input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
import os
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import sys
import seaborn as sns
sns.set()
sns.set_context("paper")
from sklearn import metrics
# get colors from https://medialab.github.io/iwanthue/ or artenatevly from http://phrogz.net/css/distinct-colors.html
colors_cycle = ["... | |
if level is None:
# all levels
result = [self.getNNew(level=t_level) for t_level
in range(self.topLevel+1)]
return result
else:
# level specified
return len(self.findNewIds(level=level))
def findIds(self, func, kargs):
"""
Returns ids for which function func applied on arguments arg retruns
True.
Arg... | |
>>> i, j = symbols('i,j', integer=True)
>>> powdenest((x**x)**(i + j)) # -X-> (x**x)**i*(x**x)**j
x**(x*(i + j))
But exp() will be denested by moving all non-log terms outside of
the function; this may result in the collapsing of the exp to a power
with a different base:
>>> powdenest(exp(3*y*log(x)))
x**(3*y)... | |
},
],
"range" : {
"min" : "0",
"max" : "1024"
},
},
},
"access" : "readwrite",
"description" :
"""""",
}, # scalar
"arpInspectLogInterval" : {
"nodetype" : "scalar",
"moduleName" : "ZYXEL-GS4012F-MIB",
"oid" : "1.3.6.1.4.1.890.172.16.31.10.102.1.3.3",
"status" : "current",
"syntax" : {
"type" : {
"ba... | |
# -*- coding: utf-8 -*-
import curses
try:
from dns import resolver
except ImportError:
pass
from copy import deepcopy
import random
import json
import collections
from operator import itemgetter
try:
import requests
except ImportError:
pass
import threading
import logging
from .player import info_dict_to_list
from... | |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
'''Tests cribbed from linkscape/processing/test/robotstxt.test.old.cc'''
import unittest
import reppy
import logging
from reppy import Utility
reppy.logger.setLevel(logging.FATAL)
MYNAME = 'rogerbot'
class TestOldMozscape(unittest.TestCase):
@staticmethod
def parse(... | |
# -*- coding: utf-8 -*-
"""4_focus_random_classify_random_train_classify.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1pHaGvxPWtFJXolLP6BXSnxm-_rZpiWB5
"""
from google.colab import drive
drive.mount('/content/drive')
import torch.nn as nn
import... | |
<filename>CodeAnalysis/SourceMeter_Interface/SourceMeter-8.2.0-x64-linux/Python/Tools/python/logilab/common/pytest.py<gh_stars>1000+
# copyright 2003-2011 LOGILAB S.A. (Paris, FRANCE), all rights reserved.
# contact http://www.logilab.fr/ -- mailto:<EMAIL>
#
# This file is part of logilab-common.
#
# logilab-common is ... | |
# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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... | |
from kivy.clock import Clock
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.floatlayout import FloatLayout
from kivy.core.window import Window
from kivy.graphics import RenderContext, Color, Rectangle, BindTexture
from kivy.graphics.texture import Texture
from kivy.properties import ObjectPro... | |
<reponame>Jonypr-code/KivyMD
"""
Components/TapTargetView
========================
.. seealso::
`TapTargetView, GitHub <https://github.com/KeepSafe/TapTargetView>`_
`TapTargetView, Material archive <https://material.io/archive/guidelines/growth-communications/feature-discovery.html#>`_
.. rubric:: Provide value a... | |
no address decoded
continue
out_addresses = output["scriptPubKey"]["addresses"]
amount_btc = output["value"]
if address in out_addresses:
utxos.append(output)
return utxos
def create_unsigned_transaction(source_address, destinations, redeem_script, input_txs):
"""
Returns a hex string representing an unsigne... | |
<reponame>Del2909/Online-concencus-app
####################################################################
# Licence: Creative Commons (see COPYRIGHT) #
# Authors: <NAME>, <NAME> #
# {nik0spapp, <EMAIL> #
# Supervisor: <NAME> #
# <EMAIL> #
# University of the Aegean #
# Department of Information and Communication Sys... | |
# encoding: utf-8
import time
import pytest
import ckan.model as model
import ckan.tests.legacy as tests
import ckan.tests.helpers as helpers
from ckan.tests.legacy import TestController as ControllerTestCase
class TestEmailNotifications(ControllerTestCase):
@classmethod
def setup_class(cls):
model.repo.rebuild_... | |
<filename>crcbeagle/crcbeagle.py
#
# CRC Beagle, automatic CRC/Checksum detection for communication protocols.
#
# Copyright (C) <NAME>, 2021.
#
# See https://github.com/colinoflynn/crcbeagle for more details.
#
# See LICENSE file for distribution requirements.
#
# CRC differential technique based on Gregory Ewing
# ht... | |
= not _ignore
elif not _ignore and _l[_i] in '#%':
# if we're not in a string and it's a comment
break # stop before here
_i += 1
_l = _l[:_i]
# get the code to run
# have to bundle for subprocess.run
_to_exec = [_l] if _l and _l[0] not in '%#' else []
while _l and _l[:2] not... | |
RuntimeError as e:
bad_plogp += 1
plogp = -999
print(i+1, Chem.MolToSmiles(mol, isomericSmiles=True), ' error in penalized_log')
results.append((qed, plogp, smile, smile2))
f.write('{},{},{},{}\n'.format(qed, plogp, smile, smile2))
f.flush()
f.close()
results.sort(key=lambda tup: tup[0], reverse=True)
fv = ... | |
- 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::ro::detail::IRoInterface', 0, '0x28 bytes in - 8 bytes out - takes pid - OutRaw<8,8,0>, InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>, InRaw<8,8,0x18>, InRaw<8,8,0x20>'),
('nn::ro::detail::IRoInterface', 1, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, In... | |
<filename>sympy/core/tests/test_power.py
from sympy.core import (
Basic, Rational, Symbol, S, Float, Integer, Mul, Number, Pow,
Expr, I, nan, pi, symbols, oo, zoo, N)
from sympy.core.tests.test_evalf import NS
from sympy.core.function import expand_multinomial
from sympy.functions.elementary.miscellaneous import sqrt... | |
<filename>extra_foam/pipeline/processors/tests/test_image_roi.py
"""
Distributed under the terms of the BSD 3-Clause License.
The full license is in the file LICENSE, distributed with this software.
Author: <NAME> <<EMAIL>>
Copyright (C) European X-Ray Free-Electron Laser Facility GmbH.
All rights reserved.
"""
impor... | |
terminated (nEnd == -1)
nEnd = max(nStart, nEnd)
self.sections[i].sectionName = bytes(stringtable_str[nStart:nEnd])
###############################################
# parse program header table
'''
typedef struct {
uint32_t p_type;
Elf32_Off p_offset;
Elf32_Addr p_vaddr;
Elf32_Addr p_paddr;
uint32_t p_file... | |
# Copyright (c) 2015, Novartis Institutes for BioMedical Research Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# n... | |
<gh_stars>1-10
#!/usr/bin/env python3
# Copyright (c) 2015-2016 The Bitcoin Core developers
# Copyright (c) 2017 The Bitcoin developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""
This test checks activation of UAHF and the... | |
<reponame>Aks-Dmv/WSDDN
import argparse
import os
import shutil
import time
import sys
import sklearn
import sklearn.metrics
import torch
torch.cuda.init()
import torch.nn as nn
import torch.nn.parallel
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.o... | |
<filename>attacks.py
from PIL import Image
from torchvision import transforms
import torch
from models import *
from torch import nn, optim
from torchvision.models import resnet50
from torchvision.models.vgg import VGG
import torchvision.models.densenet as densenet
import torchvision.models.alexnet as alexnet
from torc... | |
<filename>emr_mine_python_scipts/pq_tree/PQNode.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from SiblingVector import SiblingVector
pq_counter = 0
class PQNode(object):
""" generated source for PQNode
"""
LABEL_EMPTY = 0
LABEL_PARTIAL = 1
LABEL_FULL = 2
TYPE_PNODE = 0
TYPE_QNODE = 1
label =... | |
'''
This file contains the functions for the groupig/clustering algorithm from Watkins & Yang, J. Phys. Chem. B, vol 109, no 1, 2005
that do the actual work. THis includes
(1) initial hierarchical clustering - InitialClustering
(2) with that clustering as input, Bayesian Inf. Crit. based clustering into m-levels
'''
... | |
<gh_stars>0
from collections import namedtuple, OrderedDict
from .trex_stl_packet_builder_scapy import STLPktBuilder
from .trex_stl_streams import STLStream
from .trex_stl_types import *
from .rx_services.trex_stl_rx_service_ipv6 import *
from . import trex_stl_stats
from .utils.constants import FLOW_CTRL_DICT_REVE... | |
self.ssh_port_label_ssh_port_inputbox_frame.pack(side = "top", fill = "both", pady = 10)
self.ssh_user_name_label_ssh_user_name_inputbox_frame = tk.Frame(self)
self.ssh_user_name_label_ssh_user_name_inputbox_frame.config(background = "white")
self.ssh_user_name_label = tk.Label(self.ssh_user_name_label_ssh_user_nam... | |
self.labels = ['Susceptible', 'Exposed', 'Infectious']
self.colors = ['green', 'yellow', 'red']
def __repr__(self):
"""
redefine the model representation
"""
return f"Covid_SEIS(s={self.s}, e={self.e}, i={self.i})\n(lam={self.lam}, b={self.b}, k={self.k}, a={self.a}, mu={self.mu})"
def rhs(self, t, y):
"""
D... | |
= Constraint(expr= - m.b213 + m.x1074 <= 0)
m.c1835 = Constraint(expr= - m.b214 + m.x1075 <= 0)
m.c1836 = Constraint(expr= - m.b215 + m.x1076 <= 0)
m.c1837 = Constraint(expr= - m.b216 + m.x1077 <= 0)
m.c1838 = Constraint(expr= - m.b217 + m.x1078 <= 0)
m.c1839 = Constraint(expr= - m.b218 + m.x1079 <= 0)
m.c1840 = ... | |
CTACGCATCCTGTACCTTATAGACGAAATTAACGACCCTCACCTGACAATTAAAGCAATA
Chicken CTCCAAATCCTCTACATAATAGACGAAATCGACGAACCTGATCTCACCCTAAAAGCCATC
Human CTACGCATCCTTTACATAACAGACGAGGTCAACGATCCCTCCCTTACCATCAAATCAATT
Loach CTACGAATTCTATATCTTATAGACGAGATTAATGACCCCCACCTAACAATTAAGGCCATG
Mouse CTACGCATTCTATATATAATAGACGAAATCAACAACCCCGTATTAACCGT... | |
# coding: utf-8
# In[1]:
from jove.SystemImports import *
from jove.TransitionSelectors import *
from jove.DotBashers import chk_consistent_pda
# # Pushdown Automata (PDA)
#
# ## Basic Definitions
#
# Pushdown Automata are structures
#
# $(Q, Sigma, Gamma, Delta, q0, z0, F)$
#
# where
#
# * $Q$ : Finite non-e... | |
__author__ = "<NAME>"
__copyright__ = "Copyright 2020"
__version__ = "1.0.1"
__maintainer__ = "Rabaa"
__email__ = "<EMAIL>"
import numpy as np
import sys
## Class: TestParticle
# Functions: Default Constructor, DataDissection, IdentifyResonance, PrintData
class TestParticle:
def __init__(self): # Attributes defined... | |
<gh_stars>10-100
import numpy as np
import torch
from torch.utils.data import DataLoader, Dataset
from torchvision import datasets, transforms
class MaskGenerator():
"""Class used to generate masks. Can be used to create masks during
training or to build various masks for generation.
Parameters
----------
img_s... | |
from datetime import datetime
import hashlib
from werkzeug.security import generate_password_hash, check_password_hash
from itsdangerous import TimedJSONWebSignatureSerializer as Serializer
from markdown import markdown
import bleach
from flask import current_app, request
from flask.ext.login import UserMixin, Anonymou... | |
Entries:
valid_schema_keys = (
'name', 'private', 'required', 'type', 'values', 'min', 'max',
'regex', 'default', 'list', 'delim', 'prefix', 'map_to', 'alias_of',
)
for entry in details['schemas']:
# Track the map_to entries (if specified); We need to make sure that
# these properly map back
map_to_entries = s... | |
"ipSetup" : {
"nodetype" : "node",
"moduleName" : "ZYXEL-ES2024A-MIB",
"oid" : "1.3.6.1.4.1.890.172.16.17.32.11",
}, # node
"dnsIpAddress" : {
"nodetype" : "scalar",
"moduleName" : "ZYXEL-ES2024A-MIB",
"oid" : "1.3.6.1.4.1.890.172.16.17.32.11.1",
"status" : "current",
"syntax" : {
"type" : { "module" :"SNMPv... | |
fileobj, B1=None, blobopprod=0.0):
"""
Nonmonotone Spectral Projected Gradient solver for problems of the type
.. math::
\\min \\lVert AXC - B\\rVert_F^2 \\qquad s.t. X^TX = I
The method is described in references :cite:`FranBaza12` and
:cite:`FranBazaWebe17`, and we implement a few variations (including a
m... | |
<reponame>dvogt/salt-check
# -*- coding: utf-8 -*-
'''
A module for testing the logic of states and highstates
Saltcheck provides unittest like functionality requiring only the knowledge of salt module execution and yaml.
In order to run state and highstate saltcheck tests a sub-folder of a state must be creaed and n... | |
#!/usr/bin/env python
# Lint as: python3
# -*- encoding: utf-8 -*-
"""Tests for the flow database api."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import queue
import random
import time
import mock
from grr_response_core.lib import rdfvalue
from g... | |
+str(currDCRBTCAsk) +" -> Sell DCR for " +str(currDCREURBid) +"€ = " +str("%.3f" % arb12_profitA))
arb12_profitB = safe_division((currDCRBTCBid*currBTCEURBid - currDCREURAsk)*100.0,currDCREURAsk)
if arb12_profitB >= min_profit:
print(strftime("[%H:%M] ") +"Buy DCR " +str(currDCREURAsk) +"€ -> Sell DCR " +str(currDC... | |
import os
import torch
import torch.nn.functional as F
import transformers
from torch import nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from torch.nn.utils.rnn import pad_sequence
from .util import is_module_available, get_module_or_attr
from ..commons import ALLENNLP_ELMO_PRETRAINED_... | |
cls, method):
return vmfield_get_helper(locals, "ref")
def VMField_getType(locals, loader, cls, method):
this = locals.get(0, "ref")
clazz = this.fields.get('clazz', "ref")
name = unpack_string(this.fields.get('name', "ref"))
const = clazz.class_type.cls.constant_pool
for i in range(clazz.class_type.cls.fields_c... | |
import xml.sax
import rdflib
from django.db import transaction
from hs_core.serialization import GenericResourceMeta
class RasterResourceMeta(GenericResourceMeta):
"""
Lightweight class for representing metadata of RasterResource instances.
"""
def __init__(self):
super(RasterResourceMeta, self).__init__()
s... | |
import numpy as np
import random
from scipy.stats import skew as scipy_skew
from skimage.transform import resize as skimage_resize
from QFlow import config
## set of functions for loading and preparing a dataset for training.
def get_num_min_class(labels):
'''
Get the number of the minimum represented class in labe... | |
# stdlib
import json
import re
import traceback
from typing import Any, Dict, Optional
# libs
import netaddr
# local
from bin import RouterMixin, utils
import settings
ADDRESS_NAME_SUB_PATTERN = re.compile(r'[\.\/:]')
class RouterScrub(RouterMixin):
def run(self):
self.run_router()
def prompt(self):
print()
u... | |
<filename>calibration/configured_suites.py<gh_stars>10-100
##########################################################################
#
# Configure different suites here
#
##########################################################################
# A suite is an assemblage of variables to plot in one or more sub-plots... | |
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 22 06:55:02 2021
@author: david
"""
import os
import pickle
import sys
import matplotlib.cm
import networkx as nx
import pandas as pd
from Patent2Net.P2N_Config import LoadConfig
from Patent2Net.P2N_Lib import LoadBiblioFile, UrlPatent, UrlApplicantBuild, UrlInventorBu... | |
RD, IMMEDIATE], [RD, RS, IMMEDIATE])
self.fit('ADDU', [[OPCODE, 0], RS, RT, RD, 5, [OPCODE, 33]], [RD, RS, RT])
self.fit('AND', [[OPCODE, 0], RS, RT, RD, 5, [OPCODE, 36]], [RD, RS, RT])
self.fit('ANDI', [[OPCODE, 12], RS, RD, IMMEDIATE], [RD, RS, IMMEDIATE])
self.fit('DADD', [[OPCODE, 0], RS, RT, RD, 5, [OPCODE... | |
# Copyright 2021 Google LLC
#
# 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 law or agreed to in writing, softw... | |
complete to the local file system
https://api.qualtrics.com/docs/get-response-export-file
:param responseExportId: The ID given to you after running your Response Export call or URL return by GetResponseExportProgress
:type responseExportId: str
:param filename: where to save zip file returned by Qualtrics
:type f... | |
shape [batch, seq_length, hidden_size].
num_attention_heads: Number of attention heads.
head_size: The size per attention head.
initializer: Kernel initializer.
activation: Actication function.
name: The name scope of this layer.
Returns:
float logits Tensor.
"""
input_shape = get_shape_list(input_tensor)
hi... | |
after the last equality.
while pointer < len(diffs):
if diffs[pointer][0] == self.DIFF_EQUAL: # Equality found.
if (len(diffs[pointer][1]) < self.Diff_EditCost and
(post_ins or post_del)):
# Candidate found.
equalities.append(pointer)
pre_ins = post_ins
pre_del = post_del
lastequality = diffs[pointer][1]
else... | |
# coding: utf-8
"""
Cloudbreak API
Cloudbreak is a powerful left surf that breaks over a coral reef, a mile off southwest the island of Tavarua, Fiji. Cloudbreak is a cloud agnostic Hadoop as a Service API. Abstracts the provisioning and ease management and monitoring of on-demand clusters. SequenceIQ's Cloudbreak ... | |
= feed_forward(X)
return np.argmax(probabilities, axis=1)
predictions = predict(X_train)
print("predictions = (n_inputs) = " + str(predictions.shape))
print("prediction for image 0: " + str(predictions[0]))
print("correct label for image 0: " + str(Y_train[0]))
### Choose cost function and optimizer
To measure how ... | |
"""defines a Tensor Network, which is the class that holds most of our genome information"""
import copy
import itertools
import json
import time
import random
import tensorflow as tf
import networkx as nx
from matplotlib import pyplot as plt
from tensorEvolution import tensor_encoder, evo_config
from tensorEvolution.n... | |
not in metric_kwargs:
metric_kwargs[kwargs_id] = set()
for metric_name in metric_list:
metric_kwargs[kwargs_id].add(metric_name)
deduplicated[suite_name] = list(metrics)
if len(metric_kwargs) > 0:
deduplicated[suite_name] = deduplicated[suite_name] + [
{
"metric_kwargs_id": {
metric_kwargs: list(metrics_set)
... | |
np.random.permutation(np.shape(x)[0])
return perm
def iszero(x):
x = np.array(x)
return True if np.shape(x)[0] == 0 else False
def get_cur_pos(cur_pos):
cur_pos = np.array(cur_pos)
return np.reshape(cur_pos, (-1,1))
def center_size(boxes):
""" Convert prior_boxes to (cx, cy, w, h)
representation for comparis... | |
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# acme_event_log = sa_orm_relationship(
# "AcmeEventLog",
# primaryjoin="AcmeChallenge.acme_event_log_id==AcmeEventLog.id",
# uselist=False,
# back_populates="acme_challenges",
# )
acme_challenge_polls = sa_orm_relationship(
"AcmeChalleng... | |
from sys import maxint
from heapq import heappop, heappush, heapify
from networkx import single_source_dijkstra_path_length, single_source_dijkstra_path, is_connected
from structures import steiner_graph as sg
import steiner_approximation as sa
from reduction import degree, long_edges, ntdk, sdc
from preselection impor... | |
<reponame>lockhart39/HueQualityAndIngestionApp<gh_stars>1-10
# Copyright (c) 2003-2012 LOGILAB S.A. (Paris, FRANCE).
# http://www.logilab.fr/ -- mailto:<EMAIL>
#
# This program is free software; you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free Softwar... | |
#BEGIN_LEGAL
#
#Copyright (c) 2019 Intel 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 required by applicable law or ag... | |
<filename>SMlib/utils/qthelpers.py<gh_stars>1-10
"""Qt utilities"""
import sys,os
sys.path.append('..'+ os.path.sep + '..' + os.path.sep)
from PyQt4.QtGui import (QAction, QStyle, QWidget, QIcon, QApplication,
QLabel, QVBoxLayout, QHBoxLayout, QLineEdit,
QKeyEvent, QMenu, QKeySequence, QToolButton,
QPixmap,... | |
+ 0.49 * umath.pow(t4,-0.52) * (umath.exp(-4.544/t4))) / D
#
# y_I4471 = y0_I4471 / (1.0 + g_I4471)
# y_I5876 = y0_I5876 / (1.0 + g_I5876)
# y_I6678 = y0_I6678 / (1.0 + g_I6678)
#
# Magnitude = (3.0/5.0) * (y_I5876 + (1.0/3.0) * y_I4471 + (1.0/3.0) * y_I6678)
#
# elif methodology == 'Liu2000':
#
# if Parameter == ... | |
1318,
(-1, 2): 1319,
( 1, 2): 1320,
( 2, 1): 1321,
( 2,-1): 1322,
( 1,-2): 1323,
(-1,-2): 1324,
(-2,-1): 1325,
}
MOVE_MAP_46 = {
(-1, 0): 1326,
(-2, 0): 1327,
(-3, 0): 1328,
(-4, 0): 1329,
(-5, 0): 1330,
(-1, 1): 1331,
( 0, 1): 1332,
( 1, 1): 1333,
( 1, 0): 1334,
( 2, 0): 1335,
( 1,-1): 1336,
( 2,-2... | |
# Copyright (c) 2019 Horizon Robotics. 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 la... | |
<gh_stars>10-100
""" Generate HTML reports """
import os
import glob
import pandas as _pd
import logging
import jinja2
import re
import sys
from warnings import warn
from datetime import timedelta
from ._version import __version__ as v
from .const import *
from .processed_project import get_project_outputs
from .utils... | |
<filename>nflwin/tests/test_preprocessing.py
from __future__ import print_function, division
import numpy as np
import pandas as pd
import pytest
from sklearn.utils.validation import NotFittedError
from sklearn.pipeline import Pipeline
from nflwin import preprocessing
class TestPipelines(object):
"""Testing if pipe... | |
2.09\
546C2.81988 2.80\
969 1.98679 3.82\
485 1.49482 5.01\
257C1.00285 6.20\
029 0.874083 7.5\
0719 1.12489 8.7\
6807C1.37569 10.\
0289 1.99478 11.\
1872 2.90382 12.\
0962C3.81286 13.\
0052 4.97107 13.\
6243 6.23194 13.\
8751C7.49282 14.\
1259 8.79972 13.\
9972 9.98744 13.\
5052C11.1752 13.\
0133 12.1903 12.\
1801 12.... | |
await ctx.send(Translator.translate(ctx.guild, "mkick_success", _emote="YES", users=kicked, total=len(kicked)))
on_time = datetime.datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S")
await Logging.log_to_guild(ctx.guild.id, "memberLogChannel", Translator.translate(ctx.guild, "log_mass_kick", _emote="SHOE", on_time=on_tim... | |
49113: "4360 4462 4532",
49114: "4360 4462 4533",
49115: "4360 4462 4534",
49116: "4360 4462 4535",
49117: "4360 4462 4536",
49118: "4360 4462 4537",
49119: "4360 4462 4538",
49120: "4360 4462 4539",
49121: "4360 4462 4540",
49122: "4360 4462 4541",
49123: "4360 4462 4542",
49124: "4360 4462 4543",
49125: "... | |
<reponame>guineawheek/ftc-data-take-2
import datetime
from firebase_admin import messaging
from firebase_admin.exceptions import FirebaseError, InvalidArgumentError, InternalError, UnavailableError
from firebase_admin.messaging import QuotaExceededError, SenderIdMismatchError, ThirdPartyAuthError, UnregisteredError
imp... | |
<gh_stars>1-10
# -*- test-case-name: twisted.words.test.test_jabberxmlstream -*-
#
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
XMPP XML Streams
Building blocks for setting up XML Streams, including helping classes for
doing authentication on either client or server side, and w... | |
<filename>DrAnalysis.py
#!/usr/bin/env python
# Copyright (c) 2020, Arm Limited and Contributors.
#
# 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... | |
__copyright__ = 'Copyright 2014-2016, http://radical.rutgers.edu'
__license__ = 'MIT'
import copy
import os
import pprint
import stat
import time
import radical.utils as ru
from .. import utils as rpu
from .. import states as rps
from .. import constants as rpc
from ..db import DBSession
from .resource_manager imp... | |
text/html.
"""
return pulumi.get(self, "mime_type")
@mime_type.setter
def mime_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "mime_type", value)
@property
@pulumi.getter(name="staticFile")
def static_file(self) -> Optional[pulumi.Input[str]]:
"""
Static file content to be served for this ... | |
i, v in enumerate(sorted(vectors, key=lambda x: random())):
# Randomly partition the vectors across k clusters.
clusters[i % int(k)].append(v)
# Cache the distance calculations between vectors (4x faster).
map = DistanceMap(method=distance); distance = map.distance
converged = False
while not converged and iterat... | |
<filename>src/python/excitation_energies_fit/energies.py
import numpy as np
import plot
class Files:
# main directory where everything is stored
blobs = 'assets/'
data_directory = blobs + 'data/'
plot_directory = blobs + 'plots/'
# store the experimental data for 183Au
AU_183_DATA_POSITIVE = data_directory + ... | |
20, 1, 5): (-1, 1),
(6, 20, 2, -5): (0, 1),
(6, 20, 2, -4): (0, 1),
(6, 20, 2, -3): (0, 1),
(6, 20, 2, -2): (0, 1),
(6, 20, 2, -1): (0, 1),
(6, 20, 2, 0): (-1, 1),
(6, 20, 2, 1): (-1, 1),
(6, 20, 2, 2): (-1, 1),
(6, 20, 2, 3): (-1, 0),
(6, 20, 2, 4): (-1, -1),
(6, 20, 2, 5): (-1, -1),
(6, 20, 3, -5): (1, 1)... | |
counts as being read only "
"to the user who reads it."),
),
]
return crispy.Fieldset(
_("Chat Settings"),
*fields
)
@property
def section_internal(self):
return crispy.Fieldset(
_("Internal Settings (Dimagi Only)"),
hqcrispy.B3MultiField(
_("Override Daily Outbound SMS Limit"),
crispy.Div(
InlineField(... | |
that takes a dataframe or a
genomic region alternatively to calculate a PCA.
@df_or_gene Dataframe or GenomicRegion containing d-dimensional data
@columns Dataframe columns that contain the actual data
@classlabel_column column that contains class labels
@axis 1 if columns are instances, 0 if rows are instances
@... | |
import numpy as np
import logging
import time
import concurrent.futures
from hytra.core.probabilitygenerator import (
IlpProbabilityGenerator,
computeDivisionFeaturesOnCloud,
computeRegionFeaturesOnCloud,
DummyExecutor,
)
from hytra.util.progressbar import ProgressBar
logger = logging.getLogger(__name__)
def f... | |
list(belief['beliefs']['requested'].values())])
ret_vec = [0] * 5
if n_requested > 4:
n_requested = 4
ret_vec[n_requested] = 1.
return ret_vec
def convert_joint_slot_b(self, belief):
"""
Extracts the features for the joint vector of all the slots
:param belief: The full belief state
:return: The joint slot v... | |
'''
Sub encoder that is based on the Alphanum Encoder that is part of monay.py
and the Optimised Subencoder that is part of Metasploit
https://github.com/rapid7/metasploit-framework/blob/master//modules/encoders/x86/opt_sub.rb
https://github.com/corelan/mona
'''
import argparse
import binascii
import sys
import os
... | |
50)
config_object = JsonObject(content={"foo": 100})
config._Configuration__verify_or_set_optional_int(
config_object=config_object,
field="foo",
default_value=None,
config_description=None,
min_value=10,
max_value=100,
)
self.assertEqual(config_object["foo"], 100)
# 2. value < min
config_object = JsonObj... | |
<filename>sasmodels/kernelcl.py
"""
GPU driver for C kernels
TODO: docs are out of date
There should be a single GPU environment running on the system. This
environment is constructed on the first call to :func:`env`, and the
same environment is returned on each call.
After retrieving the environment, the next step ... | |
)
avg_training_recall_of_epoch = np.average(self.stats.training_recall)
self.tb_writer.add_scalar(
"Avg Epoch Classification Metrics/Train Recall", avg_training_recall_of_epoch, self.epoch_sup_current + 1
)
avg_training_f1_of_epoch = np.average(self.stats.training_f1)
self.tb_writer.add_scalar("Avg Epoch Classifi... | |
"ciscoMgmt.10.64.2.1.1.7": {},
"ciscoMgmt.10.64.2.1.1.8": {},
"ciscoMgmt.10.64.2.1.1.9": {},
"ciscoMgmt.10.64.3.1.1.1": {},
"ciscoMgmt.10.64.3.1.1.2": {},
"ciscoMgmt.10.64.3.1.1.3": {},
"ciscoMgmt.10.64.3.1.1.4": {},
"ciscoMgmt.10.64.3.1.1.5": {},
"ciscoMgmt.10.64.3.1.1.6": {},
"ciscoMgmt.10.64.3.1.1.7": {},
... | |
import nibabel as nib
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
import os
import math
import struct
import csv
import time
def gpu_usage():
print('gpu usage (current/max): {:.2f} / {:.2f} GB'.format(torch.cuda.memory_allocated()*1e-9, torch.c... | |
ck.out(y)
ck.out('')
ry=os.system(y)
if tosd.get('delete_file_extra','')!='':
y=tosd['delete_file_extra']+df+' '+rse
if o=='con':
ck.out('')
ck.out(y)
ck.out('')
ry=os.system(y)
if os.path.isfile(df):
os.remove(df)
elif os.path.isdir(df):
shutil.rmtree(df,ignore_errors=True)
# Delete global directori... | |
__author__ = '<NAME>'
from PyQt4 import QtCore, QtGui
from core.pco_definitions import PixelFly
from threading import Thread
import os, time, sys, pickle
import pyqtgraph as pg
from astropy.io import fits
import numpy as np
import matlab.engine
from queue import Empty
import pygame, os, time, pickle
import w... | |
<filename>compyle/cuda.py
"""Common CUDA related functionality.
"""
from __future__ import print_function
from pytools import Record, RecordWithoutPickling
import logging
from pytools.persistent_dict import KeyBuilder as KeyBuilderBase
from pytools.persistent_dict import WriteOncePersistentDict
from pycuda._cluda impo... | |
# pylint: disable=arguments-differ, unused-argument
"""Samplers for positive/negative/ignore sample selections.
This module is used to select samples during training.
Based on different strategies, we would like to choose different number of
samples as positive, negative or ignore(don't care). The purpose is to allevia... | |
Illuminant=D65
# NOTE: this is actually the XYZ values for the illuminant above.
lab_ref_white = np.array([0.95047, 1., 1.08883])
# XYZ coordinates of the illuminants, scaled to [0, 1]. For each illuminant I
# we have:
#
# illuminant[I][0] corresponds to the XYZ coordinates for the 2 degree
# field of view.
#
# illum... | |
Raw message.
- **Simple** *(dict) --*
The simple email message. The message consists of a subject and a message body.
- **Subject** *(dict) --* **[REQUIRED]**
The subject line of the email. The subject line can only contain 7-bit ASCII characters. However, you can specify non-ASCII characters in the subject line by... | |
<reponame>levidantzinger/hawaii_covid_forecast
#########################################################
############### ~ Import Libraries ~ ####################
#########################################################
import numpy as np
import pandas as pd
import scipy.integrate as integrate
from dd_model.model imp... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""QSTAR Utilities
"""
from __future__ import print_function
from itertools import combinations, permutations
import copy, sys
from igraph import Graph as iGraph
import numpy as np
import warnings
import qstag
def compute_episodes(world_qsr):
"""
Compute QSR Episodes f... | |
"br/"
else:
pattern = "ra/"
metaid = ""
id_list = list(filter(None, id_list))
how_many_meta = [i for i in id_list if i.lower().startswith('meta')]
if len(how_many_meta) > 1:
for pos, elem in enumerate(id_list):
if "meta" in elem:
id_list[pos] = ""
else:
for pos, elem in enumerate(id_list):
try:
elem = Cura... | |
* mu.cost(1.25519718278 + 3894.18182954220 * x)
L1 += 0.00000019455 * mu.cost(2.53112676345 + 4399.99435688900 * x)
L1 += 0.00000015000 * mu.cost(1.03464802434 + 2288.34404351140 * x)
L1 += 0.00000020029 * mu.cost(4.73119428749 + 4690.47983635860 * x)
L1 += 0.00000015381 * mu.cost(2.47009470350 + 4535.05943692440 *... |
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