content stringlengths 1 1.04M ⌀ |
|---|
Library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
Entity TenSecDelay is
Port (load, clock: in std_logic;
TC: out std_logic);
End Entity TenSecDelay;
Architecture csa of TenSecDelay is
Type StateName is (idle, hold, count);
signal Prest, NxtSt, idlenxt, holdnxt, countnxt: StateName;
signal decrement_str, decrement: unsigned(9 downto 0);
begin
idlenxt <= hold when load ='1' else idle;
holdnxt <= count when load ='0' else hold;
countnxt <= idle when decrement_str = "0000000000" ELSE count;
NxtSt <= idlenxt when prest = idle else holdnxt when prest = hold else countnxt;
Prest <= NxtSt when rising_edge (clock);
decrement <= "1111111111" when prest /= count else decrement_str - 1;
decrement_str <= decrement when rising_edge(clock);
TC <= '1' when (prest = hold and nxtSt= count )OR prest = count else '0';
end csa; |
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- 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: tc286.vhd,v 1.2 2001-10-26 16:29:49 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c03s01b03x00p12n01i00286ent IS
END c03s01b03x00p12n01i00286ent;
ARCHITECTURE c03s01b03x00p12n01i00286arch OF c03s01b03x00p12n01i00286ent IS
type time is range 0 to 1E8 units
fs;
ps = 10 fs;
end units;
BEGIN
TESTING: PROCESS
variable i : integer;
BEGIN
i:=time'pos(3 ps);
assert NOT(i=30)
report "***PASSED TEST: c03s01b03x00p12n01i00286"
severity NOTE;
assert (i=30)
report "***FAILED TEST: c03s01b03x00p12n01i00286 - The position number of the value corresponding to a unit name is the number of the base units represented by that unit name."
severity ERROR;
wait;
END PROCESS TESTING;
END c03s01b03x00p12n01i00286arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- 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: tc286.vhd,v 1.2 2001-10-26 16:29:49 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c03s01b03x00p12n01i00286ent IS
END c03s01b03x00p12n01i00286ent;
ARCHITECTURE c03s01b03x00p12n01i00286arch OF c03s01b03x00p12n01i00286ent IS
type time is range 0 to 1E8 units
fs;
ps = 10 fs;
end units;
BEGIN
TESTING: PROCESS
variable i : integer;
BEGIN
i:=time'pos(3 ps);
assert NOT(i=30)
report "***PASSED TEST: c03s01b03x00p12n01i00286"
severity NOTE;
assert (i=30)
report "***FAILED TEST: c03s01b03x00p12n01i00286 - The position number of the value corresponding to a unit name is the number of the base units represented by that unit name."
severity ERROR;
wait;
END PROCESS TESTING;
END c03s01b03x00p12n01i00286arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- 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: tc286.vhd,v 1.2 2001-10-26 16:29:49 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c03s01b03x00p12n01i00286ent IS
END c03s01b03x00p12n01i00286ent;
ARCHITECTURE c03s01b03x00p12n01i00286arch OF c03s01b03x00p12n01i00286ent IS
type time is range 0 to 1E8 units
fs;
ps = 10 fs;
end units;
BEGIN
TESTING: PROCESS
variable i : integer;
BEGIN
i:=time'pos(3 ps);
assert NOT(i=30)
report "***PASSED TEST: c03s01b03x00p12n01i00286"
severity NOTE;
assert (i=30)
report "***FAILED TEST: c03s01b03x00p12n01i00286 - The position number of the value corresponding to a unit name is the number of the base units represented by that unit name."
severity ERROR;
wait;
END PROCESS TESTING;
END c03s01b03x00p12n01i00286arch;
|
-------------------------------------------------------------------------------
--
-- Parametrizable, generic RAM with enable.
--
-- $Id: generic_ram_ena-c.vhd,v 1.1 2006-06-05 20:01:05 arniml Exp $
--
-- Copyright (c) 2006, Arnim Laeuger (arniml@opencores.org)
--
-- All rights reserved
--
-------------------------------------------------------------------------------
configuration generic_ram_ena_rtl_c0 of generic_ram_ena is
for rtl
end for;
end generic_ram_ena_rtl_c0;
|
--------------------------------------------------------------------------------
--
-- FIFO Generator Core Demo Testbench
--
--------------------------------------------------------------------------------
--
-- (c) Copyright 2009 - 2010 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--------------------------------------------------------------------------------
--
-- Filename: fifo_rx_pkg.vhd
--
-- Description:
-- This is the demo testbench package file for FIFO Generator core.
--
--------------------------------------------------------------------------------
-- Library Declarations
--------------------------------------------------------------------------------
LIBRARY IEEE;
USE IEEE.STD_LOGIC_1164.ALL;
USE ieee.std_logic_arith.ALL;
USE IEEE.STD_LOGIC_UNSIGNED.ALL;
PACKAGE fifo_rx_pkg IS
FUNCTION divroundup (
data_value : INTEGER;
divisor : INTEGER)
RETURN INTEGER;
------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : INTEGER;
false_case : INTEGER)
RETURN INTEGER;
------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : STD_LOGIC;
false_case : STD_LOGIC)
RETURN STD_LOGIC;
------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : TIME;
false_case : TIME)
RETURN TIME;
------------------------
FUNCTION log2roundup (
data_value : INTEGER)
RETURN INTEGER;
------------------------
FUNCTION hexstr_to_std_logic_vec(
arg1 : string;
size : integer )
RETURN std_logic_vector;
------------------------
COMPONENT fifo_rx_rng IS
GENERIC (WIDTH : integer := 8;
SEED : integer := 3);
PORT (
CLK : IN STD_LOGIC;
RESET : IN STD_LOGIC;
ENABLE : IN STD_LOGIC;
RANDOM_NUM : OUT STD_LOGIC_VECTOR (WIDTH-1 DOWNTO 0)
);
END COMPONENT;
------------------------
COMPONENT fifo_rx_dgen IS
GENERIC (
C_DIN_WIDTH : INTEGER := 32;
C_DOUT_WIDTH : INTEGER := 32;
C_CH_TYPE : INTEGER := 0;
TB_SEED : INTEGER := 2
);
PORT (
RESET : IN STD_LOGIC;
WR_CLK : IN STD_LOGIC;
PRC_WR_EN : IN STD_LOGIC;
FULL : IN STD_LOGIC;
WR_EN : OUT STD_LOGIC;
WR_DATA : OUT STD_LOGIC_VECTOR(C_DIN_WIDTH-1 DOWNTO 0)
);
END COMPONENT;
------------------------
COMPONENT fifo_rx_dverif IS
GENERIC(
C_DIN_WIDTH : INTEGER := 0;
C_DOUT_WIDTH : INTEGER := 0;
C_USE_EMBEDDED_REG : INTEGER := 0;
C_CH_TYPE : INTEGER := 0;
TB_SEED : INTEGER := 2
);
PORT(
RESET : IN STD_LOGIC;
RD_CLK : IN STD_LOGIC;
PRC_RD_EN : IN STD_LOGIC;
EMPTY : IN STD_LOGIC;
DATA_OUT : IN STD_LOGIC_VECTOR(C_DOUT_WIDTH-1 DOWNTO 0);
RD_EN : OUT STD_LOGIC;
DOUT_CHK : OUT STD_LOGIC
);
END COMPONENT;
------------------------
COMPONENT fifo_rx_pctrl IS
GENERIC(
AXI_CHANNEL : STRING := "NONE";
C_APPLICATION_TYPE : INTEGER := 0;
C_DIN_WIDTH : INTEGER := 0;
C_DOUT_WIDTH : INTEGER := 0;
C_WR_PNTR_WIDTH : INTEGER := 0;
C_RD_PNTR_WIDTH : INTEGER := 0;
C_CH_TYPE : INTEGER := 0;
FREEZEON_ERROR : INTEGER := 0;
TB_STOP_CNT : INTEGER := 2;
TB_SEED : INTEGER := 2
);
PORT(
RESET_WR : IN STD_LOGIC;
RESET_RD : IN STD_LOGIC;
WR_CLK : IN STD_LOGIC;
RD_CLK : IN STD_LOGIC;
FULL : IN STD_LOGIC;
EMPTY : IN STD_LOGIC;
ALMOST_FULL : IN STD_LOGIC;
ALMOST_EMPTY : IN STD_LOGIC;
DATA_IN : IN STD_LOGIC_VECTOR(C_DIN_WIDTH-1 DOWNTO 0);
DATA_OUT : IN STD_LOGIC_VECTOR(C_DOUT_WIDTH-1 DOWNTO 0);
DOUT_CHK : IN STD_LOGIC;
PRC_WR_EN : OUT STD_LOGIC;
PRC_RD_EN : OUT STD_LOGIC;
RESET_EN : OUT STD_LOGIC;
SIM_DONE : OUT STD_LOGIC;
STATUS : OUT STD_LOGIC_VECTOR(7 DOWNTO 0)
);
END COMPONENT;
------------------------
COMPONENT fifo_rx_synth IS
GENERIC(
FREEZEON_ERROR : INTEGER := 0;
TB_STOP_CNT : INTEGER := 0;
TB_SEED : INTEGER := 1
);
PORT(
CLK : IN STD_LOGIC;
RESET : IN STD_LOGIC;
SIM_DONE : OUT STD_LOGIC;
STATUS : OUT STD_LOGIC_VECTOR(7 DOWNTO 0)
);
END COMPONENT;
------------------------
COMPONENT fifo_rx_exdes IS
PORT (
CLK : IN std_logic;
SRST : IN std_logic;
WR_EN : IN std_logic;
RD_EN : IN std_logic;
DIN : IN std_logic_vector(9-1 DOWNTO 0);
DOUT : OUT std_logic_vector(9-1 DOWNTO 0);
FULL : OUT std_logic;
EMPTY : OUT std_logic);
END COMPONENT;
------------------------
END fifo_rx_pkg;
PACKAGE BODY fifo_rx_pkg IS
FUNCTION divroundup (
data_value : INTEGER;
divisor : INTEGER)
RETURN INTEGER IS
VARIABLE div : INTEGER;
BEGIN
div := data_value/divisor;
IF ( (data_value MOD divisor) /= 0) THEN
div := div+1;
END IF;
RETURN div;
END divroundup;
---------------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : INTEGER;
false_case : INTEGER)
RETURN INTEGER IS
VARIABLE retval : INTEGER := 0;
BEGIN
IF condition=false THEN
retval:=false_case;
ELSE
retval:=true_case;
END IF;
RETURN retval;
END if_then_else;
---------------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : STD_LOGIC;
false_case : STD_LOGIC)
RETURN STD_LOGIC IS
VARIABLE retval : STD_LOGIC := '0';
BEGIN
IF condition=false THEN
retval:=false_case;
ELSE
retval:=true_case;
END IF;
RETURN retval;
END if_then_else;
---------------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : TIME;
false_case : TIME)
RETURN TIME IS
VARIABLE retval : TIME := 0 ps;
BEGIN
IF condition=false THEN
retval:=false_case;
ELSE
retval:=true_case;
END IF;
RETURN retval;
END if_then_else;
-------------------------------
FUNCTION log2roundup (
data_value : INTEGER)
RETURN INTEGER IS
VARIABLE width : INTEGER := 0;
VARIABLE cnt : INTEGER := 1;
BEGIN
IF (data_value <= 1) THEN
width := 1;
ELSE
WHILE (cnt < data_value) LOOP
width := width + 1;
cnt := cnt *2;
END LOOP;
END IF;
RETURN width;
END log2roundup;
------------------------------------------------------------------------------
-- hexstr_to_std_logic_vec
-- This function converts a hex string to a std_logic_vector
------------------------------------------------------------------------------
FUNCTION hexstr_to_std_logic_vec(
arg1 : string;
size : integer )
RETURN std_logic_vector IS
VARIABLE result : std_logic_vector(size-1 DOWNTO 0) := (OTHERS => '0');
VARIABLE bin : std_logic_vector(3 DOWNTO 0);
VARIABLE index : integer := 0;
BEGIN
FOR i IN arg1'reverse_range LOOP
CASE arg1(i) IS
WHEN '0' => bin := (OTHERS => '0');
WHEN '1' => bin := (0 => '1', OTHERS => '0');
WHEN '2' => bin := (1 => '1', OTHERS => '0');
WHEN '3' => bin := (0 => '1', 1 => '1', OTHERS => '0');
WHEN '4' => bin := (2 => '1', OTHERS => '0');
WHEN '5' => bin := (0 => '1', 2 => '1', OTHERS => '0');
WHEN '6' => bin := (1 => '1', 2 => '1', OTHERS => '0');
WHEN '7' => bin := (3 => '0', OTHERS => '1');
WHEN '8' => bin := (3 => '1', OTHERS => '0');
WHEN '9' => bin := (0 => '1', 3 => '1', OTHERS => '0');
WHEN 'A' => bin := (0 => '0', 2 => '0', OTHERS => '1');
WHEN 'a' => bin := (0 => '0', 2 => '0', OTHERS => '1');
WHEN 'B' => bin := (2 => '0', OTHERS => '1');
WHEN 'b' => bin := (2 => '0', OTHERS => '1');
WHEN 'C' => bin := (0 => '0', 1 => '0', OTHERS => '1');
WHEN 'c' => bin := (0 => '0', 1 => '0', OTHERS => '1');
WHEN 'D' => bin := (1 => '0', OTHERS => '1');
WHEN 'd' => bin := (1 => '0', OTHERS => '1');
WHEN 'E' => bin := (0 => '0', OTHERS => '1');
WHEN 'e' => bin := (0 => '0', OTHERS => '1');
WHEN 'F' => bin := (OTHERS => '1');
WHEN 'f' => bin := (OTHERS => '1');
WHEN OTHERS =>
FOR j IN 0 TO 3 LOOP
bin(j) := 'X';
END LOOP;
END CASE;
FOR j IN 0 TO 3 LOOP
IF (index*4)+j < size THEN
result((index*4)+j) := bin(j);
END IF;
END LOOP;
index := index + 1;
END LOOP;
RETURN result;
END hexstr_to_std_logic_vec;
END fifo_rx_pkg;
|
--------------------------------------------------------------------------------
--
-- FIFO Generator Core Demo Testbench
--
--------------------------------------------------------------------------------
--
-- (c) Copyright 2009 - 2010 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--------------------------------------------------------------------------------
--
-- Filename: fifo_rx_pkg.vhd
--
-- Description:
-- This is the demo testbench package file for FIFO Generator core.
--
--------------------------------------------------------------------------------
-- Library Declarations
--------------------------------------------------------------------------------
LIBRARY IEEE;
USE IEEE.STD_LOGIC_1164.ALL;
USE ieee.std_logic_arith.ALL;
USE IEEE.STD_LOGIC_UNSIGNED.ALL;
PACKAGE fifo_rx_pkg IS
FUNCTION divroundup (
data_value : INTEGER;
divisor : INTEGER)
RETURN INTEGER;
------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : INTEGER;
false_case : INTEGER)
RETURN INTEGER;
------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : STD_LOGIC;
false_case : STD_LOGIC)
RETURN STD_LOGIC;
------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : TIME;
false_case : TIME)
RETURN TIME;
------------------------
FUNCTION log2roundup (
data_value : INTEGER)
RETURN INTEGER;
------------------------
FUNCTION hexstr_to_std_logic_vec(
arg1 : string;
size : integer )
RETURN std_logic_vector;
------------------------
COMPONENT fifo_rx_rng IS
GENERIC (WIDTH : integer := 8;
SEED : integer := 3);
PORT (
CLK : IN STD_LOGIC;
RESET : IN STD_LOGIC;
ENABLE : IN STD_LOGIC;
RANDOM_NUM : OUT STD_LOGIC_VECTOR (WIDTH-1 DOWNTO 0)
);
END COMPONENT;
------------------------
COMPONENT fifo_rx_dgen IS
GENERIC (
C_DIN_WIDTH : INTEGER := 32;
C_DOUT_WIDTH : INTEGER := 32;
C_CH_TYPE : INTEGER := 0;
TB_SEED : INTEGER := 2
);
PORT (
RESET : IN STD_LOGIC;
WR_CLK : IN STD_LOGIC;
PRC_WR_EN : IN STD_LOGIC;
FULL : IN STD_LOGIC;
WR_EN : OUT STD_LOGIC;
WR_DATA : OUT STD_LOGIC_VECTOR(C_DIN_WIDTH-1 DOWNTO 0)
);
END COMPONENT;
------------------------
COMPONENT fifo_rx_dverif IS
GENERIC(
C_DIN_WIDTH : INTEGER := 0;
C_DOUT_WIDTH : INTEGER := 0;
C_USE_EMBEDDED_REG : INTEGER := 0;
C_CH_TYPE : INTEGER := 0;
TB_SEED : INTEGER := 2
);
PORT(
RESET : IN STD_LOGIC;
RD_CLK : IN STD_LOGIC;
PRC_RD_EN : IN STD_LOGIC;
EMPTY : IN STD_LOGIC;
DATA_OUT : IN STD_LOGIC_VECTOR(C_DOUT_WIDTH-1 DOWNTO 0);
RD_EN : OUT STD_LOGIC;
DOUT_CHK : OUT STD_LOGIC
);
END COMPONENT;
------------------------
COMPONENT fifo_rx_pctrl IS
GENERIC(
AXI_CHANNEL : STRING := "NONE";
C_APPLICATION_TYPE : INTEGER := 0;
C_DIN_WIDTH : INTEGER := 0;
C_DOUT_WIDTH : INTEGER := 0;
C_WR_PNTR_WIDTH : INTEGER := 0;
C_RD_PNTR_WIDTH : INTEGER := 0;
C_CH_TYPE : INTEGER := 0;
FREEZEON_ERROR : INTEGER := 0;
TB_STOP_CNT : INTEGER := 2;
TB_SEED : INTEGER := 2
);
PORT(
RESET_WR : IN STD_LOGIC;
RESET_RD : IN STD_LOGIC;
WR_CLK : IN STD_LOGIC;
RD_CLK : IN STD_LOGIC;
FULL : IN STD_LOGIC;
EMPTY : IN STD_LOGIC;
ALMOST_FULL : IN STD_LOGIC;
ALMOST_EMPTY : IN STD_LOGIC;
DATA_IN : IN STD_LOGIC_VECTOR(C_DIN_WIDTH-1 DOWNTO 0);
DATA_OUT : IN STD_LOGIC_VECTOR(C_DOUT_WIDTH-1 DOWNTO 0);
DOUT_CHK : IN STD_LOGIC;
PRC_WR_EN : OUT STD_LOGIC;
PRC_RD_EN : OUT STD_LOGIC;
RESET_EN : OUT STD_LOGIC;
SIM_DONE : OUT STD_LOGIC;
STATUS : OUT STD_LOGIC_VECTOR(7 DOWNTO 0)
);
END COMPONENT;
------------------------
COMPONENT fifo_rx_synth IS
GENERIC(
FREEZEON_ERROR : INTEGER := 0;
TB_STOP_CNT : INTEGER := 0;
TB_SEED : INTEGER := 1
);
PORT(
CLK : IN STD_LOGIC;
RESET : IN STD_LOGIC;
SIM_DONE : OUT STD_LOGIC;
STATUS : OUT STD_LOGIC_VECTOR(7 DOWNTO 0)
);
END COMPONENT;
------------------------
COMPONENT fifo_rx_exdes IS
PORT (
CLK : IN std_logic;
SRST : IN std_logic;
WR_EN : IN std_logic;
RD_EN : IN std_logic;
DIN : IN std_logic_vector(9-1 DOWNTO 0);
DOUT : OUT std_logic_vector(9-1 DOWNTO 0);
FULL : OUT std_logic;
EMPTY : OUT std_logic);
END COMPONENT;
------------------------
END fifo_rx_pkg;
PACKAGE BODY fifo_rx_pkg IS
FUNCTION divroundup (
data_value : INTEGER;
divisor : INTEGER)
RETURN INTEGER IS
VARIABLE div : INTEGER;
BEGIN
div := data_value/divisor;
IF ( (data_value MOD divisor) /= 0) THEN
div := div+1;
END IF;
RETURN div;
END divroundup;
---------------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : INTEGER;
false_case : INTEGER)
RETURN INTEGER IS
VARIABLE retval : INTEGER := 0;
BEGIN
IF condition=false THEN
retval:=false_case;
ELSE
retval:=true_case;
END IF;
RETURN retval;
END if_then_else;
---------------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : STD_LOGIC;
false_case : STD_LOGIC)
RETURN STD_LOGIC IS
VARIABLE retval : STD_LOGIC := '0';
BEGIN
IF condition=false THEN
retval:=false_case;
ELSE
retval:=true_case;
END IF;
RETURN retval;
END if_then_else;
---------------------------------
FUNCTION if_then_else (
condition : BOOLEAN;
true_case : TIME;
false_case : TIME)
RETURN TIME IS
VARIABLE retval : TIME := 0 ps;
BEGIN
IF condition=false THEN
retval:=false_case;
ELSE
retval:=true_case;
END IF;
RETURN retval;
END if_then_else;
-------------------------------
FUNCTION log2roundup (
data_value : INTEGER)
RETURN INTEGER IS
VARIABLE width : INTEGER := 0;
VARIABLE cnt : INTEGER := 1;
BEGIN
IF (data_value <= 1) THEN
width := 1;
ELSE
WHILE (cnt < data_value) LOOP
width := width + 1;
cnt := cnt *2;
END LOOP;
END IF;
RETURN width;
END log2roundup;
------------------------------------------------------------------------------
-- hexstr_to_std_logic_vec
-- This function converts a hex string to a std_logic_vector
------------------------------------------------------------------------------
FUNCTION hexstr_to_std_logic_vec(
arg1 : string;
size : integer )
RETURN std_logic_vector IS
VARIABLE result : std_logic_vector(size-1 DOWNTO 0) := (OTHERS => '0');
VARIABLE bin : std_logic_vector(3 DOWNTO 0);
VARIABLE index : integer := 0;
BEGIN
FOR i IN arg1'reverse_range LOOP
CASE arg1(i) IS
WHEN '0' => bin := (OTHERS => '0');
WHEN '1' => bin := (0 => '1', OTHERS => '0');
WHEN '2' => bin := (1 => '1', OTHERS => '0');
WHEN '3' => bin := (0 => '1', 1 => '1', OTHERS => '0');
WHEN '4' => bin := (2 => '1', OTHERS => '0');
WHEN '5' => bin := (0 => '1', 2 => '1', OTHERS => '0');
WHEN '6' => bin := (1 => '1', 2 => '1', OTHERS => '0');
WHEN '7' => bin := (3 => '0', OTHERS => '1');
WHEN '8' => bin := (3 => '1', OTHERS => '0');
WHEN '9' => bin := (0 => '1', 3 => '1', OTHERS => '0');
WHEN 'A' => bin := (0 => '0', 2 => '0', OTHERS => '1');
WHEN 'a' => bin := (0 => '0', 2 => '0', OTHERS => '1');
WHEN 'B' => bin := (2 => '0', OTHERS => '1');
WHEN 'b' => bin := (2 => '0', OTHERS => '1');
WHEN 'C' => bin := (0 => '0', 1 => '0', OTHERS => '1');
WHEN 'c' => bin := (0 => '0', 1 => '0', OTHERS => '1');
WHEN 'D' => bin := (1 => '0', OTHERS => '1');
WHEN 'd' => bin := (1 => '0', OTHERS => '1');
WHEN 'E' => bin := (0 => '0', OTHERS => '1');
WHEN 'e' => bin := (0 => '0', OTHERS => '1');
WHEN 'F' => bin := (OTHERS => '1');
WHEN 'f' => bin := (OTHERS => '1');
WHEN OTHERS =>
FOR j IN 0 TO 3 LOOP
bin(j) := 'X';
END LOOP;
END CASE;
FOR j IN 0 TO 3 LOOP
IF (index*4)+j < size THEN
result((index*4)+j) := bin(j);
END IF;
END LOOP;
index := index + 1;
END LOOP;
RETURN result;
END hexstr_to_std_logic_vec;
END fifo_rx_pkg;
|
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.NUMERIC_STD.ALL;
entity fpbaseconv_tb is
end fpbaseconv_tb;
architecture Behavioral of fpbaseconv_tb is
constant clk_period : time := 10 ns;
signal clk : std_logic := '0';
signal rst : std_logic;
constant precision : integer := 17;
constant exp_precision : integer := 8;
constant nscalestages : integer := 7;
signal scaling : signed(nscalestages-1 downto 0);
signal ratio : unsigned(precision-1 downto 0);
signal strobe : std_logic := '0';
begin
clk <= not clk after clk_period/2;
stim : process
begin
rst <= '1';
wait for clk_period * 10;
rst <= '0';
wait for clk_period;
scaling <= to_signed(-19, scaling'length);
-- ratio <= '1' & x"797D";
ratio <= '1' & x"7981";
wait for clk_period;
strobe <= '1';
wait for clk_period;
strobe <= '0';
wait;
end process;
dut : entity work.fpbaseconv
generic map (
precision => precision,
exp_precision => exp_precision,
nscalestages => nscalestages )
port map (
mantissa => open,
exponent => open,
busy => open,
scaling => scaling,
ratio => ratio,
strobe => strobe,
clk => clk,
rst => rst );
end Behavioral;
|
--------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 14:16:35 10/31/2006
-- Design Name: queue
-- Module Name: C:/queueProject/src/queue_tb.vhd
-- Project Name: myProj
-- Target Device:
-- Tool versions:
-- Description:
--
-- VHDL Test Bench Created by ISE for module: queue
--
-- Dependencies:
--
-- Revision:
-- Revision 0.01 - File Created
-- Additional Comments:
--
-- 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;
USE ieee.std_logic_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY queue_tb IS
END queue_tb;
ARCHITECTURE behavior OF queue_tb IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT queue
generic(
ADDRESS_BITS : integer := 2;
DATA_BITS : integer := 32
);
PORT(
clk : IN std_logic;
rst : IN std_logic;
add : IN std_logic;
remove : IN std_logic;
entryToAdd : IN std_logic_vector(0 to 31);
headValid : INOUT std_logic;
full : INOUT std_logic;
empty : INOUT std_logic;
head : OUT std_logic_vector(0 to 31)
);
END COMPONENT;
--Inputs
SIGNAL clk : std_logic := '0';
SIGNAL rst : std_logic := '0';
SIGNAL add : std_logic := '0';
SIGNAL remove : std_logic := '0';
SIGNAL entryToAdd : std_logic_vector(0 to 31) := (others=>'0');
--BiDirs
SIGNAL headValid : std_logic;
SIGNAL full : std_logic;
SIGNAL empty : std_logic;
--Outputs
SIGNAL head : std_logic_vector(0 to 31);
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: queue
GENERIC MAP(
ADDRESS_BITS => 2,
DATA_BITS => 32
)
PORT MAP(
clk => clk,
rst => rst,
add => add,
remove => remove,
entryToAdd => entryToAdd,
head => head,
headValid => headValid,
full => full,
empty => empty
);
tb : PROCESS
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
-- Place stimulus here
rst <= '1'; -- Reset the FIFO
wait for 20 ns;
rst <= '0';
wait for 20 ns;
entryToAdd <= x"1111_1111"; -- Add an entry
wait for 10 ns;
add <= '1';
wait for 20 ns;
add <= '0';
wait for 100 ns;
entryToAdd <= x"2222_2222"; -- Add an entry
wait for 10 ns;
add <= '1';
wait for 20 ns;
add <= '0';
wait for 100 ns;
entryToAdd <= x"3333_3333"; -- Add an entry
wait for 10 ns;
add <= '1';
wait for 20 ns;
add <= '0';
wait for 100 ns;
entryToAdd <= x"4444_4444"; -- Add an entry
wait for 10 ns;
add <= '1';
wait for 20 ns;
add <= '0';
wait for 100 ns;
remove <= '1'; -- Remove an entry
wait for 20 ns;
remove <= '0';
wait for 100 ns;
remove <= '1'; -- Remove an entry
wait for 20 ns;
remove <= '0';
wait for 100 ns;
remove <= '1'; -- Remove an entry
wait for 20 ns;
remove <= '0';
wait for 100 ns;
remove <= '1'; -- Remove an entry
wait for 20 ns;
remove <= '0';
wait for 100 ns;
remove <= '1'; -- Remove an entry
wait for 20 ns;
remove <= '0';
wait for 100 ns;
entryToAdd <= x"5555_5555"; -- Add an entry
wait for 10 ns;
add <= '1';
wait for 20 ns;
add <= '0';
wait for 100 ns;
remove <= '1'; -- Remove an entry
wait for 20 ns;
remove <= '0';
wait for 100 ns;
wait; -- will wait forever
END PROCESS;
clockProcess : PROCESS
BEGIN
clk <= '1'; -- clock cycle 10 ns
wait for 5 ns;
clk <= '0';
wait for 5 ns;
END PROCESS;
END;
|
-- -----------------------------------------------------------------------
--
-- Company: INVEA-TECH a.s.
--
-- Project: IPFIX design
--
-- -----------------------------------------------------------------------
--
-- (c) Copyright 2011 INVEA-TECH a.s.
-- All rights reserved.
--
-- Please review the terms of the license agreement before using this
-- file. If you are not an authorized user, please destroy this
-- source code file and notify INVEA-TECH a.s. immediately that you
-- inadvertently received an unauthorized copy.
--
-- -----------------------------------------------------------------------
--
-- fl_bfm_pkg.vhd: Support package for bfm_sim
-- Copyright (C) 2007 CESNET
-- Author(s): Vlastimil Kosar <xkosar02@stud.fit.vutbr.cz>
--
-- 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 the Company nor the names of its contributors
-- may be used to endorse or promote products derived from this
-- software without specific prior written permission.
--
-- This software is provided ``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 company 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.
--
-- $Id: fl_bfm_pkg.vhd 12021 2011-04-15 08:23:45Z kastovsky $
--
-- TODO:
--
--
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.std_logic_unsigned.all;
use IEEE.std_logic_arith.all;
use IEEE.std_logic_textio.all;
use IEEE.numeric_std.all;
use std.textio.all;
use work.fl_bfm_rdy_pkg.all;
-- ----------------------------------------------------------------------------
-- FrameLink Bus BFM Package
-- ----------------------------------------------------------------------------
PACKAGE fl_bfm_pkg IS
TYPE StartDriveType IS (SOP, SOF, NOP);
TYPE EndDriveType IS (EOP, EOF, NOP);
CONSTANT DataTypeLength : integer := 65535;
TYPE Item IS RECORD
Data : std_logic_vector(7 downto 0);
StartControl :StartDriveType;
EndControl :EndDriveType;
END RECORD;
TYPE DataType IS ARRAY (0 TO DataTypeLength) of Item;
-- Operation parameters
TYPE CmdTypeItem IS RECORD
RDYDriver : RDYSignalDriver;
Length : integer; -- Length
Data : DataType; -- Data
--Enable : boolean;
--FileName : FileNameType;
END RECORD;
TYPE CmdType IS ARRAY (0 to 15) of CmdTypeItem;
-- Command REQ/ACK record
TYPE flCmdTypeItem IS
RECORD
Req : std_logic;
ReqAck : std_logic;
Ack : std_logic;
END RECORD;
----------------------------------------------------------------------------
-- SIGNAL FOR SETTINGS BFM REQUESTS
----------------------------------------------------------------------------
signal flCmd_0 : flCmdTypeItem := ('0','Z','Z');
signal flCmd_1 : flCmdTypeItem := ('0','Z','Z');
signal flCmd_2 : flCmdTypeItem := ('0','Z','Z');
signal flCmd_3 : flCmdTypeItem := ('0','Z','Z');
signal flCmd_4 : flCmdTypeItem := ('0','Z','Z');
signal flCmd_5 : flCmdTypeItem := ('0','Z','Z');
signal flCmd_6 : flCmdTypeItem := ('0','Z','Z');
signal flCmd_7 : flCmdTypeItem := ('0','Z','Z');
signal flCmd_8 : flCmdTypeItem := ('0','Z','Z');
signal flCmd_9 : flCmdTypeItem := ('0','Z','Z');
signal flCmd_A : flCmdTypeItem := ('0','Z','Z');
signal flCmd_B : flCmdTypeItem := ('0','Z','Z');
signal flCmd_C : flCmdTypeItem := ('0','Z','Z');
signal flCmd_D : flCmdTypeItem := ('0','Z','Z');
signal flCmd_E : flCmdTypeItem := ('0','Z','Z');
signal flCmd_F : flCmdTypeItem := ('0','Z','Z');
----------------------------------------------------------------------------
-- BFM FUNCTIONS
----------------------------------------------------------------------------
----------------------------------------------------------------------------
-- Functions is called by IB BFM model to obtain command parameters
PROCEDURE ReadCommand (VARIABLE Cmd : OUT CmdTypeItem; CONSTANT FLBFMID : IN integer);
----------------------------------------------------------------------------
-- Functions is called by IB BFM model to return results
PROCEDURE WriteCommand (VARIABLE Cmd : IN CmdTypeItem; CONSTANT FLBFMID : IN integer);
-- convert character to upper case
function to_upper(c:character) return character;
-- convert hexa character to std_logic_vector
procedure convert_character(data:inout std_logic_vector; -- output 4-bit number
c:character); -- input hexa value in character
-- load 32bit number from input string
procedure load_32(data:inout std_logic_vector; -- 32bit number
s:string; -- input string
i:inout integer; -- current position in string
size:integer; -- size of string
count: inout integer); -- count of valid bytes in 32-bit number
-- read variable length string from input file
procedure read_string(file in_file: TEXT; --input file
out_string: out string; --output string
load_count: inout integer); --number of read characters
procedure SendPreparedData(
CONSTANT RDYDriver : IN RDYSignalDriver;
SIGNAL flCmd : INOUT flCmdTypeItem;
CONSTANT FLBFMID : IN integer;
CONSTANT Cmd : IN CmdType
);
PROCEDURE FLWriteFile (
CONSTANT FileName : IN string; -- Filename from where are data writen
CONSTANT RDYDriver: IN RDYSignalDriver;
SIGNAL flCmd : INOUT flCmdTypeItem;
CONSTANT FLBFMID : IN integer
);
END fl_bfm_pkg;
-- ----------------------------------------------------------------------------
-- FrameLink Bus BFM Package BODY
-- ----------------------------------------------------------------------------
PACKAGE BODY fl_bfm_pkg IS
-----------------------------------------------------------------------------
-- Command shared variable
SHARED VARIABLE Command : CmdType;
-----------------------------------------------------------------------------
-- Functions is called by IB BFM model to obtain command parameters
PROCEDURE ReadCommand (VARIABLE Cmd : OUT CmdTypeItem; CONSTANT FLBFMID : IN integer) IS
BEGIN
Cmd := Command(FLBFMID);
END;
-----------------------------------------------------------------------------
-- Functions is called by IB BFM model to return results
PROCEDURE WriteCommand (VARIABLE Cmd : IN CmdTypeItem; CONSTANT FLBFMID : IN integer) IS
BEGIN
Command(FLBFMID) := Cmd;
END;
-- read variable length string from input file
procedure read_string(file in_file: TEXT;out_string: out string;load_count: inout integer) is
variable l:line;
variable c:character;
variable not_eof: boolean;
begin
load_count:=0;
readline(in_file, l);
-- read characters from line up to length of string or end of line
for i in out_string'range loop
read(l, c, not_eof);
out_string(i) := c;
if not not_eof then -- end of line
exit;
end if;
load_count:=load_count+1;
end loop;
end read_string;
-- convert character to upper case
function to_upper(c:character) return character is
variable output:character;
begin
case c is
when 'a' => output := 'A';
when 'b' => output := 'B';
when 'c' => output := 'C';
when 'd' => output := 'D';
when 'e' => output := 'E';
when 'f' => output := 'F';
when others => output := c;
end case;
return output;
end;
-- convert hexa character to std_logic_vector
procedure convert_character(data:inout std_logic_vector;c:character) is
variable c_decoded:std_logic_vector(3 downto 0);
variable lbound:integer;
begin
case to_upper(c) is
when '0'=> c_decoded :="0000";
when '1'=> c_decoded :="0001";
when '2'=> c_decoded :="0010";
when '3'=> c_decoded :="0011";
when '4'=> c_decoded :="0100";
when '5'=> c_decoded :="0101";
when '6'=> c_decoded :="0110";
when '7'=> c_decoded :="0111";
when '8'=> c_decoded :="1000";
when '9'=> c_decoded :="1001";
when 'A'=> c_decoded :="1010";
when 'B'=> c_decoded :="1011";
when 'C'=> c_decoded :="1100";
when 'D'=> c_decoded :="1101";
when 'E'=> c_decoded :="1110";
when 'F'=> c_decoded :="1111";
when others => c_decoded :="ZZZZ";
end case;
lbound:=data'left - 4;
data:=data(lbound downto 0)&c_decoded;
end convert_character;
-- load 32bit number from input string
procedure load_32(data:inout std_logic_vector;s:string;i:inout integer;size:integer;count: inout integer) is
variable j:integer;
begin
data(31 downto 0) := (others => '0');
count := 0;
convert_character(data,s(i));
i:=i+1;
convert_character(data,s(i));
i:=i+1;
if (i<size) then
count:=count + 1;
convert_character(data,s(i));
i:=i+1;
convert_character(data,s(i));
i:=i+1;
end if;
if (i<size) then
count:=count + 1;
convert_character(data,s(i));
i:=i+1;
convert_character(data,s(i));
i:=i+1;
end if;
if (i<size) then
count:=count + 1;
convert_character(data,s(i));
i:=i+1;
convert_character(data,s(i));
i:=i+1;
end if;
end load_32;
-- Send data prepared in the Cmd parameter
procedure SendPreparedData(
CONSTANT RDYDriver : IN RDYSignalDriver;
SIGNAL flCmd : INOUT flCmdTypeItem;
CONSTANT FLBFMID : IN integer;
CONSTANT Cmd : IN CmdType
) IS
begin
Command(FLBFMID) := Cmd(FLBFMID);
flCmd.Req <= '1';
WAIT ON flCmd.ReqAck;
flCmd.Req <= '0';
WAIT ON flCmd.Ack;
end SendPreparedData;
PROCEDURE FLWriteFile (
CONSTANT FileName : IN string; -- Filename from where are data writen
CONSTANT RDYDriver: IN RDYSignalDriver;
SIGNAL flCmd : INOUT flCmdTypeItem;
CONSTANT FLBFMID : IN integer
) IS
file input_file : TEXT;
variable file_status : file_open_status;
variable s : string(1 to 2048);
variable size : integer;
variable index : integer;
variable count : integer;
variable i : integer;
variable data : std_logic_vector(31 downto 0);
BEGIN
for i in 0 to DataTypeLength loop
Command(FLBFMID).Data(i).StartControl := NOP;
Command(FLBFMID).Data(i).EndControl := NOP;
end loop;
Command(FLBFMID).Data(0).StartControl := SOF;
index := 0;
file_open(file_status, input_file, FileName, READ_MODE);
assert (file_status = OPEN_OK) report "File with data was not found!" severity ERROR;
while (not endfile(input_file)) loop
read_string(input_file, s, size);
i := 1;
if (s(i) = '#') then
assert (not(index - 1 <= 0)) report "# found on file start" severity ERROR;
Command(FLBFMID).Data(index - 1).EndControl := EOF;
Command(FLBFMID).Data(index).StartControl := SOF;
--i := i + 1;
elsif (s(i) = '$') then
assert (not(index - 1 <= 0)) report "$ found on file start" severity ERROR;
Command(FLBFMID).Data(index - 1).EndControl := EOP;
Command(FLBFMID).Data(index).StartControl := SOP;
--i := i + 1;
elsif (s(i) = '-') then
else
while (i<=size) loop
load_32(data, s, i, size, count);
for j in 0 to count loop
Command(FLBFMID).Data(index).Data := data((j + 1) * 8 - 1 downto j * 8);
index := index + 1;
end loop;
end loop;
end if;
end loop;
file_close(input_file);
Command(FLBFMID).Length := index - 1;
Command(FLBFMID).RDYDriver := RDYDriver;
-- Req toggles each time we want the BFM to do a new check.
flCmd.Req <= '1';
WAIT ON flCmd.ReqAck;
flCmd.Req <= '0';
WAIT UNTIL flCmd.Ack = '1';
END FLWriteFile;
END fl_bfm_pkg;
|
-------------------------------------------------------------------------------
--
-- MSX1 FPGA project
--
-- Copyright (c) 2016, Fabio Belavenuto (belavenuto@gmail.com)
--
-- All rights reserved
--
-- Redistribution and use in source and synthezised forms, with or without
-- modification, are permitted provided that the following conditions are met:
--
-- Redistributions of source code must retain the above copyright notice,
-- this list of conditions and the following disclaimer.
--
-- Redistributions in synthesized 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.
--
-- Neither the name of the author nor the names of other contributors may
-- be used to endorse or promote products derived from this software without
-- specific prior written permission.
--
-- 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 AUTHOR 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.
--
-- Please report bugs to the author, but before you do so, please
-- make sure that this is not a derivative work and that
-- you have the latest version of this file.
--
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
use ieee.numeric_std.all;
use work.msx_pack.all;
entity mixeru is
port (
clock_i : in std_logic;
reset_i : in std_logic;
volumes_i : in volumes_t;
beep_i : in std_logic;
ear_i : in std_logic;
audio_scc_i : in signed(14 downto 0);
audio_psg_i : in unsigned(7 downto 0);
jt51_left_i : in signed(15 downto 0);
jt51_right_i : in signed(15 downto 0);
opll_mo_i : in signed(12 downto 0) := (others => '0');
opll_ro_i : in signed(12 downto 0) := (others => '0');
audio_mix_l_o : out unsigned(15 downto 0);
audio_mix_r_o : out unsigned(15 downto 0)
);
end mixeru;
-- 32767 0111111111111111
--
-- 1 0000000000000001
-- 0 0000000000000000
-- -1 1111111111111111
--
-- -32768 1000000000000000
architecture Behavioral of mixeru is
constant beep_con_c : unsigned(15 downto 0) := to_unsigned(16383, 16);
constant ear_con_c : unsigned(15 downto 0) := to_unsigned(16383, 16);
signal pcm_l_s : unsigned(15 downto 0);
signal pcm_r_s : unsigned(15 downto 0);
signal beep_con_s : unsigned(15 downto 0);
signal ear_con_s : unsigned(15 downto 0);
signal opll_sum_s : signed(12 downto 0);
signal beep_uns_s : unsigned(16 + volumes_i.beep'length downto 0);
signal ear_uns_s : unsigned(16 + volumes_i.ear'length downto 0);
signal psg_uns_s : unsigned(16 + volumes_i.psg'length downto 0);
signal scc_uns_s : unsigned(16 + volumes_i.scc'length downto 0);
signal opll_uns_s : unsigned(16 + volumes_i.opll'length downto 0);
signal jt51_l_uns_s : unsigned(16 + volumes_i.aux1'length downto 0);
signal jt51_r_uns_s : unsigned(16 + volumes_i.aux1'length downto 0);
begin
beep_con_s <= beep_con_c when beep_i = '1' else (others => '0');
ear_con_s <= ear_con_c when ear_i = '1' else (others => '0');
opll_sum_s <= opll_mo_i + opll_ro_i;
beep_uns_s <= beep_con_s * ('0' & unsigned(volumes_i.beep));
ear_uns_s <= ear_con_s * ('0' & unsigned(volumes_i.ear));
psg_uns_s <= ("00" & audio_psg_i & "000000") * ('0' & unsigned(volumes_i.psg));
scc_uns_s <= ('0' & not audio_scc_i(14) & unsigned(audio_scc_i (13 downto 0))) * ('0' & unsigned(volumes_i.scc));
opll_uns_s <= ('0' & not opll_sum_s(12) & unsigned(opll_sum_s (11 downto 0)) & "00") * ('0' & unsigned(volumes_i.opll));
jt51_l_uns_s <= ('0' & not jt51_left_i(15) & unsigned(jt51_left_i (14 downto 1))) * ('0' & unsigned(volumes_i.aux1));
jt51_r_uns_s <= ('0' & not jt51_right_i(15) & unsigned(jt51_right_i(14 downto 1))) * ('0' & unsigned(volumes_i.aux1));
pcm_l_s <= beep_uns_s(beep_uns_s'high downto beep_uns_s'high-15) +
ear_uns_s(ear_uns_s'high downto ear_uns_s'high-15) +
psg_uns_s(psg_uns_s'high downto psg_uns_s'high-15) +
scc_uns_s(scc_uns_s'high downto scc_uns_s'high-15) +
opll_uns_s(opll_uns_s'high downto opll_uns_s'high-15) +
jt51_l_uns_s(jt51_l_uns_s'high downto jt51_l_uns_s'high-15);
--
pcm_r_s <= beep_uns_s(beep_uns_s'high downto beep_uns_s'high-15) +
ear_uns_s(ear_uns_s'high downto ear_uns_s'high-15) +
psg_uns_s(psg_uns_s'high downto psg_uns_s'high-15) +
scc_uns_s(scc_uns_s'high downto scc_uns_s'high-15) +
opll_uns_s(opll_uns_s'high downto opll_uns_s'high-15) +
jt51_r_uns_s(jt51_r_uns_s'high downto jt51_r_uns_s'high-15);
audio_mix_l_o <= pcm_l_s;
audio_mix_r_o <= pcm_r_s;
end Behavioral;
|
--
-- \file %%%FILENAME%%%
--
-- %%%SHORT_DESCRIPTION%%%
--
-- %%%LONG_DESCRIPTION%%%
--
-- \author %%%REALNAME%%% <%%%EMAIL%%%>
-- \date %%%DATE%%%
--
-----------------------------------------------------------------------------
-- %%%RECONOS_COPYRIGHT_BEGIN%%%
-- %%%RECONOS_COPYRIGHT_END%%%
-----------------------------------------------------------------------------
--
|
-- (c) Copyright 1995-2016 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:ip:floating_point:7.0
-- IP Revision: 7
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
LIBRARY floating_point_v7_0;
USE floating_point_v7_0.floating_point_v7_0;
ENTITY HLS_accel_ap_fptrunc_0_no_dsp_64 IS
PORT (
s_axis_a_tvalid : IN STD_LOGIC;
s_axis_a_tdata : IN STD_LOGIC_VECTOR(63 DOWNTO 0);
m_axis_result_tvalid : OUT STD_LOGIC;
m_axis_result_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0)
);
END HLS_accel_ap_fptrunc_0_no_dsp_64;
ARCHITECTURE HLS_accel_ap_fptrunc_0_no_dsp_64_arch OF HLS_accel_ap_fptrunc_0_no_dsp_64 IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : string;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF HLS_accel_ap_fptrunc_0_no_dsp_64_arch: ARCHITECTURE IS "yes";
COMPONENT floating_point_v7_0 IS
GENERIC (
C_XDEVICEFAMILY : STRING;
C_HAS_ADD : INTEGER;
C_HAS_SUBTRACT : INTEGER;
C_HAS_MULTIPLY : INTEGER;
C_HAS_DIVIDE : INTEGER;
C_HAS_SQRT : INTEGER;
C_HAS_COMPARE : INTEGER;
C_HAS_FIX_TO_FLT : INTEGER;
C_HAS_FLT_TO_FIX : INTEGER;
C_HAS_FLT_TO_FLT : INTEGER;
C_HAS_RECIP : INTEGER;
C_HAS_RECIP_SQRT : INTEGER;
C_HAS_ABSOLUTE : INTEGER;
C_HAS_LOGARITHM : INTEGER;
C_HAS_EXPONENTIAL : INTEGER;
C_HAS_FMA : INTEGER;
C_HAS_FMS : INTEGER;
C_HAS_ACCUMULATOR_A : INTEGER;
C_HAS_ACCUMULATOR_S : INTEGER;
C_A_WIDTH : INTEGER;
C_A_FRACTION_WIDTH : INTEGER;
C_B_WIDTH : INTEGER;
C_B_FRACTION_WIDTH : INTEGER;
C_C_WIDTH : INTEGER;
C_C_FRACTION_WIDTH : INTEGER;
C_RESULT_WIDTH : INTEGER;
C_RESULT_FRACTION_WIDTH : INTEGER;
C_COMPARE_OPERATION : INTEGER;
C_LATENCY : INTEGER;
C_OPTIMIZATION : INTEGER;
C_MULT_USAGE : INTEGER;
C_BRAM_USAGE : INTEGER;
C_RATE : INTEGER;
C_ACCUM_INPUT_MSB : INTEGER;
C_ACCUM_MSB : INTEGER;
C_ACCUM_LSB : INTEGER;
C_HAS_UNDERFLOW : INTEGER;
C_HAS_OVERFLOW : INTEGER;
C_HAS_INVALID_OP : INTEGER;
C_HAS_DIVIDE_BY_ZERO : INTEGER;
C_HAS_ACCUM_OVERFLOW : INTEGER;
C_HAS_ACCUM_INPUT_OVERFLOW : INTEGER;
C_HAS_ACLKEN : INTEGER;
C_HAS_ARESETN : INTEGER;
C_THROTTLE_SCHEME : INTEGER;
C_HAS_A_TUSER : INTEGER;
C_HAS_A_TLAST : INTEGER;
C_HAS_B : INTEGER;
C_HAS_B_TUSER : INTEGER;
C_HAS_B_TLAST : INTEGER;
C_HAS_C : INTEGER;
C_HAS_C_TUSER : INTEGER;
C_HAS_C_TLAST : INTEGER;
C_HAS_OPERATION : INTEGER;
C_HAS_OPERATION_TUSER : INTEGER;
C_HAS_OPERATION_TLAST : INTEGER;
C_HAS_RESULT_TUSER : INTEGER;
C_HAS_RESULT_TLAST : INTEGER;
C_TLAST_RESOLUTION : INTEGER;
C_A_TDATA_WIDTH : INTEGER;
C_A_TUSER_WIDTH : INTEGER;
C_B_TDATA_WIDTH : INTEGER;
C_B_TUSER_WIDTH : INTEGER;
C_C_TDATA_WIDTH : INTEGER;
C_C_TUSER_WIDTH : INTEGER;
C_OPERATION_TDATA_WIDTH : INTEGER;
C_OPERATION_TUSER_WIDTH : INTEGER;
C_RESULT_TDATA_WIDTH : INTEGER;
C_RESULT_TUSER_WIDTH : INTEGER
);
PORT (
aclk : IN STD_LOGIC;
aclken : IN STD_LOGIC;
aresetn : IN STD_LOGIC;
s_axis_a_tvalid : IN STD_LOGIC;
s_axis_a_tready : OUT STD_LOGIC;
s_axis_a_tdata : IN STD_LOGIC_VECTOR(63 DOWNTO 0);
s_axis_a_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_a_tlast : IN STD_LOGIC;
s_axis_b_tvalid : IN STD_LOGIC;
s_axis_b_tready : OUT STD_LOGIC;
s_axis_b_tdata : IN STD_LOGIC_VECTOR(63 DOWNTO 0);
s_axis_b_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_b_tlast : IN STD_LOGIC;
s_axis_c_tvalid : IN STD_LOGIC;
s_axis_c_tready : OUT STD_LOGIC;
s_axis_c_tdata : IN STD_LOGIC_VECTOR(63 DOWNTO 0);
s_axis_c_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_c_tlast : IN STD_LOGIC;
s_axis_operation_tvalid : IN STD_LOGIC;
s_axis_operation_tready : OUT STD_LOGIC;
s_axis_operation_tdata : IN STD_LOGIC_VECTOR(7 DOWNTO 0);
s_axis_operation_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_operation_tlast : IN STD_LOGIC;
m_axis_result_tvalid : OUT STD_LOGIC;
m_axis_result_tready : IN STD_LOGIC;
m_axis_result_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
m_axis_result_tuser : OUT STD_LOGIC_VECTOR(0 DOWNTO 0);
m_axis_result_tlast : OUT STD_LOGIC
);
END COMPONENT floating_point_v7_0;
ATTRIBUTE X_CORE_INFO : STRING;
ATTRIBUTE X_CORE_INFO OF HLS_accel_ap_fptrunc_0_no_dsp_64_arch: ARCHITECTURE IS "floating_point_v7_0,Vivado 2014.4";
ATTRIBUTE CHECK_LICENSE_TYPE : STRING;
ATTRIBUTE CHECK_LICENSE_TYPE OF HLS_accel_ap_fptrunc_0_no_dsp_64_arch : ARCHITECTURE IS "HLS_accel_ap_fptrunc_0_no_dsp_64,floating_point_v7_0,{}";
ATTRIBUTE CORE_GENERATION_INFO : STRING;
ATTRIBUTE CORE_GENERATION_INFO OF HLS_accel_ap_fptrunc_0_no_dsp_64_arch: ARCHITECTURE IS "HLS_accel_ap_fptrunc_0_no_dsp_64,floating_point_v7_0,{x_ipProduct=Vivado 2014.4,x_ipVendor=xilinx.com,x_ipLibrary=ip,x_ipName=floating_point,x_ipVersion=7.0,x_ipCoreRevision=7,x_ipLanguage=VHDL,x_ipSimLanguage=MIXED,C_XDEVICEFAMILY=virtex7,C_HAS_ADD=0,C_HAS_SUBTRACT=0,C_HAS_MULTIPLY=0,C_HAS_DIVIDE=0,C_HAS_SQRT=0,C_HAS_COMPARE=0,C_HAS_FIX_TO_FLT=0,C_HAS_FLT_TO_FIX=0,C_HAS_FLT_TO_FLT=1,C_HAS_RECIP=0,C_HAS_RECIP_SQRT=0,C_HAS_ABSOLUTE=0,C_HAS_LOGARITHM=0,C_HAS_EXPONENTIAL=0,C_HAS_FMA=0,C_HAS_FMS=0,C_HAS_ACCUMULATOR_A=0,C_HAS_ACCUMULATOR_S=0,C_A_WIDTH=64,C_A_FRACTION_WIDTH=53,C_B_WIDTH=64,C_B_FRACTION_WIDTH=53,C_C_WIDTH=64,C_C_FRACTION_WIDTH=53,C_RESULT_WIDTH=32,C_RESULT_FRACTION_WIDTH=24,C_COMPARE_OPERATION=8,C_LATENCY=0,C_OPTIMIZATION=1,C_MULT_USAGE=0,C_BRAM_USAGE=0,C_RATE=1,C_ACCUM_INPUT_MSB=32,C_ACCUM_MSB=32,C_ACCUM_LSB=-31,C_HAS_UNDERFLOW=0,C_HAS_OVERFLOW=0,C_HAS_INVALID_OP=0,C_HAS_DIVIDE_BY_ZERO=0,C_HAS_ACCUM_OVERFLOW=0,C_HAS_ACCUM_INPUT_OVERFLOW=0,C_HAS_ACLKEN=0,C_HAS_ARESETN=0,C_THROTTLE_SCHEME=3,C_HAS_A_TUSER=0,C_HAS_A_TLAST=0,C_HAS_B=0,C_HAS_B_TUSER=0,C_HAS_B_TLAST=0,C_HAS_C=0,C_HAS_C_TUSER=0,C_HAS_C_TLAST=0,C_HAS_OPERATION=0,C_HAS_OPERATION_TUSER=0,C_HAS_OPERATION_TLAST=0,C_HAS_RESULT_TUSER=0,C_HAS_RESULT_TLAST=0,C_TLAST_RESOLUTION=0,C_A_TDATA_WIDTH=64,C_A_TUSER_WIDTH=1,C_B_TDATA_WIDTH=64,C_B_TUSER_WIDTH=1,C_C_TDATA_WIDTH=64,C_C_TUSER_WIDTH=1,C_OPERATION_TDATA_WIDTH=8,C_OPERATION_TUSER_WIDTH=1,C_RESULT_TDATA_WIDTH=32,C_RESULT_TUSER_WIDTH=1}";
ATTRIBUTE X_INTERFACE_INFO : STRING;
ATTRIBUTE X_INTERFACE_INFO OF s_axis_a_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_A TVALID";
ATTRIBUTE X_INTERFACE_INFO OF s_axis_a_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_A TDATA";
ATTRIBUTE X_INTERFACE_INFO OF m_axis_result_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_RESULT TVALID";
ATTRIBUTE X_INTERFACE_INFO OF m_axis_result_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_RESULT TDATA";
BEGIN
U0 : floating_point_v7_0
GENERIC MAP (
C_XDEVICEFAMILY => "virtex7",
C_HAS_ADD => 0,
C_HAS_SUBTRACT => 0,
C_HAS_MULTIPLY => 0,
C_HAS_DIVIDE => 0,
C_HAS_SQRT => 0,
C_HAS_COMPARE => 0,
C_HAS_FIX_TO_FLT => 0,
C_HAS_FLT_TO_FIX => 0,
C_HAS_FLT_TO_FLT => 1,
C_HAS_RECIP => 0,
C_HAS_RECIP_SQRT => 0,
C_HAS_ABSOLUTE => 0,
C_HAS_LOGARITHM => 0,
C_HAS_EXPONENTIAL => 0,
C_HAS_FMA => 0,
C_HAS_FMS => 0,
C_HAS_ACCUMULATOR_A => 0,
C_HAS_ACCUMULATOR_S => 0,
C_A_WIDTH => 64,
C_A_FRACTION_WIDTH => 53,
C_B_WIDTH => 64,
C_B_FRACTION_WIDTH => 53,
C_C_WIDTH => 64,
C_C_FRACTION_WIDTH => 53,
C_RESULT_WIDTH => 32,
C_RESULT_FRACTION_WIDTH => 24,
C_COMPARE_OPERATION => 8,
C_LATENCY => 0,
C_OPTIMIZATION => 1,
C_MULT_USAGE => 0,
C_BRAM_USAGE => 0,
C_RATE => 1,
C_ACCUM_INPUT_MSB => 32,
C_ACCUM_MSB => 32,
C_ACCUM_LSB => -31,
C_HAS_UNDERFLOW => 0,
C_HAS_OVERFLOW => 0,
C_HAS_INVALID_OP => 0,
C_HAS_DIVIDE_BY_ZERO => 0,
C_HAS_ACCUM_OVERFLOW => 0,
C_HAS_ACCUM_INPUT_OVERFLOW => 0,
C_HAS_ACLKEN => 0,
C_HAS_ARESETN => 0,
C_THROTTLE_SCHEME => 3,
C_HAS_A_TUSER => 0,
C_HAS_A_TLAST => 0,
C_HAS_B => 0,
C_HAS_B_TUSER => 0,
C_HAS_B_TLAST => 0,
C_HAS_C => 0,
C_HAS_C_TUSER => 0,
C_HAS_C_TLAST => 0,
C_HAS_OPERATION => 0,
C_HAS_OPERATION_TUSER => 0,
C_HAS_OPERATION_TLAST => 0,
C_HAS_RESULT_TUSER => 0,
C_HAS_RESULT_TLAST => 0,
C_TLAST_RESOLUTION => 0,
C_A_TDATA_WIDTH => 64,
C_A_TUSER_WIDTH => 1,
C_B_TDATA_WIDTH => 64,
C_B_TUSER_WIDTH => 1,
C_C_TDATA_WIDTH => 64,
C_C_TUSER_WIDTH => 1,
C_OPERATION_TDATA_WIDTH => 8,
C_OPERATION_TUSER_WIDTH => 1,
C_RESULT_TDATA_WIDTH => 32,
C_RESULT_TUSER_WIDTH => 1
)
PORT MAP (
aclk => '0',
aclken => '1',
aresetn => '1',
s_axis_a_tvalid => s_axis_a_tvalid,
s_axis_a_tdata => s_axis_a_tdata,
s_axis_a_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_a_tlast => '0',
s_axis_b_tvalid => '0',
s_axis_b_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 64)),
s_axis_b_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_b_tlast => '0',
s_axis_c_tvalid => '0',
s_axis_c_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 64)),
s_axis_c_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_c_tlast => '0',
s_axis_operation_tvalid => '0',
s_axis_operation_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 8)),
s_axis_operation_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_operation_tlast => '0',
m_axis_result_tvalid => m_axis_result_tvalid,
m_axis_result_tready => '0',
m_axis_result_tdata => m_axis_result_tdata
);
END HLS_accel_ap_fptrunc_0_no_dsp_64_arch;
|
-- (c) Copyright 1995-2016 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:ip:floating_point:7.0
-- IP Revision: 7
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
LIBRARY floating_point_v7_0;
USE floating_point_v7_0.floating_point_v7_0;
ENTITY HLS_accel_ap_fptrunc_0_no_dsp_64 IS
PORT (
s_axis_a_tvalid : IN STD_LOGIC;
s_axis_a_tdata : IN STD_LOGIC_VECTOR(63 DOWNTO 0);
m_axis_result_tvalid : OUT STD_LOGIC;
m_axis_result_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0)
);
END HLS_accel_ap_fptrunc_0_no_dsp_64;
ARCHITECTURE HLS_accel_ap_fptrunc_0_no_dsp_64_arch OF HLS_accel_ap_fptrunc_0_no_dsp_64 IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : string;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF HLS_accel_ap_fptrunc_0_no_dsp_64_arch: ARCHITECTURE IS "yes";
COMPONENT floating_point_v7_0 IS
GENERIC (
C_XDEVICEFAMILY : STRING;
C_HAS_ADD : INTEGER;
C_HAS_SUBTRACT : INTEGER;
C_HAS_MULTIPLY : INTEGER;
C_HAS_DIVIDE : INTEGER;
C_HAS_SQRT : INTEGER;
C_HAS_COMPARE : INTEGER;
C_HAS_FIX_TO_FLT : INTEGER;
C_HAS_FLT_TO_FIX : INTEGER;
C_HAS_FLT_TO_FLT : INTEGER;
C_HAS_RECIP : INTEGER;
C_HAS_RECIP_SQRT : INTEGER;
C_HAS_ABSOLUTE : INTEGER;
C_HAS_LOGARITHM : INTEGER;
C_HAS_EXPONENTIAL : INTEGER;
C_HAS_FMA : INTEGER;
C_HAS_FMS : INTEGER;
C_HAS_ACCUMULATOR_A : INTEGER;
C_HAS_ACCUMULATOR_S : INTEGER;
C_A_WIDTH : INTEGER;
C_A_FRACTION_WIDTH : INTEGER;
C_B_WIDTH : INTEGER;
C_B_FRACTION_WIDTH : INTEGER;
C_C_WIDTH : INTEGER;
C_C_FRACTION_WIDTH : INTEGER;
C_RESULT_WIDTH : INTEGER;
C_RESULT_FRACTION_WIDTH : INTEGER;
C_COMPARE_OPERATION : INTEGER;
C_LATENCY : INTEGER;
C_OPTIMIZATION : INTEGER;
C_MULT_USAGE : INTEGER;
C_BRAM_USAGE : INTEGER;
C_RATE : INTEGER;
C_ACCUM_INPUT_MSB : INTEGER;
C_ACCUM_MSB : INTEGER;
C_ACCUM_LSB : INTEGER;
C_HAS_UNDERFLOW : INTEGER;
C_HAS_OVERFLOW : INTEGER;
C_HAS_INVALID_OP : INTEGER;
C_HAS_DIVIDE_BY_ZERO : INTEGER;
C_HAS_ACCUM_OVERFLOW : INTEGER;
C_HAS_ACCUM_INPUT_OVERFLOW : INTEGER;
C_HAS_ACLKEN : INTEGER;
C_HAS_ARESETN : INTEGER;
C_THROTTLE_SCHEME : INTEGER;
C_HAS_A_TUSER : INTEGER;
C_HAS_A_TLAST : INTEGER;
C_HAS_B : INTEGER;
C_HAS_B_TUSER : INTEGER;
C_HAS_B_TLAST : INTEGER;
C_HAS_C : INTEGER;
C_HAS_C_TUSER : INTEGER;
C_HAS_C_TLAST : INTEGER;
C_HAS_OPERATION : INTEGER;
C_HAS_OPERATION_TUSER : INTEGER;
C_HAS_OPERATION_TLAST : INTEGER;
C_HAS_RESULT_TUSER : INTEGER;
C_HAS_RESULT_TLAST : INTEGER;
C_TLAST_RESOLUTION : INTEGER;
C_A_TDATA_WIDTH : INTEGER;
C_A_TUSER_WIDTH : INTEGER;
C_B_TDATA_WIDTH : INTEGER;
C_B_TUSER_WIDTH : INTEGER;
C_C_TDATA_WIDTH : INTEGER;
C_C_TUSER_WIDTH : INTEGER;
C_OPERATION_TDATA_WIDTH : INTEGER;
C_OPERATION_TUSER_WIDTH : INTEGER;
C_RESULT_TDATA_WIDTH : INTEGER;
C_RESULT_TUSER_WIDTH : INTEGER
);
PORT (
aclk : IN STD_LOGIC;
aclken : IN STD_LOGIC;
aresetn : IN STD_LOGIC;
s_axis_a_tvalid : IN STD_LOGIC;
s_axis_a_tready : OUT STD_LOGIC;
s_axis_a_tdata : IN STD_LOGIC_VECTOR(63 DOWNTO 0);
s_axis_a_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_a_tlast : IN STD_LOGIC;
s_axis_b_tvalid : IN STD_LOGIC;
s_axis_b_tready : OUT STD_LOGIC;
s_axis_b_tdata : IN STD_LOGIC_VECTOR(63 DOWNTO 0);
s_axis_b_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_b_tlast : IN STD_LOGIC;
s_axis_c_tvalid : IN STD_LOGIC;
s_axis_c_tready : OUT STD_LOGIC;
s_axis_c_tdata : IN STD_LOGIC_VECTOR(63 DOWNTO 0);
s_axis_c_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_c_tlast : IN STD_LOGIC;
s_axis_operation_tvalid : IN STD_LOGIC;
s_axis_operation_tready : OUT STD_LOGIC;
s_axis_operation_tdata : IN STD_LOGIC_VECTOR(7 DOWNTO 0);
s_axis_operation_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_operation_tlast : IN STD_LOGIC;
m_axis_result_tvalid : OUT STD_LOGIC;
m_axis_result_tready : IN STD_LOGIC;
m_axis_result_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
m_axis_result_tuser : OUT STD_LOGIC_VECTOR(0 DOWNTO 0);
m_axis_result_tlast : OUT STD_LOGIC
);
END COMPONENT floating_point_v7_0;
ATTRIBUTE X_CORE_INFO : STRING;
ATTRIBUTE X_CORE_INFO OF HLS_accel_ap_fptrunc_0_no_dsp_64_arch: ARCHITECTURE IS "floating_point_v7_0,Vivado 2014.4";
ATTRIBUTE CHECK_LICENSE_TYPE : STRING;
ATTRIBUTE CHECK_LICENSE_TYPE OF HLS_accel_ap_fptrunc_0_no_dsp_64_arch : ARCHITECTURE IS "HLS_accel_ap_fptrunc_0_no_dsp_64,floating_point_v7_0,{}";
ATTRIBUTE CORE_GENERATION_INFO : STRING;
ATTRIBUTE CORE_GENERATION_INFO OF HLS_accel_ap_fptrunc_0_no_dsp_64_arch: ARCHITECTURE IS "HLS_accel_ap_fptrunc_0_no_dsp_64,floating_point_v7_0,{x_ipProduct=Vivado 2014.4,x_ipVendor=xilinx.com,x_ipLibrary=ip,x_ipName=floating_point,x_ipVersion=7.0,x_ipCoreRevision=7,x_ipLanguage=VHDL,x_ipSimLanguage=MIXED,C_XDEVICEFAMILY=virtex7,C_HAS_ADD=0,C_HAS_SUBTRACT=0,C_HAS_MULTIPLY=0,C_HAS_DIVIDE=0,C_HAS_SQRT=0,C_HAS_COMPARE=0,C_HAS_FIX_TO_FLT=0,C_HAS_FLT_TO_FIX=0,C_HAS_FLT_TO_FLT=1,C_HAS_RECIP=0,C_HAS_RECIP_SQRT=0,C_HAS_ABSOLUTE=0,C_HAS_LOGARITHM=0,C_HAS_EXPONENTIAL=0,C_HAS_FMA=0,C_HAS_FMS=0,C_HAS_ACCUMULATOR_A=0,C_HAS_ACCUMULATOR_S=0,C_A_WIDTH=64,C_A_FRACTION_WIDTH=53,C_B_WIDTH=64,C_B_FRACTION_WIDTH=53,C_C_WIDTH=64,C_C_FRACTION_WIDTH=53,C_RESULT_WIDTH=32,C_RESULT_FRACTION_WIDTH=24,C_COMPARE_OPERATION=8,C_LATENCY=0,C_OPTIMIZATION=1,C_MULT_USAGE=0,C_BRAM_USAGE=0,C_RATE=1,C_ACCUM_INPUT_MSB=32,C_ACCUM_MSB=32,C_ACCUM_LSB=-31,C_HAS_UNDERFLOW=0,C_HAS_OVERFLOW=0,C_HAS_INVALID_OP=0,C_HAS_DIVIDE_BY_ZERO=0,C_HAS_ACCUM_OVERFLOW=0,C_HAS_ACCUM_INPUT_OVERFLOW=0,C_HAS_ACLKEN=0,C_HAS_ARESETN=0,C_THROTTLE_SCHEME=3,C_HAS_A_TUSER=0,C_HAS_A_TLAST=0,C_HAS_B=0,C_HAS_B_TUSER=0,C_HAS_B_TLAST=0,C_HAS_C=0,C_HAS_C_TUSER=0,C_HAS_C_TLAST=0,C_HAS_OPERATION=0,C_HAS_OPERATION_TUSER=0,C_HAS_OPERATION_TLAST=0,C_HAS_RESULT_TUSER=0,C_HAS_RESULT_TLAST=0,C_TLAST_RESOLUTION=0,C_A_TDATA_WIDTH=64,C_A_TUSER_WIDTH=1,C_B_TDATA_WIDTH=64,C_B_TUSER_WIDTH=1,C_C_TDATA_WIDTH=64,C_C_TUSER_WIDTH=1,C_OPERATION_TDATA_WIDTH=8,C_OPERATION_TUSER_WIDTH=1,C_RESULT_TDATA_WIDTH=32,C_RESULT_TUSER_WIDTH=1}";
ATTRIBUTE X_INTERFACE_INFO : STRING;
ATTRIBUTE X_INTERFACE_INFO OF s_axis_a_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_A TVALID";
ATTRIBUTE X_INTERFACE_INFO OF s_axis_a_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_A TDATA";
ATTRIBUTE X_INTERFACE_INFO OF m_axis_result_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_RESULT TVALID";
ATTRIBUTE X_INTERFACE_INFO OF m_axis_result_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_RESULT TDATA";
BEGIN
U0 : floating_point_v7_0
GENERIC MAP (
C_XDEVICEFAMILY => "virtex7",
C_HAS_ADD => 0,
C_HAS_SUBTRACT => 0,
C_HAS_MULTIPLY => 0,
C_HAS_DIVIDE => 0,
C_HAS_SQRT => 0,
C_HAS_COMPARE => 0,
C_HAS_FIX_TO_FLT => 0,
C_HAS_FLT_TO_FIX => 0,
C_HAS_FLT_TO_FLT => 1,
C_HAS_RECIP => 0,
C_HAS_RECIP_SQRT => 0,
C_HAS_ABSOLUTE => 0,
C_HAS_LOGARITHM => 0,
C_HAS_EXPONENTIAL => 0,
C_HAS_FMA => 0,
C_HAS_FMS => 0,
C_HAS_ACCUMULATOR_A => 0,
C_HAS_ACCUMULATOR_S => 0,
C_A_WIDTH => 64,
C_A_FRACTION_WIDTH => 53,
C_B_WIDTH => 64,
C_B_FRACTION_WIDTH => 53,
C_C_WIDTH => 64,
C_C_FRACTION_WIDTH => 53,
C_RESULT_WIDTH => 32,
C_RESULT_FRACTION_WIDTH => 24,
C_COMPARE_OPERATION => 8,
C_LATENCY => 0,
C_OPTIMIZATION => 1,
C_MULT_USAGE => 0,
C_BRAM_USAGE => 0,
C_RATE => 1,
C_ACCUM_INPUT_MSB => 32,
C_ACCUM_MSB => 32,
C_ACCUM_LSB => -31,
C_HAS_UNDERFLOW => 0,
C_HAS_OVERFLOW => 0,
C_HAS_INVALID_OP => 0,
C_HAS_DIVIDE_BY_ZERO => 0,
C_HAS_ACCUM_OVERFLOW => 0,
C_HAS_ACCUM_INPUT_OVERFLOW => 0,
C_HAS_ACLKEN => 0,
C_HAS_ARESETN => 0,
C_THROTTLE_SCHEME => 3,
C_HAS_A_TUSER => 0,
C_HAS_A_TLAST => 0,
C_HAS_B => 0,
C_HAS_B_TUSER => 0,
C_HAS_B_TLAST => 0,
C_HAS_C => 0,
C_HAS_C_TUSER => 0,
C_HAS_C_TLAST => 0,
C_HAS_OPERATION => 0,
C_HAS_OPERATION_TUSER => 0,
C_HAS_OPERATION_TLAST => 0,
C_HAS_RESULT_TUSER => 0,
C_HAS_RESULT_TLAST => 0,
C_TLAST_RESOLUTION => 0,
C_A_TDATA_WIDTH => 64,
C_A_TUSER_WIDTH => 1,
C_B_TDATA_WIDTH => 64,
C_B_TUSER_WIDTH => 1,
C_C_TDATA_WIDTH => 64,
C_C_TUSER_WIDTH => 1,
C_OPERATION_TDATA_WIDTH => 8,
C_OPERATION_TUSER_WIDTH => 1,
C_RESULT_TDATA_WIDTH => 32,
C_RESULT_TUSER_WIDTH => 1
)
PORT MAP (
aclk => '0',
aclken => '1',
aresetn => '1',
s_axis_a_tvalid => s_axis_a_tvalid,
s_axis_a_tdata => s_axis_a_tdata,
s_axis_a_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_a_tlast => '0',
s_axis_b_tvalid => '0',
s_axis_b_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 64)),
s_axis_b_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_b_tlast => '0',
s_axis_c_tvalid => '0',
s_axis_c_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 64)),
s_axis_c_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_c_tlast => '0',
s_axis_operation_tvalid => '0',
s_axis_operation_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 8)),
s_axis_operation_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_operation_tlast => '0',
m_axis_result_tvalid => m_axis_result_tvalid,
m_axis_result_tready => '0',
m_axis_result_tdata => m_axis_result_tdata
);
END HLS_accel_ap_fptrunc_0_no_dsp_64_arch;
|
-- 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_20_fg_20_19.vhd,v 1.1.1.1 2001-08-22 18:20:48 paw Exp $
-- $Revision: 1.1.1.1 $
--
-- ---------------------------------------------------------------------
package display_interface is
-- . . .
-- not in book
type status_type is (t1, t2, t3);
-- end not in book
procedure create_window ( size_x, size_y : natural;
status : out status_type );
attribute foreign of create_window : procedure is
"language Ada; with window_operations;" &
"bind to window_operations.create_window;" &
"parameter size_x maps to size_x : in natural;" &
"parameter size_y maps to size_y : in natural;" &
"parameter status maps to status : out window_operations.status_type;" &
"others map to default";
-- . . .
end package display_interface;
|
-- 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_20_fg_20_19.vhd,v 1.1.1.1 2001-08-22 18:20:48 paw Exp $
-- $Revision: 1.1.1.1 $
--
-- ---------------------------------------------------------------------
package display_interface is
-- . . .
-- not in book
type status_type is (t1, t2, t3);
-- end not in book
procedure create_window ( size_x, size_y : natural;
status : out status_type );
attribute foreign of create_window : procedure is
"language Ada; with window_operations;" &
"bind to window_operations.create_window;" &
"parameter size_x maps to size_x : in natural;" &
"parameter size_y maps to size_y : in natural;" &
"parameter status maps to status : out window_operations.status_type;" &
"others map to default";
-- . . .
end package display_interface;
|
-- 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_20_fg_20_19.vhd,v 1.1.1.1 2001-08-22 18:20:48 paw Exp $
-- $Revision: 1.1.1.1 $
--
-- ---------------------------------------------------------------------
package display_interface is
-- . . .
-- not in book
type status_type is (t1, t2, t3);
-- end not in book
procedure create_window ( size_x, size_y : natural;
status : out status_type );
attribute foreign of create_window : procedure is
"language Ada; with window_operations;" &
"bind to window_operations.create_window;" &
"parameter size_x maps to size_x : in natural;" &
"parameter size_y maps to size_y : in natural;" &
"parameter status maps to status : out window_operations.status_type;" &
"others map to default";
-- . . .
end package display_interface;
|
entity bar is
port(a, b: out bit);
end entity bar;
architecture gub of bar is
begin
a <= '0', '1' after 1 ns, '0' after 2 ns, '1' after 3 ns;
process(all)
begin
b <= not a;
end process;
end architecture gub;
|
entity bar is
port(a, b: out bit);
end entity bar;
architecture gub of bar is
begin
a <= '0', '1' after 1 ns, '0' after 2 ns, '1' after 3 ns;
process(all)
begin
b <= not a;
end process;
end architecture gub;
|
----------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 15:48:50 07/16/2015
-- Design Name:
-- Module Name: serial - 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 serial is
port(
serialdata,clk,csn,wrn,rdn:in std_logic;
addr:in std_logic_vector(1 downto 0);
data:inout std_logic_vector(7 downto 0);
intn:out std_logic
);
end serial;
architecture Behavioral of serial is
component count4 is
port(
clk : in std_logic;
clrn : in std_logic;
q : out std_logic_vector(3 downto 0)
);
end component ;
component ctrl is
port(
d9, d11 : in std_logic;
sq7, sq6 : in std_logic;
rq : in std_logic_vector(7 downto 0);
clrn : inout std_logic;
start : out std_logic;
serial, clk : in std_logic;
csn, wrn, rdn : in std_logic;
addr : in std_logic_vector(1 downto 0);
data : inout std_logic_vector(7 downto 0);
intn : out std_logic
);
end component;
component decode4 is
port(
d : in std_logic_vector(3 downto 0);
enable : in std_logic;
q8, q9, q11 : out std_logic
);
end component;
component reg8 is
port(
clrn, clk : in std_logic;
d : in std_logic_vector(7 downto 0);
q : out std_logic_vector(7 downto 0)
);
end component;
component sreg is
port(
clk, clrn, serial : in std_logic;
q : out std_logic_vector(7 downto 0)
);
end component;
signal c:std_logic_vector(3 downto 0);
signal start,t8,t9,t11,clrn:std_logic;
signal tdata,treg:std_logic_vector(7 downto 0);
begin
unit1: count4 port map(clk => clk, clrn => start, q => c);
unit2: decode4 port map(d => c, enable => start, q8 => t8, q9 => t9, q11 => t11);
unit3: sreg port map(clk => clk, clrn => start, serial => serialdata, q => treg);
unit4: reg8 port map(clrn => clrn, clk => t8, d => treg, q => tdata);
unit5: ctrl port map(d9 => t9, d11 => t11, sq6 => treg(6), sq7 => treg(7), rq => tdata, clrn => clrn, start => start, serial => serialdata, clk => clk, csn => csn, wrn => wrn, rdn => rdn, addr => addr, data => data, intn => intn);
end Behavioral;
|
architecture rtl of fifo is
variable v_element : record_type_3(
element1(7 downto 0),
element2(4 downto 0)(7 downto 0)
(
elementA(7 downto 0),
elementB(3 downto 0)
),
element3(3 downto 0)(
elementC(4 downto 1),
elementD(1 downto 0)),
element5(
elementE(3 downto 0)(6 downto 0),
elementF(7 downto 0)
),
element6(4 downto 0),
element7(7 downto 0)
);
begin
end architecture rtl;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
entity insnqueue is
port (
rst: in std_logic;
clkw: in std_logic;
din: in std_logic_vector(15 downto 0);
en: in std_logic;
clr: in std_logic;
full: out std_logic;
clkr: in std_logic;
pop: in std_logic;
dualpop: in std_logic;
dout0: out std_logic_vector(15 downto 0);
dout1: out std_logic_vector(15 downto 0);
empty: out std_logic;
dvalid: out std_logic
);
end entity;
architecture behave of insnqueue is
constant QUEUESIZE: integer := 8;
signal rdptr, wrptr, rdptrplus: integer range 0 to QUEUESIZE-1;
subtype insntype is std_logic_vector(15 downto 0);
type queuetype is array(0 to QUEUESIZE-1) of insntype;
signal qq: queuetype;
signal dvalid_int: std_logic;
begin
-- process(clkr)
-- begin
-- if rising_edge(clkr) then
process(rdptr,rdptrplus,qq)
begin
dout0 <= qq(rdptr);
dout1 <= qq(rdptrplus);
end process;
-- end if;
-- end process;
empty <= '1' when rdptr=wrptr else '0';
process(rdptr,wrptr)
begin
full <= '0';
if wrptr=QUEUESIZE-1 then
if rdptr=0 then
full <= '1';
end if;
else
if rdptr-wrptr=1 then
full<='1';
end if;
end if;
dvalid_int <= '0';
-- Now, how many items ?
if rdptr>wrptr then
dvalid_int <= '1';
elsif rdptr<wrptr then
if wrptr-rdptr>1 then
dvalid_int<='1';
end if;
end if;
end process;
process(rdptr)
begin
if rdptr=QUEUESIZE-1 then
rdptrplus <= 0;
else
rdptrplus <= rdptr+1;
end if;
end process;
process(clkw)
begin
if rising_edge(clkw) then
if rst='1' then
wrptr <= 0;
else
if clr='1' then
wrptr<=rdptr;
else
if en='1' then
qq(wrptr)<=din;
if wrptr=QUEUESIZE-1 then
wrptr<=0;
else
wrptr<=wrptr+1;
end if;
end if;
end if;
end if;
end if;
end process;
process(clkr)
begin
if rising_edge(clkr) then
if rst='1' then
rdptr<=0;
dvalid<='0';
else
if pop='1' then
if dualpop='0' then
if rdptr=QUEUESIZE-1 then
rdptr<=0;
else
rdptr<=rdptr+1;
end if;
else
if rdptr=QUEUESIZE-1 then
rdptr<=1;
elsif rdptr=QUEUESIZE-2 then
rdptr<=0;
else
rdptr<=rdptr+2;
end if;
end if;
end if;
dvalid <= dvalid_int;
end if;
end if;
end process;
end behave;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2014, Aeroflex 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: ahb2mig
-- File: ahb2mig.vhd
-- Author: Jiri Gaisler, Gaisler Research
-- Description: AHB wrapper for Xilinx Virtex5 DDR2/3 MIG
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library grlib;
use grlib.amba.all;
package avnet_eval is
constant APPDATA_WIDTH : integer := 32; -- # of usr read/write data bus bits.
constant ADDR_WIDTH : integer := 36; -- # of memory row and # of addr bits.
constant MIGHMASK : integer := 16#FE0#; -- AHB mask for 256 Mbyte memory
-- constant MIGHMASK : integer := 16#E00#; -- AHB mask for 512 Mbyte memory
-- constant MIGHMASK : integer := 16#C00#; -- AHB mask for 1024 Mbyte memory
type mig_app_in_type is record
app_wdf_wren : std_logic;
app_wdf_data : std_logic_vector(APPDATA_WIDTH-1 downto 0);
app_wdf_mask : std_logic_vector(APPDATA_WIDTH/8-1 downto 0);
app_addr : std_logic_vector(ADDR_WIDTH-1 downto 0);
app_en : std_logic;
mig_rst : std_logic;
end record;
type mig_app_out_type is record
app_af_afull : std_logic;
app_wdf_afull : std_logic;
app_rd_data : std_logic_vector(APPDATA_WIDTH-1 downto 0);
app_rd_data_valid : std_logic;
end record;
end package;
library ieee;
use ieee.std_logic_1164.all;
library grlib;
use grlib.amba.all;
use grlib.stdlib.all;
library gaisler;
use grlib.devices.all;
use gaisler.memctrl.all;
library techmap;
use techmap.gencomp.all;
use work.avnet_eval.all;
entity ahb2mig_avnet_eval is
generic (
memtech : integer := 0;
hindex : integer := 0;
haddr : integer := 0;
hmask : integer := 16#e00#;
MHz : integer := 100;
Mbyte : integer := 512;
nosync : integer := 0
);
port (
rst_ddr : in std_ulogic;
rst_ahb : in std_ulogic;
rst_50 : in std_ulogic;
clk_ddr : in std_ulogic;
clk_ahb : in std_ulogic;
clk_50 : in std_ulogic;
init_done : in std_ulogic;
ahbsi : in ahb_slv_in_type;
ahbso : out ahb_slv_out_type;
migi : out mig_app_in_type;
migo : in mig_app_out_type
);
end;
architecture rtl of ahb2mig_avnet_eval is
constant REVISION : integer := 0;
constant hconfig : ahb_config_type := (
0 => ahb_device_reg ( VENDOR_GAISLER, GAISLER_MIGDDR2, 0, REVISION, 0),
4 => ahb_membar(haddr, '1', '1', hmask),
others => zero32);
type ahb_state_type is (midle, rhold, dread, dwrite, whold1, whold2);
type ddr_state_type is (midle, rhold1, rhold2, rhold3, rhold4, rhold5, rhold6, rhold7, dread,
whold1, whold2, whold3, whold4, whold5, whold6, whold7);
constant abuf : integer := 6;
type access_param is record
haddr : std_logic_vector(31 downto 0);
size : std_logic_vector(2 downto 0);
hwrite : std_ulogic;
end record;
-- local registers
type mem is array(0 to 7) of std_logic_vector(31 downto 0);
type wrm is array(0 to 7) of std_logic_vector(3 downto 0);
type ahb_reg_type is record
hready : std_ulogic;
hsel : std_ulogic;
startsd : std_ulogic;
state : ahb_state_type;
haddr : std_logic_vector(31 downto 0);
hrdata : std_logic_vector(127 downto 0);
hwrite : std_ulogic;
htrans : std_logic_vector(1 downto 0);
hresp : std_logic_vector(1 downto 0);
raddr : std_logic_vector(abuf-1 downto 0);
size : std_logic_vector(2 downto 0);
acc : access_param;
sync : std_ulogic;
hwdata : mem;
write : wrm;
end record;
type ddr_reg_type is record
startsd : std_ulogic;
hrdata : std_logic_vector(255 downto 0);
sync : std_ulogic;
dstate : ddr_state_type;
addr : std_logic_vector(2 downto 0);
end record;
signal vcc, clk_ahb1, clk_ahb2 : std_ulogic;
signal r, ri : ddr_reg_type;
signal ra, rai : ahb_reg_type;
signal rbdrive, ribdrive : std_logic_vector(31 downto 0);
signal hwdata, hwdatab : std_logic_vector(127 downto 0);
signal rdel : std_logic_vector(25 downto 0);
begin
vcc <= '1';
ahb_ctrl : process(rst_ahb, ahbsi, r, ra, migo, hwdata)
variable va : ahb_reg_type; -- local variables for registers
variable startsd : std_ulogic;
variable ready : std_logic;
variable tmp : std_logic_vector(3 downto 0);
variable waddr : integer;
variable rdata : std_logic_vector(127 downto 0);
begin
va := ra; va.hresp := HRESP_OKAY;
tmp := (others => '0');
case ra.raddr(2 downto 2) is
when "0" => rdata := r.hrdata(127 downto 0);
when others => rdata := r.hrdata(255 downto 128);
end case;
if AHBDW > 64 and ra.size = HSIZE_4WORD then
va.hrdata := rdata(127 downto 0);
elsif AHBDW > 32 and ra.size = HSIZE_DWORD then
if ra.raddr(1) = '1' then va.hrdata(63 downto 0) := rdata(127 downto 64);
else va.hrdata(63 downto 0) := rdata(63 downto 0); end if;
va.hrdata(127 downto 64) := va.hrdata(63 downto 0);
else
case ra.raddr(1 downto 0) is
when "00" => va.hrdata(31 downto 0) := rdata(31 downto 0);
when "01" => va.hrdata(31 downto 0) := rdata(63 downto 32);
when "10" => va.hrdata(31 downto 0) := rdata(95 downto 64);
when others => va.hrdata(31 downto 0) := rdata(127 downto 96);
end case;
va.hrdata(127 downto 32) := va.hrdata(31 downto 0) &
va.hrdata(31 downto 0) &
va.hrdata(31 downto 0);
end if;
if nosync = 0 then
va.sync := r.startsd;
if ra.startsd = ra.sync then ready := '1';
else ready := '0'; end if;
else
if ra.startsd = r.startsd then ready := '1';
else ready := '0'; end if;
end if;
if ((ahbsi.hready and ahbsi.hsel(hindex)) = '1') then
va.htrans := ahbsi.htrans; va.haddr := ahbsi.haddr;
va.size := ahbsi.hsize(2 downto 0); va.hwrite := ahbsi.hwrite;
if ahbsi.htrans(1) = '1' then
va.hsel := '1'; va.hready := '0';
end if;
end if;
if ahbsi.hready = '1' then va.hsel := ahbsi.hsel(hindex); end if;
case ra.state is
when midle =>
va.write := (others => "0000");
if ((va.hsel and va.htrans(1)) = '1') then
if va.hwrite = '0' then
va.state := rhold; va.startsd := not ra.startsd;
else
va.state := dwrite; va.hready := '1';
end if;
end if;
va.raddr := ra.haddr(7 downto 2);
if ((ahbsi.hready and ahbsi.hsel(hindex)) = '1') then
va.acc := (va.haddr, va.size, va.hwrite);
end if;
when rhold =>
va.raddr := ra.haddr(7 downto 2);
if ready = '1' then
va.state := dread; va.hready := '1';
if AHBDW > 64 and ra.size(2) = '1' then va.raddr := ra.raddr + 4;
elsif AHBDW > 32 and andv(ra.size(1 downto 0)) = '1' then va.raddr := ra.raddr + 2;
else va.raddr := ra.raddr + 1; end if;
end if;
when dread =>
va.hready := '1';
if AHBDW > 64 and ra.size(2) = '1' then va.raddr := ra.raddr + 4;
elsif AHBDW > 32 and andv(ra.size(1 downto 0)) = '1' then va.raddr := ra.raddr + 2;
else va.raddr := ra.raddr + 1; end if;
if ((va.hsel and va.htrans(1) and va.htrans(0)) = '0')
or (ra.raddr(2 downto 0) = "000") then
va.state := midle; va.hready := '0';
end if;
va.acc := (va.haddr, va.size, va.hwrite);
when dwrite =>
va.raddr := ra.haddr(7 downto 2); va.hready := '1';
if (((va.hsel and va.htrans(1) and va.htrans(0)) = '0')
or (ra.haddr(4 downto 2) = "111")
or (AHBDW > 32 and ra.haddr(5 downto 2) = "1110" and andv(ra.size(1 downto 0)) = '1')
or (AHBDW > 64 and ra.haddr(5 downto 2) = "1100" and ra.size(2) = '1')) then
va.startsd := not ra.startsd; va.state := whold1;
va.hready := '0';
end if;
tmp := decode(ra.haddr(1 downto 0));
waddr := conv_integer(ra.haddr(4 downto 2));
va.hwdata(waddr) := hwdata(31 downto 0);
case ra.size is
when "000" => va.write(waddr) := tmp(0) & tmp(1) & tmp(2) & tmp(3);
when "001" => va.write(waddr) := tmp(0) & tmp(0) & tmp(2) & tmp(2);
when "010" => va.write(waddr) := "1111";
when "011" => va.write(waddr) := "1111"; va.write(waddr+1) := "1111";
va.hwdata(waddr+1) := hwdata((63 mod AHBDW) downto (32 mod AHBDW));
when others => va.write(waddr) := "1111"; va.write(waddr+1) := "1111";
va.write(waddr+2) := "1111"; va.write(waddr+3) := "1111";
va.hwdata(waddr+1) := hwdata((63 mod AHBDW) downto (32 mod AHBDW));
va.hwdata(waddr+2) := hwdata((95 mod AHBDW) downto (64 mod AHBDW));
va.hwdata(waddr+3) := hwdata((127 mod AHBDW) downto (96 mod AHBDW));
end case;
when whold1 =>
va.state := whold2;
when whold2 =>
if ready = '1' then
va.state := midle; va.acc := (va.haddr, va.size, va.hwrite);
end if;
end case;
if (ahbsi.hready and ahbsi.hsel(hindex) ) = '1' then
if ahbsi.htrans(1) = '0' then va.hready := '1'; end if;
end if;
if rst_ahb = '0' then
va.hsel := '0';
va.hready := '1';
va.state := midle;
va.startsd := '0';
va.acc.hwrite := '0';
va.acc.haddr := (others => '0');
end if;
rai <= va;
end process;
ahbso.hready <= ra.hready;
ahbso.hresp <= ra.hresp;
ahbso.hrdata <= ahbdrivedata(ra.hrdata);
-- delayed reset for the MIG, will not work otherwise ...
rstp : process(clk_50)
begin
if rising_edge(clk_50) then
if rdel(25) = '0' then rdel <= rdel + 1; end if;
if rst_50 = '0' then
rdel <= (others => '0');
-- pragma translate_off
rdel <= (25 => '0', 2 => '0', others => '1');
-- pragma translate_on
end if;
end if;
end process;
ddr_ctrl : process(rst_ddr, r, ra, migo, init_done, rdel)
variable v : ddr_reg_type; -- local variables for registers
variable startsd : std_ulogic;
variable raddr : std_logic_vector(13 downto 0);
variable adec : std_ulogic;
variable haddr : std_logic_vector(31 downto 0);
variable hsize : std_logic_vector(1 downto 0);
variable hwrite : std_ulogic;
variable htrans : std_logic_vector(1 downto 0);
variable hready : std_ulogic;
variable app_en : std_ulogic;
variable app_cmd : std_logic_vector(2 downto 0);
variable app_wdf_mask : std_logic_vector(APPDATA_WIDTH/8-1 downto 0);
variable app_wdf_wren : std_ulogic;
variable app_wdf_data : std_logic_vector(APPDATA_WIDTH-1 downto 0);
variable app_addr : std_logic_vector(ADDR_WIDTH-1 downto 0);
begin
-- Variable default settings to avoid latches
v := r; app_en := '0'; app_cmd := "100"; app_wdf_wren := '0';
app_wdf_mask := (others => '0');
app_wdf_mask := ra.write(0);
app_wdf_data := (others => '0');
app_wdf_data(31 downto 0) := ra.hwdata(0);
if ra.acc.hwrite = '0' then app_cmd(0) := '1'; else app_cmd(0) := '0'; end if;
app_addr := '0' & app_cmd & "00000" & ra.acc.haddr(27 downto 5) & r.addr(0) & "000";
v.sync := ra.startsd;
if nosync = 0 then
if r.startsd /= r.sync then startsd := '1';
else startsd := '0'; end if;
else
if ra.startsd /= r.startsd then startsd := '1';
else startsd := '0'; end if;
end if;
case r.dstate is
when midle =>
v.addr := "00" & ra.acc.haddr(4); app_addr(3) := ra.acc.haddr(4);
if (startsd = '1') and (migo.app_af_afull = '0') and (init_done = '1') then
if ra.acc.hwrite = '0' then
if ra.acc.haddr(4) = '0' then
v.dstate := dread; v.addr := r.addr + 1;
else v.dstate := rhold4; end if;
app_en := '1';
elsif migo.app_wdf_afull = '0' then
if ra.acc.haddr(4) = '0' then
v.dstate := whold1; v.addr := r.addr + 1;
else
v.dstate := whold5;
app_wdf_mask(3 downto 0) := ra.write(4);
app_wdf_data(31 downto 0) := ra.hwdata(4);
end if;
app_en := '1'; app_wdf_wren := '1';
end if;
end if;
when dread =>
if r.addr(0) = '1' then
v.addr := r.addr + 1; app_en := '1';
end if;
if migo.app_rd_data_valid = '1' then
v.hrdata(31 downto 0) := migo.app_rd_data(31 downto 0);
v.dstate := rhold1;
end if;
when rhold1 =>
if migo.app_rd_data_valid = '1' then
v.hrdata(63 downto 32) := migo.app_rd_data(31 downto 0);
v.dstate := rhold2;
end if;
when rhold2 =>
if migo.app_rd_data_valid = '1' then
v.hrdata(95 downto 64) := migo.app_rd_data(31 downto 0);
v.dstate := rhold3;
end if;
when rhold3 =>
if migo.app_rd_data_valid = '1' then
v.hrdata(127 downto 96) := migo.app_rd_data(31 downto 0);
v.dstate := rhold4;
end if;
when rhold4 =>
if migo.app_rd_data_valid = '1' then
v.hrdata(159 downto 128) := migo.app_rd_data(31 downto 0);
v.dstate := rhold5;
end if;
when rhold5 =>
if migo.app_rd_data_valid = '1' then
v.hrdata(191 downto 160) := migo.app_rd_data(31 downto 0);
v.dstate := rhold6;
end if;
when rhold6 =>
if migo.app_rd_data_valid = '1' then
v.hrdata(223 downto 192) := migo.app_rd_data(31 downto 0);
v.dstate := rhold7;
end if;
when rhold7 =>
if migo.app_rd_data_valid = '1' then
v.hrdata(255 downto 224) := migo.app_rd_data(31 downto 0);
v.dstate := midle;
v.startsd := not r.startsd;
end if;
when whold1 =>
app_wdf_wren := '1';
app_wdf_mask(3 downto 0) := ra.write(1);
app_wdf_data(31 downto 0) := ra.hwdata(1);
v.dstate := whold2;
when whold2 =>
app_wdf_wren := '1';
app_wdf_mask(3 downto 0) := ra.write(2);
app_wdf_data(31 downto 0) := ra.hwdata(2);
v.dstate := whold3;
when whold3 =>
app_wdf_wren := '1';
app_wdf_mask(3 downto 0) := ra.write(3);
app_wdf_data(31 downto 0) := ra.hwdata(3);
if (ra.write(4) = "0000") and (ra.write(5) = "0000") and (ra.write(6) = "0000") and
(ra.write(7) = "0000")
then v.startsd := not r.startsd; v.dstate := midle;
elsif migo.app_wdf_afull = '0' then v.dstate := whold4; app_en := '1'; end if;
when whold4 =>
app_wdf_wren := '1';
app_wdf_mask(3 downto 0) := ra.write(4);
app_wdf_data(31 downto 0) := ra.hwdata(4);
v.dstate := whold5;
when whold5 =>
app_wdf_wren := '1';
app_wdf_mask(3 downto 0) := ra.write(5);
app_wdf_data(31 downto 0) := ra.hwdata(5);
v.dstate := whold6;
when whold6 =>
app_wdf_wren := '1';
app_wdf_mask(3 downto 0) := ra.write(6);
app_wdf_data(31 downto 0) := ra.hwdata(6);
v.dstate := whold7;
when whold7 =>
app_wdf_wren := '1';
app_wdf_mask(3 downto 0) := ra.write(7);
app_wdf_data(31 downto 0) := ra.hwdata(7);
v.startsd := not r.startsd;
v.dstate := midle;
when others =>
end case;
-- reset
if rst_ddr = '0' then
v.startsd := '0';
app_en := '0';
v.dstate := midle;
v.addr := "000";
end if;
ri <= v;
migi.app_addr <= app_addr;
migi.app_en <= app_en;
migi.app_wdf_wren <= app_wdf_wren;
migi.app_wdf_mask <= not app_wdf_mask;
migi.app_wdf_data <= app_wdf_data;
migi.mig_rst <= rdel(25);
end process;
ahbso.hconfig <= hconfig;
ahbso.hirq <= (others => '0');
ahbso.hindex <= hindex;
ahbso.hsplit <= (others => '0');
clk_ahb1 <= clk_ahb; clk_ahb2 <= clk_ahb1; -- sync clock deltas
ahbregs : process(clk_ahb2) begin
if rising_edge(clk_ahb2) then
ra <= rai;
end if;
end process;
ddrregs : process(clk_ddr) begin
if rising_edge(clk_ddr) then
r <= ri;
end if;
end process;
-- Write data selection.
AHB32: if AHBDW = 32 generate
hwdata <= ahbsi.hwdata(31 downto 0) & ahbsi.hwdata(31 downto 0) &
ahbsi.hwdata(31 downto 0) & ahbsi.hwdata(31 downto 0);
end generate AHB32;
AHB64: if AHBDW = 64 generate
-- With CORE_ACDM set to 0 hwdata will always be ahbsi.hwdata(63 downto 0)
-- otherwise the valid data slice will be selected, and possibly uplicated,
-- from ahbsi.hwdata.
hwdatab(63 downto 0) <= ahbreaddword(ahbsi.hwdata, ra.haddr(4 downto 2)) when (CORE_ACDM = 0 or ra.size(1 downto 0) = "11") else
(ahbreadword(ahbsi.hwdata, ra.haddr(4 downto 2)) &
ahbreadword(ahbsi.hwdata, ra.haddr(4 downto 2)));
hwdata <= hwdatab(31 downto 0) & hwdatab(63 downto 32) &
hwdatab(31 downto 0) & hwdatab(63 downto 32);
end generate AHB64;
AHBWIDE: if AHBDW > 64 generate
-- With CORE_ACDM set to 0 hwdata will always be ahbsi.hwdata(127 downto 0)
-- otherwise the valid data slice will be selected, and possibly uplicated,
-- from ahbsi.hwdata.
hwdatab <= ahbread4word(ahbsi.hwdata, ra.haddr(4 downto 2)) when (CORE_ACDM = 0 or ra.size(2) = '1') else
(ahbreaddword(ahbsi.hwdata, ra.haddr(4 downto 2)) &
ahbreaddword(ahbsi.hwdata, ra.haddr(4 downto 2))) when (ra.size = "011") else
(ahbreadword(ahbsi.hwdata, ra.haddr(4 downto 2)) &
ahbreadword(ahbsi.hwdata, ra.haddr(4 downto 2)) &
ahbreadword(ahbsi.hwdata, ra.haddr(4 downto 2)) &
ahbreadword(ahbsi.hwdata, ra.haddr(4 downto 2)));
hwdata <= hwdatab(31 downto 0) & hwdatab(63 downto 32) &
hwdatab(95 downto 64) & hwdatab(127 downto 96);
end generate AHBWIDE;
-- pragma translate_off
bootmsg : report_version
generic map (
msg1 => "ahb2mig" & tost(hindex) & ": 32-bit DDR controller rev " &
tost(REVISION) & ", " & tost(Mbyte) & " Mbyte, " & tost(MHz) &
" MHz DDR clock");
-- pragma translate_on
end;
|
--------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 10:23:53 10/16/2007
-- Design Name: message_manager
-- Module Name: /users/jagron/message_manager/src//mm_tb.vhd
-- Project Name: my_ise_proj
-- Target Device:
-- Tool versions:
-- Description:
--
-- VHDL Test Bench Created by ISE for module: message_manager
--
-- Dependencies:
--
-- Revision:
-- Revision 0.01 - File Created
-- Additional Comments:
--
-- 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;
USE ieee.std_logic_unsigned.all;
USE ieee.numeric_std.ALL;
ENTITY mm_tb_vhd IS
END mm_tb_vhd;
ARCHITECTURE behavior OF mm_tb_vhd IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT message_manager
PORT(
clk : IN std_logic;
reset : IN std_logic;
i_request : IN std_logic;
i_user_opcode : IN std_logic_vector(0 to 7);
i_user_data : IN std_logic_vector(0 to 31);
i_user_channel : IN std_logic_vector(0 to 7);
i_user_sender : IN std_logic_vector(0 to 7);
i_packet_data : IN std_logic_vector(0 to 31);
i_packet_channel : IN std_logic_vector(0 to 7);
i_packet_sender : IN std_logic_vector(0 to 7);
i_packet_valid : IN std_logic;
i_token : IN std_logic;
o_user_data : OUT std_logic_vector(0 to 31);
o_user_channel : OUT std_logic_vector(0 to 7);
o_user_sender : OUT std_logic_vector(0 to 7);
o_busy : OUT std_logic;
o_send_ready : out std_logic;
o_recv_ready : out std_logic;
o_token : OUT std_logic;
o_packet_data : OUT std_logic_vector(0 to 31);
o_packet_channel : OUT std_logic_vector(0 to 7);
o_packet_sender : OUT std_logic_vector(0 to 7);
o_packet_valid : OUT std_logic
);
END COMPONENT;
--Inputs
SIGNAL clk : std_logic := '0';
SIGNAL reset : std_logic := '0';
SIGNAL i_request : std_logic := '0';
SIGNAL i_packet_valid : std_logic := '0';
SIGNAL i_token : std_logic := '0';
SIGNAL i_user_opcode : std_logic_vector(0 to 7) := (others=>'0');
SIGNAL i_user_data : std_logic_vector(0 to 31) := (others=>'0');
SIGNAL i_user_channel : std_logic_vector(0 to 7) := (others=>'0');
SIGNAL i_user_sender : std_logic_vector(0 to 7) := (others=>'0');
SIGNAL i_packet_data : std_logic_vector(0 to 31) := (others=>'0');
SIGNAL i_packet_channel : std_logic_vector(0 to 7) := (others=>'0');
SIGNAL i_packet_sender : std_logic_vector(0 to 7) := (others=>'0');
--Outputs
SIGNAL o_user_data : std_logic_vector(0 to 31);
SIGNAL o_user_channel : std_logic_vector(0 to 7);
SIGNAL o_user_sender : std_logic_vector(0 to 7);
SIGNAL o_busy : std_logic;
signal o_send_ready : std_logic;
signal o_recv_ready : std_logic;
SIGNAL o_token : std_logic;
SIGNAL o_packet_data : std_logic_vector(0 to 31);
SIGNAL o_packet_channel : std_logic_vector(0 to 7);
SIGNAL o_packet_sender : std_logic_vector(0 to 7);
SIGNAL o_packet_valid : std_logic;
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: message_manager PORT MAP(
clk => clk,
reset => reset,
i_request => i_request,
i_user_opcode => i_user_opcode,
i_user_data => i_user_data,
i_user_channel => i_user_channel,
i_user_sender => i_user_sender,
o_user_data => o_user_data,
o_user_channel => o_user_channel,
o_user_sender => o_user_sender,
o_busy => o_busy,
o_send_ready => o_send_ready,
o_recv_ready => o_recv_ready,
i_packet_data => i_packet_data,
i_packet_channel => i_packet_channel,
i_packet_sender => i_packet_sender,
i_packet_valid => i_packet_valid,
i_token => i_token,
o_token => o_token,
o_packet_data => o_packet_data,
o_packet_channel => o_packet_channel,
o_packet_sender => o_packet_sender,
o_packet_valid => o_packet_valid
);
tb : PROCESS
procedure send_packet(channel: in std_logic_vector(0 to 7); sender : in std_logic_vector(0 to 7); data : in std_logic_vector(0 to 31)) is
begin
-- Send a packet
wait until clk = '0' and o_send_ready = '1';
i_user_sender <= sender;
i_user_channel <= channel;
i_user_data <= data;
i_user_opcode <= x"04";
i_request <= '1';
wait until o_busy = '1' and clk = '1';
i_request <= '0';
wait until clk = '0';
i_user_sender <= (others => '0');
i_user_channel <= (others => '0');
i_user_data <= (others => '0');
i_user_opcode <= (others => '0');
wait until clk = '1';
end procedure send_packet;
procedure recv_packet is
begin
-- Receive a packet
wait until clk = '0' and o_recv_ready = '1';
i_user_sender <= (others => '0');
i_user_channel <= (others => '0');
i_user_data <= (others => '0');
i_user_opcode <= x"05";
i_request <= '1';
wait until o_busy = '1' and clk = '1';
i_request <= '0';
wait until clk = '0';
i_user_sender <= (others => '0');
i_user_channel <= (others => '0');
i_user_data <= (others => '0');
i_user_opcode <= (others => '0');
wait until clk = '1';
end procedure recv_packet;
procedure register_sender(sender: in std_logic_vector(0 to 7)) is
begin
-- Register sender
wait until clk = '0' and o_busy = '0';
i_user_sender <= sender;
i_user_opcode <= x"06";
i_request <= '1';
wait until o_busy = '1' and clk = '1';
i_request <= '0';
wait until clk = '0';
i_user_sender <= (others => '0');
i_user_opcode <= (others => '0');
wait until clk = '1';
end procedure register_sender;
procedure register_channel(channel: in std_logic_vector(0 to 7)) is
begin
-- Register channel
wait until clk = '0' and o_busy = '0';
i_user_channel <= channel;
i_user_opcode <= x"03";
i_request <= '1';
wait until o_busy = '1' and clk = '1';
i_request <= '0';
wait until clk = '0';
i_user_channel <= (others => '0');
i_user_opcode <= (others => '0');
wait until clk = '1';
end procedure register_channel;
BEGIN
-- Wait 100 ns for global reset to finish
wait for 100 ns;
-- Reset the MM
reset <= '1';
wait for 100 ns;
reset <= '0';
wait for 100 ns;
wait for 100 ns;
-- Register a channel
register_sender(x"AD");
wait for 50 ns;
register_channel(x"0A");
wait for 50 ns;
-- Send Packets
send_packet(x"11",x"BB",x"DEADBEEF");
wait for 50 ns;
send_packet(x"22",x"EE",x"CAFEBABE");
wait for 50 ns;
send_packet(x"33",x"11",x"22222222");
-- Receive token
i_token <= '1';
wait for 20 ns;
i_token <= '0';
-- Send Packets
wait for 20 ns;
send_packet(x"44",x"44",x"22222222");
-- Send Packets (This one should arrive after the send queue has emptied, and we have released the token, so it shouldn't be sent)
wait for 400 ns;
send_packet(x"55",x"BB",x"33333333");
-- Receive Packets from outside world
i_packet_data <= x"AAAAAAAA"; -- Wrong channel, shouldn't receive, but should forward
i_packet_sender <= x"01";
i_packet_channel <= x"0B";
i_packet_valid <= '1';
wait for 20 ns;
i_packet_valid <= '0';
wait for 100 ns;
i_packet_data <= x"91919191"; -- Right channel, should receive, and should forward
i_packet_sender <= x"01";
i_packet_channel <= x"0A";
i_packet_valid <= '1';
wait for 100 ns;
i_packet_valid <= '0';
wait for 100 ns;
i_packet_data <= x"23232323"; -- Right channel, should receive, and should forward
i_packet_sender <= x"01";
i_packet_channel <= x"0A";
i_packet_valid <= '1';
wait for 100 ns;
i_packet_valid <= '0';
wait for 100 ns;
i_packet_data <= x"85858585"; -- Sent by me, shouldn't receive or forward
i_packet_sender <= x"AD";
i_packet_channel <= x"0A";
i_packet_valid <= '1';
wait for 20 ns;
i_packet_valid <= '0';
wait for 20 ns;
-- Receive token again
i_token <= '1';
wait for 20 ns;
i_token <= '0';
wait for 100 ns;
-- Now the last remaining packet should be sent out
-- Ask the system for a packet (the one that was received earlier)
recv_packet;
recv_packet;
wait; -- will wait forever
END PROCESS;
clk_proc : process (clk)
begin
clk <= (not clk) after 10 ns;
end process clk_proc;
END;
|
library verilog;
use verilog.vl_types.all;
entity lf_st is
generic(
DATA_WIDTH : integer := 15;
COEF_WIDTH : integer := 12;
ACCUM_WIDTH : integer := 31
);
port(
clk : in vl_logic;
rst : in vl_logic;
data_in : in vl_logic_vector;
clk_en : in vl_logic;
rdy_to_ld : out vl_logic;
done : out vl_logic;
fir_result : out vl_logic_vector
);
end lf_st;
|
library verilog;
use verilog.vl_types.all;
entity lf_st is
generic(
DATA_WIDTH : integer := 15;
COEF_WIDTH : integer := 12;
ACCUM_WIDTH : integer := 31
);
port(
clk : in vl_logic;
rst : in vl_logic;
data_in : in vl_logic_vector;
clk_en : in vl_logic;
rdy_to_ld : out vl_logic;
done : out vl_logic;
fir_result : out vl_logic_vector
);
end lf_st;
|
----------------------------------------------------------------------------------------------------
--
-- FileName: Address_Decoder.vhd
-- Description: Address Decoder Logic.
--
----------------------------------------------------------------------------------------------------
LIBRARY ieee;
USE ieee.std_logic_1164.all;
USE ieee.numeric_std.all;
LIBRARY work;
ENTITY Address_Decoder IS
PORT
(
nReset : IN STD_LOGIC; -- Reset
nAS : IN STD_LOGIC; -- Address Strobe
nHigh_Address : IN STD_LOGIC; -- Upper Address Range
Function_In : IN STD_LOGIC_VECTOR (2 DOWNTO 0); -- System Function
Address_In : IN STD_LOGIC_VECTOR (23 DOWNTO 0); -- Address Bus
nCS_FPU : OUT STD_LOGIC; -- FPU Chip Select
nCS_ATA : OUT STD_LOGIC; -- ATA Buffer Chip Select
nCS_ATA0 : OUT STD_LOGIC; -- ATA Chip Select 0
nCS_ATA1 : OUT STD_LOGIC; -- ATA Chip Select 1
nCS_RTC : OUT STD_LOGIC; -- RTC Chip Select
AS_RTC : OUT STD_LOGIC; -- RTC AS Select
DS_RTC : OUT STD_LOGIC; -- RTC DS Select
nCS_PS2 : OUT STD_LOGIC; -- PS2 Chip Select
nCS_ID1 : OUT STD_LOGIC; -- Hardware ID 1
nCS_ID2 : OUT STD_LOGIC; -- Hardware ID 2
nPS_OFF : OUT STD_LOGIC; -- Power Off
nCS_DUART : OUT STD_LOGIC; -- DUART Chip Select
nCS_NET : OUT STD_LOGIC; -- Network Chip Select
nCS_SRAM : OUT STD_LOGIC; -- SRAM Chip Select
nCS_ROM : OUT STD_LOGIC -- ROM Chip Select
);
END Address_Decoder;
ARCHITECTURE Behavioral OF Address_Decoder IS
SIGNAL nPhantom : STD_LOGIC;
SIGNAL Counter : UNSIGNED(2 DOWNTO 0);
BEGIN
PROCESS(nReset, nAS)
BEGIN
IF (nReset = '0') THEN
nPhantom <= '0';
Counter <= "000";
ELSIF RISING_EDGE(nAS) THEN
IF Counter < 7 THEN
nPhantom <= '0';
Counter <= Counter + 1;
ELSE
nPhantom <= '1';
END IF;
END IF;
END PROCESS;
PROCESS(nReset, nAS, nPhantom)
BEGIN
IF (nReset = '0' OR nAS = '1') THEN
nCS_FPU <= '1';
nCS_ATA <= '1';
nCS_ATA0 <= '1';
nCS_ATA1 <= '1';
nCS_RTC <= '1';
AS_RTC <= '0';
DS_RTC <= '0';
nCS_PS2 <= '1';
nCS_ID1<= '1';
nCS_ID2 <= '1';
nPS_OFF <= '1';
nCS_DUART <= '1';
nCS_NET <= '1';
nCS_SRAM <= '1';
nCS_ROM <= '1';
ELSIF FALLING_EDGE(nAS) THEN
IF (Function_In = "111" AND Address_In = X"022000") THEN
nCS_FPU <= '0';
ELSIF ( (Function_In(1 DOWNTO 0) = "01" OR Function_In(1 DOWNTO 0) = "10" ) AND nHigh_Address = '1' AND nPhantom = '0' AND Address_In < X"000008") THEN
nCS_ROM <= '0';
ELSIF ( (Function_In(1 DOWNTO 0) = "01" OR Function_In(1 DOWNTO 0) = "10" ) AND nHigh_Address = '0') THEN
IF Address_In >= X"FC0000" AND Address_In <= X"FC001F" AND Address_In(0) = '0' THEN
nCS_ATA <= '0';
nCS_ATA1 <= '0';
IF Address_In(4) = '0' THEN
nCS_ATA0 <= '0';
END IF;
ELSIF Address_In >= X"FC0020" AND Address_In <= X"FC002F" AND Address_In(0) = '0' THEN
nCS_ATA <= '0';
IF Address_In(4) = '0' THEN
nCS_ATA0 <= '0';
END IF;
ELSIF Address_In = X"FC0030" THEN
nCS_RTC <= '0';
AS_RTC <= '1';
ELSIF Address_In = X"FC0031" THEN
nCS_RTC <= '0';
DS_RTC <= '1';
ELSIF Address_In = X"FC0032" THEN
nCS_PS2 <= '0';
ELSIF Address_In = X"FC0033" THEN
nCS_PS2 <= '0';
ELSIF Address_In = X"FC0034" THEN
nCS_ID1 <= '0';
ELSIF Address_In = X"FC0035" THEN
nCS_ID2 <= '0';
ELSIF Address_In = X"FC0038" THEN
nPS_OFF <= '0';
ELSIF Address_In >= X"FC0040" AND Address_In <= X"FC004F" THEN
nCS_DUART <= '0';
ELSIF Address_In >= X"FC0060" AND Address_In <= X"FC007F" THEN
nCS_NET <= '0';
ELSIF Address_In >= X"FD0000" AND Address_In <= X"FD7FFF" THEN
nCS_SRAM <= '0';
ELSIF Address_In >= X"FE0000" THEN
nCS_ROM <= '0';
END IF;
ELSE
nCS_FPU <= '1';
nCS_ATA <= '1';
nCS_ATA0 <= '1';
nCS_ATA1 <= '1';
nCS_RTC <= '1';
AS_RTC <= '0';
DS_RTC <= '0';
nCS_PS2 <= '1';
nCS_ID1<= '1';
nCS_ID2 <= '1';
nPS_OFF <= '1';
nCS_DUART <= '1';
nCS_NET <= '1';
nCS_SRAM <= '1';
nCS_ROM <= '1';
END IF;
END IF;
END PROCESS;
END Behavioral; |
ROM_form.vhd
Ken Chapman (Xilinx Ltd) July 2003
This is the VHDL template file for the KCPSM3 assembler.
It is used to configure a Spartan-3, Virtex-II or Virtex-IIPRO block RAM to act as
a single port program ROM.
This VHDL file is not valid as input directly into a synthesis or simulation tool.
The assembler will read this template and insert the data required to complete the
definition of program ROM and write it out to a new '.vhd' file associated with the
name of the original '.psm' file being assembled.
This template can be modified to define alternative memory definitions such as dual port.
However, you are responsible for ensuring the template is correct as the assembler does
not perform any checking of the VHDL.
The assembler identifies all text enclosed by {} characters, and replaces these
character strings. All templates should include these {} character strings for
the assembler to work correctly.
****************************************************************************************
This template defines a block RAM configured in 1024 x 18-bit single port mode and
conneceted to act as a single port ROM.
****************************************************************************************
The next line is used to determine where the template actually starts and must exist.
{begin template}
--
-- Definition of a single port ROM for KCPSM3 program defined by {name}.psm
--
-- Generated by SimuBlaze Assembler {timestamp}.
--
-- Standard IEEE libraries
--
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
--
-- The Unisim Library is used to define Xilinx primitives. It is also used during
-- simulation. The source can be viewed at %XILINX%\vhdl\src\unisims\unisim_VCOMP.vhd
--
library unisim;
use unisim.vcomponents.all;
--
--
entity {name} is
Port ( address : in std_logic_vector(9 downto 0);
instruction : out std_logic_vector(17 downto 0);
clk : in std_logic);
end {name};
--
architecture low_level_definition of {name} is
--
-- Attributes to define ROM contents during implementation synthesis.
-- The information is repeated in the generic map for functional simulation
--
attribute INIT_00 : string;
attribute INIT_01 : string;
attribute INIT_02 : string;
attribute INIT_03 : string;
attribute INIT_04 : string;
attribute INIT_05 : string;
attribute INIT_06 : string;
attribute INIT_07 : string;
attribute INIT_08 : string;
attribute INIT_09 : string;
attribute INIT_0A : string;
attribute INIT_0B : string;
attribute INIT_0C : string;
attribute INIT_0D : string;
attribute INIT_0E : string;
attribute INIT_0F : string;
attribute INIT_10 : string;
attribute INIT_11 : string;
attribute INIT_12 : string;
attribute INIT_13 : string;
attribute INIT_14 : string;
attribute INIT_15 : string;
attribute INIT_16 : string;
attribute INIT_17 : string;
attribute INIT_18 : string;
attribute INIT_19 : string;
attribute INIT_1A : string;
attribute INIT_1B : string;
attribute INIT_1C : string;
attribute INIT_1D : string;
attribute INIT_1E : string;
attribute INIT_1F : string;
attribute INIT_20 : string;
attribute INIT_21 : string;
attribute INIT_22 : string;
attribute INIT_23 : string;
attribute INIT_24 : string;
attribute INIT_25 : string;
attribute INIT_26 : string;
attribute INIT_27 : string;
attribute INIT_28 : string;
attribute INIT_29 : string;
attribute INIT_2A : string;
attribute INIT_2B : string;
attribute INIT_2C : string;
attribute INIT_2D : string;
attribute INIT_2E : string;
attribute INIT_2F : string;
attribute INIT_30 : string;
attribute INIT_31 : string;
attribute INIT_32 : string;
attribute INIT_33 : string;
attribute INIT_34 : string;
attribute INIT_35 : string;
attribute INIT_36 : string;
attribute INIT_37 : string;
attribute INIT_38 : string;
attribute INIT_39 : string;
attribute INIT_3A : string;
attribute INIT_3B : string;
attribute INIT_3C : string;
attribute INIT_3D : string;
attribute INIT_3E : string;
attribute INIT_3F : string;
attribute INITP_00 : string;
attribute INITP_01 : string;
attribute INITP_02 : string;
attribute INITP_03 : string;
attribute INITP_04 : string;
attribute INITP_05 : string;
attribute INITP_06 : string;
attribute INITP_07 : string;
--
-- Attributes to define ROM contents during implementation synthesis.
--
attribute INIT_00 of ram_1024_x_18 : label is "{INIT_00}";
attribute INIT_01 of ram_1024_x_18 : label is "{INIT_01}";
attribute INIT_02 of ram_1024_x_18 : label is "{INIT_02}";
attribute INIT_03 of ram_1024_x_18 : label is "{INIT_03}";
attribute INIT_04 of ram_1024_x_18 : label is "{INIT_04}";
attribute INIT_05 of ram_1024_x_18 : label is "{INIT_05}";
attribute INIT_06 of ram_1024_x_18 : label is "{INIT_06}";
attribute INIT_07 of ram_1024_x_18 : label is "{INIT_07}";
attribute INIT_08 of ram_1024_x_18 : label is "{INIT_08}";
attribute INIT_09 of ram_1024_x_18 : label is "{INIT_09}";
attribute INIT_0A of ram_1024_x_18 : label is "{INIT_0A}";
attribute INIT_0B of ram_1024_x_18 : label is "{INIT_0B}";
attribute INIT_0C of ram_1024_x_18 : label is "{INIT_0C}";
attribute INIT_0D of ram_1024_x_18 : label is "{INIT_0D}";
attribute INIT_0E of ram_1024_x_18 : label is "{INIT_0E}";
attribute INIT_0F of ram_1024_x_18 : label is "{INIT_0F}";
attribute INIT_10 of ram_1024_x_18 : label is "{INIT_10}";
attribute INIT_11 of ram_1024_x_18 : label is "{INIT_11}";
attribute INIT_12 of ram_1024_x_18 : label is "{INIT_12}";
attribute INIT_13 of ram_1024_x_18 : label is "{INIT_13}";
attribute INIT_14 of ram_1024_x_18 : label is "{INIT_14}";
attribute INIT_15 of ram_1024_x_18 : label is "{INIT_15}";
attribute INIT_16 of ram_1024_x_18 : label is "{INIT_16}";
attribute INIT_17 of ram_1024_x_18 : label is "{INIT_17}";
attribute INIT_18 of ram_1024_x_18 : label is "{INIT_18}";
attribute INIT_19 of ram_1024_x_18 : label is "{INIT_19}";
attribute INIT_1A of ram_1024_x_18 : label is "{INIT_1A}";
attribute INIT_1B of ram_1024_x_18 : label is "{INIT_1B}";
attribute INIT_1C of ram_1024_x_18 : label is "{INIT_1C}";
attribute INIT_1D of ram_1024_x_18 : label is "{INIT_1D}";
attribute INIT_1E of ram_1024_x_18 : label is "{INIT_1E}";
attribute INIT_1F of ram_1024_x_18 : label is "{INIT_1F}";
attribute INIT_20 of ram_1024_x_18 : label is "{INIT_20}";
attribute INIT_21 of ram_1024_x_18 : label is "{INIT_21}";
attribute INIT_22 of ram_1024_x_18 : label is "{INIT_22}";
attribute INIT_23 of ram_1024_x_18 : label is "{INIT_23}";
attribute INIT_24 of ram_1024_x_18 : label is "{INIT_24}";
attribute INIT_25 of ram_1024_x_18 : label is "{INIT_25}";
attribute INIT_26 of ram_1024_x_18 : label is "{INIT_26}";
attribute INIT_27 of ram_1024_x_18 : label is "{INIT_27}";
attribute INIT_28 of ram_1024_x_18 : label is "{INIT_28}";
attribute INIT_29 of ram_1024_x_18 : label is "{INIT_29}";
attribute INIT_2A of ram_1024_x_18 : label is "{INIT_2A}";
attribute INIT_2B of ram_1024_x_18 : label is "{INIT_2B}";
attribute INIT_2C of ram_1024_x_18 : label is "{INIT_2C}";
attribute INIT_2D of ram_1024_x_18 : label is "{INIT_2D}";
attribute INIT_2E of ram_1024_x_18 : label is "{INIT_2E}";
attribute INIT_2F of ram_1024_x_18 : label is "{INIT_2F}";
attribute INIT_30 of ram_1024_x_18 : label is "{INIT_30}";
attribute INIT_31 of ram_1024_x_18 : label is "{INIT_31}";
attribute INIT_32 of ram_1024_x_18 : label is "{INIT_32}";
attribute INIT_33 of ram_1024_x_18 : label is "{INIT_33}";
attribute INIT_34 of ram_1024_x_18 : label is "{INIT_34}";
attribute INIT_35 of ram_1024_x_18 : label is "{INIT_35}";
attribute INIT_36 of ram_1024_x_18 : label is "{INIT_36}";
attribute INIT_37 of ram_1024_x_18 : label is "{INIT_37}";
attribute INIT_38 of ram_1024_x_18 : label is "{INIT_38}";
attribute INIT_39 of ram_1024_x_18 : label is "{INIT_39}";
attribute INIT_3A of ram_1024_x_18 : label is "{INIT_3A}";
attribute INIT_3B of ram_1024_x_18 : label is "{INIT_3B}";
attribute INIT_3C of ram_1024_x_18 : label is "{INIT_3C}";
attribute INIT_3D of ram_1024_x_18 : label is "{INIT_3D}";
attribute INIT_3E of ram_1024_x_18 : label is "{INIT_3E}";
attribute INIT_3F of ram_1024_x_18 : label is "{INIT_3F}";
attribute INITP_00 of ram_1024_x_18 : label is "{INITP_00}";
attribute INITP_01 of ram_1024_x_18 : label is "{INITP_01}";
attribute INITP_02 of ram_1024_x_18 : label is "{INITP_02}";
attribute INITP_03 of ram_1024_x_18 : label is "{INITP_03}";
attribute INITP_04 of ram_1024_x_18 : label is "{INITP_04}";
attribute INITP_05 of ram_1024_x_18 : label is "{INITP_05}";
attribute INITP_06 of ram_1024_x_18 : label is "{INITP_06}";
attribute INITP_07 of ram_1024_x_18 : label is "{INITP_07}";
--
begin
--
--Instantiate the Xilinx primitive for a block RAM
ram_1024_x_18: RAMB16_S18
--synthesis translate_off
--INIT values repeated to define contents for functional simulation
generic map ( INIT_00 => X"{INIT_00}",
INIT_01 => X"{INIT_01}",
INIT_02 => X"{INIT_02}",
INIT_03 => X"{INIT_03}",
INIT_04 => X"{INIT_04}",
INIT_05 => X"{INIT_05}",
INIT_06 => X"{INIT_06}",
INIT_07 => X"{INIT_07}",
INIT_08 => X"{INIT_08}",
INIT_09 => X"{INIT_09}",
INIT_0A => X"{INIT_0A}",
INIT_0B => X"{INIT_0B}",
INIT_0C => X"{INIT_0C}",
INIT_0D => X"{INIT_0D}",
INIT_0E => X"{INIT_0E}",
INIT_0F => X"{INIT_0F}",
INIT_10 => X"{INIT_10}",
INIT_11 => X"{INIT_11}",
INIT_12 => X"{INIT_12}",
INIT_13 => X"{INIT_13}",
INIT_14 => X"{INIT_14}",
INIT_15 => X"{INIT_15}",
INIT_16 => X"{INIT_16}",
INIT_17 => X"{INIT_17}",
INIT_18 => X"{INIT_18}",
INIT_19 => X"{INIT_19}",
INIT_1A => X"{INIT_1A}",
INIT_1B => X"{INIT_1B}",
INIT_1C => X"{INIT_1C}",
INIT_1D => X"{INIT_1D}",
INIT_1E => X"{INIT_1E}",
INIT_1F => X"{INIT_1F}",
INIT_20 => X"{INIT_20}",
INIT_21 => X"{INIT_21}",
INIT_22 => X"{INIT_22}",
INIT_23 => X"{INIT_23}",
INIT_24 => X"{INIT_24}",
INIT_25 => X"{INIT_25}",
INIT_26 => X"{INIT_26}",
INIT_27 => X"{INIT_27}",
INIT_28 => X"{INIT_28}",
INIT_29 => X"{INIT_29}",
INIT_2A => X"{INIT_2A}",
INIT_2B => X"{INIT_2B}",
INIT_2C => X"{INIT_2C}",
INIT_2D => X"{INIT_2D}",
INIT_2E => X"{INIT_2E}",
INIT_2F => X"{INIT_2F}",
INIT_30 => X"{INIT_30}",
INIT_31 => X"{INIT_31}",
INIT_32 => X"{INIT_32}",
INIT_33 => X"{INIT_33}",
INIT_34 => X"{INIT_34}",
INIT_35 => X"{INIT_35}",
INIT_36 => X"{INIT_36}",
INIT_37 => X"{INIT_37}",
INIT_38 => X"{INIT_38}",
INIT_39 => X"{INIT_39}",
INIT_3A => X"{INIT_3A}",
INIT_3B => X"{INIT_3B}",
INIT_3C => X"{INIT_3C}",
INIT_3D => X"{INIT_3D}",
INIT_3E => X"{INIT_3E}",
INIT_3F => X"{INIT_3F}",
INITP_00 => X"{INITP_00}",
INITP_01 => X"{INITP_01}",
INITP_02 => X"{INITP_02}",
INITP_03 => X"{INITP_03}",
INITP_04 => X"{INITP_04}",
INITP_05 => X"{INITP_05}",
INITP_06 => X"{INITP_06}",
INITP_07 => X"{INITP_07}")
--synthesis translate_on
port map( DI => "0000000000000000",
DIP => "00",
EN => '1',
WE => '0',
SSR => '0',
CLK => clk,
ADDR => address,
DO => instruction(15 downto 0),
DOP => instruction(17 downto 16));
--
end low_level_definition;
--
------------------------------------------------------------------------------------
--
-- END OF FILE {name}.vhd
--
------------------------------------------------------------------------------------
|
library ieee;
use ieee.numeric_std.all;
use ieee.std_logic_1164.all;
package lut_pkg is
end package lut_pkg;
library ieee;
use ieee.numeric_std.all;
use ieee.std_logic_1164.all;
entity lut is
generic (
N : integer;
I_WIDTH : integer;
LUT : std_logic_vector := (N-1 downto 0 => (I_WIDTH-1 downto 0 = > '0'))
);
port (
I : in std_logic_vector(N-1 downto 0);
O : out std_logic
);
end entity lut;
architecture rtl of lut is
begin
O <= LUTIO_LOGIC(I);
end architecture rtl;
|
-------------------------------------------------------------------------------
-- xps_timer_0_wrapper.vhd
-------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
library xps_timer_v1_02_a;
use xps_timer_v1_02_a.all;
entity xps_timer_0_wrapper is
port (
CaptureTrig0 : in std_logic;
CaptureTrig1 : in std_logic;
GenerateOut0 : out std_logic;
GenerateOut1 : out std_logic;
PWM0 : out std_logic;
Interrupt : out std_logic;
Freeze : in std_logic;
SPLB_Clk : in std_logic;
SPLB_Rst : in std_logic;
PLB_ABus : in std_logic_vector(0 to 31);
PLB_PAValid : in std_logic;
PLB_masterID : in std_logic_vector(0 to 0);
PLB_RNW : in std_logic;
PLB_BE : in std_logic_vector(0 to 3);
PLB_size : in std_logic_vector(0 to 3);
PLB_type : in std_logic_vector(0 to 2);
PLB_wrDBus : in std_logic_vector(0 to 31);
Sl_addrAck : out std_logic;
Sl_SSize : out std_logic_vector(0 to 1);
Sl_wait : out std_logic;
Sl_rearbitrate : out std_logic;
Sl_wrDAck : out std_logic;
Sl_wrComp : out std_logic;
Sl_rdDBus : out std_logic_vector(0 to 31);
Sl_rdDAck : out std_logic;
Sl_rdComp : out std_logic;
Sl_MBusy : out std_logic_vector(0 to 1);
Sl_MWrErr : out std_logic_vector(0 to 1);
Sl_MRdErr : out std_logic_vector(0 to 1);
PLB_UABus : in std_logic_vector(0 to 31);
PLB_SAValid : in std_logic;
PLB_rdPrim : in std_logic;
PLB_wrPrim : in std_logic;
PLB_abort : in std_logic;
PLB_busLock : in std_logic;
PLB_MSize : in std_logic_vector(0 to 1);
PLB_lockErr : in std_logic;
PLB_wrBurst : in std_logic;
PLB_rdBurst : in std_logic;
PLB_wrPendReq : in std_logic;
PLB_rdPendReq : in std_logic;
PLB_wrPendPri : in std_logic_vector(0 to 1);
PLB_rdPendPri : in std_logic_vector(0 to 1);
PLB_reqPri : in std_logic_vector(0 to 1);
PLB_TAttribute : in std_logic_vector(0 to 15);
Sl_wrBTerm : out std_logic;
Sl_rdWdAddr : out std_logic_vector(0 to 3);
Sl_rdBTerm : out std_logic;
Sl_MIRQ : out std_logic_vector(0 to 1)
);
attribute x_core_info : STRING;
attribute x_core_info of xps_timer_0_wrapper : entity is "xps_timer_v1_02_a";
end xps_timer_0_wrapper;
architecture STRUCTURE of xps_timer_0_wrapper is
component xps_timer is
generic (
C_FAMILY : STRING;
C_COUNT_WIDTH : INTEGER;
C_ONE_TIMER_ONLY : INTEGER;
C_TRIG0_ASSERT : std_logic;
C_TRIG1_ASSERT : std_logic;
C_GEN0_ASSERT : std_logic;
C_GEN1_ASSERT : std_logic;
C_BASEADDR : std_logic_vector;
C_HIGHADDR : std_logic_vector;
C_SPLB_AWIDTH : INTEGER;
C_SPLB_DWIDTH : INTEGER;
C_SPLB_P2P : INTEGER;
C_SPLB_MID_WIDTH : INTEGER;
C_SPLB_NUM_MASTERS : INTEGER;
C_SPLB_SUPPORT_BURSTS : INTEGER;
C_SPLB_NATIVE_DWIDTH : INTEGER
);
port (
CaptureTrig0 : in std_logic;
CaptureTrig1 : in std_logic;
GenerateOut0 : out std_logic;
GenerateOut1 : out std_logic;
PWM0 : out std_logic;
Interrupt : out std_logic;
Freeze : in std_logic;
SPLB_Clk : in std_logic;
SPLB_Rst : in std_logic;
PLB_ABus : in std_logic_vector(0 to C_SPLB_AWIDTH-1);
PLB_PAValid : in std_logic;
PLB_masterID : in std_logic_vector(0 to (C_SPLB_MID_WIDTH-1));
PLB_RNW : in std_logic;
PLB_BE : in std_logic_vector(0 to ((C_SPLB_DWIDTH/8)-1));
PLB_size : in std_logic_vector(0 to 3);
PLB_type : in std_logic_vector(0 to 2);
PLB_wrDBus : in std_logic_vector(0 to (C_SPLB_DWIDTH-1));
Sl_addrAck : out std_logic;
Sl_SSize : out std_logic_vector(0 to 1);
Sl_wait : out std_logic;
Sl_rearbitrate : out std_logic;
Sl_wrDAck : out std_logic;
Sl_wrComp : out std_logic;
Sl_rdDBus : out std_logic_vector(0 to (C_SPLB_DWIDTH-1));
Sl_rdDAck : out std_logic;
Sl_rdComp : out std_logic;
Sl_MBusy : out std_logic_vector(0 to (C_SPLB_NUM_MASTERS-1));
Sl_MWrErr : out std_logic_vector(0 to (C_SPLB_NUM_MASTERS-1));
Sl_MRdErr : out std_logic_vector(0 to (C_SPLB_NUM_MASTERS-1));
PLB_UABus : in std_logic_vector(0 to C_SPLB_AWIDTH-1);
PLB_SAValid : in std_logic;
PLB_rdPrim : in std_logic;
PLB_wrPrim : in std_logic;
PLB_abort : in std_logic;
PLB_busLock : in std_logic;
PLB_MSize : in std_logic_vector(0 to 1);
PLB_lockErr : in std_logic;
PLB_wrBurst : in std_logic;
PLB_rdBurst : in std_logic;
PLB_wrPendReq : in std_logic;
PLB_rdPendReq : in std_logic;
PLB_wrPendPri : in std_logic_vector(0 to 1);
PLB_rdPendPri : in std_logic_vector(0 to 1);
PLB_reqPri : in std_logic_vector(0 to 1);
PLB_TAttribute : in std_logic_vector(0 to 15);
Sl_wrBTerm : out std_logic;
Sl_rdWdAddr : out std_logic_vector(0 to 3);
Sl_rdBTerm : out std_logic;
Sl_MIRQ : out std_logic_vector(0 to (C_SPLB_NUM_MASTERS-1))
);
end component;
begin
xps_timer_0 : xps_timer
generic map (
C_FAMILY => "spartan3a",
C_COUNT_WIDTH => 32,
C_ONE_TIMER_ONLY => 1,
C_TRIG0_ASSERT => '1',
C_TRIG1_ASSERT => '1',
C_GEN0_ASSERT => '1',
C_GEN1_ASSERT => '1',
C_BASEADDR => X"83c00000",
C_HIGHADDR => X"83c0ffff",
C_SPLB_AWIDTH => 32,
C_SPLB_DWIDTH => 32,
C_SPLB_P2P => 0,
C_SPLB_MID_WIDTH => 1,
C_SPLB_NUM_MASTERS => 2,
C_SPLB_SUPPORT_BURSTS => 0,
C_SPLB_NATIVE_DWIDTH => 32
)
port map (
CaptureTrig0 => CaptureTrig0,
CaptureTrig1 => CaptureTrig1,
GenerateOut0 => GenerateOut0,
GenerateOut1 => GenerateOut1,
PWM0 => PWM0,
Interrupt => Interrupt,
Freeze => Freeze,
SPLB_Clk => SPLB_Clk,
SPLB_Rst => SPLB_Rst,
PLB_ABus => PLB_ABus,
PLB_PAValid => PLB_PAValid,
PLB_masterID => PLB_masterID,
PLB_RNW => PLB_RNW,
PLB_BE => PLB_BE,
PLB_size => PLB_size,
PLB_type => PLB_type,
PLB_wrDBus => PLB_wrDBus,
Sl_addrAck => Sl_addrAck,
Sl_SSize => Sl_SSize,
Sl_wait => Sl_wait,
Sl_rearbitrate => Sl_rearbitrate,
Sl_wrDAck => Sl_wrDAck,
Sl_wrComp => Sl_wrComp,
Sl_rdDBus => Sl_rdDBus,
Sl_rdDAck => Sl_rdDAck,
Sl_rdComp => Sl_rdComp,
Sl_MBusy => Sl_MBusy,
Sl_MWrErr => Sl_MWrErr,
Sl_MRdErr => Sl_MRdErr,
PLB_UABus => PLB_UABus,
PLB_SAValid => PLB_SAValid,
PLB_rdPrim => PLB_rdPrim,
PLB_wrPrim => PLB_wrPrim,
PLB_abort => PLB_abort,
PLB_busLock => PLB_busLock,
PLB_MSize => PLB_MSize,
PLB_lockErr => PLB_lockErr,
PLB_wrBurst => PLB_wrBurst,
PLB_rdBurst => PLB_rdBurst,
PLB_wrPendReq => PLB_wrPendReq,
PLB_rdPendReq => PLB_rdPendReq,
PLB_wrPendPri => PLB_wrPendPri,
PLB_rdPendPri => PLB_rdPendPri,
PLB_reqPri => PLB_reqPri,
PLB_TAttribute => PLB_TAttribute,
Sl_wrBTerm => Sl_wrBTerm,
Sl_rdWdAddr => Sl_rdWdAddr,
Sl_rdBTerm => Sl_rdBTerm,
Sl_MIRQ => Sl_MIRQ
);
end architecture STRUCTURE;
|
library verilog;
use verilog.vl_types.all;
entity NbitCounter_vlg_vec_tst is
end NbitCounter_vlg_vec_tst;
|
------------------------------------------------------------------------------
-- Testbench for the tstpass_virt configuration
--
-- Project :
-- File : $Id: $
-- Author : Christian Plessl <plessl@tik.ee.ethz.ch>
-- Company : Swiss Federal Institute of Technology (ETH) Zurich
-- Changed : $LastChangedDate: 2004-10-26 14:50:34 +0200 (Tue, 26 Oct 2004) $
------------------------------------------------------------------------------
-- This testbench tests the tstpass_virt configuration
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use std.textio.all;
use work.txt_util.all;
use work.AuxPkg.all;
use work.archConfigPkg.all;
use work.ZArchPkg.all;
use work.ComponentsPkg.all;
use work.ConfigPkg.all;
use work.CfgLib_TSTPASS_VIRT.all;
entity tb_tstpass_virt is
end tb_tstpass_virt;
architecture arch of tb_tstpass_virt is
-- simulation stuff
constant CLK_PERIOD : time := 100 ns;
signal cycle : integer := 1;
constant NDATA : integer := 16; -- nr. of data elements
constant DELAY : integer := 1; -- processing delay of circuit,
-- due to pipeliningq
constant CONTEXTS : integer := 2;
constant NRUNCYCLES : integer := NDATA+DELAY; -- nr. of run cycles
type tbstatusType is (tbstart, idle, done, rst, wr_context0, wr_context1,
wr_context2, set_cmptr, set_cntxt,
push_data_fifo0, wr_ncycl, rd_ncycl, running,
outlevel, pop_data, finished);
signal tbStatus : tbstatusType := idle;
-- general control signals
signal ClkxC : std_logic := '1';
signal RstxRB : std_logic;
-- data/control signals
signal WExE : std_logic;
signal RExE : std_logic;
signal AddrxD : std_logic_vector(IFWIDTH-1 downto 0);
signal DataInxD : std_logic_vector(IFWIDTH-1 downto 0);
signal DataOutxD : std_logic_vector(IFWIDTH-1 downto 0);
-- configuration signals
signal Context0Cfg : engineConfigRec := tstpasscfg_p0;
signal Context1Cfg : engineConfigRec := tstpasscfg_p1;
signal Context0xD : std_logic_vector(ENGN_CFGLEN-1 downto 0) :=
to_engineConfig_vec(Context0Cfg);
signal Context1xD : std_logic_vector(ENGN_CFGLEN-1 downto 0) :=
to_engineConfig_vec(Context1Cfg);
signal Context0Prt : cfgPartArray := partition_config(Context0xD);
signal Context1Prt : cfgPartArray := partition_config(Context1xD);
file HFILE : text open write_mode is "tstpass_virt_cfg.h";
type tv_array is array (0 to NDATA-1) of integer;
constant TESTV : tv_array :=
( 1, 2, 3, 5,
7, 11, 13, 17,
19, 23, 29, 31,
37, 41, 43, 47);
constant EXPRES : tv_array :=
( 1, 3, 6, 11,
18, 29, 42, 59,
78, 101, 130, 161,
198, 239, 282, 329);
begin -- arch
----------------------------------------------------------------------------
-- device under test
----------------------------------------------------------------------------
dut : ZUnit
generic map (
IFWIDTH => IFWIDTH,
DATAWIDTH => DATAWIDTH,
CCNTWIDTH => CCNTWIDTH,
FIFODEPTH => FIFODEPTH)
port map (
ClkxC => ClkxC,
RstxRB => RstxRB,
WExEI => WExE,
RExEI => RExE,
AddrxDI => AddrxD,
DataxDI => DataInxD,
DataxDO => DataOutxD);
----------------------------------------------------------------------------
-- generate .h file for coupled simulation
----------------------------------------------------------------------------
hFileGen : process
variable contextArr : contextPartArray :=
(others => (others => (others => '0')));
begin -- process hFileGen
contextArr(0) := Context0Prt;
contextArr(1) := Context1Prt;
-- need only 2 contexts
gen_contexthfile2(HFILE, contextArr);
wait;
end process hFileGen;
----------------------------------------------------------------------------
-- stimuli
----------------------------------------------------------------------------
stimuliTb : process
variable response : integer;
variable expectedresponse : integer;
variable l : line;
begin -- process stimuliTb
tbStatus <= tbstart;
WExE <= '0';
RExE <= '0';
AddrxD <= (others => '0');
DataInxD <= (others => '0');
wait until (ClkxC'event and ClkxC = '1' and RstxRB = '0');
wait until (ClkxC'event and ClkxC = '1' and RstxRB = '1');
tbStatus <= idle;
-- wait for CLK_PERIOD*0.25;
wait for CLK_PERIOD*0.1;
tbStatus <= idle; -- idle
WExE <= '0';
RExE <= '0';
AddrxD <= (others => '0');
DataInxD <= (others => '0');
wait for CLK_PERIOD;
-------------------------------------------------
-- reset (ZREG_RST:W)
-------------------------------------------------
tbStatus <= rst;
WExE <= '1';
RExE <= '0';
AddrxD <= std_logic_vector(to_unsigned(ZREG_RST, IFWIDTH));
DataInxD <= std_logic_vector(to_signed(0, IFWIDTH));
wait for CLK_PERIOD;
tbStatus <= idle; -- idle
WExE <= '0';
RExE <= '0';
AddrxD <= (others => '0');
DataInxD <= (others => '0');
wait for CLK_PERIOD;
wait for CLK_PERIOD;
-- -----------------------------------------------
-- write configuration slices to context mem 0 (ZREG_CFGMEM0:W)
-- -----------------------------------------------
tbStatus <= wr_context0;
WExE <= '1';
RExE <= '0';
AddrxD <= std_logic_vector(to_unsigned(ZREG_CFGMEM0, IFWIDTH));
for i in Context0Prt'low to Context0Prt'high loop
DataInxD <= Context0Prt(i);
wait for CLK_PERIOD;
end loop; -- i
tbStatus <= idle; -- idle
WExE <= '0';
RExE <= '0';
AddrxD <= (others => '0');
DataInxD <= (others => '0');
wait for CLK_PERIOD;
wait for CLK_PERIOD;
-- -----------------------------------------------
-- write configuration slices to context mem 1 (ZREG_CFGMEM1:W)
-- -----------------------------------------------
tbStatus <= wr_context1;
WExE <= '1';
RExE <= '0';
AddrxD <= std_logic_vector(to_unsigned(ZREG_CFGMEM1, IFWIDTH));
for i in Context1Prt'low to Context1Prt'high loop
DataInxD <= Context1Prt(i);
wait for CLK_PERIOD;
end loop; -- i
tbStatus <= idle; -- idle
WExE <= '0';
RExE <= '0';
AddrxD <= (others => '0');
DataInxD <= (others => '0');
wait for CLK_PERIOD;
wait for CLK_PERIOD;
-------------------------------------------------
-- push data into FIFO0 (ZREG_FIFO0:W)
-------------------------------------------------
tbStatus <= push_data_fifo0;
WExE <= '1';
RExE <= '0';
AddrxD <= std_logic_vector(to_unsigned(ZREG_FIFO0, IFWIDTH));
for i in 0 to NDATA-1 loop
DataInxD <= (others => '0');
DataInxD(DATAWIDTH-1 downto 0) <=
std_logic_vector(to_unsigned(TESTV(i),DATAWIDTH));
-- assert false
-- report "writing to FIFO0:" & hstr(TESTV(i*3))
-- severity note;
wait for CLK_PERIOD;
end loop; -- i
tbStatus <= idle; -- idle
WExE <= '0';
RExE <= '0';
AddrxD <= (others => '0');
DataInxD <= (others => '0');
wait for CLK_PERIOD;
wait for CLK_PERIOD;
for runcycle in 0 to NDATA+DELAY-1 loop
for context in 0 to CONTEXTS-1 loop
-- set context select register (ZREG_CONTEXTSEL:W)
tbStatus <= set_cntxt;
WExE <= '1';
RExE <= '0';
AddrxD <= std_logic_vector(to_unsigned(ZREG_CONTEXTSEL, IFWIDTH));
DataInxD <= std_logic_vector(to_signed(context, IFWIDTH));
wait for CLK_PERIOD;
-- write cycle count register (ZREG_CYCLECNT:W)
tbStatus <= wr_ncycl;
WExE <= '1';
RExE <= '0';
AddrxD <= std_logic_vector(to_unsigned(ZREG_CYCLECNT, IFWIDTH));
DataInxD <= std_logic_vector(to_signed(1, IFWIDTH));
wait for CLK_PERIOD;
-- run computation of current context
tbStatus <= running;
WExE <= '0';
RExE <= '0';
AddrxD <= (others => '0');
DataInxD <= (others => '0');
wait for CLK_PERIOD;
end loop; -- context
end loop; -- runcycle
-------------------------------------------------
-- pop 1 words from out buffer (ZREG_FIFO1:R)
-- delay of circuit due to registers (pipelining)
-------------------------------------------------
tbStatus <= pop_data;
WExE <= '0';
RExE <= '1';
DataInxD <= (others => '0');
AddrxD <= std_logic_vector(to_unsigned(ZREG_FIFO1, IFWIDTH));
wait for DELAY*CLK_PERIOD;
-------------------------------------------------
-- pop data from out buffer (ZREG_FIFO1:R)
-------------------------------------------------
tbStatus <= pop_data;
WExE <= '0';
RExE <= '1';
DataInxD <= (others => '0');
AddrxD <= std_logic_vector(to_unsigned(ZREG_FIFO1, IFWIDTH));
for i in 0 to NDATA-1 loop
wait for CLK_PERIOD;
response := to_integer(signed(DataOutxD(DATAWIDTH-1 downto 0)));
expectedresponse := EXPRES(i);
assert response = expectedresponse
report "FAILURE--FAILURE--FAILURE--FAILURE--FAILURE--FAILURE" & LF &
"regression test failed, response " & str(response) &
" does NOT match expected response "
& str(expectedresponse) & " tv: " & str(i) & LF &
"FAILURE--FAILURE--FAILURE--FAILURE--FAILURE--FAILURE"
severity failure;
assert not(response = expectedresponse)
report "response " & str(response) & " matches expected " &
"response " & str(expectedresponse) & " tv: " & str(i)
severity note;
end loop; -- i
tbStatus <= idle; -- idle
WExE <= '0';
RExE <= '0';
AddrxD <= (others => '0');
DataInxD <= (others => '0');
wait for CLK_PERIOD;
-----------------------------------------------
-- done stop simulation
-----------------------------------------------
tbStatus <= done; -- done
WExE <= '0';
RExE <= '0';
AddrxD <= (others => '0');
DataInxD <= (others => '0');
wait for CLK_PERIOD;
---------------------------------------------------------------------------
-- stopping the simulation is done by using the following TCL script
-- in modelsim, since terminating the simulation with an assert failure is
-- a crude hack:
--
-- when {/tbStatus == done} {
-- echo "At Time $now Ending the simulation"
-- quit -f
-- }
---------------------------------------------------------------------------
-- stop simulation
wait until (ClkxC'event and ClkxC = '1');
assert false
report "Testbench successfully terminated after " & str(cycle) &
" cycles, no errors found!"
severity failure;
end process stimuliTb;
----------------------------------------------------------------------------
-- clock and reset generation
----------------------------------------------------------------------------
ClkxC <= not ClkxC after CLK_PERIOD/2;
RstxRB <= '0', '1' after CLK_PERIOD*1.25;
----------------------------------------------------------------------------
-- cycle counter
----------------------------------------------------------------------------
cyclecounter : process (ClkxC)
begin
if (ClkxC'event and ClkxC = '1') then
cycle <= cycle + 1;
end if;
end process cyclecounter;
end arch;
|
-------------------------------------------------------------------------------
--
-- Project: <Floating Point Unit Core>
--
-- Description: pre-normalization entity for the square-root unit
-------------------------------------------------------------------------------
--
-- 100101011010011100100
-- 110000111011100100000
-- 100000111011000101101
-- 100010111100101111001
-- 110000111011101101001
-- 010000001011101001010
-- 110100111001001100001
-- 110111010000001100111
-- 110110111110001011101
-- 101110110010111101000
-- 100000010111000000000
--
-- Author: Jidan Al-eryani
-- E-mail: jidan@gmx.net
--
-- Copyright (C) 2006
--
-- This source file may be used and distributed without
-- restriction provided that this copyright statement is not
-- removed from the file and that any derivative work contains
-- the original copyright notice and the associated disclaimer.
--
-- THIS SOFTWARE IS PROVIDED ``AS IS'' AND WITHOUT ANY
-- EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
-- TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-- FOR A PARTICULAR PURPOSE. IN NO EVENT SHALL THE AUTHOR
-- 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.
--
library ieee ;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
use ieee.std_logic_misc.all;
library work;
use work.fpupack.all;
entity pre_norm_sqrt is
port(
clk_i : in std_logic;
opa_i : in std_logic_vector(FP_WIDTH-1 downto 0);
fracta_52_o : out std_logic_vector(2*(FRAC_WIDTH+3)-1 downto 0);
exp_o : out std_logic_vector(EXP_WIDTH-1 downto 0)
);
end pre_norm_sqrt;
architecture rtl of pre_norm_sqrt is
signal s_expa : std_logic_vector(EXP_WIDTH-1 downto 0);
signal s_exp_o, s_exp_tem : std_logic_vector(EXP_WIDTH downto 0);
signal s_fracta : std_logic_vector(FRAC_WIDTH-1 downto 0);
signal s_fracta_24 : std_logic_vector(FRAC_WIDTH downto 0);
signal s_fracta_52_o, s_fracta1_52_o, s_fracta2_52_o : std_logic_vector(2*(FRAC_WIDTH+3)-1 downto 0);
signal s_sqr_zeros_o : std_logic_vector(5 downto 0);
signal s_opa_dn : std_logic;
begin
s_expa <= opa_i(30 downto 23);
s_fracta <= opa_i(22 downto 0);
exp_o <= s_exp_o(7 downto 0);
fracta_52_o <= s_fracta_52_o;
-- opa or opb is denormalized
s_opa_dn <= not or_reduce(s_expa);
s_fracta_24 <= (not s_opa_dn) & s_fracta;
-- count leading zeros
s_sqr_zeros_o <= count_l_zeros(s_fracta_24 );
-- adjust the exponent
s_exp_tem <= ("0"&s_expa)+"001111111" - ("000"&s_sqr_zeros_o);
process(clk_i)
begin
if rising_edge(clk_i) then
if or_reduce(opa_i(30 downto 0))='1' then
s_exp_o <= ("0"&s_exp_tem(8 downto 1));
else
s_exp_o <= "000000000";
end if;
end if;
end process;
-- left-shift the radicand
s_fracta1_52_o <= shl(s_fracta_24, s_sqr_zeros_o) & "0000000000000000000000000000";
s_fracta2_52_o <= '0' & shl(s_fracta_24, s_sqr_zeros_o) & "000000000000000000000000000";
s_fracta_52_o <= s_fracta1_52_o when s_expa(0)='0' else s_fracta2_52_o;
end rtl;
|
-------------------------------------------------------------------------------
--
-- Project: <Floating Point Unit Core>
--
-- Description: pre-normalization entity for the square-root unit
-------------------------------------------------------------------------------
--
-- 100101011010011100100
-- 110000111011100100000
-- 100000111011000101101
-- 100010111100101111001
-- 110000111011101101001
-- 010000001011101001010
-- 110100111001001100001
-- 110111010000001100111
-- 110110111110001011101
-- 101110110010111101000
-- 100000010111000000000
--
-- Author: Jidan Al-eryani
-- E-mail: jidan@gmx.net
--
-- Copyright (C) 2006
--
-- This source file may be used and distributed without
-- restriction provided that this copyright statement is not
-- removed from the file and that any derivative work contains
-- the original copyright notice and the associated disclaimer.
--
-- THIS SOFTWARE IS PROVIDED ``AS IS'' AND WITHOUT ANY
-- EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
-- TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-- FOR A PARTICULAR PURPOSE. IN NO EVENT SHALL THE AUTHOR
-- 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.
--
library ieee ;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
use ieee.std_logic_misc.all;
library work;
use work.fpupack.all;
entity pre_norm_sqrt is
port(
clk_i : in std_logic;
opa_i : in std_logic_vector(FP_WIDTH-1 downto 0);
fracta_52_o : out std_logic_vector(2*(FRAC_WIDTH+3)-1 downto 0);
exp_o : out std_logic_vector(EXP_WIDTH-1 downto 0)
);
end pre_norm_sqrt;
architecture rtl of pre_norm_sqrt is
signal s_expa : std_logic_vector(EXP_WIDTH-1 downto 0);
signal s_exp_o, s_exp_tem : std_logic_vector(EXP_WIDTH downto 0);
signal s_fracta : std_logic_vector(FRAC_WIDTH-1 downto 0);
signal s_fracta_24 : std_logic_vector(FRAC_WIDTH downto 0);
signal s_fracta_52_o, s_fracta1_52_o, s_fracta2_52_o : std_logic_vector(2*(FRAC_WIDTH+3)-1 downto 0);
signal s_sqr_zeros_o : std_logic_vector(5 downto 0);
signal s_opa_dn : std_logic;
begin
s_expa <= opa_i(30 downto 23);
s_fracta <= opa_i(22 downto 0);
exp_o <= s_exp_o(7 downto 0);
fracta_52_o <= s_fracta_52_o;
-- opa or opb is denormalized
s_opa_dn <= not or_reduce(s_expa);
s_fracta_24 <= (not s_opa_dn) & s_fracta;
-- count leading zeros
s_sqr_zeros_o <= count_l_zeros(s_fracta_24 );
-- adjust the exponent
s_exp_tem <= ("0"&s_expa)+"001111111" - ("000"&s_sqr_zeros_o);
process(clk_i)
begin
if rising_edge(clk_i) then
if or_reduce(opa_i(30 downto 0))='1' then
s_exp_o <= ("0"&s_exp_tem(8 downto 1));
else
s_exp_o <= "000000000";
end if;
end if;
end process;
-- left-shift the radicand
s_fracta1_52_o <= shl(s_fracta_24, s_sqr_zeros_o) & "0000000000000000000000000000";
s_fracta2_52_o <= '0' & shl(s_fracta_24, s_sqr_zeros_o) & "000000000000000000000000000";
s_fracta_52_o <= s_fracta1_52_o when s_expa(0)='0' else s_fracta2_52_o;
end rtl;
|
-------------------------------------------------------------------------------
--
-- Project: <Floating Point Unit Core>
--
-- Description: pre-normalization entity for the square-root unit
-------------------------------------------------------------------------------
--
-- 100101011010011100100
-- 110000111011100100000
-- 100000111011000101101
-- 100010111100101111001
-- 110000111011101101001
-- 010000001011101001010
-- 110100111001001100001
-- 110111010000001100111
-- 110110111110001011101
-- 101110110010111101000
-- 100000010111000000000
--
-- Author: Jidan Al-eryani
-- E-mail: jidan@gmx.net
--
-- Copyright (C) 2006
--
-- This source file may be used and distributed without
-- restriction provided that this copyright statement is not
-- removed from the file and that any derivative work contains
-- the original copyright notice and the associated disclaimer.
--
-- THIS SOFTWARE IS PROVIDED ``AS IS'' AND WITHOUT ANY
-- EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
-- TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-- FOR A PARTICULAR PURPOSE. IN NO EVENT SHALL THE AUTHOR
-- 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.
--
library ieee ;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
use ieee.std_logic_misc.all;
library work;
use work.fpupack.all;
entity pre_norm_sqrt is
port(
clk_i : in std_logic;
opa_i : in std_logic_vector(FP_WIDTH-1 downto 0);
fracta_52_o : out std_logic_vector(2*(FRAC_WIDTH+3)-1 downto 0);
exp_o : out std_logic_vector(EXP_WIDTH-1 downto 0)
);
end pre_norm_sqrt;
architecture rtl of pre_norm_sqrt is
signal s_expa : std_logic_vector(EXP_WIDTH-1 downto 0);
signal s_exp_o, s_exp_tem : std_logic_vector(EXP_WIDTH downto 0);
signal s_fracta : std_logic_vector(FRAC_WIDTH-1 downto 0);
signal s_fracta_24 : std_logic_vector(FRAC_WIDTH downto 0);
signal s_fracta_52_o, s_fracta1_52_o, s_fracta2_52_o : std_logic_vector(2*(FRAC_WIDTH+3)-1 downto 0);
signal s_sqr_zeros_o : std_logic_vector(5 downto 0);
signal s_opa_dn : std_logic;
begin
s_expa <= opa_i(30 downto 23);
s_fracta <= opa_i(22 downto 0);
exp_o <= s_exp_o(7 downto 0);
fracta_52_o <= s_fracta_52_o;
-- opa or opb is denormalized
s_opa_dn <= not or_reduce(s_expa);
s_fracta_24 <= (not s_opa_dn) & s_fracta;
-- count leading zeros
s_sqr_zeros_o <= count_l_zeros(s_fracta_24 );
-- adjust the exponent
s_exp_tem <= ("0"&s_expa)+"001111111" - ("000"&s_sqr_zeros_o);
process(clk_i)
begin
if rising_edge(clk_i) then
if or_reduce(opa_i(30 downto 0))='1' then
s_exp_o <= ("0"&s_exp_tem(8 downto 1));
else
s_exp_o <= "000000000";
end if;
end if;
end process;
-- left-shift the radicand
s_fracta1_52_o <= shl(s_fracta_24, s_sqr_zeros_o) & "0000000000000000000000000000";
s_fracta2_52_o <= '0' & shl(s_fracta_24, s_sqr_zeros_o) & "000000000000000000000000000";
s_fracta_52_o <= s_fracta1_52_o when s_expa(0)='0' else s_fracta2_52_o;
end rtl;
|
`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
fDxVSk6DpGvLHz2WcuEB4uxargRrLYfxBC9JnBPIGNTInQFoGMSPlK4/zBoFfPq+jRHgLVdwAs7y
lMnXxMmSbg==
`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
lLrLMIf4xYRJG92GrqH4PqoIQeplVaVtu2YI2mhbEAxiebmO0Qovfl01Zj4NelUk/WaIuC1j/jvO
54f+h2tUpQB/e9LJwYzMtrpGCmeNjQPHGY8wfqJ4vItnFJ7Xs1f6PNItdeIaTTo1htHrBKaCRzKg
Gj8JpHAB+k9vq0NI6w8=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
J3B+e4UJdj7fhXEj7giGl7IEgmrVJxmZ+9Ab012msKVUWQv6+VKsZOR31Vk69WtpB4L+MKCZrMCs
odaNV2MiAd2AnsxktSUHWCcbYPakGgVjpLu2KdxPuXNoc0cCqsKOGuyLhem3igWr5I6r1TaJlr0a
oysG848HT7Bfpufx/voOjHuWqOrAZCwg9J7kdPTT+gWmwPDUV21GOqr1CZ7BFAYpOcAmuWk4MHpg
e4kbWuBwlRl6ohiXL49B0bohimAerWgFzj5jYoduoHFmSKB1bMokTqZ8A3VRYCehGb8kOIkGygZ3
Zfc0Db98zI064oEUHKLm0GI7muACzw+71c8uxg==
`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
WQJW2oyV5T3P6gys3w8CH7YWhEJrta2x74I6RzI5rwt93ULO72+FYqzXieG0jYin/cwo07ibXF+x
8EcRPP1q+dn13YncivrBrZnowUZssKbzohqRiUom2eGgVofNHHZ2u4yORYddmDtCKuRwMQqOA10A
Qlv/8gtuGovOtfr+Ym0=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
gxuGp9VkpRAcPJ1tVoGxfOsUqd5IKMFO9+ilNThW2ka5+mhr6R9aRgZj/HF0EVgpXPVl9muwmGax
wdbczsQ3HFB+G9UJ/ExtqrBCNs1wxPJSuesnJI2uy3ALxbu2JWtQNLjzHxWHoIMVDQdV1ykqDoi7
a0z6Gbd1Z1TVTV6yTOA1vJhoZBPLDwx28ceY84krdAGA1GV16ElsS0OBiy5NpHCREGwEdkpjMKZf
f4TDxK32YuXzVFO9QnnqyJhsy3S9hrd/R2riu3j+elHgxtEJdJQcdhvel5ajubic3yzl540RpSGQ
ULAuqubzDvptrYNZCJnaGcE7jxH4R410VkSzTA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 44016)
`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
fDxVSk6DpGvLHz2WcuEB4uxargRrLYfxBC9JnBPIGNTInQFoGMSPlK4/zBoFfPq+jRHgLVdwAs7y
lMnXxMmSbg==
`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
lLrLMIf4xYRJG92GrqH4PqoIQeplVaVtu2YI2mhbEAxiebmO0Qovfl01Zj4NelUk/WaIuC1j/jvO
54f+h2tUpQB/e9LJwYzMtrpGCmeNjQPHGY8wfqJ4vItnFJ7Xs1f6PNItdeIaTTo1htHrBKaCRzKg
Gj8JpHAB+k9vq0NI6w8=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
J3B+e4UJdj7fhXEj7giGl7IEgmrVJxmZ+9Ab012msKVUWQv6+VKsZOR31Vk69WtpB4L+MKCZrMCs
odaNV2MiAd2AnsxktSUHWCcbYPakGgVjpLu2KdxPuXNoc0cCqsKOGuyLhem3igWr5I6r1TaJlr0a
oysG848HT7Bfpufx/voOjHuWqOrAZCwg9J7kdPTT+gWmwPDUV21GOqr1CZ7BFAYpOcAmuWk4MHpg
e4kbWuBwlRl6ohiXL49B0bohimAerWgFzj5jYoduoHFmSKB1bMokTqZ8A3VRYCehGb8kOIkGygZ3
Zfc0Db98zI064oEUHKLm0GI7muACzw+71c8uxg==
`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
WQJW2oyV5T3P6gys3w8CH7YWhEJrta2x74I6RzI5rwt93ULO72+FYqzXieG0jYin/cwo07ibXF+x
8EcRPP1q+dn13YncivrBrZnowUZssKbzohqRiUom2eGgVofNHHZ2u4yORYddmDtCKuRwMQqOA10A
Qlv/8gtuGovOtfr+Ym0=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
gxuGp9VkpRAcPJ1tVoGxfOsUqd5IKMFO9+ilNThW2ka5+mhr6R9aRgZj/HF0EVgpXPVl9muwmGax
wdbczsQ3HFB+G9UJ/ExtqrBCNs1wxPJSuesnJI2uy3ALxbu2JWtQNLjzHxWHoIMVDQdV1ykqDoi7
a0z6Gbd1Z1TVTV6yTOA1vJhoZBPLDwx28ceY84krdAGA1GV16ElsS0OBiy5NpHCREGwEdkpjMKZf
f4TDxK32YuXzVFO9QnnqyJhsy3S9hrd/R2riu3j+elHgxtEJdJQcdhvel5ajubic3yzl540RpSGQ
ULAuqubzDvptrYNZCJnaGcE7jxH4R410VkSzTA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 44016)
`protect data_block
hi5IT2Sru85HOnSJPyyr1bO8kIrbBvJ8efyIYR/EAz5LpHvln2houSgidGW0PGaBWh7JICwor0Q+
XxeRsz1igMsho/xA2h+YZ5JPJdtCAdDKK9UP7GyNwGZP76TFOcrf3hsicx3bxqcT8JuVHu2hri0Q
69dW/ZvI0EZEXYFxYn8ECmF0DDLYQ603uSPbQehQ2DEp0f1/WILQ5pQSwvwoiLSk9VkLfzTyWirD
x4aLM5N6BKK6xUvBQ/95nc4SK4vgnPh87KRYpMe214acnJgthMT1jqFqX2Z7LIA8F8YRvBxlhLSu
I/YO6Btd/Mrf/Vu7HhijPHxy4xgcPFtJhF/ofIq7C4wzh/bDvi3Sy1OMY/wFgijOMnpTSMTtmuet
kmICHqoXY0xB8JOE4gyYzwX3xpDbC33Kokpche6MZKS3C4G2KUeeuyxpTglTIqSrG5CvkHOhoaA3
1gVwl9Hrjt5LXtj4R1aN7yAL1GDNcdgo9EU6AYSwbCxWtZGk2TydS4e9m19vtVH75Ock2oz13nFO
oysjqc1feaWs4ThDA+qz5lpofyriSM0zbGiawUG4sbQgYT+CzcSPDbyzRZwwpwdbNG62ftvhnF0I
GVe2h6PgvA7ppNr/wSNa3grPUQOIawyXUQFjdXDwXF09cScUit6/nC6nED2xJeNKmUmaqjxIWbm+
vhxJoArNSZ34RHbsnDqsW///A1aF2fksoH5Wz1SvhQTg3SseZzBwl4Akb7c6tsfm25yGHIDYWzH/
6ZgobK9uDQiPqrPcFI11WNflb4FkDVaxAqpIc18CjHvbca7Zejaomrj2PAj3opIVNG3hrI1kOXnT
ftvpxsptaxplLKQHdpNpqnR4s7C33ZJrbUCpvQXD1WK6d4xO8Ic+wWVuIwm3rJi9GzQqwZhlAWPw
nBk/gfFYIJqdUHB+z2O7RwMizU9psrdRf7fjChogt3JQ7i02ChBSJMvelnpgP12/oCfGFio9ctK5
epT0Pal8p7ISZgQspwW8YlFxAww4Dhn2ziituy4dNjxLt49PY6Z03uYxtGIS3lzR6GAmWEk3+Oob
0VRe+H8MvtP+dcvo5gWqb9pRDehiNQk4AbJqEDQn+5wme1Vyt3WOT/TTMG1sY2CBdlXKScEWJAbb
uZ7aU24xPooU6AlH5NmNcAu8V1pidbT7MnQkXwgAsPWOsvEsWyg/uB1Sx2Xyq+m8undih0oP5psO
xyYOcJQB2eb/EQB80874fXReXdlWqYAIgNB1uJvoR8O368d/djFwGsgVxk+hwz2mgukbUORWh14e
A2Ig/WuEosEqwu9KRF00CqEXMzSD6I51PucDhbIUjwUoUa5EC1A6mT0k6ahCsdhE+GS0tMk+Hcdk
9OPIvVpBPn4BSPDL5BAokvmdyHBAcskE5Xe8q2hgOgPk9jL7q8IsKA6sZxvta+cVznAAOcMUdCw7
i6QoKLLy4NdrzzDSV5u+181SfXbJrt5l3TBcvxq2TaoOGE4AbgglJrk7NAIxF7pH8O1GgPwPwudm
sZBQEJ+V6lDHhYh1odx62AAhDkk4ulvFxVwo4MF8vD9Ivem0Oh6b9WtovSiPdKJD+84fO5yAi5M6
E2wz8uvPsul//9Z1GAdc/Lqn+whZ+LXgtWENdPs/N1swdiAzH4oipCv3W7d+yVJaaVOPUM7vLHP6
cCinUPDuYwtjx+08LbIOGH/MiZakZTR9KMBfDtQ8LvImBPdUJdUPab/AL6LmvgNbIJk9VXt1YS6J
/pq4r98+lDlx85ZuLLIwpYFIj963LiN5Hl5aqv6aiOfAsAJQG3hL+t6vpLHXE1YuljWWJ3ystTM0
druNPG1r6PUY9QgIn0lXSTeQQa3eWPrUAGbBZshQpj3uv+8OrYg+6COyRAAfrrGDRpldpL/7Rxms
IScsUI4dTBrMUafbFroA7NnyJ9VOIuaPyurw/SrJRLl6uc4pchsyPsabfljdZxpAae57hTY2nZ3X
yJXvil8I4zsTsSdVfOGUtl4qw0zr6omadD3RVy/UYzBa3WHT0bvLTeRPtpRgqtwvakglDRKnXqaq
y5MhVYLLFpi7BMc9all5LGcYCKzUjiRe3ASMACz0pZv3kCBmN11mHKwmevFpOd3D6udg4TWsmjXq
0R/NExry1v0+3bGP0i9sLl4LC6wdiH3VswStfxJjhCOcfOcuYoKjHhAEFr1Tk9ytD5x/B+n91MCA
KO6K29Uh0Fn38tyCIEstgpXWSw0wfnkyctko78I7qNVdX+vyXecyOl7xLWtLODg+ZV9VyyH8Lpi9
X3LBm7czfvTfYzeVMzCEjBrdzj3ijbCjwjDfAwQOrPqDUYKWLHfjsQrzluZRZUWCf/lO7ONhlS5U
awo+V63RnPXyL41r/COkSkJLIwJ/yW4O8507GZkfqzKVsYcX0l5HFF3jkQDmqW9BQw3NqNjZdpmo
PH2FJCGhH3opPr9jdbmsXVTZV1mxW57Nx3j5j3IGyFQjJZkSlRc/ZGCwbuckIxAXg3ETepcTuqmB
HJUTv0W920sbHhfGoooydC7GvbfPq1KwOo7vIMgOQmKYzUTMVtfu+7e7vYqosNFLR1dsnDd9h9an
M1hGsVBTqiM7YOLr850M5vosro+J8jo9wa1i7c0y8J87AhTuubH0A4rUUPsybgavP/PqZx3ei6Lb
Z1D4iD7R7AMqwJC38zu5mbcM3ewQaFYCGjG6lSAd2NBs61aMRFJob7boJv/0znbmWW2KmqG2FJWV
Ngfy/3GGaXMLT/DXTZIcTMMyO9Ow4m95ofnNxxXF8tpxChnyHzGmPUFnd6JnHvj7riUmZ2YI04Rg
q0fQL+MP7vuG+v6Pq9RP14VanOEuGpZbPKIOakDMIhG9YPJS7XkHksHl9t5Rd63YZAsoCLOaF9kv
0VdOv0UXXv2QyCZUVtArlF1ULiiv7FBeMMC9hCHll3B2SeKw/NbOIe0AbPe+9FJZYv9jYo5S5zF0
HDkEuGj5hJJUWJ+cWHrdcL2l95hhucv4htSXwikR6trZdZAg267Ah6EnWZ7wZ53g7mEwJYOSKkCP
OY+JCIGUWf4CQLtRNAVzPCffTTbatx4ZT1+08ZxtsHvesCcia43Q077xOYSNzOyPFedxOuRNbAUb
n3BVjKv2P1rg5u/k5VpgpayS29cIYHrmJ1pwujLl0yHMMiequZnlM9I5iEWfwv3VbCSFrVYQd8Cf
7SpmlvKBMdV/PluZau07H7eRBY2UeMN7EfAgUwZp3vgBYGVpeysW+Wjyrsir3/L2wWUMa3t5h/y1
1mYKX8KV6RBkOoIBdww1JKR32fkIzlZ2evITppVek3xGYky5r5Y2Zup6PvTHX2wR/M+eTbAYjPqC
a2Fo/A0Rq2zlPx+4YdlfA2gLKd84rGtiUkUTI8ZpVWDXt9HzYgcH4o8Z2bmsi9FZgF46aZN0yVNK
giliSQwxddwohRszpc4dp2VqvPbZ73X7BO8QiggA5FL8KWzcbQbf0bprcON2Vn7omP54nGy+j+/k
OSvr3RCD2wlfmj764rfkmhsHhK+SHjGaUUvG2ZGkGNDOKOb/hOxG3hCt8asfggcDba/v1dhtlKl+
gz+3OdcyGcaoyoJVrMtJgyAETMy+8k0B5okH92bxdTGW3I5+gpCg5Z9o8YTnsogW3xWutwnLPYTq
fWGKFqs9YStR38rQvudnGkxvRPBtdgKtXWlJkpgekSK8OrzsT/VV/vnFuzi4092AvNAAQoXXRiwe
TN/dO3aeMXvr49bGNhEtyN0VPrGrnCRZ8si0ysCAvskDbBsbZsQPQQpfsY6eahQszod7BCpoMw5N
OfRsPMnnV1N8F/rfn9aC2/J4ioXHE5iIwPgjqEZjpkVlMQm5Ij4+nySPeEIhhS6mrvtR2tCNyh97
QbCqFCM8NaUmORWb46/t1mj9iM9vPyAt9HlI97o+2VHWk/gMaEbUBE3kQ4V2yZ/12N1sYiDnadEh
XcFwDFnUI5phKBZfELy7QcA5Pck3f5vUS8QrfPb7sqIw4zpeiMQxJSLeSs7KzF0YA/BAaYUa6/pG
JJry6AB+730ofZVna+cc2+WBjl4Q3KEleteWxpwTJOMYE3UoId70TgbEuJ6p2Ex4dkIEkgpaXfbB
2tc4JA5ooWpDrePgkuy8HQa3+K6fINnbm+QoQLnaQ1R9lFt9ojITAD1z9c3MYMqU7n6KI3tUpIBf
RJZX83J7nEuL9795LvLKpuju8I+HULtNsQRaNaNOGKUa4fDhkHttyTgWDVWWAvYq4jQt1rShypIj
cwtQKEIFACij1UcKssMwFzontYMMdpO8VNAxD2UwPP4IwfXzumqsok5TJ4voT1waU8SxHVY/TJun
jRnJyiG/ePOMsAHXPz2rFgC378y4aw4XTScSOM1CvDgT5tiLd+8I4fouKIsKMDny11tOvwpyhtzw
xHaxRANUQJdiSyUNAj+V7hasD1V5qC+9jDB2UeSX2DhEpp4DBsXKUS1Ik63SgcJf/bZmiS6L0DPa
iuwn0H5c6KKQaz3bcpXPzwhFYWuYnvKSgMDYiOCK9I5zopzV5kAIATkkKcqcC89trvVV4lS5s3wj
LxRZLqFHfxkMIJCPo/vJE4NJQeoiEzM3yvIAByDFXEBS8LjtYAxIc4HKofJx5zzsAw/bk/SOCHHZ
/qZKCgGpj0bvSaxcFbzCtIVJ4vCMRUpHaCf8dNIaLZMMPq4P0YR6SDOq63WHa/9/6ATOHJ207opF
WU64HjxnzE4zMUX0M6lX8r9kIDWzDodt8UOpMxiJzwVeNMw+niampa9qslLMExgMJK0eTPg4kxWv
NUa1Z8eFlwGJJYbxAmdXiipH7893dp1mTi/GX+PYO2xokuSV+Tn6BlRBg/Vc7BP5LdmBQP6MC+yV
LRvVfK6LLYYihNvf1IJSQbzAHfHd9soBcjt7L44kwMKxDjt2aU2yH684lZwY8iXfr2zynGNea9Vq
NEYRQ0976QYnLM+vnPZcrwICAcRvaXnBlp0yQIY3x6D10ao2+RlHlNpEfNvLdfUP1osR/MkdCqU0
SSFLhSJS1QGBqvNZgG0WAXF2IoqXA5odJI18VK3ipmSXPIhWQEFdIBV7l7IacAGatoG3KCrO6FQw
HFJM5TLbl5XxHmfDjdj0eztvLdots+62ILflxX2R8tA+g2oUlY8gyjlEDpqbi68wj6aLQ0VPuybU
3zKizZpV1gj/SRlJoO6G4UB6JpvTWb73meslkHSk9GzwQ8BEFnNfE9s4xbeUukBcoyYLYLQs+vYo
aJpqV0EDbt/sSPliysGSzAwncqbhPQjOlw6f0hVj5dGfnPwVESF0L5wVzg9qGI4I+otPe4l2DVb3
SL73/0ZLhtKs74/qCXLhWEFJWUMQnujeT7GIYRD7I2jNFonxZ/8j3LRdGnp/JuiQ59Q2MG3IkMRe
5ZQwBimAm5iWTWU7Z51FamqlEA9MYb7OL7NYzP00p1uLxNDUJV5O2ALWYsePTN4ZUUTo8rVZLoQE
DDP6ynHhYGxKH27UIDUfsOvTMU7TRcoWavjfqxexQRY8F8I+uUKW4BlJcIFC7f5Io84Il31cOydW
NxIa5tUL3g/MnHPrMblwbP9Ya0qI4E1xg70M+T3dyLveX36SXnKe4A+48/evdZXmiMI4EVofVBDh
1z8QrJdpoiL3D7bMlltQ/4YkeKcfrK/CgpL4Kuh3huoBLlh+EcrRzpjlGl4mKjGUqnhigrRjHOqd
KEr5vWbnrnwY80esm+IwqpCY+qc+QC55sK9u39EjPFnAdcUKzgehrUwTnjRM/cv+ZZlXsLm9f7ZH
uYHLbPfFvXoB/1dMhddtEvk2U+g6cwliWMdWwjOmjwzi+v9tGQcmLjAvh9lc9TKckE8FA/wGOxSH
q3n/lPvTcczGvwlFTG0pfauaP8itG2szJQn9wYjjS4w5cU0TKkMi1QDabQTgiUbPQWV85YuflZiR
1m9eMbP6n0dINP2b8ZlJtZ4ubS0agiOXKLM52hNH0ml2ER7orM8EkjNa/H46nnMOQqoBKjjlDlR/
BqJFd9Ly+4SrLtgDQi8F0JU4NH9F0WVv0aPTMXnkhdOhMXHZ2DJp7MK5apX/fkkd5Vw6j5hQm/H/
/zP7eILAz1Djk+Gf93ssTK96ntqGz0HvcQoWYFSLumwGFUpGtz6OJdA4y6O5H9bmGsui29PSrLAn
y46154LliEZL7LID7ppC2kaUryTmEwL8k2xhqjA8pF0GVxzYCLnflamY/WAfXuw6zeTKIpqDMW1D
JVhrWNf6wd3LwlHbaWeiFco06wN33HdyZ2UnGTDh/FFUZgknxJPP9dr9XnorVtM7dpx6UMT2DXqt
vJkxZaIcavGWWy3tYC9oosduvOz+IOpaTuBrFeiPGJHC4onPwE5JNr70T7Jkif6/DM45Fz88EHXh
zoC37DPSMOygJCGQrMwhW2Qar2uJpRSRZX/a3QgOSKAhwbIYLizJRbZ0VBOiZUDOJ6U6tY090fQA
SbA1xOdPOZ+qCixgiX263T0ohwx3gnzCzRQOJyV576Jeug8TkzhajOOr1LIs4OfaiDJbfkszEP/q
yNLH1uCBTzj7J4Fg1/pXoBDON0tUX8lNitoiyGiVJhIKDmM5fVReYTKuaiiYrrSVLhMNaEyMHjyi
vissMFrxiy1HtgECHqOPrhcIU/rRBpH8L5EkuUP8tgTmmY9yXVJpjQBC3QX/XQ5bdEBcDXbrhrwO
kGdhZQbbCCq8ohwMOOOiFb/RArJ3gl3KdRDhumWuE/g0Y1VtxmThYyOPgueJ4ZMuyyX/E3NeCIBj
q8qkSr6TbZbgLjnMhohKIQBx6xBhr0tYyAsD8A6x/7qmlaS8iM+Orh3SfLc0sPlZReMdBketBwBP
agaYYbGHRoKWic4omiIL15xcUkHipI07z6ljqnTJaf01MaI14y10nZpjH6rxxYo4SbltOOLOzoc/
2DGhUI+0p5B7FfGEI1z+U6y0oiN+KAudvIAJrvNIhr+Vun+uY8Q3o3rScMORUF0RgSDgMmQ4ss9k
Tp7cCxPOrQNYtR0JA31IgItjYslBRcxBYbmElddOqmWFtGXuGeKQHvhTgX2bK6kOA22T+GV8bQ9K
gRF9zoAX2lyzKf5h+8DDH8nt6NQGd8YzMRQqS8YlDVPjX6xlPykh11iciFN/ef2tW8HGBIP3qDcU
yoSuGANzEDQ89ofkaT+3afp1fvLMlOwuXRCuqnB/CpnNJXGrUFnid7Sdn6D2hhM26eW9BseLIUdm
/vNQkfZAivC+0dMVMHf1kPoePmEjt52SrjvaspRGs+wr2D26sZbqjwBe7mLar4I+nMLEIEtwgXGK
UMHxm00OYQ0Pg2Wn8MpBdKgPYEhYjerhlsxrtqLoHHelaOHH3vi3uxE6/fX/p4mow3uw3iZCOpvP
gH5J1PXduk5HSMEDU2p7+guJ20bs5I4OonRlprbq3eLJX6BJ6VNLE00nJzLwU/8lXXJLvhQpD22c
F0t+JNO+lIqRELgE3wV0ZdHbTYv5zsYi7+Dyb4hKa4UaAXHUP/24YsFxRWPH0Jq8PIdLcamenewz
aqOltDhxCZI7DUQgK6a4VU04c8asORth7xEeHOAzv0sAqu0VrHZ0VsV6Myk4BwX3EWlgnRxg6J1c
q1z1LFTLCofM7XcN28LIfPCqCPaH3INpds3WQ6hSPTp9Gv8ZVWNOz8ffnrNWAeB8RwqmHPok7jZo
z94YnN3cB1hLcDvzTCHMPPED/ewW/DgHNZG0ymDefoq9JMjlM1H49LiBTHEikDCSdV/py63PoPLY
K+noey+nUOgFc+yy6K//nQT/iEuL0IhecEjgB/DDLhmGvJciWvzW4DxR7Hk/e8ITEFZscUOMyQKB
sniAiMy95i1skqVEAPRvudk/JbA46Q+Rk8xs+wFktmhOs5spQBsNqLkzJrO9cc7cU1lR6+lbVCc+
PDkfnDuwP08B0HPlbBrvCh0zP6lqQrcWfwm4zNDXFXglPUR1ekXyq4ELyZ3nYo0SWr4Bgj2u9DwR
+QJ76KXx0X4RjIVrh144BibNVE57+MSXbGE8rfB6up8itxx3AvneIY+n/hLSVzJ0c18v24Nmhdc4
N9bjysKYBHyeVsNGdp/NVwU7wZyhxAJ3EyKMicC7mlwvoZEG9cVFj84NPTQTIWx+xZw/dAcYLJpe
KHdHgj0etgdY0x6N1VpOkADBR1pOXB3pLLXK/C+29lCYzOYxzHDswhY1xGn1H6idDEheVtW9vWpE
l8fiQ6RkPbYydBxeKxMpzbYkARD51h5J4vY/mL8ddXBjVrv/dG8XLFiEdq8LNt6O3NLrmiFuuzZO
rK4TNtgyzzIBjGYqUkzfzhDC45opKeL8bMRetPsQDI9Bg+9ouhGQQ/jgcImIOc6t6tEs+favi/AI
bu2qFGSszaD8aXgt5lZxIIf7BFOqxgJzrZDt9EHJYaiN3K09rMYedWHiyyYt780vi0CUCMSj8A4T
NmOPhYQhf+g+q4+R9w1EC8xATovJnJt+Wq5Sdvqsg55jrvXnilsRIS73z6Gk1AyDZHw6iyPDOWpd
BsFz3N5jc8talDJbIFYYxGr2K//RMF1ihcchzjPWfjNAs9uG6ut8tSqMJBoVXEUyQG26gNGzNGxt
P2UDJ2IDyEoQClfpoXG74sUB3DUxEsvs5VJ8wZ0E7VqTrfMupW3EuvUQmSuAZOpWHq+uxMYw2mbn
ozj8RAFXUe58PwYXzAO30QMw7WINl0JRwW8Tymkg1V4FqIPUr77v7SMAXHIensuaBdbZAZX+sdTX
WYsIpT1lEHYyoa9VKg6Z8qHYmx9rmTCazlGqaYiTweoRg0KKR9W/TIFqSitpX9e/awH4/CfWVEK6
DVDowN3uTydp1thg+qTwlNWWOnP3ZqTOxTNR02OtxCMpNjxv86bEXB2FY2Gf0sbHUS69pJorzKzI
DXdThMqsS7G91cFmzulYT7puHlfLWGlPQPM922nA/WSH10u+JOOYNQQnMKeoyLlWhDo54HI4/xUS
FiCQ9DvHvt1tHZbTn8bOfsKJRPLKGNt/7sMnbZpkS/43zjlbd61n4/373ytm7TJYm7Qfy5Shn/FG
hnNQuKunPH1zn/sU2hWy8TaHGtrIvBar7z51RI28A+CXeM3dZflTucNVphZCX4HJE8m1PNTU3Pcq
x+tKU48Oavu+VNDCdNkqLS5wPl6KqMpMXrxAoJAKnkZRqqo/1Ucz+HLFKpbhj6DDeCbR6jMMhruS
o1h78nk4UXc58cmdGRaQ3GmduoAfE2Ch3vgRnM240fh3dTmTMo63oofICzJfxDGk0PJv2JMMCSs2
mJADIV5GHTE7A2jej/DFT/Eis/yXtJ+GRpgsb1iqVMPs+EidXodqyv2YjGDBvPpJ/5a9Z46Xnrs9
fb8q/rqiGMgBG05Cd2SihiNsD4t4t5/XxCa9LUqfI03ueqwqDkUp7aiS/ZakkouwgT4ZL7AkRUtD
DY9BkPTdXn1G+vWQyLslG5KOgVTG9098o1/QKSNY3nKq15ikXIwQJOfghLCudFFJD7ZkcbSOKvdp
Pbtx4lqd01fQOcKS+B6+Vy3GnrmPNAfNqhuaGBrEG75UHsq0qFVnCphLozpvXvuJ/6WFrWpxaT2T
ySVCqE0s5Zp5nmfOXTUKs29qkaEXrUf/S3s3ZIW3M27Bo20OUDzxVRSFJ8RfGKeSB1bt7BqGEyrZ
Pgy0JnkclVisY4twPDp7+uviR4z3Pc+HiEChvJqrm8j/K3Gn7B9gsKlP2zan6/3A8yjpifCL42IQ
4O5xhQQHSbgT6hZK0Ht0GNC+Ae1eQfrkYfNKJ/2DHFUHCazdpXaBIKXAzTCO7qcdCpfFrvEjWNxl
awfqEyOHh7BiHopesPZxXTv+GkgQttMwZ+RtGC1v8ORdKpTFhvRYvZvkLww9VUGX4XvE05R548vr
SmDfnWNC2vD0N8hvkb3F9xRzQy7wfSWg8RvUN2HTOmsehTQbxQMcmBiZ4Qd4u49gkXIJ0WydDAWK
b+MhLab5a9s24t6w3CTLXbH48OHUahmHZjzm+2SvMNWutQT2lVKJGBLaiv/RzKxx6Vrew2wPAajx
EVrgt92+vJjh2YxbYM/NE8hlUctN456I/q37pCcaFhz6LKUPV1EOVsUJV/MDF+0SguhuYRqZYSu7
IITGz5RleTUOhesQe5Cx4hiNks3AHpaI5jUm72+S78+9A1e6MuH6tLfydXxOqiyA628wtTAb8owx
kvmmJLKJeBGsP7i//9GBEYn6E6mzRrr0rRM6mnri1CQ+dgl7QPe+7WqOjHWpMvm1Nt7M397/IC/O
UDthTn7FXtiU1I2agJHdBU8/dhClpoyrfHTF8S7FVdAG/a9nuBGCCtFOB4qwOXydE+f+PZcO5cG9
oX1nBppkgXEb/LsIgvw4UChkwWbAFq8TZZOnxyNj0qJDLD78UGWUUhGPGzOhrODEDJywqjjPomfW
ZMERSsgWLTQzuVVK6wmLxahH/V/kE2Vo2pygujjvRvIy1aHg0f8MaI+qlDKMknphjRMzIUUa4/MX
pCkbH0mvuyfDTZx302GyDqDPnj5PC73ILQH9oG0rZm7DRiLdHorMOUVGHjSWv8YTHE2hKr0VjvW4
P/QgJ3dBTUWxwm5IUIsFTx/X0VdSou+5qCWNRuO1ORSrP42VFAAZhsIdFN/T9LTOu/495lKl8kUg
sXsXPayQcqZnSAIXr7x4ilOUOgUgzr74+8b0a5f5Hp9dBmiXZ3Efksbk5pgipIbyeNnApnWaqHBs
wcOgNurBlzlS3vMP377zAv8R2q/e8zYBQUC9D+WQiEVBsXy2veU975xXcaBoa0NzVHvdimmV6xy6
+5Vm+ATheDeeYQgvCSyXSZPeGiMgGLC+qNPX4C9lLfI6io4jPrNyPiP/69k9XKtmCv/yOhoalwK0
Lf0Lvx3YtyP+y2RINVuS2BN3fxCfYRP4jdwSqTPapkm3yJUdOClYA8bytaOhZkQo9gBQ+kwiYgQS
ONz/gcNB95cke5TFbejdpNZa86AFq4UHQbX/VBMpO4lxbnyboLJv6lsbrxSdOFGPQYsM/aCOedny
IAfXxsKDofIlMRcHgfJ/LBdUEG6i89DUl5fgyzNvb7gTrw08WR1PNGFDFlIXdGTrtJqmeZUmfPZN
qGw9MuYGsh9Hxj/GUfHqhdaYrmNuuW1LDK38sCWonDyae+i1mM5gq6nCalhdQIKvE3SRClKQmqLO
ocJy7Xh4KWR8ierhHHwDotr0pWLIK68y5Vk53F8uDd/MNmwqqa135/8FR+Q1sqc7P651hFrLceE0
uuwdDRyW8z1AQqyyKezFAagMoLhjHOEYmgEY7bwuSAvS8apxYS5Ln0GRLJL9M7f5NgkI2UCKs3Eo
6Gjpa6/szPPRdHm9DCY3shhjRfNjrVRu51asJY0jiNMbWP0z2Kw54GHXQp1Y4HJLjy69aGhuEfCR
Luk3by5tgi5gUiHEqRs/dSGhLowkCoYIPzh8eHVLAgETWWTV+qJxiBDryNdkHyUhFnXcrP+nYkS6
kQYZA0/F2K9ERhIcMAPBA8+LPL9pBc9O4mqq0jegzDxEZn7wMl0Edx3uv6CJDtxABQ+Suuc/5kTw
TST0RVtvuIelbE25DL7tcu4rABUo3VQAZy/EI+a5FDeUL1em/e7J+zWSOsSiPdJZBTOG59QJp94p
TamM7fqDCSI7mwgzdJt/TB2iuyR/MbV8ywSMJdhdU3HkWIsG6oiBr68Tdryfw0SEk7ghyRJFnoID
EWOFNqQxcxzPFfKhm/FjClrI0JyygXrkknX4IbcrFzv8JhVH4OzoKzzZG7agAYHIVa4OikL0+aJl
1UovS0fysq0wo0b6LtBKYFQRQQ0yxZa/nGhWX76MA3dPyforq01I+mLnYo77PttXpC562i5ihtXw
xvO2shRgO/QKiYSMe9nJ9VrNCJS+yWKRoAKdjQ3Jic1x9gufGu3Zz4R6b6ksZ2v6Eph5XCLiprOx
BAOrWkmslss1rHqXhAOL5g8N+5uo14v/ncFITnX9Ee0a+XEAGH0DN/zO3Ffvfz5iB0QlHY7tgEJx
VBxWT1Ib6oZ+q2EldOFtFMt233c6IULyflS/P1ynar18w/IntHrz/xar7gzMjIElD3+gPy8DbgFH
G8D7GZW+m4iku/SuTjO191sZ9OTEmukJ7fLtKgAg+6ei6C7AHS8Cxxz19f1/iVAlzhvjoIb/UYsC
OwkTYd7VtZKMWgQDt9IM9b4iQcPigI/lgTum8rMjs+ytTucjy/oNTJMT6E0MiDRBgGG4H6fatBzm
JKXDOdnTIshJ6QArYnVfI6cZweei+uE9FndaifuaSMh2UvAxjzj56PRe2BtOiR4S7zv2gKDtqzz0
zs8CH8dKuIJbWE5sYVKILztEHcZJmFJlx0aZQE0ubUCIq7IQoRUVWpXxfCXERCCB2GuDhLmgMfkf
7bswsmywt5Sx0TPTtGW+ocy7fXNvvTtBPTJtoln5aBzgNutpo9zHh7OpLW6aOt0X9XDEZqbH9Q0C
xa/s1QcVAtpzITenrOKTI90VendQK2GkQOEXkhON6Z53MKRzUKlYieN2Sk/QrrmSQwxXdYYKQEcn
U54y50bDIw0p5n3d91hAnI6kqoASQOGmjNSRDFOrG7oeTZip2YigVUVuD7CtiDPaqdU/jfRa/6xf
p7cVPd9lS1dm4mwi4+6CO9pugpRh+ZJlj6d1aULexv75tuc4R8lGO1fQ63+0gPAeqOoAl3tERBk1
aZ4/F+wH6ZspvAY4G8yuy/C6DBl0SvW4EPujv6lLLVxTDUsKMKfhnKmicKUF9nKvQMtatI590Ah4
EANwhY1dezZD7q3dyfKVfITaKaKz+R/PJM61iKBJc5oLb0XRE8XT/cEU6MQ7ULWjnCXDY2co/rXu
IC+MqqTEDhRoLmjX5WPgIt1dct520lSz8spoGdn3X/ANszee4bmu4yeLV7JBq0CmNjWQZXnQzVTl
wnbRX4FUUWViB6FOB7YEJEJIh7li9bcRP0SicLm6SMwKLg4Uozc89atGS/qxQrJ3OVK/2OCuOPAS
9+LILclB9Zwmri5XywNNWSyUQy7FrhTLoizNJM/Ub3ROFkgGzEwpFgtpgGQdclbS2PFYLhWMA7Po
k/qPQQYqY+ZapLdp34kPN9s5x+3Dr9HKsuEjL0EYY8KuJGsQxQURr9FQmmNme6g7a1BPs+awZhQi
K6ZiB91GZ2lNyE+4SyA+ucFXaCYoJ31lSAQ70GIPnP4ldtBLQtCULP5H0r9se8HtR58fu7hbsXEq
Alh/T9PdXGOl1dQLEatjlup9/K6vZLvKUzoW7xn+LBm+WwXFpIAQM6dKAH8ueG9C17p34Kra25IC
i0aFKVN4skKsgAQZlYGWf28IcKKxkzA6U2xVNJJuyRHNIfs3PDNtO6Z97EoV1PxPRWr9nolua2ZM
9nrF3oYA69s6yO/78pGaS1zdtwxeMg7Jrd4GMYqRutxluB/SUek1KU/t5dWmQ7PYo2hijCn08Wvk
ATZvi6icWJFhcx6eo2iC7UMpiB9toQuMKzbnMycy3xBmUuQ5XR8sTYmIDZqTP/HbZX00mO+BNwZN
TZYWxKIY9Q6CK/wjUnmaCpgAtXfkqvkd/JVz0Ub3Gc/eaj4XorDZ0RURUPVaWp3bLc2e56Qk87fu
luMj83ZjnZkUaod0MVJR6d6pUlozitNH5kxicctJ3onlFfSzaZRif2VdpCotQIPTm8fbh96eoYmT
SrGerzGeVFnVBb3cvPgRxLiCMnJL0Dujr13s+s3jkxsB2Ep9tRCLSFHtLwffFflSB11sadbGoPTQ
bEUW9nHuSOo7d2PGVG73kj3DVth7W0IzjbtcdxAM7OEqUzMOd446Ol0i/rgjtLCo1CZlVww3qNVA
GjKnHM32x+GOdFBbu9SGZuyaYK6tnRJ5YPDyg+N/yIgUQuYmKTo7IfZB0wwUojFB95RyMLPH6Qkp
fkTQPSLmSldDuRw/PnGyyJta1Yz96ofUvoHEYP7xPjWdD9Ut/ToAPSaO1hTlJDuU7JX0M5BAmaS6
61agyVy9+Dm+0XpEWswFTNqTQAAr6S32QIwf2F5YTA6xvYo4YAQ34W6gFtT/fE7qQMCc02wP6Auw
vBz8j+Ju0p64ad1cte+/aEKRpCczN+WBrFhlMkW9n5kBNRVK5xjgqb8CeW7SHhWvQ++LCj6taWdK
bnNteJN+IUX3qmzrUsrYxfVTEvdDckv3AuuBAdvqNYkLY2YsZ/UaEWbCnqDzrCzv9OdHZFkeKhFC
LtXst/oF5jkjfgdzpCCq7m1iQODu2kZuOyb4vYkA4ySlrcrHe0DXT/q0z6/PFtOmKoElSgQ7zO7H
I5VxrCeCpZ8qqOYMtLWNTxAeyGcuk6wdtqsGOKTRH1l+7sClHEhyI/BOVthk0HPPshpeeUpqo+2g
iw7wbp3CbzL8GDwnd6MnpzhMpvbYWnzsgz8eT20YkIL0nsQIw1HY3x8ucpx6d6vvOWvVyaMs+NFv
BjndE+b/Qhphf/VZaCVfKThusiuHbfMWNEJXAnx42D2K4nw/Kjjrcpl2ZNaVBGqVi/umzZaVDK4Q
6yMCljGo6RW81d/HrCWLYLzbUaY8S6eUavz9PVgLCOQ09RiWZUC0f8aBbuA42IAv3w1tHianjmdz
PMauZYin0N4STZimYhLLiBwiAXdpywepsFXRFzk7BSL65iX2xpp9hKzVT80Eyf6YXdqyhnN3PBWs
EQK7JqfceW1OLMkA7+dAVdwoxlxcOUVGaJmeupUyMmTLTleee8xeWKJuXT047FAo9MG6R/gUIJSW
WT8R3g+lZSe+aiBb1ryT+ROSFLIj75CirFmNWCrMnmjYKztTMcs/nT1V7kyWhcaqeeVu3jtkXLbl
1ZzDuO9LlYY+OB5fbZlJzI0XIRn3yzvgA5WHXI2hiLJPSLGUIrnrZY6/+WbrJnn2awakr0lcYPg3
HRUfFnSDSDxVjbBZM50CqkJ4U77OoC0KRI2ctlIlxlRsDNStLxTWNffQ3wP/ilZFnvsmpKTSKEYZ
XKZRIPCOmAEw484wHDmJDnJxuhRm7rbpnXOq2nSpfD6icijFvUDlnPeCYcUcZgNp1RxkG4qfR1Ea
IYJnpy7kCppeN+2+oZABd60+FlzvdJ66EMtrYoaQkUzfTfPTArdfSBAyBD0YYBzRPRF0UTTbeoLg
Hye8Z2k+217QsO9Pmgk2Ee5wQPHlzK7jefaqgZr+CneSisltfujqXkcGuqp6l5G0m0ZQElXZYV8Z
ia8yjebeyhVrRzhzpKWls8sDXFiCD+k063I/tfdeerqlZetdISW9VTcOmDMLS3lpOVGskypASwkc
FBmQaSU9eZF6yCItKVkOmXMi4f/Z1JAMJLtzrJA1h2I1cpY1NWrMtizcthRG6PWMCPLCK3CWVMFA
J3Buhx4R6LnXAx5UT58y1Trr9qn3v+x7obbFa/sr1rDNz5RLp1TzOm6NlcJ4AZmCVhQdY6SqipWX
SBfhMiz74bmcM5UnszZS+mZzEL9xKrj8A7MhBgOP3F/vNlLAk2iiPtS+69rGEMS1pwoMnCB6rgt6
QS1W8T8JHQEn8MUvnw7yago2TneBU1Zc0Vwlds1642xSQALm1LevmCvDoZE1xdIiO5KbuIxXrIjH
ar3t3Q4IMkXu2um0d8WjLX6y1NpXZftcuLtDxBZYEDAvvBdZD/Nc9N/Urk4GlRNUktVlJ1XevJHn
JchTnDuV1lyfUYkOpdV42jek12n6qv5cYdLSvIzGg4vX4QS1MDWNOvFaccK4iZx0y3Bkl32idiPG
QJBDXsmbOMvnh0LQSRPoglIBSQqs+RVEGlqOwuXFV1sD25OxFhffG8w/kGitrDboC+WcE5AGo/LC
B1ilKAQVk1RxLNibpOJm96fY2tlJzRudYByfg10wPrMGa6qrKjFDsVwC09vw+ZyuRgSCOnWr4EWM
CWC/QA8dRyEpRvFjrEEFWtToEieOawsoFdqVnYUBftpEuL3Gi5ss28csP7L1VV2Vl+fsAe3Ou+k1
PzseGoMwS51WYBYR5RryPxDBiDlI+Ls8jScbZ08FKfzLz2diaxvKIKVq3orr5bIJWr23AlnBYvoS
FBChcYN/YrShTVMf1ndJouqPsgYLOJSaCUkoLMFZsFvqe/CzMtV41Efw/skCYMMvJjFxVtY/mmx9
WjiSPUE5n2NrHoHUU3JoE4o2d53YtcQW/P8yFFLU9bcf2/AnXEu39xzYAQAK23Bkxmqam6YKH+cW
1mOoEKdwRJlUTr0nnEH8dyxL5RizTInQMQFdr42bTOa/pKTGikuXYVHfem++FsUL5ObBLiCUckzk
DpYszZbhC9gLNvpyoLgNFueWMnLQvTKlVVGwSGy7fr9jGJ5nJgzN0wZ/kwfgK86Lon0O0jnsNMcX
SueSkmb+4E946gga/2oU5HdLPYG3ysP5T62yky/mX5btD9qslXghIi1xveQTO7t5uzEgHzAsWngn
K64FMOW87ZTfoM+9tye38dfLTpVx0Jb3sLPDs84BGHEiMbdVhizzLipt8iWkicreJp0fZLUTi1jK
ya5Wtz9s5kGw4/1Yv/uQ7inTiKAy+1OYxhQjTHCzyzPM4k9ShU+nndvGmG7xb30mwSpGNkh03reW
a86oze3o6dM1+UPe6rclFiyKGlyb4Wug6IIaN/9jBSM9YkpHVVVONQ7jDAniyAxV4xvbZ5ohckAD
APA6EjdL/aYyZUWDJ7PVK24Hspeqv47o3MY7mIhirJ4xURfTWXThdP+IBK8PIGZOjnOVjkSeHMd4
T0Q/s86tU6B6XgpOv/b906GoQQpDpKWNN/CDGuxA1bzVAvkQ6UGknZApc+00djUZoa29FRmsJZRU
goUxfM5Dicawfg0HtHqmDHBMSjfmyEiAbnzsixpVlHC570JUyFoVx4XjpaaJOCrGxHuKfcpbE0Iu
EdUpCzf9vX4pTJH+CBuERxLbXkZwYWMdks3H6m6AA6xC5MU1SpAB329sNlg+L8BUJqSY7Xz3Gg2+
mF+5ktY8Es70rVvWeRHE/8Gx1E6unZXPa5soZ108EXiojNqRkLqzeK1LhlAuRhBvva7NBqawGrkd
s1USbIOw4Xst4tpz/LC4TsBmnewP8MG8ZwBjVIcW3Pqz4tRHjmVHSlcuNXsVoGr5qMm/xrQL2eDf
2eqw+iZtC32muSCvDe7BgywNiE0GDalAZvBSXwlXBOI+hxnTdzu2csTW2Jui2SLBjw0d30VKmXAH
Q5xUFDX9uf5NRR968NMRL6QKMIS9mvMHVPQ2GGjhxA1a904i+3m8XoAsIGneadjrV6Ttpf8RjKoE
IB+j8F5w/YIGkuDk+H1eyhuLgmZxeH9A9Gxz8CX7wfuGtc5TevwLf7lWOtl26t8O08vMePcNKAbl
zHTAIpxvFrvOsINdd7XYBYVGSVCGKkisLbrpt/nYYSY3IKDq4uik81v8nUifHeRF8yXWZRWCw/CF
k4zbm1qYINX+e1i69WWa9CoSf6QbBflauwe5DMkSd4LPthE4panjXA9FkAutp4cgd5kHk/C2z7BX
pm3kLwM86WqsEUiWn4VJinJdHy5Ra3kVjFNBsKYu74BxvzwIMZ21XLs3m+f24zxT9Kn2LSZCrBdD
ZU/7bTnYz6u/MLQNTuwzEihfFIKPRNTzfqwxfpQEWl4ddSqeINeTnwt+6QGGLylHfhFR1mCz/A8r
b+bjyPE3mGeHZMWVQ9K30VJF28zQqiR/lx71NIDkF4+le23c+z7VIg1HryIgFoGjQnL1nBoSTcwx
P7nBU0BiqLzWfSBYSO0RoLIjbesxzNqHCiSuL1hWpDv4M2cH+pDDFErcAYwPI1/bDUQg+GrLOILw
SlglOV3cBDo/dPrQJtvmEKnEdDDR9QwBqiNsBO9Vb4jH4ZRCMZa7F8xWpjWnxMdHtsjUJ9S0Iabc
IiKsg5tGv8zHAU0qJ7y3JIaA6UXqX8wXqd24FBQ4UCLWgPnYlFZZ+IV3FKScBviUZ+ntH05ruwWX
qnfObpF1umN1sbAiNu5jqEr4oA/jC5pVwZxxEDWDSjbs+UdGd1YRheH3IeWmo/FugWEMDoLL9I8O
VG8tuFX+ZWbFOzRMkZSp9HFuRakIAFTb4AWBRJDTEBkOIgrrPfQlvCCy3fJ7G77Xdm6Ox6xP5qfx
m1EC7z07h9e9qEaOaELalulrWV+pDeysJDuJXHceWQ7dYWk8DqM3e8283Rz6/o3A4tJuXVp+oafI
c7GDwDe+KBCntRu0Pho3OE6eElamRtsMcXvNDDRbRcBVACCrYQZFlntuZ8FNP1dh1w95xlg6nD6w
l2Xk/YteqIdSa5D1IFd9ZiZ4KT9dwi0j9CGerd+uV/dm9SObX/ZY4eLg+SBLDTab+oJDc9vJO37i
UY5YBH8XKjgc/Y32ntI758cKoS4CRy+gB+mrbKFKFk1tYW1IUepNG4ZaamZNUoBp8Qa/xe8cchLo
vU6hhPqHnwWtSk7/bXVtq4C9FJ+8eevuOnCfGDBtkiiquJ8MQyEmohuFEvSh3U8JF+UfMLhhQDMR
ixT8L5FPwpOgaJtZRd7CplgFFIASPHfH1mkstCNZ9xVkClkYUuVU3mksSk/e85cU/f0vxuaf5FyC
rwowHDqUqcPPotyQqMgRJrjua6R7S8O9SQDuNZ/ByVRiRvIQbJ8Kdj3bm1IEfp8tB3CIddMguURs
4OJnCpGWzSfTvYO+qzl+/gGDpvEAtPRbcYmoQxjXLbSqq1VOAKF0I9lhVvZKWwPp2Xl34prcDcnD
Ebg+oZ5DpnM8XlT9ENjNJ6q7r82BZ9P5iszqmyF5NFQLDLpGIF6JZAZtxe6GO0WpEttbXpC33dFJ
elU/M4QXtzT1EM9KMDpKACD94/l9WZy23eX178LncvIRZgVXB9mXxLQI76MKz47KRRwaiciaOhJR
xv20mdGqDPVP90ysOs/EBUYkYu+gGs77qNFus7MH9Fl5w2fLPYD6/m9FEpkz/9mqU9yfU+UgcuaM
rCwMdhOq4KY6bS7CeD/D51noBuwK19QqhZmdc4/mYtMnL363ul0YKOhrmPjw5x/k97YDiFpgLK+7
XaA01XvElipG2xza5cS9rzpqbyXNljPJH/esCfQfJ2WRC2Dbluv6kUMM9mQiMX/pUcHteR/BJyxr
Znmq+QGJNpbLCxwp96wSjvod3nGRbnVZytG1wzUUElAeI3WlaReG4p+mqr+K12KGbeSSckn/v+7Z
Wn9il5uOBbIRbgg2vUNHe5LKC5HmmUdFY8whunP1smsnEt3nMC5kLIUTAlRbDbR340voWfPQfdEF
BuoInaSmL9k3Z8cTqoUJq9DqZmVuWBnKYp3NII6XV7QNnfQb2Oc2foXHK5qCVj9bBWDRC4sYsDoS
tOM8JQNnMxwcKCG6S5EyNEQBmJac/4eVngCoivrzvFWIBSjcF5Z4utc8JIDhsSTHhZoYO6uQe8Q1
m21+URKrvlnYZYFMqbIDZCy2cU/z5Vcm8YwVnh9U+nxnk/dpu2VR3dKjRNoONB6gYecKh9j2EvcZ
vdJrhP413mZ/55ozMf2Da9D86MustJK48X7t/M73Ie+z3e1Gv3c9zG8fvAMqp6C4sZ8GkimVKGID
G8npJmy0bVP6yexTLhqSmi172h+r2L4aY8gnZg2ux9DBO4A/DoM7sWkUzwFVFL9/WdASDcCvV/9M
vGS8BrbCCvKlY8zUVzl6Af/z/d3Ieo/D8EB4yuCwoRC3StxkgOKVJ1SvO8VO6JnK1QJvnm8HK7qj
viBr087o2Z6toM8yP+MGuL5mLVBTH8+5jYZ6ydxZU5jhjMzNC5km59oqLeVTtRlQSHkzPAouID77
Xrq8Z4fQzB+Cq74dvhsjgB5wWkIOh9ah6D2lsgBik8+wTtj5rWme9YGKYTjYinOT9qr5K+ziL4Pt
S7HheSAqOAug9cJeloWxRe1j63XJ0dos6StskCfBV2ob0OJA5klphKCoGpIOpH2BZUkMSTu/OZ/0
6FFPDsmomkMdfkM3fJ1mRwiVHZMlV6FQSdZgrEi0xvlx1nTFTxVf2XlGHCyFGoXwdy9cRYWiX3gC
2vU/7+6JBXhkCVlwUD8bwkkRRQXQy/F9HHn9h1hxoi7dkZNLJ1q+h3jfeIJ9O6Xi+318Tbmf6XCY
XZ1aNnQowMILMmQzI8LlxSyk9kcI3qcRqRx1aoz95JLUAgkV1bQ2TRdFJOk3iw5oESlwQnZt37M/
wMiWL72P7mlyghN0VNJuMTTJNP1ylr77ZwqYBDM6gUp/wivrmVT1TxnAOIkYDKklqC+C4jNWL+21
v47TdDEGwijO9Uixc/kbVypL8KcHQwpMwj0yTsmS8xivxdesBPO+5bGzhWeUKNuZKzM6hpeA33Nh
obG04zw8EDEiGg5iHFjggljXeMwtM41mCL1dO+3BmUWG1dpgqcRw4AG4X7iJA+fqzu+LXIWTQImo
geG9zAwbzBOLNQWu+QLCyrxUbajswGsUMYNqKd0RQzd/Y5J+f1jsjRrXQq2hX8/o7Hj0fvWkSVNC
7lWEUwE6P6juabGUskUKpovUjOHY7ggZJfoXwR9F51XJE9I8XwdzFKvcEKlq8QK7p3xPQWF5s8Gw
xdZmPdRR4Uov+BNf/JRWzjMtWM9KMqctksP34umXF/OB1hxxpeoKZdQA9GTmY7Free6RjL6Kgz5w
sF2qgLMjL8u9nnxkLq677lZptFdCB0CKIRPgVfAvdKnTToAflqbxBJmo6Mi5AhZrLZizlcMN/MsE
A6fF9Ze1gerN+vOgRhS0p8byzv9+2Cz/TnG7tT8A+thYA19JZICIQSsI1r6dxcZETQ1nTRPGlzsy
t1cPZIIDpM9MriPF738XIFx9uX4MECFCjkrq2uqcgudX8HX3AnjkG3afDDnga7Ud2Y9jsVqjeqt7
4GwBbwvoE6ObwvUfPw90fowGhCdJmVVnZSraX4fB1/s+Z7OUXUoAaSaExqAICFHbGR+WZ4k9OnMR
raHuUugbis8zmLrbd5v7f7ZCnr8wVSuQHR9dWkZwfdUuV/fiqTPCssgk9ILzxWyfSsWGlA4Hw7kp
HdsY/guFiJELuTcG4r25IZTSHiXHW239UjjNXaAxM3lCv7fVBot5bA5xSlome0oMp0R4qcryuLOd
YiDVDpmMMPzCoNSpawmBx8mDODtyAPRFLVR94aakHTqkbeMnZ05qacI2PCm3n1gp+NBoHAvk3nyB
+PEi+w1R9Z/cHVrLl3vh5eSIpcu6DltLrSXsppUwSXOKaRI7GOFwlAA1aV9lMUVyYfZBJhi/z0LE
1fTep5UwlDAPb0eFxsVqK2rxr0P3dn2vDA9sL7o3ptcsTulXERZBDPn+OwFAM3diFz9g3R9edf2F
95B7W2VqIs5DjD/mAllmcMpPkPLO3ee3XazCmLDZvG9SecuwNNZUx4mrLtTw5/MLEmZj0L6DYpr+
nFGrege/FTiN+Il27LPnHCtN+clfmC7a5K8B6R3nGpmxdv3mJPRi9chmCd3AkFYKEbHtEFouABvN
xdZjLOrnV+OCM0mu/u7fuWXKiFuldUfmhc6SOYB2qCt0fFsU+ym1Amj02LezqENLkm3m27ba2KcD
X+/deNuKgnRISS1PK3vXLndR8iLmv1zkUoWplysoqknzTUhPnQBmLXh+IMWcShabJLtQY+US/vbt
usubQX2zjAoiRrQhON0nyy8/UGAzviTTNwkx9y9y7BOxmnurnF/QA8cmkst2sFXCDOJij/vuSKNK
TlDO19SPuw28IkBpWHgYaEE00wnUBgp6dncq84YAqoWD1TXefqmDLih5KMaPgPeVLnX7W3tLWRWl
2ssZ9m44Q9YRE2pibKdkejBvMES3h+Ev/QCCkOIS0RULc661o2+FmJa0XfrfSFAlsEsFV0XadEVS
G8OOEkQWdULTWVEjiGTpWdcILaaiU8mWhaP2wTfTVCTzXiOMKtA/055TO5BmWIs1cRrW74ywXIsO
P60hfpnj/RyeP5I+0N9X0nQ22kVM7VQbNJg4YMeb89NYwe7Jz5NDpnIdT2d0fJQW38aD0HczY3Eo
sa5pTeOe+fkHGtds71wZEH+qt4N/S7rvuDOY8HwH9+v59zwZrze35bDRYTXZoGZBYTFCBD6oUJyy
KX59XDArhJTwBz5ajjMT+d6Cy3aTSmFv/75nb5y2KcliUV9r+KnjDWvztYc9E8RwzRAuxcnttCfm
xLfyBeV+jMC6IXkMV8G5ErF6uqIBDdo6SOEaEafAAEsApFXPKgLhb0ndB0OMXwVC71u9wLzYO9RL
mLybFefS2uYNAwfy5YTje0zJpb5f8kBCQGyaDb8VUol5vDu4K4metJjH1DmhpOFnFu2O09mG+ilO
MxYPsjHdbbzrZoJsMNLj2twDQXfWdqrWaySrTaCYFcQrXrNbEq417cRsrnf5pJBnQ7uclvAxAYw6
bLHKB7NUjJD66GgtDFdB3zqYcvg/C/CnZwxZn1udAsxQpAk6CirwIBaijUJc1hgd7gWrq0MGd48P
blP/BtPDe3vWI9sydESgunIei/DzWgE7ZavGYJ5CQFrep8QJZao7BiKgiy2Oeq6NtIoN2o+lpI5E
GZ1mNMF3F7xNEGgvwRZJSMm7sOzn/+KOODSkkd57oW/pV/7n5YO9BicWM2yiIH7A7u03vLY0Di79
o8u7omnTw4E+iApvZPb9h8sx6x3ZQwm4MZYFJunmqpvgLPcWjz14t+RGsho2AuD26XFQxzjSx3+U
UQiz2da7aOS//eijjTR+6dg9Xvlq6UmBAFZafVB0bbooAginUZ/WbchZ2QTjRtdLuITUAQt6G+f9
2ApzUHG8nCzuTFFwYOUvQ8+1bFEC+w91tSl6/UgbjYOE5yRjnHAD/9cgPuh+dlyRUs2/hPdW+aDx
iChq+OPAAQde8hAOy4JdDKKRBZ80e7jtkSPGuNoM0+JmtDgGY/pVuEbs33KNyu0MkZGHRn2G11yB
HoBQxL5vEM40ltqQcGn5QIbt+lQE3jrEkyfOVrtIj1/XAj6R3veS8P6hj5RPrSkfgl2wZbs1I/tg
wgooWVuf1WE8qpu0DrH0b8LOqK+XLJwCB9Xsz4ZYwd5sX1xGSuhkBpmuodyKSlajXhB4Ao4xXG+W
Gx8fmcRHkGg+Cag8t3p4LsBnUZrH7rrNabSy5iTS2OICDeJ2bCcSqEAqTNQMeg4NOpI8JyDW3GP5
bBtAHuNNvTGoEcYQnQOnzsYxvQhdyUxFuirYeiThQXx2zhdT7qB06qx2V83dtDrsJmB8gqojxt3l
EF11pRSQoqO+oxXoguGatkOlL3R+OT65J92DT30pgiPVL2qPbTX4HsoXd/r6OI1gC/9BMAzULsQb
O8HKvpBSooiCGtXed4a4kch/89m9gFBY6/v48fo4NppAxWnuYBNLKurwoBU+8r7Ildrv5oy8xRuo
BoAf7asM7SHMIhrfBSr312CLfP/NaQG1A13ZNFjT48YQSc9WAKfxYWSYPVP3j9FQ65hirTs5mMPx
Mg2nZYMSV2HO4AjUkmAMifaU41gml4Pv++FezNWHsxET836O4Z4H+1KW4H4Z3bI9VzhCGFyI7ZQq
kU541GGAfzgq+cz8vP2Tfhd55fY8pZIFd+49c5CJPkmkwPk43dqVEp7aY3JQ4wGBjge400zYazXB
7g21q70gifgdNpMM3wXdjFRWNw3f6mIn2KuG+8zE3AiqUAH880IwbrM7TWWaKskD4EA5UiXRZsAX
9imyYdFledqP54KAemSbxRpdWey8dpQSL2sqGsl/cXuslg7+tk0yomC8FHswAYQSXC8EnvnOKHkv
je822OtW9/ICfSMjn5l6ljSbfRyNw4aBEst2NJW6fuBKxcPReyzrgX1Bjw/VZBG9Nd0MbMZh71Pg
jqmA79r/NxgBMqYNkgJFLlYdX4lMcpn9qaKbLgHlwM8wU4ntN4tzjBQGhFvfNzAbChzNzOHfB5MT
iyKiTcNTDcji85MY5FicEvypvL3bM9heWtxHq3GCAXoMFNL/Y7IFqLQ0RlLNKf/rzN8yD1F8Tvzs
zITHUNgHSnf86dh7ArvwSZF8I1MdYpEvKMX5G6Y8Ibzm9WdX/JRGMRtm8mC1s7t7ZGoO/3DiL3cB
PPD2EgNdmP8HG5QOC41uf9WfUxiyltJF/QUdB5QKgmX2w7ZZgXCkEPS0ZSNPz9V7w/pW9xuusweF
IQ/tZJg89iSI1tqzm6Vsrxgs18h+8huFOl6RyktFfhPQpP+1C9zpmr6wu7OVaOGZz4yMSdO+dx72
KR80cGCUhLDsIIIe/ekQlByTUvwbti+PAqceQhn+3JtaXbS5ezrgeCWiw4ziJ8Kp1czS8s4Ozncs
Ll1Dfbeto7ycRYuM+Z8o+dz2LMOG55wo7zisjwgdef86EIZXKHcK2bWXlHi1DeGcmlZ1qhkCPBC7
3I2iT+UHGPCGY/9j/qXNXzLNjd87GCFeHFFnb2clAsNJZDoDSGGovXaY2amThMs4Bu+sAkTuPJXL
yNdzjW4TP92bat2o4LFaF2CsJt+wvVuV18GVx3hq//0u79t+zlmHgyuz4Rw07MU68PDLu9dAyeei
UKIpNGNWX1hchNTjEIUgOspI3ozXud1YeROn2K0e+Oy4TjiWy2N1tPZXob3nhHiMBSrsXnei+5WG
nildOkkwvsIX7wjluPnMfJrM8pR07tNBepsneYyYyuTg6B6adftcBzZvJfmj0+mIqx219NVraHTR
1qhNOdes1ZLnpNU/8KdVSvuwpwvPWqBiGkd5fhFq1+lcT+DnwoB3ZwUwuU2xeADWT+xacZn7BDuo
VUaPy4dhzPrWx0GVdS4cXkAowjokf++8/wlVmbKK1EZDIz339MY65p2CGgVs6zMGstXfOmWlN1/n
E6kasj8EOHoLEK1rNPo50+GeBxFHne3fmcB3loBQeKRxcw8Sj4S1QY5X2e26RmGDthuGE6oCpgU9
WEIviN5tikrIqPa1Kqz4NQOhutAWJ/rE26sxkc56441qzgfiZzZ3ciuPayEJtzjw2WiyJtEK3/gj
O+sgYCY1YAjNUFRQnJFK0RwkMLc1SRwkIoqRfBjPhBtdHJgvOpUhl9Eh/FTG4iO1l4Klijhx9ulh
tL9L5Njf8yo2Euavs/R9Lc5Fm7r7KB+xoIH0+wPPvxKTFZxg2hs/yVp0HXbZbbaSPwGDURvLNAOM
gvSHYscKg0g0BCT+zEC0P9gyuHeP2nBE5a0dxGMlofC9tIvHZEey3BXKuhEgfN3cMENXooyb56T9
aoiiVO0W3WJDXoEkc6RDj68Lz+pt+8gS7Agh76wYnqdz8tDBcW3Rw+nbCaqMI0+e6xbKcKIU6BK+
/zi7Ue3ekbKeJAv1ve2nPmHhO99kEZKKTX16tSkHcKibGVJySewnvH6TYxFEN5TIBMUvR/BPddrD
sM6DzLMmejE+Eu0wvDQYMXlVsmePD98Lcxh9BoWtg6571iWpmsZ2P2SWOk8xXhd4mj8CwuJJRF8j
9eiHB28L1rhBMK1L8rVSa2oIP99Yplr2NXLdsq8mY5FiUJeVUp0+o3Kpz1kWcSvv2xO/hRFtTg8f
I+g4nLEqF1nwU4FwA8TfTnzt47U17AHkG46I2WvuIaQNOSHb6SalbTYvRRxfTiLW3L6Vrr7qCbsl
171L1HxAy97s041tWxU6VMOE0b4ODv9OXzy1zn0NV4p+Mo+KS5RygXClpFpOq/b4Dvfblt43oo0R
+pTLB9kYlHHx2jCloVoXcJsDcJb5jrVnyVz9zu1/PjgU+/b1mms29QXHbpu2oV1VamyH8FpREnvH
Pd3yWflQGa8dU7cENLEb/Sn2G/GjUN6ou4fPiDwU/7dARykJdq/F6L/ya4twYz1ipfogaaT5jPeq
JqCZVfuTrDbKJJNmlmlVLIAueCUmKEHSE+LALJmFR3jI81X/vgt0wKZiIyQp2UdUYEWTV67o2Nbd
uNE7RGkOtgMJ8rarMzchwxc38zlSOWxgT7LiIDUeE7jTrg/PE6VF8DQW0y1laMbUtInA8TnTZiNA
gkiOXVOXsizaExWCxBmOUfuRuE3CBLnxZPzDsHFov1DG4KCu36hBbhtLF6cqcRus5dUuhUx1ROip
j3MDEggNp9bXQMjjHJlASEYDCze6e/fPqAeeoJbEmGcXtPi6jToZ/Y8Tjgh80moQBT1CuxuHqh1P
aoLbhm2DzJ6diLIISfjnLcFEdDZMv+M3UTjGTc51d1JNZiUToZVaZUhkajsr7F8RKFMDmHGRqD4j
GPEZBcmuIRriy5oBDhE15EmXUWp+huD2XecfjaUytnDkXnoHqFS9LQu7dYYcIlMGG+yCT7SKNDh+
X8uLeqVy9z+LEx7n7JOrl0+lSfAwRxUPSBiJILwmJjSzgpZPUPgiP/9Ih19J9vkuE9P5E2UWqU2m
nFhp2jRy4uzDcuNnB+SUTTsxX3Xt4wjyFebUXH976fOKB5azspOjlhhdPJnUYHiBI+wRVUr71bOj
NnR8jiK1dCYsnQOxV+LMSKt6PQ5cmzdOsAna/nTdA3N3M6KkWfBN5YHasFsZY4tNSQw9uLrWYlmU
eer4XpuEwn8/MZb5BJQb17xXLAgL/+AGy184M2OasC69fxCUVXD6XC3GzSScj4CRyXhJuHIS3Aaj
w6sZMlnUGQ5jOXMlyqD4GhOcpFsKWorYXK6ZQmWTfy6N3RSDq0WVrG16ngKlCgNRKdqS8JLUKKwS
AP/4kuZWxH270VE0rpJfiW3I4v+LgbQK7xiPhDtJYyxSRA3E+WHn57QJwaVDc8r1DmxfHovLw3EN
D181yfIPmf3PLQg1hrhRNKmXQPsseQev2BTzZzCjnJhM06yjOUNQLmuIENfs/yrcFMTQSMQmPnpj
z2abIMQR8KF82lZK3t29aOw4WLUDZ6ViKwc9gBTimY8hyeBXw2AHSsyyafTwPawd1DXp+WumxMiN
SKJEwtAMc80vHrTdk7U9QKoTEYlQBXNlh3tSNLUSUjkQIDTi7CIrebfG7yGNqh7JAJGD3w1LWWyQ
0NNIMuVy8N7B2Ts28vWhajo+MHWHRV8ta6X6lUHuQkCIyihhPWjid80RwZ+ofQpnWDfxuqeiOWpp
TxPZ7XKbNJXMnL+Yp8Nt+LRtTf4qIPE4yirfzQl2iTKXAiQwadzWXWnaijeJCFwpJab+TFLGF7VX
fgnB3z0MYPDZ8amfNj8bWXkOxj7373VN7sTBcZb5IgVul2x1sVEI5lyvq/RHZ2/ZC0x2LjpK36ty
4FhsIE9D0tz1TbKS6EOvC/U2woh3Jd2yS7xywhPTnGTofLr1exoaVicoOji2h/Y967iwLStEqdSz
H78joIvc+tzJGZWo4p8jL+OOxA1TcmrE+8uRmhIsABukxuveiVp1HyXGv3Fp1mL8rl5ii4NGW/46
WVqvGX4Q0cj5NqY8/MeBHpekS/MNPKGQapp167K7135TZAlWouHU0IpAzhSBxQE4PxPkyM7Buj3e
rOO0GiZhLmR/LOFSklNpAOjtFGUO+Oc0xoGyHKqmimjtqJ7qtjaEUuM7yvAhhmOwNO+S18syDxdw
x70SNfP51/xKJjGb8VK45NzH/qTtBP73nA3SVcBFLnQeDN2oHHYCpgMeLEHd8JHmZ1Zl9qXs3y1J
lFE1vkFTZ8xRc6hw0jDqCWX9BmRCqVYlK5ArpWT88u2+OuJ3oE/39l0LyP0AK1P0lnVGsP2jWLHz
aW6ALrsyZFegYYSdHz0umhRjEpzuHkUQctBsYOs2UG12FSUPkoW7ISx2ofZo3LKSXpyax0C3F/XM
ZLhMyX7MPUc/GhrZLg5Nr65pY/6lWc0EEdI19nPqGCCGYbsmXcVPruZ5oROg7QjyFhlvoSoBkDTl
jALbLECuNKsV1FjZAsYjxIrlsKY5p7ihelfmCWPIdx/NsxG3DbDFKpfPIE59lf6/E1Oce6Zvtzdv
M/zwSjsILwMLYd1NrT17wj6lXsXafVd44oj/pe8GbyauLuBRXUq6uaj5ME7lmZ+dRo0wffxRCcnV
s4ZRaoxl53qaPJ2VydK71zCuBjw329sivimKuHoroQwlWMzf6rRgx5AWkuLpYwldtaPqF7jjxwIp
4+8f59MMw2l5MpX2bQTJC90ErxZP1VReNQEJSH6K5EgOXj94SmST3SiR3A6TTMzOz/AAsuVFuXUE
cY5bVZVlAL6R4UNLK+s+o79pUsptbH5K+I0TACH0KNhf1jnU1iMn/BcZSEmjx1wBDpP+FkUwKs3e
R8aaUIeWL8x5RKCLC4zCrpZyi4QOq8vMu5Mb0gutfGRKIQkV9WqkhvwVYIq85AKG4eQDHYAeTQ3E
LkGtfQLDlCRSzFqAnmwr3LfUuh96LRKnMcuG7kQ+DAs2Is+pzusQIvVArMDsk5lAtL0BWS3hixmv
8s/VdqytDMF5gTkOQNH2e0+Tv7ik720vmHrt4JSu6DcK3asn76wNo9Zhvpu7xpIyquwiWeWmEHgh
zOK7xc00h2N0QcUVg0mxYcEnpiTWXeRCC/Lc156TEBqJXzn8nEdN1ahMgrEgjHeqzSAhH0qVdXlk
mz/x9tmdy0cGLkhqC3qPeqzXyQ4+W/y2Znpz588hoXZF6LpJ4gFD71LCshDl8ajbitlUPY+3LWwd
ER67V4dHaAtxgLZpf+G8POe+NMSy77u4f+Zivq18Eu31TODe51wE0+mM8pWXT0ndNaYq0hCq2jca
QB6Gaz81K7XewcbXSjNX9tL7R+dXtFQK2nXaJxQ85cv1ZQm/1+3zB7kJjuOoXnvJ/jLgrHTtk8+2
3HzydEyQUV+lRdeVkOq17k30m7sK68EErjOt0FaLcuHmBdLY+fBkVKSRGtHLz5GBOzn9XG9JpKG+
8Lbj3jm/TXMafiMI2rFBnVn8/0Sp/gcjeet3VOWWh2PLmXaQQnvaRX4HfvkdSOmj1dz2dBx89tas
O5Elx8ceA/uOJ7UEQLD/ishqRTn49s+RC7SMJuVH3n0PoRAhTgN4E5cEIzsR1kzqU8KMQgYxWZyY
FCw2JzwYHfHO8iH9pxlbrk93d0Y6feqOSPQT+zgIfesP5ffhyGUquAGWK9cDLNaNz1pbo37kPMkz
KNMOXJvb0WKaEmyzuOrdIBe4lCQGn2p4eFRQGksFjD0+yxZiXTMN8LxqFwSYWjuKI4/y8y3lvnhK
cxuShx29ReNDtsDlRr2WI/sK+PO3zfmiUqj1Dpi2hWAAysch3gPZwSm+3jTP+tCiQzvPuRxIWf2m
k0fn3jksTyCf/I1msCJHfluSArgAG6jUg0qU7CMM1m/zvGjiawnvAXHmkWkweCVX1Lx3efjioMW7
Xo5oLXw1CgyxVgLK+CRrkJFX27abo4BhkfAZOAetxZ7BdVr5qofEIP2ZwmDf531FDRqpd7/5psDA
EogQGpBmmG/ARbuDiNnDLTVDlCBluIWhUj4KJLqCBT3iy185M+dS+x9TmIK4NyR7CpsddwGhQb2Y
ikVhIB+gjsTPyJc1hc1UKrvb17q+oFZCrY3o71JgOYjqlt+8o9npoocuXnXkXoJyUO6ctOtKAUAS
g3gFBVUJPberR+zPbG2iJIlwFQITHZAUwoE6kULOUkFNw85yI8cabBpOwzxaosXI8tTAlQ+g+9h5
LJH3ot/heFYTz+GpbbklnAvRLnuR4NzwBaahufgTuhCD5SHtgAfq8ggrlGzRHEL8jdV7kEsNj1KT
u8TDPux16g3GnKNYmFXq+CsBXzLahEeZ6xOI5msjr4HfYm43b8XCXFjtdqFCDvtp7Sr6+kU3KhdB
p+S/mLr/2zfDxkXzUjmbqFhneQlxLR5mqYcONJCliqeuIKTFQmfl644LV3caqosovtddXR99+efh
Oqz0nOpzDTeo/q8kZs+gerc7ANNUGvzy7N22uCVeGmyORc8SAtlSskfEA++tRDQxF411uYOt7lSR
865XnAe9RlK3c+mTmJdN9cxwwTO4M/tOoM0Sm78fRvZ7UmYaYYNPMIJcrq7A3FbPm9NvnCcT84jm
dFXcnPbXkost9ToQRuu7jUm/VG9q0o2pNQVBWfgUW0C7UQdLFJmZ+s8gHSuxnodzu3euQ4Qp5HDm
9INCeIzEslb2QKa5JD+oPDmFfqzzBvaPd23VCnqanQxkpKo0EVVAZ174Jp3VSUCLkkdl5xdEnZGU
CgeTF8NSmEQlAWATPIi82lF+g+DiFFzf41TUJK+WKPAo1NNfEkyUDg5lh0mcOWbNr0W5WZJSWImu
nm/qORjwz1a2zBzYlc8xS4jFRvf7Ya8DiY5NHHcl8EuBDfiJxta0M9hTkEV7eqmTpt3DsNrI4LGB
KczFr+gikFWI2bFhmqRSIih99QlcmfyYQ+QjiPt+r75XbWM2ZqOxTUGCJh7dXS4EfLNT6g9mqJoL
TgBBSmXOqN0FdyzQPLXJwN/UBlIGSW+ddULt//ENMAXqdjEK4yd1/ldvfw0tALdvleKNZTcYbfKM
i6zpOKTV4IdZiGQ/GleGpAeCgebSpuyrOrwEPthbcp6u13aW+ddWnnRe5xqLHuAn9Z61WcRctT/C
QatDaMRmJ1OkwX4tBRDjR2lY6WtqWWac2Vdtp7rueRX+MOi5nDgGrOf+jahaW3Ut0drAwfVAC9j2
IwT5Qr8Bzyjvkx8inqaQF2EzMfmgqRImWvo+4tSxan6QPL4FER0nVgQmY4Qj2zRYJMdV8lmIHR78
ikvqK63PD3e+/zeJJn/wXKnhPx+PXrSrJ5YEQj/QrjWaOYgGTnxbfDSOTwqbSZhfq17iyT/HAFBQ
eQ9YSxUytz/Lwq4pAFz0v/jM5JKuJmHEmv67LOc8UCmJV4+9AFTAU6D8xKzYC/igw7XQrs9xbu2t
ST3rGShqQRxQh0tLvtIqh9WKsh469agviAeFDpx27l9KyPVnYrx9jFvN3pvTO6ogSnM9zv7+ce0a
f1u3+Y8z3mGfpzmBy7jce1OHYyyzBuYkYLOKrXMqWtn6fsRq1g2fi0u6Uday+gfs1HYzCGM/KE6u
Nv4wpIbmpAN0ZOmLpML4H8VUyHXqYH/Go/3Uzix4DOsCHUwVLX/6boBgsM8Tg6uwWXKK277SpsEe
5vszzFFp/gAVZe7PJUPB/aQciENUUlgSvNlVZUrp8jEDs8kV/bWkzOaDvtCWxTViDpPzoLu3SLpr
+BGeeUQrDiOHzm6ajimCn4qV7gCSabP/TYtyCkErDwwh25vtsr1g+u1ShRy9F2knsztU3q6VqVPF
8TizYNFIdkHZJALNLYlhD2R6VQBzMwNcbvYymz8TpGy1/9dqlgU5Z3DBJGMXrIV9VNznRO67MrPX
Pwj657PgN1YIVhK+7PEAj2gG493V3+q20daCP0V0UKU0CXD/aQWvHWgQWx8ocI7WmPUD4VkLxcbL
ajZkatlVFh5O/cKbZuVv392qeqz6vRTnHYq0kGk0XHVWvmDjSuIjO9It7dzBFWtJIL6w8b7K95jE
Zz9uMFW8fgfZDubG3/hpBmAFrCCP37yb/KjsSCU2eDzi+19ZYrgXzEUS7Awr0kNzcdQTyVIz8SQs
eeMCyjBQV+UbS1WfRI6k1qJocY3vxmJZkwuRR3Wnmy8AJ2GfNigd2NRidkD0Pq8NFOzcoLmcO4Q+
mODgxJD/3iTZjiHPgaGx+8lgQ1YrSW7SNkAoZLEu1WA0pAQ9aK6ZMYJKseeR9BY6Oam0n9NK+4+d
UtrSl9fWqvD7g9DhJ+ZFF2E05FqzWm0CDP4SipdWx61M5v7oF9sBGSXmuK9F12U4WzjfURst6Vlg
IeyZRc1E6ur09F3uaRuJ/wQw1cHLka9ET72ZraerVlO6jOaqvL+S08jxEAKCUK3dvSv9vUZwtjTt
axl1sipZJFx/XbSBe+VOPj8l/AtX8ZGH6YPZ8YmvIXnAPCcpwJoPqqnm4MJFwg6czRHxEv3g19Oh
3A9+eMzc09g7fOZVFydA0OLpce0Tyf4/WP3UP8E8QZ4wGCaClMjOB8G77O7MMVzRaRaWu5evKzub
EMMMuw5IDoCYm3XISqZO6l0hgTt1RnOpdBNyZ1m7wMeXlSNRZLWDMB4JpZyHZU/JtQdPIVEyqAH5
kWnHfpPzWiUlvdxrX7RW/cYNWWLrVBV0AzOl4JFzpmxPjSfIIY5RxQGTBf09CtLy8N2DUaqizmEX
1l+UI//fK9hcK9mTyeUmeco+CCJy5/EVFpJCdrn4seoj7F/Tv4utMthjM2rNvY99A2svREvZInL7
2SUUoF5BZzyjH5zyvgKtaioj311hsGCBUtYyWqORrmmVLwWXWp+uFtmFSoE9avR250Eyq1xbm7Je
4S+YAZZRPfbiSwMsP0Kzs/RmeLbjTpr2hux3fG3UHXfEq1od7oLJDaxlRDUPqkA7FU6dSwbRe6B1
8sLWzQqDzkuAWdl4qV/u7MQJ80WOyOAJBQKsnFKITyZwUFtzSTh0oEJOKlotGCjgg2hRHjB3OaAc
pZyw7/MAFrnr87rIBV6RV0FDANgJFpimKvYKm3HqAvP2g0DBg3N4kZBiVdVcQtfb+yUm7kLXcKxR
011PN3C89SVat/YZSOZXntqnRwWveYWVUB7dHN14wxhPEBz+fDERINLHm7B81Gpyc6eI33dZ7edr
61tM9X8+UwDzRfn65HGbOw9yeuRESiZE0TZzkQFhOUMidk3odzRKR/QFKaHVeT9KU9Z7ZLZsCHOM
KfgR1WxLc5QskG0oUGg6DKq4MQfmx9Wlh47gC9qrHlgOPidzJTaFJmKLDRLGWCoGVtutPT35UW8f
UY6uqMMPvfiRlgSWqQTdtCy0fxU/GRIaNCKrWsQb1b625rWi2iW9KmpA7gIbnVjoOgEB8poK9TxG
zGKLvvHmonyubBcfrb62BmWMPKHH473VvvETqz5PAQjZmSF4+yz33X6qaDHOeQ0n6fOFqgo5CBBj
ilSMJVdxTk7DsABgyeTknqNE0JcmnjIWSJ9tqNiCmmlSVHW4wk0kfYxkKyIKF7pNWH3RvKn3dfgI
oNInFhwvVbeoHnbCk8WxhYRbvm+f3DVL2l4D7vJ9P81O9MspjFgjPXlN8Sop39bQYVGoJILGlYEw
xixX5uNnChElA8IrweUORPidnaB5y6uvp2luo2T8C2hdfphC6KORP3oS3GEF3K0bfZG58Ts28d6u
tacmQovn+QOiSGvgkez77rOZlhMO1xjHqhS8tEu2hb12FI1vh3m6Fz0CR6pxSU0nfYihmu4geD9n
fQUpQCSc6UFktjiqlNCJ5QfzWb9lYE87rqVf49X8PbkQ9+iCvWieZHodugK0vQk3xSWGFwiq5+kb
yqSTGNXiVy02RGNn+B21FgOwNQThgYX0mSZTVBxWr+OT9upEpf7+WalXd0YNUlWgjp4bqXzjGXEv
HdrOYYrhpb6Vp0POcPy/jbWTF3K0uKsBO3k10EehEcpyMu/Is7wROyaFKy2C2OfmaErhyygmNZnH
3p4gap+RRUXUTi+3o/LRLOK6oS6fAngSaTV7r0rFcchKqfTh3xmyHtkTfiDtkE7IKFgyQWnvm3Si
DmgXuc98dBflJy+6nQfMOmfGmKG+5c5C+rk1WCwIGtxnj5Cwwccj8EJMs/BVJB/EjUHnXqoCle7E
uzrWzuNSVisMA78z1DFPJdLDzd0CyZgMhqon+EZyn4GN5HJGYDlupjOOewV0JHfq4IFO/5ivBb2g
uXGOTKdbD232PLpjLGmQrbCjOnqILjBIXmp5yM70dQfupn6aBWo5ZwHa/wLrFb32iBKX+F3batqW
08tiUnPHzinzUNSp7357SmSYKIqIl6vCVEy3AgmtTgTLDuqfwFUnEWPoXh/kTNJYMGX2pR9vFIUa
KQtbzGiq6oxlxtN7v7rOJ6l+re1bqQbFPANGSLJ505XaTRwt6XwN+USpNIuSKMpQntNrONvwVXVh
6633bGknBylQWhwbZ0hhnaMhD+5VTzC9VFsgaCQpMeFjs5fQCuX1ZweXuE7TDhb0YB2LTEEd4Y7v
NYoaRpV38fWVreyqYneoe/NcEJv+keRzg130E86lkuM/CQfNqcPwbtHZO60Em7wAGREA5HJiueue
MkcJMMZ9L4gIFnY98lalv6Y4j4S0HDeM4JmkZjQV4h8I291gxq+82Lr2pdYwnlgpNU3DNG4bSBOp
LLtzoLU4jby+z8BSU1GWK6sMdn/kqNYQFZFXPlYA1w+lUkPSmULVGRGNd8Zpt2mdM+vTavGW/ZYL
vXNKi+WsL0GzDG6Li3VAUv4+4N5uuaJj3p8REorBevhoHmkM6pj99cAeIy5vsFJU0BXA9qOEUNbw
sdMVnPBuRd/oUKm8W2EuMrcGlACNH1y+0mXTGKLluNoFdeR19IyzZyaMVkv7pAXo8o2ebeSU8zPE
8JqksDCr8k8YuFDqCrhaTtApElWPrL3s+yEGn68v2+ZZ6dEjPV+Dlj5qxkJnCfT/j1bFkY3e14EH
0pNWIY+wPk8C61uVM5FYn0maa24+qAWckEvhcOdbqhCC4qd2iJwYam1LI2ur35io2XPuam4qGySF
j8dML7WhiV3AxBrH2NmkOXg5AvKHFKySyjF3MYXAKH2V+3GWDFxmDiTydDB9GUaGQ0PcH9WspBKx
v6lcotR9R3RuvUX+711t3tlXbkwutURkEnvjVkaxgdh3rW0f5WVVTiFTpZcnvvbgHwaplcjGGp57
iCU8gOdxa5ZsKJSwxcgeJLfbQmUf1D2Kiqh1KOFCIdEK2T4cbg9nOhNdeWg88Gi/oJNC3nvEia5z
531AGO6Bd75fneXJzV5M9WpM9sYrMyVZFmOqk6P9PknkX9qdE5aFydNtOItBbkDBPrfZWXqeoJKl
NIpyuXnItWSHd+esRN9bgxy5m01cKNUJkThj65Hs3l5opCJUH2/hzb++4mIwkJb4Of+FKgXVee2x
32n4pMfiAhU/qs06DwdbyMCEP1qzmPrm/u3uVks/moGFIQl+INjbdpI9d4Hr3MKQmtWNra13OSis
jtx618iUfm9BJCE4kR/g4GxbhNMRneyHdce/vaNEHNZNldABPWEBSa17eany7+W3drOlR6nqavAv
T0xAexhqhfjzq9qhOGsSVwkHngGL0j2wdelBgTQcTQsAvemsiTc2kHPprpjLJCSgYi8xJ0j5CHXB
kA2ZZEK2b05J4ZCHPFTtmpWciK8I/AAdNAzjYixbSZT9IAS4Rke4EUBmBYbp3MS4MH6AACy+S6NO
hFjVa+20zPxa/xnIjs1m4kcwW837j22YjRSTql0ZVT1hzC223bWXs1cRiVWFdK4LaPAnM/chX3Op
La7S+Husex06AuitFvAjF5voIdslDrAaNw6T2a0JvJhqmeuefeT64rRs1mYSuEGPqr58cs/c5G0Q
ipiNHa8syReOp1ptNcrITWEB3xWN1msrJzcTVDosDof26b1hB+mSPPK478t6eh6XD+JJv05PgxoI
EBOSXNM6Oj7qfmjZ5/5FPBTqbhYgyj2tJGoKZVB4IIFdOYOpTZzd/9mvpKK3AnP2LYTB+Q0a154K
VeSjEdnRtYwZ9j3eNQ2aoAZyEWDDW02fFk/E/RLFCmQkY0LenV5mSCIjc3eaO+XO1Z9fyOyK9DMf
6ZecAmeDJs3jX3ulFdbLDZm//8GxP11+RmDpq/rBnBCyxEHSc8U6tM4FFAgAZroSJ+2+8U7KWLjk
Zem1Auf39NoHCJk+cttZE1BBbVyxpaIYUrbgqH3rflBxRQT/3Fa+HtsCaGr7KzbXi3poK4UVazGa
6QEbyosXNuhRVfB3860Glbh/DzZW+r1AVhKjmhDEBLxoxIQD8KMd6MbVXwQFZ10GdZj5BIPOsIUu
ini6rra6j8oNOA4QJCeQC8J+4bkyh7absrnw2irVv5Q1qqYaysNTcudKdTer+kWhlY8GGQLAZwQF
YZdkhUDGhI/Onn56QUE8voEH1FZGIM4N1CKIYF3uHMQCEhHz7tLjd2Xj1MgQMc9ykAGY84HdCJX3
GfohUTgc15ppfm+rA4/K5QkCPmXy/yeGHW4BhtplNxXm7wwSyuIY1cxZQiCb7Uf7Brh2m15AlyLc
Y1Qq4R3e4p67NELtp2z782ZAJjF5ROmagfJlsbAR9glFsBwpjWJLRG/AkbdbG4SaL0fRqTz+i8Pa
Y+dflaTL2ZcAz5LzJCrpqZTsNFJfZ1yAdWUS+TikYThDvUetvRl0CsRYSybO9UnPtuqzhPqnSojp
IE18++NTqfX5xinw3rLRi6BBM9xLsfNS0wuc/waYpBNn6D03Q9yQLlrjsz6gS629JKsAUDuNHdlh
cjSSC9RyW/lnifVRKLiUnd4qWhyHbgItTudceN0qJrRBwtT06GCa3PuyRSmKxJDLrLFPxsIOjR+B
xTA2bsB6xj4jAFt0mL5SlEPtv04vv+MzctjHSBNBtgsGOm98ul8ab6byzYimImGV3iwzfhypQKs1
6czH1hVF4hHvqLgoecBPo3KoCPG3UcoUwnw6VjkSFL6ajkmBpW5wYnZO3FMk2iLkzpf0UDjSUnMe
fS5vED+hCpoHdaWZLYo4nQ0ju5LTSc8coTRGrFk7bE0BbP8LgYU4Imba2I6FzEuW82tMFy69UZaM
wfphNQDpXaCgIkUS65NFg0qoc2phxuU53EISnR5G2grvdccUG398Wdie1rpu+c3yFFImd7H1JJIe
JP4c2Vl6/YbeAVM4CeuYVXirwc7ngR3jzxTsqKr0zsg/pIrQ5gNae22PC1BLmBcsETw+BVe4Xf3z
bgiFDOkUGMXdP+wFId15hZ62LO+127SYWh1hnekjvPx7tY4axWwxt3Lo0jAZs5UvjzO45pTzthdj
/4+iTRd6FAI4ZVwevJrYH8J4yYlEhaoZB+Eqa0wIQz+TYkbjaey+A35d4pEAehUEBI337d9zBSiV
CQOieZCfMR73OhsHPnxFy35QiqYp7OwcWthDuJXCUe1ZUU5RBdRCg+ihVN0dgqSWeqWqVdo4H13Q
qB7D9auYY4MqT2FsNLtWzoNI6sVv+5U2ZEMccW/v20D8qGviiZZt8+W7XjOT1yZeJUK3XX8ntRFd
xW9gRjRUUD1/F0C2kVWp/6V6muFgilo1Wh/FTL3cl8tf5W9U1XFIubkjSxOQzFga943KvJrljl3V
ZrJdsc0RWmXDtriW9Kqf5YtbQ3i+0mh/+biQRkeR8j0OyDe3UQOJFdEvwRxybuqE2QKPPwJi7zxW
bUhkAsupc8m2Ej7J7vnrAsgfVj9OXdRnC2RD8X7NrFi+ifrtwpBazZ+Xy8tKFlyZYbm9UkbdK85v
RkhLcED5HNjb09pIx5bVLaqEGbBY4w5lXtnIs4dL8bJ+P1Xjp9sHjev52OSxn/FzaGV3KQQzbtSA
6VZrSPmtrg6Wxm7AQsOQzbOYdvzRrutJd4NIrHXVnSpbEFa32uAAkp0IK8sCnn9b5XH/RdSMGbM9
FFXwGeYZsjFJ7i+V/5OAmIgrlXZyEQE60wJi0HWXenhY1K52uyuiG3kIpFEafvusvrx/ZNx0OmlT
Jw88EoV4nYQSwuXl2m2g8bwGdR22aQlX+56Lhwc7h30ILhWaXPwhQhr1kN+gcC2Avgpd/nZsBGZI
eN+gq03Wj6BQVJtVbxQj2DwtGXfUEB1GlYtQkWZo0GMYaWHBtRfBa+yaQ915G/Wca07E7GNzBQQq
RLf4+voikcCHgRZMVUtn3YC8vN+pOG6D+naBg4o1W/NGjrS2uFLP86X8UWo2fzFaZgr3WPzBpIJk
i9N71x0HnWgfuKqZjVTd+YixdMJbYFCcf7bJOfdWqkd1kTOKiHwJBgB0xbTbaD2/TKDNlOp1Hfva
fMIKLP70d+vt8FvLNxprGc76OGrinRoEsxy6Y+Tl/DavLmiUIPy/iIpsSpDrytwKPLk7ObQYvXnP
zwPA6H8x1g9gKnRyc39MkYOCCvOKx4XmiLss6nn6vCblKQCbaL1YwkcVDi5oOXd0fEtdldOvndH8
g2p8XzFH3vtqa9OudpP2h8DLgRXNDgRaNazyV8an+JcBh9NrrcOAsIs8BBMYWu///h8CWVxuJCpF
q5KUJVhpumo725bC8SDdQX8yeucN8jfZjTfpmpk4ilof99HO560E1XMQSkdVBWzf9YFtvvFHabNb
jag5Yls1wgEK5XnLfEaGzhlteeFyaSMBpovZWCfHuavAmcES3bc/CtPy3P731Hz7rykEeuI7HfHf
KiegCWGRc22IUVxQKEdcO1+FqWUo58iHrohBqF9ZukMEOk52GUcrPL+lYvXxAlZhwXDpP7Q8d65T
VEUmV+2ooNiraGRoRnSmcTmm/THyROl1It49MpOx+1mfcnPx1I9euYJCPw0W2aXtulBf0vH2QlBm
qhL6rrOOEM0oZfrYezu3AyYCljNOuXWZFZLI8oc8GHnKLspqRBne6b7RumXOOousCDC2tBG9t+yS
GOj1EC/3Xb4iEvnBInvQPiPrbZvt1Q7IDEW3NAtOIa3Zqemz3hD6VPp80QS1G53/KOEDYzc33ni8
egM+Ej3RfzQIs62I86YHy9F7krO98x7Fu+oa2jYChKhKJwJxEj4p1pODb7EDlJi47YiblN7/fY6S
N5h/rZrEVarDjRX5yPeopLdEYJ6JAvtaw/kP+Im5TU6rAq0hqnNVhEMVTVQYDkX+HWUGjFPm11z8
A2RDL/jOg2nezG1kbWuZ1L1G6FbQ9YVl0iqwklEVN8GM5ZmEATWn4xshJ6FyR4mx7TO7DQnUPzmh
5LKs+Damh0yFf9lWUUJj/YryGewcm6S1lRu2VTdA6/VU9/YRPO3pnjwJZ/IplWV3pNgPVNSjr8Fh
sfJ7ahuuVPh8ZH3xFkYDogQLZ+KJjvyovsQzMyRKFYxJwrssihCXbSqgf6GYvIGj/UKWJMmi0klz
cTPr5WxmX9VuHt9pf8kPiOTx+0VjEaNJfpupfOUxJbhmK1k4+FzgVcog2XkwJdbDlmTtQS2ESq5v
nFOVrX4XClwZKjLvm09nzknEL6/0aqw3klMkCnU8Anrr9eXq7zZHo/vTyR/KVOSCs1ZICXm34AmH
D3plOBBMIcCnSxP8UU7jF8U94nBkpi3c5XsC3CJ/Pk+DgCCcqxCekRp9T+CSdIbbqkNYy9J8EuZj
HPw+j/vPV+EBEbyl6Ec5eBBk4Q9hRKpvFXbHVM0vouAtCEOSL+H+aZqm1SVCpuCN1NcE0IhhYYCo
fGGN3mhOHaCdQZkx17KWJRHkMTdTSBntuxsRXpixmvn/K+jtLx3sr2zG0fZlNMRkE1S/Fl8Mu7sB
GUWJg74csog3lOvnatWcP4oz8WN6Akd8IpcfAtZTIseywzzE5rxnh6OuA+2v2wJym0HJJKAYeRdx
5drqhuAb7PDuipqQnw5RTyqjRpYNzJGJ19DFT/cAHV7ona//JNSskKu4xygpDObJnjIO7vmjKnpr
67NoXdZbDjf6OIOiGrmbJIhWOAjZAUv/G52sra9UueTFXLcUiCWi++RcigdUlVrRfX0OShdvShLY
QS4WItaV14FAFgs+1+QJQLHgXvA8ikrL7d/oJ1u5VY5cRotaNh9W84HQFAsvM1jhuZ4AwYFU44fc
B1+tadfM1cTnna14ChNZIEhWDDRSxulTXHz2hyDUjl6QXad8TG8cd+QCNdMaf1n3/fcn59xit8BJ
9jirRZYWq/ZA2BYMvf6UuOpyjb3iYOqcPbndAB28917BsYWiuyx1zNA7jtIbJxjNFSeeVzqo6rRN
Hv2AVkq2rlPn982KadZnIt5FcobbuJtWPfbt3z2djXBoFMDK5q0EzgB70MQitTyu3RrqltJ7f9FR
hkVjpvFOqanEV4fKHvPBZSdKomAu1bJyJY9ZnMLOrRRee9AmbyOO4GaG4yvfhlsihDXdShhShi5B
fzwwGKabH5/Wg238jOcZQ711PCVSWIm72tjK4uuWSXhybvnibwrIwgwSJy2QGHTwZehMdSwQayGw
E+rfc8hMZJjBOptJVYAkVqatWTOCyHtSPjh1aiI82dp40g0IpLg32m3QNgUiF+VdrKNPkMEY1wlZ
VO+BD8ru/cjeHXJRFdeNbRiCHnLzMjnzjMMOWo9lrg2PvK883wGc3PT7x9rJzTD7/HbHsZM1r1Th
KxNBVq0eM63GZ4YF1sSLwMmmJukcfosnYqT7AB7LmdE7B50RKSO4jjX2hj4GsehbKUtq8tR95qEU
3XqwzJjJUTMZKI0t4vTkX3cD6gFcxK19PfVd7efj5ySEpZPd5NEJ3j+Jsu0JdkL4CcbNqMbZvMPF
gd8YWcRSvDwosy3nIbgDaE2MC+rCd+eVA20dMIZogNXOewBjG+WdK0nyZ0VfcsjhxyuxuZAcVAo+
42gaTkoZTA3iPCEKjyeG17IvuHDkd28OdnuguWYyhU08eMJy0Hq5Uql3tTI2Zk0jQZHI76culo58
XL7lsUWWZKxvxpunlwK/UhiI1PQvV6JD7vDtIHMTIIsDHn3YQ2vYq8yv4fcU8XHXYgIIxT8rfYKc
fPPiDyyP4STKS+iz3/EiIfsWOUGQZ/E7l0z4OI3FbQEylS0z3ws/QMhX5AV1hY3Hngk4Cv7kz0T3
vF65B2+ZFDjtEhMTV1o4vTU6MQHLgUtBBnC58yrKKLBunfDuZN+6JmcXkMxXL92+qEQbeiiNLc2h
bSnaZr9sFyee5EOM0F0wTiafpTkVWjUobyx98yXtkWnhCoLf+HNZ0DkqSVxdGcV7/uJzSVg2LevB
6IybPMGYaQKZmjwrPRniVunPQ/4KQZdyXvInCpoEJ2NgnczmaGzKrbuZPBIY9hf66DNbe7fIiiWi
0qa4BgghpqbHGa6bdQTZJPbVFuG6f00BFPf/DCoj9I9MKFNjw8VbEozWGDdjmXAy2e3Tr4YGAQP/
Svb/7UDZjF8gIWTqV7PjwCcM+FWXKKSE2hPSoHJCR0yr9/THoRh/M8apq+b/iYgQozad+yE5G+R8
fWXY2s6oE5ZBPoA6ljap2XkGcJIokU4iWfVVN/YyYIU/SNp4Cnkznq7Q32b0u+2T002FMPo9qNTe
/XcxExCRge3+pkhyQS8DRtqRGJxJLK+gm2jZ7WgQADNc/Um5y26vOeMKmi/rUron5G3NSuij7ycu
04V3YYMO7ZyLz5h1p93+XtPGDhA0yyL3DWZCxx4B9kUCDiD3iYC2eKroea5VrJylNQJEVHnAcbAs
QmkN9cqkZ5YBVU/61XLyzM8gLkQ7YxO2NQo3gT9xbym3SnvPz3oPQ5T8X52w27AYnhgBTA0WdRj8
VOpU/ghNUlrNcbrkRwe5tw+NOUpUNYbgeiu9jSf/yIbZt0NQt4fxYdav7wWZPED03bahyY9i2Krc
ClAL5MGBCpt+fdbhzmoSKtsGYCuMJxZCznGc/jL17kEu+xXP40vGHkXFV0cSWfwfsS46GZxEPS4P
bgWTmY8ViEdzIhMQ6KzVQaVsNkVbkfJIaz8vgfwi5wPTD2imESbJIYKzCyki9NREFB+ZlsPz/yM8
tDDK50KZ2YrkLw7cha9E9TqUInI68Bq/LkK1AXhsiDFz6YdC/WTBHlBapjQQqCflXCkRAfQXwqgg
FTIVLvWk/y8tae15m5EDASUeOBbGRLEFcEGHydNCIGGSsBtdnEpyGdnLc8xxL9b5zdTRoxMGhY2X
D2A1Enb4ZQLJ0+hGLY7znhj9ReGYwwpIjrlZVzXMw9BAplKKLXQNe7Ggso/5yWyzAC8mwNJzxDPq
c+LqV1g7ShST7AAJF8ZlUdxaXpS7g02iqg4jvNfi9Qo4hUUcRbi4wHjebGdYbRatZvF5HExxpW9D
2+4gaSqt5zpFPknD0X0H/mc2Jk0IVfOq5FHWR9PGww+JtT41JqzlyUIC8vk7SPMvkqnf7LMUdN2d
q2GyU9pObYoRThW7gjNeItou7zew84rpOTAXESOrpENLe3jGkxvUgGkktUsV+s4L8C1kVwEmEMmB
AJtnYPkaoXNDoBk4yRE3RkAVQYKOEps2V8js0alLGFMjM2C/q2sHz2P46tnpIlGDFvwcnHrU762G
KcEU2wpZXiMAy/FCQjE0JxUsZVFhOwqa28bCapsbh1x/+kwOmvlG321DvY+fCaMmS7P/IYVw6hYa
styMraVZgWLvKuiuf8F4kEpyTk4H7HRvdB+7Ay8TpGPwdcsPIyPZpe3vqvXTgBLJgx+iI/52a/YW
H6HD4NQy8HI/qvG/pRcUQuPSU2FNCg0/ZsGHz/ctI+v0XcSydJX7GKRsjHseVIMRzY2C3w/mVfV6
9pTSujaVd0G2UqBcKlI0Fs7f3z6bMQX5tv0gOww/EsQkjmHNjz5j0n8P4HUBTBlit1KiurUnaqBK
8VlCF7vh9cDajXrV/QsxepacBYfl1gK+dRDyX23tv79Hzvna73YJKu9dyZmAYiTf21X2j8pVIG5L
WHlF6Mzt9/s7bkssV4t8BJPOoJZ1XWYNwxoRTkmc1FXk6JeFx8KLOTE/H5wVd3PAS6m5OVO1M9vX
/IW6uYAdXEWKE/1kQnXBcRN59Ieu7/WTnNBTrcT8tU9zE0JnFejf/OqJ94kzgYlFYwIFXwmCsCn8
lL6/QOm4/CS9BlwuWkdpgJy2dhwGGYdklYSVECpx+3wFnZu7/biJMdZIi6nGNn3uJHWeflmmKvMo
+d6spYrQuO8ZqUtn77dfd2JG4GpZSt/Mx6A7mCYRDP6pvojtJWmSz27x4nQv4cPsFUiBVCKaT/ga
arURTqSDytYiIAsI9FEZ+F49hyCC/KDNcoEN8w3Dgdj987AnOTZOVRVb5YrjGs4pst4aeNWzKTMY
DB3zY4RiFIv4hHchNeiLbAjmJY7t6T49JOFSyaWf3KSCMxS3vMP+bSNwLDFtqSIbNnkbfnCSnNgw
KemdnBL7r0w+B7LHeZSbLfbOokE/fNAEet4lUYZqFQhuiPJBfLItvGrTWFlO3xr1HtG5FavYAc9s
fV+jNTQhaTF5LapgfBNP28RF4oUPmRGMRGYuqBdgC/WaDEIyRhwtn70kNwZrcu+07mfj5nNRk0tG
Sgtu1SDbT8wPrj82xfwjVwZQzFUuptRZAbHzLY1nmDNQx8AM+9tcT+En6dA9kEqU6D67JcemBFe5
neoFgWxWxllNRh+uDtzavDP2wcM1VIe1uquQSE1DHmaIWwxZVfkCeyWSm8t99gqgIDJZHdT3K2En
dpuzsHoABVLjNNGjFNNmP0BZbDeOBjQY+y1dgqqxjgbvWk6xkmhekQWSOjUffnhdL6Jf3aPbVNla
x2UAnJN00V2BBvSgYdwJ0Po0mbn28OMtup6/ZgTljTGgH3aUx8Oks1JRY49LEir09c1vdkT/Kkzg
JewDpYjrghNheq60D+tNjj+BvXxc8RSkzl62ItGxzbhuX1y89ZO0ouewl7Q+0BsfAsPdYDTh3au9
eqottzCVQIdBoLqBRH+VNgZr6/GKvaBZ7h+j1k/VLlaO7at6zLguGhz26UFSJhwy8cSYWr1hhCwA
MvMMtxjv5ZI7TipYBG9hDIOa+tb5cTCrJBm5byUa3mTdEsL4iLGaphNDhnkQiBKdsQ1aHMKANm44
CDjfthbmFiHn1I9TjzgPqptibel0RfFoGCqUbdJzEHvmghois+6fSxCWf83g2MwAtInnwI9GEG91
7UDqGyavn3i+GUpyOwyWAyu4ZyrKF1I6Rs8JHmgwyd+EAR0ACJWvK4TrolIQ3eIJC0TDTAcQxbEu
qciGE81XTnFEnJk97+msQ260rLyDxMrqjn1dyC3eQLG5AXJiheFyzFX7Lp7gzNwCZrU3VqRTjJIX
0phP4ezIKoDNFrr1vF8cd3UEGR9TtVOsQjCtp2x93m9z810thIwdlYawH7quoBICrLCUBGXtCPRb
o91EViaRptUW6DS6Ln6uwvM19btfUF8tfHpwXLGRHfgJcufVhhEj4UApqOB1xTLCqfT4gU09d1y5
fXbL7HUjkmG2wEc0A8OGwhTkOxH5ozTRVq1XnPJC48mhje7f7hvCrauyaiPyyykGWPvqLKxXuDwI
YsstrCUSGzNELqjpTZeu9GBGXEzwcVLTB7nHR0hPWv6k50c3s2bVpPLKPaVVoTkvMosXdY4BST60
Rbzu4mjWXnojQTWH7UJfW00TFZBcFyOab/qClpVa88/erYUGp2AGq8QWnaiBikqu9rRgpLlZboOo
/8zyXRJHCZbVZL8Gef64T+KgijSdWWfewwSleP/hWb+rd2NOrp18cgxnq6gb32b6oXUV68WKkP81
hzx85kkEQExxc2JSV12jVJMGJTcGEdRrA+AYcG7aZCkNq5grzwxnUirvuaIYNcmSMlaIyIrU/RQo
B3x9ZBTYeLE8weV4M0fzLPPUtm68KVOfUOn2HiA9kndlzkfmDNC9IEVrCLtn21ULN+5fbPzUSqMM
PsABcpM55no49qwOMHHoKZCf/FyIaW+92145eKXmaz/wNTBX2pvEjYgmOZCNGFlb9VI4vHscbh3O
TMczmwvtP1VKaCybs4KmB16YzXZV0ZxGmDjzhke4dzHpx0szN6mp1sLB+xtCYqYJHW6bX0UUSZX/
6uO+F79JbC3R8Mv8LwD2d6PXyKMTc0hMqLh6ob7U1tNFI96XduiFUyCom44NRneL1D8OC9lt4WUM
C44pHKatBN6FbJrWHUoAd0L4oinCugkF1sCrRItnFny7tVg67O6DGxuswhRLFet/L6OiwXv/3Jpx
7sMskd/HzjcCF2P4XpCdV4nIt4qgrRCoD8fOw3+tFY2MDNN6SzVibn/VXcDvdygKNwbdtJkGzf+5
NlcFn6DSf0OBCZPovzHV+t6j3/NIz+RH70fOF+t1I6/SyUZq6Tlfk4b+2ZUNEzUJq8GWGSibvlmj
XxcN3RL7uXIVLnJ9SENZNvZFZQpOlcs+6p6nT4CbtLCUQSwIjHKuzcL6rbv78vqDhA9HR8qg2ubG
gve35x0n3bb/BGBcWdLhwkWOH0P7Z+T52MMPTGUbnqe9pYav3Hnclxi4KWiHG+F2qO+A3oNTML8M
27eEE3RBBqIeUuEPEuHLRAh6Nt27AB77JcnOMA5Z8SV5yr04T93OoivgEEjksVMw4Nf6SEyzGZ8e
bU13Hbg9fLQmpqWB8hJfJYShdcTOIskmmcC9guE+k785WUvEoJwOyVqv8/yIGe2inA0gimKItOOn
L/QRrjNn/xQP32JIX93YmYCzF/dCRf6YRPylrh7fHQPsaJ+xC9gNIBfyl1hv0ZngayiIk6Uc7MLO
AViPVYCjwId2pOL+6PDIC/uD4d4vKfgYetuakSrw0FHetkhykMEMd3iugy1UWQlE1JHuXpC66By5
D2vdcFMyNwJEQO3EUxpwKZLM/iK7dwvRafGL1kihsFNJsg6NFr1Tr7TVUu1nHph/bVxHGMqQ3ANa
umgqVGejZLm1uxcLjLcp7fRsaPsmAMyTvIriFFUDRASnenZX2gFcURQkCiO1rn1WyzhOi78yjeD2
81DOFhW3Xn10Ce0j5P+f0SqI7Si0TJtZPVtb4epgmeuOQcSlcvZdWriaNlPZl6R7lvvXBGAcEYzi
pkqMkQAvrtjotmwAhHeLhUyJ8qjeMe9dq83/qQJtTU3z/9OOxtoXbkVf+E5w6dV17PJJ4sgYQL2Q
1ya3PIApSZaYsphP7H708Y0YpUvuyZdVp/RsbH2K2sPrESZCY++38i2Qx2NAvBMae9S84eANHCDp
tHYYY9Imb62XXghrLHC4jfVFWHeNNYWmNKvrxIHmX6HxON9c+opWmkDdAC9kTNQTAY3zmRo8Arhe
81laaNMTk+50pzFPG4+xzVeJNI+ddaew0zL6esMvsOIcOO2a0yTi2UJDpBuqvDUS8/DuNdxrXRbX
/iXS0JtZ1JarIpcWapqrsMg7HGqfCweMSkrH0Nz9Iy6LaZfrwN+FW41vumei/jZNmEQ5y0oNDVQo
SLbjVK8utgUPQrvdxqxqxv3T+ZSnGNpX8f3OBBfPivOmDqg/N3jCxD22W6EIaiHzhqAYvX+fyUD2
mZcyNfHjwBUQLTeAS7dLFY91f9T73F6OGrkh/lxmq3dIn8bhbaKPmLCpNsqEIXQGEKBamY613Rn5
ZI5hWvHaw/taE3g76Zu9K1X9s24ZJgtFmBCFcqHEc0neGxTGHG9UXBvtz1P+MKwUTzPfDdFu3qyR
Dv13gskydqK202WB7TPgus2F1y38oj1y5jhG3on8y/WYh5v72Js2VGYE9Kc8sgbH2R2huuk76AQr
saR0P7YIIuC3IF08aDhfdL6PDYM+K/CGywGx0A9PvO3HTT8G+dZk/I62XcH7ehKWFQVr+TRDtKz9
MLsUWwCVwBZvzOk50K9NaLgnJEYpIg6leyAHY64RfaVEmIqZ819DxW6XB7/MKg7suDui8kkqLkuf
dH+qRXyemo98Vh7auGcU+40V49a+oD2wkGXsZhqLyi5v9r/nZ7kuKXsltJxfd7qnN1MVJ21C1IQw
CGCcMVB/93V7aLIVx1jt6via08lC7MPtu2F3CyiVYm+ywtRKxVHlfeq0OIdopmpLwog2YeAJMwNI
Gyxn3DyND9kCiyAtqZXaa3kbKgZFJjSafgxO9PV96R8qYJru1k0Mq6QwOgEN8z7K7ow+Eq1HVLKm
2h6cAMT9J2qhiuC6veuUXN5NWs9LPjLULS5sL7ciUPFtlD1UcC4pZgxQL871CGr9b7EIJoyOzIEZ
ufCmakqY0GrBw8Ls3Q5iVB6k7q/nBHLN+pnUe85JFhjUOK1q0GM0I5LEDYYLlpEdjQBYqwvtrR+7
Ycw27xZ81I0kzcqD9ks/V6r1Jsw63mQIyVBh/3ql8QK1CpBNYKDgtnH8Gbx2tvxxNdTrRPbIEuZ5
6UctDPgNgCbrCEo0u5EGApqwuL/3880IhGoV4Xx3KPyb7j+29uLZiUcQLx0pseSpAUaQ90oNKPRg
nUi7FmT43hM0Uz2rToi5Nmn1TPPBAyF6H0BxgYZa7MQrpeQnY05GiA3PxOuiVa30zXrbYDocNJj1
8+yEWhRLYd6fi+ts+ba7mILYSaofCoYFB8Xq9hbhGoQtdgr7DWp8Fqo93tpXz64q0chxzkecoFEM
E7CDlvsipEej37dbtnl6HoA041mSClhzyZso6Xd+BD0XUWsdq1ADgsxQ31vibw6lqWt+WZR8vSYt
YVubZgSimCeCfQUIHD/uKL2ixgJLERE/rIamHXdjwNEnu47C8fqYaLm0c2KW1F8mQV47+q3yeyUi
DNy/OE/v5u7sI/Kt90LTTQsl0s+V+ehZSBzWoxs0eJBy1QQJ0kkkBGBydlPL57WWB1lvPpwukFQ4
wb05DR0xhhOZzW3woX6B+lQZPppRhYqIpSQstLl/pBtTxMRRD5RrpTAfs5F2rcp3PjcMq4n2dfK4
M5GpqTcP7btZfFTD4UaT4PjD7YUoB+FlkFu279YjynPYD8HAS85ohO2gTmpR/GdWCF7x70+1hSYg
x3q4ovTwJE6C8ZNglBAE3yoBg8wgmQY3bp7EpA+7frntUtgraHc1uUpjJE7glLS4cbK1e5HPPF1C
rCrSrVySDCmty/Oq7szMJkbdY1uFw2lBS5R9PnWJ7VnO4+YR+QYHTKMSNWAVKgXAv8yRMd+vcFP6
XdGO3uB6t/TnWLznHhW0NzrlL3SM8ZT8b/4z4iolMqaiNXV6kNfRwHF19Ir+WnmkYBm9wQJpdh3n
YumwPpn7PfUdEvrD22mSYRdVIaTs+BwIr8h7IH3AzTpohaleKTdg/ygHCyrHPL5bqzyJhljaNyyr
vdipe81gY0DBswkSicLloZDgOXnO9wSFeIE1cS/kbQTybwkDkRdyVDDtHTw23oJbUAwJ76q+tF5q
nevsXtKNx1TbTIjH0Ygsa1eK0/V6FAKziGnBFfYbGEBgL3bWlBeLqgBPuLjfk9/fKZIbLvnk7goc
FjSvh4LeVmpVXVGzrKOE+p0NLouLhoFzKMifyyftr19R+1j4QKpMNndSSbDD3GqkDme0R2JqTf5t
bRLCuUvL8XEMF+H/21xOlcQN0oC2w57HlxvEzB25tAsAjoqbQbjDEJ2gm/9/f8S0zb2hoAHoPnWP
5mwB2b09RGozFtg02L9X5dotZ8XP81oD7+SbbdQDAOBg4klCJNghZUs82ZXqTSrraJZ6Bj8WNuWN
Ptcn9SVUBp6MdyXeRZElaq+vXthtJZjWso0XcjWiAW8TUOyTeg0Q4JbHAaTW1y8F+bEFnBdHcKss
5sxE1anne/Dj3+gqPUkhNry1p4cxZ/9yk6oyq9iMgkVstk9PjCr4hjCm7n268CFwL8kWiEDd1eQB
jjZf3UJocjrfbVuIcXiyqMyYOlDR7mZxrK5m/vTuvSpBRb2FxI+jVk5el3tTFoYnTh7o2q43BtPd
J4e05ZTL5d7ASFTGbAYkk/M6DRkUGnkfV6Uzd7PmX2eLq1cvrFhY4lf98FblTF2jO1MK5ojDDXX9
2s4Cuml6xX3fSDahsbyR+2lwzJeMRP63tDz9Xtv7xmUhnYcWPBhan97B57IOrekraRTcnEJD+s35
KaCqHuyOi3+CjmIm2nakju5N2rFq3WsKxMET1GDmwGiHJIxVUcXLRZYHGBCSRPBTeXuWSBF533Ou
eayyx+QlGkpBg2t4td1T9oNkxPIrDV7cO61F26HbDBW5CsjJTIrHXdjC/Q2VYTY6ra37IHlbgM8u
zYBRcbLxFVvMAQREoRJZvYDMFLKx9hDuRfGBnWnLNd/uRdYE52EsHh8ukE5K9O4LwjTxB8WIT1RP
zAmauyWG8GObNg1js9Wd+lo1go56ocj0PeOFagyYmt7/KmPXzmpzYiw5AnVxqRERZTuVV5n7cIvX
aiJli4r++CuQ02V1NoD3sq+U+GYpN8calDt1oicYvuMmR9Nk5BeMGzglsvNDWu6yJhRaAqZzww6u
kczN6VUFeGxkwkb+x9ldOC6Is1MWAhKYweT11vev6H5MVg2nRL+ivFk7FXtMrAhwDs4YLr0oOVuG
BK2BcvY7LTjL8IZzjR37Br6JiilShgmU4xOSmAcsWnzo7X/wpGeuZQR1nTgWvH38DgOMutuST3oR
rnDnz3TMSYlvNpc01iK60zWwDZGmylGt3U6Non9CKwzTQUri+B8lZmK6xlRa8Devbzwg2vZqTa9p
hKWORevsiu/pA49NFsOeSm1cG0+vFzi0z6PGYUVYDSpo9OqXWujOi12y9l6HZCEj65MlZBYnts4N
qYfXV+drfmi204zRjre/VyD1hDiQFsCucsyAVGV+O6sNnvH/sMFa+TBIlB648St1gByof9l0p76F
lFlUmT/EGqRlTQgdiKhGoYavjWQirKHyI+IuD853u5g4YrT2yrva+adZVMJ4TVSMwI+zj7dIZBxG
1426XjBicmnVev/qrnS0Of9C8TJgkMFpMepTiREDCM2bbceQ2zQqXjXb1vzWiAGNhsYizfLOKQCA
/1AmZj8+H7u6lrhFc2fVR7POBPf+oW+myikawpkwlvbPQ2XxAnEMzkXzltLr2NKbnnJGwvlS9tbC
np0gW9vsI4l5HuxM3xqeRguv81JhtQRgdffHAN+2pf+/yq0HzQQsQhvZLJyHqh42zVmBAHoUpRTT
Vy2+h42YGwym8t7VmY8WCuuTWJ/82lorfawbAUf4tb7x+i07lqL+ObO+Pwwfj4akQKA70mWK8Mv8
i+7favAptLS8lzrdLRQSMWaNasCJhsuO4d6bpRwgu44aQA7miT/8jK/ytxRr7aq/uUvEtckQTw9j
Se4VEvscI0uXvb9W03SI2RUtH02MAfB54PMOvjq4u4yMR81FlLAMwEhqs1PiKRTjBlGhuO4xTF0t
GqS4eEVTXicM2rbe89XcZVs2NMvjVEzUT7ctZUJXeVLG9UftzS2uYO2QVUOTnXKNuXMYuMGW6YM3
Ruzr9BHPCUD1XRRrPuVqgDV4v/faI/4iaR9+4at+cnRl93TeWmZPpr0OS0PaB5Qn0CVoqVTNNwlK
iGLmVa/ANtDf3I5QnKijTfClZcyVDUfsz8XKoF1DejTbJFMhib0jiZnBewPOcCwtZE92fNBcnYcm
2mw/eNkX0LCgPoE8hFW4Oo0186bmP4Ujv7H/Lw1FseX5Gc2un2bkiexY3lozFIFqYav+Q2pxa+4F
vl0h8GodvnfdxjGu5PByzJsIkghb7NWGJzAiZeArF6br9jQqIxmZGLcJi4wN4hwRjTeE53049rRn
l08/G0A+WkLPV6ncB3VX6BCzN73QdFbcVaGUUFKWd2aaMQP3KNAj2WxfMwOoCJi+jgxD+65YGVA1
Av5GDkjMczCDrPOAql2dPvrGAUZNdoFPD2W6qT/1IhRNHxol5C729LQIh5uBTT2scSVtHkYuXal6
AaZgHi82fn9Ffwij/ufgviNwCpRwCOWpgG/Rm4wYT9qVHNywNhdA70U4H1W9AszW5yfob6L/Gesk
sO+xt6lHdqw1tvLkSwE/zdtWS2+jdRZVvU6RMpp2R4pbwhDW+tDkTnRm4BQMEAH6wuQg/2pP3388
AQRppVqh5SRLML5A5CnlJ9JUWdGMZ5Ob34zFBmRf1fh00L8W6PqOHxt1gwO5WsfpSF98O2OFfO8N
dHTweVdXa0IfMgffhwvkTUUli8GOLqQtggLXCu2W2m7aHE+BH5kcSsL9xEGcho8QssohxSYkJl3O
+Ue+cctmgrmBZ9PhchCK02YdlrKfJEshfsMSBPEz6U9PzutV0SyDACVfDvyMgC0VOXdKQYCKzbHG
Acv7a1hM316f06SIgAcCchq0csicVaIrdgcmfqo9s0UJMCl56JAX0W/esHCgZO0wnEhK2ixfoFwA
OGNdV8t/t0t9Y2ZkOfauARUGKmdXKOvZOjHZDw+VwMBFQxLa1BCHi5R5ijWMqHQn462bMtRF2rpA
oxhBnmsYPp2czigR3Ievp2LZjhO3HEfSqfW4uz8gu7QsLWaWdYyVIvkqInI4NpcmtRKejTbYDUvC
tQFxAKyaSiIdpvElyMSJJeJ5U/3gcXxY16fbXioIomS8RkPRFsUJ8llAhnFSIVBHJGAKL14HFo5w
XxfY6oZU6s9qmHz7VqctkYt2+vl5NnPNapk413LMG5XAIXzhMwc8CC53mkQwLWMYoBNfKqgNISW5
5Trpv23QS2DeWd+iM62VRB9Z5cOWsZLgHpqbkbimCCYczxgMYmyME+SqVHs9LyOKi4CGvo2AkDoX
PektHH0t1xdC2CUdKzUFX155Lcryyi5rZ3GwHOpjLsxED3SFHwxnRMPOlsImw2klF6oVPKnjlMT2
i1OQwEyS1DxWcGH6MaXsLSpFlwg3BoSar7MgYRFoZBxIXCF7N1iyr6+fIOEavDBkGDSG2dwhh0e0
YoniScrkwT4cd/4AAefd20gvjvOvFqMqZiAdkcwgrOYPYMUZPd9XWHzkpf3W+9OvuGu2c9gY450J
qHVfyqnK+Y14bmZ/vBPVcVjjPpwrKiACBCgR1tN7Mdxc/EklWWWs0gOU/21S0GoGfvVprSJ2KmTg
uR9wLhkqPK7F0udtI9E9iS1dhdi8NIY5dEB9PCzCK76XrrUxprmOJ9mFsWBIGxoC6zWaV1G0I/Iy
ozjcqPlzV6iWfR4DP2zr9r8IWIObasMJS7LEp0fSXmjZiP/0Lw1uQ1qeY4yniDrEE0RLeVWQZK8r
/XcXJx2uAYOXV4zwmx2pthag7vX/IR+Cp1pSooldweVmEPICTw+QqqqVoC7lWG0McdAs5ADvfldN
9n5JmrTZ89oTGOSvho9Kzfoyk24BUMc7Be/TMKK0HOIVpNSypo4oXM2R65yqez9hpmPTB2d/HHKw
BENSBQPiMSSGKxu3Rls2z/gphSqKaZzWFqWnZcanKD1KQncmV9MPiK1lYcJvAuH9d6dt8w+Kj/Pi
0iKkSY0KW7P4wVXxX2qexxPQTWOciPUwVtKCwYsLiKE2BASVxYKy+zo6wxMRIOtxxEQx6jMEeK/u
TR/gDN09H/eoUDqhDZWDFJef/K+uYTv3BABFNe1TByIR7BApc/BHCyCbnPfYMJ3LcYxMzkFismSE
hi8MYVCVTq87LXQlBn4I7nMwz7twfnNFbW/ZkTA/qiIRNq+GHqiIgYleUbe1nwsYlRsGs0MS0gKW
5RLtX+LWnEhA8DPmoTCJez4W3CZm843O8Z3EiNQ9FqicoB0mF6l9/39W4WcCucH+MrVvJV7VSgD6
+fiAnRo1eOrQICl9ijKSeICORxVFnhGT64oUyb+4XWDSlJ2ooMggGmAas8LWRepGaT356qELG/Sa
XE8lUiq0ysWPcuNmsEDX2vWAG9WufBkD69EBZn3fs6siVMeWs5gDsZ75cZmj5SrtWz+ptSOh9SMz
mzNo9AXO0CeMouqUYO24ESIUtkac82SMuDzJpui2EX02z+/nKXnmAE4jRi1vP3vU6PHUW9FsQx+O
WbPAYOQuS/W2Zn63G9GEeC0kKsKgEkzKdmS/ZaX2azmDhLPRa5c2aUAFzakssgpETfhAep6al1Gv
cPnc+Bdp+zgO1BpNBjMnKAQXYIETTol5u0bFRmK6TKtj1cqNLEDJDLW0TAahwzf4bqep0jZb5kc6
9OWWBEoe6eVUArQi374/6SMNjYDoXcSxEAEt8IJvYu50XYqL+UclnM2PvBLfvZ/tmoJfa09Txv+c
cvhtOp/Xfc5If85LmJneKzKjU1Urvm3JaNb6uNVt0fNGxbOn7uAAQv7jFNW2fOOooBinKhpE/weD
mMKO6DIM2sSfZOdydzQzVqZcfYguuEtQpTJLK3rK9kdfDSqpE15s/u4vfYcsGC9PsrCcj7dE3SNQ
k0JQN4DzboLCYCHO0ycPvRS906SwTpIPkGYhvimNBhjy2G6hXDLoas+uxVCvvwVA9zZ7iCyPpJDN
kRBnkKHKqEf2XRgt/9vGcf9AxYClN95oIaBVC4Dg43+bz68+ZXukyJ17kJEq4TS0EuyBc54qCLZF
QaruRdHnZvXuW+tNlp4wcBIN5fo11DsOCXRg5KbcsIl9jIt9qmlf+2yAX+z1c+Utl1L6SP1q6Mfx
EPB1xEotd0GNabsmU2tISF5G8ErrTbrQxHX9IKGXAzsV5gLftCIGz5ObDacnR5ngI7NMbDHHgeN+
ySzp6ea+2lNwB/yFjielMMDh4lghFZ7WobhBbOB8QtRY2R+stdq/tilWj6TQ/CSzZ2lFBzKzzt5I
+kxPBXKBcfl6OTaq9VtE7kwFyIiaNGJ8a9+CFudnoG4S5QoCT5D/Yrcktgq0V0cUa337vsgGMfsm
6kM3w7d4agq7ccEzrRKJa+ebEvCLA4/upy72/9IgTHruL8oF81/nmsJjeuUCAC+9CvVv6qUNWy/9
kSgQ1r7717uH86R6pxVq2UjmwcoJRBNd6vs0bgAsc9VgBvkHynoG2We/ydSOLAIZcYna/rhXoosG
PtQqWc7erWxbMl0aON/FEJSntnhDbKycL4XGSqv+GKN9Tc42lmcNaQXftDqS/6VLcJmkU+D9wu8k
xTqESsyXv6q+93XF1Z9Lck0RKuFtxwc4jNxUJU0AgIfrS/T7o8WlUXMYoHP6OT4jgRmyFqK3mZQ2
tQZ8QAIFXahoYVCLIbAAML667NZUbuviPoqU97r7oEzy3ucUjEML0sVPThY+0xQfdO7N9ir6jR6l
YwPEDlcqPdYeVxZDeS5em6rhf5EZ5W8bx9+Zs5B5f0lU7nrkS6RLmziwkCQME4VSl6UiGd/wugmU
hOwANEUGwqJHsd1bYkrboXXH/yccl5D59MH7HYvDgLY0sDMvYS1dDNZ+M5msRPBpc9Q9s8Ks3+/O
EiPf9U/TXfh833CL97N8WYz56OCLMkP4LF2seEGChNR96x3jps+pNgCN/MDfdFrzjB3alwnij1WF
WP+4+Pw49sjUMKpcZ9l2u1HiOBqqFXohc0JgYPBmvFMdZ25wdVBZ9w8Med0hHlq/AM5PheM/GBxq
4ZSkBsCMaXNvjss+Y8XBm/blY73xMMpJkC4ja06MSWn1jpRPrM8puBoCNmnJxQPUSkXFMje78qBK
BII+liCvuGtHgLLcWfAQgLiqrbt0DDmTMY+W4gZ5oBzBFpSFNbPFjGeG3w8e5OphoibQwS5PnuOy
OpNVPFTbJwaYrp1bUWSgGgXvfVAgOY+hwzmLIlLVKq1F2b4GU2GZKtJpNfgEbWUVYg3WRgLxzuM/
LIc2atUbUkjjH/Y/X9zUDokUIgGPPxaozF9t9gEh/PLcROfkOdfB51E2aCQVbrO5iYxO+snFRwjE
Tu7nv6QE/F5DaT42aAq7FmmrYgTGHltvLbMrKcvvcS92wTSVya9icWZ5rvfZbQf43IPAY5aF3TI4
9UMnjCZpEBQXFja5NrN3u+6PUaSsyvnMLC3jM8RP5Tyk9SZOKAbPgcHyl4hgpJyD2qUBX9lsn3Tm
in5gm1V6owbcidBW4WijjH/s3VTrI0/jgb2j0A+KuR7+6bdFdGzrOQxrURgpQnZPEdWrbD5e1MsZ
pMg0eq5Zk76Sxqbj3cNFqNyhFL9A2Wp7LnpmnVfVJssJ/1PtXVZwg0xiFPueqfRyECEeGwfgDEuz
ZvIjItNtyssSROQ0i+w9mdJK+RvvOQe4hibCjNonJoCKt/P+cQYIRa6536geoQYZvlB6Eh78y9zZ
orXjsLauj0eNc3wp4CDOIgscvm38ya7o9bOEWh1j2mSaV1PAAVBJMT3I6LUnp3uqEvLM6+NET81E
KjR/A3iWAsll5vVih+iVJjUnX3JKa7fRhhpkZmUsiUZ2oURorr5LNCSvektkt7xGnCuIe1tnHwzX
Hr/LayQOBd4si+uPXKkAK+QRHARvrbIpTtjWW+WVLFUqmeRJnSYmkrde4UNCs67x6EEW1KGFccOE
GZkVhcDVioFKqVbboWGTl8LHuUTy3DhzXWBlmEhOGJm09C7aHmgF77u9zIJYLm6NjshN3dFSKskT
BUQihGo50U1VbUM7KEyVh9kdP8IcQ2ZEFa0wgNWXC3kzfGxvvCZzMpJy7zWYShxvXPM64aHyJnQL
DPhjiyFdDzKiKyk+EXsGwB7OP9rKh5UQObfNgu184vDJL+30sj0shof4oQ6qsqoI6pSyROqbGYjF
Zv+lgvWKRYVJFibQQAPLomJtL2aACEdsOEVuK7Qu4iTMxKunQMsR4Ym3oL3tDURVKa6hs6gYS+Lu
DcapoXdLYKEdmQFT74hdgsWk7NTYizVYJhKpVg6vxWTEDLzeI4XjwP5YjHgbe8SDVXwwXf9LDJ68
0oQ660+V8TdNifoaLEfT1qSZAdAgsiekSHyewJygW/fBz40chfQ9LSxT4GTr8IFmLIMm/jfJl5zG
v6feI+aqITPUGHAb0x76uE4HzALdPnmd50MCgBRXQ61WFLKhSmbO1kca+dAhkc+yxYFKs4lL6CJ4
VOV2lPmWaCSmqTSI3wYZfBufMZKiO5xtZAN5L8LUNEot11lmoYd5nZsd8tutWxhQqHDamSWdxHCP
UqLPRVgBkUEON/jXe6iPWFzeIz9IdO8LGGx/XUMVTwfKrgdoqEciAUpHWXQ0FW66DdFHkCU1JtMZ
fjSbk4HOria0IwGz04nXk1O3U2GrJ3TxglsYcTz8jDCGORcN8Dc3M676AoulK0IsphsmJ7x5NVbn
ImnXvKC15dnhdCPq8zctWZc4Pn5DQ5VqsA5t8r337IgluinqzEz2METytEyAEE+wD+FMy8HTCnbX
SdKLbjbcqqEsbpphuZc1KGQcLQt1bP7GVbc0ktk4O6NxAHe1TKsexhAq+gfZdp9gc2SVT0JbwP82
TlOXurToQyd4TweWDy/ZSN0rUabj3CX1JJ1lH197TvU4bbMT/ruSFiWXeJ+1psYGOWj/Q1vOILhk
tMVhEXefAT3AFxHD/hr2bX8mtK7XjwIKjMi7l4zyrUbK9ZJXZ+qRsK9GJBneZe/4fkuEZ4PYkeFQ
6Mg4NJmJZo12mBkPozYBpx1hfJ1XAwc7Jk0XHqAOtOr0o2shhYzmUz6xCYHCt/GH5ZI7m3VCa/pQ
VjJdCDqZA00VH8qS8TuZxOB/1XkVe57JSLv7c+fskkz9XOWu1ggQIHJxXCip/4a5vFmYInc/PG+7
BA1iHVy+6OUg1Ctlu2PrBjRwlcC29ZqVMF9ypiKJ9AplUtUNHvTB4EMaFIIWyslSjUleCsirgG/R
xn88GsaL4zcGAwQhW3nAkPmTrJe1KyGZwQ0Z9WcvMF1lCrJ/dnsWoMA+rHmMFFjnF73bcnTmo1u8
gj4YbcfihGoGvUWv2OgLFRBP2cGm1qR6fSmGYFvKGrZAGTOc/Dkbm+O3Fnt3VG7fDz2i80kErqiY
BE3THzyRi8CdeEQ6fSQ9Ju5heIcwnFykntrodMbDnqQ6ep8+h/I6YOA0/+Tx0dtjAFooXpJGMtWO
RG0TTeH58kaUrO/W2JHXsSCbEC7dwaoAxwyn9Rjo551mJtBbXuL+T4JLDhyT7D7MaNtXZ8k5i2os
wjd2VR62yqtWXdukFZeJazqmvFhqataze6U5vyLZnEyA1EUe6n52cHZtKopX+OuOUHwvsA0r8avq
YGyU4lAjfwZPeOr4ICqEwcV9W8AqMfNZoZT750PBb5afht/N8rGrOSsLcfbTk+PtOUAzzk9gus3y
jtVs5wHjbp0+CmU23BOY7F5FR9QOBu3BTY+wQcDrr0Hu/feMYHZZcsGhmJrFo68KVqNBVqvaEi6Y
MfsfNFdRyi4eqcblAinaLZKhrmd1xShNJwa6QMpQInDzK+KGbAb/rLQz3YA4LTPPi/ol71Fu94Ww
iEeBuuwYEMnFEO3A8Pk2OpuKRaL9ZiJZPU9VAieIrJhp+5gBql3VTMa/LHsXNlf9q3XQ7s0teP4T
G2ZHhk7XKwfXyB2O+P+bltWEaTSvL+7+vda56XswIGyOLlkYObssLFroxza2z//Q+KO2Cx6dMEFy
+kRcMqq3jyZTZ7gjrhz7JzmWQCQZcM3tBjsORtvs1Zwt8na6qLpVx2TMuLHo31y3d45l5W050vSO
y1FWWqBtALDwchOt7VwCE/RuUIlqrssQpZacfbfDaJV/RdvzslWGoFN0xr9IthDZLeQsFuxAunIu
b9rLd6hImoGY13hplIUXdSqhxDn849lcRNXcaVOeqljyteADeWRksZ5GJ12s+RZf60h59eDbpBi8
aZ4tEJJdGXUnJFhZiDpdno7Sn3EnCLs7zoCR+nYSp2uNULiQ5w8rI27DQdNUxiHSesJa7EDg0/0z
0dffHaXuIl5D0U7mT3Mq/GINGSuFhyIhoPGHgDw8iF61cj/D+GdUCW+GWnYjo7Z+ZnwgGmP0TXaI
NCuA169+P+eUO8c03A3XJBDZmfAxOaXUOleFKbazQYrXt/BbwZiqpjx50rR5W+2mmtFWl0T5owVX
hWtu5u2qEYyf9mvcydOaTHFKA/hyrTTyigMefDNkFH1f0BoLRWf2tC4y05WevR6dZeqceK7Qi5SB
fUVNVcIUfAD/p4Dmx4diZB873mWgqMkSn5SqsEb88siuUP8431tPN7M1xw7RAvJkjyNxcHr9X9BV
Tn5IpXVdsIvz0lh8BT3s7nquN78ThCmekhG/9pvsyAyplp2iJwq5mFZ4Y75gVQm4tElKSrCc1sVi
UYlEosYsOD6a/2ExrwRuCMM6Tw/QC7bioz43F0rAPNSFLggKET33pWCwc0Se7cpMvNze0/Jw772T
CywbHqYyLeV7fG3dE/LVBcNhzH6rcwCSO0aGcN7mBNTxyGjVuMPD1GCS82TW3qrqVx03B3Oue3TC
swTSkuC5WzHTc/JVuUjDDyzBSi1GRUVx6cHz64xD8uG11tLX0vFDRaubmzWFUUCriIAUu9YsRS99
lEAqTMcnCDtbhwZ0eH3MRizJ85LxeJC5kRx2k1jcWkaZQ7ctd5aSNmbtFHtV6TbiRA6ZPjSb+RT6
hwWxS13QVaxLHMSyekb+NsF8wIY8WehsK1JTowJWldVyFzNZGXQWrJpHGt1pW0ZijuSrKl/qv3E8
9xqGjSwZiAvLUCDTg5f0TjIoB5WmD1zmVBSIhds5YedvpPxcEFNBasSQ7asw4TcduXxmRRmC0bsV
4yUcJ9dCxaUsQl3WHYVJUss5zMzkizWsKIseDEz/LEP7nmpie1E88wwIF87ynuhi0xZO8IWuSTrO
3Gb9HRUjxqaT+C0yHo0zuRMKXt+/0ifd1Bb/IjaHWQrFGwZwior3h94jPA+lXyiK5oUz2lurwg3A
GY2NL8Aufr9/ZMhz6YEi8gdwEhCfoKECAUK+2QgPsruyD7s6k/praAamfQmMYGc3ZvXiuHb1ucud
c6KzpqbPS84fKKallwUxbCN2YZaPfp5Gjz1B/gWea4GSBAl74ycTBDKE4vCbUYCBfYTwC8vDMueM
RgO6/SqX+QtjDt0w3hDxlAEbYlejO8YWFG9w3XhDKEY91ZmDJOOqrMZ/KSh0rQD7U4iGBImW4a+P
6MzxMU/9hfVIHet43GzFf3wmYsueESMNDKEWCfxm6vEWm7fFfxKOGrNKgjnhV6sopF8RSukqVCjZ
NqFhSwdDJMF+h4P8LyYiV2NRJnwdilOjKevLNX3LwdBnmMx524ToRByEVn+hK8/xxKcR7VQ1IlLf
d+6kARF80jNiSwy/RurNUmxUmaq89dpQYzQgyAI4Prm4tGh9LHbxej3GCS21gcejT5J6WmqM/J7T
8wd8wOOm7/BckBRBriHy4astVqvFJRcFYyvQh8c30L7fxsuIVRYih0T9l0QTVykCElcd48u2RJbE
tom/QKu5FWd26YfIvbbClGqH+COTXQIUfAfNwZmHpXHGDenpiiNeqzmyI/MO9kR6ppP24xQI7HIZ
GsdwQvUnROjA5RgD1Xd6TzojO86go/hHpddAR2vZOJFKJFvmT0Eh9IrTcU4WfIEvsy/aDr5uOIlX
1HDn0PepUirUZh4XSKQprTitnyr37QK1N+polMtmSAu8zKDz+T7icpTOugoVwzBNsAoN/C5I0Fgm
yC64Gwl94F8iMiU/
`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
fDxVSk6DpGvLHz2WcuEB4uxargRrLYfxBC9JnBPIGNTInQFoGMSPlK4/zBoFfPq+jRHgLVdwAs7y
lMnXxMmSbg==
`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
lLrLMIf4xYRJG92GrqH4PqoIQeplVaVtu2YI2mhbEAxiebmO0Qovfl01Zj4NelUk/WaIuC1j/jvO
54f+h2tUpQB/e9LJwYzMtrpGCmeNjQPHGY8wfqJ4vItnFJ7Xs1f6PNItdeIaTTo1htHrBKaCRzKg
Gj8JpHAB+k9vq0NI6w8=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
J3B+e4UJdj7fhXEj7giGl7IEgmrVJxmZ+9Ab012msKVUWQv6+VKsZOR31Vk69WtpB4L+MKCZrMCs
odaNV2MiAd2AnsxktSUHWCcbYPakGgVjpLu2KdxPuXNoc0cCqsKOGuyLhem3igWr5I6r1TaJlr0a
oysG848HT7Bfpufx/voOjHuWqOrAZCwg9J7kdPTT+gWmwPDUV21GOqr1CZ7BFAYpOcAmuWk4MHpg
e4kbWuBwlRl6ohiXL49B0bohimAerWgFzj5jYoduoHFmSKB1bMokTqZ8A3VRYCehGb8kOIkGygZ3
Zfc0Db98zI064oEUHKLm0GI7muACzw+71c8uxg==
`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
WQJW2oyV5T3P6gys3w8CH7YWhEJrta2x74I6RzI5rwt93ULO72+FYqzXieG0jYin/cwo07ibXF+x
8EcRPP1q+dn13YncivrBrZnowUZssKbzohqRiUom2eGgVofNHHZ2u4yORYddmDtCKuRwMQqOA10A
Qlv/8gtuGovOtfr+Ym0=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
gxuGp9VkpRAcPJ1tVoGxfOsUqd5IKMFO9+ilNThW2ka5+mhr6R9aRgZj/HF0EVgpXPVl9muwmGax
wdbczsQ3HFB+G9UJ/ExtqrBCNs1wxPJSuesnJI2uy3ALxbu2JWtQNLjzHxWHoIMVDQdV1ykqDoi7
a0z6Gbd1Z1TVTV6yTOA1vJhoZBPLDwx28ceY84krdAGA1GV16ElsS0OBiy5NpHCREGwEdkpjMKZf
f4TDxK32YuXzVFO9QnnqyJhsy3S9hrd/R2riu3j+elHgxtEJdJQcdhvel5ajubic3yzl540RpSGQ
ULAuqubzDvptrYNZCJnaGcE7jxH4R410VkSzTA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 44016)
`protect data_block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`protect end_protected
|
--------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 17:38:16 02/12/2014
-- Design Name:
-- Module Name: /home/preston/Dropbox/EE4321-VHDL/Project-2-4bit-adder/rca_4_bit_testBench.vhd
-- Project Name: Project-2-4bit-adder
-- Target Device:
-- Tool versions:
-- Description:
--
-- VHDL Test Bench Created by ISE for module: rca_4_bit
--
-- Dependencies:
--
-- Revision:
-- Revision 0.01 - File Created
-- Additional Comments:
--
-- 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;
USE ieee.numeric_std.ALL;
USE ieee.std_logic_unsigned.ALL;
-- Uncomment the following library declaration if using
-- arithmetic functions with Signed or Unsigned values
--USE ieee.numeric_std.ALL;
ENTITY rca_4_bit_testBench IS
END rca_4_bit_testBench;
ARCHITECTURE behavior OF rca_4_bit_testBench IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT rca_4_bit
PORT(
A : IN std_logic_vector(3 downto 0);
B : IN std_logic_vector(3 downto 0);
Cin : IN std_logic;
Sum : OUT std_logic_vector(3 downto 0);
Cout : OUT std_logic
);
END COMPONENT;
--Inputs
signal A : std_logic_vector(3 downto 0) := (others => '0');
signal B : std_logic_vector(3 downto 0) := (others => '0');
signal Cin : std_logic := '0';
--Outputs
signal Sum : std_logic_vector(3 downto 0);
signal Cout : std_logic;
-- No clocks detected in port list. Replace <clock> below with
-- appropriate port name
--constant <clock>_period : time := 10 ns;
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: rca_4_bit PORT MAP (
A => A,
B => B,
Cin => Cin,
Sum => Sum,
Cout => Cout
);
-- Clock process definitions
--<clock>_process :process
--begin
-- <clock> <= '0';
-- wait for <clock>_period/2;
-- <clock> <= '1';
-- wait for <clock>_period/2;
--end process;
-- Stimulus process
stim_proc: process
variable count : integer :=0;
begin
A <= "0000";
B <= "0000";
-- TEST ADDER FUNCTIONALITY
Cin <= '0';
wait for 1 ns;
for i in 0 to 15 loop
for j in 0 to 15 loop
wait for 1 ns;
if NOT(Sum = (A+B)) then
assert Sum = (A + B) report "Sum should have been " &
integer'image(to_integer(unsigned((A+B)))) & " with A=" &
integer'image(to_integer(unsigned(A))) & " and B=" &
integer'image(to_integer(unsigned(B))) & " but instead Sum was " &
integer'image(to_integer(unsigned(Sum))) severity ERROR;
count := count + 1;
else
--nada
end if;
B <= B + "0001";
end loop;
A <= A + "0001";
end loop;
-- TEST SUBTRACTOR FUNCTIONALITY
Cin <= '1';
wait for 1 ns;
for i in 0 to 15 loop
for j in 0 to 15 loop
wait for 1 ns;
if NOT(Sum = (A-B)) then
assert Sum = (A - B) report "Sum should have been " &
integer'image(to_integer(unsigned((A-B)))) & " with A=" &
integer'image(to_integer(unsigned(A))) & " and B=" &
integer'image(to_integer(unsigned(B))) & " but instead Sum was " &
integer'image(to_integer(unsigned(Sum))) severity ERROR;
count := count + 1;
else
--nada
end if;
B <= B + "0001";
end loop;
A <= A + "0001";
end loop;
--wait for <clock>_period*10;
-- insert stimulus here
report "TEST FINISHED.";
report "ERROR COUNT: " & integer'image(count);
wait;
end process;
END;
|
-- $Id: tb_s3board_core.vhd 427 2011-11-19 21:04:11Z mueller $
--
-- Copyright 2010-2011 by Walter F.J. Mueller <W.F.J.Mueller@gsi.de>
--
-- This program is free software; you may redistribute and/or modify it under
-- the terms of the GNU General Public License as published by the Free
-- Software Foundation, either version 2, 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 complete details.
--
------------------------------------------------------------------------------
-- Module Name: tb_s3board_core - sim
-- Description: Test bench for s3board - core device handling
--
-- Dependencies: vlib/parts/issi/is61lv25616al
--
-- To test: generic, any s3board target
--
-- Target Devices: generic
-- Tool versions: xst 11.4, 13.1; ghdl 0.26-0.29
-- Revision History:
-- Date Rev Version Comment
-- 2011-11-19 427 1.0.2 now numeric_std clean
-- 2010-05-02 287 1.0.1 add sbaddr_(swi|btn) defs, now sbus addr 16,17
-- 2010-04-24 282 1.0 Initial version (from vlib/s3board/tb/tb_s3board)
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use ieee.std_logic_textio.all;
use std.textio.all;
use work.slvtypes.all;
use work.serport.all;
use work.simbus.all;
entity tb_s3board_core is
port (
I_SWI : out slv8; -- s3 switches
I_BTN : out slv4; -- s3 buttons
O_MEM_CE_N : in slv2; -- sram: chip enables (act.low)
O_MEM_BE_N : in slv4; -- sram: byte enables (act.low)
O_MEM_WE_N : in slbit; -- sram: write enable (act.low)
O_MEM_OE_N : in slbit; -- sram: output enable (act.low)
O_MEM_ADDR : in slv18; -- sram: address lines
IO_MEM_DATA : inout slv32 -- sram: data lines
);
end tb_s3board_core;
architecture sim of tb_s3board_core is
signal R_SWI : slv8 := (others=>'0');
signal R_BTN : slv4 := (others=>'0');
constant sbaddr_swi: slv8 := slv(to_unsigned( 16,8));
constant sbaddr_btn: slv8 := slv(to_unsigned( 17,8));
begin
MEM_L : entity work.is61lv25616al
port map (
CE_N => O_MEM_CE_N(0),
OE_N => O_MEM_OE_N,
WE_N => O_MEM_WE_N,
UB_N => O_MEM_BE_N(1),
LB_N => O_MEM_BE_N(0),
ADDR => O_MEM_ADDR,
DATA => IO_MEM_DATA(15 downto 0)
);
MEM_U : entity work.is61lv25616al
port map (
CE_N => O_MEM_CE_N(1),
OE_N => O_MEM_OE_N,
WE_N => O_MEM_WE_N,
UB_N => O_MEM_BE_N(3),
LB_N => O_MEM_BE_N(2),
ADDR => O_MEM_ADDR,
DATA => IO_MEM_DATA(31 downto 16)
);
proc_simbus: process (SB_VAL)
begin
if SB_VAL'event and to_x01(SB_VAL)='1' then
if SB_ADDR = sbaddr_swi then
R_SWI <= to_x01(SB_DATA(R_SWI'range));
end if;
if SB_ADDR = sbaddr_btn then
R_BTN <= to_x01(SB_DATA(R_BTN'range));
end if;
end if;
end process proc_simbus;
I_SWI <= R_SWI;
I_BTN <= R_BTN;
end sim;
|
-- -------------------------------------------------------------
--
-- Generated Architecture Declaration for rtl of inst_eba_e
--
-- Generated
-- by: wig
-- on: Mon Mar 22 13:27:29 2004
-- cmd: H:\work\mix_new\mix\mix_0.pl -strip -nodelta ../../mde_tests.xls
--
-- !!! Do not edit this file! Autogenerated by MIX !!!
-- $Author: wig $
-- $Id: inst_eba_e-rtl-a.vhd,v 1.1 2004/04/06 10:50:25 wig Exp $
-- $Date: 2004/04/06 10:50:25 $
-- $Log: inst_eba_e-rtl-a.vhd,v $
-- Revision 1.1 2004/04/06 10:50:25 wig
-- Adding result/mde_tests
--
--
-- Based on Mix Architecture Template built into RCSfile: MixWriter.pm,v
-- Id: MixWriter.pm,v 1.37 2003/12/23 13:25:21 abauer Exp
--
-- Generator: mix_0.pl Revision: 1.26 , wilfried.gaensheimer@micronas.com
-- (C) 2003 Micronas GmbH
--
-- --------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
-- No project specific VHDL libraries/arch
--
--
-- Start of Generated Architecture rtl of inst_eba_e
--
architecture rtl of inst_eba_e is
-- Generated Constant Declarations
--
-- Components
--
-- Generated Components
--
-- Nets
--
--
-- Generated Signal List
--
--
-- End of Generated Signal List
--
begin
--
-- Generated Concurrent Statements
--
-- Generated Signal Assignments
--
-- Generated Instances
--
-- Generated Instances and Port Mappings
end rtl;
--
--!End of Architecture/s
-- --------------------------------------------------------------
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
entity explosion is
port(
clk, not_reset: in std_logic;
px_x, px_y: in std_logic_vector(9 downto 0);
destruction: in std_logic;
origin_x, origin_y: std_logic_vector(9 downto 0);
rgb_pixel: out std_logic_vector(2 downto 0)
);
end explosion;
architecture behaviour of explosion is
-- frame size (32x32 px)
constant SIZE: integer := 32;
-- colour masks
constant RED: std_logic_vector := "100";
constant YELLOW: std_logic_vector := "110";
-- for delay of 100ms
constant DELAY: integer := 2000000;
signal counter, counter_next: std_logic_vector(20 downto 0);
type states is (idle, state1, state2, state3);
signal state, state_next: states;
signal output_enable: std_logic;
-- address is made of row and column adresses
-- addr <= (row_address & col_address);
signal addr: std_logic_vector(9 downto 0);
signal row_address, col_address: std_logic_vector(4 downto 0);
signal explosion_rgb, explosion_mask: std_logic_vector(2 downto 0);
begin
process(clk, not_reset)
begin
if not_reset = '0' then
state <= idle;
counter <= (others => '0');
elsif falling_edge(clk) then
state <= state_next;
counter <= counter_next;
end if;
end process;
animation: process(state, counter, destruction)
begin
state_next <= state;
counter_next <= counter;
case state is
when idle =>
counter_next <= (others => '0');
if destruction = '1' then
state_next <= state1;
end if;
when state1 =>
if counter = DELAY - 1 then
counter_next <= (others => '0');
state_next <= state2;
else
counter_next <= counter + 1;
end if;
when state2 =>
if counter = DELAY - 1 then
counter_next <= (others => '0');
state_next <= state3;
else
counter_next <= counter + 1;
end if;
when state3 =>
if counter = DELAY - 1 then
counter_next <= (others => '0');
state_next <= idle;
else
counter_next <= counter + 1;
end if;
end case;
end process;
output_enable <= '1' when (state /= idle and
px_x >= origin_x and
px_x < origin_x + SIZE and
px_y >= origin_y and
px_y < origin_y + SIZE) else
'0';
explosion_mask <= explosion_rgb when state = state1 and
-- only allow reg through
explosion_rgb(1) = '0' else
explosion_rgb when state = state2 and
-- allow red and yellow through
explosion_rgb(0) = '0' else
-- allow all colours through
explosion_rgb when state = state3 else
(others => '0');
rgb_pixel <= explosion_mask when output_enable = '1' else (others => '0');
row_address <= px_y(4 downto 0) - origin_y(4 downto 0);
col_address <= px_x(4 downto 0) - origin_x(4 downto 0);
addr <= row_address & col_address;
explosion:
entity work.explosion_rom(content)
port map(addr => addr, data => explosion_rgb);
end behaviour; |
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
entity explosion is
port(
clk, not_reset: in std_logic;
px_x, px_y: in std_logic_vector(9 downto 0);
destruction: in std_logic;
origin_x, origin_y: std_logic_vector(9 downto 0);
rgb_pixel: out std_logic_vector(2 downto 0)
);
end explosion;
architecture behaviour of explosion is
-- frame size (32x32 px)
constant SIZE: integer := 32;
-- colour masks
constant RED: std_logic_vector := "100";
constant YELLOW: std_logic_vector := "110";
-- for delay of 100ms
constant DELAY: integer := 2000000;
signal counter, counter_next: std_logic_vector(20 downto 0);
type states is (idle, state1, state2, state3);
signal state, state_next: states;
signal output_enable: std_logic;
-- address is made of row and column adresses
-- addr <= (row_address & col_address);
signal addr: std_logic_vector(9 downto 0);
signal row_address, col_address: std_logic_vector(4 downto 0);
signal explosion_rgb, explosion_mask: std_logic_vector(2 downto 0);
begin
process(clk, not_reset)
begin
if not_reset = '0' then
state <= idle;
counter <= (others => '0');
elsif falling_edge(clk) then
state <= state_next;
counter <= counter_next;
end if;
end process;
animation: process(state, counter, destruction)
begin
state_next <= state;
counter_next <= counter;
case state is
when idle =>
counter_next <= (others => '0');
if destruction = '1' then
state_next <= state1;
end if;
when state1 =>
if counter = DELAY - 1 then
counter_next <= (others => '0');
state_next <= state2;
else
counter_next <= counter + 1;
end if;
when state2 =>
if counter = DELAY - 1 then
counter_next <= (others => '0');
state_next <= state3;
else
counter_next <= counter + 1;
end if;
when state3 =>
if counter = DELAY - 1 then
counter_next <= (others => '0');
state_next <= idle;
else
counter_next <= counter + 1;
end if;
end case;
end process;
output_enable <= '1' when (state /= idle and
px_x >= origin_x and
px_x < origin_x + SIZE and
px_y >= origin_y and
px_y < origin_y + SIZE) else
'0';
explosion_mask <= explosion_rgb when state = state1 and
-- only allow reg through
explosion_rgb(1) = '0' else
explosion_rgb when state = state2 and
-- allow red and yellow through
explosion_rgb(0) = '0' else
-- allow all colours through
explosion_rgb when state = state3 else
(others => '0');
rgb_pixel <= explosion_mask when output_enable = '1' else (others => '0');
row_address <= px_y(4 downto 0) - origin_y(4 downto 0);
col_address <= px_x(4 downto 0) - origin_x(4 downto 0);
addr <= row_address & col_address;
explosion:
entity work.explosion_rom(content)
port map(addr => addr, data => explosion_rgb);
end behaviour; |
library ieee;
use ieee.std_logic_1164.all;
entity generic_enabler_tb is
end;
architecture generic_enabler_tb_func of generic_enabler_tb is
signal rst_in: std_logic:='1';
signal enable_out: std_logic:='0';
signal clk_in: std_logic:='0';
component generic_enabler is
generic(PERIOD:natural := 1000000 ); --1MHz
port(
clk: in std_logic;
rst: in std_logic;
ena_out: out std_logic
);
end component;
begin
clk_in <= not(clk_in) after 1 ns;
rst_in <= '0' after 50 ns;
generic_enabler_map: generic_enabler generic map(4)
port map(
clk => clk_in,
rst => rst_in,
ena_out => enable_out
);
end architecture;
|
library ieee;
use ieee.std_logic_1164.all;
entity generic_enabler_tb is
end;
architecture generic_enabler_tb_func of generic_enabler_tb is
signal rst_in: std_logic:='1';
signal enable_out: std_logic:='0';
signal clk_in: std_logic:='0';
component generic_enabler is
generic(PERIOD:natural := 1000000 ); --1MHz
port(
clk: in std_logic;
rst: in std_logic;
ena_out: out std_logic
);
end component;
begin
clk_in <= not(clk_in) after 1 ns;
rst_in <= '0' after 50 ns;
generic_enabler_map: generic_enabler generic map(4)
port map(
clk => clk_in,
rst => rst_in,
ena_out => enable_out
);
end architecture;
|
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:ip:xlslice:1.0
-- IP Revision: 0
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
LIBRARY work;
USE work.xlslice;
ENTITY RAT_slice_1_0_0 IS
PORT (
Din : IN STD_LOGIC_VECTOR(17 DOWNTO 0);
Dout : OUT STD_LOGIC_VECTOR(7 DOWNTO 0)
);
END RAT_slice_1_0_0;
ARCHITECTURE RAT_slice_1_0_0_arch OF RAT_slice_1_0_0 IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF RAT_slice_1_0_0_arch: ARCHITECTURE IS "yes";
COMPONENT xlslice IS
GENERIC (
DIN_WIDTH : INTEGER;
DIN_FROM : INTEGER;
DIN_TO : INTEGER
);
PORT (
Din : IN STD_LOGIC_VECTOR(17 DOWNTO 0);
Dout : OUT STD_LOGIC_VECTOR(7 DOWNTO 0)
);
END COMPONENT xlslice;
ATTRIBUTE X_CORE_INFO : STRING;
ATTRIBUTE X_CORE_INFO OF RAT_slice_1_0_0_arch: ARCHITECTURE IS "xlslice,Vivado 2016.4";
ATTRIBUTE CHECK_LICENSE_TYPE : STRING;
ATTRIBUTE CHECK_LICENSE_TYPE OF RAT_slice_1_0_0_arch : ARCHITECTURE IS "RAT_slice_1_0_0,xlslice,{}";
ATTRIBUTE CORE_GENERATION_INFO : STRING;
ATTRIBUTE CORE_GENERATION_INFO OF RAT_slice_1_0_0_arch: ARCHITECTURE IS "RAT_slice_1_0_0,xlslice,{x_ipProduct=Vivado 2016.4,x_ipVendor=xilinx.com,x_ipLibrary=ip,x_ipName=xlslice,x_ipVersion=1.0,x_ipCoreRevision=0,x_ipLanguage=VHDL,x_ipSimLanguage=MIXED,DIN_WIDTH=18,DIN_FROM=7,DIN_TO=0}";
BEGIN
U0 : xlslice
GENERIC MAP (
DIN_WIDTH => 18,
DIN_FROM => 7,
DIN_TO => 0
)
PORT MAP (
Din => Din,
Dout => Dout
);
END RAT_slice_1_0_0_arch;
|
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:ip:xlslice:1.0
-- IP Revision: 0
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
LIBRARY work;
USE work.xlslice;
ENTITY RAT_slice_1_0_0 IS
PORT (
Din : IN STD_LOGIC_VECTOR(17 DOWNTO 0);
Dout : OUT STD_LOGIC_VECTOR(7 DOWNTO 0)
);
END RAT_slice_1_0_0;
ARCHITECTURE RAT_slice_1_0_0_arch OF RAT_slice_1_0_0 IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF RAT_slice_1_0_0_arch: ARCHITECTURE IS "yes";
COMPONENT xlslice IS
GENERIC (
DIN_WIDTH : INTEGER;
DIN_FROM : INTEGER;
DIN_TO : INTEGER
);
PORT (
Din : IN STD_LOGIC_VECTOR(17 DOWNTO 0);
Dout : OUT STD_LOGIC_VECTOR(7 DOWNTO 0)
);
END COMPONENT xlslice;
ATTRIBUTE X_CORE_INFO : STRING;
ATTRIBUTE X_CORE_INFO OF RAT_slice_1_0_0_arch: ARCHITECTURE IS "xlslice,Vivado 2016.4";
ATTRIBUTE CHECK_LICENSE_TYPE : STRING;
ATTRIBUTE CHECK_LICENSE_TYPE OF RAT_slice_1_0_0_arch : ARCHITECTURE IS "RAT_slice_1_0_0,xlslice,{}";
ATTRIBUTE CORE_GENERATION_INFO : STRING;
ATTRIBUTE CORE_GENERATION_INFO OF RAT_slice_1_0_0_arch: ARCHITECTURE IS "RAT_slice_1_0_0,xlslice,{x_ipProduct=Vivado 2016.4,x_ipVendor=xilinx.com,x_ipLibrary=ip,x_ipName=xlslice,x_ipVersion=1.0,x_ipCoreRevision=0,x_ipLanguage=VHDL,x_ipSimLanguage=MIXED,DIN_WIDTH=18,DIN_FROM=7,DIN_TO=0}";
BEGIN
U0 : xlslice
GENERIC MAP (
DIN_WIDTH => 18,
DIN_FROM => 7,
DIN_TO => 0
)
PORT MAP (
Din => Din,
Dout => Dout
);
END RAT_slice_1_0_0_arch;
|
`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
I7to3F9VXwBiBDxdfzZs8DRQE7v9gjq+DzDuSqhe1nBYk35JOy9eZcxKaE28Z86HVOr9sUwsvLSp
yZHTQbEonQ==
`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
jVwK58zbG+YlnGrQDAFO91nOePjh6VirDhojcU4nKfOqYiQ+U0v0xABqEES7V8okYDTcx+Sgp3b/
++iGNLqJDetPG0qg9H6wmz1v+8vhjlQ55YgQRTROUlI1l/b5GzCUivBuYz0jOTU3OysPKgtrlfY2
EyoiBBaiehIzhwjW6oY=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
kkA5Fr5R/uP/D14Y9Cr23tzbQvMqQJgBfAUp7gcwbFny7GKznme1EW2aTtifw6epIAedMEwX+tMY
lZmC7Ac0cAJJjJqYSgQUDJIK1liX2AfCL5tRc32Cfy0ghYCNhVOODQ1Hrx5Hoa6UGIx5vZ/ZjZum
Zp3wC1dn8GB9gGzWF9GSgTOiwqFnK5CSdwUdRLjTiPL/nMloxSUeoaoIXzbvrUH5D6uMilT2f2Ic
d/dlU/Ks9ndVN4wq4ULgcQ8Wkp3/jwJdOTBo7qHozDSoylfWDxp381CGWlQr2ekBVoDXSnemksrV
+EaP1DaY3EnzpBYDi69v+nYzHCe4x2ZSW5NSNw==
`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
SpfynsUeHBVqWUDLRXXvcaarBfYtKZx+mmvJr0XOPLs6d+XdU6xHtIjOmdtAqrDt0BTUw4XE06fm
O9aI/HhEIDZlJb6bEeyanPAuDzS3Mt4p34lQm2Qowpji3IFunJxf+JVQqbQrb1SYc2gVFg4SxvX7
gaT4rG5J/GfYpbDpqwE=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
sFf/sM8HbLyoLipWkainPQm4uGTgR5vyyfxB3N2jf4pMwDwWIm75T34bMAk7zdcxNN19ng8+Pgpw
S5TcXUQ4oErcjgWljoePtBZ162lBb7bTm9ntA+IbEAmIHC8vcRPS1WE0Kyor13uChcxuw4JqcYaI
VMHawqdzah6DAN4W2U4CoWrBCPuLH0pjSJmwY6Ccb/aVXKCxiLOi3JXO+NFUijerExGyrXlLo2vF
+NQUq1Ux7eQhRa4HhakcMZWjvK3lBznll98tQyyPFm2dE9M8M63hkr1Nk8c2N4eEGSFFE6trgIUO
KnyrAVFN7f3z0zcj3+VDCZ/FfVEVFqDyHtZO7g==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 17488)
`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
I7to3F9VXwBiBDxdfzZs8DRQE7v9gjq+DzDuSqhe1nBYk35JOy9eZcxKaE28Z86HVOr9sUwsvLSp
yZHTQbEonQ==
`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
jVwK58zbG+YlnGrQDAFO91nOePjh6VirDhojcU4nKfOqYiQ+U0v0xABqEES7V8okYDTcx+Sgp3b/
++iGNLqJDetPG0qg9H6wmz1v+8vhjlQ55YgQRTROUlI1l/b5GzCUivBuYz0jOTU3OysPKgtrlfY2
EyoiBBaiehIzhwjW6oY=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
kkA5Fr5R/uP/D14Y9Cr23tzbQvMqQJgBfAUp7gcwbFny7GKznme1EW2aTtifw6epIAedMEwX+tMY
lZmC7Ac0cAJJjJqYSgQUDJIK1liX2AfCL5tRc32Cfy0ghYCNhVOODQ1Hrx5Hoa6UGIx5vZ/ZjZum
Zp3wC1dn8GB9gGzWF9GSgTOiwqFnK5CSdwUdRLjTiPL/nMloxSUeoaoIXzbvrUH5D6uMilT2f2Ic
d/dlU/Ks9ndVN4wq4ULgcQ8Wkp3/jwJdOTBo7qHozDSoylfWDxp381CGWlQr2ekBVoDXSnemksrV
+EaP1DaY3EnzpBYDi69v+nYzHCe4x2ZSW5NSNw==
`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
SpfynsUeHBVqWUDLRXXvcaarBfYtKZx+mmvJr0XOPLs6d+XdU6xHtIjOmdtAqrDt0BTUw4XE06fm
O9aI/HhEIDZlJb6bEeyanPAuDzS3Mt4p34lQm2Qowpji3IFunJxf+JVQqbQrb1SYc2gVFg4SxvX7
gaT4rG5J/GfYpbDpqwE=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
sFf/sM8HbLyoLipWkainPQm4uGTgR5vyyfxB3N2jf4pMwDwWIm75T34bMAk7zdcxNN19ng8+Pgpw
S5TcXUQ4oErcjgWljoePtBZ162lBb7bTm9ntA+IbEAmIHC8vcRPS1WE0Kyor13uChcxuw4JqcYaI
VMHawqdzah6DAN4W2U4CoWrBCPuLH0pjSJmwY6Ccb/aVXKCxiLOi3JXO+NFUijerExGyrXlLo2vF
+NQUq1Ux7eQhRa4HhakcMZWjvK3lBznll98tQyyPFm2dE9M8M63hkr1Nk8c2N4eEGSFFE6trgIUO
KnyrAVFN7f3z0zcj3+VDCZ/FfVEVFqDyHtZO7g==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 17488)
`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
I7to3F9VXwBiBDxdfzZs8DRQE7v9gjq+DzDuSqhe1nBYk35JOy9eZcxKaE28Z86HVOr9sUwsvLSp
yZHTQbEonQ==
`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
jVwK58zbG+YlnGrQDAFO91nOePjh6VirDhojcU4nKfOqYiQ+U0v0xABqEES7V8okYDTcx+Sgp3b/
++iGNLqJDetPG0qg9H6wmz1v+8vhjlQ55YgQRTROUlI1l/b5GzCUivBuYz0jOTU3OysPKgtrlfY2
EyoiBBaiehIzhwjW6oY=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
kkA5Fr5R/uP/D14Y9Cr23tzbQvMqQJgBfAUp7gcwbFny7GKznme1EW2aTtifw6epIAedMEwX+tMY
lZmC7Ac0cAJJjJqYSgQUDJIK1liX2AfCL5tRc32Cfy0ghYCNhVOODQ1Hrx5Hoa6UGIx5vZ/ZjZum
Zp3wC1dn8GB9gGzWF9GSgTOiwqFnK5CSdwUdRLjTiPL/nMloxSUeoaoIXzbvrUH5D6uMilT2f2Ic
d/dlU/Ks9ndVN4wq4ULgcQ8Wkp3/jwJdOTBo7qHozDSoylfWDxp381CGWlQr2ekBVoDXSnemksrV
+EaP1DaY3EnzpBYDi69v+nYzHCe4x2ZSW5NSNw==
`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
SpfynsUeHBVqWUDLRXXvcaarBfYtKZx+mmvJr0XOPLs6d+XdU6xHtIjOmdtAqrDt0BTUw4XE06fm
O9aI/HhEIDZlJb6bEeyanPAuDzS3Mt4p34lQm2Qowpji3IFunJxf+JVQqbQrb1SYc2gVFg4SxvX7
gaT4rG5J/GfYpbDpqwE=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
sFf/sM8HbLyoLipWkainPQm4uGTgR5vyyfxB3N2jf4pMwDwWIm75T34bMAk7zdcxNN19ng8+Pgpw
S5TcXUQ4oErcjgWljoePtBZ162lBb7bTm9ntA+IbEAmIHC8vcRPS1WE0Kyor13uChcxuw4JqcYaI
VMHawqdzah6DAN4W2U4CoWrBCPuLH0pjSJmwY6Ccb/aVXKCxiLOi3JXO+NFUijerExGyrXlLo2vF
+NQUq1Ux7eQhRa4HhakcMZWjvK3lBznll98tQyyPFm2dE9M8M63hkr1Nk8c2N4eEGSFFE6trgIUO
KnyrAVFN7f3z0zcj3+VDCZ/FfVEVFqDyHtZO7g==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 17488)
`protect data_block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==
`protect end_protected
|
-------------------------------------------------------------------------------
--! @file field_bus_serial.vhd
--! @author Johannes Walter <johannes.walter@cern.ch>
--! @copyright CERN TE-EPC-CCE
--! @date 2014-12-01
--! @brief Field-bus serial interface.
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library work;
use work.nf_pkg.all;
--! @brief Entity declaration of field_bus_serial
--! @details
--! Provide a serial interface over NanoFIP.
entity field_bus_serial is
port (
--! @name Clock and resets
--! @{
--! System clock
clk_i : in std_ulogic;
--! Asynchronous active-low reset
rst_asy_n_i : in std_ulogic;
--! Synchronous active-high reset
rst_syn_i : in std_ulogic;
--! @}
--! @name Gateway communication
--! @{
--! Start of field-bus cycle
start_i : in std_ulogic;
--! Commands
command_i : in nf_command_t;
--! Serial data
data_o : out std_ulogic_vector(7 downto 0);
--! Serial data number
data_num_o : out std_ulogic_vector(3 downto 0);
--! Serial data enable
data_en_o : out std_ulogic;
--! @}
--! @name Serial communication
--! @{
--! Serial receiver
rx_i : in std_ulogic;
--! Serial transmitter
tx_o : out std_ulogic);
--! @}
end entity field_bus_serial;
--! RTL implementation of field_bus_serial
architecture rtl of field_bus_serial is
---------------------------------------------------------------------------
--! @name Internal Registers
---------------------------------------------------------------------------
--! @{
signal data_num : unsigned(3 downto 0);
--! @}
---------------------------------------------------------------------------
--! @name Internal Wires
---------------------------------------------------------------------------
--! @{
signal cmd_fifo_rd_en : std_ulogic;
signal cmd_fifo_data : std_ulogic_vector(31 downto 0);
signal cmd_fifo_data_en : std_ulogic;
signal cmd_fifo_empty : std_ulogic;
signal cmd_fifo_wr_busy : std_ulogic;
signal cmd_fifo_rd_busy : std_ulogic;
signal stat_fifo_rd_en : std_ulogic;
signal stat_fifo_empty : std_ulogic;
signal stat_fifo_data_en : std_ulogic;
signal tx_data : std_ulogic_vector(7 downto 0);
signal tx_data_en : std_ulogic;
signal tx_done : std_ulogic;
signal rx_data : std_ulogic_vector(7 downto 0);
signal rx_data_en : std_ulogic;
signal array_tx_busy : std_ulogic;
--! @}
begin -- architecture rtl
---------------------------------------------------------------------------
-- Outputs
---------------------------------------------------------------------------
data_num_o <= std_ulogic_vector(data_num);
data_en_o <= stat_fifo_data_en;
---------------------------------------------------------------------------
-- Signal Assignments
---------------------------------------------------------------------------
cmd_fifo_rd_en <= (not command_i.serial_data_en) and (not cmd_fifo_wr_busy) and (not cmd_fifo_rd_busy) and (not cmd_fifo_empty) and (not array_tx_busy);
---------------------------------------------------------------------------
-- Instances
---------------------------------------------------------------------------
--! Command FIFO
cmd_fifo_inst : entity work.fifo_tmr
generic map (
depth_g => 8,
width_g => 32)
port map (
clk_i => clk_i,
rst_asy_n_i => rst_asy_n_i,
rst_syn_i => rst_syn_i,
wr_en_i => command_i.serial_data_en,
data_i => command_i.serial_data,
done_o => open,
full_o => open,
wr_busy_o => cmd_fifo_wr_busy,
rd_en_i => cmd_fifo_rd_en,
data_o => cmd_fifo_data,
data_en_o => cmd_fifo_data_en,
empty_o => cmd_fifo_empty,
rd_busy_o => cmd_fifo_rd_busy);
--! Status FIFO
stat_fifo_inst : entity work.fifo_tmr
generic map (
depth_g => 256,
width_g => 8)
port map (
clk_i => clk_i,
rst_asy_n_i => rst_asy_n_i,
rst_syn_i => rst_syn_i,
wr_en_i => rx_data_en,
data_i => rx_data,
done_o => open,
full_o => open,
wr_busy_o => open,
rd_en_i => stat_fifo_rd_en,
data_o => data_o,
data_en_o => stat_fifo_data_en,
empty_o => stat_fifo_empty,
rd_busy_o => open);
--! Array transmitter
array_tx_inst : entity work.array_tx
generic map (
data_count_g => 4,
data_width_g => 8)
port map (
clk_i => clk_i,
rst_asy_n_i => rst_asy_n_i,
rst_syn_i => rst_syn_i,
data_i => cmd_fifo_data,
data_en_i => cmd_fifo_data_en,
busy_o => array_tx_busy,
done_o => open,
tx_data_o => tx_data,
tx_data_en_o => tx_data_en,
tx_done_i => tx_done);
--! Serial transmitter
uart_tx_inst : entity work.uart_tx
generic map (
data_width_g => 8,
parity_g => 0,
stop_bits_g => 1,
num_ticks_g => 4166)
port map (
clk_i => clk_i,
rst_asy_n_i => rst_asy_n_i,
rst_syn_i => rst_syn_i,
data_i => tx_data,
data_en_i => tx_data_en,
busy_o => open,
done_o => tx_done,
tx_o => tx_o);
--! Serial receiver
uart_rx_inst : entity work.uart_rx
generic map (
data_width_g => 8,
parity_g => 0,
stop_bits_g => 1,
num_ticks_g => 4166)
port map (
clk_i => clk_i,
rst_asy_n_i => rst_asy_n_i,
rst_syn_i => rst_syn_i,
rx_i => rx_i,
data_o => rx_data,
data_en_o => rx_data_en,
error_o => open);
---------------------------------------------------------------------------
-- Registers
---------------------------------------------------------------------------
regs : process (clk_i, rst_asy_n_i) is
procedure reset is
begin
data_num <= to_unsigned(0, data_num'length);
end procedure reset;
begin -- process regs
if rst_asy_n_i = '0' then
reset;
elsif rising_edge(clk_i) then
if rst_syn_i = '1' then
reset;
else
stat_fifo_rd_en <= '0';
if start_i = '1' then
data_num <= to_unsigned(0, data_num'length);
stat_fifo_rd_en <= not stat_fifo_empty;
end if;
if stat_fifo_data_en = '1' and to_integer(data_num) < 6 then
data_num <= data_num + 1;
stat_fifo_rd_en <= not stat_fifo_empty;
end if;
end if;
end if;
end process regs;
end architecture rtl;
|
`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
IVwhzgVHKFB2TP6SX83tVoOReksmVLTwykf7EqjmQmvQHoRHd7DcADhY7xJsPg7C6AXuV0ijYLXr
UbOd4nCOWg==
`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
Qffey7EIYZkXN7F3er0naudl0RZTjehjK9zR6KRkkCRNvskh6Ltybmp3Kd6+6mra3PF/dWkVmdwA
suVsKeek1YL6zOCS9PYNm0/5SqZM1xRrzFShKjwJu3RnbV0DzvzFKQQK8/WRorsHLsCGfuRCzT6S
b1gBkUS19r2rk5spy8s=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Gihy4ZyPY3p7KAoPuAI/ElRDSpenpQzZDGMv6EShcwtmNILVFk90x9LoON5eORjc/LAZJE6HEpNi
bfCHy4zrppEKnbhz1kQMFByO9QPMkfHYd/fuf6eajfN+1V2UuX/WtPwH4y1Ubwv8mnniCFz9DoMN
/lHKB7iamvikJnL5LtoUE6QB4CtYYWfe0fTtvtLUzblpo17sGfzW+ep3XS6AaQ22I51MYMCYFMXg
YCtr/uWS2LyGcU76PxbPrIlwV0v4DUob+n8VJYS6y4zyHE9j3FdOco0Vcziz6c5BQGV2/G4XxBQS
i7Z/29GMeWA3rqOkYCz6YyeYC8IV9QFsmtf2dA==
`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
IxLnGj+xM6+dZLqf3uATSWp/dwUBgRfH13V8tqLmJpsFK/NMjL34R1lQEXNXNGyYX6CJWf3MjAlC
i6GAY2qF3rqdtq14W/A/6EnJ0bTFHV/4cPv9FesmSh+vLO4XwraeA9RtWUCHsJt2rDofPfsb+ZET
cM/g1BwjjV53NSW3IDk=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
HRaaP0NOEY3nvHDqjhUaRDp/0XP/wvXeKZ3qEAEk5uMToNTgxbOxLE5Gf3QQgNDwCh9uzHIMUW8Z
MDefVnLQ+MDZH+aVLDxu+bo3v4kC7OeF3OXEkK+3N+c/r63olXTVDCSJZqwBDapVxk6XpPaOFLrD
cTxVnvNx+Hha5zL1qHETTJGflNlcrXb7o8w1JkzfboT1UGHgmxyvYmoZOVAmal8I/X5w42XTwrBx
wV/wM7kcyKb/OlpvcD75eiviglvjssUhN4DXmNOi6A+0b4EvDTNL3klRt9CqJ2t0WuSLNZx1qasM
UUH+8pxQgDaVj+4JCJD5ACiUREI2Jo63N2/myg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20768)
`protect data_block
DWie/oL0y3sD16ZoM4GrselNwN+sk5QTMaa9FNgLNqEZmUV6pb2n91nWDeJee+x1JGqL1hUkceQM
s1yNVFq82AOWNMuX+FSmDAffkY7SUlftwUFKFp2QFaQnMa1KIGuW14k9raozDojbuFZwIzCiBXhp
onDj28eF37SBrAwISQAs76DU2lW+uIuy/DDQkVD5HNS2irHESwHc7fb/sl+asD7et1fbCRhrq25c
eV60Ln0a9Gj1TZRB3V8LRZu7S+X1gJjUSb7GNe69jCI8Ag8Bkei5SZmC0E/YRw+P79Yelq3EpOLg
EScxXUNlcQebIsUIvoq93w03VkBpQi4gI41tLA1CIWfqTENMR2X6klQCJIMbBef4PtlCPiIsnGP0
5DwbNSllvF3Ez9x+gr9S7A25lCHJMNafutJS2PonLK+AslWIk1IHQUPw0lDcMrRzofduwhSbtWJn
cQwNHuolJm2CDZpTRxqu9c9QzELstLobyeubgkgkNQ8+NeYHMpUqR2j9Yvh2Jl79sZR5GlOFeLly
GouKww23+RPsb03Yp9QnTqWrM2u/AeacIo9o14zunS7+Qlq4sxkWzzOKe7Am/IyzODvk+0SQWHaC
/mF74Csh/cnWSeyNKHpkoa6pohCSfQdKm7atwl8JBsoPTuDwNc6lP1fEg1zyIf1U+oLiPtqBSeyb
dvsNGdovJIAmTzLfTYVkpkvNVqlH3ld8O+JLZvEN4HTElrYyrLWoKRs4m/I/HlBAIHZSDOcM+wIY
83ll4rNfE5HkoRE3vjovwQu0/mQFG1tAClLWYrPjB4qCPMPWFPuyqLv1xsXQbQdIvLz1/QkiYy00
JU9zjotFFt1dTzc1Xok7qxAdJZEI2BVfECOcjJv5uB0BMDnldEcv/c85LRCddPOnFQDpjAjKO78l
49uIeQznngbji1ZEVTdjuaoor+Y2qtl2dY3EBIU0RlEVRc7YMJEliFjmn9elZJTb6QvFxLUEZu5g
0M5LmJNHJs9OXTF2CBBX2MTlSt88fR2MMFdhyHQbU6bRQSQB45b19ufSCWy1ilqtUgRPRVtcZtaK
LQChwOYwfkSSi+AgdlQaosNPt7JWuhje0AGH0OLuIzRjq8WoxyQHyFQQPfqdU/oB8FrmfynUkFkl
YF2pNJ0pydPos2pOrsFDD2T7urjhrZLaKSOERzQptoCxn10ZG7eZUvAKA2J2iihcVw3l9MtSc4VM
L4aBfMxKwoR5BsY8E7laLLAfJBLoUCl519qMD3OWljBGyvH0go/rALok6JiY3Nid9dPiF48CxWv7
bnIwnzqpopHSvmrXvzHa44tyxQbTC/gY2mvUDJ81iaizfc1vkBeElI9CIvX7N7o9S7howeI8m64v
RM1cjwryYXl/NsNe7kgUl9qIoIaenWNDirD9YdtpQ2MUQGPxbverngCYhVuqoQySbCwOaEONTCdJ
C1M4LdQDCPl5K7K/mO3TNSTt+opUjFVub+AzRNBnPg7IrTcrKjqb8PrE+/r5k6CByD4kh8eBw8jd
Kt1sUnpk46f3c5anE7szgJtbgUnkkA0XZDjAAL7B7iMtYPBODK6MHjjkVksftwPmUEMQwT3OMb+C
q0J7n3vIVXqmFJj9DMIiTMhoEomnMrpXpDS5mdPe5l34Sf3fOctv7jMSBBH3Ixc+NSvDbMVrId/k
r5/kBJXiW/WutzNT5lU0S9F+a/tnmjIn9QCf7nXCwqf9XAUIi1LAoPMvLyYu7uLCXifb6Gscka8m
JzhcBSNWC+dQKWknxYHSthVSMNTL1VJCKAsHpupE0S4otJ4MrrQ5k7/wB/MAWZ+KQs8uvR5pzW67
si6B1NBVxz4peS7J2OpZDlJ025F+J4SjI+/6CTm/R7PImGW+OSiVCKDiLv1LmScSZZGDU/YYiO1b
FGldxG7TbeNLq9lnBIXOcnP13Zf7x3jCatTqxXQpkGfzpImV9Fj5C2I854+My2CDomGL86y/X6rK
HGpvLV9+XPmrf1naMwTnn0WlhXamlRh3gQKC8z5UkE7biwrMV0GO1Svn5JteXapvaLtpexjydSc8
5uc2Puk+nlJiFC8F9jrGA/dBv09Q2tA9ACQYX2j7UpFzT7Z/JNCimcT9Caf3qNMGoOtj3+us4ncE
WSUdyNzjsLLCgHjx/Zcw5bvlEco8vB2XLnRAd+uGs/dRetcS6SW11dKaDNOaiYKDSvMfDERxUUwd
3y1ljtF8UUrJnsgebEtBnVoko8HlMYGVFgMJobK/ut+ZaJX6clC/OSzrzYZUx/w/kqGKyJaChHr4
6Ej/PTbAozB9MvQYDwNsKulnbNlKslWNEKYvp+tqUJFDgs82/IF+1/5YD9xfB/dbb59Bxeuxlv5g
BiYWeMcxDvbct0S24P2OKKhbup9Fhs6KDXcxhs7qDucvixUrwu6JznmQg3IsO+nst/lHCMGzN+yk
A8+3GZUKv15U7jqSzI1MQcWJAYWP22iOOnhY9HgdYtuhTalqSWJ79wQEAG/mSCRkYfskSRjtz6UO
ApZXswdBA2s+zykD6bPfH4qyHN2ZwzLLW685WVMVvUcWoNsCcTCumFHpa4BZXUrnRPqCiOQOEmqZ
Fd284s4PVOs4bFCGImWh2fJ9v8+mw45DUqE7SH3WicW1jQ3ipvmFEXyRw+3jY13WkG6ja1h+HX0a
r4ygK5MkXXOOA7TsPYz21TcfW6BxcyvfDmSoV+/UcdGhRvE2BW4JXY9UsUm35Y61SaWAZqkfIEut
CNY8WoyUXaWT1NvUuD2WTRIVnxtauTm9N/CGeTxqz3lB1QPl0fwdvxUJod3JBPDrdt2Wh7FNo2vW
C6TWnvetZk8NXYJfI8xfSyKw6zvJgvq7Kc27RqpnO6y5vYDvBB7orknZQhCRbMhUzu/y9XNUnFsl
AH4QKToPRuJ6ePsKBxUaWvPjIHbtHfqEnUhNw6M2EkBfGNOVCXz7hsznAOVccQNQVXSfoplbZ8JV
J6FYr5OAHSr1pooX7lXuWuNlXgt+ishLzJRKlqDRxTUAEfoMdqSiA60OvJVJy1X5OeiY8xZ8pjds
+RtnVptI3APEc79iZc+kc59ZtGHT29X7ljJZBmPmvzmSneYOQ4uAIH9BwhGY0ZPenKMW/N0MpWQd
h1mb4OUCVcDXO0t3iHNKNjd6Y379kxMQ3CoLNCoS0N2oGtTHUYNRspJ+bKzeQnCVcKoPX50Ly2R1
OlRTHbgN7qguUcQkXJ8T0QxHMeggTkHGjOpHQ68h0SVOKBFwAv+pDK15VuE1kUT4srs2hl0ILcHM
drTityNkwGHDJ6NBudPqT5jLWVIYvlor9c1PYTiHkgFxUDHKX52vs5OJ7GFithEwwk9io9h9I1Kc
wyJXfpKxM6sMA9zSTCgUyUnIav9pGqNkthhuJaOqFCFDdN2MUJb0lQgSdFZowuzKsSN9R5krjKvo
yMWGOMxznMb0wYTWs1jJ4P6VTpZbhtHigEI8IRDQp/G6EVUP4piEQub0etqGBLQwd03UJoyI5y8a
jBto22M/a+Bh8eTxVIttzSPxqyJl5Zkod0RjDRU57hM52h6qXYYo1Qqm5FN+Fnp3v9rdH3Tx07/G
BIK6HTArPZcRiT+N938NObL5QoeY81BRzwKJnr7PVi/eBGLlBcgS66GAJhr7dQU1fSqMyt9MfHu/
EIBuLMncbGdi8RY7pf8rMt9ZfrVbLCKzpkKCUIALjSG1EVyS7UWVvl2KQhePcp9Z6hOihosRlMrN
eUq+dR7coeX5pehuvl0FBPFJfi6T3lok3ilCUgOGARSnw2w4fBrcc95pp/7h2p7al9207TxyPnC9
5tmzERSHT07qfgc9EvbdzsTzsDUNPZJ6SKYh8XX3xtLMNT1N7IcUzpT/JLoBmZEzHXf+msK8TMov
OsjjBhlp6ONPQHFGCZCIEm3qpET9GaplvJbPEwjIVnfkhMwaoP2Gx1AmNtldM1ekMuuF/HXZLE9x
V4RxUGoyhIBSO+biQrSpXDXrz/YTjd1M/GbhdEI08HpO7IsDGy25qGTAYeyiqeR7HOzqgneHcFRD
wyH8rJ/MFSOmIh9L4j1QulrADOGi29i6oE07r/vhg+KPjt2hNIRvwuzPBa70TmhetCkAJdJXaJ1g
khjw88vAqvwMhI+gUxEoVH+ep8hZJbI5s5DUGoUbW9C8NdlgZQWlOFKeenDzN0SGd9rtMZmSbdne
D35Lsg98u+X0aNpTxud4h/QFVqnVuB89geZf7omUtYTbyeUslCXZGLRLxil0kSjj5u5MfA3wIJIq
wM39Aju0AonYI8ViAn7DGK/v6xDgKbOrEL9bvUj2b17QRfj3mlevU3x3G+LmsDXVwz3WxJoCLKiy
eIZOp+GihTkkOI2oJbMLcuLiX6+MblJ3VUyjVX+OnJbeGn4V8LV7B6FHgUDw6Xv6f9y9Jqs9RiZ4
E2ud9lFOiRUmyasb38dnK82/eb244yBuUv8eGG7wPEWnkK2EIlVZtGOd3JB2Zh2fs32wyTuDPRq6
1CBaxpdPQYrIiVX49JLZ5vVQrmYfsk5OkfvEBFcZS74cWo4kumu9s4xMpSkaz2OUm5qAzajGihWX
SK25kJMtudulhpygjuhxwXvrCkkua9/plX5yMNjIJGV9fuHaAZ4d7t3xhlPwj7Ta2A8wbc5fjc1e
XBy2ixmlBqcMXJzvT40tH1mzJfaI5IcVdANetIqOIFHeNEkrg38cOQ1OvaKU5AmnK/qgmYZckVeo
V/XqtrIcU+wAlETupdfCOf+0rF4rT1MpXvkVDAAsyYbmekCv1hMzlgYJdDstpu4eZETrVEDvFf7P
b1LdZsioV+vLr1OmC6Eti5hGljsok2nWwathbW1wJKUAjOdpAzMJqkvwAVwLiw9xMdCjl2MWlLtj
IC6obbwlxFGBjrEfNO7MRH0J+C+hHsa2RYlPhP6CVtLeZOQoOtLvScKKML4ENDZYBB24Ven75LZ9
r2XVQSrdB5bMkcmE/W1wIKdmC1kuVdg4r/kxPealfG+kX0JpJLb18w9TRmJ7aKfKvDKzzNoHq9r5
m+5bcOhmhdqhlOkmNTyg+a2Txdk5Xl2s7iwqGK0/JN9Chgm5dKKnEaozxy8F/U/Oj1POzc5DtRgy
ZHyVnkgu19NtOZGjoJQmGN5LM5wQ1EuN6GuNMK/8EpPUAtcl5JL4ZJCRgt0bKVJoe8++uWuIug7Z
CsrcuxKwX1jxcgfvUTy7+gYaB/ORMfZnHPbUAq4juvgtlssBZ8hbL6Vn5lMjaxVfJlTxa7v00/2M
+T6qZTxeQpe0THv1vL7CmYQiQhPyRsW05bXfaJG+TKJ2YRvEcDrSCINTTmivUEfWL813JLvEX4Ca
re3YVr/MmVeCXrXVZjDP32LsgGAwX9iVHSnI8khAaLO8c8jc2LYrqAOBYpIa561ugMKGX0j4N7wK
TakyyASNM6m1gg9a5ar8EfstclcgAS/krZqqyzFw3kdN/cQweHFkz251IbgPOqyok5gfZbPNTVPp
Ah/y3MuZs6JH1PmQgVNigBJD+sNkn/tKE5cB4SUMFFeo2XaFef/6JHlgl2uL36ZGD0SzqvpXQtS3
U9eDkGy4ikl2898gfnskd3IPd8sDxt3DPgXdrQeBJvFZcUWxl2WsDc7ws2nlCNdpyPYvYoObpFM8
nM1W1YLuvXl3GwXPhJqVMN6B92/KQLjEmigqdzNbCmuMjoXNVAfzQmRqbNO65AQao8Ch2XPnFORQ
6zPYJq3S5NNOibuRSbOsPMaj82GVf8SZNOpVlnF/TV7ggfj2pjkFPgKsCTJhNYbzk6IGGb27jHe6
4uk59xO69AuVn4ebrb7IlRFFv1twewjzPTjfabklqlRqfQmgQV22rLex42e1T5p/9K8qbjfRoX4m
tIr1uo0DBTSY3+xpeOhDZZC5P3QahMMMHEJ+LJaxU/jvXKfOxQyKXsMiZkOdWNPjWLN0hsi8f15B
8AhlliyYm5YQFJ6srfZN0od56B0rz8nikRiUKHlZpHzuBv+6M9z8USVepnnt5eJjXakdmxCoVyk3
+mTjU8jsapttXfPFKDpXEyMemhXv5giEJfZ5JOsa9jKC+HkDgqAYTgSwegGAuDzV8RWiY4GJ5Mnw
l+jojDA+jhUpEEmSQjxlCL3I/Tyc66ol4dQo9JtyPaeZMbK3MSDz+9pnSX1OK+CLHNk1ywrvwRh8
uAtPcD1kMHjrDNHqMyZBvnzwemfme7GyuCtNH5gZLeETCxgXEGk9GB7/moIBYXQLNJlRD6o4ahqs
79VZDXGJ/cee8tXvQ/YO9MNkwowZ+hwHXfXSXpSZlgRnoRNiW7bYAZEeAv3p+mYTh+2pC6X7kMQ4
XT9N/SN06hjB4Bnt+xktLbXmtSjo8guaNpbBksrJN7Ds8fBxBcPsH0HCoo4PgnjBaAAjOmXLZMQR
YMnPNUkrkdx0z93L3di2CxUukDDHG7OXZQPpdztYi8nxoKBAojaI+Odfi1jQp2dHKp/qjpkhgN2S
o3TA2qsmvNOnp1FLI09tc6zMKuUa9iZZzUAcG2VJay7MFscbBun/RsoOG5gAZ8YZ1Mr6450NuH1G
F8l8E6MrP/UKTnw0cxkOIk6al1V5FvtvY6L1Grjl4JbcYSd1BT/oRcn6CJTggIFksiMNd28bceyu
LNJIS/0RuK7CzmoZcFj+glgqGtPOMlq/mwFrwcosSVAnn56MaWfsK6K3oypPd0pMc81P7geOhv+y
IaXRGMNse3gE7dSKFM+mJ9yx7FwMwTFewU/85qpzi73YhdVR4xEhL9iMhsupEeZUlQlSY5z7Suh3
zN0OZk/p5ABjryHIV/JSC4kmsGQEY94qDeFJKnyp+D4aMmgmFfd+atrCGqCJyH+WfGEuJS/CUowM
JdZIgQ8imnny+089oJIe/H9z02oQjckAESFo4J7XSRpKYMz8MO75YbaBTHFk0kmspHWtfbw/qq4F
f0AzHi2/uhyaNp7eyzKOxFQeDGA0mZNtMuArhYxkWxMgxORW4ZhkrbXjeJ5U3lWtCvylDrbeEMf6
BKzwYcC3R+5mroEf2E/0OtsjVZMsI4zxnGUPq7J/QeciYWhgB78DIVzW8wj4O2jEHi1RYkkrTvTr
/pZ3PUwnlo0ekxyr5GqXt0hJwYJdOYIxWbYfi3z9+LXDDoNX/UPtduBhbosX+sbd5gI2KyLYSG5v
xwXEqRRmbx6vWt3WmSd2AgNVlg9PK/+oAT1lPvW/uifFo8T7ZKa9sghqtecSqtjswcsug9hORbN1
MJFLUL8QDAa3tLc2ImJNtuJxaQ6T0duFBVRS9WdJnYAVmEkTiYn03PVr5Nbf8wu5139Slu93ZdcF
4ORwwtSo0WxH7T59VUzjR5pIyTFUEBp+02jEktqi86vELt3v1wdo0ywu8uxSGmSKbFBlqlboRa5g
EoF4svH+6RmCqy0PdUUxBYjbli6zD6HhfqknX2ySoU1DdC+cm4LwNWG/TeG0j6HZjGL1/kvkudM0
AtRJYFyzi3oqyAl2JrrGSUnRJ54LkTb79WNGJLXeZDB6PC2gwYXK4J1tOTGskck4i4LL9Qrbhy0I
eH3q8tsuvNZ2UJHy7imZQwoG5OpugdnPExO8d2L+R/ma4vbfEytBUZC/Wa2lwHE4gQ2uB8mJvuL4
ImakHmvvZGfSxtDI/us+xXnbJIrPefeG7UX/kx1TF/xJGT2wsdWQASqQsoRhkVqLIIBCiAaR0OkR
707iFvBWIYoz2udq9fqdXelAOxwxojVhyRD7e2hH9qmhCIlxFIoEDUHmcD5RF31gYKbeZJ9dXC14
mlDGOST9OkgwbH5bxvyBbXQDesRVowKqMC2WMwppyaaJH5nYPV/kMfaef7e5/jWp/hIQhsh95Gil
5xwrdRDO1Oc+POMMF0/B4EteHlYaU64Anj4R5Qk9QIts9hEBFFJv9TArmNK7+zGjHHojF15mqpKj
UY43uBCX3zpqTJCNi0/cMCqSdt/MGh0asKI4Y9V4K2jEF/wvHt9BWa1DpwS+glhKd7mYw2kg+ErA
V2YXzAAaz53K8QEHg7eU7m1//pJjvSyYvVbCBo+jugfAyfIYFoGIEiKlvoWAKuO1CsxFMsjkgoil
NPiCzBvDFvsRJuXLN9NNeBOY8vIVosKDQYuwanhahfVtZ6v5KKvqsIV5BXyK+FLweQDXAG3BGkT2
4QOftXKV+4NnN/u3a8/EN1ab6V1fr/IEJFhcWGxlFqbZqa7coTDPnYZf1OuysM1w/zlFsaT6OLxE
VKL2+5MLDCQjwfauvqIJJy7wtlsnK9Yf+kW4IcJc43DvzOyM3f4UDOTEYWeJRtHvXnYDDScLI/LZ
akjUTNv1zTn2mTgGSvbaj0hN4IpZwjhRltEGsAV3ZMY2HtXjJIoQ4399mlwr19/64R5TsvUViNfD
ehAQUCK4K+H8RfqbpwjKMqLApAgDoE3adv/jCvxttqE8xliir0L7bj98r5rofLDC2zuVcd7OD2jT
W70vnUtVXb7gGYWx1j+Fc3ujp4iy8iv5JI3qUujRHnWHOuCysnCvWj8iEyWYVBYE+8GDgvRubnzb
aEAyBIJ1oXolJqE4X/4s3VBgI06TeSbqS8AKaWJJ0vJ6SWe8cFKfCIrcKEUvSAYl6q29vOBG7w0v
PRW7/KQuwssa6qYQTR1O0FDRJa4EOHEY3+g8dc1Xq+wjO5rniQArXdvLiLIq6XWazJcAgaUWLIOl
LxadM5wiOcCNWqKuImp+6d6MpExVGeNZocWKZGfhLvz+EQxqmDMHPjXOieiAuYAoZnmY3u9F3EoP
UKvO/8XKmfCFjP44gNQcryU2D4mzWCgVIqFQWBrFJLnvOTvzq9okuKjnqwwq+86M3IyvjCKHPB0l
u+u8rGNli7iOdiJshs6QSw/ausS4nqNDb3B/l2KbUmn10NGLq6RIvSvDzcGfrI/ozv668xvjKEkz
uUD1qeThz5Sgh+POIk3Ej8x6yfEuiVKuGn2eGSk4q6R9x2yF1QKqY3VNLQWVs8vzyPGVkwShUD5n
mpvbVQDpiD7neTUCMiCmRLsgpKbst5AD4jo+aZVJz0sI0TSza3yLeBJjXCBfikCuzfSAFeS48Drj
6j2FAjfknWpmjQie/fPzf2JnDi0T5ZwYmuDSldaSaIV1iFcXrNhA7TiQTSUHFMWqp5RO+QT4dtIf
Jt9gQPWWKO4aC3f2DRi8nqedcraHGB5I4hMj5Oygq5yXQcCiLEuFGXJA+9CESF6hN09D3lcRSpZf
V8OEkfnAZjRgaT3dIisuArj8bWUMC0ghZ8yjve4JngPl4znBn4GUroc7zMkqc90c6W8+j7EMLCEo
Z33RlgFEN2JPa+R0Je8hciA2zhmZKYSJURkEzJOZCG9xACy0O8vRqZJD+oVePyXYCqcfldJlSmei
/a1l/onJA6eIb9D9Ogjqf6SGasV2pYm5jf23JcV3jKvWelJh7kaFU3xpRYzkNbyvR3O7IPQ5b98t
1lbclLX+nL/djhe8HvoUf//xYbULZrUn9UEvjzEuNIiJYVGngVWb1qiC/ggMJMKbRUeLwDCc0wVT
DydW4X5o9YooddgK5XQHn5fzYcPbw432uJ0RpU53InWXuEvCaSHcregDH8KIgGOx5V6AamiGtT1r
Smp3F5Qxev9L0AjeBVOMrOeKNOeYZBTDLVA0veiFMxK4TiWho2LQACSbyfQ4EPXWmCzp+iphX/jt
gg7sCDvV26pNV8N7aEDb9qdHqxWBLvfZiip5byorgCHO8F9n2ho0fy+4t68VNURPmhjUhW6Qq0Ao
Fe05LcnKtw1h55HtwwBylP8CwKgAjfRlEJ38LHwsqSTGsJuQLQHtargV9/ghDvsBd2NoggBp3h2i
Fv9YYIsSNI/u2SJClyhU3uc4scZlaevZdHHJNUM/AVtTfwoljzvHKKINK5/52KXsKiZjwY0zCqRv
PYPSgM9hO0ePZC8Dzgp/vg1f9CNB7JDbFxwg5OFB3kRM1V/Zq2v9/0luj2BIHRf8cCi3ScAI9uGT
l/mPpBCqz3OfVGYEbUvcVgJPnwH6eZT/d7akWlHjZch8YPkxbBoeNNwXZuGCf+uFpzfS6ylvR+pc
7qrx/Zi+4siKTyIV3YK9zl2iR6xm/6jTYr6cEMv1ks0yvTS1VpTgcdmxDvGniTl8hwvFXhk9qlvq
1LzFXR/1z9J3lMpyIuFHaa6/D5To/RJzfjybnQZV+hyopqSnPKLmeohZJaBh92LyM0yitM8sntdN
Yzy1+/aSGzexFvBi1PIFhK99c10Sbnf7lacodVDufgW7a1daLIIlHrPEr8Olh8rx8vxFN8fT11ts
WP4WHWlV7G/lqgU6ryIOv25gGCBsv9J6+nMn5kt+54cz2j/J0f/12cvCM4Q+LcYoq5gZC3nbepi0
CmUWLWahFq9rFLn3aIwNUXoTSf9hzcQbfTjTn6RF45ZW9QdRk3B6/zJGDx3ixzmlZjUDFVe72NFM
QfTPHvUKHibWF3k7WWHy6OipATRIJ9RZ4eqRhzZ/bcdswMjqsk+Fcm4s3LE2jX8QaZsF0ZAZp+dG
kI0s/6ADE4UQL4twIki1nygAVkJW3rs79NnZa9hrCD6v/ezYxB3zjQt4Sxhc5NQHneYawpuJTJfq
qKmhVMfbBxSw14j1i4ST6cu7O+YJs2Aq/g1cHgD97jBcVcAhy7x/yyr9vGqzNGLZfXAO8SDBD278
94tbB0xwQW3+Exo0nwhsCC7AAZLPVYwRj2EZezLw16z/JtLvO4SL+d4W0k7FX9zFIWAx1JT5rOuE
baLmuJD4JwiTtaZPrmlFp9jBCb4gMHpwiYFne6armOpLIqNbZTOYso4zXmJRCukxcICiheHbfTAr
0lLLdEbJuSPPwbhmVNwh1pE6CUTgFibmCyYEDNbc9fVjcAodhV0jRR/UjgXr28RzSr/Nhe+k0GNh
aotkHBGU4qhrIwk0m1HGEZQGaYh3JURnECkZ1a226vBPmmLaazjAco2MzmHJcuyegNWFnxrQcW4R
iMW6y8QsiJDE85BRY1wBoPIwovNy3UBJkfjZM+AchaiyYOm5OoIyeo8ftwWd4mbfbAD7tMiiJ6sc
3G2fWSUHVgl2wFrDnPYlc6/tZE2pNOwOPC5a5cL2w7Eh6lPp+aX56u/j41O/Ws5PvdmY1ET0fHRg
/yJ0QbnVn0YfSz+ZRUj+7NtOYHhzEEB48sgqK9UGPDutIEWi+mJpJByyUw1VsbMF6dd4JC2nW2yT
FF3ahxNBJL86XTU25OgVbsAue7drI2GUraCd6Y4K7B3rgpgGLzSjk1J5d6CkrQe0qCCBI8+Rk8Ah
EkDIjbqhnqSsRXosN1NhvG/DgHNYQQUwwk2zyKEcNwL2UM/2J9TPzDDB6/WeH2dY4fY6jxrdmTnX
RvuTvWJP7rm4p6kXc+MugmHZTb20Y2CMU9vQ/rHggXG3wnx9GdBCXCZ17Erj7xbvzEorGxvAArW2
1519TyeyUR7Rg6ZI2Pew6pq8evUAjVEA5lA5OgFuFO0dHAWdaD8um5siOVgkRhFbscPFP3Y7lk3H
4Pe1uaeyZcGHi5mkTANSd+hPGm7p6r/zjPvRiixtshUGGioU+O6cHlbeSU0xtU02Wip07yBtNcRz
9vP99FshXHRKG2+YNTKAZc0WgorCZOu/TeNC0+UB8Y8fraLbqLgQhQFquFPVtq6cBp/Lyt4fUyj6
zTZDa1TyePKSmAXnEl6af9gxBjgZTmWkw8tfM1zIQKaapVH2CUg9WphQGRP5LeCDA8sDTOdzMnBr
vc3WfqKFX2LafkULvwmyK/roFw4u2MABjZ9Ch/eRhccKpQ9t0gCRN9faBCbNL+h7SfLN8HQWbyUz
596MiJgSYA7ukvHZ9QsToqQYUo1/2b+nkXEI0qp1isRUoHyLiIzX6ii3135wkwzU0Ap5Ybh7DM4L
XnG9xV+jGFC+ENSlOpLpIlsLO5w4xrWA1YI2y+glek6rWIl1cMc8xsYw0KX16sASpqtRFHA7lcXK
tBFz4G1oo3WizYmAA93k4ySyI9kH/fVmHjj6De/4CWCUDwCKfy1puyPMJBnZVm7KCuMGW4LKGmdL
I2oZG7nBUbUS/n0Yu3PJUYCjGpOCQG9vdJ2SMyIy2NUbe4hYJPr2EWsQZJXhNknXXDfyK/fTYAqc
JqkNJMnJsF9TI0ku+yIuaMKmZrZyDr57emDUhWsM8irucd/96WD7pI0LfJ+rBNMnPqqbH/nmVR0c
F49XSE75eX0u+oCAxmKhPnoKr1amYTyKfnuiouXdsvvBpQqcQzNYSGDTZ/tRtOYO6A6WZtx5gjkI
RRzTSCWkJA5F71EQwiHgl1G+4iQMMWq7/kSYxz3olNgkjCsYvGLvU5AMo16ugxkE5J6SMm82W3T0
L6agFGIbzQLWS+9rMVeveVL+F7BAh9eF7kvaoUCnNcZ66KfLWsJN8lfRLA/GFlaBwbXylbOKAem1
075jOWaOfOdc6GbhzJIsabTzqt3zxh6dm55CMwfBpnqAYlc9ifykFiKtcMVJ/x/3oz2seF/5YPbQ
chGX8QDh5HSQ7ZE4dTNwaYwKXzM2hs7uPwFA1PXhXq+4TL0uPVatS6lKBFbYHmYgnNwfQPWQXnRT
lifngjzVdyBf0da1WwGSzicQ1Nr0FkVfXJYkBrTMAi0lOpvhFUzl7T3jjKqKfWrgnD+Ay2tV2wge
LgHrwPETnpmUXV/G/mD296uTQcWwph2p/QJU5tFLXxXQ10QBdC8E0jj4ka7GtfRCsfTKg5u+wAtu
f2gffD6eDlHEQ8roNOUxRdiWpktv91Xu5vzYyuiRK7eKYZE6Ku2WXk+KUIs2cC64IMhflvPIXXg5
wsxZ2gCCCwo3vduVh9kHIa4W5181Za+w+k9+ACgw+nESwN/gsigt1xS75hH0jVys1LM+f84IaJWR
KssNcwa3u9oEKw/hjGwiVlW0od0pOfdnF0Ch60nzww/+a7J2R/mTsedIiocntfU+vM5g5dZS0J/1
CiX/srX2YvMvyJgU+1hxeLKP0Y4kIl3N60T7igcJn8qBe9JOi6v2jkcm+OcwWdZYH7yqxOOJP+rf
TAakV2ittq2Qxfljl64mjgv6U3adQLmbI0ipdsdL+maK6u0BaDHO8OeXdB7VTKJWM6o8k6O3oaej
JYc9SYMTh7GQNytWvpG9CqJJC8lszeuxVVLmLBt1/QppSlWIHzdErkTyKLufHkVXfPoONZYnYodJ
VDalQjpIq+Z8YvPKE4RE5VfH1w97AzcBvH8ksu11UObt1r3/BtY1iiABls+okChIie/qZ2iUcYRO
L2FsV/b7zi8oVwTI594W6Z0VWX74JBzaKdChA+Y6DCBgrUtcK9FrsJQdUWaMOfeUtox8JTTAcwpO
4qs1RVfLsSz7sgFILbcAKVqNpLkKpmv57Bd6DWrRDlUgzQ+0fBTcLSXugk5bW9MQnKKZLsuyw3CO
qNLOAC7CnCCViAYJF2a0XxrSDYwq2o+AHHdfrFsfcIQ04GZ3Gg4HjD/CVGYoqMlw51LeRGC/sEal
LI8FF9fmkb31T76/LcUJYoh1PbGaRzHMGpP6dSOBUZv2RRGuWncNxs2+drrqF4aWAJOK5BPAk4sa
NI+xOcXQShoxRUeIOUOw2aJmk5oeHmN5gSgA4vS97fupmIiGiMscznGowpSiYyciF2IJUW56zk4S
KK3eHBCzyQcwkR+xqJTfZA7kg/26TW2sl5c0tcwtI+iZ0acZD1uH1CSsD8wi9IySX0hk/KdI3fac
KfLYPm2PunM5k4EKCx7YMWArDEnvVhnd0FWnMoZ07ss9lhOBco0vbGEmR5B2X2S2hGG8XUYlS1NW
2nyCNu1Y94VnJ3ba+AWmmol6p+kMeTgFjqHzWuCcaHHhMC+7Kg3/INamJ3rVAb8V7LGSelXTSIkr
K6zwM4xMxhKMtcxrqOfAVXH2kDt2v1av0sqEIEIkL7HYBAQeXFmqgSOV0C71g/tRQFvZCLmF50Gv
gro8NOV08E574ig4qNT5nWISi3bcMnXvh9TmVbFBNsoX0NJdWLZJHlSfZ64KcahtxQT8pePpBtsi
er2/N4l2yCpGJXDExrVdGc7j+siNFspGZB97r2EY6r2MO92S+DEErgFvry20t0p6qsvIAgxtyf5n
XqQf/PkM33J6mALNXtQUIu5Z2xUeshfIYQS/18GJpyTI/Uc95tZ9EPceLmbvCL7zMjUiHroJsKX+
3RlkmrzwvjdTiTgjDQo4iEVTxu/wawQK9ZQx8ift/ruAdu51aoNdx2+dWKdiFYbF1sJTeHPPkwdz
vRCXn70oikfWs1xHTLY82/KwHHl65ojkleKEAW96rwacvOfkkVZ9qqlHn1vrfFrKheJEWsZl7QxZ
+LTjj4uIVmihEaZMYXInZiumphO3dXI8ILnxRlg2S6+uybqBoj9R4QYTcMrzYkHnViYUphocD1//
IrfIRrHv9nMEAnEBQA4JBtm7LWIEOf/yzxCoobBhv4QIpvpx7YrucqaJOY89R6tFuZoOMGORlpxY
WYZLnoV2OruDykQ1nQwNBO4HPuCLazCo3kPrE+dQJmFOoZPZnIMNZFbhbTyciHvRWBJKlm1wZ3FG
11NVIotb1MP41KLJoR7w1vb4H8GVMvpE3D+Tcs2gkysivj0LnrhzLbytT1IlglRHSjaV/bwzXltX
vhzA9RSdrcAOU5zuThairjNf6JZWj+gebogvQkXXJ3GYTKC32ju7yzQ2zAS/A5pTdGS0xz4KuVqh
bQakn1GOu8HwHLA46h+DeUO6h+jQC8DSfwqWLaTFQ/W2QboL+RkN9XPZ8roCp/8cCeE4/ouShjYm
VKDNqp4sV66+bfJTHHoLdWSnvHSVMEfRvzIbnWW7HDsOmTKndQ9+aBa6/BNay3xyKeXdeX01zQKt
YLQBctIQI6BJBxMZKgZnnf2igLvsyBQLf635/BZlL6I/LcEOsSdQKOnu6eTmH4p+IWkOAAHvxzIs
WqeifMn7z3tQlNp7pbrwgFaPYb+2rvewceFuhYUydcWWDnxOf3oM+sblV4s14eKyx0IH6VV2/fAj
xmlOg6qp7MgbmmHksV1rllGJI8kYtAPlEp7JoYL0YD1b4wtMDQJf2KZRZ68+8xk1XFJsyG5ucCVJ
jgGvs3m4jSVBC/hYqzDUHPotNxyk/h6RopXsJOJqzvItQxSQ6LXjvuU1nlJuqZSSAAgd4XMVJKhk
fO0kyJ68sbxX97Vb9IlHBdm12QhdihSzYbpPOj6/c30VbMzBJ3cOgUYBH7uCXqnwhS7RGid7ed5F
QuDry0Vc5x82/GeqDhJjL/nEPM5G/9WZVfvPaRzUj+hP5Zh+lmjqPGOch8NsSKb4ljJUc/zeE29N
m0e78hUFw03iZv0icZT8Jh6M3yAxO44kA0u9ONbE9sz9IfBvxRgj7yZKY4E2NqHHnXrXV8wDE44n
N0jgLHVYH02fqfPi1eME1e8bzrg7AszzA/gaZT5uI7GeqZG3li6MnCZQU7Nx/6Vdt0/nCXve36Tl
nEreIXbAzR1KEIttLepRDyMRPXp0henQzTCdUgqHsL56qi2WxImadBJayN96wZnyn19sPIxZVgvU
BS9AqvRxLlABwyZD1A8rClsRFSQ6a3H6YDD3tQPckvsLUoMRy0rbzTBzNz+inxPJVeHEhB1SAnNy
5+lRmiyvdlOu65jZbOvkO+vopN2htzgMfTRLU+Gu/zCj9HmlRcL0fvW0ohtAn7GdVdaoc1ZQVrda
qsaEoCflwI+/GY0f7eDOT1qHw+/BsS9tjj1BYW07oTEi0RkMy2zISaTpoH1xYz8Q8CWyJxflE6Cc
sjGaLrCylu+W14DEcNtx+I6y7nXuMSt3C0RK7LpfbsJSZVfrpemCnmjp3sFx/7OUqSCcTRQWyxhV
rrpC98NgADEwtQlYfBERX6xk7IxRV5diGrmE48oYpCtD4B15758IhS7zQl3G7Lyy2e5byLFMJgv4
Ccmnt+FKp48gkXQOeUFUaFcdC64dzDjUNJsBH85wBAwwE7My5tE/BFMAWe7YcHMyPE3Z8eubamSf
J/s2rn3o1UEEdPoZEQnJ0M1LFrWdFovQslzkcuwr7ljWIfGtJlKXwqs8CswrIuKu9oNLmrORH5XR
YRgac/byZ6rOUhUP8gsV4UsqCCZsTpE6dy9tYAUhn2xIhHKygWeqBDUWbT4+gFaTBaAU5j/wqLaS
i6YmzU4lqN3iCYeuc45F3BT2FeJLAO0AlUPpzDwSDIrj9cmozd+sU4HhDJhDU7nT2f1gp0sGHy5i
Nhikd2yWMH8+RxO4PhfQixncpGDTn01rlT7y1iJ5ZYSiDYJrG5bWsp4kMcEKx6RpDLPMdDpOOyGS
voeqdh9TmFTgOCS+q4KAAp19u+pm4YOneihDTHr71R0Ebl4qxkzm+RN1wdZj5odrTH0LoqgUS+je
BWMVgcr+tvrp9F6VqtLxDW6p/uwVRRfkYxnk+YWmRjcegFHAIgw1ye9SDIWkZjdBE08Z/bgu7qcD
xnnSCdqA9Xz3V5fbFBXn2wyNsp3dQmIWY9gFkna0pTDZns+X449n+jYlF2Jm271zojCa3263ALPm
lSCE/1KHZ3R21ZfTVnUdsCv6UoUp2/5nknjZca1SQEEI8URuMyHVMSwQ49S1qWD29sc8ppqicZSO
X1WpgkKuWRMemvTteYAVXNW3TC2zcIWommE393G8ma8TMS9ZebU2qtQuUpahC9/hxhTyhcKDDDnI
r1FPy23XLFoXlvbuHx1vcZ3hVM+zjdwGGJ/4Vcjbf+o4oxyx8WcXDXSUvz5ZlZR9iF2hlVjF4GFV
v24JqoTJkOz83daLBMxRmzUh1w540lwdpgR9gXUE23IxooqMRZpx5qG0VscdhEt/nG+ZmRcF6Hat
ctg6dDHU+jvCOhS4lu9aLBwn0tFC1ChuXS/sSIpEkJ7YXM04wcv1pBneM/i15TFexP36HIc0tLKT
KdBFCF5DF6hVM3zMBvqenkv81/ocmOim1m4zbE37VroqjFvKcnQ81in9ozz7hLRlxWq7S0NllzmT
ThDy8krTqEX4aGhihc5AuRhcnenqJEKIsPpwxQDDTgPaEa9JEo7UechAZj3Ng1yFOAZ2U3S6w8U8
lRVwp8rxOHw7OCzj8VV3z/f2tw5gdN2HcpKRz+G8M6Ibm9+khWpd51lyVhYErEQI0vzDP6YJrN46
u5nrO2DyxpFzEObzEF/6eRb29sI5o6SZgFfqo16jg5z+Qay23/Lsay9tZI00PJFAebi49XfICLcY
SGvUbKl70GQnQKKsAcdaulm0/ZFDqwjWjcezHBSZ/wTDHeK/fN5TVjry0do9J2dCFTlK/QFQgJhz
uaz0lwv4Bup7MQdjelCjtkrjBFj6ZrK87pU5hmmOiT+ijGM06cLZUFH5eiiuVIITe1Zyzvx/gbMt
UKhDEBe+L7y5+qz3eruuKZYHmUz44DGIYFKL9DCRSfQ8Jzih9lrSQYXLeLFP3Oj3Jwp7OJb67SZR
TfYNR56uKa8dxSSwPukguGIxRLaEjPugtzI+lJyRi3WAvQ1UATh/l7nkozBAHIjwTgPtiB7vWLhq
op3Y20CYVxLb1LPyWNcdDO1k8aMbJ2Ureb5crh4srvIVmKz73FqJt8M01sYExX5l7HxdmDV10Meg
DkWZzZrXtbBtnmdIoBvW4B2lQlV4PbJCLrcwZ+5d+uckQjBWUvNsqSm7ukhbh+xbLf7aCIH6zrXC
K/y5bE42oR8WWtcmbDJFuTarjPak6arptwB+nvXP35AVZlZ2zce8UZqiYGGQ62pnzPKfnf24xDqd
NA3in/dWG3pzGJkmnyNEQGef3Z+z7xcI7Qkr+vD28ez6C95BkhwR/bDga9gEpIgxYfoC8/GBPsGa
MC+sel8lVXLTts2gjmTgc9uVf5V/TGSoZ1WUW6JNb6LdAM7kJPjZuzKtxBtUjRMItPbNNtsn1nDg
5UtpOlMqPYHtLP0ksCcFcqLFzagEuNSUfVMKXu/gs/WxbgTSj9de9JK7Y128PJkKJNLCoX5iIGLE
Q1B3CvQQgcIzKEtRcr0TaNJQk9kYZKeCBf9vOx/sNpiS2CCoEvviveP9dp0uuHXSORqyPD5puaJ5
dQTG/jbRxw4xzonIM+BVX4pHVlCP3fq/CcxOQy6q7D+3McIPBLR3fe7qcyjWUFf9JSPHh0K+3+rH
CJNsBTcQi/zUJEpk279/UakNKPzlZdsRVdejV4ys5ke1E5zcMGl7LpwFzODUJTYD546D0NGa29pk
28nA9wl0dWGq1zxowMGXV7zWiBxYs7poxI2wr4bzajAWn+A4qAhPgOwLLvWZ5S99S87IpGpx8uH6
BwCgA2F9PhRkc7P5xaYxWxcJSUDwiFF/XCaw8BS4KgljNvoh1G1GmMRbIDpiBMAdCWcz8RhqTavm
UGb+Bo3z6rB2zswWtVQr4lAz6ucDWgxQrfrbAVsi2uSYohwvrXwhho9C1+nBVi+l1EQ/a1atkJrs
seiAwQo9boh1NibFCWj6nIxWkjYS6z118C7gl/1UGWZPxQ8ZxqQEwtuDhGtT+qfZbJ8V4ge45gdK
2acuEPTST9bbz9Aa3nez4/opaoTSezrBOmJEt+VTBQ2pFG1sekZyDGqTScUMu1C77agSpbGZTdfX
A3SE+0cuHXq8mVMlBS1NO0CZ1ozmbPIg5qCAAaCrtC8Cxkpc6GUQD9bFf1CoK8vwyD4KxLCkmD2O
2qRatHc8eD25kwgEp1fLEMJCZtE1SMFPPjJFr0Nc4d+73XMhahOQCM2lJzi17GldAxs5GIEXCtA+
IJ+Dvw7XaRTfR+doc/3mJ13BTZAffZ+xGa3N5Q+RcP4eDOS6hcTWlkDBSe2JGFbel+xGLdqxackc
rQFliKvVcJO3KpI71uIAExuswaOPHPfdSr7qglZLbJKEo7cVv0zud7KIca7hrQHwXiTWNrbLbkOi
PNzwxhMUPTb6aDM/ITYWns4D3MbUbSYJikfMh4PgYCzV21NVSeqpNvszWA9ZODQ2LubAK0KNtISg
Ltb79RIEGr7+Q2W6xL4N9a2D8bEg91h5yWNzCHUbg6rE7yOPaqInDPzaIBdAYoxWmrlNhm5l1ONd
NTUtcF2pWzzfov8D3RBZn0EG1EUlxphQtOniFBE8UGR5ifoB1Cz0zPM0tmLSXFq0dVMzckYaenbK
EgoK6v8mAFKoLoQdRU956J1xSLsDGs4SyOHA4Yi/EarPnIoRDuWDl5Lab1QpwgFi+qCp0ydGRyT3
sVq6YyWAe45nSJ8QF0GJhJcT9da0OyvL1OdN++baQ9qiUcH74I4kU/UUy6/RwzzRgyKIFEfWG3OK
Nu5Adnu5urY2y5lTEpn/MJaRGYAB8Z1x6ItxmUlw+rUgjHla2hqLxqzbRlZ6XEVvIkO/n7Hv6i2D
OwVSFRgcdONE2OhKW89bMUPZFUvB+3uvV1x4r6U/adJRskPW0xyODP6HhfCX84yGGMyXVQFqY7AF
BM78ueDqpyjekPrk4jx80EfFMkJxL4DN3v4syP7KNnrFE457KeO70PXR94V1KUQ8BagNQ7gs1i7J
sy7gakPBryhn8NdOFvAC/CDaKsLaxkA4T80Xt2nnGKt/NbBczz8t2Z6lvCaPmZtWqPD93KqoS/pZ
IoGAUa5Yq/EZoOyOmhGV1e65BfvJbByeCNniYTTz6MG2qgTIC1Hl8m+XfIcw2dt5PttoKdOnBQ4Z
roq8SqR32K26iuBMqbdgUomijurbVUmPV4RVULaa67lP+Ggo0MOe/AWmkbamRLgeUUX+ABZJLgcP
ndRQI8Zq5fqBLGZ3/rkSkupqM/ZZ8IrbV8G+5BhyZ09Wn01eTJnZUXgN0Q7XWW/azDjkZR3IZKDN
7Ffa4KYrUpdK0oNi8J+HFed++UJ+Pl84Jwd2rqZI1ac7L/8PECm1EnUH1lVnDptIIzxt8OCxGgbH
nqR9Wm5KflRihf0IY9P2f7jwbrPhUxQ/xN5HipJz7ICbo29w6tlOT0+fVk3v1ncFwZ53UrduaaMn
sfL7Y2udwca6//Zc7czRqAUdu+9sNzB78Qpmo07wQ6t1uMDXg15zrMM2JM65xx5AuTnLqTJ1jQHj
3O5/LL3En9MXyu+Xx9BsHJzbRe7hEcfYf2INSpDm73jmH2DjfoA3bIqidi8XjpQ8CB5+EJgZGra5
1ZL4u0Z0Dk6PagzS6pGQNXINlgmOgOmgeh/LgSrTAIQzxJTEuHGdu+DldA2p2tj5L/k+dV9RDZFY
v++H+NG7fwPCbHpgMdYpfKPoRsvZTwwC0GrpYu2nVC2GGwQa2vdweWw9SZHk0aVRn6RH9MBOVSC1
ie8gVi/h4BcRhq49/IEZDljDnFSH707Hhu96J5JzzmDMyBKDlnRxwXqjIsL06oEsS9UZu9PcmOsg
Lt9W071oLGVpUQpVU717wGeZndCUQwPcBs/6EwKZxh10DhOH5h98utqc/Hv97h1pCCCaCjYdhkvn
H8QgZgH51mBCALzyeNW9gfqypYOIICpeHUMtgaeD4j1BVGiE3nSQCqw7J7wXpZPkDy4Lwd6K2IHK
sgS/3XbSIdLO3LygR4JMT1nO8f/nGhdDMEGxRgZAIoV5WDVk0fpApi8t6W1QJyQ0wZ8OvS4Lt2Nn
qhr5L7kdMk/wOvNcW2kG9eRaPBdUwLv03NShDKLipZwqM2tfbf2FsJ4qAFrsqdOl7CPVQePFVPpU
nbYlcWHz5JyYAab5tYMea5YqAH1hc4KzazDBEQGZR4+8zgQtriwXDorKnJ8tYKPGoYkGOh6wYAmu
wWGRmvCNhxbLx5Xw3xlfWrG4dtF8k2K3BUqmHBTpABe2wmGGnV+F5sm7WZ+S1V/o6joXH+H2bPFi
8weNmb/rMbEwUb39xa/pfwEHGeNzEl5rC5a0S7PDOpc5zPR+zVJdG5KdNI3nbw59cptIV4Bcatiw
VHGOv1J84xMfyTkBbIc2Ou+Wdd5gLUCJfgtLZ0deKGsu5yVncXpG7Q3DEj8p7dx2AmZya6+vcwgn
SSZry0MU5EXXiH4z8ZqrG2VhL0RdKENVueD2zOZyykiboL/E5o5DB9SF0YFH70W0N0eVTohkeaLX
XN6CBNzh/BwkXQVVlRniW1adi/4W6e+nmLMPgVxtfw43avvx4TiYEjvSyVmqO3qSxKHjH/NKwv6g
lXGPj+bNuLl77jkAke7Y6+vfTikyhDr9Kj5Ko4IhZjwa0tHu1z8thUh7+Id6lsBNoYj+mqHNDQcx
ikC1P6JygXjwDCUGMSdmxNc6TZEdJrL7966DupEV85X1zTXxqeGYWdSzgGCBGPDuNPE81UFMWpKJ
/p+XI2absVYKQTTKBcCVj0SzEOzuDvyIdP6t69AZoy+IGsmXpuxHs5JCGIlmTMXEg7hWh+IOA2zi
ouC80c+jYjGBjVEEe3VfkJcBbcxleyU+2guLxidf7D4cMFr1C61CXPH94bXQJEKwXZ93F+uWt60/
BGs7+eINcg4tK95gIAYa+Eyb5raf33YRZBz5em8bT2RAoUtS1Ul20k82Qb/GMbsi0Wu9BGkDcRR7
ue9W2lb+sUAi+0kRIv0pR77IGJ32cxhOBgdp8UwE6L2lLy1d6KDhILehatmEhzVTNlRF3A8DqIM+
/KxYim/4f/jZlIEp4nXpQcPBejvoSRcH8x2p7WC2F/d1ODuoKLJzet4OJdngUqczI/wbdC9UXI2v
jWqdc8uHrTjU28Lu61/O25tNZb2QnSdSCg2yW+Y2t6xy2izcaJp/sUOVqRJcHKKhnaS7fErnNDig
3vx01qNAn59z4tUrxiYVq0xqm5mD0KSrCrhZJQQ0j8ePfdpt+wjAIvp1CrnjZxhEKbE4JybMIQ21
0cfog+MQFouuX6WBc0kpgL9+Adjz4oAQQSHIjhX1vH9pXiF+nf6NucLlWKeqmb6tyGaMKutU2Ov3
NBsY867C9qZ7DcJpvPrYCLvxn4trGA+eksycDvZXmqZrqhLzbPuhVLsbMxAjM65N4u41ch3t99N6
1OG1r8t2z+xgI3pyU1cw0v/xBQEpN06ysCDm10Pyodj+zPzAzVnJD6nzXmkkB2FqQz+Nh75fuoBX
3pEmakA3bc8MuZj7bnIl4VAt+QB41DI+CPprfLJeEEc82N+5+yshmbxnq638ise4eliD9bl0nREL
ML3QXgy5uv+E8vRbANpbLW7m9h3oIZnF9uZBWPbFawdeulz0eI/YxXBKAlHg7pSjFhu5mCTrZg+3
L7Alav2ZInL9/EaqqFAqlDQ064tw0684ZftBJh0Rhksd5r44Z0jb8GQXTQR59BxnAgmcl341zrD7
U5L65Z/6nuDIun03+SXxXSst9X1hG4/70cyDrX64+HnFhkhNNgD+6mqe/JwTalvODcPZhzrCudMm
It8Kb5OH+oE+1Gdm58wq93mz2ASYNd4Xy8VGP31zRPTZHN8Fifv2EUsIFjuJRji/p7pBs0Sw5nWq
pDA+4MY+10FLr8af7X6l+hGqnJgxMOhT3zfOY/sxDNDIntBneXqQJXGy93qzNAuX5TSFIB/R5r9z
J3w0wXSVVQXfltPvEDNFD39w4W1Ce6tuig9ruBMs3cPQ2/Icu2M7AdKb0/5CoCuhG11HyAzPh5LA
rmnWHVtAHXmCH+yPtgtLd+ZV8B5+XRVWWf0kyby/I0SgsFdnmxgDtepChx8ObTY8WlKzUfyqV9pB
IW96IlUw03bF3DGoE7vrhuwu5HMetTKLG5C7esIuczWjQJMip2eygjMvlbkmtqaqOEdFmym7w7Kp
VxuL8LSi247KkoG1pNNCgTiqzxg9jhLpL6ngVbXjeTmmXny8Ywl32nWVTv7d7mFQm0yv3C1Mec2e
1zNj59Ydik+X/gYfMuszWFcJES523f3R4mnj+sT7bkFkt/LFawd/f5FEccTDWWbJ5YZUwN/nCh1j
z/J8A/AYAlIRNcI4f/ZRki4L8JSHJo9XjXaXh23inVG+TsVMwRgORBxF0eQ4FthZcLvLdeisuK++
pD/gnnc+0r/BiKobQXnmL5qNU1TtFEaJRrU8jrTm3ZJEI1ac8w3h1MD2riPmEPngFGBoB6l7lN4S
HKZreI68wJaGd5tnt/5pbqJolSJ0bDpf2TWs40Cp2Mz/WahgL04j85KIFJGWEnsp+JAptRK4lCFl
hOY1VsojGSexEgP1unxOznZ+sZPcl/OFGV3/wq7QZIi+XPsCdjTvc+iooT2UVTyfqceguAw5wlRv
b6RPbHSk0P26qmU1vNQMOkPe7JJhP5PzVQb1YvrnH5hWePfDP/WmGBy4qWINF34Ff4xcg7JqufEi
1Lda+xEB/o46N3vy43FvRYBl1QWSwP/sGpRJGM0ZYio+m0ykeaKNXWVoSB3Yje2MtG/rt1XIbbIu
AgS1vWQ/s4tAYn8SdKWt4cCFWpFfbC+pvkWyiWaSxFGR/DZElriicwjGeuDvFgOGjhsUeLSs+zjU
q8/kLP/4/EbdpZ/o/julkdiba74yBfM7GcSkfunUtEjv0GkF8cmSMT9dOJBWVOvuZ/9ZDPbAZPZC
BMNfWm6sKom0EBqlISRomxc/9+N+aPj/JxUo0ag1KucRA+fiIFIaZ34JWOuC9LHPgadEyKIubQDO
2R9VXFacd2LOOzG3VINSuY9cpMnOnv6khBqIAPRtmjFSn+EnufkyFEUXYTm4DwBnhAAo6qwo5k9c
riV6ingGsSbEoABuXzWhX9NfkJPhrLCfhFoCKM9fc2mphZQGuzDy/9HRzLXIRAHfczPm9sCKBO4J
yScVAN2Acq6FU6iAMXgVg4Os3eamapeHN7QASyNyUEcu4R+Kz5pUpymTbPqsQOYMHwYzTTpePdlm
H/R+U32HHwalvcMallIwXeG7wfPA3+pD/mqbojLQgaflGu0ji4ZuW382L9cTPMNFcADwTyIfI2Pl
tQdDeB7ndA3cbxShM9DadE+79W4YjJq8seiaV7e3zHnbrsrEeewKRaSiC9uUoVFOAJbP5clFGmIU
jqDZ07DFxQFdiLa1k5/Cop80KMuioNPPIuqKhBKRLN/IJAdzpsx5/8LYJkc1fO1bspLNYzrh7/ru
V+I1jkBeu5dsaye18Md5vAE+OQSg03AmB1ZsTvNSnM8ZyDN1qmK608FQGbZnRKC6duft9u/pT0d3
dBjySGdzupctdV+g73NP2AoPZBxo3ONAZoeC1qeGaYiWX38x6FvgPVMiXFK4fF1zDFWxCJNkhIMp
dK+ueZ4vzBqb/4+4N2oaueedZaiJ7PWwCkr4HbOS2XE4HBXUbhqSAy9PVGZCG0xD5bwWJgZqXYH7
VEkH6fjIDzpPJQwiF0NrM3YWo0I53QnkQyp/8F5EhaFvu8Mht8Op0GEs/QXlf/l/ffVVU0JyiEEl
hHww4+g2NZzp0dL3z5OdD4ggLxw1tWm7LR2Sx0S3HrSXCkMRxOd0iG6qX6DJXas80ZzE2NEDc5z0
7jWAwdR34peLkZgAqWDda/FYOmBHYBeZfMtvA81/hOUB4LgqmjzL2meAohBd2kIaMQx9Yc9lPAb5
BdnDiFMy16txctR/UiAOQTl1ZrBE+DT/68Xv/Faeilm6rwnu+X1pt82MrL84pVorP5IrGKGIEw3M
r9eMXJZLOkOoDPupzaRyKDh39GobzvNtng+CP5ctKCCDBx2DP2z304uHiLj0iEnoY+cMCvbpqHV3
QRQH5cO9ww4schg1BLU6dBGNUuH/EJ3dd+PJyfM4wtPoVRYRUyYBTI4ifQwkmgUuRTf6t+VlqqX1
b4kmx/twURdWMOUcfvcgWrRSe08623W+NhFk1MWhxqZfSbdWKRdAGQlgSi4ZxnYij1MkjFteNcXG
PamiQLPeR00HLpu2V1t8yy0qUIsJ4vejWV0iqLgCPP8uKcVGd2znuJQ6q+G7/EcJEjuurihRRQFB
ghecOREFCJeWqCNGTDIhRuOWTSyBo1cS2CqJC3aY5AUTVqFFttgO24VTj5cFto0IGFzyHq6THzW+
egtLUotV2xPcP5tjt41cMmYjOdXbnrziAKZtNZp4V59ObDKCuGyBWX8iLMA9HqCX4SZtjqhss7NF
CiEt6ubKIQ2HYgzwzvU63OFXrPHoULHfA9UMG17REtXp7R3tJ91JJwTRAK0AZwshIxVBiq0akYxj
8o4jqw2ROW/Xs221IzePPj5F9F6bE4MGS9IDMhTugcEg+0oHi0WvQJ3LvO+FQjKNg3BTa1Eg1H/V
M3WXJ5FEYop0Rm5AjXreGGhXge2dGRwciPqMVr9xDcLP87KZFilHWl96ogX3F2kbfWlDumKhDPTw
UN2uuzcEtBryWue3dNvl6I6jvTK25SnOrMZeRDQ/6GeeI0OJfjUiIZjyJJm9OhHzXGipYjmNEq6U
eQc+BOhfQ2cwnUSZ+VF5GezbhqmhcdNcjFOxKuh37xHFwaAPj5udpiPDHtSXU/yzYOi0Fq7bJFxI
s8q7+m4g6vlewjzMeu7tdijW7HBRb4w1T/Q2ly+TRVprlw9JaSfes4gUgB5UHJBL76CnmCcj7ivd
JAG9Svm3jMOIfkOaNmR7OluuThGZrmoTMI0a/nHBORU2yADWq3uQ3mcLrGsGaFpUshKlhqohWn6Z
IRqY7IJIM+0JSDyRmwBFnnT9/Rwbh+151PuQuSsqFu+ytEBv2i6Rvi1LW68+69jieT4KApBLgWFB
ECbrHS3v3JpMFQbUyYvuNG8KIxpm0ffGa9K+7hCSmHSZ5pI6k9JPGBe4t3oTAjSC0bHoGIwqgjqz
ctUQ98bBfJnKJ++Jt31VmfT9kNzwcHB7VDTIbYhB6EClFe06fG+NVr/3k84xdTLCCR5kubYA0Hwb
w8YTZ9kUYfSKNvl9trduWgBb361ivCeSH0CgbuAyn4fsMzs7RSm2DD7u/6pxi4Qg2XpaLNLBXlqc
iSfJGbRAHNTT2zQFgAMO3seaUb3t4iwnODwi7TgWDJzI+OTl/uA3RwBR8DFr5aHx2RiHelkZ4OuT
K/gw739SH38LQuAQFIWY4vJ1wphAl++kXIDGGAOI7SoZc/xp3kX9xD967xKeyA56FrVtTu0ot/Hq
F+gEt2YD9Gd0w0fOwVZZvI2f+RH5CeQ7/d1KUq6M1HR3ZOC0uoaYmtCZs5fr7AjfZqs9Lvrv57q7
Ag2PavE6i0UeEC5B9vCBvklvwMEvEinoIYu34YUmq8jIkIM8vqdUXaBZa+VSJqqXUvDD7LVAoAs9
JLoamiaiI4CqQjeIJD46SqLbPbh02okjahdbWHfTLK2EPNlULDvA+inPuV6KVE4C6L7l/QTztUB9
mi2bs5vCiAzEZ8o3nN402pf5t4T89ixNBQdHj6x+mAGq8f9BtHrosqkHLUDML4dTVZ+CQ5uamoBF
y99nIQJpsivD9lbyoDLNb16IJYyVv5FL7x0obSkMKI0F7S18HBpzPhqjTrL+vfNcvtvzxOON+Hqy
W9qoTdFzhZnF1OT8jkKRDoujCnrvWXEpt1GEiC2WN3cOo5xYfGJp8deT52Iqii3yiM8viyDozglH
UAPev3NlOanrXO35TIbp87RoxRgYWnsls2MbgPsYDDW2E3sPNanQKqNlu6Gbqby41c0q0v42GfdY
/8FWg63YMs58+FNGLxhaQTq5ecp9hcmxX2PHo9U0vhEzHOUs8t/VhUEl9l7v+83LzWeMVkCvZOmf
Pj+CRG7tLjLyuVcFlsq/JASw5cKxx797ctVIs8Lmm2AINyu4zCclGIldMcKX8K/Bmgp63hkuvnKg
c+RzvSCbqDvGTShr3H4kp1Y34UhR+2a51AQhBcninKD9/WJTL/hLzZZEMsmPlHO6heh75d8O/zLn
tf/zlRZtEcnziciHR6d/CVg5RtcjawXhPHzVD4kbi6b9qhEerMKNMsQ/ImyVYhsn2ax/gpA9YPAA
BkEYpMQuvBJget3J1XxcCjJyXQtgFfDwBmS5i8dNCwjzkM84PRNKQXV/1xtWIaMKYfODufbbBh25
dVobIiXWiTUxtYMLzBvUV6vOqTPtNwkGC1YpSBpOUkJoXDShRRdsWkLOHjVcZzzpFPWBvOry1l7l
4jft0eZkcv3LdgU60U0SHU/DLSiMHZnlcb6uvEtpX/r39AUnZjAImfPggw+UcSqWEmePopLsl/mm
f5/9SJ4mhYLxYQ1BN4C/yQ9F/NJJJfEn4EO6J0JDgktaXyt3iuRzIdpNfnjV/NmlG4cfNySUYErr
OgzEbMmN9DjJD6VFRGUUjnsVtn6N2R+Kw9N/4UF6XwCZh3WQvjY9ocofcAabCrkCsVe5OG9cmtJq
V+5qMdK3uNw6bX6NgsM2WeQMDUVveNssDYPjNC30SOohHfmxCGMrPwpSYMlpHZLFBDLSllY5pgiG
6R6HJpbXVgLz2Y+lbOxvHv5BW24G6szPRm2HsQxIYSUaEpSNkh9sQIYEuhvVcyyuOOzdMIJyYZ/B
oeQCp5uYqjzOi6zuEYMhKlaLD5fUtVaAa83BKk9TcwOhrREwbhWgV8u/KJk7x3tCkWvVGjTNLF/T
Q3bpBywLpu2+u77YFFvPS+OMN1F16B36OV0fdQfi4rutGKq+LUZXm8A5l79lr452OkYPBoafhJv8
DacT+at1AsAtLHBCFUS+XkrwPm5ZlCyFjUjXCDVWw6Bfu+Qp/dJJ8xsqrZpXc3MFn30ebR81tc7j
YHADtXKfD5GkLExDayP2x9VjJx2a447gA38d+yqjLIAMqmxdr3NUhX15BVB3M1RIfsw3U/FNICnW
8+sWnprDcBn5j1W26MEc34Db/QyqNfb4ZQ0v26ioLX+6mRt3TgRRzZx2IDnN/Xzm/G6sOcWJTFPR
n6goICKiJV5a7WVeOrpbX8do5Bw=
`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
IVwhzgVHKFB2TP6SX83tVoOReksmVLTwykf7EqjmQmvQHoRHd7DcADhY7xJsPg7C6AXuV0ijYLXr
UbOd4nCOWg==
`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
Qffey7EIYZkXN7F3er0naudl0RZTjehjK9zR6KRkkCRNvskh6Ltybmp3Kd6+6mra3PF/dWkVmdwA
suVsKeek1YL6zOCS9PYNm0/5SqZM1xRrzFShKjwJu3RnbV0DzvzFKQQK8/WRorsHLsCGfuRCzT6S
b1gBkUS19r2rk5spy8s=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Gihy4ZyPY3p7KAoPuAI/ElRDSpenpQzZDGMv6EShcwtmNILVFk90x9LoON5eORjc/LAZJE6HEpNi
bfCHy4zrppEKnbhz1kQMFByO9QPMkfHYd/fuf6eajfN+1V2UuX/WtPwH4y1Ubwv8mnniCFz9DoMN
/lHKB7iamvikJnL5LtoUE6QB4CtYYWfe0fTtvtLUzblpo17sGfzW+ep3XS6AaQ22I51MYMCYFMXg
YCtr/uWS2LyGcU76PxbPrIlwV0v4DUob+n8VJYS6y4zyHE9j3FdOco0Vcziz6c5BQGV2/G4XxBQS
i7Z/29GMeWA3rqOkYCz6YyeYC8IV9QFsmtf2dA==
`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
IxLnGj+xM6+dZLqf3uATSWp/dwUBgRfH13V8tqLmJpsFK/NMjL34R1lQEXNXNGyYX6CJWf3MjAlC
i6GAY2qF3rqdtq14W/A/6EnJ0bTFHV/4cPv9FesmSh+vLO4XwraeA9RtWUCHsJt2rDofPfsb+ZET
cM/g1BwjjV53NSW3IDk=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
HRaaP0NOEY3nvHDqjhUaRDp/0XP/wvXeKZ3qEAEk5uMToNTgxbOxLE5Gf3QQgNDwCh9uzHIMUW8Z
MDefVnLQ+MDZH+aVLDxu+bo3v4kC7OeF3OXEkK+3N+c/r63olXTVDCSJZqwBDapVxk6XpPaOFLrD
cTxVnvNx+Hha5zL1qHETTJGflNlcrXb7o8w1JkzfboT1UGHgmxyvYmoZOVAmal8I/X5w42XTwrBx
wV/wM7kcyKb/OlpvcD75eiviglvjssUhN4DXmNOi6A+0b4EvDTNL3klRt9CqJ2t0WuSLNZx1qasM
UUH+8pxQgDaVj+4JCJD5ACiUREI2Jo63N2/myg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20768)
`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
IVwhzgVHKFB2TP6SX83tVoOReksmVLTwykf7EqjmQmvQHoRHd7DcADhY7xJsPg7C6AXuV0ijYLXr
UbOd4nCOWg==
`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
Qffey7EIYZkXN7F3er0naudl0RZTjehjK9zR6KRkkCRNvskh6Ltybmp3Kd6+6mra3PF/dWkVmdwA
suVsKeek1YL6zOCS9PYNm0/5SqZM1xRrzFShKjwJu3RnbV0DzvzFKQQK8/WRorsHLsCGfuRCzT6S
b1gBkUS19r2rk5spy8s=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Gihy4ZyPY3p7KAoPuAI/ElRDSpenpQzZDGMv6EShcwtmNILVFk90x9LoON5eORjc/LAZJE6HEpNi
bfCHy4zrppEKnbhz1kQMFByO9QPMkfHYd/fuf6eajfN+1V2UuX/WtPwH4y1Ubwv8mnniCFz9DoMN
/lHKB7iamvikJnL5LtoUE6QB4CtYYWfe0fTtvtLUzblpo17sGfzW+ep3XS6AaQ22I51MYMCYFMXg
YCtr/uWS2LyGcU76PxbPrIlwV0v4DUob+n8VJYS6y4zyHE9j3FdOco0Vcziz6c5BQGV2/G4XxBQS
i7Z/29GMeWA3rqOkYCz6YyeYC8IV9QFsmtf2dA==
`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
IxLnGj+xM6+dZLqf3uATSWp/dwUBgRfH13V8tqLmJpsFK/NMjL34R1lQEXNXNGyYX6CJWf3MjAlC
i6GAY2qF3rqdtq14W/A/6EnJ0bTFHV/4cPv9FesmSh+vLO4XwraeA9RtWUCHsJt2rDofPfsb+ZET
cM/g1BwjjV53NSW3IDk=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
HRaaP0NOEY3nvHDqjhUaRDp/0XP/wvXeKZ3qEAEk5uMToNTgxbOxLE5Gf3QQgNDwCh9uzHIMUW8Z
MDefVnLQ+MDZH+aVLDxu+bo3v4kC7OeF3OXEkK+3N+c/r63olXTVDCSJZqwBDapVxk6XpPaOFLrD
cTxVnvNx+Hha5zL1qHETTJGflNlcrXb7o8w1JkzfboT1UGHgmxyvYmoZOVAmal8I/X5w42XTwrBx
wV/wM7kcyKb/OlpvcD75eiviglvjssUhN4DXmNOi6A+0b4EvDTNL3klRt9CqJ2t0WuSLNZx1qasM
UUH+8pxQgDaVj+4JCJD5ACiUREI2Jo63N2/myg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20768)
`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
IVwhzgVHKFB2TP6SX83tVoOReksmVLTwykf7EqjmQmvQHoRHd7DcADhY7xJsPg7C6AXuV0ijYLXr
UbOd4nCOWg==
`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
Qffey7EIYZkXN7F3er0naudl0RZTjehjK9zR6KRkkCRNvskh6Ltybmp3Kd6+6mra3PF/dWkVmdwA
suVsKeek1YL6zOCS9PYNm0/5SqZM1xRrzFShKjwJu3RnbV0DzvzFKQQK8/WRorsHLsCGfuRCzT6S
b1gBkUS19r2rk5spy8s=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Gihy4ZyPY3p7KAoPuAI/ElRDSpenpQzZDGMv6EShcwtmNILVFk90x9LoON5eORjc/LAZJE6HEpNi
bfCHy4zrppEKnbhz1kQMFByO9QPMkfHYd/fuf6eajfN+1V2UuX/WtPwH4y1Ubwv8mnniCFz9DoMN
/lHKB7iamvikJnL5LtoUE6QB4CtYYWfe0fTtvtLUzblpo17sGfzW+ep3XS6AaQ22I51MYMCYFMXg
YCtr/uWS2LyGcU76PxbPrIlwV0v4DUob+n8VJYS6y4zyHE9j3FdOco0Vcziz6c5BQGV2/G4XxBQS
i7Z/29GMeWA3rqOkYCz6YyeYC8IV9QFsmtf2dA==
`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
IxLnGj+xM6+dZLqf3uATSWp/dwUBgRfH13V8tqLmJpsFK/NMjL34R1lQEXNXNGyYX6CJWf3MjAlC
i6GAY2qF3rqdtq14W/A/6EnJ0bTFHV/4cPv9FesmSh+vLO4XwraeA9RtWUCHsJt2rDofPfsb+ZET
cM/g1BwjjV53NSW3IDk=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
HRaaP0NOEY3nvHDqjhUaRDp/0XP/wvXeKZ3qEAEk5uMToNTgxbOxLE5Gf3QQgNDwCh9uzHIMUW8Z
MDefVnLQ+MDZH+aVLDxu+bo3v4kC7OeF3OXEkK+3N+c/r63olXTVDCSJZqwBDapVxk6XpPaOFLrD
cTxVnvNx+Hha5zL1qHETTJGflNlcrXb7o8w1JkzfboT1UGHgmxyvYmoZOVAmal8I/X5w42XTwrBx
wV/wM7kcyKb/OlpvcD75eiviglvjssUhN4DXmNOi6A+0b4EvDTNL3klRt9CqJ2t0WuSLNZx1qasM
UUH+8pxQgDaVj+4JCJD5ACiUREI2Jo63N2/myg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20768)
`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
IVwhzgVHKFB2TP6SX83tVoOReksmVLTwykf7EqjmQmvQHoRHd7DcADhY7xJsPg7C6AXuV0ijYLXr
UbOd4nCOWg==
`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
Qffey7EIYZkXN7F3er0naudl0RZTjehjK9zR6KRkkCRNvskh6Ltybmp3Kd6+6mra3PF/dWkVmdwA
suVsKeek1YL6zOCS9PYNm0/5SqZM1xRrzFShKjwJu3RnbV0DzvzFKQQK8/WRorsHLsCGfuRCzT6S
b1gBkUS19r2rk5spy8s=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Gihy4ZyPY3p7KAoPuAI/ElRDSpenpQzZDGMv6EShcwtmNILVFk90x9LoON5eORjc/LAZJE6HEpNi
bfCHy4zrppEKnbhz1kQMFByO9QPMkfHYd/fuf6eajfN+1V2UuX/WtPwH4y1Ubwv8mnniCFz9DoMN
/lHKB7iamvikJnL5LtoUE6QB4CtYYWfe0fTtvtLUzblpo17sGfzW+ep3XS6AaQ22I51MYMCYFMXg
YCtr/uWS2LyGcU76PxbPrIlwV0v4DUob+n8VJYS6y4zyHE9j3FdOco0Vcziz6c5BQGV2/G4XxBQS
i7Z/29GMeWA3rqOkYCz6YyeYC8IV9QFsmtf2dA==
`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
IxLnGj+xM6+dZLqf3uATSWp/dwUBgRfH13V8tqLmJpsFK/NMjL34R1lQEXNXNGyYX6CJWf3MjAlC
i6GAY2qF3rqdtq14W/A/6EnJ0bTFHV/4cPv9FesmSh+vLO4XwraeA9RtWUCHsJt2rDofPfsb+ZET
cM/g1BwjjV53NSW3IDk=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
HRaaP0NOEY3nvHDqjhUaRDp/0XP/wvXeKZ3qEAEk5uMToNTgxbOxLE5Gf3QQgNDwCh9uzHIMUW8Z
MDefVnLQ+MDZH+aVLDxu+bo3v4kC7OeF3OXEkK+3N+c/r63olXTVDCSJZqwBDapVxk6XpPaOFLrD
cTxVnvNx+Hha5zL1qHETTJGflNlcrXb7o8w1JkzfboT1UGHgmxyvYmoZOVAmal8I/X5w42XTwrBx
wV/wM7kcyKb/OlpvcD75eiviglvjssUhN4DXmNOi6A+0b4EvDTNL3klRt9CqJ2t0WuSLNZx1qasM
UUH+8pxQgDaVj+4JCJD5ACiUREI2Jo63N2/myg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20768)
`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
IVwhzgVHKFB2TP6SX83tVoOReksmVLTwykf7EqjmQmvQHoRHd7DcADhY7xJsPg7C6AXuV0ijYLXr
UbOd4nCOWg==
`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
Qffey7EIYZkXN7F3er0naudl0RZTjehjK9zR6KRkkCRNvskh6Ltybmp3Kd6+6mra3PF/dWkVmdwA
suVsKeek1YL6zOCS9PYNm0/5SqZM1xRrzFShKjwJu3RnbV0DzvzFKQQK8/WRorsHLsCGfuRCzT6S
b1gBkUS19r2rk5spy8s=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Gihy4ZyPY3p7KAoPuAI/ElRDSpenpQzZDGMv6EShcwtmNILVFk90x9LoON5eORjc/LAZJE6HEpNi
bfCHy4zrppEKnbhz1kQMFByO9QPMkfHYd/fuf6eajfN+1V2UuX/WtPwH4y1Ubwv8mnniCFz9DoMN
/lHKB7iamvikJnL5LtoUE6QB4CtYYWfe0fTtvtLUzblpo17sGfzW+ep3XS6AaQ22I51MYMCYFMXg
YCtr/uWS2LyGcU76PxbPrIlwV0v4DUob+n8VJYS6y4zyHE9j3FdOco0Vcziz6c5BQGV2/G4XxBQS
i7Z/29GMeWA3rqOkYCz6YyeYC8IV9QFsmtf2dA==
`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
IxLnGj+xM6+dZLqf3uATSWp/dwUBgRfH13V8tqLmJpsFK/NMjL34R1lQEXNXNGyYX6CJWf3MjAlC
i6GAY2qF3rqdtq14W/A/6EnJ0bTFHV/4cPv9FesmSh+vLO4XwraeA9RtWUCHsJt2rDofPfsb+ZET
cM/g1BwjjV53NSW3IDk=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
HRaaP0NOEY3nvHDqjhUaRDp/0XP/wvXeKZ3qEAEk5uMToNTgxbOxLE5Gf3QQgNDwCh9uzHIMUW8Z
MDefVnLQ+MDZH+aVLDxu+bo3v4kC7OeF3OXEkK+3N+c/r63olXTVDCSJZqwBDapVxk6XpPaOFLrD
cTxVnvNx+Hha5zL1qHETTJGflNlcrXb7o8w1JkzfboT1UGHgmxyvYmoZOVAmal8I/X5w42XTwrBx
wV/wM7kcyKb/OlpvcD75eiviglvjssUhN4DXmNOi6A+0b4EvDTNL3klRt9CqJ2t0WuSLNZx1qasM
UUH+8pxQgDaVj+4JCJD5ACiUREI2Jo63N2/myg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20768)
`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
IVwhzgVHKFB2TP6SX83tVoOReksmVLTwykf7EqjmQmvQHoRHd7DcADhY7xJsPg7C6AXuV0ijYLXr
UbOd4nCOWg==
`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
Qffey7EIYZkXN7F3er0naudl0RZTjehjK9zR6KRkkCRNvskh6Ltybmp3Kd6+6mra3PF/dWkVmdwA
suVsKeek1YL6zOCS9PYNm0/5SqZM1xRrzFShKjwJu3RnbV0DzvzFKQQK8/WRorsHLsCGfuRCzT6S
b1gBkUS19r2rk5spy8s=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Gihy4ZyPY3p7KAoPuAI/ElRDSpenpQzZDGMv6EShcwtmNILVFk90x9LoON5eORjc/LAZJE6HEpNi
bfCHy4zrppEKnbhz1kQMFByO9QPMkfHYd/fuf6eajfN+1V2UuX/WtPwH4y1Ubwv8mnniCFz9DoMN
/lHKB7iamvikJnL5LtoUE6QB4CtYYWfe0fTtvtLUzblpo17sGfzW+ep3XS6AaQ22I51MYMCYFMXg
YCtr/uWS2LyGcU76PxbPrIlwV0v4DUob+n8VJYS6y4zyHE9j3FdOco0Vcziz6c5BQGV2/G4XxBQS
i7Z/29GMeWA3rqOkYCz6YyeYC8IV9QFsmtf2dA==
`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
IxLnGj+xM6+dZLqf3uATSWp/dwUBgRfH13V8tqLmJpsFK/NMjL34R1lQEXNXNGyYX6CJWf3MjAlC
i6GAY2qF3rqdtq14W/A/6EnJ0bTFHV/4cPv9FesmSh+vLO4XwraeA9RtWUCHsJt2rDofPfsb+ZET
cM/g1BwjjV53NSW3IDk=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
HRaaP0NOEY3nvHDqjhUaRDp/0XP/wvXeKZ3qEAEk5uMToNTgxbOxLE5Gf3QQgNDwCh9uzHIMUW8Z
MDefVnLQ+MDZH+aVLDxu+bo3v4kC7OeF3OXEkK+3N+c/r63olXTVDCSJZqwBDapVxk6XpPaOFLrD
cTxVnvNx+Hha5zL1qHETTJGflNlcrXb7o8w1JkzfboT1UGHgmxyvYmoZOVAmal8I/X5w42XTwrBx
wV/wM7kcyKb/OlpvcD75eiviglvjssUhN4DXmNOi6A+0b4EvDTNL3klRt9CqJ2t0WuSLNZx1qasM
UUH+8pxQgDaVj+4JCJD5ACiUREI2Jo63N2/myg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20768)
`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
IVwhzgVHKFB2TP6SX83tVoOReksmVLTwykf7EqjmQmvQHoRHd7DcADhY7xJsPg7C6AXuV0ijYLXr
UbOd4nCOWg==
`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
Qffey7EIYZkXN7F3er0naudl0RZTjehjK9zR6KRkkCRNvskh6Ltybmp3Kd6+6mra3PF/dWkVmdwA
suVsKeek1YL6zOCS9PYNm0/5SqZM1xRrzFShKjwJu3RnbV0DzvzFKQQK8/WRorsHLsCGfuRCzT6S
b1gBkUS19r2rk5spy8s=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Gihy4ZyPY3p7KAoPuAI/ElRDSpenpQzZDGMv6EShcwtmNILVFk90x9LoON5eORjc/LAZJE6HEpNi
bfCHy4zrppEKnbhz1kQMFByO9QPMkfHYd/fuf6eajfN+1V2UuX/WtPwH4y1Ubwv8mnniCFz9DoMN
/lHKB7iamvikJnL5LtoUE6QB4CtYYWfe0fTtvtLUzblpo17sGfzW+ep3XS6AaQ22I51MYMCYFMXg
YCtr/uWS2LyGcU76PxbPrIlwV0v4DUob+n8VJYS6y4zyHE9j3FdOco0Vcziz6c5BQGV2/G4XxBQS
i7Z/29GMeWA3rqOkYCz6YyeYC8IV9QFsmtf2dA==
`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
IxLnGj+xM6+dZLqf3uATSWp/dwUBgRfH13V8tqLmJpsFK/NMjL34R1lQEXNXNGyYX6CJWf3MjAlC
i6GAY2qF3rqdtq14W/A/6EnJ0bTFHV/4cPv9FesmSh+vLO4XwraeA9RtWUCHsJt2rDofPfsb+ZET
cM/g1BwjjV53NSW3IDk=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
HRaaP0NOEY3nvHDqjhUaRDp/0XP/wvXeKZ3qEAEk5uMToNTgxbOxLE5Gf3QQgNDwCh9uzHIMUW8Z
MDefVnLQ+MDZH+aVLDxu+bo3v4kC7OeF3OXEkK+3N+c/r63olXTVDCSJZqwBDapVxk6XpPaOFLrD
cTxVnvNx+Hha5zL1qHETTJGflNlcrXb7o8w1JkzfboT1UGHgmxyvYmoZOVAmal8I/X5w42XTwrBx
wV/wM7kcyKb/OlpvcD75eiviglvjssUhN4DXmNOi6A+0b4EvDTNL3klRt9CqJ2t0WuSLNZx1qasM
UUH+8pxQgDaVj+4JCJD5ACiUREI2Jo63N2/myg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20768)
`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
IVwhzgVHKFB2TP6SX83tVoOReksmVLTwykf7EqjmQmvQHoRHd7DcADhY7xJsPg7C6AXuV0ijYLXr
UbOd4nCOWg==
`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
Qffey7EIYZkXN7F3er0naudl0RZTjehjK9zR6KRkkCRNvskh6Ltybmp3Kd6+6mra3PF/dWkVmdwA
suVsKeek1YL6zOCS9PYNm0/5SqZM1xRrzFShKjwJu3RnbV0DzvzFKQQK8/WRorsHLsCGfuRCzT6S
b1gBkUS19r2rk5spy8s=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Gihy4ZyPY3p7KAoPuAI/ElRDSpenpQzZDGMv6EShcwtmNILVFk90x9LoON5eORjc/LAZJE6HEpNi
bfCHy4zrppEKnbhz1kQMFByO9QPMkfHYd/fuf6eajfN+1V2UuX/WtPwH4y1Ubwv8mnniCFz9DoMN
/lHKB7iamvikJnL5LtoUE6QB4CtYYWfe0fTtvtLUzblpo17sGfzW+ep3XS6AaQ22I51MYMCYFMXg
YCtr/uWS2LyGcU76PxbPrIlwV0v4DUob+n8VJYS6y4zyHE9j3FdOco0Vcziz6c5BQGV2/G4XxBQS
i7Z/29GMeWA3rqOkYCz6YyeYC8IV9QFsmtf2dA==
`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
IxLnGj+xM6+dZLqf3uATSWp/dwUBgRfH13V8tqLmJpsFK/NMjL34R1lQEXNXNGyYX6CJWf3MjAlC
i6GAY2qF3rqdtq14W/A/6EnJ0bTFHV/4cPv9FesmSh+vLO4XwraeA9RtWUCHsJt2rDofPfsb+ZET
cM/g1BwjjV53NSW3IDk=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
HRaaP0NOEY3nvHDqjhUaRDp/0XP/wvXeKZ3qEAEk5uMToNTgxbOxLE5Gf3QQgNDwCh9uzHIMUW8Z
MDefVnLQ+MDZH+aVLDxu+bo3v4kC7OeF3OXEkK+3N+c/r63olXTVDCSJZqwBDapVxk6XpPaOFLrD
cTxVnvNx+Hha5zL1qHETTJGflNlcrXb7o8w1JkzfboT1UGHgmxyvYmoZOVAmal8I/X5w42XTwrBx
wV/wM7kcyKb/OlpvcD75eiviglvjssUhN4DXmNOi6A+0b4EvDTNL3klRt9CqJ2t0WuSLNZx1qasM
UUH+8pxQgDaVj+4JCJD5ACiUREI2Jo63N2/myg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20768)
`protect data_block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`protect end_protected
|
architecture RTL of FIFO is
procedure rst_procedure is
attribute mark_debug of wr_en : signal is "true";
attribute mark_debug of almost_empty : signal is "true";
attribute mark_debug of full : signal is "true";
begin
end procedure;
begin
PROC_1 : process
attribute mark_debug of wr_en : signal is "true";
attribute mark_debug of almost_empty : signal is "true";
attribute mark_debug of full : signal is "true";
procedure rst_procedure is
attribute mark_debug of wr_en : signal is "true";
attribute mark_debug of almost_empty : signal is "true";
attribute mark_debug of full : signal is "true";
begin
end procedure;
begin
end process;
end architecture RTL;
|
-- VGA Synchronisation Circuit
-- 640x480 60Hz - Adjust clock divisor to generate a 25 Mhz pixel tick
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
entity vga_sync is
generic(
CLOCK_DIVISOR: integer := 4;
--
SCREEN_WIDTH: integer := 640;
SCREEN_HEIGHT: integer := 480;
--
TOTAL_WIDTH: integer := 800;
TOTAL_HEIGHT: integer := 525;
--
HSYNC_START: integer := 656;
HSYNC_STOP: integer := 752;
HSYNC_POLARITY: std_logic := '0'; -- 0 negative polarity, 1 positive polarity
--
VSYNC_START: integer := 490;
VSYNC_STOP: integer := 492;
VSYNC_POLARITY: std_logic := '0' -- 0 negative polarity, 1 positive polarity
);
port(
clk, reset: in std_logic;
hsync, vsync: out std_logic;
pixel_tick: out std_logic;
x, y: out std_logic_vector(9 downto 0);
video_on: out std_logic
);
end vga_sync;
architecture arch of vga_sync is
constant CLOCK_DIVISOR_WIDTH: integer := 2;
signal pixel_tick_internal: std_logic;
-- Sync. counters
signal vcount_reg, vcount_next: unsigned(9 downto 0);
signal hcount_reg, hcount_next: unsigned(9 downto 0);
-- Output buffer
signal vsync_reg, vsync_next: std_logic;
signal hsync_reg, hsync_next: std_logic;
begin
-- Generate Pixel Tick
vga_clock: entity work.counter_mod_m
generic map(N => CLOCK_DIVISOR_WIDTH, M => CLOCK_DIVISOR)
port map(clk => clk, reset => reset, max_tick => pixel_tick_internal);
-- State registers
process(clk, reset)
begin
if reset='1' then
vcount_reg <= (others => '0');
hcount_reg <= (others => '0');
vsync_reg <= '0';
hsync_reg <= '0';
elsif rising_edge(clk) then
vcount_reg <= vcount_next;
hcount_reg <= hcount_next;
vsync_reg <= vsync_next;
hsync_reg <= hsync_next;
end if;
end process;
-- Increment hcount/vcount
process(hcount_reg, vcount_reg, pixel_tick_internal)
begin
hcount_next <= hcount_reg;
vcount_next <= vcount_reg;
if pixel_tick_internal = '1' then
if hcount_reg = TOTAL_WIDTH-1 then
hcount_next <= (others => '0');
if vcount_reg = TOTAL_HEIGHT-1 then
vcount_next <= (others => '0');
else
vcount_next <= vcount_reg + 1;
end if;
else
hcount_next <= hcount_reg + 1;
end if;
end if;
end process;
-- Hsync/Vsync
hsync_next <= HSYNC_POLARITY when hcount_reg >= HSYNC_START and hcount_reg < HSYNC_STOP-1 else
not HSYNC_POLARITY;
vsync_next <= VSYNC_POLARITY when vcount_reg >= VSYNC_START and vcount_reg < VSYNC_STOP-1 else
not VSYNC_POLARITY;
-- Output
pixel_tick <= pixel_tick_internal;
hsync <= hsync_reg;
vsync <= vsync_reg;
x <= std_logic_vector(hcount_reg);
y <= std_logic_vector(vcount_reg);
video_on <= '1' when hcount_reg < SCREEN_WIDTH and vcount_reg < SCREEN_HEIGHT else '0';
end arch; |
-------------------------------------------------------------------------------
-- correct_one_bit.vhd
-------------------------------------------------------------------------------
--
--
-- (c) Copyright [2010 - 2013] Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
--
------------------------------------------------------------------------------
-- Filename: correct_one_bit.vhd
--
-- Description: Identifies single bit to correct in 32-bit word of
-- data read from memory as indicated by the syndrome input
-- vector.
--
-- VHDL-Standard: VHDL'93
--
-------------------------------------------------------------------------------
-- Structure:
-- axi_bram_ctrl.vhd (v1_03_a)
-- |
-- |-- full_axi.vhd
-- | -- sng_port_arb.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- wr_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- | -- rd_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- |-- axi_lite.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
--
--
--
-------------------------------------------------------------------------------
--
-- History:
--
-- ^^^^^^
-- JLJ 2/1/2011 v1.03a
-- ~~~~~~
-- Migrate to v1.03a.
-- Plus minor code cleanup.
-- ^^^^^^
--
--
-------------------------------------------------------------------------------
-- 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>
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library unisim;
use unisim.vcomponents.all;
entity Correct_One_Bit is
generic (
C_USE_LUT6 : boolean := true;
Correct_Value : std_logic_vector(0 to 6));
port (
DIn : in std_logic;
Syndrome : in std_logic_vector(0 to 6);
DCorr : out std_logic);
end entity Correct_One_Bit;
architecture IMP of Correct_One_Bit is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of IMP : architecture is "yes";
-----------------------------------------------------------------------------
-- Find which bit that has a '1'
-- There is always one bit which has a '1'
-----------------------------------------------------------------------------
function find_one (Syn : std_logic_vector(0 to 6)) return natural is
begin -- function find_one
for I in 0 to 6 loop
if (Syn(I) = '1') then
return I;
end if;
end loop; -- I
return 0; -- Should never reach this statement
end function find_one;
constant di_index : natural := find_one(Correct_Value);
signal corr_sel : std_logic;
signal corr_c : std_logic;
signal lut_compare : std_logic_vector(0 to 5);
signal lut_corr_val : std_logic_vector(0 to 5);
begin -- architecture IMP
Remove_DI_Index : process (Syndrome) is
begin -- process Remove_DI_Index
if (di_index = 0) then
lut_compare <= Syndrome(1 to 6);
lut_corr_val <= Correct_Value(1 to 6);
elsif (di_index = 6) then
lut_compare <= Syndrome(0 to 5);
lut_corr_val <= Correct_Value(0 to 5);
else
lut_compare <= Syndrome(0 to di_index-1) & Syndrome(di_index+1 to 6);
lut_corr_val <= Correct_Value(0 to di_index-1) & Correct_Value(di_index+1 to 6);
end if;
end process Remove_DI_Index;
-- Corr_LUT : LUT6
-- generic map(
-- INIT => X"6996966996696996"
-- )
-- port map(
-- O => corr_sel, -- [out]
-- I0 => InA(5), -- [in]
-- I1 => InA(4), -- [in]
-- I2 => InA(3), -- [in]
-- I3 => InA(2), -- [in]
-- I4 => InA(1), -- [in]
-- I5 => InA(0) -- [in]
-- );
corr_sel <= '0' when lut_compare = lut_corr_val else '1';
Corr_MUXCY : MUXCY_L
port map (
DI => Syndrome(di_index),
CI => '0',
S => corr_sel,
LO => corr_c);
Corr_XORCY : XORCY
port map (
LI => DIn,
CI => corr_c,
O => DCorr);
end architecture IMP;
|
-------------------------------------------------------------------------------
-- correct_one_bit.vhd
-------------------------------------------------------------------------------
--
--
-- (c) Copyright [2010 - 2013] Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
--
------------------------------------------------------------------------------
-- Filename: correct_one_bit.vhd
--
-- Description: Identifies single bit to correct in 32-bit word of
-- data read from memory as indicated by the syndrome input
-- vector.
--
-- VHDL-Standard: VHDL'93
--
-------------------------------------------------------------------------------
-- Structure:
-- axi_bram_ctrl.vhd (v1_03_a)
-- |
-- |-- full_axi.vhd
-- | -- sng_port_arb.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- wr_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- | -- rd_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- |-- axi_lite.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
--
--
--
-------------------------------------------------------------------------------
--
-- History:
--
-- ^^^^^^
-- JLJ 2/1/2011 v1.03a
-- ~~~~~~
-- Migrate to v1.03a.
-- Plus minor code cleanup.
-- ^^^^^^
--
--
-------------------------------------------------------------------------------
-- 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>
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library unisim;
use unisim.vcomponents.all;
entity Correct_One_Bit is
generic (
C_USE_LUT6 : boolean := true;
Correct_Value : std_logic_vector(0 to 6));
port (
DIn : in std_logic;
Syndrome : in std_logic_vector(0 to 6);
DCorr : out std_logic);
end entity Correct_One_Bit;
architecture IMP of Correct_One_Bit is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of IMP : architecture is "yes";
-----------------------------------------------------------------------------
-- Find which bit that has a '1'
-- There is always one bit which has a '1'
-----------------------------------------------------------------------------
function find_one (Syn : std_logic_vector(0 to 6)) return natural is
begin -- function find_one
for I in 0 to 6 loop
if (Syn(I) = '1') then
return I;
end if;
end loop; -- I
return 0; -- Should never reach this statement
end function find_one;
constant di_index : natural := find_one(Correct_Value);
signal corr_sel : std_logic;
signal corr_c : std_logic;
signal lut_compare : std_logic_vector(0 to 5);
signal lut_corr_val : std_logic_vector(0 to 5);
begin -- architecture IMP
Remove_DI_Index : process (Syndrome) is
begin -- process Remove_DI_Index
if (di_index = 0) then
lut_compare <= Syndrome(1 to 6);
lut_corr_val <= Correct_Value(1 to 6);
elsif (di_index = 6) then
lut_compare <= Syndrome(0 to 5);
lut_corr_val <= Correct_Value(0 to 5);
else
lut_compare <= Syndrome(0 to di_index-1) & Syndrome(di_index+1 to 6);
lut_corr_val <= Correct_Value(0 to di_index-1) & Correct_Value(di_index+1 to 6);
end if;
end process Remove_DI_Index;
-- Corr_LUT : LUT6
-- generic map(
-- INIT => X"6996966996696996"
-- )
-- port map(
-- O => corr_sel, -- [out]
-- I0 => InA(5), -- [in]
-- I1 => InA(4), -- [in]
-- I2 => InA(3), -- [in]
-- I3 => InA(2), -- [in]
-- I4 => InA(1), -- [in]
-- I5 => InA(0) -- [in]
-- );
corr_sel <= '0' when lut_compare = lut_corr_val else '1';
Corr_MUXCY : MUXCY_L
port map (
DI => Syndrome(di_index),
CI => '0',
S => corr_sel,
LO => corr_c);
Corr_XORCY : XORCY
port map (
LI => DIn,
CI => corr_c,
O => DCorr);
end architecture IMP;
|
-------------------------------------------------------------------------------
-- correct_one_bit.vhd
-------------------------------------------------------------------------------
--
--
-- (c) Copyright [2010 - 2013] Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
--
------------------------------------------------------------------------------
-- Filename: correct_one_bit.vhd
--
-- Description: Identifies single bit to correct in 32-bit word of
-- data read from memory as indicated by the syndrome input
-- vector.
--
-- VHDL-Standard: VHDL'93
--
-------------------------------------------------------------------------------
-- Structure:
-- axi_bram_ctrl.vhd (v1_03_a)
-- |
-- |-- full_axi.vhd
-- | -- sng_port_arb.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- wr_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- | -- rd_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- |-- axi_lite.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
--
--
--
-------------------------------------------------------------------------------
--
-- History:
--
-- ^^^^^^
-- JLJ 2/1/2011 v1.03a
-- ~~~~~~
-- Migrate to v1.03a.
-- Plus minor code cleanup.
-- ^^^^^^
--
--
-------------------------------------------------------------------------------
-- 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>
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library unisim;
use unisim.vcomponents.all;
entity Correct_One_Bit is
generic (
C_USE_LUT6 : boolean := true;
Correct_Value : std_logic_vector(0 to 6));
port (
DIn : in std_logic;
Syndrome : in std_logic_vector(0 to 6);
DCorr : out std_logic);
end entity Correct_One_Bit;
architecture IMP of Correct_One_Bit is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of IMP : architecture is "yes";
-----------------------------------------------------------------------------
-- Find which bit that has a '1'
-- There is always one bit which has a '1'
-----------------------------------------------------------------------------
function find_one (Syn : std_logic_vector(0 to 6)) return natural is
begin -- function find_one
for I in 0 to 6 loop
if (Syn(I) = '1') then
return I;
end if;
end loop; -- I
return 0; -- Should never reach this statement
end function find_one;
constant di_index : natural := find_one(Correct_Value);
signal corr_sel : std_logic;
signal corr_c : std_logic;
signal lut_compare : std_logic_vector(0 to 5);
signal lut_corr_val : std_logic_vector(0 to 5);
begin -- architecture IMP
Remove_DI_Index : process (Syndrome) is
begin -- process Remove_DI_Index
if (di_index = 0) then
lut_compare <= Syndrome(1 to 6);
lut_corr_val <= Correct_Value(1 to 6);
elsif (di_index = 6) then
lut_compare <= Syndrome(0 to 5);
lut_corr_val <= Correct_Value(0 to 5);
else
lut_compare <= Syndrome(0 to di_index-1) & Syndrome(di_index+1 to 6);
lut_corr_val <= Correct_Value(0 to di_index-1) & Correct_Value(di_index+1 to 6);
end if;
end process Remove_DI_Index;
-- Corr_LUT : LUT6
-- generic map(
-- INIT => X"6996966996696996"
-- )
-- port map(
-- O => corr_sel, -- [out]
-- I0 => InA(5), -- [in]
-- I1 => InA(4), -- [in]
-- I2 => InA(3), -- [in]
-- I3 => InA(2), -- [in]
-- I4 => InA(1), -- [in]
-- I5 => InA(0) -- [in]
-- );
corr_sel <= '0' when lut_compare = lut_corr_val else '1';
Corr_MUXCY : MUXCY_L
port map (
DI => Syndrome(di_index),
CI => '0',
S => corr_sel,
LO => corr_c);
Corr_XORCY : XORCY
port map (
LI => DIn,
CI => corr_c,
O => DCorr);
end architecture IMP;
|
-------------------------------------------------------------------------------
-- correct_one_bit.vhd
-------------------------------------------------------------------------------
--
--
-- (c) Copyright [2010 - 2013] Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
--
------------------------------------------------------------------------------
-- Filename: correct_one_bit.vhd
--
-- Description: Identifies single bit to correct in 32-bit word of
-- data read from memory as indicated by the syndrome input
-- vector.
--
-- VHDL-Standard: VHDL'93
--
-------------------------------------------------------------------------------
-- Structure:
-- axi_bram_ctrl.vhd (v1_03_a)
-- |
-- |-- full_axi.vhd
-- | -- sng_port_arb.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- wr_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- | -- rd_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- |-- axi_lite.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
--
--
--
-------------------------------------------------------------------------------
--
-- History:
--
-- ^^^^^^
-- JLJ 2/1/2011 v1.03a
-- ~~~~~~
-- Migrate to v1.03a.
-- Plus minor code cleanup.
-- ^^^^^^
--
--
-------------------------------------------------------------------------------
-- 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>
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library unisim;
use unisim.vcomponents.all;
entity Correct_One_Bit is
generic (
C_USE_LUT6 : boolean := true;
Correct_Value : std_logic_vector(0 to 6));
port (
DIn : in std_logic;
Syndrome : in std_logic_vector(0 to 6);
DCorr : out std_logic);
end entity Correct_One_Bit;
architecture IMP of Correct_One_Bit is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of IMP : architecture is "yes";
-----------------------------------------------------------------------------
-- Find which bit that has a '1'
-- There is always one bit which has a '1'
-----------------------------------------------------------------------------
function find_one (Syn : std_logic_vector(0 to 6)) return natural is
begin -- function find_one
for I in 0 to 6 loop
if (Syn(I) = '1') then
return I;
end if;
end loop; -- I
return 0; -- Should never reach this statement
end function find_one;
constant di_index : natural := find_one(Correct_Value);
signal corr_sel : std_logic;
signal corr_c : std_logic;
signal lut_compare : std_logic_vector(0 to 5);
signal lut_corr_val : std_logic_vector(0 to 5);
begin -- architecture IMP
Remove_DI_Index : process (Syndrome) is
begin -- process Remove_DI_Index
if (di_index = 0) then
lut_compare <= Syndrome(1 to 6);
lut_corr_val <= Correct_Value(1 to 6);
elsif (di_index = 6) then
lut_compare <= Syndrome(0 to 5);
lut_corr_val <= Correct_Value(0 to 5);
else
lut_compare <= Syndrome(0 to di_index-1) & Syndrome(di_index+1 to 6);
lut_corr_val <= Correct_Value(0 to di_index-1) & Correct_Value(di_index+1 to 6);
end if;
end process Remove_DI_Index;
-- Corr_LUT : LUT6
-- generic map(
-- INIT => X"6996966996696996"
-- )
-- port map(
-- O => corr_sel, -- [out]
-- I0 => InA(5), -- [in]
-- I1 => InA(4), -- [in]
-- I2 => InA(3), -- [in]
-- I3 => InA(2), -- [in]
-- I4 => InA(1), -- [in]
-- I5 => InA(0) -- [in]
-- );
corr_sel <= '0' when lut_compare = lut_corr_val else '1';
Corr_MUXCY : MUXCY_L
port map (
DI => Syndrome(di_index),
CI => '0',
S => corr_sel,
LO => corr_c);
Corr_XORCY : XORCY
port map (
LI => DIn,
CI => corr_c,
O => DCorr);
end architecture IMP;
|
-------------------------------------------------------------------------------
-- correct_one_bit.vhd
-------------------------------------------------------------------------------
--
--
-- (c) Copyright [2010 - 2013] Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
--
------------------------------------------------------------------------------
-- Filename: correct_one_bit.vhd
--
-- Description: Identifies single bit to correct in 32-bit word of
-- data read from memory as indicated by the syndrome input
-- vector.
--
-- VHDL-Standard: VHDL'93
--
-------------------------------------------------------------------------------
-- Structure:
-- axi_bram_ctrl.vhd (v1_03_a)
-- |
-- |-- full_axi.vhd
-- | -- sng_port_arb.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- wr_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- | -- rd_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- |-- axi_lite.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
--
--
--
-------------------------------------------------------------------------------
--
-- History:
--
-- ^^^^^^
-- JLJ 2/1/2011 v1.03a
-- ~~~~~~
-- Migrate to v1.03a.
-- Plus minor code cleanup.
-- ^^^^^^
--
--
-------------------------------------------------------------------------------
-- 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>
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library unisim;
use unisim.vcomponents.all;
entity Correct_One_Bit is
generic (
C_USE_LUT6 : boolean := true;
Correct_Value : std_logic_vector(0 to 6));
port (
DIn : in std_logic;
Syndrome : in std_logic_vector(0 to 6);
DCorr : out std_logic);
end entity Correct_One_Bit;
architecture IMP of Correct_One_Bit is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of IMP : architecture is "yes";
-----------------------------------------------------------------------------
-- Find which bit that has a '1'
-- There is always one bit which has a '1'
-----------------------------------------------------------------------------
function find_one (Syn : std_logic_vector(0 to 6)) return natural is
begin -- function find_one
for I in 0 to 6 loop
if (Syn(I) = '1') then
return I;
end if;
end loop; -- I
return 0; -- Should never reach this statement
end function find_one;
constant di_index : natural := find_one(Correct_Value);
signal corr_sel : std_logic;
signal corr_c : std_logic;
signal lut_compare : std_logic_vector(0 to 5);
signal lut_corr_val : std_logic_vector(0 to 5);
begin -- architecture IMP
Remove_DI_Index : process (Syndrome) is
begin -- process Remove_DI_Index
if (di_index = 0) then
lut_compare <= Syndrome(1 to 6);
lut_corr_val <= Correct_Value(1 to 6);
elsif (di_index = 6) then
lut_compare <= Syndrome(0 to 5);
lut_corr_val <= Correct_Value(0 to 5);
else
lut_compare <= Syndrome(0 to di_index-1) & Syndrome(di_index+1 to 6);
lut_corr_val <= Correct_Value(0 to di_index-1) & Correct_Value(di_index+1 to 6);
end if;
end process Remove_DI_Index;
-- Corr_LUT : LUT6
-- generic map(
-- INIT => X"6996966996696996"
-- )
-- port map(
-- O => corr_sel, -- [out]
-- I0 => InA(5), -- [in]
-- I1 => InA(4), -- [in]
-- I2 => InA(3), -- [in]
-- I3 => InA(2), -- [in]
-- I4 => InA(1), -- [in]
-- I5 => InA(0) -- [in]
-- );
corr_sel <= '0' when lut_compare = lut_corr_val else '1';
Corr_MUXCY : MUXCY_L
port map (
DI => Syndrome(di_index),
CI => '0',
S => corr_sel,
LO => corr_c);
Corr_XORCY : XORCY
port map (
LI => DIn,
CI => corr_c,
O => DCorr);
end architecture IMP;
|
-------------------------------------------------------------------------------
-- correct_one_bit.vhd
-------------------------------------------------------------------------------
--
--
-- (c) Copyright [2010 - 2013] Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
--
------------------------------------------------------------------------------
-- Filename: correct_one_bit.vhd
--
-- Description: Identifies single bit to correct in 32-bit word of
-- data read from memory as indicated by the syndrome input
-- vector.
--
-- VHDL-Standard: VHDL'93
--
-------------------------------------------------------------------------------
-- Structure:
-- axi_bram_ctrl.vhd (v1_03_a)
-- |
-- |-- full_axi.vhd
-- | -- sng_port_arb.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- wr_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- | -- rd_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- |-- axi_lite.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
--
--
--
-------------------------------------------------------------------------------
--
-- History:
--
-- ^^^^^^
-- JLJ 2/1/2011 v1.03a
-- ~~~~~~
-- Migrate to v1.03a.
-- Plus minor code cleanup.
-- ^^^^^^
--
--
-------------------------------------------------------------------------------
-- 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>
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library unisim;
use unisim.vcomponents.all;
entity Correct_One_Bit is
generic (
C_USE_LUT6 : boolean := true;
Correct_Value : std_logic_vector(0 to 6));
port (
DIn : in std_logic;
Syndrome : in std_logic_vector(0 to 6);
DCorr : out std_logic);
end entity Correct_One_Bit;
architecture IMP of Correct_One_Bit is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of IMP : architecture is "yes";
-----------------------------------------------------------------------------
-- Find which bit that has a '1'
-- There is always one bit which has a '1'
-----------------------------------------------------------------------------
function find_one (Syn : std_logic_vector(0 to 6)) return natural is
begin -- function find_one
for I in 0 to 6 loop
if (Syn(I) = '1') then
return I;
end if;
end loop; -- I
return 0; -- Should never reach this statement
end function find_one;
constant di_index : natural := find_one(Correct_Value);
signal corr_sel : std_logic;
signal corr_c : std_logic;
signal lut_compare : std_logic_vector(0 to 5);
signal lut_corr_val : std_logic_vector(0 to 5);
begin -- architecture IMP
Remove_DI_Index : process (Syndrome) is
begin -- process Remove_DI_Index
if (di_index = 0) then
lut_compare <= Syndrome(1 to 6);
lut_corr_val <= Correct_Value(1 to 6);
elsif (di_index = 6) then
lut_compare <= Syndrome(0 to 5);
lut_corr_val <= Correct_Value(0 to 5);
else
lut_compare <= Syndrome(0 to di_index-1) & Syndrome(di_index+1 to 6);
lut_corr_val <= Correct_Value(0 to di_index-1) & Correct_Value(di_index+1 to 6);
end if;
end process Remove_DI_Index;
-- Corr_LUT : LUT6
-- generic map(
-- INIT => X"6996966996696996"
-- )
-- port map(
-- O => corr_sel, -- [out]
-- I0 => InA(5), -- [in]
-- I1 => InA(4), -- [in]
-- I2 => InA(3), -- [in]
-- I3 => InA(2), -- [in]
-- I4 => InA(1), -- [in]
-- I5 => InA(0) -- [in]
-- );
corr_sel <= '0' when lut_compare = lut_corr_val else '1';
Corr_MUXCY : MUXCY_L
port map (
DI => Syndrome(di_index),
CI => '0',
S => corr_sel,
LO => corr_c);
Corr_XORCY : XORCY
port map (
LI => DIn,
CI => corr_c,
O => DCorr);
end architecture IMP;
|
-------------------------------------------------------------------------------
-- correct_one_bit.vhd
-------------------------------------------------------------------------------
--
--
-- (c) Copyright [2010 - 2013] Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
--
------------------------------------------------------------------------------
-- Filename: correct_one_bit.vhd
--
-- Description: Identifies single bit to correct in 32-bit word of
-- data read from memory as indicated by the syndrome input
-- vector.
--
-- VHDL-Standard: VHDL'93
--
-------------------------------------------------------------------------------
-- Structure:
-- axi_bram_ctrl.vhd (v1_03_a)
-- |
-- |-- full_axi.vhd
-- | -- sng_port_arb.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- wr_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- | -- rd_chnl.vhd
-- | -- wrap_brst.vhd
-- | -- ua_narrow.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- parity.vhd
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
-- |
-- |-- axi_lite.vhd
-- | -- lite_ecc_reg.vhd
-- | -- axi_lite_if.vhd
-- | -- checkbit_handler.vhd
-- | -- xor18.vhd
-- | -- parity.vhd
-- | -- checkbit_handler_64.vhd
-- | -- (same helper components as checkbit_handler)
-- | -- correct_one_bit.vhd
-- | -- correct_one_bit_64.vhd
--
--
--
-------------------------------------------------------------------------------
--
-- History:
--
-- ^^^^^^
-- JLJ 2/1/2011 v1.03a
-- ~~~~~~
-- Migrate to v1.03a.
-- Plus minor code cleanup.
-- ^^^^^^
--
--
-------------------------------------------------------------------------------
-- 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>
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library unisim;
use unisim.vcomponents.all;
entity Correct_One_Bit is
generic (
C_USE_LUT6 : boolean := true;
Correct_Value : std_logic_vector(0 to 6));
port (
DIn : in std_logic;
Syndrome : in std_logic_vector(0 to 6);
DCorr : out std_logic);
end entity Correct_One_Bit;
architecture IMP of Correct_One_Bit is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of IMP : architecture is "yes";
-----------------------------------------------------------------------------
-- Find which bit that has a '1'
-- There is always one bit which has a '1'
-----------------------------------------------------------------------------
function find_one (Syn : std_logic_vector(0 to 6)) return natural is
begin -- function find_one
for I in 0 to 6 loop
if (Syn(I) = '1') then
return I;
end if;
end loop; -- I
return 0; -- Should never reach this statement
end function find_one;
constant di_index : natural := find_one(Correct_Value);
signal corr_sel : std_logic;
signal corr_c : std_logic;
signal lut_compare : std_logic_vector(0 to 5);
signal lut_corr_val : std_logic_vector(0 to 5);
begin -- architecture IMP
Remove_DI_Index : process (Syndrome) is
begin -- process Remove_DI_Index
if (di_index = 0) then
lut_compare <= Syndrome(1 to 6);
lut_corr_val <= Correct_Value(1 to 6);
elsif (di_index = 6) then
lut_compare <= Syndrome(0 to 5);
lut_corr_val <= Correct_Value(0 to 5);
else
lut_compare <= Syndrome(0 to di_index-1) & Syndrome(di_index+1 to 6);
lut_corr_val <= Correct_Value(0 to di_index-1) & Correct_Value(di_index+1 to 6);
end if;
end process Remove_DI_Index;
-- Corr_LUT : LUT6
-- generic map(
-- INIT => X"6996966996696996"
-- )
-- port map(
-- O => corr_sel, -- [out]
-- I0 => InA(5), -- [in]
-- I1 => InA(4), -- [in]
-- I2 => InA(3), -- [in]
-- I3 => InA(2), -- [in]
-- I4 => InA(1), -- [in]
-- I5 => InA(0) -- [in]
-- );
corr_sel <= '0' when lut_compare = lut_corr_val else '1';
Corr_MUXCY : MUXCY_L
port map (
DI => Syndrome(di_index),
CI => '0',
S => corr_sel,
LO => corr_c);
Corr_XORCY : XORCY
port map (
LI => DIn,
CI => corr_c,
O => DCorr);
end architecture IMP;
|
library verilog;
use verilog.vl_types.all;
entity separa is
port(
A : in vl_logic;
B : in vl_logic;
C : in vl_logic;
D : in vl_logic;
E : in vl_logic;
z0 : out vl_logic;
z1 : out vl_logic;
z2 : out vl_logic;
z3 : out vl_logic;
z4 : out vl_logic
);
end separa;
|
--------------Produces the Coordinate pairs that Roaches will be placed on
--------------Uses an LFSR Galois to produce pseudorandom numbers
-------------we battle the pseudorandomness by making the user uknowingly responsible of selecting when we actually start recieving the LFSR's sequence
-------------thus starting from a different point each time
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.NUMERIC_STD.ALL;
entity Randomize is
Port ( Clk : in STD_LOGIC;
Reset : in STD_LOGIC;
Enable : in Std_Logic;
Data_in : in STD_LOGIC_VECTOR (4 downto 0);
Request_Set : out STD_LOGIC;
X_out : out STD_LOGIC_VECTOR (4 downto 0);
Y_out : out STD_LOGIC_VECTOR (4 downto 0);
Data_out : out STD_LOGIC_VECTOR (4 downto 0);
Done:out STD_LOGIC);
end Randomize;
architecture Behavioral of Randomize is ----------------------------COMPONENTS
Component Random
port( Clk : in STD_LOGIC;
Enable : in STD_LOGIC;
x_co : out STD_LOGIC_VECTOR (4 downto 0);
y_co : out STD_LOGIC_VECTOR (4 downto 0));
end component;
Component Register5
port(rst_n : in STD_LOGIC;
clk : in STD_LOGIC;
enable : in STD_LOGIC;
din : in STD_LOGIC_VECTOR ( 4 DOWNTO 0 );
dout : out STD_LOGIC_VECTOR ( 4 DOWNTO 0 )
);
end component;
Component Register7
port(rst_n : in STD_LOGIC;
clk : in STD_LOGIC;
enable : in STD_LOGIC;
din : in STD_LOGIC_VECTOR ( 6 DOWNTO 0 );
dout : out STD_LOGIC_VECTOR ( 6 DOWNTO 0 )
);
end component;
-----------------------------------------------------------------SIGNALS
signal x_temp: STD_LOGIC_VECTOR (4 downto 0);
signal y_temp: STD_LOGIC_VECTOR (4 downto 0);
signal x_reg_in: STD_LOGIC_VECTOR (4 downto 0);
signal y_reg_in: STD_LOGIC_VECTOR (4 downto 0);
signal x_reg_out: STD_LOGIC_VECTOR (4 downto 0);
signal y_reg_out: STD_LOGIC_VECTOR (4 downto 0);
signal x_reg_en: STD_LOGIC := '0';
signal y_reg_en: STD_LOGIC := '0';
signal num_of_bombs_unsigned: unsigned(6 downto 0):=("0000000");
signal num_of_bombs_in: STD_LOGIC_VECTOR (6 downto 0) := (others => '0');
signal num_of_bombs_out: STD_LOGIC_VECTOR (6 downto 0);
signal bombs_en: STD_LOGIC := '0';
signal rqset, done_sig: STD_LOGIC := '0';
signal num_of_bombs : natural := 0;
signal Data_out_temp: STD_LOGIC_VECTOR (3 downto 0) := (others => '0');
------------------------------------------------------------------STATES
Type State_type is
(Idle_st,Data_st,Done_st,Wait_st1,Wait_st2);
Signal state: State_type:=(Idle_st);
begin
Request_set <= rqset;
Done <= done_sig;
----------------------------------------------------------DESIGN
process
begin
WAIT UNTIL Clk'event AND Clk='1';
If Reset='1' then
num_of_bombs_unsigned<="0000000";
num_of_bombs <= 0;
rqset<='0';
done_sig<='0';
bombs_en<='0';
x_reg_en<='0';
y_reg_en<='0';
Data_out_temp<="0000";
state<=Idle_st;
else
CASE state is
WHEN Idle_st=>-------------------------------------waits for coordinates
------NUMBER OF BOMBS : 81
if (num_of_bombs >= 81) then
state<=Done_st;
else
if (x_temp="00000" OR y_temp="00000") then
state<=Idle_st;
else
state<=Wait_st1;
x_reg_en<='1';
y_reg_en<='1';
x_reg_in<=x_temp;-------------------------saves coordinates
y_reg_in<=y_temp;
end if;
done_sig<='0';
end if;
Data_out_temp<="0000";
rqset<='0';
bombs_en<='0';
WHEN Wait_st1=>
x_reg_en<='0';
y_reg_en<='0';
state<=Wait_st2;
WHEN Wait_st2=>
state<=Data_st;
WHEN Data_st=>---after wait states the data is the desired one
if(Data_in="00000") then -----empty cell place bomb
rqset<='1';----------set=mem_write_en
Data_out_temp<="1111";---------unexplored bomb
bombs_en<='1';
num_of_bombs <= num_of_bombs + 1;
state<=Idle_st;
else
state<=Idle_st;
end if;
WHEN Done_st=>
--state<=Done_st;
done_sig<='1';
WHEN OTHERS=>NULL;
end CASE;
end if;
end process;
------------
num_of_bombs_in<=STD_LOGIC_VECTOR(num_of_bombs_unsigned);
X_out<=x_reg_out;
Y_out<=y_reg_out;
Data_out<="0"&Data_out_temp;
-----------------------------------------------------------PORT MAPS
t_Random : Random port map(Clk,Enable,x_temp,y_temp);
num_of_bombs_reg: Register7 port map(Reset,Clk,bombs_en,num_of_bombs_in,num_of_bombs_out);
X_reg: Register5 port map(Reset,Clk,x_reg_en,x_reg_in,x_reg_out);
Y_reg: Register5 port map(Reset,Clk,y_reg_en,y_reg_in,y_reg_out);
end Behavioral;
|
-- $Id: tb_sramif2migui_core.vhd 1181 2019-07-08 17:00:50Z mueller $
-- SPDX-License-Identifier: GPL-3.0-or-later
-- Copyright 2018- by Walter F.J. Mueller <W.F.J.Mueller@gsi.de>
--
------------------------------------------------------------------------------
-- Module Name: tb_sramif2migui_core - sim
-- Description: Test bench for sramif2migui_core and migui_core_gsim
--
-- Dependencies: vlib/simlib/simclk
-- vlib/simlib/simclkcnt
-- migui_core_gsim
-- sramif2migui_core
-- migui_core_gsim
-- migui2bram
--
-- To test: sramif2migui_core
--
-- Target Devices: generic
-- Tool versions: viv 2017.2; ghdl 0.34
-- Revision History:
-- Date Rev Version Comment
-- 2018-12-25 1093 1.0 Initial version
-- 2018-11-10 1067 0.1 First draft (derived fr tb_nx_cram_memctl.vhd)
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use ieee.std_logic_textio.all;
use std.textio.all;
use work.slvtypes.all;
use work.simlib.all;
use work.miglib.all;
use work.sys_conf.all;
entity tb_sramif2migui_core is
end tb_sramif2migui_core;
architecture sim of tb_sramif2migui_core is
constant clkmui_mul : positive := 6;
constant clkmui_div : positive := 12;
constant c_caco_wait : positive := 50; -- UI_CLK cycles till CALIB_COMP = 1
constant mwidth : positive := 2**sys_conf_bawidth; -- mask width (8 or 16)
constant dwidth : positive := 8*mwidth; -- data width (64 or 128)
signal CLK : slbit := '0';
signal RESET : slbit := '0';
signal REQ : slbit := '0';
signal WE : slbit := '0';
signal BUSY : slbit := '0';
signal ACK_R : slbit := '0';
signal ACK_W : slbit := '0';
signal ACT_R : slbit := '0';
signal ACT_W : slbit := '0';
signal ADDR : slv20 := (others=>'0');
signal BE : slv4 := (others=>'0');
signal DI : slv32 := (others=>'0');
signal DO : slv32 := (others=>'0');
signal MONI : sramif2migui_moni_type := sramif2migui_moni_init;
signal SYS_CLK : slbit := '0';
signal SYS_RST : slbit := '0';
signal UI_CLK : slbit := '0';
signal UI_CLK_SYNC_RST : slbit := '0';
signal INIT_CALIB_COMPLETE : slbit := '0';
signal APP_RDY : slbit := '0';
signal APP_EN : slbit := '0';
signal APP_CMD : slv3:= (others=>'0');
signal APP_ADDR : slv(sys_conf_mawidth-1 downto 0):= (others=>'0');
signal APP_WDF_RDY : slbit := '0';
signal APP_WDF_WREN : slbit := '0';
signal APP_WDF_DATA : slv(dwidth-1 downto 0):= (others=>'0');
signal APP_WDF_MASK : slv(mwidth-1 downto 0):= (others=>'0');
signal APP_WDF_END : slbit := '0';
signal APP_RD_DATA_VALID : slbit := '0';
signal APP_RD_DATA : slv(dwidth-1 downto 0):= (others=>'0');
signal APP_RD_DATA_END : slbit := '0';
signal R_MEMON : slbit := '0';
signal N_CHK_DATA : slbit := '0';
signal N_REF_DATA : slv32 := (others=>'0');
signal N_REF_ADDR : slv20 := (others=>'0');
signal R_CHK_DATA_AL : slbit := '0';
signal R_REF_DATA_AL : slv32 := (others=>'0');
signal R_REF_ADDR_AL : slv20 := (others=>'0');
signal R_CHK_DATA_DL : slbit := '0';
signal R_REF_DATA_DL : slv32 := (others=>'0');
signal R_REF_ADDR_DL : slv20 := (others=>'0');
signal R_NRDRHIT : integer := 0;
signal R_NWRRHIT : integer := 0;
signal R_NWRFLUSH : integer := 0;
signal R_NMIGCBUSY : integer := 0;
signal R_NMIGWBUSY : integer := 0;
signal R_NMIGCACOW : integer := 0;
signal CLK_STOP : slbit := '0';
signal CLK_CYCLE : integer := 0;
signal UI_CLK_CYCLE : integer := 0;
constant clock_period : Delay_length := 12.5 ns;
constant clock_offset : Delay_length := 200 ns;
constant setup_time : Delay_length := 3 ns;
constant c2out_time : Delay_length := 5 ns;
constant sysclock_period : Delay_length := 5.833 ns;
constant sysclock_offset : Delay_length := 200 ns;
begin
USRCLKGEN : simclk
generic map (
PERIOD => clock_period,
OFFSET => clock_offset)
port map (
CLK => CLK,
CLK_STOP => CLK_STOP
);
SYSCLKGEN : simclk
generic map (
PERIOD => sysclock_period,
OFFSET => sysclock_offset)
port map (
CLK => SYS_CLK,
CLK_STOP => CLK_STOP
);
CLKCNT : simclkcnt port map (CLK => CLK, CLK_CYCLE => CLK_CYCLE);
UICLKCNT : simclkcnt port map (CLK => UI_CLK, CLK_CYCLE => UI_CLK_CYCLE);
SR2MU : sramif2migui_core
generic map (
BAWIDTH => sys_conf_bawidth,
MAWIDTH => sys_conf_mawidth)
port map (
CLK => CLK,
RESET => RESET,
REQ => REQ,
WE => WE,
BUSY => BUSY,
ACK_R => ACK_R,
ACK_W => ACK_W,
ACT_R => ACT_R,
ACT_W => ACT_W,
ADDR => ADDR,
BE => BE,
DI => DI,
DO => DO,
MONI => MONI,
UI_CLK => UI_CLK,
UI_CLK_SYNC_RST => UI_CLK_SYNC_RST,
INIT_CALIB_COMPLETE => INIT_CALIB_COMPLETE,
APP_RDY => APP_RDY,
APP_EN => APP_EN,
APP_CMD => APP_CMD,
APP_ADDR => APP_ADDR,
APP_WDF_RDY => APP_WDF_RDY,
APP_WDF_WREN => APP_WDF_WREN,
APP_WDF_DATA => APP_WDF_DATA,
APP_WDF_MASK => APP_WDF_MASK,
APP_WDF_END => APP_WDF_END,
APP_RD_DATA_VALID => APP_RD_DATA_VALID,
APP_RD_DATA => APP_RD_DATA,
APP_RD_DATA_END => APP_RD_DATA_END
);
BTYP_MSIM : if sys_conf_btyp = c_btyp_msim generate
I0 : migui_core_gsim
generic map (
BAWIDTH => sys_conf_bawidth,
MAWIDTH => sys_conf_mawidth,
SAWIDTH => sys_conf_sawidth,
CLKMUI_MUL => clkmui_mul,
CLKMUI_DIV => clkmui_div)
port map (
SYS_CLK => SYS_CLK,
SYS_RST => SYS_RST,
UI_CLK => UI_CLK,
UI_CLK_SYNC_RST => UI_CLK_SYNC_RST,
INIT_CALIB_COMPLETE => INIT_CALIB_COMPLETE,
APP_RDY => APP_RDY,
APP_EN => APP_EN,
APP_CMD => APP_CMD,
APP_ADDR => APP_ADDR,
APP_WDF_RDY => APP_WDF_RDY,
APP_WDF_WREN => APP_WDF_WREN,
APP_WDF_DATA => APP_WDF_DATA,
APP_WDF_MASK => APP_WDF_MASK,
APP_WDF_END => APP_WDF_END,
APP_RD_DATA_VALID => APP_RD_DATA_VALID,
APP_RD_DATA => APP_RD_DATA,
APP_RD_DATA_END => APP_RD_DATA_END,
APP_REF_REQ => '0',
APP_ZQ_REQ => '0',
APP_REF_ACK => open,
APP_ZQ_ACK => open
);
end generate BTYP_MSIM;
BTYP_BRAM : if sys_conf_btyp = c_btyp_bram generate
I0 : migui2bram
generic map (
BAWIDTH => sys_conf_bawidth,
MAWIDTH => sys_conf_mawidth,
RAWIDTH => sys_conf_rawidth,
RDELAY => sys_conf_rdelay,
CLKMUI_MUL => clkmui_mul,
CLKMUI_DIV => clkmui_div,
CLKMSYS_PERIOD => 6.000)
port map (
SYS_CLK => SYS_CLK,
SYS_RST => SYS_RST,
UI_CLK => UI_CLK,
UI_CLK_SYNC_RST => UI_CLK_SYNC_RST,
INIT_CALIB_COMPLETE => INIT_CALIB_COMPLETE,
APP_RDY => APP_RDY,
APP_EN => APP_EN,
APP_CMD => APP_CMD,
APP_ADDR => APP_ADDR,
APP_WDF_RDY => APP_WDF_RDY,
APP_WDF_WREN => APP_WDF_WREN,
APP_WDF_DATA => APP_WDF_DATA,
APP_WDF_MASK => APP_WDF_MASK,
APP_WDF_END => APP_WDF_END,
APP_RD_DATA_VALID => APP_RD_DATA_VALID,
APP_RD_DATA => APP_RD_DATA,
APP_RD_DATA_END => APP_RD_DATA_END
);
end generate BTYP_BRAM;
proc_stim: process
file fstim : text open read_mode is "tb_sramif2migui_core_stim";
variable iline : line;
variable oline : line;
variable ok : boolean;
variable dname : string(1 to 6) := (others=>' ');
variable idelta : integer := 0;
variable iaddr : slv20 := (others=>'0');
variable idata : slv32 := (others=>'0');
variable ibe : slv4 := (others=>'0');
variable ival : slbit := '0';
variable nbusy : integer := 0;
variable nwreq : natural := 0;
variable nrdrhit : integer := 0;
variable nwrrhit : integer := 0;
variable nwrflush : integer := 0;
variable nmigcbusy : integer := 0;
variable nmigwbusy : integer := 0;
variable nmigcacow : integer := 0;
begin
wait for clock_offset - setup_time;
file_loop: while not endfile(fstim) loop
readline (fstim, iline);
readcomment(iline, ok);
next file_loop when ok;
readword(iline, dname, ok);
if ok then
case dname is
when ".memon" => -- .memon
read_ea(iline, ival);
R_MEMON <= ival;
wait for 2*clock_period;
when ".reset" => -- .reset
write(oline, string'(".reset"));
writeline(output, oline);
RESET <= '1';
wait for clock_period;
RESET <= '0';
wait for 9*clock_period;
when ".wreq " => -- .wreq
read_ea(iline, nwreq);
when ".wait " => -- .wait
read_ea(iline, idelta);
wait for idelta*clock_period;
when "read " => -- read
readgen_ea(iline, iaddr, 16);
readgen_ea(iline, idata, 16);
ADDR <= iaddr;
REQ <= '1';
WE <= '0';
writetimestamp(oline, CLK_CYCLE, ": stim read ");
writegen(oline, iaddr, right, 6, 16);
write(oline, string'(" "));
writegen(oline, idata, right, 9, 16);
nbusy := 0;
while BUSY = '1' loop
nbusy := nbusy + 1;
wait for clock_period;
end loop;
write(oline, string'(" nb="));
write(oline, nbusy, right, 2);
write(oline, string'(" mo="));
write(oline, R_NRDRHIT-nrdrhit, right, 2);
write(oline, R_NWRRHIT-nwrrhit, right, 2);
write(oline, R_NWRFLUSH-nwrflush, right, 2);
write(oline, R_NMIGCBUSY-nmigcbusy, right, 2);
write(oline, R_NMIGWBUSY-nmigwbusy, right, 2);
write(oline, string'(" "));
write(oline, R_NMIGCACOW-nmigcacow, right, 1);
writeline(output, oline);
nrdrhit := R_NRDRHIT;
nwrrhit := R_NWRRHIT;
nwrflush := R_NWRFLUSH;
nmigcbusy := R_NMIGCBUSY;
nmigwbusy := R_NMIGWBUSY;
nmigcacow := R_NMIGCACOW;
N_CHK_DATA <= '1', '0' after clock_period;
N_REF_DATA <= idata;
N_REF_ADDR <= iaddr;
wait for clock_period;
REQ <= '0';
if nwreq > 0 then wait for nwreq*clock_period; end if;
when "write " => -- write
readgen_ea(iline, iaddr, 16);
read_ea(iline, ibe);
readgen_ea(iline, idata, 16);
ADDR <= iaddr;
BE <= ibe;
DI <= idata;
REQ <= '1';
WE <= '1';
writetimestamp(oline, CLK_CYCLE, ": stim write");
writegen(oline, iaddr, right, 6, 16);
writegen(oline, ibe , right, 5, 2);
writegen(oline, idata, right, 9, 16);
nbusy := 0;
while BUSY = '1' loop
nbusy := nbusy + 1;
wait for clock_period;
end loop;
write(oline, string'(" nb="));
write(oline, nbusy, right, 2);
write(oline, string'(" mo="));
write(oline, R_NRDRHIT-nrdrhit, right, 2);
write(oline, R_NWRRHIT-nwrrhit, right, 2);
write(oline, R_NWRFLUSH-nwrflush, right, 2);
write(oline, R_NMIGCBUSY-nmigcbusy, right, 2);
write(oline, R_NMIGWBUSY-nmigwbusy, right, 2);
write(oline, string'(" "));
write(oline, R_NMIGCACOW-nmigcacow, right, 1);
writeline(output, oline);
nrdrhit := R_NRDRHIT;
nwrrhit := R_NWRRHIT;
nwrflush := R_NWRFLUSH;
nmigcbusy := R_NMIGCBUSY;
nmigwbusy := R_NMIGWBUSY;
nmigcacow := R_NMIGCACOW;
wait for clock_period;
REQ <= '0';
if nwreq > 0 then wait for nwreq*clock_period; end if;
when others => -- bad directive
write(oline, string'("?? unknown directive: "));
write(oline, dname);
writeline(output, oline);
report "aborting" severity failure;
end case;
else
report "failed to find command" severity failure;
end if;
testempty_ea(iline);
end loop; -- file fstim
wait for 10*clock_period;
writetimestamp(oline, CLK_CYCLE, ": stat moni-cnt= ");
write(oline, R_NRDRHIT, right, 5);
write(oline, string'(","));
write(oline, R_NWRRHIT, right, 5);
write(oline, string'(","));
write(oline, R_NWRFLUSH, right, 5);
write(oline, string'(","));
write(oline, R_NMIGCBUSY, right, 5);
write(oline, string'(","));
write(oline, R_NMIGWBUSY, right, 5);
write(oline, string'(","));
write(oline, R_NMIGCACOW, right, 5);
writeline(output, oline);
writetimestamp(oline, CLK_CYCLE, ": DONE ");
writeline(output, oline);
CLK_STOP <= '1';
wait; -- suspend proc_stim forever
-- clock is stopped, sim will end
end process proc_stim;
proc_moni: process
variable oline : line;
begin
loop
wait until rising_edge(CLK);
-- performance counter
if MONI.rdrhit = '1' then
R_NRDRHIT <= R_NRDRHIT + 1;
end if;
if MONI.wrrhit = '1' then
R_NWRRHIT <= R_NWRRHIT + 1;
end if;
if MONI.wrflush = '1' then
R_NWRFLUSH <= R_NWRFLUSH + 1;
end if;
if MONI.migcbusy = '1' then
R_NMIGCBUSY <= R_NMIGCBUSY + 1;
end if;
if MONI.migwbusy = '1' then
R_NMIGWBUSY <= R_NMIGWBUSY + 1;
end if;
if MONI.migcacow = '1' then
R_NMIGCACOW <= R_NMIGCACOW + 1;
end if;
if ACK_R = '1' then
writetimestamp(oline, CLK_CYCLE, ": moni ");
writegen(oline, DO, right, 9, 16);
if R_CHK_DATA_DL = '1' then
write(oline, string'(" CHECK"));
if R_REF_DATA_DL = DO then
write(oline, string'(" OK"));
else
write(oline, string'(" FAIL, exp="));
writegen(oline, R_REF_DATA_DL, right, 9, 16);
write(oline, string'(" for a="));
writegen(oline, R_REF_ADDR_DL, right, 5, 16);
end if;
R_CHK_DATA_DL <= '0';
end if;
writeline(output, oline);
end if;
if R_CHK_DATA_AL = '1' then
R_CHK_DATA_DL <= R_CHK_DATA_AL;
R_REF_DATA_DL <= R_REF_DATA_AL;
R_REF_ADDR_DL <= R_REF_ADDR_AL;
R_CHK_DATA_AL <= '0';
end if;
if N_CHK_DATA = '1' then
R_CHK_DATA_AL <= N_CHK_DATA;
R_REF_DATA_AL <= N_REF_DATA;
R_REF_ADDR_AL <= N_REF_ADDR;
end if;
end loop;
end process proc_moni;
proc_memon: process
variable oline : line;
begin
loop
wait until rising_edge(UI_CLK);
if R_MEMON = '1' then
if APP_EN = '1' then
writetimestamp(oline, UI_CLK_CYCLE, ": mreq ");
write(oline, APP_CMD, right, 3);
write(oline, string'(","));
write(oline, APP_RDY, right);
write(oline, string'(","));
write(oline, APP_WDF_RDY, right);
writegen(oline,
APP_ADDR(sys_conf_sawidth-sys_conf_bawidth-1 downto 0),
right, 7, 16);
write(oline, APP_WDF_WREN, right, 2);
write(oline, APP_WDF_END, right, 2);
if APP_WDF_WREN = '1' then
writegen(oline, APP_WDF_MASK, right, (mwidth/4)+1, 16);
writegen(oline, APP_WDF_DATA, right, (dwidth/4)+1, 16);
end if;
writeline(output, oline);
end if;
if APP_RD_DATA_VALID = '1' then
writetimestamp(oline, UI_CLK_CYCLE, ": mres ");
write(oline, APP_RD_DATA_END, right);
writegen(oline, APP_RD_DATA, right, (dwidth/4)+1, 16);
writeline(output, oline);
end if;
end if;
end loop;
end process proc_memon;
end sim;
|
library verilog;
use verilog.vl_types.all;
entity execute_shift is
generic(
P_N : integer := 32
);
port(
iCONTROL_MODE : in vl_logic_vector(2 downto 0);
iDATA_0 : in vl_logic_vector;
iDATA_1 : in vl_logic_vector;
oDATA : out vl_logic_vector;
oSF : out vl_logic;
oOF : out vl_logic;
oCF : out vl_logic;
oPF : out vl_logic;
oZF : out vl_logic
);
attribute mti_svvh_generic_type : integer;
attribute mti_svvh_generic_type of P_N : constant is 1;
end execute_shift;
|
----------------------------------------------------------------------------------
-- Company: ITESM
-- Engineer: RickWare
--
-- Create Date: 07:22:58 10/06/2010
-- Design Name: Reloj Jerarquico
-- Module Name: Top - Behavioral
-- Project Name: Reloj_Jerarquico
-- Target Devices: Nexys 2
-- Tool versions: ISE 11.4
-- Description: Reloj que despliega HH:MM:SS
-- HH y MM seran desplegados en displays de 7 segmentos
-- SS seran desplegados en los LEDs
-- Dependencies:
--
-- Revision: v1.0
-- Revision 0.01 - File Created
-- Additional Comments: Ver diagrama anexo (entregado en clase)
--
----------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
entity Top is
Port ( DecEnt : in STD_LOGIC_VECTOR (3 downto 0);
UniEnt : in STD_LOGIC_VECTOR (3 downto 0);
HorEn : in STD_LOGIC;
MinEn : in STD_LOGIC;
Rst : in STD_LOGIC;
Clk100MHz : in STD_LOGIC;
Seg : out STD_LOGIC_VECTOR (7 downto 0);
SegOut : out STD_LOGIC_VECTOR (7 downto 0);
--clock out
AlarmOut : out STD_LOGIC;
--clock in
HorAlEn : in STD_LOGIC;
MinAlEn : in STD_LOGIC;
Disp : out STD_LOGIC_VECTOR (3 downto 0));
end Top;
architecture Behavioral of Top is
--Declaracion de todos los componentes usados en el diseño
--Componente U1: Genera una señal de 1Hz a partir del reloj de entrada de 50MHz
component Clk1Hz
port (
Rst : in STD_LOGIC;
Clk : in STD_LOGIC;
ClkOut : out STD_LOGIC);
end component;
--Componentes U2 y U4: Contadores de 0 a 9 (BCD) usados para las Unidades de Segundo
-- y las Unidades de Minuto respectivamente
component Cont0a9
port (
Load : in STD_LOGIC;
Enable : in STD_LOGIC;
Rst : in STD_LOGIC;
Clk : in STD_LOGIC;
Valor : in STD_LOGIC_VECTOR (3 downto 0);
TCO : out STD_LOGIC;
Cuenta : out STD_LOGIC_VECTOR (3 downto 0));
end component;
--Componentes U3 y U5: Contadores de 0 a 5 (BCD) usados para las Decenas de Segundo
-- y las Decenas de Minuto respectivamente
component Cont0a5
port (
Load : in STD_LOGIC;
Enable : in STD_LOGIC;
Rst : in STD_LOGIC;
Clk : in STD_LOGIC;
Valor : in STD_LOGIC_VECTOR (3 downto 0);
TCO : out STD_LOGIC;
Cuenta : out STD_LOGIC_VECTOR (3 downto 0));
end component;
--Componentes U6: Contadore de 0 a 23 (BCD) usado para las Horas en formado militar (23 horas)
component Cont0a23
port (
Load : in STD_LOGIC;
Enable : in STD_LOGIC;
Rst : in STD_LOGIC;
Clk : in STD_LOGIC;
ValorDec : in STD_LOGIC_VECTOR (3 downto 0);
ValorUni : in STD_LOGIC_VECTOR (3 downto 0);
Cuenta : out STD_LOGIC_VECTOR (7 downto 0));
end component;
--Componente U7: Genera una señal de Refresh para los displays de 7 segmentos multiplexados
-- a partir del reloj de entrada de 50MHz
component RefreshDisplay
port (
Rst : in STD_LOGIC;
Clk : in STD_LOGIC;
ClkOut : out STD_LOGIC);
end component;
--Componente U8: Contador de 0 a 3 (binario) cuya cuenta determina que valor del tiempo
-- se va a desplegar. Tambien selecciona en que display sera desplegado.
component Cont0a3
port (
Enable : in STD_LOGIC;
Rst : in STD_LOGIC;
Clk : in STD_LOGIC;
Cuenta : out STD_LOGIC_VECTOR (1 downto 0));
end component;
--Componente U9: Multiplexor de buses de 4-bits de 4 a 1. Su funcion es seleccionar entre
-- uno de los digitos que forman la hora HH:MM y mandarlo al decodificador
-- de BCD a 7 Segmentos
component Mux4to1
port (
DecHor : in STD_LOGIC_VECTOR (3 downto 0);
UniHor : in STD_LOGIC_VECTOR (3 downto 0);
DecMin : in STD_LOGIC_VECTOR (3 downto 0);
UniMin : in STD_LOGIC_VECTOR (3 downto 0);
Sel : in STD_LOGIC_VECTOR (1 downto 0);
Tiempo : out STD_LOGIC_VECTOR (3 downto 0));
end component;
--Componente U10: Selecciona el Display a encender, mandando un 0 logico a su Anodo
component SelAnodo
port (
Sel : in STD_LOGIC_VECTOR (1 downto 0);
Anodo : out STD_LOGIC_VECTOR (3 downto 0));
end component;
--Componente U11: Decodificador de BCD a 7 Segmentos
component DecBCD7Seg
port (
BCD : in STD_LOGIC_VECTOR (3 downto 0);
Seg : out STD_LOGIC_VECTOR (7 downto 0));
end component;
--Componente U12: Alarm cheker that store the values and check flag alarm
component AlarmMod
port (
DecHor : in STD_LOGIC_VECTOR (3 downto 0);
UniHor : in STD_LOGIC_VECTOR (3 downto 0);
DecMin : in STD_LOGIC_VECTOR (3 downto 0);
UniMin : in STD_LOGIC_VECTOR (3 downto 0);
DecEnt : in STD_LOGIC_VECTOR (3 downto 0);--switches
UniEnt : in STD_LOGIC_VECTOR (3 downto 0);--switches
LoadHor: in STD_LOGIC;
LoadMin: in STD_LOGIC;
Rst : in STD_LOGIC;
Clk : in STD_LOGIC;
RingFlag: out STD_LOGIC);
end component;
--Declaracion de todas las señales embebidas (verde y azul en su esquematico), sufijo "_int"
--Señales embebidas de 1-bit
signal EnHoras_int : STD_LOGIC;
signal EnDecMin_int : STD_LOGIC;
signal EnUniMin_int : STD_LOGIC;
signal EnSeg_int : STD_LOGIC;
signal EnDecSeg_int : STD_LOGIC;
signal Clk1Hz_int : STD_LOGIC;
signal TCODecMin_int : STD_LOGIC;
signal TCOUniMin_int : STD_LOGIC;
signal TCODecSeg_int : STD_LOGIC;
signal TCOUniSeg_int : STD_LOGIC;
signal ClkRefresh_int : STD_LOGIC;
--Señales embebidas de mas de 1-bit
signal Hor_int : STD_LOGIC_VECTOR (7 downto 0);
signal DecMin_int : STD_LOGIC_VECTOR (3 downto 0);
signal UniMin_int : STD_LOGIC_VECTOR (3 downto 0);
signal Tiempo_int : STD_LOGIC_VECTOR (3 downto 0);
signal Sel_int : STD_LOGIC_VECTOR (1 downto 0);
begin
--Instanciar los componentes (alambrar los componentes)
--Se usara el metodo corto in Instantiation
U1 : Clk1Hz
port map (
Rst,
Clk100MHz,
Clk1HZ_int);
U2 : Cont0a9
port map (
EnSeg_int,
Clk1Hz_int,
Rst,
Clk100MHz,
"0000",
TCOUniSeg_int,
SegOut(3 downto 0));
U3 : Cont0a5
port map (
EnSeg_int,
EnDecSeg_int,
Rst,
Clk100MHz,
"0000",
TCODecSeg_int,
SegOut(7 downto 4));
U4 : Cont0a9
port map (
MinEn,
EnUniMin_int,
Rst,
Clk100MHz,
UniEnt,
TCOUniMin_int,
UniMin_int);
U5 : Cont0a5
port map (
MinEn,
EnDecMin_int,
Rst,
Clk100MHz,
DecEnt,
TCODecMin_int,
DecMin_int);
U6 : Cont0a23
port map (
HorEn,
EnHoras_int,
Rst,
Clk100MHz,
DecEnt,
UniEnt,
Hor_int);
U7 : RefreshDisplay
port map (
Rst,
Clk100MHz,
ClkRefresh_int);
U8 : Cont0a3
port map (
ClkRefresh_int,
Rst,
Clk100MHz,
Sel_int);
U9 : Mux4to1
port map (
Hor_int (7 downto 4),
Hor_int (3 downto 0),
DecMin_int,
UniMin_int,
Sel_int,
Tiempo_int);
U10 : SelAnodo
port map (
Sel_int,
Disp);
U11 : DecBCD7Seg
port map (
Tiempo_int,
Seg);
U12 : AlarmMod
port map (
Hor_int (7 downto 4),
Hor_int (3 downto 0),
DecMin_int,
UniMin_int,
DecEnt,
UniEnt,
HorAlEn,
MinAlEn,
Rst,
Clk100MHz,
AlarmOut);
--Instanciar las compuertas
EnHoras_int <= EnDecMin_int and TCODecMin_int and Clk1Hz_int;
EnDecMin_int <= EnUniMin_int and TCOUniMin_int and Clk1Hz_int;
EnUniMin_int <= TCOUniSeg_int and TCODecSeg_int and Clk1Hz_int;
EnSeg_int <= HorEn or MinEn;
EnDecSeg_int <= TCOUniSeg_int and Clk1Hz_int;
end Behavioral;
|
--This VHD is credit to Group 1 & Group 2 for their design work
--=============================
--Author: Brett Bourgeois
--Date: 4/01/15
--Desc: Fetch
--=============================
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.std_logic_arith.all;
USE work.UMDRISC_pkg.ALL;
use work.all;
entity fetch_struct is
Port (
----Inputs----
clk : in STD_LOGIC;
rst : in STD_LOGIC;
PC_En : in STD_LOGIC;
----Output----
pc_out : out std_logic_vector (4 downto 0);
ADRS_IMM : out std_logic_vector (3 downto 0);
ADRS_A : out std_logic_vector (3 downto 0);
ADRS_B : out std_logic_vector (3 downto 0);
Instruction_out : out std_logic_vector (15 downto 0);
OPcode_out : out std_logic_vector (3 downto 0)
);
end fetch_struct;
architecture structural of fetch_struct is
--================
--Signals--
--================
signal Instruction: std_logic_vector (15 downto 0) := (others => '0');
signal Instruction_mem: std_logic_vector (15 downto 0) := (others => '0');
signal PC_Current: std_logic_vector (4 downto 0) := (others => '0');
signal PC_New: std_logic_vector (4 downto 0) := (others => '0');
signal Opcode_sig: std_logic_vector (3 downto 0) := (others => '0');
-----------
begin
pc_out <= PC_Current;
Instruction_out <= Instruction;
Opcode_out <= Opcode_sig;
--assignment statements
--Instantiate components
--instantiated_name: entity work.<entity_name_being_instantiated>
--==================
-- Counter -> Program Counter
--==================
--!!!!!!!!!!!!!!!!!!!!!!!!
--Make an incrementing program counter!!!
--!!!!!!!!!!!!!!!!!!!!!!!!
PC: entity work.pcounter
generic map( regSize => BITREG_5)
port map(
--Standard Input
CLK => CLK,
RST => RST,
--Data in
PC_En => PC_En,
--Data out
PROGRAM_COUNTER => PC_Current);
--==================
-- Block RAM/ROM -> Insruction Memory
--==================
InMem: entity work.Instruct_Memory
port map
(
clkb => CLK,
addrb => PC_Current,
doutb => Instruction_mem,
clka => CLK,
addra => (others => '0'),
dina => (others => '0'),
wea(0) => '0'
);
--==================
-- Shift Register -> Hold instruction
--==================
InReg: entity work.Reg
generic map( regSize => BITREG_16)
port map(
--Standard Input
CLK => CLK,
RST => RST,
DataIn => Instruction_mem(15 downto 0),
--Split up the instruction into it's associated parts
--i.e RA, RB, IMM, OPCode
Full_Instr => Instruction,
DataOut(15 downto 12) => Opcode_sig,
DataOut(11 downto 8)=> ADRS_A,
DataOut(7 downto 4) => ADRS_B,
DataOut(3 downto 0) => ADRS_IMM);
end structural; |
-- smlttion for HDB1 encoder.
entity smlt_hdb1_enc is
end smlt_hdb1_enc;
architecture behaviour of smlt_hdb1_enc is
--data type:
component hdb1_enc
port (
clr_bar,
clk : in bit;
e : in bit;
s0, s1: out bit);
end component;
--binding:
for a: hdb1_enc use entity work.hdb1_enc;
--declaring the signals present in this architecture:
signal CLK, E, S0, S1, clrb: bit;
signal inpute: bit_vector(0 to 24);
begin --architecture.
a: hdb1_enc port map
( clr_bar => clrb, clk => CLK, e => E, s0 => S0,
s1 => S1 );
inpute <= "0101011000101100101000011";
process begin
clrb <= '1';
for i in 0 to 24 loop
E <= inpute(i);
CLK <= '0';
wait for 9 ns;
CLK <= '1';
wait for 1 ns;
end loop;
wait;
end process;
end behaviour;
|
component wasca is
port (
abus_avalon_sdram_bridge_0_abus_address : in std_logic_vector(9 downto 0) := (others => 'X'); -- address
abus_avalon_sdram_bridge_0_abus_read : in std_logic := 'X'; -- read
abus_avalon_sdram_bridge_0_abus_waitrequest : out std_logic; -- waitrequest
abus_avalon_sdram_bridge_0_abus_addressdata : inout std_logic_vector(15 downto 0) := (others => 'X'); -- addressdata
abus_avalon_sdram_bridge_0_abus_chipselect : in std_logic_vector(2 downto 0) := (others => 'X'); -- chipselect
abus_avalon_sdram_bridge_0_abus_direction : out std_logic; -- direction
abus_avalon_sdram_bridge_0_abus_disable_out : out std_logic; -- disable_out
abus_avalon_sdram_bridge_0_abus_interrupt : out std_logic; -- interrupt
abus_avalon_sdram_bridge_0_abus_muxing : out std_logic_vector(1 downto 0); -- muxing
abus_avalon_sdram_bridge_0_abus_writebyteenable_n : in std_logic_vector(1 downto 0) := (others => 'X'); -- writebyteenable_n
abus_avalon_sdram_bridge_0_abus_reset : in std_logic := 'X'; -- reset
abus_avalon_sdram_bridge_0_sdram_addr : out std_logic_vector(12 downto 0); -- addr
abus_avalon_sdram_bridge_0_sdram_ba : out std_logic_vector(1 downto 0); -- ba
abus_avalon_sdram_bridge_0_sdram_cas_n : out std_logic; -- cas_n
abus_avalon_sdram_bridge_0_sdram_cke : out std_logic; -- cke
abus_avalon_sdram_bridge_0_sdram_cs_n : out std_logic; -- cs_n
abus_avalon_sdram_bridge_0_sdram_dq : inout std_logic_vector(15 downto 0) := (others => 'X'); -- dq
abus_avalon_sdram_bridge_0_sdram_dqm : out std_logic_vector(1 downto 0); -- dqm
abus_avalon_sdram_bridge_0_sdram_ras_n : out std_logic; -- ras_n
abus_avalon_sdram_bridge_0_sdram_we_n : out std_logic; -- we_n
abus_avalon_sdram_bridge_0_sdram_clk : out std_logic; -- clk
altpll_1_areset_conduit_export : in std_logic := 'X'; -- export
altpll_1_locked_conduit_export : out std_logic; -- export
altpll_1_phasedone_conduit_export : out std_logic; -- export
buffered_spi_mosi : out std_logic; -- mosi
buffered_spi_clk : out std_logic; -- clk
buffered_spi_miso : in std_logic := 'X'; -- miso
buffered_spi_cs : out std_logic; -- cs
clk_clk : in std_logic := 'X'; -- clk
clock_116_mhz_clk : out std_logic; -- clk
extra_leds_conn_export : out std_logic_vector(4 downto 0); -- export
hex0_conn_export : out std_logic_vector(6 downto 0); -- export
hex1_conn_export : out std_logic_vector(6 downto 0); -- export
hex2_conn_export : out std_logic_vector(6 downto 0); -- export
hex3_conn_export : out std_logic_vector(6 downto 0); -- export
hex4_conn_export : out std_logic_vector(6 downto 0); -- export
hex5_conn_export : out std_logic_vector(6 downto 0); -- export
hexdot_conn_export : out std_logic_vector(5 downto 0); -- export
leds_conn_export : out std_logic_vector(3 downto 0); -- export
reset_reset_n : in std_logic := 'X'; -- reset_n
reset_controller_0_reset_in1_reset : in std_logic := 'X'; -- reset
spi_sync_conn_export : in std_logic := 'X'; -- export
switches_conn_export : in std_logic_vector(7 downto 0) := (others => 'X'); -- export
uart_0_external_connection_rxd : in std_logic := 'X'; -- rxd
uart_0_external_connection_txd : out std_logic -- txd
);
end component wasca;
u0 : component wasca
port map (
abus_avalon_sdram_bridge_0_abus_address => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_address, -- abus_avalon_sdram_bridge_0_abus.address
abus_avalon_sdram_bridge_0_abus_read => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_read, -- .read
abus_avalon_sdram_bridge_0_abus_waitrequest => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_waitrequest, -- .waitrequest
abus_avalon_sdram_bridge_0_abus_addressdata => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_addressdata, -- .addressdata
abus_avalon_sdram_bridge_0_abus_chipselect => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_chipselect, -- .chipselect
abus_avalon_sdram_bridge_0_abus_direction => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_direction, -- .direction
abus_avalon_sdram_bridge_0_abus_disable_out => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_disable_out, -- .disable_out
abus_avalon_sdram_bridge_0_abus_interrupt => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_interrupt, -- .interrupt
abus_avalon_sdram_bridge_0_abus_muxing => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_muxing, -- .muxing
abus_avalon_sdram_bridge_0_abus_writebyteenable_n => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_writebyteenable_n, -- .writebyteenable_n
abus_avalon_sdram_bridge_0_abus_reset => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_reset, -- .reset
abus_avalon_sdram_bridge_0_sdram_addr => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_addr, -- abus_avalon_sdram_bridge_0_sdram.addr
abus_avalon_sdram_bridge_0_sdram_ba => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_ba, -- .ba
abus_avalon_sdram_bridge_0_sdram_cas_n => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_cas_n, -- .cas_n
abus_avalon_sdram_bridge_0_sdram_cke => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_cke, -- .cke
abus_avalon_sdram_bridge_0_sdram_cs_n => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_cs_n, -- .cs_n
abus_avalon_sdram_bridge_0_sdram_dq => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_dq, -- .dq
abus_avalon_sdram_bridge_0_sdram_dqm => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_dqm, -- .dqm
abus_avalon_sdram_bridge_0_sdram_ras_n => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_ras_n, -- .ras_n
abus_avalon_sdram_bridge_0_sdram_we_n => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_we_n, -- .we_n
abus_avalon_sdram_bridge_0_sdram_clk => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_clk, -- .clk
altpll_1_areset_conduit_export => CONNECTED_TO_altpll_1_areset_conduit_export, -- altpll_1_areset_conduit.export
altpll_1_locked_conduit_export => CONNECTED_TO_altpll_1_locked_conduit_export, -- altpll_1_locked_conduit.export
altpll_1_phasedone_conduit_export => CONNECTED_TO_altpll_1_phasedone_conduit_export, -- altpll_1_phasedone_conduit.export
buffered_spi_mosi => CONNECTED_TO_buffered_spi_mosi, -- buffered_spi.mosi
buffered_spi_clk => CONNECTED_TO_buffered_spi_clk, -- .clk
buffered_spi_miso => CONNECTED_TO_buffered_spi_miso, -- .miso
buffered_spi_cs => CONNECTED_TO_buffered_spi_cs, -- .cs
clk_clk => CONNECTED_TO_clk_clk, -- clk.clk
clock_116_mhz_clk => CONNECTED_TO_clock_116_mhz_clk, -- clock_116_mhz.clk
extra_leds_conn_export => CONNECTED_TO_extra_leds_conn_export, -- extra_leds_conn.export
hex0_conn_export => CONNECTED_TO_hex0_conn_export, -- hex0_conn.export
hex1_conn_export => CONNECTED_TO_hex1_conn_export, -- hex1_conn.export
hex2_conn_export => CONNECTED_TO_hex2_conn_export, -- hex2_conn.export
hex3_conn_export => CONNECTED_TO_hex3_conn_export, -- hex3_conn.export
hex4_conn_export => CONNECTED_TO_hex4_conn_export, -- hex4_conn.export
hex5_conn_export => CONNECTED_TO_hex5_conn_export, -- hex5_conn.export
hexdot_conn_export => CONNECTED_TO_hexdot_conn_export, -- hexdot_conn.export
leds_conn_export => CONNECTED_TO_leds_conn_export, -- leds_conn.export
reset_reset_n => CONNECTED_TO_reset_reset_n, -- reset.reset_n
reset_controller_0_reset_in1_reset => CONNECTED_TO_reset_controller_0_reset_in1_reset, -- reset_controller_0_reset_in1.reset
spi_sync_conn_export => CONNECTED_TO_spi_sync_conn_export, -- spi_sync_conn.export
switches_conn_export => CONNECTED_TO_switches_conn_export, -- switches_conn.export
uart_0_external_connection_rxd => CONNECTED_TO_uart_0_external_connection_rxd, -- uart_0_external_connection.rxd
uart_0_external_connection_txd => CONNECTED_TO_uart_0_external_connection_txd -- .txd
);
|
component wasca is
port (
abus_avalon_sdram_bridge_0_abus_address : in std_logic_vector(9 downto 0) := (others => 'X'); -- address
abus_avalon_sdram_bridge_0_abus_read : in std_logic := 'X'; -- read
abus_avalon_sdram_bridge_0_abus_waitrequest : out std_logic; -- waitrequest
abus_avalon_sdram_bridge_0_abus_addressdata : inout std_logic_vector(15 downto 0) := (others => 'X'); -- addressdata
abus_avalon_sdram_bridge_0_abus_chipselect : in std_logic_vector(2 downto 0) := (others => 'X'); -- chipselect
abus_avalon_sdram_bridge_0_abus_direction : out std_logic; -- direction
abus_avalon_sdram_bridge_0_abus_disable_out : out std_logic; -- disable_out
abus_avalon_sdram_bridge_0_abus_interrupt : out std_logic; -- interrupt
abus_avalon_sdram_bridge_0_abus_muxing : out std_logic_vector(1 downto 0); -- muxing
abus_avalon_sdram_bridge_0_abus_writebyteenable_n : in std_logic_vector(1 downto 0) := (others => 'X'); -- writebyteenable_n
abus_avalon_sdram_bridge_0_abus_reset : in std_logic := 'X'; -- reset
abus_avalon_sdram_bridge_0_sdram_addr : out std_logic_vector(12 downto 0); -- addr
abus_avalon_sdram_bridge_0_sdram_ba : out std_logic_vector(1 downto 0); -- ba
abus_avalon_sdram_bridge_0_sdram_cas_n : out std_logic; -- cas_n
abus_avalon_sdram_bridge_0_sdram_cke : out std_logic; -- cke
abus_avalon_sdram_bridge_0_sdram_cs_n : out std_logic; -- cs_n
abus_avalon_sdram_bridge_0_sdram_dq : inout std_logic_vector(15 downto 0) := (others => 'X'); -- dq
abus_avalon_sdram_bridge_0_sdram_dqm : out std_logic_vector(1 downto 0); -- dqm
abus_avalon_sdram_bridge_0_sdram_ras_n : out std_logic; -- ras_n
abus_avalon_sdram_bridge_0_sdram_we_n : out std_logic; -- we_n
abus_avalon_sdram_bridge_0_sdram_clk : out std_logic; -- clk
altpll_1_areset_conduit_export : in std_logic := 'X'; -- export
altpll_1_locked_conduit_export : out std_logic; -- export
altpll_1_phasedone_conduit_export : out std_logic; -- export
buffered_spi_mosi : out std_logic; -- mosi
buffered_spi_clk : out std_logic; -- clk
buffered_spi_miso : in std_logic := 'X'; -- miso
buffered_spi_cs : out std_logic; -- cs
clk_clk : in std_logic := 'X'; -- clk
clock_116_mhz_clk : out std_logic; -- clk
extra_leds_conn_export : out std_logic_vector(4 downto 0); -- export
hex0_conn_export : out std_logic_vector(6 downto 0); -- export
hex1_conn_export : out std_logic_vector(6 downto 0); -- export
hex2_conn_export : out std_logic_vector(6 downto 0); -- export
hex3_conn_export : out std_logic_vector(6 downto 0); -- export
hex4_conn_export : out std_logic_vector(6 downto 0); -- export
hex5_conn_export : out std_logic_vector(6 downto 0); -- export
hexdot_conn_export : out std_logic_vector(5 downto 0); -- export
leds_conn_export : out std_logic_vector(3 downto 0); -- export
reset_reset_n : in std_logic := 'X'; -- reset_n
reset_controller_0_reset_in1_reset : in std_logic := 'X'; -- reset
spi_sync_conn_export : in std_logic := 'X'; -- export
switches_conn_export : in std_logic_vector(7 downto 0) := (others => 'X'); -- export
uart_0_external_connection_rxd : in std_logic := 'X'; -- rxd
uart_0_external_connection_txd : out std_logic -- txd
);
end component wasca;
u0 : component wasca
port map (
abus_avalon_sdram_bridge_0_abus_address => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_address, -- abus_avalon_sdram_bridge_0_abus.address
abus_avalon_sdram_bridge_0_abus_read => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_read, -- .read
abus_avalon_sdram_bridge_0_abus_waitrequest => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_waitrequest, -- .waitrequest
abus_avalon_sdram_bridge_0_abus_addressdata => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_addressdata, -- .addressdata
abus_avalon_sdram_bridge_0_abus_chipselect => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_chipselect, -- .chipselect
abus_avalon_sdram_bridge_0_abus_direction => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_direction, -- .direction
abus_avalon_sdram_bridge_0_abus_disable_out => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_disable_out, -- .disable_out
abus_avalon_sdram_bridge_0_abus_interrupt => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_interrupt, -- .interrupt
abus_avalon_sdram_bridge_0_abus_muxing => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_muxing, -- .muxing
abus_avalon_sdram_bridge_0_abus_writebyteenable_n => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_writebyteenable_n, -- .writebyteenable_n
abus_avalon_sdram_bridge_0_abus_reset => CONNECTED_TO_abus_avalon_sdram_bridge_0_abus_reset, -- .reset
abus_avalon_sdram_bridge_0_sdram_addr => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_addr, -- abus_avalon_sdram_bridge_0_sdram.addr
abus_avalon_sdram_bridge_0_sdram_ba => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_ba, -- .ba
abus_avalon_sdram_bridge_0_sdram_cas_n => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_cas_n, -- .cas_n
abus_avalon_sdram_bridge_0_sdram_cke => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_cke, -- .cke
abus_avalon_sdram_bridge_0_sdram_cs_n => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_cs_n, -- .cs_n
abus_avalon_sdram_bridge_0_sdram_dq => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_dq, -- .dq
abus_avalon_sdram_bridge_0_sdram_dqm => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_dqm, -- .dqm
abus_avalon_sdram_bridge_0_sdram_ras_n => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_ras_n, -- .ras_n
abus_avalon_sdram_bridge_0_sdram_we_n => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_we_n, -- .we_n
abus_avalon_sdram_bridge_0_sdram_clk => CONNECTED_TO_abus_avalon_sdram_bridge_0_sdram_clk, -- .clk
altpll_1_areset_conduit_export => CONNECTED_TO_altpll_1_areset_conduit_export, -- altpll_1_areset_conduit.export
altpll_1_locked_conduit_export => CONNECTED_TO_altpll_1_locked_conduit_export, -- altpll_1_locked_conduit.export
altpll_1_phasedone_conduit_export => CONNECTED_TO_altpll_1_phasedone_conduit_export, -- altpll_1_phasedone_conduit.export
buffered_spi_mosi => CONNECTED_TO_buffered_spi_mosi, -- buffered_spi.mosi
buffered_spi_clk => CONNECTED_TO_buffered_spi_clk, -- .clk
buffered_spi_miso => CONNECTED_TO_buffered_spi_miso, -- .miso
buffered_spi_cs => CONNECTED_TO_buffered_spi_cs, -- .cs
clk_clk => CONNECTED_TO_clk_clk, -- clk.clk
clock_116_mhz_clk => CONNECTED_TO_clock_116_mhz_clk, -- clock_116_mhz.clk
extra_leds_conn_export => CONNECTED_TO_extra_leds_conn_export, -- extra_leds_conn.export
hex0_conn_export => CONNECTED_TO_hex0_conn_export, -- hex0_conn.export
hex1_conn_export => CONNECTED_TO_hex1_conn_export, -- hex1_conn.export
hex2_conn_export => CONNECTED_TO_hex2_conn_export, -- hex2_conn.export
hex3_conn_export => CONNECTED_TO_hex3_conn_export, -- hex3_conn.export
hex4_conn_export => CONNECTED_TO_hex4_conn_export, -- hex4_conn.export
hex5_conn_export => CONNECTED_TO_hex5_conn_export, -- hex5_conn.export
hexdot_conn_export => CONNECTED_TO_hexdot_conn_export, -- hexdot_conn.export
leds_conn_export => CONNECTED_TO_leds_conn_export, -- leds_conn.export
reset_reset_n => CONNECTED_TO_reset_reset_n, -- reset.reset_n
reset_controller_0_reset_in1_reset => CONNECTED_TO_reset_controller_0_reset_in1_reset, -- reset_controller_0_reset_in1.reset
spi_sync_conn_export => CONNECTED_TO_spi_sync_conn_export, -- spi_sync_conn.export
switches_conn_export => CONNECTED_TO_switches_conn_export, -- switches_conn.export
uart_0_external_connection_rxd => CONNECTED_TO_uart_0_external_connection_rxd, -- uart_0_external_connection.rxd
uart_0_external_connection_txd => CONNECTED_TO_uart_0_external_connection_txd -- .txd
);
|
--!
--! @file: pkg_data_types.vhd
--! @brief: data types for use in generic multiplexer 5.20
--! @author: Antonio Gutierrez
--! @date: 2013-10-23
--!
--!
--------------------------------------
package my_data_types is
type oneDoneD is array (natural range<>, natural range <>) of bit;
end package my_data_types;
------------------------------
|
/*
This file is part of fpgaNES.
fpgaNES 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.
fpgaNES 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 fpgaNES. If not, see <http://www.gnu.org/licenses/>.
*/
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
use ieee.numeric_std.all;
use work.common.all;
entity periphery_ctrl is
generic
(
CLK_SPEED : integer := 50_000_000
);
port
(
i_clk : in std_logic;
i_reset_n : in std_logic := '1';
i_int_n : in std_logic := '1';
io_sda : inout std_logic;
io_scl : inout std_logic;
o_status : out std_logic_vector(7 downto 0);
o_ack_error : out std_logic
);
end periphery_ctrl;
architecture behavioral of periphery_ctrl is
component i2c_master is
generic
(
CLK_SPEED : integer := 50_000_000;
WAIT_TIMEOUT : integer := 349999
);
port
(
i_clk : in std_logic;
i_reset_n : in std_logic := '1';
i_enable : in std_logic := '0';
i_active : in std_logic := '0';
i_addr : in std_logic_vector(7 downto 0) := x"00";
i_cmd : in std_logic_vector(7 downto 0) := x"00";
i_data : in std_logic_vector(7 downto 0) := x"00";
i_read_not_write : std_logic := '1';
io_sda : inout std_logic;
io_scl : inout std_logic;
o_q : out std_logic_vector(7 downto 0);
o_busy : out std_logic;
o_ack_error : out std_logic
);
end component;
type state_t is (boot, idle, intr);
constant ADV7513 : std_logic_vector(7 downto 0) := x"72";
constant SSM2603 : std_logic_vector(7 downto 0) := x"34";
signal s_state : state_t:= boot;
signal s_counter : integer range 0 to 50 := 0;
signal s_enable : std_logic;
signal s_update : std_logic := '1';
signal s_active : std_logic;
signal s_busy : std_logic;
signal s_addr : std_logic_vector(7 downto 0);
signal s_cmd : std_logic_vector(7 downto 0);
signal s_data : std_logic_vector(7 downto 0);
signal s_q : std_logic_vector(7 downto 0);
signal s_read_not_write : std_logic;
signal s_hpd_active : boolean := false;
signal s_div : integer range 0 to 999 := 0; -- @todo remove wait timeout
begin
i2c : i2c_master generic map ( CLK_SPEED => CLK_SPEED, WAIT_TIMEOUT => 349999 ) port map
(
i_clk => i_clk,
i_reset_n => i_reset_n,
i_enable => s_enable and s_update,
i_active => s_active,
i_addr => s_addr,
i_cmd => s_cmd,
i_data => s_data,
i_read_not_write => s_read_not_write,
io_sda => io_sda,
io_scl => io_scl,
o_q => s_q,
o_busy => s_busy,
o_ack_error => o_ack_error
);
process (i_clk)
begin
if rising_edge(i_clk) then
if i_reset_n = '0' then
s_div <= 1;
elsif s_div = 999 then
s_div <= 0;
else
s_div <= s_div + 1;
end if;
end if;
end process;
process (i_clk)
begin
if rising_edge(i_clk) then
s_update <= '0';
if i_reset_n = '0' then
s_state <= boot;
s_counter <= 0;
s_update <= '1';
s_hpd_active <= false;
elsif (s_update = '0') and (s_busy = '0') and (s_div = 999) then
case s_state is
when idle =>
if i_int_n = '0' then
s_state <= intr;
s_update <= '1';
s_counter <= 0;
end if;
when boot =>
s_update <= '1';
case s_counter is
when 13 =>
s_state <= intr;
s_counter <= 1;
s_hpd_active <= true;
when others =>
s_counter <= s_counter + 1;
end case;
when intr =>
s_update <= '1';
case s_counter is
when 0 =>
s_counter <= 1;
s_hpd_active <= s_q(7) = '1';
when 6 =>
if s_hpd_active then
s_counter <= 7;
else
s_counter <= 49;
end if;
when 7 =>
if (s_q(5) = '1') or (s_q(6) = '1') then
s_counter <= 8;
else
s_counter <= 49;
end if;
when 50 =>
s_state <= idle;
when others =>
s_counter <= s_counter + 1;
end case;
when others =>
end case;
end if;
end if;
end process;
process (s_state, s_counter, s_q)
procedure write(addr : std_logic_vector(7 downto 0); cmd : std_logic_vector(7 downto 0); data : std_logic_vector(7 downto 0)) is
begin
s_enable <= '1';
s_active <= '1';
s_addr <= addr;
s_cmd <= cmd;
s_data <= data;
s_read_not_write <= '0';
end;
procedure read(addr : std_logic_vector(7 downto 0); cmd : std_logic_vector(7 downto 0)) is
begin
s_enable <= '1';
s_active <= '1';
s_addr <= addr;
s_cmd <= cmd;
s_data <= (others => '-');
s_read_not_write <= '1';
end;
procedure nop is
begin
s_enable <= '0';
s_active <= '-';
s_addr <= (others => '-');
s_cmd <= (others => '-');
s_data <= (others => '-');
s_read_not_write <= '-';
end;
procedure stop is
begin
s_enable <= '1';
s_active <= '0';
s_addr <= (others => '-');
s_cmd <= (others => '-');
s_data <= (others => '-');
s_read_not_write <= '-';
end;
begin
case s_state is
when boot =>
case s_counter is
when 0 => nop;
when 1 => write(SSM2603, x"1E", x"00"); -- Reset
when 2 => write(SSM2603, x"0C", x"10"); -- power on everything except out
when 3 => write(SSM2603, x"00", x"40"); -- left input: Mute
when 4 => write(SSM2603, x"02", x"40"); -- right input: Mute
when 5 => write(SSM2603, x"04", x"65"); -- left output: -20 dB
when 6 => write(SSM2603, x"06", x"65"); -- right output: -20 dB
when 7 => write(SSM2603, x"08", x"D4"); -- analog path
when 8 => write(SSM2603, x"0A", x"04"); -- digital path
when 9 => write(SSM2603, x"0E", x"01"); -- digital IF
when 10 => write(SSM2603, x"10", x"20"); -- sampling rate
when 11 => write(SSM2603, x"0C", x"00"); -- power on everything
when 12 => write(SSM2603, x"12", x"01"); -- activate
when 13 => stop;
when others => nop;
end case;
when intr =>
case s_counter is
when 0 => read(ADV7513, x"96"); -- read HPD-Interrupt status
when 1 => write(ADV7513, x"92", x"00"); -- deactivate all interrupts
when 2 => write(ADV7513, x"94", x"00"); -- deactivate all interrupts
when 3 => write(ADV7513, x"95", x"00"); -- deactivate all interrupts
when 4 => write(ADV7513, x"93", x"FF"); -- clear all pending interrupts
when 5 => write(ADV7513, x"96", x"FF"); -- clear all pending interrupts
when 6 => write(ADV7513, x"97", x"FF"); -- clear all pending interrupts
when 7 => read(ADV7513, x"42"); -- read status register
when 8 => read(ADV7513, x"41"); -- configure power register
when 9 => write(ADV7513, x"41", s_q(7) & '0' & s_q(5 downto 0));
when 10 => write(ADV7513, x"98", x"03"); -- write fixed register 0x98
when 11 => write(ADV7513, x"99", x"02"); -- write fixed register 0x99
when 12 => read(ADV7513, x"9A"); -- write fixed register 0x9A
when 13 => write(ADV7513, x"9A", "1110000" & s_q(0));
when 14 => write(ADV7513, x"9C", x"30"); -- write fixed register 0x9D
when 15 => read(ADV7513, x"9D"); -- write fixed register 0x9A
when 16 => write(ADV7513, x"9D", s_q(7 downto 2) & "01");
when 17 => write(ADV7513, x"A2", x"A4"); -- write fixed register 0xA2
when 18 => write(ADV7513, x"A3", x"A4"); -- write fixed register 0xA3
when 19 => write(ADV7513, x"A5", x"44"); -- write fixed register 0xA5
when 20 => write(ADV7513, x"AB", x"40"); -- write fixed register 0xAB
when 21 => write(ADV7513, x"E0", x"D0"); -- write fixed register 0xE0
when 22 => write(ADV7513, x"D1", x"FF"); -- write fixed register 0xD1
when 23 => write(ADV7513, x"DE", x"9C"); -- write fixed register 0x9C
when 24 => write(ADV7513, x"DE", x"9C"); -- configure ID
when 25 => write(ADV7513, x"15", x"00"); -- I2S Sampling Frequency = 44.1 kHz, Input ID = RGB 4:4:4
when 26 => read(ADV7513, x"16"); -- configure Video Input 1
when 27 => write(ADV7513, x"16", '0' & s_q(6) & "1100" & s_q(1) & '0'); -- OutFormat = 4:4:4, ColorDepth = 8 Bit, InputStyle = Invalid, ColorSpace
when 28 => read(ADV7513, x"17"); -- configure Video Input 2
when 29 => write(ADV7513, x"17", s_q(7 downto 2) & '0' & s_q(0)); -- AspectRatio = 4:3
when 30 => read(ADV7513, x"18"); -- configure CSC
when 31 => write(ADV7513, x"18", '0' & s_q(6 downto 0));
when 32 => read(ADV7513, x"AF"); -- configure HDMI
when 33 => write(ADV7513, x"AF", '0' & s_q(6 downto 2) & '1' & s_q(0)); -- deactivate HDCP, HDMI-Modus
when 34 => read(ADV7513, x"40"); -- configure Packet Enable
when 35 => write(ADV7513, x"40", '1' & s_q(6 downto 0));
when 36 => read(ADV7513, x"4C"); -- configure GC
when 37 => write(ADV7513, x"4C", s_q(7 downto 4) & "0100");
when 38 => write(ADV7513, x"01", x"00"); -- Audio: write N to Register 0x01
when 39 => write(ADV7513, x"02", x"18"); -- Audio: write N to Register 0x02
when 40 => write(ADV7513, x"03", x"00"); -- Audio: write N to Register 0x03
when 41 => write(ADV7513, x"0A", x"01"); -- Audio Register 0x0A: CTS Automatic, I2S, 256xfs
when 42 => write(ADV7513, x"0B", x"2E"); -- Audio Register 0x0B: SCLK rising edge, external MCLK
when 43 => write(ADV7513, x"0C", x"06"); -- Audio Register 0x0C: Samling frequency from I2S stream, I2S0 enabled, Left justified mode
when 44 => write(ADV7513, x"12", x"00"); -- Audio Register 0x12: Not Copy protected
when 45 => write(ADV7513, x"14", x"02"); -- Audio Register 0x14: Audio Word Length = 16 bits
when 46 => write(ADV7513, x"73", x"02"); -- Audio: InfoFrame Register 0x73: 2 Channels
when 47 => write(ADV7513, x"76", x"00"); -- Audio: Speaker Mapping
when 48 => write(ADV7513, x"77", x"78"); -- Audio-InfoFrame: -15dB @todo Seems to have no effect
when 49 => write(ADV7513, x"94", x"80"); -- activate HPD-Interrupt
when 50 => stop;
when others => nop;
end case;
when others => nop;
end case;
end process;
o_status <= std_logic_vector(to_unsigned(s_counter, 8));
end behavioral;
|
----------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 16:35:22 11/15/2013
-- Design Name:
-- Module Name: RS232_RX - 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;
use IEEE.STD_LOGIC_UNSIGNED.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 RS232_RX is
port (
Clk : in std_logic;
Reset : in std_logic;
LineRD_in : in std_logic;
Valid_out : out std_logic;
Code_out : out std_logic;
Store_out : out std_logic
);
end RS232_RX;
architecture Behavioral of RS232_RX is
type state is (idle, startbit, rcvdata, endbit);
SIGNAL current_st, next_st: state;
CONSTANT PEOC: std_logic_vector (8 downto 0) := "010101101";
CONSTANT HPEOC : std_logic_vector (8 downto 0) := "001010110";
SIGNAL data_count: std_logic_vector (2 downto 0);
SIGNAL bit_counter: std_logic_vector (8 downto 0);
SIGNAL bc_sreset, dc_sreset, dc_enable: std_logic;
begin
Code_out <= LineRD_in;
PROCESS (clk, reset)
BEGIN
IF reset = '0' THEN
current_st <= idle;
ELSIF clk'event AND clk='1' THEN
current_st <= next_st;
END IF;
END PROCESS;
PROCESS (current_st, LineRD_in, bit_counter, data_count)
BEGIN
bc_sreset <= '0';
dc_sreset <= '0';
dc_enable <= '0';
Valid_out <= '0';
Store_out <= '0';
CASE current_st IS
WHEN idle =>
IF (LineRD_in = '0') THEN
bc_sreset <= '1';
next_st <= startbit;
ELSE
next_st <= idle;
END IF;
WHEN startbit =>
IF (bit_counter = HPEOC) THEN
bc_sreset <= '1';
dc_sreset <= '1';
next_st <= rcvdata;
ELSE
next_st <= startbit;
END IF;
WHEN rcvdata =>
IF (bit_counter = PEOC) THEN
dc_enable <= '1';
bc_sreset <= '1';
valid_out <= '1';
END IF;
IF (data_count = "111") AND (bit_counter = PEOC) THEN
bc_sreset <= '1';
next_st <= endbit;
ELSE
next_st <= rcvdata;
END IF;
WHEN endbit =>
IF (bit_counter = PEOC) THEN
IF (LineRD_in = '1') THEN
store_out <= '1';
END IF;
next_st <= idle;
ELSE
next_st <= endbit;
END IF;
END CASE;
END PROCESS;
PROCESS (clk, reset, bc_sreset)
BEGIN
IF reset = '0' THEN
bit_counter <= (others => '0');
ELSIF clk'event AND clk = '1' THEN
IF bc_sreset = '1' THEN
bit_counter <= (others => '0');
ELSE
bit_counter <= bit_counter + '1';
END IF;
END IF;
END PROCESS;
PROCESS (clk, reset, dc_sreset)
BEGIN
IF reset = '0' THEN
data_count <= (others => '0');
ELSIF clk'event AND clk = '1' THEN
IF dc_sreset = '1' THEN
data_count <= (others => '0');
ELSIF dc_enable = '1' THEN
data_count <= data_count + '1';
END IF;
END IF;
END PROCESS;
end Behavioral;
|
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`protect data_block
nLAzd6tD/6N1xeuFIPhzEQzyt6Ku1YDjA3mlpYOLPC0m/bRyjQbNmJtiEmofL/CbUL8pX7SL8mgi
QBU+0zdta42eIxLDUURKTtWe8dppPr3HZo8r4f/C8TLsQf4RD7QV0GouBiPeFQIjr4/M01WWilf7
Tyn6RtjtffHFNDLNvddK19bmaK8R6piu/Kpz8jCVCVAPEQNZYXP1C+7k+M+4c+4u2U3t+GW9C7T1
01EStW+6qVi14dc7EfHKv0wT34zWlhn9yX6JRVtXbQMqhvn8LrjCnz9Zbp48RZzMN4BkowfOcphR
RSpZVzg2AvuBFcD0zlZlEMUy8w3MlwIca/c9wjZYXLFno6QyfCgjsnzkEir2HqtaYW29G5SttkS3
6mRqGqK9YVlcWmfoqfMmcWzu1KwrUHzWmRlxkt4EIqGWS7K9VRzGYB3LQUtIlNnd4cvXrnxIVFvp
mx1o0V/bn4w3Ulle+qg/n392U9QP2jzLL2eN7i7JOvx6jCGIt2ea42sjxS4Y0FHRT7djl4I+F1Is
u16Ybxq7aHpKG1dwcwHxK26FDjNUt3UQ/hJJ1co6AKRyhq45aMd9Cno8dJbnntQrP5xKoB0gubRE
9lHoDlFzIUc7Tfrzo3zvgYHZ+XfUExSBZY+BFS55OOYr9fvcX1XnSVrzMtzfb1GFvU1Tm+CnuWJr
7Dh/ZgnwY9t5yWpsB/hRX8o94mOuemehcdi648bIY4rGqPImAFjDKsVtsT6fGJ9RLEUnW57WzT9g
LhzFC8YnRYcOYtmNxWraKA1v7M7oPmQuXvmVRAsHj9JrgS+WO+x5tmBlDfMtSQmJnZqyw9/ZPdHM
p8Og+6BUyg6jqao6Pu1xCvu7A6BZGqClbiYWfucsRJm8v5ex1ViQtsvnwP7s77Gnz8KhfE5NsLtE
gf3G2DNW9Nv7QgnCmyS0Sj8CJ1Qam8UNIzUvcMnjcmwTFMS1+MuM9pX51vJsOFyd7R6GfNwbrJI9
WsY9BSVaSunki9wuvGw8zHFxAYybVZ4Pgk/cxrNynsQVVN64+X88woztR7cNRRR38XPbvbXEciHm
ckcYHN63dqcAq/D3ecYZ97I78W2Q3LHd6H5LHlbiTKHbLmXP/3Pbc1iqsn3XlFxLRDDGq8eUlw03
MPeo6iyQaDxq97ui9McNr8SlKlWTDgZI3ANV1LXlQimIZB2gVsXF3uyi49OgPYo1SV7Tp7ZHdh1s
HYQS6vLEBaPLoiPsWr5MYcmPsGz0ADZta7/JdC/jvurFPVeQ5BYoEB5KL3FPCQ9PKLxkoyOgfnpB
zrsHV5Ydxo4S/4lPhLyApq8zXwzMNYffr2FiPmk9UFFU3wd64uw1ockXJHHQDVj+8A2x/3W2PyMx
Fb8YIdgr0KyzHe30NyPL3OUU2kPSrZpJFEcapuNh8pMP/v88fhRRcoelCgGhSDvAXRyfm30isazd
nigZR+63l7ExudTIdSYpF4KVLrD5ven8HEH6UgJwjpyaPb+TntOPa6ZvW9E8Y+efKLi0Bz4qcjUZ
a7cKKL25/Yt2ASpIRUa/OgfjWqODkfVDaC0S7CODedFwXEtB+l93q7ZDEgDrp/jHLhaey4rtD9J3
Pd60FSRUtxsMDijt9zPUaHAWCGFK+clFQB3r/iISFZyxblkBIN5jNt1JDPAdwaJ4Oq81taBFUJ7I
dFcWaLRdUm0+VCoHZZ4nzCz+pVd3SyOrXfXwV8VnTIK+qSZjuHluk+Y4YwtmUQPt+FJ9Bb3M6Bs/
pb+prl4R/TmaDG8kJROOxG+F04NXFo2r/Uv7oM1vpJmDEuoi1vDNe4BEOO9vbIPgTRRHP2wv6VqO
volj7ihPfIncX774QC8BIWGzQxgtA4/cJ09ybFXTsbswmEUFVrm+jzfK50Af86vD71HIMyUsosro
nTkf2qp3g4yS0INZOFCaXmUyUjINorfaVntOt3r6egsNNoLNNkMyZieESgG9U29AOHeTg0r7+seQ
7aKUEIZEq7W7MOUEIPvy2NQmXDskpz2sqt8ADb8v5WKn5JpMqGIY3N8d6LgMUAInyejzD+7HTHsd
EmenQ6utwaewitziz/pmEQJK4ViDmMpdISdotQj+l7saL+8dTBmxaeEJ6ebiesxrkJUPEuWnb5/D
/h8m2Mzuc/U1/VDbO6rwxdo7ZB+MAikLhl/UW0FesCcDRJMj71nSR4q34to5idMFICGxXOvlERqx
Cm+BPasUpQzr8ZF2wopCZlYpAYguSrqUonT/qjKQbPduUahOS15T9I4hrv+rZPmfiLg35Z6aIvuB
M3z9XgTZ3+vaRJiBR9ROriDhx8mIDGo7xMIX1q0rT26R+VB3Io+9mfnM2/sHYiYeoejsap4SihD/
7lCkb1EgiuJe+Lrq3DyGz34Gq+ileYeSjhBVY5Y6xpT9sRpJ4NkaeQJVuY/LWA+5iXHDCcXb5l3/
kAGEKnA/4o+MbOBbbRfqm/WTFoyCYe9dOH8t4yo1LWShnGlN7hwKfOK7Ss8y+6AcD2k4wg5ejjGM
+VPUHyVGPGEZfScrg7C4UbVQSdFzX0ztN/whCqZX29VLnZWJtXXy75QkrDCfcaPHCtkWXMLncl6v
8G9WpceODmO1SpuyTDBTaH3fzzrbfhSvQCdqD3DRtvb2FM5+UsCQhkNo79mjEWLgyn3/xhb7uX/L
eIiGiakFk4/EHG5JkPuqNeDFAUgZ6NaS1P9E7T2TJr8trSaVnSg3Q5TUVFHGpBaspwMOl+3l5Xhr
4KLV5FUS4ruhsTsK5mwkqWcpXk8YaBhGummWPAaNxRrPcJMt/CW3MgYSxUEWAAwkCUD5ZL6EZnAb
VGG+z38z0ENSWtkojT5+A/czpwHhv2PdLGxdU6SwpWwQ9rUwSjVgbpaw6Q86avNBOZltTnp407dF
w7AY6aw9o3gaKCOktzmCB8xBVb+Mt5drkgN6mg9JpJzLYEyK7ULKjfnNKHgGXtX7cw/LikAO6MKG
6bD31uCieHbz+ealZhRvJNqkzKNGR20RQJ34CVnKXRrLimYAyr8bc5nejUd9v4u8WZSI7A3ljd2C
YJlOyH2o3JJGvXuQA5/wKG221s2RV3RmR5090MawiVx4LUw3I1dOYaaagqbEt9y89kAGRiRGu8p6
HZp+chpKxbEgVzlfe6VmSzS1PN0M5rOJ6ihk3WFjviJKdy0wR3Vd1qj/J/h9pB0jTGqg6aAJqBc7
2Y1qR4g+7hgOh7LJtV+x5yFg8matX8/uVNQuCtIGU7d9reFIAbrxI0iZFts5P23pqwy5aZzoFD3R
vj1MN1soDoAFfHB1f+4n32oEHTPa21P/IHxYGTmTKOh2VHA0wIMZ+NSAUtJWH/JwjsJPRzjIB7c6
o5+6TGw8K7+Kf1xOkCC968HDuTGHvOcMHzIJ5YPmJr1khUqq5cxsMWyGJ6b+Z1CjAybJpkBTl1UJ
xWuU3qC+hzAbon5yefuxbr0pkiRkKAjWZ0/dGLnMIw6wXv3ElS9zuZyH0GrTzUpnKgutTWFW1ipj
vivHHsL8A4AOxLzL4v0WSpyTNk6DYKu6QgCWeNNS2+XbDIT7WQXpzcF9R1ngKoDFrbTJ4y3aJASj
IaVWUYzQenRCLThylTaTji8d08gVO/KAaaK0ncg+jh63mydh6SVlVv6yMSzbdAE3MvVBWW4E3gM+
Nb2Xh/t2/Gg72kUNDsFv54nQQG/KPTfwfGo77zk4HQlmIVdzj0Pj5iENiP2IMD/79aeRfVgXNEF8
bNFFec2+VsdZjXPiBKlUG1vL4XSY+uRbDAX1BRBKzBbBEILryA4oj8GIyHulAoYysZnCGMLVlC2c
R6SbYFHrBByG53X3zSzjcMsCSw+QXDGSzcIfi7OYBendlylhV9nFpDtJNblHU3WQahkz6rB1QbVj
0PkPJ//Pdwz3O6/XokwPHL+tZMmAM7PrOcQqYnnVCKqRpicXscbNS8PBzSM9obuVu5fC8luTTnNO
gJm5fG1CJcf+oylv97tOIX1N0ZISvHikdeaOkPKSjirzRbkeNVR5Ulb59v8HG50Kb8um2W1X7aNk
WC8YOrd1np6rKF/DBx54VINmbMWFeCWqqPjVv6fFgkB/+h5Bs53Uhn/uclhzIqoCmhX7isHYJmN/
PmLx3FpGtty7eCxm1kI/8tjGl/+//C/avj9RQxel9nbFGcVIu2RsSshiPpfWOqjFv/XeeRZLpNWE
2QVrRZ38N6qcj9DKPhUYkxFb/oiU6pnHKwWrXHT7hFj+q1jFtaTSV86PoVAJzMBB94LUWjRngOTV
sR3Cm+jGoAzb27S3yh7Js0B0zqUNaZlV9qkwIdnpt7mmAh5VtOoAfe/w8R2yZS6ae7clUTJ4mTQ0
IurauXHG8Re6QWUt0efzkMjXyyVhNsPWpvKeHplX1xJDleuI/xXsL375QPnr/pXfGIpMpLZNeArC
WrEdbdWvfCG8AdH7G61bf1wm+Q+vYpXpb9GxPRzplaAJuQrRQUiNAJPGT27DNMtdtNvcC6+dC+w1
N7+iMLYIfWfvQBYOkot5PsL6l5j9IYdy2d8IpsKiE1mT0dhSoSX32BXpIuYmDZ78T/5m+S3g/PRH
zmMV6mYNgDCLjyYndF41eTqqzBVqEAXa6cmT5JaIonQTaLxzT+k6zdbvdnBkkr1uIviXKnc0THew
gjxfiibkHUYhz8UzKrNqr+mLDfGn/qcg4+y3vT9lX037kU/G9G/uxiKJtaPWYaMrxN1/+etoqE6Y
H9g8JYnP5NWBxF1LntWqDhU5qYJmlLIYWLT1TjzGRPVZznuEdxxUndoAB+KAUzpNBgOIpXgSJVVW
T2csPCRgcvnNlfrXcwdo4S9fl8LVouTt1Z0y8xQNp+FrQKahey84h9HS6LomG7fwi3NL4kDxvYq3
PEKzYbXLCL57bzjKso99wBl9PuUW+uSwOvorNr3/34YdDrHRlXLNNhh+yg0p7NVsGH+5mcqbgS6Y
IdCXQXMpEkKZfIOzCF6GNZp66vhNPsh/+myQYrjUceZA2TUNFgdaIf4GwzIml2akN5n9YicV9XQH
0ughtoH6BnKxqtKSHKCe+CXea+pIeNgo/YWJlbqzibZaawkIE3kFEl0rkpIr1IYouHJNSGPb4vcN
BI0kbV+RLGHq15HoWvyrJSxgUjkHJp5qdcPK+2V9Km7Qh/HW+Ae4nrjf9f4O7sSz1vW1XmXfpq92
PiZaQLr4WOEPHpIcT8heSL5BILm+jS1f074zmN7ZQMA+FRIDJLbdKDwaM5fvlD/eQfIjXQYwdcEL
IW3syGnMSoy1fp6wO1OUAP5E87aCK54c04Z43tfU97Aiypst+Dds2SN+mVHEb4LzFxDKC5rZURdW
a/n+Ay/lMR6WrzBET341hG43HB2cVYJkQyYSPCxjWTduFb3mJ5KiPBfJBQfBBvIWUb5SGLQ4BCpq
CbXDNIcifKy2nW68jSuc/0Ea2IIhTpYgWRvnvcA4ckS/nprsb3YWpZYa0xUZBUoJVRgb3DKDZqH4
QB6zre9fMxXTWApwRX5FjcKi+50ax317TbHhzyiCMvOEVEJPqJJjbGA+9a2fQpMuAtMGHrD7vxhJ
GWDZq9D24YDrGU7RJXHrLRJK3bYj0Qqyl7atFQXpo7/S1C7bLCvd5PNn8jZ90UU1ojvc9dEuvKOF
SPMEIaE/X2t+7JrhtZNwEbygH17f4vAFASS3O4M+KiszKkSpmvSm9neMEbI3P8gjd+euNW+qKSwH
0s3on2PBtUPOLfWb03Owa41A7wy9bIqXE074i875M3D8bBujeTbKQvJvLooIGpzN+khx6Ap8P5Ti
s8JvjQ4Fu/hmNOjL+bhWmjNemLKbRmjV7bXdjpb8Cb7EeEl9IsU6olCiF1Wj7EMjyD+XTFB6oOPv
j+e/Z/BbnPFqeNq4iyCyTn214y/LhTPBW9t60eR3mvo2xrC00ekwBzv/RPmihpp8h+iRbaMy30ci
QSRTQiFRJZEuq8ExZnJg6K0Bk24co4fXcLwNhapLvJKtRWGgimt7Tg2/uFBwj1oo9pNCQQkC5UL6
DQHk1JJy/Pr/0QZ0S6X/v1XXLrPM365wb+J4qHruEswgDXWBmb8BJo/lZPKJdMR7pHZ7Y8tfMEAL
tt50yNasIlZPJFmYXTBDeKOmUVeXKE2SB6R8/9Z+IHquP32lYTwnXFMJMnUdzSROvVlOO+kMoNVv
ivNQhZdgpfHL0AnkSC7NV6Zj/2JtsUW9eH0PDglPVEfCuAEAvQPVJBxoprxFF0FLXwvbgSxvoV4d
bNdUnZ82hGfM9SaMcIjKPZKHbmbiUAsVf4ar/ptmcp0V4Z/J5itQX1yXwrmFE1csQWDssfC1NLV8
yG8GGcuYkpUTeG+iYZQ6q4UbAJYE3FA56l1JvoSnnJaK5FBJ+9EFRFvGJUavYX/BDJxL10PNrm6m
FfcwAh2F0if+IlvhZ4ssP3pLl+ZlwddhsKRH0ucXjSxh5dYLq400Z9pYZMjMVPP3FWH4ionBZxX5
Xutz7jdSB3cnMz4toJ0wi/hRj7yq/oeVE08WuxheSHNQffEtVtokBiAZfxWPD3FopjtCYFQgchjS
/+VDp0Oi+D6vdl5kd4H5+WYK0Uom+h2RE0T66qGykUaRENsObKyMYMs2GgJ8FxCwhyivcP2w7muV
9EwuZepO893GjvUy5gWRicIaRaJQrJLgpjaoar9c1V3DyEbVkHQuvxYf0Te3ozeIoh6ECiMAL1lX
bPJrvMnPSzMPCFR1DE7gBJvpNp0sI5JXcJBrclErWoZkOjOwbiyBPQpsDktityEhq9U/28xqeY18
cu7D/bvQ0I3dcPE+bQfB3M5INtofEPIJuHQ0X46y94uNiQk5Takcd7JAA2Vv0ldQ0KcKXSBkRckS
wVWdoAiuQPsx7wP8NfSy4j0pivctOVlWZ+2AYGXT9Rsx3Ic10sRcOOz54wX9b7UOg2SEGafT/FA2
xfiyWrQ50ax+VAIaXfSZtJMyAkFCRbWinr8NSenQRSHlAcB06x6vx9qXy1tpoRCbAfewVS4o1ZwS
fw7ZbNnWiJJkTvjetjEsXYuvM6BBLyJncz7vkykuBTNBz04+6/Ct7+eea6yhNk+pIDoxeXC07YML
d6P3y1mVRmzbQkDHp2aiajraJiJA9+SVVUdFRxCcCb9BGsrjSr1fndxRo4LjJ5WAnZ80cR5w0Ct1
21uK3n7o1xKek8hxqCPig46EcnPWfB1pn7GRJyLBLir55SCVal5nK3/dJLk3u1It942Kdle94prL
U2bAHWYO4tb5Igqulx+do5PA7ds/BwjBc5ywyZqxRehBmh69wyR2KTQ2qXo8nfN9VxnUdSr0tjwf
86JGX42xahy1iGtn8RCK53ow6AVFaUb4CYta/1yW90fz2+F9PDV7HsfCUJiReOFCuthMNJPq0THS
Gr5LyMgeCB2n4d8LdYOv3fyMCDtcCngQqpmWxYtb/HEo4HwY7yQgM/x0NZ0MBD03+789ZYxbyIIa
UyvPHje0uXVUuCSDwRGmrQv5xiJycZ+bTY3PEXWTyBI2XW67gzZiox3clSAUCzRx6D5pnc8tjGc4
K9OIE7Wyk4Mq62AMxQXCXyM1CbbaXZe2u1yQdEnO0JZvU0mnhbXaHJ7iqcFF7XAHhDVSLLy6XT7m
ADZolAZFXI2K8qfGUS0KGaPPoj3XiTMAt7sMuNU53objSw473mJGgY/FKSExJaerVsCTcuVjUG7H
VYo3gui1FCvIIxiAoElOF1L+nosDgFx7aqhFATNI1IebUuJzBswFBjJBKKwRvOW8uOheLOZPKIot
WBYBSRL44iWJxK+mQ0GaIwtfrqwjvbNzPl93GzUB5QBYPHSfjw/UFqj7qpJaSgG82LI5DRJvlcxy
4B4Kdc1dvZICt5ucxxyntdl2MnRiHWEVFPz1TUAOiUJ1l1xyopAX06/Iwy/ZXuR9bOXMvmvETOPF
wSwQnFPN/9C3EwQVcsdwe6nBuvX9ih/LdsB87RrJK03rchw4TzBGThip41UOWn/xX+EVh3GlnDQi
Q4qa4/7V7tEhymIHFZhhkDpydu/cP0yvAZeSP1Xjq1A58jNOrU6igYQc2GK5zYaR6P6F7pS/4/44
S5FjK11K8GW4/85h5dHbrEQRAPkK2QdMLPrmd7nQgaVX3p6/C9w4J4//b7ey/kXFF77JHJJszW0i
zm3GnozNFwxPeuTD2yxlTpZVopGYruicFywGuDG6uCUujkul+JEIBnNP1Aq+PPGqeXtR17XLYIVQ
U9dNTXceC1gZDcHdmQxbOAO9YwVWU1rARKnnUylb5DZneWOAjVyFL/piV4BkZ0HzQ68vWUxhHhI8
44qDeHUzW9naJmaTloNfbgk+laeFcGhWrbwVgCsAuDNKw6M/1zsgDP2+FcWzhmJOzMl9hbDv594/
smhxackiFuCtc0lAvv/UF8d0itMjc26y6gnKOLAxke4DnEje1UeqMRCW+NoquLCUuPJxuKZGWhrY
hBwRDtOSDRAtlkpnvP4JtQkNt3zYn4L55I5jsWXC7lKwpmtowLKtO88w125VzyBhrpojDmI0dP97
iHviMMhpYqT17+oIRSKp4JLbmNg/xlRlQqmQLErEysCL5og7fgnA1+pKtRSS09AK8e40F6sMWmM+
asFyZ2hekc9MlJYXKTo85qqKxjyqKHpdYCKWPgm0IKWJLC6oP25PHwB8Ih0zkHD2+6T4YTxL9xFO
I8pkW6y0+rLaIIMmBVCvdcxYpWwp4nPLQ4KsYksxTA/nuVa74TGCS6GZpRTouqHnTfI2mCdBOPhI
hCgm2wxRjfB1/GKQGg52JvtvVuFhxcllXImtjuq5/8YuuiW6lvcRJiKIoxERp3YiJewOOdraPoJ7
KwHqhNIrgKtOKoV4zM8FLJiejDCioO0/YLLTwAUuT3lfIxBWeLzJsQI4PEJQaCHkdBRirr3XwoZy
7n/7hYhDdUxSOJ/Jiw06yMvQf7ulfRG6Rw9Xg7E83medIEllnds/K2zR+AEpGK6cKMOIUn9GL5Ql
hBTpAa6uuAHup9r/zDLML+mMD1Dr7CvkGqcXObEDXBnAXQHw38Y1AvHRSD10JsBuU5XDu0S/BQ6E
XVXuscSYbrSj7DYOnjlJ0l7wUbFs7Gr2rvMQXBu6Hmhzd9+vjaCDL3s2skWl92NDsfvgB07IoTjF
TtX8dNo4vQF9Pa8M7zBxKklqCYLN7lgJk++3wWuXgYejzNPiEtE1kF/mwnSj+Ja236fZqtB4ZaA9
OUSVOeqQBuIG1v3xXjNuL5nETkMPF8UiMJUEkN/C2yaCPQ1wkMVtDHJamfDGdsN4hDOIeMjNFtyK
dHfoQ72G7guQnmPcZDnCzcMvWG/EcP63MMnjV3BQJsrd58MtDSU7DUHUyQPk6Fch7GjWQNLa3ojR
UBKi1PSgiIEy9GV1JrQmNuco3NltSMEe/roaOmnLASWETGJ42/XeVYBXwP8Ld3HI5gRRqYXU1fmD
cY3v0e2x0+3hYn19VJQcYLsls+B+W23xwI51tovIx/1Wt49sFLe+5wwucVrl3RFV5pI6mETfYZaf
yqW1uRz6brKg3ZUzpwSCcLHZP513smHySlbYJ+99c6bZ6pt5mv07r8LJPBws5Vh6nSZGZ3xMoOGB
V5v3JaVq1LWJq1LpGA7z6KCcapZ8Mt25+Eh7V7guzQ9VGfMgk+d7ACSC4BUKMAlWOtrxultX+3Is
h0zvahE7sZiD+YCkuwiocTbqNBd7FHIH8pVkUbh/kqSH8SFmewvSJWJsDkxqUcEfdqQw4ebSxS8s
gsZjbNY4D1tqSXlrPK9LAGEzBNJuH4JrgO/LYH8txfyYw4VBu9/UFvqOXVBukykhyCrD08sQXgJM
4feAi5ZYX5whfycVMe7MV7iSVFTJJDRDz/KCtJv7c7QOSlwOJ89SJG3oIEqB2qowcQXD5dzEcLIs
oMECtDHu8lTGO1ZbCOTlBKSOQERFx/84rm4MzRpMdExBQIY9bXC5nb+m5+LbimCuOoz5JKjB6+iU
53GE+4gKZObGMoSg7o/ROhelsmhRjBCXt0qtDCGYXMLAXhU8xtPiwuJM5UVLFuaQhLnIhYHKnK66
dEVJr7brjdM78V3wjQU2QVAOq+fZUVCG8lYm+Z1Ts1qvlt9fwNCcEBsYu+2iOZib7DBfXlmSbH/P
Ij7SqBNnRB3c55Q/LmUrBLDP2HGHqNyLdNNMPktbTd1n4mxmtBDzN/9Thm13BiDM8fnA+kwLZaOt
pA9yaDW0iwb5VcvWOqWgXbYCnIC7ypoPBUY1de1s3oGEX2wMVBZbovKzAOU70PkGBJjBVc1QFU4Q
VV0Js0sAAIV+y3uTLm5jBgJkqFNC0R6qxkiaOBjJKJqlhKHqWgeXtSOLsHk+aWg49Pt3ebVoDuv0
F7nBPDYf2lCQnVPXe5UMtfDYBS7P5aWccg5/dQUMvmCXEh4xVUg10VxbBWOMABaZtWaJBU+vgYTp
IwYcErUKyBUA0g1PMqQKBma97Hfr9Jifc0R6sFsTmlH6LyKVvsb/s6og5MTO2HtgMMUHWS5Wltx8
7ZYY+s/LZoQrcvcEvow9v2wh/iD/V+zjOQViWdmpx2ZKxKNDkje2IQO545J7XINyZFNKJdoZnPl4
rK0OdB07O9BjPYU4ooJprpOFyg+YDAsMi5KKArIvu734UUfdCt3Tx48ArR/TrW9CVg8ZO7c9a65X
MsJOeXGdI8p4MgWK2YjArnzM8+jZAYlNHSDIcXT+O1HiXIAmm+/W6EdL0uvrGuLENtwIhPTybOK3
39WqE2foxGthsaA7wZqDmA/FurKwr8PJ3o2Tg4IiVPuyyzksLW4lA/cp4dJiz7VFeWJWyLGkQskU
dbm9+zpiaIRzpvtnI8/CRGJstIPYdxIXqnr3hAKD5hr9GgGqfvmcUeBvmBAsz6FKm+RK6+mZKOAM
6b+AzllJu2I78ZHoUxm9DgbSt5L53eB0gfzR4sAgfLwoBl5nBoNBNkgm5xSPm3kvZdY1pDlC9FiG
sfY1XR4QH+nv+29tUEx2JxEAwZCIL7l9p4tUGibiidk3lJZWnbYDpytyLspGacTF49TKylucFj6T
FlUuUTaIX64IvnSeAQhpHSwJRwYEep9nrLZ1/ok2GVjHBxyrqJcbdVxhIQ143RH18nLPmzcyzfVD
YSxEL8wR2ykG7FC1aCJF6/Cs/ztlTnacb8ur8L/fak6kei6f60Fnkd1G0NfyqdkQIxR70y5KM1Hk
mPcZtIb0cfRcZ6eJV5IWN9Ap4yUFLzO1rOJcg5wdk3t9ZmufqHIAXDhEtV5cXU6mTTW9v+X8c1fK
tE8/SUzDzN4RRGCSN4JP2xMTg/jf0fmlugCeRnCSW4gUd/Gvo0SBQW8CLcqZr3/tMamADKrBg1rr
lS5YWhrDntOrIvE+oyZnI9zPDupzhfh1NaeGQaTcyJIAkwRFTmb02A46vWJtrHlfyEQQ5MgfaQIr
AGUiPHB15Y1NDiX8cUzYWg5m99YL3pjyuMOzXv4O4p8csMhCA3iBNYQlQZ59OgXBuGR93iwnAMAo
4W4Kzyi6UOLyhZ9muaSn0qmB/Hz7aWTDoTxxwtmi5oCe97kBKFi820Kooc0HmILnkxlQR99/lr+4
8SYp7Zu5VW6JdLJvebuNurzVsLMBg3yo+YAbsNnlZZzQfEN/NfmglH5FXcu38yfBevzq9m4qCPEG
VVV5sndGRX4AySwISpsO63gL49cwgzbEM/BuL/lrUAKK/2xN1mAy5fOBhi3M7gOQfG4556Odl1jq
0LnJJptC0OIHIrhQwmjRKMM/3uVXinOSqBJjbYMXdS/sgS1EhT34RHnugn3XHDdBNe8fjYM2hfjG
XHlAo/YVaExdjy0kjwIymFDfbe89REFJkEWtur04VqWa4tMomIm+O/81vQiEU4aWY8/7ROKEBOB5
eEPEzH4YoWGhHFd3Z/268kkfbvFvaP4zX8i9+mw7W53ZOTBgSmlucBDacuwBlQfX9s4kTwzg0gPa
5U8egwW/RS8EGogas9GXBf95y6/hM3GsQ55tQRimrsMmfcQS6SyN4frYBJWHZyEjPLYraMfiIGPu
4R+pbEuihHkdKDOPz0lCIfXX1NJiLFsnpj3mu6du2OAyRGnoyhVsS2nal0q3OVqSG/zKQ4poXMR8
HtogboN0K7DKcLYeTBWViST95SXaIf2f6PilwlG9/sdGvDJnnfwcXk04Ziz8U6xCqi7EBoNCcujw
ohuScBM0WOfoZcoQSqqwxrx7pwLsW3ijLhEnGYtpJCMTrtclrWkpiy8vmkOuvFV46r7iqdOWmL+T
qxm8bm/vvZpMtmhVpsmVwqUUgqyUiAUP0ZFIz/e+CffjhQIMFefnX6vTlQrRASw4x0wXL02dUJKv
ojSXn7DTEvwzubqVQMzaMNKkb0m/M2e7ehJL8DwVTUev0Dow8mQmY3tAFyixcuIcNx6cskJnyp6o
q5mzTTjDXBhYub3iwP241C32XqsfRn+F47KIM0LW0FGnEEhxoJfKC/x5HxBteFm+5eaHO5AxQFr3
l0tLNAG3pOs5dvZkg96RLqKT/nad/DwPiZRry9d/ecWIrnN17j2COQoPmCBWNnbZcqknVzgn9kx0
+es66q/31FY/YOI4llXqpRHB5HxnBDrgL/iWTe8Qqjq404lxTI8DH8t93cQ3uOrFMkdPLZ1U8j+J
pjLz1hB0HBpUSE5fpy+UBI/O5dEgHdCgWgGQ63XDNx8kW8Fx3K9DXKnIOl5ohzNfOE0dQlmIDTdV
Vcgvs2j2Us/Lexd+JtUTHHQSEJrhkebruYi+yV/g3J0AY9v0RiBkPxhQ1d+n4aOFpNmxO5U4DONK
1K8L7b9YRPCbfVhTXiQ/BICrIRMl/5iFsIjW4YxSQeeDhl6xfmp6I9SiZ6oJK6FHAFXplMOOXslB
glbcHPR+N4HvZaokA0SfzE4ODyfHr//J+ar0LOvJEm8/Wl69YCIlHziRMChCMLudOn0DSpK5oUgU
kMdMfzOVXtXXffQx7D8FxVzQ29hsUaiaGiqS75E8KvFoYvghT2n82JSFVyv0JgVhPshSmVTMMTJa
IuCtHVsQJRpNQ7fdy7mSBkaf7AgBGYboVv1fudJSgYB7g6oHVQ0GaQ6vJOHYJyaiuR9iG1C9t1hR
94PKXuW9KL5Nnt9/18LeEeuIY+zRIRtvzbYStpEncaUqYjKer0EtLZaQBYBtGtab2NM/F8WrnvRE
fzfFilssfhlaOL/wQItv3QKBREtwdkDLwt7YLsMhniJt7XHGD8RVWD1loPOe9mVbheo1xL6ctgON
6FnRg43OGVi5YLz5CyWfBsqZ2o3zRTmLL6MvHW6Bpi2Dn0xBNLH5yUSfes0b7JZvEUphK4XIvNLH
hHKfaMVltekZO15axKJIvqiaChA7Qc6hkclFcbCrLimvmcuIiTmr64BNSWJ/YVxS0zQn7aVfg7nx
hrbjBDKRexSouLIw2ijYXSjeJ6eIydjaLGjGA2YQ52+7JD2JIQGUVDWay440AJ++XzSAhvh72zQG
ideLfCnFc3DsQlAZF2yYnO31TTmpuNfvXkza5C24A/dHQY1mQREMhFELjZa/SD2UODyEjpicChqW
kuiL+6cWAlHld8bjM9dwQruDLqY+7wJJW7thaOmOq0jcxEwhximwlA78bKeG2zGtFaMAniKUgBAI
j/9d3LhgsYd41dMxgJ+6ophFO+rfzlOterNzeF01aUer5xXuRID1GCR6CbOmDg7MAwE/dWcUfR3E
8PE49cpMwILtyE6+M46LSTu9ZYdIU+7UwkZ4QUaq6jpFKHgNQCM7iJATwD0kCpVuCOopHdpqpl6m
0J10tse3e1BvOMuJbiwDt/Hu+oOhOsE95RF75ZXnIbJp0JR20UybaB/lgEoNoIW1jxZTsQqOLa/P
ynpyUyXWH0lB/PrDliDbprBTpi3kCWCnTUd7QHgLJM2Bb+09bjHkdiTyoO3wNPR0IBe75itWiulL
UXB+5MfSkHkXSnAHsPHNzbvLuA3dQTzFE6ZWc+d8+w2vuGKNlHM3k3310p3ydDDz/vBqxmc8J/HA
S/1E5+lGm6u/lyQGc89VNO6Xh2vRfEKDeLXS9ihz+vAOBYNUguDlzKCpFwfR7IDpZ/eUBojdq8Ds
pKrhHgC1aoAOmpx1Cmj/+gu4xgRE4m1nxzxXd7tyFgkrEEZliEpIKH00G9k1BYCTMQ6sn0C5xBqi
BZnAabdtgGhKf3CGXxOvbs4yIaZDUufGxx3IBh8lktUbGi7DzSYOfjNxIxamRMweZfNB2C8p4m29
wwhDkqHkLZtXNOtnNXKovf4MPCnipJ23LIW26NkejMC0i3eQqHqxFqocdwVM/XzIJ0XkSKlHtxm9
wvYE4fAu93rwevJ1ItR6ewNW930BNPbmxIR/IimAws7+QBmL652vSK7lKGnI9dRSZZc1wph1gyc+
6J0tdsyOrM/qrbUwzUbnPpeoivHeCeuk/LRBuGVOZLtjlTc2OiCFMPWLHEcDh55E3g7Rg91XLxy4
7YJmPgl8tRYz3WMT2slzhZZe8JqOduvmKVQwhU3fTx/A4nrR81xN8izFDY1Qv/0I9GqcBpqEanPM
j7tzQjcvle1ShR6Eg5OlT2fPEsG3bl0YtHFCz8NWGy/gnFKnr144xOOyIVGB03UwTGCVpUzqboxF
zDKMN+7uPOMuCkwv31A6I8LWqIQV/Ua4/cbhMJzU2xKKB6MM96JW6GRAd5PRB9vAERqtckzxNk4l
dX5rRukiC1Srg/ghSXwUkkLhLHx4BOw5yWJa18WfQEB4A8tbaOV3cLEe6ckV1QRE8Whpwleg8ZhL
CGlz1tWPSoBYrlHkukuvxeomAGMsh4MgkC6iBU4J+l2rRmAOfN9+wslfqrK9X0uOsq6DvMyiuxya
TP/UfDE3fDofsByUjR7RokjgKjoZI6hH5uZcrAwm+VFPbVyMqq/PvgQCphq9h7SsSOYQobKgEbkP
o6bsdjtq0QoWwbdmP43GDPszDrP3BpH2u5+ZQd/XxdrfOwXHNbim4Thcnf1F2tS44pR+OEee8ClT
6d+//StkBqVT1Y48EP/U11QIqowt0q1crfPMJi0d9lUozG5dmShsHEGC4/y6o5NCdNDi9rsCxM6B
xQyQKLo3GURAVsJw/Zq+7uVodCUkbpqro4LYk+PLADfNqgki9Hr0iXHEzKLtJz8Yq0Y2GkglAdVX
VO9xTRybProhZeXFse1qT2l2+8hyxzREUUPGSG5thZMOP/bQLJTV7+JD+5BuDJbMHwYyloDxNolF
JizckK42Qn6feKN8usl4qRLMApLnIHrmabJ2F45soD0dj3UDeR/pjy4PDjVHBTFkR1TMS0qUkttd
W45OhRlGQmDmfJdYxu3xmiPgCumhV3mjKz2zJKfSOGUoQIXnEuHh6umq/hOagQvNN2gbcY0uJLWl
i9eSqsUv8sDs3QwlhaQTAX9vp8YxAf1R1sy4TCAg7lAl7Wiq6lUdpRsyizNQYRZrcRtnUyhFnleD
IijQez/l1RxhzkNfpEiNPA82POosMRfY3NOZdddAT/zo6liBEuqRkQLx1GVXFbXDc3b08Dno3xdW
NXqev5u1ycJMbMdRw1C3z8A4DPDz+VJw0rzND0mOQWpLnxdl17bIkApGF/ULWpJEM8ne8WFLaHK4
exgKo9z636D0Zmxq1ubXcYVmeCxyGSCRVZh+6xIB1LDRjqA2kyvo79KI4Gfi6XtIutXkL1NnkP5B
xLBR9WpkyodQxQPPv6hRoi/cQeUvtpm5cFATpIUCdbDV3td9o5BJD9f3zBHXmfOt8HP20/+ae3Li
nBeYbq1FxxgSr0VPSB9HY+r/N9H17VKlDihSHon98pL608fA7mTH+7wr0k2OcrMV4QGheqM1NHTh
yR31lYiiIbaUb3y0wbCbOmxMDTpypLqmeMKcivzJeRIOK65n7oPJpSWTBazddR9GrAFJ8YjME4gd
Wfh+jsnn461/cdCxhJvM+JBlwdeM5z1oyaN2ZpyiJFudco7H4a9z9YPJZAUWrTIvN/4DMIYY5Klr
dJw5C56BdIY/uqSndVL/gmmeKcSyvMmPqkrdYdvZUQ2Pov4R3mRbf5tRy550dH34yjL7nsPaI2UW
+p2CYTHK7Y0R6LPiaspHmUfawHcJHLrOyIbyVC/1bCPU0ynlPlk9a8vs7VoadKBdmckril5mhxbU
JCTDJwY2KRmIGumsebmtTICaL4/dw2Ym7/bgJJzlzAr2aFz4Qpb4/Qw6hVCIVjk1vOdSxh6LvZPv
5I8xk3pX/jMxnxT02ThqgaH3+6/Ut8IM0DTChpAGTcSAx8e6nsoRMOuyARsHrnte/CsfpamWdE6w
uWuThQHMKLSSi0rXTInBlUSptm0r3KF923XbPFiFBNrtuWt1EIog++2ZMC04rZEfIBmzjXCEjNdU
O8Yu8V75qt9zCp+7wVYFc0534KwdZZsnl5nSIrM5mLg6ZT3kCOHlGhbsiBlxkrl19gK0zr5aism0
ofmIaIoA7xiU7TIxdtSRV1F67SNKhTJJ42InszYZ6FOHnWRPOVT8s0gC/Lg8t3ijs+Bmk8ECN5C2
hRCzM9dJdLega3Ld3ukfhrJv7RXVZ1g3QhQcaXZKHLAedJDu9UeUe+4G9ejKQk6VoR/Zatmwbo4L
lDz6y2UZRleqSmq2B7z56FWW1yDk6kkMkuDlGvKky0BTQB6axVxyk32a58q/7i3GSyEIXLM0o4sP
6rRNdg4InTtdQdu3MWhe8h5o7rlPsN1DHcM5jvWftLX6gMMU349DPaogRXRATxOUUnhU0kJpEIi5
+1EwBkOAizSQkWTlNDTh9UfnH5NfT80FjqCCzeXhwBhGKWZYh8tLTWmNv5Kid3AweaGTZyLH6M7L
Hl8ONaqJ+jc80TkisyTZQXbINGX03dBtFdzBhYCgrMhZFTDwlRxHnF9dpwDlD0q+1kgC3alHDiJk
2Dpd6aAnxeJzM3p+z3/BNRqDS/XRtX9SKXnMnKq6uei2YZHNhrVvpHFXr5oTg+n7EXP6zkNt0jh5
aBNxooaOgzE1mfm/WeUrYVqxl7+D+BQ4mFOXF1JUuw1t/JwrOmbp89vJmvm/MHAl0icBpSJvjpko
69YrkQ4LamjYp8n0PAMk4rFCbgoT/AxOb2ZUMnZqdtvN5QB6byPnqaCdh78I2KATCk2A9MTty9UV
peVqcKCsIJr+sAHVAKXlue4fUls6Gc8rm0yATfm15fd+0mKyRuQ0yq6WLzzzHyBssRHTciVl44x3
a+1PcPm6uXMzzk8UYSL07WO4sSk9SQdPETLNn0ECuLAAFd1fQWEJ2i/jvyNQMnbirFMuj5qTy4nV
DNKCdIAlHLDqL6MI/uhelxy6QhdN2Utxf/DrmM7Uk4PPSzMlqNL9T9SNTYxJS3kiFEi+4YRSgL8L
G0NNHQaU+R6mmqPrWbDOqiKSCrpYoOCGvpgGJPCBORJT5DQCgRZN4wjVtU696tOkThMpt9Q4EMqK
3lk74mnlfjwMlsf8wChJWVlgkqI/JSRLJexfh/SK+eH4oU15TPiEjJ9UQj+0H+CjUYoyGL/EeDHF
A3GpyDj19YbMZn1egEpx2shpe34MmOFit0qZHuRCGZYKGB/KyCryYpUyUngbxzD+kQwiWCLzD+j/
1W0aZBAjK5C3Nwz7Wyiqhxs/HC97Y4OyXLlkEleaEJEB/eOi+6K7G7sZrItBo0OfQXXx8BfY62jb
YjLOwcb8u83HoBAOiBPSx729SDPIWwH8F3fB57z6dkpvY0hxY7yQ+tZ/H20Qw97ECdslrMnW5pdn
SQCzP9fBK5IO2eA+NYzwCsqdU10gRk+ebfzyf3EV9KcdQKeNFHeI/o60uCvvDcAWexRE/hOTtkoD
f381YKCV6oYSBoE7GSEnU0gku1ZwmnlIK7GECSkBVSD8u6xFlg04oAbi/XW3wdpzSyvhbIksHAxi
6NqD6mTydBQzavQKyy7EQnmmBefCm50g8p7vwHEcGvXPAO2niR16q4hBYTavmiAHE9VUUZ+aNQrV
/hH6T5n9wVitM/9dqa9E1UAX4NZCumfzNf+8xtsSuIH+lIDQuWQtSFlkV8J+DfoaJKb8Yrk2ti+o
Pq6Lu2/hhkuIs8fbIpizYuQ1KtPWjtSH2ER7QFfEF32xIQqhuO3zhJZHwyIKRn8dnTnldpY8diEu
SDbHO8NkaQjem9r2qZ7wApY3zeRQeZVW4lUu8xg1WuZOrrNX0i9TLKAgWnRWoATfKiPvHEh/tEWi
NeBb1/hepookNUCUl5GPWnySyCpjSUAX+OwgnoLMxiH2SNetPl/b9g+bMJ5zKY0vAUUgHBCqB4LV
0FuCnwhfxHPz92IDnJSs7KNP9xn799QqpzpqOTgp/ccYmmTFLWpsXQLUZIm8TiiADlFKz+LslSIy
3e6Jt8UZtJhqD4db7RH7NDDvOBX95+0tWxTCCnRvKlURX7uH+/aMuC+0ulzSvM8g2Zj66+jL0J1D
Ua9F+nOGxn4Et8gWy3/K6wAZxy4PATv/OOVvgROeW2idaA2f/Q+HjvcfgWZcjeb/8XzEwmHQSPrK
OPEILFbhjrpjWlcEukpYcE3ycm65HCxNfSNbkYYCZFQy+7SJMQaZELBDcQD6GrAa1JZdm4Zk3n6S
+8b/m5vBPIKfHU1BwOnk6ytdRLg1bGdL4lKkGrJwLKWgClCb4UloMF8I5DKT+3iYFt271FKIGId2
jO3ZUrvNHw7FkogfqM6LDqV0b1+8lVJkRb+VCCfvSLYk0HA8ts9jYmUjSkkx2j/qDWKrmUTi5tf0
mwaHTjwlk7sOGB8G/gGx9I6NDW7+u3bpIQvwOAAP5YFw0rrStfiAvAdeVKbSV524dEF+Nl9kZ3Er
fleUC2brxUvywRdvjCU2JyAwcmfk/tlOqzKnatxhMDMaB0zHZTQ4Pjelsxugfl1ZTRwLa7y86s0X
wOvYe+Bf4n8267yZeq2w27lHjHDM/UvBcP6zqCPgXuDd5SHN1BddWHWEjQYqNpE/XHQvbdC+B43Q
i4/UDSk4GpDLAldfpDvYV17uhWzcR5p1PboEDXg0WC5ES9zX9k+HHTZHxGJDNRTVn+LR168dMFTM
hnZ7U8c7KcLzwZO9kC86prC/mGwhuzAb56vGuG0qyKWqHq9j33OPRDjbR3q/aGkcFoEd9qKv+nUh
SdfL6SXi917EITRL2y/m1z3oGS+CaRUAjcU0qyaBAzrpZMngtBf4s+nB0SjBZKNUlbYnKUt3O3rt
G9MRaiwcJPzM+SFO1T/Ss1FM9OKQFU9rsLBx3/1w6pjjKZ7BhHtb2ztO0JeZY7p8Br5XyOsh0+4a
OVhPqdrNoO5Eo9eQy7iLDc1HVy+QUhVG8FgO1/DqcmSdIFGZiCtkcZFnslVbdaJxGIKJf2mZ3glw
C1ldzp2dsfZAsqNYSA5h6O9rX0xLKq7Jd77mVe31GxaMZkzagjiC3/L8/itcwuEq55LENe5ZO1k0
vC1RqVaUhGNRlkbVyEgSrEZ7ZJtC5OrikfS0aAA7WMWEUuQztN2rsFumogAg8Hts2gnuL7LamdG9
EUviaNoi8yTlOBs8KCmhG9CHjawEQOe5He1Eju4Cn0KY901GrVpweqZFYoEQD7sdfdsb4rj76z97
T8wOEaFa/7rKXlq3anFiZ6L+DaCBHoRCqwZegRgG+vOq8cNT3rv0Q4e+mMSeoos1OngXEgRAHYYB
yCo7FZu4nrTQAt1lphT4Vj4kymFFjpQ6pwailHgc+BUZqH/4Wi7KwQ9UnxaQCz5hu4dPeO1a08td
H6irWnL40k3XQmPXQlR359Yv8Y0G5g4FtrW5kv8f333AQnYM6HyWNfN33wtZHRgS228T1rA2MF7D
4Ut5a68fC4UcUmNJq5v67xHBgYXOjD8FDl1EVl71ph0f3/f8gyNb/wMyZzsStNdypx1ln25qvJeT
eoRyI3L3EwtedKjF5zxsPZcqihzC+psVnAJYEgaEY40JdpTnaal5HdlJJvHKLXaa4KC8zTBlDWYg
NeuKQjKxB84RnoIvE3fKHRSOHCDvQ42Hc6wRbVa8MCwT7pclhd2GnK3CN0TYGFTGFnHjDRP99gDy
KbRiq/RHcvgJb3pKVF+iy8CSELvPiCnY90aYayTIOizTQXrtBWN94Jwoo7dDK23Cno9MfPy72hZr
YSI+9fMhqojnKnAAmIkxVdLkGVZ9eQtKc9DAAinyBN0FkNqErXz5ktJkFW0ladfCNtRkwhloybCl
qW2RmeDhYsgvxD+GAJAk47JRVIkFwV7onYHy2qNJX23Ky9xI3ZOqaelhc5Ts0hc9Ay3TmoQA7mcl
AE6r8brDfvUxey0SPokIOS5Bm5FVnh0DSkfF0wEZU00/vc0jN6p4LPOYznapNsQB5Em2rAdoIzG+
xOgWTuY/qtphRJw7ICAYDS64XZMN728XVO4LbMkGeaxDFNvjJHobyKRHIwUK/sy297wD2p1nqsKS
PA773sH0056gzjDWtzProKK1t3Uw1z4TAS7l2p7If54ya9YRvyFQvcqI0/3j/Aj7CzIAm8NwxuqQ
sHRQthlpp6DtQKzhPKWYphec1fgem+PMd6i2gaJjhJnzNyCxx82TBnvheD4+bM+e5AFAJrMWNcxb
2hShByg2nCpTYUT4vK2zLET2YtVEKHmBvrJuSeDX4ELWWEhDcJ8dm21vQwNtY7ntGRZ029sLCP8B
iZH9Q6g9tSmCtEMF9FTMRxtq6SGZ+5DYF/HPuNyXeFEojfv3aPIcSeXTdDxqwoF2IZKHs7xm7GYj
6UouKl2T9Unb9REZ46ENsBgmalXcOKgmprcZcQJ4pVLl1oG7COF05WYo+dpbRa7Ko4X9UQJ+7jnT
JLet3K3UvoIOIY4/9qGDhBh8aJX33uQxvh/5pQ6CVRgAaz3bL061kHQDL52/LbYgyEa0UsHW5RNd
KjgiAKNVvnqtW2FBorMt9gU0CeSCQ6nRhiJkxe1bjqw1+xkV3C0jl25rLXgfSIrimfxP03hS5KoR
y/jYgtOtp/gW+yVSJkE4hqKT55ntTJVP0/Jo67j8cUK++eGyP2zzLEYXHgpukEtgHhGDEpLTJR6x
iy7Xz+NWNc2EAYK7+IuJepe4eYg2OT7SDkOklF70yEvq10nsQWDqVdcYG01vhQ3wGba4Xt6MyAFq
ICRiWxWi6CbmU9BvDrbv5DNkpuwfJUao/0Ocd1+GniZyNOupFTM6RkFzvLTZmCwZw8At5jWVba2j
MN76S//JCc7xDx0NrU3XOchp9f/4vmzOlmp6JxlAh+jg3w9Mh1XbtOJJj74llGNVj+iaVUExi/+T
7M5MXGb5puHNAFx4IufrJ5Hg7EEzCsPi+X8V94F5jj5Kxg+2MzU9U+5LxHNexDhUGTOmOSMRA8Zi
CPsM68fFDfBwtvTcwY1WYm9Hdq1FiWiOzdlTTkcnZfVW98y7NVDZIGWf3Hxn/qPhVOHvwQn3tECU
wgCBdbMMbFqQSPzia+Ua+bn92KOgzUb+/TpBVpDI12gfT/4IHEDchzp8U+jmeoQz7uk5C71Y7FE6
BUFcGIfLXvyKycHKQrCUP5CHgoTjyt2CdYQSvEuDWBdQOuARemjmvA4doXbswkDYv4ah/QtPtc6X
ddoiSgrHU/ZMdewoTEeam/o+4q3VlShvLdRmXBN/0L7GqnB0QX48SQ45ViHsC3eQleHuewEbzWyt
dJytGimVeW4EcOhl1RTDmiTL/XhuuQyX9r5wW3tYPU9TLRpcoQQORzh4yyVznNd3EJLcmPrDzI9B
iP0fSIqIZvm6k2X/CPSvw2g+/fdwHYApY1Y4XVJ3q3qjn347a6qY6ingn2QZ9ZChUQCswHJul/Ge
/FMOMyPchAy1VmdPQUTi4C3k2WmaL6WTMsjlIfTdmQs7pup9dkPe3on5iToXFbUVgIQuTgCEMLZN
DiJjFMvFT4EXNxWDWAT5bjYw4JuWfwcM/bwgRtsxHojzyLSPnejOIgLRG1jUQbmXtifvF9Hf2iF3
1hWPvXsxOHq7EQlLpMbu2odVIL3s3dG4Jdhx1KyUJbj6CJYBHVnpeyMXHNSuwQEcSZfDpVYTmLvc
ePdgnqknOqnP5UNT7wPoMF013XDL1csI+aOgoPBfbXn/hGDPl9cKG4nLggttDZVlSfBL/3Qxf5C1
Zomhg9QrPuvdxT5ZDAdTg2yCeNW18Aa5sVg0ZKaumHmFbImUkmEjjktdxe+MSSy/R5LKLX7GPwiP
W60CpwLbx4PNtI54elkAa0V1Atkko/yQ/ceBDRASVJj41Sn2614nMzzHfw9g49jmpWNLL029QLS8
j+oJxbmx+Ni48K81NlJoA6K9S8SSST6ksqNT8fkrtgYMotG53FHYUZLJ4hULUmq+eF+b2thDOBDL
iI8Yc5Co/019QwD0MUijKTkZe2G1AyEAc93kWyJoyA8hQ4j73TZpz+D1u9XQUgWB6VSdh7FmIcGd
1iyfSK1v2KjjzgGhvw5lSLA5gSVKLMPU01KZjQ+c7/V0YCxnD3OtLaNM1pm4rc2MbMjAZT0MAjkt
6DAtJzgEbZSgT2vLqeH3sb9R8JjL9+Ul6/HpaE8ZRzfbmda1C5d2BL1rxQF+7/tSYFZZP94ntuub
tu+RGkcxfaI8fGPcIZqrpIh+V1yBMLEvbZbj/y9TIhjuFrEt2YIY9eAgT09VW/KtUOwFhzqfwc5q
KCg74CSqSSpmV5YefROkcw1nd9KYH/TURIapYAevuCwpaC01l2FGhQ/9a6MlPpc9/DVEiN+PvJsz
kLbbZYeCu1EYYV45sAzOQu4LFVamu+Un5Z4oxePzdIg6mBTtOUns/MwGo33vCJXKGUEDSLPyejzl
M6oBR+SXC1e+ShZ2BptGr+kkG+PzunK13GUYL0Ejz0WIltfzBadCXB7mWM5cy/gYs4OGQCPauOTM
Xo+DfDdZ+GpLgQeAnYOJQIGEugrHhbh6UD0LUHFn5NmuoyJdgpQHPRZ0CyKBFogNhngNnYouJZAR
cvbVhENMKLFQQgQJ7QwKUXwXgSARq7bPfTVGrzm4zgB0SrWy4vuF1MUX0T7W4VB6JkrgH9qqBYTo
Z6TEq6K6bf4I+5I12KQ+Q9T7KsHZ7W0ak/qhyxGbmOuPpAkvhdYRAKTVpHWMcWV2F7bP8zk1AWXB
D154IjkA5/EVXnQ57zjv3dpD2nSK9Quupz5krFA/9V+OTZL/NjW8yfejzgdBXvAeaA2EFaaloER8
wGCRp671r7iIoCLk/ty1bbI3czDPKhSjv85pOxhhrxKmNVg1lndT11lmy0+Ue2Ofoq1jrFTg/X9f
fCOqAqiUgM62kk2qLxYrczc4ZitFufnUFQJ9SV5b3FeusIwaxpVsyv3dAMSt6UwkkuxlLZ19WGRe
oEGLkOHT2uvHOdLtue90d8FjH+95xxl2iFjKOSIQJqPcJ3PMaeBKqOqFOluAWAldf94PkQht55Oj
wtfYOQzHtM7ZaVjp/LDHJLYEpBBLQf1EYb67IPonr3gq9KL79TTbjX9FZ4dkqIfy62ZlfhJeOyG9
RQcmXmUUsrpKAPaG16NDu38oMfNiOMf5AFwi+xbyX6i+zi7VuyuURkKOtQOOC5XFTnb+DUGMfb60
MnUJZVWjXvAsXagEOl8r0DyGSD5Y3icLbIKukKXvHGHyd5c3EfXZxL5oOTwdVwKkY3bfumfqN1qi
OXtYM3v88yc5Lh5hwC8HL6FXOcu64qq0CoPBhqgL6CX+39gWVotPRcXg7QkyExaMMEXGr3qaYa7+
hDqZt6kXaRYzJGtFCOEz1iqjHnEwm4Ssjtriy2KYtsUYyjEEROgqw0cvT7v5dpXaUV04/CMpqrX/
Y3kvSdE3QQYCEQ118LwcbwEag0ucLxfhxqCU6WuU0SIkAxxxkTflLAEpnlCP9Ow0VWRXRK9tOcPv
64v9pjqWVaXJedrWQy6Z4MrGThYClY6bTEehFrnBAcERF1ZKEhDHB1kJK+eZ572RRZ8tDJtlFJrP
hdbZZXotSaCDf2IahixsX7gFUKgsq8omkiytNP53NpCFLBLBb/oEJ+8iFYkIreGWW51QosCqiv0O
+o9VZ86qzu7+nWGdkNQ2ip4o0wC02p+GF3KFS1pk3DoP4cLdhvGC+boqVEmKVHm8QpEHykjBsIg1
20QF3005UPB6JEokEB3JxP675k1XgDX3cKaF+8oouN5Ede9IFinR581Bu3BhTDcaYJO38cdMfkI0
cpXJQUJe8SwYgWxUWt/RvWTggYas4fYfSu51DXhLJbg+8q0giQTCtynTy12TL+8Nk4WUAnbxwhtH
95mfi+XKQ4ZBTCMfgrk8sEAS6DEennqeXN1Rbf+5vRKkC405iU5pkfwmak7aStTdcunrW+sfpM7S
GerIxICxeEW9fjaMFpVdY8NVwblUAKpyOJZuISskIvqwcE8SgkfTPm/Gv6FTrS/vdYHmOayW8d9X
veFi0pLYydP0e/hETSfnYcG+OD10Bj7vQpjZ4TmKXudpUFksRqaNCEwXkAk+4N1Kyx1OqrXI0dUW
G4wzu7OxwJmzsc28e+uiu+qjqwaXUneW7qKnwPor7YzcGo5KVySMLGa/VJ5CvgCZq2Tm8qRt5dKx
drX8/VnkIKtmG61Tmxxf/EFheFknGLjxgvXp2Xno0MpP8E0RNGtp/rFDA48uktYcmzCShkqAvunV
4saPGXWcGQoqxhGhRVyRlsS8vrE9hz5+gxfSyY44nFPRNFw1dK6mJ9nWA6BLf7rUvHSBp5FupfOr
gu/ZKi4t4Lym3a4BlSOOl5Qb1SdFxSiOMDqFO+yncQkSZ1reHjEZRNxprxG9/pfWHPNOovz+hIxi
idcEZ8aacHVv/1VL6CE51TQtNwr8TPHAddRLgVoZTXfN9jzBKJSCeaLUzM0G+KzZOuHecfB6gUcl
J8SjZdd6TdYtNLpNCKMfOKEbL+gU3khDVgkqsNZOjwzAKespWg8DxoVFzHqgFJ4NEkX1Z89c/4R4
YUJbg0fTAAOnUWtS6Ttk7J+CQ15ZVk18+BVTKuNOa2UnFwra1htSNtvgvuZj0PXzDMuOO+rhzArL
3KFi1GYffsfXeNpSF2Y+RBmncQZCFGxTb+kFllt60QNIcw8i4K7ECihIZ1mvVHtjUErUFb5wPmJh
HjFnaV2/oyNR8uQwi5vL+eT3RkLsseI6i3v6j+zLbTztNB6btFWCpA0okavw+FtlNlJe8b7HM1Tt
Cj1NKGfddpIeZyY+imCc0NuKiv8Ui8hPgA2vWl62dB4u/4IagXm28k78AXW1vfSnAadXzKhxBmev
zgwa/uCXxn4oPszDwTtj2IvhL+DhOu+qZ6YZ4ph2mYprYPAZTJameCWbJDeO0YEVj09jvj/BZy8e
kjk+crWYszUAZqRe8tIXcsW59lAz1YJaVrkr/dIC1hDPsvT4GZHwUauuozgA0T56MVjYeIOkxCWN
3nrm1ltPOVrnSGszISMo5GafM8CpZzaS3WG4sxlR2bYE2j9ldoSoVEGx3jB56EPtH4uvhGXK/LAb
ZFgHbxBEcdQKQUDB3+xz5S8Hz0RNCSk2Eadx3OHc4brH5TyQU/nIYM/4lFSVRs7Wq9ntqXVKjTLo
kQINEaI72Mbr3gTXB43PzDEypkwc2buZS7ENr3xoGC5LVP7khAaXMr+NqW/JxTZzynUmGo3a0AQK
tzUXcu5iqri4fKPV6yJH6MVLeciOQhsMnactTw3d9h9Cs+YJDGcvDEtFp04AHyIHd0BD2iM0M0ww
5fdbnUvW37a3XztgyM011xg6Zg2EosD/lNDVsWtfhcaPE8uoW6r4YfoA7qaPbXApJC0wMUfhE5g0
WpFLoXIEd3UGPmzTIRs0bjNALW3wYkcN8En5UZidOib7KyZGMYmXoa3vGQZm8iOwcE4jGE81KhOH
dbe4J4FkM5NP69LWDkt63lJjRTEV29y5UtkgzCKtKBjWmLzMSkWDpT42peEwL/Dh5zbkdoE0pGBR
dyyMy7K8LXUM4kfzSg2YAMfbqb3/c7ofIWRblbSDORChjcwV3Jp3nhGDdKXmNqolNkOt5yXNG0gn
OTtriS5Gi98iQqy5T6kk5kt9RFSPOXD6N5IUifFgZsEU7+ncn4PvE+zmSWVaOMU+x1drtlrpD0qu
rpKQaBW17oeozlNheQTXAHL9x7HdHS1flHewyhLjnDmKcrQYyCWdq1Ld/3OXLviDjAGT8ceNzhIN
PBJe/VTE2ahJNPnC58zAxmb7vs36sxv//LOujTNUuRKZjLvOa+99pYSfIQ+Tiyl1fDnBoTnyDYmb
tKTJDtsxCyffpYQNrnV5rz4eiC825KAnn1NjqiRn9yAEgsRXx11+8zo5JpRVaeJcA6J1/t6oHmLn
1l3VnPhXlasMHiuCu3K+B8mSTSXRRWVTN2Lk9VYOELk0YMY6E4ZAyyrrmjpcV4KQQnJv4AfThAGL
ah79+l+oZ94DKdoKgpnVINXhyvEYa4e0QI2HH0QnlXxNb5fg7Nmjhf3B/Mdp4EK2JvXygkTheaHG
RaFdSo540cGaRcpQafTvCUG2mS8uJVeFz/G04csJybyM5qK2iTzQTAsYzWz9hL7pAzVOAzqlRGKO
EKl/rJ85hWX26B/B3BQXmc1Df7A00ip1dsXETbqZ5ax4r2ipm7eZqbSRnH4Y2F4hoAh8mDMJ+BcD
L6ZXXeGGajeBwAfxjySStWoDdFDj/mCdetFhOt6vJQ8QABAy/4GUBFowPeX1DimokXkI9r+WPDyW
GJ9aQv6Rh0XnmOfJbewo08UH3XoeavfkaI0XdZfXublo8heMR/JE8nFcBQXE5jVzuml4TbU3Os/R
T/Y723+jeJDG8Et3ESiExP7fQMlEo3wJKy+RJoQUcuODMGwSQHHQBL2BHNH3Fh+1ZFz2Li9HfsEl
U5NsdgRXXvHVmHDo2nxYnIFPEBClJ9UDoHTpIaxv2YfagckWXCdgxzVelArBv1zTF01NN3xxyuuM
sObo//1hSf0wS1byzhaY3cZ7kAw28RX/bSYcAuKkx9YgixelX5D6OWmUTx7DHW9cxwcCchAX96P7
GC51Okq7O7Uxina11ojG3AjObZhyfQnE6ys/7mExEyculGHr5sdkSmZX4mRgsHJ+d/Mg3xLrmP7K
I0nQTOdVax1aTb8Zo2m9bZ0sue6D1cBF8PyELeEHsFS1jYyi0NiFg5VBDkUw1AxTsA8pH0n3o0SP
eS2BkDnivVmQU29xYzb2V+RXoDHvLpnVyARqEzF0xpB3nFuefaT9zzEovRfnqrmC9ZZx6GtVOIhn
+gSgtPXu1Vo+AJ8yLElnBZNWzbAkRAkWP7ZRZHogPQ/nr6jw4EyeunQ58zGT37HEqZuwxhp9gjQX
kAXKdc4c8q1lJZ3P0TXMb6v9rh3Pi9znYdNnyyEmYUpiFhbx281v8FTX9UhyAbuLJPA7DawVZUqr
rRyN7vdv23mZiSSsbh1PmVRyjSouEkbn/MC3/2Q3rTvJ1qzlN31V6EjmhAnJpS3dWk9PcFp6kEqp
89Bs9GqYVuhXzPhklTB/vOy4l+FQkGZNzX5/Cju3g0rJBvnl1Jl8DI3WUEa7CzBHfbdENLWkRYu7
KcD5OEIBe0wCvYAQ4AnxnzimkqLenUvWUFlnG6+o1kBhWimEjJqiq2RJEs1M+dXhvQio1Apb6n+4
fmIGQZcu6/2DV+YHKm+bAXiSmEg+cJEdSrspW+RsQ1ShwPKirXyJLSDdOgyYd7l0w6Mj248mEDJ7
3KvxC7c5P9mSzEwPzUBOUhOpu4fOAlduCJGtB6fnJTbKZDCl61EDTf65oAW4F/DCqfQNR6shfZcH
BQUlPCVCGzvwLHRZsOzfCJJ20kYsnCf5J+FkbXdkSYzS8cmKSIH4/0YUL7AVKvSm7w+lWS2nPIDo
L/jDDhLekV/BAL0sc2J97x/99rCUFWw2mthR4GypfARqPLsWYrj1A8dqXpJZChKbOk0qzqkHmIlI
J+J8ocM1KS0Ls0Tidwku64854g7VY8vRRwJxPYoOeYoA6w==
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`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
QA13xX+R/ACi8km79qumYiCoL95/JTNXmw/Mv/Sollu1nSewLnwk6qQvytLuy2zqP8g5ZHUfDkXy
dYJVTyRzKA==
`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
nii8tC6PWRY1wcl+Yj+dJQmorGaa82N6txtyUcQdtmyxn18ohe6n/SpcWdMXBCN1HiV+XVlZhDEw
KvXEmx5H6nBr5/f6eVRIc3k7vZjXpluRFM7lDsLgIpfE0fW00UnX/0rMYgmxn+5+4dG7smGpX72S
zm4Z5q7tYiBa+z76ex0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
yppU6wpcO6vEUEaOZTTT6jS7XbaY+e5Jeh6nknICBRlkmT5DzQmd7eWK0ShMWSlNt0Fv0kuxSdt3
PRQVKoJayZoHlh1UH0U//6ySDV8PrR8ZKYbnb5G7lC3+6hAsVS0WEHoXFsxe3QTXWezPX8OXISSE
YYTVzXqeBUtBDqueK1cvQyMM7IWnXgyQ/0dRh7UmnEpiOonlQALl1eEnWSxVZ0L5cd+jDbcSlWqj
VgoBh9A+IbjGjOjE8FOaFLUMzvKXmpjNiGzhwyN1qXczrRlE54AWkRUECVVEGR4zuEA7VTQH6H/B
e1HQhNsFNtK03nDJRyhoiacaeHGOBo4yneyZRQ==
`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
xoEHrB3Q0Yfcf3MYYTBHkrbmS0WN00JVFDeAhGuvxPP5kv5812Q+oIM0e+z8RwGLEwQ4F0j3UPw9
LR04YDkbyd4XfjRJQED6GhUyhlVHkeZ0vYn6D/hB6y5zA45LPFz5aqbLudigfR6lDZgyof50XSaT
wkqaJ1dNbsbYXDGYiiI=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SZoZou8zrLQYkyuoYxGz7q7TKCLXDf41gJHR/eNOYbjhVAUcJLojwHpmGq29Knnj056DtiEpAnUR
HkNwqIIUQ/PzBp2ZRgLcYUhgAGFauW9u5fA3Qe79SJmVAKU55R6eP+5h6YaMx1oo7Myp8ZHgv9LK
0atkww+rNUFhc/kS4ivaypKADJgY/Slv1X55We59ldg5OMI3+jFcKD4Ow4Gbs5tHnIUzKQ507yjR
1wg0oIoTMEm7GhN3wZnee1A7XeomsW7IrTE+3/M1cRWhdrj0rq5nqrI9yilbmzqQyqntfJK6N8Y0
QQNZFJ8oCjr3X+2kFBb+Pd3/scpZe1PtOU8TgQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20896)
`protect data_block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`protect end_protected
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.