input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
"unicode": "1f1ee-1f1e9"
},
":flag_ie:": {
"category": "flags",
"name": "ireland",
"unicode": "1f1ee-1f1ea"
},
":flag_il:": {
"category": "flags",
"name": "israel",
"unicode": "1f1ee-1f1f1"
},
":flag_im:": {
"category": "flags",
"name": "isle of man",
"unicode": "1f1ee-1f1f2"
},
":flag_in:": {
"catego... | |
<filename>examples/inducing_points/inducing_points.py
# -*- coding: utf-8 -*-
hlp = """
Comparison of the inducing point selection methods with varying noise rates
on a simple Gaussian Process signal.
"""
if __name__ == "__main__":
import matplotlib
matplotlib.use("Agg")
import sys
reload(sys)
sys.setdefaultencod... | |
<filename>btb_manager_telegram/handlers.py<gh_stars>0
import json
import os
import shutil
import sqlite3
import subprocess
import sys
from configparser import ConfigParser
from telegram import Bot, ReplyKeyboardMarkup, ReplyKeyboardRemove, Update
from telegram.ext import (
CallbackContext,
CommandHandler,
Conversat... | |
<gh_stars>0
#!/usr/bin/env python3
import time as timer
import sys
import logging
from collections import deque
from angr.exploration_techniques import ExplorationTechnique
import psutil
class ToolChainExplorer(ExplorationTechnique):
"""
TODO
"""
def __init__(
self,
simgr,
max_length,
exp_dir,
nameFileShort,... | |
<filename>dataloader.py
# coding:utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import cPickle
import h5py
import os, time, pdb
import numpy as np
import random
import torch
import torch.utils.data as data
import multiproces... | |
resources[index + 1], resources[index]
self.collection.set_dirty(True)
indexes = [index + 1 for index in indexes]
self.update_table(table, resources, indexes)
self.update_ui()
message = "Resource moved" if len(indexes) == 1 else "Resources moved"
self.statusBar().showMessage(message, 5000)
def edit_move_left(s... | |
"""
This code is based on https://github.com/ekwebb/fNRI which in turn is based on https://github.com/ethanfetaya/NRI
(MIT licence)
"""
import numpy as np
import torch
from torch.utils.data.dataset import TensorDataset
from torch.utils.data import DataLoader
import torch.nn.functional as F
from torch.autograd import V... | |
<reponame>DangoMelon/turbo-octo-winner
import datetime
import os
import argopy
import geopandas as gpd
import gsw
import numpy as np
import pandas as pd
import xarray as xr
from argopy import DataFetcher as ArgoDataFetcher
from argopy import IndexFetcher as ArgoIndexFetcher
from dmelon.ocean.argo import build_dl, laun... | |
cmds.nodeType(input_value) == 'multiplyDivide':
new_multi.append(input_value)
if new_multi:
multi = new_multi
if not new_multi:
multi = []
attributes = self._get_message_attribute_with_prefix('multiply')
for attribute in attributes:
input_attr = attr.get_attribute_input('%s.%s' % (self.pose_con... | |
# Copyright (c) MONAI Consortium
# 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, softwa... | |
import loaddata
import pokemon_regression
import pokemon_stat_analysis
import pokemon_test_are_dragons_taller
import pokemon_normal_dist_and_actual_vals
separator_char = ", "
separator = '---------------------------------------------------------------'
tab: str = "\t"
def do_normal_dist_against_actual_values(options... | |
import requests
import xml.etree.ElementTree as ET
from typing import List
from typing import Union
from datetime import date
from datetime import datetime
from pysec.parser import EDGARParser
# https://www.sec.gov/cgi-bin/srch-edgar?text=form-type%3D%2810-q*+OR+10-k*%29&first=2020&last=2020
class EDGARQuery():
d... | |
appropriately loaded!")
return self.__init_blank_net
@abc.abstractmethod
def remove_before_save(self) -> _TypeBuffer:
raise NotImplementedError("Abstract method!")
@abc.abstractmethod
def reload_after_save(self, data: _TypeBuffer, /) -> None:
raise NotImplementedError("Abstract method!")
# ------------------... | |
if is_zero(Hvec*Vvec + Hconst):
incidence_matrix[Vindex, Hindex] = 1
# A ray or line is considered incident with a hyperplane,
# if it is orthogonal to the normal vector of the hyperplane.
for Vvec, Vindex in Vvectors_rays_lines:
if is_zero(Hvec*Vvec):
incidence_matrix[Vindex, Hindex] = 1
incidence_matrix.set_... | |
import tensorflow as tf
import numpy as np
import PIL as pil
import scipy
import skimage.measure
from keras.layers import Input, Dense, Conv2D, MaxPooling2D, UpSampling2D, Cropping2D, ZeroPadding2D, Convolution2D, Activation, AveragePooling2D, Flatten, Reshape
from keras.layers import Deconvolution2D as Conv2DTranspos... | |
<gh_stars>10-100
# coding: utf-8
# In[853]:
# for C4, C6, C7, C8, C10 outliers, lookit cat variables to see if we can identify groupings...
#C8,c10 we can kinda tell, 0.51
# C12=0.553
# Hard winsorize:
traintr.loc[traintr.D4>484,'D4'] = 485
testtr.loc[testtr.D4>484,'D4'] = 485
data.loc[data.D4>484,'D4'] = np.nan
t... | |
import numpy
import numpy.linalg
def weights(basis, X, deriv=None):
"""
Calculates the interpolant value or derivative weights for points X.
:param basis: interpolation function in each direction, eg,
``['L1', 'L1']`` for bilinear.
:type basis: list of strings
:param X: locations to calculate interpolant weigh... | |
delete_group" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'group_id' is set
if self.api_client.client_side_validation and ('group_id' not in local_var_params or # noqa: E501
local_var_params['group_id'] is None): # noqa: E501
raise ApiValueError("Missing the... | |
<gh_stars>10-100
'''
Test the preference_features module with some simple synthetic data test
Created on 3 Mar 2017
@author: edwin
'''
import logging
import os
import sys
from gp_pref_learning import GPPrefLearning
logging.basicConfig(level=logging.DEBUG)
sys.path.append("./python")
sys.path.append("./python/analy... | |
<reponame>usegalaxy-no/usegalaxy
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2017 Google
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# ----------------------------------------------------------------------------
#
# *** AUTO GENERATED CODE *** AUTO GENERA... | |
marking_definition_instance["id"])
return_obj.append(marking_definition_instance)
else:
if get_option_value("spec_version") == "2.1":
warn("ACS data markings only supported when --acs option is used. See %s", 436, isa_marking.identifier)
else:
warn("ACS data markings cannot be supported in version 2.0.", 217)
re... | |
<reponame>mgeeky/Penetration-Testing-Tools<filename>clouds/aws/exfiltrate-ec2.py
#!/usr/bin/python3
#
# This script abuses insecure permissions given to the EC2 IAM Role to exfiltrate target EC2's
# filesystem data in a form of it's shared EBS snapshot or publicly exposed AMI image.
#
# CreateSnapshot:
# Abuses:
# ec2:... | |
# coding: utf-8
"""
Layered Witness & Control
LI Witness provides deep insight and analytics into containerized applications. Control provides dynamic runtime security and analytics for containerized applications. You can find out more about the Layered Insight Suite at [http://layeredinsight.com](http://layeredins... | |
jx] * m.delta[it, jt, ix, jx] * (1 - m.ed[it, jt, ix, jx]) * \
sum(m.rgc[it, jt, ix, jx, k] * m.cpgcgc[k] for k in m.sp) * m.Tgc[it, jt, ix, jx]) * m.hi_t[it]
else:
return Constraint.Skip
# equation A.5 Solid phase adsorbed species balance
# dNse_dt
def de_nsc_rule(m, it, jt, ix, jx, k):
if 0 < jt <= m.ncp_t and ... | |
<reponame>sjklipp/autochem_1219
""" molecular graph
"""
import itertools
import functools
import numpy
import future.moves.itertools as fmit
from qcelemental import periodictable as pt
from automol import dict_
from automol.graph import _networkx
import automol.dict_.multi as mdict
import automol.create.graph as _creat... | |
<reponame>ToucanToco/toucan-data-sdk<gh_stars>1-10
from typing import Any, List
import numpy as np
import pandas as pd
__all__ = (
'lower',
'upper',
'title',
'capitalize',
'swapcase',
'length',
'isalnum',
'isalpha',
'isdigit',
'isspace',
'islower',
'isupper',
'istitle',
'isnumeric',
'isdecimal',
'stri... | |
# Copyright 2019 SiFive, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You should have received a copy of LICENSE.Apache2 along with
# this software. If not, you may obtain a copy at
#
# https://www.apache.org/licenses/LICEN... | |
feature_maps
"""
feature_map_shapes = [
shape_utils.combined_static_and_dynamic_shape(
feature_map) for feature_map in feature_maps
]
return [(shape[1], shape[2]) for shape in feature_map_shapes]
def postprocess(self, prediction_dict):
"""Converts prediction tensors to final detections.
This function convert... | |
HIRS report and ensure it passes
- Ensure that there are no new alerts
"""
logging.info("***************** Beginning of broad repo successful appraisal test *****************")
@collectors(['TPM'], COLLECTOR_LIST)
@unittest.skipIf(not is_tpm_1_2(TPM_VERSION), "Skipping this test due to TPM Version " + TPM_VERSION... | |
that confuses the algorithm
# for finding th end of the structure. Or if there is another
# structure definition embedded in the structure.
i = 0
while i < num_tokens - 2:
if (b.tokens[i].kind != TokenKind.KEYWORD or
b.tokens[i].id != "struct"):
i += 1
continue
if (b.tokens[i + 1].kind == TokenKind.IDENTIFIER ... | |
<reponame>Anthonyive/scattertext
import collections
import re
import numpy as np
import pandas as pd
from scattertext.CSRMatrixTools import delete_columns, CSRMatrixFactory
from scattertext.FeatureOuput import FeatureLister
from scattertext.Common import SPACY_ENTITY_TAGS, MY_ENGLISH_STOP_WORDS, DEFAULT_BACKGROUND_SC... | |
'''Local.py - CGAT project specific functions
=============================================
The :mod:`Local` module contains various utility functions for working
on CGAT projects and are very specific to the CGAT directory layout.
.. note::
Methods in this module need to made to work with arbitrary project
layout... | |
<reponame>dksifoua/NMT<filename>nmt/train/trainer.py
import os
import tqdm
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchtext.data import Dataset, Field
from torchtext.data.metrics import bleu_score
from torcht... | |
r, s = line(infile)
A = [((i * p + q) % r + s) for i in xrange(N)]
total = sum(A)
totalsum = [a for a in A]
for i in xrange(1, N):
totalsum[i] += totalsum[i - 1]
best = total
b = 0
for a in xrange(N):
if b < a:
b += 1
while b < N - 1 and getsum(a, b, total, totalsum) >= getsum(a,
b + 1, total, totalsum):
... | |
``self``.
INPUT:
- ``i`` -- integer between ``0`` and ``n-1`` where
``n`` is the cardinality of this set
EXAMPLES::
sage: G = NumberField(x^3 - 3*x + 1,'a').galois_group()
sage: [G.unrank(i) for i in range(G.cardinality())]
[(), (1,2,3), (1,3,2)]
TESTS::
sage: G = NumberField(x^3 - 3*x + 1,'a').galois_gr... | |
import numpy, sys
from PyQt5.QtGui import QPalette, QColor, QFont
from PyQt5.QtWidgets import QMessageBox
from orangewidget import gui
from orangewidget import widget
from orangewidget.settings import Setting
from oasys.widgets import gui as oasysgui
from oasys.widgets import congruence
from oasys.widgets.gui import ... | |
<filename>unorganized_code/two_species.py
#!/usr/bin/python
import argparse
import datetime
import os
import subprocess
import numpy as np
from simulation_parameters import DefineRegion
class SharedCommands(object):
def __init__(self, n_initial, record):
self.n_initial = n_initial
self.record = record
def ini... | |
],
[
708,
676,
73,
708,
676,
29,
708,
676,
-3,
728,
552,
48,
721,
409,
24,
689,
405,
7,
656,
402,
22,
634,
539,
47,
556,
662,
-6,
556,
662,
21,
556,
662,
51,
693,
305,
18,
697,
204,
43,
701,
104,
62,
638,
194,
16,
559,
277,
4,
558,
308,
-7,
558,
308,
-21,
757,
21... | |
<gh_stars>0
##########################################################################
#
# Copyright (c) 2013, Image Engine Design 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:
#
# * Redist... | |
import copy
import numpy as np
import numpy.linalg as la
from scipy.optimize import linprog # TODO: REMOVE
from _errors import ConvergenceError
# ======================================================================================================================
# Root-finding Methods
# =================... | |
(start position, length)
"""
buf = []
for i, elt in enumerate(mask):
if elt:
buf.append(i)
elif buf:
yield buf[0], len(buf)
buf = []
if buf:
yield buf[0], len(buf)
def greedy_matching(seq1, seq2, min_match_size):
"""
Greedy search for common substrings between seq1 and seq2.
Residual substrings (smaller... | |
Please wait... \n")
for i in range(0, 1):
browser.reload()
time.sleep(2)
browser.back()
print("Sleeping for 30 seconds to emulate humans. \n")
time.sleep(30)
browser.forward()
playsound('./sounds/break_pedal.wav')
break_pedal_ayh = input("Please click a laptop item, and add or remove it from ... | |
<reponame>BSchilperoort/python-dts-calibration
# coding=utf-8
import os
import numpy as np
import scipy.sparse as sp
from scipy import stats
from dtscalibration import DataStore
from dtscalibration import read_xml_dir
from dtscalibration.calibrate_utils import wls_sparse
from dtscalibration.calibrate_utils import wls... | |
#!/usr/bin/python
# (c) 2021, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = """
module: na_ontap_volume_efficiency
short_description: NetApp ONTAP enables, ... | |
import argparse
import subprocess
import random
import math
import os
class sWCSimGenerateData(object):
def __init__(self):
# Set parameters to choose.
#
parser = argparse.ArgumentParser(description="Generate several .root files of data for "
"different particles, energy, directions and initial positions "
"of... | |
)
subnetId = serializers.CharField(
help_text="Subnet defined by the identifier of the subnet resource in the VIM.",
required=False,
allow_null=True,
allow_blank=True
)
class IpOverEthernetAddressSerializer(serializers.Serializer):
macAddress = serializers.CharField(
help_text="MAC address.",
required=False,... | |
<gh_stars>10-100
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in... | |
<reponame>abel-gr/AbelNN
# Copyright <NAME>. All Rights Reserved.
# https://github.com/abel-gr/AbelNN
import numpy as np
import copy as copy
import random
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from pylab import text
import math
class ConvNetAbel:
version = 1.2
def __init__... | |
- len(ws_tokens[ws_token_id].split()) + attractor_len
if rep_id == src_rep_loc:
updated_ambiguous_focus_term_ws_id = updated_rep_id
updated_ambiguous_term_ws_ids.append(updated_rep_id)
assert ws_tokens[spacy_to_ws_map[src_rep_loc][0]] == new_sent_tokens[updated_ambiguous_focus_term_ws_id], \
'Mismatch between tok... | |
<gh_stars>0
#!/usr/bin/env python
# Copyright (c) 2019 Diamond Key Security, NFP
# 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 copyrigh... | |
# Copyright 2016 <NAME>
#
# 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, software
... | |
# -*- coding: utf-8 -*-
## File = "SipmQuerryRoot.py"
##
## Modified by cmj2018Mar28... Changed the directory structure and calls DataLoader versions so these could be accounted for.
## This version uses the old hdbClient_v1_3a
## Modifed by cmj2018Mar28... Change "crvUtilities2017.zip" to "crvUtilities.zip"
## Modifie... | |
TType.LIST, 12)
oprot.writeListBegin(TType.STRUCT, len(self.Dependencies))
for iter112 in self.Dependencies:
iter112.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
if self.Events is not None:
oprot.writeFieldBegin('Events', TType.LIST, 13)
oprot.writeListBegin(TType.STRING, len(self.Events))
for iter1... | |
from keeper_secrets_manager_helper.field import Field, FieldSectionEnum
from keeper_secrets_manager_helper.common import load_file
from keeper_secrets_manager_helper.v3.record_type import get_class_by_type as get_record_type_class
from keeper_secrets_manager_helper.v3.field_type import get_class_by_type as get_field_ty... | |
import copy
import datetime
import logging
import pathlib
import typing
from typing import List, Dict, Union, Tuple
from shapely.geometry import Polygon, MultiPolygon, mapping
from openeo.imagecollection import ImageCollection
from openeo.internal.graphbuilder_040 import GraphBuilder
from openeo.metadata import Colle... | |
<filename>dan_gui.py
import pygame
import math
# RGB colour definitions for referring to later
black = (0, 0, 0)
white = (255, 255, 255)
grey = (100, 100, 100)
darkGrey = (50, 50, 50)
light_grey = (130, 130, 130)
# Base/parent class used for all other classes
# Should be treated as abstract - there should never be a... | |
# Copyright 2016 Open Source Robotics Foundation, Inc.
#
# 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 ... | |
<reponame>kamperh/vqwordseg<filename>vqwordseg/algorithms.py
"""
VQ phone and word segmentation algorithms.
Author: <NAME>
Contact: <EMAIL>
Date: 2021
"""
from pathlib import Path
from scipy.spatial import distance
from scipy.special import factorial
from scipy.stats import gamma
from tqdm import tqdm
import numpy as... | |
system
self._send_command('SetControlMode ArmAssist Global')
def set_trajectory_control(self): #trajectory control with global reference system
self._send_command('SetControlMode ArmAssist Trajectory')
def send_vel(self, vel):
vel = vel.copy()
# units of vel should be: [cm/s, cm/s, rad/s]
assert len(vel) == s... | |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from parlai.core.agents import create_agent_from_shared
from parlai.mturk.core.legacy_2018.agents import TIMEOUT_MESSAGE
... | |
array, this is a required to be the sample rate.
Defaults to 0.
:param phase_correction: bool, perform phase checking before summing to mono. Defaults to False.
:param dev_output: bool, when False return the depth, when True return all extracted
features. Default to False.
:param threshold_db: float/int (negative)... | |
before : `None`, `str`, `list` of `str` = `None`, Optional
Any content, what should go before the exception's traceback.
If given as `str`, or if `list`, then the last element of it should end with linebreak.
after : `None`, `str`, `list` of `str` = `None`, Optional
Any content, what should go after the excep... | |
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw(self, context):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_... | |
<reponame>formatechnologies/models
# Copyright 2018 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... | |
+ 1}: {temp_stat_changes[i][2].name}")
print(f"Description: '{temp_stat_changes[i][2].dscrpt}'\n")
print(f"Turns left: {temp_stat_changes[i][0] - self.battle_dict['turn_counter']}")
print(f"Health Modifier: {temp_stat_changes[i][1][Stat_Sheet.health] * -1}\n" if temp_stat_changes[i][1][Stat_Sheet.health] != 0 els... | |
PageSize:
The maximum number of items to return with this call.
:rtype: dict
:returns:
"""
pass
def list_portfolios_for_product(self, ProductId: str, AcceptLanguage: str = None, PageToken: str = None, PageSize: int = None) -> Dict:
"""
Lists all portfolios that the specified product is associated with.
See al... | |
allocated. Default is GPU if
available, otherwise CPU.
dropout: The proportion of dropout to use for this layer, default 0.0.
mean: The mean of the normal distribution to initialize weights, default 0.0.
std: The standard deviation of the normal distribution to initialize weights, default 0.05.
activation: The act... | |
each row in the sampled dataset. Otherwise, the
first 100 rows of the RDD are inspected. Nested collections are
supported, which can include array, dict, list, Row, tuple,
namedtuple, or object.
Each row could be L{pyspark.sql.Row} object or namedtuple or objects.
Using top level dicts is deprecated, as dict is u... | |
<gh_stars>1-10
from smac.env.starcraft2.starcraft2 import StarCraft2Env
from smac.env.starcraft2.starcraft2 import races, difficulties, Direction
from smac.env.starcraft2.starcraft2 import actions as actions_api
from operator import attrgetter
from copy import deepcopy
import numpy as np
from absl import logging
from... | |
<gh_stars>100-1000
import os
import sys
import gc
import ctypes
import psutil
import pytest
import warnings
import threading
from time import sleep
from multiprocessing import util, current_process
from pickle import PicklingError, UnpicklingError
from distutils.version import LooseVersion
import loky
from loky import... | |
# -*- coding: utf-8 -*-
"""
Helper functions and classes for general use.
"""
from __future__ import division
from functools import partial, update_wrapper
from time import localtime, strftime
import numpy as np
from numpy.linalg import norm
import rospy
from geometry_msgs.msg import Point, PoseStamped, Quaternion
f... | |
graph.
elem_type = _execute.make_type(elem_type, "elem_type")
_, _, _op, _outputs = _op_def_library._apply_op_helper(
"StackPop", handle=handle, elem_type=elem_type, name=name)
_result = _outputs[:]
if _execute.must_record_gradient():
_attrs = ("elem_type", _op._get_attr_type("elem_type"))
_inputs_flat = _op.inp... | |
"reference_image")]),
(norm, map_wmmask, [
("reverse_transforms", "transforms"),
("reverse_invert_flags", "invert_transform_flags"),
]),
(map_wmmask, inu_n4_final, [("output_image", "weight_image")]),
])
# fmt: on
if use_laplacian:
lap_tmpl = pe.Node(
ImageMath(operation="Laplacian", op2="1.5 1", copy_header... | |
<filename>src/amuse/ext/orbital_elements.py<gh_stars>100-1000
"""
orbital element conversion and utility functions
this module provides:
generate_binaries
orbital_elements
get_orbital_elements_from_binary
get_orbital_elements_from_binaries
get_orbital_elements_from_arrays
and the following deprecated functions (assu... | |
<gh_stars>1-10
# Virtual memory analysis scripts.
# Developed 2012-2014 by <NAME>, <EMAIL>
# Copyright (c) 2012-2014 <NAME> and University of Washington
from util.pjh_utils import *
from plotting.PlotEvent import PlotEvent
import brewer2mpl
import copy
import itertools
import numpy as np
import plotting.plots_style as... | |
get_trace_list(self):
"""Return raw trace fit parameters."""
return self._trace_list
# Return full primary data header:
def get_metadata(self):
return self._metadata
# Return traces as pixel masks (requires appropriate metadata):
def get_trace_masks(self, vlevel=0):
"""Returns traces as pixel masks."""
if no... | |
not self.slice_from(u"eux"):
return False
except lab14: pass
elif among_var == 12:
# (, line 150
# call R1, line 150
if not self.r_R1():
return False
if not self.out_grouping_b(FrenchStemmer.g_v, 97, 251):
return False
# delete, line 150
if not self.slice_del():
return False
elif among_var == 13:
# (, li... | |
<gh_stars>100-1000
from collections import namedtuple
from .. import backends as be
from .layer import Layer, CumulantsTAP
ParamsBernoulli = namedtuple("ParamsBernoulli", ["loc"])
class BernoulliLayer(Layer):
"""
Layer with Bernoulli units (i.e., 0 or +1).
"""
def __init__(self, num_units, center=False):
"""
... | |
"gmsa_credential_spec")
@property
@pulumi.getter(name="gmsaCredentialSpecName")
def gmsa_credential_spec_name(self) -> Optional[str]:
"""
GMSACredentialSpecName is the name of the GMSA credential spec to use.
"""
return pulumi.get(self, "gmsa_credential_spec_name")
@property
@pulumi.getter(name="runAsUserNam... | |
<filename>migrations/versions/be21086640ad_country_added.py
"""Country added
Revision ID: be21086640ad
Revises: <PASSWORD>
Create Date: 2021-11-09 15:34:04.306218
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'be21086640ad'
down_revision = '<PASSWORD>'
branch... | |
<reponame>RebeccaYin7/hyppo
import numpy as np
class _CheckInputs:
""" Check if additional arguments are correct """
def __init__(self, n, p):
self.n = n
self.p = p
def __call__(self, *args):
if type(self.n) is not int or type(self.p) is not int:
raise ValueError("n and p must be ints")
if self.n < 5 or se... | |
<filename>src/sage/rings/finite_rings/finite_field_ext_pari.py
"""
Finite Extension Fields implemented via PARI POLMODs (deprecated)
AUTHORS:
- <NAME>: initial version
- <NAME> (2010-12-16): fix formatting of docstrings (:trac:`10487`)
"""
#****************************************************************************... | |
import sys
import os
import copy
import collections
try:
Counter=collections.Counter
pass
except AttributeError:
# python 2.6 and earlier don't have collections.Counter.
# Use local version py26counter.py instead
import py26counter
Counter=py26counter.Counter
pass
import numpy as np
if "gi" in sys.modules... | |
from __future__ import division
from os.path import join, basename, exists
from os import makedirs
from nilearn import input_data, datasets, plotting, regions
from nilearn.image import concat_imgs
from nilearn.input_data import NiftiLabelsMasker
from nilearn.connectome import ConnectivityMeasure
from scipy.stats impor... | |
<gh_stars>1-10
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Genera... | |
import keras.backend as K
import cv2, time, os
import numpy as np
import model as modellib
from skimage import morphology
class MAPCallback:
def __init__(self,
model,
val_dataset,
class_names,
threshold=5,
inference_num=50,
batch_size=1,
old_version=False):
super(MAPCallback, self).__init__()
self.model = m... | |
source.startswith(rev))
return subset.filter(lambda r: _matchvalue(r))
def date(repo, subset, x):
"""``date(interval)``
Changesets within the interval, see :hg:`help dates`.
"""
# i18n: "date" is a keyword
ds = getstring(x, _("date requires a string"))
dm = util.matchdate(ds)
return subset.filter(lambda x: dm... | |
import sys
import os
import time
import queue
import random
import logging
import concurrent.futures as cf
from multiprocessing import Process
from multiprocessing import Queue
# PROGRAM CONFIG
STOPONFE = True;
DEBUG = False;
LOG = True;
# logger_format = "[%(asctime)s %(msecs)03dms] [PID %(process)d] %(message)s"... | |
(geometry.wkbType() == QGis.WKBMultiLineString) or \
(geometry.wkbType() == QGis.WKBMultiLineString25D):
lines = geometry.asMultiPolyline()
line = lines[0]
fromx = line[0].x()
fromy = line[0].y()
line = lines[len(lines) - 1]
tox = line[len(line) - 1].x()
toy = line[len(line) - 1]... | |
<filename>datacommons_pandas/df_builder.py
# Copyright 2020 Google Inc.
#
# 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 a... | |
<gh_stars>0
import asyncio
import discord
import random
from discord.ext import commands
from Cogs import Settings
from Cogs import DisplayName
from Cogs import Nullify
def setup(bot):
# Add the bot and deps
settings = bot.get_cog("Settings")
bot.add_cog(UserRole(bot, settings))
class UserRole(command... | |
<filename>robot_motion_planning/code/robot.py
import numpy as np
import json
import random
from sys import stderr
class Robot(object):
def __init__(self, maze_dim):
"""
set up attributes that the robot
will use to learn and navigate the maze. Some initial attributes are
provided based on common information, inclu... | |
from IPython import get_ipython
if get_ipython().__class__.__name__ == 'ZMQInteractiveShell':
from tqdm import tqdm_notebook as tqdm
else:
from tqdm import tqdm
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# Sarkas Modules
import sarkas.tools.observables as obs
class Transport... | |
- y1) * (y2 - y1) + (x2 - x1) * (x2 - x1)
# print("line: slope={:.2f}, x_mid={:.2f}, intercept={:.2f}:({:.2f},{:.2f})-({:.2f},{:.2f})".format(
# slope, x_mid, intercept, x1, y1, x2, y2))
if (slope >= min_pos_slope) and (slope <= max_pos_slope):
pos_slopes.append(slope)
pos_intercepts.append(intercept)
pos_sq_dist... | |
maxHs:
break
startingPoint = sortedTBuoy.T[0]
hsBin1.append(sortedTBuoy.Hs[0])
tBin1.append(sortedTBuoy.T[0])
while True:
tempNextBinTs = sortedTBuoy.T[sortedTBuoy.T < startingPoint + tStepSize]
tempNextBinHs = sortedTBuoy.Hs[sortedTBuoy.T < startingPoint + tStepSize]
nextBinTs = tempNextBinTs[tempN... | |
configured
m = p5.match(line)
if m:
password_text = m.groupdict()['password_text']
if flag:
parsed_dict['peer_session'][template_id]['inherited_session_commands']\
['password_text'] = password_text
else:
parsed_dict['peer_session'][template_id]['password_text'] = password_text
continue
# shutdown
m = p6.mat... | |
<reponame>Ayyub29/transformer-quantization<gh_stars>1-10
# Copyright (c) 2021 Qualcomm Technologies, Inc.
# All Rights Reserved.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.mobilebert.modeling_mobilebert import... | |
import torch.nn as nn
import torch
from torch.autograd import Variable
class InitialBlock(nn.Module):
def __init__(self,
in_channels,
out_channels,
kernel_size=3,
padding=0,
bias=False,
relu=True):
super(InitialBlock,self).__init__()
if relu:
activation = nn.ReLU()
else:
activation = nn.PReLU()
# Main... | |
import re
import inflect
import nltk
from src.pre_process.common_nlp import lemmatizer, text_into_sentence
from src.identify_relationship import binary_relationship_dic_list, ternary_relationship_list, \
unary_relationship_dic_list
from src.utils.file_manipulation import get_root_of_input_xml
one_to_one_relationshi... | |
1 0]
sage: asm = A([[0, 1, 0],[1, -1, 1],[0, 1, 0]])
sage: asm.height_function()
[0 1 2 3]
[1 2 1 2]
[2 1 2 1]
[3 2 1 0]
sage: asm = A([[0, 0, 1],[1, 0, 0],[0, 1, 0]])
sage: asm.height_function()
[0 1 2 3]
[1 2 1 2]
[2 3 2 1]
[3 2 1 0]
"""
asm = self.to_matrix()
n = asm.nrows() + 1
return matrix([[i+j-2... |
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