input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
( x ) to if x:
converts while ( x ) to while x:
"""
statements = ('elif', 'for', 'if', 'while',)
i = 0
while i < len(aList):
if self.is_string_or_comment(aList, i):
i = self.skip_string_or_comment(aList, i)
elif any(self.match_word(aList, i, z) for z in statements):
i = self.handle_keyword(aList, i)
# elif (
... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import sys
import re
import collections
import copy
__version__ = '1.5.1'
class Pyasciigraph:
def __init__(self, line_length=79,
min_graph_length=50,
separator_length=2,
force_max_value=None,
graphsymbol=None,
multivalue=T... | |
= 6
)
),
'polar2014': dict(
radialaxis = dict(
angle = 0
),
angularaxis = dict(
direction = "clockwise",
period = 6
)
),
'polar2015': dict(
radialaxis = dict(
angle = 0
),
angularaxis = dict(
direction = "clockwise",
period = 6
)
),
'polar2016': dict(
radialaxis = dict(
angle = 0
),
angu... | |
#!/usr/bin/env python
# -*- python -*-
# <NAME> <<EMAIL>>
# Code generation support: emitting files, emitting functions, etc.
#BEGIN_LEGAL
#
#Copyright (c) 2016 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 ... | |
** 2) / grid.rho
channel = grid.new_channel_to(instance.grid)
channel.copy()
instance.stopping_conditions.number_of_steps_detection.enable()
ybound = instance.get_boundary_grid('ybound1')
self.assertEquals(ybound.shape, (4+8,4,1))
memybound = ybound.copy()
memybound.rho = 0.02 | density
memybound.rhovx = 0.... | |
pooled_output = self.dense(first_token_tensor)
pooled_output = self.activation(pooled_output)
return pooled_output
class NeZhaModel(BertPreTrainedModel):
def __init__(self, config):
super(NeZhaModel, self).__init__(config)
self.embeddings = BertEmbeddings(config)
self.encoder = BertEncoder(config)
self.pooler ... | |
<gh_stars>1-10
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # l... | |
patch : matplotlib.patches
Matplotlib patch for the specified region.
"""
pass
def intersection(self, other):
raise NotImplementedError
def symmetric_difference(self, other):
raise NotImplementedError
def union(self, other):
raise NotImplementedError
class Region2D(Region):
"""
Abstract Region class to ... | |
with integer labels for rows. As mentioned above, note that both
the start and stop of the slice are included.
>>> df.loc[7:9]
max_speed shield
7 1 2
8 4 5
9 7 8
"""
def __init__(self, df_or_s):
from databricks.koalas.frame import DataFrame
from databricks.koalas.series import Series
assert isinstance(df_o... | |
from flask import Blueprint, request, session, redirect, render_template
import core
import tools
import logging
import bcrypt
import json
import traceback
import sys
from whenareyou import whenareyou
try:
import queue as Queue
except ImportError:
import Queue
db = None
configuration_data = None
log = logging.getLo... | |
<gh_stars>1-10
import os,stat
import sys
import glob
import shutil
import numpy as np
from pathlib import Path
import tarfile
import subprocess
from shutil import copyfile
from abc import ABCMeta, abstractmethod
import datetime
from shutil import copy2
import json
from json import JSONEncoder
from pyearth.toolbox.da... | |
<reponame>schlamar/latexmk.py
#!/usr/bin/env python
# coding: utf-8
'''
latexmake
~~~~~~~~~
Python module for latexmk.py which completely automates
the process of generating a LaTeX document.
:copyright: (c) 2013 by <NAME>
:license: MIT, see LICENSE for more details.
'''
from __future__ import with_statement
... | |
228:
return 'tpgrd'
if table2Version == 129 and indicatorOfParameter == 227:
return 'crnhgrd'
if table2Version == 129 and indicatorOfParameter == 226:
return 'htlcgrd'
if table2Version == 129 and indicatorOfParameter == 225:
return 'htccgrd'
if table2Version == 129 and indicatorOfParameter == 224:
return '... | |
= BatchNormalization()(conv2_1)
relu2_1 = Activation('relu')(bn2_1)
conv2_2 = Conv1D(128, 4, padding='same')(relu2_1)
bn2_2 = BatchNormalization()(conv2_2)
relu2_2 = Activation('relu')(bn2_2)
cnn2 = MaxPooling1D(pool_size=4)(relu2_2)
# kernel_size = 5
conv3_1 = Conv1D(256, 5, padding='same')(embed)
bn3_1... | |
from collections import Counter
from Bio import SeqIO
import numpy as np
import warnings
import math
warnings.filterwarnings(action='ignore', category=UserWarning, module='gensim')
from gensim.models import Word2Vec
Max_length = 100 # maximum length of used peptides
def check_length(file):
length ... | |
#! /bin/python3
import os
import re
import sys
import HTSeq
import argparse
import textwrap
import itertools
import pandas as pd
from tqdm import tqdm
from pandas import Series, DataFrame
from collections import defaultdict
# Regular expression patterns for parsing SAM alignment read names (mainly use NOT_COLLAPSED)
... | |
expiration(self) -> Optional['outputs.BucketLifecycleConfigurationV2RuleExpiration']:
"""
Configuration block that specifies the expiration for the lifecycle of the object in the form of date, days and, whether the object has a delete marker documented below.
"""
return pulumi.get(self, "expiration")
@property
@... | |
from __future__ import absolute_import, print_function, division
import os
import numpy
import warnings
from six import integer_types
import theano
from theano import Apply, tensor, config, Variable
from theano.scalar import as_scalar, constant, Log
from theano.gradient import DisconnectedType, grad_not_implemented
f... | |
= len([a for a in activities if a is not None and a.name == 'upload_episode'])
num_shares = len([a for a in activities if a is not None and a.name in ['share_existing', 'share_new']])
num_unshares = len([a for a in activities if a is not None and a.name == 'unshare'])
num_comment_posts = len([a for a in activities i... | |
0.1, 0.1, 0.1,
... A=A, mu=0.0)
>>> static_conesta = StaticCONESTA(max_iter=10000)
>>> beta1 = static_conesta.run(function, np.zeros((50, 1)))
>>> beta2 = np.dot(np.linalg.pinv(X), y)
>>> np.linalg.norm(beta1 - beta2) # doctest: +ELLIPSIS
0.96629070...
"""
INTERFACES = [properties.NesterovFunction,
properties.... | |
<filename>rtk/analyses/pof/PhysicsOfFailure.py
#!/usr/bin/env python
"""
=========================
Physics of Failure Module
=========================
"""
# -*- coding: utf-8 -*-
#
# rtk.analyses.pof.PhysicsOfFailure.py is part of The RTK Project
#
# All rights reserved.
# Copyright 2007 - 2017 <NAME> <EMAIL>rew.rowla... | |
rdz=False, realspace=False):
if realspace:
if rdz:
self._rdz_real = data
else:
self._xyz_real = data
else:
if rdz:
self._rdz = data
else:
self._xyz = data
def _get_gals(self, rdz=False, realspace=False):
if rdz:
xyz = self.get_data(realspace=realspace)
xyz = util.ra_dec_z(xyz - self.origin, np.zeros_like... | |
rebalance_tuple = self._GetRebalanceTuple()
recover_tuple = self._GetRecoverTuple()
while recover_tuple is not None:
if job_key.IsCancelled():
break
( prefix, recoverable_location, correct_location ) = recover_tuple
text = 'Recovering \'' + prefix + '\' from ' + recoverable_location + ' to ' + c... | |
#I. cleangot(): clean dfgot from wikiling.de
#1. insert links()
#2. every lemma() to own row
#3. occurences() to own col
#4. certainty() to own col
#5. reconstructedness() to own col
#6.a clean col lemma
#6.b clean col lemma
#6. translations()
#7.a activate got-ipa transcription file
#8 clean English transla... | |
both antpols
for ap in antpols:
per_ant_corr_cross_pol_metrics[(a1, ap)] = np.nanmax([np.nanmean(d) for d in diffs])
return per_ant_corr_cross_pol_metrics
def load_antenna_metrics(filename):
"""Load cut decisions and metrics from an HDF5 into python dictionary.
Loading is handled via hera_qm.metrics_io.load_me... | |
# Copyright (c) 2018, 2019, 2020 Nordic Semiconductor ASA
# Copyright 2018, 2019 Foundries.io Ltd
#
# SPDX-License-Identifier: Apache-2.0
'''
Parser and abstract data types for west manifests.
'''
import configparser
import enum
import errno
import logging
import os
from pathlib import PurePosixPath, Path
import re
i... | |
<reponame>poleha/google-maps-services-python<gh_stars>1-10
#
# Copyright 2015 Google Inc. 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/lice... | |
<filename>benchmarks/benchmarks/go_benchmark_functions/go_funcs_D.py
# -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import abs, cos, exp, arange, pi, sin, sqrt, sum, zeros, tanh
from numpy.testing import assert_almost_equal
from .go_benchmark impo... | |
<filename>examples/faster-rcnn/util.py<gh_stars>1-10
# ----------------------------------------------------------------------------
# Copyright 2016 Nervana Systems 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 ... | |
# tagmerge.py - merge .hgtags files
#
# Copyright 2014 <NAME> <<EMAIL>>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
# This module implements an automatic merge algorithm for mercurial's tag files
#
# The tagmerge algorithm imp... | |
<filename>reconcile/cli.py
import json
import logging
import os
import sys
import re
import click
import sentry_sdk
from reconcile.utils import config
from reconcile.utils import gql
import reconcile.dyn_traffic_director
import reconcile.github_org
import reconcile.github_owners
import reconcile.github_users
import r... | |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
multiPlot version 1.2 cleans up to make Pi and Windows use easier
multiPlot version 1.1 adds sunrise sunset times for location of lat long in first file
requires suntime library https://github.com/SatAgro/suntime
multiPlot version v1.0 plots up to 10 PSWS "rawdata" f... | |
<gh_stars>0
#
# Autogenerated by Thrift Compiler (0.9.2)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py:twisted
#
from thrift.Thrift import TType, TMessageType, TException, TApplicationException
from thrift.transport import TTransport
from thrift.protocol import TBinaryPro... | |
except Exception as e:
raise UnmarshallError(resp, e.message)
def GetAvatars(self, username, headers=None, query_params=None, content_type="application/json"):
"""
List all avatars for the user
It is method for GET /users/{username}/avatar
"""
uri = self.client.base_url + "/users/" + username + "/avatar"
resp ... | |
ndarray(shape, self.dtype,
offset=offset, strides=strides, buffer=self)
def __setitem__(self, key, value):
# Get info for view
offset, shape, strides = self._index_helper(key)
# Is this easy?
if not shape:
self._data[offset] = value
return
# Create view to set data to
view = ndarray(shape, self.dtype,
... | |
return _wrap(min(self, key=func))
def find(self, func):
"""
Finds the first element of the sequence that satisfies func. If no such element exists,
then return None.
>>> seq(["abc", "ab", "bc"]).find(lambda x: len(x) == 2)
'ab'
:param func: function to find with
:return: first element to satisfy func or None... | |
<gh_stars>1-10
import streamlit as st
import numpy as np
import pandas as pd
from gspread_dataframe import get_as_dataframe, set_with_dataframe
import gspread
from oauth2client.service_account import ServiceAccountCredentials
scope = ['https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive']
c... | |
now...')
if args.create_batch:
# ------------------------------------------------------------ #
# Create batch files and exit
batch(args.config_file, args.create_batch, args.batch_dir)
# ------------------------------------------------------------ #
else:
# ------------------------------------------------------... | |
#!/usr/bin/python
# -*- coding: utf-8 -*
import os
import glob
import sys
import numpy as np
import getpass
from ftplib import FTP
import shutil
import subprocess as sp
import multiprocessing as mp
sys.path.append(os.path.join(os.path.dirname(__file__),"../projects/tools"))
import msh
import executable_paths as exe
im... | |
import libjevois as jevois
import cv2 as cv
import numpy as np
import sys
## Object detection and recognition using OpenCV Deep Neural Networks (DNN)
#
# This module runs an object detection deep neural network using the OpenCV DNN
# library. Detection networks analyze a whole scene and produce a number of
# bounding ... | |
0
}
],
"iSCSIPaths": [],
"persona": 1,
"initiatorChapEnabled": False,
"targetChapEnabled": False
},
{
"id": 68,
"name": "powerpath",
"FCPaths": [
{
"wwn": "21000024FF36D406",
"hostSpeed": 0
},
{
"wwn": "21000024FF36D407",
"hostSpeed": 0
}
],
"iSCSIPaths": [],
"persona": 1,
"initiatorChapEnabled":... | |
= True,
resolve_addrs = False):
p = rep.p
ns = walk_model (rep, tag, m)
trace = []
for (n, vc) in ns:
if (n, vc) not in rep.arc_pc_envs:
# this n_vc has a pre-state, but has not been emitted.
# no point trying to evaluate its expressions, the
# solve won't have seen them yet.
continue
n_nm = rep.n... | |
ts_acquiring = Cpt(EpicsSignal, "TSAcquiring", string=True, doc="0='Done' 1='Acquiring'")
ts_control = Cpt(EpicsSignal, "TSControl", string=True, doc="0=Erase/Start 1=Start 2=Stop 3=Read")
ts_current_point = Cpt(EpicsSignal, "TSCurrentPoint")
ts_num_points = Cpt(EpicsSignal, "TSNumPoints")
ts_read = Cpt(EpicsSignal... | |
aws, return the IP address for you "free" of charge
# as part of the instance information for the VM. This might be returned
# only after the VM creation has been completed.
#
# This function is genericly called after the VM has been found to be
# running, to either simply verify that we have a valid IP address i... | |
<reponame>ashantanu/CMC
"""
Training MoCo and Instance Discrimination
InsDis: Unsupervised feature learning via non-parametric instance discrimination
MoCo: Momentum Contrast for Unsupervised Visual Representation Learning
"""
from __future__ import print_function
import os
import sys
import time
import torch
import... | |
# Microsoft Azure Linux Agent
#
# Copyright Microsoft 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 applica... | |
None:
raise ValueError(
'host/port and sock can not be specified at the same time')
f1 = self.getaddrinfo(
host, port, family=family,
type=socket.SOCK_STREAM, proto=proto, flags=flags)
fs = [f1]
if local_addr is not None:
f2 = self.getaddrinfo(
*local_addr, family=family,
type=socket.SOCK_STREAM, proto=proto... | |
them as a list"""
if not l:
outer = True
else:
outer = False
l.append(gg)
if gg.subgraph_list:
for g in gg.subgraph_list:
getGraphList(g,l)
if outer: return l
class EndOfGraphElement:
def __init__(self):
pass
def getAllGraphElements(graph, l=[]):
"""Return all nodes and edges, including elements in subgra... | |
Brain instance containing the plot.
"""
from .._wxgui import get_app
get_app(jumpstart=True)
from ._brain_object import Brain, get_source_dim
if isinstance(src, SourceSpace):
if cmap is not None or vmin is not None or vmax is not None:
raise TypeError("When plotting SourceSpace, cmap, vmin and vmax "
"can not ... | |
<filename>cloudsearch2/layer1.py
# Copyright (c) 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, includ... | |
import numpy as np
import pandas as pd
import joblib
import tensorflow as tf
import sys
import functools
import os
import tensorflow.keras.backend as K
from matplotlib import pyplot as plt
# from IPython.display import clear_output
from scipy.stats import gaussian_kde, binned_statistic as binstat
from tensorflow.keras.... | |
the user."""
raise NotImplementedError
def urllink(self, page, url):
"""Display a URL to the user."""
raise NotImplementedError
def itemized_list(self, page, title, items):
"""Display an itemized list."""
raise NotImplementedError
def step(self, page, text, func):
"""Add a step of a multi-step operation.
... | |
the index depth frame
down the stack. If fException is True use the exception
stack (traceback).
"""
if fException:
tb = get_traceback(base_frame, self)
if tb is None:
raise NoExceptionFound
while tb.tb_next is not None:
tb = tb.tb_next
f = tb.tb_frame
else:
f = base_frame
while f is not None:
if... | |
key_expiration=2, key_algs=sig_keys, enc_keys=enc_keys)
self.write_openid_keys(self.oxauth_openid_jwks_fn, jwks)
def generate_base64_string(self, lines, num_spaces):
if not lines:
return None
plain_text = ''.join(lines)
plain_b64encoded_text = base64.encodestring(plain_text.encode('utf-8')).decode('utf-8').stri... | |
# <NAME>
# new version of hex_walker_driver, first created in fall2019 project1.
# moved some contents from here to hex_util or hex_walker_constants files for cleanliness and organization.
# adds interpolation & threading improvments to the Leg object driver, some of the Hex_Walker driver, more improvements pending.
... | |
tw = textwrap.TextWrapper(break_long_words=False,
break_on_hyphens=False,
width=width,
initial_indent=prefix,
subsequent_indent=indent)
result = '\n'.join(tw.wrap(text.strip()))
# XXX: Remove the dummy prefix.
if indent_only:
result = result[len(indent):]
return result
def max_name(names):
if len(names) =... | |
import os
import copy
import time
import glob
import re
import datetime
import argparse
import csv
import math
from pathlib import Path
from scipy.stats import gaussian_kde
from XAI_utils.tp_fp import *
from XAI_utils.metrics import *
# XAI related imports
import matplotlib.pyplot as plt
import matplotlib.patches as p... | |
os.path.join(filepath,filename))
if len(lst) > 0 or ndtype:
if len(newst.ndarray[0]) > 0 or len(newst) > 1:
logger.info('write: writing %s' % filename)
#print("Here", num2date(newst.ndarray[0][0]), newst.ndarray)
success = writeFormat(newst, os.path.join(filepath,filename),format_type,mode=mode,keys=keys,version=... | |
<filename>Stanford/10_BinarySearchTrees/red_black_tree.py
# red_black_tree.py
import red_black_node as rbn
from typing import Tuple
class RedBlackTree:
"""
A class used to represent a red-black binary search tree.
Attributes:
Methods:
insert(key)
Inserts an element into the search tree.
_re... | |
current_actual_value=(1,))
n_actions = Categorical(hp_name='n_actions', obj_name='n_actions_'+str(self.model.__name__),
current_actual_value=self.info_MDP.action_space.n)
elif(self.regressor_type == 'q_regressor'):
output_shape = Categorical(hp_name='output_shape', obj_name='output_shape_'+str(self.model.__name__)... | |
# PlayStation RSD export plug-in v1.00
# Written by Lameguy64/TheCodingBrony of Meido-Tek Productions.
#
# Notes:
# - All polygons of the model must only be triangles (3 point polygons) or
# quads (4 point polygons).
# - Textures must be applied through the UV/Image Editor panel as materials are not
# used since... | |
<reponame>SAP-samples/acl2020-commonsense
#
# SPDX-FileCopyrightText: 2020 SAP SE or an SAP affiliate company
#
# SPDX-License-Identifier: Apache-2.0
#
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HugginFace Inc. team., 2019 Intelligent Systems Lab, University of Oxford, SAP SE
#
# Licens... | |
<reponame>sahadikr1/sahadikr1sasa
import asyncio, discord, base64, binascii, re, math, shutil, tempfile, os
from discord.ext import commands
from Cogs import Nullify, DL
def setup(bot):
# Add the bot and deps
settings = bot.get_cog("Settings")
bot.add_cog(Encode(bot, settings))
class Encode(commands.Cog):... | |
<reponame>RelevanceAI/RelevanceAI<filename>relevanceai/_api/endpoints/datasets/datasets.py<gh_stars>10-100
"""All Dataset related functions
"""
from typing import List, Optional
from relevanceai.client.helpers import Credentials
from relevanceai.utils.base import _Base
from relevanceai._api.endpoints.datasets.do... | |
string
:param bondIdx: Bond Index Value according to ParentMol. If None,
it will try to identified all breakable single bonds
:type bondIdx: int or ndarray or tuple or list
:param simplifyHydro: Whether to not include normal Hydro in the SMILES (Default to be True)
:type simplifyHydro: bool
:param reverse: Whe... | |
<reponame>adambernier/flaskr<filename>flaskr/blog.py
import datetime as dt
import itertools as it
from functools import wraps
from flask import (
Blueprint, current_app, flash, g, json, jsonify, redirect,
render_template, request, url_for
)
from flask_login import (
current_user,
login_required,
login_user,
log... | |
<gh_stars>0
import re
import numpy as np
import scipy.sparse as sp
from scipy import linalg
from sklearn.decomposition import NMF, non_negative_factorization
from sklearn.decomposition import _nmf as nmf # For testing internals
from scipy.sparse import csc_matrix
import pytest
from sklearn.utils._testin... | |
1 and lambda = 0, then using BAR to compute the free energy
difference. As the test is designed so that both endpoints are the same, the free energy difference should be zero.
Parameters
----------
topology_proposal : TopologyProposal
The topology proposal to test.
This must be a null transformation, where topol... | |
<filename>of13/parser.py
"""
Parser of the OpenFlow 1.3 message
"""
import netaddr
from tcpiplib.parser import *
from tcpiplib.prints import *
from struct import unpack
import of13.packet
import of13.dissector
import of13.prints
# ################## OFPT_HELLO ############################
def parse_hello(msg, pac... | |
dest . afi = LISP_AFI_IPV4
if 98 - 98: Ii1I
if 92 - 92: iII111i % i1IIi . OoOoOO00 * iIii1I11I1II1
if 17 - 17: OoooooooOO . OOooOOo
if 32 - 32: OoOoOO00 . oO0o + O0
i111 = struct . pack ( "H" , 0 )
ooOO = struct . calcsize ( "HHIBB" )
oO0Ooo = struct . calcsize ( "H" )
packet = packet [ : ooOO ] + i111 + packet... | |
<reponame>ace-ecosystem/ACE
# vim: sw=4:ts=4:et
#
# instance types
#
INSTANCE_TYPE_PRODUCTION = 'PRODUCTION'
INSTANCE_TYPE_QA = 'QA'
INSTANCE_TYPE_DEV = 'DEV'
INSTANCE_TYPE_UNITTEST = 'UNITTEST'
#
# required fields for every alert
#
F_UUID = 'uuid'
F_ID = 'id'
F_TOOL = 'tool'
F_TOOL_INSTANCE = 'tool_instance'
F_TY... | |
couplings = {(0,0):C.GC_877})
V_259 = Vertex(name = 'V_259',
particles = [ P.e__plus__, P.n1, P.sl1__minus__ ],
color = [ '1' ],
lorentz = [ L.FFS3 ],
couplings = {(0,0):C.GC_100})
V_260 = Vertex(name = 'V_260',
particles = [ P.e__plus__, P.n2, P.sl1__minus__ ],
color = [ '1' ],
lorentz = [ L.FFS3 ],
coupling... | |
import time
import json
import tempfile
import re
import ffmpeg
import cv2
import numpy as np
import pandas as pd
from pathlib import Path
from tqdm import tqdm
from argparse import ArgumentParser
WIDTH = 1280
HEIGHT = 960
GAMMA = 0.5
SYNC_FRAMERATE = 36
AUTORANGELOWDROPOUT = 0.0035
AUTORANGEHIGHDROPOUT = 0.007
def ... | |
Cs-(Cds-Cds)(Cds-Cds)(Cds-Cdd-O2d)Cs
L8: Cs-(Cds-Cds)(Cds-Cds)(Cds-Cdd-S2d)Cs
L8: Cs-(Cds-Cds)(Cds-Cds)(Cds-Cdd-Cd)Cs
L7: Cs-(Cds-Cds)(Cds-Cdd)(Cds-Cdd)Cs
L8: Cs-(Cds-Cds)(Cds-Cdd-O2d)(Cds-Cdd-O2d)Cs
L8: Cs-(Cds-Cds)(Cds-Cdd-O2d)(Cds-Cdd-Cd)Cs
L8: Cs-(Cds-Cds)(Cds-Cdd-S2d)(Cds-Cdd-S2d)Cs
L8: Cs-(Cds-Cds)(Cds-Cdd... | |
= True
#
# Define Chords for pausing TerminalVi
#
def do_say_more(self): # Vim ⌃G
"""Reply once with more verbose details"""
count = self.get_vi_arg1_int()
editor = self.editor
if editor.finding_line:
editor.finding_highlights = True
self.say_more(count)
# Vim ⌃G Quirk doesn't turn Search highlights ba... | |
<reponame>tobiasbp/workbook_exporter
#!/usr/bin/env python3
import argparse
from datetime import datetime, timedelta
import logging
import os
import random
import time
from prometheus_client import start_http_server, Summary
from prometheus_client.core import GaugeMetricFamily, HistogramMetricFamily, REGISTRY
import ... | |
sweep, unless using external reference.
elif not using_external_references:
logger.debug("First sweep will be used as reference for reindexing")
first = self._sweep_handler.get_epochs()[0]
si = self._sweep_handler.get_sweep_information(first)
reference_expt = si.get_experiments()
reference_refl = si.get_reflectio... | |
from urbansim.utils import misc
import os
import sys
import orca
import yaml
import datasources
import variables
from utils import parcel_id_to_geom_id, geom_id_to_parcel_id, add_buildings
from urbansim.utils import networks
import pandana.network as pdna
from urbansim_defaults import models
from urbansim_defaults impo... | |
called each frame, as
# rerendering is done only when needed.
def update_info_boards(self, players):
for i in xrange(10): # for each player number
update_needed = False
if self.player_info_board_images[i] == None:
self.player_info_board_images[i] = self.gui_images["info board"].copy()
update_needed = True
... | |
numpy.ndarray"
"for slices of a matrix with diagonal-origin or"
"a tuple/list of a couple of numpy.ndarray-s"
"for a slice of matrix with an arbitrary origin."
)
# kernels must be a dict with kernel-names as keys
# and kernel ndarrays as values.
if not isinstance(kernels, dict):
raise ValueError(
"'kernels' mu... | |
# Copyright 2020 QuantRocket - 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 law or agre... | |
# 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
# distributed under the Li... | |
<reponame>cameronliang/pycos
########################################################################################
#
# align.py (c) <NAME>
# University of Chicago
# <EMAIL>
# <EMAIL>
#
########################################################################################
"""
This module corrects ... | |
<reponame>UdK-VPT/BIM2Modelica
# -*- coding: utf-8 -*-
#
import ifcopenshell
import ifcopenshell.geom
import libdm.BuildingDataModel as bdm
import libdm.DataModelGenerator as dmg
import IfcLib.Ifc2x3Lib as ifcLib
from IfcLib import DataClasses
import math
import re
import os
def cmp(a, b):
'''
Compares a and b and ... | |
#
# Blueprint for the GUI
#
from flask import Flask, Blueprint, url_for, jsonify, make_response, app, \
render_template, request, session, redirect, flash, g
from flask_login import login_required, login_user, logout_user, current_user
from flask_mail import Message
import re
import logging
from datetime import date... | |
return opts
class ZabbixAPIEvent(ZabbixAPISubClass):
@checkauth
@dojson('event.get')
def get(self,**opts):
""" * Get events data
*
* {@source}
* @access public
* @static
* @since 1.8
* @version 1
*
* @param _array $options
* @param array $options['itemids']
* @param array $options['host... | |
<reponame>s-kganz/yodapy<filename>yodapy/datasources/ooi/m2m_client.py
# -*- coding: utf-8 -*-
"""
m2m_client.py
Client module for the M2M Interface, originally developed by <NAME>.
https://github.com/kerfoot/uframe-m2m
"""
from __future__ import (division,
absolute_import,
print_function,
unicode_literals)
impor... | |
<reponame>S3v3ru5/Monkey
"""Evaluator of Monkey Language"""
from typing import List
import operator as py_operator
from monkey.ast import ast
from monkey.evaluator import mobjects
from monkey.evaluator.environment import Environment
from monkey.evaluator.builtins import builtins
TRUE = mobjects.Boolean(True)
FALSE =... | |
<gh_stars>10-100
# Copyright (c) 2017-2019 Carnegie Mellon University. All rights reserved.
# Use of this source code is governed by BSD 3-clause license.
import argparse
import base64
import datetime
from datetime import timedelta
from datetime import datetime
import json
import queue
import os
import socket
import s... | |
{'март': 1},
{'конкурент': 1},
{'наглядно': 1},
{'сервис': 1},
{'имущество': 1},
{'подробно': 1},
{'вебинар': 1},
{'неликвид': 3},
{'непрофильный': 1},
{'оптовый': 1},
{'скапливаться': 1},
{'скупка': 1},
{'фирмам': 1}],
[{'возврат': 1},
{'плохо': 1},
{'стоять': 1},
{'время': 1},
{'связать': 1},
{'сдел... | |
import numpy as np
import cv2
import os
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from sklearn import linear_model
from scipy import stats
from collections import deque
from camera_cal_test import camera_cal
import gradients_colors_thresholding_test as grad_color_thres
from perspective_... | |
from random import shuffle
import numpy as np
import torch
import torch.nn as nn
import math
import torch.nn.functional as F
from matplotlib.colors import rgb_to_hsv, hsv_to_rgb
from PIL import Image
from utils.utils import bbox_iou, merge_bboxes
def clip_by_tensor(t,t_min,t_max):
t=t.float()
result = (t >= t_min... | |
render the
dendrogram. Its has the following keys:
``'color_list'``
A list of color names. The k'th element represents the color of the
k'th link.
``'icoord'`` and ``'dcoord'``
Each of them is a list of lists. Let ``icoord = [I1, I2, ..., Ip]``
where ``Ik = [xk1, xk2, xk3, xk4]`` and ``dcoord = [D1, D2, ..., D... | |
<filename>optimade/filtertransformers/elasticsearch.py
from typing import Dict, Union, Type, Optional
from lark import v_args
from elasticsearch_dsl import Q, Text, Keyword, Integer, Field
from optimade.filtertransformers import BaseTransformer, Quantity
from optimade.server.mappers import BaseResourceMapper
__all__ ... | |
#!/usr/bin/env python
#
# Author: <NAME> [tg (at) isi (dot) edu]
# Created: 2019-10-25
import collections as coll
import copy
import time
from typing import List, Dict, Tuple, Union, Iterator, Set
from nlcodec import log, DEF_MIN_CO_EV
from nlcodec.codec import Type, Level, Reseved
from nlcodec.dstruct import LnNode... | |
#!/usr/bin/python3.9
import asyncio
import logging
import re
import time
from asyncio import Queue, Task, create_task, wait_for
from copy import deepcopy
from dataclasses import asdict, dataclass, field
from typing import Any, Optional, Union
from aiohttp import web
import mc_util
from forest import utils
from forest... | |
<gh_stars>1-10
from argparse import ArgumentParser
import airsimdroneracinglab as airsim
# import keyboard
import numpy as np
import gym
# import cv2
import pygame as pg
from pathlib import Path
from pyinstrument import Profiler
from platform import system
from collections import deque
import pickle
import os
import co... | |
<reponame>flowerah/PythoMS
"""
IGNORE:
CHANGELOG:
-
---2.7 building
to add:
try to extract timepoints and tic from chromatogramList (x values are sorted, so this probably won't work)
IGNORE
"""
import sys
import os
import zlib
import gzip
import base64
import struct
import subprocess
import xml.dom.minidom
import sci... | |
# execute essa linha de código para importar as funções do 'plot_helper'
import numpy
from numpy.linalg import inv, eig
from math import ceil
from matplotlib import pyplot, ticker, get_backend, rc
from mpl_toolkits.mplot3d import Axes3D
from itertools import cycle
# interactive backends
_int_backends = ['GTK3Agg', 'G... | |
"""
Return container object, with each array entry in the container cast to a list
"""
def to_list(x, _=''):
try:
return self._ivy.to_list(x)
except (AttributeError, ValueError):
return x
return self.map(to_list)
def reshape_like(self, target_dict, leading_shape=None, return_cont=None):
"""
Set shapes of co... |
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