text stringlengths 0 1.05M | meta dict |
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"""Arithmetics for dense recursive polynomials in ``K[x]`` or ``K[X]``. """
from __future__ import print_function, division
from sympy.core.compatibility import range
from sympy.polys.densebasic import (
dup_slice,
dup_LC, dmp_LC,
dup_degree, dmp_degree,
dup_strip, dmp_strip,
dmp_zero_p, dmp_zero,... | {
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"""Arithmetics for dense recursive polynomials in ``K[x]`` or ``K[X]``. """
from __future__ import print_function, division
from sympy.polys.densebasic import (
dup_slice,
dup_LC, dmp_LC,
dup_degree, dmp_degree,
dup_normal,
dup_strip, dmp_strip,
dmp_zero_p, dmp_zero,
dmp_one_p, dmp_one,
... | {
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"path": "sympy/polys/densearith.py",
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"autogenerated": false,
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"config_test"... |
"""Arithmetics for dense recursive polynomials in `K[x]` or `K[X]`. """
from sympy.polys.densebasic import (
dup_LC, dmp_LC,
dup_degree, dmp_degree,
dup_normal, dmp_normal,
dup_strip, dmp_strip,
dmp_zero_p, dmp_zero,
dmp_one_p, dmp_one,
dmp_zeros
)
from sympy.polys.polyerrors import (
... | {
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"confi... |
"""Arithmetics for dense recursive polynomials in ``K[x]`` or ``K[X]``. """
from sympy.polys.densebasic import (
dup_LC, dmp_LC,
dup_degree, dmp_degree,
dup_normal,
dup_strip, dmp_strip,
dmp_zero_p, dmp_zero,
dmp_one_p, dmp_one,
dmp_ground, dmp_zeros)
from sympy.polys.polyerrors import (
... | {
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"""Arithmetics for dense recursive polynomials in ``K[x]`` or ``K[X]``. """
from sympy.polys.densebasic import (
dup_LC, dup_TC, dmp_LC,
dup_degree, dmp_degree,
dup_normal, dmp_normal,
dup_strip, dmp_strip,
dmp_zero_p, dmp_zero,
dmp_one_p, dmp_one,
dmp_ground, dmp_zeros)
from sympy.polys.p... | {
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"""Arithmetic simplification module using sympy.
This module simplifies symbolic expressions using only arithmetic operators.
"""
# pylint: disable=unused-import,exec-used
import ast
import sympy
from copy import deepcopy
from sspam.tools import asttools
def run(expr_ast, nbits):
'Apply sympy arithmetic simplif... | {
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# Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
from datetime import datetime, timedelta
import numpy as np
import pytest
from pandas.errors import NullFrequencyError, OutOfBoundsDatetime, PerformanceWarning
import pandas as pd
from pandas import (
DataFrame,
Dat... | {
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... |
# Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
from datetime import datetime, timedelta
import numpy as np
import pytest
from pandas.errors import OutOfBoundsDatetime, PerformanceWarning
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
NaT,... | {
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# Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for datetime64 and datetime64tz dtypes
from datetime import datetime, timedelta
from itertools import product, starmap
import operator
import warnings
import numpy as np
import pytest
import pytz
from pandas._... | {
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# Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for datetime64 and datetime64tz dtypes
from datetime import datetime, time, timedelta
from itertools import product, starmap
import operator
import warnings
import numpy as np
import pytest
import pytz
from pa... | {
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... |
# Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for datetime64 and datetime64tz dtypes
from datetime import (
datetime,
time,
timedelta,
)
from itertools import (
product,
starmap,
)
import operator
import warnings
import numpy as np
impo... | {
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# Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for numeric dtypes
from collections import abc
from decimal import Decimal
from itertools import combinations
import operator
import numpy as np
import pytest
import pandas as pd
from pandas import Index, Seri... | {
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# Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for object dtype
from decimal import Decimal
import operator
import numpy as np
import pytest
import pandas as pd
from pandas import Series, Timestamp
from pandas.core import ops
import pandas.util.testing as ... | {
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# Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for object dtype
import datetime
from decimal import Decimal
import operator
import numpy as np
import pytest
import pandas as pd
from pandas import Series, Timestamp
import pandas._testing as tm
from pandas.c... | {
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# Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for Period dtype
import operator
import numpy as np
import pytest
from pandas._libs.tslibs import IncompatibleFrequency, Period, Timestamp, to_offset
from pandas.errors import PerformanceWarning
import pandas... | {
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"con... |
import struct, sys
from ast import literal_eval
errno = 0
def parse(expr):
out = []
tokens = expr.split()
for token in tokens:
if token == ' ':
pass
elif token.isdigit():
out.append( int(token) )
elif token in ['+', '-', '*', '/', '%', '... | {
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"path": "examples/arith/arithc.py",
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"""Aritmetika na N, s razlikom što su + i * lijevo asocirani višemjesni.
Uz implicitno množenje ako desni faktor počinje zagradom (npr. 2(3+1)=8).
Implementiran je i optimizator, baš kao u originalnom aritmetika_N.py."""
from vepar import *
from backend import Python_eval
class T(TipoviTokena):
PLUS, PUTA, OTVO... | {
"repo_name": "vedgar/ip",
"path": "PJ/03_ar_N_višemjesni.py",
"copies": "1",
"size": "3067",
"license": "unlicense",
"hash": -4874865134944929000,
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"autogenerated": false,
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... |
"""Aritmetika u Q, s deklaracijama varijabli, statičkim (sintaksnim) tipovima,
i provjerom tipova (typechecking). Podržana su tri tipa, totalno uređena s
obzirom na relaciju "biti podtip": nat (N), int (Z) i rat (Q)."""
from vepar import *
class T(TipoviTokena):
NAT, INT, RAT, DIV, MOD = 'nat', 'int', 'rat', 'd... | {
"repo_name": "vedgar/ip",
"path": "PJ/18_ar_Q_statyping.py",
"copies": "1",
"size": "5206",
"license": "unlicense",
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"line_mean": 30.8159509202,
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"autogenerated": false,
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"... |
"""Aritmetika u skupu racionalnih brojeva, s detekcijom grešaka.
Po uzoru na https://web.math.pmf.unizg.hr/~veky/B/IP.k2p.17-09-08.pdf."""
from vepar import *
import fractions
class T(TipoviTokena):
PLUS, MINUS, PUTA, KROZ, JEDNAKO, OTV, ZATV, NOVIRED = '+-*/=()\n'
class BROJ(Token):
def izračunaj(t... | {
"repo_name": "vedgar/ip",
"path": "PJ/17_aritmetika_Q.py",
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"ha... |
"""Aritmética con curvas elípticas.
Este módulo permite operar con el grupo de puntos de una curva elíptica.
Para utilizar las funciones y las clases de este módulo, debe importarlo
previamente: ::
# reemplace ... por la función/clase que desea utilizar
from ccepy.curvas_elipticas import ...
Para operar con... | {
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"""Aritmética elemental con enteros y polinomios.
Este módulo permite operar con enteros módulo un primo p y polinomios
cuyos coeficientes sean enteros módulo un primo p.
Para utilizar las funciones y las clases de este módulo, debe importarlo
previamente: ::
# reemplace ... por la función/clase que desea utiliz... | {
"repo_name": "ranea/ccepy",
"path": "ccepy/aritmetica_elemental.py",
"copies": "1",
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... |
"""ARK Survival RCON Interface. Connect, authenticate and transmit data to your favorite ARK Server.
by Torgrim "Fable" Ruud - torgrim.ruud@gmail.com
Class initialization requires host,port and password and will connect to the server unless specified.
Upon connecting commences authentication.
Through class inheritan... | {
"repo_name": "f4ble/pyarc",
"path": "ark/rcon.py",
"copies": "2",
"size": "5976",
"license": "apache-2.0",
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"alpha_frac": 0.6599732262,
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"has_no_k... |
import argparse
import os
import time
import datetime
cVersion = "0.1a"
cWaitingTimeForPageUpdate = 5 # seconds
cWaitingTimeForDownloadingToComplete = 10 # seconds
def main():
ShowApplicationTitle()
inputs = ProcessCommandLineInputs()
print "Accessing Arlo webpage.."
result = DownloadAllTodaysVideo(inputs.ac... | {
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"path": "arloBackup.py",
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#arlobox.py
# Netgear Arlo camera automation
# Monitor the momentary toggle switch in the Raspberry Pi box,
# or the armed state of an external security alarm system,
# then change the arm/disarm mode of the Arlo cameras,
# and set the lights on the box appropriately.
#Copyright (c) 2016, Len Shustek
#Open source b... | {
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"path": "arlobox.py",
"copies": "1",
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"""ARMA and MA estimates, ARMA and MA PSD estimates.
.. topic:: ARMA model and Power Spectral Densities.
.. autosummary::
:nosignatures:
arma_estimate
ma
arma2psd
parma
pma
.. codeauthor:: Thomas Cokelaer 2011
:References: See [Marple]_
"""
import numpy as np
f... | {
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"path": "src/spectrum/arma.py",
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"license": "bsd-3-clause",
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'''ARMA process and estimation with scipy.signal.lfilter
2009-09-06: copied from try_signal.py
reparameterized same as signal.lfilter (positive coefficients)
Notes
-----
* pretty fast
* checked with Monte Carlo and cross comparison with statsmodels yule_walker
for AR numbers are close but not identical to yule... | {
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"""ARMA process and estimation with scipy.signal.lfilter
Notes
-----
* written without textbook, works but not sure about everything
briefly checked and it looks to be standard least squares, see below
* theoretical autocorrelation function of general ARMA
Done, relatively easy to guess solution, time consuming t... | {
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""" ARM architecture definition. """
import io
from ... import ir
from ...binutils.assembler import BaseAssembler
from ..arch import Architecture
from ..arch_info import ArchInfo, TypeInfo
from ..generic_instructions import Label, Alignment, RegisterUseDef
from ..data_instructions import Db, Dd, Dcd2, data_isa
from ..r... | {
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"path": "ppci/arch/arm/arch.py",
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"""ARM inline assembler.
This module allows creation of new functions in ARM assembler
(machine language) which can be directly called from Python.
The assembler syntax parsed by this module follows as closely as practical
the offical ARM syntax
"""
from functools import partial as _partial
import re as _re
import c... | {
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# Armon Dadgar
# May 10th 2009
#
# This file houses the code used for interactions between repy and the node manager.
# Namely, it checks for a stopfile to inform us to terminate, and it periodically
# writes a status file informing the NM of our status.
#
# This is used to write out our status
import statusstorage
#... | {
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# Armon Dadgar
#
# Creates python interface for windows api calls that are required
#
# According to MSDN most of these calls are Windows 2K Pro and up
# Trying to replace the win32* stuff using ctypes
# Ctypes enable us to call the Windows API which written in C
import ctypes
# Needed so that we can sleep
import t... | {
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# armor/advection/semiLagrangian.py
# to calculate advected scalar (or vector too) fields
# will develop into the semi-Lagrangian scheme
# status: still under development
import copy
import time
import os
import scipy
import numpy
import numpy as np
import numpy.ma as ma
#import matplotlib
import matplotlib.pyplot a... | {
"repo_name": "yaukwankiu/armor",
"path": "advection/semiLagrangian.py",
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# armor.geometry.edges
# module for edge detecting and stuff
import copy
import numpy as np
import numpy.ma as ma
from scipy.signal import fftconvolve
#from armor import pattern
def find(a):
"""
use straightforward summing of mask criteria
"""
m1 = ma.zeros(a.matrix.shape)
m2 = ma.zeros(a.matrix.s... | {
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... |
# armor.geometry.transforms
# functions: translation(arr, (a,b))
# linear(arr, matrix 2x2)
# affine(arr, matrix 2x3)
# in this module we compute the linear/affine transformations of arrays
# it is done in two steps
# 1. the corresponding coordinates are calculated
# 2. ... | {
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# armor.kmeans.stormTracking.py
# codes taken from armor.tests.trackingTest20140901
import numpy as np
#from armor import objects4 as ob
def stormTracking(a0,
upperThreshold=40, lowerThreshold=20,
lowerLimit1=10, upperLimit1=100000,
lowerLimit2=30000,
m... | {
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# armor/shiiba/regression2.py
# adapted from regression.py
# see regression.py for further remarks
# with a change: c1,.., c6 -> c1,..,c9
# 19 February 2013.
# to calculate the advection coefficiations after Shi-iba et al
# Takasao T. and Shiiba M. 1984: Development of techniques for on-line forecasting of rainfall a... | {
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"path": "shiiba/regression2.py",
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... |
# armor/spectral/powerSpec1.py
# migrated from armor/test/
# 2014-06-17
# powerSpec1.py
# test script for computing power spectrum
# 2014-06-10
"""
== Spectral analysis ==
0. RADAR domain -> normalise to WRF domain
tests to do -
1. average each 4x4 grid in RADAR then compare the spectrum of... | {
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# armor.texture.analysis.py
# should work automatically
"""
script to analyse the texture and perform segmentation, given radar data
pipeline:
1. dbz radar data -> armor.DBZ object
2. (filter bank) -> feature layers
3. (clustering) -> texture layers
4. (neighbour aggregation) -> segmentation
... | {
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""" ArnoldC -> Python translator
This file includes abstract model of blocks and statements.
"""
import reserved_words as rword
#Abstract syntax model
#---------------------
class Runnables(object):
"""Abstract definition of runnable blocks/statements"""
def __init__(self):
raise NotImplementedE... | {
"repo_name": "puhitaku/PynoldC",
"path": "translator.py",
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"has_no_ke... |
"""Arnoldi iteration eigensolver using ARPACK-NG.
See also: https://github.com/opencollab/arpack-ng
"""
from ctypes import (byref, cdll, create_string_buffer, c_int, c_char,
c_char_p, c_double, POINTER, sizeof)
import ctypes.util
import logging
from typing import Optional, Tuple
import sys
impo... | {
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"path": "diffusion_maps/gpu_eigensolver.py",
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"ratio": 3.1988579106483037,
"config_te... |
'''A Robot Framework listener that sends information to a socket in JSON format
This requires Python 2.6+
'''
import os
import socket
import sys
import json
from SimpleXMLRPCServer import SimpleXMLRPCServer, SimpleXMLRPCRequestHandler
PORT = 8910
HOST = "localhost"
# Robot expects the class to be the same as the fi... | {
"repo_name": "boakley/robotframework-workbench",
"path": "rwb/misc/socket_listener.py",
"copies": "1",
"size": "3071",
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# A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below).
#
# The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right
# corner of the grid (marked 'Finish' in the diagram below).
#
# How many possible unique paths are ther... | {
"repo_name": "jigarkb/CTCI",
"path": "LeetCode/062-M-UniquePaths.py",
"copies": "2",
"size": "1244",
"license": "mit",
"hash": -2237396285817897500,
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"""A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below).
The robot can only move either down or right at any point in time. The robot is trying to reach the
bottom-right corner of the grid (marked 'Finish' in the diagram below).
How many possible unique paths are there?
Gri... | {
"repo_name": "rcanepa/cs-fundamentals",
"path": "python/interview_questions/unique_paths.py",
"copies": "1",
"size": "1605",
"license": "mit",
"hash": 4877051687653773000,
"line_mean": 23.3181818182,
"line_max": 99,
"alpha_frac": 0.53894081,
"autogenerated": false,
"ratio": 3.0455407969639468,
... |
'''A robots.txt cache.'''
from functools import partial
import threading
import time
from cachetools import LRUCache
from .policy import DefaultObjectPolicy, ReraiseExceptionPolicy
from ..robots import Robots, AllowNone, Agent
from .. import logger
class ExpiringObject(object):
'''Wrap an object that expires o... | {
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"path": "reppy/cache/__init__.py",
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"size": "3586",
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"line_max": 86,
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"""A rough translation of an example from the Java Tutorial
http://java.sun.com/docs/books/tutorial/
This example shows how to do very simple Canvas Drawing
"""
from java import applet, awt
from pawt import GridBag
class CoordinatesDemo(applet.Applet):
def init(self):
bag = GridBag(self)
self.framedArea = Fr... | {
"repo_name": "nelmiux/CarnotKE",
"path": "jyhton/Demo/applet/deprecated/CoordinatesDemo.py",
"copies": "12",
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"""A rough translation of an example from the Java Tutorial
http://java.sun.com/docs/books/tutorial/
This example shows how to use List
"""
from java import applet, awt
from java.awt.event import ItemEvent
from pawt import GridBag
class ListDemo(applet.Applet):
def fillList(self, list, names):
list.actionPerfor... | {
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"path": "include/jython/Demo/applet/ListDemo.py",
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""" A route is a function that returns a dict consisting of {number: message}
key/values. I figured it'd be nice to keep them separate from
models, which seem strictly tied to database tables in django. The only
thing the rest of SMS should see is the ROUTES dispatch table.
routes are divided into the ... | {
"repo_name": "hwayne/safehouse",
"path": "sms/routes/routes.py",
"copies": "1",
"size": "2245",
"license": "apache-2.0",
"hash": -6803259418297146000,
"line_mean": 39.0892857143,
"line_max": 80,
"alpha_frac": 0.7024498886,
"autogenerated": false,
"ratio": 4.2120075046904315,
"config_test": fal... |
"""A routine for generating measurement records that can be fed to different
estimators for comparison purposes
"""
from __future__ import division, print_function
import numpy as np
from model import HaarTestModel
from qubit_dst.dst_povm_sampling import DSTDistribution
from qinfer.smc import SMCUpdater
from qinfer.r... | {
"repo_name": "jarthurgross/seq_mon_car",
"path": "src/seq_mon_car/gen_meas_record.py",
"copies": "1",
"size": "2073",
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"conf... |
# A row measuring seven units in length has red blocks with a minimum
# length of three units placed on it, such that any two red blocks
# (which are allowed to be different lengths) are separated by at
# least one black square. There are exactly seventeen ways of doing
# this.
# B B B B B B B R R R B B B B ... | {
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"path": "src/114.py",
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"autogenerated": false,
"ratio": 2.744186046511628,
"config_test": false,
"has_no_keywords": false... |
# A row of five black square tiles is to have a number of its tiles
# replaced with coloured oblong tiles chosen from red (length two),
# green (length three), or blue (length four).
# If red tiles are chosen there are exactly seven ways this can be
# done.
# R R K K K K R R K K K K R R K K K K R R
# ... | {
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"path": "src/116.py",
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"line_mean": 26.3846153846,
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# Arpegiattors
import random
from itertools import cycle
from pprint import pformat
from zope.interface import Interface, Attribute, implements
from twisted.python import log
from bl.debug import debug, DEBUG
from bl.utils import getClock, exhaustCall
__all__ = [
'IArp', 'IndexedArp', 'AscArp', 'DescArp', 'Or... | {
"repo_name": "djfroofy/beatlounge",
"path": "bl/arp.py",
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"""Arpegio's models."""
from __future__ import unicode_literals
from django.utils.encoding import python_2_unicode_compatible
from django.template.defaultfilters import slugify, striptags
from django.utils.timezone import now
from django.db import models
@python_2_unicode_compatible
class ContentMixin(models.Model):... | {
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"path": "arpegio/core/models.py",
"copies": "1",
"size": "1900",
"license": "bsd-3-clause",
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"config_test"... |
"""Arpegio's templatetags."""
import re
from django import template
from django.utils.html import format_html
from django.utils.safestring import mark_safe
from django.template.defaultfilters import stringfilter
register = template.Library()
@register.filter()
@stringfilter
def more(text, url='#'):
"""Adds a '... | {
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"path": "arpegio/core/templatetags/arpegio_tags.py",
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# ARP Suite - Run ARP Commands From Command Line
import sys
import arp_mitm as mitm
import arp_sslstrip as sslstrip
import arp_listen as listen
import arp_request as request
import arp_cache as cache
import arp_reconnaissance as recon
import arp_interactive as interactive
if __name__ == "__main__":
arguments = sys.ar... | {
"repo_name": "monkeesuit/school",
"path": "Network Security/ARP/arp suite/py/arp.py",
"copies": "1",
"size": "7562",
"license": "mit",
"hash": -2187622124215015700,
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"line_max": 80,
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"confi... |
#Arquivo que contem os parametros do jogo
quantidade_jogadores = 2 #quantidade de Jogadores
jogadores = [] #array que contem os jogadores(na ordem de jogo)
tamanho_tabuleiro = 40 #tamanho do array do tabuleiro (sempre multiplo de 4 para o tabuleiro ficar quadrado)
quantidade_dados = 2 #quantos dados serao usados
quant... | {
"repo_name": "fcrozetta/Text-Based-Monopoly",
"path": "Configuracoes.py",
"copies": "1",
"size": "1268",
"license": "mit",
"hash": 8191924199828407000,
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"line_max": 108,
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"autogenerated": false,
"ratio": 2.3656716417910446,
"config_test": false,... |
arr = [0x00, 0x5F, 0x87, 0xAF, 0xD7, 0xFF]
def get_place(num):
if num == 0xff:
return 5
for index, i in enumerate(arr):
if i > num:
return index - (1 if num - arr[index - 1] <= i - num else 0)
def color(num):
if num%0xa0a0a == 0x80808:
return 232 + int((num - 0x080808... | {
"repo_name": "CsTarepanda/cuiImage",
"path": "old/tocol.py",
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"size": "1086",
"license": "mit",
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"line_max": 72,
"alpha_frac": 0.4447513812,
"autogenerated": false,
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"config_test": false,
"has_n... |
arr = [-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
expect = [-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]
def next_greatest_element_slow(arr: list) -> list:
"""
Get the Next Greatest Element (NGE) for all elements in a list.
Maximum element present after the current one which i... | {
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"path": "data_structures/stacks/next_greater_element.py",
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# Arranged probability
#
# Problem 100
#
# If a box contains twenty-one coloured discs, composed of fifteen blue discs and six red discs, and two discs were
# taken at random, it can be seen that the probability of taking two blue discs, P(BB) = (15/21)×(14/20) = 1/2.
# The next such arrangement, for which there is exa... | {
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class Queue(object):
def __init__(self, max_size):
self.queue = [None] * (max_size + 1)
self.enq = 0
self.deq = 0
self.n = 0
def increase(self, n):
n += 1
if n >= len(self.queue):
n -= len(self.queue)
return n
def enqueue(self, v):
... | {
"repo_name": "BartMassey/nb-misc",
"path": "arrayqueue.py",
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"license": "mit",
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"has_n... |
# Array based union find data structure
# P: The array, which encodes the set membership of all the elements
class UFarray:
def __init__(self):
# Array which holds label -> set equivalences
self.P = []
# Name of the next label, when one is created
self.label = 0
def makeLabel... | {
"repo_name": "spwhitt/cclabel",
"path": "ufarray.py",
"copies": "3",
"size": "1751",
"license": "unlicense",
"hash": 1773855529449242000,
"line_mean": 27.2419354839,
"line_max": 68,
"alpha_frac": 0.5242718447,
"autogenerated": false,
"ratio": 3.6103092783505155,
"config_test": false,
"has_no... |
"""Array buffer class.
@todo: Implement slicing to allow for C{glVertexAttribPointer} with C{size}, C{stride}, and C{pointer} parameters.
@author: Stephan Wenger
@date: 2012-02-29
"""
import numpy as _np
import glitter.raw as _gl
from glitter.utils import buffer_dimensions_to_primitive, primitive_to_buffer_dimensio... | {
"repo_name": "swenger/glitter",
"path": "glitter/arrays/arraybuffer.py",
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"size": "2182",
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"""Array container types.
A parray.type is used to create a data structure that describes an list of a
particular subtype. The methods provided to a user expose a list-like interface
to the user. A parray.type's interface inherits from ptype.container and will
always have a .value that's a list. In most cases, a parra... | {
"repo_name": "arizvisa/syringe",
"path": "lib/ptypes/parray.py",
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"""Array data-type implementations (abstraction points for GL array types"""
import ctypes
import OpenGL
from OpenGL import constants, plugins
from OpenGL.arrays import formathandler
from OpenGL import logs
log = logs.getLog( 'OpenGL.arrays.arraydatatype' )
from OpenGL import acceleratesupport
ADT = None
if accelerat... | {
"repo_name": "frederica07/Dragon_Programming_Process",
"path": "PyOpenGL-3.0.2/OpenGL/arrays/arraydatatype.py",
"copies": "2",
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"license": "bsd-2-clause",
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... |
"""Array definitions.
Contains arrays, beamforming, and null-steering.
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.tri as tri
from .geometry import GeometryMixin
from .element import MonopoleElement
class BaseArrayMixin(GeometryMixin):
"""Core array functionality, including plots... | {
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"path": "arrayprocessing/array.py",
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# array generator for _mm512_permutexvar_epi8
def main():
arr = generate_array()
code = render(arr)
print code
def generate_array():
shuffle_input_tbl = [0] * 64
src_index = 0
for i in xrange(0, 64, 4):
# 32-bit input: [00000000|ccdddddd|bbbbcccc|aaaaaabb]
# ... | {
"repo_name": "WojciechMula/base64simd",
"path": "encode/script/permutexvar_parameters.py",
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"size": "1085",
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# array in Fortran starts from 0, in python starts from 0
# To avoid confusion for Python user, the phase and element index will +1
#
import os
import numpy as np
# &&&& tq function &&&&
from liboctqpy import pytq as ptq
# ============= initialize
def tqini():
ptq('ini',0,1.0,' ')
return None
# ============= read... | {
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"has_no_keywords"... |
"""Array interaction tools."""
# --- import --------------------------------------------------------------------------------------
import numpy as np
from .. import exceptions as wt_exceptions
# --- define --------------------------------------------------------------------------------------
__all__ = [
"c... | {
"repo_name": "wright-group/WrightTools",
"path": "WrightTools/kit/_array.py",
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# Array I/O to text files
#
# seb changed Numeric to numarray - 2003-Apr-07
# seb changed numarray to numpy - 2006-Jul-22
# Written by Konrad Hinsen <hinsen@cnrs-orleans.fr>
# last revision: 2001-12-5
#
"""This module contains elementary support for I/O of one- and
two-dimensional numerical arrays to and from plain... | {
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"path": "Chromagnon/Priithon/ArrayIO.py",
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# array matching index (strength) to numerical value
master_array = ['2','3','4','5','6','7','8','9','T','J','Q','K','A']
# pythonic hack to determine if an input string is an integer
def test(s):
try:
return int(s)
except ValueError:
return -1
# function that returns the index of the numLegalAc... | {
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"path": "PokerBots_2017/sample_bot/prefloplogic.py",
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"c... |
# Array methods which are called by the both the C-code for the method
# and the Python code for the NumPy-namespace function
from numpy.core import multiarray as mu
from numpy.core import umath as um
from numpy.core.numeric import asanyarray
def _amax(a, axis=None, out=None, keepdims=False):
return um.maximum.re... | {
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# Array methods which are called by the both the C-code for the method
# and the Python code for the NumPy-namespace function
#from numpy.core import multiarray as mu
#from numpy.core import umath as um
import _numpypy as mu
um = mu
from numpy.core.numeric import asanyarray
def _amax(a, axis=None, out=None, keepdims=... | {
"repo_name": "ojii/sandlib",
"path": "lib/lib_pypy/numpypy/core/_methods.py",
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# Array methods which are called by the both the C-code for the method
# and the Python code for the NumPy-namespace function
import multiarray as mu
import umath as um
from numeric import asanyarray
def _amax(a, axis=None, out=None, keepdims=False):
return um.maximum.reduce(a, axis=axis,
... | {
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""" Array of all possible menus """
menus = []
########## Module wrapping menus and their creation ##########
##
# @brief A class wrapping the menu objects.
#
# Note: These ARE the menus that go in the nav
class Menu:
##
# @brief Create a new menu object
#
# @param name Actual string for the appearing... | {
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"path": "pswebsite/menus.py",
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"""array of bits, represented as int in C++"""
from collections import Sequence
from ctypes import cdll
bit_array = cdll.LoadLibrary('lib/lib_bit_array.so')
class BitArray(Sequence):
"""an array of bits, wrapped C"""
def __init__(self, length):
assert length >= 0
self.length = length
... | {
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'''array of objects'''
class A:
def foo(self) -> string:
return 'xxxx'
class B(A):
def foo(self) -> string:
return 'hello'
class C(A):
def foo(self) -> string:
return 'world'
def push( arr:[]int, x:int ):
arr.append( x )
def push2( arr:[]*A, x:*A ):
arr.append( x )
def my... | {
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"""Array operations
"""
# Copyright (c) 2013 Clarinova. This file is licensed under the terms of the
# Revised BSD License, included in this distribution as LICENSE.txt
from numpy import *
from ambry.geo import Point
def std_norm(a):
"""Normalize to +-4 sigma on the range 0 to 1"""
mean = a.mean()
std ... | {
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"""Array operations
"""
# Copyright (c) 2013 Clarinova. This file is licensed under the terms of the
# Revised BSD License, included in this distribution as LICENSE.txt
from numpy import *
from databundles.geo import Point
def std_norm(a):
"""Normalize to +-4 sigma on the range 0 to 1"""
mean = a.mean()
... | {
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# Array ops
# Given an array A of size n, print the number
# of distinct elements in A for every frame of
# size k
def printKElems(A,k):
for i in xrange(len(A)-k):
print len( set([i:k+i+1]) )
# From a sorted array, find all A[i] + A[j] = 0
def findIfij(A):
m = len(A)/2
if len(A)%2 != 0: m = m+ 1
pairs = []
... | {
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"path": "Algorithms/arrayOps.py",
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"h... |
"""Array printing function
$Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $
"""
__all__ = ["array2string", "set_printoptions", "get_printoptions"]
__docformat__ = 'restructuredtext'
#
# Written by Konrad Hinsen <hinsenk@ere.umontreal.ca>
# last revision: 1996-3-13
# modified by Jim Hugunin 1997-3-3 for... | {
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"""Array printing function
$Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $
"""
__all__ = ["array2string", "array_str", "array_repr", "set_string_function",
"set_printoptions", "get_printoptions", "printoptions",
"format_float_positional", "format_float_scientific"]
__docformat__ = ... | {
"repo_name": "numpy/numpy",
"path": "numpy/core/arrayprint.py",
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"""Array printing function
$Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $
"""
from __future__ import division, absolute_import, print_function
__all__ = ["array2string", "array_str", "array_repr", "set_string_function",
"set_printoptions", "get_printoptions", "format_float_positional",
... | {
"repo_name": "ryfeus/lambda-packs",
"path": "Keras_tensorflow_nightly/source2.7/numpy/core/arrayprint.py",
"copies": "2",
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"""Array printing function
$Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $
"""
from __future__ import division, absolute_import, print_function
__all__ = ["array2string", "set_printoptions", "get_printoptions"]
__docformat__ = 'restructuredtext'
#
# Written by Konrad Hinsen <hinsenk@ere.umontreal.ca>
... | {
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"path": "numpy/core/arrayprint.py",
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"""Array printing function
"""
from __future__ import absolute_import, division, print_function
__all__ = ["array2string", "set_printoptions", "get_printoptions"]
__docformat__ = 'restructuredtext'
from ...py2help import xrange
#
# Written by Konrad Hinsen <hinsenk@ere.umontreal.ca>
# last revision: 1996-3-13
# mo... | {
"repo_name": "AbhiAgarwal/blaze",
"path": "blaze/io/_printing/_arrayprint.py",
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"... |
"""Array printing function
"""
from __future__ import absolute_import, division, print_function
from ...py2help import xrange
__all__ = ["array2string", "set_printoptions", "get_printoptions"]
__docformat__ = 'restructuredtext'
#
# Written by Konrad Hinsen <hinsenk@ere.umontreal.ca>
# last revision: 1996-3-13
# m... | {
"repo_name": "aaronmartin0303/blaze",
"path": "blaze/io/_printing/_arrayprint.py",
"copies": "2",
"size": "23373",
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"""Arrays of variable-length arrays.
Examples
========
Create a JaggedArray that stores link IDs for the links attached to the
nodes of a 3x3 grid.
>>> from landlab.utils.jaggedarray import JaggedArray
>>> links_at_node = JaggedArray([
... [0, 6],
... [1, 7, 0],
... [8, 1],
... [2, 9, 6],
... [3,... | {
"repo_name": "decvalts/landlab",
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"""Arrays of variable-length arrays.
Implements a JaggedArray class using numpy masked arrays.
Examples
========
Create a JaggedArray that stores link IDs for the links attached to the
nodes of a 3x3 grid.
>>> from landlab.utils.jaggedarray_ma import JaggedArray
>>> links_at_node = JaggedArray([
... [0, 6],
...... | {
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# arrays.py 19/01/2016 D.J.Whale
class Array():
def __init__(self, *args):
self.data = []
if len(args) != 0:
for a in args:
if type(a)==list:
for item in a:
self.data.append(item)
else:
sel... | {
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""" Array support
Ideas based on numpy ndarray, but limited functionality.
Implementation heavily influenced by GDA scisoftpy,
Copyright 2010 Diamond Light Source Ltd.
@author: Kay Kasemir
"""
import math
import org.csstudio.ndarray.NDType as NDType
import org.csstudio.ndarray.NDArray as NDArray
import org.csstudio... | {
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""" Array support unit test
@author: Kay Kasemir
"""
import unittest
import math
orig_int = int
from numjy import *
class ScanDataTest(unittest.TestCase):
def testVersion(self):
print version
self.assertTrue(version_info > (0, 0))
def testCreateZeros(self):
a = zeros(5)
... | {
"repo_name": "ControlSystemStudio/cs-studio",
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"autogenerate... |
"""array_to_latex converts Numpy and Pandas arrays to formatted LaTeX."""
from setuptools import setup
import os
# Utility function to read the README file.
# Used for the long_description. It's nice, because now 1) we have a top level
# README file and 2) it's easier to type in the README file than to put a raw
# s... | {
"repo_name": "josephcslater/array_to_latex",
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"... |
""" Array utilities
"""
from __future__ import absolute_import
import numpy as np
def strides_from(shape, dtype, order='C'):
""" Return strides as for continuous array shape `shape` and given `dtype`
Parameters
----------
shape : sequence
shape of array to calculate strides from
dtype : dt... | {
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""" Array utilities
"""
import numpy as np
def strides_from(shape, dtype, order='C'):
""" Return strides as for continuous array shape `shape` and given `dtype`
Parameters
----------
shape : sequence
shape of array to calculate strides from
dtype : dtype-like
dtype specifier for ar... | {
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... |
"""Arridity"""
import datetime
from pandas.io.sql import read_sql
import numpy as np
import matplotlib.dates as mdates
from pyiem.plot.use_agg import plt
from pyiem.util import get_autoplot_context, get_dbconn
from pyiem.exceptions import NoDataFound
def get_description():
""" Return a dict describing how to cal... | {
"repo_name": "akrherz/iem",
"path": "htdocs/plotting/auto/scripts100/p149.py",
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"config_test... |
arr = [
"37107287533902102798797998220837590246510135740250",
"46376937677490009712648124896970078050417018260538",
"74324986199524741059474233309513058123726617309629",
"91942213363574161572522430563301811072406154908250",
"23067588207539346171171980310421047513778063246676",
"89261670696623633820136378418383684178734... | {
"repo_name": "parin2092/cook",
"path": "euler/p13.py",
"copies": "2",
"size": "5700",
"license": "mit",
"hash": 4656719075403551000,
"line_mean": 46.5,
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"alpha_frac": 0.9050877193,
"autogenerated": false,
"ratio": 2.2118742724097786,
"config_test": false,
"has_no_keywords": fa... |
##Arrr, me mateys! Yer' challenge fer' today be a tough one. It be gettin awfully borein' on the high seas, so yer' job be to create a pirate based fightin' game! This game oughter' be turn based, and you oughter' be able to pick yer attacks every turn. The best game'll be winnin' some custom flair, and all the rest o'... | {
"repo_name": "ngmhprogramming/dailyprogrammer",
"path": "Python/python_hard_5.py",
"copies": "1",
"size": "3324",
"license": "mit",
"hash": 5689617239030351000,
"line_mean": 48.3636363636,
"line_max": 349,
"alpha_frac": 0.5767148014,
"autogenerated": false,
"ratio": 3.5286624203821657,
"config... |
ARRUMAR
import Pmw
import Tkinter as tk
import matplotlib as mpl
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from os import chdir,listdir,path,getcwd
class PlotWindow():
def __init__(self,shot=0,plo... | {
"repo_name": "CassioAmador/profile_tcabr",
"path": "visualization_tools/plot_prof2.py",
"copies": "1",
"size": "5175",
"license": "mit",
"hash": -547969588773308500,
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"autogenerated": false,
"ratio": 3.400131406044678,
"con... |
ARRUMAR
"""
Function: Evaluates the maximum density of the plasma, if it is lower than the maximum
probing frequency. Try to find a jump in the group delay
Authors:
Cassio Amador (cassioamador at yahoo.com.br)
Gilson Ronchi (gronchi at if.usp.br)
TODO: choose best one and erase the other
"""
from os import pat... | {
"repo_name": "CassioAmador/profile_tcabr",
"path": "src/proc_ne_max.py",
"copies": "1",
"size": "2727",
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"line_max": 93,
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ARRUMAR
"""
Given a shot_number, it reads all files in 'prof_folder' to plot it.
With a slider, it is possible to change time of profile with a mouse.
author: Cassio Amador
TODO: read from 'ini' file.
???
"""
from os import chdir,listdir,path
import pylab as p
from input_explorer import inputExplorer
from proc_prof... | {
"repo_name": "CassioAmador/profile_tcabr",
"path": "visualization_tools/plot_prof4.py",
"copies": "1",
"size": "1414",
"license": "mit",
"hash": 979322776490369000,
"line_mean": 23.3793103448,
"line_max": 71,
"alpha_frac": 0.6371994342,
"autogenerated": false,
"ratio": 2.72972972972973,
"confi... |
'''Arsenal API bulk node_groups.'''
# Copyright 2015 CityGrid Media, 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 re... | {
"repo_name": "CityGrid/arsenal",
"path": "server/arsenalweb/views/api/bulk_node_groups.py",
"copies": "1",
"size": "4689",
"license": "apache-2.0",
"hash": 380222964193164100,
"line_mean": 38.075,
"line_max": 127,
"alpha_frac": 0.5886116443,
"autogenerated": false,
"ratio": 4.000853242320819,
... |
'''Arsenal API data_centers.'''
# Copyright 2015 CityGrid Media, 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 requir... | {
"repo_name": "CityGrid/arsenal",
"path": "server/arsenalweb/views/api/data_centers.py",
"copies": "1",
"size": "8778",
"license": "apache-2.0",
"hash": 8244757016190514000,
"line_mean": 32.632183908,
"line_max": 119,
"alpha_frac": 0.5830485304,
"autogenerated": false,
"ratio": 4.082790697674419,... |
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