROUnaryStruct
f... | /samourai-circuitpython-dps310-0.0.1b3.tar.gz/samourai-circuitpython-dps310-0.0.1b3/adafruit_dps310.py | 0.695441 | 0.397149 | adafruit_dps310.py | pypi |
# Python 2/3
try:
unicode = unicode
except NameError:
unicode = str
import re
GREEK = [
(u'?alpha', u'α'),
(u'?beta', u'β'),
(u'?gamma', u'γ'),
(u'?delta', u'δ'),
(u'?epsilon', u'ε'),
(u'?zeta', u'ζ'),
(u'?theta', u'θ'),
(u'?iota', u'ι'),
(u'?kappa', u'κ'),
(u'?lamb... | /samovar_py-0.6-py3-none-any.whl/samovar/scanner.py | 0.53777 | 0.327964 | scanner.py | pypi |
from samovar.ast import World, Scenario, Rule, Cond, Assert, Retract
from samovar.terms import Term, Var
from samovar.scanner import Scanner
# World ::= {Scenario}.
# Scenario ::= "scenario" Atom "{" {Import | Proposition | Rule | Goal} ["." | ","] "}".
# Import ::= "import" Atom.
# Goal ... | /samovar_py-0.6-py3-none-any.whl/samovar/parser.py | 0.630912 | 0.302211 | parser.py | pypi |
import socket
from samp_client.constants import *
from samp_client.exceptions import SampError, RconError, InvalidRconPassword, ConnectionError
from samp_client.models import ServerInfo, Rule, Client, ClientDetail, RConPlayer
from samp_client.utils import encode_bytes, decode_int, decode_string, build_rcon_command, par... | /samp-client-3.0.1.tar.gz/samp-client-3.0.1/samp_client/client.py | 0.600423 | 0.168532 | client.py | pypi |
import re
from samp_client.constants import ENCODING
from samp_client.models import ServerVar
VAR_PATTERN = re.compile(r'\s*'.join((
r'(?P<name>\w+)',
r'=',
r'(?P<value>.+?)',
r'\((?P<type>string|int|bool|float)\)',
r'(?P<read_only>\(read-only\))?',
)))
VAR_TYPES = {
'int': int,
'bool': b... | /samp-client-3.0.1.tar.gz/samp-client-3.0.1/samp_client/utils.py | 0.573081 | 0.457137 | utils.py | pypi |
import socket
from samp_py.constants import *
from samp_py.exceptions import SampError, RconError, InvalidRconPassword, ConnectionError
from samp_py.models import ServerInfo, Rule, Client, ClientDetail, RConPlayer
from samp_py.utils import encode_bytes, decode_int, decode_string, build_rcon_command, parse_server_var
c... | /samp_python-1.0.0-py3-none-any.whl/samp_py/client.py | 0.538012 | 0.162314 | client.py | pypi |
import re
from samp_py.constants import ENCODING
from samp_py.models import ServerVar
VAR_PATTERN = re.compile(r'\s*'.join((
r'(?P<name>\w+)',
r'=',
r'(?P<value>.+?)',
r'\((?P<type>string|int|bool|float)\)',
r'(?P<read_only>\(read-only\))?',
)))
VAR_TYPES = {
'int': int,
'bool': bool,
... | /samp_python-1.0.0-py3-none-any.whl/samp_py/utils.py | 0.584153 | 0.486636 | utils.py | pypi |
from __future__ import annotations
import struct
import random
from dataclasses import dataclass, field
import cchardet as chardet # type: ignore
import trio
# Assuming ratio between max and min ping can't be higher than this
MAX_LATENCY_VARIANCE = 5
def encode_codepage(string: str) -> bytes:
"""
Encode th... | /samp_query-0.5.0.tar.gz/samp_query-0.5.0/samp_query/__init__.py | 0.887917 | 0.537952 | __init__.py | pypi |
Sample
======
``sample`` is a command-line tool for sampling data from a large,
newline-separated dataset (typically a CSV-like file).
Installation
------------
``sample`` is distributed with ``pip``. Once you've installed ``pip``,
simply run::
> pip install sample-cli
and sample will be installed into your Py... | /sample-cli-0.0.1.tar.gz/sample-cli-0.0.1/README.rst | 0.96859 | 0.705075 | README.rst | pypi |
import argparse
from sys import stderr
from itertools import chain
from algorithms import reservoir_sample, approximate_sample, two_pass_sample
from file_input import FileInput
DEFAULT_FRACTION = 0.01
DEFAULT_SAMPLE_SIZE = 100
PERCENT = 100
def main():
parser = argparse.ArgumentParser(prog='sample', descripti... | /sample-cli-0.0.1.tar.gz/sample-cli-0.0.1/sample/main.py | 0.448426 | 0.157266 | main.py | pypi |
import os
import random
from typing import Annotated
import pandas as pd
import typer
from rich.console import Console
from rich.filesize import decimal as filesize_decimal
from rich.progress import Progress, SpinnerColumn, TextColumn, open
from rich.status import Status
from rich.table import Table
app = typer.Typer... | /sample_csv-1.0.1-py3-none-any.whl/sample_csv/main.py | 0.532425 | 0.206534 | main.py | pypi |
from random import randrange, choice, shuffle
from netaddr import *
from sample_data_utils.numeric import hexnum
NOT_NET = [10, 127, 172, 192, 169]
PRIVATE_NET = ['10.0.0.0/8', '172.16.0.0/12', '192.168.0.0/16']
DEDICATED_NET = ['100.64.0.0/10', ]
LOCAL_NET = ['169.254.0.0/16', '127.0.0.0/8']
NO_PUBLIC = PRIVATE_NET ... | /sample-data-utils-0.5.tar.gz/sample-data-utils-0.5/sample_data_utils/net.py | 0.737631 | 0.250569 | net.py | pypi |
import decimal
from random import choice, uniform
import sys
def amount(min=1, max=sys.maxsize, decimal_places=2):
"""
return a random floating number
:param min: minimum value
:param max: maximum value
:param decimal_places: decimal places
:return:
"""
q = '.%s1' % '0' * (decimal... | /sample-data-utils-0.5.tar.gz/sample-data-utils-0.5/sample_data_utils/money.py | 0.506347 | 0.382343 | money.py | pypi |
import random
from sample_data_utils.storage import load_data
from sample_data_utils.text import rtext
from sample_data_utils.utils import memoize
GENDER_MALE = 'm'
GENDER_FEMALE = 'f'
@memoize
def _get_firstnames(language, gender):
fn = load_data(language, "firstnames_%s.txt" % gender)
return fn
@memoize
... | /sample-data-utils-0.5.tar.gz/sample-data-utils-0.5/sample_data_utils/people.py | 0.577138 | 0.173796 | people.py | pypi |
from functools import wraps
from sample_data_utils.exception import MaxAttemptException
def infinite():
"""
auto inc generator
"""
i = 0
while 1:
yield i
i += 1
_sequence_counters = {}
def sequence(prefix, cache=None):
"""
generator that returns an unique string
... | /sample-data-utils-0.5.tar.gz/sample-data-utils-0.5/sample_data_utils/utils.py | 0.877082 | 0.26479 | utils.py | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /sample_distributions-0.1.tar.gz/sample_distributions-0.1/sample_distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
import os
import re
from collections import OrderedDict
from os.path import join
import numpy as np
from sample_factory.utils.utils import log
class ParamGenerator:
def __init__(self):
pass
def generate_params(self, randomize=True):
"""Supposed to be a generator (so should yield dicts of pa... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/launcher/run_description.py | 0.646572 | 0.369486 | run_description.py | pypi |
import multiprocessing
import os
from argparse import ArgumentParser
from os.path import join
from sample_factory.utils.utils import str2bool
def add_basic_cli_args(p: ArgumentParser):
p.add_argument("-h", "--help", action="store_true", help="Print the help message", required=False)
p.add_argument("--algo", ... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/cfg/cfg.py | 0.660172 | 0.337804 | cfg.py | pypi |
from typing import List
from signal_slot.signal_slot import EventLoop, EventLoopProcess
from sample_factory.algo.learning.learner_worker import init_learner_process
from sample_factory.algo.runners.runner import Runner
from sample_factory.algo.sampling.sampler import ParallelSampler
from sample_factory.algo.utils.con... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/algo/runners/runner_parallel.py | 0.746046 | 0.16043 | runner_parallel.py | pypi |
from __future__ import annotations
from typing import Dict, List, Optional, Tuple
import torch
from sample_factory.algo.utils.env_info import EnvInfo
from sample_factory.cfg.configurable import Configurable
from sample_factory.utils.attr_dict import AttrDict
from sample_factory.utils.gpu_utils import gpus_for_proces... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/algo/sampling/sampling_utils.py | 0.81582 | 0.237267 | sampling_utils.py | pypi |
from abc import ABC
from typing import Callable, Dict, List
from signal_slot.queue_utils import get_queue
from signal_slot.signal_slot import BoundMethod, EventLoop, EventLoopObject, EventLoopProcess, signal
from sample_factory.algo.sampling.inference_worker import InferenceWorker, init_inference_process
from sample_... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/algo/sampling/sampler.py | 0.874801 | 0.161883 | sampler.py | pypi |
import sys
from typing import Optional
import torch
from torch import Tensor
from sample_factory.algo.utils.multiprocessing_utils import get_lock, get_mp_ctx
from sample_factory.model.actor_critic import create_actor_critic
from sample_factory.utils.timing import Timing
from sample_factory.utils.utils import log
cl... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/algo/utils/model_sharing.py | 0.84759 | 0.236693 | model_sharing.py | pypi |
import math
from typing import Callable, Optional, Tuple
import torch
from torch.optim import Optimizer
class Lamb(Optimizer):
def __init__(
self,
params,
bias_correction=True,
lr=1e-3,
betas=(0.9, 0.999),
eps=1e-6,
weight_decay=1e-4,
min_trust=0.01... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/algo/utils/optimizers.py | 0.845496 | 0.273344 | optimizers.py | pypi |
from __future__ import annotations
from typing import Dict, Optional, Sequence, Union
import numpy as np
import torch
from torch import Tensor
from torch.nn import Module
from sample_factory.algo.utils.env_info import EnvInfo
from sample_factory.algo.utils.tensor_dict import TensorDict
from sample_factory.algo.utils... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/algo/utils/rl_utils.py | 0.933294 | 0.682349 | rl_utils.py | pypi |
from typing import Dict, Final, List, Optional, Union
import gymnasium as gym
import torch
import torch.nn as nn
from torch import Tensor
from torch.jit import RecursiveScriptModule, ScriptModule
from sample_factory.utils.utils import log
_NORM_EPS = 1e-5
_DEFAULT_CLIP = 5.0
# noinspection PyAttributeOutsideInit,N... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/algo/utils/running_mean_std.py | 0.932515 | 0.524821 | running_mean_std.py | pypi |
import math
import gymnasium as gym
import numpy as np
import torch
from torch import Tensor
from torch.distributions import Independent, Normal
from torch.nn import functional
from sample_factory.utils.typing import ActionSpace
from sample_factory.utils.utils import log
def calc_num_actions(action_space):
if i... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/algo/utils/action_distributions.py | 0.882713 | 0.545225 | action_distributions.py | pypi |
from __future__ import annotations
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
import gymnasium as gym
import numpy as np
import torch
from gymnasium import Wrapper, spaces
from gymnasium.core import ActType, ObsType
from torch import Tensor
from sample_factory.algo.utils.tensor_ut... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/algo/utils/make_env.py | 0.958421 | 0.581838 | make_env.py | pypi |
import random
import numpy as np
from sample_factory.algo.utils.env_info import EnvInfo
from sample_factory.algo.utils.rl_utils import total_num_envs
from sample_factory.utils.typing import Config
class AgentPolicyMapping:
"""
This class currently implements the most simple mapping between agents in the env... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/algo/utils/agent_policy_mapping.py | 0.41253 | 0.33406 | agent_policy_mapping.py | pypi |
import os
import cv2
import numpy as np
from huggingface_hub import HfApi, Repository, repocard, upload_folder
from sample_factory.utils.typing import Config
from sample_factory.utils.utils import log, project_tmp_dir
MIN_FRAME_SIZE = 180
def generate_replay_video(dir_path: str, frames: list, fps: int, cfg: Config... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/huggingface/huggingface_utils.py | 0.423816 | 0.494751 | huggingface_utils.py | pypi |
import collections
import dataclasses
import time
import typing
from collections import deque
from dataclasses import dataclass
from typing import Any, Optional, Union
import psutil
from sample_factory.algo.utils.misc import EPS
from sample_factory.utils.attr_dict import AttrDict
from sample_factory.utils.utils impor... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/utils/timing.py | 0.826397 | 0.284626 | timing.py | pypi |
from __future__ import annotations
from typing import Any, Dict, Iterable, List, Optional, OrderedDict
def dict_of_lists_append(d: Dict[Any, List], new_data):
for key, x in new_data.items():
if key in d:
d[key].append(x)
else:
d[key] = [x]
def dict_of_lists_append_idx(d:... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/utils/dicts.py | 0.742515 | 0.430088 | dicts.py | pypi |
from typing import Dict
import torch
from torch import nn
from sample_factory.algo.utils.misc import EPS
from sample_factory.algo.utils.running_mean_std import RunningMeanStdDictInPlace, running_mean_std_summaries
from sample_factory.utils.dicts import copy_dict_structure, iter_dicts_recursively
class ObservationNo... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/utils/normalize.py | 0.934924 | 0.385028 | normalize.py | pypi |
from __future__ import annotations
from functools import wraps
from time import sleep
from typing import Any, Dict, Optional
from sample_factory.algo.utils.context import global_env_registry
from sample_factory.utils.typing import CreateEnvFunc
from sample_factory.utils.utils import is_module_available, log
def reg... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/envs/env_utils.py | 0.82573 | 0.428652 | env_utils.py | pypi |
from typing import Dict, List, Optional
import torch
from gymnasium import spaces
from torch import Tensor, nn
from sample_factory.algo.utils.torch_utils import calc_num_elements
from sample_factory.model.model_utils import ModelModule, create_mlp, model_device, nonlinearity
from sample_factory.utils.attr_dict import... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/model/encoder.py | 0.959269 | 0.512754 | encoder.py | pypi |
from abc import ABC
import torch
from torch import nn
from sample_factory.model.model_utils import ModelModule
from sample_factory.utils.typing import Config
class ModelCore(ModelModule, ABC):
def __init__(self, cfg: Config):
super().__init__(cfg)
self.core_output_size = -1 # to be overridden i... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/model/core.py | 0.919295 | 0.220259 | core.py | pypi |
from typing import Callable
from sample_factory.model.actor_critic import ActorCritic, default_make_actor_critic_func
from sample_factory.model.core import ModelCore, default_make_core_func
from sample_factory.model.decoder import Decoder, default_make_decoder_func
from sample_factory.model.encoder import Encoder, def... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sample_factory/model/model_factory.py | 0.899817 | 0.191252 | model_factory.py | pypi |
[](https://github.com/alex-petrenko/sample-factory/actions/workflows/test-ci.yml)
[](https://codecov... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/index.md | 0.900456 | 0.792424 | index.md | pypi |
# MuJoCo
<video width="800" controls autoplay><source src="https://huggingface.co/datasets/edbeeching/sample_factory_videos/resolve/main/mujoco_grid_9.mp4" type="video/mp4"></video>
### Installation
Install Sample Factory with MuJoCo dependencies with PyPI:
```
pip install sample-factory[mujoco]
```
### Running Expe... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/09-environment-integrations/mujoco.md | 0.488283 | 0.876158 | mujoco.md | pypi |
# Atari
<video width="800" controls autoplay><source src="https://huggingface.co/datasets/edbeeching/sample_factory_videos/resolve/main/atari_grid_57_60s.mp4" type="video/mp4"></video>
### Installation
Install Sample Factory with Atari dependencies with PyPI:
```
pip install sample-factory[atari]
```
### Running Ex... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/09-environment-integrations/atari.md | 0.437703 | 0.95635 | atari.md | pypi |
# VizDoom
<video width="800" controls autoplay><source src="https://huggingface.co/datasets/edbeeching/sample_factory_videos/resolve/main/vizdoom_grid_12_30s.mp4" type="video/mp4"></video>
### Installation
To install VizDoom just follow system setup instructions from the original repository ([VizDoom linux_deps](https... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/09-environment-integrations/vizdoom.md | 0.636466 | 0.759382 | vizdoom.md | pypi |
# Custom environments
Training agents in your own environment with Sample Factory is straightforward,
but if you get stuck feel free to raise an issue on our [GitHub Page](https://github.com/alex-petrenko/sample-factory/issues).
We recommend looking at our example environment integrations such as [Atari](../09-enviro... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/03-customization/custom-environments.md | 0.778355 | 0.865508 | custom-environments.md | pypi |
# Configuration
Sample Factory experiments are configured via command line parameters. The following command will print the help message
for the algorithm-environment combination containing the list of all parameters, their descriptions, and their default values:
```bash
python -m sf_examples.train_gym_env --env=Cart... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/02-configuration/configuration.md | 0.404272 | 0.908456 | configuration.md | pypi |
# Architecture Overview
While a basic implementation of an RL algorithm can fit in a [single file](https://cleanrl.dev/), a high-throughput
RL system requires a rather sophisticated architecture. This document describes the high-level design of Sample Factory.
The following diagram shows the main components of the sy... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/06-architecture/overview.md | 0.954446 | 0.981257 | overview.md | pypi |
# Experiment Launcher
The simplest way to run experiments is just through command line, see [Basic Usage](../01-get-started/basic-usage.md) for example.
For more complex workflows Sample Factory provides an interface that allows users to run experiments with multiple seeds or hyperparameter combinations
with automati... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/04-experiments/experiment-launcher.md | 0.68941 | 0.904144 | experiment-launcher.md | pypi |
# Profiling
It is virtually impossible to optimize any system without measuring its performance and identifying the bottlenecks.
This guide will show you how to profile your RL workload in different regimes.
## Profiling with the built-in "Timing" tool
Sample Factory provides a simple class called `Timing` (see `sam... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/07-advanced-topics/profiling.md | 0.495361 | 0.923523 | profiling.md | pypi |
# Population-Based Training
Sample Factory contains an implementation of the Population-Based Training algorithm.
See [PBT paper](https://arxiv.org/abs/1711.09846) and original [Sample Factory paper](https://arxiv.org/abs/2006.11751) for more details.
PBT is a hyperparameter optimization algorithm that can be used to... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/07-advanced-topics/pbt.md | 0.837321 | 0.984723 | pbt.md | pypi |
# Metrics Reference
## General information
Each experiment will have at least the following groups of metrics on Tensorboard/Wandb:
* `len`
* `perf`
* `policy_stats`
* `reward`
* `stats`
* `train`
Plus new sections (groups) are created for each custom metric with key in `<group_name>/<metric_name>` format (see [Cus... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/docs/05-monitoring/metrics-reference.md | 0.956927 | 0.743145 | metrics-reference.md | pypi |
from __future__ import annotations
import random
import sys
from typing import Any, Dict, Optional
import gymnasium as gym
import numpy as np
from sample_factory.algo.utils.context import global_model_factory
from sample_factory.cfg.arguments import parse_full_cfg, parse_sf_args
from sample_factory.envs.env_utils im... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/train_custom_multi_env.py | 0.745213 | 0.293102 | train_custom_multi_env.py | pypi |
from __future__ import annotations
import sys
from typing import Any, Dict, Optional
import gymnasium as gym
import numpy as np
from torch import nn
from sample_factory.algo.utils.context import global_model_factory
from sample_factory.algo.utils.torch_utils import calc_num_elements
from sample_factory.cfg.arguments... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/train_custom_env_custom_model.py | 0.85493 | 0.356811 | train_custom_env_custom_model.py | pypi |
from typing import Optional
import gymnasium as gym
from sample_factory.envs.env_wrappers import (
ClipRewardEnv,
EpisodicLifeEnv,
FireResetEnv,
MaxAndSkipEnv,
NoopResetEnv,
NumpyObsWrapper,
)
ATARI_W = ATARI_H = 84
class AtariSpec:
def __init__(self, name, env_id, default_timeout=None)... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/atari/atari_utils.py | 0.848376 | 0.502808 | atari_utils.py | pypi |
import sys
from multiprocessing.context import BaseContext
from typing import Optional
from tensorboardX import SummaryWriter
from sample_factory.algo.runners.runner import AlgoObserver, Runner
from sample_factory.algo.utils.context import global_model_factory
from sample_factory.algo.utils.misc import ExperimentStat... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/dmlab/train_dmlab.py | 0.675658 | 0.206274 | train_dmlab.py | pypi |
import os
import random
import shutil
import time
from os.path import join
from typing import Dict, Optional
import cv2
import deepmind_lab
import gymnasium as gym
import numpy as np
from sample_factory.utils.typing import PolicyID
from sample_factory.utils.utils import ensure_dir_exists, log
from sf_examples.dmlab.d... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/dmlab/dmlab_gym.py | 0.717705 | 0.22657 | dmlab_gym.py | pypi |
import collections
DMLAB_INSTRUCTIONS = "INSTR"
DMLAB_VOCABULARY_SIZE = 1000
DMLAB_MAX_INSTRUCTION_LEN = 16
LEVEL_MAPPING = collections.OrderedDict(
[
("rooms_collect_good_objects_train", "rooms_collect_good_objects_test"),
("rooms_exploit_deferred_effects_train", "rooms_exploit_deferred_effects_... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/dmlab/dmlab30.py | 0.568056 | 0.310211 | dmlab30.py | pypi |
from typing import Dict, List, Tuple
import brax
import numpy as np
from brax import math
from brax.io.image import _BASIC, _GROUND, _TARGET, _eye, _up
from brax.physics.base import vec_to_arr
from PIL import Image
from pytinyrenderer import TinyRenderCamera as Camera
from pytinyrenderer import TinyRenderLight as Ligh... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/brax/brax_render.py | 0.846451 | 0.420243 | brax_render.py | pypi |
import sys
from typing import Dict, List, Optional, Tuple, Union
import gymnasium as gym
import numpy as np
import torch
import torch.utils.dlpack as tpack
from gymnasium.core import RenderFrame
from torch import Tensor
from sample_factory.algo.utils.gymnasium_utils import convert_space
from sample_factory.cfg.argume... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/brax/train_brax.py | 0.829181 | 0.471162 | train_brax.py | pypi |
import sys
import time
from collections import deque
from typing import Deque
from signal_slot.signal_slot import StatusCode
from sample_factory.algo.sampling.simplified_sampling_api import SyncSamplingAPI
from sample_factory.algo.utils.env_info import EnvInfo, obtain_env_info_in_a_separate_process
from sample_factor... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/sampler/use_simplified_sampling_api.py | 0.44553 | 0.209227 | use_simplified_sampling_api.py | pypi |
import isaacgym
# isort: on
import os
import sys
from os.path import join
from typing import Dict, List, Optional, Tuple
import gymnasium as gym
import torch
from isaacgymenvs.tasks import isaacgym_task_map
from isaacgymenvs.utils.reformat import omegaconf_to_dict
from torch import Tensor
from sample_factory.algo.u... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/isaacgym_examples/train_isaacgym.py | 0.724968 | 0.377713 | train_isaacgym.py | pypi |
from typing import Tuple, Union
import gymnasium as gym
import numpy as np
from gymnasium.core import ObsType
DoneStepType = Tuple[
Union[ObsType, np.ndarray],
Union[float, np.ndarray],
Union[bool, np.ndarray],
Union[dict, list],
]
TerminatedTruncatedStepType = Tuple[
Union[ObsType, np.ndarray],
... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/envpool/envpool_wrappers.py | 0.925919 | 0.639314 | envpool_wrappers.py | pypi |
import argparse
def atari_override_defaults(_env, parser):
"""RL params specific to Atari envs."""
parser.set_defaults(
# let's set this to True by default so it's consistent with how we report results for other envs
# (i.e. VizDoom or DMLab). When running evaluations for reports or to compare... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/envpool/atari/envpool_atari_params.py | 0.645232 | 0.325212 | envpool_atari_params.py | pypi |
from typing import Optional
from sample_factory.utils.utils import log
try:
import envpool
except ImportError as e:
print(e)
print("Trying to import envpool when it is not installed. install with 'pip install envpool'")
from sf_examples.atari.atari_utils import ATARI_ENVS, AtariSpec
from sf_examples.envp... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/envpool/atari/envpool_atari_utils.py | 0.799755 | 0.270184 | envpool_atari_utils.py | pypi |
import gymnasium as gym
import numpy as np
from gymnasium.spaces import Box, Discrete
from sample_factory.algo.utils.spaces.discretized import Discretized
def key_to_action_basic(key):
from pynput.keyboard import Key
table = {Key.left: 0, Key.right: 1, Key.up: 2, Key.down: 3}
return table.get(key, None)... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/vizdoom/doom/action_space.py | 0.621311 | 0.518668 | action_space.py | pypi |
import copy
import operator
from collections import deque
from typing import Callable
import gymnasium as gym
from sample_factory.algo.utils.misc import EPS
from sample_factory.envs.env_utils import RewardShapingInterface
from sample_factory.utils.utils import log
NUM_WEAPONS = 8
# these are somewhat arbitrary, but... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/vizdoom/doom/wrappers/reward_shaping.py | 0.831793 | 0.265102 | reward_shaping.py | pypi |
import gymnasium as gym
import numpy as np
from sample_factory.algo.utils.rl_utils import make_dones
class MultiplayerStatsWrapper(gym.Wrapper):
"""Add to info things like place in the match, gap to leader, kill-death ratio etc."""
def __init__(self, env):
super().__init__(env)
self.timestep... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py | 0.642208 | 0.416144 | multiplayer_stats.py | pypi |
import gymnasium as gym
import numpy as np
from sf_examples.vizdoom.doom.wrappers.reward_shaping import NUM_WEAPONS
class DoomAdditionalInput(gym.Wrapper):
"""Add game variables to the observation space + reward shaping."""
def __init__(self, env):
super().__init__(env)
current_obs_space = s... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/vizdoom/doom/wrappers/additional_input.py | 0.594316 | 0.449755 | additional_input.py | pypi |
import gymnasium as gym
from sample_factory.utils.utils import log
# Wrapper no longer in use
class BotDifficultyWrapper(gym.Wrapper):
"""Adjust bot difficulty according to agent's final position in the match."""
def __init__(self, env, initial_difficulty=None):
super().__init__(env)
self.... | /sample-factory-2.1.1.tar.gz/sample-factory-2.1.1/sf_examples/vizdoom/doom/wrappers/bot_difficulty.py | 0.701202 | 0.289993 | bot_difficulty.py | pypi |
import pandas as pd
import subprocess
import re
import random
import warnings
from io import StringIO
import argparse
from pathlib import Path
DIFF_EXP = re.compile("@@[ 0-9\.,\-\+]{2,50}@@")
def sample_from_diff(s, n=1, filename=""):
lines = s.split("\n")
intro = []
diffs = []
for l in lines:
... | /sample_git_diffs-0.4.3-py3-none-any.whl/sample_git_diffs/sample_git_diffs.py | 0.415017 | 0.249493 | sample_git_diffs.py | pypi |
import functools
import logging
import os
import pathlib
import shutil
import tarfile
import tempfile
import weakref
from typing import Any, Dict, Iterable, Optional, Sequence, Union
import numpy as np
from pigz_python import pigz_python
logger = logging.getLogger(__name__)
COMPRESS_LEVEL_BEST = pigz_python._COMPRES... | /sample_id-0.1.27-py3-none-any.whl/sample_id/util.py | 0.77518 | 0.207817 | util.py | pypi |
import argparse
import logging
import logging.config
import os
import statistics
from collections import defaultdict
import joblib
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import seaborn
from matplotlib.backends.backend_pgf import FigureCanvasPgf
from sample_recognition import Match, Neighb... | /sample_id-0.1.27-py3-none-any.whl/sample_id/analysis.py | 0.447943 | 0.201951 | analysis.py | pypi |
from __future__ import annotations
import itertools
import logging
import math
from collections import defaultdict
from typing import Dict, List, Set, Tuple
from . import query
logger = logging.getLogger(__name__)
def cluster(
matches: List[query.Match], cluster_size: int = 3, cluster_dist: float = 20
) -> Tup... | /sample_id-0.1.27-py3-none-any.whl/sample_id/ann/hough.py | 0.672439 | 0.402539 | hough.py | pypi |
from __future__ import annotations
import logging
import operator
from typing import Any, Iterable, List, Optional, Sequence
from sample_id.fingerprint import Fingerprint
from . import Matcher, MatcherMetadata
from .query import Match
logger = logging.getLogger(__name__)
# TODO: Refactor, maybe to separate traini... | /sample_id-0.1.27-py3-none-any.whl/sample_id/ann/hive.py | 0.77535 | 0.202897 | hive.py | pypi |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.