input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
<gh_stars>10-100
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 16 22:56:22 2017
@author: Arpan
Description: Use MBH Features and ImageNetShuffle Features
"""
import json
import os
import utils
import numpy as np
import h5py
import pandas as pd
import collections
import cPickle
from sklearn im... | |
constant matrix; we don't
# want to broadcast the matrix!). So, outside the loop we perform a partial
# evaluation with known 'const' inputs (but all other inputs unknown).
const_pvals = [pe.PartialVal.known(t.pval.get_known())
for t in tracers[:num_consts] if t.pval.is_known()]
other_pvals = [pe.PartialVal.unknow... | |
<filename>untitled0.py<gh_stars>0
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 28 13:30:29 2021
@author: jr3
"""
"""
Write a Python program that takes as input a file containing DNA sequences in multi-FASTA format,
and computes the answers to the following questions.
You can choose to wr... | |
# import system packages
import os
from datetime import datetime
import sys
import argparse
import traceback
import pickle
import yaml
from argparse import ArgumentParser, RawTextHelpFormatter
# import numpy
import numpy as np
import healpy as hp
# the MPI comunicator class, customized for pycal data storage
from pyc... | |
import itertools
import sqlite3
def establish_connection(output_db):
"""
Establishes connection with sqlite3 database.
If the file does not exist, it will be created.
Parameters
----------
output_db : string
The full path to the SQLite database.
Returns
-------
conn : sqlite3 connection
An object used t... | |
namespace_='', name_='TileMatrixSetLink', fromsubclass_=False):
if self.TileMatrixSet is not None:
showIndent(outfile, level)
outfile.write('<%sTileMatrixSet>%s</%sTileMatrixSet>\n' % (namespace_, self.gds_format_string(quote_xml(self.TileMatrixSet).encode(ExternalEncoding), input_name='TileMatrixSet'), namespace_))... | |
# -*- coding: utf-8 -*-
"""
This script is used to run convert the raw data to train and test data
It is designed to be idempotent [stateless transformation]
Usage:
python ./scripts/etl.py
"""
from pathlib import Path
import click
import pandas as pd
import numpy as np
import calendar
import datetime as dt
import pps... | |
to [2]_ for more information on this
xarray behavior.
* "drop_incomplete_djf" (bool, by default False)
If the "dec_mode" is "DJF", this flag drops (True) or keeps
(False) time coordinates that fall under incomplete DJF seasons
Incomplete DJF seasons include the start year Jan/Feb and the
end year Dec.
Configs ... | |
"""
WRITEME
"""
from __future__ import absolute_import, print_function, division
import logging
import warnings
import theano
from theano import gof
import theano.gof.vm
from theano.configparser import config
from six import string_types
from theano.compile.function_module import Supervisor
_logger = logging.getLog... | |
# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | |
1/4, 50 1/2, 75 3/4 on
pi.set_PWM_range(9, 500) # now 125 1/4, 250 1/2, 375 3/4 on
pi.set_PWM_range(9, 3000) # now 750 1/4, 1500 1/2, 2250 3/4 on
...
"""
return _u2i(_pigpio_command(self.sl, _PI_CMD_PRS, user_gpio, range_))
def get_PWM_range(self, user_gpio):
"""
Returns the range of PWM values being used on t... | |
left_key(self):
r"""
Return the left key of the alternating sign matrix ``self``.
The left key of an alternating sign matrix was defined by Lascoux
in [LascouxPreprint]_ and is obtained by successively removing all the
`-1`'suntil what remains is a permutation matrix. This notion
corresponds to the notion of lef... | |
signals = jm_client_special_interrupt_signals)
for p in self.procs:
p.join()
log.debug("worker process %s exitcode %s", p.pid, p.exitcode)
log.debug("worker process %s was joined", p.pid)
log.debug("all workers joind")
log.debug("still in progressBar context")
log.debug("progressBar context has been left")
... | |
<reponame>LucasBorges-Santos/docker-odoo<gh_stars>0
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from collections import defaultdict
from dateutil.relativedelta import relativedelta
from itertools import groupby
from odoo import api, fields, models, _, SUPERUSER_I... | |
import platform
import re
import sys
import traceback
from .DataGridder import DataGridder
from . import ClassifyUtils
from . import ClassifyMethod
from .ClassifyMethod import ClassifyMethodError
qgis_qhull_fails=platform.platform().startswith('Linux')
from qgis.core import (
QgsExpression,
QgsExpressionContext,
... | |
<filename>maya/libs/dagutils.py
import maya.cmds as mc
import maya.OpenMaya as legacy
import maya.api.OpenMaya as om
import maya.api.OpenMayaAnim as oma
from six import string_types
from collections import deque
from itertools import chain
import logging
logging.basicConfig()
log = logging.getLogger(__name__)
log.set... | |
<gh_stars>0
# Author: <NAME>, <NAME> & <NAME>
"""
Molecule graph kernels for Gaussian Process Regression implemented in GPflow using Graphkit-learn.
"""
import gpflow
from gpflow.utilities import positive
from gpflow.utilities.ops import broadcasting_elementwise
import tensorflow as tf
from pysmiles import read_smiles... | |
<filename>graylog/apis/pluginsorggraylogpluginscollector_api.py<gh_stars>1-10
# coding: utf-8
"""
No descripton provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: 2.1.1+01d50e5
Generated by: https://github.com/swagger-api/swagger-codegen.git
Licensed u... | |
server data variable under this server's ID
server_data[server.id] = server_cache()
create_board(
server_id=server.id,
name=server.name,
description=board_base_desc.format(server.name)
)
# Backup the server data now that we've made changes
backup()
await bot.send_message(admin, step1_setup_msg.f... | |
<filename>tests/models/dfoundations/test_dfoundations_model.py
import logging
import os
from pathlib import Path
from typing import Type
import pytest
from teamcity import is_running_under_teamcity
from geolib.errors import CalculationError
from geolib.geometry.one import Point
from geolib.models import BaseModel, DF... | |
<reponame>keerockl/PerfKitBenchmarker<filename>perfkitbenchmarker/providers/gcp/gcp_relational_db.py
# Copyright 2017 PerfKitBenchmarker Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a... | |
<reponame>Yelp/zygote
import atexit
import datetime
import errno
import fcntl
import logging
import os
import signal
import socket
import struct
import sys
import time
import tornado.ioloop
from zygote import accounting
from zygote import handlers
from zygote import message
from zygote.util import close_fds
from zygo... | |
"""
Contains functions to estimate aspects of blocks (like area and delay)
by either using internal models or by making calls out to external tool chains.
"""
from __future__ import print_function, unicode_literals
import re
import os
import math
import tempfile
import subprocess
import sys
import collections
from ... | |
ttk.Frame(self.Window_vectorconfig,padding=10)
ttk.Label(fsel,text="File: ").grid(row=0,column=0,sticky='e',padx=3)
_wsel = ttk.Combobox(fsel,textvariable=self.VEC_INDX,
values=self.VEC_LIST,width=5)
_wsel.grid(row=0,column=1,sticky='w',padx=3)
_wsel.bind('<<ComboboxSelected>>',lambda e:_selected())
_went = ttk.E... | |
frame to execute.
"""
# Set the current frame number
self.__frame = frame
# Set any arg overrides from args_override in the session
self.setup_args_override()
# Find the local frame set, ie the frames that this
# instance is responsible for.
frames = self.get_local_frame_set(frame)
# Set OL_ environment var... | |
# coding: utf-8
"""
Python InsightVM API Client
OpenAPI spec version: 3
Contact: <EMAIL>
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from rapid7vmconsole.api_client ... | |
<reponame>arminnh/c-to-p-compilers
import copy
from enum import Enum
from TypeInfo import TypeInfo
from antlr4.Token import CommonToken
from antlr4.tree.Tree import TerminalNode
offset = " | "
class ASTNode(object):
def __init__(self, label="no label", ctx=None, parent=None):
self.tree = None
self.parent = parent... | |
from __future__ import unicode_literals
import frappe, math
from frappe import _
from frappe.utils import flt
from frappe.model.mapper import get_mapped_doc
from frappe.model.document import Document
from frappe.contacts.doctype.address.address import get_company_address
from frappe.contacts.doctype.address.address imp... | |
scores(self) -> np.ndarray:
"""Return point scores for each predicted node."""
return self.points_and_scores_array[:, 2]
@classmethod
def from_instance(cls, instance: Instance, score: float) -> "PredictedInstance":
"""Create a `PredictedInstance` from an `Instance`.
The fields are copied in a shallow manner wit... | |
<reponame>bcurnow/mfrc522-reader
import re
import pytest
import RPi.GPIO as realGPIO
from unittest.mock import call
from mfrc522reader.mfrc522 import MFRC522
ANTENNA_ON = 0b00000011
ANTENNA_OFF = 0b00000000
def test_Register_read():
# Make sure we're starting with the value we intend
assert MFRC522.Register.Com... | |
<filename>arena/game.py
import pygame
import sys
import math
import random
import numpy as np
from .base import PyGameWrapper
from .base import Agent, Bombv, Blast, Enemy, Obstacle, Projectile, Reward
from .base import vec2d
from pygame.constants import K_w, K_a, K_s, K_d, K_j, K_SPACE
class Arena(PyGameWrapper):
d... | |
<gh_stars>1-10
'''
Contains the code for training the encoder/decoders, including:
- Cross model loss
- Supervised loss
- Denoising loss
- Discriminator loss
'''
from utils import *
from preprocess import get_dataset, DataLoader, collate_fn_transformer
from module import TextPrenet, TextPostnet, RNNDecoder, RNNEnco... | |
<gh_stars>100-1000
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | |
"most_likely_winner",
"partial_rate",
)
def __init__(self, bets: Bets):
self._odds_values = bets.nfc._data_dict["odds"][bets._indices]
self._odds = [
Chance(**chance)
for chance in NFCMath.get_bet_odds_from_bets(
bets.indices, self._odds_values, bets.nfc._stds # type: ignore
)
]
self.best = self._odds[-1] #... | |
keys, values or the whole style-dict,
passing in the current :class:`plot_args <.PlotArgs>`, and replace those
with the callable's result (even more flexible than templates).
- Resolve any :class:`.Ref` instances, first against the current *nx_attrs*
and then against the attributes of the current theme.
- Render... | |
in the model parameters (L2-norm).
Returns
-------
test_success : list of bool's
List of success flags.
test_results : list of tuple's of numpy.ndarray's
List of tuples containing the predicted and the expected result.
'''
test_successes = []
test_results = []
test_results.append(inverse_solver.test_model... | |
[128]
CS_l1b_mds['Waveform_20Hz']['Waveform'] = np.zeros((n_records,n_blocks,n_LRM_RW),dtype=np.uint16)
# Echo Scale Factor (to scale echo to watts)
CS_l1b_mds['Waveform_20Hz']['Linear_Wfm_Multiplier'] = np.zeros((n_records,n_blocks),dtype=np.int32)
# Echo Scale Power (a power of 2 to scale echo to Watts)
CS_l1b_m... | |
import time
import datetime
import os
import tellopy
import numpy as np
import av
import cv2
from pynput import keyboard
from threading import Thread
import argparse
from math import pi, atan2, degrees, sqrt
from simple_pid import PID
from FPS import FPS
from CameraMorse import RollingGraph
import logging
import re
d... | |
import numpy
import pandas
import hts.hierarchy
from hts.functions import (
_create_bl_str_col,
get_agg_series,
get_hierarchichal_df,
to_sum_mat,
)
def test_sum_mat_uv(uv_tree):
mat, sum_mat_labels = to_sum_mat(uv_tree)
assert isinstance(mat, numpy.ndarray)
shp = mat.shape
assert shp[0] == uv_tree.num_nodes(... | |
thorugh the progression tree and generates the entity list based on the node objects
"""
nodes_strings_distinct = list(set([self._get_object_string_from_vector(node.value) for node in self.tree.get_leaves()]))
entity_list = []
# initiate list of unoccupied indices
indices = np.array(np.unravel_index(range(self.gri... | |
<gh_stars>0
# pyfu/ifu.py
"""
Objects for managing IFU fibres and their spectra.
"""
import numpy as np
import sys
import logging
from astropy.io import fits
from astropy.table import Table, Column
from astropy.wcs import WCS
from matplotlib import pyplot as plt, cm as colourmaps
from matplotlib.colors import Norm... | |
import collections
import glob
import itertools
import json
import logging
import os
from copy import deepcopy
from functools import lru_cache
from typing import Callable, Dict, List, NamedTuple, Optional, Tuple, Union
import _jsonnet
import numpy as np
import trimesh
from collision import Poly, Vector, collide
from m... | |
"""
This script reproduces Fig. 1 of Izhikevich (2004).
Original implementation references:
Izhikevich E.M. (2004) Which Model to Use for Cortical Spiking Neurons?
IEEE Transactions on Neural Networks, 15:1063-1070 (special issue on temporal coding)
Izhikevich E.M. (2003) Simple Model of Spiking Neurons.
... | |
<reponame>nealedj/eq-survey-runner
# coding: utf-8
from types import SimpleNamespace
from datetime import datetime, timedelta
from unittest.mock import patch
from dateutil.relativedelta import relativedelta
from jinja2 import Undefined, Markup
from mock import Mock
from app.jinja_filters import (
format_date, forma... | |
"""OpenID Connect authentication provider."""
from __future__ import annotations
from typing import Any, Dict, List, Mapping, Optional
from urllib.parse import urlencode, urljoin
import jwt
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives.asymmetric import rsa
from cryptog... | |
<filename>tools/jallib.py
#!/usr/bin/python
#
# Title: jallib main wrapper script
# Author: <NAME>, Copyright (c) 2008..2022, all rights reserved.
# Adapted-by: <NAME>
# Compiler:
#
# This file is part of jallib (https://github.com/jallib/jallib)
# Released under the ZLIB license (http://www.opensource.org/lice... | |
Unit.create_scaled_unit(kelvin, "p")
ukelvin = Unit.create_scaled_unit(kelvin, "u")
Tkelvin = Unit.create_scaled_unit(kelvin, "T")
ykelvin = Unit.create_scaled_unit(kelvin, "y")
Ekelvin = Unit.create_scaled_unit(kelvin, "E")
zkelvin = Unit.create_scaled_unit(kelvin, "z")
Mkelvin = Unit.create_scaled_unit(kelvin, "M")
k... | |
= 0
df.loc[threes == True, (f"{prefix[0]}_fill_4", prefix[1])] = 1
df[(f"{prefix[0]}_fill_3", prefix[1])] = np.zeros(threes.shape)
ld = self.copy().denormalize()
if self.label is not None and not exclude_label:
convert_label(ld.label)
if self.pred is not None:
convert_label(ld.pred)
if self.data is not None:
... | |
"""Compares two image tarballs and finds how their layers differ.
Compares two images layer by layer and prints out which layers differ
and what files differ per layer.
usage: idd.py [-h] [-c] [-d] [-f] [-l MAX_LAYER] [-v] tar1 tar2
positional arguments:
tar1 First image tar path
tar2 Second image tar path
optio... | |
<reponame>carbonplan/trace
import gc
import json
from itertools import compress
import boto3
import dask
import numpy as np
import rasterio as rio
import rioxarray # for the extension to load
import utm
import xarray as xr
from botocore.exceptions import ClientError
from rasterio.session import AWSSession
from s3fs im... | |
<filename>gff_to_gbk.py
#!/usr/bin/env python3
# coding: utf8
"""
Description:
Using fasta files (scaffold/chromosme/contig file, protein file), gff file, annotation tsv file and the species name
this script writes a genbank file.
The annotation tsv file contains association between gene and annotation (EC number, GO... | |
length >= CONST.lengthMidGame):
if (largest and health > CONST.healthMed and length >= CONST.lengthMidGame):
interruptlist.append(['Idle', 'Centre'])
reason.append('largest snake. length: '+str(length))
# Early game - Survive & eat
# or (health > CONST.healthMed and length < CONST.lengthMidGame
# if (numMoves... | |
<filename>nltk/sourcedstring.py
# Natural Language Toolkit: Sourced Strings
#
# Copyright (C) 2001-2009 NLTK Project
# Author: <NAME> <<EMAIL>>
# URL: <http://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
"Sourced strings" are strings that are annotated with information
about the location in a document... | |
data point.
If rel=True, assumes that center point is 0.0 ppm and calculates the
relative hertz away represented by the ppm value.
"""
hpp = self.raw_hpp if acq else self.spectral_hpp
ppm = self.pts2hz(self.ppm2pts(val)) if rel else self.ppm2pts(val, rel=rel) * hpp
return ppm
def pts2ppm(self, val, acq=False,... | |
<reponame>a-fox/indy-node
from copy import deepcopy
from typing import List
import base58
from indy_common.auth import Authoriser
from indy_common.constants import NYM, ROLE, ATTRIB, SCHEMA, CLAIM_DEF, REF, \
GET_NYM, GET_ATTR, GET_SCHEMA, GET_CLAIM_DEF, SIGNATURE_TYPE, REVOC_REG_DEF
from indy_common.roles import Ro... | |
<reponame>longtermrisk/marltoolbox
import copy
import logging
import os
import ray
from ray import tune
from ray.rllib.agents import dqn
from ray.rllib.agents.dqn.dqn_torch_policy import postprocess_nstep_and_prio
from ray.rllib.utils import merge_dicts
from ray.rllib.utils.schedules import PiecewiseSchedule
from ray.... | |
<reponame>GangQiao520/1_microscopic_wo_disentanglement<gh_stars>0
import numpy as np
import cv2
import keras
from keras import callbacks
from keras.models import Sequential, Model
from keras.layers import TimeDistributed, Conv2D, MaxPooling2D, Dense, Dropout, Flatten, LSTM, Reshape, Conv2DTranspose, Input, LeakyReLU
f... | |
zodiacal light doesn't use PSF information
if inst.is_lyot:
fzodi_pix *= 0.19
# Total stellar flux and associated magnitude
star_flux = obs.countrate() # e/sec
mag_nrc = obs.effstim('vegamag')
_log.debug('Total Source Count Rate for {0} = {1:0.1f} mags: {2:.0f} e-/sec'.\
format(bp_lim.name, mag_norm, star_flux... | |
string
def set_dtype(self, dtype):
""" Set the detector type (photon or energy)"""
self.mean_.set_dtype(dtype)
for filter_k in self.samples_:
filter_k.set_dtype(dtype)
self.dtype = self.mean_.dtype
def set_wavelength_unit(self, unit):
""" Set the wavelength units """
self.mean_.set_wavelength_unit(unit)
for... | |
import scipy.sparse as sp
import scipy.sparse.linalg as slinalg
from numpy import linalg
import scipy.misc
from sklearn.preprocessing import normalize
from gcn.utils import Test21, absorption_probability, smooth, load_data, taubin_smoothing
import gcn.utils
from config import configuration
import matplotlib.pyplot as p... | |
import copy
import re
from django.core.exceptions import ObjectDoesNotExist, MultipleObjectsReturned
from django.db import connection
from django.db.models import Q
from django.db.models.sql.query import AND, OR
from django.utils.tree import Node
ORDER_PATTERN = re.compile(r'^[-+]?[a-zA-Z0-9_]+$')
FIELD_PATTERN = re... | |
>>>
>>> response = client.get_model(name)
Args:
name (str): Resource name of the model.
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will not
be retried.
timeout (Optional[float]): The amount of time, in seconds, to wait
for the reques... | |
self._store[chunk_id] = chunk
def ensure_header(self, f):
self._add_header = f
# Reconstruct a level 2 volume header if we miss the first block
@property
def vol_hdr(self):
if not self._vol_hdr and self._add_header:
pi = self.first_chunk().prod_info
hdr = pi.as_vol_hdr()
logger.warning('Created volume header... | |
graph.
Returns
-------
int
The number of edges
"""
return self._graph.number_of_edges()
def has_node(self, vid):
"""Return True if the graph contains node `vid`.
Identical to `vid in G`.
Parameters
----------
vid : int
The node ID.
Returns
-------
bool
True if the node exists
Examples
--------
... | |
padded_ids = ids + [0] * (bucket_size - len(ids))
return padded_ids
def padding_data_instance(instance, bucket):
""" NOTE: currently this function does not padding for post length. """
_, text_word_size, query_word_size, code_token_size = bucket
iid, text_blocks, text_block_actual_lengths, code_blocks, code_block... | |
import json
import base64
from yadacoin.transactionutils import TU
from bitcoin.wallet import P2PKHBitcoinAddress
from bson.son import SON
from coincurve import PrivateKey
class _BU(object): # Blockchain Utilities
collection = None
database = None
@classmethod
def get_blocks(cls, config, mongo, reverse=False):
... | |
-0.07, -0.34],
[-0.2 , 0.25, 0.24, 0.02, 0.12, 0.37, -0.56, -0.17, -0.46,
0.46, 0.1 , -0.4 , 0.52, -0.47, 0.06, 0.24, -0.39]],
dtype=float32), array([ 0.24, -0.21, 0.39, -0.23, -0.39, -0.34, 0.17, 0.33, 0.4 ,
-0.35, -0.36, 0.32, -0.3 , 0.32, 0.4 , -0.3 , 0.28],
dtype=float32), array([[ 0.32, 0.35, -0.27, -0.4 , 0.... | |
child < self.branching_factor
nodes.append((node, child))
node = self.__ChildNodeId(node, child)
return nodes
def __WhichChild(self, low, high, want, branching_factor):
"""Determines which child of the range [low, high) 'want' belongs to.
Args:
low: An int, the low end of the range.
high: An int, the high end... | |
of credits fromt the user and adding the item into the user's inventory.
:param basedUser user: The user attempting to buy the ship
:param Ship requestedWeapon: The ship to sell to user
:raise RuntimeError: If user cannot afford to buy requestedWeapon
"""
if self.userCanAffordItemObj(user, requestedShip):
self.s... | |
unembarrassed unemotional
unending unendurable unenforceable unenthusiastic unenviable unequally
unequivocally unerringly unevenness uneventfully unexampled
unexceptionable unexceptional unexciting unexplored unexpurgated
unfailingly unfairness unfaithfully unfaithfulness unfamiliarity
unfashionable unfathomable unfeel... | |
#!/usr/bin/env python3
import os
import sys
import math
import enum
import urllib
import hashlib
import pathlib
import inspect
import logging
import argparse
import datetime
import itertools
import collections
import multiprocessing
# TODO: version dependencies statically
import bottle
import ffmpeg
import PIL
import... | |
"""Tuya devices."""
import datetime
import logging
from typing import Any, List, Optional, Tuple, Union
from zigpy.quirks import CustomCluster, CustomDevice
import zigpy.types as t
from zigpy.zcl import foundation
from zigpy.zcl.clusters.general import OnOff, PowerConfiguration
from zigpy.zcl.clusters.hvac import Ther... | |
distance map
"""
from scipy import ndimage
import numpy as np
# distance metric
if distance_method is 'edt':
data_dist = ndimage.distance_transform_edt(data).astype('float32')
elif distance_method is 'fmm':
import skfmm # scikit-fmm
data_dist = skfmm.distance(data).astype('float32')
data_grad = np.array(np.... | |
import math
from collections import OrderedDict
import pytest
import torch
from torch import nn
import continual as co
from continual.module import TensorPlaceholder
torch.manual_seed(42)
def test_sequential():
S = 3
long_example_clip = torch.normal(mean=torch.zeros(10 * 3 * 3)).reshape(
(1, 1, 10, 3, 3)
)
... | |
<gh_stars>0
import functools
from operator import lt
from itertools import product, starmap
from collections import OrderedDict
import numpy as np
from pgmpy.exceptions import Exceptions
from pgmpy.extern import tabulate
class Factor:
"""
Base class for *Factor*.
Public Methods
--------------
assignment(index... | |
* qa)
cuts.append(x1 + x)
if len(cuts) == npieces - 1:
return cuts
segment_remaining -= needed
needed = size
return qb
def func_a95cb57b432c495f9ea61358ecb327e7(npieces, x2, h1, x1, needed, cuts,
size, h2):
area_from_left += needed
width = x2 - x1
if h1 == h2:
x = area_from_left / h1
else:
qa = (h2 - h1)... | |
Sequence[str]], *, shell: bool,
stdin: int, stdout: int, stderr: int,
cwd: Union[str, bytes, PathLike, None] = None,
env: Optional[Mapping[str, str]] = None) -> Process:
await checkpoint()
if shell:
process = await asyncio.create_subprocess_shell(
command, stdin=stdin, stdout=stdout, # type: ignore[arg-type]
st... | |
terms of R^2 (percentage).
In the full-fit and bootstrap cases, <R2> is an R^2 value indicating
how well the final model estimate (<modelmd>) fits the data.
In the cross-validation case, <R2> is an R^2 value indicating how
well the cross-validated predictions of the model match the data.
(The predictions and the d... | |
= pd.read_pickle(os.path.join(basepath, self.params['output_path'] + 'feature_groups/' + 'previous_application.pkl'))
credit_bal = pd.read_pickle(os.path.join(basepath, self.params['output_path'] + 'feature_groups/' + 'credit_card_balance.pkl'))
for col in bureau.select_dtypes(include=['category']).columns:
bure... | |
pass in no Flask server or client path.
if reactor_args is None:
reactor_args = {}
if (flask_app is None) and (client_dir is None):
print('ERROR: Neither client or server are defined.')
return None
if do_log: # Set up logging.
globalLogBeginner.beginLoggingTo([FileLogObserver(sys.stdout, lambda _: formatEvent... | |
"""main threadcount module."""
import json
import csv
from types import SimpleNamespace
from collections import OrderedDict, UserList
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
import lmfit
import mpdaf.obj
import astropy.units as u
from . import lines
from ... | |
import networkx as nx
from krrt.planning.strips.representation import Action, Fluent
from krrt.utils import read_file
def create_serial_pop(plan):
pop = POP()
for action in plan:
pop.add_action(action)
for i in range(len(plan) - 1):
pop.link_actions(plan[i], plan[i+1], 'serial')
return pop
class POP(object)... | |
<gh_stars>1-10
# coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required ... | |
* x for x in cad_library.Vec3.zunit()]) == 0:
self.orientation = [0.0, math.pi, 0.0]
return
# Compute the cross product of z-Axis and the given unit axis
cross_product = cad_library.Vec3.zunit().crossprod(axis_unit)
# Compute the unit vector of cross product -> rotation vector
cross_sum = sum([x ** 2 for x ... | |
# Generated from /home/srix/workspace/pytamil/pytamil/தமிழ்/resources/மாத்திரை.g4 by ANTLR 4.8
# encoding: utf-8
from antlr4 import *
from io import StringIO
import sys
if sys.version_info[1] > 5:
from typing import TextIO
else:
from typing.io import TextIO
def serializedATN():
with StringIO() as buf:
buf.write("... | |
<gh_stars>0
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dyn... | |
s.displayName:
print "[Target] Gift"
break
else:
targets.append(copy)
if targets == []:
pass
else:
for target in targets:
try:
cl.sendText(msg.to,"Gift Sudah Terkirim!")
msg.contentType = 9
msg.contentMetadata= {'PRDTYPE': 'STICKER',
'STKVER': '1',
'MSGTPL': '1',
'STKPKGID': '1296261'}
msg.to = target
... | |
<reponame>cons3rt/cons3rt-python-sdk
"""
Copyright 2020 Jackpine Technologies Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless re... | |
"""
Miscellaneous utilities
"""
import os
import sys
import ctypes
import numpy as np
import pandas
from ..exceptions import GMTOSError, GMTCLibError, GMTCLibNotFoundError, \
GMTInvalidInput
def dataarray_to_matrix(grid):
"""
Transform a xarray.DataArray into a data 2D array and metadata.
Use this to extract t... | |
<gh_stars>0
import sys
import os
import ctypes
from ctypes import c_long, c_double, POINTER, c_int, Structure, c_char
_libraries = {}
dllname = ['geotrans2-32.dll', 'geotrans2-64.dll']['AMD64' in sys.version]
dllname = os.path.join(os.path.dirname(__file__), dllname)
# dllname = (
# r'c:\users\jaraco\projects\geotrans... | |
# coding: utf-8
# non standard packages required:
# - mako: templating engine to create the SVG
# - cairosvg: conversion to PDF
import os, sys, getopt, datetime, math, re
from collections import OrderedDict
from mako.template import Template
from mako import exceptions
from mako.exceptions import RichTraceback
from m... | |
'''
Triconex Honeypot emulating arbitrary modules (PoC)
date : April, 4th 2018
author : <NAME> (@adipinto)
author : <NAME>
author : <NAME> (@ydragoni)
contact : secresearch [ @ ] nozominetworks [ . ] com
'''
import sys
import time
import socket
import struct
import argparse
try:
import crcmod
except ImportError:
... | |
<reponame>LGruenhaupt/Qcodes<gh_stars>100-1000
"""
This module provides a class that encapsulates Alazar ATS API,
:class:`AlazarATSAPI`. The class is used to expose Alazar API functions
of its C library in a python-friendly way.
"""
from typing import Dict, Tuple, Union, Any
import ctypes
from ctypes import POINTER
... | |
sqrt(6.0)*d/3.0)
vecs = np.array(len(self.traj) * [[a, b, c]])
if self.traj.unitcell_vectors:
raise ValueError(f'self.traj already has a unit cell')
self.traj.unitcell_vectors = vecs
return self.traj
def calc_maxdist(self):
return maxdist(self.traj)
def calc_mindist(self):
xyz = self.coords
vecs = self.box
... | |
types that cannot be converted should
raise!
"""
# All the coordinate values should be converted to floats.
station = {"id": "BW.FURT",
"latitude": "A",
"longitude": 2,
"elevation_in_m": 3,
"local_depth_in_m": 4}
gen = InputFileGenerator()
with pytest.raises(ValueError):
gen.add_stations(station)
def test_... | |
<gh_stars>0
from math import cos, sin, pi
import numpy
import random
from OpenGL.GL import *
import viewport
LINE_SHADOW_VERTEX_SHADER_SOURCE = """
#version 460 core
#define INV2PI 0.15915494309189533576888376337251436203445964574
#define UV2NDA(x) 2.0 * (x) - 1.0
layout(location = 0) uniform float invTextureH... | |
<gh_stars>10-100
from flask import render_template, redirect, url_for, session, flash, abort
from flask_wtf import FlaskForm
from wtforms import RadioField, SubmitField, FormField, BooleanField
from wtforms.fields.html5 import IntegerRangeField
from wtforms.validators import DataRequired
from app.main.forms import Soft... | |
#!/usr/bin/env python
import os
import numpy
import pyquaternion
import pcl
import tf2_ros
import rospy
import rospkg
import threading
import random
import ctypes
from PIL import Image as pil
import pybullet as p
import pybullet_data
from pybullet_utils import gazebo_world_parser
from sensor_msgs.msg import Image, Imu... | |
from sklearn.svm import SVR
from sklearn.linear_model import LinearRegression
import os
import random
import sys
import csv
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
f... | |
"10425-10513"],
},
"1.A.1.c.ii-2": {
"title": "Gaseous Fuels",
"alternative_codes": ["1.A.1.c.ii-10524", "10425-10524"],
},
"1.A.1.c.ii-3": {
"title": "Liquid Fuels",
"alternative_codes": ["1.A.1.c.ii-10530", "10425-10530"],
},
"1.A.1.c.ii-4": {
"title": "Other Fossil Fuels",
"alternative_codes": ["1.A.1.c.... |
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