content stringlengths 1 1.04M ⌀ |
|---|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
-- VHDL example file
library ieee;
use ieee.std_logic_1164.all;
entity inverter is
port(a : in std_logic;
b : out std_logic);
end entity;
architecture rtl of inverter is
begin
b <= not a;
end architecture;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2014, Aeroflex Gaisler
-- Copyright (C) 2015 - 2016, Cobham Gaisler
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: iopad_ddr, iopad_ddrv, iopad_ddrvv
-- File: iopad_ddr.vhd
-- Author: Jan Andersson - Aeroflex Gaisler
-- Description: Wrapper that instantiates an iopad connected to DDR register.
-- Special case for easic90 tech since this tech requires that
-- oe is directly connected between DDR register and pad.
------------------------------------------------------------------------------
library techmap;
library ieee;
use ieee.std_logic_1164.all;
use techmap.gencomp.all;
use techmap.allddr.all;
use techmap.allpads.all;
entity iopad_ddr is
generic (
tech : integer := 0;
level : integer := 0;
slew : integer := 0;
voltage : integer := x33v;
strength : integer := 12;
oepol : integer := 0);
port (
pad : inout std_ulogic;
i1, i2 : in std_ulogic; -- Input H and L
en : in std_ulogic; -- Output enable
o1, o2 : out std_ulogic; -- Output H and L
c1, c2 : in std_ulogic;
ce : in std_ulogic;
r : in std_ulogic;
s : in std_ulogic);
end;
architecture rtl of iopad_ddr is
signal oe, oen, d, q : std_ulogic;
begin
def: if (tech /= easic90) generate
p : iopad generic map (tech, level, slew, voltage, strength, oepol)
port map (pad, q, en, d);
ddrregi : ddr_ireg generic map (tech)
port map (o1, o2, c1, c2, ce, d, r, s);
ddrrego : ddr_oreg generic map (tech)
port map (q, c1, c2, ce, i1, i2, r, s);
oe <= '0'; oen <= '0'; -- Not used in this configuration
end generate def;
nex : if (tech = easic90) generate
oen <= not en when oepol /= padoen_polarity(tech) else en;
p : nextreme_iopad generic map (level, slew, voltage, strength)
port map (pad, q, oe, d);
ddrregi : nextreme_iddr_reg
port map (ck => c1, d => d, qh => o1, ql => o2, rstb => r);
ddrrego : nextreme_oddr_reg
port map (ck => c1, dh => i1, dl => i2, doe => oen, q => q,
oe => oe, rstb => r);
end generate;
end;
library techmap;
library ieee;
use ieee.std_logic_1164.all;
use techmap.gencomp.all;
entity iopad_ddrv is
generic (
tech : integer := 0;
level : integer := 0;
slew : integer := 0;
voltage : integer := x33v;
strength : integer := 12;
width : integer := 1;
oepol : integer := 0);
port (
pad : inout std_logic_vector(width-1 downto 0);
i1, i2 : in std_logic_vector(width-1 downto 0);
en : in std_ulogic;
o1, o2 : out std_logic_vector(width-1 downto 0);
c1, c2 : in std_ulogic;
ce : in std_ulogic;
r : in std_ulogic;
s : in std_ulogic);
end;
architecture rtl of iopad_ddrv is
begin
v : for j in width-1 downto 0 generate
x0 : iopad_ddr generic map (tech, level, slew, voltage, strength, oepol)
port map (pad(j), i1(j), i2(j), en, o1(j), o2(j), c1, c2, ce, r, s);
end generate;
end;
library techmap;
library ieee;
use ieee.std_logic_1164.all;
use techmap.gencomp.all;
entity iopad_ddrvv is
generic (
tech : integer := 0;
level : integer := 0;
slew : integer := 0;
voltage : integer := x33v;
strength : integer := 12;
width : integer := 1;
oepol : integer := 0);
port (
pad : inout std_logic_vector(width-1 downto 0);
i1, i2 : in std_logic_vector(width-1 downto 0);
en : in std_logic_vector(width-1 downto 0);
o1, o2 : out std_logic_vector(width-1 downto 0);
c1, c2 : in std_ulogic;
ce : in std_ulogic;
r : in std_ulogic;
s : in std_ulogic);
end;
architecture rtl of iopad_ddrvv is
begin
v : for j in width-1 downto 0 generate
x0 : iopad_ddr generic map (tech, level, slew, voltage, strength, oepol)
port map (pad(j), i1(j), i2(j), en(j), o1(j), o2(j), c1, c2, ce, r, s);
end generate;
end;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2014, Aeroflex Gaisler
-- Copyright (C) 2015, Cobham Gaisler
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
------------------------------------------------------------------------------
-- Entity: memctrl
-- File: memctrl.vhd
-- Author: Jiri Gaisler - Gaisler Research
-- Description: Memory controller package
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library grlib;
use grlib.amba.all;
library gaisler;
use gaisler.memctrl.all;
package memoryctrl is
component mctrl
generic (
hindex : integer := 0;
pindex : integer := 0;
romaddr : integer := 16#000#;
rommask : integer := 16#E00#;
ioaddr : integer := 16#200#;
iomask : integer := 16#E00#;
ramaddr : integer := 16#400#;
rammask : integer := 16#C00#;
paddr : integer := 0;
pmask : integer := 16#fff#;
wprot : integer := 0;
invclk : integer := 0;
fast : integer := 0;
romasel : integer := 28;
sdrasel : integer := 29;
srbanks : integer := 4;
ram8 : integer := 0;
ram16 : integer := 0;
sden : integer := 0;
sepbus : integer := 0;
sdbits : integer := 32;
sdlsb : integer := 2;
oepol : integer := 0;
syncrst : integer := 0;
pageburst : integer := 0;
scantest : integer := 0;
mobile : integer := 0
);
port (
rst : in std_ulogic;
clk : in std_ulogic;
memi : in memory_in_type;
memo : out memory_out_type;
ahbsi : in ahb_slv_in_type;
ahbso : out ahb_slv_out_type;
apbi : in apb_slv_in_type;
apbo : out apb_slv_out_type;
wpo : in wprot_out_type;
sdo : out sdram_out_type
);
end component;
end;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_arith.all;
use ieee.std_logic_unsigned.all;
use ha00.all;
entity topha00 is
port(
A0: in std_logic ;
B0: in std_logic ;
S0: out std_logic ;
C0: out std_logic );
end;
architecture topha0 of topha00 is
begin
U0: and00 port map (Aa => A0,
Ba => B0,
Ya => C0);
U1: xor00 port map (Ax => A0,
Bx => B0,
Yx => S0);
end topha0;
|
-- Copyright 1986-1999, 2001-2013 Xilinx, Inc. All Rights Reserved.
-- --------------------------------------------------------------------------------
-- Tool Version: Vivado v.2013.4 (lin64) Build 353583 Mon Dec 9 17:26:26 MST 2013
-- Date : Sat Mar 15 17:45:54 2014
-- Host : macbook running 64-bit Arch Linux
-- Command : write_vhdl -force -mode funcsim
-- /home/keith/Documents/VHDL-lib/top/lab_2/part_1/build/lab2_part1.srcs/sources_1/ip/clk_video/clk_video_funcsim.vhdl
-- Design : clk_video
-- Purpose : This VHDL netlist is a functional simulation representation of the design and should not be modified or
-- synthesized. This netlist cannot be used for SDF annotated simulation.
-- Device : xc7z020clg484-1
-- --------------------------------------------------------------------------------
library IEEE; use IEEE.STD_LOGIC_1164.ALL;
library UNISIM; use UNISIM.VCOMPONENTS.ALL;
entity clk_videoclk_video_clk_wiz is
port (
locked : out STD_LOGIC;
clk_193MHz : out STD_LOGIC;
clk_100MHz : in STD_LOGIC
);
end clk_videoclk_video_clk_wiz;
architecture STRUCTURE of clk_videoclk_video_clk_wiz is
signal \<const0>\ : STD_LOGIC;
signal \<const1>\ : STD_LOGIC;
signal clk_100MHz_clk_video : STD_LOGIC;
signal clk_193MHz_clk_video : STD_LOGIC;
signal clkfbout_buf_clk_video : STD_LOGIC;
signal clkfbout_clk_video : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKFBOUTB_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKFBSTOPPED_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKINSTOPPED_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKOUT0B_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKOUT1_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKOUT1B_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKOUT2_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKOUT2B_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKOUT3_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKOUT3B_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKOUT4_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKOUT5_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_CLKOUT6_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_DRDY_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_PSDONE_UNCONNECTED : STD_LOGIC;
signal NLW_mmcm_adv_inst_DO_UNCONNECTED : STD_LOGIC_VECTOR ( 15 downto 0 );
attribute box_type : string;
attribute box_type of clkf_buf : label is "PRIMITIVE";
attribute box_type of clkin1_bufg : label is "PRIMITIVE";
attribute box_type of clkout1_buf : label is "PRIMITIVE";
attribute box_type of mmcm_adv_inst : label is "PRIMITIVE";
begin
GND: unisim.vcomponents.GND
port map (
G => \<const0>\
);
VCC: unisim.vcomponents.VCC
port map (
P => \<const1>\
);
clkf_buf: unisim.vcomponents.BUFG
port map (
I => clkfbout_clk_video,
O => clkfbout_buf_clk_video
);
clkin1_bufg: unisim.vcomponents.BUFG
port map (
I => clk_100MHz,
O => clk_100MHz_clk_video
);
clkout1_buf: unisim.vcomponents.BUFG
port map (
I => clk_193MHz_clk_video,
O => clk_193MHz
);
mmcm_adv_inst: unisim.vcomponents.MMCME2_ADV
generic map(
BANDWIDTH => "OPTIMIZED",
CLKFBOUT_MULT_F => 30.875000,
CLKFBOUT_PHASE => 0.000000,
CLKFBOUT_USE_FINE_PS => false,
CLKIN1_PERIOD => 10.000000,
CLKIN2_PERIOD => 0.000000,
CLKOUT0_DIVIDE_F => 4.000000,
CLKOUT0_DUTY_CYCLE => 0.500000,
CLKOUT0_PHASE => 0.000000,
CLKOUT0_USE_FINE_PS => false,
CLKOUT1_DIVIDE => 1,
CLKOUT1_DUTY_CYCLE => 0.500000,
CLKOUT1_PHASE => 0.000000,
CLKOUT1_USE_FINE_PS => false,
CLKOUT2_DIVIDE => 1,
CLKOUT2_DUTY_CYCLE => 0.500000,
CLKOUT2_PHASE => 0.000000,
CLKOUT2_USE_FINE_PS => false,
CLKOUT3_DIVIDE => 1,
CLKOUT3_DUTY_CYCLE => 0.500000,
CLKOUT3_PHASE => 0.000000,
CLKOUT3_USE_FINE_PS => false,
CLKOUT4_CASCADE => false,
CLKOUT4_DIVIDE => 1,
CLKOUT4_DUTY_CYCLE => 0.500000,
CLKOUT4_PHASE => 0.000000,
CLKOUT4_USE_FINE_PS => false,
CLKOUT5_DIVIDE => 1,
CLKOUT5_DUTY_CYCLE => 0.500000,
CLKOUT5_PHASE => 0.000000,
CLKOUT5_USE_FINE_PS => false,
CLKOUT6_DIVIDE => 1,
CLKOUT6_DUTY_CYCLE => 0.500000,
CLKOUT6_PHASE => 0.000000,
CLKOUT6_USE_FINE_PS => false,
COMPENSATION => "BUF_IN",
DIVCLK_DIVIDE => 4,
IS_CLKINSEL_INVERTED => '0',
IS_PSEN_INVERTED => '0',
IS_PSINCDEC_INVERTED => '0',
IS_PWRDWN_INVERTED => '0',
IS_RST_INVERTED => '0',
REF_JITTER1 => 0.010000,
REF_JITTER2 => 0.000000,
SS_EN => "FALSE",
SS_MODE => "CENTER_HIGH",
SS_MOD_PERIOD => 10000,
STARTUP_WAIT => false
)
port map (
CLKFBIN => clkfbout_buf_clk_video,
CLKFBOUT => clkfbout_clk_video,
CLKFBOUTB => NLW_mmcm_adv_inst_CLKFBOUTB_UNCONNECTED,
CLKFBSTOPPED => NLW_mmcm_adv_inst_CLKFBSTOPPED_UNCONNECTED,
CLKIN1 => clk_100MHz_clk_video,
CLKIN2 => \<const0>\,
CLKINSEL => \<const1>\,
CLKINSTOPPED => NLW_mmcm_adv_inst_CLKINSTOPPED_UNCONNECTED,
CLKOUT0 => clk_193MHz_clk_video,
CLKOUT0B => NLW_mmcm_adv_inst_CLKOUT0B_UNCONNECTED,
CLKOUT1 => NLW_mmcm_adv_inst_CLKOUT1_UNCONNECTED,
CLKOUT1B => NLW_mmcm_adv_inst_CLKOUT1B_UNCONNECTED,
CLKOUT2 => NLW_mmcm_adv_inst_CLKOUT2_UNCONNECTED,
CLKOUT2B => NLW_mmcm_adv_inst_CLKOUT2B_UNCONNECTED,
CLKOUT3 => NLW_mmcm_adv_inst_CLKOUT3_UNCONNECTED,
CLKOUT3B => NLW_mmcm_adv_inst_CLKOUT3B_UNCONNECTED,
CLKOUT4 => NLW_mmcm_adv_inst_CLKOUT4_UNCONNECTED,
CLKOUT5 => NLW_mmcm_adv_inst_CLKOUT5_UNCONNECTED,
CLKOUT6 => NLW_mmcm_adv_inst_CLKOUT6_UNCONNECTED,
DADDR(6) => \<const0>\,
DADDR(5) => \<const0>\,
DADDR(4) => \<const0>\,
DADDR(3) => \<const0>\,
DADDR(2) => \<const0>\,
DADDR(1) => \<const0>\,
DADDR(0) => \<const0>\,
DCLK => \<const0>\,
DEN => \<const0>\,
DI(15) => \<const0>\,
DI(14) => \<const0>\,
DI(13) => \<const0>\,
DI(12) => \<const0>\,
DI(11) => \<const0>\,
DI(10) => \<const0>\,
DI(9) => \<const0>\,
DI(8) => \<const0>\,
DI(7) => \<const0>\,
DI(6) => \<const0>\,
DI(5) => \<const0>\,
DI(4) => \<const0>\,
DI(3) => \<const0>\,
DI(2) => \<const0>\,
DI(1) => \<const0>\,
DI(0) => \<const0>\,
DO(15 downto 0) => NLW_mmcm_adv_inst_DO_UNCONNECTED(15 downto 0),
DRDY => NLW_mmcm_adv_inst_DRDY_UNCONNECTED,
DWE => \<const0>\,
LOCKED => locked,
PSCLK => \<const0>\,
PSDONE => NLW_mmcm_adv_inst_PSDONE_UNCONNECTED,
PSEN => \<const0>\,
PSINCDEC => \<const0>\,
PWRDWN => \<const0>\,
RST => \<const0>\
);
end STRUCTURE;
library IEEE; use IEEE.STD_LOGIC_1164.ALL;
library UNISIM; use UNISIM.VCOMPONENTS.ALL;
entity clk_video is
port (
clk_100MHz : in STD_LOGIC;
clk_193MHz : out STD_LOGIC;
locked : out STD_LOGIC
);
attribute NotValidForBitStream : boolean;
attribute NotValidForBitStream of clk_video : entity is true;
attribute core_generation_info : string;
attribute core_generation_info of clk_video : entity is "clk_video,clk_wiz_v5_1,{component_name=clk_video,use_phase_alignment=true,use_min_o_jitter=false,use_max_i_jitter=false,use_dyn_phase_shift=false,use_inclk_switchover=false,use_dyn_reconfig=false,enable_axi=0,feedback_source=FDBK_AUTO,PRIMITIVE=MMCM,num_out_clk=1,clkin1_period=10.0,clkin2_period=10.0,use_power_down=false,use_reset=false,use_locked=true,use_inclk_stopped=false,feedback_type=SINGLE,CLOCK_MGR_TYPE=NA,manual_override=false}";
end clk_video;
architecture STRUCTURE of clk_video is
begin
U0: entity work.clk_videoclk_video_clk_wiz
port map (
clk_100MHz => clk_100MHz,
clk_193MHz => clk_193MHz,
locked => locked
);
end STRUCTURE;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
entity rounder_tb is
end entity;
architecture rounder_tb_arq of rounder_tb is
signal man_in: std_logic_vector(7 downto 0) := (others => '0');
signal exp_in: std_logic_vector(2 downto 0) := (others => '0');
signal man_out: std_logic_vector(5 downto 0) := (others => '0');
signal exp_out: std_logic_vector(2 downto 0) := (others => '0');
signal exponent_addition_cout: std_logic := '0';
component rounder is
generic(
TOTAL_BITS:natural := 23;
EXP_BITS: natural := 6
);
port (
exponent_addition_cout: in std_logic;
man_in: in std_logic_vector(TOTAL_BITS - EXP_BITS downto 0);
exp_in: in std_logic_vector(EXP_BITS - 1 downto 0);
man_out : out std_logic_vector(TOTAL_BITS - EXP_BITS - 2 downto 0);
exp_out : out std_logic_vector(EXP_BITS - 1 downto 0)
);
end component;
for rounder_0: rounder use entity work.rounder;
begin
rounder_0: rounder
generic map(TOTAL_BITS => 10, EXP_BITS => 3)
port map(
exponent_addition_cout => exponent_addition_cout,
man_in => man_in,
exp_in => exp_in,
man_out => man_out,
exp_out => exp_out
);
process
type pattern_type is record
mi : std_logic_vector(7 downto 0);
ei : std_logic_vector(2 downto 0);
mo : std_logic_vector(5 downto 0);
ec : std_logic;
eo : std_logic_vector(2 downto 0);
end record;
-- The patterns to apply.
type pattern_array is array (natural range<>) of pattern_type;
constant patterns : pattern_array := (
("00000000","000","000000",'0',"000"),
("11111111","000","000000",'0',"000"),
("10000001","110","000000",'0',"100")
);
begin
for i in patterns'range loop
-- Set the inputs.
man_in <= patterns(i).mi;
exp_in <= patterns(i).ei;
exponent_addition_cout <= patterns(i).ec;
-- Wait for the results.
wait for 1 ns;
-- Check the outputs.
assert man_out = patterns(i).mo report "BAD MANTISSA: " & integer'image(to_integer(unsigned(man_out))) severity error;
assert exp_out = patterns(i).eo report "BAD EXPONENT: " & integer'image(to_integer(unsigned(exp_out))) severity error;
end loop;
assert false report "end of test" severity note;
wait;
end process;
end;
|
entity sub is
port (
a : in bit_vector(1 downto 0);
b, c : out bit_vector(1 downto 0);
d : out bit_vector(1 downto 0) := "00" );
end entity;
architecture test of sub is
begin
(b(0), c(0)) <= a;
(b(1), c(1)) <= a;
d(1) <= '1';
end architecture;
-------------------------------------------------------------------------------
entity elab18 is
end entity;
architecture test of elab18 is
signal a1, b1, a2, b2 : bit_vector(1 downto 0);
begin
sub1_i: entity work.sub
port map (
a => a1,
b => b1,
c => open );
process is
begin
a1 <= "01";
wait for 1 ns;
assert b1 = "00";
wait;
end process;
sub2_i: entity work.sub
port map (
a => a2,
b => b2 );
process is
begin
a2 <= "10";
wait for 1 ns;
assert b2 = "11";
wait;
end process;
end architecture;
|
entity sub is
port (
a : in bit_vector(1 downto 0);
b, c : out bit_vector(1 downto 0);
d : out bit_vector(1 downto 0) := "00" );
end entity;
architecture test of sub is
begin
(b(0), c(0)) <= a;
(b(1), c(1)) <= a;
d(1) <= '1';
end architecture;
-------------------------------------------------------------------------------
entity elab18 is
end entity;
architecture test of elab18 is
signal a1, b1, a2, b2 : bit_vector(1 downto 0);
begin
sub1_i: entity work.sub
port map (
a => a1,
b => b1,
c => open );
process is
begin
a1 <= "01";
wait for 1 ns;
assert b1 = "00";
wait;
end process;
sub2_i: entity work.sub
port map (
a => a2,
b => b2 );
process is
begin
a2 <= "10";
wait for 1 ns;
assert b2 = "11";
wait;
end process;
end architecture;
|
entity sub is
port (
a : in bit_vector(1 downto 0);
b, c : out bit_vector(1 downto 0);
d : out bit_vector(1 downto 0) := "00" );
end entity;
architecture test of sub is
begin
(b(0), c(0)) <= a;
(b(1), c(1)) <= a;
d(1) <= '1';
end architecture;
-------------------------------------------------------------------------------
entity elab18 is
end entity;
architecture test of elab18 is
signal a1, b1, a2, b2 : bit_vector(1 downto 0);
begin
sub1_i: entity work.sub
port map (
a => a1,
b => b1,
c => open );
process is
begin
a1 <= "01";
wait for 1 ns;
assert b1 = "00";
wait;
end process;
sub2_i: entity work.sub
port map (
a => a2,
b => b2 );
process is
begin
a2 <= "10";
wait for 1 ns;
assert b2 = "11";
wait;
end process;
end architecture;
|
entity sub is
port (
a : in bit_vector(1 downto 0);
b, c : out bit_vector(1 downto 0);
d : out bit_vector(1 downto 0) := "00" );
end entity;
architecture test of sub is
begin
(b(0), c(0)) <= a;
(b(1), c(1)) <= a;
d(1) <= '1';
end architecture;
-------------------------------------------------------------------------------
entity elab18 is
end entity;
architecture test of elab18 is
signal a1, b1, a2, b2 : bit_vector(1 downto 0);
begin
sub1_i: entity work.sub
port map (
a => a1,
b => b1,
c => open );
process is
begin
a1 <= "01";
wait for 1 ns;
assert b1 = "00";
wait;
end process;
sub2_i: entity work.sub
port map (
a => a2,
b => b2 );
process is
begin
a2 <= "10";
wait for 1 ns;
assert b2 = "11";
wait;
end process;
end architecture;
|
library ieee;
use ieee.std_logic_1164.all;
use work.aua_types.all;
entity aua_tb is
end aua_tb;
architecture aua_test of aua_tb is
component aua
port (
clk_in : in std_logic;
reset_pin : in std_logic;
switch_pins : in std_logic_vector(15 downto 0);
led_pins : out std_logic_vector(15 downto 0);
digit0_pins : out std_logic_vector(6 downto 0);
digit1_pins : out std_logic_vector(6 downto 0);
digit2_pins : out std_logic_vector(6 downto 0);
digit3_pins : out std_logic_vector(6 downto 0);
digit4_pins : out std_logic_vector(6 downto 0);
digit5_pins : out std_logic_vector(6 downto 0);
sram_addr : out std_logic_vector(RAM_ADDR_SIZE-1 downto 0);
sram_dq : inout word_t;
sram_we : out std_logic;
-- sram_oe : out std_logic;
sram_ub : out std_logic;
sram_lb : out std_logic;
-- sram_ce : out std_logic
txd : out std_logic;
rxd : in std_ulogic
--~ ncts : in std_logic;
--~ nrts : out std_logic
);
end component;
signal clk : std_logic;
signal reset_pin : std_logic;
signal switch_pins : std_logic_vector(15 downto 0);
signal led_pins : std_logic_vector(15 downto 0);
signal digit0_pins : std_logic_vector(6 downto 0);
signal digit1_pins : std_logic_vector(6 downto 0);
signal digit2_pins : std_logic_vector(6 downto 0);
signal digit3_pins : std_logic_vector(6 downto 0);
signal digit4_pins : std_logic_vector(6 downto 0);
signal digit5_pins : std_logic_vector(6 downto 0);
signal sram_addr : std_logic_vector(RAM_ADDR_SIZE-1 downto 0);
signal sram_dq : word_t;
signal sram_we : std_logic;
signal sram_ub : std_logic;
signal sram_lb : std_logic;
signal txd : std_logic;
signal rxd : std_logic;
constant freq: natural := 70000000;
constant clk_tick: natural := 1000000000/freq;
constant uart_baud: natural := 115200;
constant uart_clks: natural := freq/uart_baud;
begin
uart: process
procedure icwait(cycles : natural) is
begin
for i in 1 to cycles loop
wait until clk = '0' and clk'event;
end loop;
end;
begin
rxd <= '0';
icwait(uart_clks*2);
rxd <= '1';
icwait(uart_clks);
rxd <= '0';
icwait(uart_clks*2);
rxd <= '1';
icwait(uart_clks*2);
rxd <= '0';
icwait(uart_clks*2);
rxd <= '1';
icwait(uart_clks*2);
end process;
--~ aua1: configuration work.aua_cache
aua1: aua
port map (
clk_in => clk,
reset_pin => reset_pin,
switch_pins => switch_pins,
led_pins => led_pins,
digit0_pins => digit0_pins,
digit1_pins => digit1_pins,
digit2_pins => digit2_pins,
digit3_pins => digit3_pins,
digit4_pins => digit4_pins,
digit5_pins => digit5_pins,
sram_addr => sram_addr,
sram_dq => sram_dq,
sram_we => sram_we,
sram_ub => sram_ub,
sram_lb => sram_lb,
txd => txd,
rxd => rxd
);
CLKGEN: process
begin
clk <= '1';
wait for 10 ns;
clk <= '0';
wait for 10 ns;
end process CLKGEN;
TEST: process
procedure icwait(cycles : natural) is
begin
for i in 1 to cycles loop
wait until clk = '0' and clk'event;
end loop;
end;
begin
reset_pin <= '0';
switch_pins <= x"ffff";
sram_dq <= (others => '0');
--~ rxd <= '0';
icwait(2);
reset_pin <= '1';
icwait(9000);
assert false report "sim finish" SEVERITY failure;
end process TEST;
end aua_test;
|
---------------------------------------------------
-- School: University of Massachusetts Dartmouth
-- Department: Computer and Electrical Engineering
-- Engineer: Daniel Noyes
--
-- Create Date: SPRING 2015
-- Module Name: ALU_TB
-- Project Name: ALU
-- Target Devices: Spartan-3E
-- Tool versions: Xilinx ISE 14.7
-- Description: ALU Test Bench
---------------------------------------------------
LIBRARY ieee;
USE ieee.STD_LOGIC_1164.ALL;
USE ieee.STD_LOGIC_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY ALU_tb_vhd IS
END ALU_tb_vhd;
ARCHITECTURE behavior OF ALU_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT ALU
PORT( CLK : in STD_LOGIC;
RA : in STD_LOGIC_VECTOR(7 downto 0);
RB : in STD_LOGIC_VECTOR(7 downto 0);
OPCODE : in STD_LOGIC_VECTOR(3 downto 0);
CCR : out STD_LOGIC_VECTOR(3 downto 0);
ALU_OUT : out STD_LOGIC_VECTOR(7 downto 0);
LDST_OUT : out STD_LOGIC_VECTOR(7 downto 0));
END COMPONENT;
--Inputs
SIGNAL CLK : STD_LOGIC := '0';
SIGNAL RA : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL RB : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL OPCODE : STD_LOGIC_VECTOR(3 downto 0) := (others=>'0');
--Outputs
SIGNAL CCR : STD_LOGIC_VECTOR(3 downto 0);
SIGNAL ALU_OUT : STD_LOGIC_VECTOR(7 downto 0);
SIGNAL LDST_OUT : STD_LOGIC_VECTOR(7 downto 0);
-- Constants
-- constant period : time := 20 ns; -- 25 MHz =(1/20E-9)/2
constant period : time := 10 ns; -- 50 MHz =(1/10E-9)/2
-- constant period : time := 5 ns; -- 100 MHz =(1/10E-9)/2
--Condition Codes
SIGNAL N : STD_LOGIC := '0';
SIGNAL Z : STD_LOGIC := '0';
SIGNAL V : STD_LOGIC := '0';
SIGNAL C : STD_LOGIC := '0';
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: ALU PORT MAP( CLK => CLK,
RA => RA,
RB => RB,
OPCODE => OPCODE,
CCR => CCR,
ALU_OUT => ALU_OUT,
LDST_OUT => LDST_OUT);
-- Assign condition code bits
N <= CCR(3); -- N - Negative
Z <= CCR(2); -- Z - Zero
V <= CCR(1); -- V - Overflow
C <= CCR(0); -- C - Carry/Borrow
-- Generate clock
gen_Clock: process
begin
CLK <= '0'; wait for period;
CLK <= '1'; wait for period;
end process gen_Clock;
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
report "Start ALU Test Bench" severity NOTE;
----- Register-Register Arithmetic Tests -----
RA <= "00000101"; -- 5
RB <= "00000011"; -- 3
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 8) report "Failed ADD 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed ADD 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 2) report "Failed SUB 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = 1) report "Failed AND 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = 7) report "Failed OR 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01100100"; -- 100
RB <= "00110010"; -- 50
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 150) report "Failed ADD 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "1010") report "Failed ADD 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 50) report "Failed SUB 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = "0000000000100000") report "Failed AND 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = "0000000001110110") report "Failed OR 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END Arithmetic Tests -----
----- CCR Tests -----
RA <= "00000000";
RB <= "00000000";
OPCODE <= "0000"; wait for period;
assert (CCR(2) = '1') report "Failed CCR 1 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000001";
RB <= "11111111";
OPCODE <= "0000"; wait for period;
assert (Z = '1') report "Failed CCR 2 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
assert (C = '1') report "Failed CCR 3 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000000";
RB <= "00000001";
OPCODE <= "0001"; wait for period;
assert (N = '1') report "Failed CCR 4 (N). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (V = '1') report "Failed CCR 5 (V). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "11111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (C = '1') report "Failed CCR 6 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END CCR Tests -----
-- Mem Test --
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY READ(1) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= X"16";
OPCODE <= "1010"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY WRITE ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = X"16") report "Failed MEMORY READ(2) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
-- END Mem Test --
report "Finish ALU Test Bench" severity NOTE;
wait; -- will wait forever
END PROCESS;
END;
|
---------------------------------------------------
-- School: University of Massachusetts Dartmouth
-- Department: Computer and Electrical Engineering
-- Engineer: Daniel Noyes
--
-- Create Date: SPRING 2015
-- Module Name: ALU_TB
-- Project Name: ALU
-- Target Devices: Spartan-3E
-- Tool versions: Xilinx ISE 14.7
-- Description: ALU Test Bench
---------------------------------------------------
LIBRARY ieee;
USE ieee.STD_LOGIC_1164.ALL;
USE ieee.STD_LOGIC_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY ALU_tb_vhd IS
END ALU_tb_vhd;
ARCHITECTURE behavior OF ALU_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT ALU
PORT( CLK : in STD_LOGIC;
RA : in STD_LOGIC_VECTOR(7 downto 0);
RB : in STD_LOGIC_VECTOR(7 downto 0);
OPCODE : in STD_LOGIC_VECTOR(3 downto 0);
CCR : out STD_LOGIC_VECTOR(3 downto 0);
ALU_OUT : out STD_LOGIC_VECTOR(7 downto 0);
LDST_OUT : out STD_LOGIC_VECTOR(7 downto 0));
END COMPONENT;
--Inputs
SIGNAL CLK : STD_LOGIC := '0';
SIGNAL RA : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL RB : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL OPCODE : STD_LOGIC_VECTOR(3 downto 0) := (others=>'0');
--Outputs
SIGNAL CCR : STD_LOGIC_VECTOR(3 downto 0);
SIGNAL ALU_OUT : STD_LOGIC_VECTOR(7 downto 0);
SIGNAL LDST_OUT : STD_LOGIC_VECTOR(7 downto 0);
-- Constants
-- constant period : time := 20 ns; -- 25 MHz =(1/20E-9)/2
constant period : time := 10 ns; -- 50 MHz =(1/10E-9)/2
-- constant period : time := 5 ns; -- 100 MHz =(1/10E-9)/2
--Condition Codes
SIGNAL N : STD_LOGIC := '0';
SIGNAL Z : STD_LOGIC := '0';
SIGNAL V : STD_LOGIC := '0';
SIGNAL C : STD_LOGIC := '0';
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: ALU PORT MAP( CLK => CLK,
RA => RA,
RB => RB,
OPCODE => OPCODE,
CCR => CCR,
ALU_OUT => ALU_OUT,
LDST_OUT => LDST_OUT);
-- Assign condition code bits
N <= CCR(3); -- N - Negative
Z <= CCR(2); -- Z - Zero
V <= CCR(1); -- V - Overflow
C <= CCR(0); -- C - Carry/Borrow
-- Generate clock
gen_Clock: process
begin
CLK <= '0'; wait for period;
CLK <= '1'; wait for period;
end process gen_Clock;
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
report "Start ALU Test Bench" severity NOTE;
----- Register-Register Arithmetic Tests -----
RA <= "00000101"; -- 5
RB <= "00000011"; -- 3
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 8) report "Failed ADD 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed ADD 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 2) report "Failed SUB 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = 1) report "Failed AND 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = 7) report "Failed OR 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01100100"; -- 100
RB <= "00110010"; -- 50
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 150) report "Failed ADD 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "1010") report "Failed ADD 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 50) report "Failed SUB 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = "0000000000100000") report "Failed AND 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = "0000000001110110") report "Failed OR 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END Arithmetic Tests -----
----- CCR Tests -----
RA <= "00000000";
RB <= "00000000";
OPCODE <= "0000"; wait for period;
assert (CCR(2) = '1') report "Failed CCR 1 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000001";
RB <= "11111111";
OPCODE <= "0000"; wait for period;
assert (Z = '1') report "Failed CCR 2 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
assert (C = '1') report "Failed CCR 3 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000000";
RB <= "00000001";
OPCODE <= "0001"; wait for period;
assert (N = '1') report "Failed CCR 4 (N). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (V = '1') report "Failed CCR 5 (V). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "11111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (C = '1') report "Failed CCR 6 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END CCR Tests -----
-- Mem Test --
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY READ(1) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= X"16";
OPCODE <= "1010"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY WRITE ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = X"16") report "Failed MEMORY READ(2) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
-- END Mem Test --
report "Finish ALU Test Bench" severity NOTE;
wait; -- will wait forever
END PROCESS;
END;
|
---------------------------------------------------
-- School: University of Massachusetts Dartmouth
-- Department: Computer and Electrical Engineering
-- Engineer: Daniel Noyes
--
-- Create Date: SPRING 2015
-- Module Name: ALU_TB
-- Project Name: ALU
-- Target Devices: Spartan-3E
-- Tool versions: Xilinx ISE 14.7
-- Description: ALU Test Bench
---------------------------------------------------
LIBRARY ieee;
USE ieee.STD_LOGIC_1164.ALL;
USE ieee.STD_LOGIC_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY ALU_tb_vhd IS
END ALU_tb_vhd;
ARCHITECTURE behavior OF ALU_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT ALU
PORT( CLK : in STD_LOGIC;
RA : in STD_LOGIC_VECTOR(7 downto 0);
RB : in STD_LOGIC_VECTOR(7 downto 0);
OPCODE : in STD_LOGIC_VECTOR(3 downto 0);
CCR : out STD_LOGIC_VECTOR(3 downto 0);
ALU_OUT : out STD_LOGIC_VECTOR(7 downto 0);
LDST_OUT : out STD_LOGIC_VECTOR(7 downto 0));
END COMPONENT;
--Inputs
SIGNAL CLK : STD_LOGIC := '0';
SIGNAL RA : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL RB : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL OPCODE : STD_LOGIC_VECTOR(3 downto 0) := (others=>'0');
--Outputs
SIGNAL CCR : STD_LOGIC_VECTOR(3 downto 0);
SIGNAL ALU_OUT : STD_LOGIC_VECTOR(7 downto 0);
SIGNAL LDST_OUT : STD_LOGIC_VECTOR(7 downto 0);
-- Constants
-- constant period : time := 20 ns; -- 25 MHz =(1/20E-9)/2
constant period : time := 10 ns; -- 50 MHz =(1/10E-9)/2
-- constant period : time := 5 ns; -- 100 MHz =(1/10E-9)/2
--Condition Codes
SIGNAL N : STD_LOGIC := '0';
SIGNAL Z : STD_LOGIC := '0';
SIGNAL V : STD_LOGIC := '0';
SIGNAL C : STD_LOGIC := '0';
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: ALU PORT MAP( CLK => CLK,
RA => RA,
RB => RB,
OPCODE => OPCODE,
CCR => CCR,
ALU_OUT => ALU_OUT,
LDST_OUT => LDST_OUT);
-- Assign condition code bits
N <= CCR(3); -- N - Negative
Z <= CCR(2); -- Z - Zero
V <= CCR(1); -- V - Overflow
C <= CCR(0); -- C - Carry/Borrow
-- Generate clock
gen_Clock: process
begin
CLK <= '0'; wait for period;
CLK <= '1'; wait for period;
end process gen_Clock;
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
report "Start ALU Test Bench" severity NOTE;
----- Register-Register Arithmetic Tests -----
RA <= "00000101"; -- 5
RB <= "00000011"; -- 3
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 8) report "Failed ADD 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed ADD 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 2) report "Failed SUB 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = 1) report "Failed AND 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = 7) report "Failed OR 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01100100"; -- 100
RB <= "00110010"; -- 50
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 150) report "Failed ADD 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "1010") report "Failed ADD 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 50) report "Failed SUB 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = "0000000000100000") report "Failed AND 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = "0000000001110110") report "Failed OR 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END Arithmetic Tests -----
----- CCR Tests -----
RA <= "00000000";
RB <= "00000000";
OPCODE <= "0000"; wait for period;
assert (CCR(2) = '1') report "Failed CCR 1 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000001";
RB <= "11111111";
OPCODE <= "0000"; wait for period;
assert (Z = '1') report "Failed CCR 2 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
assert (C = '1') report "Failed CCR 3 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000000";
RB <= "00000001";
OPCODE <= "0001"; wait for period;
assert (N = '1') report "Failed CCR 4 (N). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (V = '1') report "Failed CCR 5 (V). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "11111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (C = '1') report "Failed CCR 6 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END CCR Tests -----
-- Mem Test --
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY READ(1) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= X"16";
OPCODE <= "1010"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY WRITE ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = X"16") report "Failed MEMORY READ(2) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
-- END Mem Test --
report "Finish ALU Test Bench" severity NOTE;
wait; -- will wait forever
END PROCESS;
END;
|
---------------------------------------------------
-- School: University of Massachusetts Dartmouth
-- Department: Computer and Electrical Engineering
-- Engineer: Daniel Noyes
--
-- Create Date: SPRING 2015
-- Module Name: ALU_TB
-- Project Name: ALU
-- Target Devices: Spartan-3E
-- Tool versions: Xilinx ISE 14.7
-- Description: ALU Test Bench
---------------------------------------------------
LIBRARY ieee;
USE ieee.STD_LOGIC_1164.ALL;
USE ieee.STD_LOGIC_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY ALU_tb_vhd IS
END ALU_tb_vhd;
ARCHITECTURE behavior OF ALU_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT ALU
PORT( CLK : in STD_LOGIC;
RA : in STD_LOGIC_VECTOR(7 downto 0);
RB : in STD_LOGIC_VECTOR(7 downto 0);
OPCODE : in STD_LOGIC_VECTOR(3 downto 0);
CCR : out STD_LOGIC_VECTOR(3 downto 0);
ALU_OUT : out STD_LOGIC_VECTOR(7 downto 0);
LDST_OUT : out STD_LOGIC_VECTOR(7 downto 0));
END COMPONENT;
--Inputs
SIGNAL CLK : STD_LOGIC := '0';
SIGNAL RA : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL RB : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL OPCODE : STD_LOGIC_VECTOR(3 downto 0) := (others=>'0');
--Outputs
SIGNAL CCR : STD_LOGIC_VECTOR(3 downto 0);
SIGNAL ALU_OUT : STD_LOGIC_VECTOR(7 downto 0);
SIGNAL LDST_OUT : STD_LOGIC_VECTOR(7 downto 0);
-- Constants
-- constant period : time := 20 ns; -- 25 MHz =(1/20E-9)/2
constant period : time := 10 ns; -- 50 MHz =(1/10E-9)/2
-- constant period : time := 5 ns; -- 100 MHz =(1/10E-9)/2
--Condition Codes
SIGNAL N : STD_LOGIC := '0';
SIGNAL Z : STD_LOGIC := '0';
SIGNAL V : STD_LOGIC := '0';
SIGNAL C : STD_LOGIC := '0';
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: ALU PORT MAP( CLK => CLK,
RA => RA,
RB => RB,
OPCODE => OPCODE,
CCR => CCR,
ALU_OUT => ALU_OUT,
LDST_OUT => LDST_OUT);
-- Assign condition code bits
N <= CCR(3); -- N - Negative
Z <= CCR(2); -- Z - Zero
V <= CCR(1); -- V - Overflow
C <= CCR(0); -- C - Carry/Borrow
-- Generate clock
gen_Clock: process
begin
CLK <= '0'; wait for period;
CLK <= '1'; wait for period;
end process gen_Clock;
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
report "Start ALU Test Bench" severity NOTE;
----- Register-Register Arithmetic Tests -----
RA <= "00000101"; -- 5
RB <= "00000011"; -- 3
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 8) report "Failed ADD 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed ADD 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 2) report "Failed SUB 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = 1) report "Failed AND 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = 7) report "Failed OR 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01100100"; -- 100
RB <= "00110010"; -- 50
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 150) report "Failed ADD 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "1010") report "Failed ADD 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 50) report "Failed SUB 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = "0000000000100000") report "Failed AND 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = "0000000001110110") report "Failed OR 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END Arithmetic Tests -----
----- CCR Tests -----
RA <= "00000000";
RB <= "00000000";
OPCODE <= "0000"; wait for period;
assert (CCR(2) = '1') report "Failed CCR 1 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000001";
RB <= "11111111";
OPCODE <= "0000"; wait for period;
assert (Z = '1') report "Failed CCR 2 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
assert (C = '1') report "Failed CCR 3 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000000";
RB <= "00000001";
OPCODE <= "0001"; wait for period;
assert (N = '1') report "Failed CCR 4 (N). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (V = '1') report "Failed CCR 5 (V). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "11111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (C = '1') report "Failed CCR 6 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END CCR Tests -----
-- Mem Test --
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY READ(1) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= X"16";
OPCODE <= "1010"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY WRITE ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = X"16") report "Failed MEMORY READ(2) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
-- END Mem Test --
report "Finish ALU Test Bench" severity NOTE;
wait; -- will wait forever
END PROCESS;
END;
|
---------------------------------------------------
-- School: University of Massachusetts Dartmouth
-- Department: Computer and Electrical Engineering
-- Engineer: Daniel Noyes
--
-- Create Date: SPRING 2015
-- Module Name: ALU_TB
-- Project Name: ALU
-- Target Devices: Spartan-3E
-- Tool versions: Xilinx ISE 14.7
-- Description: ALU Test Bench
---------------------------------------------------
LIBRARY ieee;
USE ieee.STD_LOGIC_1164.ALL;
USE ieee.STD_LOGIC_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY ALU_tb_vhd IS
END ALU_tb_vhd;
ARCHITECTURE behavior OF ALU_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT ALU
PORT( CLK : in STD_LOGIC;
RA : in STD_LOGIC_VECTOR(7 downto 0);
RB : in STD_LOGIC_VECTOR(7 downto 0);
OPCODE : in STD_LOGIC_VECTOR(3 downto 0);
CCR : out STD_LOGIC_VECTOR(3 downto 0);
ALU_OUT : out STD_LOGIC_VECTOR(7 downto 0);
LDST_OUT : out STD_LOGIC_VECTOR(7 downto 0));
END COMPONENT;
--Inputs
SIGNAL CLK : STD_LOGIC := '0';
SIGNAL RA : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL RB : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL OPCODE : STD_LOGIC_VECTOR(3 downto 0) := (others=>'0');
--Outputs
SIGNAL CCR : STD_LOGIC_VECTOR(3 downto 0);
SIGNAL ALU_OUT : STD_LOGIC_VECTOR(7 downto 0);
SIGNAL LDST_OUT : STD_LOGIC_VECTOR(7 downto 0);
-- Constants
-- constant period : time := 20 ns; -- 25 MHz =(1/20E-9)/2
constant period : time := 10 ns; -- 50 MHz =(1/10E-9)/2
-- constant period : time := 5 ns; -- 100 MHz =(1/10E-9)/2
--Condition Codes
SIGNAL N : STD_LOGIC := '0';
SIGNAL Z : STD_LOGIC := '0';
SIGNAL V : STD_LOGIC := '0';
SIGNAL C : STD_LOGIC := '0';
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: ALU PORT MAP( CLK => CLK,
RA => RA,
RB => RB,
OPCODE => OPCODE,
CCR => CCR,
ALU_OUT => ALU_OUT,
LDST_OUT => LDST_OUT);
-- Assign condition code bits
N <= CCR(3); -- N - Negative
Z <= CCR(2); -- Z - Zero
V <= CCR(1); -- V - Overflow
C <= CCR(0); -- C - Carry/Borrow
-- Generate clock
gen_Clock: process
begin
CLK <= '0'; wait for period;
CLK <= '1'; wait for period;
end process gen_Clock;
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
report "Start ALU Test Bench" severity NOTE;
----- Register-Register Arithmetic Tests -----
RA <= "00000101"; -- 5
RB <= "00000011"; -- 3
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 8) report "Failed ADD 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed ADD 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 2) report "Failed SUB 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = 1) report "Failed AND 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = 7) report "Failed OR 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01100100"; -- 100
RB <= "00110010"; -- 50
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 150) report "Failed ADD 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "1010") report "Failed ADD 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 50) report "Failed SUB 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = "0000000000100000") report "Failed AND 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = "0000000001110110") report "Failed OR 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END Arithmetic Tests -----
----- CCR Tests -----
RA <= "00000000";
RB <= "00000000";
OPCODE <= "0000"; wait for period;
assert (CCR(2) = '1') report "Failed CCR 1 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000001";
RB <= "11111111";
OPCODE <= "0000"; wait for period;
assert (Z = '1') report "Failed CCR 2 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
assert (C = '1') report "Failed CCR 3 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000000";
RB <= "00000001";
OPCODE <= "0001"; wait for period;
assert (N = '1') report "Failed CCR 4 (N). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (V = '1') report "Failed CCR 5 (V). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "11111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (C = '1') report "Failed CCR 6 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END CCR Tests -----
-- Mem Test --
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY READ(1) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= X"16";
OPCODE <= "1010"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY WRITE ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = X"16") report "Failed MEMORY READ(2) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
-- END Mem Test --
report "Finish ALU Test Bench" severity NOTE;
wait; -- will wait forever
END PROCESS;
END;
|
---------------------------------------------------
-- School: University of Massachusetts Dartmouth
-- Department: Computer and Electrical Engineering
-- Engineer: Daniel Noyes
--
-- Create Date: SPRING 2015
-- Module Name: ALU_TB
-- Project Name: ALU
-- Target Devices: Spartan-3E
-- Tool versions: Xilinx ISE 14.7
-- Description: ALU Test Bench
---------------------------------------------------
LIBRARY ieee;
USE ieee.STD_LOGIC_1164.ALL;
USE ieee.STD_LOGIC_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY ALU_tb_vhd IS
END ALU_tb_vhd;
ARCHITECTURE behavior OF ALU_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT ALU
PORT( CLK : in STD_LOGIC;
RA : in STD_LOGIC_VECTOR(7 downto 0);
RB : in STD_LOGIC_VECTOR(7 downto 0);
OPCODE : in STD_LOGIC_VECTOR(3 downto 0);
CCR : out STD_LOGIC_VECTOR(3 downto 0);
ALU_OUT : out STD_LOGIC_VECTOR(7 downto 0);
LDST_OUT : out STD_LOGIC_VECTOR(7 downto 0));
END COMPONENT;
--Inputs
SIGNAL CLK : STD_LOGIC := '0';
SIGNAL RA : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL RB : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL OPCODE : STD_LOGIC_VECTOR(3 downto 0) := (others=>'0');
--Outputs
SIGNAL CCR : STD_LOGIC_VECTOR(3 downto 0);
SIGNAL ALU_OUT : STD_LOGIC_VECTOR(7 downto 0);
SIGNAL LDST_OUT : STD_LOGIC_VECTOR(7 downto 0);
-- Constants
-- constant period : time := 20 ns; -- 25 MHz =(1/20E-9)/2
constant period : time := 10 ns; -- 50 MHz =(1/10E-9)/2
-- constant period : time := 5 ns; -- 100 MHz =(1/10E-9)/2
--Condition Codes
SIGNAL N : STD_LOGIC := '0';
SIGNAL Z : STD_LOGIC := '0';
SIGNAL V : STD_LOGIC := '0';
SIGNAL C : STD_LOGIC := '0';
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: ALU PORT MAP( CLK => CLK,
RA => RA,
RB => RB,
OPCODE => OPCODE,
CCR => CCR,
ALU_OUT => ALU_OUT,
LDST_OUT => LDST_OUT);
-- Assign condition code bits
N <= CCR(3); -- N - Negative
Z <= CCR(2); -- Z - Zero
V <= CCR(1); -- V - Overflow
C <= CCR(0); -- C - Carry/Borrow
-- Generate clock
gen_Clock: process
begin
CLK <= '0'; wait for period;
CLK <= '1'; wait for period;
end process gen_Clock;
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
report "Start ALU Test Bench" severity NOTE;
----- Register-Register Arithmetic Tests -----
RA <= "00000101"; -- 5
RB <= "00000011"; -- 3
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 8) report "Failed ADD 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed ADD 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 2) report "Failed SUB 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = 1) report "Failed AND 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = 7) report "Failed OR 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01100100"; -- 100
RB <= "00110010"; -- 50
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 150) report "Failed ADD 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "1010") report "Failed ADD 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 50) report "Failed SUB 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = "0000000000100000") report "Failed AND 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = "0000000001110110") report "Failed OR 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END Arithmetic Tests -----
----- CCR Tests -----
RA <= "00000000";
RB <= "00000000";
OPCODE <= "0000"; wait for period;
assert (CCR(2) = '1') report "Failed CCR 1 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000001";
RB <= "11111111";
OPCODE <= "0000"; wait for period;
assert (Z = '1') report "Failed CCR 2 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
assert (C = '1') report "Failed CCR 3 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000000";
RB <= "00000001";
OPCODE <= "0001"; wait for period;
assert (N = '1') report "Failed CCR 4 (N). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (V = '1') report "Failed CCR 5 (V). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "11111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (C = '1') report "Failed CCR 6 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END CCR Tests -----
-- Mem Test --
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY READ(1) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= X"16";
OPCODE <= "1010"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY WRITE ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = X"16") report "Failed MEMORY READ(2) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
-- END Mem Test --
report "Finish ALU Test Bench" severity NOTE;
wait; -- will wait forever
END PROCESS;
END;
|
---------------------------------------------------
-- School: University of Massachusetts Dartmouth
-- Department: Computer and Electrical Engineering
-- Engineer: Daniel Noyes
--
-- Create Date: SPRING 2015
-- Module Name: ALU_TB
-- Project Name: ALU
-- Target Devices: Spartan-3E
-- Tool versions: Xilinx ISE 14.7
-- Description: ALU Test Bench
---------------------------------------------------
LIBRARY ieee;
USE ieee.STD_LOGIC_1164.ALL;
USE ieee.STD_LOGIC_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY ALU_tb_vhd IS
END ALU_tb_vhd;
ARCHITECTURE behavior OF ALU_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT ALU
PORT( CLK : in STD_LOGIC;
RA : in STD_LOGIC_VECTOR(7 downto 0);
RB : in STD_LOGIC_VECTOR(7 downto 0);
OPCODE : in STD_LOGIC_VECTOR(3 downto 0);
CCR : out STD_LOGIC_VECTOR(3 downto 0);
ALU_OUT : out STD_LOGIC_VECTOR(7 downto 0);
LDST_OUT : out STD_LOGIC_VECTOR(7 downto 0));
END COMPONENT;
--Inputs
SIGNAL CLK : STD_LOGIC := '0';
SIGNAL RA : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL RB : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL OPCODE : STD_LOGIC_VECTOR(3 downto 0) := (others=>'0');
--Outputs
SIGNAL CCR : STD_LOGIC_VECTOR(3 downto 0);
SIGNAL ALU_OUT : STD_LOGIC_VECTOR(7 downto 0);
SIGNAL LDST_OUT : STD_LOGIC_VECTOR(7 downto 0);
-- Constants
-- constant period : time := 20 ns; -- 25 MHz =(1/20E-9)/2
constant period : time := 10 ns; -- 50 MHz =(1/10E-9)/2
-- constant period : time := 5 ns; -- 100 MHz =(1/10E-9)/2
--Condition Codes
SIGNAL N : STD_LOGIC := '0';
SIGNAL Z : STD_LOGIC := '0';
SIGNAL V : STD_LOGIC := '0';
SIGNAL C : STD_LOGIC := '0';
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: ALU PORT MAP( CLK => CLK,
RA => RA,
RB => RB,
OPCODE => OPCODE,
CCR => CCR,
ALU_OUT => ALU_OUT,
LDST_OUT => LDST_OUT);
-- Assign condition code bits
N <= CCR(3); -- N - Negative
Z <= CCR(2); -- Z - Zero
V <= CCR(1); -- V - Overflow
C <= CCR(0); -- C - Carry/Borrow
-- Generate clock
gen_Clock: process
begin
CLK <= '0'; wait for period;
CLK <= '1'; wait for period;
end process gen_Clock;
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
report "Start ALU Test Bench" severity NOTE;
----- Register-Register Arithmetic Tests -----
RA <= "00000101"; -- 5
RB <= "00000011"; -- 3
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 8) report "Failed ADD 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed ADD 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 2) report "Failed SUB 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = 1) report "Failed AND 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = 7) report "Failed OR 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01100100"; -- 100
RB <= "00110010"; -- 50
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 150) report "Failed ADD 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "1010") report "Failed ADD 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 50) report "Failed SUB 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = "0000000000100000") report "Failed AND 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = "0000000001110110") report "Failed OR 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END Arithmetic Tests -----
----- CCR Tests -----
RA <= "00000000";
RB <= "00000000";
OPCODE <= "0000"; wait for period;
assert (CCR(2) = '1') report "Failed CCR 1 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000001";
RB <= "11111111";
OPCODE <= "0000"; wait for period;
assert (Z = '1') report "Failed CCR 2 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
assert (C = '1') report "Failed CCR 3 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000000";
RB <= "00000001";
OPCODE <= "0001"; wait for period;
assert (N = '1') report "Failed CCR 4 (N). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (V = '1') report "Failed CCR 5 (V). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "11111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (C = '1') report "Failed CCR 6 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END CCR Tests -----
-- Mem Test --
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY READ(1) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= X"16";
OPCODE <= "1010"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY WRITE ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = X"16") report "Failed MEMORY READ(2) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
-- END Mem Test --
report "Finish ALU Test Bench" severity NOTE;
wait; -- will wait forever
END PROCESS;
END;
|
---------------------------------------------------
-- School: University of Massachusetts Dartmouth
-- Department: Computer and Electrical Engineering
-- Engineer: Daniel Noyes
--
-- Create Date: SPRING 2015
-- Module Name: ALU_TB
-- Project Name: ALU
-- Target Devices: Spartan-3E
-- Tool versions: Xilinx ISE 14.7
-- Description: ALU Test Bench
---------------------------------------------------
LIBRARY ieee;
USE ieee.STD_LOGIC_1164.ALL;
USE ieee.STD_LOGIC_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY ALU_tb_vhd IS
END ALU_tb_vhd;
ARCHITECTURE behavior OF ALU_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT ALU
PORT( CLK : in STD_LOGIC;
RA : in STD_LOGIC_VECTOR(7 downto 0);
RB : in STD_LOGIC_VECTOR(7 downto 0);
OPCODE : in STD_LOGIC_VECTOR(3 downto 0);
CCR : out STD_LOGIC_VECTOR(3 downto 0);
ALU_OUT : out STD_LOGIC_VECTOR(7 downto 0);
LDST_OUT : out STD_LOGIC_VECTOR(7 downto 0));
END COMPONENT;
--Inputs
SIGNAL CLK : STD_LOGIC := '0';
SIGNAL RA : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL RB : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL OPCODE : STD_LOGIC_VECTOR(3 downto 0) := (others=>'0');
--Outputs
SIGNAL CCR : STD_LOGIC_VECTOR(3 downto 0);
SIGNAL ALU_OUT : STD_LOGIC_VECTOR(7 downto 0);
SIGNAL LDST_OUT : STD_LOGIC_VECTOR(7 downto 0);
-- Constants
-- constant period : time := 20 ns; -- 25 MHz =(1/20E-9)/2
constant period : time := 10 ns; -- 50 MHz =(1/10E-9)/2
-- constant period : time := 5 ns; -- 100 MHz =(1/10E-9)/2
--Condition Codes
SIGNAL N : STD_LOGIC := '0';
SIGNAL Z : STD_LOGIC := '0';
SIGNAL V : STD_LOGIC := '0';
SIGNAL C : STD_LOGIC := '0';
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: ALU PORT MAP( CLK => CLK,
RA => RA,
RB => RB,
OPCODE => OPCODE,
CCR => CCR,
ALU_OUT => ALU_OUT,
LDST_OUT => LDST_OUT);
-- Assign condition code bits
N <= CCR(3); -- N - Negative
Z <= CCR(2); -- Z - Zero
V <= CCR(1); -- V - Overflow
C <= CCR(0); -- C - Carry/Borrow
-- Generate clock
gen_Clock: process
begin
CLK <= '0'; wait for period;
CLK <= '1'; wait for period;
end process gen_Clock;
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
report "Start ALU Test Bench" severity NOTE;
----- Register-Register Arithmetic Tests -----
RA <= "00000101"; -- 5
RB <= "00000011"; -- 3
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 8) report "Failed ADD 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed ADD 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 2) report "Failed SUB 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = 1) report "Failed AND 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = 7) report "Failed OR 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01100100"; -- 100
RB <= "00110010"; -- 50
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 150) report "Failed ADD 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "1010") report "Failed ADD 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 50) report "Failed SUB 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = "0000000000100000") report "Failed AND 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = "0000000001110110") report "Failed OR 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END Arithmetic Tests -----
----- CCR Tests -----
RA <= "00000000";
RB <= "00000000";
OPCODE <= "0000"; wait for period;
assert (CCR(2) = '1') report "Failed CCR 1 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000001";
RB <= "11111111";
OPCODE <= "0000"; wait for period;
assert (Z = '1') report "Failed CCR 2 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
assert (C = '1') report "Failed CCR 3 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000000";
RB <= "00000001";
OPCODE <= "0001"; wait for period;
assert (N = '1') report "Failed CCR 4 (N). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (V = '1') report "Failed CCR 5 (V). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "11111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (C = '1') report "Failed CCR 6 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END CCR Tests -----
-- Mem Test --
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY READ(1) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= X"16";
OPCODE <= "1010"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY WRITE ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = X"16") report "Failed MEMORY READ(2) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
-- END Mem Test --
report "Finish ALU Test Bench" severity NOTE;
wait; -- will wait forever
END PROCESS;
END;
|
---------------------------------------------------
-- School: University of Massachusetts Dartmouth
-- Department: Computer and Electrical Engineering
-- Engineer: Daniel Noyes
--
-- Create Date: SPRING 2015
-- Module Name: ALU_TB
-- Project Name: ALU
-- Target Devices: Spartan-3E
-- Tool versions: Xilinx ISE 14.7
-- Description: ALU Test Bench
---------------------------------------------------
LIBRARY ieee;
USE ieee.STD_LOGIC_1164.ALL;
USE ieee.STD_LOGIC_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY ALU_tb_vhd IS
END ALU_tb_vhd;
ARCHITECTURE behavior OF ALU_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT ALU
PORT( CLK : in STD_LOGIC;
RA : in STD_LOGIC_VECTOR(7 downto 0);
RB : in STD_LOGIC_VECTOR(7 downto 0);
OPCODE : in STD_LOGIC_VECTOR(3 downto 0);
CCR : out STD_LOGIC_VECTOR(3 downto 0);
ALU_OUT : out STD_LOGIC_VECTOR(7 downto 0);
LDST_OUT : out STD_LOGIC_VECTOR(7 downto 0));
END COMPONENT;
--Inputs
SIGNAL CLK : STD_LOGIC := '0';
SIGNAL RA : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL RB : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL OPCODE : STD_LOGIC_VECTOR(3 downto 0) := (others=>'0');
--Outputs
SIGNAL CCR : STD_LOGIC_VECTOR(3 downto 0);
SIGNAL ALU_OUT : STD_LOGIC_VECTOR(7 downto 0);
SIGNAL LDST_OUT : STD_LOGIC_VECTOR(7 downto 0);
-- Constants
-- constant period : time := 20 ns; -- 25 MHz =(1/20E-9)/2
constant period : time := 10 ns; -- 50 MHz =(1/10E-9)/2
-- constant period : time := 5 ns; -- 100 MHz =(1/10E-9)/2
--Condition Codes
SIGNAL N : STD_LOGIC := '0';
SIGNAL Z : STD_LOGIC := '0';
SIGNAL V : STD_LOGIC := '0';
SIGNAL C : STD_LOGIC := '0';
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: ALU PORT MAP( CLK => CLK,
RA => RA,
RB => RB,
OPCODE => OPCODE,
CCR => CCR,
ALU_OUT => ALU_OUT,
LDST_OUT => LDST_OUT);
-- Assign condition code bits
N <= CCR(3); -- N - Negative
Z <= CCR(2); -- Z - Zero
V <= CCR(1); -- V - Overflow
C <= CCR(0); -- C - Carry/Borrow
-- Generate clock
gen_Clock: process
begin
CLK <= '0'; wait for period;
CLK <= '1'; wait for period;
end process gen_Clock;
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
report "Start ALU Test Bench" severity NOTE;
----- Register-Register Arithmetic Tests -----
RA <= "00000101"; -- 5
RB <= "00000011"; -- 3
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 8) report "Failed ADD 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed ADD 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 2) report "Failed SUB 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = 1) report "Failed AND 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = 7) report "Failed OR 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01100100"; -- 100
RB <= "00110010"; -- 50
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 150) report "Failed ADD 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "1010") report "Failed ADD 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 50) report "Failed SUB 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = "0000000000100000") report "Failed AND 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = "0000000001110110") report "Failed OR 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END Arithmetic Tests -----
----- CCR Tests -----
RA <= "00000000";
RB <= "00000000";
OPCODE <= "0000"; wait for period;
assert (CCR(2) = '1') report "Failed CCR 1 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000001";
RB <= "11111111";
OPCODE <= "0000"; wait for period;
assert (Z = '1') report "Failed CCR 2 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
assert (C = '1') report "Failed CCR 3 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000000";
RB <= "00000001";
OPCODE <= "0001"; wait for period;
assert (N = '1') report "Failed CCR 4 (N). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (V = '1') report "Failed CCR 5 (V). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "11111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (C = '1') report "Failed CCR 6 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END CCR Tests -----
-- Mem Test --
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY READ(1) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= X"16";
OPCODE <= "1010"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY WRITE ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = X"16") report "Failed MEMORY READ(2) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
-- END Mem Test --
report "Finish ALU Test Bench" severity NOTE;
wait; -- will wait forever
END PROCESS;
END;
|
---------------------------------------------------
-- School: University of Massachusetts Dartmouth
-- Department: Computer and Electrical Engineering
-- Engineer: Daniel Noyes
--
-- Create Date: SPRING 2015
-- Module Name: ALU_TB
-- Project Name: ALU
-- Target Devices: Spartan-3E
-- Tool versions: Xilinx ISE 14.7
-- Description: ALU Test Bench
---------------------------------------------------
LIBRARY ieee;
USE ieee.STD_LOGIC_1164.ALL;
USE ieee.STD_LOGIC_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY ALU_tb_vhd IS
END ALU_tb_vhd;
ARCHITECTURE behavior OF ALU_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT ALU
PORT( CLK : in STD_LOGIC;
RA : in STD_LOGIC_VECTOR(7 downto 0);
RB : in STD_LOGIC_VECTOR(7 downto 0);
OPCODE : in STD_LOGIC_VECTOR(3 downto 0);
CCR : out STD_LOGIC_VECTOR(3 downto 0);
ALU_OUT : out STD_LOGIC_VECTOR(7 downto 0);
LDST_OUT : out STD_LOGIC_VECTOR(7 downto 0));
END COMPONENT;
--Inputs
SIGNAL CLK : STD_LOGIC := '0';
SIGNAL RA : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL RB : STD_LOGIC_VECTOR(7 downto 0) := (others=>'0');
SIGNAL OPCODE : STD_LOGIC_VECTOR(3 downto 0) := (others=>'0');
--Outputs
SIGNAL CCR : STD_LOGIC_VECTOR(3 downto 0);
SIGNAL ALU_OUT : STD_LOGIC_VECTOR(7 downto 0);
SIGNAL LDST_OUT : STD_LOGIC_VECTOR(7 downto 0);
-- Constants
-- constant period : time := 20 ns; -- 25 MHz =(1/20E-9)/2
constant period : time := 10 ns; -- 50 MHz =(1/10E-9)/2
-- constant period : time := 5 ns; -- 100 MHz =(1/10E-9)/2
--Condition Codes
SIGNAL N : STD_LOGIC := '0';
SIGNAL Z : STD_LOGIC := '0';
SIGNAL V : STD_LOGIC := '0';
SIGNAL C : STD_LOGIC := '0';
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: ALU PORT MAP( CLK => CLK,
RA => RA,
RB => RB,
OPCODE => OPCODE,
CCR => CCR,
ALU_OUT => ALU_OUT,
LDST_OUT => LDST_OUT);
-- Assign condition code bits
N <= CCR(3); -- N - Negative
Z <= CCR(2); -- Z - Zero
V <= CCR(1); -- V - Overflow
C <= CCR(0); -- C - Carry/Borrow
-- Generate clock
gen_Clock: process
begin
CLK <= '0'; wait for period;
CLK <= '1'; wait for period;
end process gen_Clock;
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
report "Start ALU Test Bench" severity NOTE;
----- Register-Register Arithmetic Tests -----
RA <= "00000101"; -- 5
RB <= "00000011"; -- 3
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 8) report "Failed ADD 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed ADD 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 2) report "Failed SUB 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = 1) report "Failed AND 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = 7) report "Failed OR 1. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 1 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01100100"; -- 100
RB <= "00110010"; -- 50
OPCODE <= "0000"; wait for period;
assert (ALU_OUT = 150) report "Failed ADD 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "1010") report "Failed ADD 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0001"; wait for period;
assert (ALU_OUT = 50) report "Failed SUB 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed SUB 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0010"; wait for period;
assert (ALU_OUT = "0000000000100000") report "Failed AND 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed AND 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "0011"; wait for period;
assert (ALU_OUT = "0000000001110110") report "Failed OR 2. ALU_OUT=" & integer'image(to_integer(unsigned(ALU_OUT))) severity ERROR;
assert (CCR = "0000") report "Failed OR 2 - CCR. CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END Arithmetic Tests -----
----- CCR Tests -----
RA <= "00000000";
RB <= "00000000";
OPCODE <= "0000"; wait for period;
assert (CCR(2) = '1') report "Failed CCR 1 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000001";
RB <= "11111111";
OPCODE <= "0000"; wait for period;
assert (Z = '1') report "Failed CCR 2 (Z). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
assert (C = '1') report "Failed CCR 3 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "00000000";
RB <= "00000001";
OPCODE <= "0001"; wait for period;
assert (N = '1') report "Failed CCR 4 (N). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "01111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (V = '1') report "Failed CCR 5 (V). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= "11111111";
RB <= "00000001";
OPCODE <= "0000"; wait for period;
assert (C = '1') report "Failed CCR 6 (C). CCR=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
----- END CCR Tests -----
-- Mem Test --
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY READ(1) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
RA <= X"16";
OPCODE <= "1010"; wait for period;
assert (ALU_OUT = 0) report "Failed MEMORY WRITE ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
OPCODE <= "1001"; wait for period;
assert (ALU_OUT = X"16") report "Failed MEMORY READ(2) ALU_OUT=" & integer'image(to_integer(unsigned(CCR))) severity ERROR;
-- END Mem Test --
report "Finish ALU Test Bench" severity NOTE;
wait; -- will wait forever
END PROCESS;
END;
|
-- Copyright 1986-2017 Xilinx, Inc. All Rights Reserved.
-- --------------------------------------------------------------------------------
-- Tool Version: Vivado v.2017.2.1 (win64) Build 1957588 Wed Aug 9 16:32:24 MDT 2017
-- Date : Fri Sep 22 14:43:38 2017
-- Host : EffulgentTome running 64-bit major release (build 9200)
-- Command : write_vhdl -force -mode funcsim -rename_top decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix -prefix
-- decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_ zqynq_lab_1_design_auto_pc_3_sim_netlist.vhdl
-- Design : zqynq_lab_1_design_auto_pc_3
-- Purpose : This VHDL netlist is a functional simulation representation of the design and should not be modified or
-- synthesized. This netlist cannot be used for SDF annotated simulation.
-- Device : xc7z020clg484-1
-- --------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter is
port (
aclk : in STD_LOGIC;
aresetn : in STD_LOGIC;
s_axi_awid : in STD_LOGIC_VECTOR ( 11 downto 0 );
s_axi_awaddr : in STD_LOGIC_VECTOR ( 31 downto 0 );
s_axi_awlen : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_awsize : in STD_LOGIC_VECTOR ( 2 downto 0 );
s_axi_awburst : in STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_awlock : in STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_awcache : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_awprot : in STD_LOGIC_VECTOR ( 2 downto 0 );
s_axi_awregion : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_awqos : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_awuser : in STD_LOGIC_VECTOR ( 0 to 0 );
s_axi_awvalid : in STD_LOGIC;
s_axi_awready : out STD_LOGIC;
s_axi_wid : in STD_LOGIC_VECTOR ( 11 downto 0 );
s_axi_wdata : in STD_LOGIC_VECTOR ( 31 downto 0 );
s_axi_wstrb : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_wlast : in STD_LOGIC;
s_axi_wuser : in STD_LOGIC_VECTOR ( 0 to 0 );
s_axi_wvalid : in STD_LOGIC;
s_axi_wready : out STD_LOGIC;
s_axi_bid : out STD_LOGIC_VECTOR ( 11 downto 0 );
s_axi_bresp : out STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_buser : out STD_LOGIC_VECTOR ( 0 to 0 );
s_axi_bvalid : out STD_LOGIC;
s_axi_bready : in STD_LOGIC;
s_axi_arid : in STD_LOGIC_VECTOR ( 11 downto 0 );
s_axi_araddr : in STD_LOGIC_VECTOR ( 31 downto 0 );
s_axi_arlen : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_arsize : in STD_LOGIC_VECTOR ( 2 downto 0 );
s_axi_arburst : in STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_arlock : in STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_arcache : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_arprot : in STD_LOGIC_VECTOR ( 2 downto 0 );
s_axi_arregion : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_arqos : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_aruser : in STD_LOGIC_VECTOR ( 0 to 0 );
s_axi_arvalid : in STD_LOGIC;
s_axi_arready : out STD_LOGIC;
s_axi_rid : out STD_LOGIC_VECTOR ( 11 downto 0 );
s_axi_rdata : out STD_LOGIC_VECTOR ( 31 downto 0 );
s_axi_rresp : out STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_rlast : out STD_LOGIC;
s_axi_ruser : out STD_LOGIC_VECTOR ( 0 to 0 );
s_axi_rvalid : out STD_LOGIC;
s_axi_rready : in STD_LOGIC;
m_axi_awid : out STD_LOGIC_VECTOR ( 11 downto 0 );
m_axi_awaddr : out STD_LOGIC_VECTOR ( 31 downto 0 );
m_axi_awlen : out STD_LOGIC_VECTOR ( 7 downto 0 );
m_axi_awsize : out STD_LOGIC_VECTOR ( 2 downto 0 );
m_axi_awburst : out STD_LOGIC_VECTOR ( 1 downto 0 );
m_axi_awlock : out STD_LOGIC_VECTOR ( 0 to 0 );
m_axi_awcache : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_awprot : out STD_LOGIC_VECTOR ( 2 downto 0 );
m_axi_awregion : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_awqos : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_awuser : out STD_LOGIC_VECTOR ( 0 to 0 );
m_axi_awvalid : out STD_LOGIC;
m_axi_awready : in STD_LOGIC;
m_axi_wid : out STD_LOGIC_VECTOR ( 11 downto 0 );
m_axi_wdata : out STD_LOGIC_VECTOR ( 31 downto 0 );
m_axi_wstrb : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_wlast : out STD_LOGIC;
m_axi_wuser : out STD_LOGIC_VECTOR ( 0 to 0 );
m_axi_wvalid : out STD_LOGIC;
m_axi_wready : in STD_LOGIC;
m_axi_bid : in STD_LOGIC_VECTOR ( 11 downto 0 );
m_axi_bresp : in STD_LOGIC_VECTOR ( 1 downto 0 );
m_axi_buser : in STD_LOGIC_VECTOR ( 0 to 0 );
m_axi_bvalid : in STD_LOGIC;
m_axi_bready : out STD_LOGIC;
m_axi_arid : out STD_LOGIC_VECTOR ( 11 downto 0 );
m_axi_araddr : out STD_LOGIC_VECTOR ( 31 downto 0 );
m_axi_arlen : out STD_LOGIC_VECTOR ( 7 downto 0 );
m_axi_arsize : out STD_LOGIC_VECTOR ( 2 downto 0 );
m_axi_arburst : out STD_LOGIC_VECTOR ( 1 downto 0 );
m_axi_arlock : out STD_LOGIC_VECTOR ( 0 to 0 );
m_axi_arcache : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_arprot : out STD_LOGIC_VECTOR ( 2 downto 0 );
m_axi_arregion : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_arqos : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_aruser : out STD_LOGIC_VECTOR ( 0 to 0 );
m_axi_arvalid : out STD_LOGIC;
m_axi_arready : in STD_LOGIC;
m_axi_rid : in STD_LOGIC_VECTOR ( 11 downto 0 );
m_axi_rdata : in STD_LOGIC_VECTOR ( 31 downto 0 );
m_axi_rresp : in STD_LOGIC_VECTOR ( 1 downto 0 );
m_axi_rlast : in STD_LOGIC;
m_axi_ruser : in STD_LOGIC_VECTOR ( 0 to 0 );
m_axi_rvalid : in STD_LOGIC;
m_axi_rready : out STD_LOGIC
);
attribute C_AXI_ADDR_WIDTH : integer;
attribute C_AXI_ADDR_WIDTH of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 32;
attribute C_AXI_ARUSER_WIDTH : integer;
attribute C_AXI_ARUSER_WIDTH of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 1;
attribute C_AXI_AWUSER_WIDTH : integer;
attribute C_AXI_AWUSER_WIDTH of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 1;
attribute C_AXI_BUSER_WIDTH : integer;
attribute C_AXI_BUSER_WIDTH of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 1;
attribute C_AXI_DATA_WIDTH : integer;
attribute C_AXI_DATA_WIDTH of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 32;
attribute C_AXI_ID_WIDTH : integer;
attribute C_AXI_ID_WIDTH of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 12;
attribute C_AXI_RUSER_WIDTH : integer;
attribute C_AXI_RUSER_WIDTH of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 1;
attribute C_AXI_SUPPORTS_READ : integer;
attribute C_AXI_SUPPORTS_READ of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 1;
attribute C_AXI_SUPPORTS_USER_SIGNALS : integer;
attribute C_AXI_SUPPORTS_USER_SIGNALS of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 0;
attribute C_AXI_SUPPORTS_WRITE : integer;
attribute C_AXI_SUPPORTS_WRITE of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 1;
attribute C_AXI_WUSER_WIDTH : integer;
attribute C_AXI_WUSER_WIDTH of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 1;
attribute C_FAMILY : string;
attribute C_FAMILY of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is "zynq";
attribute C_IGNORE_ID : integer;
attribute C_IGNORE_ID of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 0;
attribute C_M_AXI_PROTOCOL : integer;
attribute C_M_AXI_PROTOCOL of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 0;
attribute C_S_AXI_PROTOCOL : integer;
attribute C_S_AXI_PROTOCOL of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 1;
attribute C_TRANSLATION_MODE : integer;
attribute C_TRANSLATION_MODE of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 2;
attribute DowngradeIPIdentifiedWarnings : string;
attribute DowngradeIPIdentifiedWarnings of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is "yes";
attribute P_AXI3 : integer;
attribute P_AXI3 of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 1;
attribute P_AXI4 : integer;
attribute P_AXI4 of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 0;
attribute P_AXILITE : integer;
attribute P_AXILITE of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 2;
attribute P_AXILITE_SIZE : string;
attribute P_AXILITE_SIZE of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is "3'b010";
attribute P_CONVERSION : integer;
attribute P_CONVERSION of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 2;
attribute P_DECERR : string;
attribute P_DECERR of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is "2'b11";
attribute P_INCR : string;
attribute P_INCR of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is "2'b01";
attribute P_PROTECTION : integer;
attribute P_PROTECTION of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is 1;
attribute P_SLVERR : string;
attribute P_SLVERR of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter : entity is "2'b10";
end decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter;
architecture STRUCTURE of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter is
signal \<const0>\ : STD_LOGIC;
signal \^m_axi_arready\ : STD_LOGIC;
signal \^m_axi_awready\ : STD_LOGIC;
signal \^m_axi_bid\ : STD_LOGIC_VECTOR ( 11 downto 0 );
signal \^m_axi_bresp\ : STD_LOGIC_VECTOR ( 1 downto 0 );
signal \^m_axi_buser\ : STD_LOGIC_VECTOR ( 0 to 0 );
signal \^m_axi_bvalid\ : STD_LOGIC;
signal \^m_axi_rdata\ : STD_LOGIC_VECTOR ( 31 downto 0 );
signal \^m_axi_rid\ : STD_LOGIC_VECTOR ( 11 downto 0 );
signal \^m_axi_rlast\ : STD_LOGIC;
signal \^m_axi_rresp\ : STD_LOGIC_VECTOR ( 1 downto 0 );
signal \^m_axi_ruser\ : STD_LOGIC_VECTOR ( 0 to 0 );
signal \^m_axi_rvalid\ : STD_LOGIC;
signal \^m_axi_wready\ : STD_LOGIC;
signal \^s_axi_araddr\ : STD_LOGIC_VECTOR ( 31 downto 0 );
signal \^s_axi_arburst\ : STD_LOGIC_VECTOR ( 1 downto 0 );
signal \^s_axi_arcache\ : STD_LOGIC_VECTOR ( 3 downto 0 );
signal \^s_axi_arid\ : STD_LOGIC_VECTOR ( 11 downto 0 );
signal \^s_axi_arlen\ : STD_LOGIC_VECTOR ( 3 downto 0 );
signal \^s_axi_arlock\ : STD_LOGIC_VECTOR ( 1 downto 0 );
signal \^s_axi_arprot\ : STD_LOGIC_VECTOR ( 2 downto 0 );
signal \^s_axi_arqos\ : STD_LOGIC_VECTOR ( 3 downto 0 );
signal \^s_axi_arsize\ : STD_LOGIC_VECTOR ( 2 downto 0 );
signal \^s_axi_aruser\ : STD_LOGIC_VECTOR ( 0 to 0 );
signal \^s_axi_arvalid\ : STD_LOGIC;
signal \^s_axi_awaddr\ : STD_LOGIC_VECTOR ( 31 downto 0 );
signal \^s_axi_awburst\ : STD_LOGIC_VECTOR ( 1 downto 0 );
signal \^s_axi_awcache\ : STD_LOGIC_VECTOR ( 3 downto 0 );
signal \^s_axi_awid\ : STD_LOGIC_VECTOR ( 11 downto 0 );
signal \^s_axi_awlen\ : STD_LOGIC_VECTOR ( 3 downto 0 );
signal \^s_axi_awlock\ : STD_LOGIC_VECTOR ( 1 downto 0 );
signal \^s_axi_awprot\ : STD_LOGIC_VECTOR ( 2 downto 0 );
signal \^s_axi_awqos\ : STD_LOGIC_VECTOR ( 3 downto 0 );
signal \^s_axi_awsize\ : STD_LOGIC_VECTOR ( 2 downto 0 );
signal \^s_axi_awuser\ : STD_LOGIC_VECTOR ( 0 to 0 );
signal \^s_axi_awvalid\ : STD_LOGIC;
signal \^s_axi_bready\ : STD_LOGIC;
signal \^s_axi_rready\ : STD_LOGIC;
signal \^s_axi_wdata\ : STD_LOGIC_VECTOR ( 31 downto 0 );
signal \^s_axi_wlast\ : STD_LOGIC;
signal \^s_axi_wstrb\ : STD_LOGIC_VECTOR ( 3 downto 0 );
signal \^s_axi_wuser\ : STD_LOGIC_VECTOR ( 0 to 0 );
signal \^s_axi_wvalid\ : STD_LOGIC;
begin
\^m_axi_arready\ <= m_axi_arready;
\^m_axi_awready\ <= m_axi_awready;
\^m_axi_bid\(11 downto 0) <= m_axi_bid(11 downto 0);
\^m_axi_bresp\(1 downto 0) <= m_axi_bresp(1 downto 0);
\^m_axi_buser\(0) <= m_axi_buser(0);
\^m_axi_bvalid\ <= m_axi_bvalid;
\^m_axi_rdata\(31 downto 0) <= m_axi_rdata(31 downto 0);
\^m_axi_rid\(11 downto 0) <= m_axi_rid(11 downto 0);
\^m_axi_rlast\ <= m_axi_rlast;
\^m_axi_rresp\(1 downto 0) <= m_axi_rresp(1 downto 0);
\^m_axi_ruser\(0) <= m_axi_ruser(0);
\^m_axi_rvalid\ <= m_axi_rvalid;
\^m_axi_wready\ <= m_axi_wready;
\^s_axi_araddr\(31 downto 0) <= s_axi_araddr(31 downto 0);
\^s_axi_arburst\(1 downto 0) <= s_axi_arburst(1 downto 0);
\^s_axi_arcache\(3 downto 0) <= s_axi_arcache(3 downto 0);
\^s_axi_arid\(11 downto 0) <= s_axi_arid(11 downto 0);
\^s_axi_arlen\(3 downto 0) <= s_axi_arlen(3 downto 0);
\^s_axi_arlock\(0) <= s_axi_arlock(0);
\^s_axi_arprot\(2 downto 0) <= s_axi_arprot(2 downto 0);
\^s_axi_arqos\(3 downto 0) <= s_axi_arqos(3 downto 0);
\^s_axi_arsize\(2 downto 0) <= s_axi_arsize(2 downto 0);
\^s_axi_aruser\(0) <= s_axi_aruser(0);
\^s_axi_arvalid\ <= s_axi_arvalid;
\^s_axi_awaddr\(31 downto 0) <= s_axi_awaddr(31 downto 0);
\^s_axi_awburst\(1 downto 0) <= s_axi_awburst(1 downto 0);
\^s_axi_awcache\(3 downto 0) <= s_axi_awcache(3 downto 0);
\^s_axi_awid\(11 downto 0) <= s_axi_awid(11 downto 0);
\^s_axi_awlen\(3 downto 0) <= s_axi_awlen(3 downto 0);
\^s_axi_awlock\(0) <= s_axi_awlock(0);
\^s_axi_awprot\(2 downto 0) <= s_axi_awprot(2 downto 0);
\^s_axi_awqos\(3 downto 0) <= s_axi_awqos(3 downto 0);
\^s_axi_awsize\(2 downto 0) <= s_axi_awsize(2 downto 0);
\^s_axi_awuser\(0) <= s_axi_awuser(0);
\^s_axi_awvalid\ <= s_axi_awvalid;
\^s_axi_bready\ <= s_axi_bready;
\^s_axi_rready\ <= s_axi_rready;
\^s_axi_wdata\(31 downto 0) <= s_axi_wdata(31 downto 0);
\^s_axi_wlast\ <= s_axi_wlast;
\^s_axi_wstrb\(3 downto 0) <= s_axi_wstrb(3 downto 0);
\^s_axi_wuser\(0) <= s_axi_wuser(0);
\^s_axi_wvalid\ <= s_axi_wvalid;
m_axi_araddr(31 downto 0) <= \^s_axi_araddr\(31 downto 0);
m_axi_arburst(1 downto 0) <= \^s_axi_arburst\(1 downto 0);
m_axi_arcache(3 downto 0) <= \^s_axi_arcache\(3 downto 0);
m_axi_arid(11 downto 0) <= \^s_axi_arid\(11 downto 0);
m_axi_arlen(7) <= \<const0>\;
m_axi_arlen(6) <= \<const0>\;
m_axi_arlen(5) <= \<const0>\;
m_axi_arlen(4) <= \<const0>\;
m_axi_arlen(3 downto 0) <= \^s_axi_arlen\(3 downto 0);
m_axi_arlock(0) <= \^s_axi_arlock\(0);
m_axi_arprot(2 downto 0) <= \^s_axi_arprot\(2 downto 0);
m_axi_arqos(3 downto 0) <= \^s_axi_arqos\(3 downto 0);
m_axi_arregion(3) <= \<const0>\;
m_axi_arregion(2) <= \<const0>\;
m_axi_arregion(1) <= \<const0>\;
m_axi_arregion(0) <= \<const0>\;
m_axi_arsize(2 downto 0) <= \^s_axi_arsize\(2 downto 0);
m_axi_aruser(0) <= \^s_axi_aruser\(0);
m_axi_arvalid <= \^s_axi_arvalid\;
m_axi_awaddr(31 downto 0) <= \^s_axi_awaddr\(31 downto 0);
m_axi_awburst(1 downto 0) <= \^s_axi_awburst\(1 downto 0);
m_axi_awcache(3 downto 0) <= \^s_axi_awcache\(3 downto 0);
m_axi_awid(11 downto 0) <= \^s_axi_awid\(11 downto 0);
m_axi_awlen(7) <= \<const0>\;
m_axi_awlen(6) <= \<const0>\;
m_axi_awlen(5) <= \<const0>\;
m_axi_awlen(4) <= \<const0>\;
m_axi_awlen(3 downto 0) <= \^s_axi_awlen\(3 downto 0);
m_axi_awlock(0) <= \^s_axi_awlock\(0);
m_axi_awprot(2 downto 0) <= \^s_axi_awprot\(2 downto 0);
m_axi_awqos(3 downto 0) <= \^s_axi_awqos\(3 downto 0);
m_axi_awregion(3) <= \<const0>\;
m_axi_awregion(2) <= \<const0>\;
m_axi_awregion(1) <= \<const0>\;
m_axi_awregion(0) <= \<const0>\;
m_axi_awsize(2 downto 0) <= \^s_axi_awsize\(2 downto 0);
m_axi_awuser(0) <= \^s_axi_awuser\(0);
m_axi_awvalid <= \^s_axi_awvalid\;
m_axi_bready <= \^s_axi_bready\;
m_axi_rready <= \^s_axi_rready\;
m_axi_wdata(31 downto 0) <= \^s_axi_wdata\(31 downto 0);
m_axi_wid(11) <= \<const0>\;
m_axi_wid(10) <= \<const0>\;
m_axi_wid(9) <= \<const0>\;
m_axi_wid(8) <= \<const0>\;
m_axi_wid(7) <= \<const0>\;
m_axi_wid(6) <= \<const0>\;
m_axi_wid(5) <= \<const0>\;
m_axi_wid(4) <= \<const0>\;
m_axi_wid(3) <= \<const0>\;
m_axi_wid(2) <= \<const0>\;
m_axi_wid(1) <= \<const0>\;
m_axi_wid(0) <= \<const0>\;
m_axi_wlast <= \^s_axi_wlast\;
m_axi_wstrb(3 downto 0) <= \^s_axi_wstrb\(3 downto 0);
m_axi_wuser(0) <= \^s_axi_wuser\(0);
m_axi_wvalid <= \^s_axi_wvalid\;
s_axi_arready <= \^m_axi_arready\;
s_axi_awready <= \^m_axi_awready\;
s_axi_bid(11 downto 0) <= \^m_axi_bid\(11 downto 0);
s_axi_bresp(1 downto 0) <= \^m_axi_bresp\(1 downto 0);
s_axi_buser(0) <= \^m_axi_buser\(0);
s_axi_bvalid <= \^m_axi_bvalid\;
s_axi_rdata(31 downto 0) <= \^m_axi_rdata\(31 downto 0);
s_axi_rid(11 downto 0) <= \^m_axi_rid\(11 downto 0);
s_axi_rlast <= \^m_axi_rlast\;
s_axi_rresp(1 downto 0) <= \^m_axi_rresp\(1 downto 0);
s_axi_ruser(0) <= \^m_axi_ruser\(0);
s_axi_rvalid <= \^m_axi_rvalid\;
s_axi_wready <= \^m_axi_wready\;
GND: unisim.vcomponents.GND
port map (
G => \<const0>\
);
end STRUCTURE;
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix is
port (
aclk : in STD_LOGIC;
aresetn : in STD_LOGIC;
s_axi_awid : in STD_LOGIC_VECTOR ( 11 downto 0 );
s_axi_awaddr : in STD_LOGIC_VECTOR ( 31 downto 0 );
s_axi_awlen : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_awsize : in STD_LOGIC_VECTOR ( 2 downto 0 );
s_axi_awburst : in STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_awlock : in STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_awcache : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_awprot : in STD_LOGIC_VECTOR ( 2 downto 0 );
s_axi_awqos : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_awvalid : in STD_LOGIC;
s_axi_awready : out STD_LOGIC;
s_axi_wid : in STD_LOGIC_VECTOR ( 11 downto 0 );
s_axi_wdata : in STD_LOGIC_VECTOR ( 31 downto 0 );
s_axi_wstrb : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_wlast : in STD_LOGIC;
s_axi_wvalid : in STD_LOGIC;
s_axi_wready : out STD_LOGIC;
s_axi_bid : out STD_LOGIC_VECTOR ( 11 downto 0 );
s_axi_bresp : out STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_bvalid : out STD_LOGIC;
s_axi_bready : in STD_LOGIC;
s_axi_arid : in STD_LOGIC_VECTOR ( 11 downto 0 );
s_axi_araddr : in STD_LOGIC_VECTOR ( 31 downto 0 );
s_axi_arlen : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_arsize : in STD_LOGIC_VECTOR ( 2 downto 0 );
s_axi_arburst : in STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_arlock : in STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_arcache : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_arprot : in STD_LOGIC_VECTOR ( 2 downto 0 );
s_axi_arqos : in STD_LOGIC_VECTOR ( 3 downto 0 );
s_axi_arvalid : in STD_LOGIC;
s_axi_arready : out STD_LOGIC;
s_axi_rid : out STD_LOGIC_VECTOR ( 11 downto 0 );
s_axi_rdata : out STD_LOGIC_VECTOR ( 31 downto 0 );
s_axi_rresp : out STD_LOGIC_VECTOR ( 1 downto 0 );
s_axi_rlast : out STD_LOGIC;
s_axi_rvalid : out STD_LOGIC;
s_axi_rready : in STD_LOGIC;
m_axi_awid : out STD_LOGIC_VECTOR ( 11 downto 0 );
m_axi_awaddr : out STD_LOGIC_VECTOR ( 31 downto 0 );
m_axi_awlen : out STD_LOGIC_VECTOR ( 7 downto 0 );
m_axi_awsize : out STD_LOGIC_VECTOR ( 2 downto 0 );
m_axi_awburst : out STD_LOGIC_VECTOR ( 1 downto 0 );
m_axi_awlock : out STD_LOGIC_VECTOR ( 0 to 0 );
m_axi_awcache : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_awprot : out STD_LOGIC_VECTOR ( 2 downto 0 );
m_axi_awregion : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_awqos : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_awvalid : out STD_LOGIC;
m_axi_awready : in STD_LOGIC;
m_axi_wdata : out STD_LOGIC_VECTOR ( 31 downto 0 );
m_axi_wstrb : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_wlast : out STD_LOGIC;
m_axi_wvalid : out STD_LOGIC;
m_axi_wready : in STD_LOGIC;
m_axi_bid : in STD_LOGIC_VECTOR ( 11 downto 0 );
m_axi_bresp : in STD_LOGIC_VECTOR ( 1 downto 0 );
m_axi_bvalid : in STD_LOGIC;
m_axi_bready : out STD_LOGIC;
m_axi_arid : out STD_LOGIC_VECTOR ( 11 downto 0 );
m_axi_araddr : out STD_LOGIC_VECTOR ( 31 downto 0 );
m_axi_arlen : out STD_LOGIC_VECTOR ( 7 downto 0 );
m_axi_arsize : out STD_LOGIC_VECTOR ( 2 downto 0 );
m_axi_arburst : out STD_LOGIC_VECTOR ( 1 downto 0 );
m_axi_arlock : out STD_LOGIC_VECTOR ( 0 to 0 );
m_axi_arcache : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_arprot : out STD_LOGIC_VECTOR ( 2 downto 0 );
m_axi_arregion : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_arqos : out STD_LOGIC_VECTOR ( 3 downto 0 );
m_axi_arvalid : out STD_LOGIC;
m_axi_arready : in STD_LOGIC;
m_axi_rid : in STD_LOGIC_VECTOR ( 11 downto 0 );
m_axi_rdata : in STD_LOGIC_VECTOR ( 31 downto 0 );
m_axi_rresp : in STD_LOGIC_VECTOR ( 1 downto 0 );
m_axi_rlast : in STD_LOGIC;
m_axi_rvalid : in STD_LOGIC;
m_axi_rready : out STD_LOGIC
);
attribute NotValidForBitStream : boolean;
attribute NotValidForBitStream of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix : entity is true;
attribute CHECK_LICENSE_TYPE : string;
attribute CHECK_LICENSE_TYPE of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix : entity is "zqynq_lab_1_design_auto_pc_3,axi_protocol_converter_v2_1_13_axi_protocol_converter,{}";
attribute DowngradeIPIdentifiedWarnings : string;
attribute DowngradeIPIdentifiedWarnings of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix : entity is "yes";
attribute X_CORE_INFO : string;
attribute X_CORE_INFO of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix : entity is "axi_protocol_converter_v2_1_13_axi_protocol_converter,Vivado 2017.2.1";
end decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix;
architecture STRUCTURE of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix is
signal NLW_inst_m_axi_aruser_UNCONNECTED : STD_LOGIC_VECTOR ( 0 to 0 );
signal NLW_inst_m_axi_awuser_UNCONNECTED : STD_LOGIC_VECTOR ( 0 to 0 );
signal NLW_inst_m_axi_wid_UNCONNECTED : STD_LOGIC_VECTOR ( 11 downto 0 );
signal NLW_inst_m_axi_wuser_UNCONNECTED : STD_LOGIC_VECTOR ( 0 to 0 );
signal NLW_inst_s_axi_buser_UNCONNECTED : STD_LOGIC_VECTOR ( 0 to 0 );
signal NLW_inst_s_axi_ruser_UNCONNECTED : STD_LOGIC_VECTOR ( 0 to 0 );
attribute C_AXI_ADDR_WIDTH : integer;
attribute C_AXI_ADDR_WIDTH of inst : label is 32;
attribute C_AXI_ARUSER_WIDTH : integer;
attribute C_AXI_ARUSER_WIDTH of inst : label is 1;
attribute C_AXI_AWUSER_WIDTH : integer;
attribute C_AXI_AWUSER_WIDTH of inst : label is 1;
attribute C_AXI_BUSER_WIDTH : integer;
attribute C_AXI_BUSER_WIDTH of inst : label is 1;
attribute C_AXI_DATA_WIDTH : integer;
attribute C_AXI_DATA_WIDTH of inst : label is 32;
attribute C_AXI_ID_WIDTH : integer;
attribute C_AXI_ID_WIDTH of inst : label is 12;
attribute C_AXI_RUSER_WIDTH : integer;
attribute C_AXI_RUSER_WIDTH of inst : label is 1;
attribute C_AXI_SUPPORTS_READ : integer;
attribute C_AXI_SUPPORTS_READ of inst : label is 1;
attribute C_AXI_SUPPORTS_USER_SIGNALS : integer;
attribute C_AXI_SUPPORTS_USER_SIGNALS of inst : label is 0;
attribute C_AXI_SUPPORTS_WRITE : integer;
attribute C_AXI_SUPPORTS_WRITE of inst : label is 1;
attribute C_AXI_WUSER_WIDTH : integer;
attribute C_AXI_WUSER_WIDTH of inst : label is 1;
attribute C_FAMILY : string;
attribute C_FAMILY of inst : label is "zynq";
attribute C_IGNORE_ID : integer;
attribute C_IGNORE_ID of inst : label is 0;
attribute C_M_AXI_PROTOCOL : integer;
attribute C_M_AXI_PROTOCOL of inst : label is 0;
attribute C_S_AXI_PROTOCOL : integer;
attribute C_S_AXI_PROTOCOL of inst : label is 1;
attribute C_TRANSLATION_MODE : integer;
attribute C_TRANSLATION_MODE of inst : label is 2;
attribute DowngradeIPIdentifiedWarnings of inst : label is "yes";
attribute P_AXI3 : integer;
attribute P_AXI3 of inst : label is 1;
attribute P_AXI4 : integer;
attribute P_AXI4 of inst : label is 0;
attribute P_AXILITE : integer;
attribute P_AXILITE of inst : label is 2;
attribute P_AXILITE_SIZE : string;
attribute P_AXILITE_SIZE of inst : label is "3'b010";
attribute P_CONVERSION : integer;
attribute P_CONVERSION of inst : label is 2;
attribute P_DECERR : string;
attribute P_DECERR of inst : label is "2'b11";
attribute P_INCR : string;
attribute P_INCR of inst : label is "2'b01";
attribute P_PROTECTION : integer;
attribute P_PROTECTION of inst : label is 1;
attribute P_SLVERR : string;
attribute P_SLVERR of inst : label is "2'b10";
begin
inst: entity work.decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_axi_protocol_converter_v2_1_13_axi_protocol_converter
port map (
aclk => aclk,
aresetn => aresetn,
m_axi_araddr(31 downto 0) => m_axi_araddr(31 downto 0),
m_axi_arburst(1 downto 0) => m_axi_arburst(1 downto 0),
m_axi_arcache(3 downto 0) => m_axi_arcache(3 downto 0),
m_axi_arid(11 downto 0) => m_axi_arid(11 downto 0),
m_axi_arlen(7 downto 0) => m_axi_arlen(7 downto 0),
m_axi_arlock(0) => m_axi_arlock(0),
m_axi_arprot(2 downto 0) => m_axi_arprot(2 downto 0),
m_axi_arqos(3 downto 0) => m_axi_arqos(3 downto 0),
m_axi_arready => m_axi_arready,
m_axi_arregion(3 downto 0) => m_axi_arregion(3 downto 0),
m_axi_arsize(2 downto 0) => m_axi_arsize(2 downto 0),
m_axi_aruser(0) => NLW_inst_m_axi_aruser_UNCONNECTED(0),
m_axi_arvalid => m_axi_arvalid,
m_axi_awaddr(31 downto 0) => m_axi_awaddr(31 downto 0),
m_axi_awburst(1 downto 0) => m_axi_awburst(1 downto 0),
m_axi_awcache(3 downto 0) => m_axi_awcache(3 downto 0),
m_axi_awid(11 downto 0) => m_axi_awid(11 downto 0),
m_axi_awlen(7 downto 0) => m_axi_awlen(7 downto 0),
m_axi_awlock(0) => m_axi_awlock(0),
m_axi_awprot(2 downto 0) => m_axi_awprot(2 downto 0),
m_axi_awqos(3 downto 0) => m_axi_awqos(3 downto 0),
m_axi_awready => m_axi_awready,
m_axi_awregion(3 downto 0) => m_axi_awregion(3 downto 0),
m_axi_awsize(2 downto 0) => m_axi_awsize(2 downto 0),
m_axi_awuser(0) => NLW_inst_m_axi_awuser_UNCONNECTED(0),
m_axi_awvalid => m_axi_awvalid,
m_axi_bid(11 downto 0) => m_axi_bid(11 downto 0),
m_axi_bready => m_axi_bready,
m_axi_bresp(1 downto 0) => m_axi_bresp(1 downto 0),
m_axi_buser(0) => '0',
m_axi_bvalid => m_axi_bvalid,
m_axi_rdata(31 downto 0) => m_axi_rdata(31 downto 0),
m_axi_rid(11 downto 0) => m_axi_rid(11 downto 0),
m_axi_rlast => m_axi_rlast,
m_axi_rready => m_axi_rready,
m_axi_rresp(1 downto 0) => m_axi_rresp(1 downto 0),
m_axi_ruser(0) => '0',
m_axi_rvalid => m_axi_rvalid,
m_axi_wdata(31 downto 0) => m_axi_wdata(31 downto 0),
m_axi_wid(11 downto 0) => NLW_inst_m_axi_wid_UNCONNECTED(11 downto 0),
m_axi_wlast => m_axi_wlast,
m_axi_wready => m_axi_wready,
m_axi_wstrb(3 downto 0) => m_axi_wstrb(3 downto 0),
m_axi_wuser(0) => NLW_inst_m_axi_wuser_UNCONNECTED(0),
m_axi_wvalid => m_axi_wvalid,
s_axi_araddr(31 downto 0) => s_axi_araddr(31 downto 0),
s_axi_arburst(1 downto 0) => s_axi_arburst(1 downto 0),
s_axi_arcache(3 downto 0) => s_axi_arcache(3 downto 0),
s_axi_arid(11 downto 0) => s_axi_arid(11 downto 0),
s_axi_arlen(3 downto 0) => s_axi_arlen(3 downto 0),
s_axi_arlock(1 downto 0) => s_axi_arlock(1 downto 0),
s_axi_arprot(2 downto 0) => s_axi_arprot(2 downto 0),
s_axi_arqos(3 downto 0) => s_axi_arqos(3 downto 0),
s_axi_arready => s_axi_arready,
s_axi_arregion(3 downto 0) => B"0000",
s_axi_arsize(2 downto 0) => s_axi_arsize(2 downto 0),
s_axi_aruser(0) => '0',
s_axi_arvalid => s_axi_arvalid,
s_axi_awaddr(31 downto 0) => s_axi_awaddr(31 downto 0),
s_axi_awburst(1 downto 0) => s_axi_awburst(1 downto 0),
s_axi_awcache(3 downto 0) => s_axi_awcache(3 downto 0),
s_axi_awid(11 downto 0) => s_axi_awid(11 downto 0),
s_axi_awlen(3 downto 0) => s_axi_awlen(3 downto 0),
s_axi_awlock(1 downto 0) => s_axi_awlock(1 downto 0),
s_axi_awprot(2 downto 0) => s_axi_awprot(2 downto 0),
s_axi_awqos(3 downto 0) => s_axi_awqos(3 downto 0),
s_axi_awready => s_axi_awready,
s_axi_awregion(3 downto 0) => B"0000",
s_axi_awsize(2 downto 0) => s_axi_awsize(2 downto 0),
s_axi_awuser(0) => '0',
s_axi_awvalid => s_axi_awvalid,
s_axi_bid(11 downto 0) => s_axi_bid(11 downto 0),
s_axi_bready => s_axi_bready,
s_axi_bresp(1 downto 0) => s_axi_bresp(1 downto 0),
s_axi_buser(0) => NLW_inst_s_axi_buser_UNCONNECTED(0),
s_axi_bvalid => s_axi_bvalid,
s_axi_rdata(31 downto 0) => s_axi_rdata(31 downto 0),
s_axi_rid(11 downto 0) => s_axi_rid(11 downto 0),
s_axi_rlast => s_axi_rlast,
s_axi_rready => s_axi_rready,
s_axi_rresp(1 downto 0) => s_axi_rresp(1 downto 0),
s_axi_ruser(0) => NLW_inst_s_axi_ruser_UNCONNECTED(0),
s_axi_rvalid => s_axi_rvalid,
s_axi_wdata(31 downto 0) => s_axi_wdata(31 downto 0),
s_axi_wid(11 downto 0) => s_axi_wid(11 downto 0),
s_axi_wlast => s_axi_wlast,
s_axi_wready => s_axi_wready,
s_axi_wstrb(3 downto 0) => s_axi_wstrb(3 downto 0),
s_axi_wuser(0) => '0',
s_axi_wvalid => s_axi_wvalid
);
end STRUCTURE;
|
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved.
-- --------------------------------------------------------------------------------
-- Tool Version: Vivado v.2016.3 (win64) Build 1682563 Mon Oct 10 19:07:27 MDT 2016
-- Date : Wed Sep 20 15:37:03 2017
-- Host : vldmr-PC running 64-bit Service Pack 1 (build 7601)
-- Command : write_vhdl -force -mode synth_stub -rename_top decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix -prefix
-- decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_ ila_0_stub.vhdl
-- Design : ila_0
-- Purpose : Stub declaration of top-level module interface
-- Device : xc7k325tffg676-1
-- --------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
entity decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix is
Port (
clk : in STD_LOGIC;
probe0 : in STD_LOGIC_VECTOR ( 63 downto 0 );
probe1 : in STD_LOGIC_VECTOR ( 63 downto 0 );
probe2 : in STD_LOGIC_VECTOR ( 0 to 0 );
probe3 : in STD_LOGIC_VECTOR ( 0 to 0 );
probe4 : in STD_LOGIC_VECTOR ( 0 to 0 );
probe5 : in STD_LOGIC_VECTOR ( 0 to 0 );
probe6 : in STD_LOGIC_VECTOR ( 0 to 0 );
probe7 : in STD_LOGIC_VECTOR ( 7 downto 0 );
probe8 : in STD_LOGIC_VECTOR ( 7 downto 0 );
probe9 : in STD_LOGIC_VECTOR ( 1 downto 0 );
probe10 : in STD_LOGIC_VECTOR ( 0 to 0 );
probe11 : in STD_LOGIC_VECTOR ( 0 to 0 )
);
end decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix;
architecture stub of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix is
attribute syn_black_box : boolean;
attribute black_box_pad_pin : string;
attribute syn_black_box of stub : architecture is true;
attribute black_box_pad_pin of stub : architecture is "clk,probe0[63:0],probe1[63:0],probe2[0:0],probe3[0:0],probe4[0:0],probe5[0:0],probe6[0:0],probe7[7:0],probe8[7:0],probe9[1:0],probe10[0:0],probe11[0:0]";
attribute X_CORE_INFO : string;
attribute X_CORE_INFO of stub : architecture is "ila,Vivado 2016.3";
begin
end;
|
-- Address decode logic for ipbus fabric
--
-- This file has been AUTOGENERATED from the address table - do not hand edit
--
-- We assume the synthesis tool is clever enough to recognise exclusive conditions
-- in the if statement.
--
-- Dave Newbold, February 2011
library IEEE;
use IEEE.STD_LOGIC_1164.all;
use ieee.numeric_std.all;
package ipbus_decode_PACKAGENAME is
constant IPBUS_SEL_WIDTH: positive := INSERT_SEL_WIDTH_HERE;
subtype ipbus_sel_t is std_logic_vector(IPBUS_SEL_WIDTH - 1 downto 0);
function ipbus_sel_PACKAGENAME(addr : in std_logic_vector(31 downto 0)) return ipbus_sel_t;
-- INSERT_SYMBOLIC_CONSTANTS_HERE
end ipbus_decode_PACKAGENAME;
package body ipbus_decode_PACKAGENAME is
function ipbus_sel_PACKAGENAME(addr : in std_logic_vector(31 downto 0)) return ipbus_sel_t is
variable sel: ipbus_sel_t;
begin
-- INSERT_SELECTION_HERE
else
sel := ipbus_sel_t(to_unsigned(N_SLAVES, IPBUS_SEL_WIDTH));
end if;
return sel;
end function ipbus_sel_PACKAGENAME;
end ipbus_decode_PACKAGENAME;
|
--
-- This file is part of top_test_sharp_screen
-- Copyright (C) 2011 Julien Thevenon ( julien_thevenon at yahoo.fr )
--
-- This program is free software: you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation, either version 3 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program. If not, see <http://www.gnu.org/licenses/>
--
-- Notes:
-- This testbench has been automatically generated using types std_logic and
-- std_logic_vector for the ports of the unit under test. Xilinx recommends
-- that these types always be used for the top-level I/O of a design in order
-- to guarantee that the testbench will bind correctly to the post-implementation
-- simulation model.
--------------------------------------------------------------------------------
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
-- Uncomment the following library declaration if using
-- arithmetic functions with Signed or Unsigned values
--USE ieee.numeric_std.ALL;
ENTITY driver_testbench IS
END driver_testbench;
ARCHITECTURE behavior OF driver_testbench IS
-- Component Declaration for the Unit Under Test (UUT)
--Inputs
signal clk : std_logic := '0';
signal rst : std_logic := '0';
--outputs
signal clk_out : std_logic;
signal hsync : std_logic;
signal vsync : std_logic;
signal enable : std_logic;
signal r : std_logic_vector(5 downto 0);
signal g : std_logic_vector(5 downto 0);
signal b : std_logic_vector(5 downto 0);
-- Clock period definitions
constant clk_period : time := 39.71 ns;
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: entity work.mire_screen PORT MAP (
clk => clk,
rst => rst,
clk_out => clk_out,
vsync => vsync,
hsync => hsync,
enable => enable,
r => r,
g => g,
b => b
);
-- Clock process definitions
clk_process :process
begin
clk <= '0';
wait for clk_period/2;
clk <= '1';
wait for clk_period/2;
end process;
-- Stimulus process
stim_proc: process
begin
-- hold reset state for 100 ns.
wait for clk_period;
wait for clk_period*10;
-- insert stimulus here
wait;
end process;
END;
|
-- Copyright (C) 1996 Morgan Kaufmann Publishers, Inc
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: ch_12_ch_12_01.vhd,v 1.2 2001-10-24 23:31:00 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
-- code from book
entity and2 is
generic ( Tpd : time );
port ( a, b : in bit; y : out bit );
end entity and2;
architecture simple of and2 is
begin
and2_function :
y <= a and b after Tpd;
end architecture simple;
-- end code from book
entity ch_12_01 is
end entity ch_12_01;
library stimulus;
use stimulus.stimulus_generators.all;
architecture test of ch_12_01 is
signal a1, b1, sig1, sig2, sig_out : bit;
signal test_vector : bit_vector(1 to 3);
begin
-- code from book
gate1 : entity work.and2(simple)
generic map ( Tpd => 2 ns )
port map ( a => sig1, b => sig2, y => sig_out );
gate2 : entity work.and2(simple)
generic map ( Tpd => 3 ns )
port map ( a => a1, b => b1, y => sig1 );
-- end code from book
stimulus : all_possible_values ( bv => test_vector,
delay_between_values => 10 ns );
(sig2, a1, b1) <= test_vector;
end architecture test;
|
-- Copyright (C) 1996 Morgan Kaufmann Publishers, Inc
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: ch_12_ch_12_01.vhd,v 1.2 2001-10-24 23:31:00 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
-- code from book
entity and2 is
generic ( Tpd : time );
port ( a, b : in bit; y : out bit );
end entity and2;
architecture simple of and2 is
begin
and2_function :
y <= a and b after Tpd;
end architecture simple;
-- end code from book
entity ch_12_01 is
end entity ch_12_01;
library stimulus;
use stimulus.stimulus_generators.all;
architecture test of ch_12_01 is
signal a1, b1, sig1, sig2, sig_out : bit;
signal test_vector : bit_vector(1 to 3);
begin
-- code from book
gate1 : entity work.and2(simple)
generic map ( Tpd => 2 ns )
port map ( a => sig1, b => sig2, y => sig_out );
gate2 : entity work.and2(simple)
generic map ( Tpd => 3 ns )
port map ( a => a1, b => b1, y => sig1 );
-- end code from book
stimulus : all_possible_values ( bv => test_vector,
delay_between_values => 10 ns );
(sig2, a1, b1) <= test_vector;
end architecture test;
|
-- Copyright (C) 1996 Morgan Kaufmann Publishers, Inc
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: ch_12_ch_12_01.vhd,v 1.2 2001-10-24 23:31:00 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
-- code from book
entity and2 is
generic ( Tpd : time );
port ( a, b : in bit; y : out bit );
end entity and2;
architecture simple of and2 is
begin
and2_function :
y <= a and b after Tpd;
end architecture simple;
-- end code from book
entity ch_12_01 is
end entity ch_12_01;
library stimulus;
use stimulus.stimulus_generators.all;
architecture test of ch_12_01 is
signal a1, b1, sig1, sig2, sig_out : bit;
signal test_vector : bit_vector(1 to 3);
begin
-- code from book
gate1 : entity work.and2(simple)
generic map ( Tpd => 2 ns )
port map ( a => sig1, b => sig2, y => sig_out );
gate2 : entity work.and2(simple)
generic map ( Tpd => 3 ns )
port map ( a => a1, b => b1, y => sig1 );
-- end code from book
stimulus : all_possible_values ( bv => test_vector,
delay_between_values => 10 ns );
(sig2, a1, b1) <= test_vector;
end architecture test;
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
iV9RScEojiIYavQLdmhYeWlVCnGFhhcYHmKUz5KTBhhW0LvpekokIlUr7cgvImmWPpJiEPECt2sX
qiIhhZUyjg==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
hAEiizvT6gbTVOuCKPqs8e9iJKr7DE6v1Yswz0NfOd1f78QdTFAquwZhRRVpTKc55oCyF1cmsJgi
484toQVbDo5rsG2FItfuRPaMP5uiWApMZkjGECC93QdNHOiavmGKwehQmIifadpdw8cu8MTU8oVx
rvv6XrKpyyHjLnGIh+k=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
hEgx8LhPoov+7F2TsULzociaL8fj7xI+oMiG0ZCm5ZmcJYJ4/TNy9JtpgVN2IH9Yl1Q0crglW30w
mQjbBqDAbngJqlTDxTiedOofunRFFeyuz3X6QQ+9+wXP8Pb5m9lVWxgA+GUJWcZA2PXqW4IKUh0x
DJ46hTmthnM3XfDSrxz6txi0pg8x2Kv30ya9ntDIto6+F9M4T160lpoqdlLfKR5XV3XnjxkFBSA/
t7G/vJGIYmH/woQNzlQ4lAJRL0ElxgbDDloK8iot0fmVC3Wojw3cHgmFeiRKKO2Ozq0qQK9leiIL
1lkJoPRthX9WG48VBedqbZvc/VYtQFsWj2J3Yw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
cC1wfYe5/aqnYJTZsrfGoSYlzsRhNYd32nBp7LOqgXSUBSxmLg+VrFQhSHLMLXFYjuHzM7Nrp89o
n9HTRIExQuCoxsfblEDOzzeySwZtf/dFHCh17c/0LvZ7GuFRxfpfI2oAF2Dh7h0e9g46egBIabo/
evmlJqQeQ/NWwsqak0Y=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OaPvfBhqSU+PUXK0gGD7gvz4oJN5TvNleV/oyc9QYEuG7LIEC++cRcPnxfQTbiXDXErneTL3Gr27
SsfvQ2YfbE7Fg2eqPxseRbZM8UW3u/YMxesWIOs41v2XX4dWAuJUg7x+SUqVYmD2jJ4WfpPQjXRI
NczDE2hiJ5JDP8JV/VRe/FT5DLk6GAgZunNse10+LkAb638rVuCQTmwWzvySs33zly6a5vPyDCIv
w5lMEWAJP3MRvl02c25vQzJQwRpt0xNsBqnbIaCMsBSxi1b2vvhw+w8OT2XpJyUjdk+siyVkJVXd
pkxaIy3mtqpzXAJ5ypV2/qxhRLyzAMMRUVDiwg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 53792)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
iV9RScEojiIYavQLdmhYeWlVCnGFhhcYHmKUz5KTBhhW0LvpekokIlUr7cgvImmWPpJiEPECt2sX
qiIhhZUyjg==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
hAEiizvT6gbTVOuCKPqs8e9iJKr7DE6v1Yswz0NfOd1f78QdTFAquwZhRRVpTKc55oCyF1cmsJgi
484toQVbDo5rsG2FItfuRPaMP5uiWApMZkjGECC93QdNHOiavmGKwehQmIifadpdw8cu8MTU8oVx
rvv6XrKpyyHjLnGIh+k=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
hEgx8LhPoov+7F2TsULzociaL8fj7xI+oMiG0ZCm5ZmcJYJ4/TNy9JtpgVN2IH9Yl1Q0crglW30w
mQjbBqDAbngJqlTDxTiedOofunRFFeyuz3X6QQ+9+wXP8Pb5m9lVWxgA+GUJWcZA2PXqW4IKUh0x
DJ46hTmthnM3XfDSrxz6txi0pg8x2Kv30ya9ntDIto6+F9M4T160lpoqdlLfKR5XV3XnjxkFBSA/
t7G/vJGIYmH/woQNzlQ4lAJRL0ElxgbDDloK8iot0fmVC3Wojw3cHgmFeiRKKO2Ozq0qQK9leiIL
1lkJoPRthX9WG48VBedqbZvc/VYtQFsWj2J3Yw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
cC1wfYe5/aqnYJTZsrfGoSYlzsRhNYd32nBp7LOqgXSUBSxmLg+VrFQhSHLMLXFYjuHzM7Nrp89o
n9HTRIExQuCoxsfblEDOzzeySwZtf/dFHCh17c/0LvZ7GuFRxfpfI2oAF2Dh7h0e9g46egBIabo/
evmlJqQeQ/NWwsqak0Y=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OaPvfBhqSU+PUXK0gGD7gvz4oJN5TvNleV/oyc9QYEuG7LIEC++cRcPnxfQTbiXDXErneTL3Gr27
SsfvQ2YfbE7Fg2eqPxseRbZM8UW3u/YMxesWIOs41v2XX4dWAuJUg7x+SUqVYmD2jJ4WfpPQjXRI
NczDE2hiJ5JDP8JV/VRe/FT5DLk6GAgZunNse10+LkAb638rVuCQTmwWzvySs33zly6a5vPyDCIv
w5lMEWAJP3MRvl02c25vQzJQwRpt0xNsBqnbIaCMsBSxi1b2vvhw+w8OT2XpJyUjdk+siyVkJVXd
pkxaIy3mtqpzXAJ5ypV2/qxhRLyzAMMRUVDiwg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 53792)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
iV9RScEojiIYavQLdmhYeWlVCnGFhhcYHmKUz5KTBhhW0LvpekokIlUr7cgvImmWPpJiEPECt2sX
qiIhhZUyjg==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
hAEiizvT6gbTVOuCKPqs8e9iJKr7DE6v1Yswz0NfOd1f78QdTFAquwZhRRVpTKc55oCyF1cmsJgi
484toQVbDo5rsG2FItfuRPaMP5uiWApMZkjGECC93QdNHOiavmGKwehQmIifadpdw8cu8MTU8oVx
rvv6XrKpyyHjLnGIh+k=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
hEgx8LhPoov+7F2TsULzociaL8fj7xI+oMiG0ZCm5ZmcJYJ4/TNy9JtpgVN2IH9Yl1Q0crglW30w
mQjbBqDAbngJqlTDxTiedOofunRFFeyuz3X6QQ+9+wXP8Pb5m9lVWxgA+GUJWcZA2PXqW4IKUh0x
DJ46hTmthnM3XfDSrxz6txi0pg8x2Kv30ya9ntDIto6+F9M4T160lpoqdlLfKR5XV3XnjxkFBSA/
t7G/vJGIYmH/woQNzlQ4lAJRL0ElxgbDDloK8iot0fmVC3Wojw3cHgmFeiRKKO2Ozq0qQK9leiIL
1lkJoPRthX9WG48VBedqbZvc/VYtQFsWj2J3Yw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
cC1wfYe5/aqnYJTZsrfGoSYlzsRhNYd32nBp7LOqgXSUBSxmLg+VrFQhSHLMLXFYjuHzM7Nrp89o
n9HTRIExQuCoxsfblEDOzzeySwZtf/dFHCh17c/0LvZ7GuFRxfpfI2oAF2Dh7h0e9g46egBIabo/
evmlJqQeQ/NWwsqak0Y=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OaPvfBhqSU+PUXK0gGD7gvz4oJN5TvNleV/oyc9QYEuG7LIEC++cRcPnxfQTbiXDXErneTL3Gr27
SsfvQ2YfbE7Fg2eqPxseRbZM8UW3u/YMxesWIOs41v2XX4dWAuJUg7x+SUqVYmD2jJ4WfpPQjXRI
NczDE2hiJ5JDP8JV/VRe/FT5DLk6GAgZunNse10+LkAb638rVuCQTmwWzvySs33zly6a5vPyDCIv
w5lMEWAJP3MRvl02c25vQzJQwRpt0xNsBqnbIaCMsBSxi1b2vvhw+w8OT2XpJyUjdk+siyVkJVXd
pkxaIy3mtqpzXAJ5ypV2/qxhRLyzAMMRUVDiwg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 53792)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
iV9RScEojiIYavQLdmhYeWlVCnGFhhcYHmKUz5KTBhhW0LvpekokIlUr7cgvImmWPpJiEPECt2sX
qiIhhZUyjg==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
hAEiizvT6gbTVOuCKPqs8e9iJKr7DE6v1Yswz0NfOd1f78QdTFAquwZhRRVpTKc55oCyF1cmsJgi
484toQVbDo5rsG2FItfuRPaMP5uiWApMZkjGECC93QdNHOiavmGKwehQmIifadpdw8cu8MTU8oVx
rvv6XrKpyyHjLnGIh+k=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
hEgx8LhPoov+7F2TsULzociaL8fj7xI+oMiG0ZCm5ZmcJYJ4/TNy9JtpgVN2IH9Yl1Q0crglW30w
mQjbBqDAbngJqlTDxTiedOofunRFFeyuz3X6QQ+9+wXP8Pb5m9lVWxgA+GUJWcZA2PXqW4IKUh0x
DJ46hTmthnM3XfDSrxz6txi0pg8x2Kv30ya9ntDIto6+F9M4T160lpoqdlLfKR5XV3XnjxkFBSA/
t7G/vJGIYmH/woQNzlQ4lAJRL0ElxgbDDloK8iot0fmVC3Wojw3cHgmFeiRKKO2Ozq0qQK9leiIL
1lkJoPRthX9WG48VBedqbZvc/VYtQFsWj2J3Yw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
cC1wfYe5/aqnYJTZsrfGoSYlzsRhNYd32nBp7LOqgXSUBSxmLg+VrFQhSHLMLXFYjuHzM7Nrp89o
n9HTRIExQuCoxsfblEDOzzeySwZtf/dFHCh17c/0LvZ7GuFRxfpfI2oAF2Dh7h0e9g46egBIabo/
evmlJqQeQ/NWwsqak0Y=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OaPvfBhqSU+PUXK0gGD7gvz4oJN5TvNleV/oyc9QYEuG7LIEC++cRcPnxfQTbiXDXErneTL3Gr27
SsfvQ2YfbE7Fg2eqPxseRbZM8UW3u/YMxesWIOs41v2XX4dWAuJUg7x+SUqVYmD2jJ4WfpPQjXRI
NczDE2hiJ5JDP8JV/VRe/FT5DLk6GAgZunNse10+LkAb638rVuCQTmwWzvySs33zly6a5vPyDCIv
w5lMEWAJP3MRvl02c25vQzJQwRpt0xNsBqnbIaCMsBSxi1b2vvhw+w8OT2XpJyUjdk+siyVkJVXd
pkxaIy3mtqpzXAJ5ypV2/qxhRLyzAMMRUVDiwg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 53792)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
iV9RScEojiIYavQLdmhYeWlVCnGFhhcYHmKUz5KTBhhW0LvpekokIlUr7cgvImmWPpJiEPECt2sX
qiIhhZUyjg==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
hAEiizvT6gbTVOuCKPqs8e9iJKr7DE6v1Yswz0NfOd1f78QdTFAquwZhRRVpTKc55oCyF1cmsJgi
484toQVbDo5rsG2FItfuRPaMP5uiWApMZkjGECC93QdNHOiavmGKwehQmIifadpdw8cu8MTU8oVx
rvv6XrKpyyHjLnGIh+k=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
hEgx8LhPoov+7F2TsULzociaL8fj7xI+oMiG0ZCm5ZmcJYJ4/TNy9JtpgVN2IH9Yl1Q0crglW30w
mQjbBqDAbngJqlTDxTiedOofunRFFeyuz3X6QQ+9+wXP8Pb5m9lVWxgA+GUJWcZA2PXqW4IKUh0x
DJ46hTmthnM3XfDSrxz6txi0pg8x2Kv30ya9ntDIto6+F9M4T160lpoqdlLfKR5XV3XnjxkFBSA/
t7G/vJGIYmH/woQNzlQ4lAJRL0ElxgbDDloK8iot0fmVC3Wojw3cHgmFeiRKKO2Ozq0qQK9leiIL
1lkJoPRthX9WG48VBedqbZvc/VYtQFsWj2J3Yw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
cC1wfYe5/aqnYJTZsrfGoSYlzsRhNYd32nBp7LOqgXSUBSxmLg+VrFQhSHLMLXFYjuHzM7Nrp89o
n9HTRIExQuCoxsfblEDOzzeySwZtf/dFHCh17c/0LvZ7GuFRxfpfI2oAF2Dh7h0e9g46egBIabo/
evmlJqQeQ/NWwsqak0Y=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OaPvfBhqSU+PUXK0gGD7gvz4oJN5TvNleV/oyc9QYEuG7LIEC++cRcPnxfQTbiXDXErneTL3Gr27
SsfvQ2YfbE7Fg2eqPxseRbZM8UW3u/YMxesWIOs41v2XX4dWAuJUg7x+SUqVYmD2jJ4WfpPQjXRI
NczDE2hiJ5JDP8JV/VRe/FT5DLk6GAgZunNse10+LkAb638rVuCQTmwWzvySs33zly6a5vPyDCIv
w5lMEWAJP3MRvl02c25vQzJQwRpt0xNsBqnbIaCMsBSxi1b2vvhw+w8OT2XpJyUjdk+siyVkJVXd
pkxaIy3mtqpzXAJ5ypV2/qxhRLyzAMMRUVDiwg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 53792)
`protect data_block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`protect end_protected
|
------------------------------------------------------------------------------
-- user_logic.vhd - entity/architecture pair
------------------------------------------------------------------------------
--
-- ***************************************************************************
-- ** Copyright (c) 1995-2012 Xilinx, Inc. All rights reserved. **
-- ** **
-- ** Xilinx, Inc. **
-- ** XILINX IS PROVIDING THIS DESIGN, CODE, OR INFORMATION "AS IS" **
-- ** AS A COURTESY TO YOU, SOLELY FOR USE IN DEVELOPING PROGRAMS AND **
-- ** SOLUTIONS FOR XILINX DEVICES. BY PROVIDING THIS DESIGN, CODE, **
-- ** OR INFORMATION AS ONE POSSIBLE IMPLEMENTATION OF THIS FEATURE, **
-- ** APPLICATION OR STANDARD, XILINX IS MAKING NO REPRESENTATION **
-- ** THAT THIS IMPLEMENTATION IS FREE FROM ANY CLAIMS OF INFRINGEMENT, **
-- ** AND YOU ARE RESPONSIBLE FOR OBTAINING ANY RIGHTS YOU MAY REQUIRE **
-- ** FOR YOUR IMPLEMENTATION. XILINX EXPRESSLY DISCLAIMS ANY **
-- ** WARRANTY WHATSOEVER WITH RESPECT TO THE ADEQUACY OF THE **
-- ** IMPLEMENTATION, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OR **
-- ** REPRESENTATIONS THAT THIS IMPLEMENTATION IS FREE FROM CLAIMS OF **
-- ** INFRINGEMENT, IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS **
-- ** FOR A PARTICULAR PURPOSE. **
-- ** **
-- ***************************************************************************
--
------------------------------------------------------------------------------
-- Filename: user_logic.vhd
-- Version: 1.00.a
-- Description: User logic.
-- Date: Mon Apr 13 19:59:47 2015 (by Create and Import Peripheral Wizard)
-- VHDL Standard: VHDL'93
------------------------------------------------------------------------------
-- Naming Conventions:
-- active low signals: "*_n"
-- clock signals: "clk", "clk_div#", "clk_#x"
-- reset signals: "rst", "rst_n"
-- generics: "C_*"
-- user defined types: "*_TYPE"
-- state machine next state: "*_ns"
-- state machine current state: "*_cs"
-- combinatorial signals: "*_com"
-- pipelined or register delay signals: "*_d#"
-- counter signals: "*cnt*"
-- clock enable signals: "*_ce"
-- internal version of output port: "*_i"
-- device pins: "*_pin"
-- ports: "- Names begin with Uppercase"
-- processes: "*_PROCESS"
-- component instantiations: "<ENTITY_>I_<#|FUNC>"
------------------------------------------------------------------------------
-- DO NOT EDIT BELOW THIS LINE --------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_arith.all;
use ieee.std_logic_unsigned.all;
library proc_common_v3_00_a;
use proc_common_v3_00_a.proc_common_pkg.all;
-- DO NOT EDIT ABOVE THIS LINE --------------------
--USER libraries added here
------------------------------------------------------------------------------
-- Entity section
------------------------------------------------------------------------------
-- Definition of Generics:
-- C_NUM_REG -- Number of software accessible registers
-- C_SLV_DWIDTH -- Slave interface data bus width
--
-- Definition of Ports:
-- Bus2IP_Clk -- Bus to IP clock
-- Bus2IP_Resetn -- Bus to IP reset
-- Bus2IP_Data -- Bus to IP data bus
-- Bus2IP_BE -- Bus to IP byte enables
-- Bus2IP_RdCE -- Bus to IP read chip enable
-- Bus2IP_WrCE -- Bus to IP write chip enable
-- IP2Bus_Data -- IP to Bus data bus
-- IP2Bus_RdAck -- IP to Bus read transfer acknowledgement
-- IP2Bus_WrAck -- IP to Bus write transfer acknowledgement
-- IP2Bus_Error -- IP to Bus error response
------------------------------------------------------------------------------
entity user_logic is
generic
(
-- ADD USER GENERICS BELOW THIS LINE ---------------
--USER generics added here
-- ADD USER GENERICS ABOVE THIS LINE ---------------
-- DO NOT EDIT BELOW THIS LINE ---------------------
-- Bus protocol parameters, do not add to or delete
C_NUM_REG : integer := 2;
C_SLV_DWIDTH : integer := 32
-- DO NOT EDIT ABOVE THIS LINE ---------------------
);
port
(
-- ADD USER PORTS BELOW THIS LINE ------------------
clk_48_i : in std_logic;
sample_data_L_in : in std_logic_vector(23 downto 0);
sample_data_R_in : in std_logic_vector(23 downto 0);
sample_data_L_out : out std_logic_vector(23 downto 0);
sample_data_R_out : out std_logic_vector(23 downto 0);
-- ADD USER PORTS ABOVE THIS LINE ------------------
-- DO NOT EDIT BELOW THIS LINE ---------------------
-- Bus protocol ports, do not add to or delete
Bus2IP_Clk : in std_logic;
Bus2IP_Resetn : in std_logic;
Bus2IP_Data : in std_logic_vector(C_SLV_DWIDTH-1 downto 0);
Bus2IP_BE : in std_logic_vector(C_SLV_DWIDTH/8-1 downto 0);
Bus2IP_RdCE : in std_logic_vector(C_NUM_REG-1 downto 0);
Bus2IP_WrCE : in std_logic_vector(C_NUM_REG-1 downto 0);
IP2Bus_Data : out std_logic_vector(C_SLV_DWIDTH-1 downto 0);
IP2Bus_RdAck : out std_logic;
IP2Bus_WrAck : out std_logic;
IP2Bus_Error : out std_logic
-- DO NOT EDIT ABOVE THIS LINE ---------------------
);
attribute MAX_FANOUT : string;
attribute SIGIS : string;
attribute SIGIS of Bus2IP_Clk : signal is "CLK";
attribute SIGIS of Bus2IP_Resetn : signal is "RST";
end entity user_logic;
------------------------------------------------------------------------------
-- Architecture section
------------------------------------------------------------------------------
architecture IMP of user_logic is
--USER signal declarations added here, as needed for user logic
------------------------------------------
-- Signals for user logic slave model s/w accessible register example
------------------------------------------
signal slv_reg0 : std_logic_vector(C_SLV_DWIDTH-1 downto 0);
signal slv_reg1 : std_logic_vector(C_SLV_DWIDTH-1 downto 0);
signal slv_reg_write_sel : std_logic_vector(1 downto 0);
signal slv_reg_read_sel : std_logic_vector(1 downto 0);
signal slv_ip2bus_data : std_logic_vector(C_SLV_DWIDTH-1 downto 0);
signal slv_read_ack : std_logic;
signal slv_write_ack : std_logic;
begin
--USER logic implementation added here
------------------------------------------
-- Example code to read/write user logic slave model s/w accessible registers
--
-- Note:
-- The example code presented here is to show you one way of reading/writing
-- software accessible registers implemented in the user logic slave model.
-- Each bit of the Bus2IP_WrCE/Bus2IP_RdCE signals is configured to correspond
-- to one software accessible register by the top level template. For example,
-- if you have four 32 bit software accessible registers in the user logic,
-- you are basically operating on the following memory mapped registers:
--
-- Bus2IP_WrCE/Bus2IP_RdCE Memory Mapped Register
-- "1000" C_BASEADDR + 0x0
-- "0100" C_BASEADDR + 0x4
-- "0010" C_BASEADDR + 0x8
-- "0001" C_BASEADDR + 0xC
--
------------------------------------------
slv_reg_write_sel <= Bus2IP_WrCE(1 downto 0);
slv_reg_read_sel <= Bus2IP_RdCE(1 downto 0);
slv_write_ack <= Bus2IP_WrCE(0) or Bus2IP_WrCE(1);
slv_read_ack <= Bus2IP_RdCE(0) or Bus2IP_RdCE(1);
-- implement slave model software accessible register(s)
SLAVE_REG_WRITE_PROC : process( Bus2IP_Clk ) is
begin
if Bus2IP_Clk'event and Bus2IP_Clk = '1' then
if Bus2IP_Resetn = '0' then
slv_reg0 <= (others => '0');
slv_reg1 <= (others => '0');
else
case slv_reg_write_sel is
when "10" =>
for byte_index in 0 to (C_SLV_DWIDTH/8)-1 loop
if ( Bus2IP_BE(byte_index) = '1' ) then
slv_reg0(byte_index*8+7 downto byte_index*8) <= Bus2IP_Data(byte_index*8+7 downto byte_index*8);
end if;
end loop;
when "01" =>
for byte_index in 0 to (C_SLV_DWIDTH/8)-1 loop
if ( Bus2IP_BE(byte_index) = '1' ) then
slv_reg1(byte_index*8+7 downto byte_index*8) <= Bus2IP_Data(byte_index*8+7 downto byte_index*8);
end if;
end loop;
when others => null;
end case;
end if;
end if;
end process SLAVE_REG_WRITE_PROC;
-- implement slave model software accessible register(s) read mux
SLAVE_REG_READ_PROC : process( slv_reg_read_sel, slv_reg0, slv_reg1 ) is
begin
case slv_reg_read_sel is
when "10" => slv_ip2bus_data <= slv_reg0;
when "01" => slv_ip2bus_data <= slv_reg1;
when others => slv_ip2bus_data <= (others => '0');
end case;
end process SLAVE_REG_READ_PROC;
------------------------------------------
-- Example code to drive IP to Bus signals
------------------------------------------
IP2Bus_Data <= slv_ip2bus_data when slv_read_ack = '1' else
(others => '0');
IP2Bus_WrAck <= slv_write_ack;
IP2Bus_RdAck <= slv_read_ack;
IP2Bus_Error <= '0';
end IMP;
|
------------------------------------------------------------------------------
-- user_logic.vhd - entity/architecture pair
------------------------------------------------------------------------------
--
-- ***************************************************************************
-- ** Copyright (c) 1995-2012 Xilinx, Inc. All rights reserved. **
-- ** **
-- ** Xilinx, Inc. **
-- ** XILINX IS PROVIDING THIS DESIGN, CODE, OR INFORMATION "AS IS" **
-- ** AS A COURTESY TO YOU, SOLELY FOR USE IN DEVELOPING PROGRAMS AND **
-- ** SOLUTIONS FOR XILINX DEVICES. BY PROVIDING THIS DESIGN, CODE, **
-- ** OR INFORMATION AS ONE POSSIBLE IMPLEMENTATION OF THIS FEATURE, **
-- ** APPLICATION OR STANDARD, XILINX IS MAKING NO REPRESENTATION **
-- ** THAT THIS IMPLEMENTATION IS FREE FROM ANY CLAIMS OF INFRINGEMENT, **
-- ** AND YOU ARE RESPONSIBLE FOR OBTAINING ANY RIGHTS YOU MAY REQUIRE **
-- ** FOR YOUR IMPLEMENTATION. XILINX EXPRESSLY DISCLAIMS ANY **
-- ** WARRANTY WHATSOEVER WITH RESPECT TO THE ADEQUACY OF THE **
-- ** IMPLEMENTATION, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OR **
-- ** REPRESENTATIONS THAT THIS IMPLEMENTATION IS FREE FROM CLAIMS OF **
-- ** INFRINGEMENT, IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS **
-- ** FOR A PARTICULAR PURPOSE. **
-- ** **
-- ***************************************************************************
--
------------------------------------------------------------------------------
-- Filename: user_logic.vhd
-- Version: 1.00.a
-- Description: User logic.
-- Date: Mon Apr 13 19:59:47 2015 (by Create and Import Peripheral Wizard)
-- VHDL Standard: VHDL'93
------------------------------------------------------------------------------
-- Naming Conventions:
-- active low signals: "*_n"
-- clock signals: "clk", "clk_div#", "clk_#x"
-- reset signals: "rst", "rst_n"
-- generics: "C_*"
-- user defined types: "*_TYPE"
-- state machine next state: "*_ns"
-- state machine current state: "*_cs"
-- combinatorial signals: "*_com"
-- pipelined or register delay signals: "*_d#"
-- counter signals: "*cnt*"
-- clock enable signals: "*_ce"
-- internal version of output port: "*_i"
-- device pins: "*_pin"
-- ports: "- Names begin with Uppercase"
-- processes: "*_PROCESS"
-- component instantiations: "<ENTITY_>I_<#|FUNC>"
------------------------------------------------------------------------------
-- DO NOT EDIT BELOW THIS LINE --------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_arith.all;
use ieee.std_logic_unsigned.all;
library proc_common_v3_00_a;
use proc_common_v3_00_a.proc_common_pkg.all;
-- DO NOT EDIT ABOVE THIS LINE --------------------
--USER libraries added here
------------------------------------------------------------------------------
-- Entity section
------------------------------------------------------------------------------
-- Definition of Generics:
-- C_NUM_REG -- Number of software accessible registers
-- C_SLV_DWIDTH -- Slave interface data bus width
--
-- Definition of Ports:
-- Bus2IP_Clk -- Bus to IP clock
-- Bus2IP_Resetn -- Bus to IP reset
-- Bus2IP_Data -- Bus to IP data bus
-- Bus2IP_BE -- Bus to IP byte enables
-- Bus2IP_RdCE -- Bus to IP read chip enable
-- Bus2IP_WrCE -- Bus to IP write chip enable
-- IP2Bus_Data -- IP to Bus data bus
-- IP2Bus_RdAck -- IP to Bus read transfer acknowledgement
-- IP2Bus_WrAck -- IP to Bus write transfer acknowledgement
-- IP2Bus_Error -- IP to Bus error response
------------------------------------------------------------------------------
entity user_logic is
generic
(
-- ADD USER GENERICS BELOW THIS LINE ---------------
--USER generics added here
-- ADD USER GENERICS ABOVE THIS LINE ---------------
-- DO NOT EDIT BELOW THIS LINE ---------------------
-- Bus protocol parameters, do not add to or delete
C_NUM_REG : integer := 2;
C_SLV_DWIDTH : integer := 32
-- DO NOT EDIT ABOVE THIS LINE ---------------------
);
port
(
-- ADD USER PORTS BELOW THIS LINE ------------------
clk_48_i : in std_logic;
sample_data_L_in : in std_logic_vector(23 downto 0);
sample_data_R_in : in std_logic_vector(23 downto 0);
sample_data_L_out : out std_logic_vector(23 downto 0);
sample_data_R_out : out std_logic_vector(23 downto 0);
-- ADD USER PORTS ABOVE THIS LINE ------------------
-- DO NOT EDIT BELOW THIS LINE ---------------------
-- Bus protocol ports, do not add to or delete
Bus2IP_Clk : in std_logic;
Bus2IP_Resetn : in std_logic;
Bus2IP_Data : in std_logic_vector(C_SLV_DWIDTH-1 downto 0);
Bus2IP_BE : in std_logic_vector(C_SLV_DWIDTH/8-1 downto 0);
Bus2IP_RdCE : in std_logic_vector(C_NUM_REG-1 downto 0);
Bus2IP_WrCE : in std_logic_vector(C_NUM_REG-1 downto 0);
IP2Bus_Data : out std_logic_vector(C_SLV_DWIDTH-1 downto 0);
IP2Bus_RdAck : out std_logic;
IP2Bus_WrAck : out std_logic;
IP2Bus_Error : out std_logic
-- DO NOT EDIT ABOVE THIS LINE ---------------------
);
attribute MAX_FANOUT : string;
attribute SIGIS : string;
attribute SIGIS of Bus2IP_Clk : signal is "CLK";
attribute SIGIS of Bus2IP_Resetn : signal is "RST";
end entity user_logic;
------------------------------------------------------------------------------
-- Architecture section
------------------------------------------------------------------------------
architecture IMP of user_logic is
--USER signal declarations added here, as needed for user logic
------------------------------------------
-- Signals for user logic slave model s/w accessible register example
------------------------------------------
signal slv_reg0 : std_logic_vector(C_SLV_DWIDTH-1 downto 0);
signal slv_reg1 : std_logic_vector(C_SLV_DWIDTH-1 downto 0);
signal slv_reg_write_sel : std_logic_vector(1 downto 0);
signal slv_reg_read_sel : std_logic_vector(1 downto 0);
signal slv_ip2bus_data : std_logic_vector(C_SLV_DWIDTH-1 downto 0);
signal slv_read_ack : std_logic;
signal slv_write_ack : std_logic;
begin
--USER logic implementation added here
------------------------------------------
-- Example code to read/write user logic slave model s/w accessible registers
--
-- Note:
-- The example code presented here is to show you one way of reading/writing
-- software accessible registers implemented in the user logic slave model.
-- Each bit of the Bus2IP_WrCE/Bus2IP_RdCE signals is configured to correspond
-- to one software accessible register by the top level template. For example,
-- if you have four 32 bit software accessible registers in the user logic,
-- you are basically operating on the following memory mapped registers:
--
-- Bus2IP_WrCE/Bus2IP_RdCE Memory Mapped Register
-- "1000" C_BASEADDR + 0x0
-- "0100" C_BASEADDR + 0x4
-- "0010" C_BASEADDR + 0x8
-- "0001" C_BASEADDR + 0xC
--
------------------------------------------
slv_reg_write_sel <= Bus2IP_WrCE(1 downto 0);
slv_reg_read_sel <= Bus2IP_RdCE(1 downto 0);
slv_write_ack <= Bus2IP_WrCE(0) or Bus2IP_WrCE(1);
slv_read_ack <= Bus2IP_RdCE(0) or Bus2IP_RdCE(1);
-- implement slave model software accessible register(s)
SLAVE_REG_WRITE_PROC : process( Bus2IP_Clk ) is
begin
if Bus2IP_Clk'event and Bus2IP_Clk = '1' then
if Bus2IP_Resetn = '0' then
slv_reg0 <= (others => '0');
slv_reg1 <= (others => '0');
else
case slv_reg_write_sel is
when "10" =>
for byte_index in 0 to (C_SLV_DWIDTH/8)-1 loop
if ( Bus2IP_BE(byte_index) = '1' ) then
slv_reg0(byte_index*8+7 downto byte_index*8) <= Bus2IP_Data(byte_index*8+7 downto byte_index*8);
end if;
end loop;
when "01" =>
for byte_index in 0 to (C_SLV_DWIDTH/8)-1 loop
if ( Bus2IP_BE(byte_index) = '1' ) then
slv_reg1(byte_index*8+7 downto byte_index*8) <= Bus2IP_Data(byte_index*8+7 downto byte_index*8);
end if;
end loop;
when others => null;
end case;
end if;
end if;
end process SLAVE_REG_WRITE_PROC;
-- implement slave model software accessible register(s) read mux
SLAVE_REG_READ_PROC : process( slv_reg_read_sel, slv_reg0, slv_reg1 ) is
begin
case slv_reg_read_sel is
when "10" => slv_ip2bus_data <= slv_reg0;
when "01" => slv_ip2bus_data <= slv_reg1;
when others => slv_ip2bus_data <= (others => '0');
end case;
end process SLAVE_REG_READ_PROC;
------------------------------------------
-- Example code to drive IP to Bus signals
------------------------------------------
IP2Bus_Data <= slv_ip2bus_data when slv_read_ack = '1' else
(others => '0');
IP2Bus_WrAck <= slv_write_ack;
IP2Bus_RdAck <= slv_read_ack;
IP2Bus_Error <= '0';
end IMP;
|
------------------------------------------------------------------------------
-- user_logic.vhd - entity/architecture pair
------------------------------------------------------------------------------
--
-- ***************************************************************************
-- ** Copyright (c) 1995-2012 Xilinx, Inc. All rights reserved. **
-- ** **
-- ** Xilinx, Inc. **
-- ** XILINX IS PROVIDING THIS DESIGN, CODE, OR INFORMATION "AS IS" **
-- ** AS A COURTESY TO YOU, SOLELY FOR USE IN DEVELOPING PROGRAMS AND **
-- ** SOLUTIONS FOR XILINX DEVICES. BY PROVIDING THIS DESIGN, CODE, **
-- ** OR INFORMATION AS ONE POSSIBLE IMPLEMENTATION OF THIS FEATURE, **
-- ** APPLICATION OR STANDARD, XILINX IS MAKING NO REPRESENTATION **
-- ** THAT THIS IMPLEMENTATION IS FREE FROM ANY CLAIMS OF INFRINGEMENT, **
-- ** AND YOU ARE RESPONSIBLE FOR OBTAINING ANY RIGHTS YOU MAY REQUIRE **
-- ** FOR YOUR IMPLEMENTATION. XILINX EXPRESSLY DISCLAIMS ANY **
-- ** WARRANTY WHATSOEVER WITH RESPECT TO THE ADEQUACY OF THE **
-- ** IMPLEMENTATION, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OR **
-- ** REPRESENTATIONS THAT THIS IMPLEMENTATION IS FREE FROM CLAIMS OF **
-- ** INFRINGEMENT, IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS **
-- ** FOR A PARTICULAR PURPOSE. **
-- ** **
-- ***************************************************************************
--
------------------------------------------------------------------------------
-- Filename: user_logic.vhd
-- Version: 1.00.a
-- Description: User logic.
-- Date: Mon Apr 13 19:59:47 2015 (by Create and Import Peripheral Wizard)
-- VHDL Standard: VHDL'93
------------------------------------------------------------------------------
-- Naming Conventions:
-- active low signals: "*_n"
-- clock signals: "clk", "clk_div#", "clk_#x"
-- reset signals: "rst", "rst_n"
-- generics: "C_*"
-- user defined types: "*_TYPE"
-- state machine next state: "*_ns"
-- state machine current state: "*_cs"
-- combinatorial signals: "*_com"
-- pipelined or register delay signals: "*_d#"
-- counter signals: "*cnt*"
-- clock enable signals: "*_ce"
-- internal version of output port: "*_i"
-- device pins: "*_pin"
-- ports: "- Names begin with Uppercase"
-- processes: "*_PROCESS"
-- component instantiations: "<ENTITY_>I_<#|FUNC>"
------------------------------------------------------------------------------
-- DO NOT EDIT BELOW THIS LINE --------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_arith.all;
use ieee.std_logic_unsigned.all;
library proc_common_v3_00_a;
use proc_common_v3_00_a.proc_common_pkg.all;
-- DO NOT EDIT ABOVE THIS LINE --------------------
--USER libraries added here
------------------------------------------------------------------------------
-- Entity section
------------------------------------------------------------------------------
-- Definition of Generics:
-- C_NUM_REG -- Number of software accessible registers
-- C_SLV_DWIDTH -- Slave interface data bus width
--
-- Definition of Ports:
-- Bus2IP_Clk -- Bus to IP clock
-- Bus2IP_Resetn -- Bus to IP reset
-- Bus2IP_Data -- Bus to IP data bus
-- Bus2IP_BE -- Bus to IP byte enables
-- Bus2IP_RdCE -- Bus to IP read chip enable
-- Bus2IP_WrCE -- Bus to IP write chip enable
-- IP2Bus_Data -- IP to Bus data bus
-- IP2Bus_RdAck -- IP to Bus read transfer acknowledgement
-- IP2Bus_WrAck -- IP to Bus write transfer acknowledgement
-- IP2Bus_Error -- IP to Bus error response
------------------------------------------------------------------------------
entity user_logic is
generic
(
-- ADD USER GENERICS BELOW THIS LINE ---------------
--USER generics added here
-- ADD USER GENERICS ABOVE THIS LINE ---------------
-- DO NOT EDIT BELOW THIS LINE ---------------------
-- Bus protocol parameters, do not add to or delete
C_NUM_REG : integer := 2;
C_SLV_DWIDTH : integer := 32
-- DO NOT EDIT ABOVE THIS LINE ---------------------
);
port
(
-- ADD USER PORTS BELOW THIS LINE ------------------
clk_48_i : in std_logic;
sample_data_L_in : in std_logic_vector(23 downto 0);
sample_data_R_in : in std_logic_vector(23 downto 0);
sample_data_L_out : out std_logic_vector(23 downto 0);
sample_data_R_out : out std_logic_vector(23 downto 0);
-- ADD USER PORTS ABOVE THIS LINE ------------------
-- DO NOT EDIT BELOW THIS LINE ---------------------
-- Bus protocol ports, do not add to or delete
Bus2IP_Clk : in std_logic;
Bus2IP_Resetn : in std_logic;
Bus2IP_Data : in std_logic_vector(C_SLV_DWIDTH-1 downto 0);
Bus2IP_BE : in std_logic_vector(C_SLV_DWIDTH/8-1 downto 0);
Bus2IP_RdCE : in std_logic_vector(C_NUM_REG-1 downto 0);
Bus2IP_WrCE : in std_logic_vector(C_NUM_REG-1 downto 0);
IP2Bus_Data : out std_logic_vector(C_SLV_DWIDTH-1 downto 0);
IP2Bus_RdAck : out std_logic;
IP2Bus_WrAck : out std_logic;
IP2Bus_Error : out std_logic
-- DO NOT EDIT ABOVE THIS LINE ---------------------
);
attribute MAX_FANOUT : string;
attribute SIGIS : string;
attribute SIGIS of Bus2IP_Clk : signal is "CLK";
attribute SIGIS of Bus2IP_Resetn : signal is "RST";
end entity user_logic;
------------------------------------------------------------------------------
-- Architecture section
------------------------------------------------------------------------------
architecture IMP of user_logic is
--USER signal declarations added here, as needed for user logic
------------------------------------------
-- Signals for user logic slave model s/w accessible register example
------------------------------------------
signal slv_reg0 : std_logic_vector(C_SLV_DWIDTH-1 downto 0);
signal slv_reg1 : std_logic_vector(C_SLV_DWIDTH-1 downto 0);
signal slv_reg_write_sel : std_logic_vector(1 downto 0);
signal slv_reg_read_sel : std_logic_vector(1 downto 0);
signal slv_ip2bus_data : std_logic_vector(C_SLV_DWIDTH-1 downto 0);
signal slv_read_ack : std_logic;
signal slv_write_ack : std_logic;
begin
--USER logic implementation added here
------------------------------------------
-- Example code to read/write user logic slave model s/w accessible registers
--
-- Note:
-- The example code presented here is to show you one way of reading/writing
-- software accessible registers implemented in the user logic slave model.
-- Each bit of the Bus2IP_WrCE/Bus2IP_RdCE signals is configured to correspond
-- to one software accessible register by the top level template. For example,
-- if you have four 32 bit software accessible registers in the user logic,
-- you are basically operating on the following memory mapped registers:
--
-- Bus2IP_WrCE/Bus2IP_RdCE Memory Mapped Register
-- "1000" C_BASEADDR + 0x0
-- "0100" C_BASEADDR + 0x4
-- "0010" C_BASEADDR + 0x8
-- "0001" C_BASEADDR + 0xC
--
------------------------------------------
slv_reg_write_sel <= Bus2IP_WrCE(1 downto 0);
slv_reg_read_sel <= Bus2IP_RdCE(1 downto 0);
slv_write_ack <= Bus2IP_WrCE(0) or Bus2IP_WrCE(1);
slv_read_ack <= Bus2IP_RdCE(0) or Bus2IP_RdCE(1);
-- implement slave model software accessible register(s)
SLAVE_REG_WRITE_PROC : process( Bus2IP_Clk ) is
begin
if Bus2IP_Clk'event and Bus2IP_Clk = '1' then
if Bus2IP_Resetn = '0' then
slv_reg0 <= (others => '0');
slv_reg1 <= (others => '0');
else
case slv_reg_write_sel is
when "10" =>
for byte_index in 0 to (C_SLV_DWIDTH/8)-1 loop
if ( Bus2IP_BE(byte_index) = '1' ) then
slv_reg0(byte_index*8+7 downto byte_index*8) <= Bus2IP_Data(byte_index*8+7 downto byte_index*8);
end if;
end loop;
when "01" =>
for byte_index in 0 to (C_SLV_DWIDTH/8)-1 loop
if ( Bus2IP_BE(byte_index) = '1' ) then
slv_reg1(byte_index*8+7 downto byte_index*8) <= Bus2IP_Data(byte_index*8+7 downto byte_index*8);
end if;
end loop;
when others => null;
end case;
end if;
end if;
end process SLAVE_REG_WRITE_PROC;
-- implement slave model software accessible register(s) read mux
SLAVE_REG_READ_PROC : process( slv_reg_read_sel, slv_reg0, slv_reg1 ) is
begin
case slv_reg_read_sel is
when "10" => slv_ip2bus_data <= slv_reg0;
when "01" => slv_ip2bus_data <= slv_reg1;
when others => slv_ip2bus_data <= (others => '0');
end case;
end process SLAVE_REG_READ_PROC;
------------------------------------------
-- Example code to drive IP to Bus signals
------------------------------------------
IP2Bus_Data <= slv_ip2bus_data when slv_read_ack = '1' else
(others => '0');
IP2Bus_WrAck <= slv_write_ack;
IP2Bus_RdAck <= slv_read_ack;
IP2Bus_Error <= '0';
end IMP;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003, Gaisler Research
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: odpad
-- File: odpad.vhd
-- Author: Jiri Gaisler - Gaisler Research
-- Description: tri-state output pad with technology wrapper
------------------------------------------------------------------------------
library techmap;
library ieee;
use ieee.std_logic_1164.all;
use techmap.gencomp.all;
use techmap.allpads.all;
entity odpad is
generic (tech : integer := 0; level : integer := 0; slew : integer := 0;
voltage : integer := x33v; strength : integer := 12;
oepol : integer := 0);
port (pad : out std_ulogic; i : in std_ulogic);
end;
architecture rtl of odpad is
signal gnd, oen, padx : std_ulogic;
begin
oen <= not i when oepol /= padoen_polarity(tech) else i;
gnd <= '0';
gen0 : if has_pads(tech) = 0 generate
pad <= gnd after 2 ns when oen = '0'
-- pragma translate_off
else 'X' after 2 ns when is_x(i)
-- pragma translate_on
else 'Z' after 2 ns;
end generate;
xcv : if (tech = virtex) or (tech = virtex2) or (tech = spartan3) or
(tech = virtex4) or (tech = spartan3e) or (tech = virtex5)
generate
x0 : virtex_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
axc : if (tech = axcel) or (tech = proasic) or (tech = apa3) generate
x0 : axcel_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
atc : if (tech = atc18s) generate
x0 : atc18_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
atcrh : if (tech = atc18rha) generate
x0 : atc18rha_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
um : if (tech = umc) generate
x0 : umc_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
rhu : if (tech = rhumc) generate
x0 : rhumc_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
ihp : if (tech = ihp25) generate
x0 : ihp25_toutpad generic map(level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
rh18t : if (tech = rhlib18t) generate
x0 : rh_lib18t_iopad generic map (strength)
port map (padx, gnd, oen, open);
pad <= padx;
end generate;
ut025 : if (tech = ut25) generate
x0 : ut025crh_iopad generic map (strength)
port map (padx, gnd, oen, open);
pad <= padx;
end generate;
pere : if (tech = peregrine) generate
x0 : peregrine_iopad generic map (strength)
port map (padx, gnd, oen, open);
pad <= padx;
end generate;
nex : if (tech = easic90) generate
x0 : nextreme_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
end;
library techmap;
library ieee;
use ieee.std_logic_1164.all;
use techmap.gencomp.all;
entity odpadv is
generic (tech : integer := 0; level : integer := 0; slew : integer := 0;
voltage : integer := 0; strength : integer := 0; width : integer := 1;
oepol : integer := 0);
port (
pad : out std_logic_vector(width-1 downto 0);
i : in std_logic_vector(width-1 downto 0));
end;
architecture rtl of odpadv is
begin
v : for j in width-1 downto 0 generate
x0 : odpad generic map (tech, level, slew, voltage, strength, oepol)
port map (pad(j), i(j));
end generate;
end;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003, Gaisler Research
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: odpad
-- File: odpad.vhd
-- Author: Jiri Gaisler - Gaisler Research
-- Description: tri-state output pad with technology wrapper
------------------------------------------------------------------------------
library techmap;
library ieee;
use ieee.std_logic_1164.all;
use techmap.gencomp.all;
use techmap.allpads.all;
entity odpad is
generic (tech : integer := 0; level : integer := 0; slew : integer := 0;
voltage : integer := x33v; strength : integer := 12;
oepol : integer := 0);
port (pad : out std_ulogic; i : in std_ulogic);
end;
architecture rtl of odpad is
signal gnd, oen, padx : std_ulogic;
begin
oen <= not i when oepol /= padoen_polarity(tech) else i;
gnd <= '0';
gen0 : if has_pads(tech) = 0 generate
pad <= gnd after 2 ns when oen = '0'
-- pragma translate_off
else 'X' after 2 ns when is_x(i)
-- pragma translate_on
else 'Z' after 2 ns;
end generate;
xcv : if (tech = virtex) or (tech = virtex2) or (tech = spartan3) or
(tech = virtex4) or (tech = spartan3e) or (tech = virtex5)
generate
x0 : virtex_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
axc : if (tech = axcel) or (tech = proasic) or (tech = apa3) generate
x0 : axcel_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
atc : if (tech = atc18s) generate
x0 : atc18_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
atcrh : if (tech = atc18rha) generate
x0 : atc18rha_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
um : if (tech = umc) generate
x0 : umc_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
rhu : if (tech = rhumc) generate
x0 : rhumc_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
ihp : if (tech = ihp25) generate
x0 : ihp25_toutpad generic map(level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
rh18t : if (tech = rhlib18t) generate
x0 : rh_lib18t_iopad generic map (strength)
port map (padx, gnd, oen, open);
pad <= padx;
end generate;
ut025 : if (tech = ut25) generate
x0 : ut025crh_iopad generic map (strength)
port map (padx, gnd, oen, open);
pad <= padx;
end generate;
pere : if (tech = peregrine) generate
x0 : peregrine_iopad generic map (strength)
port map (padx, gnd, oen, open);
pad <= padx;
end generate;
nex : if (tech = easic90) generate
x0 : nextreme_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
end;
library techmap;
library ieee;
use ieee.std_logic_1164.all;
use techmap.gencomp.all;
entity odpadv is
generic (tech : integer := 0; level : integer := 0; slew : integer := 0;
voltage : integer := 0; strength : integer := 0; width : integer := 1;
oepol : integer := 0);
port (
pad : out std_logic_vector(width-1 downto 0);
i : in std_logic_vector(width-1 downto 0));
end;
architecture rtl of odpadv is
begin
v : for j in width-1 downto 0 generate
x0 : odpad generic map (tech, level, slew, voltage, strength, oepol)
port map (pad(j), i(j));
end generate;
end;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003, Gaisler Research
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: sram
-- File: sram.vhd
-- Author: Jiri Gaisler Gaisler Research
-- Description: Simulation model of generic async SRAM
------------------------------------------------------------------------------
-- pragma translate_off
library ieee;
use ieee.std_logic_1164.all;
use std.textio.all;
library gaisler;
use gaisler.sim.all;
library grlib;
use grlib.stdlib.all;
entity sram is
generic (
index : integer := 0; -- Byte lane (0 - 3)
abits: Positive := 10; -- Default 10 address bits (1 Kbyte)
tacc : integer := 10; -- access time (ns)
fname : string := "ram.dat"; -- File to read from
clear : integer := 0); -- Clear memory
port (
a : in std_logic_vector(abits-1 downto 0);
d : inout std_logic_vector(7 downto 0);
ce1 : in std_logic;
we : in std_ulogic;
oe : in std_ulogic);
end;
architecture sim of sram is
subtype BYTE is std_logic_vector(7 downto 0);
type MEM is array(0 to ((2**Abits)-1)) of BYTE;
signal DINT,DI,DO : BYTE;
constant ahigh : integer := abits - 1;
signal wrpre : std_ulogic;
function Vpar(vec : std_logic_vector) return std_ulogic is
variable par : std_ulogic := '1';
begin
for i in vec'range loop --'
par := par xor vec(i);
end loop;
return par;
end;
begin
RAM : process(CE1,WE,DI,A,OE,D)
variable MEMA : MEM;
variable L1 : line;
variable FIRST : boolean := true;
variable ADR : std_logic_vector(19 downto 0);
variable BUF : std_logic_vector(31 downto 0);
variable CH : character;
variable ai : integer := 0;
file TCF : text open read_mode is fname;
variable rectype : std_logic_vector(3 downto 0);
variable recaddr : std_logic_vector(31 downto 0);
variable reclen : std_logic_vector(7 downto 0);
variable recdata : std_logic_vector(0 to 16*8-1);
begin
if FIRST then
if clear = 1 then MEMA := (others => X"00"); end if;
L1:= new string'(""); --'
while not endfile(TCF) loop
readline(TCF,L1);
if (L1'length /= 0) then --'
while (not (L1'length=0)) and (L1(L1'left) = ' ') loop
std.textio.read(L1,CH);
end loop;
if L1'length > 0 then --'
read(L1, ch);
if (ch = 'S') or (ch = 's') then
hexread(L1, rectype);
hexread(L1, reclen);
recaddr := (others => '0');
case rectype is
when "0001" =>
hexread(L1, recaddr(15 downto 0));
when "0010" =>
hexread(L1, recaddr(23 downto 0));
when "0011" =>
hexread(L1, recaddr);
recaddr(31 downto abits) := (others => '0');
when others => next;
end case;
hexread(L1, recdata);
if index = 6 then
ai := conv_integer(recaddr);
for i in 0 to 15 loop
MEMA(ai+i) := recdata((i*8) to (i*8+7));
end loop;
elsif (index = 4) or (index = 5) then
ai := conv_integer(recaddr)/2;
for i in 0 to 7 loop
MEMA(ai+i) := recdata((i*16+(index-4)*8) to (i*16+(index-4)*8+7));
end loop;
else
ai := conv_integer(recaddr)/4;
for i in 0 to 3 loop
MEMA(ai+i) := recdata((i*32+index*8) to (i*32+index*8+7));
end loop;
end if;
end if;
end if;
end if;
end loop;
FIRST := false;
else
if (TO_X01(not CE1) = '1') then
if not is_x(a) then ai := conv_integer(A(abits-1 downto 0)); else ai := 0; end if;
dint <= mema(ai);
end if;
if (TO_X01(CE1 or WE) = '1') then
if wrpre = '1' then
mema(ai) := to_x01(std_logic_vector(DI));
end if;
end if;
end if;
wrpre <= TO_X01((not CE1) and (not WE));
DI <= D;
end process;
BUFS : process(CE1,WE,DINT,OE)
variable DRIVEB : std_logic;
begin
DRIVEB := TO_X01((not CE1) and (not OE) and WE);
case DRIVEB is
when '1' => D <= DINT after tacc * 1 ns;
when '0' => D <= "ZZZZZZZZ" after 8 ns;
when others => D <= "XXXXXXXX";
end case;
end process;
end sim;
-- pragma translate_on
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003, Gaisler Research
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: sram
-- File: sram.vhd
-- Author: Jiri Gaisler Gaisler Research
-- Description: Simulation model of generic async SRAM
------------------------------------------------------------------------------
-- pragma translate_off
library ieee;
use ieee.std_logic_1164.all;
use std.textio.all;
library gaisler;
use gaisler.sim.all;
library grlib;
use grlib.stdlib.all;
entity sram is
generic (
index : integer := 0; -- Byte lane (0 - 3)
abits: Positive := 10; -- Default 10 address bits (1 Kbyte)
tacc : integer := 10; -- access time (ns)
fname : string := "ram.dat"; -- File to read from
clear : integer := 0); -- Clear memory
port (
a : in std_logic_vector(abits-1 downto 0);
d : inout std_logic_vector(7 downto 0);
ce1 : in std_logic;
we : in std_ulogic;
oe : in std_ulogic);
end;
architecture sim of sram is
subtype BYTE is std_logic_vector(7 downto 0);
type MEM is array(0 to ((2**Abits)-1)) of BYTE;
signal DINT,DI,DO : BYTE;
constant ahigh : integer := abits - 1;
signal wrpre : std_ulogic;
function Vpar(vec : std_logic_vector) return std_ulogic is
variable par : std_ulogic := '1';
begin
for i in vec'range loop --'
par := par xor vec(i);
end loop;
return par;
end;
begin
RAM : process(CE1,WE,DI,A,OE,D)
variable MEMA : MEM;
variable L1 : line;
variable FIRST : boolean := true;
variable ADR : std_logic_vector(19 downto 0);
variable BUF : std_logic_vector(31 downto 0);
variable CH : character;
variable ai : integer := 0;
file TCF : text open read_mode is fname;
variable rectype : std_logic_vector(3 downto 0);
variable recaddr : std_logic_vector(31 downto 0);
variable reclen : std_logic_vector(7 downto 0);
variable recdata : std_logic_vector(0 to 16*8-1);
begin
if FIRST then
if clear = 1 then MEMA := (others => X"00"); end if;
L1:= new string'(""); --'
while not endfile(TCF) loop
readline(TCF,L1);
if (L1'length /= 0) then --'
while (not (L1'length=0)) and (L1(L1'left) = ' ') loop
std.textio.read(L1,CH);
end loop;
if L1'length > 0 then --'
read(L1, ch);
if (ch = 'S') or (ch = 's') then
hexread(L1, rectype);
hexread(L1, reclen);
recaddr := (others => '0');
case rectype is
when "0001" =>
hexread(L1, recaddr(15 downto 0));
when "0010" =>
hexread(L1, recaddr(23 downto 0));
when "0011" =>
hexread(L1, recaddr);
recaddr(31 downto abits) := (others => '0');
when others => next;
end case;
hexread(L1, recdata);
if index = 6 then
ai := conv_integer(recaddr);
for i in 0 to 15 loop
MEMA(ai+i) := recdata((i*8) to (i*8+7));
end loop;
elsif (index = 4) or (index = 5) then
ai := conv_integer(recaddr)/2;
for i in 0 to 7 loop
MEMA(ai+i) := recdata((i*16+(index-4)*8) to (i*16+(index-4)*8+7));
end loop;
else
ai := conv_integer(recaddr)/4;
for i in 0 to 3 loop
MEMA(ai+i) := recdata((i*32+index*8) to (i*32+index*8+7));
end loop;
end if;
end if;
end if;
end if;
end loop;
FIRST := false;
else
if (TO_X01(not CE1) = '1') then
if not is_x(a) then ai := conv_integer(A(abits-1 downto 0)); else ai := 0; end if;
dint <= mema(ai);
end if;
if (TO_X01(CE1 or WE) = '1') then
if wrpre = '1' then
mema(ai) := to_x01(std_logic_vector(DI));
end if;
end if;
end if;
wrpre <= TO_X01((not CE1) and (not WE));
DI <= D;
end process;
BUFS : process(CE1,WE,DINT,OE)
variable DRIVEB : std_logic;
begin
DRIVEB := TO_X01((not CE1) and (not OE) and WE);
case DRIVEB is
when '1' => D <= DINT after tacc * 1 ns;
when '0' => D <= "ZZZZZZZZ" after 8 ns;
when others => D <= "XXXXXXXX";
end case;
end process;
end sim;
-- pragma translate_on
|
-------------------------------------------------------------------------------
-- $Id: onehot2encoded.vhd,v 1.1.2.1 2009/10/06 21:15:00 gburch Exp $
-------------------------------------------------------------------------------
-- onehot2encoded.vhd - entity/architecture pair
-------------------------------------------------------------------------------
--
-- *************************************************************************
-- ** **
-- ** DISCLAIMER OF LIABILITY **
-- ** **
-- ** This text/file contains proprietary, confidential **
-- ** information of Xilinx, Inc., is distributed under **
-- ** license from Xilinx, Inc., and may be used, copied **
-- ** and/or disclosed only pursuant to the terms of a valid **
-- ** license agreement with Xilinx, Inc. Xilinx hereby **
-- ** grants you a license to use this text/file solely for **
-- ** design, simulation, implementation and creation of **
-- ** design files limited to Xilinx devices or technologies. **
-- ** Use with non-Xilinx devices or technologies is expressly **
-- ** prohibited and immediately terminates your license unless **
-- ** covered by a separate agreement. **
-- ** **
-- ** Xilinx is providing this design, code, or information **
-- ** "as-is" solely for use in developing programs and **
-- ** solutions for Xilinx devices, with no obligation on the **
-- ** part of Xilinx to provide support. By providing this design, **
-- ** code, or information as one possible implementation of **
-- ** this feature, application or standard, Xilinx is making no **
-- ** representation that this implementation is free from any **
-- ** claims of infringement. You are responsible for obtaining **
-- ** any rights you may require for your implementation. **
-- ** Xilinx expressly disclaims any warranty whatsoever with **
-- ** respect to the adequacy of the implementation, including **
-- ** but not limited to any warranties or representations that this **
-- ** implementation is free from claims of infringement, implied **
-- ** warranties of merchantability or fitness for a particular **
-- ** purpose. **
-- ** **
-- ** Xilinx products are not intended for use in life support **
-- ** appliances, devices, or systems. Use in such applications is **
-- ** expressly prohibited. **
-- ** **
-- ** Any modifications that are made to the Source Code are **
-- ** done at the users sole risk and will be unsupported. **
-- ** The Xilinx Support Hotline does not have access to source **
-- ** code and therefore cannot answer specific questions related **
-- ** to source HDL. The Xilinx Hotline support of original source **
-- ** code IP shall only address issues and questions related **
-- ** to the standard Netlist version of the core (and thus **
-- ** indirectly, the original core source). **
-- ** **
-- ** Copyright (c) 2003,2009 Xilinx, Inc. All rights reserved. **
-- ** **
-- ** This copyright and support notice must be retained as part **
-- ** of this text at all times. **
-- ** **
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: onehot2encoded.vhd
-- Version: v1.02e
-- Description: This file converts a one-hot bus to an encoded bus.
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
-- Structure: General use module
-------------------------------------------------------------------------------
-- Author: ALS
-- History:
-- ALS 08/28/01 -- Version 1.01a creation to include IPIF v1.22a
-- ALS 10/04/01 -- Version 1.02a creation to include IPIF v1.23a
-- ALS 11/27/01
-- ^^^^^^
-- Version 1.02b created to fix registered grant problem.
-- ~~~~~~
-- ALS 01/26/02
-- ^^^^^^
-- Created version 1.02c to fix problem with registered grants, and buslock when
-- the buslock master is holding request high and performing conversion cycles.
-- ~~~~~~
-- ALS 01/09/03
-- ^^^^^^
-- Created version 1.02d to register OPB_timeout to improve timing
-- ~~~~~~
-- bsbrao 09/27/04
-- ^^^^^^
-- Created version 1.02e to upgrade IPIF from opb_ipif_v1_23_a to
-- opb_ipif_v3_01_a
-- ~~~~~~
-- LCW 02/04/05 - update library statements
-- GAB 10/05/09
-- ^^^^^^
-- Moved all helper libraries proc_common_v2_00_a, opb_ipif_v3_01_a, and
-- opb_arbiter_v1_02_e locally into opb_v20_v1_10_d
--
-- Updated legal header
-- ~~~~~~
-------------------------------------------------------------------------------
-- Naming Conventions:
-- active low signals: "*_n"
-- clock signals: "clk", "clk_div#", "clk_#x"
-- reset signals: "rst", "rst_n"
-- generics: "C_*"
-- user defined types: "*_TYPE"
-- state machine next state: "*_ns"
-- state machine current state: "*_cs"
-- combinatorial signals: "*_cmb"
-- pipelined or register delay signals: "*_d#"
-- counter signals: "*cnt*"
-- clock enable signals: "*_ce"
-- internal version of output port "*_i"
-- device pins: "*_pin"
-- ports: - Names begin with Uppercase
-- processes: "*_PROCESS"
-- component instantiations: "<ENTITY_>I_<#|FUNC>
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
-------------------------------------------------------------------------------
-- OPB_ARB_PKG includes necessary constants and functions
-------------------------------------------------------------------------------
library unisim;
use unisim.vcomponents.all;
library opb_v20_v1_10_d;
use opb_v20_v1_10_d.opb_arb_pkg.all;
-------------------------------------------------------------------------------
-- Port Declaration
-------------------------------------------------------------------------------
-------------------------------------------------------------------------------
-- Definition of Generics:
-- C_1HOT_BUS_SIZE -- number of bits in the 1-hot bus
--
-- Definition of Ports:
-- Bus_1hot -- input 1-hot bus
-- Bus_enc -- output encoded bus
--
-------------------------------------------------------------------------------
-----------------------------------------------------------------------------
-- Entity section
-----------------------------------------------------------------------------
entity onehot2encoded is
generic (
C_1HOT_BUS_SIZE : integer := 8
);
port (
Bus_1hot : in std_logic_vector(0 to C_1HOT_BUS_SIZE-1);
Bus_enc : out std_logic_vector(0 to log2(C_1HOT_BUS_SIZE)-1)
);
end onehot2encoded;
-----------------------------------------------------------------------------
-- Architecture section
-----------------------------------------------------------------------------
architecture implementation of onehot2encoded is
-------------------------------------------------------------------------------
-- Constant Declarations
-------------------------------------------------------------------------------
-- encoder logic requires that the 1hot bus be padded to next power of 2
constant PAD_1HOT_BUS_SIZE : integer := pad_power2(C_1HOT_BUS_SIZE);
-------------------------------------------------------------------------------
-- Signal Declarations
-------------------------------------------------------------------------------
signal pad_1hot_bus : std_logic_vector(0 to PAD_1HOT_BUS_SIZE-1) := (others => '0');
-------------------------------------------------------------------------------
-- Component Declarations
-------------------------------------------------------------------------------
-- OR_BITS is used to determine if segments of the 1-hot bus are '1'
-----------------------------------------------------------------------------
-- Begin architecture
-----------------------------------------------------------------------------
begin
-------------------------------------------------------------------------------
-- Padded bus generation
-------------------------------------------------------------------------------
pad_1hot_bus(0 to C_1HOT_BUS_SIZE-1) <= Bus_1hot;
-------------------------------------------------------------------------------
-- Encoded Bus generation
-------------------------------------------------------------------------------
-- Note this logic uses the padded version of the 1hot bus to insure that
-- the calculations are on a constant which is a power of 2
ENC_BUS_GEN: for i in 0 to log2(PAD_1HOT_BUS_SIZE)-1 generate
signal temp_or : std_logic_vector(0 to 2**i) := (others => '0');
begin
OR_GENERATE: for j in 1 to 2**i generate
BUS_OR: entity opb_v20_v1_10_d.or_bits
generic map ( C_NUM_BITS => PAD_1HOT_BUS_SIZE/2**(i+1),
C_START_BIT => PAD_1HOT_BUS_SIZE/2**(i+1)
+ (j-1)*PAD_1HOT_BUS_SIZE/2**i,
C_BUS_SIZE => PAD_1HOT_BUS_SIZE
)
port map (
In_Bus => pad_1hot_bus,
Sig => temp_or(j-1),
Or_out => temp_or(j)
);
end generate OR_GENERATE;
Bus_enc(i) <= temp_or(2**i);
end generate ENC_BUS_GEN;
end implementation;
|
-------------------------------------------------------------------------------
-- $Id: onehot2encoded.vhd,v 1.1.2.1 2009/10/06 21:15:00 gburch Exp $
-------------------------------------------------------------------------------
-- onehot2encoded.vhd - entity/architecture pair
-------------------------------------------------------------------------------
--
-- *************************************************************************
-- ** **
-- ** DISCLAIMER OF LIABILITY **
-- ** **
-- ** This text/file contains proprietary, confidential **
-- ** information of Xilinx, Inc., is distributed under **
-- ** license from Xilinx, Inc., and may be used, copied **
-- ** and/or disclosed only pursuant to the terms of a valid **
-- ** license agreement with Xilinx, Inc. Xilinx hereby **
-- ** grants you a license to use this text/file solely for **
-- ** design, simulation, implementation and creation of **
-- ** design files limited to Xilinx devices or technologies. **
-- ** Use with non-Xilinx devices or technologies is expressly **
-- ** prohibited and immediately terminates your license unless **
-- ** covered by a separate agreement. **
-- ** **
-- ** Xilinx is providing this design, code, or information **
-- ** "as-is" solely for use in developing programs and **
-- ** solutions for Xilinx devices, with no obligation on the **
-- ** part of Xilinx to provide support. By providing this design, **
-- ** code, or information as one possible implementation of **
-- ** this feature, application or standard, Xilinx is making no **
-- ** representation that this implementation is free from any **
-- ** claims of infringement. You are responsible for obtaining **
-- ** any rights you may require for your implementation. **
-- ** Xilinx expressly disclaims any warranty whatsoever with **
-- ** respect to the adequacy of the implementation, including **
-- ** but not limited to any warranties or representations that this **
-- ** implementation is free from claims of infringement, implied **
-- ** warranties of merchantability or fitness for a particular **
-- ** purpose. **
-- ** **
-- ** Xilinx products are not intended for use in life support **
-- ** appliances, devices, or systems. Use in such applications is **
-- ** expressly prohibited. **
-- ** **
-- ** Any modifications that are made to the Source Code are **
-- ** done at the users sole risk and will be unsupported. **
-- ** The Xilinx Support Hotline does not have access to source **
-- ** code and therefore cannot answer specific questions related **
-- ** to source HDL. The Xilinx Hotline support of original source **
-- ** code IP shall only address issues and questions related **
-- ** to the standard Netlist version of the core (and thus **
-- ** indirectly, the original core source). **
-- ** **
-- ** Copyright (c) 2003,2009 Xilinx, Inc. All rights reserved. **
-- ** **
-- ** This copyright and support notice must be retained as part **
-- ** of this text at all times. **
-- ** **
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: onehot2encoded.vhd
-- Version: v1.02e
-- Description: This file converts a one-hot bus to an encoded bus.
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
-- Structure: General use module
-------------------------------------------------------------------------------
-- Author: ALS
-- History:
-- ALS 08/28/01 -- Version 1.01a creation to include IPIF v1.22a
-- ALS 10/04/01 -- Version 1.02a creation to include IPIF v1.23a
-- ALS 11/27/01
-- ^^^^^^
-- Version 1.02b created to fix registered grant problem.
-- ~~~~~~
-- ALS 01/26/02
-- ^^^^^^
-- Created version 1.02c to fix problem with registered grants, and buslock when
-- the buslock master is holding request high and performing conversion cycles.
-- ~~~~~~
-- ALS 01/09/03
-- ^^^^^^
-- Created version 1.02d to register OPB_timeout to improve timing
-- ~~~~~~
-- bsbrao 09/27/04
-- ^^^^^^
-- Created version 1.02e to upgrade IPIF from opb_ipif_v1_23_a to
-- opb_ipif_v3_01_a
-- ~~~~~~
-- LCW 02/04/05 - update library statements
-- GAB 10/05/09
-- ^^^^^^
-- Moved all helper libraries proc_common_v2_00_a, opb_ipif_v3_01_a, and
-- opb_arbiter_v1_02_e locally into opb_v20_v1_10_d
--
-- Updated legal header
-- ~~~~~~
-------------------------------------------------------------------------------
-- Naming Conventions:
-- active low signals: "*_n"
-- clock signals: "clk", "clk_div#", "clk_#x"
-- reset signals: "rst", "rst_n"
-- generics: "C_*"
-- user defined types: "*_TYPE"
-- state machine next state: "*_ns"
-- state machine current state: "*_cs"
-- combinatorial signals: "*_cmb"
-- pipelined or register delay signals: "*_d#"
-- counter signals: "*cnt*"
-- clock enable signals: "*_ce"
-- internal version of output port "*_i"
-- device pins: "*_pin"
-- ports: - Names begin with Uppercase
-- processes: "*_PROCESS"
-- component instantiations: "<ENTITY_>I_<#|FUNC>
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
-------------------------------------------------------------------------------
-- OPB_ARB_PKG includes necessary constants and functions
-------------------------------------------------------------------------------
library unisim;
use unisim.vcomponents.all;
library opb_v20_v1_10_d;
use opb_v20_v1_10_d.opb_arb_pkg.all;
-------------------------------------------------------------------------------
-- Port Declaration
-------------------------------------------------------------------------------
-------------------------------------------------------------------------------
-- Definition of Generics:
-- C_1HOT_BUS_SIZE -- number of bits in the 1-hot bus
--
-- Definition of Ports:
-- Bus_1hot -- input 1-hot bus
-- Bus_enc -- output encoded bus
--
-------------------------------------------------------------------------------
-----------------------------------------------------------------------------
-- Entity section
-----------------------------------------------------------------------------
entity onehot2encoded is
generic (
C_1HOT_BUS_SIZE : integer := 8
);
port (
Bus_1hot : in std_logic_vector(0 to C_1HOT_BUS_SIZE-1);
Bus_enc : out std_logic_vector(0 to log2(C_1HOT_BUS_SIZE)-1)
);
end onehot2encoded;
-----------------------------------------------------------------------------
-- Architecture section
-----------------------------------------------------------------------------
architecture implementation of onehot2encoded is
-------------------------------------------------------------------------------
-- Constant Declarations
-------------------------------------------------------------------------------
-- encoder logic requires that the 1hot bus be padded to next power of 2
constant PAD_1HOT_BUS_SIZE : integer := pad_power2(C_1HOT_BUS_SIZE);
-------------------------------------------------------------------------------
-- Signal Declarations
-------------------------------------------------------------------------------
signal pad_1hot_bus : std_logic_vector(0 to PAD_1HOT_BUS_SIZE-1) := (others => '0');
-------------------------------------------------------------------------------
-- Component Declarations
-------------------------------------------------------------------------------
-- OR_BITS is used to determine if segments of the 1-hot bus are '1'
-----------------------------------------------------------------------------
-- Begin architecture
-----------------------------------------------------------------------------
begin
-------------------------------------------------------------------------------
-- Padded bus generation
-------------------------------------------------------------------------------
pad_1hot_bus(0 to C_1HOT_BUS_SIZE-1) <= Bus_1hot;
-------------------------------------------------------------------------------
-- Encoded Bus generation
-------------------------------------------------------------------------------
-- Note this logic uses the padded version of the 1hot bus to insure that
-- the calculations are on a constant which is a power of 2
ENC_BUS_GEN: for i in 0 to log2(PAD_1HOT_BUS_SIZE)-1 generate
signal temp_or : std_logic_vector(0 to 2**i) := (others => '0');
begin
OR_GENERATE: for j in 1 to 2**i generate
BUS_OR: entity opb_v20_v1_10_d.or_bits
generic map ( C_NUM_BITS => PAD_1HOT_BUS_SIZE/2**(i+1),
C_START_BIT => PAD_1HOT_BUS_SIZE/2**(i+1)
+ (j-1)*PAD_1HOT_BUS_SIZE/2**i,
C_BUS_SIZE => PAD_1HOT_BUS_SIZE
)
port map (
In_Bus => pad_1hot_bus,
Sig => temp_or(j-1),
Or_out => temp_or(j)
);
end generate OR_GENERATE;
Bus_enc(i) <= temp_or(2**i);
end generate ENC_BUS_GEN;
end implementation;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2014, Aeroflex Gaisler
-- Copyright (C) 2015 - 2016, Cobham Gaisler
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: greth_mb
-- File: greth_mb.vhd
-- Author: Marko Isomaki
-- Description: Ethernet Media Access Controller with Ethernet Debug
-- Communication Link and dual AHB master interfaces
------------------------------------------------------------------------------
library ieee;
library grlib;
library gaisler;
use ieee.std_logic_1164.all;
use grlib.stdlib.all;
use grlib.amba.all;
use grlib.devices.all;
library techmap;
use techmap.gencomp.all;
use gaisler.net.all;
use gaisler.ethernet_mac.all;
library eth;
use eth.ethcomp.all;
entity greth_mb is
generic(
hindex : integer := 0;
ehindex : integer := 0;
pindex : integer := 0;
paddr : integer := 0;
pmask : integer := 16#FFF#;
pirq : integer := 0;
memtech : integer := 0;
ifg_gap : integer := 24;
attempt_limit : integer := 16;
backoff_limit : integer := 10;
slot_time : integer := 128;
mdcscaler : integer range 0 to 255 := 25;
enable_mdio : integer range 0 to 1 := 0;
fifosize : integer range 4 to 512 := 8;
nsync : integer range 1 to 2 := 2;
edcl : integer range 0 to 3 := 0;
edclbufsz : integer range 1 to 64 := 1;
macaddrh : integer := 16#00005E#;
macaddrl : integer := 16#000000#;
ipaddrh : integer := 16#c0a8#;
ipaddrl : integer := 16#0035#;
phyrstadr : integer range 0 to 32 := 0;
rmii : integer range 0 to 1 := 0;
oepol : integer range 0 to 1 := 0;
scanen : integer range 0 to 1 := 0;
ft : integer range 0 to 2 := 0;
edclft : integer range 0 to 2 := 0;
mdint_pol : integer range 0 to 1 := 0;
enable_mdint : integer range 0 to 1 := 0;
multicast : integer range 0 to 1 := 0;
edclsepahb : integer range 0 to 1 := 0;
ramdebug : integer range 0 to 2 := 0;
mdiohold : integer := 1;
maxsize : integer;
gmiimode : integer range 0 to 1 := 0
);
port(
rst : in std_ulogic;
clk : in std_ulogic;
ahbmi : in ahb_mst_in_type;
ahbmo : out ahb_mst_out_type;
ahbmi2 : in ahb_mst_in_type;
ahbmo2 : out ahb_mst_out_type;
apbi : in apb_slv_in_type;
apbo : out apb_slv_out_type;
ethi : in eth_in_type;
etho : out eth_out_type
);
end entity;
architecture rtl of greth_mb is
function getfifosize(edcl, fifosize, ebufsize : in integer) return integer is
begin
if (edcl /= 0) and (ebufsize > fifosize) then
return ebufsize;
else
return fifosize;
end if;
end function;
constant fabits : integer := log2(fifosize);
type szvct is array (0 to 6) of integer;
constant ebuf : szvct := (64, 128, 128, 256, 256, 256, 256);
constant eabits : integer := log2(edclbufsz) + 8;
constant bufsize : std_logic_vector(2 downto 0) :=
conv_std_logic_vector(log2(edclbufsz), 3);
constant ebufsize : integer := ebuf(log2(edclbufsz));
constant txfifosize : integer := getfifosize(edcl, fifosize, ebufsize);
constant txfabits : integer := log2(txfifosize);
constant REVISION : amba_version_type := 0;
constant pconfig : apb_config_type := (
0 => ahb_device_reg ( VENDOR_GAISLER, GAISLER_ETHMAC, 0, REVISION, pirq),
1 => apb_iobar(paddr, pmask));
constant hconfig : ahb_config_type := (
0 => ahb_device_reg ( VENDOR_GAISLER, GAISLER_ETHMAC, 0, revision, 0),
others => zero32);
constant ehconfig : ahb_config_type := (
0 => ahb_device_reg ( VENDOR_GAISLER, GAISLER_EDCLMST, 0, REVISION, 0),
others => zero32);
signal irq : std_ulogic;
--rx ahb fifo
signal rxrenable : std_ulogic;
signal rxraddress : std_logic_vector(10 downto 0);
signal rxwrite : std_ulogic;
signal rxwdata : std_logic_vector(31 downto 0);
signal rxwaddress : std_logic_vector(10 downto 0);
signal rxrdata : std_logic_vector(31 downto 0);
--tx ahb fifo
signal txrenable : std_ulogic;
signal txraddress : std_logic_vector(10 downto 0);
signal txwrite : std_ulogic;
signal txwdata : std_logic_vector(31 downto 0);
signal txwaddress : std_logic_vector(10 downto 0);
signal txrdata : std_logic_vector(31 downto 0);
--edcl buf
signal erenable : std_ulogic;
signal eraddress : std_logic_vector(15 downto 0);
signal ewritem : std_ulogic;
signal ewritel : std_ulogic;
signal ewaddressm : std_logic_vector(15 downto 0);
signal ewaddressl : std_logic_vector(15 downto 0);
signal ewdata : std_logic_vector(31 downto 0);
signal erdata : std_logic_vector(31 downto 0);
signal lmdio_oe : std_ulogic;
-- Fix for wider bus
signal hwdata : std_logic_vector(31 downto 0);
signal hrdata : std_logic_vector(31 downto 0);
signal ehwdata : std_logic_vector(31 downto 0);
signal ehrdata : std_logic_vector(31 downto 0);
begin
ethc0: grethc
generic map(
ifg_gap => ifg_gap,
attempt_limit => attempt_limit,
backoff_limit => backoff_limit,
mdcscaler => mdcscaler,
enable_mdio => enable_mdio,
fifosize => fifosize,
nsync => nsync,
edcl => edcl,
edclbufsz => edclbufsz,
macaddrh => macaddrh,
macaddrl => macaddrl,
ipaddrh => ipaddrh,
ipaddrl => ipaddrl,
phyrstadr => phyrstadr,
rmii => rmii,
oepol => oepol,
scanen => scanen,
mdint_pol => mdint_pol,
enable_mdint => enable_mdint,
multicast => multicast,
edclsepahbg => edclsepahb,
ramdebug => ramdebug,
mdiohold => mdiohold,
maxsize => maxsize,
gmiimode => gmiimode
)
port map(
rst => rst,
clk => clk,
--ahb mst in
hgrant => ahbmi.hgrant(hindex),
hready => ahbmi.hready,
hresp => ahbmi.hresp,
hrdata => hrdata,
--ahb mst out
hbusreq => ahbmo.hbusreq,
hlock => ahbmo.hlock,
htrans => ahbmo.htrans,
haddr => ahbmo.haddr,
hwrite => ahbmo.hwrite,
hsize => ahbmo.hsize,
hburst => ahbmo.hburst,
hprot => ahbmo.hprot,
hwdata => hwdata,
--edcl ahb mst in
ehgrant => ahbmi2.hgrant(ehindex),
ehready => ahbmi2.hready,
ehresp => ahbmi2.hresp,
ehrdata => ehrdata,
--edcl ahb mst out
ehbusreq => ahbmo2.hbusreq,
ehlock => ahbmo2.hlock,
ehtrans => ahbmo2.htrans,
ehaddr => ahbmo2.haddr,
ehwrite => ahbmo2.hwrite,
ehsize => ahbmo2.hsize,
ehburst => ahbmo2.hburst,
ehprot => ahbmo2.hprot,
ehwdata => ehwdata,
--apb slv in
psel => apbi.psel(pindex),
penable => apbi.penable,
paddr => apbi.paddr,
pwrite => apbi.pwrite,
pwdata => apbi.pwdata,
--apb slv out
prdata => apbo.prdata,
--irq
irq => irq,
--rx ahb fifo
rxrenable => rxrenable,
rxraddress => rxraddress,
rxwrite => rxwrite,
rxwdata => rxwdata,
rxwaddress => rxwaddress,
rxrdata => rxrdata,
--tx ahb fifo
txrenable => txrenable,
txraddress => txraddress,
txwrite => txwrite,
txwdata => txwdata,
txwaddress => txwaddress,
txrdata => txrdata,
--edcl buf
erenable => erenable,
eraddress => eraddress,
ewritem => ewritem,
ewritel => ewritel,
ewaddressm => ewaddressm,
ewaddressl => ewaddressl,
ewdata => ewdata,
erdata => erdata,
--ethernet input signals
rmii_clk => ethi.rmii_clk,
tx_clk => ethi.tx_clk,
tx_dv => ethi.tx_dv,
rx_clk => ethi.rx_clk,
rxd => ethi.rxd(3 downto 0),
rx_dv => ethi.rx_dv,
rx_er => ethi.rx_er,
rx_col => ethi.rx_col,
rx_crs => ethi.rx_crs,
rx_en => ethi.rx_en,
mdio_i => ethi.mdio_i,
phyrstaddr => ethi.phyrstaddr,
mdint => ethi.mdint,
--ethernet output signals
reset => etho.reset,
txd => etho.txd(3 downto 0),
tx_en => etho.tx_en,
tx_er => etho.tx_er,
mdc => etho.mdc,
mdio_o => etho.mdio_o,
mdio_oe => lmdio_oe,
--scantest
testrst => ahbmi.testrst,
testen => ahbmi.testen,
testoen => ahbmi.testoen,
edcladdr => ethi.edcladdr,
edclsepahb => ethi.edclsepahb,
edcldisable => ethi.edcldisable,
speed => etho.speed);
etho.txd(7 downto 4) <= "0000";
etho.mdio_oe <= ahbmi.testoen when (scanen = 1) and (ahbmi.testen = '1')
else lmdio_oe;
etho.gbit <= '0';
etho.tx_clk <= '0'; -- driven in rgmii component
irqdrv : process(irq)
begin
apbo.pirq <= (others => '0');
apbo.pirq(pirq) <= irq;
end process;
hrdata <= ahbreadword(ahbmi.hrdata);
ahbmo.hwdata <= ahbdrivedata(hwdata);
ahbmo.hconfig <= hconfig;
ahbmo.hindex <= hindex;
ahbmo.hirq <= (others => '0');
ehrdata <= ahbreadword(ahbmi2.hrdata);
ahbmo2.hwdata <= ahbdrivedata(ehwdata);
ahbmo2.hconfig <= ehconfig;
ahbmo2.hindex <= ehindex;
ahbmo2.hirq <= (others => '0');
apbo.pconfig <= pconfig;
apbo.pindex <= pindex;
-------------------------------------------------------------------------------
-- FIFOS ----------------------------------------------------------------------
-------------------------------------------------------------------------------
nft : if ft = 0 generate
tx_fifo0 : syncram_2p generic map(tech => memtech, abits => txfabits,
dbits => 32, sepclk => 0)
port map(clk, txrenable, txraddress(txfabits-1 downto 0), txrdata, clk,
txwrite, txwaddress(txfabits-1 downto 0), txwdata);
rx_fifo0 : syncram_2p generic map(tech => memtech, abits => fabits,
dbits => 32, sepclk => 0)
port map(clk, rxrenable, rxraddress(fabits-1 downto 0), rxrdata, clk,
rxwrite, rxwaddress(fabits-1 downto 0), rxwdata);
end generate;
ft1 : if ft /= 0 generate
tx_fifo0 : syncram_2pft generic map(tech => memtech, abits => txfabits,
dbits => 32, sepclk => 0, ft => ft)
port map(clk, txrenable, txraddress(txfabits-1 downto 0), txrdata, clk,
txwrite, txwaddress(txfabits-1 downto 0), txwdata);
rx_fifo0 : syncram_2pft generic map(tech => memtech, abits => fabits,
dbits => 32, sepclk => 0, ft => ft)
port map(clk, rxrenable, rxraddress(fabits-1 downto 0), rxrdata, clk,
rxwrite, rxwaddress(fabits-1 downto 0), rxwdata);
end generate;
-------------------------------------------------------------------------------
-- EDCL buffer ram ------------------------------------------------------------
-------------------------------------------------------------------------------
edclramnft : if (edcl /= 0) and (edclft = 0) generate
r0 : syncram_2p generic map (memtech, eabits, 16) port map(
clk, erenable, eraddress(eabits-1 downto 0), erdata(31 downto 16), clk,
ewritem, ewaddressm(eabits-1 downto 0), ewdata(31 downto 16));
r1 : syncram_2p generic map (memtech, eabits, 16) port map(
clk, erenable, eraddress(eabits-1 downto 0), erdata(15 downto 0), clk,
ewritel, ewaddressl(eabits-1 downto 0), ewdata(15 downto 0));
end generate;
edclramft1 : if (edcl /= 0) and (edclft /= 0) generate
r0 : syncram_2p generic map (memtech, eabits, 16, 0, 0, ft) port map(
clk, erenable, eraddress(eabits-1 downto 0), erdata(31 downto 16), clk,
ewritem, ewaddressm(eabits-1 downto 0), ewdata(31 downto 16));
r1 : syncram_2p generic map (memtech, eabits, 16, 0, 0, ft) port map(
clk, erenable, eraddress(eabits-1 downto 0), erdata(15 downto 0), clk,
ewritel, ewaddressl(eabits-1 downto 0), ewdata(15 downto 0));
end generate;
-- pragma translate_off
bootmsg : report_version
generic map (
"greth" & tost(hindex) & ": 10/100 Mbit Ethernet MAC rev " & tost(REVISION)
& tost(hindex) & ", EDCL " & tost(edcl) & ", buffer " &
tost(edclbufsz) & " kbyte " & tost(txfifosize) & " txfifo," &
" irq " & tost(pirq)
);
-- pragma translate_on
end architecture;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_arith.all;
entity k_ukf_Vsigactofkofzero is
port (
clock : in std_logic;
I : in std_logic_vector(31 downto 0);
Isc : in std_logic_vector(31 downto 0);
Vactcapofk : in std_logic_vector(31 downto 0);
M : in std_logic_vector(31 downto 0);
D : in std_logic_vector(31 downto 0);
B : in std_logic_vector(31 downto 0);
Vsigactofkofzero : out std_logic_vector(31 downto 0)
);
end k_ukf_Vsigactofkofzero;
architecture struct of k_ukf_Vsigactofkofzero is
component k_ukf_Uofk is
port (
I : in std_logic_vector(31 downto 0);
Isc : in std_logic_vector(31 downto 0);
Vactofk : in std_logic_vector(31 downto 0);
D : in std_logic_vector(31 downto 0);
B : in std_logic_vector(31 downto 0);
clock : in std_logic;
Uofk : out std_logic_vector(31 downto 0)
);
end component;
component k_ukf_Vactcapofk is
port (
clock : in std_logic;
Vactofk : in std_logic_vector(31 downto 0);
M : in std_logic_vector(31 downto 0);
Uofk : in std_logic_vector(31 downto 0);
Vactcapofk : out std_logic_vector(31 downto 0)
);
end component;
signal Z : std_logic_vector(31 downto 0);
begin
M1 : k_ukf_Uofk port map
( clock => clock,
I => I,
Isc => Isc,
Vactofk => Vactcapofk,
D => D,
B => B,
Uofk => Z);
M2 : k_ukf_Vactcapofk port map
( clock => clock,
Vactofk => Vactcapofk,
M => M,
Uofk => Z,
Vactcapofk => Vsigactofkofzero);
end struct; |
entity test is
end test;
library ieee;
use ieee.std_logic_1164.all;
package foo is
TYPE stdlogic_table IS ARRAY(std_ulogic, std_ulogic) OF std_ulogic;
-- truth table for "xor" function
CONSTANT xor_table : stdlogic_table := (
-- ----------------------------------------------------
-- | U X 0 1 Z W L H - | |
-- ----------------------------------------------------
( 'U', 'U', 'U', 'U', 'U', 'U', 'U', 'U', 'U' ), -- | U |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ), -- | X |
( 'U', 'X', '0', '1', 'X', 'X', '0', '1', 'X' ), -- | 0 |
( 'U', 'X', '1', '0', 'X', 'X', '1', '0', 'X' ), -- | 1 |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ), -- | Z |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ), -- | W |
( 'U', 'X', '0', '1', 'X', 'X', '0', '1', 'X' ), -- | L |
( 'U', 'X', '1', '0', 'X', 'X', '1', '0', 'X' ), -- | H |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ) -- | - |
);
end foo;
use work.foo.all;
library ieee;
use ieee.std_logic_1164.all;
architecture only of test is
begin -- only
process
begin -- process
assert xor_table( 'U', 'U' ) = 'U' report "TEST FAILED-UxU";
assert xor_table( 'U', 'X' ) = 'U' report "TEST FAILED-UxX";
assert xor_table( 'X', '-' ) = 'X' report "TEST FAILED-Xx-";
assert xor_table( '0', '1' ) = '1' report "TEST FAILED-0x1";
assert xor_table( 'H', 'Z' ) = 'X' report "TEST FAILED-HxZ";
assert xor_table( 'Z', 'W' ) = 'X' report "TEST FAILED-ZxW";
assert xor_table( 'L', '1' ) = '1' report "TEST FAILED-Lx1";
assert xor_table( 'H', '1' ) = '0' report "TEST FAILED-Hx1";
assert xor_table( '0', 'L' ) = '0' report "TEST FAILED-0xL";
assert xor_table( 'Z', 'L' ) = 'X' report "TEST FAILED-ZxL";
assert xor_table( 'Z', 'H' ) = 'X' report "TEST FAILED-ZxH";
wait;
end process;
end only;
|
entity test is
end test;
library ieee;
use ieee.std_logic_1164.all;
package foo is
TYPE stdlogic_table IS ARRAY(std_ulogic, std_ulogic) OF std_ulogic;
-- truth table for "xor" function
CONSTANT xor_table : stdlogic_table := (
-- ----------------------------------------------------
-- | U X 0 1 Z W L H - | |
-- ----------------------------------------------------
( 'U', 'U', 'U', 'U', 'U', 'U', 'U', 'U', 'U' ), -- | U |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ), -- | X |
( 'U', 'X', '0', '1', 'X', 'X', '0', '1', 'X' ), -- | 0 |
( 'U', 'X', '1', '0', 'X', 'X', '1', '0', 'X' ), -- | 1 |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ), -- | Z |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ), -- | W |
( 'U', 'X', '0', '1', 'X', 'X', '0', '1', 'X' ), -- | L |
( 'U', 'X', '1', '0', 'X', 'X', '1', '0', 'X' ), -- | H |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ) -- | - |
);
end foo;
use work.foo.all;
library ieee;
use ieee.std_logic_1164.all;
architecture only of test is
begin -- only
process
begin -- process
assert xor_table( 'U', 'U' ) = 'U' report "TEST FAILED-UxU";
assert xor_table( 'U', 'X' ) = 'U' report "TEST FAILED-UxX";
assert xor_table( 'X', '-' ) = 'X' report "TEST FAILED-Xx-";
assert xor_table( '0', '1' ) = '1' report "TEST FAILED-0x1";
assert xor_table( 'H', 'Z' ) = 'X' report "TEST FAILED-HxZ";
assert xor_table( 'Z', 'W' ) = 'X' report "TEST FAILED-ZxW";
assert xor_table( 'L', '1' ) = '1' report "TEST FAILED-Lx1";
assert xor_table( 'H', '1' ) = '0' report "TEST FAILED-Hx1";
assert xor_table( '0', 'L' ) = '0' report "TEST FAILED-0xL";
assert xor_table( 'Z', 'L' ) = 'X' report "TEST FAILED-ZxL";
assert xor_table( 'Z', 'H' ) = 'X' report "TEST FAILED-ZxH";
wait;
end process;
end only;
|
entity test is
end test;
library ieee;
use ieee.std_logic_1164.all;
package foo is
TYPE stdlogic_table IS ARRAY(std_ulogic, std_ulogic) OF std_ulogic;
-- truth table for "xor" function
CONSTANT xor_table : stdlogic_table := (
-- ----------------------------------------------------
-- | U X 0 1 Z W L H - | |
-- ----------------------------------------------------
( 'U', 'U', 'U', 'U', 'U', 'U', 'U', 'U', 'U' ), -- | U |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ), -- | X |
( 'U', 'X', '0', '1', 'X', 'X', '0', '1', 'X' ), -- | 0 |
( 'U', 'X', '1', '0', 'X', 'X', '1', '0', 'X' ), -- | 1 |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ), -- | Z |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ), -- | W |
( 'U', 'X', '0', '1', 'X', 'X', '0', '1', 'X' ), -- | L |
( 'U', 'X', '1', '0', 'X', 'X', '1', '0', 'X' ), -- | H |
( 'U', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X' ) -- | - |
);
end foo;
use work.foo.all;
library ieee;
use ieee.std_logic_1164.all;
architecture only of test is
begin -- only
process
begin -- process
assert xor_table( 'U', 'U' ) = 'U' report "TEST FAILED-UxU";
assert xor_table( 'U', 'X' ) = 'U' report "TEST FAILED-UxX";
assert xor_table( 'X', '-' ) = 'X' report "TEST FAILED-Xx-";
assert xor_table( '0', '1' ) = '1' report "TEST FAILED-0x1";
assert xor_table( 'H', 'Z' ) = 'X' report "TEST FAILED-HxZ";
assert xor_table( 'Z', 'W' ) = 'X' report "TEST FAILED-ZxW";
assert xor_table( 'L', '1' ) = '1' report "TEST FAILED-Lx1";
assert xor_table( 'H', '1' ) = '0' report "TEST FAILED-Hx1";
assert xor_table( '0', 'L' ) = '0' report "TEST FAILED-0xL";
assert xor_table( 'Z', 'L' ) = 'X' report "TEST FAILED-ZxL";
assert xor_table( 'Z', 'H' ) = 'X' report "TEST FAILED-ZxH";
wait;
end process;
end only;
|
-- -------------------------------------------------------------
--
-- Entity Declaration for ioblock3_e
--
-- Generated
-- by: wig
-- on: Wed Dec 14 12:20:57 2005
-- cmd: /cygdrive/h/work/eclipse/MIX/mix_0.pl -strip -nodelta ../padio.xls
--
-- !!! Do not edit this file! Autogenerated by MIX !!!
-- $Author: wig $
-- $Id: ioblock3_e-e.vhd,v 1.4 2005/12/14 12:38:05 wig Exp $
-- $Date: 2005/12/14 12:38:05 $
-- $Log: ioblock3_e-e.vhd,v $
-- Revision 1.4 2005/12/14 12:38:05 wig
-- Updated some testcases (verilog, padio)
--
--
-- Based on Mix Entity Template built into RCSfile: MixWriter.pm,v
-- Id: MixWriter.pm,v 1.72 2005/11/30 14:01:21 wig Exp
--
-- Generator: mix_0.pl Version: Revision: 1.43 , wilfried.gaensheimer@micronas.com
-- (C) 2003,2005 Micronas GmbH
--
-- --------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
-- No project specific VHDL libraries/enty
--
--
-- Start of Generated Entity ioblock3_e
--
entity ioblock3_e is
-- Generics:
-- No Generated Generics for Entity ioblock3_e
-- Generated Port Declaration:
port(
-- Generated Port for Entity ioblock3_e
p_mix_d9_di_go : out std_ulogic_vector(1 downto 0);
p_mix_d9_do_gi : in std_ulogic_vector(1 downto 0);
p_mix_d9_en_gi : in std_ulogic_vector(1 downto 0);
p_mix_d9_pu_gi : in std_ulogic_vector(1 downto 0);
p_mix_data_i33_go : out std_ulogic_vector(7 downto 0);
p_mix_data_i34_go : out std_ulogic_vector(7 downto 0);
p_mix_data_o35_gi : in std_ulogic_vector(7 downto 0);
p_mix_data_o36_gi : in std_ulogic_vector(7 downto 0);
p_mix_display_ls_en_gi : in std_ulogic;
p_mix_display_ms_en_gi : in std_ulogic;
p_mix_iosel_0_gi : in std_ulogic;
p_mix_iosel_bus_gi : in std_ulogic_vector(7 downto 0);
p_mix_nand_dir_gi : in std_ulogic;
p_mix_pad_di_31_gi : in std_ulogic;
p_mix_pad_di_32_gi : in std_ulogic;
p_mix_pad_di_33_gi : in std_ulogic;
p_mix_pad_di_34_gi : in std_ulogic;
p_mix_pad_di_39_gi : in std_ulogic;
p_mix_pad_di_40_gi : in std_ulogic;
p_mix_pad_do_31_go : out std_ulogic;
p_mix_pad_do_32_go : out std_ulogic;
p_mix_pad_do_35_go : out std_ulogic;
p_mix_pad_do_36_go : out std_ulogic;
p_mix_pad_do_39_go : out std_ulogic;
p_mix_pad_do_40_go : out std_ulogic;
p_mix_pad_en_31_go : out std_ulogic;
p_mix_pad_en_32_go : out std_ulogic;
p_mix_pad_en_35_go : out std_ulogic;
p_mix_pad_en_36_go : out std_ulogic;
p_mix_pad_en_39_go : out std_ulogic;
p_mix_pad_en_40_go : out std_ulogic;
p_mix_pad_pu_31_go : out std_ulogic;
p_mix_pad_pu_32_go : out std_ulogic
-- End of Generated Port for Entity ioblock3_e
);
end ioblock3_e;
--
-- End of Generated Entity ioblock3_e
--
--
--!End of Entity/ies
-- --------------------------------------------------------------
|
----------------------------------------------------------------------------------------------------
-- ENTITY - Elliptic Curve Point Doubling
--
-- Ports:
-- clk_i - Clock
-- rst_i - Reset flag
-- enable_i - Enable computation
-- x1_i - X part of input point
-- y1_i - Y part of input point
-- x2_io - X part of output point
-- y2_o - Y part of putput point
-- ready_o - Ready flag
--
-- Math:
-- s = x1 + y1/x1
-- x2 = s^2 + s + a
-- y2 = x1^2 + s*x2 + x2
--
-- Autor: Lennart Bublies (inf100434)
-- Date: 27.06.2017
----------------------------------------------------------------------------------------------------
------------------------------------------------------------
-- K163 elliptic curve point doubling
------------------------------------------------------------
LIBRARY IEEE;
USE IEEE.std_logic_1164.all;
USE IEEE.std_logic_arith.all;
USE IEEE.std_logic_unsigned.all;
USE work.tld_ecdsa_package.all;
ENTITY e_gf2m_point_doubling IS
GENERIC (
MODULO : std_logic_vector(M DOWNTO 0) := ONE
);
PORT(
-- Clock, reset, enable
clk_i: IN std_logic;
rst_i: IN std_logic;
enable_i: IN std_logic;
-- Input signals
x1_i: IN std_logic_vector(M-1 DOWNTO 0);
y1_i: IN std_logic_vector(M-1 DOWNTO 0);
-- Output signals
x2_io: INOUT std_logic_vector(M-1 DOWNTO 0);
y2_o: OUT std_logic_vector(M-1 DOWNTO 0);
ready_o: OUT std_logic
);
END e_gf2m_point_doubling;
ARCHITECTURE rtl of e_gf2m_point_doubling IS
-- Import entity e_gf2m_divider
COMPONENT e_gf2m_divider IS
GENERIC (
MODULO : std_logic_vector(M DOWNTO 0)
);
PORT(
clk_i: IN std_logic;
rst_i: IN std_logic;
enable_i: IN std_logic;
g_i: IN std_logic_vector(M-1 DOWNTO 0);
h_i: IN std_logic_vector(M-1 DOWNTO 0);
z_o: OUT std_logic_vector(M-1 DOWNTO 0);
ready_o: OUT std_logic
);
end COMPONENT;
-- Import entity e_gf2m_classic_squarer
COMPONENT e_gf2m_classic_squarer IS
GENERIC (
MODULO : std_logic_vector(M-1 DOWNTO 0)
);
PORT(
a_i: IN std_logic_vector(M-1 DOWNTO 0);
c_o: OUT std_logic_vector(M-1 DOWNTO 0)
);
end COMPONENT;
-- Import entity e_gf2m_interleaved_multiplier
COMPONENT e_gf2m_interleaved_multiplier IS
GENERIC (
MODULO : std_logic_vector(M-1 DOWNTO 0)
);
PORT(
clk_i: IN std_logic;
rst_i: IN std_logic;
enable_i: IN std_logic;
a_i: IN std_logic_vector (M-1 DOWNTO 0);
b_i: IN std_logic_vector (M-1 DOWNTO 0);
z_o: OUT std_logic_vector (M-1 DOWNTO 0);
ready_o: OUT std_logic
);
end COMPONENT;
-- Temporary signals for divider and multiplier
SIGNAL div_xy, mult_lx2, lambda, lambda_square, x1_square: std_logic_vector(M-1 DOWNTO 0);
SIGNAL x2_tmp, y2_tmp, next_xq, next_yq: std_logic_vector(M-1 DOWNTO 0);
-- Signals to switch between multiplier and divider
SIGNAL start_div, div_done, start_mult, mult_done, sel, load, ch_q: std_logic;
-- Define all available states
subtype states IS natural RANGE 0 TO 9;
SIGNAL current_state: states;
BEGIN
-- Output register
register_q: PROCESS(clk_i)
BEGIN
IF clk_i' event and clk_i = '1' THEN
IF load = '1' THEN
x2_io <= (OTHERS=>'1');
y2_o <= (OTHERS=>'1');
ELSIF ch_q = '1' THEN
x2_io <= next_xq;
y2_o <= next_yq;
END IF;
END IF;
END PROCESS;
-- Instantiate divider entity
-- Calculate div_xy = y1 / x1
divider: e_gf2m_divider GENERIC MAP (
MODULO => MODULO
) PORT MAP(
clk_i => clk_i,
rst_i => rst_i,
enable_i => start_div,
g_i => y1_i,
h_i => x1_i,
z_o => div_xy,
ready_o => div_done
);
-- Compute lambda
-- Calculate lambda = x1 + y1/x1
multiplier_inputs: FOR i IN 0 TO M-1 GENERATE
lambda(i) <= x1_i(i) xor div_xy(i);
END GENERATE;
-- Instantiate squarer
-- Calculate lambda^2 and x1^2
lambda_square_computation: e_gf2m_classic_squarer GENERIC MAP (
MODULO => MODULO(M-1 DOWNTO 0)
) PORT MAP(
a_i => lambda,
c_o => lambda_square
);
x1_square_computation: e_gf2m_classic_squarer GENERIC MAP (
MODULO => MODULO(M-1 DOWNTO 0)
) PORT MAP(
a_i => x1_i,
c_o => x1_square
);
-- Compute x2_tmp
-- Calculate x2 = lambda^2 + lambda + a
x2_output: FOR i IN 0 TO M-1 GENERATE
x2_tmp(i) <= lambda_square(i) xor lambda(i) xor A(i);
END GENERATE;
-- Instantiate multiplier entity
-- Calculate mult_lx2 = lambda * x2_tmp
multiplier: e_gf2m_interleaved_multiplier GENERIC MAP (
MODULO => MODULO(M-1 DOWNTO 0)
) PORT MAP(
clk_i => clk_i,
rst_i => rst_i,
enable_i => start_mult,
a_i => lambda,
b_i => x2_tmp,
z_o => mult_lx2,
ready_o => mult_done
);
-- Compute y2_tmp
-- Calculate y2 = x1^2 + lambda*x2 + x2
y2_output: FOR i IN 0 TO M-1 GENERATE
y2_tmp(i) <= x1_square(i) xor mult_lx2(i) xor x2_tmp(i);
END GENERATE;
WITH sel SELECT next_yq <= y2_tmp WHEN '0', ONES WHEN OTHERS;
WITH sel SELECT next_xq <= x2_tmp WHEN '0', ONES WHEN OTHERS;
-- State machine
control_unit: PROCESS(clk_i, rst_i, current_state)
BEGIN
-- Handle current state
-- 0,1 : Default state
-- 2,3 : Calculate s = (py-qy)/(px-qx), s^2
-- 4,5,6 : Calculate rx/ry
CASE current_state IS
WHEN 0 TO 1 => load <= '0'; sel <= '0'; ch_q <= '0'; start_div <= '0'; start_mult <= '0'; ready_o <= '1';
WHEN 2 => load <= '1'; sel <= '0'; ch_q <= '0'; start_div <= '0'; start_mult <= '0'; ready_o <= '0';
WHEN 3 => load <= '0'; sel <= '0'; ch_q <= '0'; start_div <= '0'; start_mult <= '0'; ready_o <= '0';
WHEN 4 => load <= '0'; sel <= '0'; ch_q <= '0'; start_div <= '1'; start_mult <= '0'; ready_o <= '0';
WHEN 5 => load <= '0'; sel <= '0'; ch_q <= '0'; start_div <= '0'; start_mult <= '0'; ready_o <= '0';
WHEN 6 => load <= '0'; sel <= '0'; ch_q <= '0'; start_div <= '0'; start_mult <= '1'; ready_o <= '0';
WHEN 7 => load <= '0'; sel <= '0'; ch_q <= '0'; start_div <= '0'; start_mult <= '0'; ready_o <= '0';
WHEN 8 => load <= '0'; sel <= '0'; ch_q <= '1'; start_div <= '0'; start_mult <= '0'; ready_o <= '0';
WHEN 9 => load <= '0'; sel <= '1'; ch_q <= '1'; start_div <= '0'; start_mult <= '0'; ready_o <= '0';
END CASE;
IF rst_i = '1' THEN
-- Reset state if reset is high
current_state <= 0;
ELSIF clk_i'event and clk_i = '1' THEN
-- Set next state
CASE current_state IS
WHEN 0 =>
IF enable_i = '0' THEN
current_state <= 1;
END IF;
WHEN 1 =>
IF enable_i = '1' THEN
current_state <= 2;
END IF;
WHEN 2 =>
current_state <= 3;
WHEN 3 =>
IF (x1_i = ONES) OR (y1_i = ONES) THEN
current_state <= 9;
ELSE
current_state <= 4;
END IF;
WHEN 4 =>
current_state <= 5;
WHEN 5 =>
IF div_done = '1' THEN
current_state <= 6;
END IF;
WHEN 6 =>
current_state <= 7;
WHEN 7 =>
IF mult_done = '1' THEN
current_state <= 8;
END IF;
WHEN 8 =>
current_state <= 0;
WHEN 9 =>
current_state <= 0;
END CASE;
END IF;
END PROCESS;
END rtl; |
entity add is
generic (
-- A comment on its own line without colons
WIDTH : integer := 3; -- A comment at the end of a line with no colons
-- A comment on its own line with : a colon
HEIGHT : integer := 2 -- A comment at the end of a line with : a colon
);
port (
-- A comment on its own line without colons
clk : in std_logic;
-- A comment on its own line with : a colon
in : in std_logic_vector(WIDTH-1 downto 0); -- A comment at the end of a line with no colons
output : out std_logic_vector(WIDTH-1 downto 0) -- A comment at the end of a line with : a colon
);
end add;
|
----------------------------------------------------------------------------------
-- Engineer: Mike Field <hamster@snap.net.nz<
--
-- Module Name: adau1761_configuraiton_data - Behavioral
-- Description: A script for the I3C2, which sends out I2c transactions to configure
-- the ADAU1761 codec.
--
-- See i3c2program for original source for script
----------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
entity adau1761_configuraiton_data is
Port ( clk : in STD_LOGIC;
address : in STD_LOGIC_VECTOR (9 downto 0);
data : out STD_LOGIC_VECTOR (8 downto 0));
end adau1761_configuraiton_data;
architecture Behavioral of adau1761_configuraiton_data is
begin
process(clk)
begin
if rising_edge(clk) then
case address is
when "0000000000" => data <= "011101111";
when "0000000001" => data <= "101110110";
when "0000000010" => data <= "101000000";
when "0000000011" => data <= "100000000";
when "0000000100" => data <= "100001110";
when "0000000101" => data <= "011111111";
when "0000000110" => data <= "101110110";
when "0000000111" => data <= "101000000";
when "0000001000" => data <= "100000010";
when "0000001001" => data <= "100000000";
when "0000001010" => data <= "101111101";
when "0000001011" => data <= "100000000";
when "0000001100" => data <= "100001100";
when "0000001101" => data <= "100100011";
when "0000001110" => data <= "100000001";
when "0000001111" => data <= "011111111";
when "0000010000" => data <= "011101111";
when "0000010001" => data <= "101110110";
when "0000010010" => data <= "101000000";
when "0000010011" => data <= "100000000";
when "0000010100" => data <= "100001111";
when "0000010101" => data <= "011111111";
when "0000010110" => data <= "011101111";
when "0000010111" => data <= "101110110";
when "0000011000" => data <= "101000000";
when "0000011001" => data <= "100010101";
when "0000011010" => data <= "100000001";
when "0000011011" => data <= "011111111";
when "0000011100" => data <= "101110110";
when "0000011101" => data <= "101000000";
when "0000011110" => data <= "100001010";
when "0000011111" => data <= "100000001";
when "0000100000" => data <= "011111111";
when "0000100001" => data <= "101110110";
when "0000100010" => data <= "101000000";
when "0000100011" => data <= "100001011";
when "0000100100" => data <= "100000101";
when "0000100101" => data <= "011111111";
when "0000100110" => data <= "101110110";
when "0000100111" => data <= "101000000";
when "0000101000" => data <= "100001100";
when "0000101001" => data <= "100000001";
when "0000101010" => data <= "011111111";
when "0000101011" => data <= "101110110";
when "0000101100" => data <= "101000000";
when "0000101101" => data <= "100001101";
when "0000101110" => data <= "100000101";
when "0000101111" => data <= "011111111";
when "0000110000" => data <= "101110110";
when "0000110001" => data <= "101000000";
when "0000110010" => data <= "100011100";
when "0000110011" => data <= "100100001";
when "0000110100" => data <= "011111111";
when "0000110101" => data <= "101110110";
when "0000110110" => data <= "101000000";
when "0000110111" => data <= "100011110";
when "0000111000" => data <= "101000001";
when "0000111001" => data <= "011111111";
when "0000111010" => data <= "101110110";
when "0000111011" => data <= "101000000";
when "0000111100" => data <= "100100011";
when "0000111101" => data <= "111100111";
when "0000111110" => data <= "011111111";
when "0000111111" => data <= "101110110";
when "0001000000" => data <= "101000000";
when "0001000001" => data <= "100100100";
when "0001000010" => data <= "111100111";
when "0001000011" => data <= "011111111";
when "0001000100" => data <= "101110110";
when "0001000101" => data <= "101000000";
when "0001000110" => data <= "100100101";
when "0001000111" => data <= "111100111";
when "0001001000" => data <= "011111111";
when "0001001001" => data <= "101110110";
when "0001001010" => data <= "101000000";
when "0001001011" => data <= "100100110";
when "0001001100" => data <= "111100111";
when "0001001101" => data <= "011111111";
when "0001001110" => data <= "101110110";
when "0001001111" => data <= "101000000";
when "0001010000" => data <= "100011001";
when "0001010001" => data <= "100000011";
when "0001010010" => data <= "011111111";
when "0001010011" => data <= "101110110";
when "0001010100" => data <= "101000000";
when "0001010101" => data <= "100101001";
when "0001010110" => data <= "100000011";
when "0001010111" => data <= "011111111";
when "0001011000" => data <= "101110110";
when "0001011001" => data <= "101000000";
when "0001011010" => data <= "100101010";
when "0001011011" => data <= "100000011";
when "0001011100" => data <= "011111111";
when "0001011101" => data <= "101110110";
when "0001011110" => data <= "101000000";
when "0001011111" => data <= "111110010";
when "0001100000" => data <= "100000001";
when "0001100001" => data <= "011111111";
when "0001100010" => data <= "101110110";
when "0001100011" => data <= "101000000";
when "0001100100" => data <= "111110011";
when "0001100101" => data <= "100000001";
when "0001100110" => data <= "011111111";
when "0001100111" => data <= "101110110";
when "0001101000" => data <= "101000000";
when "0001101001" => data <= "111111001";
when "0001101010" => data <= "101111111";
when "0001101011" => data <= "011111111";
when "0001101100" => data <= "101110110";
when "0001101101" => data <= "101000000";
when "0001101110" => data <= "111111010";
when "0001101111" => data <= "100000011";
when "0001110000" => data <= "011111111";
when "0001110001" => data <= "000010011";
when "0001110010" => data <= "011111110";
when "0001110011" => data <= "011111110";
when "0001110100" => data <= "011111110";
when "0001110101" => data <= "011111110";
when "0001110110" => data <= "011111110";
when "0001110111" => data <= "011111110";
when "0001111000" => data <= "101110110";
when "0001111001" => data <= "101000000";
when "0001111010" => data <= "100011100";
when "0001111011" => data <= "100100000";
when "0001111100" => data <= "011111111";
when "0001111101" => data <= "101110110";
when "0001111110" => data <= "101000000";
when "0001111111" => data <= "100011110";
when "0010000000" => data <= "101000000";
when "0010000001" => data <= "011111111";
when "0010000010" => data <= "011101111";
when "0010000011" => data <= "011101111";
when "0010000100" => data <= "011101111";
when "0010000101" => data <= "011101111";
when "0010000110" => data <= "010100000";
when "0010000111" => data <= "010100001";
when "0010001000" => data <= "011101111";
when "0010001001" => data <= "011101111";
when "0010001010" => data <= "101110110";
when "0010001011" => data <= "101000000";
when "0010001100" => data <= "100011100";
when "0010001101" => data <= "100100001";
when "0010001110" => data <= "011111111";
when "0010001111" => data <= "101110110";
when "0010010000" => data <= "101000000";
when "0010010001" => data <= "100011110";
when "0010010010" => data <= "101000001";
when "0010010011" => data <= "011111111";
when "0010010100" => data <= "011111110";
when "0010010101" => data <= "011111110";
when "0010010110" => data <= "011111110";
when "0010010111" => data <= "011111110";
when "0010011000" => data <= "010000000";
when "0010011001" => data <= "000010100";
when "0010011010" => data <= "010000001";
when "0010011011" => data <= "000011001";
when "0010011100" => data <= "000010011";
when "0010011101" => data <= "011111110";
when "0010011110" => data <= "011111110";
when "0010011111" => data <= "011111110";
when "0010100000" => data <= "101110110";
when "0010100001" => data <= "101000000";
when "0010100010" => data <= "100011100";
when "0010100011" => data <= "100100000";
when "0010100100" => data <= "011111111";
when "0010100101" => data <= "101110110";
when "0010100110" => data <= "101000000";
when "0010100111" => data <= "100011110";
when "0010101000" => data <= "101000000";
when "0010101001" => data <= "011111111";
when "0010101010" => data <= "011101111";
when "0010101011" => data <= "011101111";
when "0010101100" => data <= "011101111";
when "0010101101" => data <= "011101111";
when "0010101110" => data <= "010110000";
when "0010101111" => data <= "010100001";
when "0010110000" => data <= "011101111";
when "0010110001" => data <= "011101111";
when "0010110010" => data <= "101110110";
when "0010110011" => data <= "101000000";
when "0010110100" => data <= "100011100";
when "0010110101" => data <= "100100001";
when "0010110110" => data <= "011111111";
when "0010110111" => data <= "101110110";
when "0010111000" => data <= "101000000";
when "0010111001" => data <= "100011110";
when "0010111010" => data <= "101000001";
when "0010111011" => data <= "011111111";
when "0010111100" => data <= "011111110";
when "0010111101" => data <= "011111110";
when "0010111110" => data <= "011111110";
when "0010111111" => data <= "011111110";
when "0011000000" => data <= "010010000";
when "0011000001" => data <= "000001111";
when "0011000010" => data <= "010000001";
when "0011000011" => data <= "000011110";
when "0011000100" => data <= "000011000";
when "0011000101" => data <= "011111110";
when "0011000110" => data <= "011111110";
when "0011000111" => data <= "011111110";
when "0011001000" => data <= "101110110";
when "0011001001" => data <= "101000000";
when "0011001010" => data <= "100011100";
when "0011001011" => data <= "100100000";
when "0011001100" => data <= "011111111";
when "0011001101" => data <= "101110110";
when "0011001110" => data <= "101000000";
when "0011001111" => data <= "100011110";
when "0011010000" => data <= "101000000";
when "0011010001" => data <= "011111111";
when "0011010010" => data <= "011101111";
when "0011010011" => data <= "011101111";
when "0011010100" => data <= "011101111";
when "0011010101" => data <= "011101111";
when "0011010110" => data <= "010100000";
when "0011010111" => data <= "010110001";
when "0011011000" => data <= "011101111";
when "0011011001" => data <= "011101111";
when "0011011010" => data <= "101110110";
when "0011011011" => data <= "101000000";
when "0011011100" => data <= "100011100";
when "0011011101" => data <= "100100001";
when "0011011110" => data <= "011111111";
when "0011011111" => data <= "101110110";
when "0011100000" => data <= "101000000";
when "0011100001" => data <= "100011110";
when "0011100010" => data <= "101000001";
when "0011100011" => data <= "011111111";
when "0011100100" => data <= "011111110";
when "0011100101" => data <= "011111110";
when "0011100110" => data <= "011111110";
when "0011100111" => data <= "011111110";
when "0011101000" => data <= "010000000";
when "0011101001" => data <= "000000000";
when "0011101010" => data <= "010010001";
when "0011101011" => data <= "000001111";
when "0011101100" => data <= "000011101";
when "0011101101" => data <= "011111110";
when "0011101110" => data <= "011111110";
when "0011101111" => data <= "011111110";
when "0011110000" => data <= "101110110";
when "0011110001" => data <= "101000000";
when "0011110010" => data <= "100011100";
when "0011110011" => data <= "100100000";
when "0011110100" => data <= "011111111";
when "0011110101" => data <= "101110110";
when "0011110110" => data <= "101000000";
when "0011110111" => data <= "100011110";
when "0011111000" => data <= "101000000";
when "0011111001" => data <= "011111111";
when "0011111010" => data <= "011101111";
when "0011111011" => data <= "011101111";
when "0011111100" => data <= "011101111";
when "0011111101" => data <= "011101111";
when "0011111110" => data <= "010110000";
when "0011111111" => data <= "010110001";
when "0100000000" => data <= "011101111";
when "0100000001" => data <= "011101111";
when "0100000010" => data <= "101110110";
when "0100000011" => data <= "101000000";
when "0100000100" => data <= "100011100";
when "0100000101" => data <= "100100001";
when "0100000110" => data <= "011111111";
when "0100000111" => data <= "101110110";
when "0100001000" => data <= "101000000";
when "0100001001" => data <= "100011110";
when "0100001010" => data <= "101000001";
when "0100001011" => data <= "011111111";
when "0100001100" => data <= "011111110";
when "0100001101" => data <= "011111110";
when "0100001110" => data <= "011111110";
when "0100001111" => data <= "011111110";
when "0100010000" => data <= "010010000";
when "0100010001" => data <= "000011001";
when "0100010010" => data <= "010010001";
when "0100010011" => data <= "000010100";
when "0100010100" => data <= "000100010";
when others => data <= (others =>'0');
end case;
end if;
end process;
end Behavioral;
|
----------------------------------------------------------------------------------
-- Engineer: Mike Field <hamster@snap.net.nz<
--
-- Module Name: adau1761_configuraiton_data - Behavioral
-- Description: A script for the I3C2, which sends out I2c transactions to configure
-- the ADAU1761 codec.
--
-- See i3c2program for original source for script
----------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
entity adau1761_configuraiton_data is
Port ( clk : in STD_LOGIC;
address : in STD_LOGIC_VECTOR (9 downto 0);
data : out STD_LOGIC_VECTOR (8 downto 0));
end adau1761_configuraiton_data;
architecture Behavioral of adau1761_configuraiton_data is
begin
process(clk)
begin
if rising_edge(clk) then
case address is
when "0000000000" => data <= "011101111";
when "0000000001" => data <= "101110110";
when "0000000010" => data <= "101000000";
when "0000000011" => data <= "100000000";
when "0000000100" => data <= "100001110";
when "0000000101" => data <= "011111111";
when "0000000110" => data <= "101110110";
when "0000000111" => data <= "101000000";
when "0000001000" => data <= "100000010";
when "0000001001" => data <= "100000000";
when "0000001010" => data <= "101111101";
when "0000001011" => data <= "100000000";
when "0000001100" => data <= "100001100";
when "0000001101" => data <= "100100011";
when "0000001110" => data <= "100000001";
when "0000001111" => data <= "011111111";
when "0000010000" => data <= "011101111";
when "0000010001" => data <= "101110110";
when "0000010010" => data <= "101000000";
when "0000010011" => data <= "100000000";
when "0000010100" => data <= "100001111";
when "0000010101" => data <= "011111111";
when "0000010110" => data <= "011101111";
when "0000010111" => data <= "101110110";
when "0000011000" => data <= "101000000";
when "0000011001" => data <= "100010101";
when "0000011010" => data <= "100000001";
when "0000011011" => data <= "011111111";
when "0000011100" => data <= "101110110";
when "0000011101" => data <= "101000000";
when "0000011110" => data <= "100001010";
when "0000011111" => data <= "100000001";
when "0000100000" => data <= "011111111";
when "0000100001" => data <= "101110110";
when "0000100010" => data <= "101000000";
when "0000100011" => data <= "100001011";
when "0000100100" => data <= "100000101";
when "0000100101" => data <= "011111111";
when "0000100110" => data <= "101110110";
when "0000100111" => data <= "101000000";
when "0000101000" => data <= "100001100";
when "0000101001" => data <= "100000001";
when "0000101010" => data <= "011111111";
when "0000101011" => data <= "101110110";
when "0000101100" => data <= "101000000";
when "0000101101" => data <= "100001101";
when "0000101110" => data <= "100000101";
when "0000101111" => data <= "011111111";
when "0000110000" => data <= "101110110";
when "0000110001" => data <= "101000000";
when "0000110010" => data <= "100011100";
when "0000110011" => data <= "100100001";
when "0000110100" => data <= "011111111";
when "0000110101" => data <= "101110110";
when "0000110110" => data <= "101000000";
when "0000110111" => data <= "100011110";
when "0000111000" => data <= "101000001";
when "0000111001" => data <= "011111111";
when "0000111010" => data <= "101110110";
when "0000111011" => data <= "101000000";
when "0000111100" => data <= "100100011";
when "0000111101" => data <= "111100111";
when "0000111110" => data <= "011111111";
when "0000111111" => data <= "101110110";
when "0001000000" => data <= "101000000";
when "0001000001" => data <= "100100100";
when "0001000010" => data <= "111100111";
when "0001000011" => data <= "011111111";
when "0001000100" => data <= "101110110";
when "0001000101" => data <= "101000000";
when "0001000110" => data <= "100100101";
when "0001000111" => data <= "111100111";
when "0001001000" => data <= "011111111";
when "0001001001" => data <= "101110110";
when "0001001010" => data <= "101000000";
when "0001001011" => data <= "100100110";
when "0001001100" => data <= "111100111";
when "0001001101" => data <= "011111111";
when "0001001110" => data <= "101110110";
when "0001001111" => data <= "101000000";
when "0001010000" => data <= "100011001";
when "0001010001" => data <= "100000011";
when "0001010010" => data <= "011111111";
when "0001010011" => data <= "101110110";
when "0001010100" => data <= "101000000";
when "0001010101" => data <= "100101001";
when "0001010110" => data <= "100000011";
when "0001010111" => data <= "011111111";
when "0001011000" => data <= "101110110";
when "0001011001" => data <= "101000000";
when "0001011010" => data <= "100101010";
when "0001011011" => data <= "100000011";
when "0001011100" => data <= "011111111";
when "0001011101" => data <= "101110110";
when "0001011110" => data <= "101000000";
when "0001011111" => data <= "111110010";
when "0001100000" => data <= "100000001";
when "0001100001" => data <= "011111111";
when "0001100010" => data <= "101110110";
when "0001100011" => data <= "101000000";
when "0001100100" => data <= "111110011";
when "0001100101" => data <= "100000001";
when "0001100110" => data <= "011111111";
when "0001100111" => data <= "101110110";
when "0001101000" => data <= "101000000";
when "0001101001" => data <= "111111001";
when "0001101010" => data <= "101111111";
when "0001101011" => data <= "011111111";
when "0001101100" => data <= "101110110";
when "0001101101" => data <= "101000000";
when "0001101110" => data <= "111111010";
when "0001101111" => data <= "100000011";
when "0001110000" => data <= "011111111";
when "0001110001" => data <= "000010011";
when "0001110010" => data <= "011111110";
when "0001110011" => data <= "011111110";
when "0001110100" => data <= "011111110";
when "0001110101" => data <= "011111110";
when "0001110110" => data <= "011111110";
when "0001110111" => data <= "011111110";
when "0001111000" => data <= "101110110";
when "0001111001" => data <= "101000000";
when "0001111010" => data <= "100011100";
when "0001111011" => data <= "100100000";
when "0001111100" => data <= "011111111";
when "0001111101" => data <= "101110110";
when "0001111110" => data <= "101000000";
when "0001111111" => data <= "100011110";
when "0010000000" => data <= "101000000";
when "0010000001" => data <= "011111111";
when "0010000010" => data <= "011101111";
when "0010000011" => data <= "011101111";
when "0010000100" => data <= "011101111";
when "0010000101" => data <= "011101111";
when "0010000110" => data <= "010100000";
when "0010000111" => data <= "010100001";
when "0010001000" => data <= "011101111";
when "0010001001" => data <= "011101111";
when "0010001010" => data <= "101110110";
when "0010001011" => data <= "101000000";
when "0010001100" => data <= "100011100";
when "0010001101" => data <= "100100001";
when "0010001110" => data <= "011111111";
when "0010001111" => data <= "101110110";
when "0010010000" => data <= "101000000";
when "0010010001" => data <= "100011110";
when "0010010010" => data <= "101000001";
when "0010010011" => data <= "011111111";
when "0010010100" => data <= "011111110";
when "0010010101" => data <= "011111110";
when "0010010110" => data <= "011111110";
when "0010010111" => data <= "011111110";
when "0010011000" => data <= "010000000";
when "0010011001" => data <= "000010100";
when "0010011010" => data <= "010000001";
when "0010011011" => data <= "000011001";
when "0010011100" => data <= "000010011";
when "0010011101" => data <= "011111110";
when "0010011110" => data <= "011111110";
when "0010011111" => data <= "011111110";
when "0010100000" => data <= "101110110";
when "0010100001" => data <= "101000000";
when "0010100010" => data <= "100011100";
when "0010100011" => data <= "100100000";
when "0010100100" => data <= "011111111";
when "0010100101" => data <= "101110110";
when "0010100110" => data <= "101000000";
when "0010100111" => data <= "100011110";
when "0010101000" => data <= "101000000";
when "0010101001" => data <= "011111111";
when "0010101010" => data <= "011101111";
when "0010101011" => data <= "011101111";
when "0010101100" => data <= "011101111";
when "0010101101" => data <= "011101111";
when "0010101110" => data <= "010110000";
when "0010101111" => data <= "010100001";
when "0010110000" => data <= "011101111";
when "0010110001" => data <= "011101111";
when "0010110010" => data <= "101110110";
when "0010110011" => data <= "101000000";
when "0010110100" => data <= "100011100";
when "0010110101" => data <= "100100001";
when "0010110110" => data <= "011111111";
when "0010110111" => data <= "101110110";
when "0010111000" => data <= "101000000";
when "0010111001" => data <= "100011110";
when "0010111010" => data <= "101000001";
when "0010111011" => data <= "011111111";
when "0010111100" => data <= "011111110";
when "0010111101" => data <= "011111110";
when "0010111110" => data <= "011111110";
when "0010111111" => data <= "011111110";
when "0011000000" => data <= "010010000";
when "0011000001" => data <= "000001111";
when "0011000010" => data <= "010000001";
when "0011000011" => data <= "000011110";
when "0011000100" => data <= "000011000";
when "0011000101" => data <= "011111110";
when "0011000110" => data <= "011111110";
when "0011000111" => data <= "011111110";
when "0011001000" => data <= "101110110";
when "0011001001" => data <= "101000000";
when "0011001010" => data <= "100011100";
when "0011001011" => data <= "100100000";
when "0011001100" => data <= "011111111";
when "0011001101" => data <= "101110110";
when "0011001110" => data <= "101000000";
when "0011001111" => data <= "100011110";
when "0011010000" => data <= "101000000";
when "0011010001" => data <= "011111111";
when "0011010010" => data <= "011101111";
when "0011010011" => data <= "011101111";
when "0011010100" => data <= "011101111";
when "0011010101" => data <= "011101111";
when "0011010110" => data <= "010100000";
when "0011010111" => data <= "010110001";
when "0011011000" => data <= "011101111";
when "0011011001" => data <= "011101111";
when "0011011010" => data <= "101110110";
when "0011011011" => data <= "101000000";
when "0011011100" => data <= "100011100";
when "0011011101" => data <= "100100001";
when "0011011110" => data <= "011111111";
when "0011011111" => data <= "101110110";
when "0011100000" => data <= "101000000";
when "0011100001" => data <= "100011110";
when "0011100010" => data <= "101000001";
when "0011100011" => data <= "011111111";
when "0011100100" => data <= "011111110";
when "0011100101" => data <= "011111110";
when "0011100110" => data <= "011111110";
when "0011100111" => data <= "011111110";
when "0011101000" => data <= "010000000";
when "0011101001" => data <= "000000000";
when "0011101010" => data <= "010010001";
when "0011101011" => data <= "000001111";
when "0011101100" => data <= "000011101";
when "0011101101" => data <= "011111110";
when "0011101110" => data <= "011111110";
when "0011101111" => data <= "011111110";
when "0011110000" => data <= "101110110";
when "0011110001" => data <= "101000000";
when "0011110010" => data <= "100011100";
when "0011110011" => data <= "100100000";
when "0011110100" => data <= "011111111";
when "0011110101" => data <= "101110110";
when "0011110110" => data <= "101000000";
when "0011110111" => data <= "100011110";
when "0011111000" => data <= "101000000";
when "0011111001" => data <= "011111111";
when "0011111010" => data <= "011101111";
when "0011111011" => data <= "011101111";
when "0011111100" => data <= "011101111";
when "0011111101" => data <= "011101111";
when "0011111110" => data <= "010110000";
when "0011111111" => data <= "010110001";
when "0100000000" => data <= "011101111";
when "0100000001" => data <= "011101111";
when "0100000010" => data <= "101110110";
when "0100000011" => data <= "101000000";
when "0100000100" => data <= "100011100";
when "0100000101" => data <= "100100001";
when "0100000110" => data <= "011111111";
when "0100000111" => data <= "101110110";
when "0100001000" => data <= "101000000";
when "0100001001" => data <= "100011110";
when "0100001010" => data <= "101000001";
when "0100001011" => data <= "011111111";
when "0100001100" => data <= "011111110";
when "0100001101" => data <= "011111110";
when "0100001110" => data <= "011111110";
when "0100001111" => data <= "011111110";
when "0100010000" => data <= "010010000";
when "0100010001" => data <= "000011001";
when "0100010010" => data <= "010010001";
when "0100010011" => data <= "000010100";
when "0100010100" => data <= "000100010";
when others => data <= (others =>'0');
end case;
end if;
end process;
end Behavioral;
|
----------------------------------------------------------------------------------
-- Engineer: Mike Field <hamster@snap.net.nz<
--
-- Module Name: adau1761_configuraiton_data - Behavioral
-- Description: A script for the I3C2, which sends out I2c transactions to configure
-- the ADAU1761 codec.
--
-- See i3c2program for original source for script
----------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
entity adau1761_configuraiton_data is
Port ( clk : in STD_LOGIC;
address : in STD_LOGIC_VECTOR (9 downto 0);
data : out STD_LOGIC_VECTOR (8 downto 0));
end adau1761_configuraiton_data;
architecture Behavioral of adau1761_configuraiton_data is
begin
process(clk)
begin
if rising_edge(clk) then
case address is
when "0000000000" => data <= "011101111";
when "0000000001" => data <= "101110110";
when "0000000010" => data <= "101000000";
when "0000000011" => data <= "100000000";
when "0000000100" => data <= "100001110";
when "0000000101" => data <= "011111111";
when "0000000110" => data <= "101110110";
when "0000000111" => data <= "101000000";
when "0000001000" => data <= "100000010";
when "0000001001" => data <= "100000000";
when "0000001010" => data <= "101111101";
when "0000001011" => data <= "100000000";
when "0000001100" => data <= "100001100";
when "0000001101" => data <= "100100011";
when "0000001110" => data <= "100000001";
when "0000001111" => data <= "011111111";
when "0000010000" => data <= "011101111";
when "0000010001" => data <= "101110110";
when "0000010010" => data <= "101000000";
when "0000010011" => data <= "100000000";
when "0000010100" => data <= "100001111";
when "0000010101" => data <= "011111111";
when "0000010110" => data <= "011101111";
when "0000010111" => data <= "101110110";
when "0000011000" => data <= "101000000";
when "0000011001" => data <= "100010101";
when "0000011010" => data <= "100000001";
when "0000011011" => data <= "011111111";
when "0000011100" => data <= "101110110";
when "0000011101" => data <= "101000000";
when "0000011110" => data <= "100001010";
when "0000011111" => data <= "100000001";
when "0000100000" => data <= "011111111";
when "0000100001" => data <= "101110110";
when "0000100010" => data <= "101000000";
when "0000100011" => data <= "100001011";
when "0000100100" => data <= "100000101";
when "0000100101" => data <= "011111111";
when "0000100110" => data <= "101110110";
when "0000100111" => data <= "101000000";
when "0000101000" => data <= "100001100";
when "0000101001" => data <= "100000001";
when "0000101010" => data <= "011111111";
when "0000101011" => data <= "101110110";
when "0000101100" => data <= "101000000";
when "0000101101" => data <= "100001101";
when "0000101110" => data <= "100000101";
when "0000101111" => data <= "011111111";
when "0000110000" => data <= "101110110";
when "0000110001" => data <= "101000000";
when "0000110010" => data <= "100011100";
when "0000110011" => data <= "100100001";
when "0000110100" => data <= "011111111";
when "0000110101" => data <= "101110110";
when "0000110110" => data <= "101000000";
when "0000110111" => data <= "100011110";
when "0000111000" => data <= "101000001";
when "0000111001" => data <= "011111111";
when "0000111010" => data <= "101110110";
when "0000111011" => data <= "101000000";
when "0000111100" => data <= "100100011";
when "0000111101" => data <= "111100111";
when "0000111110" => data <= "011111111";
when "0000111111" => data <= "101110110";
when "0001000000" => data <= "101000000";
when "0001000001" => data <= "100100100";
when "0001000010" => data <= "111100111";
when "0001000011" => data <= "011111111";
when "0001000100" => data <= "101110110";
when "0001000101" => data <= "101000000";
when "0001000110" => data <= "100100101";
when "0001000111" => data <= "111100111";
when "0001001000" => data <= "011111111";
when "0001001001" => data <= "101110110";
when "0001001010" => data <= "101000000";
when "0001001011" => data <= "100100110";
when "0001001100" => data <= "111100111";
when "0001001101" => data <= "011111111";
when "0001001110" => data <= "101110110";
when "0001001111" => data <= "101000000";
when "0001010000" => data <= "100011001";
when "0001010001" => data <= "100000011";
when "0001010010" => data <= "011111111";
when "0001010011" => data <= "101110110";
when "0001010100" => data <= "101000000";
when "0001010101" => data <= "100101001";
when "0001010110" => data <= "100000011";
when "0001010111" => data <= "011111111";
when "0001011000" => data <= "101110110";
when "0001011001" => data <= "101000000";
when "0001011010" => data <= "100101010";
when "0001011011" => data <= "100000011";
when "0001011100" => data <= "011111111";
when "0001011101" => data <= "101110110";
when "0001011110" => data <= "101000000";
when "0001011111" => data <= "111110010";
when "0001100000" => data <= "100000001";
when "0001100001" => data <= "011111111";
when "0001100010" => data <= "101110110";
when "0001100011" => data <= "101000000";
when "0001100100" => data <= "111110011";
when "0001100101" => data <= "100000001";
when "0001100110" => data <= "011111111";
when "0001100111" => data <= "101110110";
when "0001101000" => data <= "101000000";
when "0001101001" => data <= "111111001";
when "0001101010" => data <= "101111111";
when "0001101011" => data <= "011111111";
when "0001101100" => data <= "101110110";
when "0001101101" => data <= "101000000";
when "0001101110" => data <= "111111010";
when "0001101111" => data <= "100000011";
when "0001110000" => data <= "011111111";
when "0001110001" => data <= "000010011";
when "0001110010" => data <= "011111110";
when "0001110011" => data <= "011111110";
when "0001110100" => data <= "011111110";
when "0001110101" => data <= "011111110";
when "0001110110" => data <= "011111110";
when "0001110111" => data <= "011111110";
when "0001111000" => data <= "101110110";
when "0001111001" => data <= "101000000";
when "0001111010" => data <= "100011100";
when "0001111011" => data <= "100100000";
when "0001111100" => data <= "011111111";
when "0001111101" => data <= "101110110";
when "0001111110" => data <= "101000000";
when "0001111111" => data <= "100011110";
when "0010000000" => data <= "101000000";
when "0010000001" => data <= "011111111";
when "0010000010" => data <= "011101111";
when "0010000011" => data <= "011101111";
when "0010000100" => data <= "011101111";
when "0010000101" => data <= "011101111";
when "0010000110" => data <= "010100000";
when "0010000111" => data <= "010100001";
when "0010001000" => data <= "011101111";
when "0010001001" => data <= "011101111";
when "0010001010" => data <= "101110110";
when "0010001011" => data <= "101000000";
when "0010001100" => data <= "100011100";
when "0010001101" => data <= "100100001";
when "0010001110" => data <= "011111111";
when "0010001111" => data <= "101110110";
when "0010010000" => data <= "101000000";
when "0010010001" => data <= "100011110";
when "0010010010" => data <= "101000001";
when "0010010011" => data <= "011111111";
when "0010010100" => data <= "011111110";
when "0010010101" => data <= "011111110";
when "0010010110" => data <= "011111110";
when "0010010111" => data <= "011111110";
when "0010011000" => data <= "010000000";
when "0010011001" => data <= "000010100";
when "0010011010" => data <= "010000001";
when "0010011011" => data <= "000011001";
when "0010011100" => data <= "000010011";
when "0010011101" => data <= "011111110";
when "0010011110" => data <= "011111110";
when "0010011111" => data <= "011111110";
when "0010100000" => data <= "101110110";
when "0010100001" => data <= "101000000";
when "0010100010" => data <= "100011100";
when "0010100011" => data <= "100100000";
when "0010100100" => data <= "011111111";
when "0010100101" => data <= "101110110";
when "0010100110" => data <= "101000000";
when "0010100111" => data <= "100011110";
when "0010101000" => data <= "101000000";
when "0010101001" => data <= "011111111";
when "0010101010" => data <= "011101111";
when "0010101011" => data <= "011101111";
when "0010101100" => data <= "011101111";
when "0010101101" => data <= "011101111";
when "0010101110" => data <= "010110000";
when "0010101111" => data <= "010100001";
when "0010110000" => data <= "011101111";
when "0010110001" => data <= "011101111";
when "0010110010" => data <= "101110110";
when "0010110011" => data <= "101000000";
when "0010110100" => data <= "100011100";
when "0010110101" => data <= "100100001";
when "0010110110" => data <= "011111111";
when "0010110111" => data <= "101110110";
when "0010111000" => data <= "101000000";
when "0010111001" => data <= "100011110";
when "0010111010" => data <= "101000001";
when "0010111011" => data <= "011111111";
when "0010111100" => data <= "011111110";
when "0010111101" => data <= "011111110";
when "0010111110" => data <= "011111110";
when "0010111111" => data <= "011111110";
when "0011000000" => data <= "010010000";
when "0011000001" => data <= "000001111";
when "0011000010" => data <= "010000001";
when "0011000011" => data <= "000011110";
when "0011000100" => data <= "000011000";
when "0011000101" => data <= "011111110";
when "0011000110" => data <= "011111110";
when "0011000111" => data <= "011111110";
when "0011001000" => data <= "101110110";
when "0011001001" => data <= "101000000";
when "0011001010" => data <= "100011100";
when "0011001011" => data <= "100100000";
when "0011001100" => data <= "011111111";
when "0011001101" => data <= "101110110";
when "0011001110" => data <= "101000000";
when "0011001111" => data <= "100011110";
when "0011010000" => data <= "101000000";
when "0011010001" => data <= "011111111";
when "0011010010" => data <= "011101111";
when "0011010011" => data <= "011101111";
when "0011010100" => data <= "011101111";
when "0011010101" => data <= "011101111";
when "0011010110" => data <= "010100000";
when "0011010111" => data <= "010110001";
when "0011011000" => data <= "011101111";
when "0011011001" => data <= "011101111";
when "0011011010" => data <= "101110110";
when "0011011011" => data <= "101000000";
when "0011011100" => data <= "100011100";
when "0011011101" => data <= "100100001";
when "0011011110" => data <= "011111111";
when "0011011111" => data <= "101110110";
when "0011100000" => data <= "101000000";
when "0011100001" => data <= "100011110";
when "0011100010" => data <= "101000001";
when "0011100011" => data <= "011111111";
when "0011100100" => data <= "011111110";
when "0011100101" => data <= "011111110";
when "0011100110" => data <= "011111110";
when "0011100111" => data <= "011111110";
when "0011101000" => data <= "010000000";
when "0011101001" => data <= "000000000";
when "0011101010" => data <= "010010001";
when "0011101011" => data <= "000001111";
when "0011101100" => data <= "000011101";
when "0011101101" => data <= "011111110";
when "0011101110" => data <= "011111110";
when "0011101111" => data <= "011111110";
when "0011110000" => data <= "101110110";
when "0011110001" => data <= "101000000";
when "0011110010" => data <= "100011100";
when "0011110011" => data <= "100100000";
when "0011110100" => data <= "011111111";
when "0011110101" => data <= "101110110";
when "0011110110" => data <= "101000000";
when "0011110111" => data <= "100011110";
when "0011111000" => data <= "101000000";
when "0011111001" => data <= "011111111";
when "0011111010" => data <= "011101111";
when "0011111011" => data <= "011101111";
when "0011111100" => data <= "011101111";
when "0011111101" => data <= "011101111";
when "0011111110" => data <= "010110000";
when "0011111111" => data <= "010110001";
when "0100000000" => data <= "011101111";
when "0100000001" => data <= "011101111";
when "0100000010" => data <= "101110110";
when "0100000011" => data <= "101000000";
when "0100000100" => data <= "100011100";
when "0100000101" => data <= "100100001";
when "0100000110" => data <= "011111111";
when "0100000111" => data <= "101110110";
when "0100001000" => data <= "101000000";
when "0100001001" => data <= "100011110";
when "0100001010" => data <= "101000001";
when "0100001011" => data <= "011111111";
when "0100001100" => data <= "011111110";
when "0100001101" => data <= "011111110";
when "0100001110" => data <= "011111110";
when "0100001111" => data <= "011111110";
when "0100010000" => data <= "010010000";
when "0100010001" => data <= "000011001";
when "0100010010" => data <= "010010001";
when "0100010011" => data <= "000010100";
when "0100010100" => data <= "000100010";
when others => data <= (others =>'0');
end case;
end if;
end process;
end Behavioral;
|
entity tb_conv01 is
end tb_conv01;
library ieee;
use ieee.std_logic_1164.all;
architecture behav of tb_conv01 is
signal i : std_logic_vector(19 downto 0);
signal o : std_logic_vector(31 downto 0);
begin
dut: entity work.conv01
port map (i => i, o => o);
process
begin
i <= x"abcde";
wait for 1 ns;
assert o = x"000_abcde" severity failure;
wait;
end process;
end behav;
|
-------------------------------------------------------------------------------
--
-- The Timer/Counter unit.
--
-- $Id: timer-c.vhd,v 1.2 2005-06-11 10:08:43 arniml Exp $
--
-- All rights reserved
--
-------------------------------------------------------------------------------
configuration t48_timer_rtl_c0 of t48_timer is
for rtl
end for;
end t48_timer_rtl_c0;
|
library verilog;
use verilog.vl_types.all;
entity altera_merlin_slave_translator is
generic(
AV_ADDRESS_W : integer := 32;
AV_DATA_W : integer := 32;
AV_BURSTCOUNT_W : integer := 4;
AV_BYTEENABLE_W : integer := 4;
UAV_BYTEENABLE_W: integer := 4;
AV_READLATENCY : integer := 1;
AV_READ_WAIT_CYCLES: integer := 0;
AV_WRITE_WAIT_CYCLES: integer := 0;
AV_SETUP_WAIT_CYCLES: integer := 0;
AV_DATA_HOLD_CYCLES: integer := 0;
USE_READDATAVALID: integer := 1;
USE_WAITREQUEST : integer := 1;
USE_READRESPONSE: integer := 0;
USE_WRITERESPONSE: integer := 0;
AV_SYMBOLS_PER_WORD: integer := 4;
AV_ADDRESS_SYMBOLS: integer := 0;
AV_BURSTCOUNT_SYMBOLS: integer := 0;
BITS_PER_WORD : vl_notype;
UAV_ADDRESS_W : integer := 38;
UAV_BURSTCOUNT_W: integer := 10;
UAV_DATA_W : integer := 32;
AV_CONSTANT_BURST_BEHAVIOR: integer := 0;
UAV_CONSTANT_BURST_BEHAVIOR: integer := 0;
CHIPSELECT_THROUGH_READLATENCY: integer := 0;
USE_UAV_CLKEN : integer := 0;
AV_REQUIRE_UNALIGNED_ADDRESSES: integer := 0
);
port(
clk : in vl_logic;
reset : in vl_logic;
uav_address : in vl_logic_vector;
uav_writedata : in vl_logic_vector;
uav_write : in vl_logic;
uav_read : in vl_logic;
uav_burstcount : in vl_logic_vector;
uav_byteenable : in vl_logic_vector;
uav_lock : in vl_logic;
uav_debugaccess : in vl_logic;
uav_clken : in vl_logic;
uav_readdatavalid: out vl_logic;
uav_waitrequest : out vl_logic;
uav_readdata : out vl_logic_vector;
uav_response : out vl_logic_vector(1 downto 0);
uav_writeresponserequest: in vl_logic;
uav_writeresponsevalid: out vl_logic;
av_address : out vl_logic_vector;
av_writedata : out vl_logic_vector;
av_write : out vl_logic;
av_read : out vl_logic;
av_burstcount : out vl_logic_vector;
av_byteenable : out vl_logic_vector;
av_writebyteenable: out vl_logic_vector;
av_begintransfer: out vl_logic;
av_chipselect : out vl_logic;
av_beginbursttransfer: out vl_logic;
av_lock : out vl_logic;
av_clken : out vl_logic;
av_debugaccess : out vl_logic;
av_outputenable : out vl_logic;
av_readdata : in vl_logic_vector;
av_readdatavalid: in vl_logic;
av_waitrequest : in vl_logic;
av_response : in vl_logic_vector(1 downto 0);
av_writeresponserequest: out vl_logic;
av_writeresponsevalid: in vl_logic
);
attribute mti_svvh_generic_type : integer;
attribute mti_svvh_generic_type of AV_ADDRESS_W : constant is 1;
attribute mti_svvh_generic_type of AV_DATA_W : constant is 1;
attribute mti_svvh_generic_type of AV_BURSTCOUNT_W : constant is 1;
attribute mti_svvh_generic_type of AV_BYTEENABLE_W : constant is 1;
attribute mti_svvh_generic_type of UAV_BYTEENABLE_W : constant is 1;
attribute mti_svvh_generic_type of AV_READLATENCY : constant is 1;
attribute mti_svvh_generic_type of AV_READ_WAIT_CYCLES : constant is 1;
attribute mti_svvh_generic_type of AV_WRITE_WAIT_CYCLES : constant is 1;
attribute mti_svvh_generic_type of AV_SETUP_WAIT_CYCLES : constant is 1;
attribute mti_svvh_generic_type of AV_DATA_HOLD_CYCLES : constant is 1;
attribute mti_svvh_generic_type of USE_READDATAVALID : constant is 1;
attribute mti_svvh_generic_type of USE_WAITREQUEST : constant is 1;
attribute mti_svvh_generic_type of USE_READRESPONSE : constant is 1;
attribute mti_svvh_generic_type of USE_WRITERESPONSE : constant is 1;
attribute mti_svvh_generic_type of AV_SYMBOLS_PER_WORD : constant is 1;
attribute mti_svvh_generic_type of AV_ADDRESS_SYMBOLS : constant is 1;
attribute mti_svvh_generic_type of AV_BURSTCOUNT_SYMBOLS : constant is 1;
attribute mti_svvh_generic_type of BITS_PER_WORD : constant is 3;
attribute mti_svvh_generic_type of UAV_ADDRESS_W : constant is 1;
attribute mti_svvh_generic_type of UAV_BURSTCOUNT_W : constant is 1;
attribute mti_svvh_generic_type of UAV_DATA_W : constant is 1;
attribute mti_svvh_generic_type of AV_CONSTANT_BURST_BEHAVIOR : constant is 1;
attribute mti_svvh_generic_type of UAV_CONSTANT_BURST_BEHAVIOR : constant is 1;
attribute mti_svvh_generic_type of CHIPSELECT_THROUGH_READLATENCY : constant is 1;
attribute mti_svvh_generic_type of USE_UAV_CLKEN : constant is 1;
attribute mti_svvh_generic_type of AV_REQUIRE_UNALIGNED_ADDRESSES : constant is 1;
end altera_merlin_slave_translator;
|
-- -*- vhdl -*-
-------------------------------------------------------------------------------
-- Copyright (c) 2012, The CARPE Project, All rights reserved. --
-- See the AUTHORS file for individual contributors. --
-- --
-- Copyright and related rights are licensed under the Solderpad --
-- Hardware License, Version 0.51 (the "License"); you may not use this --
-- file except in compliance with the License. You may obtain a copy of --
-- the License at http://solderpad.org/licenses/SHL-0.51. --
-- --
-- Unless required by applicable law or agreed to in writing, software, --
-- hardware and materials distributed under this License is distributed --
-- on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, --
-- either express or implied. See the License for the specific language --
-- governing permissions and limitations under the License. --
-------------------------------------------------------------------------------
-- Cache Replacement Algorithm
library ieee;
use ieee.std_logic_1164.all;
use work.cpu_l1mem_inst_cache_pkg.all;
use work.cpu_l1mem_inst_cache_replace_pkg.all;
entity cpu_l1mem_inst_cache_replace is
port (
clk : in std_ulogic;
rstn : in std_ulogic;
cpu_l1mem_inst_cache_replace_ctrl_in : in cpu_l1mem_inst_cache_replace_ctrl_in_type;
cpu_l1mem_inst_cache_replace_ctrl_out : out cpu_l1mem_inst_cache_replace_ctrl_out_type;
cpu_l1mem_inst_cache_replace_dp_in : in cpu_l1mem_inst_cache_replace_dp_in_type;
cpu_l1mem_inst_cache_replace_dp_out : out cpu_l1mem_inst_cache_replace_dp_out_type
);
end;
|
library ieee;
use ieee.numeric_std.all;
use ieee.std_logic_1164.all;
entity s1488_rnd is
port(
clock: in std_logic;
input: in std_logic_vector(7 downto 0);
output: out std_logic_vector(18 downto 0)
);
end s1488_rnd;
architecture behaviour of s1488_rnd is
constant s000000: std_logic_vector(5 downto 0) := "111101";
constant s001110: std_logic_vector(5 downto 0) := "000010";
constant s011000: std_logic_vector(5 downto 0) := "011011";
constant s010000: std_logic_vector(5 downto 0) := "111110";
constant s010100: std_logic_vector(5 downto 0) := "111111";
constant s110011: std_logic_vector(5 downto 0) := "010001";
constant s010011: std_logic_vector(5 downto 0) := "010110";
constant s000100: std_logic_vector(5 downto 0) := "001011";
constant s100011: std_logic_vector(5 downto 0) := "001111";
constant s010110: std_logic_vector(5 downto 0) := "011110";
constant s010111: std_logic_vector(5 downto 0) := "101011";
constant s000111: std_logic_vector(5 downto 0) := "100001";
constant s101011: std_logic_vector(5 downto 0) := "110000";
constant s001111: std_logic_vector(5 downto 0) := "101111";
constant s111100: std_logic_vector(5 downto 0) := "011010";
constant s101100: std_logic_vector(5 downto 0) := "111000";
constant s001100: std_logic_vector(5 downto 0) := "110110";
constant s010001: std_logic_vector(5 downto 0) := "001000";
constant s011011: std_logic_vector(5 downto 0) := "000001";
constant s110110: std_logic_vector(5 downto 0) := "100100";
constant s011111: std_logic_vector(5 downto 0) := "001001";
constant s101110: std_logic_vector(5 downto 0) := "101001";
constant s010101: std_logic_vector(5 downto 0) := "100110";
constant s111110: std_logic_vector(5 downto 0) := "111011";
constant s000011: std_logic_vector(5 downto 0) := "011100";
constant s111010: std_logic_vector(5 downto 0) := "100011";
constant s011010: std_logic_vector(5 downto 0) := "100010";
constant s111011: std_logic_vector(5 downto 0) := "011000";
constant s100000: std_logic_vector(5 downto 0) := "000011";
constant s101000: std_logic_vector(5 downto 0) := "110111";
constant s110000: std_logic_vector(5 downto 0) := "010011";
constant s011110: std_logic_vector(5 downto 0) := "110010";
constant s010010: std_logic_vector(5 downto 0) := "000111";
constant s001010: std_logic_vector(5 downto 0) := "001100";
constant s000010: std_logic_vector(5 downto 0) := "110101";
constant s111000: std_logic_vector(5 downto 0) := "010100";
constant s100100: std_logic_vector(5 downto 0) := "000000";
constant s001000: std_logic_vector(5 downto 0) := "100111";
constant s001011: std_logic_vector(5 downto 0) := "011101";
constant s110100: std_logic_vector(5 downto 0) := "101101";
constant s100110: std_logic_vector(5 downto 0) := "100101";
constant s011101: std_logic_vector(5 downto 0) := "100000";
constant s000110: std_logic_vector(5 downto 0) := "111100";
constant s110010: std_logic_vector(5 downto 0) := "000100";
constant s011100: std_logic_vector(5 downto 0) := "110011";
constant s101010: std_logic_vector(5 downto 0) := "010111";
constant s100010: std_logic_vector(5 downto 0) := "111010";
constant s100111: std_logic_vector(5 downto 0) := "111001";
signal current_state, next_state: std_logic_vector(5 downto 0);
begin
process(clock) begin
if rising_edge(clock) then current_state <= next_state;
end if;
end process;
process(input, current_state) begin
next_state <= "------"; output <= "-------------------";
case current_state is
when s000000 =>
if std_match(input, "0-11----") then next_state <= s000000; output <= "0100011010010010111";
elsif std_match(input, "0-01----") then next_state <= s000000; output <= "0000000011000100000";
elsif std_match(input, "1-11----") then next_state <= s001110; output <= "0100011010010010111";
elsif std_match(input, "1-01----") then next_state <= s000000; output <= "0000000011000100000";
elsif std_match(input, "--00----") then next_state <= s000000; output <= "0000000010000110000";
elsif std_match(input, "--10----") then next_state <= s000000; output <= "0000000000000000000";
end if;
when s001110 =>
if std_match(input, "00------") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "01--1---") then next_state <= s000000; output <= "0010100010001110000";
elsif std_match(input, "01--0---") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "1---0---") then next_state <= s011000; output <= "0000001010001010000";
elsif std_match(input, "10--1---") then next_state <= s011000; output <= "0000001010001010000";
elsif std_match(input, "11--1---") then next_state <= s010000; output <= "0010100010001110000";
end if;
when s011000 =>
if std_match(input, "0-10-010") then next_state <= s000000; output <= "0000010000000000000";
elsif std_match(input, "0-10-000") then next_state <= s000000; output <= "0000010000000000001";
elsif std_match(input, "0-10-100") then next_state <= s000000; output <= "0000010000000000101";
elsif std_match(input, "0-10-110") then next_state <= s000000; output <= "0000010000000000100";
elsif std_match(input, "0-11-1-0") then next_state <= s000000; output <= "0000011000011011101";
elsif std_match(input, "0-11-0-0") then next_state <= s000000; output <= "0000011000011011001";
elsif std_match(input, "0-00-100") then next_state <= s000000; output <= "0000000000001111101";
elsif std_match(input, "0-00-110") then next_state <= s000000; output <= "0000000000001111100";
elsif std_match(input, "0-00-000") then next_state <= s000000; output <= "0000000000001111001";
elsif std_match(input, "0-00-010") then next_state <= s000000; output <= "0000000000001111000";
elsif std_match(input, "0-01-100") then next_state <= s000000; output <= "0000010001001101101";
elsif std_match(input, "0-01-110") then next_state <= s000000; output <= "0000010001001101100";
elsif std_match(input, "0-01-010") then next_state <= s000000; output <= "0000010001001101000";
elsif std_match(input, "0-01-000") then next_state <= s000000; output <= "0000010001001101001";
elsif std_match(input, "0-----01") then next_state <= s000000; output <= "0000001100111010011";
elsif std_match(input, "0-----11") then next_state <= s000000; output <= "0000001100111010010";
elsif std_match(input, "1-----11") then next_state <= s010100; output <= "0000001100111010010";
elsif std_match(input, "1-----01") then next_state <= s010100; output <= "0000001100111010011";
elsif std_match(input, "1-01-100") then next_state <= s010100; output <= "0000010001001101101";
elsif std_match(input, "1-01-110") then next_state <= s010100; output <= "0000010001001101100";
elsif std_match(input, "1-01-000") then next_state <= s010100; output <= "0000010001001101001";
elsif std_match(input, "1-01-010") then next_state <= s010100; output <= "0000010001001101000";
elsif std_match(input, "1-11-1-0") then next_state <= s110011; output <= "0000011000011011101";
elsif std_match(input, "1-11-0-0") then next_state <= s110011; output <= "0000011000011011001";
elsif std_match(input, "1-00-100") then next_state <= s010100; output <= "0000000000001111101";
elsif std_match(input, "1-00-110") then next_state <= s010100; output <= "0000000000001111100";
elsif std_match(input, "1-00-000") then next_state <= s010100; output <= "0000000000001111001";
elsif std_match(input, "1-00-010") then next_state <= s010100; output <= "0000000000001111000";
elsif std_match(input, "1-10-000") then next_state <= s010100; output <= "0000010000000000001";
elsif std_match(input, "1-10-010") then next_state <= s010100; output <= "0000010000000000000";
elsif std_match(input, "1-10-110") then next_state <= s010100; output <= "0000010000000000100";
elsif std_match(input, "1-10-100") then next_state <= s010100; output <= "0000010000000000101";
end if;
when s010100 =>
if std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "1-------") then next_state <= s010011; output <= "0000001010001010000";
end if;
when s010011 =>
if std_match(input, "1----0--") then next_state <= s000100; output <= "0000001010000110011";
elsif std_match(input, "1----1--") then next_state <= s000100; output <= "0000001010000110111";
elsif std_match(input, "0----0--") then next_state <= s000000; output <= "0000001010000110011";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0000001010000110111";
end if;
when s000100 =>
if std_match(input, "11---01-") then next_state <= s100011; output <= "0000001010001010000";
elsif std_match(input, "01---01-") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "11--111-") then next_state <= s010110; output <= "0000001010001010000";
elsif std_match(input, "11--011-") then next_state <= s010111; output <= "0000001010001010000";
elsif std_match(input, "01---11-") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "10----1-") then next_state <= s010111; output <= "0000001010001010000";
elsif std_match(input, "00----1-") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "0-----0-") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "1-----0-") then next_state <= s010111; output <= "0000001010001010000";
end if;
when s100011 =>
if std_match(input, "0-------") then next_state <= s000000; output <= "0000001000011011001";
elsif std_match(input, "1-------") then next_state <= s110011; output <= "0000001000011011001";
end if;
when s110011 =>
if std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "1-------") then next_state <= s000111; output <= "0000001010001010000";
end if;
when s000111 =>
if std_match(input, "0----0--") then next_state <= s000000; output <= "0000001000011011010";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0000001000011011110";
elsif std_match(input, "1----1--") then next_state <= s101011; output <= "0000001000011011110";
elsif std_match(input, "1----0--") then next_state <= s101011; output <= "0000001000011011010";
end if;
when s101011 =>
if std_match(input, "1-------") then next_state <= s001111; output <= "0000001010001010000";
elsif std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
end if;
when s001111 =>
if std_match(input, "1----0--") then next_state <= s000100; output <= "0001000000101011011";
elsif std_match(input, "1----1--") then next_state <= s000100; output <= "0001000000101011111";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0001000000101011111";
elsif std_match(input, "0----0--") then next_state <= s000000; output <= "0001000000101011011";
end if;
when s010110 =>
if std_match(input, "1----1--") then next_state <= s111100; output <= "0100001010010010111";
elsif std_match(input, "1-11-0--") then next_state <= s110011; output <= "0000011000011011001";
elsif std_match(input, "1-01-0--") then next_state <= s101100; output <= "0000010001001101000";
elsif std_match(input, "1-00-0--") then next_state <= s101100; output <= "0000000000001111000";
elsif std_match(input, "1-10-0--") then next_state <= s101100; output <= "0000010000000000000";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0100001010010010111";
elsif std_match(input, "0-10-0--") then next_state <= s000000; output <= "0000010000000000000";
elsif std_match(input, "0-11-0--") then next_state <= s000000; output <= "0000011000011011001";
elsif std_match(input, "0-00-0--") then next_state <= s000000; output <= "0000000000001111000";
elsif std_match(input, "0-01-0--") then next_state <= s000000; output <= "0000010001001101000";
end if;
when s111100 =>
if std_match(input, "0-------") then next_state <= s000000; output <= "0000001110001010000";
elsif std_match(input, "1-------") then next_state <= s100011; output <= "0000001110001010000";
end if;
when s101100 =>
if std_match(input, "1-------") then next_state <= s010110; output <= "0000001010001010000";
elsif std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
end if;
when s010111 =>
if std_match(input, "1----0--") then next_state <= s001100; output <= "0000000000110010010";
elsif std_match(input, "1----1--") then next_state <= s001100; output <= "0000000000110010110";
elsif std_match(input, "0----0--") then next_state <= s000000; output <= "0000000000110010010";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0000000000110010110";
end if;
when s001100 =>
if std_match(input, "1----0--") then next_state <= s010001; output <= "0000001010001010000";
elsif std_match(input, "1----1--") then next_state <= s011011; output <= "0000001010001010000";
elsif std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
end if;
when s010001 =>
if std_match(input, "0----0--") then next_state <= s000000; output <= "0000001000011110011";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0000001000011110111";
elsif std_match(input, "1----1--") then next_state <= s110110; output <= "0000001000011110111";
elsif std_match(input, "1----0--") then next_state <= s110110; output <= "0000001000011110011";
end if;
when s110110 =>
if std_match(input, "1-------") then next_state <= s011111; output <= "0000001010001010000";
elsif std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
end if;
when s011111 =>
if std_match(input, "0----11-") then next_state <= s000000; output <= "0000000000110111111";
elsif std_match(input, "0----10-") then next_state <= s000000; output <= "0000000000110111110";
elsif std_match(input, "0----00-") then next_state <= s000000; output <= "0000000000110111010";
elsif std_match(input, "0----01-") then next_state <= s000000; output <= "0000000000110111011";
elsif std_match(input, "1----00-") then next_state <= s101110; output <= "0000000000110111010";
elsif std_match(input, "1----01-") then next_state <= s101110; output <= "0000000000110111011";
elsif std_match(input, "1----10-") then next_state <= s101110; output <= "0000000000110111110";
elsif std_match(input, "1----11-") then next_state <= s101110; output <= "0000000000110111111";
end if;
when s101110 =>
if std_match(input, "1-------") then next_state <= s010101; output <= "0000001010001010000";
elsif std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
end if;
when s010101 =>
if std_match(input, "1----1--") then next_state <= s111110; output <= "0000001000001111101";
elsif std_match(input, "1----0--") then next_state <= s111110; output <= "0000001000001111001";
elsif std_match(input, "0----0--") then next_state <= s000000; output <= "0000001000001111001";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0000001000001111101";
end if;
when s111110 =>
if std_match(input, "00--1-0-") then next_state <= s000000; output <= "1000001010001010000";
elsif std_match(input, "01--1-0-") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "0---0-0-") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "0---0-1-") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "0---1-1-") then next_state <= s000000; output <= "1000001010001010000";
elsif std_match(input, "10--0---") then next_state <= s000011; output <= "0000001010001010000";
elsif std_match(input, "10--1--1") then next_state <= s111010; output <= "1000001010001010000";
elsif std_match(input, "10--1--0") then next_state <= s011010; output <= "1000001010001010000";
elsif std_match(input, "11--1-11") then next_state <= s111010; output <= "1000001010001010000";
elsif std_match(input, "11--0-11") then next_state <= s000011; output <= "0000001010001010000";
elsif std_match(input, "11--1-10") then next_state <= s011010; output <= "1000001010001010000";
elsif std_match(input, "11--0-10") then next_state <= s000011; output <= "0000001010001010000";
elsif std_match(input, "11--1-00") then next_state <= s111011; output <= "0000001010001010000";
elsif std_match(input, "11--1-01") then next_state <= s000011; output <= "0000001010001010000";
elsif std_match(input, "11--0-0-") then next_state <= s000011; output <= "0000001010001010000";
end if;
when s000011 =>
if std_match(input, "1----0-1") then next_state <= s001110; output <= "0000001010010010011";
elsif std_match(input, "1----0-0") then next_state <= s001110; output <= "0000001010010110011";
elsif std_match(input, "1----1--") then next_state <= s001110; output <= "0000001010010010111";
elsif std_match(input, "0----0-1") then next_state <= s000000; output <= "0000001010010010011";
elsif std_match(input, "0----1-1") then next_state <= s000000; output <= "0000001010010010111";
elsif std_match(input, "0----0-0") then next_state <= s000000; output <= "0000001010010110011";
elsif std_match(input, "0----1-0") then next_state <= s000000; output <= "0000001010010010111";
end if;
when s111010 =>
if std_match(input, "1-------") then next_state <= s100000; output <= "0000001010010010011";
elsif std_match(input, "0-------") then next_state <= s000000; output <= "0000001010010010011";
end if;
when s100000 =>
if std_match(input, "00--1---") then next_state <= s000000; output <= "0000101010001010000";
elsif std_match(input, "01--1---") then next_state <= s000000; output <= "0000001110001010000";
elsif std_match(input, "11--1---") then next_state <= s101000; output <= "0000001110001010000";
elsif std_match(input, "10--1---") then next_state <= s110000; output <= "0000101010001010000";
elsif std_match(input, "11--0---") then next_state <= s101000; output <= "0000001110001010000";
elsif std_match(input, "01--0---") then next_state <= s000000; output <= "0000001110001010000";
elsif std_match(input, "00--0---") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "10--0---") then next_state <= s011110; output <= "0000001010001010000";
end if;
when s101000 =>
if std_match(input, "0-------") then next_state <= s000000; output <= "0000001010000110011";
elsif std_match(input, "1-------") then next_state <= s010010; output <= "0000001010000110011";
end if;
when s010010 =>
if std_match(input, "1---0---") then next_state <= s011110; output <= "0000001010001010000";
elsif std_match(input, "0---0---") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "0---1---") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "1---1---") then next_state <= s001010; output <= "0000001010001010000";
end if;
when s011110 =>
if std_match(input, "0-00-00-") then next_state <= s000000; output <= "0000000000001111000";
elsif std_match(input, "0-00-01-") then next_state <= s000000; output <= "0000000000001111001";
elsif std_match(input, "0-10-01-") then next_state <= s000000; output <= "0000010000000000001";
elsif std_match(input, "0-10-00-") then next_state <= s000000; output <= "0000010000000000000";
elsif std_match(input, "0--0-1--") then next_state <= s000000; output <= "0000001010010010111";
elsif std_match(input, "0--1-1--") then next_state <= s000000; output <= "0000001010010010111";
elsif std_match(input, "0-11-0--") then next_state <= s000000; output <= "0000011000011011001";
elsif std_match(input, "0-01-00-") then next_state <= s000000; output <= "0000010001001101000";
elsif std_match(input, "0-01-01-") then next_state <= s000000; output <= "0000010001001101001";
elsif std_match(input, "1-0--1--") then next_state <= s100000; output <= "0000001010010010111";
elsif std_match(input, "1-00-00-") then next_state <= s000010; output <= "0000000000001111000";
elsif std_match(input, "1-00-01-") then next_state <= s000010; output <= "0000000000001111001";
elsif std_match(input, "1-01-01-") then next_state <= s000010; output <= "0000010001001101001";
elsif std_match(input, "1-01-00-") then next_state <= s000010; output <= "0000010001001101000";
elsif std_match(input, "1-10-1--") then next_state <= s100000; output <= "0000001010010010111";
elsif std_match(input, "1-10-01-") then next_state <= s000010; output <= "0000010000000000001";
elsif std_match(input, "1-10-00-") then next_state <= s000010; output <= "0000010000000000000";
elsif std_match(input, "1-11-1--") then next_state <= s100000; output <= "0000001010010010111";
elsif std_match(input, "1-11-0--") then next_state <= s110011; output <= "0000011000011011001";
end if;
when s000010 =>
if std_match(input, "1----0--") then next_state <= s011110; output <= "0001001010001010000";
elsif std_match(input, "1----1--") then next_state <= s011110; output <= "0000001010001010000";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "0----0--") then next_state <= s000000; output <= "0001001010001010000";
end if;
when s001010 =>
if std_match(input, "0----0--") then next_state <= s000000; output <= "0000001010100010001";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0000001000011011101";
elsif std_match(input, "1----0--") then next_state <= s111000; output <= "0000001010100010001";
elsif std_match(input, "1----1--") then next_state <= s100100; output <= "0000001000011011101";
end if;
when s111000 =>
if std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "1---01--") then next_state <= s001010; output <= "0000001010001010000";
elsif std_match(input, "1---00--") then next_state <= s001000; output <= "0000001010001010000";
elsif std_match(input, "1---1---") then next_state <= s001000; output <= "0000001010001010000";
end if;
when s001000 =>
if std_match(input, "1----0--") then next_state <= s100100; output <= "0000001000011011001";
elsif std_match(input, "1----1--") then next_state <= s100100; output <= "0000001000011011101";
elsif std_match(input, "0----0--") then next_state <= s000000; output <= "0000001000011011001";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0000001000011011101";
end if;
when s100100 =>
if std_match(input, "1-------") then next_state <= s001011; output <= "0001001010001010000";
elsif std_match(input, "0-------") then next_state <= s000000; output <= "0001001010001010000";
end if;
when s001011 =>
if std_match(input, "1----0--") then next_state <= s110100; output <= "0000001000011011010";
elsif std_match(input, "1----1--") then next_state <= s110100; output <= "0000001000011011110";
elsif std_match(input, "0----0--") then next_state <= s000000; output <= "0000001000011011010";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0000001000011011110";
end if;
when s110100 =>
if std_match(input, "0-------") then next_state <= s000000; output <= "0001001010001010000";
elsif std_match(input, "1-------") then next_state <= s011011; output <= "0001001010001010000";
end if;
when s011011 =>
if std_match(input, "0----10-") then next_state <= s000000; output <= "0000001000011010111";
elsif std_match(input, "0----11-") then next_state <= s000000; output <= "0000001000011010110";
elsif std_match(input, "0----01-") then next_state <= s000000; output <= "0000001000011010010";
elsif std_match(input, "0----00-") then next_state <= s000000; output <= "0000001000011010011";
elsif std_match(input, "1----01-") then next_state <= s100110; output <= "0000001000011010010";
elsif std_match(input, "1----00-") then next_state <= s100110; output <= "0000001000011010011";
elsif std_match(input, "1----11-") then next_state <= s100110; output <= "0000001000011010110";
elsif std_match(input, "1----10-") then next_state <= s100110; output <= "0000001000011010111";
end if;
when s100110 =>
if std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "1-------") then next_state <= s011101; output <= "0000001010001010000";
end if;
when s011101 =>
if std_match(input, "0----00-") then next_state <= s000000; output <= "0000000000110011000";
elsif std_match(input, "0----01-") then next_state <= s000000; output <= "0000000000110011001";
elsif std_match(input, "0----11-") then next_state <= s000000; output <= "0000000000110011101";
elsif std_match(input, "0----10-") then next_state <= s000000; output <= "0000000000110011100";
elsif std_match(input, "1----11-") then next_state <= s101110; output <= "0000000000110011101";
elsif std_match(input, "1----10-") then next_state <= s101110; output <= "0000000000110011100";
elsif std_match(input, "1----00-") then next_state <= s101110; output <= "0000000000110011000";
elsif std_match(input, "1----01-") then next_state <= s101110; output <= "0000000000110011001";
end if;
when s110000 =>
if std_match(input, "0-------") then next_state <= s000000; output <= "0000001000001111001";
elsif std_match(input, "1-------") then next_state <= s000110; output <= "0000001000001111001";
end if;
when s000110 =>
if std_match(input, "0----0--") then next_state <= s000000; output <= "0001001010001010000";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0100001010001010000";
elsif std_match(input, "1---01--") then next_state <= s011000; output <= "0100001010001010000";
elsif std_match(input, "1---00--") then next_state <= s011000; output <= "0001001010001010000";
elsif std_match(input, "1---11--") then next_state <= s011110; output <= "0100001010001010000";
elsif std_match(input, "1---10--") then next_state <= s011110; output <= "0001001010001010000";
end if;
when s011010 =>
if std_match(input, "1----1--") then next_state <= s100000; output <= "0000001010010010111";
elsif std_match(input, "1----00-") then next_state <= s110010; output <= "0000001010100010001";
elsif std_match(input, "1----01-") then next_state <= s110010; output <= "0000001010100010000";
elsif std_match(input, "0----00-") then next_state <= s000000; output <= "0000001010100010001";
elsif std_match(input, "0----01-") then next_state <= s000000; output <= "0000001010100010000";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0000001010010010111";
end if;
when s110010 =>
if std_match(input, "1----00-") then next_state <= s011100; output <= "0000001010001010000";
elsif std_match(input, "1----01-") then next_state <= s011010; output <= "0000001010001010000";
elsif std_match(input, "1----10-") then next_state <= s011010; output <= "0000001010001010000";
elsif std_match(input, "1----11-") then next_state <= s011100; output <= "0000001010001010000";
elsif std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
end if;
when s011100 =>
if std_match(input, "0----11-") then next_state <= s000000; output <= "0000001000111010111";
elsif std_match(input, "0----10-") then next_state <= s000000; output <= "0000001000111010110";
elsif std_match(input, "0----01-") then next_state <= s000000; output <= "0000001000111010011";
elsif std_match(input, "0----00-") then next_state <= s000000; output <= "0000001000111010010";
elsif std_match(input, "1----10-") then next_state <= s101010; output <= "0000001000111010110";
elsif std_match(input, "1----11-") then next_state <= s101010; output <= "0000001000111010111";
elsif std_match(input, "1----01-") then next_state <= s100010; output <= "0000001000111010011";
elsif std_match(input, "1----00-") then next_state <= s100010; output <= "0000001000111010010";
end if;
when s101010 =>
if std_match(input, "1-------") then next_state <= s111010; output <= "0000001010001010000";
elsif std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
end if;
when s100010 =>
if std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
elsif std_match(input, "1-------") then next_state <= s011010; output <= "0000001010001010000";
end if;
when s111011 =>
if std_match(input, "1----0--") then next_state <= s100111; output <= "0000001010010110011";
elsif std_match(input, "0----0--") then next_state <= s000000; output <= "0000001010010110011";
elsif std_match(input, "0----1--") then next_state <= s000000; output <= "0010101010010010111";
elsif std_match(input, "1----1--") then next_state <= s010000; output <= "0010101010010010111";
end if;
when s100111 =>
if std_match(input, "1-------") then next_state <= s111011; output <= "0000001010001010000";
elsif std_match(input, "0-------") then next_state <= s000000; output <= "0000001010001010000";
end if;
when s010000 =>
if std_match(input, "--------") then next_state <= s000000; output <= "0000001000011010010";
end if;
when others => next_state <= "------"; output <= "-------------------";
end case;
end process;
end behaviour;
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
gI0Gib0Xo40tvaTEMw79aiJH1u4YEk6HVdqkbeCop9/2waoagY20R0hBuYHx56Xi3cH8QWvex6XO
QV3vawSgqw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
KoS1rv1CFUKYNXTl71AfETT1Kc5fYzKPPR0kXLN6Rix83Z8+HkHQ7xAG+RQ1+wYFYntMPFYXg+xl
jYaYcsZdTVoy/pFQfFzFzIHMvEDyhGlxcCwJE1Sl1y2uiMCYwOlqGqbs4oqeC3o5WmQMaISJXEot
laofg7eBOKIh5zVQBfA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
nvHBfVLXEIDiVREK1ZtlLrZ7D2o8+j0PfBQlUywpqi0LlzVpakFF1+4oQpQsRCjkU6FiWgvIYEIQ
xF3opsh3cA0gI37cHXNoyxKcLQxiBb2Dt5ILBIpVL/2lp5QxYdpueQnedGu56neNU/SdUK/337V9
TOPZhdfOWs0n9NO+6sHptKi0VUrQEbTdLyOPdpIvhpsiYtlGNt4H6j4UrXNCHEXrsRFrNNaL63L6
8A9bRCIq+R/MVFKYc7XGOwzyv2NvWJLzj8pWBtUQtsewQGRMkz+zKhrZYx9Pi6JkM3pg7prL1N2K
nVfeZOjki/Toly6hp2nAp6bI1GZLcIhnkXFrqw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
vERJPdx2yaiBZPvdkozSOrF5HOgqt7Ky7CQ6WmgQMDyJGvZ/HgSlR6X4yONOLwnio7VEgT81lblo
CsCnrdCzOuuwCgG2laf1xjkkb3zU4ZQnsAe32Rt5/hL2J5hXn3Xe1UN0lqFw7JHTWR84WXQLd5x3
SJohMIaugOcLRm0nptQ=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OLi0CblrDwZ0QzOLfc6fg5Rfw9iQF5lR1whM955YYKGPYYzsS7ozaU9fzcer/htJu88wCSAm9nY8
GwuyBXZYHAoEswCVjiHm/hXAJa4NSpRD2Y0IH43uSTW82VYmzpSX3Xz/hdynoXPQj7/wHKIGviHF
4Qv/YOhuU5xhwLsOvbflDS0t7ko6BuR9Y1fE2WdiWwm5DsArRvyqQP1GnbUDsot5a5O0Vfi2wkaR
oCNwOAbu/aYmq8E8iSeITBM+rpWhbyJN1xVoyS5ZIJxtCssx8Dk/FFoVwDgQbYhhPf4acGLSji/8
HwxODCLBNkqFYVyIfL9F+3f0FF88Zz0Jmn8Frg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 24864)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
gI0Gib0Xo40tvaTEMw79aiJH1u4YEk6HVdqkbeCop9/2waoagY20R0hBuYHx56Xi3cH8QWvex6XO
QV3vawSgqw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
KoS1rv1CFUKYNXTl71AfETT1Kc5fYzKPPR0kXLN6Rix83Z8+HkHQ7xAG+RQ1+wYFYntMPFYXg+xl
jYaYcsZdTVoy/pFQfFzFzIHMvEDyhGlxcCwJE1Sl1y2uiMCYwOlqGqbs4oqeC3o5WmQMaISJXEot
laofg7eBOKIh5zVQBfA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
nvHBfVLXEIDiVREK1ZtlLrZ7D2o8+j0PfBQlUywpqi0LlzVpakFF1+4oQpQsRCjkU6FiWgvIYEIQ
xF3opsh3cA0gI37cHXNoyxKcLQxiBb2Dt5ILBIpVL/2lp5QxYdpueQnedGu56neNU/SdUK/337V9
TOPZhdfOWs0n9NO+6sHptKi0VUrQEbTdLyOPdpIvhpsiYtlGNt4H6j4UrXNCHEXrsRFrNNaL63L6
8A9bRCIq+R/MVFKYc7XGOwzyv2NvWJLzj8pWBtUQtsewQGRMkz+zKhrZYx9Pi6JkM3pg7prL1N2K
nVfeZOjki/Toly6hp2nAp6bI1GZLcIhnkXFrqw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
vERJPdx2yaiBZPvdkozSOrF5HOgqt7Ky7CQ6WmgQMDyJGvZ/HgSlR6X4yONOLwnio7VEgT81lblo
CsCnrdCzOuuwCgG2laf1xjkkb3zU4ZQnsAe32Rt5/hL2J5hXn3Xe1UN0lqFw7JHTWR84WXQLd5x3
SJohMIaugOcLRm0nptQ=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OLi0CblrDwZ0QzOLfc6fg5Rfw9iQF5lR1whM955YYKGPYYzsS7ozaU9fzcer/htJu88wCSAm9nY8
GwuyBXZYHAoEswCVjiHm/hXAJa4NSpRD2Y0IH43uSTW82VYmzpSX3Xz/hdynoXPQj7/wHKIGviHF
4Qv/YOhuU5xhwLsOvbflDS0t7ko6BuR9Y1fE2WdiWwm5DsArRvyqQP1GnbUDsot5a5O0Vfi2wkaR
oCNwOAbu/aYmq8E8iSeITBM+rpWhbyJN1xVoyS5ZIJxtCssx8Dk/FFoVwDgQbYhhPf4acGLSji/8
HwxODCLBNkqFYVyIfL9F+3f0FF88Zz0Jmn8Frg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 24864)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
gI0Gib0Xo40tvaTEMw79aiJH1u4YEk6HVdqkbeCop9/2waoagY20R0hBuYHx56Xi3cH8QWvex6XO
QV3vawSgqw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
KoS1rv1CFUKYNXTl71AfETT1Kc5fYzKPPR0kXLN6Rix83Z8+HkHQ7xAG+RQ1+wYFYntMPFYXg+xl
jYaYcsZdTVoy/pFQfFzFzIHMvEDyhGlxcCwJE1Sl1y2uiMCYwOlqGqbs4oqeC3o5WmQMaISJXEot
laofg7eBOKIh5zVQBfA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
nvHBfVLXEIDiVREK1ZtlLrZ7D2o8+j0PfBQlUywpqi0LlzVpakFF1+4oQpQsRCjkU6FiWgvIYEIQ
xF3opsh3cA0gI37cHXNoyxKcLQxiBb2Dt5ILBIpVL/2lp5QxYdpueQnedGu56neNU/SdUK/337V9
TOPZhdfOWs0n9NO+6sHptKi0VUrQEbTdLyOPdpIvhpsiYtlGNt4H6j4UrXNCHEXrsRFrNNaL63L6
8A9bRCIq+R/MVFKYc7XGOwzyv2NvWJLzj8pWBtUQtsewQGRMkz+zKhrZYx9Pi6JkM3pg7prL1N2K
nVfeZOjki/Toly6hp2nAp6bI1GZLcIhnkXFrqw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
vERJPdx2yaiBZPvdkozSOrF5HOgqt7Ky7CQ6WmgQMDyJGvZ/HgSlR6X4yONOLwnio7VEgT81lblo
CsCnrdCzOuuwCgG2laf1xjkkb3zU4ZQnsAe32Rt5/hL2J5hXn3Xe1UN0lqFw7JHTWR84WXQLd5x3
SJohMIaugOcLRm0nptQ=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OLi0CblrDwZ0QzOLfc6fg5Rfw9iQF5lR1whM955YYKGPYYzsS7ozaU9fzcer/htJu88wCSAm9nY8
GwuyBXZYHAoEswCVjiHm/hXAJa4NSpRD2Y0IH43uSTW82VYmzpSX3Xz/hdynoXPQj7/wHKIGviHF
4Qv/YOhuU5xhwLsOvbflDS0t7ko6BuR9Y1fE2WdiWwm5DsArRvyqQP1GnbUDsot5a5O0Vfi2wkaR
oCNwOAbu/aYmq8E8iSeITBM+rpWhbyJN1xVoyS5ZIJxtCssx8Dk/FFoVwDgQbYhhPf4acGLSji/8
HwxODCLBNkqFYVyIfL9F+3f0FF88Zz0Jmn8Frg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 24864)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
gI0Gib0Xo40tvaTEMw79aiJH1u4YEk6HVdqkbeCop9/2waoagY20R0hBuYHx56Xi3cH8QWvex6XO
QV3vawSgqw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
KoS1rv1CFUKYNXTl71AfETT1Kc5fYzKPPR0kXLN6Rix83Z8+HkHQ7xAG+RQ1+wYFYntMPFYXg+xl
jYaYcsZdTVoy/pFQfFzFzIHMvEDyhGlxcCwJE1Sl1y2uiMCYwOlqGqbs4oqeC3o5WmQMaISJXEot
laofg7eBOKIh5zVQBfA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
nvHBfVLXEIDiVREK1ZtlLrZ7D2o8+j0PfBQlUywpqi0LlzVpakFF1+4oQpQsRCjkU6FiWgvIYEIQ
xF3opsh3cA0gI37cHXNoyxKcLQxiBb2Dt5ILBIpVL/2lp5QxYdpueQnedGu56neNU/SdUK/337V9
TOPZhdfOWs0n9NO+6sHptKi0VUrQEbTdLyOPdpIvhpsiYtlGNt4H6j4UrXNCHEXrsRFrNNaL63L6
8A9bRCIq+R/MVFKYc7XGOwzyv2NvWJLzj8pWBtUQtsewQGRMkz+zKhrZYx9Pi6JkM3pg7prL1N2K
nVfeZOjki/Toly6hp2nAp6bI1GZLcIhnkXFrqw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
vERJPdx2yaiBZPvdkozSOrF5HOgqt7Ky7CQ6WmgQMDyJGvZ/HgSlR6X4yONOLwnio7VEgT81lblo
CsCnrdCzOuuwCgG2laf1xjkkb3zU4ZQnsAe32Rt5/hL2J5hXn3Xe1UN0lqFw7JHTWR84WXQLd5x3
SJohMIaugOcLRm0nptQ=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OLi0CblrDwZ0QzOLfc6fg5Rfw9iQF5lR1whM955YYKGPYYzsS7ozaU9fzcer/htJu88wCSAm9nY8
GwuyBXZYHAoEswCVjiHm/hXAJa4NSpRD2Y0IH43uSTW82VYmzpSX3Xz/hdynoXPQj7/wHKIGviHF
4Qv/YOhuU5xhwLsOvbflDS0t7ko6BuR9Y1fE2WdiWwm5DsArRvyqQP1GnbUDsot5a5O0Vfi2wkaR
oCNwOAbu/aYmq8E8iSeITBM+rpWhbyJN1xVoyS5ZIJxtCssx8Dk/FFoVwDgQbYhhPf4acGLSji/8
HwxODCLBNkqFYVyIfL9F+3f0FF88Zz0Jmn8Frg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 24864)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
gI0Gib0Xo40tvaTEMw79aiJH1u4YEk6HVdqkbeCop9/2waoagY20R0hBuYHx56Xi3cH8QWvex6XO
QV3vawSgqw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
KoS1rv1CFUKYNXTl71AfETT1Kc5fYzKPPR0kXLN6Rix83Z8+HkHQ7xAG+RQ1+wYFYntMPFYXg+xl
jYaYcsZdTVoy/pFQfFzFzIHMvEDyhGlxcCwJE1Sl1y2uiMCYwOlqGqbs4oqeC3o5WmQMaISJXEot
laofg7eBOKIh5zVQBfA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
nvHBfVLXEIDiVREK1ZtlLrZ7D2o8+j0PfBQlUywpqi0LlzVpakFF1+4oQpQsRCjkU6FiWgvIYEIQ
xF3opsh3cA0gI37cHXNoyxKcLQxiBb2Dt5ILBIpVL/2lp5QxYdpueQnedGu56neNU/SdUK/337V9
TOPZhdfOWs0n9NO+6sHptKi0VUrQEbTdLyOPdpIvhpsiYtlGNt4H6j4UrXNCHEXrsRFrNNaL63L6
8A9bRCIq+R/MVFKYc7XGOwzyv2NvWJLzj8pWBtUQtsewQGRMkz+zKhrZYx9Pi6JkM3pg7prL1N2K
nVfeZOjki/Toly6hp2nAp6bI1GZLcIhnkXFrqw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
vERJPdx2yaiBZPvdkozSOrF5HOgqt7Ky7CQ6WmgQMDyJGvZ/HgSlR6X4yONOLwnio7VEgT81lblo
CsCnrdCzOuuwCgG2laf1xjkkb3zU4ZQnsAe32Rt5/hL2J5hXn3Xe1UN0lqFw7JHTWR84WXQLd5x3
SJohMIaugOcLRm0nptQ=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OLi0CblrDwZ0QzOLfc6fg5Rfw9iQF5lR1whM955YYKGPYYzsS7ozaU9fzcer/htJu88wCSAm9nY8
GwuyBXZYHAoEswCVjiHm/hXAJa4NSpRD2Y0IH43uSTW82VYmzpSX3Xz/hdynoXPQj7/wHKIGviHF
4Qv/YOhuU5xhwLsOvbflDS0t7ko6BuR9Y1fE2WdiWwm5DsArRvyqQP1GnbUDsot5a5O0Vfi2wkaR
oCNwOAbu/aYmq8E8iSeITBM+rpWhbyJN1xVoyS5ZIJxtCssx8Dk/FFoVwDgQbYhhPf4acGLSji/8
HwxODCLBNkqFYVyIfL9F+3f0FF88Zz0Jmn8Frg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 24864)
`protect data_block
DnS1LK4CmaBjZjTxOeERHjaHwcXvD0r4KcrqpJ/rZ6XLLTImjr3uAA+FglhLaYopLIYsezMxIhj0
KLwYLWgmIj+FNBFfQP19aqAnxZxkiW1adU/rm6TBhiJlHPSl6dq5NxrtlqSgZfSugTYpk9TDdsi7
GyBShNgoLwXl6PtsxXrUEuztizfJTtMCXmWRcNT/lqMMxtVhklEZ8QPaSFVNTs3AAfsJ0D2VM8a+
ohWtvDJCfUzFTwwASQQKhBM99ZYXz7Zfxsw+yhPKiqzlyvJTHNseMxAG26s7TMEmAzZG718ra6rI
Px3+sPh+pu3W/4/vRcq5yLd9VmwjBpyMvqcyIcOcRDtwAszR0hbZACOPAAmBvSrZ/Td9CqvwPGcw
uN9pceovCyWnsBEBCO8YHgkltjKRymOTCyQEyy+bRk52Vw5P5x3Fy3HYlViVNmlr0nT2F8pomPFt
chx3JIs6Gw1DlWb1xhUEBYw0XcMlTEtUt0ijOl3+B4AZYXYgfSOeaO6owVKUUQOLBCGSx/IemiF/
OtcKaEGK1jRMuvCDQ6gOWnDrpAvv0aoBhq389vxBJtt4ChZa78crJNL7Nidz6XvkAW5qBIYZGxjz
kFn+xtN5U6+odGOOl22X7r6kzLcxY2sR8WQxfNu+DJKxd2v2kabot1JycXIrNaY85E739HeGVzZj
SIMhoZ/PpBW52LHco/BbcvWa4BorVOtu4hEkvJFJ7ZvSMyFwYf+k6/qJiwL3Nc/IFlJ0s1vzD8qo
EzoUaZsfXYpJ+yiORx1xJYDJnABNx5zE3QcbT57AHDVEk6q7bbFtLbkBbKgtjafmnZmQfKeHwLFH
vIqw8koF0Oh1P7vVOv1x1tFsuC9+QQNTeluYVn12o34xQMYG6kVGXAhV6Zop5rbC4wvyh8Y4I/Co
JvhsfOgjpHLRHkDRxuZ2d+DXB8rbCHjrpgovb7x1cG4x6WDMV8AT6+v8qpvrv4acxY6gOgSX0/hn
QkGjMslsTaXQmcvRGLjrxOHElITpvGSEBH0G6lczV76a2KKMSD2tKaRHTuvYzXf2TNvAPauWeHw8
LBQnto9lyEusir+8QPeBwtQIFF1n+npKUkl4puEAgCXz+eJnu/VNb0BlIl+kp/6yv4ZCHL+KL1ZX
lnUQLWrHvHHkWHZYGi+/vWLdSJ3j8YzA4dw41Q5O0vPny4bADzXIDbob2PUJx3Ijs83OWblhu++X
eAq9BnznRa97KoY53qvLNhqoZ2XUmjdm+JajLIvpJGGKhrBhJN+mUiu1MqR0sX++sIimcQa0ucZj
DIijmldn94RVIyhOBPvkFxCa5bZUgZg6Gh4MfEhZ/DOqxRUFTWbasiU2RJHx2kR8mwKHGkWZ2hqB
UlJiFwpfivE6+TX9iSqTQ8geDwuTITIvZLkPYWIxvc1so1NQ6utr9z1cNkv2CUp7h+7qBx9hd7Pm
iVJsKb5fdG9IMXmiz55yU0aZUuBFtDrrK2AxpG5Y7uOQOnWm8mVMypmmbyMga5NvO+qsusjjy7e7
c7a4qMFC//C7od7l9s8WMM3z0JTZgc1tNTilDZ4KQhMifWyfGb1q1MgqVMtSSsLbWiHjYn9hkULb
LbKfycVIx9y4OlTjETllTRVWsFN6sQhGeG6ybhxc8eRF2cx0Qoa3f2vR8LnDs7heR/bIyxpaJGAW
nLS7RMbGbcqWdASd/S0uWBMzE5Cdzcdy3mcftv4sYz5mltBgweAHFfuO+xCPRuHjKox3H7Awd1tM
FP1n9PVyvJsbk3LGO7a5ITFgD9mXqxlt9g2C8l1rfpLx7Dw5z5g2hZOyMBGba/dSAEGhaSaBAM4B
+7CdpijYjDc4AJvhhXceF0T/zayz6bTcog9/HxmP6vQjnMXkZtXR7NoDPNntZIwjeaBWGnpu5q7s
0O2nmgSvzsDEyP0IANevV5w9O183N9UkYfIgzghDU8d+3qrTZJdm2aYtq2+4FYPmK17ofZqc4Kbc
Vij2vxwl92V0ujB2hc7pv0kLdWw8RHVjjlZNBj7kV9y5fgoHebIIKi42EJyGd6tFwJPTBSuOd2rP
zSAOqIpslHiLm/GBddGD6wprRUvkJ2rQbKKIo44HEOXhHiEJ4R+SHw2mM7gfVIJzoLx8vx8DMJsi
y+tsLVV3k2A+Xm1Ccdkymfv2WB/36ImY0q5Ls9mN4b7cq8qjFGJ2WjZLrVpY0b5AV+JO9pv0tv0d
JSVr7iQ7wodi0dhTG3qvpT2ED/Zqzb4Gyq7O04QjWthAPgO05CqbNM9v1RtbOlSQBqZj99CiT6r0
ajMf1mDCioFehF6AhZIsNBujJe69ZSm++C741HIIhJJlap1i7/UdDSfooS0x1Qc/E0IFVMq6v3oe
JOU/65+RZzLn1lL0+Hk16+TIARlqwWVaXxxy9JbWeSUgXLwdYFJ8VKVePgJnfbD3RlBt0XZNZ5nH
tvXl6JdUzvsjRT/zVOnAUkIFIVm4nHPsah+J2nCKxXlrr0uypDZR+PQtXb0oxsgGP/UmgRU5+525
g9Z8C7qXhUM1nlRToFdzMHqUL3PYtJo6WylxuAYwj2iitmJrpobjYZyHCQ3kT6YShoHAGfeR4CUV
oISEd8bKUBqH2EF7ZfSp5KpsHPVXlhdTaEJRt6qG9nbwSjTIp4ecsJLm15mrG2OgTkhd9ih30obi
/i3qhnyTBts2f6vGBYKrXV1AFhZw6/I/K3jK5eP4q8NSoiRh9Ee88rKwR4sP14VIVII70LWuuP4o
2K4othEhLaTywVx2WgiqrFIXME6IQgb7PIU10ZQp2HCQw+vNT0GbUwiRYCh3jMccGczYTm6VOwal
4V2bjCa0EfUqMDoWH7Tw6BDGHaVzrqBbLd9DbK0+tjr/1dw5xeZtmQ6xceifVw8+8D5E34d7Oj0i
uI8WX9laYZpVPypuVMmdy+I4NfqB09nN8xHG0RhF2Bt3CWiel26xhbJBE9XmSAdvfY8I65IyxPGX
zd+3wGRYyKqVhgg8qKDeMdrhb4zv8DHwN9zx+IPZVDIZUTww7buFzMW+ChiXMZItTyfoWXdM0P1q
gqaxJyLZ8rMNq+wyGOafudcW2kIHeKXsdxvJKUB3LyrCxpyqqoRv9kwWURCK4hCqbnEtH3j5P1a5
0iYmtF4GBF7Lc8RY9lnp8g0je26kHvFMJVJ8qDej3mWRnR3xb2+XMsZNXob8vNZ6dkWgellhSzxu
bsF+wEA/QCeWY+8y1WPFWxCNcHw8KYUPYBl5Fe0v8kUx4y7OK29OLTUpWUt3EVCllO+VZ1c359fD
o4g19VfT5KnnjboNt/BRIfnaqWdDJQC/PIWkurGOlrfcjAJJqCMOJ634Ug1abvVtSDk3cqfJNM3U
/4EvlQSQAJYOVidsZXeyq4I8zqpX9BT5HseHkx0QBzRgvjCGOx+vLcwCo9UIch0brJJbiPOnXAqX
mnoIVf/wNtKRWURC0CM4ESfuB7DUeM/v3984hXETjQHwgXVEW/h06+S8QIl/mAhjZvx5e+5k5k+a
2ZIqtT50bZHklAVvwGwcLcGi4dGVayunkqyu7Gw/94all+PVXadPqyKmtkuCL03K/I5Xhyso2NjD
D1s/Q8GyyQuOMzT8J+xKc7C1wiuiLX3ySO2xAZmpD61dgq7+HB5TDzfA/cfRpasE/SnyEPGXnqMM
LBhRaqtGO1TMB8nUMkU52q8E3zFt8UZA5AsOCVMzqptbSFq962/LteH9pX5tmpM4yhtl67b24ssJ
vFdFzyUI0uPWnIHctCZlxSTTcmcFWS6mRqiY7+LpcG3d/7Cml5KzeCMWJPWuU8HS/1PlQLvI48Ua
XbAMr05igQaIIrxQ/FCRJ/CC5fCFJl7a7XW+uHmZpZ78vBu/Fp1r8ESc+sGA3gj6x61tF7M9TbKN
K7laN33A9qh1vVkswfhqtbieMi8u7kDPOY2l63ReANIFxbLYEUSOW6wLtsnV/cPS+byANFtRCsYg
iTICfXIWtQWTiwxvEl8RLPu6WB7VLxCPS4bd7gO1KFdiPlTEa+lgAJuujtPZMZRVeJ5qV6AeWaTx
T2+NSAW9f0yTMX6TLAf7LGzc3CBiJXFgaj2HNISC2umCcCgx+63x6TdhbNECaWg6WTgMNV6EMOH1
OC0Ds5XV2KOz6gjtGowNmgv7wZ3We2dxn9JdrHIFAZq3z53jpVD56IQuE2hcc6bT7TYJSyyw2O/Z
wgVeLlQcgdthaDDP0JuSQnOOzDOm+qNz2ytcweqkqPMvplRe6veSQ3KjScZiOin45U7KV08ABoHS
56JYa6edEpCHiSEBnfmVITBGNuRv7tbjin/OQlxzocIydrVjAotYMj2jhFzSGPflGqxelfTQZ9Bf
84hrc2DZ5hvupJuqJbvCnozqaqIVNnofL4bNBTV7uSedNjwhVzXygPSkKVb9M1GHVxu4IJClCAW5
iWYCxErFarp+y0RGOMtz8N8Yjsi1MOGleCtmyzKI4Wwvek4qRfsEwlKsk27+CwhbnfdAJoF7vq21
IGgul5J7O88fctxSMgLKbUuvYEgzMpnWfUG5Udt3VlPpzsbmZv1fzg0RQAKoeSyWNvGOQg1bE2cG
fujwYq7oRYmNao5/wPa6OrznKD6voDHLwdYjgpExy2KvXtz3T6mogu7jIVrcfOpQSHtUP3Lzp1p4
f3Rkn8Rr+0k4plsOSetIXeBKJ1mOHSnJVhfNqsevZR/muCmwnSdfV65n7CqeZV6Elwxge5zEs5DD
/CdYUbVkwTy9AuXxRM3JVoJaBK1VL+4o3UHXeylxezqKnZIiqbeAdE7GINUhBKaDaZc5HDlhoc7/
M5xQPXaQko+FK+1v8dnnI3toGA8UMPROcE9ODyVZvs3S9pvsCgcR9/IyJLjO+EYOCshR1aqIzB5u
T3QD0OnbSMdu73f9u5aZAqFPPeJvsGjAp/AJKuOgzu5cP2Js1TO6CsosyuYaZrzyaxt+pcCcgEvt
qxCIRS8KYwOaNxHgzyTD1E4/zrmrVFHmH98p+O7Bk/eRAtFJw0aX7d17itbkYkW/SbrrAYybzEVe
0gV2BU1holVOZt7Fhno9zyzblUPBsdnnDHVFGgUceWEbfqC0eDf7HG2ZutzTNWwR+XMQ0iqo51by
yOlLLGZSqWy/pevIePn3sWX2MMHDZXrfW/fX/BQB5O2+Uxh8GHcFlTVd6gymMYD/CVSUc52rgB8e
crwJP0wicTPuPQESnkqGdravMH97RjMtzF5suZYWanHFEWdDVPV6IDZq9z/NJTtGry7RmcJffqRE
7hck1uMbZpcx0z2vI+NFPX9h9gqleux3FBorx5fe+zy4fktC4sEhZx0VxiG3rl/treDwQ2deXQ2F
sI1G8C5yDQjE7kN4MFlev2ISPNixSUZ0AhkUnS6P3isww5P+NOB5zQGNyBrko1eAPXdlLbyIg7F2
X5LZW0MT7vvJfrKDE/fhznNGgAMoVFGB/72MyCA+vBalQtwajis2D0wUojvN+z+ejCzBC8vV8M5l
CV+FECFd4Z4AWNOGYPAijW8+viEXRe68b0WfjxRwkFGQTPMucT+qYKEuHu6Tx5AIcyJz9v8yHspo
yf3tYaF6HWbZYNBraSH4ASoDiEm7e5Dn4UPQSKb33rIMuTVD/8UjbGHQjfTdFXWz48uvxvXwVwCG
Dobsr3M1bdZMQit8yxRLxAEXqQQqXYJHbrUHgpWaQQoeDbSecNxcNwk5cYyuWgfC9afMGj+qIx6n
/EeoH158DGQwUtlYK7c2TeBX6bKblradCUe3RfiSsl4uXTDhIMM13976Bj0kPbC+kIT8zMq7DnHh
tbs45G9vKPvQ9wDP15wp7TFvsMH1nRKhma5KfA1VTmKT20VtfqozYac1juUybjpC7ffOftAdtpkv
6tFw4fdPJd0sQpE/S9wopa0gf19pLr4Vmjcxv9x9+FhrMEEdFaPysPU0pICCkSq2ua+pgIl1VNmL
3s3Vuwp6NiQfHUE1hp7m+kOOIr4r9xkxHdQMqjZhdTmGomf/6YC8IjGzuiEtrx6HP5UV19HSDsOM
4COo8d45dfT2iQFdAStNFThIaJa/2kjNeOi8ZJz5ZbgMxHmIVqlrobo/opBDNVMrqgjy8/DDdirM
lnJTHhEtb3bZl8DEerNdbWISNDM+P2f4h8jLecEPDkP7AsPRFlId2GawlbSdMyKPUR/p8FkphzMM
5qvu0jkB84ENbC9QUcKDpVSzzOrNuyv0JZfQRVMMSgNHu/xoAXvkcugxtIpfKDp9SOrDXYkVUE+i
09IcWGBDXq0pwEXUl8k7xCHHFm6ppxkWbQDSKvol/ty1i2LpquunLJD9HR9VTr9znujhUc3W+LMc
RRWs5V3Sb4jCy+frgpn0Yc1L78GZlEq02rf2oTkrNE5h+OSf/RVhL9RRnmb1qRXp8O2v2NCyIebF
0Ccu1sDVM3fAO4fkFzKGgZhblZQJVZzlP7awvN6Jq9lJkMeKAk3SFA0rVYuWDa29M3Vp83EMgzsF
MDbAp+3N5G8NMrnyFGS56kVI278X/1FEu3GOc89qp9BOK76Oyy/UDuarjh1KrB/ma2UffEJypQfX
me2gGCYipUo02crOJO7N8R1I6f188age6XG9AmaUhfCJzOF5+yXNabUE6Vc9w2+Y6iEs5Xka57/B
8wmI0OZNC6lF1gG424Aiurpugwa+yb2O9Z8oh64GgnvKyWTAMB0KlPRPCdsT0BB+QH3d2LoXl0rk
ABTqU3CV+xYaUWldf/BQfvoBrwdlvcFKseOhb6cHNqxvemcsHWRe9oMLTZxmOTXr2u+DQZFPUJxv
9O+5HfjLhpYaRv8mT3M6CwXKzuGdxxpghhW+eikY0JUv0csq/DK5or0BGvWTSgcqEvlshsyOFB7Z
zHLTWI32sNMCMbH3dMAO/h9DxmSkLVTtX+hFIlbQM4qijxGXJIpxncADOhotYJ1pClK0FGpGL3du
5QKGwAKM9zUX7s0VZWgxSe3WrYwTlkyqmzL16x2Af141jDef9cMtGGMFcLoD28np83mc1PeeIj4L
FYnP+YtfWbIE1tQ1YwlBpL+Ful3VrqGBeHmVkxMn5RCVFdvUW4dv5AUpCWznBCpRJcKoFWm0cL+K
vkaAqQLehZj/fZfwOBWdShn+fEt5l4hXRGHoShp4YZYXb0RNKLXltAcb5GDwK3GeAGB/6lA6/npf
HGqFnFqIKT+gC9vTghC8kf4pttsl8LzC+ubmF48TKLzv+2tlrsBW+qn5E35ul74bLYfeDDie2fLa
0g65Of4unAH+6TIghT9m8+b2kEd6nyz+AO+qHV4AboudI6W7guxOrapFgFvibJHGTGgA+JF8JcQu
Mfhb42lcO25vuKigJQU5ebEJX7qJ5s8X0Oav8J1SxPlnDNBwL4IuHQyJvJuuCd6pfrDKDEbwMzMH
qoyt+vqJv4RWAMuzSLhdBaEI9ntZ9KocfBNPCSv7tU7oj0meuLniDmjsw8pVUPqn577AYeiOyoVT
olQY8Ev+AMayttPDYdlZKsZngYlA7n51qmuuOXEGVdDb1lRlX41zDbccjw/NAgTNHMKFr1PeACE1
TvRrVOaFwbW4JCmdHh2E7yjVcOlzQqVhAjStGMr/SaoWCZ2kLUrXtp0PsDOiNRiZ9of0tOdYYxkK
KS17s112lycM4lJkAXZa1QlfsugvXX0Ny9CPN6KLK5K7UysTK0A/t4Q6NBzUs6na77wC9UipSOEp
yFue72Wou7vo1lPzDGlsln76f0PeFUWItaGbwhF22JbD/O1RwJnOTPhxbur/AtZKBATRCBk+QK+n
hYHiZjqx3USpwsabx5nV6uADT8p6tOCBuaX1NhhH3Qah/5zPdZffBAGsVByJQiq8kAcQUXkxhGMX
5yoYEqYZ4bjdA6EzDUggUIYTtQrceUUP28mF0m3+Sn5QkUl6strTMBd3BlE064Pv0+DvccVEzCVA
L0ntfeDuLefYOAmw2YvZaw5gnLgd88HwMICVaQspC9iZO0EHQi57qbiHCGPgEKElJvvcM9aykxFL
qGMYXvwT/B4eGbs75rXaBTRzO+bBOVzn2tGjTdarX9EMTlpMKplDLpQFqhMv/FifYZ9XQucX16Lz
Y2ozf1GLTiAfwb3vlOi0sJtjLPXOSdnTMm2o11Vf7QRo+66v/FbpTyzumo7dIfmPQfLDDBOj5X+e
jw9CNb3x8I0p66HAvyW/crwLGJDJJOnkcnDK/qjUc8P6TJ+xmrLJjlfF7E0tVTbAK9h5bzHElDWj
HcYZIHgF95fQADLOinVxWSlXSKvfP5pLKeUMVDWHS2vIsakK4LJuDCcXPNscGk4Fgy5eS84jYIVy
mwDa+WGxa5W2FkZwHbJtwhOxG3AzRvL/sFPakpfEtXS0P6UwrZ86sEueeETMQrzLU0gElD0OLA4O
yLypH/M80To/hcC7QvBs+UvPcdzJF6C4SHEmJCZ08K0l69bZ/wTizB49XAVxJeUcLJE+DG7rAtHK
x4MN466azPRkbwmcoLqUKGGPa33UqqNdwNz4haWHNDcyks55GHqYqK846A3v6KLREMMThAQpEW64
4GVVzBs4lea4KQ5+wrJHadDvDsHgeJXn7DuNLPAONZXhoDp8KrlpaPx7eiLbD5zLRwHozyfTBKle
z7/NNkfPg/CK1KK0af71/jPalLeOf9wZ9a5xLwpeRsehyKwoyKuxM5zn+slDPWMSTKpqs7ozgru8
aJcLD7dUWxvKaSpjQpimvrdAP72LeuPEggzAxHLcGXlEH5obC68RI/5Uw59aFWZy0DAFgz+pCdV5
0JGXUjcLVj38p6gBka4C/dZJ40Xw9+jukE+FWxva01G9STOT6nGqy5r5ZvccCELPd3mj9dYjvbfS
s6zIBxPhAEyOV2jLkYSFsrcC0zXU6rXXveTflisazk/lml7kqicHaOmrJM1Bkc4Wo6rVUUgRWheW
x16giwnw1WtS9DgyqZldlhhWZPdWhezq8oCAt7EpaBKUqwddlbioNzXDLSFwB2361g7s5jRCnjhZ
kfC45p188jxNekyqWq7Ivjmmm/10UK0I/P4hsDIA/exDfAebuZOvDcGQ+5a4yiN39Vz5aFKQxiwr
0DNdm2gqULkdE+PzOhqO3aTKhtBGw4+qb0bxuykKhe6ysWKJJ9v91itf9+KGxn89TdlIkncwXjJd
VrwxvEHy+nGI4rBroM1WVMpfvaaOA7+5wMXNS1NNDCI66oDCQ762SvA4auF+3Zn+FRu5xvkRX4I7
yCaBglOzLH2kxgVd8Vf0QjBmiVsA8Vr/OtI9sbJB8uFNbcJZR8TTkQEqIwfgTKk27ee8QW7F5taq
wIWAxqyT+j8Tx7gEYD8mYnvj0cEL42UPyEhmop00PTTpAv21QmsVb059mlftnPislzgpkBOUHkNC
eJS5t4FrTNLDpEj8TAPMR/Lbew/WqSiW1mWnhObxP+M1FFDvcsSk2EzpD4hzrpLErJI7ZJLA65vQ
JquMK5rtZH6d2TOKxPaoUlQDzgUU79OlXDJBMZ3VtOf03PCAuRJY5wCBpCMLUkNUkP31IifTM9ud
DZhmltykBhuKrD5Iv9klbKAPI1lCRBqTFfoG4RRCmqukDgQeHzJVH7afGJlmI69y0eMJqHB2BXnb
rqAU/AdZqxJx7xHCPJ/1XO9rZNlyh87H03Z2vrnDUu0GVfpXXhEsoWfdDnd+Zd8XmT6vW3Nw3qBR
Mq0qU9z0vy1frKxbQ7bE7+zRB1EEJnYaYRM9ab2bLY2Axkqcrka7RVISsh94Zax0Av60eGWTtkpX
QZzS0K1NygGtrlGCHsjMFXx9HCN1ywnB6my7Avhq68Tjg1yucmSdGHIWUmOxl1Tx2CJmgLyLGFlO
ePkORCfHIM2wnJrO3Hr92lMhTgUeJdaWaeanC18d4zYUPl3t6/Y1uSjDk0L9feNOqhcKzCt1qZsv
+M1kVbLwyI0S3ITZajN07Qg1Yx2sGtCRpTGnhfQ5yaUapA9f2RpfSwGKaDEBwhaZpy+ysb2VAu6j
7EvteeEqBTHJaXA2kwKphMZsWDZsmsTVy4WUFbAnoLxRSoJTToIdxOWQTHW1JOLfII4wUX036PeU
da5IIc3nDEeS+30ASGaeEElRL8OztZu44MkBnP43CGP8NVlxO5AI1QajBxveiZBZD/2Hb7roxw7l
K5UPFN9fAuTWvo13Spo4c/LN7/w9yqiM06+y7eGdatxq6Qdb1EFrZsX4fvNxk0BIUeqLhNxtEz12
dqMT8p4zOCsGmHlLtBSh4JxIpSSvCPF2tdbWhtSFcnYeRSzv6teCJtFsKskC4Bbeu5pwa31hd7CY
C7ue1KpmGccmuRAZwxhrwhpjsz3+CBHzMfNMIyEYgnRUQdfr5UBE5kfmOEmf/SFtkXNRUHgDsC2u
LkhuVCMGEMu1NkYrESMxsy6hvqidsZfc92EiiY5p5SpO/Z7aBQUiZVps5t+iJRyjMNYLWq7qAo01
gnJOzvhIKtBWOFU1DTo3YEUNmkyk3gC5XHMQsidGFzSe1gRJ9IU1qlAuteXuae+DGG1Hry4lotY4
HkjQeu3VBBPI0NuVtLt6FizMygw6zhXDxkLpB55sdLh8qxUArJP8BIweBltC+cZ+kBd1nSri0Jn+
MWTKyO4QIJDprvxXRZvXh8y+dS/OI3i09XOIeVL/2xM57nNj2lAewOOllrwiOqH4YAOsxaglCLiz
xcHvKej3hnJpNOUshaeEnEMQs1uG3P9Eq6Los2xh0yWaGeenNb7Ze5Iqpxpf2thnASMCur0d9yOW
p3TRWDkpKNZrrLoGhNGPL9nPguwAhqiq2NHsd2FSo0ACn0/UyJdz/fvkfiUnnF/rRiNgjuEWBJVX
0Wx7pXu7a9Sqh2A1WyNcyaYHCG+u1wfINS/du6KuQElL8nPtpCU5me+G8rI6iF7gDARPoBUjeD8y
IjyKYe60qKzpSeufGfdHZlvvGPrwSZDTSG36P54NxOjh7rNPi4T7ykSHcuejLkFE5v78G0YXiYk0
oidFkcKN3ZHOraHesmdBc5fGrdZxBWH3lWcetNkv/eEdqH6rAhCpX5iD8wFSJjpza1xRx1EH2Nra
qkWj+MDqsq2GIr2wXvj1/I4TIv6UBnoxmvLSETDhJt8bm3tL/yhG+crFtadqEccu3qhjICl/NIHq
bMf/Fg7v5xpsi+tnFu2UFJzlyRW9cy7T6Dox00qMJ2GmIJBKIUQEml5sXzebqK4U+RbFi8ZQuNTR
3H1egglN5VRjiSPvQ9CoaS7cH0knk9h9XD0cqKyQo9f6HQdFLD1hn5bV6rGurcTTcm6nNsqhG0K+
GRnvWLsFAYP9FZ85ioT256rbNqhJ2Qsh00k+LNZDlbRvsPKuuJmszrCCvYOWeeuwfNVBwIFwHMIH
oKMWtWOKMnelwj5ipbyt6Cyme/iqPWU13liFJ9D8DZhgzSsfRG3KBJVh4rzSEs98Aq79zKWT3Icw
UmJZqyQBgjrlxJc+7OTixmdt6VDN8LFHTAj7MgPUZFUyj3ghzYZdKkfkB+pK23FzeogFbNbCzXmJ
+3Z8q7NHOaTZ4JxlOZTqf6aPPfqnN9Xz+diFlpeUWzYnONHXKicRwF3T5cSXljHg8/IpNFb5I0v0
gRHlOQiO6D6iwjx65IloNsdVPNv7YeAc4jg14nbJzy00EBGtxnxHNDwhtvFJ2T2LNsTJZoOVOvpS
x5IgBgoNOzIEdaSTN+dkuxig9mRqmNjFOKrD9fjvRvnD/OGmNc29iq3DoauVe+4Kx3wZfq52sK0K
O/ZnIV+y/O0lBvgPd0ilRD++CgtAgAj9Es7wl2Gs598+KiyjaDI4wgAtolEYPBzxn/hZym0UiQ0K
q0ntDZ4ejxgVBl2DcJmtM5hHcC1lY72/QFKSuDlYASmwVZmChIeXc5KExuj5T/s8r614jioaFSeL
GU0xckQJNPilqx/auUB5fveQnBNKyxBomsnU4HkBQABMJd2WO/aHkgRvZ99k+8KoPW0BJw+Onwjg
kWn2ivMRXeycAsAkMZ0SR6bNScaY0jOMhdSROi+OwhWpNyUkjDgEtzw4IB1EDYiJ67MxdUTs5NGx
oxxTC75IZ39FXBPpGRbtY+Gg4G00jIb522X5cg/YTS+qBZ77CbOCnt8A1RZo3l3EQbir1hTMaFHi
Lmo7KDlNZVYCxmeLCZK25gZLtztQ7go7H84eVkI1g06J0TE418FYnotYCVR4fOstZCqhvWRK89bq
zwDlDFKLsAVqH9cV1AQI3pWopP8ddPct/qNI9s8g5pe8nxbwiZWmWrSDqtGscmnnboCVkPun0FsH
XbL5dvXAaVxpVVqCSjdA/KKR4GeltqTbwL2SxNCY6n2PHVH7EOIj9RS+PbIQieDrq8zATbmYFuIP
fNtEyCsi5X8Eb+TAU/2wJ0msNZU8ULiw7kNEDkxNMNFpokEPu0m5/DHx3Obh4L9Aao5GnlAyq26X
eLl6noEpPEr+rap+u2lO08NvCPFQEqFvSZ8Ag0txHuzeyNe/gBBtMeaV0UjUh/5ey6vma+DfXrpg
qyFlaFWxLHv9w7y5rbxoYXhxDYtwdZktzENf0NRI8ztZvEgdZ5ANRoNj9Ss1p+XNsyRgPWRwQJW2
yCEKps8r3rcpfJ7qkzLWQUC11bbS6dpjBjSVlX8LTptjG1C/KU2nACAREc5KVsaI3gwMO4nXAW1D
93Gi+tMPVpbCl2OyTN+964j3sMlejdLhxyez/d+qwFTbI4rvw9idicwb3QQjQvMn0QNdktlhIWqW
DajIlJt8dDTNI02f8BP9sEIHtLh+ZA0p4Bc4GthN1KagwvxaAN6Ofv+zvruotLg1kaRqMt1/aKqv
4YVs/fmhEjxTfVNIV9qWDKpFL1Gtfjw5Y58zEctPkqGF0msG9YsjwfoUufFiOyqjp/ToNkZCIJRL
W5OSVq6K2wfoztFODbpMTpui2mCs6CGzMALoBKG4Zay7napIx/9zmqBxHhCdIcdq+jSbaOkoGh6w
zDZltroW+vCzpAL+pxNFDvrHqJU+cSrhAtB4wkku+fkvyDkQwGe7+c+ZqYa2VvdSDUg6VpUwNiJx
flcSVO9kog3pwRgr3I6XlZH6D/C1JMeFB66j4U8MAgLYS+YsS7MsXBHv+SjurmommXdJuwwkcmuy
zeuQANUGgKowUuMHQw67rJrshcGBAToHSJ9rok3ftl1hw7Sd18kSJG3OpFZkImpJccmPLerwQSrV
550wXwvPeH4c6nqYyraXI1dA/Ff6YeHuTZro5l3WM+Z6ig5VlbS3GbrrbSX41d+ZNFgrDUHbS8kG
vTTIWxgQii6mde4ljSKiJlLsr4ZvUVusaaXqyGsZvRV0IU2ecVHdP7f/u9Y1ul+Z/l1Gv4+gZiDs
0fOy5yd/6Wd28Av250P6EGp2Jho6bv6cFSrVZR/E2JRFkkgIMWc4AmctwEfsrpmwBWFnaeBiT9Sl
SY1/yyXPt0sx853wxztJs2KoI9D+1K77Xlc5fGVMLA7BR5KHV9OF2268WTnNEc5UjHSqGDrslr4s
RtMAyKmmMISY3mOflk5eUqFWux+cHHwfmZh6zvxatDjMSRUI7wswV71Ud16SX6IDaO+5F9WeSdBR
s++1OHkifK3ZjBK+oISITEI+7g26HlvP3o/Uk8FBrRsJskptc3Tb2c4GNt5xzVkev26a1idygol2
PnK7VVhYPL1vfyNoT1wG5sq1iDKCK9HujovDuwbihCyrg6eK6ldtMh086BQCP3dN+aQz/60kh0mG
mWMCaer6cyA6AqfgAW2PG4dhl5GqRjdnfDDUj+IStse7yL4eZWHrPbmVZ6PtBnn4F75rYRX/yoWV
yonnN2s4XWrU8Jj5WpBFquCS+GbBhIXUlSupVNEEIRbRdV4YCOlG4WjgxYQrO0zdWyw14evXiH9g
vRXVgMtIC/F5/DPskirAb0dvHxugrMgu9GGylH6YOcFT3xGX1QnaLIDi43HhKaVkjWUMV+QrrBUv
IaM3QMxaLTNFdGQiWbwrjVMZ3X2aeXxdT/TfbH7RYZPTuCVKJUv3LxKZQtlW8VxvRDNv3G0RdbIs
qktBDyw3HRGlkv98UDUDw0vDwOhAO46XjO+w2KS7fCgbzPRkl8H3PSs/evliL5eX1tT7RlFk9zkR
tl99Ow5zl3kvDQXsjReTiT6Xog/kAs41h3TGMeOuNa9a7jyYPF/iN1yFUnIh71Poi0q7C8V2Lg/S
zx+Snf3Krowblo+wy8xRu89KRYwPQoYkq+NJzos1MpHUm8aVQAOntQBfM918surWhZjaOeHzGppT
27JG3x1/WtVm6zwygIR2fPtgGUg+W3f24rAdXcNEgwDxixSo7fkwjMqPhplFP2+k1hwonHNTO/3T
9Wt5iRHuBytMZ8TwYNbbvlpzFtfGzOXXJY1JOVCOsKu/O7IZTGa89Gz5nHUET3i8tlA0N4PHeY6X
N2LdWHCuuezjx34/pbs9vGnr4IGRsupkyrzHswU3Q+RpUSTXiKsDZgMoPM9/6GNy5G3pEfLb41JK
TIDsUiVvaPEueccE2ehx3+vdlXYT0t1At4mgP/AWP+UaO0Dkt94WYt1EEcYL8ttxkSHyIKmTMFgJ
AXg0NI6/jq0MxktzQbwrzfoRpXIg9lAwAN6FmXmEEkS1xlG7PGuXFcyp9m8DqyVUnbM77N0aLQmE
sKhGOYzjgXRofQZwgaPtmHUQEBWHyXOEnqWFIY4Wx23VCuujfZKhXLLT+mC4DDPH5iOqY0TuJ1yN
LKEcMXOwHPtYRVSL7Vv6MtIiPIWmMB2GZG4cl5FNy4xPL9M2BFAc08bd0QreQWJHIrWYBj/xJW5E
EN/XXOVWIs00vdo6VaWeKNaLZ+QOzA5zmPsbiA4+g0YQWcAwh03WBWNuDJGgku6cKkYG9Tgbi1vi
tWqsgQAPQdkelnRnexpAmYl/PdAfh4Vqo8iltbgSiLNBBCmi6H4V0X2UHBAxFortT83/TMVkvWgD
m1EHvBsA8w1Q5RpkfxYLRdHRqSxBckjAnvjnSDbwgjhypUg0PN7Kx8Kk1GRJifza3dVxT59uKaqW
uBAom+qgeL8vCuiUS8Qk50xxEfSxsQFP1IqAso1rNBvSrYTzUPy0on0Pk6yqiDED2DgQM5OuoYBd
j7RsjgjWtJwGnfGZWkaFG8cK0F6Zx0eMaVcMS7gHoowb2baPgSfb1o6BWKkL2MOsZ5MwcQbsjXFv
akammRwmmONdfh98jVCZr/12/9YXWHu3EOoJBiyMgQBZzzX9laR/a8xm5J5tG4hVCBqIkxtd/CRX
FgPQAPHzoIO0odHWpoZtMGWo9/ZBcOga3B5G6QDVhhamTVTxJ8CbiPB1/aZd5zuhfNN1gDBb1+4j
Xc4jGFAGCs1DQ4wnm1Rax79T75sT/JFdcTNehlyNMLMViysdRs9LC2ZFKfsLxp+eOlfeNv7WzAXc
sQwl1zgzLu6nUCg5NgRdppB4UEQUg/veXbfW3s5vErlosjrBwjhUkwAxAZd2xYi0jwqBGIv3fWO8
D2XgKWkAT5CkoAWij5e0cx1rJoKn6pyotuclrsWU/I2bn52fpdDF8b8RrAdJkCt5C9ktl5zvQVtK
8z7+3lopMS0tSqtaGcyXNHpt7xknDtoK7Dx6GmTM3q83ZZpvC3myTO4Os7UJR4NybHSNHtCA++51
T8/lPg8V6vQdcX7/VQ2SptJ6//R5hrQpipvXEWD61ROQpXFNmU8VEzuricgAkeCt2Oq5SmanCFGp
fvjVOidSx9oW7wNpiIWcNgkvNcZ44dFVoXGNZr/4mX/9bRzcMf6WHHXiXU0qZhWoO0iivdkzpTBM
u+4juW4164flxnWVuX4MLqaiz1+jn1GodUC1jYmS9K9uGPbTGVUWMKOzldl/fh9Y36jMIF/rnSqf
HNTkTfci0WCmuhFuPkuMNq8zjz0A8oad9C8NVOjh/1BByat15TnH4gDnJneaDqN2NAiVTO8FtN4m
+qHjBfgSlc4yhteTSnTWgDZe7HAb1a2XFHSoP+OMy+xiFw3s7GEMD06LMSdwIYFrKth0jhL53YOp
2vOCyOeBU/OhxwMAFvUZ20/dra7PAUQvnj7/x0EQZ6BxFqt247b8RObxwhTQ1emJRZhks7rPs84I
2PBcImhbthqYZChg2kye3QV/28/8Za9aUSbJslqm4ijZkG20xM6Rmvxzp6Hm0Z6I9vNRC2CqT39K
Os+JwBfQ+4Q+237oQp5gBoGjwKhqi7auXzB/7UuoYlx0v+1u2nXnGs/NhZJVQOgDgznPTXYO5uYG
XAkguL9jTSzyZzRS7gmFebUPnAePkTMcnVMOH/X90NhahwXirEuExvY6tZuKdaRnomGK5jEQPaF7
2apzuPrLe/f6sQXjJKelw6cFwUd0L/EQlcUXodCmekDj/t7kdljBFpO2DNAs823NGQcJoohsQrI7
08GzaNtyvxXeoQRgIcKPhFm8i0eQ4FQrKWCi22er3Wv6Idq5l2/3ic5omlN/JNnCrdSuU1k9+4GB
CqNVjhmwi4fp2YFMqO3WyEffWMzGUse0RoebXTFtdzdZznF0vDep9VQVy5X80NPoSJ0mFLA0xLEl
s+9xmJi/fwSysNq+RLU8eXe7PCiVJsBJejMi7VP8zPaiUAiNRSKvoicJUQ491qX0LtWCyS3wZWGx
POIWgJxyslkVzJX1bRAZp7sJYwODIKk2WVxv/DNM5RWPULkRC+WvaNz36aSvxbjpLbgDPRurb16w
yzfnvbPjLXi/TtVGRSwK6etooxSiZaqHLytkHu82QV7gD+ICzlCY1CJiZvWVMQH+OD5n2IS9wicX
PjpxOwW+IIeqCl6aTGzf9JtwCzNMRzjAEKHq9sP8UpPYl0QHWrjEFgDph6oV9PtpMcS0oozRXs+u
jRD9a1FpTvRW1gRybzeoriU3I3o2E11JecowZZvo8wxif65A1wNSRp0UfRds1v00JKpecHNrTnZO
FMb3+er0v9rxpL7MGNb/53NquAz62Ry4Yj3bndK8wTQ+0R5gVLOcpbU7zzSp8tETJJCPgRTnP962
xPDagr48ukazRyNHhuxi3t0MMpcIkrG8X5mZ3Ily0QqNSYLkdGgA5RAS6qUd9Eb9vFlj1MsdtmHX
TcEtNlGtU/68chiIns9V3KvoDmTeiveGWjX4XGvZjdOAqNPeYz8NN4ZH41HrCq7gayv2MyhKbtTE
RoJ+Gq8eca1b1i2AEWTpp5gAZNcLLffxs7FCU2FlZQQ5kY2jWnn7ICsARR7DynWjG8Goc64fgvYH
cOMoPaZa4tJq1eq6m9tNorEbvgs0XoThhy3DTmX3fb/5MM5+M1CixeEGralyRTM9y8rhs5hyiari
sZAUEvyRwH9asjfXMR6PxzxOAlSl4SPFpHkGJUE1OtH1Bml9NU2B5x1PAxtamtsn5quF94OQZ/Xu
MyWYBoOrthpc0E/JZDjgMS0OvFZUmyXZALJNBtFBgsRLppska5D72cHEEuWIjAmhxoyRKCEsIFod
rZd2DU6HSWvWm2YqZcrQqUqoznfjsjCwOBqxyzZIz8NUTU3BcviUnEJjV95GXRakPXlGBpxIOrZr
ZmaQHrCPe64GO6iYbhUTyKb+zQd/zaIBQb7pjwm8Es1ODjsfJWtfJeXF7z+fR1JO22uBQhr/6HVh
4urvPAQHw6swQzDAxvwuqaknLss1202P+0McglGY8CtTt559WwXk7VIzdFJyVPlQR3PHfelJOZUx
MpwKZCtUwRSwHgU6nQHCyLJiDDfpI6P1r+tO+fKykv1mm77tyM/9IXGFxbN3sdf/LDqa3irvZ7T+
61nxqXxfjxMCffTmLkBoUWwv4N9skxPl8NPJF0jNqQQdlLlR59peqYSGrlCD8kGjeK9g/5AF8g0Z
7MlJpzgv0x/hEfSGAYcH7qcFbSaoSscssstxu8E38oFpFh9/tlPXT8ZdUXPj3icoFzY8WkBzm+Bj
SW0d2U3nh7NbcwOnY0rlTavJqQJXgdYRtVEsxDMWf/kAz5OxkNqJokTl3K9ViuKwszYSwca8lhCT
JsvUIPcRgFCE8uqV1OF/W4VSmX5Lr15yKDiulvbnW4b6H+s/BZnzZVTfDV+5cJI2kSjidmY2iZkZ
095mvnf/kFF6lz1Luy/B7ZMUIYtJKXbH5NGHZ2yCRkI/Wf3XURYpBxtOGYNvWLtFUXfNJQB0R42U
/krJk/nvlX2Xm/o4kU5W8uMq+V1n4czxIxmdz4lusEkYu59wm8oPnRoSVHDdrt4cw5Bj1r4CuS2c
sCH11xDki0tRbQS1EMRWliSwHj9f1emiMjOvGDRZ/2rOKJbGbcPXFcLW6mSocHW7HTyioZBDdWX5
vdIKqTHPJwR3xa598SQgg63ujbS8GI9oJwbuihIOiNWbuW6QfsEkpYGsDxlh8WG75PvreQvtmXvO
JDH09sBgdys+zhDk4HT93zYG1Ak5m6GBvmHsuE+sv/knC23yo3D15ieTr+Vr6Ww+sKOL9aWbk4Jk
EmNQePtujSY4yIR5j9kO7odzxBrluHJKTnR+5xSx5yYarEHWxNVfOUUEJq3ON5eQSyrj6QkQodu4
2WxmeFlPSyyohl+4YXx1+vAS69XStkjGabKpciB0tWSJeRBTDw2gzYXB/wrhD6369EUnHvi15crY
LzeaNufZFbqPX7Ge0coeVuuGLe2LtxUN9ouKZV40SaHjAgXYqEhGM5nzDjwIVYnYiQ8K1Hzsrpqu
/+eNVtHYUBuCZ8EyeHUfClkgOUV/JA+FEA7cxob/BT/sR637yjh1HzP00FWkNVUPUv0WcxF+YoDy
gYqixcFhgMl0GzGLZsWYO+w02Q52P87TD8bN3fxh2GjJD1zmc6avRHLvk1nO9yQzTdnNo9dcgFLN
1pP7Fxydpepkz0xTNitmlYy3VpLMfLRlpeUxj5BG/LjGhxlofQ1xLfRCPrESwAVd2GrlA9glRns/
9u1/xAMVpnGPceoFKq6NZNYKSraplczXeSCfvIKMyc7x5QlcgO01ZbFagHkR5W5BsuQ48SjgM82a
DZAQ1rOzbHPl3ZtqAXpVn+NCQmVq1KF3Mr/zUE/EPMixQWy8dekIqc3corLo5g1VK5CnidnXeHNp
YYV39WerYv1rVpg4jQubNs6M8HJEHNdeQEMrW0YSSRTlEFrhTPc+jJzQ28emb941ZhyMnDjEK3w/
6xn9Xeg1j22GTODQQyhcLtlPtMmhlyJFvkULT6OpiyDexNvc3DI6GAlMVd5nKrRMntmwGH4VJNbv
QFIutsxSqOPbGvmbC9TQeHJCF0dNv1fAU4PTAskb/hyxTS3gDBj/dDTyDlCE/xF7rA6XW/swSWZy
sbQrFZwGwW3dwQzZSm+2HXWYa3vO+XVINNPjyRuMUcd4NEBa1mRN4E00uCKmpp33htQ0LSiU8uV3
dEBlwYpSrpv5o8an7Ysu9irKy/u9qDUuyKPvr29eHPn/yGF2E88CFId4mzZLksiEqZOatbITZTv2
6ZUEmjTt3GmlAX8vLFyRTYv+ePFN0Wr0yaVwcUXpCWeYjjpl9eL+bRcqpIUSAHJvbNCxyfrrau/O
cv3qrHRoZmP1We4u6UQQfhV3i61sZFfwjDaMFfQx495kRNp49HeOZrczP1MIsvl3yyiwYgU+8yTm
x/JPipa7wgzkDAMM67xAceIgLenjjkRpcRG/u6hQ3RsWR9BWbGPVLZnUGPk5QpFRHPv1ZlHk08Db
/1jZUNdCqdqsnH4frogjEWteS9G7O8BACTavOIiNPo2CJNsaYMeBYtf/L6tnGDVTSh5+DLVxS8pq
fQC7SpJNFoFxqLbJnvnjwNTQ5MqiF6jm3KK1QX4uT8Q4ti3gGsmd44aAl7QTwICwfn54c7zpX5TZ
33m8kSlPGjB4Hf/gLS/36g1ReyDEccKmjB9HdpkV2DdMjjMspMxIkx1lPi6aAY0Aj8X0t/tm2U9N
CdcX3xJCveLfL7ZbIF1re1dxXa6RvkXnK7srRtMRHJ/1qO3zKCIjHzqrZtWG9QvTSr0AO7Yyin69
hM0JwP0/qmxxo0ogZhcPFjbCd5erUEaxg+i2CS5erPRKtaCIXGKCQR2QFGB6XL0QJ4t9o/g3Qx0r
7F+Lu5BRqAW1JK58SjkXXflZ1CSGCFLZBqzoJ9QecviEUo/RHDAarAY+1Ts2m8KFHfMJiKguwdjX
v339am0ZM3pKEVEyhLgTSVlRWUcKPxYH7LikJegzRW9KbbAx5VSBETHMmjo4yAk7Kj5thvXKrYtG
m36ovUBS1GQIMKg6KQJciVXzv495rwmSJIxf/BbK6XWaX7TBtk9Y9AiwVzKYNh0/MkqSKpz+XHQt
aGKin85vDRY/ChOpqxD9K/ayoL3X3AFk8LpfZlh4rpLA+7UPoHbSdulrW44UDxGK1opQ8tV59Xt6
VO9qOiYXVXQAIob6UD2Z3sRsBWsMJ0gOpVDfW9ukzbWl+BPX7cUFWCUw/X24m5s2aTjKTGUpgyNx
SPXYVIgJhI1cx/1/AQH0Eofmfg6TPLPgngcPKuwca/Nc7p1i8QMkODzh0drchmCDOpzQQszoPsoE
UUMQmhH/NMB+udkNIWM5hnXNjGxvK8g03oQV+2GI/kqU0FApP6HgKJIfx+acQJDrL3WXfyhuIkWU
DG+cvO2j+ZFA8A7bAKaUcfbogXtiTJmf7X1kwFkzdu75wraX8MLwwHrENNuD49/2MIZqWNKxyrvz
3rUxXTjxxF6YNp3I270UAwwlU0zk8qkxuCEppn6IMX8GMRXNZyg2rsAcw1i6sG6+N/mVbiXGaATb
W3kcKSvch5yVu0W+IXPCKSYAN15uJBOnxI2SVKUKFxySKQpYzlj/0obJUJ4FGZRgje+EPz4i3zhq
fPUrHaqfA1rx8T272v/3ow+3V9EOgH+MYXfEGE+Gvq8gQI3mljZ/6O2mubVLiYOgJbTpA4fBSRrv
xkgabxG40M3XREpIUtiSCWiP5l8iLDS4xRBRtZFTU3q9kGJhyz/Z9adt3sl4JMPzCGv+W28YyNxV
reKtRa9ilF75c2d8tiUb4nfxigzdKTKP8SQUWPjXjN1AjwMgB4CiUx4vXzYMlWSkJIIkLEHlct2P
26r01/iTueMr/rOJZX4s+wYtFMnFeYYj4u7exhnHsNl78Lw4JstOJiowQT4zlh/FWUDYE0ZwRv9i
n5+Mu2h0PetkEp3vC6wZSf2y/ZtHHkOxD6ZG/z8+GvXR7bz9R5ZRQlYZEVrBpwxNH7nvHmUpL+AI
ws4dZaR4g7KvPxb5wxvTCR/nGYXAZ5dQN4Nin+5ICILtw71S3MmfoVVI7V9q/IhhrGAI6MyUGR4j
Ud9NzOU2cOl79XxMlm/P5X7DAg7DEAjJD2NCTIVVqkP/Ykb/4bZzejuLaLb2TJiDa+tgHsXquE3G
piuashTTYRMMxXxdRUaxEILkwspRHLsPKzlhIC2EkRetkMIF7dusrE9Y9hSRL0U9dfrm/THwwAZB
AIQl/NEwLHSzM2vZIvpef2ZP+Mn4a1T4w8plpg4uzxpW7beyf2YANizOpPVEjGgHqAQzMDsAGjUf
SuedclBRVFAIi+hwD+QQFxIbPQsDvohBEwTK8H90Q1NEyUv+wMMXUXVcwWXV60I/8c2d0bkWOR4b
QC3qCfBJZ5iu6jyTm1LmY4Y+So+9a45YFMxE3syYnbKOHXS3y0o8GvC2qoBewBEiQumUIkq+Xq7O
2lzi8qZi6d7KoE7+ZB18H0WQ4eF4MsViKB2Qcq326AmyJgvoh7foJRAOxF7z3anttYVMEdIhM4hv
OVOsCniugFhaf7uapFlv9uB3X3ztY0T1VtP6kN2U17iFj3h22FJQjYlOsO2CVcZUemZRquKFmzrV
0H3M8effwXt25JNiTpX+zddoU1dgEfroH1k1uLggiWOGOuVlN3Zes3fOeiX5w2kA0dz2AhdAAyLu
8E9dPZ41ogImxT/8Q3suIKQ5LkdzS1kbChOe9gOdaLkNSxFJfTHnvuB+N3+4DvoaxIKfrD/B5PF7
DxRURsJxb0flhQEcdRWwJ0/HMw6ZmaCaWHvRxgdj8hXtLHUw4XzC8P2xbnT/eU3K0OnqTsfLV64B
iXec/vgA2DRcj8cquce/CiGEYkwzWjhxClMW6FtqK+u89vsuJyc1xnr2UoCiawRKw7929LF19FTq
gyLEbUbmn61A+jAxznA/xlRe6Zf949OZLEII6yeAJtobxzbVjzOky4ZEeqX/XbCE0Fg1fOJKEFnf
UDQXX/J89rmYrIKQEl/K7QPv4Cqqh5+sZ4Hy0wunLWnR66piFNrDtr2C9DXffrnGZi8+PYICJXyL
h18sU/gMJThUZhR5pUYIJTRI31+GPHGpJ+VnropklWyeSSkX3g/qQg6OhmBRHvzqzTcCLw69mAoJ
pc1cbbCCQ27ugfHwGr3SgRqHcvmTtTq7sMWGFFthn01BVHRxXS4qeixuiNfpQWMNUEFRo8zDOebq
J9hKInJAXs5yEdP5EfENdnX9Iw3goUlVC/obfLCi8aVOYNNitpXu0xxjjcXRAKtSjrv55Xj3CjWY
ubAYQgvGoXkJ6jYjS6/lcxnk1J6n60wc/BMoDX/niZSt0MZ0OFiHQ+RhfO9eEicHytJkpcqD7lv/
u5ZyamhlGluHFkkaMm8tI1kHF/2CpDPuoArsFTLJDWgSdNcdJLnwcAxIwwUk/CDX3wWmxAE0MUp+
ePZwKcrr25qyhTu9QqM6PYoWjulTKSgzsg6Ol/cDo6CRgI+9s48maYqol19uo5VVr+5bhIQKcWnl
XciZqM0EtCZ1Zi/7G535nC+Z8/XaX2GeoXAKPcejqC3yoqtGXWFT6cfGqZ9GMZDB3nIwkFByf14K
gUqiaz4K9FQlIwk/maHVYMeesAONj/fWy3XGsQgVonAVHv8Q5HgpVQ7Gphn0KB4SdqqHZ+LJ6EnZ
BNwvBX+IXhQw3M+WEnRRCsI7UZf1kkvj66/o7eXt+AicJZCWbwtfQRVcXcav7f/kW6n9w3IYHLT/
sC9OZ97i41D9KLj68mR/7ibNVWvu05glmGeQ3ZHV1jWbU+0DvSG6+MO8xI8H0eUzO8veKZ7vwgFr
dYJdEpiSb6g8cu5uuUCkyZCJ172uRRaHknKSiuGnaIcqFIIrVy2+3Cd4/9FZSXc4G2dkKDJ0GF1r
WAFCoUJsnkzXMdPXk4DxQjycZUwAOo/0N48xj7lgmkARx0XhuYgkD5uwvpLRHMquWU08va0ytxtT
BMMoWg6o5MjcUtl0QxfgkhHmE+YnaToT33FBBrOHyeTroVdqT3bnQ70wNHvIbb6jCW0fFoVas6v8
ExqusIASktZeHn4eihwFm3SI5ua1NsPOnMeJLSp0Q1ag46Zw1uouREGm9nrj/2Fy/faBlliM+JcT
g3k9VcetsTwBuR02Kng2rcvVUOUWE5ZBnwrT9D17FEbpUgZLcLhd8jhYBkn7qBP7lBRWBuDTs69m
2fp6wru4SU6yh8mBk24j/K5qBfob8sXGu97DopGxtJ6MeUZHF6Rs8i8ED2ZmkLGJZ+JesI2Ad8Ld
jyt/tzandFTsZc7rS6iuWPkHycUq6dfE5vmSWkVkFiSsR3Yvr9hnlZjgfE/4wRF8XHR58z7yF/kN
EwYKrhP52E1xEd11v86PJ0DaYiI3gZ+DPyT0FNufhqedXYbaOa0WpXrJqV4HeBvysKkZRRDknf+V
QRzKW6z7c7yhdQCk+hiEIRYJp0XcsEI5ec4JDY/ziqyjQo95flzAIBqXje8pYMukiPQPlaJvZwWL
s/LrUSDUdtJJX2KCwloxsHHDbGcox32mRWbk0LS+vv3oFDwFDF5yAESHgH+cRN8MC6xJtKT2b3Bx
lioRtNjoFYPKcb5qA0X2RR3hjebrDU4Utu4T8VgbPUFPWFfEPK3SCINiggIqxf9fWc12NMnCdT2o
BWU4gSlcTtvNQlv6vpf6xagwKX7l+ogWNcYDt8lvlLFfEU6GdXE+IL55CAoXHlu06hzqZz5VBdNH
Yi0txgwd6yRIoqLI7XrDJ9ofRRaHQjGyEOjbHwX746ca/xBF7Fnfl08wgHqnc6vwMG+SYqfCxQMl
KS3F3V21oYcpq5XKhUimvco8uGEICOr3GO/IekmrtP4eNQcJXH1BHANMfGSXfAIScU6FRDlMiTeW
34xZD0nfSbefghSBxcWEIlj89KPtdcrviI0ZEieM/BbGZ/1EQtqgQEpXuIt5GoKcTnQagg8ewUtQ
zE/tAQTOtp0CmtLsNTVs+CVEa2zXtW8R/8BU2Hg968Tqcv3/eMybaRR/4+gryBceRd6G8ExDjUK1
Pc2PICUyEXHnImAzhr8lP4Xvy6fXokMoKaOyim2xaY8rU5j/krFbpOBCrGG3NiI14N1xJ2h9FRFp
NOMpIMpCJKinnFuUoVwkCDxi8BuE/bSIZjFf5QbHpIwoSrJ61cbFmJnchTKBAspliYqzCZinoYRu
SFoMR038/xXrzUxltVtBEqUG+DjrQQRDDhfhcDH8qoG3Od8GtvFyCu70YcTBGYjP9P37PNz/06DV
KHM4433OfsM4WiYrdeIikdOeTTHSTRWesSx/UpNhilW1lkMxuIE15Y1cOzG8dbTwg0dO7pmRDvGT
ocviBjqL2eMwxAwjvb3CyithDfkuVpuDwvwCDUS67yWZ0DJHGeqES4DotxawawvsvICU1iyvcVZQ
OvU0Y1F/B/E4IoYDEMHqmXMZazsYdlTOEPdj0Iyvr7TlG8xSyHxtKJ5+3SY0Cwoe3jM7CFD1kW3a
lHILYAcrq1D4ANkWzogzoEewt73xzfPzKkiE3X2hx3lOoA65UcUK5bUrDN3xI6GnLDo2/MBzgA1v
Y/ZJ4czEmbyMUOPivSEr44fg+Au9M8ZrXaqwI76oF79xhvIciGN7wSS09nVNyoMQW/jWg2yNAE/U
k/cVLUMPAcLNIS/i/ywO7wUjHXRtA8ZxyjVjEnoslTW7faioSaOzfA81Mex92fZInVAWARKi+fsX
0mgeRTrjC1+w2BFZL+6tIi3yHBbav5f+Kozk4x/fH/9r6jhK14mBYlQ7ioRwGN1P6cMqZsxvEqsg
PT+4OTZ+JH6l3NsQIgf8Xl/wZ4JWeLZm2bpDL7rHrlOJ3wf38vkpYs9XKhnspaTnUaJLiNhTMkAq
C/y93W3hZxyUytLFwXoAJr0jhCxbTvJsAqPHqj4eKzCCVDgZpB2dGmX4r78u374Lpb+fwv/Sd5eE
HGEmF+TiOEbj23ArT2cofj0WOsyV9xwut7BZtNCcRePsmzvSsTFqjqwldfXTIMFOPVDsdv/Nm1BO
DxJOojzw5BXuSiUCaL01u/3885Ssdfs+LbYpLSgUpf8T506W8yaZWrUc2t+pbHK9r2StYLk/Zbc7
lJLbsnzYB51qlZzuULJ2aJmwwiBOWtO4LQwkjEtqorVkZYqF0siXj0kGbFUE55UmtlEtWDrFmEg2
YiX1Dehm+spB+8Qdc22mDMwXl8OQ+aNo+SyJN6CgUaV959lN/+VdPh6blJuUyn+8s0HQw0xd14Vt
D84FaMIkVnkG4FrwSEMMxg4H8QoPKgjxVGQVkcRiDg1uEXMiRVAeThMoOBKy4a5zyHtk04EjbjSR
rNeGIchKYF7Lz5K3rAbj3UDvry15Tsi/1/7knp2driLBMOgYO/PZza2qAsOlOPabKaFBy4RHtlZh
fOQ5N/75lC+K1UhILpu8cb1ufeedWWf3sHeo66G4rkGC3Is1LNpjsNOBtTfdmHciFGZnqtRGpsCZ
hm8iULKjx2mnpWaeoNbKrLJ2UwuJFn8ZLWta5hbWdBrSZOImNWCaBbRNfg9CE+xTKs0JPgWyvBxE
wNPmDH9fMhVsUQHIj9YXQuPlj8zYE1V9D4E3EGJbA9vqOqGTfunis0f5+HHI3Xy4dPo77s3Xq680
D4zTxY175LLsYeoesTwA8GwF26TuTflYuIWJxMoFiBx1I3DqgURMnDXIX9Z9MbnlYWdETSpHGYAy
+qaX9Mx7cocdv3rZzVJAU8N4m8qczWB5CKOYRKDKNeOc0ZDtdgWRTipeopPrEvy4IT7PmY4Khtxx
1R186qk5WmC0HXtdFp7z7/HLQc0Ywze5cApMUqdSVBZaNRgN3LJNXOLxX2G4Hk+CQZbPwYr0GD9s
JtPGlCyTWJhEOl8+XNrcuvtomQgG7ExCUTxeOxZAYV5M4vsqVISbvSif6wV0S4bcSOwYAvU3RkSB
GXPH7gaiOyVGgSbOKDVsJ7AWOuyw37gwD5ADY+I6oZJ4xfPhbN5xNMI2xm6JUxpUnfehMVpRaM2f
9cv/Pm4ispOCI4vnKIbYdk8rFk8uNDmFa/jcBuU/PBIXsQMwnPtfDBhQeOb/aQnRievuL5/YzFwv
JreL7X1L6ECu6FyAFwfie1NeJbmvi+IahwCUSLWWB3sjcxyy9xm7FpKOpELubjGDmO9zsPfiLB56
vdEruDUHTsHhPoJgj8hqjW+CXOKG0M+tmpTd+epR3EN1B559jgE1cp/rNykFNm01KW+l8zy4eFms
3KOqGihUiMx9cHuNuv4EvePwRogLEVngOMIsrwXc/wO8K3cySwpnsy1sj0CrwrR5BPkQgBXoL9DP
EpX3hPni7n7odTJn3GiPBOULHwTpy4x3bAEiOrnlbW/M7l5Yt7sMrDJ1jwWkojZNvdD42sDPGa7a
/o5vAkfbO383jA1zxkyB+akyn96prj0LRCao4UAuriZcSaMXJEwZ5JUCfGX6IkmlD3x8dzaoawb+
ks73LiuimM2N14ClBQTNBtP0UEBRREMEwmtDhT4vXw+//QCaDfmtSQTNMj8tZAZDq6WrVfPFnpD0
H+WkQYQhtky03SOxgoEXTHIfSC4XvtXqi1d06KZC2OSd1HVVwdEeqpq1ZFSZO53xVflIbQ7VnWKe
7I3ElP+MVLHtUk/I7IT76JXU3JXRGbyVFZGsS+tGoaerY0ZcmFfhagQ7CbfQdezfDxOHbjp25y3d
B68ozM3mESRXCwsKgIW+R72QfzI0YRtUo2l8d5qivaQYDnFpWmXg5bVocVDWJo2n1iw4n7Bb1qIO
30L78NXYSbWIOR1bj3cDHstUtmjEc96wVifDfNyoHy7SO9xWqSIwu5gkfdNyPZdzNVblZPBkXVih
LLWhN0300JZbMlaagin4na6bHtHFu5tm3dHCHXrzFrxdJ3B5/s90EtK3BWciBmiGEcCq01E4DuRL
6iKVKWTDADxGAgwF2tbcceK5pYuCEKY30y1Aqz8U21nFO4Jay1df5iurKc6ITbiZqPPPpOIrkQV6
SnjuiQEaxwegbXBoMKwvpMngUEf6jbUndNSfKcH+AbyMVwSnjz+BJui/gkVIEkDBdHQyttNflcW0
oOvZ4GL4ceWmFYOu6z4XH4yMvf+fPJ7//bi4dWF+Bgk36trYcf/yKPHeHzNNqhQcbRbcQT+Nb0+k
EG7cTSIMB0eMcv/VHrzKS8qQX5xpFYbaJMvEt5IYb4OQk4U86z5RB05p9KENnQOKPtBO+hfDKgX9
RDVhSzfNWxJGwPco3XlNmCptw02Ij1w2Xy0+ER+kLT14ARQJAj1jnZJ14oy7aT2w96MMbKu9M7JY
E64/KeHct6sHGGQ5A1S8n6emuB6wSX5BBkoWsYbMsXsp9nFvbR0oOJyrUd0NcekxWOcBsa1NF7rD
gzF0tbEtUJmnpOG4yIckEYM0Uum4hgV/AHf5sxzgorEA0Jeg435rncyShGDxzeiAqfDoEZrQUgSj
Eil74oSiiK2ojSLYC23HJnyx3lUKY5u0bZgtqxkSuloxs436lv/mvds9szvpKpGDsY8BmQYDBN07
zmLm4nzW0dhBXrz7wA8IOS8kIWVe2JwM7kKQ26kokeCyM0AXrxYpbjXm1mC9Yjm7zvHMRIDf1GRL
IVF6Ab9H/tQwzkpXHdaorirfKXVfl+wZCBlH1bjQx6YtAj6MtHaf6Otwzf3roe4xDfYGc7tjCy/G
gqxL5AU9OjuwvZCOjc1i+sofR3Lo57PjC/io1CTf1C6EJsKY3bguIvTTCqt8tzuIwtdBhkgSHNP6
S5UhYlHQUtEIyB587dQt3Ho+lQoWWeAVU98q1kMHkjxdITqCiZfItxETU/qqeayhyZzW1xWiloBy
Ux/Q/nFnFVrwRu9LOkuH1bsGLiSNoeM9EDV51kbVghPbCCYngD1F40TWDQsbUYt7GY1cxdK9ISDO
m+DHPKGMr9qbkac6TmcfslH/HhMNfYUubV97H6WTllQHyDf0QduHvOoJ47bMUWwYBJT25Sd3Xx8u
aRdOpPJpEeol/r8ilXroD6W5F6OzqLzjhg9n7uE8csmj1VRuU2whaIOSLWll+uG+7TbGqZw/zZZE
9+yxhqCykyLtInuvbOJlc+22IvXnUEy+d9w4+GMvPWCJiagJJIlMBwhGvkROV7NeKyt5Ffo60Pl6
t2SaXgXvLkLJMRW39equ7WO7Y9CivO6Qz1zxYmTD9JE8Gjj85FYqY03bQSps8BLyHAn9NkgWzcOW
MWYB+tKGoUrRhw2TMPuNoBteqi9HEI4duZ+mlaWoZ+6jwp//Ld6z25RGO38ip51+53MTn95Xby0S
NcK+dhI8i5ACcTPEfh8/71RyIBHn3BNrrh8f0i6sl4H05ozgBgkUGxyO9onkv/jyz7UVywuz9XwZ
odUjTrAUDs8pAOAkmwXMNdXS4Cb0beNEgG+ENFPoEiRmOgXmmpiJg6f0BKzODDCGdOOTis/bFCt1
QgapNyTXEgg9GtSXq7LSkzB4hoRIQV3myxLb8V51WsQDrwSAxgIP83K9MRTpv+bi0dXY0hfYsuvn
WURS7QnxlJ9KGMaQqbXYzv/ru0jUFwD6WIpCnH9cplrq/AHx2kHXChpV0dQFHiRUvfb/FwFmn0pb
OAsUukv/DindSs6Oc00WG4lRJN59j4iTEdDvGm4bb6DWzSWfFNj+xDb2cgBJMIKPKqIm/IUyqfr6
Gcv89L+gAOqw6b2ln5J5TfPkXqZ5QjRGR/OC9WQjbKRvOUuOIXRan5/LO1gndIPhTqrwaIUopZbj
auf7kg8K9MC1A7cEctocE2R3mgX6caIXfDdEovQB+ySvyQwXyMNXlf89LX1dNi5hG5m6Zzk2SypN
RFaDizKER9zn5tzswdizWS21hOYh3fylR4zqThnVCXINuntU4hSfp9LFnPab32EAhrAWNBMTj/E3
rdOnzQ9LSuqyxpLRddGpA42KrPlk2kCrfWv91kQZ5TQDIP4CA+k7PPPNvfaCVnLxVDZ7C9iXR5c7
pVTDBrSvfsWyy5W45+PvVDl8HrKVTed1PEdWsct8LBqpVPxuzCyLPpuobFd7tJ+QUuvLOoq+IchV
FhfkohIkxRZRU7bqwPrQBnSGXaI0z9stldx0kmlV/gHKP/eHOb8AXRGHtY2x7cvpfwLBqjcimWHj
xTU4sAdsSFmmZn4jEFxQox9W/KFelPbIKvWpZufP3+LVClVdCdJMMeuuc6e6XFztKIAnEppQl13F
1oGfvG8s6/p+3eCf4Dg5vElcVHlYraDAwkGYZkk6uCwI+KzjKckTWUPriowpFinryftX2ciNOr7Q
pUiO+tjS0vpRiDOBTmDRlRyzMl9sEMDgUKwUMA7vcy7SEbTu+tqtxsLKHvz5IqavODn/3orcNHJz
S1gboa468FE/qmWcA7S6VFTxFQZ95h01Ekh69N4EqgmxnsixEe2I5Sa45VAUSBRG8tvpT0adRxqj
mmKyWwYGVS4FcguwjqXXX0iUDcvuW3/ZrwljrS88DcVEJ/K1IGskTAmr3rdh94RakuEeSSzgU3Q4
QTZ3c4RmLQmLbfe3RHEE+ZAcv7MffyeuQt2G2SxoZJuhWvhQSkMs4yzMr0pfo4iCrF/ro1qy8GbU
Qp+BYPeKiRe1syiBoufW06QeMcNa5XoPYwqt5ueQzn3+9elpSIBXyqjsw9abNIv5M/ssOYoEL74r
nPfiD0pmHgHxwKQC6B41eP59VKLmcNF9j4A1S2z5n8iyM06IiqT2PFBzzJe04Z8l3OZNOq5vLNgD
s3Kl5m6p4fu/nFqt5kkfdvbxaQaNDjJ2gROhdK0inlcWTYdQpyw1Rp7znmgW2RoKdz7g5ioI4FeW
AS29RnGxCAGB/grmzfuOafPFW2xlq+jQzKm9uv+ri3AkODmFAvhjDpy3Cy4Z3mkMsfqqX9kzdTLO
o4FmDOxUQ/otIoGjkSMCxsdJ8ufAcr9SBVRscIXFTU5Q1jE75VP7ppdvjxLEUoyONaaZYyhASZx8
fwdpQvpfcXKPY8DSiDF9lFz7a/zIzP06ayiAfSPjC1leWqzwvQFtiuXAFAeuZ/Mtd9PEarv/jxNu
iQ96x32+SZukmv/iJYzOM/zAxjFGrckkz4YUfNwqwArz7M0bxvjb8J431Vjc415A2rTDkt4jeHi1
wwXWQ9P8Y8T5tWyj5C10neDjFOhFV+LQLipp3HlIe/Ca/YJbg1vUWqyXqBmNnQfEO2UmSqveNpUe
cqzxPaiL5XPt5+Nl4u7WU3AnRmCI+2EHUlhX660gEwNNU1OYizGg8kBQgC9Y7i2tNltZX32ofNjX
sV7cJDMn8nxrxOwxWLsg1/Y9Timv065Y64JBcbyIajLsZDsgWR1bojTRfZ6HbeVIIXbiSt56+wjB
R69WQo3aGB/Ha7E4Ak5CgLgBm/gzJLhxDslZyd4fLvaliQEUNDDEkm/fDH3yNDd4kqo3wGGu2t+B
FqQqOGmv3rSfUVS1C/M8cP2DovDkoSVDitwJD2BNnxd4alcQA1LOYgemGg9khsJw9JycJRNADXg+
1pcG9V/gSkQYwZOsdKkUensqb4f/8iQ6j4YY7W+pSKxj2bbu6jyUTcMWwvA8FUqLqbqwTyD023rv
TQrpZTQ8D2FJk9VEwlKe8eoaUrPVxcOk83bHv8S4t5Ixs5efqE+OiBqGAMl1W2lYtLs/X5PYbvMn
Qp6GDJLQEFc2Hjc93PNoHnxtEZ4/CDDQ3HS3og8rFaH2qBt1/X0vnZ5MmfyGeIcYKnw7N22f7lyn
u+jzDgfgxxaNYE+MusBj646b2AOQqLq0iwZDMXHreVx1h0Z51SAq+0q4M5vE9KE64VeD4CXU7LMH
exCfiTH29696/M/1ZOkwEfvc0UDC1P3jsQKehyzNnWyG2b5eXKGg1G/MTDEITys9StpXow6Ym8P+
x3ho0UKGApaqNLrGSNCu4kmOU7+ggMSzkQ1sYWO21s/XrihChkRJziiFGuefNjJeNWW7UDU6bSoL
jcoIMu3R094Um+jqvsuTjvR7kNsFuswBRc8E1zYZidhXWxfzaxc99hC6xV36rHTKCGpcr5PCUtOR
g2qwnibj+aFzGePSa2ErCAzNdXcAe5ttbjPgceoENKfXFiL+B9d0kUSgl2SBgD9fRw/EvYgkK/mT
bbgTdwguGlfTQFuJlQANHZNNt5zxYWBe7SFLiY1RDH/d2Lb20JUB2OECZlKyJKqQcx6cmokRbZSm
7GoOyQyHsGfJRIbXviZE7WXmi7nOCjwAxaN8iTcfBzmiBhPOMVxEJPjbSZ8o5bOrUPuQ284gW38S
7kHoT9aMDSVyPNLNVwhf25ZCOmAZ/zHvGSp+IblIGu0VhBr/ME3Od+4yGMSK7rwoR2JwRMMRf8Dl
4Rd/vLvlUMPHQffcwRMDh06vgctL0JdVfKGMzqC+GnOxAgLV+0Cotefb3pmoNUbqX2DAa3t7dRNL
Md4djnCd2Sun5oqAUPiZ412NG7qqTq9bIZx1+l45EdgZJy0EZbkENhn7Y8Ly0BTiU3Iq02nZKki3
1wOndJSYzDu4GBdenINWirUjaz74BJcq8Jk8FI+gPdhK05fwPaXdsOSwh364u3e13LSwUZ/ekTt0
isKYivY1vSm2IPIXFZGpi3WCa0xX+McGFh02kS6aDwkLDX6OdCsc+LOPGZt++IzQCE93sP3t8Zdy
urL+eXM/Hhcc5P0xu7sTR+bKfgD+YVNy9BQ6JrEBeiXC+F1+nqFqCCLE0NwTFVRWJ9FP4VlJgj9n
ho6cLe3iN4iEEi+IU12l/JkqKsFwtY6lMzDhUQBJTHE3wutAnW2wxHEsO3CG7496FwUI+gUtevv5
AUE+XKZ77M6MYPy4w3cJJsHeA9FJamLg2OK/7ZSYU2Q6+zE986eGFlFJxbIyFhyWLqR99rnBekzf
u12ANdF8phm9KozwHWgzU/lgw19Qem32bXLEItnMmKpzWR5AJEUjlPDTUA7bn4AJafHF9z+GY4E1
gX502XsgacYrnE3PKhgn1e3zwPB1p40OYbzeGNIN1YTHPqKG32MwDyvz4BrL0O4RxclyiLCQdKEE
AtJWWAMwzgRJwuRBI1BHZqYEA+SFz4ImlH2GEeo9aaFVehl2/dwMvQMvTNsQM1PO0Y7Hjo/vTVzX
e8N2q2GY8es0IhA5o1TqhCQrNSaP1m7U2LIiXhmNQDsosnfayIO9r0lclZxPiF3AdQ6efVClps7+
XPuAxNUXYYR5nB0H0qF/05q4yCxY9CCD5JwsIDgcHWZwRPiab4mD7K41vukIgzXV43c/T+1ttx7y
0fPhFFQ01xvpHJjPmTVWd00TtK+XHZP89YeLdqKZkH2UdNOfkElJexWt5dWnipiQaO+9z+Q97hIq
QRF24OyJttuDyzUKJqMZm3CHPu9cVNb43MAnB8ZnfdhcBOffBUPoQv6Stj0X4r0IthgQyJCwNgrS
7ObMeGGxQlDEbM825CtQVDfdQlfZ0LDMU5DOP3pRUmH0GnesjGdiGEd3EyaUNJt2F8TJR/I8z/46
YFfEt4gs41hbxp5NEpR+j5r0gyudfI2nS6x1+w9D+rUALETK3jRcDJkEwLNoFB/z1pdPSqPiUKIS
IO/1LLPq38z5+TPRY0sDyTEUPt1ew0ors98q8TYjwWWO71wHrKH8qCEq7PF6AVdVKvRyUV7UqiZ5
VEYd1LgAbeWTboK0rz+tA6wdv/eMob4vmzFsuYZHU5b7Ju9f5LJUCGZaUeFJRgHS1eir2xzdLU3M
Z5CzgvoaGospvhj17g6B/HZerhi/NU+W7w0uYCN/PE6CG3eFfqR6/zEhPm9ypkyJZgRZ5eArn7OI
jISDbb2pYv903liiNvGKrTgaroO4ijPPXavug/r5VcIOM8YgXPqvkFe0WCDoP9Ys1YILK1Yy3hft
4WvUrH23KpekrtuESkLC4bPjJR9EOmtnpM1i9DvedwXJmc/u0d1ZH1MbVrJ78qjF85dktta4deTE
CsW8+n6AwQ11xaT2HOZgQjz9knjCHCWcBllRoG8d0BMJjJL9feEudb6UAMBnm1piencR+jvvrNbu
gCcy/fPwodNZ5ehA
`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
gI0Gib0Xo40tvaTEMw79aiJH1u4YEk6HVdqkbeCop9/2waoagY20R0hBuYHx56Xi3cH8QWvex6XO
QV3vawSgqw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
KoS1rv1CFUKYNXTl71AfETT1Kc5fYzKPPR0kXLN6Rix83Z8+HkHQ7xAG+RQ1+wYFYntMPFYXg+xl
jYaYcsZdTVoy/pFQfFzFzIHMvEDyhGlxcCwJE1Sl1y2uiMCYwOlqGqbs4oqeC3o5WmQMaISJXEot
laofg7eBOKIh5zVQBfA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
nvHBfVLXEIDiVREK1ZtlLrZ7D2o8+j0PfBQlUywpqi0LlzVpakFF1+4oQpQsRCjkU6FiWgvIYEIQ
xF3opsh3cA0gI37cHXNoyxKcLQxiBb2Dt5ILBIpVL/2lp5QxYdpueQnedGu56neNU/SdUK/337V9
TOPZhdfOWs0n9NO+6sHptKi0VUrQEbTdLyOPdpIvhpsiYtlGNt4H6j4UrXNCHEXrsRFrNNaL63L6
8A9bRCIq+R/MVFKYc7XGOwzyv2NvWJLzj8pWBtUQtsewQGRMkz+zKhrZYx9Pi6JkM3pg7prL1N2K
nVfeZOjki/Toly6hp2nAp6bI1GZLcIhnkXFrqw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
vERJPdx2yaiBZPvdkozSOrF5HOgqt7Ky7CQ6WmgQMDyJGvZ/HgSlR6X4yONOLwnio7VEgT81lblo
CsCnrdCzOuuwCgG2laf1xjkkb3zU4ZQnsAe32Rt5/hL2J5hXn3Xe1UN0lqFw7JHTWR84WXQLd5x3
SJohMIaugOcLRm0nptQ=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OLi0CblrDwZ0QzOLfc6fg5Rfw9iQF5lR1whM955YYKGPYYzsS7ozaU9fzcer/htJu88wCSAm9nY8
GwuyBXZYHAoEswCVjiHm/hXAJa4NSpRD2Y0IH43uSTW82VYmzpSX3Xz/hdynoXPQj7/wHKIGviHF
4Qv/YOhuU5xhwLsOvbflDS0t7ko6BuR9Y1fE2WdiWwm5DsArRvyqQP1GnbUDsot5a5O0Vfi2wkaR
oCNwOAbu/aYmq8E8iSeITBM+rpWhbyJN1xVoyS5ZIJxtCssx8Dk/FFoVwDgQbYhhPf4acGLSji/8
HwxODCLBNkqFYVyIfL9F+3f0FF88Zz0Jmn8Frg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 24864)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
gI0Gib0Xo40tvaTEMw79aiJH1u4YEk6HVdqkbeCop9/2waoagY20R0hBuYHx56Xi3cH8QWvex6XO
QV3vawSgqw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
KoS1rv1CFUKYNXTl71AfETT1Kc5fYzKPPR0kXLN6Rix83Z8+HkHQ7xAG+RQ1+wYFYntMPFYXg+xl
jYaYcsZdTVoy/pFQfFzFzIHMvEDyhGlxcCwJE1Sl1y2uiMCYwOlqGqbs4oqeC3o5WmQMaISJXEot
laofg7eBOKIh5zVQBfA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
nvHBfVLXEIDiVREK1ZtlLrZ7D2o8+j0PfBQlUywpqi0LlzVpakFF1+4oQpQsRCjkU6FiWgvIYEIQ
xF3opsh3cA0gI37cHXNoyxKcLQxiBb2Dt5ILBIpVL/2lp5QxYdpueQnedGu56neNU/SdUK/337V9
TOPZhdfOWs0n9NO+6sHptKi0VUrQEbTdLyOPdpIvhpsiYtlGNt4H6j4UrXNCHEXrsRFrNNaL63L6
8A9bRCIq+R/MVFKYc7XGOwzyv2NvWJLzj8pWBtUQtsewQGRMkz+zKhrZYx9Pi6JkM3pg7prL1N2K
nVfeZOjki/Toly6hp2nAp6bI1GZLcIhnkXFrqw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
vERJPdx2yaiBZPvdkozSOrF5HOgqt7Ky7CQ6WmgQMDyJGvZ/HgSlR6X4yONOLwnio7VEgT81lblo
CsCnrdCzOuuwCgG2laf1xjkkb3zU4ZQnsAe32Rt5/hL2J5hXn3Xe1UN0lqFw7JHTWR84WXQLd5x3
SJohMIaugOcLRm0nptQ=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OLi0CblrDwZ0QzOLfc6fg5Rfw9iQF5lR1whM955YYKGPYYzsS7ozaU9fzcer/htJu88wCSAm9nY8
GwuyBXZYHAoEswCVjiHm/hXAJa4NSpRD2Y0IH43uSTW82VYmzpSX3Xz/hdynoXPQj7/wHKIGviHF
4Qv/YOhuU5xhwLsOvbflDS0t7ko6BuR9Y1fE2WdiWwm5DsArRvyqQP1GnbUDsot5a5O0Vfi2wkaR
oCNwOAbu/aYmq8E8iSeITBM+rpWhbyJN1xVoyS5ZIJxtCssx8Dk/FFoVwDgQbYhhPf4acGLSji/8
HwxODCLBNkqFYVyIfL9F+3f0FF88Zz0Jmn8Frg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 24864)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
gI0Gib0Xo40tvaTEMw79aiJH1u4YEk6HVdqkbeCop9/2waoagY20R0hBuYHx56Xi3cH8QWvex6XO
QV3vawSgqw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
KoS1rv1CFUKYNXTl71AfETT1Kc5fYzKPPR0kXLN6Rix83Z8+HkHQ7xAG+RQ1+wYFYntMPFYXg+xl
jYaYcsZdTVoy/pFQfFzFzIHMvEDyhGlxcCwJE1Sl1y2uiMCYwOlqGqbs4oqeC3o5WmQMaISJXEot
laofg7eBOKIh5zVQBfA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
nvHBfVLXEIDiVREK1ZtlLrZ7D2o8+j0PfBQlUywpqi0LlzVpakFF1+4oQpQsRCjkU6FiWgvIYEIQ
xF3opsh3cA0gI37cHXNoyxKcLQxiBb2Dt5ILBIpVL/2lp5QxYdpueQnedGu56neNU/SdUK/337V9
TOPZhdfOWs0n9NO+6sHptKi0VUrQEbTdLyOPdpIvhpsiYtlGNt4H6j4UrXNCHEXrsRFrNNaL63L6
8A9bRCIq+R/MVFKYc7XGOwzyv2NvWJLzj8pWBtUQtsewQGRMkz+zKhrZYx9Pi6JkM3pg7prL1N2K
nVfeZOjki/Toly6hp2nAp6bI1GZLcIhnkXFrqw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
vERJPdx2yaiBZPvdkozSOrF5HOgqt7Ky7CQ6WmgQMDyJGvZ/HgSlR6X4yONOLwnio7VEgT81lblo
CsCnrdCzOuuwCgG2laf1xjkkb3zU4ZQnsAe32Rt5/hL2J5hXn3Xe1UN0lqFw7JHTWR84WXQLd5x3
SJohMIaugOcLRm0nptQ=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OLi0CblrDwZ0QzOLfc6fg5Rfw9iQF5lR1whM955YYKGPYYzsS7ozaU9fzcer/htJu88wCSAm9nY8
GwuyBXZYHAoEswCVjiHm/hXAJa4NSpRD2Y0IH43uSTW82VYmzpSX3Xz/hdynoXPQj7/wHKIGviHF
4Qv/YOhuU5xhwLsOvbflDS0t7ko6BuR9Y1fE2WdiWwm5DsArRvyqQP1GnbUDsot5a5O0Vfi2wkaR
oCNwOAbu/aYmq8E8iSeITBM+rpWhbyJN1xVoyS5ZIJxtCssx8Dk/FFoVwDgQbYhhPf4acGLSji/8
HwxODCLBNkqFYVyIfL9F+3f0FF88Zz0Jmn8Frg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 24864)
`protect data_block
DnS1LK4CmaBjZjTxOeERHjaHwcXvD0r4KcrqpJ/rZ6XLLTImjr3uAA+FglhLaYopLIYsezMxIhj0
KLwYLWgmIj+FNBFfQP19aqAnxZxkiW1adU/rm6TBhiJlHPSl6dq5NxrtlqSgZfSugTYpk9TDdsi7
GyBShNgoLwXl6PtsxXrUEuztizfJTtMCXmWRcNT/lqMMxtVhklEZ8QPaSFVNTs3AAfsJ0D2VM8a+
ohWtvDJCfUzFTwwASQQKhBM99ZYXz7Zfxsw+yhPKiqzlyvJTHNseMxAG26s7TMEmAzZG718ra6rI
Px3+sPh+pu3W/4/vRcq5yLd9VmwjBpyMvqcyIcOcRDtwAszR0hbZACOPAAmBvSrZ/Td9CqvwPGcw
uN9pceovCyWnsBEBCO8YHgkltjKRymOTCyQEyy+bRk52Vw5P5x3Fy3HYlViVNmlr0nT2F8pomPFt
chx3JIs6Gw1DlWb1xhUEBYw0XcMlTEtUt0ijOl3+B4AZYXYgfSOeaO6owVKUUQOLBCGSx/IemiF/
OtcKaEGK1jRMuvCDQ6gOWnDrpAvv0aoBhq389vxBJtt4ChZa78crJNL7Nidz6XvkAW5qBIYZGxjz
kFn+xtN5U6+odGOOl22X7r6kzLcxY2sR8WQxfNu+DJKxd2v2kabot1JycXIrNaY85E739HeGVzZj
SIMhoZ/PpBW52LHco/BbcvWa4BorVOtu4hEkvJFJ7ZvSMyFwYf+k6/qJiwL3Nc/IFlJ0s1vzD8qo
EzoUaZsfXYpJ+yiORx1xJYDJnABNx5zE3QcbT57AHDVEk6q7bbFtLbkBbKgtjafmnZmQfKeHwLFH
vIqw8koF0Oh1P7vVOv1x1tFsuC9+QQNTeluYVn12o34xQMYG6kVGXAhV6Zop5rbC4wvyh8Y4I/Co
JvhsfOgjpHLRHkDRxuZ2d+DXB8rbCHjrpgovb7x1cG4x6WDMV8AT6+v8qpvrv4acxY6gOgSX0/hn
QkGjMslsTaXQmcvRGLjrxOHElITpvGSEBH0G6lczV76a2KKMSD2tKaRHTuvYzXf2TNvAPauWeHw8
LBQnto9lyEusir+8QPeBwtQIFF1n+npKUkl4puEAgCXz+eJnu/VNb0BlIl+kp/6yv4ZCHL+KL1ZX
lnUQLWrHvHHkWHZYGi+/vWLdSJ3j8YzA4dw41Q5O0vPny4bADzXIDbob2PUJx3Ijs83OWblhu++X
eAq9BnznRa97KoY53qvLNhqoZ2XUmjdm+JajLIvpJGGKhrBhJN+mUiu1MqR0sX++sIimcQa0ucZj
DIijmldn94RVIyhOBPvkFxCa5bZUgZg6Gh4MfEhZ/DOqxRUFTWbasiU2RJHx2kR8mwKHGkWZ2hqB
UlJiFwpfivE6+TX9iSqTQ8geDwuTITIvZLkPYWIxvc1so1NQ6utr9z1cNkv2CUp7h+7qBx9hd7Pm
iVJsKb5fdG9IMXmiz55yU0aZUuBFtDrrK2AxpG5Y7uOQOnWm8mVMypmmbyMga5NvO+qsusjjy7e7
c7a4qMFC//C7od7l9s8WMM3z0JTZgc1tNTilDZ4KQhMifWyfGb1q1MgqVMtSSsLbWiHjYn9hkULb
LbKfycVIx9y4OlTjETllTRVWsFN6sQhGeG6ybhxc8eRF2cx0Qoa3f2vR8LnDs7heR/bIyxpaJGAW
nLS7RMbGbcqWdASd/S0uWBMzE5Cdzcdy3mcftv4sYz5mltBgweAHFfuO+xCPRuHjKox3H7Awd1tM
FP1n9PVyvJsbk3LGO7a5ITFgD9mXqxlt9g2C8l1rfpLx7Dw5z5g2hZOyMBGba/dSAEGhaSaBAM4B
+7CdpijYjDc4AJvhhXceF0T/zayz6bTcog9/HxmP6vQjnMXkZtXR7NoDPNntZIwjeaBWGnpu5q7s
0O2nmgSvzsDEyP0IANevV5w9O183N9UkYfIgzghDU8d+3qrTZJdm2aYtq2+4FYPmK17ofZqc4Kbc
Vij2vxwl92V0ujB2hc7pv0kLdWw8RHVjjlZNBj7kV9y5fgoHebIIKi42EJyGd6tFwJPTBSuOd2rP
zSAOqIpslHiLm/GBddGD6wprRUvkJ2rQbKKIo44HEOXhHiEJ4R+SHw2mM7gfVIJzoLx8vx8DMJsi
y+tsLVV3k2A+Xm1Ccdkymfv2WB/36ImY0q5Ls9mN4b7cq8qjFGJ2WjZLrVpY0b5AV+JO9pv0tv0d
JSVr7iQ7wodi0dhTG3qvpT2ED/Zqzb4Gyq7O04QjWthAPgO05CqbNM9v1RtbOlSQBqZj99CiT6r0
ajMf1mDCioFehF6AhZIsNBujJe69ZSm++C741HIIhJJlap1i7/UdDSfooS0x1Qc/E0IFVMq6v3oe
JOU/65+RZzLn1lL0+Hk16+TIARlqwWVaXxxy9JbWeSUgXLwdYFJ8VKVePgJnfbD3RlBt0XZNZ5nH
tvXl6JdUzvsjRT/zVOnAUkIFIVm4nHPsah+J2nCKxXlrr0uypDZR+PQtXb0oxsgGP/UmgRU5+525
g9Z8C7qXhUM1nlRToFdzMHqUL3PYtJo6WylxuAYwj2iitmJrpobjYZyHCQ3kT6YShoHAGfeR4CUV
oISEd8bKUBqH2EF7ZfSp5KpsHPVXlhdTaEJRt6qG9nbwSjTIp4ecsJLm15mrG2OgTkhd9ih30obi
/i3qhnyTBts2f6vGBYKrXV1AFhZw6/I/K3jK5eP4q8NSoiRh9Ee88rKwR4sP14VIVII70LWuuP4o
2K4othEhLaTywVx2WgiqrFIXME6IQgb7PIU10ZQp2HCQw+vNT0GbUwiRYCh3jMccGczYTm6VOwal
4V2bjCa0EfUqMDoWH7Tw6BDGHaVzrqBbLd9DbK0+tjr/1dw5xeZtmQ6xceifVw8+8D5E34d7Oj0i
uI8WX9laYZpVPypuVMmdy+I4NfqB09nN8xHG0RhF2Bt3CWiel26xhbJBE9XmSAdvfY8I65IyxPGX
zd+3wGRYyKqVhgg8qKDeMdrhb4zv8DHwN9zx+IPZVDIZUTww7buFzMW+ChiXMZItTyfoWXdM0P1q
gqaxJyLZ8rMNq+wyGOafudcW2kIHeKXsdxvJKUB3LyrCxpyqqoRv9kwWURCK4hCqbnEtH3j5P1a5
0iYmtF4GBF7Lc8RY9lnp8g0je26kHvFMJVJ8qDej3mWRnR3xb2+XMsZNXob8vNZ6dkWgellhSzxu
bsF+wEA/QCeWY+8y1WPFWxCNcHw8KYUPYBl5Fe0v8kUx4y7OK29OLTUpWUt3EVCllO+VZ1c359fD
o4g19VfT5KnnjboNt/BRIfnaqWdDJQC/PIWkurGOlrfcjAJJqCMOJ634Ug1abvVtSDk3cqfJNM3U
/4EvlQSQAJYOVidsZXeyq4I8zqpX9BT5HseHkx0QBzRgvjCGOx+vLcwCo9UIch0brJJbiPOnXAqX
mnoIVf/wNtKRWURC0CM4ESfuB7DUeM/v3984hXETjQHwgXVEW/h06+S8QIl/mAhjZvx5e+5k5k+a
2ZIqtT50bZHklAVvwGwcLcGi4dGVayunkqyu7Gw/94all+PVXadPqyKmtkuCL03K/I5Xhyso2NjD
D1s/Q8GyyQuOMzT8J+xKc7C1wiuiLX3ySO2xAZmpD61dgq7+HB5TDzfA/cfRpasE/SnyEPGXnqMM
LBhRaqtGO1TMB8nUMkU52q8E3zFt8UZA5AsOCVMzqptbSFq962/LteH9pX5tmpM4yhtl67b24ssJ
vFdFzyUI0uPWnIHctCZlxSTTcmcFWS6mRqiY7+LpcG3d/7Cml5KzeCMWJPWuU8HS/1PlQLvI48Ua
XbAMr05igQaIIrxQ/FCRJ/CC5fCFJl7a7XW+uHmZpZ78vBu/Fp1r8ESc+sGA3gj6x61tF7M9TbKN
K7laN33A9qh1vVkswfhqtbieMi8u7kDPOY2l63ReANIFxbLYEUSOW6wLtsnV/cPS+byANFtRCsYg
iTICfXIWtQWTiwxvEl8RLPu6WB7VLxCPS4bd7gO1KFdiPlTEa+lgAJuujtPZMZRVeJ5qV6AeWaTx
T2+NSAW9f0yTMX6TLAf7LGzc3CBiJXFgaj2HNISC2umCcCgx+63x6TdhbNECaWg6WTgMNV6EMOH1
OC0Ds5XV2KOz6gjtGowNmgv7wZ3We2dxn9JdrHIFAZq3z53jpVD56IQuE2hcc6bT7TYJSyyw2O/Z
wgVeLlQcgdthaDDP0JuSQnOOzDOm+qNz2ytcweqkqPMvplRe6veSQ3KjScZiOin45U7KV08ABoHS
56JYa6edEpCHiSEBnfmVITBGNuRv7tbjin/OQlxzocIydrVjAotYMj2jhFzSGPflGqxelfTQZ9Bf
84hrc2DZ5hvupJuqJbvCnozqaqIVNnofL4bNBTV7uSedNjwhVzXygPSkKVb9M1GHVxu4IJClCAW5
iWYCxErFarp+y0RGOMtz8N8Yjsi1MOGleCtmyzKI4Wwvek4qRfsEwlKsk27+CwhbnfdAJoF7vq21
IGgul5J7O88fctxSMgLKbUuvYEgzMpnWfUG5Udt3VlPpzsbmZv1fzg0RQAKoeSyWNvGOQg1bE2cG
fujwYq7oRYmNao5/wPa6OrznKD6voDHLwdYjgpExy2KvXtz3T6mogu7jIVrcfOpQSHtUP3Lzp1p4
f3Rkn8Rr+0k4plsOSetIXeBKJ1mOHSnJVhfNqsevZR/muCmwnSdfV65n7CqeZV6Elwxge5zEs5DD
/CdYUbVkwTy9AuXxRM3JVoJaBK1VL+4o3UHXeylxezqKnZIiqbeAdE7GINUhBKaDaZc5HDlhoc7/
M5xQPXaQko+FK+1v8dnnI3toGA8UMPROcE9ODyVZvs3S9pvsCgcR9/IyJLjO+EYOCshR1aqIzB5u
T3QD0OnbSMdu73f9u5aZAqFPPeJvsGjAp/AJKuOgzu5cP2Js1TO6CsosyuYaZrzyaxt+pcCcgEvt
qxCIRS8KYwOaNxHgzyTD1E4/zrmrVFHmH98p+O7Bk/eRAtFJw0aX7d17itbkYkW/SbrrAYybzEVe
0gV2BU1holVOZt7Fhno9zyzblUPBsdnnDHVFGgUceWEbfqC0eDf7HG2ZutzTNWwR+XMQ0iqo51by
yOlLLGZSqWy/pevIePn3sWX2MMHDZXrfW/fX/BQB5O2+Uxh8GHcFlTVd6gymMYD/CVSUc52rgB8e
crwJP0wicTPuPQESnkqGdravMH97RjMtzF5suZYWanHFEWdDVPV6IDZq9z/NJTtGry7RmcJffqRE
7hck1uMbZpcx0z2vI+NFPX9h9gqleux3FBorx5fe+zy4fktC4sEhZx0VxiG3rl/treDwQ2deXQ2F
sI1G8C5yDQjE7kN4MFlev2ISPNixSUZ0AhkUnS6P3isww5P+NOB5zQGNyBrko1eAPXdlLbyIg7F2
X5LZW0MT7vvJfrKDE/fhznNGgAMoVFGB/72MyCA+vBalQtwajis2D0wUojvN+z+ejCzBC8vV8M5l
CV+FECFd4Z4AWNOGYPAijW8+viEXRe68b0WfjxRwkFGQTPMucT+qYKEuHu6Tx5AIcyJz9v8yHspo
yf3tYaF6HWbZYNBraSH4ASoDiEm7e5Dn4UPQSKb33rIMuTVD/8UjbGHQjfTdFXWz48uvxvXwVwCG
Dobsr3M1bdZMQit8yxRLxAEXqQQqXYJHbrUHgpWaQQoeDbSecNxcNwk5cYyuWgfC9afMGj+qIx6n
/EeoH158DGQwUtlYK7c2TeBX6bKblradCUe3RfiSsl4uXTDhIMM13976Bj0kPbC+kIT8zMq7DnHh
tbs45G9vKPvQ9wDP15wp7TFvsMH1nRKhma5KfA1VTmKT20VtfqozYac1juUybjpC7ffOftAdtpkv
6tFw4fdPJd0sQpE/S9wopa0gf19pLr4Vmjcxv9x9+FhrMEEdFaPysPU0pICCkSq2ua+pgIl1VNmL
3s3Vuwp6NiQfHUE1hp7m+kOOIr4r9xkxHdQMqjZhdTmGomf/6YC8IjGzuiEtrx6HP5UV19HSDsOM
4COo8d45dfT2iQFdAStNFThIaJa/2kjNeOi8ZJz5ZbgMxHmIVqlrobo/opBDNVMrqgjy8/DDdirM
lnJTHhEtb3bZl8DEerNdbWISNDM+P2f4h8jLecEPDkP7AsPRFlId2GawlbSdMyKPUR/p8FkphzMM
5qvu0jkB84ENbC9QUcKDpVSzzOrNuyv0JZfQRVMMSgNHu/xoAXvkcugxtIpfKDp9SOrDXYkVUE+i
09IcWGBDXq0pwEXUl8k7xCHHFm6ppxkWbQDSKvol/ty1i2LpquunLJD9HR9VTr9znujhUc3W+LMc
RRWs5V3Sb4jCy+frgpn0Yc1L78GZlEq02rf2oTkrNE5h+OSf/RVhL9RRnmb1qRXp8O2v2NCyIebF
0Ccu1sDVM3fAO4fkFzKGgZhblZQJVZzlP7awvN6Jq9lJkMeKAk3SFA0rVYuWDa29M3Vp83EMgzsF
MDbAp+3N5G8NMrnyFGS56kVI278X/1FEu3GOc89qp9BOK76Oyy/UDuarjh1KrB/ma2UffEJypQfX
me2gGCYipUo02crOJO7N8R1I6f188age6XG9AmaUhfCJzOF5+yXNabUE6Vc9w2+Y6iEs5Xka57/B
8wmI0OZNC6lF1gG424Aiurpugwa+yb2O9Z8oh64GgnvKyWTAMB0KlPRPCdsT0BB+QH3d2LoXl0rk
ABTqU3CV+xYaUWldf/BQfvoBrwdlvcFKseOhb6cHNqxvemcsHWRe9oMLTZxmOTXr2u+DQZFPUJxv
9O+5HfjLhpYaRv8mT3M6CwXKzuGdxxpghhW+eikY0JUv0csq/DK5or0BGvWTSgcqEvlshsyOFB7Z
zHLTWI32sNMCMbH3dMAO/h9DxmSkLVTtX+hFIlbQM4qijxGXJIpxncADOhotYJ1pClK0FGpGL3du
5QKGwAKM9zUX7s0VZWgxSe3WrYwTlkyqmzL16x2Af141jDef9cMtGGMFcLoD28np83mc1PeeIj4L
FYnP+YtfWbIE1tQ1YwlBpL+Ful3VrqGBeHmVkxMn5RCVFdvUW4dv5AUpCWznBCpRJcKoFWm0cL+K
vkaAqQLehZj/fZfwOBWdShn+fEt5l4hXRGHoShp4YZYXb0RNKLXltAcb5GDwK3GeAGB/6lA6/npf
HGqFnFqIKT+gC9vTghC8kf4pttsl8LzC+ubmF48TKLzv+2tlrsBW+qn5E35ul74bLYfeDDie2fLa
0g65Of4unAH+6TIghT9m8+b2kEd6nyz+AO+qHV4AboudI6W7guxOrapFgFvibJHGTGgA+JF8JcQu
Mfhb42lcO25vuKigJQU5ebEJX7qJ5s8X0Oav8J1SxPlnDNBwL4IuHQyJvJuuCd6pfrDKDEbwMzMH
qoyt+vqJv4RWAMuzSLhdBaEI9ntZ9KocfBNPCSv7tU7oj0meuLniDmjsw8pVUPqn577AYeiOyoVT
olQY8Ev+AMayttPDYdlZKsZngYlA7n51qmuuOXEGVdDb1lRlX41zDbccjw/NAgTNHMKFr1PeACE1
TvRrVOaFwbW4JCmdHh2E7yjVcOlzQqVhAjStGMr/SaoWCZ2kLUrXtp0PsDOiNRiZ9of0tOdYYxkK
KS17s112lycM4lJkAXZa1QlfsugvXX0Ny9CPN6KLK5K7UysTK0A/t4Q6NBzUs6na77wC9UipSOEp
yFue72Wou7vo1lPzDGlsln76f0PeFUWItaGbwhF22JbD/O1RwJnOTPhxbur/AtZKBATRCBk+QK+n
hYHiZjqx3USpwsabx5nV6uADT8p6tOCBuaX1NhhH3Qah/5zPdZffBAGsVByJQiq8kAcQUXkxhGMX
5yoYEqYZ4bjdA6EzDUggUIYTtQrceUUP28mF0m3+Sn5QkUl6strTMBd3BlE064Pv0+DvccVEzCVA
L0ntfeDuLefYOAmw2YvZaw5gnLgd88HwMICVaQspC9iZO0EHQi57qbiHCGPgEKElJvvcM9aykxFL
qGMYXvwT/B4eGbs75rXaBTRzO+bBOVzn2tGjTdarX9EMTlpMKplDLpQFqhMv/FifYZ9XQucX16Lz
Y2ozf1GLTiAfwb3vlOi0sJtjLPXOSdnTMm2o11Vf7QRo+66v/FbpTyzumo7dIfmPQfLDDBOj5X+e
jw9CNb3x8I0p66HAvyW/crwLGJDJJOnkcnDK/qjUc8P6TJ+xmrLJjlfF7E0tVTbAK9h5bzHElDWj
HcYZIHgF95fQADLOinVxWSlXSKvfP5pLKeUMVDWHS2vIsakK4LJuDCcXPNscGk4Fgy5eS84jYIVy
mwDa+WGxa5W2FkZwHbJtwhOxG3AzRvL/sFPakpfEtXS0P6UwrZ86sEueeETMQrzLU0gElD0OLA4O
yLypH/M80To/hcC7QvBs+UvPcdzJF6C4SHEmJCZ08K0l69bZ/wTizB49XAVxJeUcLJE+DG7rAtHK
x4MN466azPRkbwmcoLqUKGGPa33UqqNdwNz4haWHNDcyks55GHqYqK846A3v6KLREMMThAQpEW64
4GVVzBs4lea4KQ5+wrJHadDvDsHgeJXn7DuNLPAONZXhoDp8KrlpaPx7eiLbD5zLRwHozyfTBKle
z7/NNkfPg/CK1KK0af71/jPalLeOf9wZ9a5xLwpeRsehyKwoyKuxM5zn+slDPWMSTKpqs7ozgru8
aJcLD7dUWxvKaSpjQpimvrdAP72LeuPEggzAxHLcGXlEH5obC68RI/5Uw59aFWZy0DAFgz+pCdV5
0JGXUjcLVj38p6gBka4C/dZJ40Xw9+jukE+FWxva01G9STOT6nGqy5r5ZvccCELPd3mj9dYjvbfS
s6zIBxPhAEyOV2jLkYSFsrcC0zXU6rXXveTflisazk/lml7kqicHaOmrJM1Bkc4Wo6rVUUgRWheW
x16giwnw1WtS9DgyqZldlhhWZPdWhezq8oCAt7EpaBKUqwddlbioNzXDLSFwB2361g7s5jRCnjhZ
kfC45p188jxNekyqWq7Ivjmmm/10UK0I/P4hsDIA/exDfAebuZOvDcGQ+5a4yiN39Vz5aFKQxiwr
0DNdm2gqULkdE+PzOhqO3aTKhtBGw4+qb0bxuykKhe6ysWKJJ9v91itf9+KGxn89TdlIkncwXjJd
VrwxvEHy+nGI4rBroM1WVMpfvaaOA7+5wMXNS1NNDCI66oDCQ762SvA4auF+3Zn+FRu5xvkRX4I7
yCaBglOzLH2kxgVd8Vf0QjBmiVsA8Vr/OtI9sbJB8uFNbcJZR8TTkQEqIwfgTKk27ee8QW7F5taq
wIWAxqyT+j8Tx7gEYD8mYnvj0cEL42UPyEhmop00PTTpAv21QmsVb059mlftnPislzgpkBOUHkNC
eJS5t4FrTNLDpEj8TAPMR/Lbew/WqSiW1mWnhObxP+M1FFDvcsSk2EzpD4hzrpLErJI7ZJLA65vQ
JquMK5rtZH6d2TOKxPaoUlQDzgUU79OlXDJBMZ3VtOf03PCAuRJY5wCBpCMLUkNUkP31IifTM9ud
DZhmltykBhuKrD5Iv9klbKAPI1lCRBqTFfoG4RRCmqukDgQeHzJVH7afGJlmI69y0eMJqHB2BXnb
rqAU/AdZqxJx7xHCPJ/1XO9rZNlyh87H03Z2vrnDUu0GVfpXXhEsoWfdDnd+Zd8XmT6vW3Nw3qBR
Mq0qU9z0vy1frKxbQ7bE7+zRB1EEJnYaYRM9ab2bLY2Axkqcrka7RVISsh94Zax0Av60eGWTtkpX
QZzS0K1NygGtrlGCHsjMFXx9HCN1ywnB6my7Avhq68Tjg1yucmSdGHIWUmOxl1Tx2CJmgLyLGFlO
ePkORCfHIM2wnJrO3Hr92lMhTgUeJdaWaeanC18d4zYUPl3t6/Y1uSjDk0L9feNOqhcKzCt1qZsv
+M1kVbLwyI0S3ITZajN07Qg1Yx2sGtCRpTGnhfQ5yaUapA9f2RpfSwGKaDEBwhaZpy+ysb2VAu6j
7EvteeEqBTHJaXA2kwKphMZsWDZsmsTVy4WUFbAnoLxRSoJTToIdxOWQTHW1JOLfII4wUX036PeU
da5IIc3nDEeS+30ASGaeEElRL8OztZu44MkBnP43CGP8NVlxO5AI1QajBxveiZBZD/2Hb7roxw7l
K5UPFN9fAuTWvo13Spo4c/LN7/w9yqiM06+y7eGdatxq6Qdb1EFrZsX4fvNxk0BIUeqLhNxtEz12
dqMT8p4zOCsGmHlLtBSh4JxIpSSvCPF2tdbWhtSFcnYeRSzv6teCJtFsKskC4Bbeu5pwa31hd7CY
C7ue1KpmGccmuRAZwxhrwhpjsz3+CBHzMfNMIyEYgnRUQdfr5UBE5kfmOEmf/SFtkXNRUHgDsC2u
LkhuVCMGEMu1NkYrESMxsy6hvqidsZfc92EiiY5p5SpO/Z7aBQUiZVps5t+iJRyjMNYLWq7qAo01
gnJOzvhIKtBWOFU1DTo3YEUNmkyk3gC5XHMQsidGFzSe1gRJ9IU1qlAuteXuae+DGG1Hry4lotY4
HkjQeu3VBBPI0NuVtLt6FizMygw6zhXDxkLpB55sdLh8qxUArJP8BIweBltC+cZ+kBd1nSri0Jn+
MWTKyO4QIJDprvxXRZvXh8y+dS/OI3i09XOIeVL/2xM57nNj2lAewOOllrwiOqH4YAOsxaglCLiz
xcHvKej3hnJpNOUshaeEnEMQs1uG3P9Eq6Los2xh0yWaGeenNb7Ze5Iqpxpf2thnASMCur0d9yOW
p3TRWDkpKNZrrLoGhNGPL9nPguwAhqiq2NHsd2FSo0ACn0/UyJdz/fvkfiUnnF/rRiNgjuEWBJVX
0Wx7pXu7a9Sqh2A1WyNcyaYHCG+u1wfINS/du6KuQElL8nPtpCU5me+G8rI6iF7gDARPoBUjeD8y
IjyKYe60qKzpSeufGfdHZlvvGPrwSZDTSG36P54NxOjh7rNPi4T7ykSHcuejLkFE5v78G0YXiYk0
oidFkcKN3ZHOraHesmdBc5fGrdZxBWH3lWcetNkv/eEdqH6rAhCpX5iD8wFSJjpza1xRx1EH2Nra
qkWj+MDqsq2GIr2wXvj1/I4TIv6UBnoxmvLSETDhJt8bm3tL/yhG+crFtadqEccu3qhjICl/NIHq
bMf/Fg7v5xpsi+tnFu2UFJzlyRW9cy7T6Dox00qMJ2GmIJBKIUQEml5sXzebqK4U+RbFi8ZQuNTR
3H1egglN5VRjiSPvQ9CoaS7cH0knk9h9XD0cqKyQo9f6HQdFLD1hn5bV6rGurcTTcm6nNsqhG0K+
GRnvWLsFAYP9FZ85ioT256rbNqhJ2Qsh00k+LNZDlbRvsPKuuJmszrCCvYOWeeuwfNVBwIFwHMIH
oKMWtWOKMnelwj5ipbyt6Cyme/iqPWU13liFJ9D8DZhgzSsfRG3KBJVh4rzSEs98Aq79zKWT3Icw
UmJZqyQBgjrlxJc+7OTixmdt6VDN8LFHTAj7MgPUZFUyj3ghzYZdKkfkB+pK23FzeogFbNbCzXmJ
+3Z8q7NHOaTZ4JxlOZTqf6aPPfqnN9Xz+diFlpeUWzYnONHXKicRwF3T5cSXljHg8/IpNFb5I0v0
gRHlOQiO6D6iwjx65IloNsdVPNv7YeAc4jg14nbJzy00EBGtxnxHNDwhtvFJ2T2LNsTJZoOVOvpS
x5IgBgoNOzIEdaSTN+dkuxig9mRqmNjFOKrD9fjvRvnD/OGmNc29iq3DoauVe+4Kx3wZfq52sK0K
O/ZnIV+y/O0lBvgPd0ilRD++CgtAgAj9Es7wl2Gs598+KiyjaDI4wgAtolEYPBzxn/hZym0UiQ0K
q0ntDZ4ejxgVBl2DcJmtM5hHcC1lY72/QFKSuDlYASmwVZmChIeXc5KExuj5T/s8r614jioaFSeL
GU0xckQJNPilqx/auUB5fveQnBNKyxBomsnU4HkBQABMJd2WO/aHkgRvZ99k+8KoPW0BJw+Onwjg
kWn2ivMRXeycAsAkMZ0SR6bNScaY0jOMhdSROi+OwhWpNyUkjDgEtzw4IB1EDYiJ67MxdUTs5NGx
oxxTC75IZ39FXBPpGRbtY+Gg4G00jIb522X5cg/YTS+qBZ77CbOCnt8A1RZo3l3EQbir1hTMaFHi
Lmo7KDlNZVYCxmeLCZK25gZLtztQ7go7H84eVkI1g06J0TE418FYnotYCVR4fOstZCqhvWRK89bq
zwDlDFKLsAVqH9cV1AQI3pWopP8ddPct/qNI9s8g5pe8nxbwiZWmWrSDqtGscmnnboCVkPun0FsH
XbL5dvXAaVxpVVqCSjdA/KKR4GeltqTbwL2SxNCY6n2PHVH7EOIj9RS+PbIQieDrq8zATbmYFuIP
fNtEyCsi5X8Eb+TAU/2wJ0msNZU8ULiw7kNEDkxNMNFpokEPu0m5/DHx3Obh4L9Aao5GnlAyq26X
eLl6noEpPEr+rap+u2lO08NvCPFQEqFvSZ8Ag0txHuzeyNe/gBBtMeaV0UjUh/5ey6vma+DfXrpg
qyFlaFWxLHv9w7y5rbxoYXhxDYtwdZktzENf0NRI8ztZvEgdZ5ANRoNj9Ss1p+XNsyRgPWRwQJW2
yCEKps8r3rcpfJ7qkzLWQUC11bbS6dpjBjSVlX8LTptjG1C/KU2nACAREc5KVsaI3gwMO4nXAW1D
93Gi+tMPVpbCl2OyTN+964j3sMlejdLhxyez/d+qwFTbI4rvw9idicwb3QQjQvMn0QNdktlhIWqW
DajIlJt8dDTNI02f8BP9sEIHtLh+ZA0p4Bc4GthN1KagwvxaAN6Ofv+zvruotLg1kaRqMt1/aKqv
4YVs/fmhEjxTfVNIV9qWDKpFL1Gtfjw5Y58zEctPkqGF0msG9YsjwfoUufFiOyqjp/ToNkZCIJRL
W5OSVq6K2wfoztFODbpMTpui2mCs6CGzMALoBKG4Zay7napIx/9zmqBxHhCdIcdq+jSbaOkoGh6w
zDZltroW+vCzpAL+pxNFDvrHqJU+cSrhAtB4wkku+fkvyDkQwGe7+c+ZqYa2VvdSDUg6VpUwNiJx
flcSVO9kog3pwRgr3I6XlZH6D/C1JMeFB66j4U8MAgLYS+YsS7MsXBHv+SjurmommXdJuwwkcmuy
zeuQANUGgKowUuMHQw67rJrshcGBAToHSJ9rok3ftl1hw7Sd18kSJG3OpFZkImpJccmPLerwQSrV
550wXwvPeH4c6nqYyraXI1dA/Ff6YeHuTZro5l3WM+Z6ig5VlbS3GbrrbSX41d+ZNFgrDUHbS8kG
vTTIWxgQii6mde4ljSKiJlLsr4ZvUVusaaXqyGsZvRV0IU2ecVHdP7f/u9Y1ul+Z/l1Gv4+gZiDs
0fOy5yd/6Wd28Av250P6EGp2Jho6bv6cFSrVZR/E2JRFkkgIMWc4AmctwEfsrpmwBWFnaeBiT9Sl
SY1/yyXPt0sx853wxztJs2KoI9D+1K77Xlc5fGVMLA7BR5KHV9OF2268WTnNEc5UjHSqGDrslr4s
RtMAyKmmMISY3mOflk5eUqFWux+cHHwfmZh6zvxatDjMSRUI7wswV71Ud16SX6IDaO+5F9WeSdBR
s++1OHkifK3ZjBK+oISITEI+7g26HlvP3o/Uk8FBrRsJskptc3Tb2c4GNt5xzVkev26a1idygol2
PnK7VVhYPL1vfyNoT1wG5sq1iDKCK9HujovDuwbihCyrg6eK6ldtMh086BQCP3dN+aQz/60kh0mG
mWMCaer6cyA6AqfgAW2PG4dhl5GqRjdnfDDUj+IStse7yL4eZWHrPbmVZ6PtBnn4F75rYRX/yoWV
yonnN2s4XWrU8Jj5WpBFquCS+GbBhIXUlSupVNEEIRbRdV4YCOlG4WjgxYQrO0zdWyw14evXiH9g
vRXVgMtIC/F5/DPskirAb0dvHxugrMgu9GGylH6YOcFT3xGX1QnaLIDi43HhKaVkjWUMV+QrrBUv
IaM3QMxaLTNFdGQiWbwrjVMZ3X2aeXxdT/TfbH7RYZPTuCVKJUv3LxKZQtlW8VxvRDNv3G0RdbIs
qktBDyw3HRGlkv98UDUDw0vDwOhAO46XjO+w2KS7fCgbzPRkl8H3PSs/evliL5eX1tT7RlFk9zkR
tl99Ow5zl3kvDQXsjReTiT6Xog/kAs41h3TGMeOuNa9a7jyYPF/iN1yFUnIh71Poi0q7C8V2Lg/S
zx+Snf3Krowblo+wy8xRu89KRYwPQoYkq+NJzos1MpHUm8aVQAOntQBfM918surWhZjaOeHzGppT
27JG3x1/WtVm6zwygIR2fPtgGUg+W3f24rAdXcNEgwDxixSo7fkwjMqPhplFP2+k1hwonHNTO/3T
9Wt5iRHuBytMZ8TwYNbbvlpzFtfGzOXXJY1JOVCOsKu/O7IZTGa89Gz5nHUET3i8tlA0N4PHeY6X
N2LdWHCuuezjx34/pbs9vGnr4IGRsupkyrzHswU3Q+RpUSTXiKsDZgMoPM9/6GNy5G3pEfLb41JK
TIDsUiVvaPEueccE2ehx3+vdlXYT0t1At4mgP/AWP+UaO0Dkt94WYt1EEcYL8ttxkSHyIKmTMFgJ
AXg0NI6/jq0MxktzQbwrzfoRpXIg9lAwAN6FmXmEEkS1xlG7PGuXFcyp9m8DqyVUnbM77N0aLQmE
sKhGOYzjgXRofQZwgaPtmHUQEBWHyXOEnqWFIY4Wx23VCuujfZKhXLLT+mC4DDPH5iOqY0TuJ1yN
LKEcMXOwHPtYRVSL7Vv6MtIiPIWmMB2GZG4cl5FNy4xPL9M2BFAc08bd0QreQWJHIrWYBj/xJW5E
EN/XXOVWIs00vdo6VaWeKNaLZ+QOzA5zmPsbiA4+g0YQWcAwh03WBWNuDJGgku6cKkYG9Tgbi1vi
tWqsgQAPQdkelnRnexpAmYl/PdAfh4Vqo8iltbgSiLNBBCmi6H4V0X2UHBAxFortT83/TMVkvWgD
m1EHvBsA8w1Q5RpkfxYLRdHRqSxBckjAnvjnSDbwgjhypUg0PN7Kx8Kk1GRJifza3dVxT59uKaqW
uBAom+qgeL8vCuiUS8Qk50xxEfSxsQFP1IqAso1rNBvSrYTzUPy0on0Pk6yqiDED2DgQM5OuoYBd
j7RsjgjWtJwGnfGZWkaFG8cK0F6Zx0eMaVcMS7gHoowb2baPgSfb1o6BWKkL2MOsZ5MwcQbsjXFv
akammRwmmONdfh98jVCZr/12/9YXWHu3EOoJBiyMgQBZzzX9laR/a8xm5J5tG4hVCBqIkxtd/CRX
FgPQAPHzoIO0odHWpoZtMGWo9/ZBcOga3B5G6QDVhhamTVTxJ8CbiPB1/aZd5zuhfNN1gDBb1+4j
Xc4jGFAGCs1DQ4wnm1Rax79T75sT/JFdcTNehlyNMLMViysdRs9LC2ZFKfsLxp+eOlfeNv7WzAXc
sQwl1zgzLu6nUCg5NgRdppB4UEQUg/veXbfW3s5vErlosjrBwjhUkwAxAZd2xYi0jwqBGIv3fWO8
D2XgKWkAT5CkoAWij5e0cx1rJoKn6pyotuclrsWU/I2bn52fpdDF8b8RrAdJkCt5C9ktl5zvQVtK
8z7+3lopMS0tSqtaGcyXNHpt7xknDtoK7Dx6GmTM3q83ZZpvC3myTO4Os7UJR4NybHSNHtCA++51
T8/lPg8V6vQdcX7/VQ2SptJ6//R5hrQpipvXEWD61ROQpXFNmU8VEzuricgAkeCt2Oq5SmanCFGp
fvjVOidSx9oW7wNpiIWcNgkvNcZ44dFVoXGNZr/4mX/9bRzcMf6WHHXiXU0qZhWoO0iivdkzpTBM
u+4juW4164flxnWVuX4MLqaiz1+jn1GodUC1jYmS9K9uGPbTGVUWMKOzldl/fh9Y36jMIF/rnSqf
HNTkTfci0WCmuhFuPkuMNq8zjz0A8oad9C8NVOjh/1BByat15TnH4gDnJneaDqN2NAiVTO8FtN4m
+qHjBfgSlc4yhteTSnTWgDZe7HAb1a2XFHSoP+OMy+xiFw3s7GEMD06LMSdwIYFrKth0jhL53YOp
2vOCyOeBU/OhxwMAFvUZ20/dra7PAUQvnj7/x0EQZ6BxFqt247b8RObxwhTQ1emJRZhks7rPs84I
2PBcImhbthqYZChg2kye3QV/28/8Za9aUSbJslqm4ijZkG20xM6Rmvxzp6Hm0Z6I9vNRC2CqT39K
Os+JwBfQ+4Q+237oQp5gBoGjwKhqi7auXzB/7UuoYlx0v+1u2nXnGs/NhZJVQOgDgznPTXYO5uYG
XAkguL9jTSzyZzRS7gmFebUPnAePkTMcnVMOH/X90NhahwXirEuExvY6tZuKdaRnomGK5jEQPaF7
2apzuPrLe/f6sQXjJKelw6cFwUd0L/EQlcUXodCmekDj/t7kdljBFpO2DNAs823NGQcJoohsQrI7
08GzaNtyvxXeoQRgIcKPhFm8i0eQ4FQrKWCi22er3Wv6Idq5l2/3ic5omlN/JNnCrdSuU1k9+4GB
CqNVjhmwi4fp2YFMqO3WyEffWMzGUse0RoebXTFtdzdZznF0vDep9VQVy5X80NPoSJ0mFLA0xLEl
s+9xmJi/fwSysNq+RLU8eXe7PCiVJsBJejMi7VP8zPaiUAiNRSKvoicJUQ491qX0LtWCyS3wZWGx
POIWgJxyslkVzJX1bRAZp7sJYwODIKk2WVxv/DNM5RWPULkRC+WvaNz36aSvxbjpLbgDPRurb16w
yzfnvbPjLXi/TtVGRSwK6etooxSiZaqHLytkHu82QV7gD+ICzlCY1CJiZvWVMQH+OD5n2IS9wicX
PjpxOwW+IIeqCl6aTGzf9JtwCzNMRzjAEKHq9sP8UpPYl0QHWrjEFgDph6oV9PtpMcS0oozRXs+u
jRD9a1FpTvRW1gRybzeoriU3I3o2E11JecowZZvo8wxif65A1wNSRp0UfRds1v00JKpecHNrTnZO
FMb3+er0v9rxpL7MGNb/53NquAz62Ry4Yj3bndK8wTQ+0R5gVLOcpbU7zzSp8tETJJCPgRTnP962
xPDagr48ukazRyNHhuxi3t0MMpcIkrG8X5mZ3Ily0QqNSYLkdGgA5RAS6qUd9Eb9vFlj1MsdtmHX
TcEtNlGtU/68chiIns9V3KvoDmTeiveGWjX4XGvZjdOAqNPeYz8NN4ZH41HrCq7gayv2MyhKbtTE
RoJ+Gq8eca1b1i2AEWTpp5gAZNcLLffxs7FCU2FlZQQ5kY2jWnn7ICsARR7DynWjG8Goc64fgvYH
cOMoPaZa4tJq1eq6m9tNorEbvgs0XoThhy3DTmX3fb/5MM5+M1CixeEGralyRTM9y8rhs5hyiari
sZAUEvyRwH9asjfXMR6PxzxOAlSl4SPFpHkGJUE1OtH1Bml9NU2B5x1PAxtamtsn5quF94OQZ/Xu
MyWYBoOrthpc0E/JZDjgMS0OvFZUmyXZALJNBtFBgsRLppska5D72cHEEuWIjAmhxoyRKCEsIFod
rZd2DU6HSWvWm2YqZcrQqUqoznfjsjCwOBqxyzZIz8NUTU3BcviUnEJjV95GXRakPXlGBpxIOrZr
ZmaQHrCPe64GO6iYbhUTyKb+zQd/zaIBQb7pjwm8Es1ODjsfJWtfJeXF7z+fR1JO22uBQhr/6HVh
4urvPAQHw6swQzDAxvwuqaknLss1202P+0McglGY8CtTt559WwXk7VIzdFJyVPlQR3PHfelJOZUx
MpwKZCtUwRSwHgU6nQHCyLJiDDfpI6P1r+tO+fKykv1mm77tyM/9IXGFxbN3sdf/LDqa3irvZ7T+
61nxqXxfjxMCffTmLkBoUWwv4N9skxPl8NPJF0jNqQQdlLlR59peqYSGrlCD8kGjeK9g/5AF8g0Z
7MlJpzgv0x/hEfSGAYcH7qcFbSaoSscssstxu8E38oFpFh9/tlPXT8ZdUXPj3icoFzY8WkBzm+Bj
SW0d2U3nh7NbcwOnY0rlTavJqQJXgdYRtVEsxDMWf/kAz5OxkNqJokTl3K9ViuKwszYSwca8lhCT
JsvUIPcRgFCE8uqV1OF/W4VSmX5Lr15yKDiulvbnW4b6H+s/BZnzZVTfDV+5cJI2kSjidmY2iZkZ
095mvnf/kFF6lz1Luy/B7ZMUIYtJKXbH5NGHZ2yCRkI/Wf3XURYpBxtOGYNvWLtFUXfNJQB0R42U
/krJk/nvlX2Xm/o4kU5W8uMq+V1n4czxIxmdz4lusEkYu59wm8oPnRoSVHDdrt4cw5Bj1r4CuS2c
sCH11xDki0tRbQS1EMRWliSwHj9f1emiMjOvGDRZ/2rOKJbGbcPXFcLW6mSocHW7HTyioZBDdWX5
vdIKqTHPJwR3xa598SQgg63ujbS8GI9oJwbuihIOiNWbuW6QfsEkpYGsDxlh8WG75PvreQvtmXvO
JDH09sBgdys+zhDk4HT93zYG1Ak5m6GBvmHsuE+sv/knC23yo3D15ieTr+Vr6Ww+sKOL9aWbk4Jk
EmNQePtujSY4yIR5j9kO7odzxBrluHJKTnR+5xSx5yYarEHWxNVfOUUEJq3ON5eQSyrj6QkQodu4
2WxmeFlPSyyohl+4YXx1+vAS69XStkjGabKpciB0tWSJeRBTDw2gzYXB/wrhD6369EUnHvi15crY
LzeaNufZFbqPX7Ge0coeVuuGLe2LtxUN9ouKZV40SaHjAgXYqEhGM5nzDjwIVYnYiQ8K1Hzsrpqu
/+eNVtHYUBuCZ8EyeHUfClkgOUV/JA+FEA7cxob/BT/sR637yjh1HzP00FWkNVUPUv0WcxF+YoDy
gYqixcFhgMl0GzGLZsWYO+w02Q52P87TD8bN3fxh2GjJD1zmc6avRHLvk1nO9yQzTdnNo9dcgFLN
1pP7Fxydpepkz0xTNitmlYy3VpLMfLRlpeUxj5BG/LjGhxlofQ1xLfRCPrESwAVd2GrlA9glRns/
9u1/xAMVpnGPceoFKq6NZNYKSraplczXeSCfvIKMyc7x5QlcgO01ZbFagHkR5W5BsuQ48SjgM82a
DZAQ1rOzbHPl3ZtqAXpVn+NCQmVq1KF3Mr/zUE/EPMixQWy8dekIqc3corLo5g1VK5CnidnXeHNp
YYV39WerYv1rVpg4jQubNs6M8HJEHNdeQEMrW0YSSRTlEFrhTPc+jJzQ28emb941ZhyMnDjEK3w/
6xn9Xeg1j22GTODQQyhcLtlPtMmhlyJFvkULT6OpiyDexNvc3DI6GAlMVd5nKrRMntmwGH4VJNbv
QFIutsxSqOPbGvmbC9TQeHJCF0dNv1fAU4PTAskb/hyxTS3gDBj/dDTyDlCE/xF7rA6XW/swSWZy
sbQrFZwGwW3dwQzZSm+2HXWYa3vO+XVINNPjyRuMUcd4NEBa1mRN4E00uCKmpp33htQ0LSiU8uV3
dEBlwYpSrpv5o8an7Ysu9irKy/u9qDUuyKPvr29eHPn/yGF2E88CFId4mzZLksiEqZOatbITZTv2
6ZUEmjTt3GmlAX8vLFyRTYv+ePFN0Wr0yaVwcUXpCWeYjjpl9eL+bRcqpIUSAHJvbNCxyfrrau/O
cv3qrHRoZmP1We4u6UQQfhV3i61sZFfwjDaMFfQx495kRNp49HeOZrczP1MIsvl3yyiwYgU+8yTm
x/JPipa7wgzkDAMM67xAceIgLenjjkRpcRG/u6hQ3RsWR9BWbGPVLZnUGPk5QpFRHPv1ZlHk08Db
/1jZUNdCqdqsnH4frogjEWteS9G7O8BACTavOIiNPo2CJNsaYMeBYtf/L6tnGDVTSh5+DLVxS8pq
fQC7SpJNFoFxqLbJnvnjwNTQ5MqiF6jm3KK1QX4uT8Q4ti3gGsmd44aAl7QTwICwfn54c7zpX5TZ
33m8kSlPGjB4Hf/gLS/36g1ReyDEccKmjB9HdpkV2DdMjjMspMxIkx1lPi6aAY0Aj8X0t/tm2U9N
CdcX3xJCveLfL7ZbIF1re1dxXa6RvkXnK7srRtMRHJ/1qO3zKCIjHzqrZtWG9QvTSr0AO7Yyin69
hM0JwP0/qmxxo0ogZhcPFjbCd5erUEaxg+i2CS5erPRKtaCIXGKCQR2QFGB6XL0QJ4t9o/g3Qx0r
7F+Lu5BRqAW1JK58SjkXXflZ1CSGCFLZBqzoJ9QecviEUo/RHDAarAY+1Ts2m8KFHfMJiKguwdjX
v339am0ZM3pKEVEyhLgTSVlRWUcKPxYH7LikJegzRW9KbbAx5VSBETHMmjo4yAk7Kj5thvXKrYtG
m36ovUBS1GQIMKg6KQJciVXzv495rwmSJIxf/BbK6XWaX7TBtk9Y9AiwVzKYNh0/MkqSKpz+XHQt
aGKin85vDRY/ChOpqxD9K/ayoL3X3AFk8LpfZlh4rpLA+7UPoHbSdulrW44UDxGK1opQ8tV59Xt6
VO9qOiYXVXQAIob6UD2Z3sRsBWsMJ0gOpVDfW9ukzbWl+BPX7cUFWCUw/X24m5s2aTjKTGUpgyNx
SPXYVIgJhI1cx/1/AQH0Eofmfg6TPLPgngcPKuwca/Nc7p1i8QMkODzh0drchmCDOpzQQszoPsoE
UUMQmhH/NMB+udkNIWM5hnXNjGxvK8g03oQV+2GI/kqU0FApP6HgKJIfx+acQJDrL3WXfyhuIkWU
DG+cvO2j+ZFA8A7bAKaUcfbogXtiTJmf7X1kwFkzdu75wraX8MLwwHrENNuD49/2MIZqWNKxyrvz
3rUxXTjxxF6YNp3I270UAwwlU0zk8qkxuCEppn6IMX8GMRXNZyg2rsAcw1i6sG6+N/mVbiXGaATb
W3kcKSvch5yVu0W+IXPCKSYAN15uJBOnxI2SVKUKFxySKQpYzlj/0obJUJ4FGZRgje+EPz4i3zhq
fPUrHaqfA1rx8T272v/3ow+3V9EOgH+MYXfEGE+Gvq8gQI3mljZ/6O2mubVLiYOgJbTpA4fBSRrv
xkgabxG40M3XREpIUtiSCWiP5l8iLDS4xRBRtZFTU3q9kGJhyz/Z9adt3sl4JMPzCGv+W28YyNxV
reKtRa9ilF75c2d8tiUb4nfxigzdKTKP8SQUWPjXjN1AjwMgB4CiUx4vXzYMlWSkJIIkLEHlct2P
26r01/iTueMr/rOJZX4s+wYtFMnFeYYj4u7exhnHsNl78Lw4JstOJiowQT4zlh/FWUDYE0ZwRv9i
n5+Mu2h0PetkEp3vC6wZSf2y/ZtHHkOxD6ZG/z8+GvXR7bz9R5ZRQlYZEVrBpwxNH7nvHmUpL+AI
ws4dZaR4g7KvPxb5wxvTCR/nGYXAZ5dQN4Nin+5ICILtw71S3MmfoVVI7V9q/IhhrGAI6MyUGR4j
Ud9NzOU2cOl79XxMlm/P5X7DAg7DEAjJD2NCTIVVqkP/Ykb/4bZzejuLaLb2TJiDa+tgHsXquE3G
piuashTTYRMMxXxdRUaxEILkwspRHLsPKzlhIC2EkRetkMIF7dusrE9Y9hSRL0U9dfrm/THwwAZB
AIQl/NEwLHSzM2vZIvpef2ZP+Mn4a1T4w8plpg4uzxpW7beyf2YANizOpPVEjGgHqAQzMDsAGjUf
SuedclBRVFAIi+hwD+QQFxIbPQsDvohBEwTK8H90Q1NEyUv+wMMXUXVcwWXV60I/8c2d0bkWOR4b
QC3qCfBJZ5iu6jyTm1LmY4Y+So+9a45YFMxE3syYnbKOHXS3y0o8GvC2qoBewBEiQumUIkq+Xq7O
2lzi8qZi6d7KoE7+ZB18H0WQ4eF4MsViKB2Qcq326AmyJgvoh7foJRAOxF7z3anttYVMEdIhM4hv
OVOsCniugFhaf7uapFlv9uB3X3ztY0T1VtP6kN2U17iFj3h22FJQjYlOsO2CVcZUemZRquKFmzrV
0H3M8effwXt25JNiTpX+zddoU1dgEfroH1k1uLggiWOGOuVlN3Zes3fOeiX5w2kA0dz2AhdAAyLu
8E9dPZ41ogImxT/8Q3suIKQ5LkdzS1kbChOe9gOdaLkNSxFJfTHnvuB+N3+4DvoaxIKfrD/B5PF7
DxRURsJxb0flhQEcdRWwJ0/HMw6ZmaCaWHvRxgdj8hXtLHUw4XzC8P2xbnT/eU3K0OnqTsfLV64B
iXec/vgA2DRcj8cquce/CiGEYkwzWjhxClMW6FtqK+u89vsuJyc1xnr2UoCiawRKw7929LF19FTq
gyLEbUbmn61A+jAxznA/xlRe6Zf949OZLEII6yeAJtobxzbVjzOky4ZEeqX/XbCE0Fg1fOJKEFnf
UDQXX/J89rmYrIKQEl/K7QPv4Cqqh5+sZ4Hy0wunLWnR66piFNrDtr2C9DXffrnGZi8+PYICJXyL
h18sU/gMJThUZhR5pUYIJTRI31+GPHGpJ+VnropklWyeSSkX3g/qQg6OhmBRHvzqzTcCLw69mAoJ
pc1cbbCCQ27ugfHwGr3SgRqHcvmTtTq7sMWGFFthn01BVHRxXS4qeixuiNfpQWMNUEFRo8zDOebq
J9hKInJAXs5yEdP5EfENdnX9Iw3goUlVC/obfLCi8aVOYNNitpXu0xxjjcXRAKtSjrv55Xj3CjWY
ubAYQgvGoXkJ6jYjS6/lcxnk1J6n60wc/BMoDX/niZSt0MZ0OFiHQ+RhfO9eEicHytJkpcqD7lv/
u5ZyamhlGluHFkkaMm8tI1kHF/2CpDPuoArsFTLJDWgSdNcdJLnwcAxIwwUk/CDX3wWmxAE0MUp+
ePZwKcrr25qyhTu9QqM6PYoWjulTKSgzsg6Ol/cDo6CRgI+9s48maYqol19uo5VVr+5bhIQKcWnl
XciZqM0EtCZ1Zi/7G535nC+Z8/XaX2GeoXAKPcejqC3yoqtGXWFT6cfGqZ9GMZDB3nIwkFByf14K
gUqiaz4K9FQlIwk/maHVYMeesAONj/fWy3XGsQgVonAVHv8Q5HgpVQ7Gphn0KB4SdqqHZ+LJ6EnZ
BNwvBX+IXhQw3M+WEnRRCsI7UZf1kkvj66/o7eXt+AicJZCWbwtfQRVcXcav7f/kW6n9w3IYHLT/
sC9OZ97i41D9KLj68mR/7ibNVWvu05glmGeQ3ZHV1jWbU+0DvSG6+MO8xI8H0eUzO8veKZ7vwgFr
dYJdEpiSb6g8cu5uuUCkyZCJ172uRRaHknKSiuGnaIcqFIIrVy2+3Cd4/9FZSXc4G2dkKDJ0GF1r
WAFCoUJsnkzXMdPXk4DxQjycZUwAOo/0N48xj7lgmkARx0XhuYgkD5uwvpLRHMquWU08va0ytxtT
BMMoWg6o5MjcUtl0QxfgkhHmE+YnaToT33FBBrOHyeTroVdqT3bnQ70wNHvIbb6jCW0fFoVas6v8
ExqusIASktZeHn4eihwFm3SI5ua1NsPOnMeJLSp0Q1ag46Zw1uouREGm9nrj/2Fy/faBlliM+JcT
g3k9VcetsTwBuR02Kng2rcvVUOUWE5ZBnwrT9D17FEbpUgZLcLhd8jhYBkn7qBP7lBRWBuDTs69m
2fp6wru4SU6yh8mBk24j/K5qBfob8sXGu97DopGxtJ6MeUZHF6Rs8i8ED2ZmkLGJZ+JesI2Ad8Ld
jyt/tzandFTsZc7rS6iuWPkHycUq6dfE5vmSWkVkFiSsR3Yvr9hnlZjgfE/4wRF8XHR58z7yF/kN
EwYKrhP52E1xEd11v86PJ0DaYiI3gZ+DPyT0FNufhqedXYbaOa0WpXrJqV4HeBvysKkZRRDknf+V
QRzKW6z7c7yhdQCk+hiEIRYJp0XcsEI5ec4JDY/ziqyjQo95flzAIBqXje8pYMukiPQPlaJvZwWL
s/LrUSDUdtJJX2KCwloxsHHDbGcox32mRWbk0LS+vv3oFDwFDF5yAESHgH+cRN8MC6xJtKT2b3Bx
lioRtNjoFYPKcb5qA0X2RR3hjebrDU4Utu4T8VgbPUFPWFfEPK3SCINiggIqxf9fWc12NMnCdT2o
BWU4gSlcTtvNQlv6vpf6xagwKX7l+ogWNcYDt8lvlLFfEU6GdXE+IL55CAoXHlu06hzqZz5VBdNH
Yi0txgwd6yRIoqLI7XrDJ9ofRRaHQjGyEOjbHwX746ca/xBF7Fnfl08wgHqnc6vwMG+SYqfCxQMl
KS3F3V21oYcpq5XKhUimvco8uGEICOr3GO/IekmrtP4eNQcJXH1BHANMfGSXfAIScU6FRDlMiTeW
34xZD0nfSbefghSBxcWEIlj89KPtdcrviI0ZEieM/BbGZ/1EQtqgQEpXuIt5GoKcTnQagg8ewUtQ
zE/tAQTOtp0CmtLsNTVs+CVEa2zXtW8R/8BU2Hg968Tqcv3/eMybaRR/4+gryBceRd6G8ExDjUK1
Pc2PICUyEXHnImAzhr8lP4Xvy6fXokMoKaOyim2xaY8rU5j/krFbpOBCrGG3NiI14N1xJ2h9FRFp
NOMpIMpCJKinnFuUoVwkCDxi8BuE/bSIZjFf5QbHpIwoSrJ61cbFmJnchTKBAspliYqzCZinoYRu
SFoMR038/xXrzUxltVtBEqUG+DjrQQRDDhfhcDH8qoG3Od8GtvFyCu70YcTBGYjP9P37PNz/06DV
KHM4433OfsM4WiYrdeIikdOeTTHSTRWesSx/UpNhilW1lkMxuIE15Y1cOzG8dbTwg0dO7pmRDvGT
ocviBjqL2eMwxAwjvb3CyithDfkuVpuDwvwCDUS67yWZ0DJHGeqES4DotxawawvsvICU1iyvcVZQ
OvU0Y1F/B/E4IoYDEMHqmXMZazsYdlTOEPdj0Iyvr7TlG8xSyHxtKJ5+3SY0Cwoe3jM7CFD1kW3a
lHILYAcrq1D4ANkWzogzoEewt73xzfPzKkiE3X2hx3lOoA65UcUK5bUrDN3xI6GnLDo2/MBzgA1v
Y/ZJ4czEmbyMUOPivSEr44fg+Au9M8ZrXaqwI76oF79xhvIciGN7wSS09nVNyoMQW/jWg2yNAE/U
k/cVLUMPAcLNIS/i/ywO7wUjHXRtA8ZxyjVjEnoslTW7faioSaOzfA81Mex92fZInVAWARKi+fsX
0mgeRTrjC1+w2BFZL+6tIi3yHBbav5f+Kozk4x/fH/9r6jhK14mBYlQ7ioRwGN1P6cMqZsxvEqsg
PT+4OTZ+JH6l3NsQIgf8Xl/wZ4JWeLZm2bpDL7rHrlOJ3wf38vkpYs9XKhnspaTnUaJLiNhTMkAq
C/y93W3hZxyUytLFwXoAJr0jhCxbTvJsAqPHqj4eKzCCVDgZpB2dGmX4r78u374Lpb+fwv/Sd5eE
HGEmF+TiOEbj23ArT2cofj0WOsyV9xwut7BZtNCcRePsmzvSsTFqjqwldfXTIMFOPVDsdv/Nm1BO
DxJOojzw5BXuSiUCaL01u/3885Ssdfs+LbYpLSgUpf8T506W8yaZWrUc2t+pbHK9r2StYLk/Zbc7
lJLbsnzYB51qlZzuULJ2aJmwwiBOWtO4LQwkjEtqorVkZYqF0siXj0kGbFUE55UmtlEtWDrFmEg2
YiX1Dehm+spB+8Qdc22mDMwXl8OQ+aNo+SyJN6CgUaV959lN/+VdPh6blJuUyn+8s0HQw0xd14Vt
D84FaMIkVnkG4FrwSEMMxg4H8QoPKgjxVGQVkcRiDg1uEXMiRVAeThMoOBKy4a5zyHtk04EjbjSR
rNeGIchKYF7Lz5K3rAbj3UDvry15Tsi/1/7knp2driLBMOgYO/PZza2qAsOlOPabKaFBy4RHtlZh
fOQ5N/75lC+K1UhILpu8cb1ufeedWWf3sHeo66G4rkGC3Is1LNpjsNOBtTfdmHciFGZnqtRGpsCZ
hm8iULKjx2mnpWaeoNbKrLJ2UwuJFn8ZLWta5hbWdBrSZOImNWCaBbRNfg9CE+xTKs0JPgWyvBxE
wNPmDH9fMhVsUQHIj9YXQuPlj8zYE1V9D4E3EGJbA9vqOqGTfunis0f5+HHI3Xy4dPo77s3Xq680
D4zTxY175LLsYeoesTwA8GwF26TuTflYuIWJxMoFiBx1I3DqgURMnDXIX9Z9MbnlYWdETSpHGYAy
+qaX9Mx7cocdv3rZzVJAU8N4m8qczWB5CKOYRKDKNeOc0ZDtdgWRTipeopPrEvy4IT7PmY4Khtxx
1R186qk5WmC0HXtdFp7z7/HLQc0Ywze5cApMUqdSVBZaNRgN3LJNXOLxX2G4Hk+CQZbPwYr0GD9s
JtPGlCyTWJhEOl8+XNrcuvtomQgG7ExCUTxeOxZAYV5M4vsqVISbvSif6wV0S4bcSOwYAvU3RkSB
GXPH7gaiOyVGgSbOKDVsJ7AWOuyw37gwD5ADY+I6oZJ4xfPhbN5xNMI2xm6JUxpUnfehMVpRaM2f
9cv/Pm4ispOCI4vnKIbYdk8rFk8uNDmFa/jcBuU/PBIXsQMwnPtfDBhQeOb/aQnRievuL5/YzFwv
JreL7X1L6ECu6FyAFwfie1NeJbmvi+IahwCUSLWWB3sjcxyy9xm7FpKOpELubjGDmO9zsPfiLB56
vdEruDUHTsHhPoJgj8hqjW+CXOKG0M+tmpTd+epR3EN1B559jgE1cp/rNykFNm01KW+l8zy4eFms
3KOqGihUiMx9cHuNuv4EvePwRogLEVngOMIsrwXc/wO8K3cySwpnsy1sj0CrwrR5BPkQgBXoL9DP
EpX3hPni7n7odTJn3GiPBOULHwTpy4x3bAEiOrnlbW/M7l5Yt7sMrDJ1jwWkojZNvdD42sDPGa7a
/o5vAkfbO383jA1zxkyB+akyn96prj0LRCao4UAuriZcSaMXJEwZ5JUCfGX6IkmlD3x8dzaoawb+
ks73LiuimM2N14ClBQTNBtP0UEBRREMEwmtDhT4vXw+//QCaDfmtSQTNMj8tZAZDq6WrVfPFnpD0
H+WkQYQhtky03SOxgoEXTHIfSC4XvtXqi1d06KZC2OSd1HVVwdEeqpq1ZFSZO53xVflIbQ7VnWKe
7I3ElP+MVLHtUk/I7IT76JXU3JXRGbyVFZGsS+tGoaerY0ZcmFfhagQ7CbfQdezfDxOHbjp25y3d
B68ozM3mESRXCwsKgIW+R72QfzI0YRtUo2l8d5qivaQYDnFpWmXg5bVocVDWJo2n1iw4n7Bb1qIO
30L78NXYSbWIOR1bj3cDHstUtmjEc96wVifDfNyoHy7SO9xWqSIwu5gkfdNyPZdzNVblZPBkXVih
LLWhN0300JZbMlaagin4na6bHtHFu5tm3dHCHXrzFrxdJ3B5/s90EtK3BWciBmiGEcCq01E4DuRL
6iKVKWTDADxGAgwF2tbcceK5pYuCEKY30y1Aqz8U21nFO4Jay1df5iurKc6ITbiZqPPPpOIrkQV6
SnjuiQEaxwegbXBoMKwvpMngUEf6jbUndNSfKcH+AbyMVwSnjz+BJui/gkVIEkDBdHQyttNflcW0
oOvZ4GL4ceWmFYOu6z4XH4yMvf+fPJ7//bi4dWF+Bgk36trYcf/yKPHeHzNNqhQcbRbcQT+Nb0+k
EG7cTSIMB0eMcv/VHrzKS8qQX5xpFYbaJMvEt5IYb4OQk4U86z5RB05p9KENnQOKPtBO+hfDKgX9
RDVhSzfNWxJGwPco3XlNmCptw02Ij1w2Xy0+ER+kLT14ARQJAj1jnZJ14oy7aT2w96MMbKu9M7JY
E64/KeHct6sHGGQ5A1S8n6emuB6wSX5BBkoWsYbMsXsp9nFvbR0oOJyrUd0NcekxWOcBsa1NF7rD
gzF0tbEtUJmnpOG4yIckEYM0Uum4hgV/AHf5sxzgorEA0Jeg435rncyShGDxzeiAqfDoEZrQUgSj
Eil74oSiiK2ojSLYC23HJnyx3lUKY5u0bZgtqxkSuloxs436lv/mvds9szvpKpGDsY8BmQYDBN07
zmLm4nzW0dhBXrz7wA8IOS8kIWVe2JwM7kKQ26kokeCyM0AXrxYpbjXm1mC9Yjm7zvHMRIDf1GRL
IVF6Ab9H/tQwzkpXHdaorirfKXVfl+wZCBlH1bjQx6YtAj6MtHaf6Otwzf3roe4xDfYGc7tjCy/G
gqxL5AU9OjuwvZCOjc1i+sofR3Lo57PjC/io1CTf1C6EJsKY3bguIvTTCqt8tzuIwtdBhkgSHNP6
S5UhYlHQUtEIyB587dQt3Ho+lQoWWeAVU98q1kMHkjxdITqCiZfItxETU/qqeayhyZzW1xWiloBy
Ux/Q/nFnFVrwRu9LOkuH1bsGLiSNoeM9EDV51kbVghPbCCYngD1F40TWDQsbUYt7GY1cxdK9ISDO
m+DHPKGMr9qbkac6TmcfslH/HhMNfYUubV97H6WTllQHyDf0QduHvOoJ47bMUWwYBJT25Sd3Xx8u
aRdOpPJpEeol/r8ilXroD6W5F6OzqLzjhg9n7uE8csmj1VRuU2whaIOSLWll+uG+7TbGqZw/zZZE
9+yxhqCykyLtInuvbOJlc+22IvXnUEy+d9w4+GMvPWCJiagJJIlMBwhGvkROV7NeKyt5Ffo60Pl6
t2SaXgXvLkLJMRW39equ7WO7Y9CivO6Qz1zxYmTD9JE8Gjj85FYqY03bQSps8BLyHAn9NkgWzcOW
MWYB+tKGoUrRhw2TMPuNoBteqi9HEI4duZ+mlaWoZ+6jwp//Ld6z25RGO38ip51+53MTn95Xby0S
NcK+dhI8i5ACcTPEfh8/71RyIBHn3BNrrh8f0i6sl4H05ozgBgkUGxyO9onkv/jyz7UVywuz9XwZ
odUjTrAUDs8pAOAkmwXMNdXS4Cb0beNEgG+ENFPoEiRmOgXmmpiJg6f0BKzODDCGdOOTis/bFCt1
QgapNyTXEgg9GtSXq7LSkzB4hoRIQV3myxLb8V51WsQDrwSAxgIP83K9MRTpv+bi0dXY0hfYsuvn
WURS7QnxlJ9KGMaQqbXYzv/ru0jUFwD6WIpCnH9cplrq/AHx2kHXChpV0dQFHiRUvfb/FwFmn0pb
OAsUukv/DindSs6Oc00WG4lRJN59j4iTEdDvGm4bb6DWzSWfFNj+xDb2cgBJMIKPKqIm/IUyqfr6
Gcv89L+gAOqw6b2ln5J5TfPkXqZ5QjRGR/OC9WQjbKRvOUuOIXRan5/LO1gndIPhTqrwaIUopZbj
auf7kg8K9MC1A7cEctocE2R3mgX6caIXfDdEovQB+ySvyQwXyMNXlf89LX1dNi5hG5m6Zzk2SypN
RFaDizKER9zn5tzswdizWS21hOYh3fylR4zqThnVCXINuntU4hSfp9LFnPab32EAhrAWNBMTj/E3
rdOnzQ9LSuqyxpLRddGpA42KrPlk2kCrfWv91kQZ5TQDIP4CA+k7PPPNvfaCVnLxVDZ7C9iXR5c7
pVTDBrSvfsWyy5W45+PvVDl8HrKVTed1PEdWsct8LBqpVPxuzCyLPpuobFd7tJ+QUuvLOoq+IchV
FhfkohIkxRZRU7bqwPrQBnSGXaI0z9stldx0kmlV/gHKP/eHOb8AXRGHtY2x7cvpfwLBqjcimWHj
xTU4sAdsSFmmZn4jEFxQox9W/KFelPbIKvWpZufP3+LVClVdCdJMMeuuc6e6XFztKIAnEppQl13F
1oGfvG8s6/p+3eCf4Dg5vElcVHlYraDAwkGYZkk6uCwI+KzjKckTWUPriowpFinryftX2ciNOr7Q
pUiO+tjS0vpRiDOBTmDRlRyzMl9sEMDgUKwUMA7vcy7SEbTu+tqtxsLKHvz5IqavODn/3orcNHJz
S1gboa468FE/qmWcA7S6VFTxFQZ95h01Ekh69N4EqgmxnsixEe2I5Sa45VAUSBRG8tvpT0adRxqj
mmKyWwYGVS4FcguwjqXXX0iUDcvuW3/ZrwljrS88DcVEJ/K1IGskTAmr3rdh94RakuEeSSzgU3Q4
QTZ3c4RmLQmLbfe3RHEE+ZAcv7MffyeuQt2G2SxoZJuhWvhQSkMs4yzMr0pfo4iCrF/ro1qy8GbU
Qp+BYPeKiRe1syiBoufW06QeMcNa5XoPYwqt5ueQzn3+9elpSIBXyqjsw9abNIv5M/ssOYoEL74r
nPfiD0pmHgHxwKQC6B41eP59VKLmcNF9j4A1S2z5n8iyM06IiqT2PFBzzJe04Z8l3OZNOq5vLNgD
s3Kl5m6p4fu/nFqt5kkfdvbxaQaNDjJ2gROhdK0inlcWTYdQpyw1Rp7znmgW2RoKdz7g5ioI4FeW
AS29RnGxCAGB/grmzfuOafPFW2xlq+jQzKm9uv+ri3AkODmFAvhjDpy3Cy4Z3mkMsfqqX9kzdTLO
o4FmDOxUQ/otIoGjkSMCxsdJ8ufAcr9SBVRscIXFTU5Q1jE75VP7ppdvjxLEUoyONaaZYyhASZx8
fwdpQvpfcXKPY8DSiDF9lFz7a/zIzP06ayiAfSPjC1leWqzwvQFtiuXAFAeuZ/Mtd9PEarv/jxNu
iQ96x32+SZukmv/iJYzOM/zAxjFGrckkz4YUfNwqwArz7M0bxvjb8J431Vjc415A2rTDkt4jeHi1
wwXWQ9P8Y8T5tWyj5C10neDjFOhFV+LQLipp3HlIe/Ca/YJbg1vUWqyXqBmNnQfEO2UmSqveNpUe
cqzxPaiL5XPt5+Nl4u7WU3AnRmCI+2EHUlhX660gEwNNU1OYizGg8kBQgC9Y7i2tNltZX32ofNjX
sV7cJDMn8nxrxOwxWLsg1/Y9Timv065Y64JBcbyIajLsZDsgWR1bojTRfZ6HbeVIIXbiSt56+wjB
R69WQo3aGB/Ha7E4Ak5CgLgBm/gzJLhxDslZyd4fLvaliQEUNDDEkm/fDH3yNDd4kqo3wGGu2t+B
FqQqOGmv3rSfUVS1C/M8cP2DovDkoSVDitwJD2BNnxd4alcQA1LOYgemGg9khsJw9JycJRNADXg+
1pcG9V/gSkQYwZOsdKkUensqb4f/8iQ6j4YY7W+pSKxj2bbu6jyUTcMWwvA8FUqLqbqwTyD023rv
TQrpZTQ8D2FJk9VEwlKe8eoaUrPVxcOk83bHv8S4t5Ixs5efqE+OiBqGAMl1W2lYtLs/X5PYbvMn
Qp6GDJLQEFc2Hjc93PNoHnxtEZ4/CDDQ3HS3og8rFaH2qBt1/X0vnZ5MmfyGeIcYKnw7N22f7lyn
u+jzDgfgxxaNYE+MusBj646b2AOQqLq0iwZDMXHreVx1h0Z51SAq+0q4M5vE9KE64VeD4CXU7LMH
exCfiTH29696/M/1ZOkwEfvc0UDC1P3jsQKehyzNnWyG2b5eXKGg1G/MTDEITys9StpXow6Ym8P+
x3ho0UKGApaqNLrGSNCu4kmOU7+ggMSzkQ1sYWO21s/XrihChkRJziiFGuefNjJeNWW7UDU6bSoL
jcoIMu3R094Um+jqvsuTjvR7kNsFuswBRc8E1zYZidhXWxfzaxc99hC6xV36rHTKCGpcr5PCUtOR
g2qwnibj+aFzGePSa2ErCAzNdXcAe5ttbjPgceoENKfXFiL+B9d0kUSgl2SBgD9fRw/EvYgkK/mT
bbgTdwguGlfTQFuJlQANHZNNt5zxYWBe7SFLiY1RDH/d2Lb20JUB2OECZlKyJKqQcx6cmokRbZSm
7GoOyQyHsGfJRIbXviZE7WXmi7nOCjwAxaN8iTcfBzmiBhPOMVxEJPjbSZ8o5bOrUPuQ284gW38S
7kHoT9aMDSVyPNLNVwhf25ZCOmAZ/zHvGSp+IblIGu0VhBr/ME3Od+4yGMSK7rwoR2JwRMMRf8Dl
4Rd/vLvlUMPHQffcwRMDh06vgctL0JdVfKGMzqC+GnOxAgLV+0Cotefb3pmoNUbqX2DAa3t7dRNL
Md4djnCd2Sun5oqAUPiZ412NG7qqTq9bIZx1+l45EdgZJy0EZbkENhn7Y8Ly0BTiU3Iq02nZKki3
1wOndJSYzDu4GBdenINWirUjaz74BJcq8Jk8FI+gPdhK05fwPaXdsOSwh364u3e13LSwUZ/ekTt0
isKYivY1vSm2IPIXFZGpi3WCa0xX+McGFh02kS6aDwkLDX6OdCsc+LOPGZt++IzQCE93sP3t8Zdy
urL+eXM/Hhcc5P0xu7sTR+bKfgD+YVNy9BQ6JrEBeiXC+F1+nqFqCCLE0NwTFVRWJ9FP4VlJgj9n
ho6cLe3iN4iEEi+IU12l/JkqKsFwtY6lMzDhUQBJTHE3wutAnW2wxHEsO3CG7496FwUI+gUtevv5
AUE+XKZ77M6MYPy4w3cJJsHeA9FJamLg2OK/7ZSYU2Q6+zE986eGFlFJxbIyFhyWLqR99rnBekzf
u12ANdF8phm9KozwHWgzU/lgw19Qem32bXLEItnMmKpzWR5AJEUjlPDTUA7bn4AJafHF9z+GY4E1
gX502XsgacYrnE3PKhgn1e3zwPB1p40OYbzeGNIN1YTHPqKG32MwDyvz4BrL0O4RxclyiLCQdKEE
AtJWWAMwzgRJwuRBI1BHZqYEA+SFz4ImlH2GEeo9aaFVehl2/dwMvQMvTNsQM1PO0Y7Hjo/vTVzX
e8N2q2GY8es0IhA5o1TqhCQrNSaP1m7U2LIiXhmNQDsosnfayIO9r0lclZxPiF3AdQ6efVClps7+
XPuAxNUXYYR5nB0H0qF/05q4yCxY9CCD5JwsIDgcHWZwRPiab4mD7K41vukIgzXV43c/T+1ttx7y
0fPhFFQ01xvpHJjPmTVWd00TtK+XHZP89YeLdqKZkH2UdNOfkElJexWt5dWnipiQaO+9z+Q97hIq
QRF24OyJttuDyzUKJqMZm3CHPu9cVNb43MAnB8ZnfdhcBOffBUPoQv6Stj0X4r0IthgQyJCwNgrS
7ObMeGGxQlDEbM825CtQVDfdQlfZ0LDMU5DOP3pRUmH0GnesjGdiGEd3EyaUNJt2F8TJR/I8z/46
YFfEt4gs41hbxp5NEpR+j5r0gyudfI2nS6x1+w9D+rUALETK3jRcDJkEwLNoFB/z1pdPSqPiUKIS
IO/1LLPq38z5+TPRY0sDyTEUPt1ew0ors98q8TYjwWWO71wHrKH8qCEq7PF6AVdVKvRyUV7UqiZ5
VEYd1LgAbeWTboK0rz+tA6wdv/eMob4vmzFsuYZHU5b7Ju9f5LJUCGZaUeFJRgHS1eir2xzdLU3M
Z5CzgvoaGospvhj17g6B/HZerhi/NU+W7w0uYCN/PE6CG3eFfqR6/zEhPm9ypkyJZgRZ5eArn7OI
jISDbb2pYv903liiNvGKrTgaroO4ijPPXavug/r5VcIOM8YgXPqvkFe0WCDoP9Ys1YILK1Yy3hft
4WvUrH23KpekrtuESkLC4bPjJR9EOmtnpM1i9DvedwXJmc/u0d1ZH1MbVrJ78qjF85dktta4deTE
CsW8+n6AwQ11xaT2HOZgQjz9knjCHCWcBllRoG8d0BMJjJL9feEudb6UAMBnm1piencR+jvvrNbu
gCcy/fPwodNZ5ehA
`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
gI0Gib0Xo40tvaTEMw79aiJH1u4YEk6HVdqkbeCop9/2waoagY20R0hBuYHx56Xi3cH8QWvex6XO
QV3vawSgqw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
KoS1rv1CFUKYNXTl71AfETT1Kc5fYzKPPR0kXLN6Rix83Z8+HkHQ7xAG+RQ1+wYFYntMPFYXg+xl
jYaYcsZdTVoy/pFQfFzFzIHMvEDyhGlxcCwJE1Sl1y2uiMCYwOlqGqbs4oqeC3o5WmQMaISJXEot
laofg7eBOKIh5zVQBfA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
nvHBfVLXEIDiVREK1ZtlLrZ7D2o8+j0PfBQlUywpqi0LlzVpakFF1+4oQpQsRCjkU6FiWgvIYEIQ
xF3opsh3cA0gI37cHXNoyxKcLQxiBb2Dt5ILBIpVL/2lp5QxYdpueQnedGu56neNU/SdUK/337V9
TOPZhdfOWs0n9NO+6sHptKi0VUrQEbTdLyOPdpIvhpsiYtlGNt4H6j4UrXNCHEXrsRFrNNaL63L6
8A9bRCIq+R/MVFKYc7XGOwzyv2NvWJLzj8pWBtUQtsewQGRMkz+zKhrZYx9Pi6JkM3pg7prL1N2K
nVfeZOjki/Toly6hp2nAp6bI1GZLcIhnkXFrqw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
vERJPdx2yaiBZPvdkozSOrF5HOgqt7Ky7CQ6WmgQMDyJGvZ/HgSlR6X4yONOLwnio7VEgT81lblo
CsCnrdCzOuuwCgG2laf1xjkkb3zU4ZQnsAe32Rt5/hL2J5hXn3Xe1UN0lqFw7JHTWR84WXQLd5x3
SJohMIaugOcLRm0nptQ=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OLi0CblrDwZ0QzOLfc6fg5Rfw9iQF5lR1whM955YYKGPYYzsS7ozaU9fzcer/htJu88wCSAm9nY8
GwuyBXZYHAoEswCVjiHm/hXAJa4NSpRD2Y0IH43uSTW82VYmzpSX3Xz/hdynoXPQj7/wHKIGviHF
4Qv/YOhuU5xhwLsOvbflDS0t7ko6BuR9Y1fE2WdiWwm5DsArRvyqQP1GnbUDsot5a5O0Vfi2wkaR
oCNwOAbu/aYmq8E8iSeITBM+rpWhbyJN1xVoyS5ZIJxtCssx8Dk/FFoVwDgQbYhhPf4acGLSji/8
HwxODCLBNkqFYVyIfL9F+3f0FF88Zz0Jmn8Frg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 24864)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
gI0Gib0Xo40tvaTEMw79aiJH1u4YEk6HVdqkbeCop9/2waoagY20R0hBuYHx56Xi3cH8QWvex6XO
QV3vawSgqw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
KoS1rv1CFUKYNXTl71AfETT1Kc5fYzKPPR0kXLN6Rix83Z8+HkHQ7xAG+RQ1+wYFYntMPFYXg+xl
jYaYcsZdTVoy/pFQfFzFzIHMvEDyhGlxcCwJE1Sl1y2uiMCYwOlqGqbs4oqeC3o5WmQMaISJXEot
laofg7eBOKIh5zVQBfA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
nvHBfVLXEIDiVREK1ZtlLrZ7D2o8+j0PfBQlUywpqi0LlzVpakFF1+4oQpQsRCjkU6FiWgvIYEIQ
xF3opsh3cA0gI37cHXNoyxKcLQxiBb2Dt5ILBIpVL/2lp5QxYdpueQnedGu56neNU/SdUK/337V9
TOPZhdfOWs0n9NO+6sHptKi0VUrQEbTdLyOPdpIvhpsiYtlGNt4H6j4UrXNCHEXrsRFrNNaL63L6
8A9bRCIq+R/MVFKYc7XGOwzyv2NvWJLzj8pWBtUQtsewQGRMkz+zKhrZYx9Pi6JkM3pg7prL1N2K
nVfeZOjki/Toly6hp2nAp6bI1GZLcIhnkXFrqw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
vERJPdx2yaiBZPvdkozSOrF5HOgqt7Ky7CQ6WmgQMDyJGvZ/HgSlR6X4yONOLwnio7VEgT81lblo
CsCnrdCzOuuwCgG2laf1xjkkb3zU4ZQnsAe32Rt5/hL2J5hXn3Xe1UN0lqFw7JHTWR84WXQLd5x3
SJohMIaugOcLRm0nptQ=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
OLi0CblrDwZ0QzOLfc6fg5Rfw9iQF5lR1whM955YYKGPYYzsS7ozaU9fzcer/htJu88wCSAm9nY8
GwuyBXZYHAoEswCVjiHm/hXAJa4NSpRD2Y0IH43uSTW82VYmzpSX3Xz/hdynoXPQj7/wHKIGviHF
4Qv/YOhuU5xhwLsOvbflDS0t7ko6BuR9Y1fE2WdiWwm5DsArRvyqQP1GnbUDsot5a5O0Vfi2wkaR
oCNwOAbu/aYmq8E8iSeITBM+rpWhbyJN1xVoyS5ZIJxtCssx8Dk/FFoVwDgQbYhhPf4acGLSji/8
HwxODCLBNkqFYVyIfL9F+3f0FF88Zz0Jmn8Frg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 24864)
`protect data_block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`protect end_protected
|
------------------------------------------------------------------------------------------------------------------------
-- Simple Port I/O valid pulse counter
--
-- Copyright (C) 2010 B&R
--
-- Redistribution and use in source and binary forms, with or without
-- modification, are permitted provided that the following conditions
-- are met:
--
-- 1. Redistributions of source code must retain the above copyright
-- notice, this list of conditions and the following disclaimer.
--
-- 2. Redistributions in binary form must reproduce the above copyright
-- notice, this list of conditions and the following disclaimer in the
-- documentation and/or other materials provided with the distribution.
--
-- 3. Neither the name of B&R nor the names of its
-- contributors may be used to endorse or promote products derived
-- from this software without prior written permission. For written
-- permission, please contact office@br-automation.com
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-- "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-- LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-- FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
-- COPYRIGHT HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
-- INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
-- BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-- LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-- CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-- LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
-- ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-- POSSIBILITY OF SUCH DAMAGE.
--
------------------------------------------------------------------------------------------------------------------------
-- Version History
------------------------------------------------------------------------------------------------------------------------
-- 2011-09-14 V0.01 zelenkaj Extract from portio.vhd
------------------------------------------------------------------------------------------------------------------------
LIBRARY ieee;
USE ieee.std_logic_1164.all;
USE ieee.std_logic_arith.all;
USE ieee.std_logic_unsigned.all;
entity portio_cnt is
generic (
maxVal : integer := 50 --clock ticks of pcp_clk
);
port (
clk : in std_logic;
rst : in std_logic;
pulse : in std_logic;
valid : out std_logic
);
end entity portio_cnt;
architecture rtl of portio_cnt is
signal cnt : integer range 0 to maxVal-2;
signal tc, en : std_logic;
begin
genCnter : if maxVal > 1 generate
tc <= '1' when cnt = maxVal-2 else '0';
valid <= en or pulse;
counter : process(clk, rst)
begin
if rst = '1' then
cnt <= 0;
elsif clk = '1' and clk'event then
if tc = '1' then
cnt <= 0;
elsif en = '1' then
cnt <= cnt + 1;
else
cnt <= 0;
end if;
end if;
end process;
enGen : process(clk, rst)
begin
if rst = '1' then
en <= '0';
elsif clk = '1' and clk'event then
if pulse = '1' then
en <= '1';
elsif tc = '1' then
en <= '0';
end if;
end if;
end process;
end generate;
genSimple : if maxVal = 1 generate
valid <= pulse;
end generate;
end architecture rtl; |
------------------------------------------------------------------------------------------------------------------------
-- Simple Port I/O valid pulse counter
--
-- Copyright (C) 2010 B&R
--
-- Redistribution and use in source and binary forms, with or without
-- modification, are permitted provided that the following conditions
-- are met:
--
-- 1. Redistributions of source code must retain the above copyright
-- notice, this list of conditions and the following disclaimer.
--
-- 2. Redistributions in binary form must reproduce the above copyright
-- notice, this list of conditions and the following disclaimer in the
-- documentation and/or other materials provided with the distribution.
--
-- 3. Neither the name of B&R nor the names of its
-- contributors may be used to endorse or promote products derived
-- from this software without prior written permission. For written
-- permission, please contact office@br-automation.com
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-- "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-- LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-- FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
-- COPYRIGHT HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
-- INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
-- BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-- LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-- CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-- LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
-- ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-- POSSIBILITY OF SUCH DAMAGE.
--
------------------------------------------------------------------------------------------------------------------------
-- Version History
------------------------------------------------------------------------------------------------------------------------
-- 2011-09-14 V0.01 zelenkaj Extract from portio.vhd
------------------------------------------------------------------------------------------------------------------------
LIBRARY ieee;
USE ieee.std_logic_1164.all;
USE ieee.std_logic_arith.all;
USE ieee.std_logic_unsigned.all;
entity portio_cnt is
generic (
maxVal : integer := 50 --clock ticks of pcp_clk
);
port (
clk : in std_logic;
rst : in std_logic;
pulse : in std_logic;
valid : out std_logic
);
end entity portio_cnt;
architecture rtl of portio_cnt is
signal cnt : integer range 0 to maxVal-2;
signal tc, en : std_logic;
begin
genCnter : if maxVal > 1 generate
tc <= '1' when cnt = maxVal-2 else '0';
valid <= en or pulse;
counter : process(clk, rst)
begin
if rst = '1' then
cnt <= 0;
elsif clk = '1' and clk'event then
if tc = '1' then
cnt <= 0;
elsif en = '1' then
cnt <= cnt + 1;
else
cnt <= 0;
end if;
end if;
end process;
enGen : process(clk, rst)
begin
if rst = '1' then
en <= '0';
elsif clk = '1' and clk'event then
if pulse = '1' then
en <= '1';
elsif tc = '1' then
en <= '0';
end if;
end if;
end process;
end generate;
genSimple : if maxVal = 1 generate
valid <= pulse;
end generate;
end architecture rtl; |
------------------------------------------------------------------------------------------------------------------------
-- Simple Port I/O valid pulse counter
--
-- Copyright (C) 2010 B&R
--
-- Redistribution and use in source and binary forms, with or without
-- modification, are permitted provided that the following conditions
-- are met:
--
-- 1. Redistributions of source code must retain the above copyright
-- notice, this list of conditions and the following disclaimer.
--
-- 2. Redistributions in binary form must reproduce the above copyright
-- notice, this list of conditions and the following disclaimer in the
-- documentation and/or other materials provided with the distribution.
--
-- 3. Neither the name of B&R nor the names of its
-- contributors may be used to endorse or promote products derived
-- from this software without prior written permission. For written
-- permission, please contact office@br-automation.com
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-- "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-- LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-- FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
-- COPYRIGHT HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
-- INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
-- BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-- LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-- CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-- LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
-- ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-- POSSIBILITY OF SUCH DAMAGE.
--
------------------------------------------------------------------------------------------------------------------------
-- Version History
------------------------------------------------------------------------------------------------------------------------
-- 2011-09-14 V0.01 zelenkaj Extract from portio.vhd
------------------------------------------------------------------------------------------------------------------------
LIBRARY ieee;
USE ieee.std_logic_1164.all;
USE ieee.std_logic_arith.all;
USE ieee.std_logic_unsigned.all;
entity portio_cnt is
generic (
maxVal : integer := 50 --clock ticks of pcp_clk
);
port (
clk : in std_logic;
rst : in std_logic;
pulse : in std_logic;
valid : out std_logic
);
end entity portio_cnt;
architecture rtl of portio_cnt is
signal cnt : integer range 0 to maxVal-2;
signal tc, en : std_logic;
begin
genCnter : if maxVal > 1 generate
tc <= '1' when cnt = maxVal-2 else '0';
valid <= en or pulse;
counter : process(clk, rst)
begin
if rst = '1' then
cnt <= 0;
elsif clk = '1' and clk'event then
if tc = '1' then
cnt <= 0;
elsif en = '1' then
cnt <= cnt + 1;
else
cnt <= 0;
end if;
end if;
end process;
enGen : process(clk, rst)
begin
if rst = '1' then
en <= '0';
elsif clk = '1' and clk'event then
if pulse = '1' then
en <= '1';
elsif tc = '1' then
en <= '0';
end if;
end if;
end process;
end generate;
genSimple : if maxVal = 1 generate
valid <= pulse;
end generate;
end architecture rtl; |
--=============================================================================
-- This file is part of FPGA_NEURAL-Network.
--
-- FPGA_NEURAL-Network is free software: you can redistribute it and/or
-- modify it under the terms of the GNU General Public License as published
-- by the Free Software Foundation, either version 3 of the License, or
-- (at your option) any later version.
--
-- FPGA_NEURAL-Network is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with FPGA_NEURAL-Network.
-- if not, see <http://www.gnu.org/licenses/>.
--=============================================================================
-- FILE NAME : INPUT_ROM.vhd
-- PROJECT : FPGA_NEURAL-Network
-- ENTITY : INPUT_ROM
-- ARCHITECTURE : rtl
--=============================================================================
-- AUTORS(s) : Agostini, N;
-- DEPARTMENT : Electrical Engineering (UFRGS)
-- DATE : Dec 14, 2014
--=============================================================================
-- Description:
--
--=============================================================================
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all; -- is the to unsigned really required????
use work.fixed_pkg.all; -- ieee_proposed for compatibility version
use work.NN_TYPES_pkg.all;
use work.INPUT_ROM_pkg.all;
--=============================================================================
-- Entity declaration for INPUT_ROM
--=============================================================================
entity INPUT_ROM is
port (
clk : in std_logic;
SAMPLE_NUMBER : in std_logic_vector (7 downto 0);
SELECTED_INPUT : out ARRAY_OF_SFIXED
);
end INPUT_ROM;
--=============================================================================
-- architecture declaration
--=============================================================================
architecture RTL of INPUT_ROM is
-- Constants
constant INPUTS_TABLE : INPUT_TABLE(0 to SAMPLE_SIZE-1) := (
(to_sfixed(0.9595,1,L_SIZE), to_sfixed(0.2948,1,L_SIZE), to_sfixed(0.7523,1,L_SIZE), to_sfixed(0.5200,1,L_SIZE), to_sfixed(0.7840,1,L_SIZE), to_sfixed(0.7216,1,L_SIZE), to_sfixed(0.6024,1,L_SIZE), to_sfixed(0.4242,1,L_SIZE), to_sfixed(0.6397,1,L_SIZE), to_sfixed(0.4338,1,L_SIZE), to_sfixed(0.6082,1,L_SIZE), to_sfixed(0.9800,1,L_SIZE), to_sfixed(0.6339,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8901,1,L_SIZE), to_sfixed(0.3069,1,L_SIZE), to_sfixed(0.6625,1,L_SIZE), to_sfixed(0.3733,1,L_SIZE), to_sfixed(0.6173,1,L_SIZE), to_sfixed(0.6830,1,L_SIZE), to_sfixed(0.5433,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.3575,1,L_SIZE), to_sfixed(0.3369,1,L_SIZE), to_sfixed(0.6140,1,L_SIZE), to_sfixed(0.8500,1,L_SIZE), to_sfixed(0.6250,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8874,1,L_SIZE), to_sfixed(0.4069,1,L_SIZE), to_sfixed(0.8266,1,L_SIZE), to_sfixed(0.6200,1,L_SIZE), to_sfixed(0.6235,1,L_SIZE), to_sfixed(0.7216,1,L_SIZE), to_sfixed(0.6378,1,L_SIZE), to_sfixed(0.4545,1,L_SIZE), to_sfixed(0.7849,1,L_SIZE), to_sfixed(0.4369,1,L_SIZE), to_sfixed(0.6023,1,L_SIZE), to_sfixed(0.7925,1,L_SIZE), to_sfixed(0.7054,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9690,1,L_SIZE), to_sfixed(0.3362,1,L_SIZE), to_sfixed(0.7740,1,L_SIZE), to_sfixed(0.5600,1,L_SIZE), to_sfixed(0.6975,1,L_SIZE), to_sfixed(0.9923,1,L_SIZE), to_sfixed(0.6870,1,L_SIZE), to_sfixed(0.3636,1,L_SIZE), to_sfixed(0.6089,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.5029,1,L_SIZE), to_sfixed(0.8625,1,L_SIZE), to_sfixed(0.8810,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8928,1,L_SIZE), to_sfixed(0.4466,1,L_SIZE), to_sfixed(0.8885,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.7284,1,L_SIZE), to_sfixed(0.7216,1,L_SIZE), to_sfixed(0.5295,1,L_SIZE), to_sfixed(0.5909,1,L_SIZE), to_sfixed(0.5084,1,L_SIZE), to_sfixed(0.3323,1,L_SIZE), to_sfixed(0.6082,1,L_SIZE), to_sfixed(0.7325,1,L_SIZE), to_sfixed(0.4375,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9575,1,L_SIZE), to_sfixed(0.3034,1,L_SIZE), to_sfixed(0.7585,1,L_SIZE), to_sfixed(0.5067,1,L_SIZE), to_sfixed(0.6914,1,L_SIZE), to_sfixed(0.8428,1,L_SIZE), to_sfixed(0.6673,1,L_SIZE), to_sfixed(0.5152,1,L_SIZE), to_sfixed(0.5503,1,L_SIZE), to_sfixed(0.5192,1,L_SIZE), to_sfixed(0.6140,1,L_SIZE), to_sfixed(0.7125,1,L_SIZE), to_sfixed(0.8631,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9703,1,L_SIZE), to_sfixed(0.3224,1,L_SIZE), to_sfixed(0.7585,1,L_SIZE), to_sfixed(0.4867,1,L_SIZE), to_sfixed(0.5926,1,L_SIZE), to_sfixed(0.6443,1,L_SIZE), to_sfixed(0.4961,1,L_SIZE), to_sfixed(0.4545,1,L_SIZE), to_sfixed(0.5531,1,L_SIZE), to_sfixed(0.4038,1,L_SIZE), to_sfixed(0.5965,1,L_SIZE), to_sfixed(0.8950,1,L_SIZE), to_sfixed(0.7679,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9481,1,L_SIZE), to_sfixed(0.3707,1,L_SIZE), to_sfixed(0.8080,1,L_SIZE), to_sfixed(0.5867,1,L_SIZE), to_sfixed(0.7469,1,L_SIZE), to_sfixed(0.6701,1,L_SIZE), to_sfixed(0.4941,1,L_SIZE), to_sfixed(0.4697,1,L_SIZE), to_sfixed(0.3492,1,L_SIZE), to_sfixed(0.3885,1,L_SIZE), to_sfixed(0.6199,1,L_SIZE), to_sfixed(0.8950,1,L_SIZE), to_sfixed(0.7708,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.2828,1,L_SIZE), to_sfixed(0.6718,1,L_SIZE), to_sfixed(0.4667,1,L_SIZE), to_sfixed(0.5988,1,L_SIZE), to_sfixed(0.7216,1,L_SIZE), to_sfixed(0.5866,1,L_SIZE), to_sfixed(0.4394,1,L_SIZE), to_sfixed(0.5531,1,L_SIZE), to_sfixed(0.4000,1,L_SIZE), to_sfixed(0.6316,1,L_SIZE), to_sfixed(0.7125,1,L_SIZE), to_sfixed(0.6220,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9346,1,L_SIZE), to_sfixed(0.2328,1,L_SIZE), to_sfixed(0.7028,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.6049,1,L_SIZE), to_sfixed(0.7680,1,L_SIZE), to_sfixed(0.6201,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.5168,1,L_SIZE), to_sfixed(0.5554,1,L_SIZE), to_sfixed(0.5906,1,L_SIZE), to_sfixed(0.8875,1,L_SIZE), to_sfixed(0.6220,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9508,1,L_SIZE), to_sfixed(0.3724,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.6481,1,L_SIZE), to_sfixed(0.7603,1,L_SIZE), to_sfixed(0.6535,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.6648,1,L_SIZE), to_sfixed(0.4423,1,L_SIZE), to_sfixed(0.7310,1,L_SIZE), to_sfixed(0.7925,1,L_SIZE), to_sfixed(0.8988,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9521,1,L_SIZE), to_sfixed(0.2552,1,L_SIZE), to_sfixed(0.7183,1,L_SIZE), to_sfixed(0.5600,1,L_SIZE), to_sfixed(0.5864,1,L_SIZE), to_sfixed(0.5670,1,L_SIZE), to_sfixed(0.4783,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.4385,1,L_SIZE), to_sfixed(0.3846,1,L_SIZE), to_sfixed(0.6842,1,L_SIZE), to_sfixed(0.7050,1,L_SIZE), to_sfixed(0.7619,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9272,1,L_SIZE), to_sfixed(0.2983,1,L_SIZE), to_sfixed(0.7461,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.5494,1,L_SIZE), to_sfixed(0.6701,1,L_SIZE), to_sfixed(0.5433,1,L_SIZE), to_sfixed(0.4394,1,L_SIZE), to_sfixed(0.5056,1,L_SIZE), to_sfixed(0.4308,1,L_SIZE), to_sfixed(0.6725,1,L_SIZE), to_sfixed(0.7250,1,L_SIZE), to_sfixed(0.7857,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9946,1,L_SIZE), to_sfixed(0.2983,1,L_SIZE), to_sfixed(0.7399,1,L_SIZE), to_sfixed(0.3800,1,L_SIZE), to_sfixed(0.5617,1,L_SIZE), to_sfixed(0.7990,1,L_SIZE), to_sfixed(0.7264,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.7849,1,L_SIZE), to_sfixed(0.4154,1,L_SIZE), to_sfixed(0.7310,1,L_SIZE), to_sfixed(0.6825,1,L_SIZE), to_sfixed(0.6845,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9697,1,L_SIZE), to_sfixed(0.3224,1,L_SIZE), to_sfixed(0.7368,1,L_SIZE), to_sfixed(0.4000,1,L_SIZE), to_sfixed(0.6296,1,L_SIZE), to_sfixed(0.8505,1,L_SIZE), to_sfixed(0.7165,1,L_SIZE), to_sfixed(0.4394,1,L_SIZE), to_sfixed(0.8268,1,L_SIZE), to_sfixed(0.5769,1,L_SIZE), to_sfixed(0.7018,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.9208,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9191,1,L_SIZE), to_sfixed(0.3121,1,L_SIZE), to_sfixed(0.8359,1,L_SIZE), to_sfixed(0.5733,1,L_SIZE), to_sfixed(0.6914,1,L_SIZE), to_sfixed(0.7345,1,L_SIZE), to_sfixed(0.5728,1,L_SIZE), to_sfixed(0.4545,1,L_SIZE), to_sfixed(0.4078,1,L_SIZE), to_sfixed(0.5615,1,L_SIZE), to_sfixed(0.7485,1,L_SIZE), to_sfixed(0.7200,1,L_SIZE), to_sfixed(0.7798,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9643,1,L_SIZE), to_sfixed(0.3310,1,L_SIZE), to_sfixed(0.8421,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.7407,1,L_SIZE), to_sfixed(0.7216,1,L_SIZE), to_sfixed(0.6181,1,L_SIZE), to_sfixed(0.5000,1,L_SIZE), to_sfixed(0.5503,1,L_SIZE), to_sfixed(0.4769,1,L_SIZE), to_sfixed(0.6257,1,L_SIZE), to_sfixed(0.6625,1,L_SIZE), to_sfixed(0.7619,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9326,1,L_SIZE), to_sfixed(0.2707,1,L_SIZE), to_sfixed(0.8111,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.7099,1,L_SIZE), to_sfixed(0.7603,1,L_SIZE), to_sfixed(0.6693,1,L_SIZE), to_sfixed(0.6061,1,L_SIZE), to_sfixed(0.4804,1,L_SIZE), to_sfixed(0.5077,1,L_SIZE), to_sfixed(0.6608,1,L_SIZE), to_sfixed(0.6425,1,L_SIZE), to_sfixed(0.6726,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9568,1,L_SIZE), to_sfixed(0.2741,1,L_SIZE), to_sfixed(0.7678,1,L_SIZE), to_sfixed(0.5500,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.8505,1,L_SIZE), to_sfixed(0.7736,1,L_SIZE), to_sfixed(0.4848,1,L_SIZE), to_sfixed(0.5196,1,L_SIZE), to_sfixed(0.6692,1,L_SIZE), to_sfixed(0.7193,1,L_SIZE), to_sfixed(0.7050,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9198,1,L_SIZE), to_sfixed(0.5345,1,L_SIZE), to_sfixed(0.7926,1,L_SIZE), to_sfixed(0.5067,1,L_SIZE), to_sfixed(0.7160,1,L_SIZE), to_sfixed(0.6959,1,L_SIZE), to_sfixed(0.5965,1,L_SIZE), to_sfixed(0.2576,1,L_SIZE), to_sfixed(0.4637,1,L_SIZE), to_sfixed(0.3923,1,L_SIZE), to_sfixed(0.5614,1,L_SIZE), to_sfixed(0.8400,1,L_SIZE), to_sfixed(0.5030,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9481,1,L_SIZE), to_sfixed(0.2810,1,L_SIZE), to_sfixed(0.7059,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.7778,1,L_SIZE), to_sfixed(0.7732,1,L_SIZE), to_sfixed(0.6240,1,L_SIZE), to_sfixed(0.3636,1,L_SIZE), to_sfixed(0.5866,1,L_SIZE), to_sfixed(0.4346,1,L_SIZE), to_sfixed(0.6374,1,L_SIZE), to_sfixed(0.9275,1,L_SIZE), to_sfixed(0.4643,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8719,1,L_SIZE), to_sfixed(0.6552,1,L_SIZE), to_sfixed(0.8204,1,L_SIZE), to_sfixed(0.6200,1,L_SIZE), to_sfixed(0.6296,1,L_SIZE), to_sfixed(0.6211,1,L_SIZE), to_sfixed(0.4744,1,L_SIZE), to_sfixed(0.3788,1,L_SIZE), to_sfixed(0.5531,1,L_SIZE), to_sfixed(0.3462,1,L_SIZE), to_sfixed(0.6023,1,L_SIZE), to_sfixed(0.8800,1,L_SIZE), to_sfixed(0.4583,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9245,1,L_SIZE), to_sfixed(0.3207,1,L_SIZE), to_sfixed(0.7307,1,L_SIZE), to_sfixed(0.5533,1,L_SIZE), to_sfixed(0.6235,1,L_SIZE), to_sfixed(0.6727,1,L_SIZE), to_sfixed(0.5669,1,L_SIZE), to_sfixed(0.4091,1,L_SIZE), to_sfixed(0.4721,1,L_SIZE), to_sfixed(0.2923,1,L_SIZE), to_sfixed(0.6491,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.6161,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8665,1,L_SIZE), to_sfixed(0.2759,1,L_SIZE), to_sfixed(0.7802,1,L_SIZE), to_sfixed(0.5933,1,L_SIZE), to_sfixed(0.5864,1,L_SIZE), to_sfixed(0.6392,1,L_SIZE), to_sfixed(0.4665,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.4078,1,L_SIZE), to_sfixed(0.3023,1,L_SIZE), to_sfixed(0.6374,1,L_SIZE), to_sfixed(0.9075,1,L_SIZE), to_sfixed(0.6042,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9103,1,L_SIZE), to_sfixed(0.3121,1,L_SIZE), to_sfixed(0.8080,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.5926,1,L_SIZE), to_sfixed(0.6521,1,L_SIZE), to_sfixed(0.5138,1,L_SIZE), to_sfixed(0.4242,1,L_SIZE), to_sfixed(0.4637,1,L_SIZE), to_sfixed(0.2708,1,L_SIZE), to_sfixed(0.6550,1,L_SIZE), to_sfixed(0.9550,1,L_SIZE), to_sfixed(0.5030,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8800,1,L_SIZE), to_sfixed(0.3534,1,L_SIZE), to_sfixed(0.9969,1,L_SIZE), to_sfixed(0.8333,1,L_SIZE), to_sfixed(0.7654,1,L_SIZE), to_sfixed(0.6778,1,L_SIZE), to_sfixed(0.5276,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.5363,1,L_SIZE), to_sfixed(0.2754,1,L_SIZE), to_sfixed(0.6608,1,L_SIZE), to_sfixed(0.8000,1,L_SIZE), to_sfixed(0.4940,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9029,1,L_SIZE), to_sfixed(0.3052,1,L_SIZE), to_sfixed(0.8111,1,L_SIZE), to_sfixed(0.5367,1,L_SIZE), to_sfixed(0.5741,1,L_SIZE), to_sfixed(0.7345,1,L_SIZE), to_sfixed(0.5787,1,L_SIZE), to_sfixed(0.5152,1,L_SIZE), to_sfixed(0.4050,1,L_SIZE), to_sfixed(0.3692,1,L_SIZE), to_sfixed(0.5380,1,L_SIZE), to_sfixed(0.8050,1,L_SIZE), to_sfixed(0.7113,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8968,1,L_SIZE), to_sfixed(0.2966,1,L_SIZE), to_sfixed(0.6625,1,L_SIZE), to_sfixed(0.5667,1,L_SIZE), to_sfixed(0.5802,1,L_SIZE), to_sfixed(0.6186,1,L_SIZE), to_sfixed(0.4311,1,L_SIZE), to_sfixed(0.4091,1,L_SIZE), to_sfixed(0.3771,1,L_SIZE), to_sfixed(0.3038,1,L_SIZE), to_sfixed(0.5965,1,L_SIZE), to_sfixed(0.6925,1,L_SIZE), to_sfixed(0.7649,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9353,1,L_SIZE), to_sfixed(0.3276,1,L_SIZE), to_sfixed(0.8669,1,L_SIZE), to_sfixed(0.6467,1,L_SIZE), to_sfixed(0.6605,1,L_SIZE), to_sfixed(0.7603,1,L_SIZE), to_sfixed(0.5846,1,L_SIZE), to_sfixed(0.5606,1,L_SIZE), to_sfixed(0.4916,1,L_SIZE), to_sfixed(0.3462,1,L_SIZE), to_sfixed(0.7310,1,L_SIZE), to_sfixed(0.8500,1,L_SIZE), to_sfixed(0.5446,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9454,1,L_SIZE), to_sfixed(0.2897,1,L_SIZE), to_sfixed(0.6842,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.5926,1,L_SIZE), to_sfixed(0.6830,1,L_SIZE), to_sfixed(0.4587,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.5531,1,L_SIZE), to_sfixed(0.3615,1,L_SIZE), to_sfixed(0.6082,1,L_SIZE), to_sfixed(0.8975,1,L_SIZE), to_sfixed(0.6161,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9258,1,L_SIZE), to_sfixed(0.2586,1,L_SIZE), to_sfixed(0.8359,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.6235,1,L_SIZE), to_sfixed(0.7732,1,L_SIZE), to_sfixed(0.6398,1,L_SIZE), to_sfixed(0.4394,1,L_SIZE), to_sfixed(0.6648,1,L_SIZE), to_sfixed(0.4385,1,L_SIZE), to_sfixed(0.6959,1,L_SIZE), to_sfixed(0.6775,1,L_SIZE), to_sfixed(0.7649,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9157,1,L_SIZE), to_sfixed(0.2862,1,L_SIZE), to_sfixed(0.7307,1,L_SIZE), to_sfixed(0.6367,1,L_SIZE), to_sfixed(0.6543,1,L_SIZE), to_sfixed(0.7371,1,L_SIZE), to_sfixed(0.6280,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.5447,1,L_SIZE), to_sfixed(0.5308,1,L_SIZE), to_sfixed(0.6374,1,L_SIZE), to_sfixed(0.7200,1,L_SIZE), to_sfixed(0.9018,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9225,1,L_SIZE), to_sfixed(0.3155,1,L_SIZE), to_sfixed(0.7307,1,L_SIZE), to_sfixed(0.5733,1,L_SIZE), to_sfixed(0.6420,1,L_SIZE), to_sfixed(0.6237,1,L_SIZE), to_sfixed(0.5295,1,L_SIZE), to_sfixed(0.6364,1,L_SIZE), to_sfixed(0.5503,1,L_SIZE), to_sfixed(0.2954,1,L_SIZE), to_sfixed(0.7193,1,L_SIZE), to_sfixed(0.7175,1,L_SIZE), to_sfixed(0.5893,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9278,1,L_SIZE), to_sfixed(0.2638,1,L_SIZE), to_sfixed(0.8359,1,L_SIZE), to_sfixed(0.6500,1,L_SIZE), to_sfixed(0.8148,1,L_SIZE), to_sfixed(0.7603,1,L_SIZE), to_sfixed(0.5394,1,L_SIZE), to_sfixed(0.7576,1,L_SIZE), to_sfixed(0.3771,1,L_SIZE), to_sfixed(0.4154,1,L_SIZE), to_sfixed(0.7310,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.7351,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9110,1,L_SIZE), to_sfixed(0.3103,1,L_SIZE), to_sfixed(0.8204,1,L_SIZE), to_sfixed(0.6333,1,L_SIZE), to_sfixed(0.6790,1,L_SIZE), to_sfixed(0.6057,1,L_SIZE), to_sfixed(0.4980,1,L_SIZE), to_sfixed(0.4394,1,L_SIZE), to_sfixed(0.4302,1,L_SIZE), to_sfixed(0.3231,1,L_SIZE), to_sfixed(0.6433,1,L_SIZE), to_sfixed(0.7175,1,L_SIZE), to_sfixed(0.6518,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9090,1,L_SIZE), to_sfixed(0.3121,1,L_SIZE), to_sfixed(0.7461,1,L_SIZE), to_sfixed(0.6833,1,L_SIZE), to_sfixed(0.6173,1,L_SIZE), to_sfixed(0.6959,1,L_SIZE), to_sfixed(0.5866,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.5196,1,L_SIZE), to_sfixed(0.3923,1,L_SIZE), to_sfixed(0.6082,1,L_SIZE), to_sfixed(0.8675,1,L_SIZE), to_sfixed(0.5476,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8955,1,L_SIZE), to_sfixed(0.2828,1,L_SIZE), to_sfixed(0.8793,1,L_SIZE), to_sfixed(0.5167,1,L_SIZE), to_sfixed(0.6790,1,L_SIZE), to_sfixed(0.6701,1,L_SIZE), to_sfixed(0.5276,1,L_SIZE), to_sfixed(0.5152,1,L_SIZE), to_sfixed(0.3799,1,L_SIZE), to_sfixed(0.3538,1,L_SIZE), to_sfixed(0.6374,1,L_SIZE), to_sfixed(0.6950,1,L_SIZE), to_sfixed(0.5238,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8800,1,L_SIZE), to_sfixed(0.2845,1,L_SIZE), to_sfixed(0.7895,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.6049,1,L_SIZE), to_sfixed(0.6314,1,L_SIZE), to_sfixed(0.4783,1,L_SIZE), to_sfixed(0.4394,1,L_SIZE), to_sfixed(0.4022,1,L_SIZE), to_sfixed(0.3269,1,L_SIZE), to_sfixed(0.6550,1,L_SIZE), to_sfixed(0.6275,1,L_SIZE), to_sfixed(0.6577,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8813,1,L_SIZE), to_sfixed(0.2586,1,L_SIZE), to_sfixed(0.6502,1,L_SIZE), to_sfixed(0.5167,1,L_SIZE), to_sfixed(0.6049,1,L_SIZE), to_sfixed(0.6186,1,L_SIZE), to_sfixed(0.5197,1,L_SIZE), to_sfixed(0.4242,1,L_SIZE), to_sfixed(0.3827,1,L_SIZE), to_sfixed(0.2846,1,L_SIZE), to_sfixed(0.6901,1,L_SIZE), to_sfixed(0.6725,1,L_SIZE), to_sfixed(0.6071,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9589,1,L_SIZE), to_sfixed(0.6879,1,L_SIZE), to_sfixed(0.7771,1,L_SIZE), to_sfixed(0.4400,1,L_SIZE), to_sfixed(0.7901,1,L_SIZE), to_sfixed(0.7732,1,L_SIZE), to_sfixed(0.5984,1,L_SIZE), to_sfixed(0.3030,1,L_SIZE), to_sfixed(0.5810,1,L_SIZE), to_sfixed(0.3923,1,L_SIZE), to_sfixed(0.5205,1,L_SIZE), to_sfixed(0.8825,1,L_SIZE), to_sfixed(0.4524,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9144,1,L_SIZE), to_sfixed(0.2948,1,L_SIZE), to_sfixed(0.7152,1,L_SIZE), to_sfixed(0.5400,1,L_SIZE), to_sfixed(0.7222,1,L_SIZE), to_sfixed(0.8119,1,L_SIZE), to_sfixed(0.6476,1,L_SIZE), to_sfixed(0.5152,1,L_SIZE), to_sfixed(0.6536,1,L_SIZE), to_sfixed(0.4715,1,L_SIZE), to_sfixed(0.5556,1,L_SIZE), to_sfixed(0.8450,1,L_SIZE), to_sfixed(0.4732,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9042,1,L_SIZE), to_sfixed(0.6621,1,L_SIZE), to_sfixed(0.6563,1,L_SIZE), to_sfixed(0.6267,1,L_SIZE), to_sfixed(0.5556,1,L_SIZE), to_sfixed(0.6314,1,L_SIZE), to_sfixed(0.5276,1,L_SIZE), to_sfixed(0.4091,1,L_SIZE), to_sfixed(0.4134,1,L_SIZE), to_sfixed(0.3292,1,L_SIZE), to_sfixed(0.5322,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.6161,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9359,1,L_SIZE), to_sfixed(0.3259,1,L_SIZE), to_sfixed(0.8019,1,L_SIZE), to_sfixed(0.5000,1,L_SIZE), to_sfixed(0.6235,1,L_SIZE), to_sfixed(0.8376,1,L_SIZE), to_sfixed(0.7008,1,L_SIZE), to_sfixed(0.2576,1,L_SIZE), to_sfixed(0.4749,1,L_SIZE), to_sfixed(0.4177,1,L_SIZE), to_sfixed(0.5146,1,L_SIZE), to_sfixed(0.8900,1,L_SIZE), to_sfixed(0.6518,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8928,1,L_SIZE), to_sfixed(0.6862,1,L_SIZE), to_sfixed(0.7090,1,L_SIZE), to_sfixed(0.5833,1,L_SIZE), to_sfixed(0.6358,1,L_SIZE), to_sfixed(0.6804,1,L_SIZE), to_sfixed(0.5177,1,L_SIZE), to_sfixed(0.4848,1,L_SIZE), to_sfixed(0.4637,1,L_SIZE), to_sfixed(0.3354,1,L_SIZE), to_sfixed(0.4795,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.4048,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8800,1,L_SIZE), to_sfixed(0.3052,1,L_SIZE), to_sfixed(0.6502,1,L_SIZE), to_sfixed(0.5667,1,L_SIZE), to_sfixed(0.6605,1,L_SIZE), to_sfixed(0.7732,1,L_SIZE), to_sfixed(0.5906,1,L_SIZE), to_sfixed(0.4242,1,L_SIZE), to_sfixed(0.5670,1,L_SIZE), to_sfixed(0.3877,1,L_SIZE), to_sfixed(0.5146,1,L_SIZE), to_sfixed(0.8375,1,L_SIZE), to_sfixed(0.5268,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9582,1,L_SIZE), to_sfixed(0.6966,1,L_SIZE), to_sfixed(0.7554,1,L_SIZE), to_sfixed(0.6300,1,L_SIZE), to_sfixed(0.6852,1,L_SIZE), to_sfixed(0.7345,1,L_SIZE), to_sfixed(0.5217,1,L_SIZE), to_sfixed(0.4545,1,L_SIZE), to_sfixed(0.3492,1,L_SIZE), to_sfixed(0.4031,1,L_SIZE), to_sfixed(0.5088,1,L_SIZE), to_sfixed(0.8325,1,L_SIZE), to_sfixed(0.6429,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9697,1,L_SIZE), to_sfixed(0.6190,1,L_SIZE), to_sfixed(0.7059,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.6296,1,L_SIZE), to_sfixed(0.8376,1,L_SIZE), to_sfixed(0.6240,1,L_SIZE), to_sfixed(0.4091,1,L_SIZE), to_sfixed(0.6117,1,L_SIZE), to_sfixed(0.3769,1,L_SIZE), to_sfixed(0.6082,1,L_SIZE), to_sfixed(0.8600,1,L_SIZE), to_sfixed(0.6339,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9373,1,L_SIZE), to_sfixed(0.2897,1,L_SIZE), to_sfixed(0.6563,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.6235,1,L_SIZE), to_sfixed(0.7990,1,L_SIZE), to_sfixed(0.6673,1,L_SIZE), to_sfixed(0.3182,1,L_SIZE), to_sfixed(0.5978,1,L_SIZE), to_sfixed(0.4692,1,L_SIZE), to_sfixed(0.5322,1,L_SIZE), to_sfixed(0.8325,1,L_SIZE), to_sfixed(0.5863,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9508,1,L_SIZE), to_sfixed(0.3483,1,L_SIZE), to_sfixed(0.7430,1,L_SIZE), to_sfixed(0.6267,1,L_SIZE), to_sfixed(0.6358,1,L_SIZE), to_sfixed(0.7088,1,L_SIZE), to_sfixed(0.5748,1,L_SIZE), to_sfixed(0.4848,1,L_SIZE), to_sfixed(0.6648,1,L_SIZE), to_sfixed(0.4769,1,L_SIZE), to_sfixed(0.6257,1,L_SIZE), to_sfixed(0.6875,1,L_SIZE), to_sfixed(0.6310,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9400,1,L_SIZE), to_sfixed(0.2983,1,L_SIZE), to_sfixed(0.7028,1,L_SIZE), to_sfixed(0.5800,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.7423,1,L_SIZE), to_sfixed(0.6969,1,L_SIZE), to_sfixed(0.4848,1,L_SIZE), to_sfixed(0.5810,1,L_SIZE), to_sfixed(0.6846,1,L_SIZE), to_sfixed(0.6550,1,L_SIZE), to_sfixed(0.7750,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8800,1,L_SIZE), to_sfixed(0.2983,1,L_SIZE), to_sfixed(0.6316,1,L_SIZE), to_sfixed(0.4133,1,L_SIZE), to_sfixed(0.5679,1,L_SIZE), to_sfixed(0.7010,1,L_SIZE), to_sfixed(0.6437,1,L_SIZE), to_sfixed(0.2576,1,L_SIZE), to_sfixed(0.8128,1,L_SIZE), to_sfixed(0.5538,1,L_SIZE), to_sfixed(0.6550,1,L_SIZE), to_sfixed(0.7275,1,L_SIZE), to_sfixed(0.6845,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9326,1,L_SIZE), to_sfixed(0.2845,1,L_SIZE), to_sfixed(0.8050,1,L_SIZE), to_sfixed(0.5733,1,L_SIZE), to_sfixed(0.5802,1,L_SIZE), to_sfixed(0.6314,1,L_SIZE), to_sfixed(0.5886,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.6397,1,L_SIZE), to_sfixed(0.4308,1,L_SIZE), to_sfixed(0.7251,1,L_SIZE), to_sfixed(0.8425,1,L_SIZE), to_sfixed(0.7530,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9319,1,L_SIZE), to_sfixed(0.3017,1,L_SIZE), to_sfixed(0.7492,1,L_SIZE), to_sfixed(0.4667,1,L_SIZE), to_sfixed(0.6852,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.7362,1,L_SIZE), to_sfixed(0.4848,1,L_SIZE), to_sfixed(0.5223,1,L_SIZE), to_sfixed(0.5423,1,L_SIZE), to_sfixed(0.5906,1,L_SIZE), to_sfixed(0.8150,1,L_SIZE), to_sfixed(0.7083,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9285,1,L_SIZE), to_sfixed(0.3276,1,L_SIZE), to_sfixed(0.8297,1,L_SIZE), to_sfixed(0.5700,1,L_SIZE), to_sfixed(0.7099,1,L_SIZE), to_sfixed(0.7732,1,L_SIZE), to_sfixed(0.5492,1,L_SIZE), to_sfixed(0.5909,1,L_SIZE), to_sfixed(0.4693,1,L_SIZE), to_sfixed(0.4846,1,L_SIZE), to_sfixed(0.6608,1,L_SIZE), to_sfixed(0.7325,1,L_SIZE), to_sfixed(0.8185,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9265,1,L_SIZE), to_sfixed(0.2879,1,L_SIZE), to_sfixed(0.6966,1,L_SIZE), to_sfixed(0.5467,1,L_SIZE), to_sfixed(0.7284,1,L_SIZE), to_sfixed(0.6701,1,L_SIZE), to_sfixed(0.5709,1,L_SIZE), to_sfixed(0.3182,1,L_SIZE), to_sfixed(0.4525,1,L_SIZE), to_sfixed(0.4500,1,L_SIZE), to_sfixed(0.5380,1,L_SIZE), to_sfixed(0.8000,1,L_SIZE), to_sfixed(0.6310,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9144,1,L_SIZE), to_sfixed(0.2983,1,L_SIZE), to_sfixed(0.7616,1,L_SIZE), to_sfixed(0.6833,1,L_SIZE), to_sfixed(0.7160,1,L_SIZE), to_sfixed(0.7629,1,L_SIZE), to_sfixed(0.5472,1,L_SIZE), to_sfixed(0.3030,1,L_SIZE), to_sfixed(0.6844,1,L_SIZE), to_sfixed(0.4808,1,L_SIZE), to_sfixed(0.5731,1,L_SIZE), to_sfixed(0.7575,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9589,1,L_SIZE), to_sfixed(0.2931,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.5433,1,L_SIZE), to_sfixed(0.7284,1,L_SIZE), to_sfixed(0.8247,1,L_SIZE), to_sfixed(0.5906,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.5670,1,L_SIZE), to_sfixed(0.4908,1,L_SIZE), to_sfixed(0.5497,1,L_SIZE), to_sfixed(0.8275,1,L_SIZE), to_sfixed(0.5774,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8962,1,L_SIZE), to_sfixed(0.3397,1,L_SIZE), to_sfixed(0.8297,1,L_SIZE), to_sfixed(0.5600,1,L_SIZE), to_sfixed(0.6296,1,L_SIZE), to_sfixed(0.7732,1,L_SIZE), to_sfixed(0.6358,1,L_SIZE), to_sfixed(0.4697,1,L_SIZE), to_sfixed(0.4637,1,L_SIZE), to_sfixed(0.4615,1,L_SIZE), to_sfixed(0.6257,1,L_SIZE), to_sfixed(0.7100,1,L_SIZE), to_sfixed(0.7560,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9252,1,L_SIZE), to_sfixed(0.2466,1,L_SIZE), to_sfixed(0.7740,1,L_SIZE), to_sfixed(0.5567,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.8763,1,L_SIZE), to_sfixed(0.7224,1,L_SIZE), to_sfixed(0.2879,1,L_SIZE), to_sfixed(0.5698,1,L_SIZE), to_sfixed(0.5231,1,L_SIZE), to_sfixed(0.5205,1,L_SIZE), to_sfixed(0.7175,1,L_SIZE), to_sfixed(0.7649,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8341,1,L_SIZE), to_sfixed(0.1621,1,L_SIZE), to_sfixed(0.4211,1,L_SIZE), to_sfixed(0.3533,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.5103,1,L_SIZE), to_sfixed(0.1122,1,L_SIZE), to_sfixed(0.4242,1,L_SIZE), to_sfixed(0.1173,1,L_SIZE), to_sfixed(0.1500,1,L_SIZE), to_sfixed(0.6140,1,L_SIZE), to_sfixed(0.4550,1,L_SIZE), to_sfixed(0.3095,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8314,1,L_SIZE), to_sfixed(0.1897,1,L_SIZE), to_sfixed(0.7059,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.6235,1,L_SIZE), to_sfixed(0.5284,1,L_SIZE), to_sfixed(0.2146,1,L_SIZE), to_sfixed(0.9545,1,L_SIZE), to_sfixed(0.1145,1,L_SIZE), to_sfixed(0.2515,1,L_SIZE), to_sfixed(0.7310,1,L_SIZE), to_sfixed(0.4175,1,L_SIZE), to_sfixed(0.4048,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8523,1,L_SIZE), to_sfixed(0.2345,1,L_SIZE), to_sfixed(0.6254,1,L_SIZE), to_sfixed(0.5600,1,L_SIZE), to_sfixed(0.6173,1,L_SIZE), to_sfixed(0.5206,1,L_SIZE), to_sfixed(0.2776,1,L_SIZE), to_sfixed(0.8030,1,L_SIZE), to_sfixed(0.1732,1,L_SIZE), to_sfixed(0.4423,1,L_SIZE), to_sfixed(0.5731,1,L_SIZE), to_sfixed(0.3975,1,L_SIZE), to_sfixed(0.2679,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9218,1,L_SIZE), to_sfixed(0.2155,1,L_SIZE), to_sfixed(0.5944,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.5802,1,L_SIZE), to_sfixed(0.5412,1,L_SIZE), to_sfixed(0.3524,1,L_SIZE), to_sfixed(0.4848,1,L_SIZE), to_sfixed(0.2039,1,L_SIZE), to_sfixed(0.2923,1,L_SIZE), to_sfixed(0.7193,1,L_SIZE), to_sfixed(0.6150,1,L_SIZE), to_sfixed(0.3750,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8341,1,L_SIZE), to_sfixed(0.1948,1,L_SIZE), to_sfixed(0.6687,1,L_SIZE), to_sfixed(0.6333,1,L_SIZE), to_sfixed(0.5370,1,L_SIZE), to_sfixed(0.9021,1,L_SIZE), to_sfixed(0.6102,1,L_SIZE), to_sfixed(0.2879,1,L_SIZE), to_sfixed(0.5223,1,L_SIZE), to_sfixed(0.3423,1,L_SIZE), to_sfixed(0.7135,1,L_SIZE), to_sfixed(0.7175,1,L_SIZE), to_sfixed(0.2500,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8206,1,L_SIZE), to_sfixed(0.2500,1,L_SIZE), to_sfixed(0.7833,1,L_SIZE), to_sfixed(0.6333,1,L_SIZE), to_sfixed(0.6420,1,L_SIZE), to_sfixed(0.4871,1,L_SIZE), to_sfixed(0.3445,1,L_SIZE), to_sfixed(0.6818,1,L_SIZE), to_sfixed(0.2877,1,L_SIZE), to_sfixed(0.2269,1,L_SIZE), to_sfixed(0.8480,1,L_SIZE), to_sfixed(0.5575,1,L_SIZE), to_sfixed(0.2113,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8341,1,L_SIZE), to_sfixed(0.2086,1,L_SIZE), to_sfixed(0.7926,1,L_SIZE), to_sfixed(0.6033,1,L_SIZE), to_sfixed(0.6049,1,L_SIZE), to_sfixed(0.6237,1,L_SIZE), to_sfixed(0.5217,1,L_SIZE), to_sfixed(0.5606,1,L_SIZE), to_sfixed(0.5810,1,L_SIZE), to_sfixed(0.3538,1,L_SIZE), to_sfixed(0.6959,1,L_SIZE), to_sfixed(0.5750,1,L_SIZE), to_sfixed(0.4036,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8840,1,L_SIZE), to_sfixed(0.1741,1,L_SIZE), to_sfixed(0.5263,1,L_SIZE), to_sfixed(0.5000,1,L_SIZE), to_sfixed(0.4815,1,L_SIZE), to_sfixed(0.7680,1,L_SIZE), to_sfixed(0.6260,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.6369,1,L_SIZE), to_sfixed(0.4077,1,L_SIZE), to_sfixed(0.6550,1,L_SIZE), to_sfixed(0.7950,1,L_SIZE), to_sfixed(0.2988,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8341,1,L_SIZE), to_sfixed(0.2017,1,L_SIZE), to_sfixed(0.5944,1,L_SIZE), to_sfixed(0.6533,1,L_SIZE), to_sfixed(0.4815,1,L_SIZE), to_sfixed(0.5438,1,L_SIZE), to_sfixed(0.3937,1,L_SIZE), to_sfixed(0.4091,1,L_SIZE), to_sfixed(0.2905,1,L_SIZE), to_sfixed(0.3600,1,L_SIZE), to_sfixed(0.6550,1,L_SIZE), to_sfixed(0.8700,1,L_SIZE), to_sfixed(0.3036,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8995,1,L_SIZE), to_sfixed(0.1621,1,L_SIZE), to_sfixed(0.7307,1,L_SIZE), to_sfixed(0.5667,1,L_SIZE), to_sfixed(0.6790,1,L_SIZE), to_sfixed(0.6521,1,L_SIZE), to_sfixed(0.2559,1,L_SIZE), to_sfixed(0.8333,1,L_SIZE), to_sfixed(0.1173,1,L_SIZE), to_sfixed(0.2438,1,L_SIZE), to_sfixed(0.5965,1,L_SIZE), to_sfixed(0.4825,1,L_SIZE), to_sfixed(0.4464,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8233,1,L_SIZE), to_sfixed(0.2052,1,L_SIZE), to_sfixed(0.5418,1,L_SIZE), to_sfixed(0.5600,1,L_SIZE), to_sfixed(0.9321,1,L_SIZE), to_sfixed(0.4768,1,L_SIZE), to_sfixed(0.2520,1,L_SIZE), to_sfixed(0.2121,1,L_SIZE), to_sfixed(0.6983,1,L_SIZE), to_sfixed(0.2192,1,L_SIZE), to_sfixed(0.7485,1,L_SIZE), to_sfixed(0.7675,1,L_SIZE), to_sfixed(0.4274,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8287,1,L_SIZE), to_sfixed(0.2776,1,L_SIZE), to_sfixed(0.6842,1,L_SIZE), to_sfixed(0.6800,1,L_SIZE), to_sfixed(0.6358,1,L_SIZE), to_sfixed(0.2835,1,L_SIZE), to_sfixed(0.2008,1,L_SIZE), to_sfixed(0.5606,1,L_SIZE), to_sfixed(0.4078,1,L_SIZE), to_sfixed(0.2346,1,L_SIZE), to_sfixed(0.5298,1,L_SIZE), to_sfixed(0.4550,1,L_SIZE), to_sfixed(0.5179,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9346,1,L_SIZE), to_sfixed(0.2603,1,L_SIZE), to_sfixed(0.8266,1,L_SIZE), to_sfixed(0.8333,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.7603,1,L_SIZE), to_sfixed(0.5630,1,L_SIZE), to_sfixed(0.3182,1,L_SIZE), to_sfixed(0.5223,1,L_SIZE), to_sfixed(0.2600,1,L_SIZE), to_sfixed(0.7953,1,L_SIZE), to_sfixed(0.7900,1,L_SIZE), to_sfixed(0.2440,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.9096,1,L_SIZE), to_sfixed(0.2862,1,L_SIZE), to_sfixed(0.6935,1,L_SIZE), to_sfixed(0.8000,1,L_SIZE), to_sfixed(0.5370,1,L_SIZE), to_sfixed(0.4845,1,L_SIZE), to_sfixed(0.3622,1,L_SIZE), to_sfixed(0.4091,1,L_SIZE), to_sfixed(0.2877,1,L_SIZE), to_sfixed(0.2877,1,L_SIZE), to_sfixed(0.5731,1,L_SIZE), to_sfixed(0.6950,1,L_SIZE), to_sfixed(0.2810,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8759,1,L_SIZE), to_sfixed(0.2879,1,L_SIZE), to_sfixed(0.8050,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.8580,1,L_SIZE), to_sfixed(0.8505,1,L_SIZE), to_sfixed(0.5689,1,L_SIZE), to_sfixed(0.3182,1,L_SIZE), to_sfixed(0.5475,1,L_SIZE), to_sfixed(0.2577,1,L_SIZE), to_sfixed(0.7661,1,L_SIZE), to_sfixed(0.8750,1,L_SIZE), to_sfixed(0.5863,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8065,1,L_SIZE), to_sfixed(0.1879,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.6235,1,L_SIZE), to_sfixed(0.8711,1,L_SIZE), to_sfixed(0.4213,1,L_SIZE), to_sfixed(0.1970,1,L_SIZE), to_sfixed(0.4609,1,L_SIZE), to_sfixed(0.2469,1,L_SIZE), to_sfixed(0.5789,1,L_SIZE), to_sfixed(0.7825,1,L_SIZE), to_sfixed(0.5274,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7862,1,L_SIZE), to_sfixed(0.3241,1,L_SIZE), to_sfixed(0.5944,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.5988,1,L_SIZE), to_sfixed(0.4149,1,L_SIZE), to_sfixed(0.3091,1,L_SIZE), to_sfixed(0.5152,1,L_SIZE), to_sfixed(0.3212,1,L_SIZE), to_sfixed(0.2923,1,L_SIZE), to_sfixed(0.7193,1,L_SIZE), to_sfixed(0.5350,1,L_SIZE), to_sfixed(0.2548,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8786,1,L_SIZE), to_sfixed(0.1552,1,L_SIZE), to_sfixed(0.5294,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.5026,1,L_SIZE), to_sfixed(0.3996,1,L_SIZE), to_sfixed(0.3636,1,L_SIZE), to_sfixed(0.4078,1,L_SIZE), to_sfixed(0.3538,1,L_SIZE), to_sfixed(0.6959,1,L_SIZE), to_sfixed(0.6200,1,L_SIZE), to_sfixed(0.2333,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7984,1,L_SIZE), to_sfixed(0.4983,1,L_SIZE), to_sfixed(0.6904,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.6914,1,L_SIZE), to_sfixed(0.4433,1,L_SIZE), to_sfixed(0.2598,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.2654,1,L_SIZE), to_sfixed(0.2038,1,L_SIZE), to_sfixed(0.5614,1,L_SIZE), to_sfixed(0.6300,1,L_SIZE), to_sfixed(0.2976,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8314,1,L_SIZE), to_sfixed(0.1707,1,L_SIZE), to_sfixed(0.6037,1,L_SIZE), to_sfixed(0.4933,1,L_SIZE), to_sfixed(0.8395,1,L_SIZE), to_sfixed(0.4897,1,L_SIZE), to_sfixed(0.3642,1,L_SIZE), to_sfixed(0.5303,1,L_SIZE), to_sfixed(0.7709,1,L_SIZE), to_sfixed(0.2615,1,L_SIZE), to_sfixed(0.6199,1,L_SIZE), to_sfixed(0.5775,1,L_SIZE), to_sfixed(0.4464,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8564,1,L_SIZE), to_sfixed(0.6672,1,L_SIZE), to_sfixed(0.7430,1,L_SIZE), to_sfixed(0.7667,1,L_SIZE), to_sfixed(0.6235,1,L_SIZE), to_sfixed(0.7294,1,L_SIZE), to_sfixed(0.5020,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.5447,1,L_SIZE), to_sfixed(0.1977,1,L_SIZE), to_sfixed(0.6959,1,L_SIZE), to_sfixed(0.7825,1,L_SIZE), to_sfixed(0.2756,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8092,1,L_SIZE), to_sfixed(0.1586,1,L_SIZE), to_sfixed(0.6192,1,L_SIZE), to_sfixed(0.6333,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.6237,1,L_SIZE), to_sfixed(0.4449,1,L_SIZE), to_sfixed(0.4545,1,L_SIZE), to_sfixed(0.3994,1,L_SIZE), to_sfixed(0.1923,1,L_SIZE), to_sfixed(0.8070,1,L_SIZE), to_sfixed(0.7800,1,L_SIZE), to_sfixed(0.1655,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8577,1,L_SIZE), to_sfixed(0.3121,1,L_SIZE), to_sfixed(0.6811,1,L_SIZE), to_sfixed(0.6267,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.5670,1,L_SIZE), to_sfixed(0.4980,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.4944,1,L_SIZE), to_sfixed(0.3000,1,L_SIZE), to_sfixed(0.6784,1,L_SIZE), to_sfixed(0.7850,1,L_SIZE), to_sfixed(0.4250,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8146,1,L_SIZE), to_sfixed(0.1948,1,L_SIZE), to_sfixed(0.7771,1,L_SIZE), to_sfixed(0.8000,1,L_SIZE), to_sfixed(0.4815,1,L_SIZE), to_sfixed(0.5155,1,L_SIZE), to_sfixed(0.3110,1,L_SIZE), to_sfixed(0.6061,1,L_SIZE), to_sfixed(0.3911,1,L_SIZE), to_sfixed(0.1692,1,L_SIZE), to_sfixed(0.7661,1,L_SIZE), to_sfixed(0.6800,1,L_SIZE), to_sfixed(0.3750,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8800,1,L_SIZE), to_sfixed(0.6655,1,L_SIZE), to_sfixed(0.7183,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.5247,1,L_SIZE), to_sfixed(0.4253,1,L_SIZE), to_sfixed(0.3130,1,L_SIZE), to_sfixed(0.9242,1,L_SIZE), to_sfixed(0.4525,1,L_SIZE), to_sfixed(0.3692,1,L_SIZE), to_sfixed(0.4912,1,L_SIZE), to_sfixed(0.5025,1,L_SIZE), to_sfixed(0.3065,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7984,1,L_SIZE), to_sfixed(0.1534,1,L_SIZE), to_sfixed(0.7988,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.5802,1,L_SIZE), to_sfixed(0.5670,1,L_SIZE), to_sfixed(0.4350,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.6564,1,L_SIZE), to_sfixed(0.2346,1,L_SIZE), to_sfixed(0.4620,1,L_SIZE), to_sfixed(0.7700,1,L_SIZE), to_sfixed(0.3095,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8543,1,L_SIZE), to_sfixed(0.1690,1,L_SIZE), to_sfixed(0.6935,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.6111,1,L_SIZE), to_sfixed(0.5670,1,L_SIZE), to_sfixed(0.3819,1,L_SIZE), to_sfixed(0.4545,1,L_SIZE), to_sfixed(0.4078,1,L_SIZE), to_sfixed(0.2015,1,L_SIZE), to_sfixed(0.7193,1,L_SIZE), to_sfixed(0.7900,1,L_SIZE), to_sfixed(0.2679,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8200,1,L_SIZE), to_sfixed(0.2776,1,L_SIZE), to_sfixed(0.7152,1,L_SIZE), to_sfixed(0.7600,1,L_SIZE), to_sfixed(0.5556,1,L_SIZE), to_sfixed(0.4588,1,L_SIZE), to_sfixed(0.3327,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.4358,1,L_SIZE), to_sfixed(0.1885,1,L_SIZE), to_sfixed(0.7778,1,L_SIZE), to_sfixed(0.5650,1,L_SIZE), to_sfixed(0.2946,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7856,1,L_SIZE), to_sfixed(0.2879,1,L_SIZE), to_sfixed(0.8111,1,L_SIZE), to_sfixed(0.8667,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.4948,1,L_SIZE), to_sfixed(0.3169,1,L_SIZE), to_sfixed(0.6061,1,L_SIZE), to_sfixed(0.3743,1,L_SIZE), to_sfixed(0.2000,1,L_SIZE), to_sfixed(0.7953,1,L_SIZE), to_sfixed(0.8025,1,L_SIZE), to_sfixed(0.3345,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7849,1,L_SIZE), to_sfixed(0.3552,1,L_SIZE), to_sfixed(0.7616,1,L_SIZE), to_sfixed(0.7200,1,L_SIZE), to_sfixed(0.5185,1,L_SIZE), to_sfixed(0.5026,1,L_SIZE), to_sfixed(0.3327,1,L_SIZE), to_sfixed(0.7273,1,L_SIZE), to_sfixed(0.3771,1,L_SIZE), to_sfixed(0.2154,1,L_SIZE), to_sfixed(0.5848,1,L_SIZE), to_sfixed(0.6875,1,L_SIZE), to_sfixed(0.4048,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8146,1,L_SIZE), to_sfixed(0.2293,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.7867,1,L_SIZE), to_sfixed(0.4321,1,L_SIZE), to_sfixed(0.5670,1,L_SIZE), to_sfixed(0.3130,1,L_SIZE), to_sfixed(0.6364,1,L_SIZE), to_sfixed(0.3855,1,L_SIZE), to_sfixed(0.1338,1,L_SIZE), to_sfixed(0.6257,1,L_SIZE), to_sfixed(0.8025,1,L_SIZE), to_sfixed(0.3720,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8146,1,L_SIZE), to_sfixed(0.3155,1,L_SIZE), to_sfixed(0.7183,1,L_SIZE), to_sfixed(0.6167,1,L_SIZE), to_sfixed(0.5000,1,L_SIZE), to_sfixed(0.4124,1,L_SIZE), to_sfixed(0.2953,1,L_SIZE), to_sfixed(0.7879,1,L_SIZE), to_sfixed(0.4581,1,L_SIZE), to_sfixed(0.1846,1,L_SIZE), to_sfixed(0.6316,1,L_SIZE), to_sfixed(0.5675,1,L_SIZE), to_sfixed(0.2857,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8092,1,L_SIZE), to_sfixed(0.2603,1,L_SIZE), to_sfixed(0.7492,1,L_SIZE), to_sfixed(0.7333,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.3737,1,L_SIZE), to_sfixed(0.2461,1,L_SIZE), to_sfixed(0.7576,1,L_SIZE), to_sfixed(0.4553,1,L_SIZE), to_sfixed(0.2769,1,L_SIZE), to_sfixed(0.6140,1,L_SIZE), to_sfixed(0.6625,1,L_SIZE), to_sfixed(0.2679,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8557,1,L_SIZE), to_sfixed(0.2638,1,L_SIZE), to_sfixed(0.6997,1,L_SIZE), to_sfixed(0.6900,1,L_SIZE), to_sfixed(0.4938,1,L_SIZE), to_sfixed(0.3557,1,L_SIZE), to_sfixed(0.2874,1,L_SIZE), to_sfixed(0.8788,1,L_SIZE), to_sfixed(0.4525,1,L_SIZE), to_sfixed(0.2346,1,L_SIZE), to_sfixed(0.5614,1,L_SIZE), to_sfixed(0.5150,1,L_SIZE), to_sfixed(0.2946,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8287,1,L_SIZE), to_sfixed(0.4879,1,L_SIZE), to_sfixed(0.6873,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.6314,1,L_SIZE), to_sfixed(0.4429,1,L_SIZE), to_sfixed(0.3788,1,L_SIZE), to_sfixed(0.5559,1,L_SIZE), to_sfixed(0.1654,1,L_SIZE), to_sfixed(0.6725,1,L_SIZE), to_sfixed(0.8250,1,L_SIZE), to_sfixed(0.1726,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7835,1,L_SIZE), to_sfixed(0.3431,1,L_SIZE), to_sfixed(0.7059,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.6049,1,L_SIZE), to_sfixed(0.7784,1,L_SIZE), to_sfixed(0.4449,1,L_SIZE), to_sfixed(0.2576,1,L_SIZE), to_sfixed(0.3771,1,L_SIZE), to_sfixed(0.2500,1,L_SIZE), to_sfixed(0.6784,1,L_SIZE), to_sfixed(0.7400,1,L_SIZE), to_sfixed(0.2054,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8409,1,L_SIZE), to_sfixed(0.2621,1,L_SIZE), to_sfixed(0.6811,1,L_SIZE), to_sfixed(0.6333,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.6443,1,L_SIZE), to_sfixed(0.4469,1,L_SIZE), to_sfixed(0.4848,1,L_SIZE), to_sfixed(0.9162,1,L_SIZE), to_sfixed(0.2000,1,L_SIZE), to_sfixed(0.6784,1,L_SIZE), to_sfixed(0.6575,1,L_SIZE), to_sfixed(0.5577,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7964,1,L_SIZE), to_sfixed(0.3655,1,L_SIZE), to_sfixed(0.8483,1,L_SIZE), to_sfixed(0.7167,1,L_SIZE), to_sfixed(0.8272,1,L_SIZE), to_sfixed(0.4124,1,L_SIZE), to_sfixed(0.1949,1,L_SIZE), to_sfixed(0.2121,1,L_SIZE), to_sfixed(0.4358,1,L_SIZE), to_sfixed(0.1923,1,L_SIZE), to_sfixed(0.5556,1,L_SIZE), to_sfixed(0.5650,1,L_SIZE), to_sfixed(0.3720,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8287,1,L_SIZE), to_sfixed(0.2431,1,L_SIZE), to_sfixed(0.6130,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.5247,1,L_SIZE), to_sfixed(0.6572,1,L_SIZE), to_sfixed(0.4921,1,L_SIZE), to_sfixed(0.4394,1,L_SIZE), to_sfixed(0.4944,1,L_SIZE), to_sfixed(0.2231,1,L_SIZE), to_sfixed(0.7193,1,L_SIZE), to_sfixed(0.6850,1,L_SIZE), to_sfixed(0.2548,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8341,1,L_SIZE), to_sfixed(0.1845,1,L_SIZE), to_sfixed(0.6502,1,L_SIZE), to_sfixed(0.6167,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.9072,1,L_SIZE), to_sfixed(0.7382,1,L_SIZE), to_sfixed(0.3636,1,L_SIZE), to_sfixed(0.5447,1,L_SIZE), to_sfixed(0.3462,1,L_SIZE), to_sfixed(0.6082,1,L_SIZE), to_sfixed(0.6925,1,L_SIZE), to_sfixed(0.3929,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8287,1,L_SIZE), to_sfixed(0.5466,1,L_SIZE), to_sfixed(0.6842,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.7345,1,L_SIZE), to_sfixed(0.5886,1,L_SIZE), to_sfixed(0.6818,1,L_SIZE), to_sfixed(0.7849,1,L_SIZE), to_sfixed(0.1769,1,L_SIZE), to_sfixed(0.8304,1,L_SIZE), to_sfixed(0.7075,1,L_SIZE), to_sfixed(0.2417,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8146,1,L_SIZE), to_sfixed(0.3586,1,L_SIZE), to_sfixed(0.5263,1,L_SIZE), to_sfixed(0.5833,1,L_SIZE), to_sfixed(0.5988,1,L_SIZE), to_sfixed(0.5747,1,L_SIZE), to_sfixed(0.4272,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.3911,1,L_SIZE), to_sfixed(0.2538,1,L_SIZE), to_sfixed(0.7427,1,L_SIZE), to_sfixed(0.7400,1,L_SIZE), to_sfixed(0.4226,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8496,1,L_SIZE), to_sfixed(0.2310,1,L_SIZE), to_sfixed(0.5882,1,L_SIZE), to_sfixed(0.6167,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.3737,1,L_SIZE), to_sfixed(0.2677,1,L_SIZE), to_sfixed(0.4394,1,L_SIZE), to_sfixed(0.3771,1,L_SIZE), to_sfixed(0.1885,1,L_SIZE), to_sfixed(0.6082,1,L_SIZE), to_sfixed(0.6925,1,L_SIZE), to_sfixed(0.3345,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8321,1,L_SIZE), to_sfixed(0.4224,1,L_SIZE), to_sfixed(0.7616,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.6049,1,L_SIZE), to_sfixed(0.6598,1,L_SIZE), to_sfixed(0.4154,1,L_SIZE), to_sfixed(0.5152,1,L_SIZE), to_sfixed(0.3659,1,L_SIZE), to_sfixed(0.2154,1,L_SIZE), to_sfixed(0.4678,1,L_SIZE), to_sfixed(0.8450,1,L_SIZE), to_sfixed(0.2607,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7970,1,L_SIZE), to_sfixed(0.2966,1,L_SIZE), to_sfixed(0.5820,1,L_SIZE), to_sfixed(0.6500,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.6443,1,L_SIZE), to_sfixed(0.3228,1,L_SIZE), to_sfixed(0.5606,1,L_SIZE), to_sfixed(0.3966,1,L_SIZE), to_sfixed(0.1585,1,L_SIZE), to_sfixed(0.5497,1,L_SIZE), to_sfixed(0.6100,1,L_SIZE), to_sfixed(0.2470,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8436,1,L_SIZE), to_sfixed(0.2983,1,L_SIZE), to_sfixed(0.6130,1,L_SIZE), to_sfixed(0.6833,1,L_SIZE), to_sfixed(0.5247,1,L_SIZE), to_sfixed(0.5670,1,L_SIZE), to_sfixed(0.3780,1,L_SIZE), to_sfixed(0.4848,1,L_SIZE), to_sfixed(0.4134,1,L_SIZE), to_sfixed(0.2262,1,L_SIZE), to_sfixed(0.6082,1,L_SIZE), to_sfixed(0.8925,1,L_SIZE), to_sfixed(0.4000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8375,1,L_SIZE), to_sfixed(0.4397,1,L_SIZE), to_sfixed(0.7028,1,L_SIZE), to_sfixed(0.7333,1,L_SIZE), to_sfixed(0.5556,1,L_SIZE), to_sfixed(0.4330,1,L_SIZE), to_sfixed(0.3622,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.3966,1,L_SIZE), to_sfixed(0.2077,1,L_SIZE), to_sfixed(0.5029,1,L_SIZE), to_sfixed(0.8250,1,L_SIZE), to_sfixed(0.1875,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8260,1,L_SIZE), to_sfixed(0.2983,1,L_SIZE), to_sfixed(0.6563,1,L_SIZE), to_sfixed(0.6333,1,L_SIZE), to_sfixed(0.4938,1,L_SIZE), to_sfixed(0.4253,1,L_SIZE), to_sfixed(0.3996,1,L_SIZE), to_sfixed(0.5606,1,L_SIZE), to_sfixed(0.4553,1,L_SIZE), to_sfixed(0.2615,1,L_SIZE), to_sfixed(0.5848,1,L_SIZE), to_sfixed(0.7925,1,L_SIZE), to_sfixed(0.3036,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8577,1,L_SIZE), to_sfixed(0.3017,1,L_SIZE), to_sfixed(0.7059,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.5185,1,L_SIZE), to_sfixed(0.3557,1,L_SIZE), to_sfixed(0.3465,1,L_SIZE), to_sfixed(0.7273,1,L_SIZE), to_sfixed(0.4553,1,L_SIZE), to_sfixed(0.2538,1,L_SIZE), to_sfixed(0.5146,1,L_SIZE), to_sfixed(0.6050,1,L_SIZE), to_sfixed(0.2905,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8240,1,L_SIZE), to_sfixed(0.2224,1,L_SIZE), to_sfixed(0.6006,1,L_SIZE), to_sfixed(0.6333,1,L_SIZE), to_sfixed(0.5679,1,L_SIZE), to_sfixed(0.6082,1,L_SIZE), to_sfixed(0.4016,1,L_SIZE), to_sfixed(0.5909,1,L_SIZE), to_sfixed(0.5810,1,L_SIZE), to_sfixed(0.2077,1,L_SIZE), to_sfixed(0.5029,1,L_SIZE), to_sfixed(0.7550,1,L_SIZE), to_sfixed(0.1857,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7829,1,L_SIZE), to_sfixed(0.2328,1,L_SIZE), to_sfixed(0.8359,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.5802,1,L_SIZE), to_sfixed(0.7062,1,L_SIZE), to_sfixed(0.5748,1,L_SIZE), to_sfixed(0.4394,1,L_SIZE), to_sfixed(0.6955,1,L_SIZE), to_sfixed(0.2038,1,L_SIZE), to_sfixed(0.5614,1,L_SIZE), to_sfixed(0.8150,1,L_SIZE), to_sfixed(0.4048,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7728,1,L_SIZE), to_sfixed(0.6448,1,L_SIZE), to_sfixed(0.5635,1,L_SIZE), to_sfixed(0.6500,1,L_SIZE), to_sfixed(0.6605,1,L_SIZE), to_sfixed(0.8196,1,L_SIZE), to_sfixed(0.5079,1,L_SIZE), to_sfixed(0.3636,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.2231,1,L_SIZE), to_sfixed(0.4386,1,L_SIZE), to_sfixed(0.7025,1,L_SIZE), to_sfixed(0.3345,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8442,1,L_SIZE), to_sfixed(0.4190,1,L_SIZE), to_sfixed(0.6718,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.6572,1,L_SIZE), to_sfixed(0.4469,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.3408,1,L_SIZE), to_sfixed(0.1538,1,L_SIZE), to_sfixed(0.5263,1,L_SIZE), to_sfixed(0.6950,1,L_SIZE), to_sfixed(0.1935,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7930,1,L_SIZE), to_sfixed(0.4621,1,L_SIZE), to_sfixed(0.9040,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.6358,1,L_SIZE), to_sfixed(0.4510,1,L_SIZE), to_sfixed(0.3996,1,L_SIZE), to_sfixed(0.9091,1,L_SIZE), to_sfixed(0.2933,1,L_SIZE), to_sfixed(0.2923,1,L_SIZE), to_sfixed(0.7193,1,L_SIZE), to_sfixed(0.6250,1,L_SIZE), to_sfixed(0.3613,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7694,1,L_SIZE), to_sfixed(0.1276,1,L_SIZE), to_sfixed(0.7740,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.6392,1,L_SIZE), to_sfixed(0.3957,1,L_SIZE), to_sfixed(0.6364,1,L_SIZE), to_sfixed(0.4022,1,L_SIZE), to_sfixed(0.2369,1,L_SIZE), to_sfixed(0.6433,1,L_SIZE), to_sfixed(0.5775,1,L_SIZE), to_sfixed(0.2583,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8146,1,L_SIZE), to_sfixed(0.2397,1,L_SIZE), to_sfixed(0.7740,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.5185,1,L_SIZE), to_sfixed(0.6598,1,L_SIZE), to_sfixed(0.4508,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.2905,1,L_SIZE), to_sfixed(0.2231,1,L_SIZE), to_sfixed(0.5439,1,L_SIZE), to_sfixed(0.7975,1,L_SIZE), to_sfixed(0.2292,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7438,1,L_SIZE), to_sfixed(0.2603,1,L_SIZE), to_sfixed(0.6811,1,L_SIZE), to_sfixed(0.7167,1,L_SIZE), to_sfixed(0.5247,1,L_SIZE), to_sfixed(0.6340,1,L_SIZE), to_sfixed(0.4272,1,L_SIZE), to_sfixed(0.7879,1,L_SIZE), to_sfixed(0.5615,1,L_SIZE), to_sfixed(0.1462,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.7175,1,L_SIZE), to_sfixed(0.2423,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7970,1,L_SIZE), to_sfixed(0.2534,1,L_SIZE), to_sfixed(0.6161,1,L_SIZE), to_sfixed(0.6933,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.5103,1,L_SIZE), to_sfixed(0.3150,1,L_SIZE), to_sfixed(0.4545,1,L_SIZE), to_sfixed(0.4274,1,L_SIZE), to_sfixed(0.1500,1,L_SIZE), to_sfixed(0.5556,1,L_SIZE), to_sfixed(0.8325,1,L_SIZE), to_sfixed(0.2946,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8375,1,L_SIZE), to_sfixed(0.2776,1,L_SIZE), to_sfixed(0.6780,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.5155,1,L_SIZE), to_sfixed(0.4114,1,L_SIZE), to_sfixed(0.5152,1,L_SIZE), to_sfixed(0.4497,1,L_SIZE), to_sfixed(0.1585,1,L_SIZE), to_sfixed(0.6199,1,L_SIZE), to_sfixed(0.7400,1,L_SIZE), to_sfixed(0.2054,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8611,1,L_SIZE), to_sfixed(0.5914,1,L_SIZE), to_sfixed(0.6130,1,L_SIZE), to_sfixed(0.5333,1,L_SIZE), to_sfixed(0.4938,1,L_SIZE), to_sfixed(0.4201,1,L_SIZE), to_sfixed(0.2461,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.2318,1,L_SIZE), to_sfixed(0.2615,1,L_SIZE), to_sfixed(0.4094,1,L_SIZE), to_sfixed(0.5300,1,L_SIZE), to_sfixed(0.2214,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8092,1,L_SIZE), to_sfixed(0.5914,1,L_SIZE), to_sfixed(0.6192,1,L_SIZE), to_sfixed(0.6333,1,L_SIZE), to_sfixed(0.5370,1,L_SIZE), to_sfixed(0.5155,1,L_SIZE), to_sfixed(0.3228,1,L_SIZE), to_sfixed(0.5606,1,L_SIZE), to_sfixed(0.5223,1,L_SIZE), to_sfixed(0.0985,1,L_SIZE), to_sfixed(0.5439,1,L_SIZE), to_sfixed(0.7625,1,L_SIZE), to_sfixed(0.3357,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7721,1,L_SIZE), to_sfixed(0.4138,1,L_SIZE), to_sfixed(0.7492,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.5926,1,L_SIZE), to_sfixed(0.7474,1,L_SIZE), to_sfixed(0.5492,1,L_SIZE), to_sfixed(0.4848,1,L_SIZE), to_sfixed(0.5112,1,L_SIZE), to_sfixed(0.2500,1,L_SIZE), to_sfixed(0.4678,1,L_SIZE), to_sfixed(0.8475,1,L_SIZE), to_sfixed(0.3720,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7795,1,L_SIZE), to_sfixed(0.3534,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.9500,1,L_SIZE), to_sfixed(0.7346,1,L_SIZE), to_sfixed(0.8196,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.5223,1,L_SIZE), to_sfixed(0.4615,1,L_SIZE), to_sfixed(0.5439,1,L_SIZE), to_sfixed(0.9225,1,L_SIZE), to_sfixed(0.2768,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8375,1,L_SIZE), to_sfixed(0.7638,1,L_SIZE), to_sfixed(0.8452,1,L_SIZE), to_sfixed(0.8833,1,L_SIZE), to_sfixed(0.6296,1,L_SIZE), to_sfixed(0.5670,1,L_SIZE), to_sfixed(0.4193,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.4777,1,L_SIZE), to_sfixed(0.1600,1,L_SIZE), to_sfixed(0.5380,1,L_SIZE), to_sfixed(0.7800,1,L_SIZE), to_sfixed(0.2173,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8800,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.6594,1,L_SIZE), to_sfixed(0.7167,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.6753,1,L_SIZE), to_sfixed(0.5217,1,L_SIZE), to_sfixed(0.4545,1,L_SIZE), to_sfixed(0.5615,1,L_SIZE), to_sfixed(0.2000,1,L_SIZE), to_sfixed(0.4269,1,L_SIZE), to_sfixed(0.7750,1,L_SIZE), to_sfixed(0.2262,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8004,1,L_SIZE), to_sfixed(0.7431,1,L_SIZE), to_sfixed(0.7399,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.5062,1,L_SIZE), to_sfixed(0.7371,1,L_SIZE), to_sfixed(0.5965,1,L_SIZE), to_sfixed(0.3182,1,L_SIZE), to_sfixed(0.8128,1,L_SIZE), to_sfixed(0.2154,1,L_SIZE), to_sfixed(0.4386,1,L_SIZE), to_sfixed(0.9100,1,L_SIZE), to_sfixed(0.2262,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8139,1,L_SIZE), to_sfixed(0.3724,1,L_SIZE), to_sfixed(0.6718,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.5247,1,L_SIZE), to_sfixed(0.6701,1,L_SIZE), to_sfixed(0.5217,1,L_SIZE), to_sfixed(0.5606,1,L_SIZE), to_sfixed(0.3771,1,L_SIZE), to_sfixed(0.2123,1,L_SIZE), to_sfixed(0.5029,1,L_SIZE), to_sfixed(0.8200,1,L_SIZE), to_sfixed(0.2250,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8382,1,L_SIZE), to_sfixed(0.2638,1,L_SIZE), to_sfixed(0.7090,1,L_SIZE), to_sfixed(0.7167,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.7062,1,L_SIZE), to_sfixed(0.6201,1,L_SIZE), to_sfixed(0.5909,1,L_SIZE), to_sfixed(0.4944,1,L_SIZE), to_sfixed(0.3031,1,L_SIZE), to_sfixed(0.4035,1,L_SIZE), to_sfixed(0.7100,1,L_SIZE), to_sfixed(0.2095,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.7950,1,L_SIZE), to_sfixed(0.3672,1,L_SIZE), to_sfixed(0.8607,1,L_SIZE), to_sfixed(0.9500,1,L_SIZE), to_sfixed(0.5679,1,L_SIZE), to_sfixed(0.5490,1,L_SIZE), to_sfixed(0.4409,1,L_SIZE), to_sfixed(0.8788,1,L_SIZE), to_sfixed(0.4916,1,L_SIZE), to_sfixed(0.2308,1,L_SIZE), to_sfixed(0.5673,1,L_SIZE), to_sfixed(0.6100,1,L_SIZE), to_sfixed(0.2774,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8341,1,L_SIZE), to_sfixed(0.2810,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.8167,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.5722,1,L_SIZE), to_sfixed(0.4823,1,L_SIZE), to_sfixed(0.6061,1,L_SIZE), to_sfixed(0.5307,1,L_SIZE), to_sfixed(0.1631,1,L_SIZE), to_sfixed(0.5205,1,L_SIZE), to_sfixed(0.6950,1,L_SIZE), to_sfixed(0.2036,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8119,1,L_SIZE), to_sfixed(0.7414,1,L_SIZE), to_sfixed(0.7368,1,L_SIZE), to_sfixed(0.7333,1,L_SIZE), to_sfixed(0.4938,1,L_SIZE), to_sfixed(0.5412,1,L_SIZE), to_sfixed(0.3445,1,L_SIZE), to_sfixed(0.6364,1,L_SIZE), to_sfixed(0.3771,1,L_SIZE), to_sfixed(0.2000,1,L_SIZE), to_sfixed(0.4620,1,L_SIZE), to_sfixed(0.6425,1,L_SIZE), to_sfixed(0.3452,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE)),
(to_sfixed(0.8672,1,L_SIZE), to_sfixed(0.2328,1,L_SIZE), to_sfixed(0.7183,1,L_SIZE), to_sfixed(0.6000,1,L_SIZE), to_sfixed(0.7531,1,L_SIZE), to_sfixed(0.3892,1,L_SIZE), to_sfixed(0.2461,1,L_SIZE), to_sfixed(0.3182,1,L_SIZE), to_sfixed(0.2626,1,L_SIZE), to_sfixed(0.3154,1,L_SIZE), to_sfixed(0.4444,1,L_SIZE), to_sfixed(0.3225,1,L_SIZE), to_sfixed(0.3750,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8685,1,L_SIZE), to_sfixed(0.5155,1,L_SIZE), to_sfixed(0.7430,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.6420,1,L_SIZE), to_sfixed(0.3351,1,L_SIZE), to_sfixed(0.2402,1,L_SIZE), to_sfixed(0.3636,1,L_SIZE), to_sfixed(0.2318,1,L_SIZE), to_sfixed(0.4154,1,L_SIZE), to_sfixed(0.4327,1,L_SIZE), to_sfixed(0.3550,1,L_SIZE), to_sfixed(0.3155,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8638,1,L_SIZE), to_sfixed(0.3983,1,L_SIZE), to_sfixed(0.7430,1,L_SIZE), to_sfixed(0.8000,1,L_SIZE), to_sfixed(0.6049,1,L_SIZE), to_sfixed(0.2964,1,L_SIZE), to_sfixed(0.2146,1,L_SIZE), to_sfixed(0.4091,1,L_SIZE), to_sfixed(0.2318,1,L_SIZE), to_sfixed(0.4385,1,L_SIZE), to_sfixed(0.3860,1,L_SIZE), to_sfixed(0.3400,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8564,1,L_SIZE), to_sfixed(0.6121,1,L_SIZE), to_sfixed(0.7307,1,L_SIZE), to_sfixed(0.7167,1,L_SIZE), to_sfixed(0.6543,1,L_SIZE), to_sfixed(0.4381,1,L_SIZE), to_sfixed(0.2362,1,L_SIZE), to_sfixed(0.2576,1,L_SIZE), to_sfixed(0.2346,1,L_SIZE), to_sfixed(0.3846,1,L_SIZE), to_sfixed(0.4561,1,L_SIZE), to_sfixed(0.3225,1,L_SIZE), to_sfixed(0.3571,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8436,1,L_SIZE), to_sfixed(0.2138,1,L_SIZE), to_sfixed(0.6966,1,L_SIZE), to_sfixed(0.5833,1,L_SIZE), to_sfixed(0.5247,1,L_SIZE), to_sfixed(0.5155,1,L_SIZE), to_sfixed(0.1142,1,L_SIZE), to_sfixed(0.9091,1,L_SIZE), to_sfixed(0.3492,1,L_SIZE), to_sfixed(0.4192,1,L_SIZE), to_sfixed(0.4386,1,L_SIZE), to_sfixed(0.3775,1,L_SIZE), to_sfixed(0.3869,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8496,1,L_SIZE), to_sfixed(0.4241,1,L_SIZE), to_sfixed(0.6811,1,L_SIZE), to_sfixed(0.6167,1,L_SIZE), to_sfixed(0.5802,1,L_SIZE), to_sfixed(0.4175,1,L_SIZE), to_sfixed(0.1299,1,L_SIZE), to_sfixed(0.9545,1,L_SIZE), to_sfixed(0.2626,1,L_SIZE), to_sfixed(0.5462,1,L_SIZE), to_sfixed(0.4269,1,L_SIZE), to_sfixed(0.3950,1,L_SIZE), to_sfixed(0.4137,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8260,1,L_SIZE), to_sfixed(0.8138,1,L_SIZE), to_sfixed(0.7864,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.5494,1,L_SIZE), to_sfixed(0.3557,1,L_SIZE), to_sfixed(0.0925,1,L_SIZE), to_sfixed(0.8030,1,L_SIZE), to_sfixed(0.2235,1,L_SIZE), to_sfixed(0.2962,1,L_SIZE), to_sfixed(0.4386,1,L_SIZE), to_sfixed(0.3175,1,L_SIZE), to_sfixed(0.4286,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8449,1,L_SIZE), to_sfixed(0.9500,1,L_SIZE), to_sfixed(0.8173,1,L_SIZE), to_sfixed(0.8333,1,L_SIZE), to_sfixed(0.5926,1,L_SIZE), to_sfixed(0.4613,1,L_SIZE), to_sfixed(0.1181,1,L_SIZE), to_sfixed(0.9545,1,L_SIZE), to_sfixed(0.3073,1,L_SIZE), to_sfixed(0.3846,1,L_SIZE), to_sfixed(0.4795,1,L_SIZE), to_sfixed(0.4225,1,L_SIZE), to_sfixed(0.3065,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9096,1,L_SIZE), to_sfixed(0.6190,1,L_SIZE), to_sfixed(0.6780,1,L_SIZE), to_sfixed(0.6500,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.4175,1,L_SIZE), to_sfixed(0.0945,1,L_SIZE), to_sfixed(0.8788,1,L_SIZE), to_sfixed(0.2458,1,L_SIZE), to_sfixed(0.4385,1,L_SIZE), to_sfixed(0.4737,1,L_SIZE), to_sfixed(0.4550,1,L_SIZE), to_sfixed(0.3452,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8658,1,L_SIZE), to_sfixed(0.5103,1,L_SIZE), to_sfixed(0.8080,1,L_SIZE), to_sfixed(0.8000,1,L_SIZE), to_sfixed(0.6235,1,L_SIZE), to_sfixed(0.5979,1,L_SIZE), to_sfixed(0.1181,1,L_SIZE), to_sfixed(0.8030,1,L_SIZE), to_sfixed(0.2263,1,L_SIZE), to_sfixed(0.3785,1,L_SIZE), to_sfixed(0.5205,1,L_SIZE), to_sfixed(0.5375,1,L_SIZE), to_sfixed(0.3512,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8719,1,L_SIZE), to_sfixed(0.4845,1,L_SIZE), to_sfixed(0.8359,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.5926,1,L_SIZE), to_sfixed(0.3969,1,L_SIZE), to_sfixed(0.0984,1,L_SIZE), to_sfixed(0.8030,1,L_SIZE), to_sfixed(0.2095,1,L_SIZE), to_sfixed(0.3538,1,L_SIZE), to_sfixed(0.4503,1,L_SIZE), to_sfixed(0.5775,1,L_SIZE), to_sfixed(0.3571,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9009,1,L_SIZE), to_sfixed(0.4414,1,L_SIZE), to_sfixed(0.7276,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.5494,1,L_SIZE), to_sfixed(0.3608,1,L_SIZE), to_sfixed(0.0984,1,L_SIZE), to_sfixed(0.5606,1,L_SIZE), to_sfixed(0.1788,1,L_SIZE), to_sfixed(0.4308,1,L_SIZE), to_sfixed(0.4094,1,L_SIZE), to_sfixed(0.6175,1,L_SIZE), to_sfixed(0.4643,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9117,1,L_SIZE), to_sfixed(0.5466,1,L_SIZE), to_sfixed(0.8421,1,L_SIZE), to_sfixed(0.7833,1,L_SIZE), to_sfixed(0.5988,1,L_SIZE), to_sfixed(0.3995,1,L_SIZE), to_sfixed(0.1024,1,L_SIZE), to_sfixed(0.7576,1,L_SIZE), to_sfixed(0.1536,1,L_SIZE), to_sfixed(0.3346,1,L_SIZE), to_sfixed(0.5205,1,L_SIZE), to_sfixed(0.5150,1,L_SIZE), to_sfixed(0.3095,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9184,1,L_SIZE), to_sfixed(0.8534,1,L_SIZE), to_sfixed(0.7276,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.5679,1,L_SIZE), to_sfixed(0.5155,1,L_SIZE), to_sfixed(0.1575,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.2849,1,L_SIZE), to_sfixed(0.3385,1,L_SIZE), to_sfixed(0.5322,1,L_SIZE), to_sfixed(0.5125,1,L_SIZE), to_sfixed(0.3274,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8260,1,L_SIZE), to_sfixed(0.6690,1,L_SIZE), to_sfixed(0.6811,1,L_SIZE), to_sfixed(0.6167,1,L_SIZE), to_sfixed(0.6914,1,L_SIZE), to_sfixed(0.3557,1,L_SIZE), to_sfixed(0.1535,1,L_SIZE), to_sfixed(0.4394,1,L_SIZE), to_sfixed(0.3184,1,L_SIZE), to_sfixed(0.6315,1,L_SIZE), to_sfixed(0.3801,1,L_SIZE), to_sfixed(0.5000,1,L_SIZE), to_sfixed(0.5089,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8874,1,L_SIZE), to_sfixed(0.6155,1,L_SIZE), to_sfixed(0.6656,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.6296,1,L_SIZE), to_sfixed(0.3866,1,L_SIZE), to_sfixed(0.1083,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.3631,1,L_SIZE), to_sfixed(0.3077,1,L_SIZE), to_sfixed(0.3509,1,L_SIZE), to_sfixed(0.4200,1,L_SIZE), to_sfixed(0.4940,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9359,1,L_SIZE), to_sfixed(0.8690,1,L_SIZE), to_sfixed(0.6904,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.4938,1,L_SIZE), to_sfixed(0.2526,1,L_SIZE), to_sfixed(0.0669,1,L_SIZE), to_sfixed(0.6061,1,L_SIZE), to_sfixed(0.1899,1,L_SIZE), to_sfixed(0.3769,1,L_SIZE), to_sfixed(0.3392,1,L_SIZE), to_sfixed(0.3325,1,L_SIZE), to_sfixed(0.2470,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8678,1,L_SIZE), to_sfixed(0.7948,1,L_SIZE), to_sfixed(0.7678,1,L_SIZE), to_sfixed(0.7167,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.4381,1,L_SIZE), to_sfixed(0.1280,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.2402,1,L_SIZE), to_sfixed(0.5885,1,L_SIZE), to_sfixed(0.3158,1,L_SIZE), to_sfixed(0.4650,1,L_SIZE), to_sfixed(0.3720,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8982,1,L_SIZE), to_sfixed(0.5586,1,L_SIZE), to_sfixed(0.7368,1,L_SIZE), to_sfixed(0.7167,1,L_SIZE), to_sfixed(0.5679,1,L_SIZE), to_sfixed(0.4974,1,L_SIZE), to_sfixed(0.1496,1,L_SIZE), to_sfixed(0.6818,1,L_SIZE), to_sfixed(0.3492,1,L_SIZE), to_sfixed(0.6477,1,L_SIZE), to_sfixed(0.3216,1,L_SIZE), to_sfixed(0.4050,1,L_SIZE), to_sfixed(0.3869,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8820,1,L_SIZE), to_sfixed(0.6724,1,L_SIZE), to_sfixed(0.7307,1,L_SIZE), to_sfixed(0.7167,1,L_SIZE), to_sfixed(0.6975,1,L_SIZE), to_sfixed(0.3634,1,L_SIZE), to_sfixed(0.2736,1,L_SIZE), to_sfixed(0.5152,1,L_SIZE), to_sfixed(0.3184,1,L_SIZE), to_sfixed(0.7231,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.3325,1,L_SIZE), to_sfixed(0.3274,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9103,1,L_SIZE), to_sfixed(0.5379,1,L_SIZE), to_sfixed(0.8111,1,L_SIZE), to_sfixed(0.8000,1,L_SIZE), to_sfixed(0.7593,1,L_SIZE), to_sfixed(0.3608,1,L_SIZE), to_sfixed(0.3091,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.3492,1,L_SIZE), to_sfixed(0.6615,1,L_SIZE), to_sfixed(0.3450,1,L_SIZE), to_sfixed(0.3250,1,L_SIZE), to_sfixed(0.2976,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8624,1,L_SIZE), to_sfixed(0.4603,1,L_SIZE), to_sfixed(0.7678,1,L_SIZE), to_sfixed(0.7333,1,L_SIZE), to_sfixed(0.6914,1,L_SIZE), to_sfixed(0.3814,1,L_SIZE), to_sfixed(0.2677,1,L_SIZE), to_sfixed(0.3636,1,L_SIZE), to_sfixed(0.3520,1,L_SIZE), to_sfixed(0.8308,1,L_SIZE), to_sfixed(0.2807,1,L_SIZE), to_sfixed(0.3675,1,L_SIZE), to_sfixed(0.2857,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8840,1,L_SIZE), to_sfixed(0.3276,1,L_SIZE), to_sfixed(0.8514,1,L_SIZE), to_sfixed(0.8500,1,L_SIZE), to_sfixed(0.7160,1,L_SIZE), to_sfixed(0.5670,1,L_SIZE), to_sfixed(0.2520,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.4358,1,L_SIZE), to_sfixed(0.5462,1,L_SIZE), to_sfixed(0.3567,1,L_SIZE), to_sfixed(0.3325,1,L_SIZE), to_sfixed(0.2530,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8921,1,L_SIZE), to_sfixed(0.5690,1,L_SIZE), to_sfixed(0.7059,1,L_SIZE), to_sfixed(0.6167,1,L_SIZE), to_sfixed(0.6049,1,L_SIZE), to_sfixed(0.4639,1,L_SIZE), to_sfixed(0.1634,1,L_SIZE), to_sfixed(0.9242,1,L_SIZE), to_sfixed(0.5223,1,L_SIZE), to_sfixed(0.8092,1,L_SIZE), to_sfixed(0.3275,1,L_SIZE), to_sfixed(0.3775,1,L_SIZE), to_sfixed(0.4018,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8483,1,L_SIZE), to_sfixed(0.2224,1,L_SIZE), to_sfixed(0.6502,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.6358,1,L_SIZE), to_sfixed(0.3814,1,L_SIZE), to_sfixed(0.1142,1,L_SIZE), to_sfixed(0.8030,1,L_SIZE), to_sfixed(0.3911,1,L_SIZE), to_sfixed(0.5846,1,L_SIZE), to_sfixed(0.3392,1,L_SIZE), to_sfixed(0.3875,1,L_SIZE), to_sfixed(0.3810,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8881,1,L_SIZE), to_sfixed(0.8948,1,L_SIZE), to_sfixed(0.7183,1,L_SIZE), to_sfixed(0.7333,1,L_SIZE), to_sfixed(0.5741,1,L_SIZE), to_sfixed(0.4485,1,L_SIZE), to_sfixed(0.1240,1,L_SIZE), to_sfixed(0.9242,1,L_SIZE), to_sfixed(0.4330,1,L_SIZE), to_sfixed(0.6077,1,L_SIZE), to_sfixed(0.3509,1,L_SIZE), to_sfixed(0.3700,1,L_SIZE), to_sfixed(0.4315,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9332,1,L_SIZE), to_sfixed(0.7103,1,L_SIZE), to_sfixed(0.7368,1,L_SIZE), to_sfixed(0.6500,1,L_SIZE), to_sfixed(0.5494,1,L_SIZE), to_sfixed(0.4639,1,L_SIZE), to_sfixed(0.1634,1,L_SIZE), to_sfixed(0.7273,1,L_SIZE), to_sfixed(0.4358,1,L_SIZE), to_sfixed(0.6931,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.4100,1,L_SIZE), to_sfixed(0.2857,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8395,1,L_SIZE), to_sfixed(0.5224,1,L_SIZE), to_sfixed(0.8173,1,L_SIZE), to_sfixed(0.9000,1,L_SIZE), to_sfixed(0.5988,1,L_SIZE), to_sfixed(0.4897,1,L_SIZE), to_sfixed(0.1142,1,L_SIZE), to_sfixed(0.9545,1,L_SIZE), to_sfixed(0.3184,1,L_SIZE), to_sfixed(0.5769,1,L_SIZE), to_sfixed(0.3918,1,L_SIZE), to_sfixed(0.4325,1,L_SIZE), to_sfixed(0.5238,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9670,1,L_SIZE), to_sfixed(0.2897,1,L_SIZE), to_sfixed(0.8359,1,L_SIZE), to_sfixed(0.8333,1,L_SIZE), to_sfixed(0.6049,1,L_SIZE), to_sfixed(0.7216,1,L_SIZE), to_sfixed(0.2579,1,L_SIZE), to_sfixed(0.8030,1,L_SIZE), to_sfixed(0.7542,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.4900,1,L_SIZE), to_sfixed(0.3929,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9090,1,L_SIZE), to_sfixed(0.2879,1,L_SIZE), to_sfixed(0.8173,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.5494,1,L_SIZE), to_sfixed(0.6701,1,L_SIZE), to_sfixed(0.2165,1,L_SIZE), to_sfixed(0.7879,1,L_SIZE), to_sfixed(0.6397,1,L_SIZE), to_sfixed(0.9038,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.4450,1,L_SIZE), to_sfixed(0.3690,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8334,1,L_SIZE), to_sfixed(0.6603,1,L_SIZE), to_sfixed(0.7368,1,L_SIZE), to_sfixed(0.7000,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.5928,1,L_SIZE), to_sfixed(0.1811,1,L_SIZE), to_sfixed(0.7576,1,L_SIZE), to_sfixed(0.2905,1,L_SIZE), to_sfixed(0.5885,1,L_SIZE), to_sfixed(0.3275,1,L_SIZE), to_sfixed(0.3950,1,L_SIZE), to_sfixed(0.3095,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9231,1,L_SIZE), to_sfixed(0.5621,1,L_SIZE), to_sfixed(0.7864,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.6605,1,L_SIZE), to_sfixed(0.4716,1,L_SIZE), to_sfixed(0.1102,1,L_SIZE), to_sfixed(0.7576,1,L_SIZE), to_sfixed(0.2235,1,L_SIZE), to_sfixed(0.4523,1,L_SIZE), to_sfixed(0.5614,1,L_SIZE), to_sfixed(0.4550,1,L_SIZE), to_sfixed(0.4048,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8665,1,L_SIZE), to_sfixed(0.5638,1,L_SIZE), to_sfixed(0.7988,1,L_SIZE), to_sfixed(0.7333,1,L_SIZE), to_sfixed(0.6543,1,L_SIZE), to_sfixed(0.4253,1,L_SIZE), to_sfixed(0.1181,1,L_SIZE), to_sfixed(0.9091,1,L_SIZE), to_sfixed(0.2682,1,L_SIZE), to_sfixed(0.4292,1,L_SIZE), to_sfixed(0.5088,1,L_SIZE), to_sfixed(0.5275,1,L_SIZE), to_sfixed(0.3393,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8739,1,L_SIZE), to_sfixed(0.5948,1,L_SIZE), to_sfixed(0.7276,1,L_SIZE), to_sfixed(0.6167,1,L_SIZE), to_sfixed(0.6543,1,L_SIZE), to_sfixed(0.3582,1,L_SIZE), to_sfixed(0.1378,1,L_SIZE), to_sfixed(0.6061,1,L_SIZE), to_sfixed(0.2626,1,L_SIZE), to_sfixed(0.4062,1,L_SIZE), to_sfixed(0.3977,1,L_SIZE), to_sfixed(0.4375,1,L_SIZE), to_sfixed(0.4018,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9292,1,L_SIZE), to_sfixed(0.4759,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.7333,1,L_SIZE), to_sfixed(0.5556,1,L_SIZE), to_sfixed(0.3479,1,L_SIZE), to_sfixed(0.1339,1,L_SIZE), to_sfixed(0.6212,1,L_SIZE), to_sfixed(0.2877,1,L_SIZE), to_sfixed(0.7369,1,L_SIZE), to_sfixed(0.4094,1,L_SIZE), to_sfixed(0.4200,1,L_SIZE), to_sfixed(0.3661,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9258,1,L_SIZE), to_sfixed(0.7517,1,L_SIZE), to_sfixed(0.6997,1,L_SIZE), to_sfixed(0.7500,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.3299,1,L_SIZE), to_sfixed(0.0925,1,L_SIZE), to_sfixed(0.7879,1,L_SIZE), to_sfixed(0.3212,1,L_SIZE), to_sfixed(0.5092,1,L_SIZE), to_sfixed(0.4561,1,L_SIZE), to_sfixed(0.4375,1,L_SIZE), to_sfixed(0.3095,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9069,1,L_SIZE), to_sfixed(0.6379,1,L_SIZE), to_sfixed(0.8050,1,L_SIZE), to_sfixed(0.7667,1,L_SIZE), to_sfixed(0.6852,1,L_SIZE), to_sfixed(0.4381,1,L_SIZE), to_sfixed(0.1811,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.4078,1,L_SIZE), to_sfixed(0.8215,1,L_SIZE), to_sfixed(0.4971,1,L_SIZE), to_sfixed(0.3900,1,L_SIZE), to_sfixed(0.4137,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8645,1,L_SIZE), to_sfixed(0.5810,1,L_SIZE), to_sfixed(0.7121,1,L_SIZE), to_sfixed(0.6500,1,L_SIZE), to_sfixed(0.5432,1,L_SIZE), to_sfixed(0.3814,1,L_SIZE), to_sfixed(0.1299,1,L_SIZE), to_sfixed(0.6061,1,L_SIZE), to_sfixed(0.2709,1,L_SIZE), to_sfixed(0.7892,1,L_SIZE), to_sfixed(0.4211,1,L_SIZE), to_sfixed(0.4375,1,L_SIZE), to_sfixed(0.4077,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9157,1,L_SIZE), to_sfixed(0.4448,1,L_SIZE), to_sfixed(0.8328,1,L_SIZE), to_sfixed(0.8167,1,L_SIZE), to_sfixed(0.6481,1,L_SIZE), to_sfixed(0.3995,1,L_SIZE), to_sfixed(0.1654,1,L_SIZE), to_sfixed(0.5909,1,L_SIZE), to_sfixed(0.4302,1,L_SIZE), to_sfixed(0.6662,1,L_SIZE), to_sfixed(0.4327,1,L_SIZE), to_sfixed(0.4500,1,L_SIZE), to_sfixed(0.4464,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9036,1,L_SIZE), to_sfixed(0.7931,1,L_SIZE), to_sfixed(0.8854,1,L_SIZE), to_sfixed(0.8333,1,L_SIZE), to_sfixed(0.6914,1,L_SIZE), to_sfixed(0.5103,1,L_SIZE), to_sfixed(0.1890,1,L_SIZE), to_sfixed(0.4091,1,L_SIZE), to_sfixed(0.3101,1,L_SIZE), to_sfixed(0.6538,1,L_SIZE), to_sfixed(0.3918,1,L_SIZE), to_sfixed(0.4800,1,L_SIZE), to_sfixed(0.3750,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8227,1,L_SIZE), to_sfixed(0.5224,1,L_SIZE), to_sfixed(0.7183,1,L_SIZE), to_sfixed(0.6333,1,L_SIZE), to_sfixed(0.5926,1,L_SIZE), to_sfixed(0.3222,1,L_SIZE), to_sfixed(0.0965,1,L_SIZE), to_sfixed(0.6061,1,L_SIZE), to_sfixed(0.2039,1,L_SIZE), to_sfixed(0.4231,1,L_SIZE), to_sfixed(0.3860,1,L_SIZE), to_sfixed(0.4575,1,L_SIZE), to_sfixed(0.3036,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8611,1,L_SIZE), to_sfixed(0.4121,1,L_SIZE), to_sfixed(0.7059,1,L_SIZE), to_sfixed(0.6500,1,L_SIZE), to_sfixed(0.5309,1,L_SIZE), to_sfixed(0.3582,1,L_SIZE), to_sfixed(0.1004,1,L_SIZE), to_sfixed(0.7273,1,L_SIZE), to_sfixed(0.1788,1,L_SIZE), to_sfixed(0.7615,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.4075,1,L_SIZE), to_sfixed(0.2798,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9548,1,L_SIZE), to_sfixed(0.4328,1,L_SIZE), to_sfixed(0.7678,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.5617,1,L_SIZE), to_sfixed(0.4330,1,L_SIZE), to_sfixed(0.1378,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.3464,1,L_SIZE), to_sfixed(0.7462,1,L_SIZE), to_sfixed(0.3626,1,L_SIZE), to_sfixed(0.4275,1,L_SIZE), to_sfixed(0.3929,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9245,1,L_SIZE), to_sfixed(0.9741,1,L_SIZE), to_sfixed(0.7585,1,L_SIZE), to_sfixed(0.6833,1,L_SIZE), to_sfixed(0.5864,1,L_SIZE), to_sfixed(0.4330,1,L_SIZE), to_sfixed(0.1201,1,L_SIZE), to_sfixed(0.7879,1,L_SIZE), to_sfixed(0.2961,1,L_SIZE), to_sfixed(0.5923,1,L_SIZE), to_sfixed(0.3743,1,L_SIZE), to_sfixed(0.4350,1,L_SIZE), to_sfixed(0.4405,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9036,1,L_SIZE), to_sfixed(0.6741,1,L_SIZE), to_sfixed(0.7678,1,L_SIZE), to_sfixed(0.7667,1,L_SIZE), to_sfixed(0.6296,1,L_SIZE), to_sfixed(0.4639,1,L_SIZE), to_sfixed(0.1476,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.3939,1,L_SIZE), to_sfixed(0.5615,1,L_SIZE), to_sfixed(0.4094,1,L_SIZE), to_sfixed(0.3900,1,L_SIZE), to_sfixed(0.4464,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8948,1,L_SIZE), to_sfixed(0.7379,1,L_SIZE), to_sfixed(0.6997,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.7407,1,L_SIZE), to_sfixed(0.4098,1,L_SIZE), to_sfixed(0.1358,1,L_SIZE), to_sfixed(0.6515,1,L_SIZE), to_sfixed(0.3771,1,L_SIZE), to_sfixed(0.7846,1,L_SIZE), to_sfixed(0.3450,1,L_SIZE), to_sfixed(0.3900,1,L_SIZE), to_sfixed(0.4970,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.8881,1,L_SIZE), to_sfixed(0.4466,1,L_SIZE), to_sfixed(0.7337,1,L_SIZE), to_sfixed(0.6667,1,L_SIZE), to_sfixed(0.7407,1,L_SIZE), to_sfixed(0.4253,1,L_SIZE), to_sfixed(0.1339,1,L_SIZE), to_sfixed(0.8030,1,L_SIZE), to_sfixed(0.4078,1,L_SIZE), to_sfixed(0.7154,1,L_SIZE), to_sfixed(0.3509,1,L_SIZE), to_sfixed(0.4050,1,L_SIZE), to_sfixed(0.5000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE)),
(to_sfixed(0.9528,1,L_SIZE), to_sfixed(0.7069,1,L_SIZE), to_sfixed(0.8483,1,L_SIZE), to_sfixed(0.8167,1,L_SIZE), to_sfixed(0.5926,1,L_SIZE), to_sfixed(0.5284,1,L_SIZE), to_sfixed(0.1496,1,L_SIZE), to_sfixed(0.8485,1,L_SIZE), to_sfixed(0.3771,1,L_SIZE), to_sfixed(0.7077,1,L_SIZE), to_sfixed(0.3567,1,L_SIZE), to_sfixed(0.4000,1,L_SIZE), to_sfixed(0.3333,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(0.0000,1,L_SIZE), to_sfixed(1.0000,1,L_SIZE))
);
-- Signals
signal INPUT : ARRAY_OF_SFIXED (0 to (PERCEPTRONS_INPUT-1));
signal FROM_LOOKUP : ARRAY_OF_SFIXED (0 to (PERCEPTRONS_HIDDEN-1));
signal OUTPUT : ARRAY_OF_SFIXED (0 to (PERCEPTRONS_HIDDEN-1));
-- Signals
signal IN_UNSIGNED : unsigned(7 downto 0);
signal LOOKUP_TABLE_K : unsigned(7 downto 0);
signal LOOKUP_TABLE_OUT : INPUT_LOOKUP_ARRAY;
signal LOOKUP_TABLE_OUT_CONSTRAINED : INPUT_CONSTRAINED_SFIXED_ARRAY;
signal UNIT_DELAY_OUT : INPUT_CONSTRAINED_SFIXED_ARRAY;
--=============================================================================
-- architecture begin
--=============================================================================
begin
IN_UNSIGNED <= unsigned(SAMPLE_NUMBER);
LOOKUP_TABLE_K <= -- Make sure no index will fall out of boundary
to_unsigned(0, 8) when IN_UNSIGNED <= 0
else
to_unsigned(SAMPLE_SIZE, 8) when IN_UNSIGNED >= SAMPLE_SIZE
else
IN_UNSIGNED;
LOOKUP_TABLE_OUT <= INPUTS_TABLE(to_integer(LOOKUP_TABLE_K));
GEN_PROPER_OUTPUT:
for I in 0 to (PERCEPTRONS_INPUT-1+PERCEPTRONS_OUTPUT) generate
LOOKUP_TABLE_OUT_CONSTRAINED(I)<=
resize(LOOKUP_TABLE_OUT(I),U_SIZE,L_SIZE);
end generate GEN_PROPER_OUTPUT;
UNIT_DELAY_PROCESS : process (clk)
begin
if CLK'event and CLK = '1' then
UNIT_DELAY_OUT <= LOOKUP_TABLE_OUT_CONSTRAINED;
end if;
end process UNIT_DELAY_PROCESS;
SELECTED_INPUT <= UNIT_DELAY_OUT;
end RTL;
--=============================================================================
-- architecture end
--=============================================================================
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
entity class_adder is
generic(N: integer:= 4);
port(
number1_in: in std_logic_vector(N-1 downto 0);
number2_in: in std_logic_vector(N-1 downto 0);
cin: in std_logic;
result: out std_logic_vector(N-1 downto 0);
cout: out std_logic
);
end;
architecture class_adder_arq of class_adder is
signal aux: signed (N+1 downto 0) := to_signed(0, N+2);
begin
aux <= ('0' & signed(number1_in) & cin) + ('0' & signed(number2_in) & '1');
result <= std_logic_vector( aux (N downto 1) );
cout <= aux (N+1);
end;
|
library ieee ;
use ieee.std_logic_1164.all ;
use ieee.numeric_std.all ;
use ieee.math_real.all ;
use ieee.math_complex.all ;
entity bladerf is
port (
-- Main 38.4MHz system clock
c4_clock : in std_logic ;
-- VCTCXO DAC
dac_sclk : out std_logic ;
dac_sdi : out std_logic ;
dac_sdo : in std_logic ;
dac_csx : out std_logic ;
-- LEDs
led : buffer std_logic_vector(3 downto 1) := (others =>'0') ;
-- LMS RX Interface
lms_rx_clock_out : in std_logic ;
lms_rx_data : in signed(11 downto 0) ;
lms_rx_enable : out std_logic ;
lms_rx_iq_select : in std_logic := '0' ;
lms_rx_v : out std_logic_vector(2 downto 1) ;
-- LMS TX Interface
c4_tx_clock : in std_logic ;
lms_tx_data : out signed(11 downto 0) ;
lms_tx_enable : out std_logic ;
lms_tx_iq_select : buffer std_logic := '0' ;
lms_tx_v : out std_logic_vector(2 downto 1) ;
-- LMS SPI Interface
lms_sclk : buffer std_logic ;
lms_sen : out std_logic ;
lms_sdio : out std_logic ;
lms_sdo : in std_logic ;
-- LMS Control Interface
lms_pll_out : in std_logic ;
lms_reset : buffer std_logic ;
-- Si5338 I2C Interface
si_scl : inout std_logic ;
si_sda : inout std_logic ;
-- FX3 Interface
fx3_pclk : in std_logic ;
fx3_gpif : inout std_logic_vector(31 downto 0) ;
fx3_ctl : inout std_logic_vector(12 downto 0) ;
fx3_uart_rxd : out std_logic ;
fx3_uart_txd : in std_logic ;
fx3_uart_csx : in std_logic ;
-- Reference signals
ref_1pps : in std_logic ;
ref_sma_clock : in std_logic ;
-- Mini expansion
mini_exp1 : inout std_logic ;
mini_exp2 : inout std_logic ;
-- Expansion Interface
exp_present : in std_logic ;
exp_spi_clock : out std_logic ;
exp_spi_miso : in std_logic ;
exp_spi_mosi : out std_logic ;
exp_clock_in : in std_logic ;
exp_gpio : inout std_logic_vector(32 downto 2)
) ;
end entity ; -- bladerf
--TODO: explain revisions
|
----------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 15:52:25 03/11/2014
-- Design Name:
-- Module Name: BaudRateGenerator - Behavioral
-- Project Name:
-- Target Devices:
-- Tool versions:
-- Description:
--
-- Dependencies:
--
-- Revision:
-- Revision 0.01 - File Created
-- Additional Comments:
--
----------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
-- Uncomment the following library declaration if using
-- arithmetic functions with Signed or Unsigned values
use IEEE.NUMERIC_STD.ALL;
-- Uncomment the following library declaration if instantiating
-- any Xilinx primitives in this code.
--library UNISIM;
--use UNISIM.VComponents.all;
entity BaudRateGenerator is
Port ( clk : in STD_LOGIC;
rst : in STD_LOGIC;
tick : out STD_LOGIC);
end BaudRateGenerator;
architecture Behavioral of BaudRateGenerator is
signal brojac, brojacNext : unsigned (9 downto 0);
begin
process (clk, rst)
begin
if(rst = '0') then
brojac <= "0000000000";
else
if (clk'event and clk = '1') then
brojac <= brojacNext;
end if;
end if;
end process;
brojacNext <= "0000000000" when brojac = 651 else
brojac + 1;
tick <= '1' when brojac = 651 else '0';
end Behavioral;
|
package COMPONENTS is
component DUMMY_MODULE
port (I : in bit; O : out bit);
end component;
end package;
entity DUMMY_MODULE is
port (I: in bit; O: out bit);
end entity;
architecture RTL of DUMMY_MODULE is
begin
O <= I;
end architecture;
use WORK.COMPONENTS.DUMMY_MODULE;
entity DUMMY_TOP is
port (I : in bit; O : out bit);
end entity;
architecture RTL of DUMMY_TOP is
begin
U: DUMMY_MODULE port map(I=>I, O=>O);
end architecture;
|
package COMPONENTS is
component DUMMY_MODULE
port (I : in bit; O : out bit);
end component;
end package;
entity DUMMY_MODULE is
port (I: in bit; O: out bit);
end entity;
architecture RTL of DUMMY_MODULE is
begin
O <= I;
end architecture;
use WORK.COMPONENTS.DUMMY_MODULE;
entity DUMMY_TOP is
port (I : in bit; O : out bit);
end entity;
architecture RTL of DUMMY_TOP is
begin
U: DUMMY_MODULE port map(I=>I, O=>O);
end architecture;
|
package COMPONENTS is
component DUMMY_MODULE
port (I : in bit; O : out bit);
end component;
end package;
entity DUMMY_MODULE is
port (I: in bit; O: out bit);
end entity;
architecture RTL of DUMMY_MODULE is
begin
O <= I;
end architecture;
use WORK.COMPONENTS.DUMMY_MODULE;
entity DUMMY_TOP is
port (I : in bit; O : out bit);
end entity;
architecture RTL of DUMMY_TOP is
begin
U: DUMMY_MODULE port map(I=>I, O=>O);
end architecture;
|
package COMPONENTS is
component DUMMY_MODULE
port (I : in bit; O : out bit);
end component;
end package;
entity DUMMY_MODULE is
port (I: in bit; O: out bit);
end entity;
architecture RTL of DUMMY_MODULE is
begin
O <= I;
end architecture;
use WORK.COMPONENTS.DUMMY_MODULE;
entity DUMMY_TOP is
port (I : in bit; O : out bit);
end entity;
architecture RTL of DUMMY_TOP is
begin
U: DUMMY_MODULE port map(I=>I, O=>O);
end architecture;
|
package COMPONENTS is
component DUMMY_MODULE
port (I : in bit; O : out bit);
end component;
end package;
entity DUMMY_MODULE is
port (I: in bit; O: out bit);
end entity;
architecture RTL of DUMMY_MODULE is
begin
O <= I;
end architecture;
use WORK.COMPONENTS.DUMMY_MODULE;
entity DUMMY_TOP is
port (I : in bit; O : out bit);
end entity;
architecture RTL of DUMMY_TOP is
begin
U: DUMMY_MODULE port map(I=>I, O=>O);
end architecture;
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.