content stringlengths 1 1.04M ⌀ |
|---|
--------------------------------------------------------------------------------
--Copyright (c) 2014, Benjamin Bässler <ccl@xunit.de>
--All rights reserved.
--
--Redistribution and use in source and binary forms, with or without
--modification, are permitted provided that the following conditions are met:
--
--* Redistributions of source code must retain the above copyright notice, this
-- list of conditions and the following disclaimer.
--
--* 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.
--
--THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
--AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
--IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
--DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER 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.
--------------------------------------------------------------------------------
--! @file lookup_table.vhd
--! @brief Lookup table generation with equivalent resolving
--! @author Benjamin Bässler
--! @email ccl@xunit.de
--! @date 2013-06-04
--------------------------------------------------------------------------------
--! Use standard library
library ieee;
--! Use numeric std
use IEEE.numeric_std.all;
use IEEE.std_logic_1164.all;
use work.types.all;
use work.utils.all;
--! Lookup generation for the second pass of connected component labeling
entity lookup_table is
generic(
--! Number of max chain elements to store before stall
G_MAX_CHAIN : NATURAL := 5
);
port(
--! Clock input
clk_in : in STD_LOGIC;
--! Reset input
rst_in : in STD_LOGIC;
--! Output if the chain resolution stalls
stall_out : out STD_LOGIC;
--! Output of the next label
next_lable_out : out T_LABEL;
--! Generates next label
gen_lable_in : in STD_LOGIC;
--! Equivalent label
equi_in : in T_EQUI;
--! equi_in data valid
equi_valid_in : in STD_LOGIC;
--! High if the lookup table is ready to use. All chains are resolved
lookup_ready_out : out STD_LOGIC;
--! Lookup label
lookup_in : in T_LABEL;
--! Looked up label
lookup_out : out T_LABEL;
--! Last lookup reset after this
last_look_up_in : in STD_LOGIC;
error_out : out STD_LOGIC
);
end entity lookup_table;
--! @brief arc description
--! @details more detailed description
architecture lookup_table_arc of lookup_table is
type T_EQUI_TABLE is array (0 to 2**T_LABEL'length) of T_LABEL;
type T_CHK_STATE is (READY, RUN, RESTART);
signal chk_state_s : T_CHK_STATE;
signal chk_ptr_s : T_LABEL;
signal equi_table_s : T_EQUI_TABLE;
signal lbl_cnt_s : T_LABEL;
-- equi ff signals
signal eq_ff_di_s : unsigned(2*T_LABEL'length - 1 downto 0);
signal eq_ff_do_s : unsigned(2*T_LABEL'length - 1 downto 0);
signal eq_ff_full_s : std_logic;
signal eq_ff_ep_s : std_logic;
signal eq_ff_ae_s : std_logic;
signal eq_ff_nx_s : std_logic;
signal eq_ff_d_vl_s : std_logic;
signal l_dst_s : T_LABEL;
signal l_src_s : T_LABEL;
signal lo_rdy_s : std_logic;
signal lo_rdy_d_s : std_logic;
signal last_lo_s : std_logic;
begin
l_dst_s <= eq_ff_do_s(2*T_LABEL'length-1 downto T_LABEL'length);
l_src_s <= eq_ff_do_s(T_LABEL'range);
next_lable_out <= lbl_cnt_s + 1 when gen_lable_in = '0' else lbl_cnt_s + 2;
lookup_ready_out <= lo_rdy_s and lo_rdy_d_s;
stall_out <= '0';
--! Label generation process
p_lable_gen : process (rst_in, clk_in, gen_lable_in)
begin
if rst_in = '1' then
lbl_cnt_s <= (others => '0');
last_lo_s <= '0';
elsif rising_edge(clk_in) and rst_in = '0' then
if gen_lable_in = '1' then
lbl_cnt_s <= lbl_cnt_s + 1;
end if;
if last_look_up_in = '1' then
last_lo_s <= '1';
end if;
if last_lo_s = '1' and lo_rdy_s = '1' and lo_rdy_d_s = '1' then
-- auto reset
lbl_cnt_s <= (others => '0');
last_lo_s <= '0';
end if;
end if;
end process p_lable_gen;
p_equi : process (rst_in, clk_in, gen_lable_in)
--! memory stuff to get xst to recognise it
-- write data
variable wr_data_v : T_LABEL;
variable wr_addr_v : T_LABEL;
variable wr_en_v : STD_LOGIC;
begin
if rst_in = '1' then
eq_ff_d_vl_s <= '0';
lo_rdy_s <= '0';
lo_rdy_d_s <= '0';
equi_table_s <= (others => (others => '0'));
elsif rising_edge(clk_in) and rst_in = '0' then
wr_en_v := '0';
eq_ff_d_vl_s <= '0';
if chk_state_s = READY and eq_ff_ep_s = '1' and eq_ff_d_vl_s = '0' then
lo_rdy_s <= '1';
else
lo_rdy_s <= '0';
end if;
lo_rdy_d_s <= lo_rdy_s;
if gen_lable_in = '1' then
--equi_table_s(to_integer(lbl_cnt_s + 1)) <= lbl_cnt_s + 1;
wr_addr_v := lbl_cnt_s + 1;
wr_data_v := lbl_cnt_s + 1;
wr_en_v := '1';
else
if equi_valid_in = '1' then
eq_ff_di_s <= equi_in(0) & equi_in(1);
eq_ff_d_vl_s <= '1';
else
case chk_state_s is
when RUN =>
--resolve chains in equivalent table
--equi_table_s(to_integer(chk_ptr_s)) <= equi_table_s(to_integer(equi_table_s(to_integer(chk_ptr_s))));
if equi_table_s(to_integer(chk_ptr_s)) = l_dst_s or chk_ptr_s = l_dst_s then
if equi_table_s(to_integer(chk_ptr_s)) > l_src_s then
if equi_table_s(to_integer(chk_ptr_s)) /= l_src_s then
eq_ff_di_s <= equi_table_s(to_integer(chk_ptr_s)) & l_src_s;
eq_ff_d_vl_s <= '1';
end if;
elsif equi_table_s(to_integer(chk_ptr_s)) < l_src_s then
if l_src_s /= equi_table_s(to_integer(chk_ptr_s)) then
eq_ff_di_s <= l_src_s & equi_table_s(to_integer(chk_ptr_s));
eq_ff_d_vl_s <= '1';
end if;
else
if equi_table_s(to_integer(chk_ptr_s)) >
equi_table_s(to_integer(equi_table_s(to_integer(chk_ptr_s))))
then
if equi_table_s(to_integer(chk_ptr_s)) /=
equi_table_s(to_integer(equi_table_s(to_integer(chk_ptr_s))))
then
eq_ff_di_s <= equi_table_s(to_integer(chk_ptr_s))
&equi_table_s(to_integer(equi_table_s(to_integer(chk_ptr_s))));
eq_ff_d_vl_s <= '1';
end if;
end if;
end if;
wr_addr_v := chk_ptr_s;
wr_data_v := l_src_s;
wr_en_v := '1';
end if;
when RESTART =>
null;
when READY =>
if lookup_in > 0 then
-- lookup only possible if lookup table fully processed
lookup_out <= equi_table_s(to_integer(lookup_in));
else
lookup_out <= (others => '0');
end if;
end case;
end if;
end if;
if wr_en_v = '1' then
equi_table_s(to_integer(wr_addr_v)) <= wr_data_v;
end if;
end if; -- clk
end process p_equi;
p_state : process (rst_in, clk_in)
begin
if rst_in = '1' then
chk_state_s <= READY;
eq_ff_nx_s <= '0';
elsif rising_edge(clk_in) and rst_in = '0' then
eq_ff_nx_s <= '0';
case chk_state_s is
when READY =>
if eq_ff_ep_s = '0' and eq_ff_nx_s = '0' then
chk_state_s <= RUN;
chk_ptr_s <= lbl_cnt_s;
end if;
when RUN =>
if chk_ptr_s > 1 and gen_lable_in = '0' and equi_valid_in = '0' then
chk_ptr_s <= chk_ptr_s - 1;
elsif chk_ptr_s <= 1 and eq_ff_ae_s = '1' and equi_valid_in = '0' then
chk_state_s <= READY;
if eq_ff_ep_s = '0' then
eq_ff_nx_s <= '1';
end if;
elsif chk_ptr_s <= 1 and (eq_ff_ae_s = '0' or equi_valid_in = '1') then
chk_state_s <= RESTART;
eq_ff_nx_s <= '1';
end if;
when RESTART =>
chk_state_s <= RUN;
chk_ptr_s <= lbl_cnt_s;
end case;
end if;
end process p_state;
error_out <= eq_ff_d_vl_s and eq_ff_full_s;
equi_fifo : entity work.fifo
generic map(
--! Size of the fifo in input words
G_SIZE => C_MAX_IMAGE_HEIGHT * C_MAX_IMAGE_WIDTH*2,
--! input width in bits
G_WORD_WIDTH => 2*T_LABEL'LENGTH,
--! output width in bits
G_ALMOST_EMPTY => 1,
--! Threshold for the nearly full signal in input words
G_ALMOST_FULL => C_MAX_IMAGE_WIDTH - 1,
--! First Word Fall Through
G_FWFT => true
)
port map(
--! Reset input
rst_in => rst_in,
--! Clock input
clk_in => clk_in,
--! Data input
wr_d_in => eq_ff_di_s,
--! Data on write input valid
wr_valid_in => eq_ff_d_vl_s,
--! Fifo reached the G_ALMOST_FULL threshold
almost_full_out => open,
--! Fifo is full
full_out => eq_ff_full_s,
--! Data output
rd_d_out => eq_ff_do_s,
--! Data on output read -> next
rd_next_in => eq_ff_nx_s,
--! Fifo reached the G_ALMOST_EMPTY threshold
almost_empty_out=> eq_ff_ae_s,
--! Fifo is empty
empty_out => eq_ff_ep_s,
--! Fill level of fifo
fill_lvl_out => open
);
end architecture lookup_table_arc;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2013, 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: sdmctrl
-- File: sdmctrl.vhd
-- Author: Jiri Gaisler - Gaisler Research
-- Description: SDRAM memory controller to fit with LEON2 memory controller.
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library grlib;
use grlib.amba.all;
use grlib.stdlib.all;
library gaisler;
use gaisler.memctrl.all;
entity sdmctrl is
generic (
pindex : integer := 0;
invclk : integer := 0;
fast : integer := 0;
wprot : integer := 0;
sdbits : integer := 32;
pageburst : integer := 0;
mobile : integer := 0
);
port (
rst : in std_ulogic;
clk : in std_ulogic;
sdi : in sdram_in_type;
sdo : out sdram_out_type;
apbi : in apb_slv_in_type;
wpo : in wprot_out_type;
sdmo : out sdram_mctrl_out_type
);
end;
architecture rtl of sdmctrl is
constant WPROTEN : boolean := (wprot /= 0);
constant SDINVCLK : boolean := (invclk /= 0);
constant BUS64 : boolean := (sdbits = 64);
constant PM_PD : std_logic_vector(2 downto 0) := "001";
constant PM_SR : std_logic_vector(2 downto 0) := "010";
constant PM_DPD : std_logic_vector(2 downto 0) := "101";
type mcycletype is (midle, active, leadout);
type sdcycletype is (act1, act2, act3, rd1, rd2, rd3, rd4, rd5, rd6, rd7, rd8,
wr1, wr2, wr3, wr4, wr5, sidle, sref, pd, dpd);
type icycletype is (iidle, pre, ref, lmode, emode, finish);
-- sdram configuration register
type sdram_cfg_type is record
command : std_logic_vector(2 downto 0);
csize : std_logic_vector(1 downto 0);
bsize : std_logic_vector(2 downto 0);
casdel : std_ulogic; -- CAS to data delay: 2/3 clock cycles
trfc : std_logic_vector(2 downto 0);
trp : std_ulogic; -- precharge to activate: 2/3 clock cycles
refresh : std_logic_vector(14 downto 0);
renable : std_ulogic;
pageburst : std_ulogic;
mobileen : std_logic_vector(1 downto 0); -- Mobile SD support, Mobile SD enabled
ds : std_logic_vector(3 downto 0); -- ds(1:0) (ds(3:2) used to detect update)
tcsr : std_logic_vector(3 downto 0); -- tcrs(1:0) (tcrs(3:2) used to detect update)
pasr : std_logic_vector(5 downto 0); -- pasr(2:0) (pasr(5:3) used to detect update)
pmode : std_logic_vector(2 downto 0); -- Power-Saving mode
txsr : std_logic_vector(3 downto 0); -- Exit Self Refresh timing
cke : std_ulogic; -- Clock enable
end record;
-- local registers
type reg_type is record
hready : std_ulogic;
hsel : std_ulogic;
bdrive : std_ulogic;
burst : std_ulogic;
busy : std_ulogic;
bdelay : std_ulogic;
wprothit : std_ulogic;
startsd : std_ulogic;
aload : std_ulogic;
mstate : mcycletype;
sdstate : sdcycletype;
cmstate : mcycletype;
istate : icycletype;
icnt : std_logic_vector(2 downto 0);
cfg : sdram_cfg_type;
trfc : std_logic_vector(3 downto 0);
refresh : std_logic_vector(14 downto 0);
sdcsn : std_logic_vector(1 downto 0);
sdwen : std_ulogic;
rasn : std_ulogic;
casn : std_ulogic;
dqm : std_logic_vector(7 downto 0);
bsel : std_ulogic;
haddr : std_logic_vector(31 downto 10);
-- only needed to keep address lines from switch too much
address : std_logic_vector(16 downto 2); -- memory address
idlecnt : std_logic_vector(3 downto 0); -- Counter, 16 idle clock sycles before entering Power-Saving mode
sref_tmpcom : std_logic_vector(2 downto 0); -- Save SD command when exit sref
end record;
signal r, ri : reg_type;
begin
ctrl : process(rst, apbi, sdi, wpo, r)
variable v : reg_type; -- local variables for registers
variable startsd : std_ulogic;
variable dataout : std_logic_vector(31 downto 0); -- data from memory
variable haddr : std_logic_vector(31 downto 0);
variable regsd : std_logic_vector(31 downto 0); -- data from registers
variable dqm : std_logic_vector(7 downto 0);
variable raddr : std_logic_vector(12 downto 0);
variable adec : std_ulogic;
variable busy : std_ulogic;
variable aload : std_ulogic;
variable rams : std_logic_vector(1 downto 0);
variable hresp : std_logic_vector(1 downto 0);
variable ba : std_logic_vector(1 downto 0);
variable lline : std_logic_vector(2 downto 0);
variable rline : std_logic_vector(2 downto 0);
variable lineburst : boolean;
variable arefresh : std_logic;
begin
-- Variable default settings to avoid latches
v := r; startsd := '0'; v.busy := '0'; hresp := HRESP_OKAY;
lline := not r.cfg.casdel & r.cfg.casdel & r.cfg.casdel;
rline := not r.cfg.casdel & r.cfg.casdel & r.cfg.casdel;
arefresh := '0';
if sdi.hready = '1' then v.hsel := sdi.hsel; end if;
if (sdi.hready and sdi.hsel ) = '1' then
if sdi.htrans(1) = '1' then v.hready := '0'; end if;
end if;
if fast = 1 then haddr := sdi.rhaddr; else haddr := sdi.haddr; end if;
if (pageburst = 0) or ((pageburst = 2) and r.cfg.pageburst = '0') then
lineburst := true;
else lineburst := false; end if;
-- main state
case sdi.hsize is
when "00" =>
case sdi.rhaddr(1 downto 0) is
when "00" => dqm := "11110111";
when "01" => dqm := "11111011";
when "10" => dqm := "11111101";
when others => dqm := "11111110";
end case;
when "01" =>
if sdi.rhaddr(1) = '0' then dqm := "11110011"; else dqm := "11111100"; end if;
when others => dqm := "11110000";
end case;
if BUS64 and (r.bsel = '1') then
dqm := dqm(3 downto 0) & "1111";
end if;
-- main FSM
case r.mstate is
when midle =>
if (v.hsel and sdi.nhtrans(1)) = '1' then
if (r.sdstate = sidle) and (r.cfg.command = "000") and
(r.cmstate = midle) and (sdi.idle = '1')
then
if fast = 1 then v.startsd := '1'; else startsd := '1'; end if;
v.mstate := active;
elsif ((r.sdstate = sref) or (r.sdstate = pd) or (r.sdstate = dpd))
and (r.cfg.command = "000") and (r.cmstate = midle) --and (v.hio = '0')
then
v.startsd := '1';
if r.sdstate = dpd then -- Error response when on Deep Power-Down mode
hresp := HRESP_ERROR;
else
v.mstate := active;
end if;
end if;
end if;
when others => null;
end case;
startsd := r.startsd or startsd;
-- generate row and column address size
case r.cfg.csize is
when "00" => raddr := haddr(22 downto 10);
when "01" => raddr := haddr(23 downto 11);
when "10" => raddr := haddr(24 downto 12);
when others =>
if r.cfg.bsize = "111" then raddr := haddr(26 downto 14);
else raddr := haddr(25 downto 13); end if;
end case;
-- generate bank address
ba := genmux(r.cfg.bsize, haddr(28 downto 21)) &
genmux(r.cfg.bsize, haddr(27 downto 20));
-- generate chip select
if BUS64 then
adec := genmux(r.cfg.bsize, haddr(30 downto 23));
v.bsel := genmux(r.cfg.bsize, sdi.rhaddr(29 downto 22));
else
adec := genmux(r.cfg.bsize, haddr(29 downto 22)); v.bsel := '0';
end if;
if (sdi.srdis = '0') and (r.cfg.bsize = "111") then adec := not adec; end if;
rams := adec & not adec;
if r.trfc /= "0000" then v.trfc := r.trfc - 1; end if;
if r.idlecnt /= "0000" then v.idlecnt := r.idlecnt - 1; end if;
-- sdram access FSM
case r.sdstate is
when sidle =>
v.bdelay := '0';
if (startsd = '1') and (r.cfg.command = "000") and (r.cmstate = midle) then
v.address(16 downto 2) := ba & raddr;
v.sdcsn := not rams(1 downto 0); v.rasn := '0'; v.sdstate := act1;
v.startsd := '0';
elsif (r.idlecnt = "0000") and (r.cfg.command = "000")
and (r.cmstate = midle) and (r.cfg.mobileen(1) = '1') then
case r.cfg.pmode is
when PM_SR =>
v.cfg.cke := '0'; v.sdstate := sref;
v.sdcsn := (others => '0'); v.rasn := '0'; v.casn := '0';
v.trfc := (r.cfg.trp and r.cfg.mobileen(1)) & r.cfg.trfc; -- Control minimum duration of Self Refresh mode (= tRAS)
when PM_PD => v.cfg.cke := '0'; v.sdstate := pd;
when PM_DPD =>
v.cfg.cke := '0'; v.sdstate := dpd;
v.sdcsn := (others => '0'); v.sdwen := '0'; v.rasn := '1'; v.casn := '1';
when others =>
end case;
end if;
when act1 =>
v.rasn := '1'; v.trfc := (r.cfg.trp and r.cfg.mobileen(1)) & r.cfg.trfc; v.haddr := sdi.rhaddr(31 downto 10);
if r.cfg.casdel = '1' then v.sdstate := act2; else
v.sdstate := act3;
v.hready := sdi.hwrite and sdi.htrans(0) and sdi.htrans(1);
end if;
if WPROTEN then
v.wprothit := wpo.wprothit;
if wpo.wprothit = '1' then hresp := HRESP_ERROR; end if;
end if;
when act2 =>
v.sdstate := act3;
v.hready := sdi.hwrite and sdi.htrans(0) and sdi.htrans(1);
if WPROTEN and (r.wprothit = '1') then
hresp := HRESP_ERROR; v.hready := '0';
end if;
when act3 =>
v.casn := '0';
v.address(14 downto 2) := sdi.rhaddr(13 downto 12) & '0' & sdi.rhaddr(11 downto 2);
v.dqm := dqm; v.burst := r.hready;
if sdi.hwrite = '1' then
v.sdstate := wr1; v.sdwen := '0'; v.bdrive := '1';
if sdi.htrans = "11" or (r.hready = '0') then v.hready := '1'; end if;
if WPROTEN and (r.wprothit = '1') then
hresp := HRESP_ERROR; v.hready := '1';
v.sdstate := wr1; v.sdwen := '1'; v.bdrive := '0'; v.casn := '1';
end if;
else v.sdstate := rd1; end if;
when wr1 =>
v.address(14 downto 2) := sdi.rhaddr(13 downto 12) & '0' & sdi.rhaddr(11 downto 2);
if (((r.burst and r.hready) = '1') and (sdi.rhtrans = "11"))
and not (WPROTEN and (r.wprothit = '1'))
then
v.hready := sdi.htrans(0) and sdi.htrans(1) and r.hready;
if ((sdi.rhaddr(5 downto 2) = "1111") and (r.cfg.command = "100")) then -- exit on refresh
v.hready := '0';
end if;
else
v.sdstate := wr2; v.bdrive := '0'; v.casn := '1'; v.sdwen := '1';
v.dqm := (others => '1');
end if;
when wr2 =>
if (sdi.rhtrans = "10") and (sdi.rhaddr(31 downto 10) = r.haddr) and (r.hsel = '1') then
if sdi.hwrite = '1' then v.hready := '1'; end if; v.sdstate := act3;
elsif (r.trfc(2 downto 1) = "00") then
if (r.cfg.trp = '0') then v.rasn := '0'; v.sdwen := '0'; end if;
v.sdstate := wr3;
end if;
when wr3 =>
if (sdi.rhtrans = "10") and (sdi.rhaddr(31 downto 10) = r.haddr) and (r.sdwen = '1') and (r.hsel = '1') then
if sdi.hwrite = '1' then v.hready := '1'; end if; v.sdstate := act3;
elsif (r.cfg.trp = '1') then
v.rasn := '0'; v.sdwen := '0'; v.sdstate := wr4;
else
v.sdcsn := "11"; v.rasn := '1'; v.sdwen := '1';
if r.trfc = "0000" then v.sdstate := sidle; end if;
end if;
when wr4 =>
v.sdcsn := "11"; v.rasn := '1'; v.sdwen := '1';
if (r.cfg.trp = '1') then v.sdstate := wr5;
else
if r.trfc = "0000" then v.sdstate := sidle; end if;
end if;
when wr5 =>
if r.trfc = "0000" then v.sdstate := sidle; v.idlecnt := (others => '1'); end if;
when rd1 =>
v.casn := '1'; v.sdstate := rd7;
if lineburst and (sdi.htrans = "11") then
if sdi.rhaddr(4 downto 2) = "111" then
v.address(9 downto 5) := r.address(9 downto 5) + 1;
v.address(4 downto 2) := "000"; v.casn := '0';
end if;
end if;
when rd7 =>
v.casn := '1';
if r.cfg.casdel = '1' then
v.sdstate := rd2;
if lineburst and (sdi.htrans = "11") then
if sdi.rhaddr(4 downto 2) = "110" then
v.address(9 downto 5) := r.address(9 downto 5) + 1;
v.address(4 downto 2) := "000"; v.casn := '0';
end if;
end if;
else
v.sdstate := rd3;
if sdi.htrans /= "11" then
if (r.trfc(2 downto 1) = "00") then v.rasn := '0'; v.sdwen := '0'; end if;
elsif lineburst then
if sdi.rhaddr(4 downto 2) = "110" then
v.address(9 downto 5) := r.address(9 downto 5) + 1;
v.address(4 downto 2) := "000"; v.casn := '0';
end if;
end if;
end if;
when rd2 =>
v.casn := '1'; v.sdstate := rd3;
if sdi.htrans /= "11" then -- v.rasn := '0'; v.sdwen := '0';
if (r.trfc(2 downto 1) = "00") then v.rasn := '0'; v.sdwen := '0'; end if;
elsif lineburst then
if sdi.rhaddr(4 downto 2) = "101" then
v.address(9 downto 5) := r.address(9 downto 5) + 1;
v.address(4 downto 2) := "000"; v.casn := '0';
end if;
end if;
if v.sdwen = '0' then v.dqm := (others => '1'); end if;
when rd3 =>
v.sdstate := rd4; v.hready := '1'; v.casn := '1';
if r.sdwen = '0' then
v.rasn := '1'; v.sdwen := '1'; v.sdcsn := "11"; v.dqm := (others => '1');
elsif lineburst and (sdi.htrans = "11") and (r.casn = '1') then
if sdi.rhaddr(4 downto 2) = ("10" & not r.cfg.casdel) then
v.address(9 downto 5) := r.address(9 downto 5) + 1;
v.address(4 downto 2) := "000"; v.casn := '0';
end if;
end if;
when rd4 =>
v.hready := '1'; v.casn := '1';
if (sdi.htrans /= "11") or (r.sdcsn = "11") or
((sdi.rhaddr(5 downto 2) = "1111") and (r.cfg.command = "100")) -- exit on refresh
then
v.hready := '0'; v.dqm := (others => '1');
if (r.sdcsn /= "11") then
v.rasn := '0'; v.sdwen := '0'; v.sdstate := rd5;
else
if r.cfg.trp = '1' then v.sdstate := rd6;
else v.sdstate := sidle; v.idlecnt := (others => '1'); end if;
end if;
elsif lineburst then
if (sdi.rhaddr(4 downto 2) = lline) and (r.casn = '1') then
v.address(9 downto 5) := r.address(9 downto 5) + 1;
v.address(4 downto 2) := "000"; v.casn := '0';
end if;
end if;
when rd5 =>
if r.cfg.trp = '1' then v.sdstate := rd6; else v.sdstate := sidle; v.idlecnt := (others => '1'); end if;
v.sdcsn := (others => '1'); v.rasn := '1'; v.sdwen := '1'; v.dqm := (others => '1');
v.casn := '1';
when rd6 =>
v.sdstate := sidle; v.idlecnt := (others => '1'); v.dqm := (others => '1');
v.sdcsn := (others => '1'); v.rasn := '1'; v.sdwen := '1';
when sref =>
if (startsd = '1') -- and (r.hio = '0'))
or (r.cfg.command /= "000") or r.cfg.pmode /= PM_SR then
if r.trfc = "0000" then -- Minimum duration (= tRAS)
v.cfg.cke := '1';
v.sdcsn := (others => '0'); v.rasn := '1'; v.casn := '1';
end if;
if r.cfg.cke = '1' then
if (r.idlecnt = "0000") then -- tXSR ns with NOP
v.sdstate := sidle;
v.idlecnt := (others => '1');
v.sref_tmpcom := r.cfg.command;
v.cfg.command := "100";
end if;
else
v.idlecnt := r.cfg.txsr;
end if;
end if;
when pd =>
if (startsd = '1') -- and (r.hio = '0'))
or (r.cfg.command /= "000") or r.cfg.pmode /= PM_PD then
v.cfg.cke := '1';
v.sdstate := sidle;
v.idlecnt := (others => '1');
end if;
when dpd =>
v.sdcsn := (others => '1'); v.sdwen := '1'; v.rasn := '1'; v.casn := '1';
v.cfg.renable := '0';
if (startsd = '1') then -- and r.hio = '0') then
v.hready := '1'; -- ack all accesses with Error response
v.startsd := '0';
hresp := HRESP_ERROR;
elsif r.cfg.pmode /= PM_DPD then
v.cfg.cke := '1';
if r.cfg.cke = '1' then
v.sdstate := sidle;
v.idlecnt := (others => '1');
v.cfg.renable := '1';
end if;
end if;
when others =>
v.sdstate := sidle; v.idlecnt := (others => '1');
end case;
-- sdram commands
case r.cmstate is
when midle =>
if r.sdstate = sidle then
case r.cfg.command is
when "010" => -- precharge
if (sdi.idle = '1') then
v.busy := '1';
v.sdcsn := (others => '0'); v.rasn := '0'; v.sdwen := '0';
v.address(12) := '1'; v.cmstate := active;
end if;
when "100" => -- auto-refresh
v.sdcsn := (others => '0'); v.rasn := '0'; v.casn := '0';
v.cmstate := active;
when "110" =>
if (sdi.idle = '1') then
v.busy := '1';
v.sdcsn := (others => '0'); v.rasn := '0'; v.casn := '0';
v.sdwen := '0'; v.cmstate := active;
if lineburst then
v.address(16 downto 2) := "0000010001" & r.cfg.casdel & "0011";
else
v.address(16 downto 2) := "0000010001" & r.cfg.casdel & "0111";
end if;
end if;
when "111" => -- Load Ext-Mode Reg
if (sdi.idle = '1') then
v.busy := '1';
v.sdcsn := (others => '0'); v.rasn := '0'; v.casn := '0';
v.sdwen := '0'; v.cmstate := active;
v.address(16 downto 2) := "10000000" & r.cfg.ds(1 downto 0) & r.cfg.tcsr(1 downto 0)
& r.cfg.pasr(2 downto 0);
end if;
when others => null;
end case;
end if;
when active =>
v.sdcsn := (others => '1'); v.rasn := '1'; v.casn := '1';
v.sdwen := '1'; --v.cfg.command := "000";
v.cfg.command := r.sref_tmpcom; v.sref_tmpcom := "000";
v.cmstate := leadout; v.trfc := (r.cfg.trp and r.cfg.mobileen(1)) & r.cfg.trfc;
when leadout =>
if r.trfc = "0000" then v.cmstate := midle; end if;
end case;
-- sdram init
case r.istate is
when iidle =>
v.cfg.cke := '1';
if (sdi.idle and sdi.enable) = '1' and r.cfg.cke = '1' then
v.cfg.command := "010"; v.istate := pre;
end if;
when pre =>
if r.cfg.command = "000" then
v.cfg.command := "100"; v.istate := ref; v.icnt := "111";
end if;
when ref =>
if r.cfg.command = "000" then
v.cfg.command := "100"; v.icnt := r.icnt - 1;
if r.icnt = "000" then v.istate := lmode; v.cfg.command := "110"; end if;
end if;
when lmode =>
if r.cfg.command = "000" then
if r.cfg.mobileen = "11" then
v.cfg.command := "111"; v.istate := emode;
else
v.istate := finish;
end if;
end if;
when emode =>
if r.cfg.command = "000" then
v.istate := finish;
end if;
when others =>
if sdi.enable = '0' and r.sdstate /= dpd then
v.istate := iidle;
end if;
end case;
if (sdi.hready and sdi.hsel ) = '1' then
if sdi.htrans(1) = '0' then v.hready := '1'; end if;
end if;
-- second part of main fsm
case r.mstate is
when active =>
if v.hready = '1' then
v.mstate := midle;
end if;
when others => null;
end case;
-- sdram refresh counter
if (r.cfg.renable = '1') and (r.istate = finish) and r.sdstate /= sref then
v.refresh := r.refresh - 1;
if (v.refresh(14) and not r.refresh(14)) = '1' then
v.refresh := r.cfg.refresh;
v.cfg.command := "100";
arefresh := '1';
end if;
end if;
-- APB register access
if (apbi.psel(pindex) and apbi.penable and apbi.pwrite) = '1' then
case apbi.paddr(3 downto 2) is
when "01" =>
if pageburst = 2 then v.cfg.pageburst := apbi.pwdata(17); end if;
if sdi.enable = '1' then
v.cfg.command(2 downto 1) := apbi.pwdata(20 downto 19);
end if;
v.cfg.csize := apbi.pwdata(22 downto 21);
v.cfg.bsize := apbi.pwdata(25 downto 23);
v.cfg.casdel := apbi.pwdata(26);
v.cfg.trfc := apbi.pwdata(29 downto 27);
v.cfg.trp := apbi.pwdata(30);
v.cfg.renable := apbi.pwdata(31);
when "10" =>
v.cfg.refresh := apbi.pwdata(26 downto 12);
v.refresh := (others => '0');
when "11" =>
if r.cfg.mobileen(1) = '1' and mobile /= 3 then v.cfg.mobileen(0) := apbi.pwdata(31); end if;
if r.cfg.pmode = "000" then
v.cfg.cke := apbi.pwdata(30);
end if;
if r.cfg.mobileen(1) = '1' then
if sdi.enable = '1' then
v.cfg.command(0) := apbi.pwdata(29);
end if;
v.cfg.txsr := apbi.pwdata(23 downto 20);
v.cfg.pmode := apbi.pwdata(18 downto 16);
v.cfg.ds(3 downto 2) := apbi.pwdata( 6 downto 5);
v.cfg.tcsr(3 downto 2) := apbi.pwdata( 4 downto 3);
v.cfg.pasr(5 downto 3) := apbi.pwdata( 2 downto 0);
end if;
when others =>
end case;
end if;
-- Disable CS and DPD when Mobile SDR is Disabled
if r.cfg.mobileen(0) = '0' then v.cfg.pmode(2) := '0'; end if;
-- Update EMR when ds, tcsr or pasr change
if r.cfg.command = "000" and arefresh = '0' and r.cfg.mobileen(0) = '1' then
if r.cfg.ds(1 downto 0) /= r.cfg.ds(3 downto 2) then
v.cfg.command := "111"; v.cfg.ds(1 downto 0) := r.cfg.ds(3 downto 2);
end if;
if r.cfg.tcsr(1 downto 0) /= r.cfg.tcsr(3 downto 2) then
v.cfg.command := "111"; v.cfg.tcsr(1 downto 0) := r.cfg.tcsr(3 downto 2);
end if;
if r.cfg.pasr(2 downto 0) /= r.cfg.pasr(5 downto 3) then
v.cfg.command := "111"; v.cfg.pasr(2 downto 0) := r.cfg.pasr(5 downto 3);
end if;
end if;
regsd := (others => '0');
case apbi.paddr(3 downto 2) is
when "01" =>
regsd(31 downto 19) := r.cfg.renable & r.cfg.trp & r.cfg.trfc &
r.cfg.casdel & r.cfg.bsize & r.cfg.csize & r.cfg.command(2 downto 1);
if not lineburst then regsd(17) := '1'; end if;
regsd(16) := r.cfg.mobileen(1);
when "11" =>
regsd(31) := r.cfg.mobileen(0);
regsd(30) := r.cfg.cke;
regsd(30) := r.cfg.command(0);
regsd(23 downto 0) := r.cfg.txsr & '0' & r.cfg.pmode & "000000000" &
r.cfg.ds(1 downto 0) & r.cfg.tcsr(1 downto 0) & r.cfg.pasr(2 downto 0);
when others =>
regsd(26 downto 12) := r.cfg.refresh;
end case;
sdmo.prdata <= regsd;
-- synchronise with sram/prom controller
if fast = 0 then
if (r.sdstate < wr4) or (v.hsel = '1') then v.busy := '1';end if;
else
if (r.sdstate < wr4) or (r.startsd = '1') then v.busy := '1';end if;
end if;
v.busy := v.busy or r.bdelay;
busy := v.busy or r.busy;
v.aload := r.busy and not v.busy;
aload := v.aload;
-- generate memory address
sdmo.address <= v.address;
-- reset
if rst = '0' then
v.sdstate := sidle;
v.mstate := midle;
v.istate := iidle;
v.cmstate := midle;
v.hsel := '0';
v.cfg.command := "000";
v.cfg.csize := "10";
v.cfg.bsize := "000";
v.cfg.casdel := '1';
v.cfg.trfc := "111";
v.cfg.renable := '0';
v.cfg.trp := '1';
v.dqm := (others => '1');
v.sdwen := '1';
v.rasn := '1';
v.casn := '1';
v.hready := '1';
v.startsd := '0';
if (pageburst = 2) then
v.cfg.pageburst := '0';
end if;
if mobile >= 2 then v.cfg.mobileen := "11";
elsif mobile = 1 then v.cfg.mobileen := "10";
else v.cfg.mobileen := "00"; end if;
v.cfg.txsr := (others => '1');
v.cfg.pmode := (others => '0');
v.cfg.ds := (others => '0');
v.cfg.tcsr := (others => '0');
v.cfg.pasr := (others => '0');
if mobile >= 2 then v.cfg.cke := '0';
else v.cfg.cke := '1'; end if;
v.sref_tmpcom := "000";
v.idlecnt := (others => '1');
end if;
ri <= v;
sdmo.bdrive <= v.bdrive;
--sdo.sdcke <= (others => '1');
sdo.sdcke <= (others => r.cfg.cke);
sdo.sdcsn <= r.sdcsn;
sdo.sdwen <= r.sdwen;
sdo.dqm <= r.dqm;
sdo.rasn <= r.rasn;
sdo.casn <= r.casn;
sdmo.busy <= busy;
sdmo.aload <= aload;
sdmo.hready <= r.hready;
sdmo.vhready <= v.hready;
sdmo.hresp <= hresp;
sdmo.hsel <= r.hsel;
sdmo.bsel <= r.bsel;
end process;
regs : process(clk,rst)
begin
if rising_edge(clk) then
r <= ri;
if rst = '0' then
r.icnt <= (others => '0');
end if;
end if;
if rst = '0' then
r.bdrive <= '0';
r.sdcsn <= (others => '1');
end if;
end process;
end;
|
-- 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: tc1018.vhd,v 1.2 2001-10-26 16:30:05 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c06s03b00x00p10n01i01018ent IS
port (p : in bit);
END c06s03b00x00p10n01i01018ent;
ARCHITECTURE c06s03b00x00p10n01i01018arch OF c06s03b00x00p10n01i01018ent IS
BEGIN
b1 : block
type chars is ('a','b','c');
signal bs1 : BIT;
begin
B2: block
signal bs2 : BIT;
begin
process
begin
NULL;
end process;
b3 : block
signal bs3a : BIT;
signal bs3b : BIT;
begin
bs3b <= B1.bs2;
-- ERROR: Entity defined by selected
-- suffix not declared within construct
-- denoted by selected prefix.
end block b3;
end block B2;
end block b1;
TESTING: PROCESS
BEGIN
assert FALSE
report "***FAILED TEST: c06s03b00x00p10n01i01018 - Entity declaration does not occur in construct specifed by the prefix."
severity ERROR;
wait;
END PROCESS TESTING;
END c06s03b00x00p10n01i01018arch;
|
-- 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: tc1018.vhd,v 1.2 2001-10-26 16:30:05 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c06s03b00x00p10n01i01018ent IS
port (p : in bit);
END c06s03b00x00p10n01i01018ent;
ARCHITECTURE c06s03b00x00p10n01i01018arch OF c06s03b00x00p10n01i01018ent IS
BEGIN
b1 : block
type chars is ('a','b','c');
signal bs1 : BIT;
begin
B2: block
signal bs2 : BIT;
begin
process
begin
NULL;
end process;
b3 : block
signal bs3a : BIT;
signal bs3b : BIT;
begin
bs3b <= B1.bs2;
-- ERROR: Entity defined by selected
-- suffix not declared within construct
-- denoted by selected prefix.
end block b3;
end block B2;
end block b1;
TESTING: PROCESS
BEGIN
assert FALSE
report "***FAILED TEST: c06s03b00x00p10n01i01018 - Entity declaration does not occur in construct specifed by the prefix."
severity ERROR;
wait;
END PROCESS TESTING;
END c06s03b00x00p10n01i01018arch;
|
-- 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: tc1018.vhd,v 1.2 2001-10-26 16:30:05 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c06s03b00x00p10n01i01018ent IS
port (p : in bit);
END c06s03b00x00p10n01i01018ent;
ARCHITECTURE c06s03b00x00p10n01i01018arch OF c06s03b00x00p10n01i01018ent IS
BEGIN
b1 : block
type chars is ('a','b','c');
signal bs1 : BIT;
begin
B2: block
signal bs2 : BIT;
begin
process
begin
NULL;
end process;
b3 : block
signal bs3a : BIT;
signal bs3b : BIT;
begin
bs3b <= B1.bs2;
-- ERROR: Entity defined by selected
-- suffix not declared within construct
-- denoted by selected prefix.
end block b3;
end block B2;
end block b1;
TESTING: PROCESS
BEGIN
assert FALSE
report "***FAILED TEST: c06s03b00x00p10n01i01018 - Entity declaration does not occur in construct specifed by the prefix."
severity ERROR;
wait;
END PROCESS TESTING;
END c06s03b00x00p10n01i01018arch;
|
-- $Id: sys_conf2_sim.vhd 1181 2019-07-08 17:00:50Z mueller $
-- SPDX-License-Identifier: GPL-3.0-or-later
-- Copyright 2017- by Walter F.J. Mueller <W.F.J.Mueller@gsi.de>
--
------------------------------------------------------------------------------
-- Package Name: sys_conf
-- Description: Definitions for sys_tst_serloop2_n4d (for test bench)
--
-- Dependencies: -
-- Tool versions: 2016.2; ghdl 0.33
-- Revision History:
-- Date Rev Version Comment
-- 2017-01-04 838 1.0 Initial version
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use work.slvtypes.all;
package sys_conf is
-- in simulation a usec stays to 120 cycles (1.0 usec) and a msec to
-- 240 cycles (2 usec). This affects mainly the autobauder. A break will be
-- detected after 128 msec periods, this in simulation after 256 usec or
-- 30720 cycles. This is compatible with bitrates of 115200 baud or higher
-- (115200 <-> 8.68 usec <-> 1040 cycles)
-- configure clocks --------------------------------------------------------
constant sys_conf_clksys_vcodivide : positive := 5; -- f 20 Mhz
constant sys_conf_clksys_vcomultiply : positive := 36; -- vco 720 MHz
constant sys_conf_clksys_outdivide : positive := 10; -- sys 72 MHz
constant sys_conf_clksys_gentype : string := "MMCM";
constant sys_conf_clksys_msecdiv : integer := 2; -- shortened !!
constant sys_conf_clkser_vcodivide : positive := 1;
constant sys_conf_clkser_vcomultiply : positive := 12; -- vco 1200 MHz
constant sys_conf_clkser_outdivide : positive := 10; -- sys 120 MHz
constant sys_conf_clkser_gentype : string := "PLL";
constant sys_conf_clkser_msecdiv : integer := 2; -- shortened !!
-- configure hio interfaces -----------------------------------------------
constant sys_conf_hio_debounce : boolean := false; -- no debouncers
-- configure serport ------------------------------------------------------
constant sys_conf_uart_cdinit : integer := 1-1; -- 1 cycle/bit in sim
-- derived constants =======================================================
constant sys_conf_clksys : integer :=
((100000000/sys_conf_clksys_vcodivide)*sys_conf_clksys_vcomultiply) /
sys_conf_clksys_outdivide;
constant sys_conf_clksys_mhz : integer := sys_conf_clksys/1000000;
constant sys_conf_clkser : integer :=
((100000000/sys_conf_clkser_vcodivide)*sys_conf_clkser_vcomultiply) /
sys_conf_clkser_outdivide;
constant sys_conf_clkser_mhz : integer := sys_conf_clkser/1000000;
end package sys_conf;
|
library ieee;
use ieee.std_logic_1164.all;
use work.arch_defs.all;
entity linkMux is
port (
Link : in ctrl_t;
pc : in word_t;
memToRegMux: in word_t;
output: out word_t
);
end entity;
architecture behav of linkMux is
begin
output <= pc when Link = '1' else memToRegMux;
end architecture behav;
|
library ieee;
use ieee.std_logic_1164.all;
library ieee;
use ieee.numeric_std.all;
entity sub_345 is
port (
result : out std_logic_vector(31 downto 0);
in_a : in std_logic_vector(31 downto 0);
in_b : in std_logic_vector(31 downto 0)
);
end sub_345;
architecture augh of sub_345 is
signal carry_inA : std_logic_vector(33 downto 0);
signal carry_inB : std_logic_vector(33 downto 0);
signal carry_res : std_logic_vector(33 downto 0);
begin
-- To handle the CI input, the operation is '0' - CI
-- If CI is not present, the operation is '0' - '0'
carry_inA <= '0' & in_a & '0';
carry_inB <= '0' & in_b & '0';
-- Compute the result
carry_res <= std_logic_vector(unsigned(carry_inA) - unsigned(carry_inB));
-- Set the outputs
result <= carry_res(32 downto 1);
end architecture;
|
library ieee;
use ieee.std_logic_1164.all;
library ieee;
use ieee.numeric_std.all;
entity sub_345 is
port (
result : out std_logic_vector(31 downto 0);
in_a : in std_logic_vector(31 downto 0);
in_b : in std_logic_vector(31 downto 0)
);
end sub_345;
architecture augh of sub_345 is
signal carry_inA : std_logic_vector(33 downto 0);
signal carry_inB : std_logic_vector(33 downto 0);
signal carry_res : std_logic_vector(33 downto 0);
begin
-- To handle the CI input, the operation is '0' - CI
-- If CI is not present, the operation is '0' - '0'
carry_inA <= '0' & in_a & '0';
carry_inB <= '0' & in_b & '0';
-- Compute the result
carry_res <= std_logic_vector(unsigned(carry_inA) - unsigned(carry_inB));
-- Set the outputs
result <= carry_res(32 downto 1);
end architecture;
|
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved.
-- --------------------------------------------------------------------------------
-- Tool Version: Vivado v.2016.4 (win64) Build 1733598 Wed Dec 14 22:35:39 MST 2016
-- Date : Sun Apr 09 09:37:58 2017
-- Host : GILAMONSTER running 64-bit major release (build 9200)
-- Command : write_vhdl -force -mode funcsim
-- C:/ZyboIP/examples/ov7670_hessian_split/ov7670_hessian_split.srcs/sources_1/bd/system/ip/system_vga_sync_0_0/system_vga_sync_0_0_sim_netlist.vhdl
-- Design : system_vga_sync_0_0
-- Purpose : This VHDL netlist is a functional simulation representation of the design and should not be modified or
-- synthesized. This netlist cannot be used for SDF annotated simulation.
-- Device : xc7z020clg484-1
-- --------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity system_vga_sync_0_0_vga_sync is
port (
xaddr : out STD_LOGIC_VECTOR ( 9 downto 0 );
yaddr : out STD_LOGIC_VECTOR ( 9 downto 0 );
hsync : out STD_LOGIC;
vsync : out STD_LOGIC;
active : out STD_LOGIC;
clk_25 : in STD_LOGIC;
rst : in STD_LOGIC
);
attribute ORIG_REF_NAME : string;
attribute ORIG_REF_NAME of system_vga_sync_0_0_vga_sync : entity is "vga_sync";
end system_vga_sync_0_0_vga_sync;
architecture STRUCTURE of system_vga_sync_0_0_vga_sync is
signal active_INST_0_i_1_n_0 : STD_LOGIC;
signal h_count_next : STD_LOGIC_VECTOR ( 9 downto 0 );
signal \h_count_reg[4]_i_1_n_0\ : STD_LOGIC;
signal \h_count_reg[5]_i_2_n_0\ : STD_LOGIC;
signal \h_count_reg[9]_i_2_n_0\ : STD_LOGIC;
signal \h_count_reg[9]_i_3_n_0\ : STD_LOGIC;
signal \h_count_reg[9]_i_4_n_0\ : STD_LOGIC;
signal h_sync_next : STD_LOGIC;
signal p_0_in : STD_LOGIC_VECTOR ( 9 downto 0 );
signal sel : STD_LOGIC;
signal \v_count_reg[3]_i_2_n_0\ : STD_LOGIC;
signal \v_count_reg[6]_i_1_n_0\ : STD_LOGIC;
signal \v_count_reg[9]_i_3_n_0\ : STD_LOGIC;
signal \v_count_reg[9]_i_4_n_0\ : STD_LOGIC;
signal \v_count_reg[9]_i_5_n_0\ : STD_LOGIC;
signal v_sync_next : STD_LOGIC;
signal \^xaddr\ : STD_LOGIC_VECTOR ( 9 downto 0 );
signal \^yaddr\ : STD_LOGIC_VECTOR ( 9 downto 0 );
attribute SOFT_HLUTNM : string;
attribute SOFT_HLUTNM of active_INST_0_i_1 : label is "soft_lutpair3";
attribute SOFT_HLUTNM of \h_count_reg[1]_i_1\ : label is "soft_lutpair6";
attribute SOFT_HLUTNM of \h_count_reg[2]_i_1\ : label is "soft_lutpair6";
attribute SOFT_HLUTNM of \h_count_reg[3]_i_1\ : label is "soft_lutpair4";
attribute SOFT_HLUTNM of \h_count_reg[4]_i_1\ : label is "soft_lutpair1";
attribute SOFT_HLUTNM of \h_count_reg[5]_i_2\ : label is "soft_lutpair1";
attribute SOFT_HLUTNM of \h_count_reg[6]_i_1\ : label is "soft_lutpair2";
attribute SOFT_HLUTNM of \h_count_reg[7]_i_1\ : label is "soft_lutpair2";
attribute SOFT_HLUTNM of \h_count_reg[9]_i_3\ : label is "soft_lutpair4";
attribute SOFT_HLUTNM of \v_count_reg[1]_i_1\ : label is "soft_lutpair7";
attribute SOFT_HLUTNM of \v_count_reg[3]_i_2\ : label is "soft_lutpair7";
attribute SOFT_HLUTNM of \v_count_reg[4]_i_1\ : label is "soft_lutpair0";
attribute SOFT_HLUTNM of \v_count_reg[6]_i_1\ : label is "soft_lutpair5";
attribute SOFT_HLUTNM of \v_count_reg[7]_i_1\ : label is "soft_lutpair5";
attribute SOFT_HLUTNM of \v_count_reg[8]_i_1\ : label is "soft_lutpair3";
attribute SOFT_HLUTNM of \v_count_reg[9]_i_5\ : label is "soft_lutpair0";
begin
xaddr(9 downto 0) <= \^xaddr\(9 downto 0);
yaddr(9 downto 0) <= \^yaddr\(9 downto 0);
active_INST_0: unisim.vcomponents.LUT5
generic map(
INIT => X"000002AA"
)
port map (
I0 => active_INST_0_i_1_n_0,
I1 => \^xaddr\(8),
I2 => \^xaddr\(7),
I3 => \^xaddr\(9),
I4 => \^yaddr\(9),
O => active
);
active_INST_0_i_1: unisim.vcomponents.LUT4
generic map(
INIT => X"7FFF"
)
port map (
I0 => \^yaddr\(6),
I1 => \^yaddr\(5),
I2 => \^yaddr\(7),
I3 => \^yaddr\(8),
O => active_INST_0_i_1_n_0
);
\h_count_reg[0]_i_1\: unisim.vcomponents.LUT1
generic map(
INIT => X"1"
)
port map (
I0 => \^xaddr\(0),
O => h_count_next(0)
);
\h_count_reg[1]_i_1\: unisim.vcomponents.LUT2
generic map(
INIT => X"6"
)
port map (
I0 => \^xaddr\(0),
I1 => \^xaddr\(1),
O => h_count_next(1)
);
\h_count_reg[2]_i_1\: unisim.vcomponents.LUT3
generic map(
INIT => X"78"
)
port map (
I0 => \^xaddr\(0),
I1 => \^xaddr\(1),
I2 => \^xaddr\(2),
O => h_count_next(2)
);
\h_count_reg[3]_i_1\: unisim.vcomponents.LUT4
generic map(
INIT => X"6AAA"
)
port map (
I0 => \^xaddr\(3),
I1 => \^xaddr\(0),
I2 => \^xaddr\(1),
I3 => \^xaddr\(2),
O => h_count_next(3)
);
\h_count_reg[4]_i_1\: unisim.vcomponents.LUT5
generic map(
INIT => X"6AAAAAAA"
)
port map (
I0 => \^xaddr\(4),
I1 => \^xaddr\(2),
I2 => \^xaddr\(1),
I3 => \^xaddr\(0),
I4 => \^xaddr\(3),
O => \h_count_reg[4]_i_1_n_0\
);
\h_count_reg[5]_i_1\: unisim.vcomponents.LUT6
generic map(
INIT => X"FFFF00000000FFBF"
)
port map (
I0 => \^xaddr\(6),
I1 => \^xaddr\(8),
I2 => \^xaddr\(9),
I3 => \^xaddr\(7),
I4 => \h_count_reg[5]_i_2_n_0\,
I5 => \^xaddr\(5),
O => h_count_next(5)
);
\h_count_reg[5]_i_2\: unisim.vcomponents.LUT5
generic map(
INIT => X"7FFFFFFF"
)
port map (
I0 => \^xaddr\(2),
I1 => \^xaddr\(1),
I2 => \^xaddr\(0),
I3 => \^xaddr\(3),
I4 => \^xaddr\(4),
O => \h_count_reg[5]_i_2_n_0\
);
\h_count_reg[6]_i_1\: unisim.vcomponents.LUT4
generic map(
INIT => X"AA6A"
)
port map (
I0 => \^xaddr\(6),
I1 => \^xaddr\(4),
I2 => \^xaddr\(5),
I3 => \h_count_reg[9]_i_3_n_0\,
O => h_count_next(6)
);
\h_count_reg[7]_i_1\: unisim.vcomponents.LUT5
generic map(
INIT => X"9AAAAAAA"
)
port map (
I0 => \^xaddr\(7),
I1 => \h_count_reg[9]_i_3_n_0\,
I2 => \^xaddr\(5),
I3 => \^xaddr\(4),
I4 => \^xaddr\(6),
O => h_count_next(7)
);
\h_count_reg[8]_i_1\: unisim.vcomponents.LUT5
generic map(
INIT => X"FF0B00B0"
)
port map (
I0 => \h_count_reg[9]_i_2_n_0\,
I1 => \^xaddr\(4),
I2 => \h_count_reg[9]_i_4_n_0\,
I3 => \h_count_reg[9]_i_3_n_0\,
I4 => \^xaddr\(8),
O => h_count_next(8)
);
\h_count_reg[9]_i_1\: unisim.vcomponents.LUT6
generic map(
INIT => X"F0FBFBFB0B000000"
)
port map (
I0 => \h_count_reg[9]_i_2_n_0\,
I1 => \^xaddr\(4),
I2 => \h_count_reg[9]_i_3_n_0\,
I3 => \h_count_reg[9]_i_4_n_0\,
I4 => \^xaddr\(8),
I5 => \^xaddr\(9),
O => h_count_next(9)
);
\h_count_reg[9]_i_2\: unisim.vcomponents.LUT5
generic map(
INIT => X"FFFFEFFF"
)
port map (
I0 => \^xaddr\(6),
I1 => \^xaddr\(5),
I2 => \^xaddr\(8),
I3 => \^xaddr\(9),
I4 => \^xaddr\(7),
O => \h_count_reg[9]_i_2_n_0\
);
\h_count_reg[9]_i_3\: unisim.vcomponents.LUT4
generic map(
INIT => X"7FFF"
)
port map (
I0 => \^xaddr\(3),
I1 => \^xaddr\(0),
I2 => \^xaddr\(1),
I3 => \^xaddr\(2),
O => \h_count_reg[9]_i_3_n_0\
);
\h_count_reg[9]_i_4\: unisim.vcomponents.LUT4
generic map(
INIT => X"8000"
)
port map (
I0 => \^xaddr\(7),
I1 => \^xaddr\(6),
I2 => \^xaddr\(5),
I3 => \^xaddr\(4),
O => \h_count_reg[9]_i_4_n_0\
);
\h_count_reg_reg[0]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => '1',
CLR => rst,
D => h_count_next(0),
Q => \^xaddr\(0)
);
\h_count_reg_reg[1]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => '1',
CLR => rst,
D => h_count_next(1),
Q => \^xaddr\(1)
);
\h_count_reg_reg[2]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => '1',
CLR => rst,
D => h_count_next(2),
Q => \^xaddr\(2)
);
\h_count_reg_reg[3]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => '1',
CLR => rst,
D => h_count_next(3),
Q => \^xaddr\(3)
);
\h_count_reg_reg[4]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => '1',
CLR => rst,
D => \h_count_reg[4]_i_1_n_0\,
Q => \^xaddr\(4)
);
\h_count_reg_reg[5]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => '1',
CLR => rst,
D => h_count_next(5),
Q => \^xaddr\(5)
);
\h_count_reg_reg[6]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => '1',
CLR => rst,
D => h_count_next(6),
Q => \^xaddr\(6)
);
\h_count_reg_reg[7]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => '1',
CLR => rst,
D => h_count_next(7),
Q => \^xaddr\(7)
);
\h_count_reg_reg[8]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => '1',
CLR => rst,
D => h_count_next(8),
Q => \^xaddr\(8)
);
\h_count_reg_reg[9]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => '1',
CLR => rst,
D => h_count_next(9),
Q => \^xaddr\(9)
);
h_sync_reg_i_1: unisim.vcomponents.LUT6
generic map(
INIT => X"00002AA800000000"
)
port map (
I0 => \^xaddr\(7),
I1 => \^xaddr\(6),
I2 => \^xaddr\(5),
I3 => \^xaddr\(4),
I4 => \^xaddr\(8),
I5 => \^xaddr\(9),
O => h_sync_next
);
h_sync_reg_reg: unisim.vcomponents.FDPE
generic map(
INIT => '0'
)
port map (
C => clk_25,
CE => '1',
D => h_sync_next,
PRE => rst,
Q => hsync
);
\v_count_reg[0]_i_1\: unisim.vcomponents.LUT6
generic map(
INIT => X"5555555545555555"
)
port map (
I0 => \^yaddr\(0),
I1 => \v_count_reg[9]_i_4_n_0\,
I2 => \^yaddr\(9),
I3 => \^yaddr\(2),
I4 => \^yaddr\(3),
I5 => \^yaddr\(7),
O => p_0_in(0)
);
\v_count_reg[1]_i_1\: unisim.vcomponents.LUT2
generic map(
INIT => X"6"
)
port map (
I0 => \^yaddr\(0),
I1 => \^yaddr\(1),
O => p_0_in(1)
);
\v_count_reg[2]_i_1\: unisim.vcomponents.LUT6
generic map(
INIT => X"55AA55AA45AA55AA"
)
port map (
I0 => \v_count_reg[3]_i_2_n_0\,
I1 => \v_count_reg[9]_i_4_n_0\,
I2 => \^yaddr\(9),
I3 => \^yaddr\(2),
I4 => \^yaddr\(3),
I5 => \^yaddr\(7),
O => p_0_in(2)
);
\v_count_reg[3]_i_1\: unisim.vcomponents.LUT6
generic map(
INIT => X"55FFAA0045FFAA00"
)
port map (
I0 => \v_count_reg[3]_i_2_n_0\,
I1 => \v_count_reg[9]_i_4_n_0\,
I2 => \^yaddr\(9),
I3 => \^yaddr\(2),
I4 => \^yaddr\(3),
I5 => \^yaddr\(7),
O => p_0_in(3)
);
\v_count_reg[3]_i_2\: unisim.vcomponents.LUT2
generic map(
INIT => X"8"
)
port map (
I0 => \^yaddr\(0),
I1 => \^yaddr\(1),
O => \v_count_reg[3]_i_2_n_0\
);
\v_count_reg[4]_i_1\: unisim.vcomponents.LUT5
generic map(
INIT => X"6AAAAAAA"
)
port map (
I0 => \^yaddr\(4),
I1 => \^yaddr\(2),
I2 => \^yaddr\(3),
I3 => \^yaddr\(0),
I4 => \^yaddr\(1),
O => p_0_in(4)
);
\v_count_reg[5]_i_1\: unisim.vcomponents.LUT6
generic map(
INIT => X"6AAAAAAAAAAAAAAA"
)
port map (
I0 => \^yaddr\(5),
I1 => \^yaddr\(1),
I2 => \^yaddr\(0),
I3 => \^yaddr\(3),
I4 => \^yaddr\(2),
I5 => \^yaddr\(4),
O => p_0_in(5)
);
\v_count_reg[6]_i_1\: unisim.vcomponents.LUT3
generic map(
INIT => X"6A"
)
port map (
I0 => \^yaddr\(6),
I1 => \v_count_reg[9]_i_5_n_0\,
I2 => \^yaddr\(5),
O => \v_count_reg[6]_i_1_n_0\
);
\v_count_reg[7]_i_1\: unisim.vcomponents.LUT4
generic map(
INIT => X"6AAA"
)
port map (
I0 => \^yaddr\(7),
I1 => \^yaddr\(5),
I2 => \v_count_reg[9]_i_5_n_0\,
I3 => \^yaddr\(6),
O => p_0_in(7)
);
\v_count_reg[8]_i_1\: unisim.vcomponents.LUT5
generic map(
INIT => X"6AAAAAAA"
)
port map (
I0 => \^yaddr\(8),
I1 => \^yaddr\(6),
I2 => \v_count_reg[9]_i_5_n_0\,
I3 => \^yaddr\(5),
I4 => \^yaddr\(7),
O => p_0_in(8)
);
\v_count_reg[9]_i_1\: unisim.vcomponents.LUT6
generic map(
INIT => X"0000000000001000"
)
port map (
I0 => \^xaddr\(6),
I1 => \^xaddr\(5),
I2 => \^xaddr\(8),
I3 => \^xaddr\(9),
I4 => \^xaddr\(7),
I5 => \h_count_reg[5]_i_2_n_0\,
O => sel
);
\v_count_reg[9]_i_2\: unisim.vcomponents.LUT5
generic map(
INIT => X"D0D00DD0"
)
port map (
I0 => \v_count_reg[9]_i_3_n_0\,
I1 => \v_count_reg[9]_i_4_n_0\,
I2 => \^yaddr\(9),
I3 => \v_count_reg[9]_i_5_n_0\,
I4 => active_INST_0_i_1_n_0,
O => p_0_in(9)
);
\v_count_reg[9]_i_3\: unisim.vcomponents.LUT4
generic map(
INIT => X"0080"
)
port map (
I0 => \^yaddr\(9),
I1 => \^yaddr\(2),
I2 => \^yaddr\(3),
I3 => \^yaddr\(7),
O => \v_count_reg[9]_i_3_n_0\
);
\v_count_reg[9]_i_4\: unisim.vcomponents.LUT6
generic map(
INIT => X"FFFFFFFFFFFFFFFE"
)
port map (
I0 => \^yaddr\(1),
I1 => \^yaddr\(0),
I2 => \^yaddr\(6),
I3 => \^yaddr\(8),
I4 => \^yaddr\(4),
I5 => \^yaddr\(5),
O => \v_count_reg[9]_i_4_n_0\
);
\v_count_reg[9]_i_5\: unisim.vcomponents.LUT5
generic map(
INIT => X"80000000"
)
port map (
I0 => \^yaddr\(4),
I1 => \^yaddr\(2),
I2 => \^yaddr\(3),
I3 => \^yaddr\(0),
I4 => \^yaddr\(1),
O => \v_count_reg[9]_i_5_n_0\
);
\v_count_reg_reg[0]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => sel,
CLR => rst,
D => p_0_in(0),
Q => \^yaddr\(0)
);
\v_count_reg_reg[1]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => sel,
CLR => rst,
D => p_0_in(1),
Q => \^yaddr\(1)
);
\v_count_reg_reg[2]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => sel,
CLR => rst,
D => p_0_in(2),
Q => \^yaddr\(2)
);
\v_count_reg_reg[3]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => sel,
CLR => rst,
D => p_0_in(3),
Q => \^yaddr\(3)
);
\v_count_reg_reg[4]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => sel,
CLR => rst,
D => p_0_in(4),
Q => \^yaddr\(4)
);
\v_count_reg_reg[5]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => sel,
CLR => rst,
D => p_0_in(5),
Q => \^yaddr\(5)
);
\v_count_reg_reg[6]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => sel,
CLR => rst,
D => \v_count_reg[6]_i_1_n_0\,
Q => \^yaddr\(6)
);
\v_count_reg_reg[7]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => sel,
CLR => rst,
D => p_0_in(7),
Q => \^yaddr\(7)
);
\v_count_reg_reg[8]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => sel,
CLR => rst,
D => p_0_in(8),
Q => \^yaddr\(8)
);
\v_count_reg_reg[9]\: unisim.vcomponents.FDCE
port map (
C => clk_25,
CE => sel,
CLR => rst,
D => p_0_in(9),
Q => \^yaddr\(9)
);
v_sync_reg_i_1: unisim.vcomponents.LUT6
generic map(
INIT => X"0000000000040000"
)
port map (
I0 => \^yaddr\(9),
I1 => \^yaddr\(3),
I2 => \^yaddr\(4),
I3 => \^yaddr\(2),
I4 => \^yaddr\(1),
I5 => active_INST_0_i_1_n_0,
O => v_sync_next
);
v_sync_reg_reg: unisim.vcomponents.FDPE
generic map(
INIT => '0'
)
port map (
C => clk_25,
CE => '1',
D => v_sync_next,
PRE => rst,
Q => vsync
);
end STRUCTURE;
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity system_vga_sync_0_0 is
port (
clk_25 : in STD_LOGIC;
rst : in STD_LOGIC;
active : out STD_LOGIC;
hsync : out STD_LOGIC;
vsync : out STD_LOGIC;
xaddr : out STD_LOGIC_VECTOR ( 9 downto 0 );
yaddr : out STD_LOGIC_VECTOR ( 9 downto 0 )
);
attribute NotValidForBitStream : boolean;
attribute NotValidForBitStream of system_vga_sync_0_0 : entity is true;
attribute CHECK_LICENSE_TYPE : string;
attribute CHECK_LICENSE_TYPE of system_vga_sync_0_0 : entity is "system_vga_sync_0_0,vga_sync,{}";
attribute downgradeipidentifiedwarnings : string;
attribute downgradeipidentifiedwarnings of system_vga_sync_0_0 : entity is "yes";
attribute x_core_info : string;
attribute x_core_info of system_vga_sync_0_0 : entity is "vga_sync,Vivado 2016.4";
end system_vga_sync_0_0;
architecture STRUCTURE of system_vga_sync_0_0 is
begin
U0: entity work.system_vga_sync_0_0_vga_sync
port map (
active => active,
clk_25 => clk_25,
hsync => hsync,
rst => rst,
vsync => vsync,
xaddr(9 downto 0) => xaddr(9 downto 0),
yaddr(9 downto 0) => yaddr(9 downto 0)
);
end STRUCTURE;
|
-- 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: tc1592.vhd,v 1.2 2001-10-26 16:30:11 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c08s11b00x00p03n01i01592ent IS
END c08s11b00x00p03n01i01592ent;
ARCHITECTURE c08s11b00x00p03n01i01592arch OF c08s11b00x00p03n01i01592ent IS
BEGIN
TESTING: PROCESS
BEGIN
for i in 1 to 10 loop
exit L;
end loop;
assert FALSE
report "***FAILED TEST: c08s11b00x00p03n01i01592 - A loop label is not allowed in an exit statement which is in an unlabeled loop"
severity ERROR;
wait;
END PROCESS TESTING;
END c08s11b00x00p03n01i01592arch;
|
-- 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: tc1592.vhd,v 1.2 2001-10-26 16:30:11 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c08s11b00x00p03n01i01592ent IS
END c08s11b00x00p03n01i01592ent;
ARCHITECTURE c08s11b00x00p03n01i01592arch OF c08s11b00x00p03n01i01592ent IS
BEGIN
TESTING: PROCESS
BEGIN
for i in 1 to 10 loop
exit L;
end loop;
assert FALSE
report "***FAILED TEST: c08s11b00x00p03n01i01592 - A loop label is not allowed in an exit statement which is in an unlabeled loop"
severity ERROR;
wait;
END PROCESS TESTING;
END c08s11b00x00p03n01i01592arch;
|
-- 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: tc1592.vhd,v 1.2 2001-10-26 16:30:11 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c08s11b00x00p03n01i01592ent IS
END c08s11b00x00p03n01i01592ent;
ARCHITECTURE c08s11b00x00p03n01i01592arch OF c08s11b00x00p03n01i01592ent IS
BEGIN
TESTING: PROCESS
BEGIN
for i in 1 to 10 loop
exit L;
end loop;
assert FALSE
report "***FAILED TEST: c08s11b00x00p03n01i01592 - A loop label is not allowed in an exit statement which is in an unlabeled loop"
severity ERROR;
wait;
END PROCESS TESTING;
END c08s11b00x00p03n01i01592arch;
|
-- file: i_fetch_test_stream_instr_stream_pkg.vhd (version: i_fetch_test_stream_instr_stream_pkg_non_aligned_branches.vhd)
-- Written by Gandhi Puvvada
-- date of last rivision: 7/23/2008
--
-- A package file to define the instruction stream to be placed in the instr_cache.
-- This package, "instr_stream_pkg", is refered in a use clause in the inst_cache_sprom module.
-- We will use several files similar to this containining different instruction streams.
-- The package name will remain the same, namely instr_stream_pkg.
-- Only the file name changes from, say i_fetch_test_stream_instr_stream_pkg.vhd
-- to say mult_test_stream_instr_stream_pkg.vhd.
-- Depending on which instr_stream_pkg file was analysed/compiled most recently,
-- that stream will be used for simulation/synthesis.
----------------------------------------------------------
library std, ieee;
use ieee.std_logic_1164.all;
package instr_stream_pkg is
constant DATA_WIDTH_CONSTANT : integer := 128; -- data width of of our cache
constant ADDR_WIDTH_CONSTANT : integer := 6; -- address width of our cache
-- type declarations
type mem_type is array (0 to (2**ADDR_WIDTH_CONSTANT)-1) of std_logic_vector((DATA_WIDTH_CONSTANT-1) downto 0);
---------------------------------------------------
---------------------------------------------------
-- All instructions are div $2 $3 $2
---------------------------------------------------
---------------------------------------------------
signal mem : mem_type :=
(X"0062101B_0062101B_0062101B_0062101B", -- Loc 0C, 08, 04, 00
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1C, 18, 14, 10
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2C, 28, 24, 20
X"0062101B_0062101B_0062101B_0062101B", -- Loc 3C, 38, 34, 30
X"0062101B_0062101B_0062101B_0062101B", -- Loc 4C, 48, 44, 40
X"0062101B_0062101B_0062101B_0062101B", -- Loc 5C, 58, 54, 50
X"0062101B_0062101B_0062101B_0062101B", -- Loc 6C, 68, 64, 60
X"0062101B_0062101B_0062101B_0062101B", -- Loc 7C, 78, 74, 70
X"0062101B_0062101B_0062101B_0062101B", -- Loc 8C, 88, 84, 80
X"0062101B_0062101B_0062101B_0062101B", -- Loc 9C, 98, 94, 90
X"0062101B_0062101B_0062101B_0062101B", -- Loc AC, A8, A4, A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc BC, B8, B4, B0
X"0062101B_0062101B_0062101B_0062101B", -- Loc CC, C8, C4, C0
X"0062101B_0062101B_0062101B_0062101B", -- Loc DC, D8, D4, D0
X"0062101B_0062101B_0062101B_0062101B", -- Loc EC, E8, E4, E0
X"0062101B_0062101B_0062101B_0062101B", -- Loc FC, F8, F4, F0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 10C, 108, 104, 100
X"0062101B_0062101B_0062101B_0062101B", -- Loc 11C, 118, 114, 110
X"0062101B_0062101B_0062101B_0062101B", -- Loc 12C, 128, 124, 120
X"0062101B_0062101B_0062101B_0062101B", -- Loc 13C, 138, 134, 130
X"0062101B_0062101B_0062101B_0062101B", -- Loc 14C, 148, 144, 140
X"0062101B_0062101B_0062101B_0062101B", -- Loc 15C, 158, 154, 150
X"0062101B_0062101B_0062101B_0062101B", -- Loc 16C, 168, 164, 160
X"0062101B_0062101B_0062101B_0062101B", -- Loc 17C, 178, 174, 170
X"0062101B_0062101B_0062101B_0062101B", -- Loc 18C, 188, 184, 180
X"0062101B_0062101B_0062101B_0062101B", -- Loc 19C, 198, 194, 190
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1AC, 1A8, 1A4, 1A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1BC, 1B8, 1B4, 1B0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1CC, 1C8, 1C4, 1C0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1DC, 1D8, 1D4, 1D0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1EC, 1E8, 1E4, 1E0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1FC, 1F8, 1F4, 1F0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 20C, 208, 204, 200
X"0062101B_0062101B_0062101B_0062101B", -- Loc 21C, 218, 214, 221
X"0062101B_0062101B_0062101B_0062101B", -- Loc 22C, 228, 224, 220
X"0062101B_0062101B_0062101B_0062101B", -- Loc 23C, 238, 234, 230
X"0062101B_0062101B_0062101B_0062101B", -- Loc 24C, 248, 244, 240
X"0062101B_0062101B_0062101B_0062101B", -- Loc 25C, 258, 254, 250
X"0062101B_0062101B_0062101B_0062101B", -- Loc 26C, 268, 264, 260
X"0062101B_0062101B_0062101B_0062101B", -- Loc 27C, 278, 274, 270
X"0062101B_0062101B_0062101B_0062101B", -- Loc 28C, 288, 284, 280
X"0062101B_0062101B_0062101B_0062101B", -- Loc 29C, 298, 294, 290
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2AC, 2A8, 2A4, 2A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2BC, 2B8, 2B4, 2B0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2CC, 2C8, 2C4, 2C0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2DC, 2D8, 2D4, 2D0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2EC, 2E8, 2E4, 2E0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2FC, 2F8, 2F4, 2F0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 30C, 308, 304, 300
X"0062101B_0062101B_0062101B_0062101B", -- Loc 31C, 318, 314, 331
X"0062101B_0062101B_0062101B_0062101B", -- Loc 32C, 328, 324, 320
X"0062101B_0062101B_0062101B_0062101B", -- Loc 33C, 338, 334, 330
X"0062101B_0062101B_0062101B_0062101B", -- Loc 34C, 348, 344, 340
X"0062101B_0062101B_0062101B_0062101B", -- Loc 35C, 358, 354, 350
X"0062101B_0062101B_0062101B_0062101B", -- Loc 36C, 368, 364, 360
X"0062101B_0062101B_0062101B_0062101B", -- Loc 37C, 378, 374, 370
X"0062101B_0062101B_0062101B_0062101B", -- Loc 38C, 388, 384, 380
X"0062101B_0062101B_0062101B_0062101B", -- Loc 39C, 398, 394, 390
X"0062101B_0062101B_0062101B_0062101B", -- Loc 3AC, 3A8, 3A4, 3A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 3BC, 3B8, 3B4, 3B0
-- the last 16 instructions are looping ump instructions
X"080000F3_080000F2_080000F1_080000F0", -- Loc 3CC, 3C8, 3C4, 3C0
X"080000F7_080000F6_080000F5_080000F4", -- Loc 3DC, 3D8, 3D4, 3D0
X"080000FB_080000FA_080000F9_080000F8", -- Loc 3EC, 3E8, 3E4, 3E0
X"080000FF_080000FE_080000FD_080000FC" -- Loc 3FC, 3F8, 3F4, 3F0
) ;
-- the last 16 instructions are looping jump instructions
-- of the type: loop: j loop
-- This is to make sure that neither instruction fetching
-- nor instruction execution proceeds beyond the end of this memory.
-- Loc 3C0 -- 080000F0 => J 240
-- Loc 3C4 -- 080000F1 => J 241
-- Loc 3C8 -- 080000F2 => J 242
-- Loc 3CC -- 080000F3 => J 243
--
-- Loc 3D0 -- 080000F4 => J 244
-- Loc 3D4 -- 080000F5 => J 245
-- Loc 3D8 -- 080000F6 => J 246
-- Loc 3DC -- 080000F7 => J 247
--
-- Loc 3E0 -- 080000F8 => J 248
-- Loc 3E4 -- 080000F9 => J 249
-- Loc 3E8 -- 080000FA => J 250
-- Loc 3EC -- 080000FB => J 251
--
-- Loc 3F0 -- 080000FC => J 252
-- Loc 3F4 -- 080000FD => J 253
-- Loc 3F8 -- 080000FE => J 254
-- Loc 3FC -- 080000FF => J 255
end package instr_stream_pkg;
-- -- No need for s package body here
-- package body instr_stream_pkg is
--
-- end package body instr_stream_pkg;
|
-- file: i_fetch_test_stream_instr_stream_pkg.vhd (version: i_fetch_test_stream_instr_stream_pkg_non_aligned_branches.vhd)
-- Written by Gandhi Puvvada
-- date of last rivision: 7/23/2008
--
-- A package file to define the instruction stream to be placed in the instr_cache.
-- This package, "instr_stream_pkg", is refered in a use clause in the inst_cache_sprom module.
-- We will use several files similar to this containining different instruction streams.
-- The package name will remain the same, namely instr_stream_pkg.
-- Only the file name changes from, say i_fetch_test_stream_instr_stream_pkg.vhd
-- to say mult_test_stream_instr_stream_pkg.vhd.
-- Depending on which instr_stream_pkg file was analysed/compiled most recently,
-- that stream will be used for simulation/synthesis.
----------------------------------------------------------
library std, ieee;
use ieee.std_logic_1164.all;
package instr_stream_pkg is
constant DATA_WIDTH_CONSTANT : integer := 128; -- data width of of our cache
constant ADDR_WIDTH_CONSTANT : integer := 6; -- address width of our cache
-- type declarations
type mem_type is array (0 to (2**ADDR_WIDTH_CONSTANT)-1) of std_logic_vector((DATA_WIDTH_CONSTANT-1) downto 0);
---------------------------------------------------
---------------------------------------------------
-- All instructions are div $2 $3 $2
---------------------------------------------------
---------------------------------------------------
signal mem : mem_type :=
(X"0062101B_0062101B_0062101B_0062101B", -- Loc 0C, 08, 04, 00
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1C, 18, 14, 10
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2C, 28, 24, 20
X"0062101B_0062101B_0062101B_0062101B", -- Loc 3C, 38, 34, 30
X"0062101B_0062101B_0062101B_0062101B", -- Loc 4C, 48, 44, 40
X"0062101B_0062101B_0062101B_0062101B", -- Loc 5C, 58, 54, 50
X"0062101B_0062101B_0062101B_0062101B", -- Loc 6C, 68, 64, 60
X"0062101B_0062101B_0062101B_0062101B", -- Loc 7C, 78, 74, 70
X"0062101B_0062101B_0062101B_0062101B", -- Loc 8C, 88, 84, 80
X"0062101B_0062101B_0062101B_0062101B", -- Loc 9C, 98, 94, 90
X"0062101B_0062101B_0062101B_0062101B", -- Loc AC, A8, A4, A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc BC, B8, B4, B0
X"0062101B_0062101B_0062101B_0062101B", -- Loc CC, C8, C4, C0
X"0062101B_0062101B_0062101B_0062101B", -- Loc DC, D8, D4, D0
X"0062101B_0062101B_0062101B_0062101B", -- Loc EC, E8, E4, E0
X"0062101B_0062101B_0062101B_0062101B", -- Loc FC, F8, F4, F0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 10C, 108, 104, 100
X"0062101B_0062101B_0062101B_0062101B", -- Loc 11C, 118, 114, 110
X"0062101B_0062101B_0062101B_0062101B", -- Loc 12C, 128, 124, 120
X"0062101B_0062101B_0062101B_0062101B", -- Loc 13C, 138, 134, 130
X"0062101B_0062101B_0062101B_0062101B", -- Loc 14C, 148, 144, 140
X"0062101B_0062101B_0062101B_0062101B", -- Loc 15C, 158, 154, 150
X"0062101B_0062101B_0062101B_0062101B", -- Loc 16C, 168, 164, 160
X"0062101B_0062101B_0062101B_0062101B", -- Loc 17C, 178, 174, 170
X"0062101B_0062101B_0062101B_0062101B", -- Loc 18C, 188, 184, 180
X"0062101B_0062101B_0062101B_0062101B", -- Loc 19C, 198, 194, 190
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1AC, 1A8, 1A4, 1A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1BC, 1B8, 1B4, 1B0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1CC, 1C8, 1C4, 1C0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1DC, 1D8, 1D4, 1D0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1EC, 1E8, 1E4, 1E0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1FC, 1F8, 1F4, 1F0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 20C, 208, 204, 200
X"0062101B_0062101B_0062101B_0062101B", -- Loc 21C, 218, 214, 221
X"0062101B_0062101B_0062101B_0062101B", -- Loc 22C, 228, 224, 220
X"0062101B_0062101B_0062101B_0062101B", -- Loc 23C, 238, 234, 230
X"0062101B_0062101B_0062101B_0062101B", -- Loc 24C, 248, 244, 240
X"0062101B_0062101B_0062101B_0062101B", -- Loc 25C, 258, 254, 250
X"0062101B_0062101B_0062101B_0062101B", -- Loc 26C, 268, 264, 260
X"0062101B_0062101B_0062101B_0062101B", -- Loc 27C, 278, 274, 270
X"0062101B_0062101B_0062101B_0062101B", -- Loc 28C, 288, 284, 280
X"0062101B_0062101B_0062101B_0062101B", -- Loc 29C, 298, 294, 290
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2AC, 2A8, 2A4, 2A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2BC, 2B8, 2B4, 2B0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2CC, 2C8, 2C4, 2C0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2DC, 2D8, 2D4, 2D0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2EC, 2E8, 2E4, 2E0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2FC, 2F8, 2F4, 2F0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 30C, 308, 304, 300
X"0062101B_0062101B_0062101B_0062101B", -- Loc 31C, 318, 314, 331
X"0062101B_0062101B_0062101B_0062101B", -- Loc 32C, 328, 324, 320
X"0062101B_0062101B_0062101B_0062101B", -- Loc 33C, 338, 334, 330
X"0062101B_0062101B_0062101B_0062101B", -- Loc 34C, 348, 344, 340
X"0062101B_0062101B_0062101B_0062101B", -- Loc 35C, 358, 354, 350
X"0062101B_0062101B_0062101B_0062101B", -- Loc 36C, 368, 364, 360
X"0062101B_0062101B_0062101B_0062101B", -- Loc 37C, 378, 374, 370
X"0062101B_0062101B_0062101B_0062101B", -- Loc 38C, 388, 384, 380
X"0062101B_0062101B_0062101B_0062101B", -- Loc 39C, 398, 394, 390
X"0062101B_0062101B_0062101B_0062101B", -- Loc 3AC, 3A8, 3A4, 3A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 3BC, 3B8, 3B4, 3B0
-- the last 16 instructions are looping ump instructions
X"080000F3_080000F2_080000F1_080000F0", -- Loc 3CC, 3C8, 3C4, 3C0
X"080000F7_080000F6_080000F5_080000F4", -- Loc 3DC, 3D8, 3D4, 3D0
X"080000FB_080000FA_080000F9_080000F8", -- Loc 3EC, 3E8, 3E4, 3E0
X"080000FF_080000FE_080000FD_080000FC" -- Loc 3FC, 3F8, 3F4, 3F0
) ;
-- the last 16 instructions are looping jump instructions
-- of the type: loop: j loop
-- This is to make sure that neither instruction fetching
-- nor instruction execution proceeds beyond the end of this memory.
-- Loc 3C0 -- 080000F0 => J 240
-- Loc 3C4 -- 080000F1 => J 241
-- Loc 3C8 -- 080000F2 => J 242
-- Loc 3CC -- 080000F3 => J 243
--
-- Loc 3D0 -- 080000F4 => J 244
-- Loc 3D4 -- 080000F5 => J 245
-- Loc 3D8 -- 080000F6 => J 246
-- Loc 3DC -- 080000F7 => J 247
--
-- Loc 3E0 -- 080000F8 => J 248
-- Loc 3E4 -- 080000F9 => J 249
-- Loc 3E8 -- 080000FA => J 250
-- Loc 3EC -- 080000FB => J 251
--
-- Loc 3F0 -- 080000FC => J 252
-- Loc 3F4 -- 080000FD => J 253
-- Loc 3F8 -- 080000FE => J 254
-- Loc 3FC -- 080000FF => J 255
end package instr_stream_pkg;
-- -- No need for s package body here
-- package body instr_stream_pkg is
--
-- end package body instr_stream_pkg;
|
-- file: i_fetch_test_stream_instr_stream_pkg.vhd (version: i_fetch_test_stream_instr_stream_pkg_non_aligned_branches.vhd)
-- Written by Gandhi Puvvada
-- date of last rivision: 7/23/2008
--
-- A package file to define the instruction stream to be placed in the instr_cache.
-- This package, "instr_stream_pkg", is refered in a use clause in the inst_cache_sprom module.
-- We will use several files similar to this containining different instruction streams.
-- The package name will remain the same, namely instr_stream_pkg.
-- Only the file name changes from, say i_fetch_test_stream_instr_stream_pkg.vhd
-- to say mult_test_stream_instr_stream_pkg.vhd.
-- Depending on which instr_stream_pkg file was analysed/compiled most recently,
-- that stream will be used for simulation/synthesis.
----------------------------------------------------------
library std, ieee;
use ieee.std_logic_1164.all;
package instr_stream_pkg is
constant DATA_WIDTH_CONSTANT : integer := 128; -- data width of of our cache
constant ADDR_WIDTH_CONSTANT : integer := 6; -- address width of our cache
-- type declarations
type mem_type is array (0 to (2**ADDR_WIDTH_CONSTANT)-1) of std_logic_vector((DATA_WIDTH_CONSTANT-1) downto 0);
---------------------------------------------------
---------------------------------------------------
-- All instructions are div $2 $3 $2
---------------------------------------------------
---------------------------------------------------
signal mem : mem_type :=
(X"0062101B_0062101B_0062101B_0062101B", -- Loc 0C, 08, 04, 00
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1C, 18, 14, 10
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2C, 28, 24, 20
X"0062101B_0062101B_0062101B_0062101B", -- Loc 3C, 38, 34, 30
X"0062101B_0062101B_0062101B_0062101B", -- Loc 4C, 48, 44, 40
X"0062101B_0062101B_0062101B_0062101B", -- Loc 5C, 58, 54, 50
X"0062101B_0062101B_0062101B_0062101B", -- Loc 6C, 68, 64, 60
X"0062101B_0062101B_0062101B_0062101B", -- Loc 7C, 78, 74, 70
X"0062101B_0062101B_0062101B_0062101B", -- Loc 8C, 88, 84, 80
X"0062101B_0062101B_0062101B_0062101B", -- Loc 9C, 98, 94, 90
X"0062101B_0062101B_0062101B_0062101B", -- Loc AC, A8, A4, A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc BC, B8, B4, B0
X"0062101B_0062101B_0062101B_0062101B", -- Loc CC, C8, C4, C0
X"0062101B_0062101B_0062101B_0062101B", -- Loc DC, D8, D4, D0
X"0062101B_0062101B_0062101B_0062101B", -- Loc EC, E8, E4, E0
X"0062101B_0062101B_0062101B_0062101B", -- Loc FC, F8, F4, F0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 10C, 108, 104, 100
X"0062101B_0062101B_0062101B_0062101B", -- Loc 11C, 118, 114, 110
X"0062101B_0062101B_0062101B_0062101B", -- Loc 12C, 128, 124, 120
X"0062101B_0062101B_0062101B_0062101B", -- Loc 13C, 138, 134, 130
X"0062101B_0062101B_0062101B_0062101B", -- Loc 14C, 148, 144, 140
X"0062101B_0062101B_0062101B_0062101B", -- Loc 15C, 158, 154, 150
X"0062101B_0062101B_0062101B_0062101B", -- Loc 16C, 168, 164, 160
X"0062101B_0062101B_0062101B_0062101B", -- Loc 17C, 178, 174, 170
X"0062101B_0062101B_0062101B_0062101B", -- Loc 18C, 188, 184, 180
X"0062101B_0062101B_0062101B_0062101B", -- Loc 19C, 198, 194, 190
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1AC, 1A8, 1A4, 1A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1BC, 1B8, 1B4, 1B0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1CC, 1C8, 1C4, 1C0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1DC, 1D8, 1D4, 1D0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1EC, 1E8, 1E4, 1E0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 1FC, 1F8, 1F4, 1F0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 20C, 208, 204, 200
X"0062101B_0062101B_0062101B_0062101B", -- Loc 21C, 218, 214, 221
X"0062101B_0062101B_0062101B_0062101B", -- Loc 22C, 228, 224, 220
X"0062101B_0062101B_0062101B_0062101B", -- Loc 23C, 238, 234, 230
X"0062101B_0062101B_0062101B_0062101B", -- Loc 24C, 248, 244, 240
X"0062101B_0062101B_0062101B_0062101B", -- Loc 25C, 258, 254, 250
X"0062101B_0062101B_0062101B_0062101B", -- Loc 26C, 268, 264, 260
X"0062101B_0062101B_0062101B_0062101B", -- Loc 27C, 278, 274, 270
X"0062101B_0062101B_0062101B_0062101B", -- Loc 28C, 288, 284, 280
X"0062101B_0062101B_0062101B_0062101B", -- Loc 29C, 298, 294, 290
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2AC, 2A8, 2A4, 2A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2BC, 2B8, 2B4, 2B0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2CC, 2C8, 2C4, 2C0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2DC, 2D8, 2D4, 2D0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2EC, 2E8, 2E4, 2E0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 2FC, 2F8, 2F4, 2F0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 30C, 308, 304, 300
X"0062101B_0062101B_0062101B_0062101B", -- Loc 31C, 318, 314, 331
X"0062101B_0062101B_0062101B_0062101B", -- Loc 32C, 328, 324, 320
X"0062101B_0062101B_0062101B_0062101B", -- Loc 33C, 338, 334, 330
X"0062101B_0062101B_0062101B_0062101B", -- Loc 34C, 348, 344, 340
X"0062101B_0062101B_0062101B_0062101B", -- Loc 35C, 358, 354, 350
X"0062101B_0062101B_0062101B_0062101B", -- Loc 36C, 368, 364, 360
X"0062101B_0062101B_0062101B_0062101B", -- Loc 37C, 378, 374, 370
X"0062101B_0062101B_0062101B_0062101B", -- Loc 38C, 388, 384, 380
X"0062101B_0062101B_0062101B_0062101B", -- Loc 39C, 398, 394, 390
X"0062101B_0062101B_0062101B_0062101B", -- Loc 3AC, 3A8, 3A4, 3A0
X"0062101B_0062101B_0062101B_0062101B", -- Loc 3BC, 3B8, 3B4, 3B0
-- the last 16 instructions are looping ump instructions
X"080000F3_080000F2_080000F1_080000F0", -- Loc 3CC, 3C8, 3C4, 3C0
X"080000F7_080000F6_080000F5_080000F4", -- Loc 3DC, 3D8, 3D4, 3D0
X"080000FB_080000FA_080000F9_080000F8", -- Loc 3EC, 3E8, 3E4, 3E0
X"080000FF_080000FE_080000FD_080000FC" -- Loc 3FC, 3F8, 3F4, 3F0
) ;
-- the last 16 instructions are looping jump instructions
-- of the type: loop: j loop
-- This is to make sure that neither instruction fetching
-- nor instruction execution proceeds beyond the end of this memory.
-- Loc 3C0 -- 080000F0 => J 240
-- Loc 3C4 -- 080000F1 => J 241
-- Loc 3C8 -- 080000F2 => J 242
-- Loc 3CC -- 080000F3 => J 243
--
-- Loc 3D0 -- 080000F4 => J 244
-- Loc 3D4 -- 080000F5 => J 245
-- Loc 3D8 -- 080000F6 => J 246
-- Loc 3DC -- 080000F7 => J 247
--
-- Loc 3E0 -- 080000F8 => J 248
-- Loc 3E4 -- 080000F9 => J 249
-- Loc 3E8 -- 080000FA => J 250
-- Loc 3EC -- 080000FB => J 251
--
-- Loc 3F0 -- 080000FC => J 252
-- Loc 3F4 -- 080000FD => J 253
-- Loc 3F8 -- 080000FE => J 254
-- Loc 3FC -- 080000FF => J 255
end package instr_stream_pkg;
-- -- No need for s package body here
-- package body instr_stream_pkg is
--
-- end package body instr_stream_pkg;
|
-------------------------------------------------------------------------------
-- Title : Testbench for design "beacon_robot"
-------------------------------------------------------------------------------
-- Author : strongly-typed
-------------------------------------------------------------------------------
-- Description:
-------------------------------------------------------------------------------
-- Copyright (c) 2012
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library work;
use work.spislave_pkg.all;
use work.bus_pkg.all;
use work.motor_control_pkg.all;
use work.adc_ltc2351_pkg.all;
use work.uss_tx_pkg.all;
-------------------------------------------------------------------------------
entity toplevel_tb is
end toplevel_tb;
-------------------------------------------------------------------------------
architecture tb of toplevel_tb is
component toplevel
port (
cs_np : in std_logic;
sck_p : in std_logic;
miso_p : out std_logic;
mosi_p : in std_logic;
sram_addr_p : out std_logic_vector(18 downto 0);
sram_data_p : inout std_logic_vector(7 downto 0);
sram_oe_np : out std_logic;
sram_we_np : out std_logic;
sram_ce_np : out std_logic;
us_tx0_p : out half_bridge_type;
us_tx1_p : out half_bridge_type;
us_tx2_p : out half_bridge_type;
us_rx_spi_in_p : in adc_ltc2351_spi_in_type;
us_rx_spi_out_p : out adc_ltc2351_spi_out_type;
ir_tx_p : out std_logic;
ir_rx_spi_out_p : out adc_ltc2351_spi_out_type;
ir_rx0_spi_in_p : in adc_ltc2351_spi_in_type;
ir_rx1_spi_in_p : in adc_ltc2351_spi_in_type;
ir_ack_p : in std_logic;
ir_irq_p : out std_logic;
us_ack_p : in std_logic;
us_irq_p : out std_logic;
clk : in std_logic);
end component;
-- signals for component ports
signal us_tx0 : half_bridge_type;
signal us_tx1 : half_bridge_type;
signal us_tx2 : half_bridge_type;
signal ir_tx : std_logic;
signal cs_n : std_logic := '1';
signal sck : std_logic;
signal miso : std_logic;
signal mosi : std_logic;
signal irq : std_logic;
signal sram_addr : std_logic_vector(18 downto 0) := (others => '0');
signal sram_data : std_logic_vector(7 downto 0) := (others => '0');
signal sram_oe_n : std_logic := '1';
signal sram_we_n : std_logic := '1';
signal sram_ce_n : std_logic := '1';
signal us_rx_spi_in : adc_ltc2351_spi_in_type;
signal us_rx_spi_out : adc_ltc2351_spi_out_type;
signal ir_rx0_spi_in : adc_ltc2351_spi_in_type;
signal ir_rx1_spi_in : adc_ltc2351_spi_in_type;
signal ir_rx_spi_out : adc_ltc2351_spi_out_type;
signal reset_n : std_logic := '1';
signal clk : std_logic := '0';
begin -- tb
toplevel_1 : toplevel
port map (
cs_np => cs_n,
sck_p => sck,
miso_p => miso,
mosi_p => mosi,
sram_addr_p => sram_addr,
sram_data_p => sram_data,
sram_oe_np => sram_oe_n,
sram_we_np => sram_we_n,
sram_ce_np => sram_ce_n,
us_tx0_p => us_tx0,
us_tx1_p => us_tx1,
us_tx2_p => us_tx2,
us_rx_spi_in_p => us_rx_spi_in,
us_rx_spi_out_p => us_rx_spi_out,
ir_tx_p => ir_tx,
ir_rx_spi_out_p => ir_rx_spi_out,
ir_rx0_spi_in_p => ir_rx0_spi_in,
ir_rx1_spi_in_p => ir_rx1_spi_in,
ir_ack_p => '0',
ir_irq_p => open,
us_ack_p => '0',
us_irq_p => open,
clk => clk);
-- clock generation
Clk <= not Clk after 5.0 ns;
process
begin
wait for 25 ns;
reset_n <= '0';
end process;
end tb;
|
library IEEE;
use IEEE.std_logic_1164.all;
package pkg1_lib3 is
component com1_pkg1_lib3 is
generic (
WITH_GENERIC: boolean:=TRUE
);
port (
data_i : in std_logic;
data_o : out std_logic
);
end component com1_pkg1_lib3;
end package pkg1_lib3;
|
-- --------------------------------------------------------------------
--
-- Copyright © 2008 by IEEE. All rights reserved.
--
-- This source file is an essential part of IEEE Std 1076-2008,
-- IEEE Standard VHDL Language Reference Manual. This source file may not be
-- copied, sold, or included with software that is sold without written
-- permission from the IEEE Standards Department. This source file may be
-- copied for individual use between licensed users. This source file is
-- provided on an AS IS basis. The IEEE disclaims ANY WARRANTY EXPRESS OR
-- IMPLIED INCLUDING ANY WARRANTY OF MERCHANTABILITY AND FITNESS FOR USE
-- FOR A PARTICULAR PURPOSE. The user of the source file shall indemnify
-- and hold IEEE harmless from any damages or liability arising out of the
-- use thereof.
--
-- Title : Standard VHDL Synthesis Packages
-- : (NUMERIC_STD package body)
-- :
-- Library : This package shall be compiled into a library
-- : symbolically named IEEE.
-- :
-- Developers: IEEE DASC Synthesis Working Group,
-- : Accellera VHDL-TC, and IEEE P1076 Working Group
-- :
-- Purpose : This package defines numeric types and arithmetic functions
-- : for use with synthesis tools. Two numeric types are defined:
-- : -- > UNRESOLVED_UNSIGNED: represents an UNSIGNED number
-- : in vector form
-- : -- > UNRESOLVED_SIGNED: represents a SIGNED number
-- : in vector form
-- : The base element type is type STD_ULOGIC.
-- : Aliases U_UNSIGNED and U_SIGNED are defined for the types
-- : UNRESOLVED_UNSIGNED and UNRESOLVED_SIGNED, respectively.
-- : Two numeric subtypes are defined:
-- : -- > UNSIGNED: represents UNSIGNED number in vector form
-- : -- > SIGNED: represents a SIGNED number in vector form
-- : The element subtypes are the same subtype as STD_LOGIC.
-- : The leftmost bit is treated as the most significant bit.
-- : Signed vectors are represented in two's complement form.
-- : This package contains overloaded arithmetic operators on
-- : the SIGNED and UNSIGNED types. The package also contains
-- : useful type conversions functions, clock detection
-- : functions, and other utility functions.
-- :
-- : If any argument to a function is a null array, a null array
-- : is returned (exceptions, if any, are noted individually).
--
-- Note : This package may be modified to include additional data
-- : required by tools, but it must in no way change the
-- : external interfaces or simulation behavior of the
-- : description. It is permissible to add comments and/or
-- : attributes to the package declarations, but not to change
-- : or delete any original lines of the package declaration.
-- : The package body may be changed only in accordance with
-- : the terms of Clause 16 of this standard.
-- :
-- --------------------------------------------------------------------
-- $Revision: 1220 $
-- $Date: 2008-04-10 17:16:09 +0930 (Thu, 10 Apr 2008) $
-- --------------------------------------------------------------------
package body NUMERIC_STD is
-- null range array constants
constant NAU : UNRESOLVED_UNSIGNED (0 downto 1) := (others => '0');
constant NAS : UNRESOLVED_SIGNED (0 downto 1) := (others => '0');
-- implementation controls
constant NO_WARNING : BOOLEAN := false; -- default to emit warnings
-- =========================Local Subprograms =================================
function SIGNED_NUM_BITS (ARG : INTEGER) return NATURAL is
variable NBITS : NATURAL;
variable N : NATURAL;
begin
if ARG >= 0 then
N := ARG;
else
N := -(ARG+1);
end if;
NBITS := 1;
while N > 0 loop
NBITS := NBITS+1;
N := N / 2;
end loop;
return NBITS;
end function SIGNED_NUM_BITS;
function UNSIGNED_NUM_BITS (ARG : NATURAL) return NATURAL is
variable NBITS : NATURAL;
variable N : NATURAL;
begin
N := ARG;
NBITS := 1;
while N > 1 loop
NBITS := NBITS+1;
N := N / 2;
end loop;
return NBITS;
end function UNSIGNED_NUM_BITS;
------------------------------------------------------------------------
-- this internal function computes the addition of two UNRESOLVED_UNSIGNED
-- with input CARRY
-- * the two arguments are of the same length
function ADD_UNSIGNED (L, R : UNRESOLVED_UNSIGNED; C : STD_LOGIC)
return UNRESOLVED_UNSIGNED
is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is R;
variable RESULT : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable CBIT : STD_LOGIC := C;
begin
for I in 0 to L_LEFT loop
RESULT(I) := CBIT xor XL(I) xor XR(I);
CBIT := (CBIT and XL(I)) or (CBIT and XR(I)) or (XL(I) and XR(I));
end loop;
return RESULT;
end function ADD_UNSIGNED;
-- this internal function computes the addition of two UNRESOLVED_SIGNED
-- with input CARRY
-- * the two arguments are of the same length
function ADD_SIGNED (L, R : UNRESOLVED_SIGNED; C : STD_LOGIC)
return UNRESOLVED_SIGNED
is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(L_LEFT downto 0) is R;
variable RESULT : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable CBIT : STD_LOGIC := C;
begin
for I in 0 to L_LEFT loop
RESULT(I) := CBIT xor XL(I) xor XR(I);
CBIT := (CBIT and XL(I)) or (CBIT and XR(I)) or (XL(I) and XR(I));
end loop;
return RESULT;
end function ADD_SIGNED;
-----------------------------------------------------------------------------
-- this internal procedure computes UNSIGNED division
-- giving the quotient and remainder.
procedure DIVMOD (NUM, XDENOM : UNRESOLVED_UNSIGNED;
XQUOT, XREMAIN : out UNRESOLVED_UNSIGNED) is
variable TEMP : UNRESOLVED_UNSIGNED(NUM'length downto 0);
variable QUOT : UNRESOLVED_UNSIGNED(MAXIMUM(NUM'length, XDENOM'length)-1
downto 0);
alias DENOM : UNRESOLVED_UNSIGNED(XDENOM'length-1 downto 0) is XDENOM;
variable TOPBIT : INTEGER;
begin
TEMP := "0"&NUM;
QUOT := (others => '0');
TOPBIT := -1;
for J in DENOM'range loop
if DENOM(J) = '1' then
TOPBIT := J;
exit;
end if;
end loop;
assert TOPBIT >= 0 report "NUMERIC_STD.DIVMOD: DIV, MOD, or REM by zero"
severity error;
for J in NUM'length-(TOPBIT+1) downto 0 loop
if TEMP(TOPBIT+J+1 downto J) >= "0"&DENOM(TOPBIT downto 0) then
TEMP(TOPBIT+J+1 downto J) := (TEMP(TOPBIT+J+1 downto J))
-("0"&DENOM(TOPBIT downto 0));
QUOT(J) := '1';
end if;
assert TEMP(TOPBIT+J+1) = '0'
report "NUMERIC_STD.DIVMOD: internal error in the division algorithm"
severity error;
end loop;
XQUOT := RESIZE(QUOT, XQUOT'length);
XREMAIN := RESIZE(TEMP, XREMAIN'length);
end procedure DIVMOD;
-----------------Local Subprograms - shift/rotate ops-------------------------
function XSLL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := (others => '0');
begin
if COUNT <= ARG_L then
RESULT(ARG_L downto COUNT) := XARG(ARG_L-COUNT downto 0);
end if;
return RESULT;
end function XSLL;
function XSRL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := (others => '0');
begin
if COUNT <= ARG_L then
RESULT(ARG_L-COUNT downto 0) := XARG(ARG_L downto COUNT);
end if;
return RESULT;
end function XSRL;
function XSRA (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0);
variable XCOUNT : NATURAL := COUNT;
begin
if ((ARG'length <= 1) or (XCOUNT = 0)) then return ARG;
else
if (XCOUNT > ARG_L) then XCOUNT := ARG_L;
end if;
RESULT(ARG_L-XCOUNT downto 0) := XARG(ARG_L downto XCOUNT);
RESULT(ARG_L downto (ARG_L - XCOUNT + 1)) := (others => XARG(ARG_L));
end if;
return RESULT;
end function XSRA;
function XROL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := XARG;
variable COUNTM : INTEGER;
begin
COUNTM := COUNT mod (ARG_L + 1);
if COUNTM /= 0 then
RESULT(ARG_L downto COUNTM) := XARG(ARG_L-COUNTM downto 0);
RESULT(COUNTM-1 downto 0) := XARG(ARG_L downto ARG_L-COUNTM+1);
end if;
return RESULT;
end function XROL;
function XROR (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := XARG;
variable COUNTM : INTEGER;
begin
COUNTM := COUNT mod (ARG_L + 1);
if COUNTM /= 0 then
RESULT(ARG_L-COUNTM downto 0) := XARG(ARG_L downto COUNTM);
RESULT(ARG_L downto ARG_L-COUNTM+1) := XARG(COUNTM-1 downto 0);
end if;
return RESULT;
end function XROR;
-----------------Local Subprograms - Relational ops---------------------------
--
-- General "=" for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_EQUAL (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) = STD_ULOGIC_VECTOR(R);
end function UNSIGNED_EQUAL;
--
-- General "=" for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_EQUAL (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) = STD_ULOGIC_VECTOR(R);
end function SIGNED_EQUAL;
--
-- General "<" for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_LESS (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) < STD_ULOGIC_VECTOR(R);
end function UNSIGNED_LESS;
--
-- General "<" function for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_LESS (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
variable INTERN_L : UNRESOLVED_SIGNED(0 to L'length-1);
variable INTERN_R : UNRESOLVED_SIGNED(0 to R'length-1);
begin
INTERN_L := L;
INTERN_R := R;
INTERN_L(0) := not INTERN_L(0);
INTERN_R(0) := not INTERN_R(0);
return STD_ULOGIC_VECTOR(INTERN_L) < STD_ULOGIC_VECTOR(INTERN_R);
end function SIGNED_LESS;
--
-- General "<=" function for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_LESS_OR_EQUAL (L, R : UNRESOLVED_UNSIGNED)
return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) <= STD_ULOGIC_VECTOR(R);
end function UNSIGNED_LESS_OR_EQUAL;
--
-- General "<=" function for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_LESS_OR_EQUAL (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
-- Need aliases to assure index direction
variable INTERN_L : UNRESOLVED_SIGNED(0 to L'length-1);
variable INTERN_R : UNRESOLVED_SIGNED(0 to R'length-1);
begin
INTERN_L := L;
INTERN_R := R;
INTERN_L(0) := not INTERN_L(0);
INTERN_R(0) := not INTERN_R(0);
return STD_ULOGIC_VECTOR(INTERN_L) <= STD_ULOGIC_VECTOR(INTERN_R);
end function SIGNED_LESS_OR_EQUAL;
-- =========================Exported Functions ==========================
-- Id: A.1
function "abs" (ARG : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_SIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT : UNRESOLVED_SIGNED(ARG_LEFT downto 0);
begin
if ARG'length < 1 then return NAS;
end if;
RESULT := TO_01(XARG, 'X');
if (RESULT(RESULT'left) = 'X') then return RESULT;
end if;
if RESULT(RESULT'left) = '1' then
RESULT := -RESULT;
end if;
return RESULT;
end function "abs";
-- Id: A.2
function "-" (ARG : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_SIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT, XARG01 : UNRESOLVED_SIGNED(ARG_LEFT downto 0);
variable CBIT : STD_LOGIC := '1';
begin
if ARG'length < 1 then return NAS;
end if;
XARG01 := TO_01(ARG, 'X');
if (XARG01(XARG01'left) = 'X') then return XARG01;
end if;
for I in 0 to RESULT'left loop
RESULT(I) := not(XARG01(I)) xor CBIT;
CBIT := CBIT and not(XARG01(I));
end loop;
return RESULT;
end function "-";
-- ============================================================================
-- Id: A.3
function "+" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_UNSIGNED(L01, R01, '0');
end function "+";
-- Id: A.3R
function "+" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED
is
variable XR : UNRESOLVED_UNSIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L + XR);
end function "+";
-- Id: A.3L
function "+" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
variable XL : UNRESOLVED_UNSIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL + R);
end function "+";
-- Id: A.4
function "+" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_SIGNED(L01, R01, '0');
end function "+";
-- Id: A.4R
function "+" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED
is
variable XR : UNRESOLVED_SIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L + XR);
end function "+";
-- Id: A.4L
function "+" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
variable XL : UNRESOLVED_SIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL + R);
end function "+";
-- Id: A.5
function "+" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L + TO_UNSIGNED(R, L'length);
end function "+";
-- Id: A.6
function "+" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) + R;
end function "+";
-- Id: A.7
function "+" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return L + TO_SIGNED(R, L'length);
end function "+";
-- Id: A.8
function "+" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) + R;
end function "+";
-- ============================================================================
-- Id: A.9
function "-" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_UNSIGNED(L01, not(R01), '1');
end function "-";
-- Id: A.9R
function "-" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED
is
variable XR : UNRESOLVED_UNSIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L - XR);
end function "-";
-- Id: A.9L
function "-" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
variable XL : UNRESOLVED_UNSIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL - R);
end function "-";
-- Id: A.10
function "-" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_SIGNED(L01, not(R01), '1');
end function "-";
-- Id: A.10R
function "-" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED
is
variable XR : UNRESOLVED_SIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L - XR);
end function "-";
-- Id: A.10L
function "-" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
variable XL : UNRESOLVED_SIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL - R);
end function "-";
-- Id: A.11
function "-" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L - TO_UNSIGNED(R, L'length);
end function "-";
-- Id: A.12
function "-" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) - R;
end function "-";
-- Id: A.13
function "-" (L : UNRESOLVED_SIGNED; R : INTEGER) return UNRESOLVED_SIGNED is
begin
return L - TO_SIGNED(R, L'length);
end function "-";
-- Id: A.14
function "-" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) - R;
end function "-";
-- ============================================================================
-- Id: A.15
function "*" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable RESULT : UNRESOLVED_UNSIGNED((L'length+R'length-1) downto 0) :=
(others => '0');
variable ADVAL : UNRESOLVED_UNSIGNED((L'length+R'length-1) downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
RESULT := (others => 'X');
return RESULT;
end if;
ADVAL := RESIZE(XR, RESULT'length);
for I in 0 to L_LEFT loop
if XL(I) = '1' then RESULT := RESULT + ADVAL;
end if;
ADVAL := SHIFT_LEFT(ADVAL, 1);
end loop;
return RESULT;
end function "*";
-- Id: A.16
function "*" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable RESULT : UNRESOLVED_SIGNED((L_LEFT+R_LEFT+1) downto 0) :=
(others => '0');
variable ADVAL : UNRESOLVED_SIGNED((L_LEFT+R_LEFT+1) downto 0);
begin
if ((L_LEFT < 0) or (R_LEFT < 0)) then return NAS;
end if;
XL := TO_01(L, 'X');
XR := TO_01(R, 'X');
if ((XL(L_LEFT) = 'X') or (XR(R_LEFT) = 'X')) then
RESULT := (others => 'X');
return RESULT;
end if;
ADVAL := RESIZE(XR, RESULT'length);
for I in 0 to L_LEFT-1 loop
if XL(I) = '1' then RESULT := RESULT + ADVAL;
end if;
ADVAL := SHIFT_LEFT(ADVAL, 1);
end loop;
if XL(L_LEFT) = '1' then
RESULT := RESULT - ADVAL;
end if;
return RESULT;
end function "*";
-- Id: A.17
function "*" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L * TO_UNSIGNED(R, L'length);
end function "*";
-- Id: A.18
function "*" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) * R;
end function "*";
-- Id: A.19
function "*" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return L * TO_SIGNED(R, L'length);
end function "*";
-- Id: A.20
function "*" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) * R;
end function "*";
-- ============================================================================
-- Id: A.21
function "/" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FQUOT := (others => 'X');
return FQUOT;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FQUOT;
end function "/";
-- Id: A.22
function "/" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable QNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FQUOT := (others => 'X');
return UNRESOLVED_SIGNED(FQUOT);
end if;
if XL(XL'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-XL);
QNEG := true;
else
XNUM := UNRESOLVED_UNSIGNED(XL);
end if;
if XR(XR'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-XR);
QNEG := not QNEG;
else
XDENOM := UNRESOLVED_UNSIGNED(XR);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if QNEG then FQUOT := "0"-FQUOT;
end if;
return UNRESOLVED_SIGNED(FQUOT);
end function "/";
-- Id: A.23
function "/" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, QUOT : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
if (R_LENGTH > L'length) then
QUOT := (others => '0');
return RESIZE(QUOT, L'length);
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
QUOT := RESIZE((L / XR), QUOT'length);
return RESIZE(QUOT, L'length);
end function "/";
-- Id: A.24
function "/" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, QUOT : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAU;
end if;
XL := TO_UNSIGNED(L, L_LENGTH);
QUOT := RESIZE((XL / R), QUOT'length);
if L_LENGTH > R'length and QUOT(0) /= 'X'
and QUOT(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""/"": Quotient Truncated"
severity warning;
end if;
return RESIZE(QUOT, R'length);
end function "/";
-- Id: A.25
function "/" (L : UNRESOLVED_SIGNED; R : INTEGER) return UNRESOLVED_SIGNED is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, QUOT : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
if (R_LENGTH > L'length) then
QUOT := (others => '0');
return RESIZE(QUOT, L'length);
end if;
XR := TO_SIGNED(R, R_LENGTH);
QUOT := RESIZE((L / XR), QUOT'length);
return RESIZE(QUOT, L'length);
end function "/";
-- Id: A.26
function "/" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, QUOT : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
QUOT := RESIZE((XL / R), QUOT'length);
if L_LENGTH > R'length and QUOT(0) /= 'X'
and QUOT(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => QUOT(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""/"": Quotient Truncated"
severity warning;
end if;
return RESIZE(QUOT, R'length);
end function "/";
-- ============================================================================
-- Id: A.27
function "rem" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return FREMAIN;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FREMAIN;
end function "rem";
-- Id: A.28
function "rem" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable RNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XNUM := UNRESOLVED_UNSIGNED(TO_01(XXL, 'X'));
XDENOM := UNRESOLVED_UNSIGNED(TO_01(XXR, 'X'));
if ((XNUM(XNUM'left) = 'X') or (XDENOM(XDENOM'left) = 'X')) then
FREMAIN := (others => 'X');
return UNRESOLVED_SIGNED(FREMAIN);
end if;
if XNUM(XNUM'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-UNRESOLVED_SIGNED(XNUM));
RNEG := true;
else
XNUM := UNRESOLVED_UNSIGNED(XNUM);
end if;
if XDENOM(XDENOM'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-UNRESOLVED_SIGNED(XDENOM));
else
XDENOM := UNRESOLVED_UNSIGNED(XDENOM);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if RNEG then
FREMAIN := "0"-FREMAIN;
end if;
return UNRESOLVED_SIGNED(FREMAIN);
end function "rem";
-- Id: A.29
function "rem" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
XREM := L rem XR;
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "rem";
-- Id: A.30
function "rem" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
XL := TO_UNSIGNED(L, L_LENGTH);
XREM := XL rem R;
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "rem";
-- Id: A.31
function "rem" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
XR := TO_SIGNED(R, R_LENGTH);
XREM := RESIZE((L rem XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => XREM(L'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "rem";
-- Id: A.32
function "rem" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
XREM := RESIZE((XL rem R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => XREM(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "rem";
-- ============================================================================
-- Id: A.33
function "mod" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return FREMAIN;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FREMAIN;
end function "mod";
-- Id: A.34
function "mod" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable RNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return UNRESOLVED_SIGNED(FREMAIN);
end if;
if XL(XL'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-XL);
else
XNUM := UNRESOLVED_UNSIGNED(XL);
end if;
if XR(XR'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-XR);
RNEG := true;
else
XDENOM := UNRESOLVED_UNSIGNED(XR);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if RNEG and L(L'left) = '1' then
FREMAIN := "0"-FREMAIN;
elsif RNEG and FREMAIN /= "0" then
FREMAIN := FREMAIN-XDENOM;
elsif L(L'left) = '1' and FREMAIN /= "0" then
FREMAIN := XDENOM-FREMAIN;
end if;
return UNRESOLVED_SIGNED(FREMAIN);
end function "mod";
-- Id: A.35
function "mod" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
XREM := RESIZE((L mod XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "mod";
-- Id: A.36
function "mod" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAU;
end if;
XL := TO_UNSIGNED(L, L_LENGTH);
XREM := RESIZE((XL mod R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "mod";
-- Id: A.37
function "mod" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
XR := TO_SIGNED(R, R_LENGTH);
XREM := RESIZE((L mod XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => XREM(L'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "mod";
-- Id: A.38
function "mod" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
XREM := RESIZE((XL mod R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => XREM(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "mod";
-- ============================================================================
-- Id: A.39
function find_leftmost (ARG : UNRESOLVED_UNSIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_leftmost;
-- Id: A.40
function find_leftmost (ARG : UNRESOLVED_SIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_leftmost;
-- Id: A.41
function find_rightmost (ARG : UNRESOLVED_UNSIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'reverse_range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_rightmost;
-- Id: A.42
function find_rightmost (ARG : UNRESOLVED_SIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'reverse_range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_rightmost;
-- ============================================================================
-- Id: C.1
function ">" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not UNSIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">";
-- Id: C.2
function ">" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not SIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">";
-- Id: C.3
function ">" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not UNSIGNED_LESS_OR_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function ">";
-- Id: C.4
function ">" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not SIGNED_LESS_OR_EQUAL(TO_SIGNED(L, R01'length), R01);
end function ">";
-- Id: C.5
function ">" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return false;
end if;
return not UNSIGNED_LESS_OR_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function ">";
-- Id: C.6
function ">" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not SIGNED_LESS_OR_EQUAL(L01, TO_SIGNED(R, L01'length));
end function ">";
-- ============================================================================
-- Id: C.7
function "<" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<";
-- Id: C.8
function "<" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<";
-- Id: C.9
function "<" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return UNSIGNED_LESS(TO_UNSIGNED(L, R01'length), R01);
end function "<";
-- Id: C.10
function "<" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return SIGNED_LESS(TO_SIGNED(L, R01'length), R01);
end function "<";
-- Id: C.11
function "<" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return UNSIGNED_LESS(L01, TO_UNSIGNED(R, L01'length));
end function "<";
-- Id: C.12
function "<" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return SIGNED_LESS(L01, TO_SIGNED(R, L01'length));
end function "<";
-- ============================================================================
-- Id: C.13
function "<=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<=";
-- Id: C.14
function "<=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<=";
-- Id: C.15
function "<=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return UNSIGNED_LESS_OR_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function "<=";
-- Id: C.16
function "<=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return SIGNED_LESS_OR_EQUAL(TO_SIGNED(L, R01'length), R01);
end function "<=";
-- Id: C.17
function "<=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L_LEFT < 0) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return UNSIGNED_LESS_OR_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function "<=";
-- Id: C.18
function "<=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L_LEFT < 0) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return SIGNED_LESS_OR_EQUAL(L01, TO_SIGNED(R, L01'length));
end function "<=";
-- ============================================================================
-- Id: C.19
function ">=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not UNSIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">=";
-- Id: C.20
function ">=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not SIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">=";
-- Id: C.21
function ">=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not UNSIGNED_LESS(TO_UNSIGNED(L, R01'length), R01);
end function ">=";
-- Id: C.22
function ">=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not SIGNED_LESS(TO_SIGNED(L, R01'length), R01);
end function ">=";
-- Id: C.23
function ">=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not UNSIGNED_LESS(L01, TO_UNSIGNED(R, L01'length));
end function ">=";
-- Id: C.24
function ">=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not SIGNED_LESS(L01, TO_SIGNED(R, L01'length));
end function ">=";
-- ============================================================================
-- Id: C.25
function "=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "=";
-- Id: C.26
function "=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "=";
-- Id: C.27
function "=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return false;
end if;
return UNSIGNED_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function "=";
-- Id: C.28
function "=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return false;
end if;
return SIGNED_EQUAL(TO_SIGNED(L, R01'length), R01);
end function "=";
-- Id: C.29
function "=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return false;
end if;
return UNSIGNED_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function "=";
-- Id: C.30
function "=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return false;
end if;
return SIGNED_EQUAL(L01, TO_SIGNED(R, L01'length));
end function "=";
-- ============================================================================
-- Id: C.31
function "/=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
return not(UNSIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE)));
end function "/=";
-- Id: C.32
function "/=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
return not(SIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE)));
end function "/=";
-- Id: C.33
function "/=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not(UNSIGNED_EQUAL(TO_UNSIGNED(L, R01'length), R01));
end function "/=";
-- Id: C.34
function "/=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if SIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not(SIGNED_EQUAL(TO_SIGNED(L, R01'length), R01));
end function "/=";
-- Id: C.35
function "/=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return true;
end if;
return not(UNSIGNED_EQUAL(L01, TO_UNSIGNED(R, L01'length)));
end function "/=";
-- Id: C.36
function "/=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if SIGNED_NUM_BITS(R) > L'length then return true;
end if;
return not(SIGNED_EQUAL(L01, TO_SIGNED(R, L01'length)));
end function "/=";
-- ============================================================================
-- Id: C.37
function MINIMUM (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if UNSIGNED_LESS(L01, R01) then
return L01;
else
return R01;
end if;
end function MINIMUM;
-- Id: C.38
function MINIMUM (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if SIGNED_LESS(L01, R01) then
return L01;
else
return R01;
end if;
end function MINIMUM;
-- Id: C.39
function MINIMUM (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return MINIMUM(TO_UNSIGNED(L, R'length), R);
end function MINIMUM;
-- Id: C.40
function MINIMUM (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return MINIMUM(TO_SIGNED(L, R'length), R);
end function MINIMUM;
-- Id: C.41
function MINIMUM (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return MINIMUM(L, TO_UNSIGNED(R, L'length));
end function MINIMUM;
-- Id: C.42
function MINIMUM (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return MINIMUM(L, TO_SIGNED(R, L'length));
end function MINIMUM;
-- ============================================================================
-- Id: C.43
function MAXIMUM (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if UNSIGNED_LESS(L01, R01) then
return R01;
else
return L01;
end if;
end function MAXIMUM;
-- Id: C.44
function MAXIMUM (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if SIGNED_LESS(L01, R01) then
return R01;
else
return L01;
end if;
end function MAXIMUM;
-- Id: C.45
function MAXIMUM (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return MAXIMUM(TO_UNSIGNED(L, R'length), R);
end function MAXIMUM;
-- Id: C.46
function MAXIMUM (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return MAXIMUM(TO_SIGNED(L, R'length), R);
end function MAXIMUM;
-- Id: C.47
function MAXIMUM (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return MAXIMUM(L, TO_UNSIGNED(R, L'length));
end function MAXIMUM;
-- Id: C.48
function MAXIMUM (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return MAXIMUM(L, TO_SIGNED(R, L'length));
end function MAXIMUM;
-- ============================================================================
-- Id: C.49
function "?>" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L > R then
return '1';
else
return '0';
end if;
end if;
end function "?>";
-- Id: C.50
function "?>" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L > R then
return '1';
else
return '0';
end if;
end if;
end function "?>";
-- Id: C.51
function "?>" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?> R;
end function "?>";
-- Id: C.52
function "?>" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?> R;
end function "?>";
-- Id: C.53
function "?>" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?> TO_UNSIGNED(R, L'length);
end function "?>";
-- Id: C.54
function "?>" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?> TO_SIGNED(R, L'length);
end function "?>";
-- ============================================================================
-- Id: C.55
function "?<" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L < R then
return '1';
else
return '0';
end if;
end if;
end function "?<";
-- Id: C.56
function "?<" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L < R then
return '1';
else
return '0';
end if;
end if;
end function "?<";
-- Id: C.57
function "?<" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?< R;
end function "?<";
-- Id: C.58
function "?<" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?< R;
end function "?<";
-- Id: C.59
function "?<" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?< TO_UNSIGNED(R, L'length);
end function "?<";
-- Id: C.60
function "?<" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?< TO_SIGNED(R, L'length);
end function "?<";
-- ============================================================================
-- Id: C.61
function "?<=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L <= R then
return '1';
else
return '0';
end if;
end if;
end function "?<=";
-- Id: C.62
function "?<=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L <= R then
return '1';
else
return '0';
end if;
end if;
end function "?<=";
-- Id: C.63
function "?<=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?<= R;
end function "?<=";
-- Id: C.64
function "?<=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?<= R;
end function "?<=";
-- Id: C.65
function "?<=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?<= TO_UNSIGNED(R, L'length);
end function "?<=";
-- Id: C.66
function "?<=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?<= TO_SIGNED(R, L'length);
end function "?<=";
-- ============================================================================
-- Id: C.67
function "?>=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L >= R then
return '1';
else
return '0';
end if;
end if;
end function "?>=";
-- Id: C.68
function "?>=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L >= R then
return '1';
else
return '0';
end if;
end if;
end function "?>=";
-- Id: C.69
function "?>=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?>= R;
end function "?>=";
-- Id: C.70
function "?>=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?>= R;
end function "?>=";
-- Id: C.71
function "?>=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?>= TO_UNSIGNED(R, L'length);
end function "?>=";
-- Id: C.72
function "?>=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?>= TO_SIGNED(R, L'length);
end function "?>=";
-- ============================================================================
-- Id: C.73
function "?=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin
-- Logically identical to an "=" operator.
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '1';
for i in LX'low to LX'high loop
result1 := LX(i) ?= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result and result1;
end if;
end loop;
return result;
end if;
end function "?=";
-- Id: C.74
function "?=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '1';
for i in LX'low to LX'high loop
result1 := LX(i) ?= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result and result1;
end if;
end loop;
return result;
end if;
end function "?=";
-- Id: C.75
function "?=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?= R;
end function "?=";
-- Id: C.76
function "?=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?= R;
end function "?=";
-- Id: C.77
function "?=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?= TO_UNSIGNED(R, L'length);
end function "?=";
-- Id: C.78
function "?=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?= TO_SIGNED(R, L'length);
end function "?=";
-- ============================================================================
-- Id: C.79
function "?/=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?/="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '0';
for i in LX'low to LX'high loop
result1 := LX(i) ?/= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result or result1;
end if;
end loop;
return result;
end if;
end function "?/=";
-- Id: C.80
function "?/=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?/="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '0';
for i in LX'low to LX'high loop
result1 := LX(i) ?/= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result or result1;
end if;
end loop;
return result;
end if;
end function "?/=";
-- Id: C.81
function "?/=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?/= R;
end function "?/=";
-- Id: C.82
function "?/=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?/= R;
end function "?/=";
-- Id: C.83
function "?/=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?/= TO_UNSIGNED(R, L'length);
end function "?/=";
-- Id: C.84
function "?/=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?/= TO_SIGNED(R, L'length);
end function "?/=";
-- ============================================================================
-- Id: S.1
function SHIFT_LEFT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XSLL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_LEFT;
-- Id: S.2
function SHIFT_RIGHT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XSRL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_RIGHT;
-- Id: S.3
function SHIFT_LEFT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XSLL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_LEFT;
-- Id: S.4
function SHIFT_RIGHT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XSRA(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_RIGHT;
-- ============================================================================
-- Id: S.5
function ROTATE_LEFT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XROL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_LEFT;
-- Id: S.6
function ROTATE_RIGHT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XROR(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_RIGHT;
-- Id: S.7
function ROTATE_LEFT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XROL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_LEFT;
-- Id: S.8
function ROTATE_RIGHT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XROR(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_RIGHT;
-- ============================================================================
------------------------------------------------------------------------------
-- Note: Function S.9 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.9
function "sll" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sll";
------------------------------------------------------------------------------
-- Note: Function S.10 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.10
function "sll" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return UNRESOLVED_SIGNED(SHIFT_RIGHT(UNRESOLVED_UNSIGNED(ARG), -COUNT));
end if;
end function "sll";
------------------------------------------------------------------------------
-- Note: Function S.11 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.11
function "srl" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "srl";
------------------------------------------------------------------------------
-- Note: Function S.12 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.12
function "srl" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return UNRESOLVED_SIGNED(SHIFT_RIGHT(UNRESOLVED_UNSIGNED(ARG), COUNT));
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "srl";
------------------------------------------------------------------------------
-- Note: Function S.13 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.13
function "rol" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return ROTATE_LEFT(ARG, COUNT);
else
return ROTATE_RIGHT(ARG, -COUNT);
end if;
end function "rol";
------------------------------------------------------------------------------
-- Note: Function S.14 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.14
function "rol" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return ROTATE_LEFT(ARG, COUNT);
else
return ROTATE_RIGHT(ARG, -COUNT);
end if;
end function "rol";
------------------------------------------------------------------------------
-- Note: Function S.15 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.15
function "ror" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return ROTATE_RIGHT(ARG, COUNT);
else
return ROTATE_LEFT(ARG, -COUNT);
end if;
end function "ror";
------------------------------------------------------------------------------
-- Note: Function S.16 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.16
function "ror" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return ROTATE_RIGHT(ARG, COUNT);
else
return ROTATE_LEFT(ARG, -COUNT);
end if;
end function "ror";
------------------------------------------------------------------------------
-- Note: Function S.17 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.17
function "sla" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sla";
------------------------------------------------------------------------------
-- Note: Function S.18 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.18
function "sla" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sla";
------------------------------------------------------------------------------
-- Note: Function S.19 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.19
function "sra" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "sra";
------------------------------------------------------------------------------
-- Note: Function S.20 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.20
function "sra" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "sra";
-- ============================================================================
-- Id: D.1
function TO_INTEGER (ARG : UNRESOLVED_UNSIGNED) return NATURAL is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XXARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0) is ARG;
variable XARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0);
variable RESULT : NATURAL := 0;
begin
if (ARG'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: null detected, returning 0"
severity warning;
return 0;
end if;
XARG := TO_01(XXARG, 'X');
if (XARG(XARG'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: metavalue detected, returning 0"
severity warning;
return 0;
end if;
for I in XARG'range loop
RESULT := RESULT+RESULT;
if XARG(I) = '1' then
RESULT := RESULT + 1;
end if;
end loop;
return RESULT;
end function TO_INTEGER;
-- Id: D.2
function TO_INTEGER (ARG : UNRESOLVED_SIGNED) return INTEGER is
variable XARG : UNRESOLVED_SIGNED(ARG'length-1 downto 0);
begin
if (ARG'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: null detected, returning 0"
severity warning;
return 0;
end if;
XARG := TO_01(ARG, 'X');
if (XARG(XARG'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: metavalue detected, returning 0"
severity warning;
return 0;
end if;
if XARG(XARG'left) = '0' then
return TO_INTEGER(UNRESOLVED_UNSIGNED(XARG));
else
return (- (TO_INTEGER(UNRESOLVED_UNSIGNED(- (XARG + 1)))) -1);
end if;
end function TO_INTEGER;
-- Id: D.3
function TO_UNSIGNED (ARG, SIZE : NATURAL) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable I_VAL : NATURAL := ARG;
begin
if (SIZE < 1) then return NAU;
end if;
for I in 0 to RESULT'left loop
if (I_VAL mod 2) = 0 then
RESULT(I) := '0';
else RESULT(I) := '1';
end if;
I_VAL := I_VAL/2;
end loop;
if not(I_VAL = 0) then
assert NO_WARNING
report "NUMERIC_STD.TO_UNSIGNED: vector truncated"
severity warning;
end if;
return RESULT;
end function TO_UNSIGNED;
-- Id: D.4
function TO_SIGNED (ARG : INTEGER; SIZE : NATURAL) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable B_VAL : STD_LOGIC := '0';
variable I_VAL : INTEGER := ARG;
begin
if (SIZE < 1) then return NAS;
end if;
if (ARG < 0) then
B_VAL := '1';
I_VAL := -(ARG+1);
end if;
for I in 0 to RESULT'left loop
if (I_VAL mod 2) = 0 then
RESULT(I) := B_VAL;
else
RESULT(I) := not B_VAL;
end if;
I_VAL := I_VAL/2;
end loop;
if ((I_VAL /= 0) or (B_VAL /= RESULT(RESULT'left))) then
assert NO_WARNING
report "NUMERIC_STD.TO_SIGNED: vector truncated"
severity warning;
end if;
return RESULT;
end function TO_SIGNED;
function TO_UNSIGNED (ARG : NATURAL; SIZE_RES : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED (ARG => ARG,
SIZE => SIZE_RES'length);
end function TO_UNSIGNED;
function TO_SIGNED (ARG : INTEGER; SIZE_RES : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return TO_SIGNED (ARG => ARG,
SIZE => SIZE_RES'length);
end function TO_SIGNED;
-- ============================================================================
-- Id: R.1
function RESIZE (ARG : UNRESOLVED_SIGNED; NEW_SIZE : NATURAL)
return UNRESOLVED_SIGNED
is
alias INVEC : UNRESOLVED_SIGNED(ARG'length-1 downto 0) is ARG;
variable RESULT : UNRESOLVED_SIGNED(NEW_SIZE-1 downto 0) :=
(others => '0');
constant BOUND : INTEGER := MINIMUM(ARG'length, RESULT'length)-2;
begin
if (NEW_SIZE < 1) then return NAS;
end if;
if (ARG'length = 0) then return RESULT;
end if;
RESULT := (others => ARG(ARG'left));
if BOUND >= 0 then
RESULT(BOUND downto 0) := INVEC(BOUND downto 0);
end if;
return RESULT;
end function RESIZE;
-- Id: R.2
function RESIZE (ARG : UNRESOLVED_UNSIGNED; NEW_SIZE : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT : UNRESOLVED_UNSIGNED(NEW_SIZE-1 downto 0) :=
(others => '0');
begin
if (NEW_SIZE < 1) then return NAU;
end if;
if XARG'length = 0 then return RESULT;
end if;
if (RESULT'length < ARG'length) then
RESULT(RESULT'left downto 0) := XARG(RESULT'left downto 0);
else
RESULT(RESULT'left downto XARG'left+1) := (others => '0');
RESULT(XARG'left downto 0) := XARG;
end if;
return RESULT;
end function RESIZE;
function RESIZE (ARG, SIZE_RES : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return RESIZE (ARG => ARG,
NEW_SIZE => SIZE_RES'length);
end function RESIZE;
function RESIZE (ARG, SIZE_RES : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return RESIZE (ARG => ARG,
NEW_SIZE => SIZE_RES'length);
end function RESIZE;
-- ============================================================================
-- Id: L.1
function "not" (L : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(not(STD_ULOGIC_VECTOR(L)));
return RESULT;
end function "not";
-- Id: L.2
function "and" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) and
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "and";
-- Id: L.3
function "or" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) or
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "or";
-- Id: L.4
function "nand" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) nand
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nand";
-- Id: L.5
function "nor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) nor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nor";
-- Id: L.6
function "xor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) xor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.7 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.7
function "xnor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) xnor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xnor";
-- Id: L.8
function "not" (L : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(not(STD_ULOGIC_VECTOR(L)));
return RESULT;
end function "not";
-- Id: L.9
function "and" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) and STD_ULOGIC_VECTOR(R));
return RESULT;
end function "and";
-- Id: L.10
function "or" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) or STD_ULOGIC_VECTOR(R));
return RESULT;
end function "or";
-- Id: L.11
function "nand" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) nand
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nand";
-- Id: L.12
function "nor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) nor STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nor";
-- Id: L.13
function "xor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) xor STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.14 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.14
function "xnor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) xnor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xnor";
-- Id: L.15
function "and" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L and STD_ULOGIC_VECTOR(R));
end function "and";
-- Id: L.16
function "and" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) and R);
end function "and";
-- Id: L.17
function "or" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L or STD_ULOGIC_VECTOR(R));
end function "or";
-- Id: L.18
function "or" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) or R);
end function "or";
-- Id: L.19
function "nand" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L nand STD_ULOGIC_VECTOR(R));
end function "nand";
-- Id: L.20
function "nand" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) nand R);
end function "nand";
-- Id: L.21
function "nor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L nor STD_ULOGIC_VECTOR(R));
end function "nor";
-- Id: L.22
function "nor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) nor R);
end function "nor";
-- Id: L.23
function "xor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L xor STD_ULOGIC_VECTOR(R));
end function "xor";
-- Id: L.24
function "xor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) xor R);
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.25 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.25
function "xnor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L xnor STD_ULOGIC_VECTOR(R));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.26 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.26
function "xnor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) xnor R);
end function "xnor";
-- Id: L.27
function "and" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L and STD_ULOGIC_VECTOR(R));
end function "and";
-- Id: L.28
function "and" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) and R);
end function "and";
-- Id: L.29
function "or" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L or STD_ULOGIC_VECTOR(R));
end function "or";
-- Id: L.30
function "or" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) or R);
end function "or";
-- Id: L.31
function "nand" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L nand STD_ULOGIC_VECTOR(R));
end function "nand";
-- Id: L.32
function "nand" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) nand R);
end function "nand";
-- Id: L.33
function "nor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L nor STD_ULOGIC_VECTOR(R));
end function "nor";
-- Id: L.34
function "nor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) nor R);
end function "nor";
-- Id: L.35
function "xor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L xor STD_ULOGIC_VECTOR(R));
end function "xor";
-- Id: L.36
function "xor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) xor R);
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.37 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.37
function "xnor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L xnor STD_ULOGIC_VECTOR(R));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.38 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.38
function "xnor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) xnor R);
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.39 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.39
function "and" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return and (STD_ULOGIC_VECTOR (L));
end function "and";
------------------------------------------------------------------------------
-- Note: Function L.40 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.40
function "and" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return and (STD_ULOGIC_VECTOR (L));
end function "and";
------------------------------------------------------------------------------
-- Note: Function L.41 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.41
function "nand" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return nand (STD_ULOGIC_VECTOR (L));
end function "nand";
------------------------------------------------------------------------------
-- Note: Function L.42 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.42
function "nand" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return nand (STD_ULOGIC_VECTOR (L));
end function "nand";
------------------------------------------------------------------------------
-- Note: Function L.43 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.43
function "or" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return or (STD_ULOGIC_VECTOR (L));
end function "or";
------------------------------------------------------------------------------
-- Note: Function L.44 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.44
function "or" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return or (STD_ULOGIC_VECTOR (L));
end function "or";
------------------------------------------------------------------------------
-- Note: Function L.45 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.45
function "nor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return nor (STD_ULOGIC_VECTOR (L));
end function "nor";
------------------------------------------------------------------------------
-- Note: Function L.46 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.46
function "nor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return nor (STD_ULOGIC_VECTOR (L));
end function "nor";
------------------------------------------------------------------------------
-- Note: Function L.47 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.47
function "xor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return xor (STD_ULOGIC_VECTOR (L));
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.48 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.48
function "xor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return xor (STD_ULOGIC_VECTOR (L));
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.49 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.49
function "xnor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return xnor (STD_ULOGIC_VECTOR (L));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.50 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.50
function "xnor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return xnor (STD_ULOGIC_VECTOR (L));
end function "xnor";
-- ============================================================================
-- support constants for STD_MATCH:
type BOOLEAN_TABLE is array(STD_ULOGIC, STD_ULOGIC) of BOOLEAN;
constant MATCH_TABLE : BOOLEAN_TABLE := (
--------------------------------------------------------------------------
-- U X 0 1 Z W L H -
--------------------------------------------------------------------------
(false, false, false, false, false, false, false, false, true), -- | U |
(false, false, false, false, false, false, false, false, true), -- | X |
(false, false, true, false, false, false, true, false, true), -- | 0 |
(false, false, false, true, false, false, false, true, true), -- | 1 |
(false, false, false, false, false, false, false, false, true), -- | Z |
(false, false, false, false, false, false, false, false, true), -- | W |
(false, false, true, false, false, false, true, false, true), -- | L |
(false, false, false, true, false, false, false, true, true), -- | H |
(true, true, true, true, true, true, true, true, true) -- | - |
);
-- Id: M.1
function STD_MATCH (L, R : STD_ULOGIC) return BOOLEAN is
variable VALUE : STD_ULOGIC;
begin
return MATCH_TABLE(L, R);
end function STD_MATCH;
-- Id: M.2
function STD_MATCH (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
alias LV : UNRESOLVED_UNSIGNED(1 to L'length) is L;
alias RV : UNRESOLVED_UNSIGNED(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- Id: M.3
function STD_MATCH (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
alias LV : UNRESOLVED_SIGNED(1 to L'length) is L;
alias RV : UNRESOLVED_SIGNED(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- Id: M.5
function STD_MATCH (L, R : STD_ULOGIC_VECTOR) return BOOLEAN is
alias LV : STD_ULOGIC_VECTOR(1 to L'length) is L;
alias RV : STD_ULOGIC_VECTOR(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- ============================================================================
-- function TO_01 is used to convert vectors to the
-- correct form for exported functions,
-- and to report if there is an element which
-- is not in (0, 1, H, L).
-- Id: T.1
function TO_01 (S : UNRESOLVED_UNSIGNED; XMAP : STD_ULOGIC := '0')
return UNRESOLVED_UNSIGNED is
begin
if (S'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_01: null detected, returning NAU"
severity warning;
return NAU;
end if;
return UNRESOLVED_UNSIGNED(TO_01(STD_ULOGIC_VECTOR(S), XMAP));
end function TO_01;
-- Id: T.2
function TO_01 (S : UNRESOLVED_SIGNED; XMAP : STD_ULOGIC := '0')
return UNRESOLVED_SIGNED is
begin
if (S'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_01: null detected, returning NAS"
severity warning;
return NAS;
end if;
return UNRESOLVED_SIGNED(TO_01(STD_ULOGIC_VECTOR(S), XMAP));
end function TO_01;
-- Id: T.3
function TO_X01 (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_X01(STD_ULOGIC_VECTOR(S)));
end function TO_X01;
-- Id: T.4
function TO_X01 (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_X01(STD_ULOGIC_VECTOR(S)));
end function TO_X01;
-- Id: T.5
function TO_X01Z (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_X01Z(STD_ULOGIC_VECTOR(S)));
end function TO_X01Z;
-- Id: T.6
function TO_X01Z (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_X01Z(STD_ULOGIC_VECTOR(S)));
end function TO_X01Z;
-- Id: T.7
function TO_UX01 (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_UX01(STD_ULOGIC_VECTOR(S)));
end function TO_UX01;
-- Id: T.8
function TO_UX01 (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_UX01(STD_ULOGIC_VECTOR(S)));
end function TO_UX01;
-- Id: T.9
function IS_X (S : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return IS_X(STD_ULOGIC_VECTOR(S));
end function IS_X;
-- Id: T.10
function IS_X (S : UNRESOLVED_SIGNED) return BOOLEAN is
begin
return IS_X(STD_ULOGIC_VECTOR(S));
end function IS_X;
-- ============================================================================
-- string conversion and write operations
-- ============================================================================
function to_ostring (value : UNRESOLVED_UNSIGNED) return STRING is
begin
return to_ostring(STD_ULOGIC_VECTOR (value));
end function to_ostring;
function to_ostring (value : UNRESOLVED_SIGNED) return STRING is
constant result_length : INTEGER := (value'length+2)/3;
constant pad : STD_ULOGIC_VECTOR(1 to (result_length*3 -
value'length))
:= (others => value (value'left)); -- Extend sign bit
begin
return to_ostring(pad & STD_ULOGIC_VECTOR (value));
end function to_ostring;
function to_hstring (value : UNRESOLVED_UNSIGNED) return STRING is
begin
return to_hstring(STD_ULOGIC_VECTOR (value));
end function to_hstring;
function to_hstring (value : UNRESOLVED_SIGNED) return STRING is
constant result_length : INTEGER := (value'length+3)/4;
constant pad : STD_ULOGIC_VECTOR(1 to (result_length*4 -
value'length))
:= (others => value (value'left)); -- Extend sign bit
begin
return to_hstring(pad & STD_ULOGIC_VECTOR (value));
end function to_hstring;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := SIGNED(ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue);
VALUE := SIGNED (ivalue);
end procedure READ;
procedure WRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
WRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure WRITE;
procedure WRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
WRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure WRITE;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
OREAD (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
constant ne : INTEGER := (value'length+2)/3;
constant pad : INTEGER := ne*3 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*3-1);
variable ok : BOOLEAN;
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
OREAD (L => L,
VALUE => ivalue, -- Read padded STRING
GOOD => ok);
-- Bail out if there was a bad read
if not ok then
GOOD := false;
return;
end if;
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
GOOD := false;
else
GOOD := true;
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
OREAD (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
constant ne : INTEGER := (value'length+2)/3;
constant pad : INTEGER := ne*3 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*3-1);
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
OREAD (L => L,
VALUE => ivalue); -- Read padded string
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
assert false
report "NUMERIC_STD.OREAD Error: Signed vector truncated"
severity error;
else
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure OREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
HREAD (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
constant ne : INTEGER := (value'length+3)/4;
constant pad : INTEGER := ne*4 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*4-1);
variable ok : BOOLEAN;
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
HREAD (L => L,
VALUE => ivalue, -- Read padded STRING
GOOD => ok);
if not ok then
GOOD := false;
return;
end if;
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
GOOD := false;
else
GOOD := true;
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
HREAD (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
constant ne : INTEGER := (value'length+3)/4;
constant pad : INTEGER := ne*4 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*4-1);
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
HREAD (L => L,
VALUE => ivalue); -- Read padded string
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
assert false
report "NUMERIC_STD.HREAD Error: Signed vector truncated"
severity error;
else
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure HREAD;
procedure OWRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
OWRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure OWRITE;
procedure OWRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
constant ne : INTEGER := (VALUE'length+2)/3;
constant pad : STD_ULOGIC_VECTOR(0 to (ne*3 - VALUE'length) - 1)
:= (others => VALUE (VALUE'left));
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
OWRITE (L => L,
VALUE => pad & ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure OWRITE;
procedure HWRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
HWRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure HWRITE;
procedure HWRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
constant ne : INTEGER := (value'length+3)/4;
constant pad : STD_ULOGIC_VECTOR(0 to (ne*4 - value'length) - 1)
:= (others => VALUE(VALUE'left));
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
HWRITE (L => L,
VALUE => pad & ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure HWRITE;
end package body NUMERIC_STD;
|
-- --------------------------------------------------------------------
--
-- Copyright © 2008 by IEEE. All rights reserved.
--
-- This source file is an essential part of IEEE Std 1076-2008,
-- IEEE Standard VHDL Language Reference Manual. This source file may not be
-- copied, sold, or included with software that is sold without written
-- permission from the IEEE Standards Department. This source file may be
-- copied for individual use between licensed users. This source file is
-- provided on an AS IS basis. The IEEE disclaims ANY WARRANTY EXPRESS OR
-- IMPLIED INCLUDING ANY WARRANTY OF MERCHANTABILITY AND FITNESS FOR USE
-- FOR A PARTICULAR PURPOSE. The user of the source file shall indemnify
-- and hold IEEE harmless from any damages or liability arising out of the
-- use thereof.
--
-- Title : Standard VHDL Synthesis Packages
-- : (NUMERIC_STD package body)
-- :
-- Library : This package shall be compiled into a library
-- : symbolically named IEEE.
-- :
-- Developers: IEEE DASC Synthesis Working Group,
-- : Accellera VHDL-TC, and IEEE P1076 Working Group
-- :
-- Purpose : This package defines numeric types and arithmetic functions
-- : for use with synthesis tools. Two numeric types are defined:
-- : -- > UNRESOLVED_UNSIGNED: represents an UNSIGNED number
-- : in vector form
-- : -- > UNRESOLVED_SIGNED: represents a SIGNED number
-- : in vector form
-- : The base element type is type STD_ULOGIC.
-- : Aliases U_UNSIGNED and U_SIGNED are defined for the types
-- : UNRESOLVED_UNSIGNED and UNRESOLVED_SIGNED, respectively.
-- : Two numeric subtypes are defined:
-- : -- > UNSIGNED: represents UNSIGNED number in vector form
-- : -- > SIGNED: represents a SIGNED number in vector form
-- : The element subtypes are the same subtype as STD_LOGIC.
-- : The leftmost bit is treated as the most significant bit.
-- : Signed vectors are represented in two's complement form.
-- : This package contains overloaded arithmetic operators on
-- : the SIGNED and UNSIGNED types. The package also contains
-- : useful type conversions functions, clock detection
-- : functions, and other utility functions.
-- :
-- : If any argument to a function is a null array, a null array
-- : is returned (exceptions, if any, are noted individually).
--
-- Note : This package may be modified to include additional data
-- : required by tools, but it must in no way change the
-- : external interfaces or simulation behavior of the
-- : description. It is permissible to add comments and/or
-- : attributes to the package declarations, but not to change
-- : or delete any original lines of the package declaration.
-- : The package body may be changed only in accordance with
-- : the terms of Clause 16 of this standard.
-- :
-- --------------------------------------------------------------------
-- $Revision: 1220 $
-- $Date: 2008-04-10 17:16:09 +0930 (Thu, 10 Apr 2008) $
-- --------------------------------------------------------------------
package body NUMERIC_STD is
-- null range array constants
constant NAU : UNRESOLVED_UNSIGNED (0 downto 1) := (others => '0');
constant NAS : UNRESOLVED_SIGNED (0 downto 1) := (others => '0');
-- implementation controls
constant NO_WARNING : BOOLEAN := false; -- default to emit warnings
-- =========================Local Subprograms =================================
function SIGNED_NUM_BITS (ARG : INTEGER) return NATURAL is
variable NBITS : NATURAL;
variable N : NATURAL;
begin
if ARG >= 0 then
N := ARG;
else
N := -(ARG+1);
end if;
NBITS := 1;
while N > 0 loop
NBITS := NBITS+1;
N := N / 2;
end loop;
return NBITS;
end function SIGNED_NUM_BITS;
function UNSIGNED_NUM_BITS (ARG : NATURAL) return NATURAL is
variable NBITS : NATURAL;
variable N : NATURAL;
begin
N := ARG;
NBITS := 1;
while N > 1 loop
NBITS := NBITS+1;
N := N / 2;
end loop;
return NBITS;
end function UNSIGNED_NUM_BITS;
------------------------------------------------------------------------
-- this internal function computes the addition of two UNRESOLVED_UNSIGNED
-- with input CARRY
-- * the two arguments are of the same length
function ADD_UNSIGNED (L, R : UNRESOLVED_UNSIGNED; C : STD_LOGIC)
return UNRESOLVED_UNSIGNED
is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is R;
variable RESULT : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable CBIT : STD_LOGIC := C;
begin
for I in 0 to L_LEFT loop
RESULT(I) := CBIT xor XL(I) xor XR(I);
CBIT := (CBIT and XL(I)) or (CBIT and XR(I)) or (XL(I) and XR(I));
end loop;
return RESULT;
end function ADD_UNSIGNED;
-- this internal function computes the addition of two UNRESOLVED_SIGNED
-- with input CARRY
-- * the two arguments are of the same length
function ADD_SIGNED (L, R : UNRESOLVED_SIGNED; C : STD_LOGIC)
return UNRESOLVED_SIGNED
is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(L_LEFT downto 0) is R;
variable RESULT : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable CBIT : STD_LOGIC := C;
begin
for I in 0 to L_LEFT loop
RESULT(I) := CBIT xor XL(I) xor XR(I);
CBIT := (CBIT and XL(I)) or (CBIT and XR(I)) or (XL(I) and XR(I));
end loop;
return RESULT;
end function ADD_SIGNED;
-----------------------------------------------------------------------------
-- this internal procedure computes UNSIGNED division
-- giving the quotient and remainder.
procedure DIVMOD (NUM, XDENOM : UNRESOLVED_UNSIGNED;
XQUOT, XREMAIN : out UNRESOLVED_UNSIGNED) is
variable TEMP : UNRESOLVED_UNSIGNED(NUM'length downto 0);
variable QUOT : UNRESOLVED_UNSIGNED(MAXIMUM(NUM'length, XDENOM'length)-1
downto 0);
alias DENOM : UNRESOLVED_UNSIGNED(XDENOM'length-1 downto 0) is XDENOM;
variable TOPBIT : INTEGER;
begin
TEMP := "0"&NUM;
QUOT := (others => '0');
TOPBIT := -1;
for J in DENOM'range loop
if DENOM(J) = '1' then
TOPBIT := J;
exit;
end if;
end loop;
assert TOPBIT >= 0 report "NUMERIC_STD.DIVMOD: DIV, MOD, or REM by zero"
severity error;
for J in NUM'length-(TOPBIT+1) downto 0 loop
if TEMP(TOPBIT+J+1 downto J) >= "0"&DENOM(TOPBIT downto 0) then
TEMP(TOPBIT+J+1 downto J) := (TEMP(TOPBIT+J+1 downto J))
-("0"&DENOM(TOPBIT downto 0));
QUOT(J) := '1';
end if;
assert TEMP(TOPBIT+J+1) = '0'
report "NUMERIC_STD.DIVMOD: internal error in the division algorithm"
severity error;
end loop;
XQUOT := RESIZE(QUOT, XQUOT'length);
XREMAIN := RESIZE(TEMP, XREMAIN'length);
end procedure DIVMOD;
-----------------Local Subprograms - shift/rotate ops-------------------------
function XSLL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := (others => '0');
begin
if COUNT <= ARG_L then
RESULT(ARG_L downto COUNT) := XARG(ARG_L-COUNT downto 0);
end if;
return RESULT;
end function XSLL;
function XSRL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := (others => '0');
begin
if COUNT <= ARG_L then
RESULT(ARG_L-COUNT downto 0) := XARG(ARG_L downto COUNT);
end if;
return RESULT;
end function XSRL;
function XSRA (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0);
variable XCOUNT : NATURAL := COUNT;
begin
if ((ARG'length <= 1) or (XCOUNT = 0)) then return ARG;
else
if (XCOUNT > ARG_L) then XCOUNT := ARG_L;
end if;
RESULT(ARG_L-XCOUNT downto 0) := XARG(ARG_L downto XCOUNT);
RESULT(ARG_L downto (ARG_L - XCOUNT + 1)) := (others => XARG(ARG_L));
end if;
return RESULT;
end function XSRA;
function XROL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := XARG;
variable COUNTM : INTEGER;
begin
COUNTM := COUNT mod (ARG_L + 1);
if COUNTM /= 0 then
RESULT(ARG_L downto COUNTM) := XARG(ARG_L-COUNTM downto 0);
RESULT(COUNTM-1 downto 0) := XARG(ARG_L downto ARG_L-COUNTM+1);
end if;
return RESULT;
end function XROL;
function XROR (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := XARG;
variable COUNTM : INTEGER;
begin
COUNTM := COUNT mod (ARG_L + 1);
if COUNTM /= 0 then
RESULT(ARG_L-COUNTM downto 0) := XARG(ARG_L downto COUNTM);
RESULT(ARG_L downto ARG_L-COUNTM+1) := XARG(COUNTM-1 downto 0);
end if;
return RESULT;
end function XROR;
-----------------Local Subprograms - Relational ops---------------------------
--
-- General "=" for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_EQUAL (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) = STD_ULOGIC_VECTOR(R);
end function UNSIGNED_EQUAL;
--
-- General "=" for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_EQUAL (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) = STD_ULOGIC_VECTOR(R);
end function SIGNED_EQUAL;
--
-- General "<" for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_LESS (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) < STD_ULOGIC_VECTOR(R);
end function UNSIGNED_LESS;
--
-- General "<" function for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_LESS (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
variable INTERN_L : UNRESOLVED_SIGNED(0 to L'length-1);
variable INTERN_R : UNRESOLVED_SIGNED(0 to R'length-1);
begin
INTERN_L := L;
INTERN_R := R;
INTERN_L(0) := not INTERN_L(0);
INTERN_R(0) := not INTERN_R(0);
return STD_ULOGIC_VECTOR(INTERN_L) < STD_ULOGIC_VECTOR(INTERN_R);
end function SIGNED_LESS;
--
-- General "<=" function for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_LESS_OR_EQUAL (L, R : UNRESOLVED_UNSIGNED)
return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) <= STD_ULOGIC_VECTOR(R);
end function UNSIGNED_LESS_OR_EQUAL;
--
-- General "<=" function for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_LESS_OR_EQUAL (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
-- Need aliases to assure index direction
variable INTERN_L : UNRESOLVED_SIGNED(0 to L'length-1);
variable INTERN_R : UNRESOLVED_SIGNED(0 to R'length-1);
begin
INTERN_L := L;
INTERN_R := R;
INTERN_L(0) := not INTERN_L(0);
INTERN_R(0) := not INTERN_R(0);
return STD_ULOGIC_VECTOR(INTERN_L) <= STD_ULOGIC_VECTOR(INTERN_R);
end function SIGNED_LESS_OR_EQUAL;
-- =========================Exported Functions ==========================
-- Id: A.1
function "abs" (ARG : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_SIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT : UNRESOLVED_SIGNED(ARG_LEFT downto 0);
begin
if ARG'length < 1 then return NAS;
end if;
RESULT := TO_01(XARG, 'X');
if (RESULT(RESULT'left) = 'X') then return RESULT;
end if;
if RESULT(RESULT'left) = '1' then
RESULT := -RESULT;
end if;
return RESULT;
end function "abs";
-- Id: A.2
function "-" (ARG : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_SIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT, XARG01 : UNRESOLVED_SIGNED(ARG_LEFT downto 0);
variable CBIT : STD_LOGIC := '1';
begin
if ARG'length < 1 then return NAS;
end if;
XARG01 := TO_01(ARG, 'X');
if (XARG01(XARG01'left) = 'X') then return XARG01;
end if;
for I in 0 to RESULT'left loop
RESULT(I) := not(XARG01(I)) xor CBIT;
CBIT := CBIT and not(XARG01(I));
end loop;
return RESULT;
end function "-";
-- ============================================================================
-- Id: A.3
function "+" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_UNSIGNED(L01, R01, '0');
end function "+";
-- Id: A.3R
function "+" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED
is
variable XR : UNRESOLVED_UNSIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L + XR);
end function "+";
-- Id: A.3L
function "+" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
variable XL : UNRESOLVED_UNSIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL + R);
end function "+";
-- Id: A.4
function "+" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_SIGNED(L01, R01, '0');
end function "+";
-- Id: A.4R
function "+" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED
is
variable XR : UNRESOLVED_SIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L + XR);
end function "+";
-- Id: A.4L
function "+" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
variable XL : UNRESOLVED_SIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL + R);
end function "+";
-- Id: A.5
function "+" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L + TO_UNSIGNED(R, L'length);
end function "+";
-- Id: A.6
function "+" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) + R;
end function "+";
-- Id: A.7
function "+" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return L + TO_SIGNED(R, L'length);
end function "+";
-- Id: A.8
function "+" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) + R;
end function "+";
-- ============================================================================
-- Id: A.9
function "-" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_UNSIGNED(L01, not(R01), '1');
end function "-";
-- Id: A.9R
function "-" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED
is
variable XR : UNRESOLVED_UNSIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L - XR);
end function "-";
-- Id: A.9L
function "-" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
variable XL : UNRESOLVED_UNSIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL - R);
end function "-";
-- Id: A.10
function "-" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_SIGNED(L01, not(R01), '1');
end function "-";
-- Id: A.10R
function "-" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED
is
variable XR : UNRESOLVED_SIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L - XR);
end function "-";
-- Id: A.10L
function "-" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
variable XL : UNRESOLVED_SIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL - R);
end function "-";
-- Id: A.11
function "-" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L - TO_UNSIGNED(R, L'length);
end function "-";
-- Id: A.12
function "-" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) - R;
end function "-";
-- Id: A.13
function "-" (L : UNRESOLVED_SIGNED; R : INTEGER) return UNRESOLVED_SIGNED is
begin
return L - TO_SIGNED(R, L'length);
end function "-";
-- Id: A.14
function "-" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) - R;
end function "-";
-- ============================================================================
-- Id: A.15
function "*" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable RESULT : UNRESOLVED_UNSIGNED((L'length+R'length-1) downto 0) :=
(others => '0');
variable ADVAL : UNRESOLVED_UNSIGNED((L'length+R'length-1) downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
RESULT := (others => 'X');
return RESULT;
end if;
ADVAL := RESIZE(XR, RESULT'length);
for I in 0 to L_LEFT loop
if XL(I) = '1' then RESULT := RESULT + ADVAL;
end if;
ADVAL := SHIFT_LEFT(ADVAL, 1);
end loop;
return RESULT;
end function "*";
-- Id: A.16
function "*" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable RESULT : UNRESOLVED_SIGNED((L_LEFT+R_LEFT+1) downto 0) :=
(others => '0');
variable ADVAL : UNRESOLVED_SIGNED((L_LEFT+R_LEFT+1) downto 0);
begin
if ((L_LEFT < 0) or (R_LEFT < 0)) then return NAS;
end if;
XL := TO_01(L, 'X');
XR := TO_01(R, 'X');
if ((XL(L_LEFT) = 'X') or (XR(R_LEFT) = 'X')) then
RESULT := (others => 'X');
return RESULT;
end if;
ADVAL := RESIZE(XR, RESULT'length);
for I in 0 to L_LEFT-1 loop
if XL(I) = '1' then RESULT := RESULT + ADVAL;
end if;
ADVAL := SHIFT_LEFT(ADVAL, 1);
end loop;
if XL(L_LEFT) = '1' then
RESULT := RESULT - ADVAL;
end if;
return RESULT;
end function "*";
-- Id: A.17
function "*" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L * TO_UNSIGNED(R, L'length);
end function "*";
-- Id: A.18
function "*" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) * R;
end function "*";
-- Id: A.19
function "*" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return L * TO_SIGNED(R, L'length);
end function "*";
-- Id: A.20
function "*" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) * R;
end function "*";
-- ============================================================================
-- Id: A.21
function "/" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FQUOT := (others => 'X');
return FQUOT;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FQUOT;
end function "/";
-- Id: A.22
function "/" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable QNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FQUOT := (others => 'X');
return UNRESOLVED_SIGNED(FQUOT);
end if;
if XL(XL'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-XL);
QNEG := true;
else
XNUM := UNRESOLVED_UNSIGNED(XL);
end if;
if XR(XR'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-XR);
QNEG := not QNEG;
else
XDENOM := UNRESOLVED_UNSIGNED(XR);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if QNEG then FQUOT := "0"-FQUOT;
end if;
return UNRESOLVED_SIGNED(FQUOT);
end function "/";
-- Id: A.23
function "/" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, QUOT : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
if (R_LENGTH > L'length) then
QUOT := (others => '0');
return RESIZE(QUOT, L'length);
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
QUOT := RESIZE((L / XR), QUOT'length);
return RESIZE(QUOT, L'length);
end function "/";
-- Id: A.24
function "/" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, QUOT : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAU;
end if;
XL := TO_UNSIGNED(L, L_LENGTH);
QUOT := RESIZE((XL / R), QUOT'length);
if L_LENGTH > R'length and QUOT(0) /= 'X'
and QUOT(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""/"": Quotient Truncated"
severity warning;
end if;
return RESIZE(QUOT, R'length);
end function "/";
-- Id: A.25
function "/" (L : UNRESOLVED_SIGNED; R : INTEGER) return UNRESOLVED_SIGNED is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, QUOT : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
if (R_LENGTH > L'length) then
QUOT := (others => '0');
return RESIZE(QUOT, L'length);
end if;
XR := TO_SIGNED(R, R_LENGTH);
QUOT := RESIZE((L / XR), QUOT'length);
return RESIZE(QUOT, L'length);
end function "/";
-- Id: A.26
function "/" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, QUOT : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
QUOT := RESIZE((XL / R), QUOT'length);
if L_LENGTH > R'length and QUOT(0) /= 'X'
and QUOT(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => QUOT(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""/"": Quotient Truncated"
severity warning;
end if;
return RESIZE(QUOT, R'length);
end function "/";
-- ============================================================================
-- Id: A.27
function "rem" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return FREMAIN;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FREMAIN;
end function "rem";
-- Id: A.28
function "rem" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable RNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XNUM := UNRESOLVED_UNSIGNED(TO_01(XXL, 'X'));
XDENOM := UNRESOLVED_UNSIGNED(TO_01(XXR, 'X'));
if ((XNUM(XNUM'left) = 'X') or (XDENOM(XDENOM'left) = 'X')) then
FREMAIN := (others => 'X');
return UNRESOLVED_SIGNED(FREMAIN);
end if;
if XNUM(XNUM'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-UNRESOLVED_SIGNED(XNUM));
RNEG := true;
else
XNUM := UNRESOLVED_UNSIGNED(XNUM);
end if;
if XDENOM(XDENOM'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-UNRESOLVED_SIGNED(XDENOM));
else
XDENOM := UNRESOLVED_UNSIGNED(XDENOM);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if RNEG then
FREMAIN := "0"-FREMAIN;
end if;
return UNRESOLVED_SIGNED(FREMAIN);
end function "rem";
-- Id: A.29
function "rem" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
XREM := L rem XR;
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "rem";
-- Id: A.30
function "rem" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
XL := TO_UNSIGNED(L, L_LENGTH);
XREM := XL rem R;
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "rem";
-- Id: A.31
function "rem" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
XR := TO_SIGNED(R, R_LENGTH);
XREM := RESIZE((L rem XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => XREM(L'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "rem";
-- Id: A.32
function "rem" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
XREM := RESIZE((XL rem R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => XREM(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "rem";
-- ============================================================================
-- Id: A.33
function "mod" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return FREMAIN;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FREMAIN;
end function "mod";
-- Id: A.34
function "mod" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable RNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return UNRESOLVED_SIGNED(FREMAIN);
end if;
if XL(XL'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-XL);
else
XNUM := UNRESOLVED_UNSIGNED(XL);
end if;
if XR(XR'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-XR);
RNEG := true;
else
XDENOM := UNRESOLVED_UNSIGNED(XR);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if RNEG and L(L'left) = '1' then
FREMAIN := "0"-FREMAIN;
elsif RNEG and FREMAIN /= "0" then
FREMAIN := FREMAIN-XDENOM;
elsif L(L'left) = '1' and FREMAIN /= "0" then
FREMAIN := XDENOM-FREMAIN;
end if;
return UNRESOLVED_SIGNED(FREMAIN);
end function "mod";
-- Id: A.35
function "mod" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
XREM := RESIZE((L mod XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "mod";
-- Id: A.36
function "mod" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAU;
end if;
XL := TO_UNSIGNED(L, L_LENGTH);
XREM := RESIZE((XL mod R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "mod";
-- Id: A.37
function "mod" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
XR := TO_SIGNED(R, R_LENGTH);
XREM := RESIZE((L mod XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => XREM(L'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "mod";
-- Id: A.38
function "mod" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
XREM := RESIZE((XL mod R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => XREM(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "mod";
-- ============================================================================
-- Id: A.39
function find_leftmost (ARG : UNRESOLVED_UNSIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_leftmost;
-- Id: A.40
function find_leftmost (ARG : UNRESOLVED_SIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_leftmost;
-- Id: A.41
function find_rightmost (ARG : UNRESOLVED_UNSIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'reverse_range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_rightmost;
-- Id: A.42
function find_rightmost (ARG : UNRESOLVED_SIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'reverse_range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_rightmost;
-- ============================================================================
-- Id: C.1
function ">" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not UNSIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">";
-- Id: C.2
function ">" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not SIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">";
-- Id: C.3
function ">" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not UNSIGNED_LESS_OR_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function ">";
-- Id: C.4
function ">" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not SIGNED_LESS_OR_EQUAL(TO_SIGNED(L, R01'length), R01);
end function ">";
-- Id: C.5
function ">" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return false;
end if;
return not UNSIGNED_LESS_OR_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function ">";
-- Id: C.6
function ">" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not SIGNED_LESS_OR_EQUAL(L01, TO_SIGNED(R, L01'length));
end function ">";
-- ============================================================================
-- Id: C.7
function "<" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<";
-- Id: C.8
function "<" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<";
-- Id: C.9
function "<" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return UNSIGNED_LESS(TO_UNSIGNED(L, R01'length), R01);
end function "<";
-- Id: C.10
function "<" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return SIGNED_LESS(TO_SIGNED(L, R01'length), R01);
end function "<";
-- Id: C.11
function "<" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return UNSIGNED_LESS(L01, TO_UNSIGNED(R, L01'length));
end function "<";
-- Id: C.12
function "<" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return SIGNED_LESS(L01, TO_SIGNED(R, L01'length));
end function "<";
-- ============================================================================
-- Id: C.13
function "<=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<=";
-- Id: C.14
function "<=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<=";
-- Id: C.15
function "<=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return UNSIGNED_LESS_OR_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function "<=";
-- Id: C.16
function "<=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return SIGNED_LESS_OR_EQUAL(TO_SIGNED(L, R01'length), R01);
end function "<=";
-- Id: C.17
function "<=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L_LEFT < 0) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return UNSIGNED_LESS_OR_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function "<=";
-- Id: C.18
function "<=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L_LEFT < 0) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return SIGNED_LESS_OR_EQUAL(L01, TO_SIGNED(R, L01'length));
end function "<=";
-- ============================================================================
-- Id: C.19
function ">=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not UNSIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">=";
-- Id: C.20
function ">=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not SIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">=";
-- Id: C.21
function ">=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not UNSIGNED_LESS(TO_UNSIGNED(L, R01'length), R01);
end function ">=";
-- Id: C.22
function ">=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not SIGNED_LESS(TO_SIGNED(L, R01'length), R01);
end function ">=";
-- Id: C.23
function ">=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not UNSIGNED_LESS(L01, TO_UNSIGNED(R, L01'length));
end function ">=";
-- Id: C.24
function ">=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not SIGNED_LESS(L01, TO_SIGNED(R, L01'length));
end function ">=";
-- ============================================================================
-- Id: C.25
function "=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "=";
-- Id: C.26
function "=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "=";
-- Id: C.27
function "=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return false;
end if;
return UNSIGNED_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function "=";
-- Id: C.28
function "=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return false;
end if;
return SIGNED_EQUAL(TO_SIGNED(L, R01'length), R01);
end function "=";
-- Id: C.29
function "=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return false;
end if;
return UNSIGNED_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function "=";
-- Id: C.30
function "=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return false;
end if;
return SIGNED_EQUAL(L01, TO_SIGNED(R, L01'length));
end function "=";
-- ============================================================================
-- Id: C.31
function "/=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
return not(UNSIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE)));
end function "/=";
-- Id: C.32
function "/=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
return not(SIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE)));
end function "/=";
-- Id: C.33
function "/=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not(UNSIGNED_EQUAL(TO_UNSIGNED(L, R01'length), R01));
end function "/=";
-- Id: C.34
function "/=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if SIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not(SIGNED_EQUAL(TO_SIGNED(L, R01'length), R01));
end function "/=";
-- Id: C.35
function "/=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return true;
end if;
return not(UNSIGNED_EQUAL(L01, TO_UNSIGNED(R, L01'length)));
end function "/=";
-- Id: C.36
function "/=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if SIGNED_NUM_BITS(R) > L'length then return true;
end if;
return not(SIGNED_EQUAL(L01, TO_SIGNED(R, L01'length)));
end function "/=";
-- ============================================================================
-- Id: C.37
function MINIMUM (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if UNSIGNED_LESS(L01, R01) then
return L01;
else
return R01;
end if;
end function MINIMUM;
-- Id: C.38
function MINIMUM (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if SIGNED_LESS(L01, R01) then
return L01;
else
return R01;
end if;
end function MINIMUM;
-- Id: C.39
function MINIMUM (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return MINIMUM(TO_UNSIGNED(L, R'length), R);
end function MINIMUM;
-- Id: C.40
function MINIMUM (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return MINIMUM(TO_SIGNED(L, R'length), R);
end function MINIMUM;
-- Id: C.41
function MINIMUM (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return MINIMUM(L, TO_UNSIGNED(R, L'length));
end function MINIMUM;
-- Id: C.42
function MINIMUM (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return MINIMUM(L, TO_SIGNED(R, L'length));
end function MINIMUM;
-- ============================================================================
-- Id: C.43
function MAXIMUM (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if UNSIGNED_LESS(L01, R01) then
return R01;
else
return L01;
end if;
end function MAXIMUM;
-- Id: C.44
function MAXIMUM (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if SIGNED_LESS(L01, R01) then
return R01;
else
return L01;
end if;
end function MAXIMUM;
-- Id: C.45
function MAXIMUM (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return MAXIMUM(TO_UNSIGNED(L, R'length), R);
end function MAXIMUM;
-- Id: C.46
function MAXIMUM (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return MAXIMUM(TO_SIGNED(L, R'length), R);
end function MAXIMUM;
-- Id: C.47
function MAXIMUM (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return MAXIMUM(L, TO_UNSIGNED(R, L'length));
end function MAXIMUM;
-- Id: C.48
function MAXIMUM (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return MAXIMUM(L, TO_SIGNED(R, L'length));
end function MAXIMUM;
-- ============================================================================
-- Id: C.49
function "?>" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L > R then
return '1';
else
return '0';
end if;
end if;
end function "?>";
-- Id: C.50
function "?>" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L > R then
return '1';
else
return '0';
end if;
end if;
end function "?>";
-- Id: C.51
function "?>" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?> R;
end function "?>";
-- Id: C.52
function "?>" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?> R;
end function "?>";
-- Id: C.53
function "?>" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?> TO_UNSIGNED(R, L'length);
end function "?>";
-- Id: C.54
function "?>" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?> TO_SIGNED(R, L'length);
end function "?>";
-- ============================================================================
-- Id: C.55
function "?<" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L < R then
return '1';
else
return '0';
end if;
end if;
end function "?<";
-- Id: C.56
function "?<" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L < R then
return '1';
else
return '0';
end if;
end if;
end function "?<";
-- Id: C.57
function "?<" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?< R;
end function "?<";
-- Id: C.58
function "?<" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?< R;
end function "?<";
-- Id: C.59
function "?<" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?< TO_UNSIGNED(R, L'length);
end function "?<";
-- Id: C.60
function "?<" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?< TO_SIGNED(R, L'length);
end function "?<";
-- ============================================================================
-- Id: C.61
function "?<=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L <= R then
return '1';
else
return '0';
end if;
end if;
end function "?<=";
-- Id: C.62
function "?<=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L <= R then
return '1';
else
return '0';
end if;
end if;
end function "?<=";
-- Id: C.63
function "?<=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?<= R;
end function "?<=";
-- Id: C.64
function "?<=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?<= R;
end function "?<=";
-- Id: C.65
function "?<=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?<= TO_UNSIGNED(R, L'length);
end function "?<=";
-- Id: C.66
function "?<=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?<= TO_SIGNED(R, L'length);
end function "?<=";
-- ============================================================================
-- Id: C.67
function "?>=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L >= R then
return '1';
else
return '0';
end if;
end if;
end function "?>=";
-- Id: C.68
function "?>=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L >= R then
return '1';
else
return '0';
end if;
end if;
end function "?>=";
-- Id: C.69
function "?>=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?>= R;
end function "?>=";
-- Id: C.70
function "?>=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?>= R;
end function "?>=";
-- Id: C.71
function "?>=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?>= TO_UNSIGNED(R, L'length);
end function "?>=";
-- Id: C.72
function "?>=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?>= TO_SIGNED(R, L'length);
end function "?>=";
-- ============================================================================
-- Id: C.73
function "?=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin
-- Logically identical to an "=" operator.
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '1';
for i in LX'low to LX'high loop
result1 := LX(i) ?= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result and result1;
end if;
end loop;
return result;
end if;
end function "?=";
-- Id: C.74
function "?=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '1';
for i in LX'low to LX'high loop
result1 := LX(i) ?= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result and result1;
end if;
end loop;
return result;
end if;
end function "?=";
-- Id: C.75
function "?=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?= R;
end function "?=";
-- Id: C.76
function "?=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?= R;
end function "?=";
-- Id: C.77
function "?=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?= TO_UNSIGNED(R, L'length);
end function "?=";
-- Id: C.78
function "?=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?= TO_SIGNED(R, L'length);
end function "?=";
-- ============================================================================
-- Id: C.79
function "?/=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?/="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '0';
for i in LX'low to LX'high loop
result1 := LX(i) ?/= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result or result1;
end if;
end loop;
return result;
end if;
end function "?/=";
-- Id: C.80
function "?/=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?/="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '0';
for i in LX'low to LX'high loop
result1 := LX(i) ?/= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result or result1;
end if;
end loop;
return result;
end if;
end function "?/=";
-- Id: C.81
function "?/=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?/= R;
end function "?/=";
-- Id: C.82
function "?/=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?/= R;
end function "?/=";
-- Id: C.83
function "?/=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?/= TO_UNSIGNED(R, L'length);
end function "?/=";
-- Id: C.84
function "?/=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?/= TO_SIGNED(R, L'length);
end function "?/=";
-- ============================================================================
-- Id: S.1
function SHIFT_LEFT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XSLL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_LEFT;
-- Id: S.2
function SHIFT_RIGHT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XSRL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_RIGHT;
-- Id: S.3
function SHIFT_LEFT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XSLL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_LEFT;
-- Id: S.4
function SHIFT_RIGHT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XSRA(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_RIGHT;
-- ============================================================================
-- Id: S.5
function ROTATE_LEFT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XROL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_LEFT;
-- Id: S.6
function ROTATE_RIGHT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XROR(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_RIGHT;
-- Id: S.7
function ROTATE_LEFT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XROL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_LEFT;
-- Id: S.8
function ROTATE_RIGHT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XROR(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_RIGHT;
-- ============================================================================
------------------------------------------------------------------------------
-- Note: Function S.9 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.9
function "sll" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sll";
------------------------------------------------------------------------------
-- Note: Function S.10 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.10
function "sll" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return UNRESOLVED_SIGNED(SHIFT_RIGHT(UNRESOLVED_UNSIGNED(ARG), -COUNT));
end if;
end function "sll";
------------------------------------------------------------------------------
-- Note: Function S.11 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.11
function "srl" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "srl";
------------------------------------------------------------------------------
-- Note: Function S.12 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.12
function "srl" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return UNRESOLVED_SIGNED(SHIFT_RIGHT(UNRESOLVED_UNSIGNED(ARG), COUNT));
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "srl";
------------------------------------------------------------------------------
-- Note: Function S.13 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.13
function "rol" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return ROTATE_LEFT(ARG, COUNT);
else
return ROTATE_RIGHT(ARG, -COUNT);
end if;
end function "rol";
------------------------------------------------------------------------------
-- Note: Function S.14 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.14
function "rol" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return ROTATE_LEFT(ARG, COUNT);
else
return ROTATE_RIGHT(ARG, -COUNT);
end if;
end function "rol";
------------------------------------------------------------------------------
-- Note: Function S.15 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.15
function "ror" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return ROTATE_RIGHT(ARG, COUNT);
else
return ROTATE_LEFT(ARG, -COUNT);
end if;
end function "ror";
------------------------------------------------------------------------------
-- Note: Function S.16 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.16
function "ror" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return ROTATE_RIGHT(ARG, COUNT);
else
return ROTATE_LEFT(ARG, -COUNT);
end if;
end function "ror";
------------------------------------------------------------------------------
-- Note: Function S.17 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.17
function "sla" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sla";
------------------------------------------------------------------------------
-- Note: Function S.18 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.18
function "sla" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sla";
------------------------------------------------------------------------------
-- Note: Function S.19 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.19
function "sra" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "sra";
------------------------------------------------------------------------------
-- Note: Function S.20 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.20
function "sra" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "sra";
-- ============================================================================
-- Id: D.1
function TO_INTEGER (ARG : UNRESOLVED_UNSIGNED) return NATURAL is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XXARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0) is ARG;
variable XARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0);
variable RESULT : NATURAL := 0;
begin
if (ARG'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: null detected, returning 0"
severity warning;
return 0;
end if;
XARG := TO_01(XXARG, 'X');
if (XARG(XARG'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: metavalue detected, returning 0"
severity warning;
return 0;
end if;
for I in XARG'range loop
RESULT := RESULT+RESULT;
if XARG(I) = '1' then
RESULT := RESULT + 1;
end if;
end loop;
return RESULT;
end function TO_INTEGER;
-- Id: D.2
function TO_INTEGER (ARG : UNRESOLVED_SIGNED) return INTEGER is
variable XARG : UNRESOLVED_SIGNED(ARG'length-1 downto 0);
begin
if (ARG'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: null detected, returning 0"
severity warning;
return 0;
end if;
XARG := TO_01(ARG, 'X');
if (XARG(XARG'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: metavalue detected, returning 0"
severity warning;
return 0;
end if;
if XARG(XARG'left) = '0' then
return TO_INTEGER(UNRESOLVED_UNSIGNED(XARG));
else
return (- (TO_INTEGER(UNRESOLVED_UNSIGNED(- (XARG + 1)))) -1);
end if;
end function TO_INTEGER;
-- Id: D.3
function TO_UNSIGNED (ARG, SIZE : NATURAL) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable I_VAL : NATURAL := ARG;
begin
if (SIZE < 1) then return NAU;
end if;
for I in 0 to RESULT'left loop
if (I_VAL mod 2) = 0 then
RESULT(I) := '0';
else RESULT(I) := '1';
end if;
I_VAL := I_VAL/2;
end loop;
if not(I_VAL = 0) then
assert NO_WARNING
report "NUMERIC_STD.TO_UNSIGNED: vector truncated"
severity warning;
end if;
return RESULT;
end function TO_UNSIGNED;
-- Id: D.4
function TO_SIGNED (ARG : INTEGER; SIZE : NATURAL) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable B_VAL : STD_LOGIC := '0';
variable I_VAL : INTEGER := ARG;
begin
if (SIZE < 1) then return NAS;
end if;
if (ARG < 0) then
B_VAL := '1';
I_VAL := -(ARG+1);
end if;
for I in 0 to RESULT'left loop
if (I_VAL mod 2) = 0 then
RESULT(I) := B_VAL;
else
RESULT(I) := not B_VAL;
end if;
I_VAL := I_VAL/2;
end loop;
if ((I_VAL /= 0) or (B_VAL /= RESULT(RESULT'left))) then
assert NO_WARNING
report "NUMERIC_STD.TO_SIGNED: vector truncated"
severity warning;
end if;
return RESULT;
end function TO_SIGNED;
function TO_UNSIGNED (ARG : NATURAL; SIZE_RES : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED (ARG => ARG,
SIZE => SIZE_RES'length);
end function TO_UNSIGNED;
function TO_SIGNED (ARG : INTEGER; SIZE_RES : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return TO_SIGNED (ARG => ARG,
SIZE => SIZE_RES'length);
end function TO_SIGNED;
-- ============================================================================
-- Id: R.1
function RESIZE (ARG : UNRESOLVED_SIGNED; NEW_SIZE : NATURAL)
return UNRESOLVED_SIGNED
is
alias INVEC : UNRESOLVED_SIGNED(ARG'length-1 downto 0) is ARG;
variable RESULT : UNRESOLVED_SIGNED(NEW_SIZE-1 downto 0) :=
(others => '0');
constant BOUND : INTEGER := MINIMUM(ARG'length, RESULT'length)-2;
begin
if (NEW_SIZE < 1) then return NAS;
end if;
if (ARG'length = 0) then return RESULT;
end if;
RESULT := (others => ARG(ARG'left));
if BOUND >= 0 then
RESULT(BOUND downto 0) := INVEC(BOUND downto 0);
end if;
return RESULT;
end function RESIZE;
-- Id: R.2
function RESIZE (ARG : UNRESOLVED_UNSIGNED; NEW_SIZE : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT : UNRESOLVED_UNSIGNED(NEW_SIZE-1 downto 0) :=
(others => '0');
begin
if (NEW_SIZE < 1) then return NAU;
end if;
if XARG'length = 0 then return RESULT;
end if;
if (RESULT'length < ARG'length) then
RESULT(RESULT'left downto 0) := XARG(RESULT'left downto 0);
else
RESULT(RESULT'left downto XARG'left+1) := (others => '0');
RESULT(XARG'left downto 0) := XARG;
end if;
return RESULT;
end function RESIZE;
function RESIZE (ARG, SIZE_RES : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return RESIZE (ARG => ARG,
NEW_SIZE => SIZE_RES'length);
end function RESIZE;
function RESIZE (ARG, SIZE_RES : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return RESIZE (ARG => ARG,
NEW_SIZE => SIZE_RES'length);
end function RESIZE;
-- ============================================================================
-- Id: L.1
function "not" (L : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(not(STD_ULOGIC_VECTOR(L)));
return RESULT;
end function "not";
-- Id: L.2
function "and" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) and
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "and";
-- Id: L.3
function "or" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) or
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "or";
-- Id: L.4
function "nand" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) nand
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nand";
-- Id: L.5
function "nor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) nor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nor";
-- Id: L.6
function "xor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) xor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.7 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.7
function "xnor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) xnor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xnor";
-- Id: L.8
function "not" (L : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(not(STD_ULOGIC_VECTOR(L)));
return RESULT;
end function "not";
-- Id: L.9
function "and" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) and STD_ULOGIC_VECTOR(R));
return RESULT;
end function "and";
-- Id: L.10
function "or" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) or STD_ULOGIC_VECTOR(R));
return RESULT;
end function "or";
-- Id: L.11
function "nand" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) nand
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nand";
-- Id: L.12
function "nor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) nor STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nor";
-- Id: L.13
function "xor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) xor STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.14 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.14
function "xnor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) xnor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xnor";
-- Id: L.15
function "and" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L and STD_ULOGIC_VECTOR(R));
end function "and";
-- Id: L.16
function "and" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) and R);
end function "and";
-- Id: L.17
function "or" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L or STD_ULOGIC_VECTOR(R));
end function "or";
-- Id: L.18
function "or" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) or R);
end function "or";
-- Id: L.19
function "nand" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L nand STD_ULOGIC_VECTOR(R));
end function "nand";
-- Id: L.20
function "nand" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) nand R);
end function "nand";
-- Id: L.21
function "nor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L nor STD_ULOGIC_VECTOR(R));
end function "nor";
-- Id: L.22
function "nor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) nor R);
end function "nor";
-- Id: L.23
function "xor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L xor STD_ULOGIC_VECTOR(R));
end function "xor";
-- Id: L.24
function "xor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) xor R);
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.25 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.25
function "xnor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L xnor STD_ULOGIC_VECTOR(R));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.26 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.26
function "xnor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) xnor R);
end function "xnor";
-- Id: L.27
function "and" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L and STD_ULOGIC_VECTOR(R));
end function "and";
-- Id: L.28
function "and" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) and R);
end function "and";
-- Id: L.29
function "or" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L or STD_ULOGIC_VECTOR(R));
end function "or";
-- Id: L.30
function "or" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) or R);
end function "or";
-- Id: L.31
function "nand" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L nand STD_ULOGIC_VECTOR(R));
end function "nand";
-- Id: L.32
function "nand" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) nand R);
end function "nand";
-- Id: L.33
function "nor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L nor STD_ULOGIC_VECTOR(R));
end function "nor";
-- Id: L.34
function "nor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) nor R);
end function "nor";
-- Id: L.35
function "xor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L xor STD_ULOGIC_VECTOR(R));
end function "xor";
-- Id: L.36
function "xor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) xor R);
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.37 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.37
function "xnor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L xnor STD_ULOGIC_VECTOR(R));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.38 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.38
function "xnor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) xnor R);
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.39 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.39
function "and" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return and (STD_ULOGIC_VECTOR (L));
end function "and";
------------------------------------------------------------------------------
-- Note: Function L.40 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.40
function "and" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return and (STD_ULOGIC_VECTOR (L));
end function "and";
------------------------------------------------------------------------------
-- Note: Function L.41 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.41
function "nand" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return nand (STD_ULOGIC_VECTOR (L));
end function "nand";
------------------------------------------------------------------------------
-- Note: Function L.42 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.42
function "nand" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return nand (STD_ULOGIC_VECTOR (L));
end function "nand";
------------------------------------------------------------------------------
-- Note: Function L.43 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.43
function "or" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return or (STD_ULOGIC_VECTOR (L));
end function "or";
------------------------------------------------------------------------------
-- Note: Function L.44 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.44
function "or" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return or (STD_ULOGIC_VECTOR (L));
end function "or";
------------------------------------------------------------------------------
-- Note: Function L.45 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.45
function "nor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return nor (STD_ULOGIC_VECTOR (L));
end function "nor";
------------------------------------------------------------------------------
-- Note: Function L.46 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.46
function "nor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return nor (STD_ULOGIC_VECTOR (L));
end function "nor";
------------------------------------------------------------------------------
-- Note: Function L.47 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.47
function "xor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return xor (STD_ULOGIC_VECTOR (L));
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.48 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.48
function "xor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return xor (STD_ULOGIC_VECTOR (L));
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.49 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.49
function "xnor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return xnor (STD_ULOGIC_VECTOR (L));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.50 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.50
function "xnor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return xnor (STD_ULOGIC_VECTOR (L));
end function "xnor";
-- ============================================================================
-- support constants for STD_MATCH:
type BOOLEAN_TABLE is array(STD_ULOGIC, STD_ULOGIC) of BOOLEAN;
constant MATCH_TABLE : BOOLEAN_TABLE := (
--------------------------------------------------------------------------
-- U X 0 1 Z W L H -
--------------------------------------------------------------------------
(false, false, false, false, false, false, false, false, true), -- | U |
(false, false, false, false, false, false, false, false, true), -- | X |
(false, false, true, false, false, false, true, false, true), -- | 0 |
(false, false, false, true, false, false, false, true, true), -- | 1 |
(false, false, false, false, false, false, false, false, true), -- | Z |
(false, false, false, false, false, false, false, false, true), -- | W |
(false, false, true, false, false, false, true, false, true), -- | L |
(false, false, false, true, false, false, false, true, true), -- | H |
(true, true, true, true, true, true, true, true, true) -- | - |
);
-- Id: M.1
function STD_MATCH (L, R : STD_ULOGIC) return BOOLEAN is
variable VALUE : STD_ULOGIC;
begin
return MATCH_TABLE(L, R);
end function STD_MATCH;
-- Id: M.2
function STD_MATCH (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
alias LV : UNRESOLVED_UNSIGNED(1 to L'length) is L;
alias RV : UNRESOLVED_UNSIGNED(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- Id: M.3
function STD_MATCH (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
alias LV : UNRESOLVED_SIGNED(1 to L'length) is L;
alias RV : UNRESOLVED_SIGNED(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- Id: M.5
function STD_MATCH (L, R : STD_ULOGIC_VECTOR) return BOOLEAN is
alias LV : STD_ULOGIC_VECTOR(1 to L'length) is L;
alias RV : STD_ULOGIC_VECTOR(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- ============================================================================
-- function TO_01 is used to convert vectors to the
-- correct form for exported functions,
-- and to report if there is an element which
-- is not in (0, 1, H, L).
-- Id: T.1
function TO_01 (S : UNRESOLVED_UNSIGNED; XMAP : STD_ULOGIC := '0')
return UNRESOLVED_UNSIGNED is
begin
if (S'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_01: null detected, returning NAU"
severity warning;
return NAU;
end if;
return UNRESOLVED_UNSIGNED(TO_01(STD_ULOGIC_VECTOR(S), XMAP));
end function TO_01;
-- Id: T.2
function TO_01 (S : UNRESOLVED_SIGNED; XMAP : STD_ULOGIC := '0')
return UNRESOLVED_SIGNED is
begin
if (S'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_01: null detected, returning NAS"
severity warning;
return NAS;
end if;
return UNRESOLVED_SIGNED(TO_01(STD_ULOGIC_VECTOR(S), XMAP));
end function TO_01;
-- Id: T.3
function TO_X01 (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_X01(STD_ULOGIC_VECTOR(S)));
end function TO_X01;
-- Id: T.4
function TO_X01 (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_X01(STD_ULOGIC_VECTOR(S)));
end function TO_X01;
-- Id: T.5
function TO_X01Z (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_X01Z(STD_ULOGIC_VECTOR(S)));
end function TO_X01Z;
-- Id: T.6
function TO_X01Z (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_X01Z(STD_ULOGIC_VECTOR(S)));
end function TO_X01Z;
-- Id: T.7
function TO_UX01 (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_UX01(STD_ULOGIC_VECTOR(S)));
end function TO_UX01;
-- Id: T.8
function TO_UX01 (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_UX01(STD_ULOGIC_VECTOR(S)));
end function TO_UX01;
-- Id: T.9
function IS_X (S : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return IS_X(STD_ULOGIC_VECTOR(S));
end function IS_X;
-- Id: T.10
function IS_X (S : UNRESOLVED_SIGNED) return BOOLEAN is
begin
return IS_X(STD_ULOGIC_VECTOR(S));
end function IS_X;
-- ============================================================================
-- string conversion and write operations
-- ============================================================================
function to_ostring (value : UNRESOLVED_UNSIGNED) return STRING is
begin
return to_ostring(STD_ULOGIC_VECTOR (value));
end function to_ostring;
function to_ostring (value : UNRESOLVED_SIGNED) return STRING is
constant result_length : INTEGER := (value'length+2)/3;
constant pad : STD_ULOGIC_VECTOR(1 to (result_length*3 -
value'length))
:= (others => value (value'left)); -- Extend sign bit
begin
return to_ostring(pad & STD_ULOGIC_VECTOR (value));
end function to_ostring;
function to_hstring (value : UNRESOLVED_UNSIGNED) return STRING is
begin
return to_hstring(STD_ULOGIC_VECTOR (value));
end function to_hstring;
function to_hstring (value : UNRESOLVED_SIGNED) return STRING is
constant result_length : INTEGER := (value'length+3)/4;
constant pad : STD_ULOGIC_VECTOR(1 to (result_length*4 -
value'length))
:= (others => value (value'left)); -- Extend sign bit
begin
return to_hstring(pad & STD_ULOGIC_VECTOR (value));
end function to_hstring;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := SIGNED(ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue);
VALUE := SIGNED (ivalue);
end procedure READ;
procedure WRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
WRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure WRITE;
procedure WRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
WRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure WRITE;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
OREAD (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
constant ne : INTEGER := (value'length+2)/3;
constant pad : INTEGER := ne*3 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*3-1);
variable ok : BOOLEAN;
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
OREAD (L => L,
VALUE => ivalue, -- Read padded STRING
GOOD => ok);
-- Bail out if there was a bad read
if not ok then
GOOD := false;
return;
end if;
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
GOOD := false;
else
GOOD := true;
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
OREAD (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
constant ne : INTEGER := (value'length+2)/3;
constant pad : INTEGER := ne*3 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*3-1);
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
OREAD (L => L,
VALUE => ivalue); -- Read padded string
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
assert false
report "NUMERIC_STD.OREAD Error: Signed vector truncated"
severity error;
else
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure OREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
HREAD (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
constant ne : INTEGER := (value'length+3)/4;
constant pad : INTEGER := ne*4 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*4-1);
variable ok : BOOLEAN;
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
HREAD (L => L,
VALUE => ivalue, -- Read padded STRING
GOOD => ok);
if not ok then
GOOD := false;
return;
end if;
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
GOOD := false;
else
GOOD := true;
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
HREAD (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
constant ne : INTEGER := (value'length+3)/4;
constant pad : INTEGER := ne*4 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*4-1);
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
HREAD (L => L,
VALUE => ivalue); -- Read padded string
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
assert false
report "NUMERIC_STD.HREAD Error: Signed vector truncated"
severity error;
else
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure HREAD;
procedure OWRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
OWRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure OWRITE;
procedure OWRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
constant ne : INTEGER := (VALUE'length+2)/3;
constant pad : STD_ULOGIC_VECTOR(0 to (ne*3 - VALUE'length) - 1)
:= (others => VALUE (VALUE'left));
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
OWRITE (L => L,
VALUE => pad & ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure OWRITE;
procedure HWRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
HWRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure HWRITE;
procedure HWRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
constant ne : INTEGER := (value'length+3)/4;
constant pad : STD_ULOGIC_VECTOR(0 to (ne*4 - value'length) - 1)
:= (others => VALUE(VALUE'left));
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
HWRITE (L => L,
VALUE => pad & ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure HWRITE;
end package body NUMERIC_STD;
|
-- --------------------------------------------------------------------
--
-- Copyright © 2008 by IEEE. All rights reserved.
--
-- This source file is an essential part of IEEE Std 1076-2008,
-- IEEE Standard VHDL Language Reference Manual. This source file may not be
-- copied, sold, or included with software that is sold without written
-- permission from the IEEE Standards Department. This source file may be
-- copied for individual use between licensed users. This source file is
-- provided on an AS IS basis. The IEEE disclaims ANY WARRANTY EXPRESS OR
-- IMPLIED INCLUDING ANY WARRANTY OF MERCHANTABILITY AND FITNESS FOR USE
-- FOR A PARTICULAR PURPOSE. The user of the source file shall indemnify
-- and hold IEEE harmless from any damages or liability arising out of the
-- use thereof.
--
-- Title : Standard VHDL Synthesis Packages
-- : (NUMERIC_STD package body)
-- :
-- Library : This package shall be compiled into a library
-- : symbolically named IEEE.
-- :
-- Developers: IEEE DASC Synthesis Working Group,
-- : Accellera VHDL-TC, and IEEE P1076 Working Group
-- :
-- Purpose : This package defines numeric types and arithmetic functions
-- : for use with synthesis tools. Two numeric types are defined:
-- : -- > UNRESOLVED_UNSIGNED: represents an UNSIGNED number
-- : in vector form
-- : -- > UNRESOLVED_SIGNED: represents a SIGNED number
-- : in vector form
-- : The base element type is type STD_ULOGIC.
-- : Aliases U_UNSIGNED and U_SIGNED are defined for the types
-- : UNRESOLVED_UNSIGNED and UNRESOLVED_SIGNED, respectively.
-- : Two numeric subtypes are defined:
-- : -- > UNSIGNED: represents UNSIGNED number in vector form
-- : -- > SIGNED: represents a SIGNED number in vector form
-- : The element subtypes are the same subtype as STD_LOGIC.
-- : The leftmost bit is treated as the most significant bit.
-- : Signed vectors are represented in two's complement form.
-- : This package contains overloaded arithmetic operators on
-- : the SIGNED and UNSIGNED types. The package also contains
-- : useful type conversions functions, clock detection
-- : functions, and other utility functions.
-- :
-- : If any argument to a function is a null array, a null array
-- : is returned (exceptions, if any, are noted individually).
--
-- Note : This package may be modified to include additional data
-- : required by tools, but it must in no way change the
-- : external interfaces or simulation behavior of the
-- : description. It is permissible to add comments and/or
-- : attributes to the package declarations, but not to change
-- : or delete any original lines of the package declaration.
-- : The package body may be changed only in accordance with
-- : the terms of Clause 16 of this standard.
-- :
-- --------------------------------------------------------------------
-- $Revision: 1220 $
-- $Date: 2008-04-10 17:16:09 +0930 (Thu, 10 Apr 2008) $
-- --------------------------------------------------------------------
package body NUMERIC_STD is
-- null range array constants
constant NAU : UNRESOLVED_UNSIGNED (0 downto 1) := (others => '0');
constant NAS : UNRESOLVED_SIGNED (0 downto 1) := (others => '0');
-- implementation controls
constant NO_WARNING : BOOLEAN := false; -- default to emit warnings
-- =========================Local Subprograms =================================
function SIGNED_NUM_BITS (ARG : INTEGER) return NATURAL is
variable NBITS : NATURAL;
variable N : NATURAL;
begin
if ARG >= 0 then
N := ARG;
else
N := -(ARG+1);
end if;
NBITS := 1;
while N > 0 loop
NBITS := NBITS+1;
N := N / 2;
end loop;
return NBITS;
end function SIGNED_NUM_BITS;
function UNSIGNED_NUM_BITS (ARG : NATURAL) return NATURAL is
variable NBITS : NATURAL;
variable N : NATURAL;
begin
N := ARG;
NBITS := 1;
while N > 1 loop
NBITS := NBITS+1;
N := N / 2;
end loop;
return NBITS;
end function UNSIGNED_NUM_BITS;
------------------------------------------------------------------------
-- this internal function computes the addition of two UNRESOLVED_UNSIGNED
-- with input CARRY
-- * the two arguments are of the same length
function ADD_UNSIGNED (L, R : UNRESOLVED_UNSIGNED; C : STD_LOGIC)
return UNRESOLVED_UNSIGNED
is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is R;
variable RESULT : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable CBIT : STD_LOGIC := C;
begin
for I in 0 to L_LEFT loop
RESULT(I) := CBIT xor XL(I) xor XR(I);
CBIT := (CBIT and XL(I)) or (CBIT and XR(I)) or (XL(I) and XR(I));
end loop;
return RESULT;
end function ADD_UNSIGNED;
-- this internal function computes the addition of two UNRESOLVED_SIGNED
-- with input CARRY
-- * the two arguments are of the same length
function ADD_SIGNED (L, R : UNRESOLVED_SIGNED; C : STD_LOGIC)
return UNRESOLVED_SIGNED
is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(L_LEFT downto 0) is R;
variable RESULT : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable CBIT : STD_LOGIC := C;
begin
for I in 0 to L_LEFT loop
RESULT(I) := CBIT xor XL(I) xor XR(I);
CBIT := (CBIT and XL(I)) or (CBIT and XR(I)) or (XL(I) and XR(I));
end loop;
return RESULT;
end function ADD_SIGNED;
-----------------------------------------------------------------------------
-- this internal procedure computes UNSIGNED division
-- giving the quotient and remainder.
procedure DIVMOD (NUM, XDENOM : UNRESOLVED_UNSIGNED;
XQUOT, XREMAIN : out UNRESOLVED_UNSIGNED) is
variable TEMP : UNRESOLVED_UNSIGNED(NUM'length downto 0);
variable QUOT : UNRESOLVED_UNSIGNED(MAXIMUM(NUM'length, XDENOM'length)-1
downto 0);
alias DENOM : UNRESOLVED_UNSIGNED(XDENOM'length-1 downto 0) is XDENOM;
variable TOPBIT : INTEGER;
begin
TEMP := "0"&NUM;
QUOT := (others => '0');
TOPBIT := -1;
for J in DENOM'range loop
if DENOM(J) = '1' then
TOPBIT := J;
exit;
end if;
end loop;
assert TOPBIT >= 0 report "NUMERIC_STD.DIVMOD: DIV, MOD, or REM by zero"
severity error;
for J in NUM'length-(TOPBIT+1) downto 0 loop
if TEMP(TOPBIT+J+1 downto J) >= "0"&DENOM(TOPBIT downto 0) then
TEMP(TOPBIT+J+1 downto J) := (TEMP(TOPBIT+J+1 downto J))
-("0"&DENOM(TOPBIT downto 0));
QUOT(J) := '1';
end if;
assert TEMP(TOPBIT+J+1) = '0'
report "NUMERIC_STD.DIVMOD: internal error in the division algorithm"
severity error;
end loop;
XQUOT := RESIZE(QUOT, XQUOT'length);
XREMAIN := RESIZE(TEMP, XREMAIN'length);
end procedure DIVMOD;
-----------------Local Subprograms - shift/rotate ops-------------------------
function XSLL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := (others => '0');
begin
if COUNT <= ARG_L then
RESULT(ARG_L downto COUNT) := XARG(ARG_L-COUNT downto 0);
end if;
return RESULT;
end function XSLL;
function XSRL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := (others => '0');
begin
if COUNT <= ARG_L then
RESULT(ARG_L-COUNT downto 0) := XARG(ARG_L downto COUNT);
end if;
return RESULT;
end function XSRL;
function XSRA (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0);
variable XCOUNT : NATURAL := COUNT;
begin
if ((ARG'length <= 1) or (XCOUNT = 0)) then return ARG;
else
if (XCOUNT > ARG_L) then XCOUNT := ARG_L;
end if;
RESULT(ARG_L-XCOUNT downto 0) := XARG(ARG_L downto XCOUNT);
RESULT(ARG_L downto (ARG_L - XCOUNT + 1)) := (others => XARG(ARG_L));
end if;
return RESULT;
end function XSRA;
function XROL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := XARG;
variable COUNTM : INTEGER;
begin
COUNTM := COUNT mod (ARG_L + 1);
if COUNTM /= 0 then
RESULT(ARG_L downto COUNTM) := XARG(ARG_L-COUNTM downto 0);
RESULT(COUNTM-1 downto 0) := XARG(ARG_L downto ARG_L-COUNTM+1);
end if;
return RESULT;
end function XROL;
function XROR (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := XARG;
variable COUNTM : INTEGER;
begin
COUNTM := COUNT mod (ARG_L + 1);
if COUNTM /= 0 then
RESULT(ARG_L-COUNTM downto 0) := XARG(ARG_L downto COUNTM);
RESULT(ARG_L downto ARG_L-COUNTM+1) := XARG(COUNTM-1 downto 0);
end if;
return RESULT;
end function XROR;
-----------------Local Subprograms - Relational ops---------------------------
--
-- General "=" for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_EQUAL (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) = STD_ULOGIC_VECTOR(R);
end function UNSIGNED_EQUAL;
--
-- General "=" for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_EQUAL (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) = STD_ULOGIC_VECTOR(R);
end function SIGNED_EQUAL;
--
-- General "<" for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_LESS (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) < STD_ULOGIC_VECTOR(R);
end function UNSIGNED_LESS;
--
-- General "<" function for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_LESS (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
variable INTERN_L : UNRESOLVED_SIGNED(0 to L'length-1);
variable INTERN_R : UNRESOLVED_SIGNED(0 to R'length-1);
begin
INTERN_L := L;
INTERN_R := R;
INTERN_L(0) := not INTERN_L(0);
INTERN_R(0) := not INTERN_R(0);
return STD_ULOGIC_VECTOR(INTERN_L) < STD_ULOGIC_VECTOR(INTERN_R);
end function SIGNED_LESS;
--
-- General "<=" function for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_LESS_OR_EQUAL (L, R : UNRESOLVED_UNSIGNED)
return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) <= STD_ULOGIC_VECTOR(R);
end function UNSIGNED_LESS_OR_EQUAL;
--
-- General "<=" function for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_LESS_OR_EQUAL (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
-- Need aliases to assure index direction
variable INTERN_L : UNRESOLVED_SIGNED(0 to L'length-1);
variable INTERN_R : UNRESOLVED_SIGNED(0 to R'length-1);
begin
INTERN_L := L;
INTERN_R := R;
INTERN_L(0) := not INTERN_L(0);
INTERN_R(0) := not INTERN_R(0);
return STD_ULOGIC_VECTOR(INTERN_L) <= STD_ULOGIC_VECTOR(INTERN_R);
end function SIGNED_LESS_OR_EQUAL;
-- =========================Exported Functions ==========================
-- Id: A.1
function "abs" (ARG : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_SIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT : UNRESOLVED_SIGNED(ARG_LEFT downto 0);
begin
if ARG'length < 1 then return NAS;
end if;
RESULT := TO_01(XARG, 'X');
if (RESULT(RESULT'left) = 'X') then return RESULT;
end if;
if RESULT(RESULT'left) = '1' then
RESULT := -RESULT;
end if;
return RESULT;
end function "abs";
-- Id: A.2
function "-" (ARG : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_SIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT, XARG01 : UNRESOLVED_SIGNED(ARG_LEFT downto 0);
variable CBIT : STD_LOGIC := '1';
begin
if ARG'length < 1 then return NAS;
end if;
XARG01 := TO_01(ARG, 'X');
if (XARG01(XARG01'left) = 'X') then return XARG01;
end if;
for I in 0 to RESULT'left loop
RESULT(I) := not(XARG01(I)) xor CBIT;
CBIT := CBIT and not(XARG01(I));
end loop;
return RESULT;
end function "-";
-- ============================================================================
-- Id: A.3
function "+" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_UNSIGNED(L01, R01, '0');
end function "+";
-- Id: A.3R
function "+" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED
is
variable XR : UNRESOLVED_UNSIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L + XR);
end function "+";
-- Id: A.3L
function "+" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
variable XL : UNRESOLVED_UNSIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL + R);
end function "+";
-- Id: A.4
function "+" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_SIGNED(L01, R01, '0');
end function "+";
-- Id: A.4R
function "+" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED
is
variable XR : UNRESOLVED_SIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L + XR);
end function "+";
-- Id: A.4L
function "+" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
variable XL : UNRESOLVED_SIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL + R);
end function "+";
-- Id: A.5
function "+" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L + TO_UNSIGNED(R, L'length);
end function "+";
-- Id: A.6
function "+" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) + R;
end function "+";
-- Id: A.7
function "+" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return L + TO_SIGNED(R, L'length);
end function "+";
-- Id: A.8
function "+" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) + R;
end function "+";
-- ============================================================================
-- Id: A.9
function "-" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_UNSIGNED(L01, not(R01), '1');
end function "-";
-- Id: A.9R
function "-" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED
is
variable XR : UNRESOLVED_UNSIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L - XR);
end function "-";
-- Id: A.9L
function "-" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
variable XL : UNRESOLVED_UNSIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL - R);
end function "-";
-- Id: A.10
function "-" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_SIGNED(L01, not(R01), '1');
end function "-";
-- Id: A.10R
function "-" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED
is
variable XR : UNRESOLVED_SIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L - XR);
end function "-";
-- Id: A.10L
function "-" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
variable XL : UNRESOLVED_SIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL - R);
end function "-";
-- Id: A.11
function "-" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L - TO_UNSIGNED(R, L'length);
end function "-";
-- Id: A.12
function "-" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) - R;
end function "-";
-- Id: A.13
function "-" (L : UNRESOLVED_SIGNED; R : INTEGER) return UNRESOLVED_SIGNED is
begin
return L - TO_SIGNED(R, L'length);
end function "-";
-- Id: A.14
function "-" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) - R;
end function "-";
-- ============================================================================
-- Id: A.15
function "*" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable RESULT : UNRESOLVED_UNSIGNED((L'length+R'length-1) downto 0) :=
(others => '0');
variable ADVAL : UNRESOLVED_UNSIGNED((L'length+R'length-1) downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
RESULT := (others => 'X');
return RESULT;
end if;
ADVAL := RESIZE(XR, RESULT'length);
for I in 0 to L_LEFT loop
if XL(I) = '1' then RESULT := RESULT + ADVAL;
end if;
ADVAL := SHIFT_LEFT(ADVAL, 1);
end loop;
return RESULT;
end function "*";
-- Id: A.16
function "*" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable RESULT : UNRESOLVED_SIGNED((L_LEFT+R_LEFT+1) downto 0) :=
(others => '0');
variable ADVAL : UNRESOLVED_SIGNED((L_LEFT+R_LEFT+1) downto 0);
begin
if ((L_LEFT < 0) or (R_LEFT < 0)) then return NAS;
end if;
XL := TO_01(L, 'X');
XR := TO_01(R, 'X');
if ((XL(L_LEFT) = 'X') or (XR(R_LEFT) = 'X')) then
RESULT := (others => 'X');
return RESULT;
end if;
ADVAL := RESIZE(XR, RESULT'length);
for I in 0 to L_LEFT-1 loop
if XL(I) = '1' then RESULT := RESULT + ADVAL;
end if;
ADVAL := SHIFT_LEFT(ADVAL, 1);
end loop;
if XL(L_LEFT) = '1' then
RESULT := RESULT - ADVAL;
end if;
return RESULT;
end function "*";
-- Id: A.17
function "*" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L * TO_UNSIGNED(R, L'length);
end function "*";
-- Id: A.18
function "*" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) * R;
end function "*";
-- Id: A.19
function "*" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return L * TO_SIGNED(R, L'length);
end function "*";
-- Id: A.20
function "*" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) * R;
end function "*";
-- ============================================================================
-- Id: A.21
function "/" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FQUOT := (others => 'X');
return FQUOT;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FQUOT;
end function "/";
-- Id: A.22
function "/" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable QNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FQUOT := (others => 'X');
return UNRESOLVED_SIGNED(FQUOT);
end if;
if XL(XL'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-XL);
QNEG := true;
else
XNUM := UNRESOLVED_UNSIGNED(XL);
end if;
if XR(XR'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-XR);
QNEG := not QNEG;
else
XDENOM := UNRESOLVED_UNSIGNED(XR);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if QNEG then FQUOT := "0"-FQUOT;
end if;
return UNRESOLVED_SIGNED(FQUOT);
end function "/";
-- Id: A.23
function "/" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, QUOT : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
if (R_LENGTH > L'length) then
QUOT := (others => '0');
return RESIZE(QUOT, L'length);
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
QUOT := RESIZE((L / XR), QUOT'length);
return RESIZE(QUOT, L'length);
end function "/";
-- Id: A.24
function "/" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, QUOT : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAU;
end if;
XL := TO_UNSIGNED(L, L_LENGTH);
QUOT := RESIZE((XL / R), QUOT'length);
if L_LENGTH > R'length and QUOT(0) /= 'X'
and QUOT(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""/"": Quotient Truncated"
severity warning;
end if;
return RESIZE(QUOT, R'length);
end function "/";
-- Id: A.25
function "/" (L : UNRESOLVED_SIGNED; R : INTEGER) return UNRESOLVED_SIGNED is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, QUOT : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
if (R_LENGTH > L'length) then
QUOT := (others => '0');
return RESIZE(QUOT, L'length);
end if;
XR := TO_SIGNED(R, R_LENGTH);
QUOT := RESIZE((L / XR), QUOT'length);
return RESIZE(QUOT, L'length);
end function "/";
-- Id: A.26
function "/" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, QUOT : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
QUOT := RESIZE((XL / R), QUOT'length);
if L_LENGTH > R'length and QUOT(0) /= 'X'
and QUOT(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => QUOT(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""/"": Quotient Truncated"
severity warning;
end if;
return RESIZE(QUOT, R'length);
end function "/";
-- ============================================================================
-- Id: A.27
function "rem" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return FREMAIN;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FREMAIN;
end function "rem";
-- Id: A.28
function "rem" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable RNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XNUM := UNRESOLVED_UNSIGNED(TO_01(XXL, 'X'));
XDENOM := UNRESOLVED_UNSIGNED(TO_01(XXR, 'X'));
if ((XNUM(XNUM'left) = 'X') or (XDENOM(XDENOM'left) = 'X')) then
FREMAIN := (others => 'X');
return UNRESOLVED_SIGNED(FREMAIN);
end if;
if XNUM(XNUM'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-UNRESOLVED_SIGNED(XNUM));
RNEG := true;
else
XNUM := UNRESOLVED_UNSIGNED(XNUM);
end if;
if XDENOM(XDENOM'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-UNRESOLVED_SIGNED(XDENOM));
else
XDENOM := UNRESOLVED_UNSIGNED(XDENOM);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if RNEG then
FREMAIN := "0"-FREMAIN;
end if;
return UNRESOLVED_SIGNED(FREMAIN);
end function "rem";
-- Id: A.29
function "rem" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
XREM := L rem XR;
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "rem";
-- Id: A.30
function "rem" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
XL := TO_UNSIGNED(L, L_LENGTH);
XREM := XL rem R;
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "rem";
-- Id: A.31
function "rem" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
XR := TO_SIGNED(R, R_LENGTH);
XREM := RESIZE((L rem XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => XREM(L'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "rem";
-- Id: A.32
function "rem" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
XREM := RESIZE((XL rem R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => XREM(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "rem";
-- ============================================================================
-- Id: A.33
function "mod" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return FREMAIN;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FREMAIN;
end function "mod";
-- Id: A.34
function "mod" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable RNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return UNRESOLVED_SIGNED(FREMAIN);
end if;
if XL(XL'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-XL);
else
XNUM := UNRESOLVED_UNSIGNED(XL);
end if;
if XR(XR'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-XR);
RNEG := true;
else
XDENOM := UNRESOLVED_UNSIGNED(XR);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if RNEG and L(L'left) = '1' then
FREMAIN := "0"-FREMAIN;
elsif RNEG and FREMAIN /= "0" then
FREMAIN := FREMAIN-XDENOM;
elsif L(L'left) = '1' and FREMAIN /= "0" then
FREMAIN := XDENOM-FREMAIN;
end if;
return UNRESOLVED_SIGNED(FREMAIN);
end function "mod";
-- Id: A.35
function "mod" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
XREM := RESIZE((L mod XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "mod";
-- Id: A.36
function "mod" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAU;
end if;
XL := TO_UNSIGNED(L, L_LENGTH);
XREM := RESIZE((XL mod R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "mod";
-- Id: A.37
function "mod" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
XR := TO_SIGNED(R, R_LENGTH);
XREM := RESIZE((L mod XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => XREM(L'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "mod";
-- Id: A.38
function "mod" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
XREM := RESIZE((XL mod R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => XREM(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "mod";
-- ============================================================================
-- Id: A.39
function find_leftmost (ARG : UNRESOLVED_UNSIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_leftmost;
-- Id: A.40
function find_leftmost (ARG : UNRESOLVED_SIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_leftmost;
-- Id: A.41
function find_rightmost (ARG : UNRESOLVED_UNSIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'reverse_range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_rightmost;
-- Id: A.42
function find_rightmost (ARG : UNRESOLVED_SIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'reverse_range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_rightmost;
-- ============================================================================
-- Id: C.1
function ">" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not UNSIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">";
-- Id: C.2
function ">" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not SIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">";
-- Id: C.3
function ">" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not UNSIGNED_LESS_OR_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function ">";
-- Id: C.4
function ">" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not SIGNED_LESS_OR_EQUAL(TO_SIGNED(L, R01'length), R01);
end function ">";
-- Id: C.5
function ">" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return false;
end if;
return not UNSIGNED_LESS_OR_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function ">";
-- Id: C.6
function ">" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not SIGNED_LESS_OR_EQUAL(L01, TO_SIGNED(R, L01'length));
end function ">";
-- ============================================================================
-- Id: C.7
function "<" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<";
-- Id: C.8
function "<" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<";
-- Id: C.9
function "<" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return UNSIGNED_LESS(TO_UNSIGNED(L, R01'length), R01);
end function "<";
-- Id: C.10
function "<" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return SIGNED_LESS(TO_SIGNED(L, R01'length), R01);
end function "<";
-- Id: C.11
function "<" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return UNSIGNED_LESS(L01, TO_UNSIGNED(R, L01'length));
end function "<";
-- Id: C.12
function "<" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return SIGNED_LESS(L01, TO_SIGNED(R, L01'length));
end function "<";
-- ============================================================================
-- Id: C.13
function "<=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<=";
-- Id: C.14
function "<=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<=";
-- Id: C.15
function "<=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return UNSIGNED_LESS_OR_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function "<=";
-- Id: C.16
function "<=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return SIGNED_LESS_OR_EQUAL(TO_SIGNED(L, R01'length), R01);
end function "<=";
-- Id: C.17
function "<=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L_LEFT < 0) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return UNSIGNED_LESS_OR_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function "<=";
-- Id: C.18
function "<=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L_LEFT < 0) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return SIGNED_LESS_OR_EQUAL(L01, TO_SIGNED(R, L01'length));
end function "<=";
-- ============================================================================
-- Id: C.19
function ">=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not UNSIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">=";
-- Id: C.20
function ">=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not SIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">=";
-- Id: C.21
function ">=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not UNSIGNED_LESS(TO_UNSIGNED(L, R01'length), R01);
end function ">=";
-- Id: C.22
function ">=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not SIGNED_LESS(TO_SIGNED(L, R01'length), R01);
end function ">=";
-- Id: C.23
function ">=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not UNSIGNED_LESS(L01, TO_UNSIGNED(R, L01'length));
end function ">=";
-- Id: C.24
function ">=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not SIGNED_LESS(L01, TO_SIGNED(R, L01'length));
end function ">=";
-- ============================================================================
-- Id: C.25
function "=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "=";
-- Id: C.26
function "=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "=";
-- Id: C.27
function "=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return false;
end if;
return UNSIGNED_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function "=";
-- Id: C.28
function "=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return false;
end if;
return SIGNED_EQUAL(TO_SIGNED(L, R01'length), R01);
end function "=";
-- Id: C.29
function "=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return false;
end if;
return UNSIGNED_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function "=";
-- Id: C.30
function "=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return false;
end if;
return SIGNED_EQUAL(L01, TO_SIGNED(R, L01'length));
end function "=";
-- ============================================================================
-- Id: C.31
function "/=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
return not(UNSIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE)));
end function "/=";
-- Id: C.32
function "/=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
return not(SIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE)));
end function "/=";
-- Id: C.33
function "/=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not(UNSIGNED_EQUAL(TO_UNSIGNED(L, R01'length), R01));
end function "/=";
-- Id: C.34
function "/=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if SIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not(SIGNED_EQUAL(TO_SIGNED(L, R01'length), R01));
end function "/=";
-- Id: C.35
function "/=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return true;
end if;
return not(UNSIGNED_EQUAL(L01, TO_UNSIGNED(R, L01'length)));
end function "/=";
-- Id: C.36
function "/=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if SIGNED_NUM_BITS(R) > L'length then return true;
end if;
return not(SIGNED_EQUAL(L01, TO_SIGNED(R, L01'length)));
end function "/=";
-- ============================================================================
-- Id: C.37
function MINIMUM (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if UNSIGNED_LESS(L01, R01) then
return L01;
else
return R01;
end if;
end function MINIMUM;
-- Id: C.38
function MINIMUM (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if SIGNED_LESS(L01, R01) then
return L01;
else
return R01;
end if;
end function MINIMUM;
-- Id: C.39
function MINIMUM (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return MINIMUM(TO_UNSIGNED(L, R'length), R);
end function MINIMUM;
-- Id: C.40
function MINIMUM (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return MINIMUM(TO_SIGNED(L, R'length), R);
end function MINIMUM;
-- Id: C.41
function MINIMUM (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return MINIMUM(L, TO_UNSIGNED(R, L'length));
end function MINIMUM;
-- Id: C.42
function MINIMUM (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return MINIMUM(L, TO_SIGNED(R, L'length));
end function MINIMUM;
-- ============================================================================
-- Id: C.43
function MAXIMUM (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if UNSIGNED_LESS(L01, R01) then
return R01;
else
return L01;
end if;
end function MAXIMUM;
-- Id: C.44
function MAXIMUM (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if SIGNED_LESS(L01, R01) then
return R01;
else
return L01;
end if;
end function MAXIMUM;
-- Id: C.45
function MAXIMUM (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return MAXIMUM(TO_UNSIGNED(L, R'length), R);
end function MAXIMUM;
-- Id: C.46
function MAXIMUM (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return MAXIMUM(TO_SIGNED(L, R'length), R);
end function MAXIMUM;
-- Id: C.47
function MAXIMUM (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return MAXIMUM(L, TO_UNSIGNED(R, L'length));
end function MAXIMUM;
-- Id: C.48
function MAXIMUM (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return MAXIMUM(L, TO_SIGNED(R, L'length));
end function MAXIMUM;
-- ============================================================================
-- Id: C.49
function "?>" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L > R then
return '1';
else
return '0';
end if;
end if;
end function "?>";
-- Id: C.50
function "?>" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L > R then
return '1';
else
return '0';
end if;
end if;
end function "?>";
-- Id: C.51
function "?>" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?> R;
end function "?>";
-- Id: C.52
function "?>" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?> R;
end function "?>";
-- Id: C.53
function "?>" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?> TO_UNSIGNED(R, L'length);
end function "?>";
-- Id: C.54
function "?>" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?> TO_SIGNED(R, L'length);
end function "?>";
-- ============================================================================
-- Id: C.55
function "?<" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L < R then
return '1';
else
return '0';
end if;
end if;
end function "?<";
-- Id: C.56
function "?<" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L < R then
return '1';
else
return '0';
end if;
end if;
end function "?<";
-- Id: C.57
function "?<" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?< R;
end function "?<";
-- Id: C.58
function "?<" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?< R;
end function "?<";
-- Id: C.59
function "?<" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?< TO_UNSIGNED(R, L'length);
end function "?<";
-- Id: C.60
function "?<" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?< TO_SIGNED(R, L'length);
end function "?<";
-- ============================================================================
-- Id: C.61
function "?<=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L <= R then
return '1';
else
return '0';
end if;
end if;
end function "?<=";
-- Id: C.62
function "?<=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L <= R then
return '1';
else
return '0';
end if;
end if;
end function "?<=";
-- Id: C.63
function "?<=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?<= R;
end function "?<=";
-- Id: C.64
function "?<=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?<= R;
end function "?<=";
-- Id: C.65
function "?<=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?<= TO_UNSIGNED(R, L'length);
end function "?<=";
-- Id: C.66
function "?<=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?<= TO_SIGNED(R, L'length);
end function "?<=";
-- ============================================================================
-- Id: C.67
function "?>=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L >= R then
return '1';
else
return '0';
end if;
end if;
end function "?>=";
-- Id: C.68
function "?>=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L >= R then
return '1';
else
return '0';
end if;
end if;
end function "?>=";
-- Id: C.69
function "?>=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?>= R;
end function "?>=";
-- Id: C.70
function "?>=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?>= R;
end function "?>=";
-- Id: C.71
function "?>=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?>= TO_UNSIGNED(R, L'length);
end function "?>=";
-- Id: C.72
function "?>=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?>= TO_SIGNED(R, L'length);
end function "?>=";
-- ============================================================================
-- Id: C.73
function "?=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin
-- Logically identical to an "=" operator.
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '1';
for i in LX'low to LX'high loop
result1 := LX(i) ?= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result and result1;
end if;
end loop;
return result;
end if;
end function "?=";
-- Id: C.74
function "?=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '1';
for i in LX'low to LX'high loop
result1 := LX(i) ?= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result and result1;
end if;
end loop;
return result;
end if;
end function "?=";
-- Id: C.75
function "?=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?= R;
end function "?=";
-- Id: C.76
function "?=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?= R;
end function "?=";
-- Id: C.77
function "?=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?= TO_UNSIGNED(R, L'length);
end function "?=";
-- Id: C.78
function "?=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?= TO_SIGNED(R, L'length);
end function "?=";
-- ============================================================================
-- Id: C.79
function "?/=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?/="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '0';
for i in LX'low to LX'high loop
result1 := LX(i) ?/= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result or result1;
end if;
end loop;
return result;
end if;
end function "?/=";
-- Id: C.80
function "?/=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?/="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '0';
for i in LX'low to LX'high loop
result1 := LX(i) ?/= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result or result1;
end if;
end loop;
return result;
end if;
end function "?/=";
-- Id: C.81
function "?/=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?/= R;
end function "?/=";
-- Id: C.82
function "?/=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?/= R;
end function "?/=";
-- Id: C.83
function "?/=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?/= TO_UNSIGNED(R, L'length);
end function "?/=";
-- Id: C.84
function "?/=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?/= TO_SIGNED(R, L'length);
end function "?/=";
-- ============================================================================
-- Id: S.1
function SHIFT_LEFT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XSLL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_LEFT;
-- Id: S.2
function SHIFT_RIGHT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XSRL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_RIGHT;
-- Id: S.3
function SHIFT_LEFT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XSLL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_LEFT;
-- Id: S.4
function SHIFT_RIGHT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XSRA(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_RIGHT;
-- ============================================================================
-- Id: S.5
function ROTATE_LEFT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XROL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_LEFT;
-- Id: S.6
function ROTATE_RIGHT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XROR(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_RIGHT;
-- Id: S.7
function ROTATE_LEFT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XROL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_LEFT;
-- Id: S.8
function ROTATE_RIGHT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XROR(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_RIGHT;
-- ============================================================================
------------------------------------------------------------------------------
-- Note: Function S.9 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.9
function "sll" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sll";
------------------------------------------------------------------------------
-- Note: Function S.10 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.10
function "sll" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return UNRESOLVED_SIGNED(SHIFT_RIGHT(UNRESOLVED_UNSIGNED(ARG), -COUNT));
end if;
end function "sll";
------------------------------------------------------------------------------
-- Note: Function S.11 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.11
function "srl" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "srl";
------------------------------------------------------------------------------
-- Note: Function S.12 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.12
function "srl" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return UNRESOLVED_SIGNED(SHIFT_RIGHT(UNRESOLVED_UNSIGNED(ARG), COUNT));
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "srl";
------------------------------------------------------------------------------
-- Note: Function S.13 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.13
function "rol" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return ROTATE_LEFT(ARG, COUNT);
else
return ROTATE_RIGHT(ARG, -COUNT);
end if;
end function "rol";
------------------------------------------------------------------------------
-- Note: Function S.14 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.14
function "rol" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return ROTATE_LEFT(ARG, COUNT);
else
return ROTATE_RIGHT(ARG, -COUNT);
end if;
end function "rol";
------------------------------------------------------------------------------
-- Note: Function S.15 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.15
function "ror" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return ROTATE_RIGHT(ARG, COUNT);
else
return ROTATE_LEFT(ARG, -COUNT);
end if;
end function "ror";
------------------------------------------------------------------------------
-- Note: Function S.16 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.16
function "ror" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return ROTATE_RIGHT(ARG, COUNT);
else
return ROTATE_LEFT(ARG, -COUNT);
end if;
end function "ror";
------------------------------------------------------------------------------
-- Note: Function S.17 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.17
function "sla" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sla";
------------------------------------------------------------------------------
-- Note: Function S.18 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.18
function "sla" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sla";
------------------------------------------------------------------------------
-- Note: Function S.19 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.19
function "sra" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "sra";
------------------------------------------------------------------------------
-- Note: Function S.20 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.20
function "sra" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "sra";
-- ============================================================================
-- Id: D.1
function TO_INTEGER (ARG : UNRESOLVED_UNSIGNED) return NATURAL is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XXARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0) is ARG;
variable XARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0);
variable RESULT : NATURAL := 0;
begin
if (ARG'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: null detected, returning 0"
severity warning;
return 0;
end if;
XARG := TO_01(XXARG, 'X');
if (XARG(XARG'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: metavalue detected, returning 0"
severity warning;
return 0;
end if;
for I in XARG'range loop
RESULT := RESULT+RESULT;
if XARG(I) = '1' then
RESULT := RESULT + 1;
end if;
end loop;
return RESULT;
end function TO_INTEGER;
-- Id: D.2
function TO_INTEGER (ARG : UNRESOLVED_SIGNED) return INTEGER is
variable XARG : UNRESOLVED_SIGNED(ARG'length-1 downto 0);
begin
if (ARG'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: null detected, returning 0"
severity warning;
return 0;
end if;
XARG := TO_01(ARG, 'X');
if (XARG(XARG'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: metavalue detected, returning 0"
severity warning;
return 0;
end if;
if XARG(XARG'left) = '0' then
return TO_INTEGER(UNRESOLVED_UNSIGNED(XARG));
else
return (- (TO_INTEGER(UNRESOLVED_UNSIGNED(- (XARG + 1)))) -1);
end if;
end function TO_INTEGER;
-- Id: D.3
function TO_UNSIGNED (ARG, SIZE : NATURAL) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable I_VAL : NATURAL := ARG;
begin
if (SIZE < 1) then return NAU;
end if;
for I in 0 to RESULT'left loop
if (I_VAL mod 2) = 0 then
RESULT(I) := '0';
else RESULT(I) := '1';
end if;
I_VAL := I_VAL/2;
end loop;
if not(I_VAL = 0) then
assert NO_WARNING
report "NUMERIC_STD.TO_UNSIGNED: vector truncated"
severity warning;
end if;
return RESULT;
end function TO_UNSIGNED;
-- Id: D.4
function TO_SIGNED (ARG : INTEGER; SIZE : NATURAL) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable B_VAL : STD_LOGIC := '0';
variable I_VAL : INTEGER := ARG;
begin
if (SIZE < 1) then return NAS;
end if;
if (ARG < 0) then
B_VAL := '1';
I_VAL := -(ARG+1);
end if;
for I in 0 to RESULT'left loop
if (I_VAL mod 2) = 0 then
RESULT(I) := B_VAL;
else
RESULT(I) := not B_VAL;
end if;
I_VAL := I_VAL/2;
end loop;
if ((I_VAL /= 0) or (B_VAL /= RESULT(RESULT'left))) then
assert NO_WARNING
report "NUMERIC_STD.TO_SIGNED: vector truncated"
severity warning;
end if;
return RESULT;
end function TO_SIGNED;
function TO_UNSIGNED (ARG : NATURAL; SIZE_RES : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED (ARG => ARG,
SIZE => SIZE_RES'length);
end function TO_UNSIGNED;
function TO_SIGNED (ARG : INTEGER; SIZE_RES : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return TO_SIGNED (ARG => ARG,
SIZE => SIZE_RES'length);
end function TO_SIGNED;
-- ============================================================================
-- Id: R.1
function RESIZE (ARG : UNRESOLVED_SIGNED; NEW_SIZE : NATURAL)
return UNRESOLVED_SIGNED
is
alias INVEC : UNRESOLVED_SIGNED(ARG'length-1 downto 0) is ARG;
variable RESULT : UNRESOLVED_SIGNED(NEW_SIZE-1 downto 0) :=
(others => '0');
constant BOUND : INTEGER := MINIMUM(ARG'length, RESULT'length)-2;
begin
if (NEW_SIZE < 1) then return NAS;
end if;
if (ARG'length = 0) then return RESULT;
end if;
RESULT := (others => ARG(ARG'left));
if BOUND >= 0 then
RESULT(BOUND downto 0) := INVEC(BOUND downto 0);
end if;
return RESULT;
end function RESIZE;
-- Id: R.2
function RESIZE (ARG : UNRESOLVED_UNSIGNED; NEW_SIZE : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT : UNRESOLVED_UNSIGNED(NEW_SIZE-1 downto 0) :=
(others => '0');
begin
if (NEW_SIZE < 1) then return NAU;
end if;
if XARG'length = 0 then return RESULT;
end if;
if (RESULT'length < ARG'length) then
RESULT(RESULT'left downto 0) := XARG(RESULT'left downto 0);
else
RESULT(RESULT'left downto XARG'left+1) := (others => '0');
RESULT(XARG'left downto 0) := XARG;
end if;
return RESULT;
end function RESIZE;
function RESIZE (ARG, SIZE_RES : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return RESIZE (ARG => ARG,
NEW_SIZE => SIZE_RES'length);
end function RESIZE;
function RESIZE (ARG, SIZE_RES : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return RESIZE (ARG => ARG,
NEW_SIZE => SIZE_RES'length);
end function RESIZE;
-- ============================================================================
-- Id: L.1
function "not" (L : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(not(STD_ULOGIC_VECTOR(L)));
return RESULT;
end function "not";
-- Id: L.2
function "and" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) and
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "and";
-- Id: L.3
function "or" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) or
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "or";
-- Id: L.4
function "nand" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) nand
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nand";
-- Id: L.5
function "nor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) nor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nor";
-- Id: L.6
function "xor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) xor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.7 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.7
function "xnor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) xnor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xnor";
-- Id: L.8
function "not" (L : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(not(STD_ULOGIC_VECTOR(L)));
return RESULT;
end function "not";
-- Id: L.9
function "and" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) and STD_ULOGIC_VECTOR(R));
return RESULT;
end function "and";
-- Id: L.10
function "or" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) or STD_ULOGIC_VECTOR(R));
return RESULT;
end function "or";
-- Id: L.11
function "nand" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) nand
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nand";
-- Id: L.12
function "nor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) nor STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nor";
-- Id: L.13
function "xor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) xor STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.14 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.14
function "xnor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) xnor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xnor";
-- Id: L.15
function "and" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L and STD_ULOGIC_VECTOR(R));
end function "and";
-- Id: L.16
function "and" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) and R);
end function "and";
-- Id: L.17
function "or" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L or STD_ULOGIC_VECTOR(R));
end function "or";
-- Id: L.18
function "or" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) or R);
end function "or";
-- Id: L.19
function "nand" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L nand STD_ULOGIC_VECTOR(R));
end function "nand";
-- Id: L.20
function "nand" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) nand R);
end function "nand";
-- Id: L.21
function "nor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L nor STD_ULOGIC_VECTOR(R));
end function "nor";
-- Id: L.22
function "nor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) nor R);
end function "nor";
-- Id: L.23
function "xor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L xor STD_ULOGIC_VECTOR(R));
end function "xor";
-- Id: L.24
function "xor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) xor R);
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.25 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.25
function "xnor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L xnor STD_ULOGIC_VECTOR(R));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.26 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.26
function "xnor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) xnor R);
end function "xnor";
-- Id: L.27
function "and" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L and STD_ULOGIC_VECTOR(R));
end function "and";
-- Id: L.28
function "and" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) and R);
end function "and";
-- Id: L.29
function "or" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L or STD_ULOGIC_VECTOR(R));
end function "or";
-- Id: L.30
function "or" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) or R);
end function "or";
-- Id: L.31
function "nand" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L nand STD_ULOGIC_VECTOR(R));
end function "nand";
-- Id: L.32
function "nand" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) nand R);
end function "nand";
-- Id: L.33
function "nor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L nor STD_ULOGIC_VECTOR(R));
end function "nor";
-- Id: L.34
function "nor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) nor R);
end function "nor";
-- Id: L.35
function "xor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L xor STD_ULOGIC_VECTOR(R));
end function "xor";
-- Id: L.36
function "xor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) xor R);
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.37 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.37
function "xnor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L xnor STD_ULOGIC_VECTOR(R));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.38 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.38
function "xnor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) xnor R);
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.39 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.39
function "and" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return and (STD_ULOGIC_VECTOR (L));
end function "and";
------------------------------------------------------------------------------
-- Note: Function L.40 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.40
function "and" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return and (STD_ULOGIC_VECTOR (L));
end function "and";
------------------------------------------------------------------------------
-- Note: Function L.41 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.41
function "nand" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return nand (STD_ULOGIC_VECTOR (L));
end function "nand";
------------------------------------------------------------------------------
-- Note: Function L.42 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.42
function "nand" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return nand (STD_ULOGIC_VECTOR (L));
end function "nand";
------------------------------------------------------------------------------
-- Note: Function L.43 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.43
function "or" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return or (STD_ULOGIC_VECTOR (L));
end function "or";
------------------------------------------------------------------------------
-- Note: Function L.44 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.44
function "or" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return or (STD_ULOGIC_VECTOR (L));
end function "or";
------------------------------------------------------------------------------
-- Note: Function L.45 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.45
function "nor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return nor (STD_ULOGIC_VECTOR (L));
end function "nor";
------------------------------------------------------------------------------
-- Note: Function L.46 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.46
function "nor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return nor (STD_ULOGIC_VECTOR (L));
end function "nor";
------------------------------------------------------------------------------
-- Note: Function L.47 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.47
function "xor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return xor (STD_ULOGIC_VECTOR (L));
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.48 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.48
function "xor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return xor (STD_ULOGIC_VECTOR (L));
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.49 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.49
function "xnor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return xnor (STD_ULOGIC_VECTOR (L));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.50 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.50
function "xnor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return xnor (STD_ULOGIC_VECTOR (L));
end function "xnor";
-- ============================================================================
-- support constants for STD_MATCH:
type BOOLEAN_TABLE is array(STD_ULOGIC, STD_ULOGIC) of BOOLEAN;
constant MATCH_TABLE : BOOLEAN_TABLE := (
--------------------------------------------------------------------------
-- U X 0 1 Z W L H -
--------------------------------------------------------------------------
(false, false, false, false, false, false, false, false, true), -- | U |
(false, false, false, false, false, false, false, false, true), -- | X |
(false, false, true, false, false, false, true, false, true), -- | 0 |
(false, false, false, true, false, false, false, true, true), -- | 1 |
(false, false, false, false, false, false, false, false, true), -- | Z |
(false, false, false, false, false, false, false, false, true), -- | W |
(false, false, true, false, false, false, true, false, true), -- | L |
(false, false, false, true, false, false, false, true, true), -- | H |
(true, true, true, true, true, true, true, true, true) -- | - |
);
-- Id: M.1
function STD_MATCH (L, R : STD_ULOGIC) return BOOLEAN is
variable VALUE : STD_ULOGIC;
begin
return MATCH_TABLE(L, R);
end function STD_MATCH;
-- Id: M.2
function STD_MATCH (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
alias LV : UNRESOLVED_UNSIGNED(1 to L'length) is L;
alias RV : UNRESOLVED_UNSIGNED(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- Id: M.3
function STD_MATCH (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
alias LV : UNRESOLVED_SIGNED(1 to L'length) is L;
alias RV : UNRESOLVED_SIGNED(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- Id: M.5
function STD_MATCH (L, R : STD_ULOGIC_VECTOR) return BOOLEAN is
alias LV : STD_ULOGIC_VECTOR(1 to L'length) is L;
alias RV : STD_ULOGIC_VECTOR(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- ============================================================================
-- function TO_01 is used to convert vectors to the
-- correct form for exported functions,
-- and to report if there is an element which
-- is not in (0, 1, H, L).
-- Id: T.1
function TO_01 (S : UNRESOLVED_UNSIGNED; XMAP : STD_ULOGIC := '0')
return UNRESOLVED_UNSIGNED is
begin
if (S'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_01: null detected, returning NAU"
severity warning;
return NAU;
end if;
return UNRESOLVED_UNSIGNED(TO_01(STD_ULOGIC_VECTOR(S), XMAP));
end function TO_01;
-- Id: T.2
function TO_01 (S : UNRESOLVED_SIGNED; XMAP : STD_ULOGIC := '0')
return UNRESOLVED_SIGNED is
begin
if (S'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_01: null detected, returning NAS"
severity warning;
return NAS;
end if;
return UNRESOLVED_SIGNED(TO_01(STD_ULOGIC_VECTOR(S), XMAP));
end function TO_01;
-- Id: T.3
function TO_X01 (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_X01(STD_ULOGIC_VECTOR(S)));
end function TO_X01;
-- Id: T.4
function TO_X01 (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_X01(STD_ULOGIC_VECTOR(S)));
end function TO_X01;
-- Id: T.5
function TO_X01Z (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_X01Z(STD_ULOGIC_VECTOR(S)));
end function TO_X01Z;
-- Id: T.6
function TO_X01Z (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_X01Z(STD_ULOGIC_VECTOR(S)));
end function TO_X01Z;
-- Id: T.7
function TO_UX01 (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_UX01(STD_ULOGIC_VECTOR(S)));
end function TO_UX01;
-- Id: T.8
function TO_UX01 (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_UX01(STD_ULOGIC_VECTOR(S)));
end function TO_UX01;
-- Id: T.9
function IS_X (S : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return IS_X(STD_ULOGIC_VECTOR(S));
end function IS_X;
-- Id: T.10
function IS_X (S : UNRESOLVED_SIGNED) return BOOLEAN is
begin
return IS_X(STD_ULOGIC_VECTOR(S));
end function IS_X;
-- ============================================================================
-- string conversion and write operations
-- ============================================================================
function to_ostring (value : UNRESOLVED_UNSIGNED) return STRING is
begin
return to_ostring(STD_ULOGIC_VECTOR (value));
end function to_ostring;
function to_ostring (value : UNRESOLVED_SIGNED) return STRING is
constant result_length : INTEGER := (value'length+2)/3;
constant pad : STD_ULOGIC_VECTOR(1 to (result_length*3 -
value'length))
:= (others => value (value'left)); -- Extend sign bit
begin
return to_ostring(pad & STD_ULOGIC_VECTOR (value));
end function to_ostring;
function to_hstring (value : UNRESOLVED_UNSIGNED) return STRING is
begin
return to_hstring(STD_ULOGIC_VECTOR (value));
end function to_hstring;
function to_hstring (value : UNRESOLVED_SIGNED) return STRING is
constant result_length : INTEGER := (value'length+3)/4;
constant pad : STD_ULOGIC_VECTOR(1 to (result_length*4 -
value'length))
:= (others => value (value'left)); -- Extend sign bit
begin
return to_hstring(pad & STD_ULOGIC_VECTOR (value));
end function to_hstring;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := SIGNED(ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue);
VALUE := SIGNED (ivalue);
end procedure READ;
procedure WRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
WRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure WRITE;
procedure WRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
WRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure WRITE;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
OREAD (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
constant ne : INTEGER := (value'length+2)/3;
constant pad : INTEGER := ne*3 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*3-1);
variable ok : BOOLEAN;
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
OREAD (L => L,
VALUE => ivalue, -- Read padded STRING
GOOD => ok);
-- Bail out if there was a bad read
if not ok then
GOOD := false;
return;
end if;
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
GOOD := false;
else
GOOD := true;
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
OREAD (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
constant ne : INTEGER := (value'length+2)/3;
constant pad : INTEGER := ne*3 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*3-1);
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
OREAD (L => L,
VALUE => ivalue); -- Read padded string
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
assert false
report "NUMERIC_STD.OREAD Error: Signed vector truncated"
severity error;
else
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure OREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
HREAD (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
constant ne : INTEGER := (value'length+3)/4;
constant pad : INTEGER := ne*4 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*4-1);
variable ok : BOOLEAN;
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
HREAD (L => L,
VALUE => ivalue, -- Read padded STRING
GOOD => ok);
if not ok then
GOOD := false;
return;
end if;
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
GOOD := false;
else
GOOD := true;
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
HREAD (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
constant ne : INTEGER := (value'length+3)/4;
constant pad : INTEGER := ne*4 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*4-1);
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
HREAD (L => L,
VALUE => ivalue); -- Read padded string
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
assert false
report "NUMERIC_STD.HREAD Error: Signed vector truncated"
severity error;
else
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure HREAD;
procedure OWRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
OWRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure OWRITE;
procedure OWRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
constant ne : INTEGER := (VALUE'length+2)/3;
constant pad : STD_ULOGIC_VECTOR(0 to (ne*3 - VALUE'length) - 1)
:= (others => VALUE (VALUE'left));
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
OWRITE (L => L,
VALUE => pad & ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure OWRITE;
procedure HWRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
HWRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure HWRITE;
procedure HWRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
constant ne : INTEGER := (value'length+3)/4;
constant pad : STD_ULOGIC_VECTOR(0 to (ne*4 - value'length) - 1)
:= (others => VALUE(VALUE'left));
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
HWRITE (L => L,
VALUE => pad & ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure HWRITE;
end package body NUMERIC_STD;
|
-- --------------------------------------------------------------------
--
-- Copyright © 2008 by IEEE. All rights reserved.
--
-- This source file is an essential part of IEEE Std 1076-2008,
-- IEEE Standard VHDL Language Reference Manual. This source file may not be
-- copied, sold, or included with software that is sold without written
-- permission from the IEEE Standards Department. This source file may be
-- copied for individual use between licensed users. This source file is
-- provided on an AS IS basis. The IEEE disclaims ANY WARRANTY EXPRESS OR
-- IMPLIED INCLUDING ANY WARRANTY OF MERCHANTABILITY AND FITNESS FOR USE
-- FOR A PARTICULAR PURPOSE. The user of the source file shall indemnify
-- and hold IEEE harmless from any damages or liability arising out of the
-- use thereof.
--
-- Title : Standard VHDL Synthesis Packages
-- : (NUMERIC_STD package body)
-- :
-- Library : This package shall be compiled into a library
-- : symbolically named IEEE.
-- :
-- Developers: IEEE DASC Synthesis Working Group,
-- : Accellera VHDL-TC, and IEEE P1076 Working Group
-- :
-- Purpose : This package defines numeric types and arithmetic functions
-- : for use with synthesis tools. Two numeric types are defined:
-- : -- > UNRESOLVED_UNSIGNED: represents an UNSIGNED number
-- : in vector form
-- : -- > UNRESOLVED_SIGNED: represents a SIGNED number
-- : in vector form
-- : The base element type is type STD_ULOGIC.
-- : Aliases U_UNSIGNED and U_SIGNED are defined for the types
-- : UNRESOLVED_UNSIGNED and UNRESOLVED_SIGNED, respectively.
-- : Two numeric subtypes are defined:
-- : -- > UNSIGNED: represents UNSIGNED number in vector form
-- : -- > SIGNED: represents a SIGNED number in vector form
-- : The element subtypes are the same subtype as STD_LOGIC.
-- : The leftmost bit is treated as the most significant bit.
-- : Signed vectors are represented in two's complement form.
-- : This package contains overloaded arithmetic operators on
-- : the SIGNED and UNSIGNED types. The package also contains
-- : useful type conversions functions, clock detection
-- : functions, and other utility functions.
-- :
-- : If any argument to a function is a null array, a null array
-- : is returned (exceptions, if any, are noted individually).
--
-- Note : This package may be modified to include additional data
-- : required by tools, but it must in no way change the
-- : external interfaces or simulation behavior of the
-- : description. It is permissible to add comments and/or
-- : attributes to the package declarations, but not to change
-- : or delete any original lines of the package declaration.
-- : The package body may be changed only in accordance with
-- : the terms of Clause 16 of this standard.
-- :
-- --------------------------------------------------------------------
-- $Revision: 1220 $
-- $Date: 2008-04-10 17:16:09 +0930 (Thu, 10 Apr 2008) $
-- --------------------------------------------------------------------
package body NUMERIC_STD is
-- null range array constants
constant NAU : UNRESOLVED_UNSIGNED (0 downto 1) := (others => '0');
constant NAS : UNRESOLVED_SIGNED (0 downto 1) := (others => '0');
-- implementation controls
constant NO_WARNING : BOOLEAN := false; -- default to emit warnings
-- =========================Local Subprograms =================================
function SIGNED_NUM_BITS (ARG : INTEGER) return NATURAL is
variable NBITS : NATURAL;
variable N : NATURAL;
begin
if ARG >= 0 then
N := ARG;
else
N := -(ARG+1);
end if;
NBITS := 1;
while N > 0 loop
NBITS := NBITS+1;
N := N / 2;
end loop;
return NBITS;
end function SIGNED_NUM_BITS;
function UNSIGNED_NUM_BITS (ARG : NATURAL) return NATURAL is
variable NBITS : NATURAL;
variable N : NATURAL;
begin
N := ARG;
NBITS := 1;
while N > 1 loop
NBITS := NBITS+1;
N := N / 2;
end loop;
return NBITS;
end function UNSIGNED_NUM_BITS;
------------------------------------------------------------------------
-- this internal function computes the addition of two UNRESOLVED_UNSIGNED
-- with input CARRY
-- * the two arguments are of the same length
function ADD_UNSIGNED (L, R : UNRESOLVED_UNSIGNED; C : STD_LOGIC)
return UNRESOLVED_UNSIGNED
is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is R;
variable RESULT : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable CBIT : STD_LOGIC := C;
begin
for I in 0 to L_LEFT loop
RESULT(I) := CBIT xor XL(I) xor XR(I);
CBIT := (CBIT and XL(I)) or (CBIT and XR(I)) or (XL(I) and XR(I));
end loop;
return RESULT;
end function ADD_UNSIGNED;
-- this internal function computes the addition of two UNRESOLVED_SIGNED
-- with input CARRY
-- * the two arguments are of the same length
function ADD_SIGNED (L, R : UNRESOLVED_SIGNED; C : STD_LOGIC)
return UNRESOLVED_SIGNED
is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(L_LEFT downto 0) is R;
variable RESULT : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable CBIT : STD_LOGIC := C;
begin
for I in 0 to L_LEFT loop
RESULT(I) := CBIT xor XL(I) xor XR(I);
CBIT := (CBIT and XL(I)) or (CBIT and XR(I)) or (XL(I) and XR(I));
end loop;
return RESULT;
end function ADD_SIGNED;
-----------------------------------------------------------------------------
-- this internal procedure computes UNSIGNED division
-- giving the quotient and remainder.
procedure DIVMOD (NUM, XDENOM : UNRESOLVED_UNSIGNED;
XQUOT, XREMAIN : out UNRESOLVED_UNSIGNED) is
variable TEMP : UNRESOLVED_UNSIGNED(NUM'length downto 0);
variable QUOT : UNRESOLVED_UNSIGNED(MAXIMUM(NUM'length, XDENOM'length)-1
downto 0);
alias DENOM : UNRESOLVED_UNSIGNED(XDENOM'length-1 downto 0) is XDENOM;
variable TOPBIT : INTEGER;
begin
TEMP := "0"&NUM;
QUOT := (others => '0');
TOPBIT := -1;
for J in DENOM'range loop
if DENOM(J) = '1' then
TOPBIT := J;
exit;
end if;
end loop;
assert TOPBIT >= 0 report "NUMERIC_STD.DIVMOD: DIV, MOD, or REM by zero"
severity error;
for J in NUM'length-(TOPBIT+1) downto 0 loop
if TEMP(TOPBIT+J+1 downto J) >= "0"&DENOM(TOPBIT downto 0) then
TEMP(TOPBIT+J+1 downto J) := (TEMP(TOPBIT+J+1 downto J))
-("0"&DENOM(TOPBIT downto 0));
QUOT(J) := '1';
end if;
assert TEMP(TOPBIT+J+1) = '0'
report "NUMERIC_STD.DIVMOD: internal error in the division algorithm"
severity error;
end loop;
XQUOT := RESIZE(QUOT, XQUOT'length);
XREMAIN := RESIZE(TEMP, XREMAIN'length);
end procedure DIVMOD;
-----------------Local Subprograms - shift/rotate ops-------------------------
function XSLL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := (others => '0');
begin
if COUNT <= ARG_L then
RESULT(ARG_L downto COUNT) := XARG(ARG_L-COUNT downto 0);
end if;
return RESULT;
end function XSLL;
function XSRL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := (others => '0');
begin
if COUNT <= ARG_L then
RESULT(ARG_L-COUNT downto 0) := XARG(ARG_L downto COUNT);
end if;
return RESULT;
end function XSRL;
function XSRA (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0);
variable XCOUNT : NATURAL := COUNT;
begin
if ((ARG'length <= 1) or (XCOUNT = 0)) then return ARG;
else
if (XCOUNT > ARG_L) then XCOUNT := ARG_L;
end if;
RESULT(ARG_L-XCOUNT downto 0) := XARG(ARG_L downto XCOUNT);
RESULT(ARG_L downto (ARG_L - XCOUNT + 1)) := (others => XARG(ARG_L));
end if;
return RESULT;
end function XSRA;
function XROL (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := XARG;
variable COUNTM : INTEGER;
begin
COUNTM := COUNT mod (ARG_L + 1);
if COUNTM /= 0 then
RESULT(ARG_L downto COUNTM) := XARG(ARG_L-COUNTM downto 0);
RESULT(COUNTM-1 downto 0) := XARG(ARG_L downto ARG_L-COUNTM+1);
end if;
return RESULT;
end function XROL;
function XROR (ARG : STD_ULOGIC_VECTOR; COUNT : NATURAL)
return STD_ULOGIC_VECTOR
is
constant ARG_L : INTEGER := ARG'length-1;
alias XARG : STD_ULOGIC_VECTOR(ARG_L downto 0) is ARG;
variable RESULT : STD_ULOGIC_VECTOR(ARG_L downto 0) := XARG;
variable COUNTM : INTEGER;
begin
COUNTM := COUNT mod (ARG_L + 1);
if COUNTM /= 0 then
RESULT(ARG_L-COUNTM downto 0) := XARG(ARG_L downto COUNTM);
RESULT(ARG_L downto ARG_L-COUNTM+1) := XARG(COUNTM-1 downto 0);
end if;
return RESULT;
end function XROR;
-----------------Local Subprograms - Relational ops---------------------------
--
-- General "=" for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_EQUAL (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) = STD_ULOGIC_VECTOR(R);
end function UNSIGNED_EQUAL;
--
-- General "=" for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_EQUAL (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) = STD_ULOGIC_VECTOR(R);
end function SIGNED_EQUAL;
--
-- General "<" for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_LESS (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) < STD_ULOGIC_VECTOR(R);
end function UNSIGNED_LESS;
--
-- General "<" function for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_LESS (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
variable INTERN_L : UNRESOLVED_SIGNED(0 to L'length-1);
variable INTERN_R : UNRESOLVED_SIGNED(0 to R'length-1);
begin
INTERN_L := L;
INTERN_R := R;
INTERN_L(0) := not INTERN_L(0);
INTERN_R(0) := not INTERN_R(0);
return STD_ULOGIC_VECTOR(INTERN_L) < STD_ULOGIC_VECTOR(INTERN_R);
end function SIGNED_LESS;
--
-- General "<=" function for UNRESOLVED_UNSIGNED vectors, same length
--
function UNSIGNED_LESS_OR_EQUAL (L, R : UNRESOLVED_UNSIGNED)
return BOOLEAN is
begin
return STD_ULOGIC_VECTOR(L) <= STD_ULOGIC_VECTOR(R);
end function UNSIGNED_LESS_OR_EQUAL;
--
-- General "<=" function for UNRESOLVED_SIGNED vectors, same length
--
function SIGNED_LESS_OR_EQUAL (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
-- Need aliases to assure index direction
variable INTERN_L : UNRESOLVED_SIGNED(0 to L'length-1);
variable INTERN_R : UNRESOLVED_SIGNED(0 to R'length-1);
begin
INTERN_L := L;
INTERN_R := R;
INTERN_L(0) := not INTERN_L(0);
INTERN_R(0) := not INTERN_R(0);
return STD_ULOGIC_VECTOR(INTERN_L) <= STD_ULOGIC_VECTOR(INTERN_R);
end function SIGNED_LESS_OR_EQUAL;
-- =========================Exported Functions ==========================
-- Id: A.1
function "abs" (ARG : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_SIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT : UNRESOLVED_SIGNED(ARG_LEFT downto 0);
begin
if ARG'length < 1 then return NAS;
end if;
RESULT := TO_01(XARG, 'X');
if (RESULT(RESULT'left) = 'X') then return RESULT;
end if;
if RESULT(RESULT'left) = '1' then
RESULT := -RESULT;
end if;
return RESULT;
end function "abs";
-- Id: A.2
function "-" (ARG : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_SIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT, XARG01 : UNRESOLVED_SIGNED(ARG_LEFT downto 0);
variable CBIT : STD_LOGIC := '1';
begin
if ARG'length < 1 then return NAS;
end if;
XARG01 := TO_01(ARG, 'X');
if (XARG01(XARG01'left) = 'X') then return XARG01;
end if;
for I in 0 to RESULT'left loop
RESULT(I) := not(XARG01(I)) xor CBIT;
CBIT := CBIT and not(XARG01(I));
end loop;
return RESULT;
end function "-";
-- ============================================================================
-- Id: A.3
function "+" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_UNSIGNED(L01, R01, '0');
end function "+";
-- Id: A.3R
function "+" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED
is
variable XR : UNRESOLVED_UNSIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L + XR);
end function "+";
-- Id: A.3L
function "+" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
variable XL : UNRESOLVED_UNSIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL + R);
end function "+";
-- Id: A.4
function "+" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_SIGNED(L01, R01, '0');
end function "+";
-- Id: A.4R
function "+" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED
is
variable XR : UNRESOLVED_SIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L + XR);
end function "+";
-- Id: A.4L
function "+" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
variable XL : UNRESOLVED_SIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL + R);
end function "+";
-- Id: A.5
function "+" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L + TO_UNSIGNED(R, L'length);
end function "+";
-- Id: A.6
function "+" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) + R;
end function "+";
-- Id: A.7
function "+" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return L + TO_SIGNED(R, L'length);
end function "+";
-- Id: A.8
function "+" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) + R;
end function "+";
-- ============================================================================
-- Id: A.9
function "-" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_UNSIGNED(L01, not(R01), '1');
end function "-";
-- Id: A.9R
function "-" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED
is
variable XR : UNRESOLVED_UNSIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L - XR);
end function "-";
-- Id: A.9L
function "-" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
variable XL : UNRESOLVED_UNSIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL - R);
end function "-";
-- Id: A.10
function "-" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
return ADD_SIGNED(L01, not(R01), '1');
end function "-";
-- Id: A.10R
function "-" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED
is
variable XR : UNRESOLVED_SIGNED(L'length-1 downto 0) := (others => '0');
begin
XR(0) := R;
return (L - XR);
end function "-";
-- Id: A.10L
function "-" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
variable XL : UNRESOLVED_SIGNED(R'length-1 downto 0) := (others => '0');
begin
XL(0) := L;
return (XL - R);
end function "-";
-- Id: A.11
function "-" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L - TO_UNSIGNED(R, L'length);
end function "-";
-- Id: A.12
function "-" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) - R;
end function "-";
-- Id: A.13
function "-" (L : UNRESOLVED_SIGNED; R : INTEGER) return UNRESOLVED_SIGNED is
begin
return L - TO_SIGNED(R, L'length);
end function "-";
-- Id: A.14
function "-" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) - R;
end function "-";
-- ============================================================================
-- Id: A.15
function "*" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable RESULT : UNRESOLVED_UNSIGNED((L'length+R'length-1) downto 0) :=
(others => '0');
variable ADVAL : UNRESOLVED_UNSIGNED((L'length+R'length-1) downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
RESULT := (others => 'X');
return RESULT;
end if;
ADVAL := RESIZE(XR, RESULT'length);
for I in 0 to L_LEFT loop
if XL(I) = '1' then RESULT := RESULT + ADVAL;
end if;
ADVAL := SHIFT_LEFT(ADVAL, 1);
end loop;
return RESULT;
end function "*";
-- Id: A.16
function "*" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable RESULT : UNRESOLVED_SIGNED((L_LEFT+R_LEFT+1) downto 0) :=
(others => '0');
variable ADVAL : UNRESOLVED_SIGNED((L_LEFT+R_LEFT+1) downto 0);
begin
if ((L_LEFT < 0) or (R_LEFT < 0)) then return NAS;
end if;
XL := TO_01(L, 'X');
XR := TO_01(R, 'X');
if ((XL(L_LEFT) = 'X') or (XR(R_LEFT) = 'X')) then
RESULT := (others => 'X');
return RESULT;
end if;
ADVAL := RESIZE(XR, RESULT'length);
for I in 0 to L_LEFT-1 loop
if XL(I) = '1' then RESULT := RESULT + ADVAL;
end if;
ADVAL := SHIFT_LEFT(ADVAL, 1);
end loop;
if XL(L_LEFT) = '1' then
RESULT := RESULT - ADVAL;
end if;
return RESULT;
end function "*";
-- Id: A.17
function "*" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return L * TO_UNSIGNED(R, L'length);
end function "*";
-- Id: A.18
function "*" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED(L, R'length) * R;
end function "*";
-- Id: A.19
function "*" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return L * TO_SIGNED(R, L'length);
end function "*";
-- Id: A.20
function "*" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return TO_SIGNED(L, R'length) * R;
end function "*";
-- ============================================================================
-- Id: A.21
function "/" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FQUOT := (others => 'X');
return FQUOT;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FQUOT;
end function "/";
-- Id: A.22
function "/" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable QNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FQUOT := (others => 'X');
return UNRESOLVED_SIGNED(FQUOT);
end if;
if XL(XL'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-XL);
QNEG := true;
else
XNUM := UNRESOLVED_UNSIGNED(XL);
end if;
if XR(XR'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-XR);
QNEG := not QNEG;
else
XDENOM := UNRESOLVED_UNSIGNED(XR);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if QNEG then FQUOT := "0"-FQUOT;
end if;
return UNRESOLVED_SIGNED(FQUOT);
end function "/";
-- Id: A.23
function "/" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, QUOT : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
if (R_LENGTH > L'length) then
QUOT := (others => '0');
return RESIZE(QUOT, L'length);
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
QUOT := RESIZE((L / XR), QUOT'length);
return RESIZE(QUOT, L'length);
end function "/";
-- Id: A.24
function "/" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, QUOT : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAU;
end if;
XL := TO_UNSIGNED(L, L_LENGTH);
QUOT := RESIZE((XL / R), QUOT'length);
if L_LENGTH > R'length and QUOT(0) /= 'X'
and QUOT(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""/"": Quotient Truncated"
severity warning;
end if;
return RESIZE(QUOT, R'length);
end function "/";
-- Id: A.25
function "/" (L : UNRESOLVED_SIGNED; R : INTEGER) return UNRESOLVED_SIGNED is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, QUOT : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
if (R_LENGTH > L'length) then
QUOT := (others => '0');
return RESIZE(QUOT, L'length);
end if;
XR := TO_SIGNED(R, R_LENGTH);
QUOT := RESIZE((L / XR), QUOT'length);
return RESIZE(QUOT, L'length);
end function "/";
-- Id: A.26
function "/" (L : INTEGER; R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, QUOT : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
QUOT := RESIZE((XL / R), QUOT'length);
if L_LENGTH > R'length and QUOT(0) /= 'X'
and QUOT(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => QUOT(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""/"": Quotient Truncated"
severity warning;
end if;
return RESIZE(QUOT, R'length);
end function "/";
-- ============================================================================
-- Id: A.27
function "rem" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return FREMAIN;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FREMAIN;
end function "rem";
-- Id: A.28
function "rem" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable RNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XNUM := UNRESOLVED_UNSIGNED(TO_01(XXL, 'X'));
XDENOM := UNRESOLVED_UNSIGNED(TO_01(XXR, 'X'));
if ((XNUM(XNUM'left) = 'X') or (XDENOM(XDENOM'left) = 'X')) then
FREMAIN := (others => 'X');
return UNRESOLVED_SIGNED(FREMAIN);
end if;
if XNUM(XNUM'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-UNRESOLVED_SIGNED(XNUM));
RNEG := true;
else
XNUM := UNRESOLVED_UNSIGNED(XNUM);
end if;
if XDENOM(XDENOM'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-UNRESOLVED_SIGNED(XDENOM));
else
XDENOM := UNRESOLVED_UNSIGNED(XDENOM);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if RNEG then
FREMAIN := "0"-FREMAIN;
end if;
return UNRESOLVED_SIGNED(FREMAIN);
end function "rem";
-- Id: A.29
function "rem" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
XREM := L rem XR;
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "rem";
-- Id: A.30
function "rem" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
XL := TO_UNSIGNED(L, L_LENGTH);
XREM := XL rem R;
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "rem";
-- Id: A.31
function "rem" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
XR := TO_SIGNED(R, R_LENGTH);
XREM := RESIZE((L rem XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => XREM(L'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "rem";
-- Id: A.32
function "rem" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
XREM := RESIZE((XL rem R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => XREM(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""rem"": Remainder Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "rem";
-- ============================================================================
-- Id: A.33
function "mod" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return FREMAIN;
end if;
DIVMOD(XL, XR, FQUOT, FREMAIN);
return FREMAIN;
end function "mod";
-- Id: A.34
function "mod" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XXL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XXR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable XL : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable XR : UNRESOLVED_SIGNED(R_LEFT downto 0);
variable FQUOT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable FREMAIN : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable XNUM : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
variable XDENOM : UNRESOLVED_UNSIGNED(R'length-1 downto 0);
variable RNEG : BOOLEAN := false;
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
XL := TO_01(XXL, 'X');
XR := TO_01(XXR, 'X');
if ((XL(XL'left) = 'X') or (XR(XR'left) = 'X')) then
FREMAIN := (others => 'X');
return UNRESOLVED_SIGNED(FREMAIN);
end if;
if XL(XL'left) = '1' then
XNUM := UNRESOLVED_UNSIGNED(-XL);
else
XNUM := UNRESOLVED_UNSIGNED(XL);
end if;
if XR(XR'left) = '1' then
XDENOM := UNRESOLVED_UNSIGNED(-XR);
RNEG := true;
else
XDENOM := UNRESOLVED_UNSIGNED(XR);
end if;
DIVMOD(XNUM, XDENOM, FQUOT, FREMAIN);
if RNEG and L(L'left) = '1' then
FREMAIN := "0"-FREMAIN;
elsif RNEG and FREMAIN /= "0" then
FREMAIN := FREMAIN-XDENOM;
elsif L(L'left) = '1' and FREMAIN /= "0" then
FREMAIN := XDENOM-FREMAIN;
end if;
return UNRESOLVED_SIGNED(FREMAIN);
end function "mod";
-- Id: A.35
function "mod" (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, UNSIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_UNSIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAU;
end if;
XR := TO_UNSIGNED(R, R_LENGTH);
XREM := RESIZE((L mod XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "mod";
-- Id: A.36
function "mod" (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(UNSIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_UNSIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAU;
end if;
XL := TO_UNSIGNED(L, L_LENGTH);
XREM := RESIZE((XL mod R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => '0')
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "mod";
-- Id: A.37
function "mod" (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED
is
constant R_LENGTH : NATURAL := MAXIMUM(L'length, SIGNED_NUM_BITS(R));
variable XR, XREM : UNRESOLVED_SIGNED(R_LENGTH-1 downto 0);
begin
if (L'length < 1) then return NAS;
end if;
XR := TO_SIGNED(R, R_LENGTH);
XREM := RESIZE((L mod XR), XREM'length);
if R_LENGTH > L'length and XREM(0) /= 'X'
and XREM(R_LENGTH-1 downto L'length)
/= (R_LENGTH-1 downto L'length => XREM(L'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, L'length);
end function "mod";
-- Id: A.38
function "mod" (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED
is
constant L_LENGTH : NATURAL := MAXIMUM(SIGNED_NUM_BITS(L), R'length);
variable XL, XREM : UNRESOLVED_SIGNED(L_LENGTH-1 downto 0);
begin
if (R'length < 1) then return NAS;
end if;
XL := TO_SIGNED(L, L_LENGTH);
XREM := RESIZE((XL mod R), XREM'length);
if L_LENGTH > R'length and XREM(0) /= 'X'
and XREM(L_LENGTH-1 downto R'length)
/= (L_LENGTH-1 downto R'length => XREM(R'length-1))
then
assert NO_WARNING report "NUMERIC_STD.""mod"": Modulus Truncated"
severity warning;
end if;
return RESIZE(XREM, R'length);
end function "mod";
-- ============================================================================
-- Id: A.39
function find_leftmost (ARG : UNRESOLVED_UNSIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_leftmost;
-- Id: A.40
function find_leftmost (ARG : UNRESOLVED_SIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_leftmost;
-- Id: A.41
function find_rightmost (ARG : UNRESOLVED_UNSIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'reverse_range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_rightmost;
-- Id: A.42
function find_rightmost (ARG : UNRESOLVED_SIGNED; Y : STD_ULOGIC)
return INTEGER is
begin
for INDEX in ARG'reverse_range loop
if ARG(INDEX) ?= Y then
return INDEX;
end if;
end loop;
return -1;
end function find_rightmost;
-- ============================================================================
-- Id: C.1
function ">" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not UNSIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">";
-- Id: C.2
function ">" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not SIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">";
-- Id: C.3
function ">" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not UNSIGNED_LESS_OR_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function ">";
-- Id: C.4
function ">" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not SIGNED_LESS_OR_EQUAL(TO_SIGNED(L, R01'length), R01);
end function ">";
-- Id: C.5
function ">" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return false;
end if;
return not UNSIGNED_LESS_OR_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function ">";
-- Id: C.6
function ">" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not SIGNED_LESS_OR_EQUAL(L01, TO_SIGNED(R, L01'length));
end function ">";
-- ============================================================================
-- Id: C.7
function "<" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<";
-- Id: C.8
function "<" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<";
-- Id: C.9
function "<" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return UNSIGNED_LESS(TO_UNSIGNED(L, R01'length), R01);
end function "<";
-- Id: C.10
function "<" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return SIGNED_LESS(TO_SIGNED(L, R01'length), R01);
end function "<";
-- Id: C.11
function "<" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return UNSIGNED_LESS(L01, TO_UNSIGNED(R, L01'length));
end function "<";
-- Id: C.12
function "<" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<"": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<"": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return SIGNED_LESS(L01, TO_SIGNED(R, L01'length));
end function "<";
-- ============================================================================
-- Id: C.13
function "<=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<=";
-- Id: C.14
function "<=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_LESS_OR_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "<=";
-- Id: C.15
function "<=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return UNSIGNED_LESS_OR_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function "<=";
-- Id: C.16
function "<=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L < 0;
end if;
return SIGNED_LESS_OR_EQUAL(TO_SIGNED(L, R01'length), R01);
end function "<=";
-- Id: C.17
function "<=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L_LEFT < 0) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return UNSIGNED_LESS_OR_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function "<=";
-- Id: C.18
function "<=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L_LEFT < 0) then
assert NO_WARNING
report "NUMERIC_STD.""<="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""<="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 < R;
end if;
return SIGNED_LESS_OR_EQUAL(L01, TO_SIGNED(R, L01'length));
end function "<=";
-- ============================================================================
-- Id: C.19
function ">=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not UNSIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">=";
-- Id: C.20
function ">=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return not SIGNED_LESS(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function ">=";
-- Id: C.21
function ">=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not UNSIGNED_LESS(TO_UNSIGNED(L, R01'length), R01);
end function ">=";
-- Id: C.22
function ">=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return L > 0;
end if;
return not SIGNED_LESS(TO_SIGNED(L, R01'length), R01);
end function ">=";
-- Id: C.23
function ">=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not UNSIGNED_LESS(L01, TO_UNSIGNED(R, L01'length));
end function ">=";
-- Id: C.24
function ">=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD."">="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD."">="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return 0 > R;
end if;
return not SIGNED_LESS(L01, TO_SIGNED(R, L01'length));
end function ">=";
-- ============================================================================
-- Id: C.25
function "=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return UNSIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "=";
-- Id: C.26
function "=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
return SIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE));
end function "=";
-- Id: C.27
function "=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return false;
end if;
return UNSIGNED_EQUAL(TO_UNSIGNED(L, R01'length), R01);
end function "=";
-- Id: C.28
function "=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(L) > R'length then return false;
end if;
return SIGNED_EQUAL(TO_SIGNED(L, R01'length), R01);
end function "=";
-- Id: C.29
function "=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return false;
end if;
return UNSIGNED_EQUAL(L01, TO_UNSIGNED(R, L01'length));
end function "=";
-- Id: C.30
function "=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""="": null argument detected, returning FALSE"
severity warning;
return false;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""="": metavalue detected, returning FALSE"
severity warning;
return false;
end if;
if SIGNED_NUM_BITS(R) > L'length then return false;
end if;
return SIGNED_EQUAL(L01, TO_SIGNED(R, L01'length));
end function "=";
-- ============================================================================
-- Id: C.31
function "/=" (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
return not(UNSIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE)));
end function "/=";
-- Id: C.32
function "/=" (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
R01 := TO_01(XR, 'X');
if ((L01(L01'left) = 'X') or (R01(R01'left) = 'X')) then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
return not(SIGNED_EQUAL(RESIZE(L01, SIZE), RESIZE(R01, SIZE)));
end function "/=";
-- Id: C.33
function "/=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_UNSIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if UNSIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not(UNSIGNED_EQUAL(TO_UNSIGNED(L, R01'length), R01));
end function "/=";
-- Id: C.34
function "/=" (L : INTEGER; R : UNRESOLVED_SIGNED) return BOOLEAN is
constant R_LEFT : INTEGER := R'length-1;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
variable R01 : UNRESOLVED_SIGNED(R_LEFT downto 0);
begin
if (R'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
R01 := TO_01(XR, 'X');
if (R01(R01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if SIGNED_NUM_BITS(L) > R'length then return true;
end if;
return not(SIGNED_EQUAL(TO_SIGNED(L, R01'length), R01));
end function "/=";
-- Id: C.35
function "/=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_UNSIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if UNSIGNED_NUM_BITS(R) > L'length then return true;
end if;
return not(UNSIGNED_EQUAL(L01, TO_UNSIGNED(R, L01'length)));
end function "/=";
-- Id: C.36
function "/=" (L : UNRESOLVED_SIGNED; R : INTEGER) return BOOLEAN is
constant L_LEFT : INTEGER := L'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
variable L01 : UNRESOLVED_SIGNED(L_LEFT downto 0);
begin
if (L'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.""/="": null argument detected, returning TRUE"
severity warning;
return true;
end if;
L01 := TO_01(XL, 'X');
if (L01(L01'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.""/="": metavalue detected, returning TRUE"
severity warning;
return true;
end if;
if SIGNED_NUM_BITS(R) > L'length then return true;
end if;
return not(SIGNED_EQUAL(L01, TO_SIGNED(R, L01'length)));
end function "/=";
-- ============================================================================
-- Id: C.37
function MINIMUM (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if UNSIGNED_LESS(L01, R01) then
return L01;
else
return R01;
end if;
end function MINIMUM;
-- Id: C.38
function MINIMUM (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if SIGNED_LESS(L01, R01) then
return L01;
else
return R01;
end if;
end function MINIMUM;
-- Id: C.39
function MINIMUM (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return MINIMUM(TO_UNSIGNED(L, R'length), R);
end function MINIMUM;
-- Id: C.40
function MINIMUM (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return MINIMUM(TO_SIGNED(L, R'length), R);
end function MINIMUM;
-- Id: C.41
function MINIMUM (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return MINIMUM(L, TO_UNSIGNED(R, L'length));
end function MINIMUM;
-- Id: C.42
function MINIMUM (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return MINIMUM(L, TO_SIGNED(R, L'length));
end function MINIMUM;
-- ============================================================================
-- Id: C.43
function MAXIMUM (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAU;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if UNSIGNED_LESS(L01, R01) then
return R01;
else
return L01;
end if;
end function MAXIMUM;
-- Id: C.44
function MAXIMUM (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable L01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable R01 : UNRESOLVED_SIGNED(SIZE-1 downto 0);
begin
if ((L'length < 1) or (R'length < 1)) then return NAS;
end if;
L01 := TO_01(RESIZE(L, SIZE), 'X');
if (L01(L01'left) = 'X') then return L01;
end if;
R01 := TO_01(RESIZE(R, SIZE), 'X');
if (R01(R01'left) = 'X') then return R01;
end if;
if SIGNED_LESS(L01, R01) then
return R01;
else
return L01;
end if;
end function MAXIMUM;
-- Id: C.45
function MAXIMUM (L : NATURAL; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return MAXIMUM(TO_UNSIGNED(L, R'length), R);
end function MAXIMUM;
-- Id: C.46
function MAXIMUM (L : INTEGER; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return MAXIMUM(TO_SIGNED(L, R'length), R);
end function MAXIMUM;
-- Id: C.47
function MAXIMUM (L : UNRESOLVED_UNSIGNED; R : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
return MAXIMUM(L, TO_UNSIGNED(R, L'length));
end function MAXIMUM;
-- Id: C.48
function MAXIMUM (L : UNRESOLVED_SIGNED; R : INTEGER)
return UNRESOLVED_SIGNED is
begin
return MAXIMUM(L, TO_SIGNED(R, L'length));
end function MAXIMUM;
-- ============================================================================
-- Id: C.49
function "?>" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L > R then
return '1';
else
return '0';
end if;
end if;
end function "?>";
-- Id: C.50
function "?>" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L > R then
return '1';
else
return '0';
end if;
end if;
end function "?>";
-- Id: C.51
function "?>" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?> R;
end function "?>";
-- Id: C.52
function "?>" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?> R;
end function "?>";
-- Id: C.53
function "?>" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?> TO_UNSIGNED(R, L'length);
end function "?>";
-- Id: C.54
function "?>" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?> TO_SIGNED(R, L'length);
end function "?>";
-- ============================================================================
-- Id: C.55
function "?<" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L < R then
return '1';
else
return '0';
end if;
end if;
end function "?<";
-- Id: C.56
function "?<" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<"": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<"": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L < R then
return '1';
else
return '0';
end if;
end if;
end function "?<";
-- Id: C.57
function "?<" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?< R;
end function "?<";
-- Id: C.58
function "?<" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?< R;
end function "?<";
-- Id: C.59
function "?<" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?< TO_UNSIGNED(R, L'length);
end function "?<";
-- Id: C.60
function "?<" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?< TO_SIGNED(R, L'length);
end function "?<";
-- ============================================================================
-- Id: C.61
function "?<=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L <= R then
return '1';
else
return '0';
end if;
end if;
end function "?<=";
-- Id: C.62
function "?<=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?<="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?<="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L <= R then
return '1';
else
return '0';
end if;
end if;
end function "?<=";
-- Id: C.63
function "?<=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?<= R;
end function "?<=";
-- Id: C.64
function "?<=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?<= R;
end function "?<=";
-- Id: C.65
function "?<=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?<= TO_UNSIGNED(R, L'length);
end function "?<=";
-- Id: C.66
function "?<=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?<= TO_SIGNED(R, L'length);
end function "?<=";
-- ============================================================================
-- Id: C.67
function "?>=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L >= R then
return '1';
else
return '0';
end if;
end if;
end function "?>=";
-- Id: C.68
function "?>=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?>="": null detected, returning X"
severity warning;
return 'X';
else
for i in L'range loop
if L(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
for i in R'range loop
if R(i) = '-' then
report "NUMERIC_STD.""?>="": '-' found in compare string"
severity error;
return 'X';
end if;
end loop;
if Is_X(L) or Is_X(R) then
return 'X';
elsif L >= R then
return '1';
else
return '0';
end if;
end if;
end function "?>=";
-- Id: C.69
function "?>=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?>= R;
end function "?>=";
-- Id: C.70
function "?>=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?>= R;
end function "?>=";
-- Id: C.71
function "?>=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?>= TO_UNSIGNED(R, L'length);
end function "?>=";
-- Id: C.72
function "?>=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?>= TO_SIGNED(R, L'length);
end function "?>=";
-- ============================================================================
-- Id: C.73
function "?=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin
-- Logically identical to an "=" operator.
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '1';
for i in LX'low to LX'high loop
result1 := LX(i) ?= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result and result1;
end if;
end loop;
return result;
end if;
end function "?=";
-- Id: C.74
function "?=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '1';
for i in LX'low to LX'high loop
result1 := LX(i) ?= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result and result1;
end if;
end loop;
return result;
end if;
end function "?=";
-- Id: C.75
function "?=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?= R;
end function "?=";
-- Id: C.76
function "?=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?= R;
end function "?=";
-- Id: C.77
function "?=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?= TO_UNSIGNED(R, L'length);
end function "?=";
-- Id: C.78
function "?=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?= TO_SIGNED(R, L'length);
end function "?=";
-- ============================================================================
-- Id: C.79
function "?/=" (L, R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_UNSIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_UNSIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?/="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '0';
for i in LX'low to LX'high loop
result1 := LX(i) ?/= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result or result1;
end if;
end loop;
return result;
end if;
end function "?/=";
-- Id: C.80
function "?/=" (L, R : UNRESOLVED_SIGNED) return STD_ULOGIC is
constant L_LEFT : INTEGER := L'length-1;
constant R_LEFT : INTEGER := R'length-1;
alias XL : UNRESOLVED_SIGNED(L_LEFT downto 0) is L;
alias XR : UNRESOLVED_SIGNED(R_LEFT downto 0) is R;
constant SIZE : NATURAL := MAXIMUM(L'length, R'length);
variable LX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable RX : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable result, result1 : STD_ULOGIC; -- result
begin -- ?=
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.""?/="": null detected, returning X"
severity warning;
return 'X';
else
LX := RESIZE(XL, SIZE);
RX := RESIZE(XR, SIZE);
result := '0';
for i in LX'low to LX'high loop
result1 := LX(i) ?/= RX(i);
if result1 = 'U' then
return 'U';
elsif result1 = 'X' or result = 'X' then
result := 'X';
else
result := result or result1;
end if;
end loop;
return result;
end if;
end function "?/=";
-- Id: C.81
function "?/=" (L : NATURAL; R : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return TO_UNSIGNED(L, R'length) ?/= R;
end function "?/=";
-- Id: C.82
function "?/=" (L : INTEGER; R : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return TO_SIGNED(L, R'length) ?/= R;
end function "?/=";
-- Id: C.83
function "?/=" (L : UNRESOLVED_UNSIGNED; R : NATURAL) return STD_ULOGIC is
begin
return L ?/= TO_UNSIGNED(R, L'length);
end function "?/=";
-- Id: C.84
function "?/=" (L : UNRESOLVED_SIGNED; R : INTEGER) return STD_ULOGIC is
begin
return L ?/= TO_SIGNED(R, L'length);
end function "?/=";
-- ============================================================================
-- Id: S.1
function SHIFT_LEFT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XSLL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_LEFT;
-- Id: S.2
function SHIFT_RIGHT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XSRL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_RIGHT;
-- Id: S.3
function SHIFT_LEFT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XSLL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_LEFT;
-- Id: S.4
function SHIFT_RIGHT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XSRA(STD_ULOGIC_VECTOR(ARG), COUNT));
end function SHIFT_RIGHT;
-- ============================================================================
-- Id: S.5
function ROTATE_LEFT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XROL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_LEFT;
-- Id: S.6
function ROTATE_RIGHT (ARG : UNRESOLVED_UNSIGNED; COUNT : NATURAL)
return UNRESOLVED_UNSIGNED is
begin
if (ARG'length < 1) then return NAU;
end if;
return UNRESOLVED_UNSIGNED(XROR(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_RIGHT;
-- Id: S.7
function ROTATE_LEFT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XROL(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_LEFT;
-- Id: S.8
function ROTATE_RIGHT (ARG : UNRESOLVED_SIGNED; COUNT : NATURAL)
return UNRESOLVED_SIGNED is
begin
if (ARG'length < 1) then return NAS;
end if;
return UNRESOLVED_SIGNED(XROR(STD_ULOGIC_VECTOR(ARG), COUNT));
end function ROTATE_RIGHT;
-- ============================================================================
------------------------------------------------------------------------------
-- Note: Function S.9 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.9
function "sll" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sll";
------------------------------------------------------------------------------
-- Note: Function S.10 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.10
function "sll" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return UNRESOLVED_SIGNED(SHIFT_RIGHT(UNRESOLVED_UNSIGNED(ARG), -COUNT));
end if;
end function "sll";
------------------------------------------------------------------------------
-- Note: Function S.11 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.11
function "srl" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "srl";
------------------------------------------------------------------------------
-- Note: Function S.12 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.12
function "srl" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return UNRESOLVED_SIGNED(SHIFT_RIGHT(UNRESOLVED_UNSIGNED(ARG), COUNT));
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "srl";
------------------------------------------------------------------------------
-- Note: Function S.13 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.13
function "rol" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return ROTATE_LEFT(ARG, COUNT);
else
return ROTATE_RIGHT(ARG, -COUNT);
end if;
end function "rol";
------------------------------------------------------------------------------
-- Note: Function S.14 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.14
function "rol" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return ROTATE_LEFT(ARG, COUNT);
else
return ROTATE_RIGHT(ARG, -COUNT);
end if;
end function "rol";
------------------------------------------------------------------------------
-- Note: Function S.15 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.15
function "ror" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return ROTATE_RIGHT(ARG, COUNT);
else
return ROTATE_LEFT(ARG, -COUNT);
end if;
end function "ror";
------------------------------------------------------------------------------
-- Note: Function S.16 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.16
function "ror" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return ROTATE_RIGHT(ARG, COUNT);
else
return ROTATE_LEFT(ARG, -COUNT);
end if;
end function "ror";
------------------------------------------------------------------------------
-- Note: Function S.17 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.17
function "sla" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sla";
------------------------------------------------------------------------------
-- Note: Function S.18 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.18
function "sla" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_LEFT(ARG, COUNT);
else
return SHIFT_RIGHT(ARG, -COUNT);
end if;
end function "sla";
------------------------------------------------------------------------------
-- Note: Function S.19 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.19
function "sra" (ARG : UNRESOLVED_UNSIGNED; COUNT : INTEGER)
return UNRESOLVED_UNSIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "sra";
------------------------------------------------------------------------------
-- Note: Function S.20 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: S.20
function "sra" (ARG : UNRESOLVED_SIGNED; COUNT : INTEGER)
return UNRESOLVED_SIGNED is
begin
if (COUNT >= 0) then
return SHIFT_RIGHT(ARG, COUNT);
else
return SHIFT_LEFT(ARG, -COUNT);
end if;
end function "sra";
-- ============================================================================
-- Id: D.1
function TO_INTEGER (ARG : UNRESOLVED_UNSIGNED) return NATURAL is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XXARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0) is ARG;
variable XARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0);
variable RESULT : NATURAL := 0;
begin
if (ARG'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: null detected, returning 0"
severity warning;
return 0;
end if;
XARG := TO_01(XXARG, 'X');
if (XARG(XARG'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: metavalue detected, returning 0"
severity warning;
return 0;
end if;
for I in XARG'range loop
RESULT := RESULT+RESULT;
if XARG(I) = '1' then
RESULT := RESULT + 1;
end if;
end loop;
return RESULT;
end function TO_INTEGER;
-- Id: D.2
function TO_INTEGER (ARG : UNRESOLVED_SIGNED) return INTEGER is
variable XARG : UNRESOLVED_SIGNED(ARG'length-1 downto 0);
begin
if (ARG'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: null detected, returning 0"
severity warning;
return 0;
end if;
XARG := TO_01(ARG, 'X');
if (XARG(XARG'left) = 'X') then
assert NO_WARNING
report "NUMERIC_STD.TO_INTEGER: metavalue detected, returning 0"
severity warning;
return 0;
end if;
if XARG(XARG'left) = '0' then
return TO_INTEGER(UNRESOLVED_UNSIGNED(XARG));
else
return (- (TO_INTEGER(UNRESOLVED_UNSIGNED(- (XARG + 1)))) -1);
end if;
end function TO_INTEGER;
-- Id: D.3
function TO_UNSIGNED (ARG, SIZE : NATURAL) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(SIZE-1 downto 0);
variable I_VAL : NATURAL := ARG;
begin
if (SIZE < 1) then return NAU;
end if;
for I in 0 to RESULT'left loop
if (I_VAL mod 2) = 0 then
RESULT(I) := '0';
else RESULT(I) := '1';
end if;
I_VAL := I_VAL/2;
end loop;
if not(I_VAL = 0) then
assert NO_WARNING
report "NUMERIC_STD.TO_UNSIGNED: vector truncated"
severity warning;
end if;
return RESULT;
end function TO_UNSIGNED;
-- Id: D.4
function TO_SIGNED (ARG : INTEGER; SIZE : NATURAL) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(SIZE-1 downto 0);
variable B_VAL : STD_LOGIC := '0';
variable I_VAL : INTEGER := ARG;
begin
if (SIZE < 1) then return NAS;
end if;
if (ARG < 0) then
B_VAL := '1';
I_VAL := -(ARG+1);
end if;
for I in 0 to RESULT'left loop
if (I_VAL mod 2) = 0 then
RESULT(I) := B_VAL;
else
RESULT(I) := not B_VAL;
end if;
I_VAL := I_VAL/2;
end loop;
if ((I_VAL /= 0) or (B_VAL /= RESULT(RESULT'left))) then
assert NO_WARNING
report "NUMERIC_STD.TO_SIGNED: vector truncated"
severity warning;
end if;
return RESULT;
end function TO_SIGNED;
function TO_UNSIGNED (ARG : NATURAL; SIZE_RES : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return TO_UNSIGNED (ARG => ARG,
SIZE => SIZE_RES'length);
end function TO_UNSIGNED;
function TO_SIGNED (ARG : INTEGER; SIZE_RES : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return TO_SIGNED (ARG => ARG,
SIZE => SIZE_RES'length);
end function TO_SIGNED;
-- ============================================================================
-- Id: R.1
function RESIZE (ARG : UNRESOLVED_SIGNED; NEW_SIZE : NATURAL)
return UNRESOLVED_SIGNED
is
alias INVEC : UNRESOLVED_SIGNED(ARG'length-1 downto 0) is ARG;
variable RESULT : UNRESOLVED_SIGNED(NEW_SIZE-1 downto 0) :=
(others => '0');
constant BOUND : INTEGER := MINIMUM(ARG'length, RESULT'length)-2;
begin
if (NEW_SIZE < 1) then return NAS;
end if;
if (ARG'length = 0) then return RESULT;
end if;
RESULT := (others => ARG(ARG'left));
if BOUND >= 0 then
RESULT(BOUND downto 0) := INVEC(BOUND downto 0);
end if;
return RESULT;
end function RESIZE;
-- Id: R.2
function RESIZE (ARG : UNRESOLVED_UNSIGNED; NEW_SIZE : NATURAL)
return UNRESOLVED_UNSIGNED
is
constant ARG_LEFT : INTEGER := ARG'length-1;
alias XARG : UNRESOLVED_UNSIGNED(ARG_LEFT downto 0) is ARG;
variable RESULT : UNRESOLVED_UNSIGNED(NEW_SIZE-1 downto 0) :=
(others => '0');
begin
if (NEW_SIZE < 1) then return NAU;
end if;
if XARG'length = 0 then return RESULT;
end if;
if (RESULT'length < ARG'length) then
RESULT(RESULT'left downto 0) := XARG(RESULT'left downto 0);
else
RESULT(RESULT'left downto XARG'left+1) := (others => '0');
RESULT(XARG'left downto 0) := XARG;
end if;
return RESULT;
end function RESIZE;
function RESIZE (ARG, SIZE_RES : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return RESIZE (ARG => ARG,
NEW_SIZE => SIZE_RES'length);
end function RESIZE;
function RESIZE (ARG, SIZE_RES : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return RESIZE (ARG => ARG,
NEW_SIZE => SIZE_RES'length);
end function RESIZE;
-- ============================================================================
-- Id: L.1
function "not" (L : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(not(STD_ULOGIC_VECTOR(L)));
return RESULT;
end function "not";
-- Id: L.2
function "and" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) and
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "and";
-- Id: L.3
function "or" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) or
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "or";
-- Id: L.4
function "nand" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) nand
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nand";
-- Id: L.5
function "nor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) nor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nor";
-- Id: L.6
function "xor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) xor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.7 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.7
function "xnor" (L, R : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
variable RESULT : UNRESOLVED_UNSIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_UNSIGNED(STD_ULOGIC_VECTOR(L) xnor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xnor";
-- Id: L.8
function "not" (L : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(not(STD_ULOGIC_VECTOR(L)));
return RESULT;
end function "not";
-- Id: L.9
function "and" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) and STD_ULOGIC_VECTOR(R));
return RESULT;
end function "and";
-- Id: L.10
function "or" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) or STD_ULOGIC_VECTOR(R));
return RESULT;
end function "or";
-- Id: L.11
function "nand" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) nand
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nand";
-- Id: L.12
function "nor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) nor STD_ULOGIC_VECTOR(R));
return RESULT;
end function "nor";
-- Id: L.13
function "xor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) xor STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.14 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.14
function "xnor" (L, R : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
variable RESULT : UNRESOLVED_SIGNED(L'length-1 downto 0);
begin
RESULT := UNRESOLVED_SIGNED(STD_ULOGIC_VECTOR(L) xnor
STD_ULOGIC_VECTOR(R));
return RESULT;
end function "xnor";
-- Id: L.15
function "and" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L and STD_ULOGIC_VECTOR(R));
end function "and";
-- Id: L.16
function "and" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) and R);
end function "and";
-- Id: L.17
function "or" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L or STD_ULOGIC_VECTOR(R));
end function "or";
-- Id: L.18
function "or" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) or R);
end function "or";
-- Id: L.19
function "nand" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L nand STD_ULOGIC_VECTOR(R));
end function "nand";
-- Id: L.20
function "nand" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) nand R);
end function "nand";
-- Id: L.21
function "nor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L nor STD_ULOGIC_VECTOR(R));
end function "nor";
-- Id: L.22
function "nor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) nor R);
end function "nor";
-- Id: L.23
function "xor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L xor STD_ULOGIC_VECTOR(R));
end function "xor";
-- Id: L.24
function "xor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) xor R);
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.25 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.25
function "xnor" (L : STD_ULOGIC; R : UNRESOLVED_UNSIGNED)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (L xnor STD_ULOGIC_VECTOR(R));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.26 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.26
function "xnor" (L : UNRESOLVED_UNSIGNED; R : STD_ULOGIC)
return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED (STD_ULOGIC_VECTOR(L) xnor R);
end function "xnor";
-- Id: L.27
function "and" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L and STD_ULOGIC_VECTOR(R));
end function "and";
-- Id: L.28
function "and" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) and R);
end function "and";
-- Id: L.29
function "or" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L or STD_ULOGIC_VECTOR(R));
end function "or";
-- Id: L.30
function "or" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) or R);
end function "or";
-- Id: L.31
function "nand" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L nand STD_ULOGIC_VECTOR(R));
end function "nand";
-- Id: L.32
function "nand" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) nand R);
end function "nand";
-- Id: L.33
function "nor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L nor STD_ULOGIC_VECTOR(R));
end function "nor";
-- Id: L.34
function "nor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) nor R);
end function "nor";
-- Id: L.35
function "xor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L xor STD_ULOGIC_VECTOR(R));
end function "xor";
-- Id: L.36
function "xor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) xor R);
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.37 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.37
function "xnor" (L : STD_ULOGIC; R : UNRESOLVED_SIGNED)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (L xnor STD_ULOGIC_VECTOR(R));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.38 is not compatible with IEEE Std 1076-1987. Comment
-- out the function (declaration and body) for IEEE Std 1076-1987 compatibility.
------------------------------------------------------------------------------
-- Id: L.38
function "xnor" (L : UNRESOLVED_SIGNED; R : STD_ULOGIC)
return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED (STD_ULOGIC_VECTOR(L) xnor R);
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.39 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.39
function "and" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return and (STD_ULOGIC_VECTOR (L));
end function "and";
------------------------------------------------------------------------------
-- Note: Function L.40 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.40
function "and" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return and (STD_ULOGIC_VECTOR (L));
end function "and";
------------------------------------------------------------------------------
-- Note: Function L.41 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.41
function "nand" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return nand (STD_ULOGIC_VECTOR (L));
end function "nand";
------------------------------------------------------------------------------
-- Note: Function L.42 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.42
function "nand" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return nand (STD_ULOGIC_VECTOR (L));
end function "nand";
------------------------------------------------------------------------------
-- Note: Function L.43 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.43
function "or" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return or (STD_ULOGIC_VECTOR (L));
end function "or";
------------------------------------------------------------------------------
-- Note: Function L.44 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.44
function "or" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return or (STD_ULOGIC_VECTOR (L));
end function "or";
------------------------------------------------------------------------------
-- Note: Function L.45 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.45
function "nor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return nor (STD_ULOGIC_VECTOR (L));
end function "nor";
------------------------------------------------------------------------------
-- Note: Function L.46 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.46
function "nor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return nor (STD_ULOGIC_VECTOR (L));
end function "nor";
------------------------------------------------------------------------------
-- Note: Function L.47 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.47
function "xor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return xor (STD_ULOGIC_VECTOR (L));
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.48 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.48
function "xor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return xor (STD_ULOGIC_VECTOR (L));
end function "xor";
------------------------------------------------------------------------------
-- Note: Function L.49 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.49
function "xnor" (L : UNRESOLVED_SIGNED) return STD_ULOGIC is
begin
return xnor (STD_ULOGIC_VECTOR (L));
end function "xnor";
------------------------------------------------------------------------------
-- Note: Function L.50 is not compatible with editions of IEEE Std 1076 from
-- 1987 through 2002. Comment out the function (declaration and body) for
-- compatibility with these editions.
------------------------------------------------------------------------------
-- Id: L.50
function "xnor" (L : UNRESOLVED_UNSIGNED) return STD_ULOGIC is
begin
return xnor (STD_ULOGIC_VECTOR (L));
end function "xnor";
-- ============================================================================
-- support constants for STD_MATCH:
type BOOLEAN_TABLE is array(STD_ULOGIC, STD_ULOGIC) of BOOLEAN;
constant MATCH_TABLE : BOOLEAN_TABLE := (
--------------------------------------------------------------------------
-- U X 0 1 Z W L H -
--------------------------------------------------------------------------
(false, false, false, false, false, false, false, false, true), -- | U |
(false, false, false, false, false, false, false, false, true), -- | X |
(false, false, true, false, false, false, true, false, true), -- | 0 |
(false, false, false, true, false, false, false, true, true), -- | 1 |
(false, false, false, false, false, false, false, false, true), -- | Z |
(false, false, false, false, false, false, false, false, true), -- | W |
(false, false, true, false, false, false, true, false, true), -- | L |
(false, false, false, true, false, false, false, true, true), -- | H |
(true, true, true, true, true, true, true, true, true) -- | - |
);
-- Id: M.1
function STD_MATCH (L, R : STD_ULOGIC) return BOOLEAN is
variable VALUE : STD_ULOGIC;
begin
return MATCH_TABLE(L, R);
end function STD_MATCH;
-- Id: M.2
function STD_MATCH (L, R : UNRESOLVED_UNSIGNED) return BOOLEAN is
alias LV : UNRESOLVED_UNSIGNED(1 to L'length) is L;
alias RV : UNRESOLVED_UNSIGNED(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- Id: M.3
function STD_MATCH (L, R : UNRESOLVED_SIGNED) return BOOLEAN is
alias LV : UNRESOLVED_SIGNED(1 to L'length) is L;
alias RV : UNRESOLVED_SIGNED(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- Id: M.5
function STD_MATCH (L, R : STD_ULOGIC_VECTOR) return BOOLEAN is
alias LV : STD_ULOGIC_VECTOR(1 to L'length) is L;
alias RV : STD_ULOGIC_VECTOR(1 to R'length) is R;
begin
if ((L'length < 1) or (R'length < 1)) then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: null detected, returning FALSE"
severity warning;
return false;
end if;
if LV'length /= RV'length then
assert NO_WARNING
report "NUMERIC_STD.STD_MATCH: L'LENGTH /= R'LENGTH, returning FALSE"
severity warning;
return false;
else
for I in LV'low to LV'high loop
if not (MATCH_TABLE(LV(I), RV(I))) then
return false;
end if;
end loop;
return true;
end if;
end function STD_MATCH;
-- ============================================================================
-- function TO_01 is used to convert vectors to the
-- correct form for exported functions,
-- and to report if there is an element which
-- is not in (0, 1, H, L).
-- Id: T.1
function TO_01 (S : UNRESOLVED_UNSIGNED; XMAP : STD_ULOGIC := '0')
return UNRESOLVED_UNSIGNED is
begin
if (S'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_01: null detected, returning NAU"
severity warning;
return NAU;
end if;
return UNRESOLVED_UNSIGNED(TO_01(STD_ULOGIC_VECTOR(S), XMAP));
end function TO_01;
-- Id: T.2
function TO_01 (S : UNRESOLVED_SIGNED; XMAP : STD_ULOGIC := '0')
return UNRESOLVED_SIGNED is
begin
if (S'length < 1) then
assert NO_WARNING
report "NUMERIC_STD.TO_01: null detected, returning NAS"
severity warning;
return NAS;
end if;
return UNRESOLVED_SIGNED(TO_01(STD_ULOGIC_VECTOR(S), XMAP));
end function TO_01;
-- Id: T.3
function TO_X01 (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_X01(STD_ULOGIC_VECTOR(S)));
end function TO_X01;
-- Id: T.4
function TO_X01 (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_X01(STD_ULOGIC_VECTOR(S)));
end function TO_X01;
-- Id: T.5
function TO_X01Z (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_X01Z(STD_ULOGIC_VECTOR(S)));
end function TO_X01Z;
-- Id: T.6
function TO_X01Z (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_X01Z(STD_ULOGIC_VECTOR(S)));
end function TO_X01Z;
-- Id: T.7
function TO_UX01 (S : UNRESOLVED_UNSIGNED) return UNRESOLVED_UNSIGNED is
begin
return UNRESOLVED_UNSIGNED(TO_UX01(STD_ULOGIC_VECTOR(S)));
end function TO_UX01;
-- Id: T.8
function TO_UX01 (S : UNRESOLVED_SIGNED) return UNRESOLVED_SIGNED is
begin
return UNRESOLVED_SIGNED(TO_UX01(STD_ULOGIC_VECTOR(S)));
end function TO_UX01;
-- Id: T.9
function IS_X (S : UNRESOLVED_UNSIGNED) return BOOLEAN is
begin
return IS_X(STD_ULOGIC_VECTOR(S));
end function IS_X;
-- Id: T.10
function IS_X (S : UNRESOLVED_SIGNED) return BOOLEAN is
begin
return IS_X(STD_ULOGIC_VECTOR(S));
end function IS_X;
-- ============================================================================
-- string conversion and write operations
-- ============================================================================
function to_ostring (value : UNRESOLVED_UNSIGNED) return STRING is
begin
return to_ostring(STD_ULOGIC_VECTOR (value));
end function to_ostring;
function to_ostring (value : UNRESOLVED_SIGNED) return STRING is
constant result_length : INTEGER := (value'length+2)/3;
constant pad : STD_ULOGIC_VECTOR(1 to (result_length*3 -
value'length))
:= (others => value (value'left)); -- Extend sign bit
begin
return to_ostring(pad & STD_ULOGIC_VECTOR (value));
end function to_ostring;
function to_hstring (value : UNRESOLVED_UNSIGNED) return STRING is
begin
return to_hstring(STD_ULOGIC_VECTOR (value));
end function to_hstring;
function to_hstring (value : UNRESOLVED_SIGNED) return STRING is
constant result_length : INTEGER := (value'length+3)/4;
constant pad : STD_ULOGIC_VECTOR(1 to (result_length*4 -
value'length))
:= (others => value (value'left)); -- Extend sign bit
begin
return to_hstring(pad & STD_ULOGIC_VECTOR (value));
end function to_hstring;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := SIGNED(ivalue);
end procedure READ;
procedure READ (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
READ (L => L,
VALUE => ivalue);
VALUE := SIGNED (ivalue);
end procedure READ;
procedure WRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
WRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure WRITE;
procedure WRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
WRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure WRITE;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
OREAD (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
constant ne : INTEGER := (value'length+2)/3;
constant pad : INTEGER := ne*3 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*3-1);
variable ok : BOOLEAN;
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
OREAD (L => L,
VALUE => ivalue, -- Read padded STRING
GOOD => ok);
-- Bail out if there was a bad read
if not ok then
GOOD := false;
return;
end if;
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
GOOD := false;
else
GOOD := true;
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
OREAD (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure OREAD;
procedure OREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
constant ne : INTEGER := (value'length+2)/3;
constant pad : INTEGER := ne*3 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*3-1);
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
OREAD (L => L,
VALUE => ivalue); -- Read padded string
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
assert false
report "NUMERIC_STD.OREAD Error: Signed vector truncated"
severity error;
else
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure OREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED;
GOOD : out BOOLEAN) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
HREAD (L => L,
VALUE => ivalue,
GOOD => GOOD);
VALUE := UNSIGNED(ivalue);
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED;
GOOD : out BOOLEAN) is
constant ne : INTEGER := (value'length+3)/4;
constant pad : INTEGER := ne*4 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*4-1);
variable ok : BOOLEAN;
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
HREAD (L => L,
VALUE => ivalue, -- Read padded STRING
GOOD => ok);
if not ok then
GOOD := false;
return;
end if;
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
GOOD := false;
else
GOOD := true;
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_UNSIGNED) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
HREAD (L => L,
VALUE => ivalue);
VALUE := UNSIGNED (ivalue);
end procedure HREAD;
procedure HREAD (L : inout LINE; VALUE : out UNRESOLVED_SIGNED) is
constant ne : INTEGER := (value'length+3)/4;
constant pad : INTEGER := ne*4 - value'length;
variable ivalue : STD_ULOGIC_VECTOR(0 to ne*4-1);
variable expected_padding : STD_ULOGIC_VECTOR(0 to pad-1);
begin
HREAD (L => L,
VALUE => ivalue); -- Read padded string
expected_padding := (others => ivalue(pad));
if ivalue(0 to pad-1) /= expected_padding then
assert false
report "NUMERIC_STD.HREAD Error: Signed vector truncated"
severity error;
else
VALUE := UNRESOLVED_SIGNED (ivalue (pad to ivalue'high));
end if;
end procedure HREAD;
procedure OWRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
OWRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure OWRITE;
procedure OWRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
constant ne : INTEGER := (VALUE'length+2)/3;
constant pad : STD_ULOGIC_VECTOR(0 to (ne*3 - VALUE'length) - 1)
:= (others => VALUE (VALUE'left));
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
OWRITE (L => L,
VALUE => pad & ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure OWRITE;
procedure HWRITE (L : inout LINE; VALUE : in UNRESOLVED_UNSIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
HWRITE (L => L,
VALUE => ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure HWRITE;
procedure HWRITE (L : inout LINE; VALUE : in UNRESOLVED_SIGNED;
JUSTIFIED : in SIDE := right; FIELD : in WIDTH := 0) is
variable ivalue : STD_ULOGIC_VECTOR(value'range);
constant ne : INTEGER := (value'length+3)/4;
constant pad : STD_ULOGIC_VECTOR(0 to (ne*4 - value'length) - 1)
:= (others => VALUE(VALUE'left));
begin
ivalue := STD_ULOGIC_VECTOR (VALUE);
HWRITE (L => L,
VALUE => pad & ivalue,
JUSTIFIED => JUSTIFIED,
FIELD => FIELD);
end procedure HWRITE;
end package body NUMERIC_STD;
|
library ieee;
use ieee.std_logic_1164.all;
entity FA_tb is
end FA_tb;
architecture tb of FA_tb is
component FA is
port( A, B, Cin : in std_logic;
Sout, Cout : out std_logic);
end component;
signal A, B, Cin, Sout, Cout : std_logic;
begin
mapping: FA port map(A, B, Cin, Sout, Cout);
--concurrent processes
process
begin
Cin <= '0'; wait for 5 ns;
Cin <= '1'; wait for 5 ns;
end process;
process
variable errCnt : integer := 0;
begin
--TEST 1
A <= '0';
B <= '1';
wait for 10 ns;
assert(Sout = '0') report "Sout error 1" severity error;
assert(Cout = '1') report "Cout error 1" severity error;
if(Sout /= '1' or Cout /= '0') then
errCnt := errCnt + 1;
end if;
--TEST 2
A <= '1';
B <= '1';
wait for 10 ns;
assert(Sout = '1') report "Sout error 2" severity error;
assert(Cout = '1') report "Cout error 2" severity error;
if(Sout /= '0' or Cout /= '1') then
errCnt := errCnt + 1;
end if;
--TEST 3
A <= '1';
B <= '0';
wait for 10 ns;
assert(Sout = '0') report "Sout error 3" severity error;
assert(Cout = '1') report "Cout error 3" severity error;
if(Sout /= '1' or Cout /= '0') then
errCnt := errCnt + 1;
end if;
---- SoutMARY ----
if(errCnt = 0) then
assert false report "Success!" severity note;
else
assert false report "Faillure!" severity note;
end if;
end process;
end tb;
-------------------------------------------------------------
configuration cfg_tb of FA_tb is
for tb
end for;
end cfg_tb;
----------------------------------------------------------END
----------------------------------------------------------END |
-- Copyright (c) University of Florida
--
-- This file is part of window_gen.
--
-- window_gen 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.
--
-- window_gen 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 window_gen. If not, see <http://www.gnu.org/licenses/>.
-- Greg Stitt
-- University of Florida
-- Description: This entity maintains the FIFO pointers for a
-- an array of FIFOs in the window buffer. The front pointer always
-- points to the FIFO that stores the top row of window pixels, while the back
-- pointer always points to the FIFO with the bottom row. Every time the window
-- slides down one row these pointers are updated to ensure correct windows.
--
-- This entity tracks the number of times that a current row has been read in
-- order to determine when the window has reached the end of a row, which
-- determines when the pointers should be updated. The entity also determines
-- when the current reads represent the start (left edge_ of a window (is_edge).
-- For example, the generator only produces fully immersed windows, so pixels
-- towards the end of a will never form the left edge of a window.
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
use IEEE.math_real.all;
use work.math_custom.all;
-------------------------------------------------------------------------------
-- Generics Description
-- PARALLEL_IO : Specifies the number of inputs and outputs provided at a time,
-- DATA_WIDTH : The width in bits of each element.
-- MAX_WINDOW_ROWS : The maximum number of rows in a generated window
-- MAX_IMAGE_COLS : The maximum number of cols in an input image/stream
-- MAX_BUFFER_SIZE : The maximum size/words of each FIFO
-------------------------------------------------------------------------------
-------------------------------------------------------------------------------
-- Port Descriptions (all control signals are active high)
-- clk: clock
-- rst: asynchronous reset
-- en : '1' to enable
-- edge : pointer to a FIFO
-- changed : asserted when the edge changes
-- is_window_edge : '1' if the current pointer value is the edge of a window.
-- One bit for each PARALLEL_IO element, which the first at
-- the MSB and the last at the LSB.
-- buffer_size : The actual size of the FIFO buffers
-- window_per_row : The number of windows generated from each image row
-------------------------------------------------------------------------------
entity wg_fifo_edge_control is
generic (
PARALLEL_IO : positive;
MAX_BUFFER_SIZE : positive;
MAX_WINDOW_ROWS : positive;
MAX_IMAGE_COLS : positive);
port (
clk : in std_logic;
rst : in std_logic;
en : in std_logic;
edge : out unsigned(bitsNeeded(MAX_WINDOW_ROWS-1)-1 downto 0);
changed : out std_logic;
is_window_edge : out std_logic_vector(PARALLEL_IO-1 downto 0);
buffer_size : in std_logic_vector(bitsNeeded(MAX_BUFFER_SIZE)-1 downto 0);
windows_per_row : in std_logic_vector(bitsNeeded(MAX_IMAGE_COLS)-1 downto 0));
end wg_fifo_edge_control;
architecture BHV of wg_fifo_edge_control is
signal count, next_count : integer range 0 to MAX_BUFFER_SIZE;
signal addr, next_addr : unsigned(bitsNeeded(MAX_WINDOW_ROWS-1)-1 downto 0);
begin
-- registers
process(clk, rst)
begin
if (rst = '1') then
count <= 0;
addr <= (others => '0');
elsif (clk = '1' and clk'event) then
count <= next_count;
addr <= next_addr;
end if;
end process;
-- combinational logic
process(en, count, addr, buffer_size)
variable temp_count : integer range 0 to MAX_BUFFER_SIZE;
begin
-- count inputs
if (en = '1') then
temp_count := count + 1;
else
temp_count := count;
end if;
-- if at the end of a row, update the edge to point to a new fifo
if (temp_count >= unsigned(buffer_size)) then
-- addr passes last FIFO, reset to first FIFO, otherwise increment addr
if (addr = MAX_WINDOW_ROWS-1) then
next_addr <= (others => '0');
else
next_addr <= addr + 1;
end if;
-- edge changes anytime an entire row has been read
changed <= '1';
--temp_count := (others => '0');
temp_count := 0;
else
-- if still processing a row, don't change anything
changed <= '0';
next_addr <= addr;
end if;
next_count <= temp_count;
end process;
-- determine if the next PARALLEL_IO elements are the leftmost edge of a
-- generated window
process(count, windows_per_row)
begin
for i in 0 to PARALLEL_IO-1 loop
-- each count value corresponds to PARALLEL_IO elements
if (count*PARALLEL_IO+i < unsigned(windows_per_row)) then
is_window_edge(PARALLEL_IO-1-i) <= '1';
else
is_window_edge(PARALLEL_IO-1-i) <= '0';
end if;
end loop;
end process;
edge <= addr;
end BHV;
|
library verilog;
use verilog.vl_types.all;
entity \block\ is
generic(
Block_X_Min : vl_logic_vector(9 downto 0) := (Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0);
Block_X_Max : vl_logic_vector(9 downto 0) := (Hi1, Hi0, Hi0, Hi1, Hi1, Hi1, Hi1, Hi1, Hi1, Hi1);
Block_Y_Min : vl_logic_vector(9 downto 0) := (Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0);
Block_Y_Max : vl_logic_vector(9 downto 0) := (Hi0, Hi1, Hi1, Hi1, Hi0, Hi1, Hi1, Hi1, Hi1, Hi1);
Block_X_Step : vl_logic_vector(9 downto 0) := (Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi1);
Block_Y_Step : vl_logic_vector(9 downto 0) := (Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi0, Hi1)
);
port(
Reset : in vl_logic;
frame_clk : in vl_logic;
Block_X_Center : in vl_logic_vector(9 downto 0);
BlockX : out vl_logic_vector(9 downto 0);
BlockY : out vl_logic_vector(9 downto 0);
BlockS : out vl_logic_vector(9 downto 0)
);
attribute mti_svvh_generic_type : integer;
attribute mti_svvh_generic_type of Block_X_Min : constant is 2;
attribute mti_svvh_generic_type of Block_X_Max : constant is 2;
attribute mti_svvh_generic_type of Block_Y_Min : constant is 2;
attribute mti_svvh_generic_type of Block_Y_Max : constant is 2;
attribute mti_svvh_generic_type of Block_X_Step : constant is 2;
attribute mti_svvh_generic_type of Block_Y_Step : constant is 2;
end \block\;
|
--------------------------------------------------------------------------------
-- Designer: Paolo Fulgoni <pfulgoni@opencores.org>
--
-- Create Date: 02/19/2008
-- Last Update: 04/02/2008
-- Project Name: camellia-vhdl
-- Description: VHDL Test Bench for module camellia
--
-- Copyright (C) 2008 Paolo Fulgoni
-- This file is part of camellia-vhdl.
-- camellia-vhdl 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.
-- camellia-vhdl is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
-- You should have received a copy of the GNU General Public License
-- along with this program. If not, see <http://www.gnu.org/licenses/>.
--
-- The Camellia cipher algorithm is 128 bit cipher developed by NTT and
-- Mitsubishi Electric researchers.
-- http://info.isl.ntt.co.jp/crypt/eng/camellia/
--------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
entity camellia_tb is
end camellia_tb;
architecture RTL of camellia_tb is
component camellia is
port (
clk : in STD_LOGIC;
reset : in STD_LOGIC;
data_in : in STD_LOGIC_VECTOR (0 to 127);
enc_dec : in STD_LOGIC;
data_rdy : in STD_LOGIC;
data_acq : out STD_LOGIC;
key : in STD_LOGIC_VECTOR (0 to 255);
k_len : in STD_LOGIC_VECTOR (0 to 1);
key_rdy : in STD_LOGIC;
key_acq : out STD_LOGIC;
data_out : out STD_LOGIC_VECTOR (0 to 127);
output_rdy : out STD_LOGIC
);
end component;
signal clk : STD_LOGIC;
signal reset : STD_LOGIC;
signal data_in : STD_LOGIC_VECTOR (0 to 127);
signal enc_dec : STD_LOGIC;
signal data_rdy : STD_LOGIC;
signal data_acq : STD_LOGIC;
signal key : STD_LOGIC_VECTOR (0 to 255);
signal k_len : STD_LOGIC_VECTOR (0 to 1);
signal key_rdy : STD_LOGIC;
signal key_acq : STD_LOGIC;
signal data_out : STD_LOGIC_VECTOR (0 to 127);
signal output_rdy : STD_LOGIC;
-- constants
constant KLEN_128 : STD_LOGIC_VECTOR (0 to 1) := "00";
constant KLEN_192 : STD_LOGIC_VECTOR (0 to 1) := "01";
constant KLEN_256 : STD_LOGIC_VECTOR (0 to 1) := "10";
constant ENC : STD_LOGIC := '0';
constant DEC : STD_LOGIC := '1';
constant CLK_PERIOD : TIME := 100 ns;
begin
uut : camellia
port map(clk, reset, data_in, enc_dec, data_rdy, data_acq,
key, k_len, key_rdy, key_acq, data_out, output_rdy);
tb : process
begin
reset <= '1';
wait for 80 ns;
reset <= '0';
wait until clk = '1';
data_in <= X"0123456789abcdeffedcba9876543210";
enc_dec <= ENC;
data_rdy <= '1';
key <= X"0123456789abcdeffedcba987654321000112233445566778899aabbccddeeff";
k_len <= KLEN_128;
key_rdy <= '1';
wait until key_acq = '1';
key_rdy <= '0';
wait until data_acq = '1';
data_in <= X"67673138549669730857065648eabe43";
enc_dec <= DEC;
wait until data_acq = '1';
data_in <= X"0123456789abcdeffedcba9876543210";
enc_dec <= ENC;
data_rdy <= '1';
key <= X"0123456789abcdeffedcba987654321000112233445566778899aabbccddeeff";
k_len <= KLEN_192;
key_rdy <= '1';
wait until key_acq = '1';
key_rdy <= '0';
wait until data_acq = '1';
data_rdy <= '0';
wait;
end process;
clk_gen : process
begin
clk <= '0';
wait for CLK_PERIOD / 2;
clk <= '1';
wait for CLK_PERIOD / 2;
end process;
end RTL;
|
library ieee;
use ieee.std_logic_1164.all;
entity ALU_x16 is
port (
opcode : IN STD_LOGIC_VECTOR(3 downto 0);
negate : IN STD_LOGIC;
input_A, input_B : IN STD_LOGIC_VECTOR(15 downto 0);
output, overflowMultDiv : OUT STD_LOGIC_VECTOR(15 downto 0)
);
end ALU_x16;
architecture skeleton of ALU_x16 is
component Multiplexer_4x16 is
Port ( Selector : in STD_LOGIC_VECTOR (3 downto 0);
input_A, input_B, input_C, input_D, input_E, input_F, input_G, input_H: in STD_LOGIC_VECTOR (15 downto 0);
input_I, input_J, input_K, input_L, input_M, input_N, input_O, input_P: in STD_LOGIC_VECTOR (15 downto 0);
output : out STD_LOGIC_VECTOR (15 downto 0));
end component;
component Adder_2x16 is
port (
isSubtraction: in STD_LOGIC;
input_A, input_B: in STD_LOGIC_VECTOR(15 DOWNTO 0);
carry_out: out STD_LOGIC;
output: out STD_LOGIC_VECTOR(15 DOWNTO 0));
end component;
component ArithmeticalRightShifter_x16 is
Port (
input : STD_LOGIC_VECTOR (15 downto 0);
output : out STD_LOGIC_VECTOR (15 downto 0));
end component;
component LogicalRightShifter_x16 is
Port (
input : STD_LOGIC_VECTOR (15 downto 0);
output : out STD_LOGIC_VECTOR (15 downto 0));
end component;
component ArithmeticalLogicalLeftShifter_x16 is
Port (
input : STD_LOGIC_VECTOR (15 downto 0);
output : out STD_LOGIC_VECTOR (15 downto 0));
end component;
component ArithmeticalComparator_x16 is
Port (
opcodeComp : STD_LOGIC_VECTOR(2 downto 0);
input_A, input_B : STD_LOGIC_VECTOR (15 downto 0);
output : out STD_LOGIC_VECTOR (15 downto 0));
end component;
component Multiplier_2x16 is
Port (
input_A, input_B : in STD_LOGIC_VECTOR (15 downto 0);
outputLow, outputHigh : out STD_LOGIC_VECTOR (15 downto 0);
carryOut : out STD_LOGIC);
end component;
component Divider_2x16 is
Port (
input_A, input_B : in STD_LOGIC_VECTOR (15 downto 0);
outputLow, outputHigh : out STD_LOGIC_VECTOR (15 downto 0);
carryOut : out STD_LOGIC);
end component;
component LogicalAND_2x16 is
Port (
input_A, input_B: in STD_LOGIC_VECTOR (15 downto 0);
output : out STD_LOGIC_VECTOR (15 downto 0));
end component;
component LogicalOR_2x16 is
Port (
input_A, input_B: in STD_LOGIC_VECTOR (15 downto 0);
output : out STD_LOGIC_VECTOR (15 downto 0));
end component;
component LogicalXOR_2x16 is
Port (
input_A, input_B: in STD_LOGIC_VECTOR (15 downto 0);
output : out STD_LOGIC_VECTOR (15 downto 0));
end component;
signal output1, output2, output3, output4, output5, output6 : STD_LOGIC_VECTOR(15 DOWNTO 0);
signal output7, outputComparator : STD_LOGIC_VECTOR(15 DOWNTO 0);
signal output14, output15, output0, outputand, outputor, outputxor : STD_LOGIC_VECTOR(15 DOWNTO 0);
signal carryoutMul, carryoutDiv, carryoutAddSub : STD_LOGIC;
signal overMult, overDiv : STD_LOGIC_VECTOR(15 downto 0);
begin
-- 0000
-- 12
-- Soma e Subtração
P0: Adder_2x16 port map(negate, input_A, input_B, carryoutAddSub, output0);
-- 0001
-- Retorna o segundo valor
output1 <= input_B;
P2: LogicalAND_2x16 port map(input_A, input_B, outputand);
P3: LogicalOR_2x16 port map(input_A, input_B, outputor);
P4: LogicalXOR_2x16 port map(input_A, input_B, outputxor);
process(input_A, input_B) begin
if(negate = '0')
then
-- 0010
-- 1
-- And
output2 <= outputand;
-- 0011
-- 1
-- Or
output3 <= outputor;
-- 0100
-- 1
-- Xor
output4 <= outputxor;
else
-- 0010
-- 1
-- Nand
output2 <= not outputand;
-- 0011
-- 1
-- Nor
output3 <= not outputor;
-- 0100
-- 1
-- Xnor
output4 <= not outputxor;
end if;
if(opcode(0) = '0') then
overflowMultDiv <= overMult;
else
overflowMultDiv <= overDiv;
end if;
end process;
-- 0101
-- Shift aritmetico para direita
P5: ArithmeticalRightShifter_x16 port map(input_A, output5);
-- 0110
-- Shift logico para direita
P6: LogicalRightShifter_x16 port map(input_A, output6);
-- 0111
-- Shift aritmetico e logico para esquerda
P7: ArithmeticalLogicalLeftShifter_x16 port map(input_A, output7);
-- 1000
-- Comparadores
P8: ArithmeticalComparator_x16 port map(opcode(2 downto 0), input_A, input_B, outputComparator);
-- 1110
-- 12
-- Multiplicação
p14: Multiplier_2x16 port map(input_A, input_B, output14, overMult, carryoutMul);
-- 1111
-- 12
-- Divisão
p15: Divider_2x16 port map(input_A, input_B, output15, overDiv, carryoutDiv);
Poutput: Multiplexer_4x16 port map (opcode, output0, output1, output2, output3, output4, output5, output6,
output7, outputComparator, outputComparator, outputComparator,
outputComparator, outputComparator,
outputComparator, output14, output15, output);
end skeleton; |
-- 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: tc433.vhd,v 1.2 2001-10-26 16:29:54 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY model IS
PORT
(
F1: OUT integer := 3;
F2: INOUT integer := 3;
F3: IN integer
);
END model;
architecture model of model is
begin
process
begin
wait for 1 ns;
assert F3= 3
report"wrong initialization of F3 through type conversion" severity failure;
assert F2 = 3
report"wrong initialization of F2 through type conversion" severity failure;
wait;
end process;
end;
ENTITY c03s02b01x01p19n01i00433ent IS
END c03s02b01x01p19n01i00433ent;
ARCHITECTURE c03s02b01x01p19n01i00433arch OF c03s02b01x01p19n01i00433ent IS
type column is range 1 to 2;
type row is range 1 to 8;
type s2integer_cons_vector is array (row,column) of integer;
constant C1 : s2integer_cons_vector := (others => (others => 3));
function complex_scalar(s : s2integer_cons_vector) return integer is
begin
return 3;
end complex_scalar;
function scalar_complex(s : integer) return s2integer_cons_vector is
begin
return C1;
end scalar_complex;
component model1
PORT
(
F1: OUT integer;
F2: INOUT integer;
F3: IN integer
);
end component;
for T1 : model1 use entity work.model(model);
signal S1 : s2integer_cons_vector;
signal S2 : s2integer_cons_vector;
signal S3 : s2integer_cons_vector := C1;
BEGIN
T1: model1
port map (
scalar_complex(F1) => S1,
scalar_complex(F2) => complex_scalar(S2),
F3 => complex_scalar(S3)
);
TESTING: PROCESS
BEGIN
wait for 1 ns;
assert NOT((S1 = C1) and (S2 = C1))
report "***PASSED TEST: c03s02b01x01p19n01i00433"
severity NOTE;
assert ((S1 = C1) and (S2 = C1))
report "***FAILED TEST: c03s02b01x01p19n01i00433 - For an interface object of mode out, buffer, inout, or linkage, if the formal part includes a type conversion function, then the parameter subtype of that function must be a constrained array subtype."
severity ERROR;
wait;
END PROCESS TESTING;
END c03s02b01x01p19n01i00433arch;
|
-- 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: tc433.vhd,v 1.2 2001-10-26 16:29:54 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY model IS
PORT
(
F1: OUT integer := 3;
F2: INOUT integer := 3;
F3: IN integer
);
END model;
architecture model of model is
begin
process
begin
wait for 1 ns;
assert F3= 3
report"wrong initialization of F3 through type conversion" severity failure;
assert F2 = 3
report"wrong initialization of F2 through type conversion" severity failure;
wait;
end process;
end;
ENTITY c03s02b01x01p19n01i00433ent IS
END c03s02b01x01p19n01i00433ent;
ARCHITECTURE c03s02b01x01p19n01i00433arch OF c03s02b01x01p19n01i00433ent IS
type column is range 1 to 2;
type row is range 1 to 8;
type s2integer_cons_vector is array (row,column) of integer;
constant C1 : s2integer_cons_vector := (others => (others => 3));
function complex_scalar(s : s2integer_cons_vector) return integer is
begin
return 3;
end complex_scalar;
function scalar_complex(s : integer) return s2integer_cons_vector is
begin
return C1;
end scalar_complex;
component model1
PORT
(
F1: OUT integer;
F2: INOUT integer;
F3: IN integer
);
end component;
for T1 : model1 use entity work.model(model);
signal S1 : s2integer_cons_vector;
signal S2 : s2integer_cons_vector;
signal S3 : s2integer_cons_vector := C1;
BEGIN
T1: model1
port map (
scalar_complex(F1) => S1,
scalar_complex(F2) => complex_scalar(S2),
F3 => complex_scalar(S3)
);
TESTING: PROCESS
BEGIN
wait for 1 ns;
assert NOT((S1 = C1) and (S2 = C1))
report "***PASSED TEST: c03s02b01x01p19n01i00433"
severity NOTE;
assert ((S1 = C1) and (S2 = C1))
report "***FAILED TEST: c03s02b01x01p19n01i00433 - For an interface object of mode out, buffer, inout, or linkage, if the formal part includes a type conversion function, then the parameter subtype of that function must be a constrained array subtype."
severity ERROR;
wait;
END PROCESS TESTING;
END c03s02b01x01p19n01i00433arch;
|
-- 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: tc433.vhd,v 1.2 2001-10-26 16:29:54 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY model IS
PORT
(
F1: OUT integer := 3;
F2: INOUT integer := 3;
F3: IN integer
);
END model;
architecture model of model is
begin
process
begin
wait for 1 ns;
assert F3= 3
report"wrong initialization of F3 through type conversion" severity failure;
assert F2 = 3
report"wrong initialization of F2 through type conversion" severity failure;
wait;
end process;
end;
ENTITY c03s02b01x01p19n01i00433ent IS
END c03s02b01x01p19n01i00433ent;
ARCHITECTURE c03s02b01x01p19n01i00433arch OF c03s02b01x01p19n01i00433ent IS
type column is range 1 to 2;
type row is range 1 to 8;
type s2integer_cons_vector is array (row,column) of integer;
constant C1 : s2integer_cons_vector := (others => (others => 3));
function complex_scalar(s : s2integer_cons_vector) return integer is
begin
return 3;
end complex_scalar;
function scalar_complex(s : integer) return s2integer_cons_vector is
begin
return C1;
end scalar_complex;
component model1
PORT
(
F1: OUT integer;
F2: INOUT integer;
F3: IN integer
);
end component;
for T1 : model1 use entity work.model(model);
signal S1 : s2integer_cons_vector;
signal S2 : s2integer_cons_vector;
signal S3 : s2integer_cons_vector := C1;
BEGIN
T1: model1
port map (
scalar_complex(F1) => S1,
scalar_complex(F2) => complex_scalar(S2),
F3 => complex_scalar(S3)
);
TESTING: PROCESS
BEGIN
wait for 1 ns;
assert NOT((S1 = C1) and (S2 = C1))
report "***PASSED TEST: c03s02b01x01p19n01i00433"
severity NOTE;
assert ((S1 = C1) and (S2 = C1))
report "***FAILED TEST: c03s02b01x01p19n01i00433 - For an interface object of mode out, buffer, inout, or linkage, if the formal part includes a type conversion function, then the parameter subtype of that function must be a constrained array subtype."
severity ERROR;
wait;
END PROCESS TESTING;
END c03s02b01x01p19n01i00433arch;
|
-- -------------------------------------------------------------
--
-- Entity Declaration for inst_t_e
--
-- Generated
-- by: wig
-- on: Mon Mar 5 13:21:41 2007
-- cmd: /cygdrive/c/Documents and Settings/wig/My Documents/work/MIX/mix_0.pl -variant Calculate -nodelta ../../macro.xls
--
-- !!! Do not edit this file! Autogenerated by MIX !!!
-- $Author: wig $
-- $Id: inst_t_e-e.vhd,v 1.1 2007/03/05 13:22:43 wig Exp $
-- $Date: 2007/03/05 13:22:43 $
-- $Log: inst_t_e-e.vhd,v $
-- Revision 1.1 2007/03/05 13:22:43 wig
-- Added testcase for selection of macros with ::variant switch
--
--
-- Based on Mix Entity Template built into RCSfile: MixWriter.pm,v
-- Id: MixWriter.pm,v 1.104 2007/03/03 17:24:06 wig Exp
--
-- Generator: mix_0.pl Version: Revision: 1.47 , wilfried.gaensheimer@micronas.com
-- (C) 2003,2005 Micronas GmbH
--
-- --------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
-- No project specific VHDL libraries/enty
--
--
-- Start of Generated Entity inst_t_e
--
entity inst_t_e is
-- Generics:
-- No Generated Generics for Entity inst_t_e
-- Generated Port Declaration:
port(
-- Generated Port for Entity inst_t_e
macro_sig1_k1_k2 : in std_ulogic_vector(3 downto 0);
macro_sig1_k1_k4 : in std_ulogic_vector(3 downto 0);
macro_sig1_k3_k2 : in std_ulogic_vector(3 downto 0);
macro_sig1_k3_k4 : in std_ulogic_vector(3 downto 0);
macro_sig2_k1_k2 : in std_ulogic_vector(3 downto 0);
macro_sig2_k1_k4 : in std_ulogic_vector(3 downto 0);
macro_sig2_k3_k2 : in std_ulogic_vector(3 downto 0);
macro_sig2_k3_k4 : in std_ulogic_vector(3 downto 0);
macro_sig4_k1_k2 : out std_ulogic_vector(6 downto 0);
macro_sig4_k1_k4 : out std_ulogic_vector(6 downto 0);
macro_sig4_k3_k2 : out std_ulogic_vector(6 downto 0);
macro_sig4_k3_k4 : out std_ulogic_vector(6 downto 0);
macro_sign_0 : in std_ulogic_vector(3 downto 0);
macro_sign_1 : in std_ulogic_vector(3 downto 0);
macro_sign_2 : in std_ulogic_vector(3 downto 0);
macro_sign_3 : in std_ulogic_vector(3 downto 0)
-- End of Generated Port for Entity inst_t_e
);
end inst_t_e;
--
-- End of Generated Entity inst_t_e
--
--
--!End of Entity/ies
-- --------------------------------------------------------------
|
`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
Ijw7mPXRT1pNoLg2oZU/N1EGzVifLbU9Cdn5uq+lr5L4PRcM4ABxEl30L70XZTF9k00TvnkF/u2d
Zt7NqyvlCw==
`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
EnBPR1CJ+sKXHJQOWPpfUePtXRmoggIjQ+IqYHROTJFHS4eUt1oER1RJukmaXVw7jLTuRUPrPLhu
GY8TCXkJ3zcT1Fa9G8LSDdU30Dz5CZVYWTf4ovjsihy77YiML1+pjuOPzvLe6MRIa9zPGvKkO7Tk
/cwFVpYlJSoUy1a2eT4=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
VHlBH82gZ4PaxcOQ9hdpymWj9HfxT4Ke1K+CiiLK0AS8i81nLkkkoqf6+VHeFR9ggzaheL1du81L
kxAvyL1QZoBooaZ2sOpjGOzgB0aNxVkhUbsiTEYUSDMQWWdjCiC2BSSogcGDhBvqMsI0b8eTfrTr
xwgD8mjq/8y5PJ3i/T7nECkXZ+dmRABy+LW6uxW8MXb1POFZNweuT5k7xL3BCk7/spD2KYxz0efX
62Tg5vrThJ8xrNvYplPhEDELRoV6rTxP1MO/+cjNkz+0a3gmKrlbLHqPu6WX2Z0ciGsSDC0Cywsk
RAO/mh1O9NrO7KUs8Vihu6t3ayCJBpx91dVw6Q==
`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
1BIwRXmQ1SbYxYIxh3JZQie89DbZ9Eu43SQR1cngSAFAumtiqByMxsH3sJrChTtiTEFFxTo3Y35I
LGJOJgpl2BW8QU7hpA8uzVbC90t6tnuF1cf9w4Zx3JuVfbew5nMjY+rvdYadfQjUIfRwngxNVRXZ
xv9IEghiZbHmaps9PV0=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
lNJNjzPBDfPgGc+GwkA+4WmP+sjpdMoDH/HyI9njK/3GSo75c4vODsrKwhlQ91OyQEhqIWv0Kjac
l4KoBqFdFLRDorgTOJS6MMeyiQAuIPZBvNzYPax03sTAKMdvo+2Mmk79TYs/KzU7RoKgsHVRLJsX
4S2Coup21syqJfaLjEwhEWw9tSfIGg54DmONp60H0c55UxrRnERgVrEuOxEQDs4rJNo1aoeegOAQ
NAAK42TE/37PY/zybZevXypTcxKUcWPx8OtjIuPCDgam4FFEp2f916bBxj0AF070/6enmwZleDao
MRuZCcDhbvojq3Mq2lOmP6KbKYahIKTZ+9iRyw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 12384)
`protect data_block
9R/da79AQvgUhcscWvOrmx4uUKYbtCFEOXBRTI1Zaz2BALWARzFPGzGwFwrxUYZ1njn/PFCb0BL+
HcXW51nXAIRlJaR3knFGjvooko3oANYuAyy6DTNn7AtCsTLN8BR6+8p+YA0yf69YZPIb53cLJvud
y6Fu1L5zhWWLGrAFolO0LbnM2XqPGpHZaSJwcBcDiK6cXg6xzkDe2doAje12lOMyPfdoZkLUHHTn
fuYKAPqamQXLKGAGhHilgryoe2QVR0HLmtnRVot/+MKzYSrd0fIUOZ4MyevedOz8ONU8WK9guaZH
P6EHHSYA2wLWgA8xm1eDtRLWckpMuABkrVVA46JflR35C/E8sr0qplmKg8dcpm0pniwL3T7Q/5SH
ePBhZCS9SfKeTRp6hOz7DjOBeOv9gwqFdGSlrvpsyhVYw9N4VwCo7kccHwJJomfYXIQoHEXXBGmo
6PGehGjw+vFKQNvvk8aR9xrWn5OFK4a9QpKvj82YuhzzF1rrFV5C472MCA2VRXqANQfJ4l+ME9Gg
dwwMOpBHKkJJ+Ix9a2ZPGe2Twsx64Bth0m8XwDWzhWjKdQL67046Rgw5zGvcbihtPF1SrgMxTIGf
fN4rdrHOQGGvWsuPPKpZAZPmeckflppxy6tRnHi/bp4YqAfafzUzVoFM8gs/afVOt7UYXkdXa0J1
xcyf3iPsHKM90NSue7ThJViTzHmYOQlTTnh/aP9fB0FtqqfVbgafKCYJiq2+mdXezWzDrdYA/O2U
5oGItQ5yq2Zg0HkvNeK6b9jDbghlfFlIMimVeJgx0TOpw1ZOuFVwHsp/t0Pb4fSyFQiBCbutseBk
DiAdWSkNWq0XVNQp+GUtaJDKIBMfFr2wQrd+WTrsLlmFRgqXdc8F06EKjwaO9po4xX2LqMZm89Xb
YHGWHthSebWz2/ea2+8CNaP5c5CUwQmbmboi+KFEEtncsMAnYf8SMm4MmLDdUisQXnLFt/F+IGZI
Lo3aIZF7cJZy/nzbkH+VeJdKwDx5UTCzJWsu1et5sGFdlQFWH5P3aItd0XgD0yt3FDV8srPc8QvT
jYMkPCnaOkt/7HXUld2j8JmBkI4z4soQQFlp6SwbpjY7nbVik0VXbjXkmPWip5qzxdNrDmTWocYQ
3fKShcbNR4kBqAmfGN2cb0AVTv28cyqIcNwfWKAB4iybXme/95ZznTyVi/f/SayLDgGS6CFyln5H
OnUb2s4PBumrmC0w17wPryb2yj60+Nij4soVc9AZQNv5m8BotF4BKud2GZ7Z0YqCBY0QHDhYENL9
6XgHw4hH6ab13PEWCtZf0KI1T9j1um+i+XFDgJMTYDyWNDUaQFpg6XKD7QqHZ1Q6V0z/TSTP8t/m
JAR0YMU3/8UIe4CESpsYf7TeaB2veTFpJMAbd5bMjkOo4l3d1OuNwG8ouiSRME6G5hp4WmTXvFUH
zV9fLuxwXhybhN9RqVBuRhu4zVPHKBc8MiEYFix7s5CrKiwV+prjQrZTQvn+mzz+vmcb+QEpnp88
954/gK/G4SpZjp4LVhQZwGOONmo+caLF0HZXg1BkEuSbHoRP4xD6UDc1fN4Ox4FWd3EHs91SNRNn
7PyK2jpu+ZQLeIMAYpw1f3Mnw09IF7mjT3pElewQEZmQGxAx4UornUt650w/iUoQqY+RB5vTTnGX
eDgxlVEG1MydEo4kvfr8301AUdngm+Vpgy5dmRvzWl7VucvrKKVH+fosl+4kgXYJg2wRpVqVv0Su
V/r7nzTF+TDDT/sID6WQGEz1BP6RaIhki1OkP/UZgg0yIVogC0vTWK8XLV/Bq13GlAenSUbfIA0V
3EzpOjei+un7ki4qVmo1mKtP+Fykchw0o3ON/wkQxPAdtVOrQ/4SMyJ73/a0eRur0MBNODUGpaT5
OtzlMWNxUloNRnyTnPCBkpnDA8ydkAEEoIF49ey2978tu41KGJKYJ78nWQteIWGTR5NGbXi9Y8/e
aylMGrUfxNwOLVIzygaImfVkmUF11IbSXGOSzcZY9ZISUQJA+xi3hiouYMEGxJjn/FT+mBKY9YtQ
icq5pkk8kQzyhzNj4mKFIIO9RF9SdmoYlwdU5DHW8yKBEMiiKmA+dlc0/tsbr6fX+xHvyGHfx9TJ
0B7kvNRgdMM4iUcu5TqmKB+NBZqgb+FR/Xs93unVX1Lsz+gk149ic+JK38xs2XmmyZ1We3khMZHB
yl68Tuj7wt+vhI4Jxmfxm5lEF/OzPAo1GFx3pI6IJTVtT/Onom0ZlrNDJuVC/qt90M/0qBVdv9Nt
oMdUYLHhrY4e/tgMMRJ5IDHeYl6vmS9FNoRePWCyun/ZnPHDSfN+TVc9l8YRNP4+cFBsBdkjKovm
iPblhZ2x0duKBfPwZD2arXuFgbg1g3el/cB8H2xlEZw050EtV6oNXx7NB0a4ekYqO7652VevGGmK
Uc3Yrg7/2OPGqiKnautDEFl+m3V6cc8M0zOXFsDURp6r0araGsDuFJ043/4PkfEVpikFwC0xu4yr
XK0FkE781JTDyciZBANwTGj9Dwi+MXGfRyKg9uxRozFcRwWnNsh8fVYBtdzrUU/gCN1ce0PVFCOG
Qn1suXf99vFMg91Obl1YYlPMx0edlbqjRIBR9HELmmCHONe9A7zOl4FjHEzaen0Z7c6wgwmzuoA0
aNbOoM+KXJDCjETk09CCUzv2EKm1SilkoV1luhPX0Yh8gwzHRklisMtyQNFyzGdeqrd+nXuqDhBg
EEyQMTxgg4wOycLbiCh+7lzk1qz8CycZ7QbhujfXWlsXpXx+2an1ULyrABqMcwResWAAfmiVQoOu
RtzLcUbpHb/QiexQaXHMzqMk77mL917VUviDFZ2ci6DRf7qirqCsJtdFdGeNDKS5KwLjOjEQmlt9
uxK7BN/Pv7Fqq3r36ryoo/X/hnScDKgDHFD0Nhu0tpjLMh6zB4opjCdvW6MmBVYHQa4DQss0f+Bd
TscOqDMqpoXjNbXqaYJ95mlQLQAZaWGoiEHOzotF7oaTEY/h/OmTckpzhTM/sD+mr03ABAOB5VhR
RMGQwT9m0jd2iwOCTubbA+dxdYRYO61CXH/fli5tfYX7xLGkePUkrzVHUuWjnF2xW51OcU8Tx/4Y
PPFlHIMjw954azqoonlu0WRj7jXdadV0QcSfjjrHuwlg6HMwNTc+LnVhIPWhPDev+tjjQS1q5Uqo
azfQmJgK8B8TklIskvdRDrC1bChiagl04+a5Npgp+O60nWZ43VPCZv+ULjCu6xlcBXlQbdW/HB8a
asRTU+RISBUK3iRVCF5FAjFiWhehRYtrzt73yGEz+Dyh5DnN2YdpwtsKaIINItF4DCAe1qHfvW43
WPaQcFe5/DEXt1Dy/Ak25hyjPt98QTRbVelETu6J99GM3F/ebaUfTamrUV8QnwiCXwuFb1rHJNS2
BzQ52mfD3RD6FjjR73Z6EWuhoGHxnByP8ks8G3yTjrzd9+UQZ58wphV71IxgmeQJcKUJkOtm9kA2
pSkFclpOoUSEJ4okR8PN+Yit1vujl3DXS5yX7rsl+AjRLkjeScW+3n0O/zqlQw6UHrUqXtif1tOU
DfKKPEl64suGQfG2b9NDNWsxJpN+P32rTdmNoqmueLuLvTpZCwJdy5DqyAuGpv500b0kzTZdzq4+
iBAsdMFTPqaK6RNXl72OPD9XmI3tErywpVv7Pq4sQ9DOyG4SHAxDBgMaE3If6dRjeynJSZFE9gRW
O+zROo6IEYjGF68+r3KOaPhty8FS1W3GNU4ImHaOh1uJoIFBtV1W0STBLkYgJd60Ip04XOlW8U7a
XID+ELLF59+uXCiA1jtlSmvlb7HwoWaqhL8lBz+waKDwBihMZ9+5PIVzO33vvN2LIAv89yK/1yuj
1NvwBLk0SFqJ/vaRhTeieGKPHc23GxOw6Xxt7XTzRENuPbke+YaRiSL7vUPX0QD6FkCLz40TcHU5
VJJu/UX7C19D/Wv58R34aleWvftKnKFkHi1VwXE3/T6n1nflD1KclLyiB0NrLwxzOLCXZPopkw8d
bYRMm4AuSrq1qYo96sUvqZR5dCCaZ9mZ++3iIyVA4PrWjXEoApTUnePBixK4va6dpBC5CZlA9lVj
kadZVEqfnotc42kp3tgLATW0FhuFaurA5OuzlUgG+aF/PLmMTs1WPAJ2xky78SfIfC7/JZsF5F2z
5eiQf7hkAKG16NgR2AwOQ0INh6OfMPc8d7rU6ZsUd+DiGbqy2JQW1DotSWJj98e3KJeV9Dftov/d
mqj5T5hyiBnZpvvVKyvXiTGRgoJCXU35UwqMR/zxJM/YAYmjHSxG1cCOy+Mp10KrvQkRdSbxRJML
0nIXiNh9PKhALJH8iPJ5cstLJbI2pkGC23lbovu8y/kg8tXUYonORpBWBsEs1fsApVT5aZ+QSx7F
8TTEf7Ra1TbCeB3qunIugzmn9UikKOWwW5YCf2m+XWaFNaTo5I/S5TMqiVjKH/HE7w/+HZrU5Ydf
01WcfP9f59b92JoRGtSFhtTSHujbnmvA+qaR71hPQBgzIPmb6Fc3N3sNbSJoRm70qOCxu8pHMj5p
ULnvvj2K/5xZ9b+TkUe4Hv2g1tKOMEPZkytj8WYWLIJ64BCUIGzoyPWYvjBczLz2Cx93CRo5LFhD
JRZcmZI25GtNdnPVq+tp5HPdxjJj2ZdZEihFZ5irImAPEwkBZBSxXDIBQV7fIN4LQ++LFq3Ti1Wj
9z0cAdKjaKa2Ujhtruj2vcZx0uH7eOuU2qOzfRx9p6agD9x+/sPNEP90ix3D3qKRx7F0v3KN7WUd
tafrsoSLsccBT5dN3sMs4Ff+jhcSBy6MhE+kGxIn8LW9/VHTBXTbVBGdUabzXrOAcqUNDPTE1V8s
0u67YKK4KBbSaGckR3Vwa2BJcqiyG7s04b/EIYZe2npyujLUfpY3GAWmeZqRaNufKgGJZZnk0aKH
kFsetKP6+DzUm5Gl9H6w/vOY8FF8cji61oKzdmZEdmULX9GfB1cLaw5g9kUX6hYdUZ1TjDXs2Xq6
jI6/f8K9zPOhW/fHDEbgmynudM4QMvJPUVyCHRL8VGgQ6dEpFtIBZrU6JeBGJq6QDNiqdjbbJsoN
uXihWAsZ8m7ICMLIzLmrKK3fuWZL7ZL7juOg1748kuMqdizZn6+qi4LMDvCfsviq3duzOFTjW/lw
sv5SmYcqRmNu/ZFRCIjfPqFvfA15zzeDWzaYm6qiCjlgpacAC3sOoYPedToEsaQninNxN4ZNaAGi
p6z3KWhgN5IKrQ+XaDaEaPvB7bLMyLiuMJFfDFIrvux56xEibW+vZXp7BYBozDvg8OsITp3z7EAy
J1iGOoG8qBF/sIDqQZ7tnYPyH30cuNuV5snvXUj6KFKz/eCol/6w60Q/K1Bus2aVHCGbLLTBqpM4
ArOrMFMypgaAgEKG+OGXDTppqd39NK+ByZCwl9WI81sJFepDDtZ7RqlvdsFXNV0jrkiCLefOqFX0
pvl++nd6aTupRLu6GHuOxHjouMfg0VGDlPN+DU9z6svqPLlXPUQKYwXwMX8cIBmNRg+6TSE8nKGa
lx5eIuNxHC+ajzjJerxKifDrkPf8Nf3PGUP0h2ZNSq3bUn4mGxh3KKpRybk8rSoHO16GZLmp7DOY
iMxUihBXff157D+KGub3Z8ZRPBqSPu0OvshP736P8iZtK6HK+PrrcVeW3R91dC+xgXkfx5jIDVrt
qTsaEv07DLkKrO5VFgP0GBTAcyVgq2ZYAeLwhuVVdBP4YnVHTOh+C3HXn0hQw1VuPM9wDy9pJn+Z
PA+Mtwp+MLGfZjT4DADeFyVjWsK+HplfeXbdsc5oxS37Ny593g5IqOtkDD1AZjmkL1JivDwRieS5
ctW9jR9zT/Rdr7d9q356tZuIoZClJsWnUYaZT57i6CQfaNs1lJyJ6PYD/xq7IM/4IFry+9URu4Xl
j+f6ouKkXA6nHokqiIDI9aso3AF+1j3+fZfZQfE8WJWVSbchYqSdvSSliCHANmCBmmqxolI5aHjL
q5snmSv2aEQSSIOfLLbNwFBoLRFcI3oBR61ekIB2cwx0ztFLBQ1fy/hwFtYz8L0pGGXQl9//LeIQ
2y7jWT0q+dcGmRlyZ3F7QrC/h60uFXWQzH1GH39DTQjTfTh2fkLzkJXdPqT21d8ath+HM1Qk0+2A
hb3fH1QM4sU7/x8O/MvRhY3g5XlYnu5vd9uYU9aVs0ivojxK0zwrQNG5qm69xaLEY7KkOc3FJPYY
YvJIEw8t7+lA4Z2QFx748syqVzSlkyB+/cwFMeliMIXMEBSKIh8y+0xgoqsDdIgWufd76EUcktgt
HsZ1YD3CnaYUGMAv3TFmdhRXaB3vm3MxL82OPX7SHfJkMVGW9JcG+l2TUEGV9156KYGTe0cj5wwm
cWXJ33P+2CNLzA+NFSumwRC/y1V/zZpW5n1LGIJBgGMIJSCzob9Fj1z31jCWsKYCtT/l2ZbqRSVg
xJPvAZgayQbF2aAlMkhzpGmeI/OvlQyCPB9b+TSrJ7BFKjjokwzkX+WHpX54BcB77W/H1VU+cSDv
xUFLeZFGpGbrif7r3X93MK3Pv8TgKny35LOG2jJYJIjD9Fk2jua38mo/w1uJHxHhxQDFVKAG7gMc
07hv6nJS6cx5Nda5s1bd17DIoLl7rhDfMCLfN6B0cf4iUcTRecZpVCWOu8IOHd7xrKdM69bcKifZ
QioM5Hx1eXr1yUsTLtWgdoQbLVsteK8iz3/TIt0IJfWxVcNxan1YwhUF/iFzOCZwRV84FAJEgpaq
lMQNPnBMV8Wuy7xjurcvX4mGIvMyOSR+X6FeP0jouLnSGPR1yiOc5068HS/tuMXVEFOtYsMnNW+l
EHHnHfxGtHWvHH7MMYFmkr8xSyM61LPgdbWNowVXH3bY0TIxxUCp8ekEF4Y9AG3QsDK5HsKfLVV+
js51gqlV9glMSPRs8P7zioiTolbxj4tAx4eOyOp6svoPy9uJQDFQusSjOacGkwC8U+8X9Itbg9Do
U9rFSwuKyImhrUT91CzQaRSZ9MFeIhwB7ZQIZ1Jss5IzCRWZz1mSZd8qdb8s79UXKAx1+c6PJYRS
USIga00egjEsJVxbQptU61qAkO32pBaxqDtsOhKEAmWI7rdcmEBnbwBgk28PL8RW3QQTXPHjD6CX
/6nijiGS0sk467yGnvBgwCPdHHa8R0bU/GqDpvymdYwBX7wLuaNjLTDVNL8/JYUs99VbJlKA3IMP
3Ras2yA+GXHPzV9XUO9qoBUQ10g9IY0IQy+T1BzYXS7HhDf9sJrTS2ZU3RxV+SYKI23pvyjpg5bt
34KS+EgyCLdxo58112LuRswy+QT53e0VVZBmw8PD+XMOt8J+SFrogzu4R8ZyyG92zupwTn1ddHte
Ns7ezI1hRHiYT5RnXvQcwKphT79sfRZmidAn6zXUjrwp5+90NfC3jcvfq+ReRIuW2+ixJNA1NQe/
1DnpnVYup+tWxp1X4IDKLmIO9V5SSIfyB3ydzzg82AFOwQJItXVVGnwEAgOi5ojBDuWSP0EV2gw2
4+CLslaDEXXy8ZXwPTbCgMGTMKmovgVVbdbC5ubX7Qb4aTwWcDO1BHJSNKQwqBrmhjgOCvsC6jzG
J+fQZAuj53CtSDOfrX0VpHICeDdH6278t+bP9xhYGw7gYzhb61kz2m6P0M352WkRxQM9nNddANMG
s5DumRmBIr2QAj7BoFUBPV/QK0UmbDNd5TvRJHeiwG1bKi/rdSNnxrrT8RFsZj/IxajeBz9FxT1w
5IRqjR5HRYnGOmXzNdPy1569QGWKzWSBxRC4BRPQC9esGH8CZdfRMVxkV55PCDfuDZT0UEmPHwjY
AHhyrMxBHPaENM0eTYDmbfy41ACxl8ZFYM12Jgs6iZOn8Ronue2CKnhUBPmsw8AuFx6ezewFRiud
Ef2jKr0ZjbdEEvlkMa3YOP1aJiY0SYxtU830H0bIq2cpevUmb3fUqXGR5zgsqG/wX+xpz2UNffVD
liBbM1+keSUlsR9v82VIArDTDOAvPpCyUsG39L9Wvy24lToiQSxCfUJrfd4IQ4PtW+WgREEEoQfV
4PMgCfk/CTUp3vfGoKvAgIr4O2ynSWl5nqucz1ZCH+VcSbIjEib25/DDMQnuQuwcAhr3gyfH0vlK
xUb/NZbYPz2djAGITHbeKFHyZ5BMGMWVUby+TzRk6E/B8aRmujOJ0wTpxwuEIrEgJtCv0OlVgjvl
Ue6895OPg7gGJnnxFOE5Lxd1/2EOYXizqqoteg16d983JOIBoiIJxLsO2a4gVoAv9rf35xf6kpP2
qyhWy4zsaDq7YXGwWwcy23Hh/2aj9KOBep9TTlKAaqz5bH9oyuodG5OQ6NmT586A7HFmTk/NLHiy
unDF0l6HlZkfuFQG99+gQxOigmUSyTOxBeydim8Xhrbz4fC1ifcD+1gc070yfDZg6CvI/q+9Ben5
pl3LHsVAUr2jaB6v8CatZQ3Lbw1jOzlIJlL4HKfmYKaofD8cShjbO6HIHqJKOPREZ192MmPDG/Hr
FlNcOkQaoNg+Qb1vLi8aASFbbiGUp2Q1lQ/GMbi9nBDO/H5yeieYPhdo5SKFuuxBCL3HO1vgzw05
mb7QGIEBbQ4zNP/nrAZIZLnzqY5Na6TVXtLz9hCnI471FF7NIRhQkqgJjrMjY9s2PtSXJxRDO9Ka
p/YzrJsry1cJaVpC1wPGj1UPtrAcK0jY35ibgG16A9mw0O+U8nW0XjOBtt/qZugcAvBp9O/wWkUN
Z23y23VBWQmg930aXQ6D9kx4sR6SFdcrHhF6iDztNywZp6TSsiBdXjkqicWDFqJ9OI1Gy4IsUe4A
aENVFCUPBmwCAJmJ61gJl0U0O0LOw7QMsyJHlXppRpqc9NCN5W67FGmrKXIHIcOdsbCMiYXVCyIo
4iElkoYroexuweeYHZqXcGo3Ptu6+eaMf7/bCyJUeEi2ubnYOUl6DL9iCGuFm4m//9qjb1DIj2P0
ciCresygCyCaq3wxMIpozfBf1/D4ez5CcDPGNWtns31r5c2ZepRgIyY41ZJs9+9RgcuL6jrdWYN3
e9VuJxM1OsAE34gEjhxLWfCM5qyy6s53pp/eWBMpMzf9E9qryFAqY+9f+ie2r63y2e6Vc0P9Ynng
uPzP+FwlMNLSkjcChm15IdP6F3ONN5Pk2d8yytn5YgXs4A8f1YPoAeBtDb9W7ZIPj34mSrrOY0Pd
k9qBtp3dRJtum/8dUiS30fAHRzR+3syufJnECBHoU79mj+1bjdglCEJP16Trjg4754Nm5uRzOrfR
KpWDyNUKpTq1Wktn9UbF1bLLpaMx++QFp87qAPVowSeuKb5q9gkdrQHcjl9k4ysFXP9sp29yH1R9
72Ry/wqxq7pnaQNxkQCjwqOH9vH95yeqA/VQZMdSxWhN4aIDvsX1/w6UzQaUW5T38yjNvTMcknQQ
hpCCHhEGVgAhIIYeojWxqTSyiqOQQrH7YHUvpkJ9/FAh63H8mXNgT6ivdfiahEjxbHZ8CYHcEnnl
Kerp910jgQxbijX1wZdWPE5LS3EWzRcZuoPg9LPrTw8x6bU9mu225fq1EcykLj9FQOshMOIJBF4B
RyTPvgEVCmFsgKU3ZuG/o6qXDrXJGdHYcSguZMSM/5QuKvuUgvenGXI10MxF8vpwrWBSWX7MgKse
Sx+bUN4DlEeMk2RC9VXwHE5MbbwjsMr6O4gz9M9iVwoCdwkKe7CFPIrvS05HPCeKtN4KWpnpzihW
Tq+6f4gAiwst78ToCYl7wY3l1DMx6DfHf7vgp+kIrsWmAaZGKJGeq+J9P6H9MdYcxT/8THnjs0DP
U7D7oGSaBiSCWfmn18KJouOKPuru4A0+Bxcjs3caLdwAexlsRyQb8S9MI4aF08CFLg4rF7GpPdfx
HxiH1R8oG8iKZ8Pkq0hfV58Xl9JnoB+ZBTrSx6q4n+LTN2gCYK+WuTZZSKI8WCJSn962WSz77AkQ
ZdOMtJxLhS6+FU9XhOLoE/P9/kWISHzi3xTaD49y4tjXNDb/afEBNW/u2jYzPsJDHWKv+vc4+0AH
K141LIqECettkULN0cVKQ/Bs8aWm/hsUGp67u8EkdzbWm0Am2yWlc8d16VxVqn+dE3zK/TvWUOBl
yrD6IKmHmx5o5gxmv3tyHy51kS8SBWd3KytMJz6T2zhNAosGfHBfuAc/gwgMAuXh9pb+Mkn5HOHt
sDn3ESuBJinr9///Twt9jo0YtPlTLhlNbrrBdBoov0gMXMawmusQz6byazSKfaBHt+0A5EhH1+Hb
CTKztnr+tKcmgOJCGCBnfEXU3zQMvlrJvj5posIOYuOUIjvLJXdDHBdiyt6iE9dfFb8njdKoO5R/
e1N5VOPivyInkDHHQyR7rSPfssnn+TtxLRTdNTp7DM6I11bW8YaI4K8JdYBN1NWqY8lzMYW63cr3
Wkl3MPoeUQrTHS0K54td6HUHxXMU1Vay3/ylNxzZxGcivGfhLRHYgqaEhNKM5SQaBvoJ103ztC6O
SaZYS5Bxl6w5evjBul+kjqcI0Df3/94vvau9+EnBm91LSTwzOr62ls13t4GBB9bF2W0DvK5cTFcq
KwtwH+FtObAdZc1Y4+rus7fUkHSFSSIzC7Qy7qTkcmFz3VqoIK06bN/VJr1sxsT8FmaB/bet9cjK
jRkzJ7fVcYpCZZy6c3ELwfk7C75NPJJbbfv4Nx0V7zzqpZ6yEGchAL/uBZao6yY89o9Zif3qAhpb
tkz11oSFrseG2aCdFyGIuyILqIyRcnitqtAAHSubV34Qj5luDxKQfEHUUKQggV76sVoYo6Kx70Wn
LTUEGJ36NB8JTZXts1j9jTlny1AeB+xkhNUbEfKLRXtKXdOU6dvRbvgqFhfa94RfSDxU6bqRCkLs
vEcpsZ35/1h2IAawsnXYHIy96lpKfo1pc39/9RwjmocjMaCVx1oyLzMFgWq2PbWeTO+oMKrCbbyV
4xy/B3eY5grxK97U6XQgBO7S3i2kc4wQxBpqiTo+fR1ICqIWxXcrWowhpunAXn7TIahDYYd9ZB8a
4DW+t1jU6wgd6hNYS36X5M98DSuCL6utn7iXUJrsz6ddQS9YyD+d2QZ9MVu/dX4DSJ1fY8vNa4Qq
T1Go9BiwU6c4G++JzBC2FyehaO4xcog/mwe0P/FkM3pKd1LgRMrveJSlA8NIRQZiH3ryYparfLwd
RBssSoQFSvrVmPMe715nPJyDjMuuAf1azQ4mJcjB7lSluLeDFqIEboAT1LC7jVJC9jwIva2UXxxk
cVRJKpTooDu4MFfNbcmRDBytgRaxVBGsnyF68KlnYNpxaXUE9oMVh9bKwbaLeeJIeCiA78QBYuPf
28gqo0vtIrK2le1iu9kR3R6uwoCFt9qc0iuVmYYM0Tf/OQtOCoydVLXcLE/Ds2knLfEGChM6Eyxt
i0nGMQr8TVvYLLVTuoLYoJ26cUwLBu5MTUAuPIikAnatOFc0/BcyqQwKXq6ov5hSTq1nOkLl4CXs
4Ue1LySdQzYviL73UT1K1ByeNAvX5JgV0QmdQEdQkSSVBwVz17Lw6BNsRLkzz8uAj2m4vA/FW5W2
foVU/MHN73J7hJ5aMi9xVUfrXHfr/YUoxjUCgfFG/WQ8qhUmypE81TTJDD/UERAxpIuvrknxw2/r
LdwesF28NMy/CAvhSgYtu21QcjvzJTlcGvuITcSdMjTktVDu6Bzwfg5IUmH5lU4T/nWmC34WtlyE
/fi8dJhZA7CaRy6rYjFCOl4AooWtWKeyGIlPJw2uPxB0eVJRZNZDXQIozzkRlC9CdeMKThPH5O1r
myQ+5uEm4cCGfqASM1nBKW/semTxgjj6UPG+6Edv+gWRlapTpnVTjkrxwMGL/EBO38keq9q0W51O
LN2mCrviu4CQGDbMrF/sIue+S5/tAcu5hB1WD4+unWxei/sB7b6NzjI1UB3xjyvGDnnSBqvndnd2
XJIv43GBm1sAJPfPQvkcuVcMjMmoQ6BgrJpaApfw2ToG1V6rhTOxcq60rxCIhR1SdzzLsO1CoIJO
oUC8zSl9hnfXKkgaNQ+NCNSyoWvuLCJjXdJNX6bHg12aGpAsGLLK3bRuZrrAwGzpR8ok5KRQ0+ic
wgnwDOG8vvVXrPkAqoGQokoPtLdTwdtlBMaGalE4GiijzxarWT4i8nf1G6pg7CNhE2jL7g9bYH0U
xtxO3Chkpae3YQCOocXt9dqOrTgGpNcbLPniQfAljcOf5y4IpcrNDB6036EX3IQBBVJrVK+JKvtb
uWNvdN3ThenJDPNkmW2EcJDoipXi8LzAL2bpO25OlTk9hbicz4I4yKv5KxufWqgUBQTEEsw4ngqW
3+yOlqRBeOyjNKJcL55p6BQd/jV4+nb4OGO9bfMhq5c73ELmK9C2fyG/BHrhKJP3FRyv4mrOEdER
4aIC7/PprD41BlS2NMqa9FAFYmQIlAE5/fqmIaVnW5wPAX24AsR19Mlec3FZlQpnM6yvGHzcYf8E
kW93wxKbJlS9Mf+eQ8pkOwzWh4EQNSE0tJnkNvSZThVIKKGdh5/2hrypJXmK+n1/u3ixljPt4Tqp
MTI78vHWXyn1tIln5THBjrM8DTenlbeBhQBx19acatDgko1YA2BtEFWU3r7mG2ZJe5BvVQz/QTJ5
FMOaTpRfk22ZTBWkImGW/4UtnXGLs1gdrSCDc3kXs48zbM3PfywLb2Elpbt3ubqEdHW9EoBAsF5P
1Rq31wAm2He673Z47X1nlO6d5dnahe8Jhyj+vpNYnzYpAoz/7+HLFFq7hGbZAs0YbL4EiG0BMCpC
0crSiTsjpBL+hJi2PEwQRWAiMa7y+U7GzFATm7w1+L5ariwXjh2I9Z/mJKBkdRNs9U4jiztZO5/a
4hWSozTQZZvuRuWVlm6u4QxoGpqsx/wtwf0SIkEumnTo/+q07b5PrvtmKsnLjE4Ei8/YlDhOKHbS
qS3rRGrXpauaoNl14NUMBFu72VCI5cv9fQhpJCy19rUzZgsxFxZppOhmLQpybCE5alty6deDJO4Z
F1tzKxnbpXWaMmBWNByJEbpaSIlRc2onUxaq5BpLijh15shnPxX8iFEE3xXMTV6Unr2xRc8lFmTx
R5GipDUPVtCDHE50tRJ7pCd6EIJQgA+PIOshnYfWtiVhDjDwEGIEm368Jpydr67/CdE1rm8R8Tdj
0UQdmXkYuO/Vx5gsECXafhCVL47QWR7GLVJJ9G3rYacVis5EwejALGQ2+y1YQ9lofAH5bFwCmh7G
iJksWnNJPq8napHQL2OS+Gttf6Kx0CV7Vf/juDIENimUmQD9FieIqjU38mH0xlFwJkmlMq2vavEi
DDKDP9finZnz/ogOljnfMUQHmsuxEpd0IJfBeqMbNa/SLEVZ6fiT/T/fAlHiLh85wsG0xVDpyuQg
MxHkdmQkoe/z6QMqTGt7ZuhbYaK9n7BWRgQSZnWzGYN24vjrbem+Ioj1uh876Fxo2EJVsTvSN3t3
Eazr05bfF9EYayeMwEgbuk4BXYJ1voiAfCXxCuQUqD9ox2rfg08ZA4WxvTv6Z0fnQjE2yJbDYkHC
JgRR+WgB5C5EShAwWzbwwhZwVnt8D/oQKKJltXf+oopvvxVX1tFjB0rXUTmhX1DClU0KGRT9fClJ
PSG7z6v5IRVK8gCo7WDxxNh9RPp03TnD2Ny3SrREMg0cgWQYBfonoyCF/4uAfNLumd29ow4x9PRQ
j9+X5m+zZnAAXDjYTdoMgbCcQQgMmzvcfEM0MJPFQQKltsbyaDfCpH3y9KZJQzirU0ybnP4j4yIX
QNQlYnKfp0PCHQI+kHnjr0lRgFsEe2EezeFuTXEUSUb5WWlQ4ZiuipBK9HOIYTKEdC3X+8oU2Mb1
xFJzBvurLxhbdV0ygPcZNJbdM7Q3Io6LyT3D7cJrSsvbnHpeRt6H0cs70Ca88BLRddagab3IyiGs
D4Ctjq/WUeqPSml8798UFQ1I9gwYIE59qhvOKAeB2Y8qZAn+E011z2N4dPEflHs92uqN0FeGQTn6
B6IZe/r8PekTlNG68uwfWOOQWfXn2HPBeLv3yBA0xiEcTFsd+RD5hff/zhbIM3HVVr8f7kw4XetH
fzOeUc6VHirDTtc5LISewaj491uNw0Jb1CqASFNP8MIipgY4BCgqwGzT4d2pyovQ4nkZxcrvB4WD
zoeGzQLv1kXm39peZUM+/UT//z9efYPzLhmmvOSsDS6exDAOs9Yq/e6r3/OBIpVZHWkI/N4cOBHt
sDD7McsNRzye5usqH3YSMwB8ev1Pa4EJLchNJlG8RC6t+XqRM6wa6CsMUFOePUCHdWo8BDqtQkhr
DkhbW1qztzjHOq5cAHa/jJ/bo+XKwk2W9Ipg1Q6NRSxdhpqTbD8Ayrvhh91T34dCm7v7XXoJxKcA
Bv3nKSYPrnpGDocNnbvBuJM2zqGtGg7FnDkBVN8PXb41pFwPjD3BjNi/bfmkDW6k24gAsuPPxQtF
Y+sxg5HeHd63UYjJUdzDNWmHVfc8WxoSG4BNJmyCOM8uRVESg5XZWYwEyk73HFXcoPtlkTbs03VP
oIgDQnvkAsOoluEHo1+uXSCS20kwiPI0RhBGVrRuwI17OXugCse8yqQDxJ7HpVKYN6LoIRI1FFFF
VDPzKRTeVcY5JKSlVqqlNNrhph80cTUAE8fsQioyy3g1eBry3OGkKxiPD6gNStkrVyUy43uhqR7s
xGem9Es5jbU4GRq3XJrWtRxfLC9FZh90hDfCdUbcWnsRM7i9wa1JT0gXbDj/KAeRWanzDCSKiCFf
i4t3CIXyY8bBU4l02UlShZUNHK+7ZdsV/4VLrt1QGWwXsv19pEmhEnhivhF6ge0lPbkxvcWyNndt
uujvdIlMJwGaLWLiZT+92xSfrO7bYZsc/7u4QMqEHXVOLla/msJ2CafzYvaCYZabFmzsEFWk7WxF
qR7rxGM9P1qBP61M2vEVZflJUHLY65wm+ja96WhGmhfHt83gvkxC7JG3df+DykUyNjLeRgpj5Ukj
evB+CGmaUag7YF4ujDxw8FFzmDZAQzdPIgAcrJQ3DVHCsqP/H9t0h6+XPlfP/79iiUkJz2ywDvwB
GJXC3ZjF0KG6Qp+Xjp63YbHNN6Ocfl8r2kE6jIk4KcYANuzSeA6k61Bc4z8xUi9TX3GMrQsXK+uN
Q/jO4bC1fMw9adXk0slcFlVDUZNv+hTL92ThWKt6kiEu8qqKgFqb8uR6E7It+pt/gzRNCZ+OIvco
QxOXl6qnMJMnqvNtuDxWCitJli92H+7S2yv6gCcg8ClRUoSBPxgjewGZAdQaSNp4V9ggO2iHtcei
j/TUqrFafaPMU4kD1pctn2TTHfjXY/F0dbKdRv9/7tmq6eQp6HkvNDjkhVxiZtz0Aaum/rP5p62y
NhsCXNtusGrd+u9WeFA0LOa+im9WNrHNp8XzfXLo5h7TaNkvQ2aVaw8fecs2WRwsdJijr9sYyVNI
LfDqBI2P7jAAmxJoiJRxUvuJjCOw1DP07xac0nxhOs4we3Fx80C0XBoqhcRGC0uAl/lYvwl1L7oq
R5WHzXSThZXncgdHZdUP91u9kFAn+ki/zurtoyGt6vGWgUpjxfZHXTVys4+yn8oQkxxlszgISnTp
Uw6AqEh5er2m4fPtkSxPirpVQvXk6E2x0hbLAfuAWJIsIE2JECSIOD47XKi69AOtxS1nAoLWzlX8
2IbI3jHJitjcnHiVK66H7QjD1YhEjZKYB1l+4Sj3VP0cj/2JKqg3884sNKsFUNf6yCFf3KhKTbj1
ajy3nI4DHkIvc5V7kEUJU4E5nodbwWCdc4iOcufAycD4//6fsDdqcpgfF0OiNTd5WDbzIYVv85dK
ZGnbe3rZ3yAezzqlzAfkeMS0dN6xJBrOPhj8i4FQUbKv47HzBdeLVU7uAox2wogMaAqktim0zaFe
IOkSPZNYykQOdeRnN5tYZJ3/fh224D4Cf+dZsuajvT0TfvtHYHEWHhfS8GTLgkrp7u6Jbut0felp
pNwY7U/Eh16o5pAUJpHPzniJS15wLxEL3KVYVDGkNmjBTWwIOJ1RSqTqYsGs24xHn5dUBZmZSWgL
ef2G0bVhRwQ+baNCIEw9qfwTujS5kASi+4moYxx7GWttOuif7a8LF1UzM61cDo33McOzVtMpyRAM
Ukg6QUUogG29HQ7cJ40PR0+Oz685iZfThOVx+gXAWmRwtSeHCaSkhaZqOZs6SvWLAorEnfxCW5Vi
JqJcKKusRCVenI0kaBQ5RI0HezsQAZc/spEGvGj735TDLTfV5TSS00i1BjiuO0Y/jOLSZyN+VhKp
a3T5g49TLDotDt0ISlZxs2sSkvw2/lZYIvoGIysnOb5rYQvrcpQZB8xXu81ot954IbHkl+A+Tf+U
/KeRCGC/lMeDY6eW/TkT7GWmYxmfARsGQDiAVtDuim3k0tRDjQwKLS+lx21yOwFBWFnfM2dXLLaz
he5p8FUfqMAPvlz6cRLRSH+THeKDnDUdFLyWWhfXXZ6TxaNA7jTOhpHbXHJtmy2Wnlevpqww9Ck7
yXBHx7DNqggCRkVfWhb7
`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
Ijw7mPXRT1pNoLg2oZU/N1EGzVifLbU9Cdn5uq+lr5L4PRcM4ABxEl30L70XZTF9k00TvnkF/u2d
Zt7NqyvlCw==
`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
EnBPR1CJ+sKXHJQOWPpfUePtXRmoggIjQ+IqYHROTJFHS4eUt1oER1RJukmaXVw7jLTuRUPrPLhu
GY8TCXkJ3zcT1Fa9G8LSDdU30Dz5CZVYWTf4ovjsihy77YiML1+pjuOPzvLe6MRIa9zPGvKkO7Tk
/cwFVpYlJSoUy1a2eT4=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
VHlBH82gZ4PaxcOQ9hdpymWj9HfxT4Ke1K+CiiLK0AS8i81nLkkkoqf6+VHeFR9ggzaheL1du81L
kxAvyL1QZoBooaZ2sOpjGOzgB0aNxVkhUbsiTEYUSDMQWWdjCiC2BSSogcGDhBvqMsI0b8eTfrTr
xwgD8mjq/8y5PJ3i/T7nECkXZ+dmRABy+LW6uxW8MXb1POFZNweuT5k7xL3BCk7/spD2KYxz0efX
62Tg5vrThJ8xrNvYplPhEDELRoV6rTxP1MO/+cjNkz+0a3gmKrlbLHqPu6WX2Z0ciGsSDC0Cywsk
RAO/mh1O9NrO7KUs8Vihu6t3ayCJBpx91dVw6Q==
`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
1BIwRXmQ1SbYxYIxh3JZQie89DbZ9Eu43SQR1cngSAFAumtiqByMxsH3sJrChTtiTEFFxTo3Y35I
LGJOJgpl2BW8QU7hpA8uzVbC90t6tnuF1cf9w4Zx3JuVfbew5nMjY+rvdYadfQjUIfRwngxNVRXZ
xv9IEghiZbHmaps9PV0=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
lNJNjzPBDfPgGc+GwkA+4WmP+sjpdMoDH/HyI9njK/3GSo75c4vODsrKwhlQ91OyQEhqIWv0Kjac
l4KoBqFdFLRDorgTOJS6MMeyiQAuIPZBvNzYPax03sTAKMdvo+2Mmk79TYs/KzU7RoKgsHVRLJsX
4S2Coup21syqJfaLjEwhEWw9tSfIGg54DmONp60H0c55UxrRnERgVrEuOxEQDs4rJNo1aoeegOAQ
NAAK42TE/37PY/zybZevXypTcxKUcWPx8OtjIuPCDgam4FFEp2f916bBxj0AF070/6enmwZleDao
MRuZCcDhbvojq3Mq2lOmP6KbKYahIKTZ+9iRyw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 12384)
`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
Ijw7mPXRT1pNoLg2oZU/N1EGzVifLbU9Cdn5uq+lr5L4PRcM4ABxEl30L70XZTF9k00TvnkF/u2d
Zt7NqyvlCw==
`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
EnBPR1CJ+sKXHJQOWPpfUePtXRmoggIjQ+IqYHROTJFHS4eUt1oER1RJukmaXVw7jLTuRUPrPLhu
GY8TCXkJ3zcT1Fa9G8LSDdU30Dz5CZVYWTf4ovjsihy77YiML1+pjuOPzvLe6MRIa9zPGvKkO7Tk
/cwFVpYlJSoUy1a2eT4=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
VHlBH82gZ4PaxcOQ9hdpymWj9HfxT4Ke1K+CiiLK0AS8i81nLkkkoqf6+VHeFR9ggzaheL1du81L
kxAvyL1QZoBooaZ2sOpjGOzgB0aNxVkhUbsiTEYUSDMQWWdjCiC2BSSogcGDhBvqMsI0b8eTfrTr
xwgD8mjq/8y5PJ3i/T7nECkXZ+dmRABy+LW6uxW8MXb1POFZNweuT5k7xL3BCk7/spD2KYxz0efX
62Tg5vrThJ8xrNvYplPhEDELRoV6rTxP1MO/+cjNkz+0a3gmKrlbLHqPu6WX2Z0ciGsSDC0Cywsk
RAO/mh1O9NrO7KUs8Vihu6t3ayCJBpx91dVw6Q==
`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
1BIwRXmQ1SbYxYIxh3JZQie89DbZ9Eu43SQR1cngSAFAumtiqByMxsH3sJrChTtiTEFFxTo3Y35I
LGJOJgpl2BW8QU7hpA8uzVbC90t6tnuF1cf9w4Zx3JuVfbew5nMjY+rvdYadfQjUIfRwngxNVRXZ
xv9IEghiZbHmaps9PV0=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
lNJNjzPBDfPgGc+GwkA+4WmP+sjpdMoDH/HyI9njK/3GSo75c4vODsrKwhlQ91OyQEhqIWv0Kjac
l4KoBqFdFLRDorgTOJS6MMeyiQAuIPZBvNzYPax03sTAKMdvo+2Mmk79TYs/KzU7RoKgsHVRLJsX
4S2Coup21syqJfaLjEwhEWw9tSfIGg54DmONp60H0c55UxrRnERgVrEuOxEQDs4rJNo1aoeegOAQ
NAAK42TE/37PY/zybZevXypTcxKUcWPx8OtjIuPCDgam4FFEp2f916bBxj0AF070/6enmwZleDao
MRuZCcDhbvojq3Mq2lOmP6KbKYahIKTZ+9iRyw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 12384)
`protect data_block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`protect end_protected
|
-- 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: tc52.vhd,v 1.2 2001-10-26 16:29:56 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
package c04s03b01x01p04n01i00052pkg is
constant test: integer;
end c04s03b01x01p04n01i00052pkg;
package body c04s03b01x01p04n01i00052pkg is
constant test, test2: integer := 10; -- No_failure_here
end c04s03b01x01p04n01i00052pkg;
use work.c04s03b01x01p04n01i00052pkg.all;
ENTITY c04s03b01x01p04n01i00052ent IS
END c04s03b01x01p04n01i00052ent;
ARCHITECTURE c04s03b01x01p04n01i00052arch OF c04s03b01x01p04n01i00052ent IS
BEGIN
TESTING: PROCESS
BEGIN
assert NOT( test = 10 )
report "***PASSED TEST: c04s03b01x01p04n01i00052"
severity NOTE;
assert ( test = 10 )
report "***FAILED TEST: c04s03b01x01p04n01i00052 - A deferred constant declaration appear in a package declaration test failed."
severity ERROR;
wait;
END PROCESS TESTING;
END c04s03b01x01p04n01i00052arch;
|
-- 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: tc52.vhd,v 1.2 2001-10-26 16:29:56 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
package c04s03b01x01p04n01i00052pkg is
constant test: integer;
end c04s03b01x01p04n01i00052pkg;
package body c04s03b01x01p04n01i00052pkg is
constant test, test2: integer := 10; -- No_failure_here
end c04s03b01x01p04n01i00052pkg;
use work.c04s03b01x01p04n01i00052pkg.all;
ENTITY c04s03b01x01p04n01i00052ent IS
END c04s03b01x01p04n01i00052ent;
ARCHITECTURE c04s03b01x01p04n01i00052arch OF c04s03b01x01p04n01i00052ent IS
BEGIN
TESTING: PROCESS
BEGIN
assert NOT( test = 10 )
report "***PASSED TEST: c04s03b01x01p04n01i00052"
severity NOTE;
assert ( test = 10 )
report "***FAILED TEST: c04s03b01x01p04n01i00052 - A deferred constant declaration appear in a package declaration test failed."
severity ERROR;
wait;
END PROCESS TESTING;
END c04s03b01x01p04n01i00052arch;
|
-- 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: tc52.vhd,v 1.2 2001-10-26 16:29:56 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
package c04s03b01x01p04n01i00052pkg is
constant test: integer;
end c04s03b01x01p04n01i00052pkg;
package body c04s03b01x01p04n01i00052pkg is
constant test, test2: integer := 10; -- No_failure_here
end c04s03b01x01p04n01i00052pkg;
use work.c04s03b01x01p04n01i00052pkg.all;
ENTITY c04s03b01x01p04n01i00052ent IS
END c04s03b01x01p04n01i00052ent;
ARCHITECTURE c04s03b01x01p04n01i00052arch OF c04s03b01x01p04n01i00052ent IS
BEGIN
TESTING: PROCESS
BEGIN
assert NOT( test = 10 )
report "***PASSED TEST: c04s03b01x01p04n01i00052"
severity NOTE;
assert ( test = 10 )
report "***FAILED TEST: c04s03b01x01p04n01i00052 - A deferred constant declaration appear in a package declaration test failed."
severity ERROR;
wait;
END PROCESS TESTING;
END c04s03b01x01p04n01i00052arch;
|
----------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 17:28:56 07/06/2014
-- Design Name:
-- Module Name: wishbone_led_matrix_ctrl - Behavioral
-- Project Name:
-- Target Devices:
-- Tool versions:
-- Description:
--
-- Dependencies:
--
-- Revision:
-- Revision 0.01 - File Created
-- Additional Comments:
--
----------------------------------------------------------------------------------
----------------------------------------------------------------------------------
-- This controller is based on Glen Atkins work (http://bikerglen.com/projects/lighting/led-panel-1up/)
-- Minor modification on controller behavior to adapt to wishbone bus
-- Major modification on coding style to meet XST guidelines
----------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
use IEEE.NUMERIC_STD.ALL;
-- Uncomment the following library declaration if using
-- arithmetic functions with Signed or Unsigned values
--use IEEE.NUMERIC_STD.ALL;
library work;
use work.logi_utils_pack.all ;
use work.control_pack.all ;
-- Uncomment the following library declaration if instantiating
-- any Xilinx primitives in this code.
--library UNISIM;
--use UNISIM.VComponents.all;
entity wishbone_led_matrix_ctrl is
generic(wb_size : positive := 16;
clk_div : positive := 10;
-- TODO: nb_panels is untested, still need to be validated
nb_panels : positive := 1 ;
bits_per_color : INTEGER RANGE 1 TO 4 := 4 ;
expose_step_cycle : positive := 1910
);
port(
-- Syscon signals
gls_reset : in std_logic ;
gls_clk : in std_logic ;
-- Wishbone signals
wbs_address : in std_logic_vector(15 downto 0) ;
wbs_writedata : in std_logic_vector( wb_size-1 downto 0);
wbs_readdata : out std_logic_vector( wb_size-1 downto 0);
wbs_strobe : in std_logic ;
wbs_cycle : in std_logic ;
wbs_write : in std_logic ;
wbs_ack : out std_logic;
SCLK_OUT : out std_logic ;
BLANK_OUT : out std_logic ;
LATCH_OUT : out std_logic ;
A_OUT : out std_logic_vector(3 downto 0);
R_out : out std_logic_vector(1 downto 0);
G_out : out std_logic_vector(1 downto 0);
B_out : out std_logic_vector(1 downto 0)
);
end wishbone_led_matrix_ctrl;
architecture Behavioral of wishbone_led_matrix_ctrl is
signal read_ack : std_logic ;
signal write_ack, write_pixel: std_logic ;
signal pixel_addr : std_logic_vector((nbit(32*32*nb_panels))-1 downto 0);
begin
-- wishbone related logic
wbs_ack <= read_ack or write_ack;
write_bloc : process(gls_clk,gls_reset)
begin
if gls_reset = '1' then
write_ack <= '0';
elsif rising_edge(gls_clk) then
if ((wbs_strobe and wbs_write and wbs_cycle) = '1' ) then
write_ack <= '1';
else
write_ack <= '0';
end if;
end if;
end process write_bloc;
read_bloc : process(gls_clk, gls_reset)
begin
if gls_reset = '1' then
elsif rising_edge(gls_clk) then
if (wbs_strobe = '1' and wbs_write = '0' and wbs_cycle = '1' ) then
read_ack <= '1';
else
read_ack <= '0';
end if;
end if;
end process read_bloc;
-- ram buffer instanciation
write_pixel <= wbs_strobe and wbs_write and wbs_cycle ;
pixel_addr <= wbs_address(pixel_addr'high downto 0);
matrix_ctrl0 : rgb_32_32_matrix_ctrl
generic map(
clk_div => clk_div,
nb_panels => nb_panels,
expose_step_cycle => expose_step_cycle,
bits_per_color => bits_per_color
)
port map(
clk => gls_clk, reset => gls_reset,
pixel_addr => pixel_addr,
pixel_value_in => wbs_writedata((bits_per_color*3)-1 downto 0),
pixel_value_out => wbs_readdata((bits_per_color*3)-1 downto 0),
write_pixel => write_pixel,
SCLK_OUT => SCLK_OUT,
BLANK_OUT => BLANK_OUT,
LATCH_OUT => LATCH_OUT,
A_OUT => A_OUT,
R_out => R_OUT,
G_out => G_OUT,
B_out => B_OUT
);
wbs_readdata (15 downto (bits_per_color*3)) <= (others => '0');
end Behavioral;
|
----------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 17:28:56 07/06/2014
-- Design Name:
-- Module Name: wishbone_led_matrix_ctrl - Behavioral
-- Project Name:
-- Target Devices:
-- Tool versions:
-- Description:
--
-- Dependencies:
--
-- Revision:
-- Revision 0.01 - File Created
-- Additional Comments:
--
----------------------------------------------------------------------------------
----------------------------------------------------------------------------------
-- This controller is based on Glen Atkins work (http://bikerglen.com/projects/lighting/led-panel-1up/)
-- Minor modification on controller behavior to adapt to wishbone bus
-- Major modification on coding style to meet XST guidelines
----------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
use IEEE.NUMERIC_STD.ALL;
-- Uncomment the following library declaration if using
-- arithmetic functions with Signed or Unsigned values
--use IEEE.NUMERIC_STD.ALL;
library work;
use work.logi_utils_pack.all ;
use work.control_pack.all ;
-- Uncomment the following library declaration if instantiating
-- any Xilinx primitives in this code.
--library UNISIM;
--use UNISIM.VComponents.all;
entity wishbone_led_matrix_ctrl is
generic(wb_size : positive := 16;
clk_div : positive := 10;
-- TODO: nb_panels is untested, still need to be validated
nb_panels : positive := 1 ;
bits_per_color : INTEGER RANGE 1 TO 4 := 4 ;
expose_step_cycle : positive := 1910
);
port(
-- Syscon signals
gls_reset : in std_logic ;
gls_clk : in std_logic ;
-- Wishbone signals
wbs_address : in std_logic_vector(15 downto 0) ;
wbs_writedata : in std_logic_vector( wb_size-1 downto 0);
wbs_readdata : out std_logic_vector( wb_size-1 downto 0);
wbs_strobe : in std_logic ;
wbs_cycle : in std_logic ;
wbs_write : in std_logic ;
wbs_ack : out std_logic;
SCLK_OUT : out std_logic ;
BLANK_OUT : out std_logic ;
LATCH_OUT : out std_logic ;
A_OUT : out std_logic_vector(3 downto 0);
R_out : out std_logic_vector(1 downto 0);
G_out : out std_logic_vector(1 downto 0);
B_out : out std_logic_vector(1 downto 0)
);
end wishbone_led_matrix_ctrl;
architecture Behavioral of wishbone_led_matrix_ctrl is
signal read_ack : std_logic ;
signal write_ack, write_pixel: std_logic ;
signal pixel_addr : std_logic_vector((nbit(32*32*nb_panels))-1 downto 0);
begin
-- wishbone related logic
wbs_ack <= read_ack or write_ack;
write_bloc : process(gls_clk,gls_reset)
begin
if gls_reset = '1' then
write_ack <= '0';
elsif rising_edge(gls_clk) then
if ((wbs_strobe and wbs_write and wbs_cycle) = '1' ) then
write_ack <= '1';
else
write_ack <= '0';
end if;
end if;
end process write_bloc;
read_bloc : process(gls_clk, gls_reset)
begin
if gls_reset = '1' then
elsif rising_edge(gls_clk) then
if (wbs_strobe = '1' and wbs_write = '0' and wbs_cycle = '1' ) then
read_ack <= '1';
else
read_ack <= '0';
end if;
end if;
end process read_bloc;
-- ram buffer instanciation
write_pixel <= wbs_strobe and wbs_write and wbs_cycle ;
pixel_addr <= wbs_address(pixel_addr'high downto 0);
matrix_ctrl0 : rgb_32_32_matrix_ctrl
generic map(
clk_div => clk_div,
nb_panels => nb_panels,
expose_step_cycle => expose_step_cycle,
bits_per_color => bits_per_color
)
port map(
clk => gls_clk, reset => gls_reset,
pixel_addr => pixel_addr,
pixel_value_in => wbs_writedata((bits_per_color*3)-1 downto 0),
pixel_value_out => wbs_readdata((bits_per_color*3)-1 downto 0),
write_pixel => write_pixel,
SCLK_OUT => SCLK_OUT,
BLANK_OUT => BLANK_OUT,
LATCH_OUT => LATCH_OUT,
A_OUT => A_OUT,
R_out => R_OUT,
G_out => G_OUT,
B_out => B_OUT
);
wbs_readdata (15 downto (bits_per_color*3)) <= (others => '0');
end Behavioral;
|
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved.
-- --------------------------------------------------------------------------------
-- Tool Version: Vivado v.2016.4 (win64) Build 1733598 Wed Dec 14 22:35:39 MST 2016
-- Date : Mon Feb 27 15:47:58 2017
-- Host : GILAMONSTER running 64-bit major release (build 9200)
-- Command : write_vhdl -force -mode synth_stub
-- c:/ZyboIP/examples/ov7670_passthrough/ov7670_passthrough.srcs/sources_1/bd/system/ip/system_clk_wiz_0_0/system_clk_wiz_0_0_stub.vhdl
-- Design : system_clk_wiz_0_0
-- Purpose : Stub declaration of top-level module interface
-- Device : xc7z010clg400-1
-- --------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
entity system_clk_wiz_0_0 is
Port (
clk_out1 : out STD_LOGIC;
resetn : in STD_LOGIC;
locked : out STD_LOGIC;
clk_in1 : in STD_LOGIC
);
end system_clk_wiz_0_0;
architecture stub of system_clk_wiz_0_0 is
attribute syn_black_box : boolean;
attribute black_box_pad_pin : string;
attribute syn_black_box of stub : architecture is true;
attribute black_box_pad_pin of stub : architecture is "clk_out1,resetn,locked,clk_in1";
begin
end;
|
-- 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: tc2051.vhd,v 1.2 2001-10-26 16:30:15 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c07s02b04x00p01n01i02051ent IS
END c07s02b04x00p01n01i02051ent;
ARCHITECTURE c07s02b04x00p01n01i02051arch OF c07s02b04x00p01n01i02051ent IS
BEGIN
TESTING: PROCESS
variable BITSTRV : BIT_VECTOR( 0 to 7 );
BEGIN
BITSTRV := BITSTRV + "01010101";
assert FALSE
report "***FAILED TEST: c07s02b04x00p01n01i02051 - The adding operators + and - are predefined for any numeric type."
severity ERROR;
wait;
END PROCESS TESTING;
END c07s02b04x00p01n01i02051arch;
|
-- 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: tc2051.vhd,v 1.2 2001-10-26 16:30:15 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c07s02b04x00p01n01i02051ent IS
END c07s02b04x00p01n01i02051ent;
ARCHITECTURE c07s02b04x00p01n01i02051arch OF c07s02b04x00p01n01i02051ent IS
BEGIN
TESTING: PROCESS
variable BITSTRV : BIT_VECTOR( 0 to 7 );
BEGIN
BITSTRV := BITSTRV + "01010101";
assert FALSE
report "***FAILED TEST: c07s02b04x00p01n01i02051 - The adding operators + and - are predefined for any numeric type."
severity ERROR;
wait;
END PROCESS TESTING;
END c07s02b04x00p01n01i02051arch;
|
-- 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: tc2051.vhd,v 1.2 2001-10-26 16:30:15 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c07s02b04x00p01n01i02051ent IS
END c07s02b04x00p01n01i02051ent;
ARCHITECTURE c07s02b04x00p01n01i02051arch OF c07s02b04x00p01n01i02051ent IS
BEGIN
TESTING: PROCESS
variable BITSTRV : BIT_VECTOR( 0 to 7 );
BEGIN
BITSTRV := BITSTRV + "01010101";
assert FALSE
report "***FAILED TEST: c07s02b04x00p01n01i02051 - The adding operators + and - are predefined for any numeric type."
severity ERROR;
wait;
END PROCESS TESTING;
END c07s02b04x00p01n01i02051arch;
|
-- This file is not intended for synthesis, is is present so that simulators
-- see a complete view of the system.
-- You may use the entity declaration from this file as the basis for a
-- component declaration in a VHDL file instantiating this entity.
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.NUMERIC_STD.all;
entity alt_dspbuilder_delay is
generic (
CLOCKPHASE : string := "1";
DELAY : positive := 1;
USE_INIT : natural := 0;
BITPATTERN : string := "00000001";
WIDTH : positive := 8
);
port (
input : in std_logic_vector(width-1 downto 0) := (others=>'0');
clock : in std_logic := '0';
sclr : in std_logic := '0';
aclr : in std_logic := '0';
output : out std_logic_vector(width-1 downto 0);
ena : in std_logic := '0'
);
end entity alt_dspbuilder_delay;
architecture rtl of alt_dspbuilder_delay is
component alt_dspbuilder_delay_GNHYCSAEGT is
generic (
CLOCKPHASE : string := "1";
DELAY : positive := 1;
USE_INIT : natural := 0;
BITPATTERN : string := "0";
WIDTH : positive := 1
);
port (
aclr : in std_logic := '0';
clock : in std_logic := '0';
ena : in std_logic := '0';
input : in std_logic_vector(1-1 downto 0) := (others=>'0');
output : out std_logic_vector(1-1 downto 0);
sclr : in std_logic := '0'
);
end component alt_dspbuilder_delay_GNHYCSAEGT;
component alt_dspbuilder_delay_GNUECIBFDH is
generic (
CLOCKPHASE : string := "1";
DELAY : positive := 1;
USE_INIT : natural := 1;
BITPATTERN : string := "0";
WIDTH : positive := 1
);
port (
aclr : in std_logic := '0';
clock : in std_logic := '0';
ena : in std_logic := '0';
input : in std_logic_vector(1-1 downto 0) := (others=>'0');
output : out std_logic_vector(1-1 downto 0);
sclr : in std_logic := '0'
);
end component alt_dspbuilder_delay_GNUECIBFDH;
component alt_dspbuilder_delay_GNVCBR7UZP is
generic (
CLOCKPHASE : string := "1";
DELAY : positive := 1;
USE_INIT : natural := 0;
BITPATTERN : string := "000000000001";
WIDTH : positive := 12
);
port (
aclr : in std_logic := '0';
clock : in std_logic := '0';
ena : in std_logic := '0';
input : in std_logic_vector(12-1 downto 0) := (others=>'0');
output : out std_logic_vector(12-1 downto 0);
sclr : in std_logic := '0'
);
end component alt_dspbuilder_delay_GNVCBR7UZP;
component alt_dspbuilder_delay_GNGQ56ZS4N is
generic (
CLOCKPHASE : string := "1";
DELAY : positive := 1;
USE_INIT : natural := 0;
BITPATTERN : string := "1";
WIDTH : positive := 1
);
port (
aclr : in std_logic := '0';
clock : in std_logic := '0';
ena : in std_logic := '0';
input : in std_logic_vector(1-1 downto 0) := (others=>'0');
output : out std_logic_vector(1-1 downto 0);
sclr : in std_logic := '0'
);
end component alt_dspbuilder_delay_GNGQ56ZS4N;
component alt_dspbuilder_delay_GNWON5MXYC is
generic (
CLOCKPHASE : string := "1";
DELAY : positive := 1;
USE_INIT : natural := 1;
BITPATTERN : string := "0000000000001010";
WIDTH : positive := 16
);
port (
aclr : in std_logic := '0';
clock : in std_logic := '0';
ena : in std_logic := '0';
input : in std_logic_vector(16-1 downto 0) := (others=>'0');
output : out std_logic_vector(16-1 downto 0);
sclr : in std_logic := '0'
);
end component alt_dspbuilder_delay_GNWON5MXYC;
begin
alt_dspbuilder_delay_GNHYCSAEGT_0: if ((CLOCKPHASE = "1") and (DELAY = 1) and (USE_INIT = 0) and (BITPATTERN = "0") and (WIDTH = 1)) generate
inst_alt_dspbuilder_delay_GNHYCSAEGT_0: alt_dspbuilder_delay_GNHYCSAEGT
generic map(CLOCKPHASE => "1", DELAY => 1, USE_INIT => 0, BITPATTERN => "0", WIDTH => 1)
port map(aclr => aclr, clock => clock, ena => ena, input => input, output => output, sclr => sclr);
end generate;
alt_dspbuilder_delay_GNUECIBFDH_1: if ((CLOCKPHASE = "1") and (DELAY = 1) and (USE_INIT = 1) and (BITPATTERN = "0") and (WIDTH = 1)) generate
inst_alt_dspbuilder_delay_GNUECIBFDH_1: alt_dspbuilder_delay_GNUECIBFDH
generic map(CLOCKPHASE => "1", DELAY => 1, USE_INIT => 1, BITPATTERN => "0", WIDTH => 1)
port map(aclr => aclr, clock => clock, ena => ena, input => input, output => output, sclr => sclr);
end generate;
alt_dspbuilder_delay_GNVCBR7UZP_2: if ((CLOCKPHASE = "1") and (DELAY = 1) and (USE_INIT = 0) and (BITPATTERN = "000000000001") and (WIDTH = 12)) generate
inst_alt_dspbuilder_delay_GNVCBR7UZP_2: alt_dspbuilder_delay_GNVCBR7UZP
generic map(CLOCKPHASE => "1", DELAY => 1, USE_INIT => 0, BITPATTERN => "000000000001", WIDTH => 12)
port map(aclr => aclr, clock => clock, ena => ena, input => input, output => output, sclr => sclr);
end generate;
alt_dspbuilder_delay_GNGQ56ZS4N_3: if ((CLOCKPHASE = "1") and (DELAY = 1) and (USE_INIT = 0) and (BITPATTERN = "1") and (WIDTH = 1)) generate
inst_alt_dspbuilder_delay_GNGQ56ZS4N_3: alt_dspbuilder_delay_GNGQ56ZS4N
generic map(CLOCKPHASE => "1", DELAY => 1, USE_INIT => 0, BITPATTERN => "1", WIDTH => 1)
port map(aclr => aclr, clock => clock, ena => ena, input => input, output => output, sclr => sclr);
end generate;
alt_dspbuilder_delay_GNWON5MXYC_4: if ((CLOCKPHASE = "1") and (DELAY = 1) and (USE_INIT = 1) and (BITPATTERN = "0000000000001010") and (WIDTH = 16)) generate
inst_alt_dspbuilder_delay_GNWON5MXYC_4: alt_dspbuilder_delay_GNWON5MXYC
generic map(CLOCKPHASE => "1", DELAY => 1, USE_INIT => 1, BITPATTERN => "0000000000001010", WIDTH => 16)
port map(aclr => aclr, clock => clock, ena => ena, input => input, output => output, sclr => sclr);
end generate;
assert not (((CLOCKPHASE = "1") and (DELAY = 1) and (USE_INIT = 0) and (BITPATTERN = "0") and (WIDTH = 1)) or ((CLOCKPHASE = "1") and (DELAY = 1) and (USE_INIT = 1) and (BITPATTERN = "0") and (WIDTH = 1)) or ((CLOCKPHASE = "1") and (DELAY = 1) and (USE_INIT = 0) and (BITPATTERN = "000000000001") and (WIDTH = 12)) or ((CLOCKPHASE = "1") and (DELAY = 1) and (USE_INIT = 0) and (BITPATTERN = "1") and (WIDTH = 1)) or ((CLOCKPHASE = "1") and (DELAY = 1) and (USE_INIT = 1) and (BITPATTERN = "0000000000001010") and (WIDTH = 16)))
report "Please run generate again" severity error;
end architecture rtl;
|
entity sub is
port ( o1 : out bit;
o2 : out real := 0.0;
i1 : in bit );
end entity;
architecture test of sub is
begin
p1: process is
begin
o1 <= '1';
o2 <= 1.0;
wait for 1 ns;
o1 <= '0';
o2 <= 0.0;
assert i1 = '1';
wait;
end process;
end architecture;
-------------------------------------------------------------------------------
entity conv2 is
end entity;
architecture test of conv2 is
type t is (zero, one);
signal x : real;
signal y : bit;
signal z : integer := 0;
signal p : real;
signal q : real := 0.0;
signal r : t;
type tmap_t is array (t) of bit;
constant tmap : tmap_t := (zero => '0', one => '1');
function table_to_bit(x : t) return bit is
begin
report "table_to_bit " & t'image(x);
return tmap(x);
end function;
function bit_to_real(b : bit) return real is
begin
report "bit_to_real " & bit'image(b);
if b = '1' then
return 1.0;
else
return 0.0;
end if;
end function;
function real_to_bit(r : real) return bit is
begin
report "real_to_bit " & real'image(r);
if r = 1.0 then
return '1';
elsif r = 0.0 then
return '0';
else
report "invalid real value " & real'image(r) severity failure;
end if;
end function;
function bit_to_int(b : bit) return integer is
begin
report "bit_to_int " & bit'image(b);
if b = '1' then
return integer'high;
else
return integer'low;
end if;
end function;
function real_to_limit(r : real) return real is
begin
report "real_to_limit " & real'image(r);
if r = 1.0 then
return real'high;
elsif r = 0.0 then
return real'low;
else
report "invalid real value " & real'image(r) severity failure;
end if;
end function;
begin
uut1: entity work.sub
port map ( bit_to_real(o1) => x,
real_to_bit(o2) => y,
i1 => real_to_bit(q) );
uut2: entity work.sub
port map ( bit_to_int(o1) => z,
real_to_limit(o2) => p,
i1 => table_to_bit(r) );
p2: process is
begin
assert x = 0.0;
assert y = '0';
assert z = integer'low;
assert p = real'low;
wait for 0 ns;
q <= 1.0;
r <= one;
assert x = 1.0;
assert y = '1';
assert z = integer'high;
assert p = real'high;
wait for 2 ns;
assert x = 0.0;
assert y = '0';
assert z = integer'low;
assert p = real'low;
wait;
end process;
end architecture;
|
----------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2009 Aeroflex Gaisler
-----------------------------------------------------------------------------
-- Entity: ahbrom
-- File: ahbrom.vhd
-- Author: Jiri Gaisler - Gaisler Research
-- Description: AHB rom. 0/1-waitstate read
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library grlib;
use grlib.amba.all;
use grlib.stdlib.all;
use grlib.devices.all;
entity ahbrom is
generic (
hindex : integer := 0;
haddr : integer := 0;
hmask : integer := 16#fff#;
pipe : integer := 0;
tech : integer := 0;
kbytes : integer := 1);
port (
rst : in std_ulogic;
clk : in std_ulogic;
ahbsi : in ahb_slv_in_type;
ahbso : out ahb_slv_out_type
);
end;
architecture rtl of ahbrom is
constant abits : integer := 9;
constant bytes : integer := 368;
constant hconfig : ahb_config_type := (
0 => ahb_device_reg ( VENDOR_GAISLER, GAISLER_AHBROM, 0, 0, 0),
4 => ahb_membar(haddr, '1', '1', hmask), others => zero32);
signal romdata : std_logic_vector(31 downto 0);
signal addr : std_logic_vector(abits-1 downto 2);
signal hsel, hready : std_ulogic;
begin
ahbso.hresp <= "00";
ahbso.hsplit <= (others => '0');
ahbso.hirq <= (others => '0');
ahbso.hconfig <= hconfig;
ahbso.hindex <= hindex;
reg : process (clk)
begin
if rising_edge(clk) then
addr <= ahbsi.haddr(abits-1 downto 2);
end if;
end process;
p0 : if pipe = 0 generate
ahbso.hrdata <= ahbdrivedata(romdata);
ahbso.hready <= '1';
end generate;
p1 : if pipe = 1 generate
reg2 : process (clk)
begin
if rising_edge(clk) then
hsel <= ahbsi.hsel(hindex) and ahbsi.htrans(1);
hready <= ahbsi.hready;
ahbso.hready <= (not rst) or (hsel and hready) or
(ahbsi.hsel(hindex) and not ahbsi.htrans(1) and ahbsi.hready);
ahbso.hrdata <= ahbdrivedata(romdata);
end if;
end process;
end generate;
comb : process (addr)
begin
case conv_integer(addr) is
when 16#00000# => romdata <= X"81D82000";
when 16#00001# => romdata <= X"03000004";
when 16#00002# => romdata <= X"821060E0";
when 16#00003# => romdata <= X"81884000";
when 16#00004# => romdata <= X"81900000";
when 16#00005# => romdata <= X"81980000";
when 16#00006# => romdata <= X"81800000";
when 16#00007# => romdata <= X"01000000";
when 16#00008# => romdata <= X"03002040";
when 16#00009# => romdata <= X"8210600F";
when 16#0000A# => romdata <= X"C2A00040";
when 16#0000B# => romdata <= X"87444000";
when 16#0000C# => romdata <= X"8608E01F";
when 16#0000D# => romdata <= X"88100000";
when 16#0000E# => romdata <= X"8A100000";
when 16#0000F# => romdata <= X"8C100000";
when 16#00010# => romdata <= X"8E100000";
when 16#00011# => romdata <= X"A0100000";
when 16#00012# => romdata <= X"A2100000";
when 16#00013# => romdata <= X"A4100000";
when 16#00014# => romdata <= X"A6100000";
when 16#00015# => romdata <= X"A8100000";
when 16#00016# => romdata <= X"AA100000";
when 16#00017# => romdata <= X"AC100000";
when 16#00018# => romdata <= X"AE100000";
when 16#00019# => romdata <= X"90100000";
when 16#0001A# => romdata <= X"92100000";
when 16#0001B# => romdata <= X"94100000";
when 16#0001C# => romdata <= X"96100000";
when 16#0001D# => romdata <= X"98100000";
when 16#0001E# => romdata <= X"9A100000";
when 16#0001F# => romdata <= X"9C100000";
when 16#00020# => romdata <= X"9E100000";
when 16#00021# => romdata <= X"86A0E001";
when 16#00022# => romdata <= X"16BFFFEF";
when 16#00023# => romdata <= X"81E00000";
when 16#00024# => romdata <= X"82102002";
when 16#00025# => romdata <= X"81904000";
when 16#00026# => romdata <= X"03000004";
when 16#00027# => romdata <= X"821060E0";
when 16#00028# => romdata <= X"81884000";
when 16#00029# => romdata <= X"01000000";
when 16#0002A# => romdata <= X"01000000";
when 16#0002B# => romdata <= X"01000000";
when 16#0002C# => romdata <= X"83480000";
when 16#0002D# => romdata <= X"8330600C";
when 16#0002E# => romdata <= X"80886001";
when 16#0002F# => romdata <= X"02800019";
when 16#00030# => romdata <= X"01000000";
when 16#00031# => romdata <= X"07000000";
when 16#00032# => romdata <= X"8610E118";
when 16#00033# => romdata <= X"C108C000";
when 16#00034# => romdata <= X"C118C000";
when 16#00035# => romdata <= X"C518C000";
when 16#00036# => romdata <= X"C918C000";
when 16#00037# => romdata <= X"CD18E008";
when 16#00038# => romdata <= X"D118C000";
when 16#00039# => romdata <= X"D518C000";
when 16#0003A# => romdata <= X"D918C000";
when 16#0003B# => romdata <= X"DD18C000";
when 16#0003C# => romdata <= X"E118C000";
when 16#0003D# => romdata <= X"E518C000";
when 16#0003E# => romdata <= X"E918C000";
when 16#0003F# => romdata <= X"ED18C000";
when 16#00040# => romdata <= X"F118C000";
when 16#00041# => romdata <= X"F518C000";
when 16#00042# => romdata <= X"F918C000";
when 16#00043# => romdata <= X"10800005";
when 16#00044# => romdata <= X"FD18C000";
when 16#00045# => romdata <= X"01000000";
when 16#00046# => romdata <= X"00000000";
when 16#00047# => romdata <= X"00000000";
when 16#00048# => romdata <= X"05000008";
when 16#00049# => romdata <= X"82100000";
when 16#0004A# => romdata <= X"3D1003FF";
when 16#0004B# => romdata <= X"BC17A3E0";
when 16#0004C# => romdata <= X"BC278001";
when 16#0004D# => romdata <= X"9C27A060";
when 16#0004E# => romdata <= X"03100000";
when 16#0004F# => romdata <= X"81C04000";
when 16#00050# => romdata <= X"01000000";
when 16#00051# => romdata <= X"01000000";
when 16#00052# => romdata <= X"01000000";
when 16#00053# => romdata <= X"01000000";
when 16#00054# => romdata <= X"01000000";
when 16#00055# => romdata <= X"01000000";
when 16#00056# => romdata <= X"01000000";
when 16#00057# => romdata <= X"01000000";
when 16#00058# => romdata <= X"00000000";
when 16#00059# => romdata <= X"00000000";
when 16#0005A# => romdata <= X"00000000";
when 16#0005B# => romdata <= X"00000000";
when 16#0005C# => romdata <= X"00000000";
when others => romdata <= (others => '-');
end case;
end process;
-- pragma translate_off
bootmsg : report_version
generic map ("ahbrom" & tost(hindex) &
": 32-bit AHB ROM Module, " & tost(bytes/4) & " words, " & tost(abits-2) & " address bits" );
-- pragma translate_on
end;
|
----------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2009 Aeroflex Gaisler
-----------------------------------------------------------------------------
-- Entity: ahbrom
-- File: ahbrom.vhd
-- Author: Jiri Gaisler - Gaisler Research
-- Description: AHB rom. 0/1-waitstate read
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library grlib;
use grlib.amba.all;
use grlib.stdlib.all;
use grlib.devices.all;
entity ahbrom is
generic (
hindex : integer := 0;
haddr : integer := 0;
hmask : integer := 16#fff#;
pipe : integer := 0;
tech : integer := 0;
kbytes : integer := 1);
port (
rst : in std_ulogic;
clk : in std_ulogic;
ahbsi : in ahb_slv_in_type;
ahbso : out ahb_slv_out_type
);
end;
architecture rtl of ahbrom is
constant abits : integer := 9;
constant bytes : integer := 368;
constant hconfig : ahb_config_type := (
0 => ahb_device_reg ( VENDOR_GAISLER, GAISLER_AHBROM, 0, 0, 0),
4 => ahb_membar(haddr, '1', '1', hmask), others => zero32);
signal romdata : std_logic_vector(31 downto 0);
signal addr : std_logic_vector(abits-1 downto 2);
signal hsel, hready : std_ulogic;
begin
ahbso.hresp <= "00";
ahbso.hsplit <= (others => '0');
ahbso.hirq <= (others => '0');
ahbso.hconfig <= hconfig;
ahbso.hindex <= hindex;
reg : process (clk)
begin
if rising_edge(clk) then
addr <= ahbsi.haddr(abits-1 downto 2);
end if;
end process;
p0 : if pipe = 0 generate
ahbso.hrdata <= ahbdrivedata(romdata);
ahbso.hready <= '1';
end generate;
p1 : if pipe = 1 generate
reg2 : process (clk)
begin
if rising_edge(clk) then
hsel <= ahbsi.hsel(hindex) and ahbsi.htrans(1);
hready <= ahbsi.hready;
ahbso.hready <= (not rst) or (hsel and hready) or
(ahbsi.hsel(hindex) and not ahbsi.htrans(1) and ahbsi.hready);
ahbso.hrdata <= ahbdrivedata(romdata);
end if;
end process;
end generate;
comb : process (addr)
begin
case conv_integer(addr) is
when 16#00000# => romdata <= X"81D82000";
when 16#00001# => romdata <= X"03000004";
when 16#00002# => romdata <= X"821060E0";
when 16#00003# => romdata <= X"81884000";
when 16#00004# => romdata <= X"81900000";
when 16#00005# => romdata <= X"81980000";
when 16#00006# => romdata <= X"81800000";
when 16#00007# => romdata <= X"01000000";
when 16#00008# => romdata <= X"03002040";
when 16#00009# => romdata <= X"8210600F";
when 16#0000A# => romdata <= X"C2A00040";
when 16#0000B# => romdata <= X"87444000";
when 16#0000C# => romdata <= X"8608E01F";
when 16#0000D# => romdata <= X"88100000";
when 16#0000E# => romdata <= X"8A100000";
when 16#0000F# => romdata <= X"8C100000";
when 16#00010# => romdata <= X"8E100000";
when 16#00011# => romdata <= X"A0100000";
when 16#00012# => romdata <= X"A2100000";
when 16#00013# => romdata <= X"A4100000";
when 16#00014# => romdata <= X"A6100000";
when 16#00015# => romdata <= X"A8100000";
when 16#00016# => romdata <= X"AA100000";
when 16#00017# => romdata <= X"AC100000";
when 16#00018# => romdata <= X"AE100000";
when 16#00019# => romdata <= X"90100000";
when 16#0001A# => romdata <= X"92100000";
when 16#0001B# => romdata <= X"94100000";
when 16#0001C# => romdata <= X"96100000";
when 16#0001D# => romdata <= X"98100000";
when 16#0001E# => romdata <= X"9A100000";
when 16#0001F# => romdata <= X"9C100000";
when 16#00020# => romdata <= X"9E100000";
when 16#00021# => romdata <= X"86A0E001";
when 16#00022# => romdata <= X"16BFFFEF";
when 16#00023# => romdata <= X"81E00000";
when 16#00024# => romdata <= X"82102002";
when 16#00025# => romdata <= X"81904000";
when 16#00026# => romdata <= X"03000004";
when 16#00027# => romdata <= X"821060E0";
when 16#00028# => romdata <= X"81884000";
when 16#00029# => romdata <= X"01000000";
when 16#0002A# => romdata <= X"01000000";
when 16#0002B# => romdata <= X"01000000";
when 16#0002C# => romdata <= X"83480000";
when 16#0002D# => romdata <= X"8330600C";
when 16#0002E# => romdata <= X"80886001";
when 16#0002F# => romdata <= X"02800019";
when 16#00030# => romdata <= X"01000000";
when 16#00031# => romdata <= X"07000000";
when 16#00032# => romdata <= X"8610E118";
when 16#00033# => romdata <= X"C108C000";
when 16#00034# => romdata <= X"C118C000";
when 16#00035# => romdata <= X"C518C000";
when 16#00036# => romdata <= X"C918C000";
when 16#00037# => romdata <= X"CD18E008";
when 16#00038# => romdata <= X"D118C000";
when 16#00039# => romdata <= X"D518C000";
when 16#0003A# => romdata <= X"D918C000";
when 16#0003B# => romdata <= X"DD18C000";
when 16#0003C# => romdata <= X"E118C000";
when 16#0003D# => romdata <= X"E518C000";
when 16#0003E# => romdata <= X"E918C000";
when 16#0003F# => romdata <= X"ED18C000";
when 16#00040# => romdata <= X"F118C000";
when 16#00041# => romdata <= X"F518C000";
when 16#00042# => romdata <= X"F918C000";
when 16#00043# => romdata <= X"10800005";
when 16#00044# => romdata <= X"FD18C000";
when 16#00045# => romdata <= X"01000000";
when 16#00046# => romdata <= X"00000000";
when 16#00047# => romdata <= X"00000000";
when 16#00048# => romdata <= X"05000008";
when 16#00049# => romdata <= X"82100000";
when 16#0004A# => romdata <= X"3D1003FF";
when 16#0004B# => romdata <= X"BC17A3E0";
when 16#0004C# => romdata <= X"BC278001";
when 16#0004D# => romdata <= X"9C27A060";
when 16#0004E# => romdata <= X"03100000";
when 16#0004F# => romdata <= X"81C04000";
when 16#00050# => romdata <= X"01000000";
when 16#00051# => romdata <= X"01000000";
when 16#00052# => romdata <= X"01000000";
when 16#00053# => romdata <= X"01000000";
when 16#00054# => romdata <= X"01000000";
when 16#00055# => romdata <= X"01000000";
when 16#00056# => romdata <= X"01000000";
when 16#00057# => romdata <= X"01000000";
when 16#00058# => romdata <= X"00000000";
when 16#00059# => romdata <= X"00000000";
when 16#0005A# => romdata <= X"00000000";
when 16#0005B# => romdata <= X"00000000";
when 16#0005C# => romdata <= X"00000000";
when others => romdata <= (others => '-');
end case;
end process;
-- pragma translate_off
bootmsg : report_version
generic map ("ahbrom" & tost(hindex) &
": 32-bit AHB ROM Module, " & tost(bytes/4) & " words, " & tost(abits-2) & " address bits" );
-- pragma translate_on
end;
|
----------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2009 Aeroflex Gaisler
-----------------------------------------------------------------------------
-- Entity: ahbrom
-- File: ahbrom.vhd
-- Author: Jiri Gaisler - Gaisler Research
-- Description: AHB rom. 0/1-waitstate read
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library grlib;
use grlib.amba.all;
use grlib.stdlib.all;
use grlib.devices.all;
entity ahbrom is
generic (
hindex : integer := 0;
haddr : integer := 0;
hmask : integer := 16#fff#;
pipe : integer := 0;
tech : integer := 0;
kbytes : integer := 1);
port (
rst : in std_ulogic;
clk : in std_ulogic;
ahbsi : in ahb_slv_in_type;
ahbso : out ahb_slv_out_type
);
end;
architecture rtl of ahbrom is
constant abits : integer := 9;
constant bytes : integer := 368;
constant hconfig : ahb_config_type := (
0 => ahb_device_reg ( VENDOR_GAISLER, GAISLER_AHBROM, 0, 0, 0),
4 => ahb_membar(haddr, '1', '1', hmask), others => zero32);
signal romdata : std_logic_vector(31 downto 0);
signal addr : std_logic_vector(abits-1 downto 2);
signal hsel, hready : std_ulogic;
begin
ahbso.hresp <= "00";
ahbso.hsplit <= (others => '0');
ahbso.hirq <= (others => '0');
ahbso.hconfig <= hconfig;
ahbso.hindex <= hindex;
reg : process (clk)
begin
if rising_edge(clk) then
addr <= ahbsi.haddr(abits-1 downto 2);
end if;
end process;
p0 : if pipe = 0 generate
ahbso.hrdata <= ahbdrivedata(romdata);
ahbso.hready <= '1';
end generate;
p1 : if pipe = 1 generate
reg2 : process (clk)
begin
if rising_edge(clk) then
hsel <= ahbsi.hsel(hindex) and ahbsi.htrans(1);
hready <= ahbsi.hready;
ahbso.hready <= (not rst) or (hsel and hready) or
(ahbsi.hsel(hindex) and not ahbsi.htrans(1) and ahbsi.hready);
ahbso.hrdata <= ahbdrivedata(romdata);
end if;
end process;
end generate;
comb : process (addr)
begin
case conv_integer(addr) is
when 16#00000# => romdata <= X"81D82000";
when 16#00001# => romdata <= X"03000004";
when 16#00002# => romdata <= X"821060E0";
when 16#00003# => romdata <= X"81884000";
when 16#00004# => romdata <= X"81900000";
when 16#00005# => romdata <= X"81980000";
when 16#00006# => romdata <= X"81800000";
when 16#00007# => romdata <= X"01000000";
when 16#00008# => romdata <= X"03002040";
when 16#00009# => romdata <= X"8210600F";
when 16#0000A# => romdata <= X"C2A00040";
when 16#0000B# => romdata <= X"87444000";
when 16#0000C# => romdata <= X"8608E01F";
when 16#0000D# => romdata <= X"88100000";
when 16#0000E# => romdata <= X"8A100000";
when 16#0000F# => romdata <= X"8C100000";
when 16#00010# => romdata <= X"8E100000";
when 16#00011# => romdata <= X"A0100000";
when 16#00012# => romdata <= X"A2100000";
when 16#00013# => romdata <= X"A4100000";
when 16#00014# => romdata <= X"A6100000";
when 16#00015# => romdata <= X"A8100000";
when 16#00016# => romdata <= X"AA100000";
when 16#00017# => romdata <= X"AC100000";
when 16#00018# => romdata <= X"AE100000";
when 16#00019# => romdata <= X"90100000";
when 16#0001A# => romdata <= X"92100000";
when 16#0001B# => romdata <= X"94100000";
when 16#0001C# => romdata <= X"96100000";
when 16#0001D# => romdata <= X"98100000";
when 16#0001E# => romdata <= X"9A100000";
when 16#0001F# => romdata <= X"9C100000";
when 16#00020# => romdata <= X"9E100000";
when 16#00021# => romdata <= X"86A0E001";
when 16#00022# => romdata <= X"16BFFFEF";
when 16#00023# => romdata <= X"81E00000";
when 16#00024# => romdata <= X"82102002";
when 16#00025# => romdata <= X"81904000";
when 16#00026# => romdata <= X"03000004";
when 16#00027# => romdata <= X"821060E0";
when 16#00028# => romdata <= X"81884000";
when 16#00029# => romdata <= X"01000000";
when 16#0002A# => romdata <= X"01000000";
when 16#0002B# => romdata <= X"01000000";
when 16#0002C# => romdata <= X"83480000";
when 16#0002D# => romdata <= X"8330600C";
when 16#0002E# => romdata <= X"80886001";
when 16#0002F# => romdata <= X"02800019";
when 16#00030# => romdata <= X"01000000";
when 16#00031# => romdata <= X"07000000";
when 16#00032# => romdata <= X"8610E118";
when 16#00033# => romdata <= X"C108C000";
when 16#00034# => romdata <= X"C118C000";
when 16#00035# => romdata <= X"C518C000";
when 16#00036# => romdata <= X"C918C000";
when 16#00037# => romdata <= X"CD18E008";
when 16#00038# => romdata <= X"D118C000";
when 16#00039# => romdata <= X"D518C000";
when 16#0003A# => romdata <= X"D918C000";
when 16#0003B# => romdata <= X"DD18C000";
when 16#0003C# => romdata <= X"E118C000";
when 16#0003D# => romdata <= X"E518C000";
when 16#0003E# => romdata <= X"E918C000";
when 16#0003F# => romdata <= X"ED18C000";
when 16#00040# => romdata <= X"F118C000";
when 16#00041# => romdata <= X"F518C000";
when 16#00042# => romdata <= X"F918C000";
when 16#00043# => romdata <= X"10800005";
when 16#00044# => romdata <= X"FD18C000";
when 16#00045# => romdata <= X"01000000";
when 16#00046# => romdata <= X"00000000";
when 16#00047# => romdata <= X"00000000";
when 16#00048# => romdata <= X"05000008";
when 16#00049# => romdata <= X"82100000";
when 16#0004A# => romdata <= X"3D1003FF";
when 16#0004B# => romdata <= X"BC17A3E0";
when 16#0004C# => romdata <= X"BC278001";
when 16#0004D# => romdata <= X"9C27A060";
when 16#0004E# => romdata <= X"03100000";
when 16#0004F# => romdata <= X"81C04000";
when 16#00050# => romdata <= X"01000000";
when 16#00051# => romdata <= X"01000000";
when 16#00052# => romdata <= X"01000000";
when 16#00053# => romdata <= X"01000000";
when 16#00054# => romdata <= X"01000000";
when 16#00055# => romdata <= X"01000000";
when 16#00056# => romdata <= X"01000000";
when 16#00057# => romdata <= X"01000000";
when 16#00058# => romdata <= X"00000000";
when 16#00059# => romdata <= X"00000000";
when 16#0005A# => romdata <= X"00000000";
when 16#0005B# => romdata <= X"00000000";
when 16#0005C# => romdata <= X"00000000";
when others => romdata <= (others => '-');
end case;
end process;
-- pragma translate_off
bootmsg : report_version
generic map ("ahbrom" & tost(hindex) &
": 32-bit AHB ROM Module, " & tost(bytes/4) & " words, " & tost(abits-2) & " address bits" );
-- pragma translate_on
end;
|
--- $Id: $
-- File name: controller.vhd
-- Created: 4/7/2012
-- Author: Spencer Julian
-- Lab Section: 337-02
-- Version: 1.0 Initial Design Entry
-- Description: Controller for the USB Sniffer
LIBRARY IEEE;
USE IEEE.std_logic_1164.ALL;
USE IEEE.std_logic_unsigned.ALL;
entity controller is
port (
clk : in std_logic;
rst : in std_logic;
fifo_full : in std_logic;
decoder_instruction : in std_logic_vector(3 downto 0);
data_ready : in std_logic_vector(1 downto 0);
eop_found : in std_logic;
data_read : in std_logic;
fifo_read : out std_logic;
fifo_write : out std_logic;
intercept : out std_logic
);
end entity controller;
architecture controller_arch of controller is
type usbState is (idle,requestIntercept,prepareIntercept,doIntercept,waitTrans,writeDelay,writePrep,write,eop);
type sdState is (idle,fifoRead);
signal usb, nextUsb: usbState;
signal sd, nextSd: sdState;
signal beginSd: std_logic;
signal dr1, dr2, dr : std_logic;
signal eopCount, nexteopCount: std_logic_vector(2 downto 0);
signal writeCount, nextWriteCount : std_logic_vector(2 downto 0);
signal eop1, eop2, eopf: std_logic;
begin
GREGI: process(rst, clk)
begin
if(rst = '0') then --Reset everything
usb <= idle;
sd <= idle;
eopCount <= "000";
writeCount <= "000";
eop1 <= '0';
eop2 <= '0';
dr1 <= '0';
dr2 <= '0';
dr <= '0';
elsif(rising_edge(clk)) then --Clock edge
usb <= nextUsb; --Next states
sd <= nextSd;
eopCount <= nexteopCount;
writeCount <= nextWriteCount;
if (eop2 = '0' and eop1 = '1') then --Edge detector on our eop signal, only want to do things once.
eopf <= '1';
else
eopf <= '0';
end if;
if(dr2 = '0' and dr1 = '1') then --Edge detector for the "data_read" signal, don't want to continously empty the fifo
dr <= '1';
else
dr <= '0';
end if;
dr2 <= dr1;
dr1 <= data_read;
eop2 <= eop1;
eop1 <= eop_found;
end if;
end process GREGI;
NXT: process(fifo_full,decoder_instruction,data_ready,eopf,writeCount,nextWriteCount,eopCount,nexteopCount,eop_found,dr,beginSd,nextUsb,nextSd,usb,sd)
begin
nexteopCount <= eopCount;
nextWriteCount <= writeCount;
nextUsb <= usb;
case usb is --State machine 1
when idle => --Idle, waiting for PID (PIDs are inverse due to LSB first)
nexteopCount <= "000";
nextWriteCount <= "000";
if (decoder_instruction = "1101") then nextUsb <= requestIntercept;
elsif (decoder_instruction = "0011") then nextUsb <= writeDelay;
elsif (decoder_instruction = "1011") then nextUsb <= writeDelay;
elsif (decoder_instruction = "0111") then nextUsb <= writeDelay;
else nextUsb <= idle;
end if;
when requestIntercept => --if PID was a setup PID, wait for "IN" PID
nexteopCount <= "000";
nextWriteCount <= "000";
if (decoder_instruction = "1001") then nextUsb <= prepareIntercept;
else nextUsb <= requestIntercept;
end if;
when prepareIntercept => --Now if the PID is an "IN" PID, wait for "Data" PID
nexteopCount <= "000";
nextWriteCount <= "000";
if (decoder_instruction = "1011") then nextUsb <= doIntercept;
else nextUsb <= prepareIntercept;
end if;
when doIntercept => --Once we see Data PID, we know we're transmitting data, so prepare to intercept.
nexteopCount <= "000";
nextWriteCount <= "000";
nextUsb <= waitTrans;
when waitTrans => -- Now we need to wait until we see the appropriate number of "eop's" so we know we're done with the device descriptor packet.
nextWriteCount <= "000";
if (eopCount = "101") then nexteopCount <= "000";
nextUsb <= idle;
elsif (eopCount < 5 and eopf = '1') then nexteopCount <= eopCount + 1;
nextUsb <= waitTrans;
else nexteopCount <= eopCount;
nextUsb <= waitTrans;
end if;
when writeDelay => --This delays the write state due to internal delays
nexteopCount <= "000";
if (data_ready = "01") then nextUsb <= writePrep;
else nextUsb <= writeDelay;
end if;
when writePrep => --This delays the write state until we have a full byte to write
nexteopCount <= "000";
if (data_ready = "11") then nextUsb <= write;
else nextUsb <= writePrep;
end if;
when write => --This allows bytes to enter the fifo until it's full or we see an eop.
nexteopCount <= "000";
nextWriteCount <= writeCount + 1;
if (eop_found = '1' or fifo_full = '1' or writeCount = 7) then nextUsb <= eop;
else nextUsb <= writeDelay;
end if;
when eop => --Once we see an eop (or a full fifo), begin the next state machine (below).
nextWriteCount <= "000";
nexteopCount <= "000";
nextUsb <= idle;
when others => nextUsb <= idle;
end case;
nextSd <= sd;
case sd is --Next state machine
when idle => --If data hasn't been read by the sd controller yet, just sit there.
if (dr = '1') then nextSd <= fifoRead;
else nextSd <= idle;
end if;
when fifoRead => --Otherwise, increment the fifo's counter.
nextSd <= idle;
when others => nextSd <= idle;
end case;
end process NXT;
OUTL: process(usb, nextUsb, sd, nextSd) --This process just outputs specific values. It's seperated for readability. The states are described above.
begin
fifo_write <= '0';
intercept <= '0';
beginSd <= '0';
case usb is --fifo_write, intercept, beginSd, lockCode
when idle =>
fifo_write <= '0';
intercept <= '0';
beginSd <= '0';
when requestIntercept =>
fifo_write <= '0';
intercept <= '0';
beginSd <= '0';
when prepareIntercept =>
fifo_write <= '0';
intercept <= '0';
beginSd <= '0';
when doIntercept =>
fifo_write <= '0';
intercept <= '1';
beginSd <= '0';
when waitTrans =>
fifo_write <= '0';
intercept <= '0';
beginSd <= '0';
when writeDelay =>
fifo_write <= '0';
intercept <= '0';
beginSd <= '0';
when writePrep =>
fifo_write <= '0';
intercept <= '0';
beginSd <= '0';
when write =>
fifo_write <= '1';
intercept <= '0';
beginSd <= '0';
when eop =>
fifo_write <= '0';
intercept <= '0';
beginSd <= '1';
--when others => nextUsb <= idle;
end case;
fifo_read <= '0';
case sd is --sd_enable(!), sd_clock, fifo_read, nextBitCount, gregister_read
when idle =>
fifo_read <= '0';
when fifoRead =>
fifo_read <= '1';
--when others => nextSd <= idle;
end case;
end process OUTL;
end controller_arch;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library work;
use work.reu_pkg.all;
use work.mem_bus_pkg.all;
use work.dma_bus_pkg.all;
use work.slot_bus_pkg.all;
-- Standard: 433 LUT/148 FF
-- Extended: 564 LUT/195 FF
entity reu is
generic (
g_ram_tag : std_logic_vector(7 downto 0) := X"10";
g_extended : boolean := true;
g_ram_base : unsigned(27 downto 0) := X"1000000" ); -- second (=upper 16M)
port (
clock : in std_logic;
reset : in std_logic;
-- register interface
slot_req : in t_slot_req;
slot_resp : out t_slot_resp;
-- system interface
phi2_tick : in std_logic := '0';
reu_dma_n : out std_logic := '1';
size_ctrl : in std_logic_vector(2 downto 0) := "001";
enable : in std_logic;
-- memory interface
mem_req : out t_mem_req;
mem_resp : in t_mem_resp;
dma_req : out t_dma_req;
dma_resp : in t_dma_resp );
end reu;
-- The REU is actually really simple.
-- There are 4 modes of operation, and 4 active states:
-- r = reu read, w = reu write, R = c64 read, W = c64 write
-- Copy from c64 to reu (00): Rw
-- Copy from reu to c64 (01): rW
-- Swap (10): rRwW (RrWw or rRWw or RrwW or rRwW)
-- Verify (11): rR (Rr or rR)
-- The smallest implementation is very likely when only one bit is needed to select between
-- transition options, and reducing the total number of transitions makes sense too.
architecture gideon of reu is
type t_state is (idle, do_read_c64, do_write_c64, do_read_reu, do_write_reu, check_end, delay);
signal state : t_state;
attribute fsm_encoding : string;
attribute fsm_encoding of state : signal is "one-hot";
signal io_wdatau : unsigned(7 downto 0);
signal io_rdata : std_logic_vector(7 downto 0);
signal io_write : std_logic;
signal io_read : std_logic;
signal c64_base : unsigned(15 downto 0) := (others => '0');
signal reu_base : unsigned(23 downto 0) := (others => '0');
signal length_reg : unsigned(23 downto 0) := (others => '1');
signal c64_addr : unsigned(15 downto 0) := (others => '0');
signal reu_addr : unsigned(23 downto 0) := (others => '0');
signal count : unsigned(23 downto 0) := (others => '1');
signal c64_req : std_logic;
signal c64_rack : std_logic;
signal c64_dack : std_logic;
signal reu_req : std_logic;
signal reu_rack : std_logic;
signal reu_dack : std_logic;
signal glob_rwn : std_logic;
signal write_ff00 : std_logic;
signal masked_reu_addr : unsigned(23 downto 0);
signal mask : unsigned(7 downto 0);
signal c64_read_reg : std_logic_vector(7 downto 0) := (others => '0');
signal reu_read_reg : std_logic_vector(7 downto 0) := (others => '0');
signal verify_error : std_logic;
signal trans_done : std_logic;
signal irq_pend : std_logic;
signal reserved : std_logic_vector(2 downto 0);
type t_control is record
irq_en : std_logic;
irq_done : std_logic;
irq_error : std_logic;
fix_reu : std_logic;
fix_c64 : std_logic;
end record;
type t_command is record
execute : std_logic;
autoload : std_logic;
ff00 : std_logic;
mode : std_logic_vector(1 downto 0);
end record;
constant c_control_def : t_control := (others => '0');
constant c_command_def : t_command := (
mode => "00",
execute => '0',
ff00 => '1',
autoload => '0' );
signal control : t_control;
signal command : t_command;
-- signals for extended mode
signal rate_div : unsigned(7 downto 0) := (others => '0');
signal start_delay : unsigned(7 downto 0) := (others => '0');
signal ext_count : unsigned(7 downto 0) := (others => '0');
begin
write_ff00 <= '1' when slot_req.late_write='1' and slot_req.io_address=X"FF00" else '0';
with size_ctrl select mask <=
"00000001" when "000",
"00000011" when "001",
"00000111" when "010",
"00001111" when "011",
"00011111" when "100",
"00111111" when "101",
"01111111" when "110",
"11111111" when others;
masked_reu_addr(23 downto 19) <= (reu_base(23 downto 19) and mask(7 downto 3)) when not g_extended else
(reu_addr(23 downto 19) and mask(7 downto 3));
masked_reu_addr(18 downto 16) <= (reu_addr(18 downto 16) and mask(2 downto 0));
masked_reu_addr(15 downto 0) <= reu_addr(15 downto 0);
reu_rack <= '1' when mem_resp.rack_tag = g_ram_tag else '0';
reu_dack <= '1' when mem_resp.dack_tag = g_ram_tag else '0';
io_wdatau <= unsigned(slot_req.data);
-- fill mem request structure
mem_req.tag <= g_ram_tag;
mem_req.request <= reu_req;
mem_req.address <= g_ram_base(25 downto 24) & masked_reu_addr;
mem_req.read_writen <= glob_rwn;
mem_req.data <= c64_read_reg;
mem_req.size <= "00"; -- 1 byte at a time
-- fill dma request structure
dma_req.request <= c64_req;
dma_req.address <= c64_addr;
dma_req.read_writen <= glob_rwn;
dma_req.data <= reu_read_reg;
c64_rack <= dma_resp.rack;
c64_dack <= dma_resp.dack;
p_main: process(clock)
procedure next_address is
begin
if control.fix_c64='0' then
c64_addr <= c64_addr + 1;
end if;
if control.fix_reu='0' then
reu_addr <= reu_addr + 1;
end if;
if (count(15 downto 0) = 1 and not g_extended) or
(count = 1 and g_extended) then
trans_done <= '1';
else
count <= count - 1;
end if;
end procedure;
procedure transfer_end is
begin
if command.autoload='1' then
c64_addr <= c64_base;
reu_addr <= reu_base(reu_addr'range);
if g_extended then
count <= length_reg;
else
count(15 downto 0) <= length_reg(15 downto 0);
end if;
end if;
command.ff00 <= '1'; -- reset to default state
state <= idle;
end procedure;
procedure dispatch is
begin
glob_rwn <= '1'; -- we're going to read.
case command.mode is
when c_mode_toreu => -- C64 to REU
c64_req <= '1';
state <= do_read_c64;
when others => -- in all other cases, read reu first
reu_req <= '1';
state <= do_read_reu;
end case;
end procedure;
begin
if rising_edge(clock) then
if io_write='1' then --$DF00-$DF1F, decoded below in a concurrent statement
case slot_req.io_address(4 downto 0) is
when c_c64base_l => c64_base(7 downto 0) <= io_wdatau;
c64_addr <= c64_base(15 downto 8) & io_wdatau; -- half autoload bug
when c_c64base_h => c64_base(15 downto 8) <= io_wdatau;
c64_addr <= io_wdatau & c64_base(7 downto 0); -- half autoload bug
when c_reubase_l => reu_base(7 downto 0) <= io_wdatau;
reu_addr(15 downto 0) <= reu_base(15 downto 8) & io_wdatau; -- half autoload bug
when c_reubase_m => reu_base(15 downto 8) <= io_wdatau;
reu_addr(15 downto 0) <= io_wdatau & reu_base(7 downto 0); -- half autoload bug
when c_reubase_h => reu_base(23 downto 16) <= io_wdatau;
reu_addr(23 downto 16) <= io_wdatau;
when c_translen_l => length_reg(7 downto 0) <= io_wdatau;
count(15 downto 0) <= length_reg(15 downto 8) & io_wdatau; -- half autoload bug
when c_translen_h => length_reg(15 downto 8) <= io_wdatau;
count(15 downto 0) <= io_wdatau & length_reg(7 downto 0); -- half autoload bug
when c_irqmask =>
control.irq_en <= io_wdatau(7);
control.irq_done <= io_wdatau(6);
control.irq_error <= io_wdatau(5);
when c_control =>
control.fix_reu <= io_wdatau(6);
control.fix_c64 <= io_wdatau(7);
when c_command =>
command.execute <= io_wdatau(7);
reserved(2) <= io_wdatau(6);
command.autoload <= io_wdatau(5);
command.ff00 <= io_wdatau(4);
reserved(1) <= io_wdatau(3);
reserved(0) <= io_wdatau(2);
command.mode <= slot_req.data(1 downto 0);
when others =>
null;
end case;
end if;
-- extended registers
if io_write='1' and g_extended then --$DF00-$DF1F, decoded below in a concurrent statement
case slot_req.io_address(4 downto 0) is
when c_start_delay =>
start_delay <= io_wdatau;
when c_rate_div =>
rate_div <= io_wdatau;
when c_translen_x =>
length_reg(23 downto 16) <= io_wdatau;
count(23 downto 16) <= io_wdatau;
when others =>
null;
end case;
end if;
-- clear on read flags
if io_read='1' then
if slot_req.io_address(4 downto 0) = c_status then
verify_error <= '0';
trans_done <= '0';
end if;
end if;
case state is
when idle =>
reu_dma_n <= '1';
glob_rwn <= '1';
ext_count <= start_delay;
if command.execute='1' then
if (command.ff00='0' and write_ff00='1') or
(command.ff00='1') then
verify_error <= '0';
trans_done <= '0';
command.execute <= '0';
if g_extended then
state <= delay;
else
dispatch;
reu_dma_n <= '0';
end if;
end if;
end if;
when delay =>
if ext_count = 0 then
dispatch;
reu_dma_n <= '0';
elsif phi2_tick='1' then
ext_count <= ext_count - 1;
end if;
when do_read_reu =>
if reu_rack='1' then
reu_req <= '0';
end if;
if reu_dack='1' then
reu_read_reg <= mem_resp.data;
case command.mode is
when c_mode_swap | c_mode_verify =>
c64_req <= '1';
glob_rwn <= '1';
state <= do_read_c64;
when others =>
c64_req <= '1';
glob_rwn <= '0';
state <= do_write_c64;
end case;
end if;
when do_write_c64 =>
if c64_rack='1' then
c64_req <= '0';
next_address;
state <= check_end;
end if;
when do_read_c64 =>
if c64_rack='1' then
c64_req <= '0';
end if;
if c64_dack='1' then
c64_read_reg <= dma_resp.data;
case command.mode is
when c_mode_verify =>
if dma_resp.data /= reu_read_reg then
verify_error <= '1';
state <= idle;
else
next_address;
state <= check_end;
end if;
when others =>
reu_req <= '1';
glob_rwn <= '0';
state <= do_write_reu;
end case;
end if;
when do_write_reu =>
if reu_rack='1' then
reu_req <= '0';
case command.mode is
when c_mode_swap =>
c64_req <= '1';
glob_rwn <= '0';
state <= do_write_c64;
when others =>
next_address;
state <= check_end;
end case;
end if;
when check_end =>
ext_count <= rate_div;
if trans_done='1' then
transfer_end;
elsif g_extended then
state <= delay;
else
dispatch;
end if;
when others =>
null;
end case;
if reset='1' then
reu_req <= '0';
c64_req <= '0';
glob_rwn <= '1';
control <= c_control_def;
command <= c_command_def;
state <= idle;
reserved <= (others => '0');
verify_error <= '0';
trans_done <= '0';
reu_dma_n <= '1';
c64_base <= (others => '0');
reu_base <= (others => '0');
length_reg <= X"00FFFF";
c64_addr <= (others => '0');
reu_addr <= (others => '0');
count <= (others => '1');
rate_div <= (others => '0');
start_delay <= (others => '0');
rate_div <= (others => '0');
ext_count <= (others => '0');
end if;
end if;
end process;
p_read: process(slot_req, control, command, count, c64_addr, reu_addr, verify_error, trans_done, irq_pend,
c64_base, reu_base, length_reg, reserved, mask, start_delay, rate_div)
begin
io_rdata <= X"FF";
case slot_req.bus_address(4 downto 0) is
when c_status =>
io_rdata(7) <= irq_pend;
io_rdata(6) <= trans_done;
io_rdata(5) <= verify_error;
io_rdata(4) <= mask(1); -- for 256k and larger, this is set to '1'.
io_rdata(3 downto 0) <= X"0"; -- version
when c_command =>
io_rdata(7) <= command.execute;
io_rdata(6) <= reserved(2);
io_rdata(5) <= command.autoload;
io_rdata(4) <= command.ff00;
io_rdata(3 downto 2) <= reserved(1 downto 0);
io_rdata(1 downto 0) <= command.mode;
when c_irqmask =>
io_rdata(7) <= control.irq_en;
io_rdata(6) <= control.irq_done;
io_rdata(5) <= control.irq_error;
when c_control =>
io_rdata(7) <= control.fix_c64;
io_rdata(6) <= control.fix_reu;
when c_c64base_l => io_rdata <= std_logic_vector(c64_addr(7 downto 0));
when c_c64base_h => io_rdata <= std_logic_vector(c64_addr(15 downto 8));
when c_reubase_l => io_rdata <= std_logic_vector(reu_addr(7 downto 0));
when c_reubase_m => io_rdata <= std_logic_vector(reu_addr(15 downto 8));
when c_reubase_h =>
if g_extended then
io_rdata <= std_logic_vector(reu_addr(23 downto 16));
else
io_rdata <= "11111" & std_logic_vector(reu_addr(18 downto 16)); -- maximum 19 bits
end if;
when c_translen_l => io_rdata <= std_logic_vector(count(7 downto 0));
when c_translen_h => io_rdata <= std_logic_vector(count(15 downto 8));
when c_size_read => if g_extended then io_rdata <= std_logic_vector(mask); end if;
when c_start_delay => if g_extended then io_rdata <= std_logic_vector(start_delay); end if;
when c_rate_div => if g_extended then io_rdata <= std_logic_vector(rate_div); end if;
when others =>
null;
end case;
end process;
irq_pend <= control.irq_en and ((control.irq_done and trans_done) or (control.irq_error and verify_error));
slot_resp.irq <= irq_pend;
slot_resp.data <= io_rdata;
slot_resp.reg_output <= enable when slot_req.bus_address(8 downto 5)=X"8" and
slot_req.bus_address(4 downto 2)/="111" and
(state = idle)
else '0';
io_write <= (enable and slot_req.io_write) when slot_req.io_address(8 downto 5)=X"8" else '0';
io_read <= (enable and slot_req.io_read) when slot_req.io_address(8 downto 5)=X"8" else '0';
end gideon;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library work;
use work.reu_pkg.all;
use work.mem_bus_pkg.all;
use work.dma_bus_pkg.all;
use work.slot_bus_pkg.all;
-- Standard: 433 LUT/148 FF
-- Extended: 564 LUT/195 FF
entity reu is
generic (
g_ram_tag : std_logic_vector(7 downto 0) := X"10";
g_extended : boolean := true;
g_ram_base : unsigned(27 downto 0) := X"1000000" ); -- second (=upper 16M)
port (
clock : in std_logic;
reset : in std_logic;
-- register interface
slot_req : in t_slot_req;
slot_resp : out t_slot_resp;
-- system interface
phi2_tick : in std_logic := '0';
reu_dma_n : out std_logic := '1';
size_ctrl : in std_logic_vector(2 downto 0) := "001";
enable : in std_logic;
-- memory interface
mem_req : out t_mem_req;
mem_resp : in t_mem_resp;
dma_req : out t_dma_req;
dma_resp : in t_dma_resp );
end reu;
-- The REU is actually really simple.
-- There are 4 modes of operation, and 4 active states:
-- r = reu read, w = reu write, R = c64 read, W = c64 write
-- Copy from c64 to reu (00): Rw
-- Copy from reu to c64 (01): rW
-- Swap (10): rRwW (RrWw or rRWw or RrwW or rRwW)
-- Verify (11): rR (Rr or rR)
-- The smallest implementation is very likely when only one bit is needed to select between
-- transition options, and reducing the total number of transitions makes sense too.
architecture gideon of reu is
type t_state is (idle, do_read_c64, do_write_c64, do_read_reu, do_write_reu, check_end, delay);
signal state : t_state;
attribute fsm_encoding : string;
attribute fsm_encoding of state : signal is "one-hot";
signal io_wdatau : unsigned(7 downto 0);
signal io_rdata : std_logic_vector(7 downto 0);
signal io_write : std_logic;
signal io_read : std_logic;
signal c64_base : unsigned(15 downto 0) := (others => '0');
signal reu_base : unsigned(23 downto 0) := (others => '0');
signal length_reg : unsigned(23 downto 0) := (others => '1');
signal c64_addr : unsigned(15 downto 0) := (others => '0');
signal reu_addr : unsigned(23 downto 0) := (others => '0');
signal count : unsigned(23 downto 0) := (others => '1');
signal c64_req : std_logic;
signal c64_rack : std_logic;
signal c64_dack : std_logic;
signal reu_req : std_logic;
signal reu_rack : std_logic;
signal reu_dack : std_logic;
signal glob_rwn : std_logic;
signal write_ff00 : std_logic;
signal masked_reu_addr : unsigned(23 downto 0);
signal mask : unsigned(7 downto 0);
signal c64_read_reg : std_logic_vector(7 downto 0) := (others => '0');
signal reu_read_reg : std_logic_vector(7 downto 0) := (others => '0');
signal verify_error : std_logic;
signal trans_done : std_logic;
signal irq_pend : std_logic;
signal reserved : std_logic_vector(2 downto 0);
type t_control is record
irq_en : std_logic;
irq_done : std_logic;
irq_error : std_logic;
fix_reu : std_logic;
fix_c64 : std_logic;
end record;
type t_command is record
execute : std_logic;
autoload : std_logic;
ff00 : std_logic;
mode : std_logic_vector(1 downto 0);
end record;
constant c_control_def : t_control := (others => '0');
constant c_command_def : t_command := (
mode => "00",
execute => '0',
ff00 => '1',
autoload => '0' );
signal control : t_control;
signal command : t_command;
-- signals for extended mode
signal rate_div : unsigned(7 downto 0) := (others => '0');
signal start_delay : unsigned(7 downto 0) := (others => '0');
signal ext_count : unsigned(7 downto 0) := (others => '0');
begin
write_ff00 <= '1' when slot_req.late_write='1' and slot_req.io_address=X"FF00" else '0';
with size_ctrl select mask <=
"00000001" when "000",
"00000011" when "001",
"00000111" when "010",
"00001111" when "011",
"00011111" when "100",
"00111111" when "101",
"01111111" when "110",
"11111111" when others;
masked_reu_addr(23 downto 19) <= (reu_base(23 downto 19) and mask(7 downto 3)) when not g_extended else
(reu_addr(23 downto 19) and mask(7 downto 3));
masked_reu_addr(18 downto 16) <= (reu_addr(18 downto 16) and mask(2 downto 0));
masked_reu_addr(15 downto 0) <= reu_addr(15 downto 0);
reu_rack <= '1' when mem_resp.rack_tag = g_ram_tag else '0';
reu_dack <= '1' when mem_resp.dack_tag = g_ram_tag else '0';
io_wdatau <= unsigned(slot_req.data);
-- fill mem request structure
mem_req.tag <= g_ram_tag;
mem_req.request <= reu_req;
mem_req.address <= g_ram_base(25 downto 24) & masked_reu_addr;
mem_req.read_writen <= glob_rwn;
mem_req.data <= c64_read_reg;
mem_req.size <= "00"; -- 1 byte at a time
-- fill dma request structure
dma_req.request <= c64_req;
dma_req.address <= c64_addr;
dma_req.read_writen <= glob_rwn;
dma_req.data <= reu_read_reg;
c64_rack <= dma_resp.rack;
c64_dack <= dma_resp.dack;
p_main: process(clock)
procedure next_address is
begin
if control.fix_c64='0' then
c64_addr <= c64_addr + 1;
end if;
if control.fix_reu='0' then
reu_addr <= reu_addr + 1;
end if;
if (count(15 downto 0) = 1 and not g_extended) or
(count = 1 and g_extended) then
trans_done <= '1';
else
count <= count - 1;
end if;
end procedure;
procedure transfer_end is
begin
if command.autoload='1' then
c64_addr <= c64_base;
reu_addr <= reu_base(reu_addr'range);
if g_extended then
count <= length_reg;
else
count(15 downto 0) <= length_reg(15 downto 0);
end if;
end if;
command.ff00 <= '1'; -- reset to default state
state <= idle;
end procedure;
procedure dispatch is
begin
glob_rwn <= '1'; -- we're going to read.
case command.mode is
when c_mode_toreu => -- C64 to REU
c64_req <= '1';
state <= do_read_c64;
when others => -- in all other cases, read reu first
reu_req <= '1';
state <= do_read_reu;
end case;
end procedure;
begin
if rising_edge(clock) then
if io_write='1' then --$DF00-$DF1F, decoded below in a concurrent statement
case slot_req.io_address(4 downto 0) is
when c_c64base_l => c64_base(7 downto 0) <= io_wdatau;
c64_addr <= c64_base(15 downto 8) & io_wdatau; -- half autoload bug
when c_c64base_h => c64_base(15 downto 8) <= io_wdatau;
c64_addr <= io_wdatau & c64_base(7 downto 0); -- half autoload bug
when c_reubase_l => reu_base(7 downto 0) <= io_wdatau;
reu_addr(15 downto 0) <= reu_base(15 downto 8) & io_wdatau; -- half autoload bug
when c_reubase_m => reu_base(15 downto 8) <= io_wdatau;
reu_addr(15 downto 0) <= io_wdatau & reu_base(7 downto 0); -- half autoload bug
when c_reubase_h => reu_base(23 downto 16) <= io_wdatau;
reu_addr(23 downto 16) <= io_wdatau;
when c_translen_l => length_reg(7 downto 0) <= io_wdatau;
count(15 downto 0) <= length_reg(15 downto 8) & io_wdatau; -- half autoload bug
when c_translen_h => length_reg(15 downto 8) <= io_wdatau;
count(15 downto 0) <= io_wdatau & length_reg(7 downto 0); -- half autoload bug
when c_irqmask =>
control.irq_en <= io_wdatau(7);
control.irq_done <= io_wdatau(6);
control.irq_error <= io_wdatau(5);
when c_control =>
control.fix_reu <= io_wdatau(6);
control.fix_c64 <= io_wdatau(7);
when c_command =>
command.execute <= io_wdatau(7);
reserved(2) <= io_wdatau(6);
command.autoload <= io_wdatau(5);
command.ff00 <= io_wdatau(4);
reserved(1) <= io_wdatau(3);
reserved(0) <= io_wdatau(2);
command.mode <= slot_req.data(1 downto 0);
when others =>
null;
end case;
end if;
-- extended registers
if io_write='1' and g_extended then --$DF00-$DF1F, decoded below in a concurrent statement
case slot_req.io_address(4 downto 0) is
when c_start_delay =>
start_delay <= io_wdatau;
when c_rate_div =>
rate_div <= io_wdatau;
when c_translen_x =>
length_reg(23 downto 16) <= io_wdatau;
count(23 downto 16) <= io_wdatau;
when others =>
null;
end case;
end if;
-- clear on read flags
if io_read='1' then
if slot_req.io_address(4 downto 0) = c_status then
verify_error <= '0';
trans_done <= '0';
end if;
end if;
case state is
when idle =>
reu_dma_n <= '1';
glob_rwn <= '1';
ext_count <= start_delay;
if command.execute='1' then
if (command.ff00='0' and write_ff00='1') or
(command.ff00='1') then
verify_error <= '0';
trans_done <= '0';
command.execute <= '0';
if g_extended then
state <= delay;
else
dispatch;
reu_dma_n <= '0';
end if;
end if;
end if;
when delay =>
if ext_count = 0 then
dispatch;
reu_dma_n <= '0';
elsif phi2_tick='1' then
ext_count <= ext_count - 1;
end if;
when do_read_reu =>
if reu_rack='1' then
reu_req <= '0';
end if;
if reu_dack='1' then
reu_read_reg <= mem_resp.data;
case command.mode is
when c_mode_swap | c_mode_verify =>
c64_req <= '1';
glob_rwn <= '1';
state <= do_read_c64;
when others =>
c64_req <= '1';
glob_rwn <= '0';
state <= do_write_c64;
end case;
end if;
when do_write_c64 =>
if c64_rack='1' then
c64_req <= '0';
next_address;
state <= check_end;
end if;
when do_read_c64 =>
if c64_rack='1' then
c64_req <= '0';
end if;
if c64_dack='1' then
c64_read_reg <= dma_resp.data;
case command.mode is
when c_mode_verify =>
if dma_resp.data /= reu_read_reg then
verify_error <= '1';
state <= idle;
else
next_address;
state <= check_end;
end if;
when others =>
reu_req <= '1';
glob_rwn <= '0';
state <= do_write_reu;
end case;
end if;
when do_write_reu =>
if reu_rack='1' then
reu_req <= '0';
case command.mode is
when c_mode_swap =>
c64_req <= '1';
glob_rwn <= '0';
state <= do_write_c64;
when others =>
next_address;
state <= check_end;
end case;
end if;
when check_end =>
ext_count <= rate_div;
if trans_done='1' then
transfer_end;
elsif g_extended then
state <= delay;
else
dispatch;
end if;
when others =>
null;
end case;
if reset='1' then
reu_req <= '0';
c64_req <= '0';
glob_rwn <= '1';
control <= c_control_def;
command <= c_command_def;
state <= idle;
reserved <= (others => '0');
verify_error <= '0';
trans_done <= '0';
reu_dma_n <= '1';
c64_base <= (others => '0');
reu_base <= (others => '0');
length_reg <= X"00FFFF";
c64_addr <= (others => '0');
reu_addr <= (others => '0');
count <= (others => '1');
rate_div <= (others => '0');
start_delay <= (others => '0');
rate_div <= (others => '0');
ext_count <= (others => '0');
end if;
end if;
end process;
p_read: process(slot_req, control, command, count, c64_addr, reu_addr, verify_error, trans_done, irq_pend,
c64_base, reu_base, length_reg, reserved, mask, start_delay, rate_div)
begin
io_rdata <= X"FF";
case slot_req.bus_address(4 downto 0) is
when c_status =>
io_rdata(7) <= irq_pend;
io_rdata(6) <= trans_done;
io_rdata(5) <= verify_error;
io_rdata(4) <= mask(1); -- for 256k and larger, this is set to '1'.
io_rdata(3 downto 0) <= X"0"; -- version
when c_command =>
io_rdata(7) <= command.execute;
io_rdata(6) <= reserved(2);
io_rdata(5) <= command.autoload;
io_rdata(4) <= command.ff00;
io_rdata(3 downto 2) <= reserved(1 downto 0);
io_rdata(1 downto 0) <= command.mode;
when c_irqmask =>
io_rdata(7) <= control.irq_en;
io_rdata(6) <= control.irq_done;
io_rdata(5) <= control.irq_error;
when c_control =>
io_rdata(7) <= control.fix_c64;
io_rdata(6) <= control.fix_reu;
when c_c64base_l => io_rdata <= std_logic_vector(c64_addr(7 downto 0));
when c_c64base_h => io_rdata <= std_logic_vector(c64_addr(15 downto 8));
when c_reubase_l => io_rdata <= std_logic_vector(reu_addr(7 downto 0));
when c_reubase_m => io_rdata <= std_logic_vector(reu_addr(15 downto 8));
when c_reubase_h =>
if g_extended then
io_rdata <= std_logic_vector(reu_addr(23 downto 16));
else
io_rdata <= "11111" & std_logic_vector(reu_addr(18 downto 16)); -- maximum 19 bits
end if;
when c_translen_l => io_rdata <= std_logic_vector(count(7 downto 0));
when c_translen_h => io_rdata <= std_logic_vector(count(15 downto 8));
when c_size_read => if g_extended then io_rdata <= std_logic_vector(mask); end if;
when c_start_delay => if g_extended then io_rdata <= std_logic_vector(start_delay); end if;
when c_rate_div => if g_extended then io_rdata <= std_logic_vector(rate_div); end if;
when others =>
null;
end case;
end process;
irq_pend <= control.irq_en and ((control.irq_done and trans_done) or (control.irq_error and verify_error));
slot_resp.irq <= irq_pend;
slot_resp.data <= io_rdata;
slot_resp.reg_output <= enable when slot_req.bus_address(8 downto 5)=X"8" and
slot_req.bus_address(4 downto 2)/="111" and
(state = idle)
else '0';
io_write <= (enable and slot_req.io_write) when slot_req.io_address(8 downto 5)=X"8" else '0';
io_read <= (enable and slot_req.io_read) when slot_req.io_address(8 downto 5)=X"8" else '0';
end gideon;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library work;
use work.reu_pkg.all;
use work.mem_bus_pkg.all;
use work.dma_bus_pkg.all;
use work.slot_bus_pkg.all;
-- Standard: 433 LUT/148 FF
-- Extended: 564 LUT/195 FF
entity reu is
generic (
g_ram_tag : std_logic_vector(7 downto 0) := X"10";
g_extended : boolean := true;
g_ram_base : unsigned(27 downto 0) := X"1000000" ); -- second (=upper 16M)
port (
clock : in std_logic;
reset : in std_logic;
-- register interface
slot_req : in t_slot_req;
slot_resp : out t_slot_resp;
-- system interface
phi2_tick : in std_logic := '0';
reu_dma_n : out std_logic := '1';
size_ctrl : in std_logic_vector(2 downto 0) := "001";
enable : in std_logic;
-- memory interface
mem_req : out t_mem_req;
mem_resp : in t_mem_resp;
dma_req : out t_dma_req;
dma_resp : in t_dma_resp );
end reu;
-- The REU is actually really simple.
-- There are 4 modes of operation, and 4 active states:
-- r = reu read, w = reu write, R = c64 read, W = c64 write
-- Copy from c64 to reu (00): Rw
-- Copy from reu to c64 (01): rW
-- Swap (10): rRwW (RrWw or rRWw or RrwW or rRwW)
-- Verify (11): rR (Rr or rR)
-- The smallest implementation is very likely when only one bit is needed to select between
-- transition options, and reducing the total number of transitions makes sense too.
architecture gideon of reu is
type t_state is (idle, do_read_c64, do_write_c64, do_read_reu, do_write_reu, check_end, delay);
signal state : t_state;
attribute fsm_encoding : string;
attribute fsm_encoding of state : signal is "one-hot";
signal io_wdatau : unsigned(7 downto 0);
signal io_rdata : std_logic_vector(7 downto 0);
signal io_write : std_logic;
signal io_read : std_logic;
signal c64_base : unsigned(15 downto 0) := (others => '0');
signal reu_base : unsigned(23 downto 0) := (others => '0');
signal length_reg : unsigned(23 downto 0) := (others => '1');
signal c64_addr : unsigned(15 downto 0) := (others => '0');
signal reu_addr : unsigned(23 downto 0) := (others => '0');
signal count : unsigned(23 downto 0) := (others => '1');
signal c64_req : std_logic;
signal c64_rack : std_logic;
signal c64_dack : std_logic;
signal reu_req : std_logic;
signal reu_rack : std_logic;
signal reu_dack : std_logic;
signal glob_rwn : std_logic;
signal write_ff00 : std_logic;
signal masked_reu_addr : unsigned(23 downto 0);
signal mask : unsigned(7 downto 0);
signal c64_read_reg : std_logic_vector(7 downto 0) := (others => '0');
signal reu_read_reg : std_logic_vector(7 downto 0) := (others => '0');
signal verify_error : std_logic;
signal trans_done : std_logic;
signal irq_pend : std_logic;
signal reserved : std_logic_vector(2 downto 0);
type t_control is record
irq_en : std_logic;
irq_done : std_logic;
irq_error : std_logic;
fix_reu : std_logic;
fix_c64 : std_logic;
end record;
type t_command is record
execute : std_logic;
autoload : std_logic;
ff00 : std_logic;
mode : std_logic_vector(1 downto 0);
end record;
constant c_control_def : t_control := (others => '0');
constant c_command_def : t_command := (
mode => "00",
execute => '0',
ff00 => '1',
autoload => '0' );
signal control : t_control;
signal command : t_command;
-- signals for extended mode
signal rate_div : unsigned(7 downto 0) := (others => '0');
signal start_delay : unsigned(7 downto 0) := (others => '0');
signal ext_count : unsigned(7 downto 0) := (others => '0');
begin
write_ff00 <= '1' when slot_req.late_write='1' and slot_req.io_address=X"FF00" else '0';
with size_ctrl select mask <=
"00000001" when "000",
"00000011" when "001",
"00000111" when "010",
"00001111" when "011",
"00011111" when "100",
"00111111" when "101",
"01111111" when "110",
"11111111" when others;
masked_reu_addr(23 downto 19) <= (reu_base(23 downto 19) and mask(7 downto 3)) when not g_extended else
(reu_addr(23 downto 19) and mask(7 downto 3));
masked_reu_addr(18 downto 16) <= (reu_addr(18 downto 16) and mask(2 downto 0));
masked_reu_addr(15 downto 0) <= reu_addr(15 downto 0);
reu_rack <= '1' when mem_resp.rack_tag = g_ram_tag else '0';
reu_dack <= '1' when mem_resp.dack_tag = g_ram_tag else '0';
io_wdatau <= unsigned(slot_req.data);
-- fill mem request structure
mem_req.tag <= g_ram_tag;
mem_req.request <= reu_req;
mem_req.address <= g_ram_base(25 downto 24) & masked_reu_addr;
mem_req.read_writen <= glob_rwn;
mem_req.data <= c64_read_reg;
mem_req.size <= "00"; -- 1 byte at a time
-- fill dma request structure
dma_req.request <= c64_req;
dma_req.address <= c64_addr;
dma_req.read_writen <= glob_rwn;
dma_req.data <= reu_read_reg;
c64_rack <= dma_resp.rack;
c64_dack <= dma_resp.dack;
p_main: process(clock)
procedure next_address is
begin
if control.fix_c64='0' then
c64_addr <= c64_addr + 1;
end if;
if control.fix_reu='0' then
reu_addr <= reu_addr + 1;
end if;
if (count(15 downto 0) = 1 and not g_extended) or
(count = 1 and g_extended) then
trans_done <= '1';
else
count <= count - 1;
end if;
end procedure;
procedure transfer_end is
begin
if command.autoload='1' then
c64_addr <= c64_base;
reu_addr <= reu_base(reu_addr'range);
if g_extended then
count <= length_reg;
else
count(15 downto 0) <= length_reg(15 downto 0);
end if;
end if;
command.ff00 <= '1'; -- reset to default state
state <= idle;
end procedure;
procedure dispatch is
begin
glob_rwn <= '1'; -- we're going to read.
case command.mode is
when c_mode_toreu => -- C64 to REU
c64_req <= '1';
state <= do_read_c64;
when others => -- in all other cases, read reu first
reu_req <= '1';
state <= do_read_reu;
end case;
end procedure;
begin
if rising_edge(clock) then
if io_write='1' then --$DF00-$DF1F, decoded below in a concurrent statement
case slot_req.io_address(4 downto 0) is
when c_c64base_l => c64_base(7 downto 0) <= io_wdatau;
c64_addr <= c64_base(15 downto 8) & io_wdatau; -- half autoload bug
when c_c64base_h => c64_base(15 downto 8) <= io_wdatau;
c64_addr <= io_wdatau & c64_base(7 downto 0); -- half autoload bug
when c_reubase_l => reu_base(7 downto 0) <= io_wdatau;
reu_addr(15 downto 0) <= reu_base(15 downto 8) & io_wdatau; -- half autoload bug
when c_reubase_m => reu_base(15 downto 8) <= io_wdatau;
reu_addr(15 downto 0) <= io_wdatau & reu_base(7 downto 0); -- half autoload bug
when c_reubase_h => reu_base(23 downto 16) <= io_wdatau;
reu_addr(23 downto 16) <= io_wdatau;
when c_translen_l => length_reg(7 downto 0) <= io_wdatau;
count(15 downto 0) <= length_reg(15 downto 8) & io_wdatau; -- half autoload bug
when c_translen_h => length_reg(15 downto 8) <= io_wdatau;
count(15 downto 0) <= io_wdatau & length_reg(7 downto 0); -- half autoload bug
when c_irqmask =>
control.irq_en <= io_wdatau(7);
control.irq_done <= io_wdatau(6);
control.irq_error <= io_wdatau(5);
when c_control =>
control.fix_reu <= io_wdatau(6);
control.fix_c64 <= io_wdatau(7);
when c_command =>
command.execute <= io_wdatau(7);
reserved(2) <= io_wdatau(6);
command.autoload <= io_wdatau(5);
command.ff00 <= io_wdatau(4);
reserved(1) <= io_wdatau(3);
reserved(0) <= io_wdatau(2);
command.mode <= slot_req.data(1 downto 0);
when others =>
null;
end case;
end if;
-- extended registers
if io_write='1' and g_extended then --$DF00-$DF1F, decoded below in a concurrent statement
case slot_req.io_address(4 downto 0) is
when c_start_delay =>
start_delay <= io_wdatau;
when c_rate_div =>
rate_div <= io_wdatau;
when c_translen_x =>
length_reg(23 downto 16) <= io_wdatau;
count(23 downto 16) <= io_wdatau;
when others =>
null;
end case;
end if;
-- clear on read flags
if io_read='1' then
if slot_req.io_address(4 downto 0) = c_status then
verify_error <= '0';
trans_done <= '0';
end if;
end if;
case state is
when idle =>
reu_dma_n <= '1';
glob_rwn <= '1';
ext_count <= start_delay;
if command.execute='1' then
if (command.ff00='0' and write_ff00='1') or
(command.ff00='1') then
verify_error <= '0';
trans_done <= '0';
command.execute <= '0';
if g_extended then
state <= delay;
else
dispatch;
reu_dma_n <= '0';
end if;
end if;
end if;
when delay =>
if ext_count = 0 then
dispatch;
reu_dma_n <= '0';
elsif phi2_tick='1' then
ext_count <= ext_count - 1;
end if;
when do_read_reu =>
if reu_rack='1' then
reu_req <= '0';
end if;
if reu_dack='1' then
reu_read_reg <= mem_resp.data;
case command.mode is
when c_mode_swap | c_mode_verify =>
c64_req <= '1';
glob_rwn <= '1';
state <= do_read_c64;
when others =>
c64_req <= '1';
glob_rwn <= '0';
state <= do_write_c64;
end case;
end if;
when do_write_c64 =>
if c64_rack='1' then
c64_req <= '0';
next_address;
state <= check_end;
end if;
when do_read_c64 =>
if c64_rack='1' then
c64_req <= '0';
end if;
if c64_dack='1' then
c64_read_reg <= dma_resp.data;
case command.mode is
when c_mode_verify =>
if dma_resp.data /= reu_read_reg then
verify_error <= '1';
state <= idle;
else
next_address;
state <= check_end;
end if;
when others =>
reu_req <= '1';
glob_rwn <= '0';
state <= do_write_reu;
end case;
end if;
when do_write_reu =>
if reu_rack='1' then
reu_req <= '0';
case command.mode is
when c_mode_swap =>
c64_req <= '1';
glob_rwn <= '0';
state <= do_write_c64;
when others =>
next_address;
state <= check_end;
end case;
end if;
when check_end =>
ext_count <= rate_div;
if trans_done='1' then
transfer_end;
elsif g_extended then
state <= delay;
else
dispatch;
end if;
when others =>
null;
end case;
if reset='1' then
reu_req <= '0';
c64_req <= '0';
glob_rwn <= '1';
control <= c_control_def;
command <= c_command_def;
state <= idle;
reserved <= (others => '0');
verify_error <= '0';
trans_done <= '0';
reu_dma_n <= '1';
c64_base <= (others => '0');
reu_base <= (others => '0');
length_reg <= X"00FFFF";
c64_addr <= (others => '0');
reu_addr <= (others => '0');
count <= (others => '1');
rate_div <= (others => '0');
start_delay <= (others => '0');
rate_div <= (others => '0');
ext_count <= (others => '0');
end if;
end if;
end process;
p_read: process(slot_req, control, command, count, c64_addr, reu_addr, verify_error, trans_done, irq_pend,
c64_base, reu_base, length_reg, reserved, mask, start_delay, rate_div)
begin
io_rdata <= X"FF";
case slot_req.bus_address(4 downto 0) is
when c_status =>
io_rdata(7) <= irq_pend;
io_rdata(6) <= trans_done;
io_rdata(5) <= verify_error;
io_rdata(4) <= mask(1); -- for 256k and larger, this is set to '1'.
io_rdata(3 downto 0) <= X"0"; -- version
when c_command =>
io_rdata(7) <= command.execute;
io_rdata(6) <= reserved(2);
io_rdata(5) <= command.autoload;
io_rdata(4) <= command.ff00;
io_rdata(3 downto 2) <= reserved(1 downto 0);
io_rdata(1 downto 0) <= command.mode;
when c_irqmask =>
io_rdata(7) <= control.irq_en;
io_rdata(6) <= control.irq_done;
io_rdata(5) <= control.irq_error;
when c_control =>
io_rdata(7) <= control.fix_c64;
io_rdata(6) <= control.fix_reu;
when c_c64base_l => io_rdata <= std_logic_vector(c64_addr(7 downto 0));
when c_c64base_h => io_rdata <= std_logic_vector(c64_addr(15 downto 8));
when c_reubase_l => io_rdata <= std_logic_vector(reu_addr(7 downto 0));
when c_reubase_m => io_rdata <= std_logic_vector(reu_addr(15 downto 8));
when c_reubase_h =>
if g_extended then
io_rdata <= std_logic_vector(reu_addr(23 downto 16));
else
io_rdata <= "11111" & std_logic_vector(reu_addr(18 downto 16)); -- maximum 19 bits
end if;
when c_translen_l => io_rdata <= std_logic_vector(count(7 downto 0));
when c_translen_h => io_rdata <= std_logic_vector(count(15 downto 8));
when c_size_read => if g_extended then io_rdata <= std_logic_vector(mask); end if;
when c_start_delay => if g_extended then io_rdata <= std_logic_vector(start_delay); end if;
when c_rate_div => if g_extended then io_rdata <= std_logic_vector(rate_div); end if;
when others =>
null;
end case;
end process;
irq_pend <= control.irq_en and ((control.irq_done and trans_done) or (control.irq_error and verify_error));
slot_resp.irq <= irq_pend;
slot_resp.data <= io_rdata;
slot_resp.reg_output <= enable when slot_req.bus_address(8 downto 5)=X"8" and
slot_req.bus_address(4 downto 2)/="111" and
(state = idle)
else '0';
io_write <= (enable and slot_req.io_write) when slot_req.io_address(8 downto 5)=X"8" else '0';
io_read <= (enable and slot_req.io_read) when slot_req.io_address(8 downto 5)=X"8" else '0';
end gideon;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library work;
use work.reu_pkg.all;
use work.mem_bus_pkg.all;
use work.dma_bus_pkg.all;
use work.slot_bus_pkg.all;
-- Standard: 433 LUT/148 FF
-- Extended: 564 LUT/195 FF
entity reu is
generic (
g_ram_tag : std_logic_vector(7 downto 0) := X"10";
g_extended : boolean := true;
g_ram_base : unsigned(27 downto 0) := X"1000000" ); -- second (=upper 16M)
port (
clock : in std_logic;
reset : in std_logic;
-- register interface
slot_req : in t_slot_req;
slot_resp : out t_slot_resp;
-- system interface
phi2_tick : in std_logic := '0';
reu_dma_n : out std_logic := '1';
size_ctrl : in std_logic_vector(2 downto 0) := "001";
enable : in std_logic;
-- memory interface
mem_req : out t_mem_req;
mem_resp : in t_mem_resp;
dma_req : out t_dma_req;
dma_resp : in t_dma_resp );
end reu;
-- The REU is actually really simple.
-- There are 4 modes of operation, and 4 active states:
-- r = reu read, w = reu write, R = c64 read, W = c64 write
-- Copy from c64 to reu (00): Rw
-- Copy from reu to c64 (01): rW
-- Swap (10): rRwW (RrWw or rRWw or RrwW or rRwW)
-- Verify (11): rR (Rr or rR)
-- The smallest implementation is very likely when only one bit is needed to select between
-- transition options, and reducing the total number of transitions makes sense too.
architecture gideon of reu is
type t_state is (idle, do_read_c64, do_write_c64, do_read_reu, do_write_reu, check_end, delay);
signal state : t_state;
attribute fsm_encoding : string;
attribute fsm_encoding of state : signal is "one-hot";
signal io_wdatau : unsigned(7 downto 0);
signal io_rdata : std_logic_vector(7 downto 0);
signal io_write : std_logic;
signal io_read : std_logic;
signal c64_base : unsigned(15 downto 0) := (others => '0');
signal reu_base : unsigned(23 downto 0) := (others => '0');
signal length_reg : unsigned(23 downto 0) := (others => '1');
signal c64_addr : unsigned(15 downto 0) := (others => '0');
signal reu_addr : unsigned(23 downto 0) := (others => '0');
signal count : unsigned(23 downto 0) := (others => '1');
signal c64_req : std_logic;
signal c64_rack : std_logic;
signal c64_dack : std_logic;
signal reu_req : std_logic;
signal reu_rack : std_logic;
signal reu_dack : std_logic;
signal glob_rwn : std_logic;
signal write_ff00 : std_logic;
signal masked_reu_addr : unsigned(23 downto 0);
signal mask : unsigned(7 downto 0);
signal c64_read_reg : std_logic_vector(7 downto 0) := (others => '0');
signal reu_read_reg : std_logic_vector(7 downto 0) := (others => '0');
signal verify_error : std_logic;
signal trans_done : std_logic;
signal irq_pend : std_logic;
signal reserved : std_logic_vector(2 downto 0);
type t_control is record
irq_en : std_logic;
irq_done : std_logic;
irq_error : std_logic;
fix_reu : std_logic;
fix_c64 : std_logic;
end record;
type t_command is record
execute : std_logic;
autoload : std_logic;
ff00 : std_logic;
mode : std_logic_vector(1 downto 0);
end record;
constant c_control_def : t_control := (others => '0');
constant c_command_def : t_command := (
mode => "00",
execute => '0',
ff00 => '1',
autoload => '0' );
signal control : t_control;
signal command : t_command;
-- signals for extended mode
signal rate_div : unsigned(7 downto 0) := (others => '0');
signal start_delay : unsigned(7 downto 0) := (others => '0');
signal ext_count : unsigned(7 downto 0) := (others => '0');
begin
write_ff00 <= '1' when slot_req.late_write='1' and slot_req.io_address=X"FF00" else '0';
with size_ctrl select mask <=
"00000001" when "000",
"00000011" when "001",
"00000111" when "010",
"00001111" when "011",
"00011111" when "100",
"00111111" when "101",
"01111111" when "110",
"11111111" when others;
masked_reu_addr(23 downto 19) <= (reu_base(23 downto 19) and mask(7 downto 3)) when not g_extended else
(reu_addr(23 downto 19) and mask(7 downto 3));
masked_reu_addr(18 downto 16) <= (reu_addr(18 downto 16) and mask(2 downto 0));
masked_reu_addr(15 downto 0) <= reu_addr(15 downto 0);
reu_rack <= '1' when mem_resp.rack_tag = g_ram_tag else '0';
reu_dack <= '1' when mem_resp.dack_tag = g_ram_tag else '0';
io_wdatau <= unsigned(slot_req.data);
-- fill mem request structure
mem_req.tag <= g_ram_tag;
mem_req.request <= reu_req;
mem_req.address <= g_ram_base(25 downto 24) & masked_reu_addr;
mem_req.read_writen <= glob_rwn;
mem_req.data <= c64_read_reg;
mem_req.size <= "00"; -- 1 byte at a time
-- fill dma request structure
dma_req.request <= c64_req;
dma_req.address <= c64_addr;
dma_req.read_writen <= glob_rwn;
dma_req.data <= reu_read_reg;
c64_rack <= dma_resp.rack;
c64_dack <= dma_resp.dack;
p_main: process(clock)
procedure next_address is
begin
if control.fix_c64='0' then
c64_addr <= c64_addr + 1;
end if;
if control.fix_reu='0' then
reu_addr <= reu_addr + 1;
end if;
if (count(15 downto 0) = 1 and not g_extended) or
(count = 1 and g_extended) then
trans_done <= '1';
else
count <= count - 1;
end if;
end procedure;
procedure transfer_end is
begin
if command.autoload='1' then
c64_addr <= c64_base;
reu_addr <= reu_base(reu_addr'range);
if g_extended then
count <= length_reg;
else
count(15 downto 0) <= length_reg(15 downto 0);
end if;
end if;
command.ff00 <= '1'; -- reset to default state
state <= idle;
end procedure;
procedure dispatch is
begin
glob_rwn <= '1'; -- we're going to read.
case command.mode is
when c_mode_toreu => -- C64 to REU
c64_req <= '1';
state <= do_read_c64;
when others => -- in all other cases, read reu first
reu_req <= '1';
state <= do_read_reu;
end case;
end procedure;
begin
if rising_edge(clock) then
if io_write='1' then --$DF00-$DF1F, decoded below in a concurrent statement
case slot_req.io_address(4 downto 0) is
when c_c64base_l => c64_base(7 downto 0) <= io_wdatau;
c64_addr <= c64_base(15 downto 8) & io_wdatau; -- half autoload bug
when c_c64base_h => c64_base(15 downto 8) <= io_wdatau;
c64_addr <= io_wdatau & c64_base(7 downto 0); -- half autoload bug
when c_reubase_l => reu_base(7 downto 0) <= io_wdatau;
reu_addr(15 downto 0) <= reu_base(15 downto 8) & io_wdatau; -- half autoload bug
when c_reubase_m => reu_base(15 downto 8) <= io_wdatau;
reu_addr(15 downto 0) <= io_wdatau & reu_base(7 downto 0); -- half autoload bug
when c_reubase_h => reu_base(23 downto 16) <= io_wdatau;
reu_addr(23 downto 16) <= io_wdatau;
when c_translen_l => length_reg(7 downto 0) <= io_wdatau;
count(15 downto 0) <= length_reg(15 downto 8) & io_wdatau; -- half autoload bug
when c_translen_h => length_reg(15 downto 8) <= io_wdatau;
count(15 downto 0) <= io_wdatau & length_reg(7 downto 0); -- half autoload bug
when c_irqmask =>
control.irq_en <= io_wdatau(7);
control.irq_done <= io_wdatau(6);
control.irq_error <= io_wdatau(5);
when c_control =>
control.fix_reu <= io_wdatau(6);
control.fix_c64 <= io_wdatau(7);
when c_command =>
command.execute <= io_wdatau(7);
reserved(2) <= io_wdatau(6);
command.autoload <= io_wdatau(5);
command.ff00 <= io_wdatau(4);
reserved(1) <= io_wdatau(3);
reserved(0) <= io_wdatau(2);
command.mode <= slot_req.data(1 downto 0);
when others =>
null;
end case;
end if;
-- extended registers
if io_write='1' and g_extended then --$DF00-$DF1F, decoded below in a concurrent statement
case slot_req.io_address(4 downto 0) is
when c_start_delay =>
start_delay <= io_wdatau;
when c_rate_div =>
rate_div <= io_wdatau;
when c_translen_x =>
length_reg(23 downto 16) <= io_wdatau;
count(23 downto 16) <= io_wdatau;
when others =>
null;
end case;
end if;
-- clear on read flags
if io_read='1' then
if slot_req.io_address(4 downto 0) = c_status then
verify_error <= '0';
trans_done <= '0';
end if;
end if;
case state is
when idle =>
reu_dma_n <= '1';
glob_rwn <= '1';
ext_count <= start_delay;
if command.execute='1' then
if (command.ff00='0' and write_ff00='1') or
(command.ff00='1') then
verify_error <= '0';
trans_done <= '0';
command.execute <= '0';
if g_extended then
state <= delay;
else
dispatch;
reu_dma_n <= '0';
end if;
end if;
end if;
when delay =>
if ext_count = 0 then
dispatch;
reu_dma_n <= '0';
elsif phi2_tick='1' then
ext_count <= ext_count - 1;
end if;
when do_read_reu =>
if reu_rack='1' then
reu_req <= '0';
end if;
if reu_dack='1' then
reu_read_reg <= mem_resp.data;
case command.mode is
when c_mode_swap | c_mode_verify =>
c64_req <= '1';
glob_rwn <= '1';
state <= do_read_c64;
when others =>
c64_req <= '1';
glob_rwn <= '0';
state <= do_write_c64;
end case;
end if;
when do_write_c64 =>
if c64_rack='1' then
c64_req <= '0';
next_address;
state <= check_end;
end if;
when do_read_c64 =>
if c64_rack='1' then
c64_req <= '0';
end if;
if c64_dack='1' then
c64_read_reg <= dma_resp.data;
case command.mode is
when c_mode_verify =>
if dma_resp.data /= reu_read_reg then
verify_error <= '1';
state <= idle;
else
next_address;
state <= check_end;
end if;
when others =>
reu_req <= '1';
glob_rwn <= '0';
state <= do_write_reu;
end case;
end if;
when do_write_reu =>
if reu_rack='1' then
reu_req <= '0';
case command.mode is
when c_mode_swap =>
c64_req <= '1';
glob_rwn <= '0';
state <= do_write_c64;
when others =>
next_address;
state <= check_end;
end case;
end if;
when check_end =>
ext_count <= rate_div;
if trans_done='1' then
transfer_end;
elsif g_extended then
state <= delay;
else
dispatch;
end if;
when others =>
null;
end case;
if reset='1' then
reu_req <= '0';
c64_req <= '0';
glob_rwn <= '1';
control <= c_control_def;
command <= c_command_def;
state <= idle;
reserved <= (others => '0');
verify_error <= '0';
trans_done <= '0';
reu_dma_n <= '1';
c64_base <= (others => '0');
reu_base <= (others => '0');
length_reg <= X"00FFFF";
c64_addr <= (others => '0');
reu_addr <= (others => '0');
count <= (others => '1');
rate_div <= (others => '0');
start_delay <= (others => '0');
rate_div <= (others => '0');
ext_count <= (others => '0');
end if;
end if;
end process;
p_read: process(slot_req, control, command, count, c64_addr, reu_addr, verify_error, trans_done, irq_pend,
c64_base, reu_base, length_reg, reserved, mask, start_delay, rate_div)
begin
io_rdata <= X"FF";
case slot_req.bus_address(4 downto 0) is
when c_status =>
io_rdata(7) <= irq_pend;
io_rdata(6) <= trans_done;
io_rdata(5) <= verify_error;
io_rdata(4) <= mask(1); -- for 256k and larger, this is set to '1'.
io_rdata(3 downto 0) <= X"0"; -- version
when c_command =>
io_rdata(7) <= command.execute;
io_rdata(6) <= reserved(2);
io_rdata(5) <= command.autoload;
io_rdata(4) <= command.ff00;
io_rdata(3 downto 2) <= reserved(1 downto 0);
io_rdata(1 downto 0) <= command.mode;
when c_irqmask =>
io_rdata(7) <= control.irq_en;
io_rdata(6) <= control.irq_done;
io_rdata(5) <= control.irq_error;
when c_control =>
io_rdata(7) <= control.fix_c64;
io_rdata(6) <= control.fix_reu;
when c_c64base_l => io_rdata <= std_logic_vector(c64_addr(7 downto 0));
when c_c64base_h => io_rdata <= std_logic_vector(c64_addr(15 downto 8));
when c_reubase_l => io_rdata <= std_logic_vector(reu_addr(7 downto 0));
when c_reubase_m => io_rdata <= std_logic_vector(reu_addr(15 downto 8));
when c_reubase_h =>
if g_extended then
io_rdata <= std_logic_vector(reu_addr(23 downto 16));
else
io_rdata <= "11111" & std_logic_vector(reu_addr(18 downto 16)); -- maximum 19 bits
end if;
when c_translen_l => io_rdata <= std_logic_vector(count(7 downto 0));
when c_translen_h => io_rdata <= std_logic_vector(count(15 downto 8));
when c_size_read => if g_extended then io_rdata <= std_logic_vector(mask); end if;
when c_start_delay => if g_extended then io_rdata <= std_logic_vector(start_delay); end if;
when c_rate_div => if g_extended then io_rdata <= std_logic_vector(rate_div); end if;
when others =>
null;
end case;
end process;
irq_pend <= control.irq_en and ((control.irq_done and trans_done) or (control.irq_error and verify_error));
slot_resp.irq <= irq_pend;
slot_resp.data <= io_rdata;
slot_resp.reg_output <= enable when slot_req.bus_address(8 downto 5)=X"8" and
slot_req.bus_address(4 downto 2)/="111" and
(state = idle)
else '0';
io_write <= (enable and slot_req.io_write) when slot_req.io_address(8 downto 5)=X"8" else '0';
io_read <= (enable and slot_req.io_read) when slot_req.io_address(8 downto 5)=X"8" else '0';
end gideon;
|
library IEEE;
use IEEE.STD_LOGIC_1164.all;
entity top is
generic(
N: integer := 4;
M: integer := 8
);
port(
clk : in STD_LOGIC;
rst : in STD_LOGIC;
COP : in std_logic;
d1 : in STD_LOGIC_VECTOR(2*N-1 downto 0);
d2 : in STD_LOGIC_VECTOR(N-1 downto 0);
r : out STD_LOGIC_VECTOR(2*N-1 downto 0);
IRQ1, IRQ2 : out std_logic
);
end top;
architecture top of top is
component control_unit
port (
clk,rst : in STD_LOGIC;
X: in STD_LOGIC_vector(10 downto 0);
Y: out STD_LOGIC_vector(25 downto 1));
end component;
component operational_unit port(
clk,rst : in STD_LOGIC;
y : in STD_LOGIC_VECTOR(25 downto 1);
COP : in std_logic;
d1 : in STD_LOGIC_VECTOR(2*N-1 downto 0);
d2 : in STD_LOGIC_VECTOR(N-1 downto 0);
rl, rh : out STD_LOGIC_VECTOR(N-1 downto 0);
x : out STD_LOGIC_vector(10 downto 0);
IRQ1, IRQ2 : out std_logic
);
end component;
signal y : std_logic_vector(25 downto 1);
signal x : std_logic_vector(10 downto 0);
signal nclk : std_logic;
signal rl, rh : std_logic_vector(N-1 downto 0);
begin
nclk <= not clk;
dd1 : control_unit port map (clk=>clk, rst=>rst, x=>x, y=>y);
dd2 : operational_unit port map (
clk => clk, rst => rst, d1 => d1, d2 => d2,
y => y, x => x, rl => rl, rh => rh, COP => COP,
IRQ1 => IRQ1, IRQ2 => IRQ2
);
r <= rh & rl;
end top; |
library IEEE;
use IEEE.STD_LOGIC_1164.all;
use IEEE.NUMERIC_STD.all;
library std;
entity dynroi_process is
generic (
CLK_PROC_FREQ : integer;
BINIMG_SIZE : integer;
IMG_SIZE : integer;
ROI_SIZE : integer;
COORD_SIZE : integer
);
port (
clk_proc : in std_logic;
reset_n : in std_logic;
---------------- dynamic parameters ports ---------------
status_reg_enable_bit : in std_logic;
status_reg_bypass_bit : in std_logic;
status_reg_static_res_bit : in std_logic;
inImg_size_reg_in_w_reg : in std_logic_vector(11 downto 0);
inImg_size_reg_in_h_reg : in std_logic_vector(11 downto 0);
BinImg_size_reg_in_w_reg : in std_logic_vector(11 downto 0);
BinImg_size_reg_in_h_reg : in std_logic_vector(11 downto 0);
out_size_reg_out_w_reg : in std_logic_vector(11 downto 0);
out_size_reg_out_h_reg : in std_logic_vector(11 downto 0);
----------------------- BinImg flow ---------------------
BinImg_data : in std_logic_vector(BINIMG_SIZE-1 downto 0);
BinImg_fv : in std_logic;
BinImg_dv : in std_logic;
------------------------ Img flow -----------------------
Img_data : in std_logic_vector(IMG_SIZE-1 downto 0);
Img_fv : in std_logic;
Img_dv : in std_logic;
------------------------ roi flow -----------------------
roi_data : out std_logic_vector(ROI_SIZE-1 downto 0);
roi_fv : out std_logic;
roi_dv : out std_logic;
----------------------- coord flow ----------------------
coord_data : out std_logic_vector(COORD_SIZE-1 downto 0);
coord_fv : out std_logic;
coord_dv : out std_logic
);
end dynroi_process;
architecture rtl of dynroi_process is
constant X_COUNTER_SIZE : integer := 12;
constant Y_COUNTER_SIZE : integer := 12;
--process data_process vars
--bin image reference coordinates
signal xBin_pos : unsigned(X_COUNTER_SIZE-1 downto 0);
signal yBin_pos : unsigned(Y_COUNTER_SIZE-1 downto 0);
signal x_min : unsigned(X_COUNTER_SIZE-1 downto 0);
signal x_max : unsigned(X_COUNTER_SIZE-1 downto 0);
signal y_min : unsigned(Y_COUNTER_SIZE-1 downto 0);
signal y_max : unsigned(Y_COUNTER_SIZE-1 downto 0);
signal enabled : std_logic;
--conversion offset from binImg to img
signal conv_offset_x : unsigned(X_COUNTER_SIZE-1 downto 0);
signal conv_offset_y : unsigned(Y_COUNTER_SIZE-1 downto 0);
--Coord over serial line related vars
signal frame_buffer : std_logic_vector(63 downto 0);
signal frame_buffer_has_been_filled : std_logic;
signal frame_buffer_has_been_sent : std_logic;
signal frame_buffer_position : unsigned(6 downto 0);
--Apply_roi signals
signal x_temp : unsigned(X_COUNTER_SIZE-1 downto 0);
signal y_temp : unsigned(Y_COUNTER_SIZE-1 downto 0);
signal w_temp : unsigned(X_COUNTER_SIZE-1 downto 0);
signal h_temp : unsigned(Y_COUNTER_SIZE-1 downto 0);
begin
------------------------------------------------------------------------
apply_roi : process(clk_proc, reset_n)
--img reference coordinates
variable x : unsigned(X_COUNTER_SIZE-1 downto 0);
variable y : unsigned(Y_COUNTER_SIZE-1 downto 0);
variable w : unsigned(X_COUNTER_SIZE-1 downto 0);
variable h : unsigned(Y_COUNTER_SIZE-1 downto 0);
variable xImg_pos : unsigned(X_COUNTER_SIZE-1 downto 0);
variable yImg_pos : unsigned(Y_COUNTER_SIZE-1 downto 0);
begin
if(reset_n='0') then
-- reset pixel counters
xImg_pos := to_unsigned(0, X_COUNTER_SIZE);
yImg_pos := to_unsigned(0, Y_COUNTER_SIZE);
-- reset ROI coord : default is central frame with param.w/h values
x := (others => '0');
y := (others => '0');
w := (others => '0');
h := (others => '0');
x_temp <= (others => '0');
y_temp <= (others => '0');
w_temp <= (others => '0');
h_temp <= (others => '0');
roi_data <= (others => '0');
roi_dv <= '0';
roi_fv <= '0';
elsif(rising_edge(clk_proc)) then
if Img_fv = '1' and enabled = '1' then
roi_fv <= '1';
else
roi_fv <= '0';
end if;
roi_dv <= '0';
roi_data <= (others => '1');
--Updating last frame coordinates
if frame_buffer_has_been_filled = '1' and enabled = '1' then
x_temp <= unsigned(frame_buffer(X_COUNTER_SIZE-1 downto 0));
y_temp <= unsigned(frame_buffer(Y_COUNTER_SIZE+15 downto 16));
w_temp <= unsigned(frame_buffer(X_COUNTER_SIZE+31 downto 32));
h_temp <= unsigned(frame_buffer(Y_COUNTER_SIZE+47 downto 48));
end if;
-- ROI action
if Img_fv = '0' then
--Update ROI coords
x := x_temp;
y := y_temp;
w := w_temp;
h := h_temp;
--Reset pixel counters
xImg_pos := to_unsigned(0, X_COUNTER_SIZE);
yImg_pos := to_unsigned(0, Y_COUNTER_SIZE);
else
if Img_dv = '1' and enabled = '1' then
--ROI
if(yBin_pos >= y
and yBin_pos < y + h
and xBin_pos >= x
and xBin_pos < x + w )then
roi_dv <= '1';
roi_data <= Img_data;
end if;
--Pixel counter in img
xImg_pos := xImg_pos + 1;
if(xImg_pos=unsigned(inImg_size_reg_in_w_reg)) then
yImg_pos := yImg_pos + 1;
xImg_pos := to_unsigned(0, X_COUNTER_SIZE);
end if;
end if;
end if;
end if;
end process;
------------------------------------------------------------------------
------------------------------------------------------------------------
data_process : process (clk_proc, reset_n)
-- Vars used to fill frame_buffer
variable x_to_send : unsigned(X_COUNTER_SIZE-1 downto 0);
variable y_to_send : unsigned(Y_COUNTER_SIZE-1 downto 0);
variable w_to_send : unsigned(X_COUNTER_SIZE-1 downto 0);
variable h_to_send : unsigned(Y_COUNTER_SIZE-1 downto 0);
begin
if(reset_n='0') then
xBin_pos <= to_unsigned(0, X_COUNTER_SIZE);
yBin_pos <= to_unsigned(0, Y_COUNTER_SIZE);
--Cleaning frame coordinates
x_max <= (others=>'0');
y_max <= (others=>'0');
x_min <= (others => '0');
y_min <= (others => '0');
--Cleaning frame buffer
frame_buffer <= (others=>'0');
--Cleaning signals used to fill buffer
frame_buffer_has_been_filled <= '0';
frame_buffer_has_been_sent <= '0';
coord_fv <= '0';
coord_dv <= '0';
coord_data <= (others=>'0');
--Cleaning flags
enabled <= '0';
--Cleaning conv offset
conv_offset_x <= (others => '0');
conv_offset_y <= (others => '0');
elsif(rising_edge(clk_proc)) then
coord_fv <= '0';
coord_dv <= '0';
coord_data <= (others=>'0');
--offset calculation
conv_offset_x <= (unsigned(inImg_size_reg_in_w_reg)-unsigned(BinImg_size_reg_in_w_reg))/2;
conv_offset_y <= (unsigned(inImg_size_reg_in_h_reg)-unsigned(BinImg_size_reg_in_h_reg))/2;
if(BinImg_fv = '0') then
xBin_pos <= to_unsigned(0, X_COUNTER_SIZE);
yBin_pos <= to_unsigned(0, Y_COUNTER_SIZE);
--
if frame_buffer_has_been_filled = '0' then
--We send frame coordinates only if there is something to send
if enabled = '1' and frame_buffer_has_been_sent = '0' then
if status_reg_bypass_bit = '1' then
x_to_send := (others=>'0');
y_to_send := (others=>'0');
w_to_send := unsigned(inImg_size_reg_in_w_reg);
h_to_send := unsigned(inImg_size_reg_in_h_reg);
else
----roi resolution fixed by user
if status_reg_static_res_bit = '1' then
--something was detected
if x_max > 0 then
--checking top left corner position to ensure frame width is matching static_res
if x_min + conv_offset_x > (unsigned(inImg_size_reg_in_w_reg)-unsigned(out_size_reg_out_w_reg)) then
x_to_send := unsigned(inImg_size_reg_in_w_reg) - unsigned(out_size_reg_out_w_reg);
else
x_to_send := x_min + conv_offset_x;
end if;
if y_min + conv_offset_y > (unsigned(inImg_size_reg_in_h_reg)-unsigned(out_size_reg_out_h_reg)) then
y_to_send := (unsigned(inImg_size_reg_in_h_reg)-unsigned(out_size_reg_out_h_reg));
else
y_to_send := y_min + conv_offset_y;
end if;
w_to_send := unsigned(out_size_reg_out_w_reg) ;
h_to_send := unsigned(out_size_reg_out_h_reg);
else
--nothing found
x_to_send := (unsigned(inImg_size_reg_in_w_reg)-unsigned(out_size_reg_out_w_reg))/2 ;
y_to_send := (unsigned(inImg_size_reg_in_h_reg)-unsigned(out_size_reg_out_h_reg))/2;
w_to_send := unsigned(out_size_reg_out_w_reg);
h_to_send := unsigned(out_size_reg_out_h_reg);
end if;
----dynamic resolution for roi
else
--something was detected
if x_max > 0 then
x_to_send := x_min + conv_offset_x;
y_to_send := y_min + conv_offset_y;
w_to_send := x_max-x_min;
h_to_send := y_max-y_min;
else
--nothing found -> empty rectangle at image center
x_to_send := unsigned(inImg_size_reg_in_w_reg)/2;
y_to_send := unsigned(inImg_size_reg_in_h_reg)/2;
w_to_send := (others=>'0');
h_to_send := (others=>'0');
end if;
end if;
end if;
--filling buffer with matching coordinates
frame_buffer(X_COUNTER_SIZE-1 downto 0) <= std_logic_vector(x_to_send);
frame_buffer(Y_COUNTER_SIZE+15 downto 16) <= std_logic_vector(y_to_send);
frame_buffer(X_COUNTER_SIZE+31 downto 32) <= std_logic_vector(w_to_send);
frame_buffer(Y_COUNTER_SIZE+47 downto 48) <= std_logic_vector(h_to_send);
--zero padding, each value has 16 bits but only uses XY_COUNTER_SIZE bits
frame_buffer(15 downto X_COUNTER_SIZE) <= (others=>'0');
frame_buffer(31 downto X_COUNTER_SIZE+16) <= (others=>'0');
frame_buffer(47 downto X_COUNTER_SIZE+32) <= (others=>'0');
frame_buffer(63 downto X_COUNTER_SIZE+48) <= (others=>'0');
-- Get buffer ready to send
frame_buffer_has_been_filled <= '1';
frame_buffer_position <= (others=>'0') ;
end if;
--Cleaning frame coordinates
x_max <= (others=>'0');
y_max <= (others=>'0');
x_min <= unsigned(BinImg_size_reg_in_w_reg);
y_min <= unsigned(BinImg_size_reg_in_h_reg);
--To prevent sending coord after reset of x/y_min/max
frame_buffer_has_been_sent <= '1';
else
--send roi coord
coord_fv <= '1';
coord_dv <= '1';
coord_data <= frame_buffer(to_integer(frame_buffer_position)+7 downto to_integer(frame_buffer_position));
if frame_buffer_position >= 56 then
frame_buffer_has_been_filled <= '0';
frame_buffer_has_been_sent <= '1';
else
frame_buffer_position <= frame_buffer_position + to_unsigned(8, 7);
end if;
end if;
enabled <= status_reg_enable_bit;
else
coord_fv <= '0';
coord_dv <= '0';
coord_data <= (others=>'0');
frame_buffer_has_been_sent <= '0';
if status_reg_enable_bit = '1' and enabled = '1' then
if(BinImg_dv = '1' ) then
--bin img pixel counter
xBin_pos <= xBin_pos + 1;
if(xBin_pos=unsigned(BinImg_size_reg_in_w_reg)-1) then
yBin_pos <= yBin_pos + 1;
xBin_pos <= to_unsigned(0, X_COUNTER_SIZE);
end if;
-- This will give the smallest area including all non-black points
if BinImg_data /= (BinImg_data'range => '0') then
if xBin_pos < x_min then
x_min <= xBin_pos;
end if;
if xBin_pos > x_max then
x_max <= xBin_pos;
end if;
--
if yBin_pos < y_min then
y_min <= yBin_pos;
end if;
if yBin_pos > y_max then
y_max <= yBin_pos;
end if;
end if;
end if;
else
enabled <= '0';
end if;
end if;
end if;
end process;
end rtl;
|
-----------------------------------------------------------------------------------------------------------------------
-- Author:
--
-- Create Date: 09/11/2016 -- dd/mm/yyyy
-- Module Name: test_spi_slaves
-- Project Name:
-- Target Devices:
-- Tool versions:
-- Description:
--
-- Este bloque instancia dos bloques spi escalvos tal que la salida de datos de uno esta conectada a la entrada
-- de datos del otro. Lo mismo sucede con la salida que indica un dato valido y la entrada write enable. Por lo tanto,
-- si un bloque recibe un dato, en el proximo ciclo spi ese dato sera enviado por el otro bloque spi.
--
-----------------------------------------------------------------------------------------------------------------------
LIBRARY ieee ;
USE ieee.std_logic_1164.all;
USE ieee.std_logic_arith.all;
use ieee.std_logic_unsigned.all;
LIBRARY lpm;
USE lpm.lpm_components.ALL;
ENTITY test_spi_slaves IS
PORT(
m_clk : in std_logic; -- master clock
m_reset : in std_logic; -- master reset
---- serial interface 1 ----
slave1_ssel_i : in std_logic := 'X'; -- spi bus slave select line
slave1_sck_i : in std_logic := 'X'; -- spi bus sck
slave1_mosi_i : in std_logic := 'X'; -- spi bus mosi output
slave1_miso_o : out std_logic := 'X'; -- spi bus spi_miso_i input
---- serial interface 2 ----
slave2_ssel_i : in std_logic := 'X'; -- spi bus slave select line
slave2_sck_i : in std_logic := 'X'; -- spi bus sck
slave2_mosi_i : in std_logic := 'X'; -- spi bus mosi output
slave2_miso_o : out std_logic := 'X' -- spi bus spi_miso_i input
);
END test_spi_slaves;
ARCHITECTURE synth OF test_spi_slaves IS
---- COMPONENTS
COMPONENT spi_slave IS
Generic (
N : positive := 16; -- 32bit serial word length is default
CPOL : std_logic := '0'; -- SPI mode selection (mode 0 default)
CPHA : std_logic := '0'; -- CPOL = clock polarity, CPHA = clock phase.
PREFETCH : positive := 2); -- prefetch lookahead cycles
Port (
clk_i : in std_logic := 'X'; -- internal interface clock (clocks di/do registers)
spi_ssel_i : in std_logic := 'X'; -- spi bus slave select line
spi_sck_i : in std_logic := 'X'; -- spi bus sck clock (clocks the shift register core)
spi_mosi_i : in std_logic := 'X'; -- spi bus mosi input
spi_miso_o : out std_logic := 'X'; -- spi bus spi_miso_o output
di_req_o : out std_logic; -- preload lookahead data request line
di_i : in std_logic_vector (N-1 downto 0) := (others => 'X'); -- parallel load data in (clocked in on rising edge of clk_i)
wren_i : in std_logic := 'X'; -- user data write enable
wr_ack_o : out std_logic; -- write acknowledge
do_valid_o : out std_logic; -- do_o data valid strobe, valid during one clk_i rising edge.
do_o : out std_logic_vector (N-1 downto 0); -- parallel output (clocked out on falling clk_i)
--- debug ports: can be removed for the application circuit ---
do_transfer_o : out std_logic; -- debug: internal transfer driver
wren_o : out std_logic; -- debug: internal state of the wren_i pulse stretcher
rx_bit_next_o : out std_logic; -- debug: internal rx bit
state_dbg_o : out std_logic_vector (3 downto 0); -- debug: internal state register
sh_reg_dbg_o : out std_logic_vector (N-1 downto 0) -- debug: internal shift register
);
END COMPONENT;
---- SIGNALS
SIGNAL sg_slave1_di, sg_slave2_di : std_logic_vector(15 downto 0);
SIGNAL sg_slave1_wren, sg_slave2_wren : std_logic;
BEGIN
---- INSTANCES
SLAVE_1: spi_slave PORT MAP (
clk_i => m_clk,
spi_ssel_i => slave1_ssel_i,
spi_sck_i => slave1_sck_i,
spi_mosi_i => slave1_mosi_i,
spi_miso_o => slave1_miso_o,
di_i => sg_slave1_di,
wren_i => sg_slave1_wren,
do_valid_o => sg_slave2_wren,
do_o => sg_slave2_di
);
SLAVE_2: spi_slave PORT MAP (
clk_i => m_clk,
spi_ssel_i => slave2_ssel_i,
spi_sck_i => slave2_sck_i,
spi_mosi_i => slave2_mosi_i,
spi_miso_o => slave2_miso_o,
di_i => sg_slave2_di,
wren_i => sg_slave2_wren,
do_valid_o => sg_slave1_wren,
do_o => sg_slave1_di
);
END synth; |
-- Copyright (c) 2016 Federico Madotto and Coline Doebelin
-- federico.madotto (at) gmail.com
-- coline.doebelin (at) gmail.com
-- https://github.com/fmadotto/DS_bitcoin_miner
-- sigma_0.vhd is part of DS_bitcoin_miner.
-- DS_bitcoin_miner 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.
-- DS_bitcoin_miner is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
-- You should have received a copy of the GNU General Public License
-- along with this program. If not, see <http://www.gnu.org/licenses/>.
library ieee;
use ieee.std_logic_1164.all;
entity sigma_0 is
port (
x : in std_ulogic_vector(31 downto 0); -- first binary input
o : out std_ulogic_vector(31 downto 0) -- output
);
end entity sigma_0;
architecture behav of sigma_0 is
begin
process(x) -- the process is woken up whenever the input change
begin
o <= to_stdulogicvector((to_bitvector(x) ror 7) xor (to_bitvector(x) ror 18) xor (to_bitvector(x) srl 3));
end process;
end architecture behav; |
-------------------------------------------------------------------------------------
-- FILE NAME : pulse2pulse.vhd
--
-- AUTHOR : Peter Kortekaas
--
-- COMPANY : 4DSP
--
-- ITEM : 1
--
-- UNITS : Entity - pulse2pulse
-- architecture - pulse2pulse_syn
--
-- LANGUAGE : VHDL
--
-------------------------------------------------------------------------------------
--
-------------------------------------------------------------------------------------
-- DESCRIPTION
-- ===========
--
-- This file transfers a pulse from one clock domain (in_clk) to another (out_clk).
--
-------------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all ;
use ieee.std_logic_arith.all ;
use ieee.std_logic_unsigned.all ;
use ieee.std_logic_misc.all ;
entity pulse2pulse is
port (
in_clk : in std_logic;
out_clk : in std_logic;
rst : in std_logic;
pulsein : in std_logic;
inbusy : out std_logic;
pulseout : out std_logic
);
end pulse2pulse;
architecture syn of pulse2pulse is
-----------------------------------------------------------------------------------
--constant declarations
-----------------------------------------------------------------------------------
-----------------------------------------------------------------------------------
--constant declarations
-----------------------------------------------------------------------------------
-----------------------------------------------------------------------------------
--signal declarations
-----------------------------------------------------------------------------------
signal out_set :std_logic;
signal out_set_prev :std_logic;
signal out_set_prev2 :std_logic;
signal in_set :std_logic;
signal outreset :std_logic;
signal in_reset :std_logic;
signal in_reset_prev :std_logic;
signal in_reset_prev2:std_logic;
-----------------------------------------------------------------------------------
--component declarations
-----------------------------------------------------------------------------------
--*********************************************************************************
begin
--*********************************************************************************
-----------------------------------------------------------------------------------
--component instantiations
-----------------------------------------------------------------------------------
-----------------------------------------------------------------------------------
--synchronous processes
-----------------------------------------------------------------------------------
in_proc:process(in_clk,rst)
begin
if(rst = '1') then
in_reset <= '0';
in_reset_prev <= '0';
in_reset_prev2<= '0';
in_set <= '0';
elsif(in_clk'event and in_clk = '1') then
--regitser a pulse on the pulse in port
--reset the signal when the ouput has registerred the pulse
if (in_reset_prev = '1' and in_reset_prev2 = '1') then
in_set <= '0';
elsif (pulsein = '1') then
in_set <= '1';
end if;
--register the reset signal from the other clock domain
--three times. double stage synchronising circuit
--reduces the MTB
in_reset <= outreset;
in_reset_prev <= in_reset;
in_reset_prev2 <= in_reset_prev;
end if;
end process in_proc;
out_proc:process(out_clk,rst)
begin
if(rst = '1') then
out_set <= '0';
out_set_prev <= '0';
out_set_prev2 <= '0';
outreset <= '0';
pulseout <= '0';
elsif(out_clk'event and out_clk = '1') then
--generate a pulse on the outpput when the
--set signal has travelled through the synchronising fip flops
if (out_set_prev = '1' and out_set_prev2 = '0') then
pulseout <= '1';
else
pulseout <= '0';
end if;
--feedback the corret reception of the set signal to reset the set pulse
if (out_set_prev = '1' and out_set_prev2 = '1') then
outreset <= '1';
elsif (out_set_prev = '0' and out_set_prev2 = '0') then
outreset <= '0';
end if;
--register the reset signal from the other clock domain
--three times. double stage synchronising circuit
--reduces the MTB
out_set <= in_set;
out_set_prev <= out_set;
out_set_prev2 <= out_set_prev;
end if;
end process out_proc;
-----------------------------------------------------------------------------------
--asynchronous processes
-----------------------------------------------------------------------------------
-----------------------------------------------------------------------------------
--asynchronous mapping
-----------------------------------------------------------------------------------
inbusy <= in_set or in_reset_prev;
-------------------
-------------------
end syn; |
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`protect data_block
W586lrbjJwPkA/cUT6LkPYkoU37uTL5l0rnTISyfmy8YP2CQ+irdPfNKZUnJgeNz4zvUerii2KTV
HfEo1/Xxvb5QjFyH4Bb+dVNCNtSfdQhJnfKHFN+fuRUrNm4VxmPCWY2ZbZ9as0Jsucu/PUk1a8tK
3usZF69e5bErqilTlhYG9aZ/2KAfpE3W1oU99vwageVTAphGgFLSnf/Xdpy/OHY0IxF/EUdRBKZP
9t32eYnwZxy+UrpgccF1rEq1Qa74SHqgA9JcmjE1n+EH4UOjP8NRB+8Vqj7TpZvI0uJ7YM8VZ3Cg
rJVpJtAFFNBXIWGcLPYzmUJuk6boDFjp1kkodJNKSGqbq1m0RQXECL6UtzG8a9Bi9QTMoe9oOqGV
3q0oNCIdl3xKxjrf26s53XW5H6NP7vUE/g5zQn07oao2/25W7l84Lyy9m4r6qTGo2mm1vjSrelaS
pTUSN/3pIEp7lJPnmq3Hp+183xgafhA6QqWIn0i/hQXNxcd02vpA2Z96sm9N4RupukX+JXVSD9Pr
p83SKWwixHFermRj6wtaqJlFzU6NL7cQ8EX4JPup12oTWx4Q15dNOejYToUyOL/4D/ziuphZyNRX
yZva1ucmO1JXkvr0kcJBw8PeT8X5dCvOZDJfOc336GS9ZJ/wOCBrmGSvx0u8G2IKVtOfltbf+PgN
gJ6OCeIZv9jQGb/pMKgTT+IRO0PYdAxR2SK0+J/DapQ6tH//fC9sfOMG4BU1EaKzQ3TTZ0Vin3FE
9gxpzl3LmOb/CIUMZ5nD9DQJoyOh1ykWJ/rBvkiv4nMF8Zq22sKP1IE0UYIT408s5gTv5VyyU03s
K9wCOuTLN0uaVL3hL5EHXJHhWuKeN0l8C1C/4mK5+6Ad+ROklYdtLCqLehl18NNFs/STE1ApK4+t
F/4w4siBHxmn63EO3cQdPXbRQSW7uSWeNErc9bjZAgQeOw4v6k3wiPuegUwaVMnmFxKX1j6aU+/A
oPrOiANZM2xyo4Fy9MtEM4vkUk6/RZVdtHQ04euHnGm/tTZQ0FyFZr35vweaxUwoCNkWWxV4XHKW
fzBZdL1ehcRuvEmhunf56CkfzK2IVTbS4AqYkOpLDqs6JVjE4mUwde9iQL/8OeGfRQvBoTVQYB6y
iJHu9SSsIHp9Q1IXboyKRrYrvU7aIa2QysEpL25yZliDWRllungWlvouxIMthW7M7BgiK89xRcHA
KaMnCT49D9PHhgOtkSO6xro1rxfKZebDa+U7TpCGHEy2E2uNeDiLmZ7m8Vh9SxlPGhFPFa+IAIgU
VHs/Bt1YT8tH1JuFJ1Ocjk5ehfj5imZtAns1Lorooy8GmW6ezrv0GKwPX54uHKsp2RPA8YaWhUNN
4LRDmfsiI/KnGhjsCiKIpmxfePRPsJNZaIvLdgfwkHp6ezkoWXjR33oWncM6vn76UxHN/MfQaGqd
tPNP7umFuFEe9EvKNanXPZfQD3wvfemUZgV30IFx7oz8S1SHPkNisSV11FlL/MFlaSW+slklJEVq
4iZOr8Vfrf9IJtSBkmnMNTEyk4WA7qNKS6x3wsRmhEt1dKctyfLTX5Llj2yAmlYykbBGwmHWfMv+
US7Yv7rG1taU+C1m8VjcxPDi5CB5tvXL7t3uZHYAEamdqbIRKELeTScvw1Lt0iirfikTffgp/d6k
wgIM34n/YQ0J8sPCOCXdwqE6qsKliMwrNdKvzZTDgpaS5ET70DuHAlV1s8O0kcX6aEXetAmqxHmY
h/SDcr3PiPFk4rwcpo1H9fTGfDqiDY8rNrydZSm6IIQVLS/JQ1TfL/+KBh9wx/gcvyiJkmnXgS1C
G50iacn8ZIeBgCkEn+BLl5HDiSsHG0ggRE6eIateA8Vz1OoBljer3/H9IQGD8WM8+NjFUKE4/Umn
sJIpFXMoo78ADcFOitcV/k7ExoVFetnkqpsFXHEfxncoaIwufMWytEucYsWQstVA2p+wYe5P4Vza
3LIhVfJaF2LsiDFmQuTXVr+RWkNQjkQqgpM2a5Ig1Sgx+O2SpkEZURgQxf6IsQMHrkOJgNl7hdSu
T02fNSZV7csO/V04T8a5wSFw30ij1d6hPTOHGAL783PsgWbVc1X+5mU8JqlH2RlBocHd2KPnU0kj
RBH5yNFbT896W3qGFFIp6S290lVWdhXGV0S9kWBC9bfdUsxqBfOh0otAKd7CyIl2k/o6Ju2O7BoL
rul1vhq4WvNMjxB9IKeiC8/CJ233m3buZYAsD3QiLbj6xGdLIlf0xsFuqhpv5Pq2RzK7nyAsEhgR
Yqisy5p5Jx0Z6Z6/ONbzJB1zIVdYITBvAJrx9aGOmdu4Jw4mWlegxQqFaxgotfgEiQOP5ehspBJ6
KBbCXy3i6utS59lj3uuce1GWCKJGijkUUxhX3IbUPN+Vd8arBNnAJsS7i4YaHmawCGD2PWBLgGSG
Ja6+fy9TWENkQuFTwkbNdnY+7Avd6YJ/myg67eK2h+w0ABn8s53rSbW5UWUb0Lv0W/Ui2BephCXA
w44xPL/MxwVOT66KA4OyCz8taUt0qr9HsmSKL/16GngywYDLuYx2Zh06eDkUuC+hO3b7/Y9Mzz1Z
kv7J2D3uf/jPd0qIYqA2heEbsT0nFelBYi+6GxZTKoTK7iEi2sjRolwfXW8O0Wt8XaVGZnUFloR8
km+A69GYK7sgkOH4jmk73unOMKV9x0QJbwZyiwcKgPtXl9tUcqIjemrj6Gg4WRx7fSSxtFGSBvfk
9trnm+n+MQO7GM5gEWqucW5Qv9snp9peYINNcZW9AoayZVST1niagqobbv3178eYZ+HsTFFOBmaU
UMdZhShqX9mVO6tJv1OLuqtnwENZ5ia3ydrOV7fz+DoUFTIXYfrq5VusR4CD+VJ++3y4e7uAEiaA
h9S9ejKSAif2AnwR+sMlOkWLfbbXroxGDHfMe17OAkB7WYOrv9iqxt29/JVh8cdfKLZMKIx8Fr2r
+CKciGu1eZytb2nSTp9pSrKOjEVR9EzG3kdEfZNHwL0zdRWz4YLz2NfjO1rrP0sm164Gpt9kV5dl
Qx0VVFooC8+rYHntISrrT5AHdpnWBCN2GhqruooW5DWdjaX87EaDlbHfXmWpL6lmr47offDFqng3
hgauISq9DOUoIqU86rgj0B6J7nE/fuTTcD6kzkFK67gC8847Dka57FpOkNfHDRMVH1ketf/9mHvR
aBV7Bc8eWDE9jGZ0tInHSqLr/MrFEAyKsaHsk9qSO9FOodxl2kBw4q4r3skuMD56Z1g9r+hBRFac
MXXI/K0oV66EFwQjpq96pB42jlKA7yl6EI72jORJbbpz3Iw16PQnFDvRH4WTdtmOJwWYXrmBgwzs
4DkfD/3oIL37oqMJNtbF18ilCdpDOCwBaCSa5Bp++aVN/i8Uben+zkJf4TJRojvLZgW7PRlWNun0
NGERaq/8D1C47M9MdAmwEPZcsgLvOftLZZ8+ruCSq1ijLj0LeqKEq+cufNd+88lmKWDN/OK2VmZk
aMGyzFoEsIiJSp6T5h2CYEGtd1cWR80qi50YSifVHpiWD4YC/s1mEnLz6MzOUgMHGkjd1K1U37JO
fAqXLK0l0EGZmZ3Xx8h/DJpZbVXyk2CdaKOjP8vye8gZ+Q5jJfx/fFgw63PJEqZuCCf1HqYqCgB8
2lJM5/llQ9yZvaxjgmviRHtG+9IVoe2XVY/6mJUv3dcXdDUCgdwAuq1r1DnOX/Rj0v0lzSbZcX/1
XYSSocn6jt2owvyDJnnM/rfR/j1Gg9m7OCYDkvk9XuYwWa2yWAmkhr1LRxHmrkrZj3aFk8hRhEG3
3X0Otmt1bQ4DVpJoM9mkE+lsVDYLgqLE9Vv9YTjdmqSwsI06UNV5iMCsjKY7k+ltfnJen1rMCZjY
sCqyNuLxKCN+svAWW6ZUDVhX/kY59XJcJJiikdQqQk6w9gNmOXbCwpHEL/8nvjvjD34gc7EpfBmo
S6O46THooWJ9MP6hzzLW0YVwVc16N/iTz/xlnc0KLWD0nuLK2zB+fkHU4q1eNw0NuK5D/tyn1MjR
szyerwh5q0z4dE7BP3sR8sQzzJPFdO+XQ/V3lbNZIfzV1lzH0p+nFyssqex/0qwa8t9E7dAf2G7b
LKN+O/LAIyON0ZufYtr1LrXgGC/tBx7ReU+nURoRKoTALuQsIMTHMcUq0aGy0IWhvX4MRb5+jog9
yttSYwQciqt/d85CA/J99gWdlFMxiSjGnideeI2unK/36BX6c+rd5QljmyKdKm7mW6Mn5uoibf9G
zhn2LRgkdFsFHuxgVBOjJnrdg0b5vHzfwsp4y2LhGIDdBpXrNTXGWssmKtObapjAhWCrZ3hldqtx
ghmCv4M5LlklNPUU0PaFgyPTGKiH9m8bEfHuMiDX5zPmugeqgraQh3Go5SxRZ7iIYL41kCU7vTwx
p5PwoRQu1AcAN7EjooA4b9mb+IZt4IamkFC6scWDthshLOIXfe2mNJFH0zZvog8ybg5QBV3TRwd2
F6+4AEiNte7D/rIM09ia7QgWpg6iJHMVI/VG2I0HSKZ1RKZkzw4ERxyMNuiKrPFBGQTzWNUciO7T
KmV36OP/ih6LstPix7vi+qxm69DP71Skrse4OpS0oRpRQtf+DyjZI2LQySHpzZBwAEMRsEgmcF0Z
Eetvn6wPFP5roOXrXi8OxUkWc+IZTcMfK4jbw24ck2jCd0Ua4NSTMsv6r/LPMIJw8d1c5wN4tHnF
uojDD6hLjbkasfnSCjOJ62moN5B+EBXLjsbqvl9Y27htcb39+JVtnP2JLmzBMwc63IXPNeojE48l
P2xD75Jqg1eUb0jMy6icIcew/1kujWMf2gaMeBB2tLJuw8H6lazScvVJDJTinJbKG68ruxrRoNdH
U5f1bINSbG7bt+QOCb/CYGC6YW30cDVzBjym1E10GfD7PEKMo40H4zMTC0DfTgahOsNrZXEqlAQh
3nq3XB+BAt5X19W9Jq4YcUcQQvuztIueZugOcOPEKbrVwkNUk/INJg0IkOOCXfYkRW+xcUdvqoA/
+ot5aYc/Gk3nBTmwGC81BdblUoetZU8PsqyPaJUlnyykCezUx4vRg1f4TJ16EG2cXzEW56idYpWh
4mk8RcwV2ld7qwxVj7BgDGuXcen0n3VjsAGu9jaml5c6zcJQO7mOM8vXZkrUsvIpRvcFbUCWGqPw
rv/qnRS6siBdP8wEuuqIBjFTZwQ8s9lZEyLlwd1qnWjgcWpGuJ7DA53jOX0m5RpaxQWwgPPsPgWy
aQsI+hmvusCPfcIj3pdp4aD1YmT+4YYM+gQPf+jdtbAYYoYFWvh3GToxsbvvfI8qG7u5j3TiXKmH
Yj3PBhIo9o4+0YxQhIgUYSAixcNqNyy/vUgZMIbK3AHIkmdxwWtk+ISWtpXQKayOXFE1TzbMQN6H
/v8AQ6Q1YFX2T9LQQPT6s3GTgJQucUpD7xLoRDhxD/17Lpu68/HnrxIbKIXRvz9vVjQBj+efBBOc
C8h2taOYSLpiVuNUIsMAf7y3h1cTIaKhT9/cZ+wWA2mVLz4p+2aObWo4Nn0QfaY1My1iLcXo7+EG
NEA+AO06zY6D0BkOXVLiIsekpHzd3oQomprIOwcPr3h72fxfgtMtVWA7KtVO19cbxN7CkXuK3xs3
4HonMntX8fmOn6QsymS7YipgUoKuMRMtHzghUWDdO+FWzi3QmwazaLBL8RUgibxsq/YaP0RgCyB/
e4PyQFz8uJVhWsjKoBGUwWjNfnf7EMhNvW3jogcWaIz7qOKUUBDdpCQ1n0UwQrtyBa+KamXm3tfr
o7nJ6+D5swnPtyW2oY75LhUHyYlP4rtcsM8ZDurty3AnhBCju3QbCQpKvKE9IHF0ha1YWXsmmaOk
b4elff+trfUKTCWKlTgGJVBbfHPH8VNXH/XhFWri+CEcjjDRyqdhh9z5e+LAimuXj8Md49JL0eRM
mTkr9igwtPijAzMOtbrC7g/ZRckpOiU04WGgIsIo8eEsJRtBCuYAN5DKBLqI3+dl5Ay6a+HOAhda
pRypSNpsirP9kQAtvtUoLjOXhMi/dZ8H9VQGWfxEha2QH3o2SKXh8dmH57w7AAvpdS4v9WYa850u
soH9wyxLHfK+sx7l/phFfzhrk3HfXXpBQq6fxG8ZuTj5PtfEbiLpXwe+hZxvPfqmhwepuRqSS6q7
Y65JpXqleujYlCJwPf87OILVDD7gqD4DNVYLCsc66QT68SXl/OXxFFJgbZp+ifQrgUH6seTfGp7F
aW+4B39l6xnEr7JdKX7COvjiKzm39Vkj0rtdxLd0j6EerWepV5Aq2vmTpReUjfLpyeLW3dbbi/Qa
ggLpB5R4ZRyAn6g1geJ0tEaEcZnsI2b+uQmOANEqk1UPPxrO5/ghflquW/wlUgwv5GZtL93E5PIj
UnTbmA+341wC4YgAcruLNJS2jJVTQKZP8U7Pi9zJEjw7x0wM9A1Qbz9EZY3x3YEDsPWXRQ+91lp0
vS/Fx5zlNykUmttCHwReNiZDBOX685/FAc8XZ0NTUz9WRBILhsXw0q/b3VACFRuXljP0eYOfUZO4
7MrRD2E4JFuESwxn1bPIozTVDBugFKsnev6k5k3NOtuKxwfR5Zphh1KO1UCmE1xpFwqgB7ZQbQw+
wqF1GXINLdHJ7bx0kN0sR2q7obIVNorY5IufhTDkzvyEbFNJlBMSfSCgqqxbTyvUY80lzNjQnsBP
JQ9wHFXr6lsCrEqCNU1BEczVmzzMxk5WIYmg3I1Ms7xmMNxPRRyEKN8uf0hlTEdTneX+jbjr4Ut2
+nuXwhMnJgoPX0KWuIyIXC0xWxfP1FVmXIBmtx+JQ78+SCHdlqIPCb9ttLJyGGxsQoYEom+JMHVw
+61pRiAONNC7VKqDIoJTurRctTt8rrfvwX2QZnlJ+bzeCsM6MKC+3xqFISUBZxXtbbUVH9lf8sfb
agys7SYVt0JchSV9sJOfXoxmFmpoh9Yx0iN8qvJqmF7ZFpmSlh7ptjF79pIYjvrfrE/OJJyZdhRn
CjpSC5HTp7gESuMZG2V4cDl8ae3JagtCyk7b2/vVa2i8sHn0rbJ++CquXeNukZOyKjvQ+Ez0FYCX
sTeog9fIbywtr518FmxlA8lZrAQN/obdYevuNv8BWXg5FlIURRGrfKtv20QlBKmsjQeycHx3U+kq
tB0mu/uBnrnnasewiruVAJZSyl4QAJUn6iQDEmv/MQKqnN8Nb+j5OPmNeQI57ztVJ1Sxlvn/GTSi
45msKAK/1SlfvYHqQVM+QDB+R0glUGt8XRb8znlpXpzKf0p2LXBjpYqxBFKbix7Qkv1pvLiNZ7yt
3WOhkxwMnNMeGBwyiODRjqcWgzL1U4IRuuiMrdTfxm2sjJ5GlhKe44C8Glcv9T2oF+Kz72G8JeHm
K0PHwg/2GMBHTLZMM3SDFwgz3+7V0VBSeUuz1ORkOx9iKiF9/yL+uBy7++qZdzbfhzJD/eW4uzdp
TwtxFS63AINLv3r6Z5cCgcz5SLl5UDPWR25Gzot1b64nVjJ8suGJfEZvOubV5LORvo9QB/JOT3fX
Apc05QjypNheQBTg1POqUkv9q3NNXYZ6CPIXiN2gjbL40dT7Ik/yvJvKm3PULiP6dH5vBS2JYAyF
ukcBGVKLscKaiiHmMITSjlV5pvCh9IeKmgo84Jd2SC6hbcjVQsk4LA2cSi8h6HvaocGW9faZvstH
GWsR1yPlj7clPUUZHUNSx92CXFk5ef0JXAqucPUCZiCT6UzSDFyF9WUrC7zRIQ2T3IHmtE13ReUY
aq/sYS32px8IVh4iRddNoTM29iZBywC/6vaqF8vTke0G9uKwzga7AyRWnbl7ule5wLS+WXQrgztl
gt83u+xlUS9LWuYMDcTp0rZChuIc57EwuvfoFohpZZubt84FtgpeebhNt4fuMUP4TCDpWc9NjCGM
3yNN1kwMTiKypWMbHAxtLgS6ILViwP6rsUJj/Kj0zqhf6bIdmELG6hpYEIiFKbPE/bOlWmjExQOf
FsBYlXKk1N0uILFAuV+GUB7X81YSW1F+UVEkTOtp+QdIEBjodRh62wgtL0kDJBVkuZv3a5UFmebt
S0Sa0h0mDJ0kGt9zzJwD5QW5yWTi+BkxM64RjpmZRC7G2HlAUT3huf3quAcx1Up74dNnNM+pg6Z+
4SUbYQU6jbQK1uwnxCBkN4MbV4irplS4hn3TVtDQkeBP5dyuvEJVd60v5dBLS6T2iHFdRA6acWOM
Tub6LL8zmvbxltH3Zph9lGtdiIRfclEcctt2iP4fQJERqJlnk4o3ZdwxSkzlwKOhxUpYNn0eBaN5
SuzB/TkfD0e7NSwRlfDTFni808QDgRBkM87PmS+FImUHf3q+fi3WXyBnTYp+lYw3ZXCeB2UtEIzs
nuSL1BjlxpqGuSZ9dN8zOlMSNPCJH7W/Xd8sjqCfFhVCZs9fPPYmTKp/bWSQDPtCRVFyXKIvZMsx
odzZFkQcaOF4Gt+yU8w7VdnKXh2E2baN18U2PQrMocold+oUZa6imlr502f2XGeuWQmCWASnhTyj
qahUv+CTUhoDQDgk6b+ZFGPNw7HoIP3ioJsrxaU0DkeHOrcDCZ6C4m2klni1lvCWFF3qQGKOF6nu
CJTzfKcUg256JQWl9NdK/NXAfY1Qtajw9pAEL/4UPmfqZXelzn7Mgp2HYBXoht6B9oJmdCPy59XM
QFDeRxeiGgm59Pd6bEmrFn8o4wEsb6uZDz8r4SmZoqaC+W2vMJwqSdUruJV9asQ1qpTU9YGeAX3a
rz7GW2W6iZul87tKnNYwee+wM8sh55uF7zmXMnF5Z4IDZbpTY0efm+TtkXwCLw55LMy8pElP1udV
q1tDvND2kaH9JUNLIlk8XZoSvZLFktzgceFkkRxlQTV4LhzoifMpF67hQ5QEr98mhHDVpN/rOwwk
49WfU6rVrnlFOSgaZPRcie+e+P6DsFjGl2rPJBqpWVzMOilhmgqlOwVVu5DHs/1dAws6JOok9bvw
layrMGButLqy4H6sTm08dJ7wYdY2vxTGyVEjUskCNPysbI3+vhLONytodsI4e7stNaSf3hvAaGSn
etLFvcifoot1W97n3g5yFOSaqu2Q1OdCRTm9AYixcXjhsI6+0P0KXa1VNR6/aI0Ig7aRaflnLEkS
sSa1VUYgz2n3sPlxk706XFGSbW8sNjIM8IK4fx0NR43L0hURjm1jpVkOg2QorjiOGD9DMNycnIc2
oB4/+qVQmjGPzhrhXq0Nrl/soAadErlKJSr+P6JYNF1232NkVYLEZv/C89DCqvV99/425h6Pwe4M
qmcxzLxPp99xLNOM62cJPSR4tcJUqDGgEoia2nUJDj7sSq3+tHK9kQkZKzqa/AiANbyTFJrB8g+X
xqfWCQ6eG/BDZf5dvaWUWDURPnEIrZcNJmHZjQzptfUvfmQ+/SWH62JPrTMmYEIc4643M0lmcu82
CbLeS1LL9vxQ/earcZKPJhQzUWbZ3FQwl8avWNpkD1PcSJBMQuXrGiMaZt44S5wXaM3lLRDrxGEi
OBkE5xHkPjvPAK4c5aI6tWT1tnGqtKkfBeruus6Yeot8J5WOglsnViFsKZvLHfwP7DstCCp6I+1p
CoMG96doEXod1e3AJu3mFCIghVlOMRCc/qNZq5dWU4/6BbkxvVM3LA5dUb/VhKOKAflkCd0jBoXT
zxneVzY3IJlF8dEGOBsXluPLeTePgb+NPbo9xhIBCGQH42HHmFcyvU7IDBsVmKIw4up5l2iGeToO
8cuFnxxckDWbqMYYS4gWHGpc+uC7EkeBKhJQ26EfWxxOw9WOunFEbHmdTAOoGs+WM4S9aOX7B4wP
Ls+iH/MLZBmmRwJ5rOJPaGdiEKpneUsqUTL7lBp09YJaEsEf3c4wi1BTALk4/WzJuEMRwEx+zApr
O98KZixLVWxvgIFdtUsZL29gKx1SR0QivH4Ud7CCKX77h12o9UdV0LJWYcryUxGpvYYme98omKqf
hdfns1OaEq+QJSfXSgdDU4lYDcemcDSAwHPM7pzwEf5RRqGbGRV5DQYB8/7scfeUlOCVogbms3ae
9KRL0gLgOmNaBdK2QIO/Kzwe5/PyMCQNW0h50RCiaD6umhDcyyvecxhYKDtwi2Xhr5Q1nJAtWYLn
YQ4fjA6NeDcneqoN2a3MOPMvJMq1R0LCK1l6u6yum5zqUm/6JD0RNXrHe9aIe+KUt74vf3grxV5i
DKDB0G7wsuThUTnjYyS1dQ0rRsLkQx+22QNebjrWD5vkieJTHUYoXJ6oq83I7aE1mfC1yrlmM19I
dW9B0HL2Kh1j5r5O6GSiPsmhMhkhnjHb18kdelbVuGnBwVWJBt47hMjiiyTSAATpvoXn8X15yQkH
0fkJKhfuJHaPdiFBnkE9uzpi8JQ4oeukAEYSbhF2zn9rA+q7XJXiEdZS83T7h7ahz1QS3eOYmACQ
21v+IS7ZwYBU3EfdkfnTmc0/8N9/NHhTc3m5+l8u5L3YcVGpEf3e6W5KLzHz5s3HHA61+Ge1c1Fs
saKW8J6DvINg/oQbNDEO9xuKjRwl3qHaDXRlUO79yAUkRRhGWnMRRDYlXweB53yE+VgZjxDpfNVK
RZsUA2E49d+Ggb6apPiuypXcJyAsLcEDIkmvKCTTj7pWGvmRE9+zFvbwD/B+ZYhC7xBnHTaaisKd
DRygI9oD8NFR2rtcy/xay3hs03mj4d+Fo9lnWUBRcN8LhjGXEI7Xr8TTC1sKetyL+rTJAXjBwIqn
Dd3Ks6IB0LOaZm5EFxUip1gSo/XZIKvYEnPtVUZ3ukx/dYhakYpSKXCNqiEoSxj5mghcqoitghSd
AqHII/MboZTdC9i3EoakcFdASxoIJzwJ94bYJyGj5nDl5M6/ggrbfLp1XcGZ6azUtqJoRkuHAMfQ
Tt5I90/QYBswgFbdmX7o1nDHfiUqrjQ0PilK+4mj6xIl91HHpUMYrDVfbAozBr+8i9Z9Tww7dNOD
+3W1SvU/nbnIztBp4wr2Rf/BJkuOmZTlC2ISAgM8fGAu0z2L/5506ivkpLQt3cTX3WOui1S9+lAy
oRV0A9yp/0JMwD1Z7Fndgm7rfU2xsVdHKh2VntI2RzS15iDGld0zb2hGK0zsCYbRSbWThqFSTUAp
zFTnOU6gKO0DTqKfINYalKv+d2JqTP+tIsDjgZUgk2zEDHEMJrLmYXaINuUCEL12NkaE4Oh7rDze
Ik3dvvqspciEgilmHWntmVmJ8o53NtEYFzXA+l8HqwpPX9ecyuJRZuc4nHmGdvnnvzH7tOiBLOM/
/sNj88QGz/scWYGvRW0E3ZzcsTQz3qOWCudmd020+W04SxLkKvJxBdOGg5tj+vooT147JklEfMsF
+Il39Lbx286+QNftSd0HA96O9yp5CsjTfyodUres8cQW3w4yX+NG4Ze3TWSCHlYveFxzdysjyOR0
KUZdUeMFR/pE6oFQ3C5COztb84/mX/jHK6a/igk487Mx6zyBFHaiFtifdfkYMtGtG3tQEtgGbCMx
WsEP5k6JJPgS/ARSBRTsbpxaZ5zkW10dEe/CkNO165TyIvoVzhGuS0HT2aVU1Cbl6wDD9/gGPgHs
QGoljmEzjh2vyJwtLrzhREVugRvCTA32MPDjXaYoKRB77GjE2mFeZhd6J7tKjWgl14lZjQ9LNMPA
JDyQsnRamnK6LPHsJ5DqjYX51VTpUeo7T1gEGhOT6Hjl7VDj8zO4CwCojRITxXa4FxKpcDuglQqX
WwCO1s6AG6bVqyyQdgl1Hc2CmhXbxJGmTfYZLwBwNaOqeojiyQ/yQ87irlLJVeRn/mVDkTFtyYAp
xtRZ3l+ttXW9G2M7ZD0RDvcB/yce3MsxalFouq9Ox51V1+mKKdMACYOZPZ+8FW2UVTkyZrRnADbw
FyZF9nP5XKV/GLavbBTmRBhKvzGFqHX5CYr38VH2Kk3wCLOdEg9LEmRA9gFRBNYYw5MeFliDfHlj
uV5yGC5xisjPmqW8sSDiSwKnRS4abh2p2463vMJe13eoF/r6dBxL8UBAXy4voiVdls0BxjGrtqAw
i25bqFhhLcZyxNBnGw4V6/1SQcHuhvlkzYrGYb36WjzZdIeoavDHllSRYI4Q6pg0rz0irmRzN0Z0
ZvCY1e+sehfSWOMmmG65FVoh49E//8T9XpuqRdxda04vuPSEXqMznSFaAjFQit+gRNFPM+OP0Ui3
5QxE0OJp9BXKMw7ql+X/1wpkfK6cPkDssBelzltVSkn7xVBazRm3bCnPE6bz21fVE5BBzkrfLsHq
14JBKrowkjeeifp0mqByL0KG+b3AL2TsE0ox40fXFnLUM/PN9R78MguMSJ3m0mUl9pBq3aroKy+Z
06tvDgmDNQRH4heDGhm4N3Z8OZlzplvCFYTMgycg1AbrpN2l4rFjm7LEdCWDERa+PLobhKZJ3xSl
gvxrb2cBEvwPAg3MPizbpRJwHKnQZL7h1nusvHpyn2QASnhpVcBr3gwIKd02pATnKeBALEkjiSUy
haxcb0qRcHel8V88bWaNtqZox/QmzzzLxO8lMLa9n3zpE6T4PV198Zx9SWqypsHWfxhD6ZxVVsNx
OAV18zX3PKi4uPoTD+gd+cbWsDG/NR5uk2bR9BFjfuUmjmwDCEzfwajlUr21jiZE5CQPwsJ+PGQN
KFe/1qxZ9yH/RuFRUBLc8HXTHMD2qhFBQqx+lJhJpq1pcmeD4Awc89Vo2rSO3MyjkjoY1hGqUYoe
Q1L1XzXywIz9nki3E1YmCI/TSfM8b81W6+oDRn1Z/k7mBYjDhdMoBT6CpWWooeIPqXCVtu4MVUYb
HINE5ZABs/Zk3q3eSDEOybblcZikTHYbb4I+FmJkkgjJccm1rLcnujqJVg8VEBbHzOZBPEDM0SBN
/GApng8a1NFAr30UfxSHZwZqzmJEcEZnw0t5poEcjgyPYu14rL3H7JXxqoLPBzEvvYgrhsqdKdZV
mIESTosaJ6Ssc/GcGupGFJhcNmxyV075i48ovcHVXPT4EKqLUS8Twzl8oqXT+RLXdfSKnB1SONWb
duxCVcjJNKN0rKbTpmP5VwuFsIiQYSEhllturb0ZXNK6KoYbd8eqaWZTafuGvmdmSggD+QQufKyh
tkCcAOGazIVrVmVCLDKFXHRxdvy9cJsMiWgZ7g3iVc4iJsM3C24iTuYJ/bNhBjlB9DpLnFZj8AKA
VSCpaWjiW37vPDJuFHiYXDXyRBsR2G+HLovdeHqnRaYcn9eHtkFl+ALjzY6JmmiO3GvnYBDzsFN3
ehxYzQMi44zHH4MbUkWOx5z4hBeyfC4KpnfxwYdU7OulOWlsRWp/UmSzdhe6cNtCPXJFsTuCtvBc
9XPUsrw12GxxjsYpnlmzf28MUagr3MWvjhXDy+kunV10s45FqxtaUh8bPsm2nJ3iygfkU4sCuTUh
ZRRJNOeGULaMbsKODOjq4nw1KTfvwWY802gzYnPrhdznUPXNEunXy9J1fVtfC+2YF+AC/zFs1Tik
53qe6sIukviJnk6Oza6zbYWRAfaovkadKiFPmhaGSpyaPD3eMQ1MJ7qG+O25918O6M/yOADMcHSX
rO3EI/fWoH7hVH02xrCcfn41L2yiEA+tsKk385/1gJd3IY8V4e3FjI+3/I3vW0uSrwsGMqrMWOsf
gkN6mpnQImw1qb92tqQmrxw7j030A4/IwLmwUWI2fC3N1oHNdPpauVODf7YPImUi2sGeOhikWUwH
zTmFAy7562+tUhl3mdqvRUcQLBqD78Ruzh5/jzBk0rZN6egfmBc5F4R2JRCqjdWhwEWTpZwB8ntD
vgJf7jNqKVv0KjrT8+6zBcLH+M/tE2PN3XaqDCsKjB/kULH22o86mFW78OCLlAXSHFqeB9Rtl6O1
zp/KNFfS5MXlYgHjdC3OZB3a6ZOPT5FfB4gdnbGfe6Oy+Eggl9M0bqQBooRhciLGbU2P+nrMJGJ3
ZclKzdLLxOeP5x2PhvEOu4v6SOQJfIJ0xPW98SRJQMmRNMxpF07qJOXza1Ztl00MAjlx+TYl6wtO
WU1/Qey0nl7TK4Yvo5VLXi7GDEAwl3zLQNbGwkJkgSm3EbyqHYq6I16lyjDMIe51USpeaKot2+YF
HoNt9lVUXBfmUnt5WE9VfAsAkF3In/Gt8VJV3CM3e+PoXDR40KWKuQGtT3kEctix0Yl2AFWqnRvC
EaHEBxlZVpFHf/cWgo7VF03P8LhWRRyKCEpCc3RYZBNHCfCuNS1nOpZhzktdsSZk0auYyCj7NGyT
hnygyDSXn8jRfUQTiAYI0Dh5X5kioYLKOh+IeoXibvLnkvMHwHzYZWI569zQmedZMwjbigNe69px
jcHWp7h8tMSH2I7M3TSgj7N9qkbjolswRIi+AScwUUcOEDg9uo0pw++TUJGMXVPQxV7NhhXL4PQ9
yt7BpvfuuwtxlFLTXgrWMyHcWgBh4xKt6AUuJNuFYrgW8xWQLcuCCmIoRsDDPTCnD7utc5pFFUz0
jJ21IKblxdIK9r5GuCDp8eHDXvRcD8b82rJT10OU5sNzvOXKmadCZOMJzB/9Mv437oqBsgPqLg1T
rM6KXZzGO/daorXPkQlUPaRE/AJaZPg3SrNRWOQSCOuVRAwJUR0ElOFgViDXPyvIKeOXjA1N+TjB
4xoFBPtrbOAyOzIy9xtYb8xLkY4081AoozUXygGC+0B99WqruXRkx2eIzOoOcrCPk6AujhvSPrkl
vyqKefi+byA3+6Kxe8WKV6GL9QsuQrQQ5Mm8qIB0nBHrQWxLmH5reMs9kJYfBsaf200oYbAmMx10
l82ukErgRaUMu3zsuD6Pb7S7Pd2luiuHAe3puuIO7hG9rW7zu9gfXu2iUrWqF8pWEcxYJXj1wxF0
ZoBWcFpcWwsjx3oy6rpNF27Vxg9t+3HneGyklxF8/DO47RVf5j+P5xwStmdfxXlKAbpd6hzlHuWX
oyAwsy7jCN9wFOjBbMAtR8JMXHs/KIr2PY/NepLVKH3S3NLmDbHrFZkZkDfoYus1JsQjXEdvJU/9
JxDUOOHmmfktYfCATvnvPz84aq2I2F8L4AU5aKFF932IokbBoHf8l2CEpvV469dmLf57WWGb1YhV
2GXPWEHwxqiNxBWadvGrou9hw6mk7anQlQ+d0ZBs6zMgDWbnQ4lWKM7w1if2nlF1Ng/Rew2U9Gpm
IU4+X4Eo7vYJ/KEBFMr07MtkX2gpEPFNSQHn4mjYzBD9lUt+/WNkvoWB2EZy20lrtFKqyLSomhWZ
GSOGr4/+OHAmVUeL4gKrDET7CJSUJZ9zxq+HE6EGPpDatxc5oy5vSVKF0oYmZGXeiY3xoc0cU8NN
I5drKPipQLTnXriL6gvGGpvhHFh7f5afnbXKy7UFKhHR6GwN1Ee92rx9u0RDVO/xLtmHEozijnuE
kz2lWg+Y5Kn6OsqKvO5GA1tK7SOQwdD3cidjQULV1LVtR5mCJwoQhooZKAZg7A1aPPSagD9GBJkU
Jtnw71VstVEJIrLV0E7WM4aSTJzubSx7QYHmHVL15L8HBICWvSzssTe5hKLn/IC4obU51uAculYB
3T8tYJ3KqEzxQntUYljqMkzUmEk87FWQSLHD9qu2nxz3ZTdWd9TVVkxVTHRW+gsAkxTS3R+oP0aW
dx2XZK6mkIcproGZ4Tj5eRwkdPsPpecS8R8wjHlGJPHjV3iguCtyXSQJNyXM75fb4o5Bv1hAx5XO
27X3w42kMuKKGkyGIWw7e+RqOXDCcyuorrCuVZ6TgU6VBD/HLWZfjRjWao+s1FhgtDfMBNpcTg6+
sC+kRaHEUKx6vNSZ08ubbGCVv8Hke4ckYmnknD3g9gsJ+z7WZ0nroL98A9mw682Nqs1mNCddTAPR
DKNp8XCz/rmi5bkwU/FPpVnKSghjadremoPzx9qIk8FkODOj1kpAn7VBI7HcgtydC0E6QJJpQZUZ
8aJyq/HGnkGcLbs7LIcmOY1vs9ks9onr0NLd367muHyAS2KhKih7ynK/dmQRjYkgXy4vIJGmkqZc
i/6z1gEO0jIFnfhWNSEDlr+EhqAVR5w+/IH8RsnJgMgDhC+Q/3W/9MtmyuP0g70R8Y/IwfvhUHmt
uiRTO3GN3tcm8TERR6s5at1oDJqX6Z6IhfDZNgpCdCCKCr26it+LjQfX8IJGMuR7no5VWLYZ+cE1
GH6H3qqlvuE6TUqZOcCvWbMBaOQrYEqOh4IIMBWk/2nkpjGgecIaxxqrvteYxal3tRZh334IFXTr
O0czqLMdq9YXHy7WT3OMKLrND2k/NNGV2Md6u5yKIYRxUvm2giIX440fS7R939tlVSsOJs0MKVya
rCuKD7nKno1TAJaRdB3dkqW0tkzjlnmPaAlWxk4rHWh64JwZhtDypzRYByq+eP77EbS7NiGIe4CX
WV20gwE/7BVzx5EmuJjELdpNFEtAmBzHj6QR/EwsqvqRofAllVa6VlPBptmXWuImVcIwBbDtFkxE
UWkkWcXaLVsqI9AVcnVBE+NY7dm1tbbjggTepPO5veo6EnIX6btjK9/3fatcH//nyWMJqqS2pn75
W6KcKIW7umfzOTD3FPPnbAKA4QATYzY3OK6nZ1xLeevILntkB/sSEj2X9aJL/tx4J0H8KKeQCvrO
fMqY8szNbmo6icUhQQMknG52x5v0qipYkmuRSLaGxvsiumlGmrueMKxQyqGkq0pFPzHMPpiJn5LB
LRIBLul4NH6RBXjm8zqLgFZGvafFyPEs7ZoObzrBpOgdhmEbD166+AMQ9bhNrbboPSIwuMX7O+TJ
Ej3gkbsambyD5LxP7A00MoV4Gtnob3Zx7gfbupOnFWFcbz+GpOmJ991dIPiQtS8IJo7+KE7AJVAf
usMq6qxlxZuceleJdxhTkUhbzUw5awh9Hq1T/Oqk+8VSKDCdNe7Ja8DFTHr48P2utvZtSlmecTJC
oZKRIpRjVYcV2kP93UQI3aSGPr6ceOt+SjNeg4L5m2KMDDKQLpi65wv5qwQ1E9TBx3k2b+gq5fC5
71hrNSL2n+VZ9dTQOF9iiwDA0dSVuXx4M8dvZPjz99Ls2oEwHTxVhbUPGO+GrKgZM1QHHEnWcKA3
55J/6K7cQR/5sNabEU7WMWZzBr2mqLRqax3k2OSjTAcHtNLFtAp6Jfcjdl0bAf2gdd67nDH4G+oY
eiUZremwgn7ou1HmOpsRED11p73lasGBuoW5l3PzjWvuPaHT+dDhLS1nbNocHuFFlFxpcdNUfG3y
St5MsEApBzdd3lmmq5bQ/fO1bhzTz+1j1HcOecO5ljVfytRHTBdJlXhnEEw8KZSnoIh3dNd23MGH
rSBKsykE8FsEglY+lUONWqBpKJg/e7pfVyK7ZqL4F4dzhbBJUFoXMb2KX/DvttKYmzw0td7PYe/N
9NrVZKlMkx70qzr3/ZLtVRkuwLdev54huwDsbWIm+LR68Bvmm/1BtbB9mvcj0Da/G1nejrOe8X2J
0AOZWady8yxh3vL56Z3geNp6WIMKaonL2IQC+TJYWDBJs37VoAwMBiiOhWf9yxmSgzknYB95Csje
GyLm+wj0ic3PjiEYw2TGjWBQP9gnC93vIodh724tHabKBjyjhJj2jtEWNrjQ0COzpkdo7jw/Yi6f
yPbkdBmApNXd5c5pDIOZNNPl+qkgKOoq92M/kVwn1Rs7C5QaHMBiCXEB8M8V+beeUO18DMA6BgrW
luhXFM0UxhRp4+umH333nBtLR9udwQ5M2G/PHZhwWKKwaSHEY3djjuCRbt7DO3E0UaNf6Kt3cxUw
KWojY6UvPLkVc5gxhteam7FHQ4OAo2jNEx65VRtIYcM7s6NF9FMR31k3MMEd0TOwdITaCO/QMu9N
p23kDwO4i5ShAxDamEiIRax7UzYkkB4i0ADd2b2tm4ubxXGU1pMDrg7mGK1d0Btyn/49JRE3LsWb
IqnNUYwBvGyl7BAMjWoKKPtiQiHdI5ELc2X3Z8ERZwl+HU/r6wRHDFLEULYJrmcDMRrUfeCD0Jt4
BtgV/8d+mTq7aAPYADGQNOfKZnpsxs7e/5aUK/FemBd3QMBzp78Cs9ZLn+CfC2nBc4GZgCRGatmu
cIdUw5sq2ntofOVK5uEht++yI+evuCgD1Cxj2AtYYS+SXBxrWzfs+Yrj4g4dPK25ZAamnN+uEI31
AJ8o8zqY4sxRd+UxCTQxY/jtGZFfz02irvVd1KgVsvLZNMkfQmFQBzO1kJFIfVu5pa7BG3MI/EiK
ptqbAyYZTKfKE7Bhun24iNrh2UmzwVevfvZfpyjrmCK5gGARN+B47BKBBl0yidiU8by5MOa7qzdv
veG14xdN+kOiA34XHtpjKMpmLGgXqCFXBq6lh965KOuwrfP32MpoE+2e+aAUpz15G53eORrTf3rL
dP504sJTAV3zgnogZMbRLNqJNPKqrGUnCU2fIiaqt74HVZpDjFVsfMjADXj7JPzBAWNn5SRI99sZ
5nDnlw57jONC6s8HBDBQzsMgrOWhsVwFZg6S2YMGpgp0OaBGxmWaLWF81GRdyp/RbONyKaAEFNHn
WI1uCGxHe9kLqQBKpYR2ZkzOQkfMqCdHcRysc63egBLKNRGIzYVW1fRj6pWdfPJ5pndVDNBSxi0p
iz2ujOWnn5FsKYwdDe+bSE49jEioI4JZAH2VWZQGR9PU6lr6vMYmrqvZ0nOzfJKRFXdUnq4300ey
xoh44WfKd6WaOOwvsFT8i6XycJvZ0bkZDCot0NATR1J5JwAdHXPG4BTwEF1O6z9o5Gt5ShERHVlG
Vkfv4f95xRF8kTlTgGZ9YD29dn6J7XIVWoZ8TxRPcVvc9jBC0dfao7pkz1DIsitDQpF+ZT104Hae
pMbwiqyccmDJgYa9z11gNBV8nB/fIDLUfEFnq6CsVF/EDprOLB+cgaQlASnBn9XaXJkBrvtJvnQm
01+g2HpHFaKSjfqEK+yGnQsiAp/5he8WX8CXVr+c/IYqA218cGtArOj9RErNNpjF6bmncUIU3J2w
Xuy/9JvtTrT5yHepcd6+rhXnpeYeeJk/lnNpj/UVsm+ZlFUjOFZcuQ1mEiQlGWebtRs6HuwXRbhW
g0mZ7hrvTnc9oRfn8HNckv3Evs78xijdHC7JdIGm+R+BjoyqDogTQviA4CXsb4Cyp/PSG1PjJQQQ
6pKTmpAc2CNUHHb2Ln27BZDUib09qed2dPz6TMUe9K4+GdQgH7kg9r9/yNhrMYaGxTWJBhOLaAFY
UiJEQ1oucJlIdQJ+2DqWUSwe62Zy1s5C+ZLpVMJPRIgQzqKuwrpztuefHuhFt6UfkTpXXddLDvtP
BAOyJkwjbEAvDiwHhshopa1f1sjKUpOJva6U0C+u52BW91Gr4c0QnQVCisGDsO94NcOsXwP/THlB
m/L/vX2dP2rS1KtTPNa3CRMlGQxu+3ggYvLsDVpqIGiF0vhgQWIgHnGmnEciO88T69uXmzU5qFJd
sBC6Hws6Ua6SUA8YPQ8xFYFcQVFxp/+aRLqyTejfVA3+I3lA7tLXAYTBpIhrzF4t6BZRGYvFzgz4
IXXNsFMy4HlY67iaYTDQ/qS3bDOv2KAmebBSbhgUDWqw7VZJeP+fZZPDU9nKVx9wyRA9Hk3k8lPD
9Tb30mQ61fwE1E/KmMAa8W0jv9a20itH4jvUa7FhqDx1Jq3H1Mgu5XGK/CUCGRL34AQAqhy8taaY
fN0au70dBusd8aAT/NbY03gLGGuMRSMWWHyAHeM4ML4gEjc8TmXoXHv5aPi2YDRvv/YUnxnKFK2f
tSO+snMbti7TW/G/+mDvhVGfIumsMJpVlWjvrimC8Ans+G/LsxguHPAnFg580yQi8NVxHLGBCqtQ
h+5PYTfrLmcpCI7uJ7CYIpTeh6OyhtRlHPQgurkMVGkjClQj2FQ+ZymQgFu8YBeujCT5H+gKSJE7
fd5uMBdDFCotC3yteSSpUu9nD5TzKLrR/TTMyTKO+X35H0D0KvEmodsBG3WEq0p/BfoU1P+nl521
9NmjU1RP/JbmgNyjuyxcK2gUsBl9jOjil1NEeSQhyrvnKxhwP9OqLi3FgS9MNUkSJkJKosp3Yucl
gxOdxA/zQKQBMYv5LMHPLYlKGxGYzlZS55Ga2xQPHFwWNdNmATFaBUZFuLgfzW9lJzfdXIjZpyhv
Y6s7HfzQS/CJQ44AVr2hymoH2Y1pKTSINF6LMvwA2nLAS/rjoqdGEqqAIDBVgJJFcYgEZTVd46EC
/o8VbCe9iu/2uzJ9QL/wTrqM48CiSZl1kF0xrFS/K/PklJurXP2VuRCyZ85FiW829pfRAq0tewK8
EaqYQ6fmsyMC/dvZ9klrZz2GwaYtCQt3Vvp32/HKyU7eTsm8kqbGFz19K+7q6kJCP7ovx7m1/gxj
4l8KPbjPw92UEoBP3tr4vvWP72+yirZ/yieLFjehZL1q1qRNESpKW2HihQBFZXsQqxFgkE20rtfQ
LgMeIC0VrXjoZMZKVAkjsKTRWS+aGq7JL33rStjkVqf6n9OwI9BNQ42yO3yWR8zmqvSjXqwQp9xk
0V5HopBV1mNs0a7E6XEijwcpIC9k0rxb61wdvOlIRFG27qlTU5Z8lFITRv6JEhSINY6fdHNPJhi1
/t9isnRcxuBa/hmZEn245oCH+pfYyVUdEbdvk41jXJKea3nlVjTbK7VyAauB/zkjoK3rtRqhzF5d
BbgkhKOwkpPwfcfI2h/loQcrgobWzO3/Wv1knwDT13bJ6gy9r/uCwHo7/L+NN6Pd9lOFhvsOhzgt
iLBXXBmu8TGcH8yo84bCH5VuM7TxuzdRqvW83zY5e98TVOU1/xyiVB8PVnORVFEPIa3+4Mrjgz+b
Xziq02/FOxNiZnwW0W1SqYN/8+ktz2Z/W00V1vz3S4TaJQYZ+dE/TXh/T2jKZVV4GjM31B/NTDAF
//8ymPZ4Q+RwHnku3m66rAFHOXRmIQ2gBCoph0Izbk8kSgPFuGDeiosGswYt4AO3Qa9+a9vwGcp9
QOEWLNu13MSh/txUW1z0BFY5yIuD91ZSMnyLo3x54wB8Sf8HWaI/WiFXZtNMiEUKG36NXL8vGPKW
aJvKEXK2D9B3enlrmW+xGmLC7sWwgV+oGgcspmLgbuKnFPwld5Pjzs9fRDzJUQFx+q4bkGXeUTkh
fXzJeiknqz6lBM3X8fZB7bEoLWiEcvWbVfTfnjPXfqFoDbfb8Lzks1WX04k0xrOOeRU3E571asnz
cyoyXfbNvG54YNePxiPlnTWOpBOvvvfcFkPrkoSx32AggQ7T6Dd6oF+d9zZtokD6yKZemV9foQ6B
O6Zqd2qFcVnCPerB28QasqJ1mMA/nhy4/VwC8EpgLXeGrSu+Gkbb+aLma492cAEh5n8eMOzxj4WW
EN259j3VErY4fgYXdBU4o7uc+AYMOOE9uPWYZtgxXx67phnEwc2+UYpjUw9tkT+dZumm3GcgqlB1
XVk1skideTllKbGhgiSi5IzvnKPCUHHGWlG/rY3XDmTp7iEbB8MrQ9cFTVhojl/3r1JM04CHPkTk
0+K+kimnuR/v7UZ9SBDge/x8kyKZ9rMVzpte+mBioXdmrs2VRpmt3PqKDFaXJ/KMGyQQwFf71yvu
ARdjCezq0X9XTrv5KRkbI171MgZWT7elrZx/UkVyCvYsZNnsUSAPtes16yYNBvmZItXzER+nbm1W
p9wbyS/8aw44mqvZlJ86I/lFdcRl7OtkTosCVP4+unF8uNp7HyMxFJbo2sdBXz5oWCFusuU3t7zS
coX6zVXBU3RVnThcHKXpwTOCU3A2nRFyVDiTBcjKqAQxMMjxSmKwLMB++Yw4BOxYvTi5bXU1iLJm
U3d7Ms61E4yxRlQQrHxbHOOoXoEl4EeLr/HNndeo/vqXQTYaHGtQDxNFgO/PQdIKTvYj7LbS7e7K
gi4JwGY4rJ8BZfOzx9RpUrYWGnM7BaWH8269g11ceFHWQMc64txv0XpYm7/i/o0kT4XUNZ/lrui8
wpuvmhZcXrWoxyptw8dNrc9HurAaxs8PlU/wi7bUijltagbweSSKPy1E9XvOy/RgM1J/H29MZXPj
TjBQNMCecWluUbntYLlQFfJZe98FK1pTOXXIaniMv5GUSQq29NHhiq+0+Qyj4YM5qjhruL+9VcLI
ZOtp9AHc3dbybk1iWIL+r3aKoQ/mFe/ZNYn2Z8t0bFJe4DMzfDnxLCXZN1PLwuThZ/k37egzxGHQ
9Wh+SxnHL5IxUcPcjXGjv64mmNuMZC/84jKTkZ1obSgpOg4b1Cksm5G6wns7TlpuCH+7j9I2lQf2
lYG8/cPh4/UCkCFYLIZiJzxpFREDN3iZSmrBIx0+b5S3ZVpravlA1WaAImGlgvEJ515gzmZ6vL4c
Ex/AYnY4hiRGeI3gPAP1UbUcufXJXXkuVDrf/1r1OR97IMSpCmuiI3ZaRG2Te5wJsIeD5HjKc6rV
ZRf+5Sfd7vkm6upiZo6i5Q07W/94k1w0Zj0+DLPxR6oguVJn12SKx7xrKOUI/MGZ64gwWeQ9fTYq
Mczm1IwH4mwd9jlPA4JSZWLs3CcdRa+cX/a40K+vKMEGFq+5FL5/TkHt8r19PykexPDncLCyLmkK
cu1WXczcxf6tghB9amn4MPVvCBXthWzrGX5+lyU94KjeCfktQdoh3x45PQ8ucxxurbFVTQ9X9Dm+
hIIvDs3+O75hR/Dqf5UZOGKd6ToCDv7dsjXdWP3M/ZAwqIKX/B6Pr4FpEyG/KkdEYVlwshXHixsA
W+A02ojI0+yha3guW9qzppnIUKfczMnKPppnPG88p0ILzHU1z15UTP+EvxudKWctaWObCV2nDnRq
UOO8UmWLMPQxkLZWsNsWfrCQujIRmAGUDM4ERcRoFGhvPIYg9bLK874DuoF1tXwuDqdUdK0SVaXP
+Ant3qqSGExF+6QnFoSfFq9lBZ4+Vka8du0Kr7C0szObA9zGwQs2mSAR5jpsbN9mrJBCxX4J9p/E
WzGMsAWE+stwSXJVZj8GXFWQAdltGLQ8vIqteg+klsVUW3d0W9H50B6BSoRMRNt6pezBWTR5aDN8
oI6ypI8O3Op2FXDfrTEq7pCjfA+/T8sGyctqcLe6mL4N2+mb6qBAc0OCaMcr9jmLlOAVgScfov+V
eJbmzhzP4y9/ecOT9+gXw3Gk11138w69KK6YwG1K43NK7L3BJU9z2udha609uQJwdIjpTZj+GamB
4w+G9AgjDjqd1bo85GGZXooWdJsT1j66FaRMWNW5s/y7467/5J1eZXX1JByhwSLo/gGUx4cbmgKu
C/sxmFS2JJ5L2ufawdCosg93OPecBwgQFIIr5O7Lz6Uj89RD1lUWMfuJD1fUP/dCLJs/Tml3nbZB
jyeBtJdnmiO79TcQBKiBkxt4LCvcDcu3ditHMb6QsBtsBKVr0MeEEQ96u8/40BZH0myiHWi4Dz5N
K680tnva9FH5unJXTh5Th+8orgIjPtQjEcMX5IvjBti+Y8lmLCwNBZtOmla76Q8TF9Q3omyacnCG
J2r+SuC52ruw42EwQ4GSnEZYEoWVhXoCid+FAbRmN/fzmtn3SxEpv2Gk7hylwWwYAsaZH0a8tR8h
ir54BGaJ4Lti3Jqu4e/ClZCvlluEyujC2PJUqKpqI/pFtmlBPf0xsvHSxaVil/MnvDFaOq/mpDjg
vmBkooP3aAUaQ3XWSQdzJxV4AhczfyLxzs7i2UgXqo64z1s2GiWSVrjwmqYc/uLC/wZuGpiXrXk0
7do7Anb9EbwTr2wxt2/Xxv5CyHDYlSIM7JVo7geRYwwK/uzsLSF1tqYrAPKD8KMYd/m62StcyZt2
lo6sb0lFEQ2grwScVT2jmwSxgFIpwEjHZEUoqFIsaEcbaUT9PJAD6xJx3qGNNFZERkfjRwx/JpOE
JogWPTdehxWML9zrBeOCe23h89tceE6Q2Bm3pjd6HehkinPrymsNtzpYLgsqXFVvE9z6mt7okDV6
fGWrxPkEDdd1stuBsTvmIru4vCo2UPqEwuCTPF0SmKTtWI6zZPFuYtwALWUopVhhtE78a+YR4e9r
vYmUsQqHdiQWVfrCB4Kj66HInmlq4wm/0350zjETKMpWmlS4isoXzzUvRUzEUuywjg5YEQkEqzqG
AqFUPJKHFVNeQJTNn/1VzRk3vKl8DXByfSwdO3RIdaPTAlxHi1QeGEgsxKvGFZrMH3URYpWG9aP/
NKXarjGBfJ0bGoUmRtdUGxRtNNantu9gkCmGv1JvQ58vKazI2HQ69ob+PzwAg1jcyPa3Gv8cLHbK
0zTVhqbz6/HfpwNRt6IUMArkz8WE+nRN8wSj8YbEv16b1CgkJgtl0XYvdQr/PFOb4bcLSbBPPtoq
mKYE/iBLDJlAahHD3GvC9GgfsSM2v4XplbhZRWNQuMyl4B4Dms7jI0YnWCPGzqxDrYGkI5QQQ0tx
mkSceBeyhkNZ49+yE7GReOEzv72X/FrKlME1RKvSoWVSBMtH+KdKAn5n27rIH3U74UwNCrxqKdty
zU7KEj40Wcwo+WFaeQ56DXgXkv7cXw6d7DETKivm7Xfyc5IUlY19jfL03S7N2pcX4pVSWr2s7a49
C4jbeMtzcEi70uZfT/d0gRerXbjlsb1YYHvCMx16cU735pMkoIkjuhwVdYTB3jQjBvy9z6K2AzPB
28EFOiiqW9V2oXwQKnIIYEqnziIGgIaxcip7DwjVTC0dDav9gA0l20kGaXqtK3w0BWq9pZSaLb6j
hqGr+TW+flW7PKGI7jULX9lXKfLEKkDRoXEmvdaO3qJSchyF3uA0/QAadDIqQXXD8f4rjdu8009v
4Qh33lomHswmclJXpQVT11+697hS3fd37MvQ/oK6HUXKYGlF19H82IQ6i8Pt3BbcpMoRkfRTOoU7
YoM+4cZwFh/qgpko0N6YfPuj8ruOW2Bp+MypgeuDgwc/Lq+fR4N9eMtYumWMnKD/eCge/VVWHupj
cucT6h8cUHkIig1+l4c8YKeXh4IYg0Dqzbt27iVzajdK8wpRxLhraidFw9vFhUZQ6/466HBfXpvq
VaF2wtrkK+7faiJGvtkjTsk0/5UbkmGlMhOqmKbfSwbRZQQI0gfET+0DneVh/m0+pppVwPYR3i3O
rVpzvx41azY4PSc6c5Qfw0bKB9BCB+TFPUfTbqluZiY2aR0r/sAQa3DGT5F6Dd1+7nkvv9zZXd7E
Eq6vs3UK+zlIshYBFbVX3ZUtG32njB7Vwuenn3oXAl4F9FUshUabM7azlwA3CbZ1CUIEvtNNdDvT
OhzXgTaL4uop9hYApmrqKz9KbcigEBbVNiU3Kj6/dCD+hp3is8wNL/gJd5JaMi8PeBmlAs5af1dy
6sdv3EWd7Fz1u9WzQjkuUd5cXK13n9EBFXPTAH3FEiVPlDxrc6fuZf/7xHgg9YqhytHadZWhMare
CRO0CVGPhu1nEM6VSLbh3WTewwdhjM6KD/RuzD8/Fkq5PjGH1YrTvpA+iLB/P5mXShRioumYrgao
QfNu37oinDmvRQLjAStav5mRR8egxyuPOBG74wRZ9R4OETfEvTiAqLhEDUZlFPL2TAJhV46amFjq
vNdAfGhwLWxJvKJuZ08wlrNMq2TX04XKzR63SgPWL/QjBKZrO7NUbyv8NcLbmJlWjyd6OwgBw8sb
0lelWO7eEmG0NGg+EAXlGpXQdhUGy7xdFtkkSFMWlGyCwAUkvRnsS+ppI5sOE8keDLCPVdKHzFZE
61X2IQRZtfvfAGCbrpKgkSUgErL1FibNKHeEAUIOtFlc1srepErBil2xNNh7xPu1CoDldolTke3O
zENT1UhDYk01l47fnLqbTZZjEnDHdH6PzKansIockmE/DcLkNGPs6MLdhAGvyB7FiuLn3LampTMo
RcsPH0smJQQ33dhOUnXcHk4Ft5ZxWTnpVOY9TK8XFVqTrjlzd/ayRMP3VvLsNc5KaH5eyijGorXv
RC77l9kzoTpfItb1r+amAKOtZIAhhnx4Xun9N+xo8gIEC8TuptN7xzBN3wDvW9sJ1tXCyY6E/v6q
3Gr8drwcTwxa1hXeDsqaUPKHbp7nv0LGfwxQUw2+CWePKBpwOJPQQLGAtAwyLszEoESeIsZtuLHs
RFQqQ61lZyKTSoZksJTE2rIEdIowEdXQOFKlcvIFJ/dRXulAeVpjxHDe4yKbz6oHi68XNidxgAKf
ZGouzLTxp5NqDoEVMK2IMtHURWeopk8oUdPRAU1IXbZNCv+M8EMEscBD28VlLZd0bUIgVBtpyRRq
8VJj83rz1l2hZglY3Zkel0AOyc232913FcgMxGDgEDzjCYf0gKNH7S7LyjJZTulUmW8R+tajtftL
kDsQf5kc0gXT+3uZ8rv/WOVxlQTk+NprjcfuRFdKLWQiYerpiJaCQUUw6XSndKkQd7qn8SYnpYXt
IvEFjsNb2Taq2JA+evaL14zH3bHQvn2QsArjtltMF6Bm3zYVVe1u/Ra05mOttiXcI1RnekxOqJdb
Lztwz5F5JGRqEolLM4sSz0FWyHyqk3miXKDc5VvazhxFeiv6ip6SLTACznUv216wYbtANdvc93OS
Y2CyasBEqOzDVskCcuxwGQmeYKKIK4G6pG6VKTOACtVfIuRU5NebZrWYr9VKgopL+p8X0nUJPa7w
VV4btdlDxKQcOhpW1oprRdZPoS1D3qKHOHFdJSHHGLuk2GIY6d/4iF9U4W64Fvr3+5uCIe/8nw7I
mtdwG4BvnviZKtHlirJbiD+pWiU/3lj2JU/xZLlGYAmL+iMRN66Ueg44b0D7KWrhSBEzTeh3EpXS
cLjYZxkyaGxN5zx+aZi5hPBXDBOvoAqNJ5rt54ak/WVJZ6rfNNc++Lzvg4jZaej7Ae1KQ+PkZ9F6
O5nO/QH6wKvbS7wBvOl/KNMj3h9+SpoMZWQGv+sugvtZ2fP2LTRMuFhd+pXaJP+IqVF19auBBtA+
EKDd/L3dZBsiRWGyWmnQeHZHbxG2V18cjy3Xrtt3RSq3HJdzLjhhuVOEvvGVyvWPZbnR+gpY5I9M
3Lf8qpN6ppVkKQmThtR87odsLUWAz4X+vRypSBIjmjzkggXSx5OS2E34Oe3P2nMV2brUWG59QiJH
4Dmk81koZlds8+IkfsDyEjUU5Wdv2myHiIuQX9A4wi4Ev3dWsMQb8Gc0aJwQBXxS3pDL0m/euF4t
NFezpFkFp82DNJ3tvOboHm9W6lcN9Ah+tmIX4xewV+iYtu7hF7d2tSdblsODt2Eth1utscmxfc2s
pQsHBfunkclCG5x4ixcMViq3Vf4gujxxsZg4BB7QVc1quRbHXQLByAd3Kuvt1rjTyGHeXoIAP8bV
E1S0PGKxBwPFU3VRQ00JimgyBeOzn0BWoFSbeD9doH0Nl2WLFdi/FR2SyqrhDQy9mj5UCo+NES5h
D/7riKfBvEGz8bPbQ09sLYIfG8CGM84+TaR80d1gPf1OLL9lNf74LZRkYPL0xTgmn8l9Sg7BV1tn
JRMPO9Gdpd6jeGpRtWrPf9NhZ8aUcqBBy4J1e1e5l+1EL6n91qmXC56WFCQAi8vFuCYaGJgkVLCh
xCPQRuHq6zFXlmwRFH4nirqJg4LKkbXfN/uqq1vAn/OWVZvM16tWu5l3OCYqzfRoJSQz99HmFG39
di5GPfgMQtpTTmQQ9bAfuqBnKxjmFU+pcbzV3P1bKUdeVbG3p+Ziw69tRtT8h2ovCuYMO/WZ66tO
yuFat9b/3MKKUpKxsHVeBiQEvWuhhp4j/P/ICngfOB+OaauTTyvRz0L/XdN56w7ma2A1vGdQwHtn
u7mnWZqY2cZnWqp6qtXhMq0MU7hga+1BOf9K9wnkonMlEcFI/xnlonLQZey/THDXPtIY5ghHF+it
SMQB9G558Zaa1qANUGy44hOshMGB75pZjEJrKQ05PESJeKq27x/xcKt1KCtZQZ16LSSbFTHHyeUI
N4ilIJNFyMuDfgCewMeZXMdz9J6t4EqhYGpVd4Va/AILPBKWGjm6ZtkGsJD0SzLgLVXu1GfIQgDX
n0Io9OqfdC4NmcHAv0afBTiFzr/p3QwZLSNDKePfGFb+0wm4fTRVndgDiQ+zy7AnTuDgI6Wm5zi4
hr/nrMTpcw28DMFPn17V9JU7ljQ4u97zyJfCVNGtNi8le3oglRghv0Y8is+ooI8DzXJNnwfkSbVD
R6x9luPIwlfCEDBd51181b3aprmfNcl8p7sH78TPlJpBXo9xBI0yYeP7K8chW6+Y3pc89x9nzE9a
580A3tlmUEvZtyDF19JT+nAanUATpt91XM0srhNtEXwZQbMBVtS4N6/SRfRdJw9wv1KcNQc1xzZn
tZJWEbtfSKA84Ztg0DZqCa097CycCt14AZbC6l5POE4ZgjYWYbdsru8peq4r4lAnJqWBEGDMFWNU
jFwoXbeEuWFE/9lqZkc67jFQENC36B3nTg3UW8MG8xmznf49mwyeEsddespMHTtAJm/nNN0gLLZ/
Ouw/FFsLa7qEnQqKB2V4rfaJDo91ANFnrFHHNELb6h79SVm54sctjrw+6d2O3IUeUZFjttCr7qEy
uuYosYnPhTfk12YTQUmrXHI17MPp5RY8+kKBlPkMtFJI3PQtIQJ7KDvFLmioPv2tPBKamfwmSPM2
bAd0d/kfUwJBEMyOjBqkunSTC/Xxh03gJsV5g/9ZV4cM8/Ir5RAMSZSoRcuzECm9LhBMlETLrI4n
cpO3nma8CogadOQipd2O4d4gWd6LmIjG4QdYnZu8pc9gwkhOyJDnZ5gy8Rv54OllytAhcYqZe3q/
QT8CbZ/4ZEXQji+za8iVfoU2pMYxH5e48TfjhEAP7SfutS0l596vs518X71Avn54LSO+XcGL44te
Ya4Nwp+9YIBWlyRL1ZXdiHaNkVyUGYDouIXD6poFKNHelPRtiSrAnxxyipWVSI9bgkBdueri16vt
5a4ArIhiuUIYHSGRC2+y8cb+3NTQznZYe098HpKiTbC2qy2WSt0uT+rj+LoN01L7iqQV4eNmFJjJ
fb7Am8Q2W9PH4YnhH/CmwrBYboBjji2izihCbUEPekH4iFBdf12V8CEgY/axdRugJCUZWmOUD4n2
RTeMMIcWNGXNfzkZ7N4wWHw3Y255bTncvU9YnWtiCd5JpurVpHbnI0ENsEs8CKTsc+HSSwIfXXmV
oz6Otb+vCTVhxZp4/J/wMjWqW8EPH0oAAVuWiZ34HAMewLZU9Txq9cQ5mExMPt6OC94MTJPQWVbq
8ktuReAGqA7c1+ooX9+ctb0QtAhbKuDFrtV1owytL+ahESMWlkCbZxmXnFspzESwloi1gUspG9Vx
UCY/TOx9puvGuctMiqeaLdf405saqGJj18QauXJPZcqpOTjpSD179sJbkQDq+5NGvqOnYnQ2K4XL
/uFxS9kwYUnHsdinONAzRZH28XDWlNQsRgUxTjHPxASZsu9+iBIINMryi5FRoPTiWYwFIHiiXgA1
vlYpVLo0AcslZjPWb6Fi7aT9MlmlsJXCgMiAqTqWdhWFJRsYTzemHeAwjAWholby5kdSzrCSQwDu
3qIw+SC08hLIrFSHTOjKSRFDj3U8KKDDjg+wR8esY3NfD14eD0Mbc/ZlfrEkW3S42HdkYBN0gUWi
AgmUe8VZREJ7P5QkN6CNXlXRsDtuwS1mGZX+Z6+34PDKASRZhyD1Iz8+i+s87z27nfoM/hPB10Ya
BgnehCx8EUuvIXLpYci90CHuLO8C7SYngwhEGNnTMon5epk6Cqz4RBHSmW0UBB4PVVU+l7DgQfFC
NyCGdMADWeU0wDpyRTv7kEZSk1stLwcCDyOi6zN8ZiQHoPwB5pCNesrr62zt4rll9U+NFnXmJE01
zYcBkZQHTeNDorAsaWw09mjT2aIWk4eaxdMpoQsWBSSquwr1PEBpnCIAmOMuou/x3ggK67Gs9TuA
IstSerr3SGTuaUTJlfkig/B94ort+Q8PgRKUWArscHTL+ypLXhC9IdauDUC7tA7T1uk7Xop68Xp+
TATeXYUoAnBfImxy/vf95pkGO96AOMzw+Mf3ClIbkG112KrtU1Rw+gtmAjhfAVIyjv+IU/oXtZAL
srOmlGTuUTv07x2xX73+3faC81k0+9hf+VEMEVtldrkX4ZPd6Yozr/PYcHI4FW+87DrqPICkUjHE
dBMGfu6HqFMI8FnF6wof3VnW43T1kC1XPGcR8OETKBgp0VgbTNbWUhvbqsQGKifc2LfpOx36s1vh
NP4GnCjL4c3k1c1MLb5LStcytTDQH9pYYRAwrvlN2rshyE51PiRBqR0naD6AcKk0K8gPGhSRCi0I
YlBZXdu9HkhUunWtTilteVQu1O+qRtUGj9Z//xIAuaL43N5g3ngQvlydajgWKEY3dFIpOGzzh+Kz
nOx4r2JzBZ2Fw90SvDPaVYmO2xdUvtcvD4Iv7oASaA0ReUKDdULcHQysKEFhM8WeXa6a8J118qvz
zTO9qqhHrHWNCyanCtN7Au1lUiFaHymfV+NTjPbMaYAO9hxmUO9r9G/KOXDBE2p9qSaNpzGVTmDs
tpRXbTJYp3tY/K5fHQXTEQnsNEi1b6KTjuoKWMHy1VTlyPIKQHT1GyjssEIaqASifih2xC8tuRO/
8fMmHA80GxmMR4teXlzp0O+wUR4ZcUn4jOIXARR67cB13D3x6VFnYnvCxt8wNZ2xT5VBrkwtoLye
OZQ4wekYmkBcAiXEpV4/H/ETJpb9wn5xw6JdKWePtrHUQYqAiFYtWnLK0r3bs/mTAxXMJ63y+0aM
3edVWDq2Pk775GMRWbM9XhXMJKIoIgx+UtSANYso/5ATzB8csNmyerAL5ZQKM3rUx4hqdZy5xRjI
La0OYoPj6ldxqbBeNf1Uuv39ssF89pSsCYztygS+VacqMp2072w4k18JnrYj49C4LULYbRSzhot+
yH4ltME7wDIWFYWTtZb0ew56Yli6Ej9T/M/iewaAn6lehXdSt1MrstipWaxrZjIRt0K1MuoRl5Ka
TlLox5SSt/TZIoEQ4VP+vOptF6jL32WPf9YFlcbm4ZBPfi5FVvd35z0paCWkhIVK685QG9EJOPqF
kD+GVx59Ercxs2hahOy8NeClb0CjjFAMB0DNuPLXcQlTUGsVYFPHZhfQOWazTmL/ZBChI1QsL54N
bc4k1c6AjgKE13Q/A17SZxcwglktNE49BinBpOKGOAx3w+wqoYBz9f9H4AP7pjdJvodGGnhkYrbR
xTYTrQj7aY4a+Lo3uhI+l0/ZrAgTd6naTYwDipjaclDPAnvRiP91HGFOvmPfaq/mominVRtb5fFC
F3p8kWcVj1pDikEStAUQUikUf5FAmYmBpqhA7mfgB5HLFpLf8ThIUwmIVUPt9opVxK9zGJumXTLZ
kCgaJd+h9R50bvnzBu7bkr0NwqHEKd4WgLDrL1srtvBj3PVDeK++I623+vlyX/oXCtV41ktm3kUp
v80Zklhlg1qB4Ku8cR5MlxMq15r2tvkJoXbj/0lUpd09WLFo3yq7xxH+9QUzP4r3sNtRD99rGRfR
Z5mWKxDdDe6V+wZoKyw2FHtb6NPqabnAKRhdKffdvm3yhsglLcWtIAP4PxXutcoYVRWH+nXdWcvN
zBAXMWAtMvG1VGMt8W3q4ScvAsRl2rD9uaIUTMvuU1Cw6sdn49/RmNyZKSkB22fH8bNnXQWesGe0
Sqz8sj+K6EPHbN3Javpk3yWPZgaZ3gzjfW74YWB5kw8i7nhyNQw/G3RMr4tElRaXcZCJ4T4MfP35
o513pCwzgxE0fM2vtMzpfqGvWs1NGzQrL+OddYEJXocn/3Dms/Sm/jt0mOHIIL5pNiyHBNxDn8LA
lWBGjBsbWaeKUolibXP3+/oZBg9mi7xlL9aD9k4iQnPNXzLKmNGHXCekF+eFsy+D9rIMUKYOZiFR
v87U/wAS+J9D3eg9Td9x6lzMP5iQZzDorji4DEGK3YRRhJojuTclGNGRk6M8muITAA40IdU64wns
gywbTkJE4yO17ipmPR59C/jI9caxkVKh297rNW/FIaDwzX4to9QDLSbShz2HlY2WkMbtgluvrfLF
auzGq10PjWozQd3uCes6M0b1Fdu4V+OXUVf0EtTDRv9YxPuwY0K6W+dA0eMuRJfqJdsVmVyM4Oae
enMI4U9nvxHQvZQSIL4vnb7cxArAS3p39POQM/kjFeo1rxGnQDR/cl+WHJJWPpCEel1arfGYkzWI
NgTkbRsKWRTt6ahOYbMJUyE+T9D8/4eFIQdOhubY66a5YMZRKZq6b+fImxJHUdQrQ9BDIVqjIPwc
/bd7oOHbmmi9f+WrZUjgs3FjQ2DBeXwAuUAYC/yjp4QLhopZV2YnKMyZrsN7YSFW/scsZxXrSVG+
mYfklONS6oNK+OHkbel1u81IA7mYtbEJXmKDq0AG84Sy+YJjG8DVTlXzk2/YZrEuDSW8WU5XJaYt
UeiGPR4GPPUNuznq0wr/Dv4BgRlwGjKgfW3c4jCF1VtkTYVkzf7W/c4X6itcvLWf43tFaqpV1MKu
tlI7/gSkNFgPlO9lJGiNirOq6Ja+9AWSDYjzOpA1h+UTaG0db2egYTtz5AaLvt+5XvzbFrf9Bb1o
aMV7gAa/c6wXcKd185XbWLDo4PsLD70lDDPLi0IoHkehw3LzBtCTiU+3owgdTHX35DthPERg1DP0
yyxRfCZrXcMXY/72pdABptf00V2vq6paQX4RSSi1/UeUQGmDtZu8r8XvYozVY28CK72ViFGJzVa/
jsv2k1Zae668nE128r/cFBgrMwFnFt7qq7BS2GNNoQOjovX+VGLSQAgIKBCnBb9l1AeX+R21T+sJ
TX9kHqeBxegaBPXRlnJFCbbIG0Sz9yQohQeZ8Xqb7/3jrTXDgygDw6DHLZ7Wh8QGqRXskEX2a/zw
UQ9YwDHf3mw/3e4nQapC+ySVFQQfuLFcxhFrD5YnoTeWLZiuxY8C3RDlgVlJAOhBS31mK0RV+Lmz
EBmAbVeFVXN0YVKVbL90VWpndYsSyKtrmju5iYyzL5lWCZ28vQ7XvG7vUam2e8pS078DwQsv6OZm
P19jDYOidWepELczRBa6NXRpv9sURcYhldUHaQXYZpcUzfuUcjhQxLjfPzV0PdHHnxd+RD6xas4l
qfpAQ07e+yiLbZze9/CPJmH3L2Yk0EUMrl9g7+oIVok/YEt4eERHa+vqgpuS29jymAYFLq8Lzvsb
SgKgGxCSMrgBLB0gV6Lhvd6RGwkYuaX3ZnsFa/ESWAO+ZN3KtomPL0a5jz5CufhT4ZdC5LLX5u6p
F2SW/os+yQGDzEIbex1UC5az57s1bXnTKE63RAOfrYw+NRYxQhbpUQw5BkrcPDcE1M1HNcdtGeHm
tq18GEtdIq6IffXkWYTYsfvbjKuwHQSjx7apA6G6CmqdKuPpnqDILSGFCNWmmId504BY7Fwcjb6d
jw69f7y7Z3HPMkJ/ARWN2b8pgHdQM6/e18iclh+di+aI2rdpEPfjIlq/BQ3nLy1x3QiO3yc/cohp
WSFsq9lQ5dXga/sVwDjPJ5EPKg1tfX3msHd/NaiFZmsDWXij8bREPe2WZopHJQjGEnjyZai9OtQi
WpGTxfOd6rbVceUGWf3LOzJykVBZkppX8n51BQ3km/0wzZhW3l4tVE1HGLJsZ0oWmNxYN6791CkN
XjZRbVzr47IpoNb0ihp6XvoiJAqxPyrk51M8Uv5Y6jJ3x+FA9Iz8QGTvqW2bjf18fORSay8/HdQX
dhybbb8yx6EJFcS17pGv68x8modxZucrAqN/YJYw6sXmkANPg2S8k72EPoHr6LGKIRcssRci4U3Z
oZj/hU0H4wI3nRo9pwmRiYbDkfGbvwP3EUHIsuNDIvkqqc9JDzunQ51vGFnqQd50Z9GT4h3LISFe
Ermjp8QaN3XkeALRwX+GyRUXuCRzgpbO/3NyKuD2c7n5dEWcT8y79Z+rVO3PhnR/NXp8Hq9BhWyN
3zOWth2YrjzfBcqME3sLz52Ho3L4Sw9932cAvBYymg3RPnYNu/0wvqjn+/9R1h8U3+5mN3Us5xK5
GN52JM1KppRuqcVpJdrdoS4st8Z6htEUvsaPOSW9WDyi1rYOujPfzmqzLyLbHLFnBb6h+GokLT29
FeCS0PK3ltDU+OYbcQozHEqpkIomjiA9mYecqK8HATMRRS2b8NOBiTmbaPM9lfEvUNouGH3yW6pa
qiXRBSI776XmEjuXUE1J9irKJGi4uEM8Rhc2lATU20hSunZQLk/+VuRn8ugTUQRO+Yls+fYTjG4+
UYXUxbXQwPxhnI1ma5iZcMG3ECZCp2IzGRJbbPK9dmSMzc+ee6wpA5+lxzRU+0iXJMY7tuws/vqT
EVIbjYMNbHjZyhmHVlqhwkZV/g56Y52JiHE2SrTPYaDTq7PbQN+34jQNzdVpgtff71tlvmcHF+Zo
diUWRQfA+hdEeGeolg6Z+8Le1WBkV0/IEaEcgvsuPruR2A/ER/M3TOawhX9cdmNS9ZSB4GXgJxe5
oydwbcWd0XSPjUG26ea6M606fdhfgM9hHpecC1aZXBsifmFByFVTrMXrF8VgsEsx9Q1HsXF5qKfp
FADv//835yBbmzEgcBrYI5FcWDza++SWnBt4pk0UM+ZKUJSCHe/2RgcqTvGm3+UrT6mUaCTpAva6
aLmV6Ktr3F5C2iRaLY6CajDZ1GScSIoMRF0ixxGQPg/hXwTJaAwH7HX7g/x8lzuHEcNilFFAyzwy
9viSNP3TIEJFYHf9psSLH8nQkn4GmUb4rdiy0aCQzQEB8uylOy31voiHIxSpkuaxc0ONVh4/EKs5
X82Kx3mW3aMekq/4uXkx8a1E5npfqzrBFI1miNyFCKIqxQZUjHfheY2b3SnN4hoOVaqkHhLsdFhk
8rl1NsjMWPwRQ9EQ6omCbS1jXGvNGOyau30rttnjBtvD/5HS9QNFxol1LZ82TRycLFEyu2GUNJw3
2xO5oAPYMtiUNHY27V3xqi6fRK9Cg4GbtFRqsBsb7ZN1zGUkTotn/dmyugLfTOE5qpXWF6+ark0P
k0G9Bz7f5BLHk3yfdyDJtp8dgr9jCRfD8BS+xO+Y+chauv3cOjatZVOiKvHzMuo5sxR2a277tqNl
qnPTeA1kRUbZP99xVxDFOB07jLTIpVNazY27gcoduZQspAn2WF0w8jMeC546QzF5nqEzyqwN5RUh
4iRdzefa/q7lqEA5MJUcM7T+nQsV4ESizcnXT7IU4fCgMlCAsTTKOiDU1L8dqy4wiCyh6QclQj1O
v/oEJlJRD7hxorz6TLwxv6sc4iLXLqHOatGz7+iSaRnB0xAANaZqh1uW8d0K3PurNCIO0qfW6JTx
BPqd9VWibhPA//E38ofUvCV+sswZBW5J+ep3/uHzWrcZ4CfklzriyswQqT5UQaOQXfp/DzqCo0tS
lfMvRzwnVFiDceLHc2COfHaKLNZ86zWepReyLv39F6ODmkHeWbKDk1Gnq9CESvpXEtNGrPuLdI4J
pxasanH7GkcPHXDby0IIvr7riK2dqp1Kiu2FFEPK3t/S4L4/3/c4wk67rFDVkbC/keJxZ5k6jba0
HTh2byq09OYaKf2T9N5vIuRKiDqXowwMLLpqrNVT+wYKzHPg2s3jZwegvpxJ1rZVA9bPCaigaWh/
PBUoIBOTQcN5fZZzWC8O/1NbGGX+0F4OIw+8WBu6D9amXMGrTf0gtkDTGRxjWiiRX2BKis1R4qYT
VjBRW/B255CFTdLc8zdQWmEG/IIqACUVTQJzx0BQjvpa9PNTsgNr7JKDBDgMrK9Ad+9gdftzzqF8
Sbq8qz/cJFNOiAGw7Wsg6dYK1n1ZdIpI9RGSG1g1+H5W6HMh8wOxNndLQPEDhFzQq+HypJMociZi
WqSVT9RWbgKiqj2KJGNk9bvZkrKTcaY2nxuP1drX6+khQdYZS1FMLBUK5eew7wJkGdMxE6LUKwfu
tyWEW7Gi8ADEwJhEIxoxFlssLTS+9RdEIsfuSataW3G1RKgomv70SX69r186lOaLvVEkVH9Obquy
CmqDf6kFowtEwCzMZ7GAcc5dnrhLbQNEEGDHZFE5Dy9i8Csi8MiE27l+S0Mx3TRzaiUrRR9I4NN/
5n5y2Hx56jZJ19ooX8Gj8UP1mVnhlRXwtN/uMs17izT1mbQfBjjvnl7D6lUzqnaZBReqlTyzx21P
orvAKxgBU+iTXBXzrSfhVfOFCNHMM5SpanZ4+cYghqVgxW4SoF+2vymMSvahOibNk7Co8z43TEI1
1A9BovoPKrIq14m/+EAPL114khsR/uKnnweyLSzx5Aj2IJ5tUjCrZlQUsOvpIbbmn7TgU+8KZAy8
V2mdvYzvrHJr79Zo7+wsvPPG7nnuWcnGl52N6Ud+Znah7yfO68FYGfJjMW4ozBBHzBErTguCylqT
jTtFoE6HfHfqtiX6aLPvHzwayzZOuVxu/ONYkhkm7S7dDsP8zERQTKEIQQfFdzy/XqH+ty/6pJKX
y30aFDKY1qg5WwfBYYiMct7HPeK6QSlD2H4iOutROqiDVDWrjNaMYit1iDE8pfWdGFxDk0XAqp3n
N3lQk3eVbJta6nXavRodv3M0VvU0pjREurnfgAsEOd9Wg7kAlNmSyrFoAPPZPXdolTZg+TvouvyQ
+NAQ8P1gIfKpttxCsFUrrpzhvC95nO0JvmwTyMexOCskLyEsA4KQiuUolZE5FbJmibcCt2oe18T5
RqnJ7Ca9zvYHzLc/UhL0FZkR2tYlZVAuZ4SHihNmEmPvrXVOHNFfcpGZSXqVwtzKsoZWWmhL6lLz
iLXS7exUH2LEMUuTsqzj2JAf3HXwi3P0oqGJPp2csAM3GFfvAtsPTCmvU/cspyARZWEYiWi2gwM2
7JkUpuVE84hPOCNe3Z4on9TxYW5pWOsX9HUq8HPvZgAwc0jThqO2//Lhr9R0XzVkyeXx4/i7r40Y
u8bu3MAULHh5WRnqRPeK+ah3LsQiRX4y3753ra4gYv3oLDI371wBdbj5pjzUMLW7Z/AJsNCFXxgo
hysU1BBnzNbICG4iTVzk0GwIvMfO+quiRSpMwn1KP6vPFJDdIYNP2W+Vyla8/hNP6mHe+iBdVkHK
debNHEYA77AVJrBzTAYdVrTL+83CCBAyAd5P5C1drOOo3qBEwlVngdI8c6LxfLjUxlcMMU3xT5/m
5dNCStYJiDqJSTtI5JBEHTPb68EJgJPGZ4DOOt5BWigF1a76wsTsYNX2BjXlAzBedowx5N5nIO5K
pN14KrQi3xH0aAE9ZYRW1QJ5VKOfksBVlBooNNasvua7hKWNQ87bu1XL1QqLN8PphdJeVYo4aSbz
lP4Rui5KJc3tAhWEHvAjlfWsdU4RhufQv2nWC+flEmC3yvueQ2X1gumfQj4o31Pf2XIMFfpOt4fG
6PyH94ulZUaR0xcCL9niYhKCBT4FiElbhBE52fuK0G7ZtBRvYEarXpYI64TjLre2HJMPk1auacJ9
6VdUXccZ51FGeRplDAkAt/feU1YBY2cg/dQw3Fcw33UwhjT18tnF150Fg9Rpr+Q2XhKDKj241SX3
Pnr/siolw6ergCRqKHhB5aj9Q24wx7cxcRUJhkZES2aG1Iit9Ucty65Ha17BwmicVf17tN1b2N/B
Jw0/0ZgfMt5H9TzMlLkYgYG/pJ/fTXMG8Y1zyGRNFUdxn5C0Qwu8VeOOabKF78VCQs1bVyiLDmVk
3Pr3wH4Aln6DigPJW+YhgsjCRScBCpprMflc4KmMYTM/PdLIgN21c90wq1nIKbnyR1LDiXDFJova
LPwrlNZ93E7+DupLuL21sWg3sTHEP/sHqCGaqMZ6LnL9q7zZpwWofgaXNi71F38WltOfhz5BF4HL
kJcXdhuRmGllxHMrAuOzauDnvuDEA58EDynDtLyKaunmtW9Yqr8VQ7tvzlROhMEYVqZX6/Botxai
jD5cTgSGglwgpbnt/CKGSUQXa03Mb6hHhUpK/LBnbZ/Pd+zsbye/IM+OmvKZal2nJGQFBSBIeofo
f2UozZeAzeOgo116tqvjUc+iAwXSXUrBmIemL6X1zT9KCnn7QeKmGUzQeEkgZ6mqOU7AI3Z2pBF9
jCyEiVBl7s9w3b6O67ue3KdLKI5O3msPw3Vz0MdsgZ4glPVGiCMcSE58pq/6eworTLzX6lrWJrsW
T0Ridp4R9GqAEOih5AsOY/NXGabyd5VKsiJgxYqey6fujpsWPWpXZTznqShB7LdMoMKx/zXZkQ7d
J6xG98Yn/osCebafmqP76Kbmmcd+WbVKeZ8tuNWR2eahXyq+1DHGuWE940ayJAwOimu5ru893iVE
pzg/BdZwLO7r4KFMRK0GljUi9CTmRxSLcn7szxXGmm/fGd1rIWcMWu7mSTHDCjvaGuXzJ50eQlPJ
x87xq/D79TprwbKxtlJfOYWyPAbn6uUnsFacJblscXhGRAS9CDwM7U1DALHSEGYqwYs8x3DwdrmE
YeN7m5XSTNJFuSZynn5Azw9odfbEwN2CLS9u+f256jAD1CVE6qIHmF7ox0U4lNZNQp+QwB8xN+PA
i6rMwQpBD11xGt+5i8aBW9VC+51Q1pUcesIalLMn73zVHG4I4mep0e3KaIoKZrLnOrwffp5ToNKQ
9jcDHToiXF78g+t0usGOw731u2z7Vnt4ii+KnCMeIsJ07XYLURQWL624pwxEM0ISgb2p9YJYu2UL
2Gee7jIntlp8k3mz0DPYHSQbR8S/n1o+HG2qN0b/1fXDN4jpfhIiXiqCTckddarIQiJkyrZZp4n/
0sDgzS/e/ujW+9kMbTdW6VBhsAo5ALFlXKxK+4I/+6J/nL2PrA5HobePrOa6V+w4K8NnOz6mL5qe
29jnx9kWPM2cYHURd3OgbmyNPyZH/4zAWfnbTR/RULXIYndn+fzduV5UgwSKHvnVAunhH04yKgHo
oYe3x9IkHJ/DjCyC3pegomw5wR+WYYc3Hs7TZ9dZxvQVbsHDIYZy+GA1mDb74ztBZBfB6nYGwVcy
VtLB89XkX6LOwqJtclz6+bS69fppBfEnZrXPlri8Rc61cxS5PCuwCobG9kfq+hVXMhXiVtySR2nA
0f8HrpzAyQ0Umb+/5RBGAamT0JsPv03DnuXE2/04jUoM4ncipUrRTRKOlLA8+XMpPQs+DUB40LJo
3u86broNoEOIg0bX09fqHP77aojBxQsNXduNpBYycRu0Rq16lQBUVB4s4o4TwDP+kDPSNTic1YR2
iWIIj0fJDVbPfDVFJw2OLEmj/IsSNyRzHB8Kl4UzfR6i6WB7I0BzUqbF3V1Hsec8KP5jOHRIifKY
V8AHhF6AGsIIqLdrhFxE8a4FEid6LhXLcYd3FsgeypeZSypKrQ26EawqHTaU7QmwEAH5+LmQBFvo
8CNjUcrwYOqBoKrVQhRy5r0tOeq/zxO1gPry9N2KKoB3PrrLEOggB0jHcBWja12ileQQcagC3o58
++nkDw1dKU5QFHv1GU9hx0tcFlDMMnC5+03eNTgrXHtgGLk418r02o+Ed/OWndN3iDyxc6xBexAa
q/ENl5CfTUMSgz2I4AJDyIKKQthIwU/3QsAGWGZFl8LgBpSVO4FIrl14QiXzewHHMcdrXYW7SvgN
1afW++h70cHfKEi4rZVhqldj+USsQYm/b77tJ7kSDiN0srEfZm4omkS7xldnJPpV74ODTrsnUK7F
+6xIIyVovLnNn3Fsp95+mV0EntHJYlKnNHOHvwGpBlAuw3IqzrdBHwCyMzLPX10AZP3Dl487b+0U
437gHFIpQy/yb0kt5Fad8S73YTu2Tz0zAzDuVeumntLIxZ6GtysKcCNsePBp5DHqBQ7MH+Cfwffg
IL7v3LzOGN3kknWHkdCsUodQzzHAjnLEEZOxHxM5BRisUJX5LWAMQZyoAHlG2qdipzGF4ovKume7
3e2MWEo/AnKeU+0j8hjxyYiJXj2fERSI0QMdPMCdCnjoie/G4V3mKpcMSmwmJBnFu6D0fbGyVKX7
BTuUGkgtBf1C29Y6wEz+Zj1ErwamwnODomjOGdAHyRekPTmSYNKZdPPLAoFF/Bkwvcp47mXXnGyQ
95F4XTNS+kX0M1nw0jTNAAZT3zhcOf+KwBOMHkKs9BdijhpF+DGw01mIfy3fP7Da+y+EI9TT0ypR
c3XfW5ug0NQKQgDZbCsxzV52jIAf2keiqkwjQwS7PNJtbo+VgTrkB7YpGHV/aBO0ZcBa5OuYAi98
suoraEqQsAYUBE181Q7qLGvxHruhHIt0Hp2aCeXiQtdJ7oLxnuC05lgLOuPkpoWLowua1K6wmq4O
EmKpl8RUFvYil47+7ah4Qq0Zku2r9pJRWEVU08H5Z2A6ejuOxbYebOvpyW1FXlJvAItOH76qrp5R
o8KrClSpN9M+9RJU0tC1HjY8htVvrJQrm21Kw3TGsC/9v/ng0TvTZDbdcprI89p4/QNevuz2pyIw
AeBAUynxD+AGAgrTS+/JlnVt/70r56Pb/FJV0tIfXk31XvKj8jTlwqkYWF4sgRFUL6IhOt4HC0TK
ICEPRV3I7r6ZehqLa38ZwqenbMUbTcU0hXRROPQy7D479LrCvB8pcMcQhHhS2/u9U7/vZCrhNUAJ
rJspflGs1aFWHyxaw7kHvWl+lPKs6+jQfP0GIY4E55WA5DFRgjA06S+x1N0IQJanoPu+UkdKEyXH
d+xu8QEWB2VeMYx99iFR92/rcpBpTAIz5THF0ffCK0DYotuPX75tje+LdpEtrlWCqJfhgvhS2RtT
RVea/UEJZN43+FuJ9bo0H82JBixmEdtFn77Qba+umvTaOpMhv0YO9EWLU5AfHs0UEgrqqQgNP24N
+9UU/3Of7tBUAB1R9s4RyqZPPFJbaC2yzmrjeWewHPKsKNqHOZKbEMrLAnk6fVRjRUtGIhoNMZgR
VpHmEAbbaqu/lQdB5IYGPVcUipxzYeFL7I7GyWlYBT8vu0eHy+rLvvHzQO56801VNua+/NSp16C2
CwLEBCV2ItwgKuXTgAQhlReZ0bzhBveoUtKNUAvCyAKVYS6W1UYpi6KTtvAQtse9alnnIxKWFVAt
XLADSEkSN1BmDZpfuQ9zG378ZQccyd87k+ZqlNLeN4o5mF+fdXJCdCDFHb/u/c6Ss6R3ELiVvdkO
+NqJzNmkfCbe9eQ4obvNQ/mXBTtjalvKPwM+pRt/+G33iduCMZnn6tLvRuiG7jTGlfIxY+euaz99
d2NjWzeRGEAQgkwJs5zna2dQBHEVC27qat0l/ubiMFnoyalfVUi37tZMXSFdTjU4LELicM9DtRK9
PRQ9IDCwsQq9LF/ZWdMWzgWOTxkxiOf/EN2e1xk+BEyq/NomqKnKcT3ktXhslUiMrhbXfXaIwcxf
XFLNCiSCTKzX0XGb0LGoL4gWMScSeaA7BKkaCXcLGsG5hBelhWrirUfbT7S95Ay096ldq9oDgYZJ
jO2pbNYcIVe9A8spa2DYB9uXDHjuzhIP2XD8xRoB5iUgsmWHdJ3uqII8VhEIO3yA1kf2FpFnG/3b
WDjG1YXIYspge/X7dSDRXdFyVJcaPd4mBh3Qa82/zZ/jBAS89hycBg/ki3ia47fcq2y652nkiqNM
7qJ7mMUqXamR5LjiwGDq2WgFA/hnE/y6tjuFtbMuHm6oYqLw9CB/MkR73A5g/vPGF+Hn2Nfyy64D
MZmFoRUcStSEoVgtoMyMh/TLYTkT818r9fv0J328Dvk4QpsMKzppHUjcJiULq3es0W3Sm+TyyQRI
LptAJeEo3nW/CadnjjngEtyU6ZTIN3HEPh09pPh3TEyG2LxO5gVqH74SRybwrAf522ZO1T+qbC2D
Aoo7o9NL12R6x0VrVzhBJ0kG8XkFDp8IHk1DjKI1fv8zmMi5A+H5RVsI96Aq2FuHEDzYgMffLhFC
3ZACEXir0Mn0gO/lorUQS9vOjL5iDbNefv0skih+AzKqXqTLwkK5ny31LwigUwcbMQSKf+nqK2eu
j6eihSCGtJ0g9XhUnWMVl18fdKFOvrcdyArKfc1sXSUZJ6sTbkvVzixR8K14eieM+EYIkd3loNxJ
alK0k8s14mMYhNZ+mw2YlvzZOI8fwkxnGhxS8UhQzeEWf6sh1OnSrpCXQrcrM1x/R5O08hbPsKbp
1gi9rjjXDcNSsFwGGNXgWtcJB2f5WE2GktHc5+6kErXYhc6BxXZe6s9vfbwMPBVwDAyABkVki6aB
Vp+92f7Rms/5IabU5A8CnM0srSS3m0iYFm0NpenZrMqvuER7mTaZQ3LZ0dIVWBbd960OC6EQ4HOt
LRreaK19c/nDYTmL0w2XHY9lvSr0qgHEcqd8M5gdvM7k33oOFa/H8cR+RkqgMep36iBTb/j9gtOP
ZSvnW28EFU635NLVAY983NbWB53e0D8/O/drGIM8aI8aHuYXJDb7Yuxj+QEURaFMmT6QrekNvOjY
mGOP0ShHmMlNHpovtPBGww3VAkQBRwzBhiw4QdA4Speukdn1W558YFkVsh2gl/cX8bdNpK48Qp/B
VX5UJAMEKiPhiRsCB03gC1y9uvWTcJoZcFu/5WCmkE5JZ0mt/OAK2328rhlGAXup89zak8NpGH2V
sl560UyY/vM1zdLoym6kICawcG3tpHbFBIWdzNt8koL/6/yTYNqy6rjub9262X3LgxbUM8uoptkZ
+bkUAIR9y6smb3ZZfd+3HHO7qVUv4f3VTAelrHBfeBOPpODLMTRvUHJMMjTz8S8luMD82sYu9zVh
u/xDVdZuJ/AZDkrI8jetbwEil0f4ZIsqSYsUOp4IDSuncmWTOQFvvXahbSofDfg+iFexJyYvdAMV
sBNRpgiO6xRDCSXL/qKdEi0l0fmCIN6y/FtcU8XBFi5tECPcjCWaDu8ntEpjRa8IzFTJrUzxktsJ
j9k0ydwBaae9PBoY7S6OhgwN17LdGm4UwUYWrfMggGceyEKC23GB3E54oDfcCO3HZy6XPYGNg6Bk
CK8HLJ7G5H8uY8GlkC0s4CDLNNBC82dHHywgJPLANHTct+sR/uQJeWfIcf89D+HUQceoCCQwTbUd
ODAJAbaE0UpDXSm0kbcIZeBFlcTq3q6Q8DrUFauMSZUjCun2tEpS7scQ8YCZvNoW56xQ30Znkx5A
wgPcctXCC3f98ZPvqUGw3zyUIGL8vbTP9kS98sCF1Xmkx5m66P3rEJq2J/AKobqDQQFym2ypp4to
+Yi71UXnkp5HVgBeIIJbhywlHojVYBaNrMWl9De3cMEshb/YWBNr80K8kgeZ/W0ybCMyajcNyMIZ
lWsPm+i9eRuoKHECSVYNDhJ28SJSbZPvtctdXHKXO/WdHXphEjl0D5kcyJPcmNNN8JjLfAeqQUMk
nxyX965CjTCS5mVYjhyRWKiY7p7fv4w125uE9JUl+A1vr3mALAPX0bh8hjuDnjWJSzaAFiDUAOTD
wmVVsVKxPzObabyGM51Qao4Oi7iSTihlQa8UvxqO9X8mSErDx9n9/lkGdFLIBOnqvyzSp+6ZQPsQ
SVvJI0ei8Qp/kCEjLEMb4RPicP9PLD+a7e0Qw7fukVf7bk6FR5EKRMncOxCyKAWUlth1hKZfysrZ
VWO67NHpDalXzixPPwQ+ou3RW+hOc3p+ai4UCkUazW7fF2AgqkZOONJDYnZikczuMN/T5kHk2SeX
E5yDfuOEXHuhdNK6kxd1Uf65f+qOiK/He85hAIH5M/idNQMF7hMdMJPfaHDTn0OIepYCZF9UyrL8
odnNlneX83kDU/nZ4C0bAXhcfMFgu6uS94W/eCP7V/MG/Bq54qT+/nG6OWHzlvB0gYFrlNYFu4RW
i6mViCpAP0APKuMV4WO2k3nea5ZraI3Oa69/DVEDSPf9H/WW54Mcu1gCoKXEPKQFlxU7gU03KitI
hfzrHj0rjki67VdQ7pcfDWJqWmPosfUr5MRYvP4YffKCseYKMj1FCMTHSEwgTVPvdeWDGoMenIni
coy71xk5N+EBE1ozn4JprHvkfDHZQ3yP0RS85dQOX6pN5PogJR2vJc+9/y+HIlcbuWcAPZlFsGpu
ZDMgkXUH+Qu9pGDJnNLDTiEdWkXaio261JVNpxL5pgCD6Org2Srd6iCE4VajfXnUVXlEmwajWjbN
Kgxb4ZsQ3YdqoVlmbQgzekWclLu+OUeeDXI8G/Tia5Soyw3hceO4qG97ypfmanP7bzr9zFDeOmRT
cdjT9LJ1S0sOIdIBRSj8jQmbF3mApIgXcNt7KQE3PXtkKbkb2YXVfj00r5INUdt6ae8ilSua2SOM
B6nLoeDdIU2yonqE9llJGIWsYC0fAkf9WncKQMyHFQuzwMubZFL8ZielnOL9TM/PSJE3HMAeCdT1
WCQ3vVaFcRDT2ps5K9tCHzQhkiL7LxjIIYXOjUCuMJlhlELqS09OsOQllTk/ZregKu3MVWoDmUgW
oKc1fOsRyZcupJQavVQTmVBGWCxRsfWwZ8mcWIZreX/fY2bivCZy1kxghssiZ2x7jMh1ylmcSl6k
h5EwEFDdY4e9XiAGKgYVVuOwGOMw6FN/E7SCyCriNjkf09tMTJe2EFGNutP2EhfyCeSr96YmcKpG
HuB+EEq+a2XrD2cgbQ5B9VblC2PIuPVALngTj8pGd5iDanJj2siDxAnl9DGszHnW/pp994U6Gplk
DcyFY6SsgEVM7OGS3TG0B0wGtlWj5tlCIrh07/hVhvKXG+uBZxIf8xQBp4CvgwmlUz4CZxLQYEKF
94eg/FDutZCMTCi5Wp0crjBoN0XuVAYRNhiymv7kxOAHki6BGC4ywrB+KZ76R0pVNHWnz7mP34AY
AwfCNx1OevYWMrVdzDAi/Jqe+vZKljk7LtZbMYB0d+3rClw/J9xUAvRDxYSVwCXqOGmSKq+f+Ecl
yXppqwBXjveortl/D2y+FVIkm1FiCNaOYs+VlpUBj+GaK3/GvusqWQkV1eu35cUJJhFcnzaBdEOB
9Otle09Oicy8g4QD+ZotoZc2IGGs+8OoeBtxHp4w0VAUIy+haFD5wpLjHPPyMwTv9vQ4VKhlmvjY
6AWALMCqLLcyCFLtg/ZlTQGMAJGM7zpVgQ+1UV8jfS04XEm9alDbbQycIMaVIWvfzXOPvOxhOIlx
qaBZILzRJhe7mLsgeyKut7L+xwzZZ/WocBtziUPqYtXfZREu9tyfBuwtINPVuHMSEmvbMmg5MquV
vnOjSqBe2xxoCxtmLWKVtvbPRrDWqBbB/yMOLRxOPdovuTT3G5j5pDxM7IIAufRtOdP17qOJwR9A
pUQj58snBxA3POK22JQUmiEqnDp+ZPgyGg8/UdFMFlgM8k2sO6ylmKocdxbmlTZ4XJ6SRJ66v/L0
n9/Yn8h4q61Xjx2l15SQX+nvGaqYBxi6TfjKoE4YeQuPItmtcqeRl7UkEVl0ZivB+qlOvV9L4/sp
QKRf57RDWxe08lEsD2DTzGniuCkz1TAnF3UKJAY3v0zqPdYzSSmBQENvYpRdnhpxWyvtcPlXdYCa
uFP1RpfP1oH/ik9tMMrdi7utUwnUA2VGFNoDnw73zJy+0vnTB8t/LWX+tG2/sJOcWsbuH+SKMpe0
Fo14GCTjCWmM6OWhaurpoYw7Gwe9xKb7hxks9Ci5VhrAihSJFrX9hGWKMZ+pIbHTYSdqPYfsI6e9
HwwjBDpMfDnclJM60lpLCl62yGpBvWI/bDIGfsfxYeDiKdnLsck/osM4SkPD3YISJrbv42VIYyoz
WcgB4BA1bdEuu82KhPAk87hYSH+7MAkya5c+XmM6TQnADF9k7zaTQlBPUsvvfi9T9u8Sum42pLrX
kVWn+Fnm6vOvvn8W1k/5O4wj9vbv2AjgfzbWubGa18c8eLjOCFDQMhd2DI9Hm8LF8hGvgiLioDxX
l8gGNLHwV0ZgvDvCJfWx7MezP/6vc6Owdh9qktGnlWilwj/9nlN362V0ChcoOJuuTFSb6egf6TU8
zMuHfDwPY5lFL2IK+G52mMStDzPs0LDNmWxEulyzHyMLeoMs4r0kZ/kNE9BkLCkHd3Vb+Edg1aiw
DZ02sXxY/TrjfosL0NPlJK9TcFGuj1xpIRFYq5mgvz1AeztvpjtkmsyTR3Uag1ErfClmkt+Xci+U
usAlgvDgLqbtH9uT7qK3zWZpkPFOLH1nSfS0nSgXwCl1l8H7ZbleR6Sfk11LcR2/6FkUcYVDn2Nl
+6ZPsrMB8CFQrFJWZCBOK7qnTB+JjlA8UlIpH2K4LRAkbtpsUNNcphfv+fCDlNj3A7BQAIHpmFPW
owtxU/8UKyjxcwy1EVyyP2PuyVhr49teq5gc6aU8fXRS0Goc/+fHQsarCQPMedSSNBywd+rwMdS9
OFQ1iWgR+hdtplJ+Pxm4XXTqLGf4wGrQVIi62p75RaZZUBy2k3UmwfLwG86JviPnv8E/P2/YZkDX
69aJVe6l7XKPWdGlNRttXhAjSAFFGOUzRuNQjw4piSubWBfhAGGh/7aKu9Yq9O24wenDBYWrCSmD
lpWv2L+DiynyUJXgjuQ/rvqrlG9CV8Cn1Q81Yx+S1TOFU2UF7L5ieCbJXx7ha5y2SWMiKMvxxyyf
jg/XHAgygSrIP0knbpE2q6g6whbIMYIPuuGb/W49jlmi5+RbWeVCH5qWyJL62AB3j6MmJnrv6jd+
lTGgNKSVmAsjwhLk+a9mXWIJgTEVx8DDW2ffETd3aKkueK1B3RtXKIqdYcrssEsm/+0c1mK16PIc
w5Zkg9KORYSfpwwJRWfBEeqQ2vgMCFm7UVYTnwX/2BXgeR+9h/ptzjaSbpZtrZWSONrAfER9i6BA
stdwdWlNN2nQC+q3Aa1ZEKeoe67KFgJQq59XHdcpCzkzTH+WSG5I8JyUcMEzD+IJBOyVLaHITIkU
piBDFs0aa8sYgH6e9iZmqD/vb6d9MQ0VO1mGfXw7QMQ3O0ZesNagy4MFqOUinxa5Zsppj4IeXoTp
dTuQ9G9JTB960CnNR+aqWm2/qJkWnSYO20o4X/QMfG+FQW7ALYnvNY+Oe3Amn25uKaS0YAvVig5i
9A+gM+aEYxdrj4YtQ2wmTi4++er0MmOMhP4QK1P/PlAWwnw7wLqHDF3JvBpS6O9xDxGqLu+hs3c4
Jf4p7geJELAe1xGsOZ5vuyNRrwUh57FqiItvzgrmtzl9vSMWpnpmNJirX3lKWN2GzffYjevAe67j
VbYmkfQTPIFgQlolMMXVejTPk3ELeWO36Vy30cw5jhZ+WBC7x0UMlRFSo+3/ZM0W2ND+ISDsjOd2
/QkQeEwxQy9tu9k59tTw+bxK7JH/C5mPqg1rTOTJgU3mlHP5XTXdYoGRNZjtttBCRZeACLZ0Z5X2
+Y8xHF1ptwfhG87LjV39m1AkInU8AxmGkIRXYn8VhR9cYFatzvIEnt322V0yxmqhoqfC8ZgYe+JE
pgOIg5BAjlUcfxy0DNb35XAXWzyKCfOnRRVqbtPZwzRfT4ilX+nrUBZKITJWDZxeQUckhDY3og1o
f6y6hTdvT6x845hcWNHh7KxUze5USPUR72LbKZMoSi7QG4httMlos6PtSo18WvrHXyzZUbfjzCOz
hKBU9ocrkIu4VE642PPgMC0Sln+Dt/9gYe1BUl4HWc4rbrpHE0/AAeZT9khKOphoTghSs4XoQiCI
BcAGONpR0dJV3uXRbddm4gNE3yhBaCzLTS0iSvYSm4XeqBjfPgRsbKuUe4otWgAN4ok5jNKIbXHz
MqfVDO2DLnZq7s37AXpX2+Q5CD6/DGTYOmKWw/mTHlQh/O8sSc1yxD954zn+bvADjJYCw6L1pPEk
/EfJ7AhQLzMxJohttqSLWNifKifAvaG+UGSGfE3nyFE3UYM7ZdgC9PbjujHb1458FRB7PxlxY8iK
perWg3UJZTd3PFmQxbXiXzgIAtPW0bgxXUokGAmyxjXfac0sWiWwLsWwXCpHrSR9+DsOUZa5ua7O
l6aqrklCDQE74oDkWYoX4bpXCSowlecukug63Vpk22E1+KnhlJxPct5u069YCkls92YNjJxhZ5u3
MvPfrNcocstTau07Naao7+YbxsuXRHXiQJ5PzL+BxkeGixpfOWZZgJrszyY4W0IarammcAEkEzzj
1IRzLQAvSeUYXbcrJMiXI91uyqE2oBWwOaEDt2j3Uq72Dv8jYpbvFay9IDbVa21qaCr2ONJVzWuZ
7rOw3eDoSTsOP7Cmf+ZprHPmb29697R2EvQ7Hkgb7TMCLpkES+2ovHc0T0/0Ro/absfM/MExuyX4
Sp1QxwwwxbaN0gGVyZOo46HQIRldmBsZKuiJRrRXM6wwhgdtpgYt4H0r4COzCavPOzOddd4WeTFq
liKKSgPMq7+8LZPEHhCcmv1WK2+Nf2Z20XvPKIfaskdtuSap5fVQ3B4mQT8695rkasCN1TBVSU4G
3trCUNeUTEOBaHryF7kVf9oGFI7/QypiKR+vj4P18CTdEk4R2ucNPFv/btqYeI64S47NXmQzzqPL
XTJfOlhscyQQQ26S3ytpITnjH+W9iJnxCVPPM7SwNujonXhIsNjJmAkfaTkRHzKOcHZw5/iPJbiv
3vYZhA1XahtHFsV/TXsL73LD01K10G76RK99L20B0fDf4+TodyxIJb6zcsip17cya0mEx+RJg51l
epah5X2vWFzsUyAwm9ICO+Q4Im8vePcGHJdlN3qvCb18+IQUqNmQFMQKmuz+p8yo3skkR3YxSqfl
p/5dcYCrgv55sk6sSnOMG+esOzboADBgaBP9GmvW2MD/ieCKtps312o1BHKXogNtVcnPT57TfE8Q
edOhQcBCugy3VDmJ/VxcSfBxjUF+FrlVd3zv+EQ/eQUmoAvTbC1N5/PZ46H0SQ6rPDKHEKE0X8Aq
AjksA0GWmgZMsUPxDt824msTDOjR0dgflMubFss+YkCX5UKfNXjIfgGejEt+yW5yifbmNnBp4Y8A
N7QF3uHIKsENb8QKMbsRW24mBrbfpjTlSOfkKSTCM3syYkdZFMvZ61+4p3bhDN6Cpbh0TMJOZCIM
5qf7l2jv+vMLXdLi3xpE87ug+pW4dqj6VUVb57ZfeS4uMcU4OUObzZVnDUMtzInCtfmuG2aJCQtZ
IeRhzFuYJ5023HOV8qRZK335ft7zV6gbGEAnnv0dW4nZdlTpAe/quHLd9ENolebz5v93/8aMq9y+
xe52tfaozNvvXniNhEKzUsJ11MjFnmZ3A2C/YdoiLOh1QG5Y3y7xB7/o6HX07naqWu5smy3N55Bd
6HuLaM+MBumyMhJ4gDQRAAaqZJ2hJr3O3jNMmE3QvX9sBKwGFwGOEyLcFbUntdATzL/99pwy+Dcx
bWvys69Q7ZwLPh1re/LEBEYmr+EB35RCjVf/gzPhfJlLT697Mx4uGvy1yFdps48v0zSL/Mh5mkli
ucBXEuo/yT5v6+VY8PvmYL2IXyz7+QAD97SFngSMPgf3V2S4MFP2u0yIDNCt+ax30eJceGUbFsTq
ZFT/aNpMzz6ysUb4Rb4a01AIB/Ahi40YjzoUbfCoP3GjLYPmeYAIi+ifV7r7r/Tji2rELxk8LgNz
PkVzEIxq4nhDvjvhuFW2d3if7/jZRLeNEFcNK9hKbaV+l+XJ++OI3XFhoTjKizL8glekAu2vrcRI
Xgv7+tQpmxCk5AqSGk/B1IJFK7Qv4deyVIp0sr4rK3tJT5XQnwNpHMUIGJguNqTUPqwljNmZxV+6
G73b6uZSP5lqz1aT1LWPUxIyhmf/VewlCmKvWOuZGR8ZmifrSK6MJ8WlnM3ut8nk/eIOBjMEf9Ff
ZBXXp9iKdZ4190zEtydoauRkuLLeU7hQwtBAYn4G4g6qzPPmuLsEbMQ7rOH2b1L9wKOa/el2BPBj
xC6X9XSbWjfcNuhAVfan6HhraLSZX6vpVXXhalxwhQMSW3ki2yRsA11scxgTfWX2QcbaKIhypo2f
IQutI2FNvl80tU7Fg9g6/XfAVMbS2LmJbvF7jfSo5e6Ya+rgMWsNcQaXzD6ATRvVedsd7kJt++Aw
63+AD3RBcsDLByaJShL1khc7Rg7cyNmNvoC6ABQqYgXPwiEpX/2SujlzLl+bHwLNsUUiQK7xsybY
3/i1PwQZUzFJZCM4Hwzul+kYqXybuD99hLVmSQglYG9Rxuo71BJV/KPhaE96nMzxVnjJG+fEGgLM
buPgV1R3pIY+ECmOnWI7aLChtV5bi0UGlXbrX+N9z9kwYKz3MNG0RL81jIylz6tvW1XPO8tSOhi0
nun+9bhqsBHsbVzr2mB4J/pl5ZM/lZRrWqrcSYOJdp00yg713SJYIIjPv4wuKx05D/zSkR+0iQCc
pmPmIypYQrTjLGRZFyt2oEYhO/tQl0I/t38T81Bga97Nf40RmXiHwM4SnTiVIfovy9HJB7XigeCI
TZjfj4e0v2avdRuZqnzQiayRpXHVnFO0bnZ75DiX9QHJl1mBYUMrlX9ToxNb7gs7X3MgEHB/o3o4
rVYm4kix8WJ2w/1zxrr9mgUXFYkcfLaSG24WexjYXm0+JmEfXj2yyb2WXxYNaGzjbLYHejXvawK3
0CscPN7VCc9BTfWMM0HyMHz7oGMVAdF/RD1yJ7CUN47FZBOcPCTA0fNM1Z/76YYG06X4nDV20bzl
Rz1ZAnFX8gteTH+z3LOnfgI44okiti+A5XB0ongg0TKESpm2bGYuxn+mMz0huxb6Yxk+9KodtxfB
GGyhT0tK+gVVSZB21E/UQRkK3Tsm8V0Q8Irc34fQth3RyLnz+KtOSY0FN6+FtmJZuPQCQCQL18D0
xvJ9FZZSMFUSeLOpY8rBCzUko8TVTGdNyLIoZqkP3XHEx7PhlOvY6WsuhIM0gzdlR0kbn3tdFKaY
ZmjejKw7/p1QqUmspghW5oUY7tykS1rL6Ugkso0wkgbLDs4WTRD8ZGjC6YaHUixrG7VL/PS5aF3H
EMeHiLLceqFTPF4Ty9g0I+peVNvtC6cMoyRkV0af5BFc26p+NyZPtcKjNLKv3bzTxepLayk1ODBN
AkjRjhc6SzkiksRZOqh54J8hNOyUF/kYL/0C7xVGT+GioDCEfsPLkTG4fYz4HK/ZxShVki60lK/3
IpQFfsnuqUFiPNhuQKS+Rx7OGqBnRjUq1LWWH5aQsPyqsEifNcqSlEq96P0MtX0vV/zI1P0VN7lb
996V2ql2n87atZcITJAB63bZx6vmPwVeXjseBmjXhFzDtH902f8MZeqDHqFIcdX5drBBvVnhveQs
5XD7ZiOhJj3UwhA9dD7ZgExCUxxC+WAaKUDhMlz8+iOJl/FTUKXD3Jz+qYj1fh/urnZy5zUcDORQ
ddUlZ0zd+9W80t4+2oDhnbgFDzlqqvsFVLbwU70w6SqDSUb3mTvOUTmlBGOFnBZElkeoguTnkQHW
IaJspqHQzKI/0qAZPws9+y9TseazQOBooAVOLcFT9LTX94ZqSKT7oKxgdWaAPS1n+a5n+H+aayek
BvfG/bhOZjAVp6K+fLRZR+lD0+XmyeMGkoI+QfXqVGpMxQAozNU1UeaxqTO9LViMZMhqbhlELo/N
S7QN5dfsnbKVO1tMI55T6kjwEps5znMQjo+8j2ufM9dF38mAJt3mtXtTTdBwvw/d7rt6oSOGvJQr
0GgKmTkAg31C3Wp0u+fYh8FG591XP0MlwVddAVb5PMByDC/avkQKEhrXi2aiX6yo4x3guTt5VYjA
ww4n0eUSkeGCpOriCsAaMGdj9aCvp0eMFRJ2o2jJBwf4mmnkn36q1wZcwYzvYajCmIefHo6NllOp
S2QoPasCdoqX9QAvrsGo/8d9sixs8s0Xy5BVexli2jHkvvJZpZS9JnpfX8po0JavG23dBM4Xl+Pz
9R2x8GpR7TDsVdBXwgSSjqAGVFdssQdM83IYrRY1qTiLuoACdZkt0cpKJ0T1M3vp+HDF1+XA3lRE
LI2OwE81y2XQIGZlU4Rno3FcA8TdnZxCWuK38lwFH400v3+upQ/1N3zi7PwJWc7Z7Ggb1f62jTra
aMCTy8bhoJ3IHAoed3rMIILA2xrwxOc4Ku0k+qfw7vfcuXYlWfd8d+6K3KiN3g6vhSz4Je81x0a9
V3HAr3WMVcWMklkaROY8a2FOlihCEugQD8QxZnx3YaH1gyXwGAGuA1bnbq09IMiRcpQ3DRAWV4Ab
g1Y6Gqcc8MlveCWeMD4wQk1vnC8ByUVg3nW0Q6faH4ONvEOCyow3VWNW/SQY//KDBwnXWXSBvw0p
etgOalOcn1aJbqBhbASKk5TBniSAgVKs4TGOKadTu8rwMYJVnFW+6xfkrZ7r/Vtn3Uc7p+Qs4VdQ
jWF26GTJJ8zaAXEs71Wji0kFnKumscbxLEdFgFHgmLR1RaqdyK2gYjpJ31jD0Q6U2aSYLw1zsMQw
L0h8yCTF8EUO3m2E93XMPwm9MO4jL0WOLbZHvAwOBL6fT8Zge3vaiTco3l8QGaZPl4woHf0v+vOi
HQGMyh66fCSjDqb/Jsz/JXfT3CNhNOVxlEqfTpzc+7dYEhYFXDGBxJyvMYShNP1XZW6Ym1tbNOQL
Hfaqss7cbXWGXyhE3eAz1Qt0Z1hzV0VV0/MYIZ673FIgMDvTD/SeddmHQzhhmA5ZQgYa2hJvKQOg
WCDKmljPboUxPxoXZzuLYEt4gkmzp64wUHfUZaYAOIW0G0gCnZYBfUBQZGZJQcuy6AWfo1DPbVMo
MIt0QWxg2XucNZbJ5sXnVhDNj0iDwimZk+z0CdppS9e2juU/nG0BqIWrgKl62RgPLrBk7ZveMvtl
4UQ58MlqgWHojd3bsi38Ef2CPprdGo3FwtdfA/BQBygizI9oMBFFhCYcQL3ZBfqwC7226NWtyjez
Yhks8BF4Q+Ng35BlRoqmQmPreOCerk3IHP5FO9GPMytstqdpCaEnCQB7Pi4uD03gDYiK/ORAV5Hs
HS6lju0mzMPMIJrMQ/hgYztajmAZFggM/BSreU+i7xg9E13J91Mj5sNJQfarZ6dpyIs/5YyqOYqX
kQu66tdtsY0DE8XtPaypyaUfYJt+MBe2+jzDFNETEz6WqH6IxoPIZVCEtvwG7gcxwLERDX03bfhI
NONpxlersUFzFG8HOJdnAGmLMj6XYoi4uKFfV3cal5AVDzJKQ1HbErHe20/VJzgYLi0WzUtxQpw2
lKHhKDGuCWe5utfbGEbboPN/gKnV04DHZJ3e8PIJTvw6RnSngyZes1cWuoV55leoFZngD/4NfoXu
cmJW2qu/dmGJRTEVDkkOErUyoXpC3JY9UABFpuCS8+LCa+KqgP+hdeuuz4Uek9dBREnisA38ir31
oiwALiPDaV2GxpEbj++oWpykPmwC1fqyEG8jyW042eZQRUfqghSEVg6cXFkqCX6kHiWGyjEklcVN
t23blQ4fPBXdUssEfwsrBJCV31xANFPlURyCzshLG9JY3/UKH1oN5eXouDvur3/FHa8W+aKqUZqD
mKQRuv+fJ2FleFwvCcbUsbnXNC0pK5vJjwmK0MxZQWI3mtHECNoO/sZksm6vGLremAU9Tq4mIGPD
4Ee8TV+0/yF0WV5hqUxm2LuBXwfMJjkqQOVsKn3mzwJs440LODTLwnlZVtfUsvBX+wCOYMw10Kf6
e+1CmwmPanaoHFjLyf5rKO7ByaQspY2K+6ouQ7yyWvMpwHrBs+e5hfDSQ6oViUMtixV9X/Rz91AM
8sv0GFe/LkX5qWLMO22ZsiBZ9c868aT+4henV5y4GDl7bP+sfUoqGK/K/CPawv66+4ez/mLA19cD
kGcC1MJ+zCfkVBG1icmbuBMrIuqY0mxe9uUbUip4k+Q9vP56ZgrVFyjhapVxSU5DNyV9PuUL3YnD
ObFxln8kH6moYKmpRU0zb8C4tJ5tyhfbN+OCUoM5FlhgMYoYRNWPSRCp2FB1KQ9JKT8HMlARebyD
Wzhdw4wNBJvqd8YvsC39MsWSltQ/UV0hwQo4L9mn1NzzfOotsc/mWkZHlC6nhqH2MnAbTTVdJOgc
AwhqOfrRucSOxPmHIExuty+DvjZb2sxESZkGxVvt0H77d7SxJpY9uT/72V9UO3Bp0UNDZfdw+NA3
JFn11snBPYyOxYx3+Hu0Yo5HF8QbZe8MZHgD7RcWDgayLoDphuzTa7ob/pG5z88PG8fkcR575Rro
rexDbFhQzUqukfdVB9GbVSBj3mkziiX8LTQ5vJmANqARRHKLWifVZFyn4mMi4bXOiWnSnCejx1Rz
AYT/WnFfDTDeqg/a+sjBfijNOQXIFjU9wCMKz5vQN9FmZcBNxEEihJGEoP9KFIItZMUgQmBcViaa
LhdgxGJQJ6h7r07jmlTb7pWY9KNAbWywdWAZOr869551BkztC5wNFjJcB3IVJdEExmXgwrBvtdkR
OGwbooVxgnVBmuGemsQQj8HVJ6PIdU7ZPfbjkjLoPEYsVkSUw6B/r+X10VhJ06ueeYThb264szL0
L6+Rp/wHE/yqloI8tLA+wlzaqDbVbh59XDMdTXMgBTly/+rSC+Ghhmjshaq5QiQpWlpBoocST3lJ
MTRq5KuiFs4D2350iKCQ4EL78tYuUxzhyy/GiW7NXMwhcdoFO3hKGuWkKAfd3SQ8OrV+paeq6Cvy
qhoxQO0cvCnfQ9agmtr/Np5FL8ZJGgmOI6MoyDBS8se8ewdSIoPZNyHn1rAfQvOUsKGHLFyYY81G
q+xVycnqYYOvk5ZDwAj6hUuyylILDOzRIRhE6MZSIu4KPjYMhbvemJ0cMVwqYadMgfGPiHtfjHCM
wcd0nwkSC9bII22LZP+tYoA1Hi9c8A6Im3UBAIr7MYWTtEHVgVJxK3FVc1eEVlqL3twrSpkjQDCQ
wF0lPvFNa2/jQZAXlTKGq8QMDzHV4B57OUolxkcy8XyO6EeTzv4Gy1mc8ChcBaCjUEi/9Yf3yhIf
2jc3dQ9XU3gSfoFN3wBicQjv8W+1XByJUp2J3QxFqiveYDmhV49aDGXZbXgS4ZmiA559fW0K3xjY
gyRdbY7xAYsO7RKzs5HfPb5qxuU5UMcdf+Or89MYhECCuf3CJCdeR613Cgh3bIWxibGVTPLlU/ZZ
kwdtUCsS8Gth2QYTnQtnV1fFo8M3zjOf0n3l1Eo6A2SBaXLsZi1YQlGZj4cF4jqYQ+ZYC8ENv9+N
gyteY7IL7NlBgEHZvtkNUK3ZUOjcjGXrqPh4s7vO/9eLV5NaXdd2nGVMV9nqpfohr2cnBqjHUbzF
v6pbhaGvDQ46O3BWEdptvtBav/XQW9tjJTjPzvSntaqcRSlOAX/O8eZka9hjsRl58PSlzRWV0jHl
aAp+ZNdEaEdaDGqBHYN8m2e6X0oQbse6wGPsGVWAiItOMSm4YM9qaUAGgZmIxfBC/LxVEC1fxUj2
t5pkewjLWFoI9+ue1qBxZelYHAHUVskBkqwCiuCU8KN3Ycwr0xKOY+UT9ogpeU0QFfZxy15XRr0A
M+i+WloKRwZ//J6VSKV2ZY/kap89YjOiPhVxhkJEw8icMlhur7rQ+K0yIqy8JIbWBMwCLP0KTXp/
yRlsUvn2ytaGcMAhQRJ8Cekeo8yOGIrIm19Pi0lK9jljkUtaqcE3qO0VopZmDx9oV6jKrK2v0/aG
nU25EjbISoSOseYG9DIRRgco2HxFqHBg7PCM0o0EnlYNgIke455NqSNHmubqrd8cotjo7RF7teqA
OWHncMCpQgS/HXDI/VqSPkrt99GQibo6aROFAuOj8W+kKsqIkZX1COapwiwOERz8caY7DqEApuDz
bt8XPvs8j8If48oPCRLVvsFC+4l3Fez/WPlktYtHH78V/tkxDaYB/HRpTvIATNi0ApbGTj5lvygK
hmwluOdRoEHt1C2cQcl/8XBHMvi3TcWZtuQQkk7DpUijMQtnOQZXrX4s82El0KEbpTxzAw5eNHRb
j6O/0+7FftYffqkK1nR7v2aSHISZZ65jJo6fRpI+ALQoUnrjc08Vc1DIHAjuhEAx8IxD5L8NJ1Ye
WdYVAx+BFkwBaJRGX9d2l6AAJv7zqnyXawG0ukuzrNogUHNjArgqG8D7yMz1VEU63BA0Vsj44HKR
0aHC/uBfy8jH0n9FpccOuWPtI5sYNLm+K+EgZeDmqangQTkvM0hHB0Ep+2mLyIgcfttZeaKttnqf
cDCj7UL6ZQtttx65znMk8gYKTrYKIR+4ywVzBey4O09BVzsIaysbZscfXKf9JxJCctdjfNTqoVik
8EgWgL2ID+CL4+Xh/KCJVvjjuWVWeZAMDkYBf5RKy0rcApEn58gMyreh94RgPQofvbxZfRntJzT/
THynwkXdjpGhJYrp8oJwBlgzq3O5GFKF895AQY9Qr0eIO+d32VhK/KidSb9stdp/ju0GJs9GguIj
oyTb/aM2Lm1zmIEmzbyt+JIt6/0r4O8rzFbCMtWxnC5KyT67SgWuNj2aTGexH2ynPHc7PXa0PUYv
Pb3L1yPPD7X99awyUajw4yQzXT83ui4uktfZs8l0zgBrjgRq7+iHKbGAcUdNzOH5SYHH+/stmfUU
HAZLl6mkl7v5VJdpAaKNCemUr1yxtGbeOcZRDbEne+fI5xoZECyMHRw84+wvrcUS2oYTO1uzBDmb
FQyo3qdoe1XXEPgz0iCJO5mVIs4PMEhFolqI6ZMxzhDAP1Iga77dNf+6VcEcFR1iAUprDQUo7wtg
mXrK26sf0ksh5eAN2Rx7SH2vKIc/ELaHbq1MSi14LjWjAXveVBmccr38vMHzqn1iyEF+KTNSTgUc
AXdHnGo71G4gU7LpIAbMWWAguuRj/fsR/0iiMq4x6oj4O9jKky1RdsafF3OQhhTN2xFfec/y+fop
qcD8OMChw8TU1QtZTn9lCH+NMyp5+Cm1C/3DIYdpjaTUtjzuwdPP3a/t+gWBmtNGvpv99rz0i7+S
gaPMsevJ5vCrfRbBXIWgH7EgQd5jMwW/fIP2eAwzSaplYb323DWQwpEXmrs+OQl+gHrJpj7cIyDY
kS2xbv0EOF+IReTuCUIYVmqXdutLw/xAcRtd7+2vU96V2+CBhFAC4JHGMycETKE2hd7qoEck0yOT
JaAniuGnbwzitnnfRdmd331dfUhvmoIvb7Lt1JRb2hAZKN7EZsvzXEhr3kNf1AtG7fK/kKRVVNNI
rgW8MgSzOlOVv7ytSJRh8hW2Jg9DsItZGghHzqE5+s18ElgNbebv8cQSxXSRHuGUmw3l3akIJq2H
HDekpbLV8SFw8+fBdLneEyDbDtJZjRRtkQC4BU3YVbxgk+AZmJEoCNYnzKwf+5qeMMpmyOiWnfzJ
lnjZzgDehIuwMKHR0ZVW0U9ekpNJFvkll4OJr0UEWF570lVowsxepDSh6RzkFrRVAWaH9WjtNFQQ
e3AaMqrwzLptLi/BNxde7MXPyAuwut7olU3U58T6ms960NReEcXbp5Zcg6tNPFynVdlkCFOnHlEi
7PxQ5lG+49T68PKV+NGBqZzD3p3XKsUabBjbD6aD6qNqmTuRYaKww6brwdcBsbUEs3JlAfUq/YF3
yin7GB7YfcbfZ4KVII4aP7BxduQnWB1nOPNbeOv4HBFnBiMdZkNb3Ffk8fB8fzSQkuDqX2ae6VO7
vHovmJJFQoNDCxc0y9lalTSYpBPghQk+9D8hOj4l4Hmab0thTEuwpv2DM9kGCU+U0pb92K8nhrzO
+jZCiAABE1P8Ta+/5Fxzrb0irn4t104cU4aHfRNFTQvj9rsaztjtlMWTCNIwjn7oOWJnjzoMbuC6
noixnO8RPiL9wL78sA3cIzQbm9lAt5B27GLp6FL+UqucRSCWFNsxJm8eyb9Z/SAF2mDavbQHbqq1
CfpTn4XD8YQw7FbA4KFQ9TndEbFuEZUwJd6P9IxxP0wYKSQ3EV+PnGvw2A9P6wcDemx/LtNSMcvH
+4Jue/luAYco4a3RpiUCgP/I4mg9mDvLik9n6XU6dJbbR9mnYQJEVR+uX0Fec5ivniBkTnBCJ058
xpJPEPmgBJNFx539yfrwsKsnBMX4tCkGBlM4bDZWvJjZ7gso+u2S0I4Eku6n1KWC13yLsmtWVqTc
M8kvEZRLzhVSbloL1vYPr1NNEL3bqTlpg0ATe2LKggjHuYcuiqq7pVby9/Foib7A1MXiHvHSsQlT
Kme2la4RAW7PCV5GP/ExSeFPFid8VdkPw0LXt4oHvbDj5BtSpTxS7vMKE0OKcNMVHxcXN5QQmggI
/2sIICfKrlKjGLZRju4C5fZEmgoyd5JysZ7KK4qUG5Y3OW+6KPTOhUsHjQcPRb9PttdJW6HFhvVD
cEr90Ef6O9N/Es/TVMUN/qZBuXdSOA0TYTnAti0LVFREftMGL+B43uqJ103A+zXXlFfFdgMr7yYB
StUS0EXhecD2UZQIv78mkfoRC3AVsr75cPmYQ3D4fN/jrGTppgZCSNZjEVv6ygF9Xf8ZOMTl7ctW
gqnTzpbHX1Z6aNWVV2gbO0qWNutlD7Szv/XqqHnpJ1WtUHyZj8D/xa/zVPj8YswmogogkmYp6NMb
Pic2vBZQ8ym/WQFEONZASOmYpXy/V98VjXVkoC37np7ji+bZssvsyAwm5pVqM86rTCUqb+87RODN
U+BIjRWv0CY/ZjtAmTlQh4NpkdhLfMgtfWfUB44VHcZzwRLnERKelTm9GacC7xSY6SzGrYGwgDYB
pxWhY44QC761xiApbOJC6YfQKT3OwL7w3/y5qJygE4DL/9xIWM0tbK5BtQ376cSMW8JJQboLLxEO
jSkE9cAkKFBgI/L1fiajtAhlF+C3JN1KRPRa4nqQlgq/GAqqSzThK2iN5INvFl0LuOr64f6jBkuD
rc2cD/hoJl9ZUA7NC+k2NE5HbnxSLE6VZ2gRIRaSX2Ub7ffLoOJEWWA/0VIRsJ0f++vUPTLdI6F7
m+loh5XOrK0rRCGBBDxG1ZiKdEG4aG/FSy8Y8xkFzRZ1+iLifij4dEOkVcGUpTjLkko94VSrNvp2
NDqTrcGdxj3U9+82onNUfwHmDo9ewC/paOmx2Nh1tr42lGHBs6fzYeLMyt/mWGChD7cKl3fHg74a
ct3CVZtcFbxHGSYiPPaOMwowZO9dpWhw0KOTbhxrY8+ibPOLAo0Z4h+uhJBVbYFh+N0q2x5mtIWE
zafhdUbu12RfFlViRxVCT1PFc2j0CS9yPMgvtM1GysCm31eOAd5TZ9rr7vzEm1vo11fgmEB18/dD
WV+ao7MjDIxFyr40jUzQ/gjSgv3r8Z+Bjs5IEyFOZceSC+pjenI1qrYIK0Re9abuzbABzB6FFYk+
gGdkNetPWE4CDwgjwnF2zJGpMVrBKVyZQsJNwfuvhQ/XV15hBvDO3sjX0yOnDnawqbWRFbh0A9+f
Xzkwa600AQ1llhUJaN53zmNDCY+Z0NYryLQnpR9lvz5NbEjeeeW4S+J+vjf3oz036wmkVHTV5pS1
/Ssw4Fx1sNsaBmL5wPNh3wGx/U16Kdc2V4W/1p45ja5l8KfVOTzKfL+SMJSxGYqpHmUzCm9UNTNo
prz9V2b2KTKl/ArlN1KgXqhpR/zVrQPkUZUQHFF7OqzNyqJZqAOAU2xUcCpt61ZWl0eAehUQpvK+
Dxl2ZCOaxhYId2YH3EaB/nWNLw0ouwUU76RZrpiW0c60YUfwB2jjNTQYK5TT0RE2Hcn1B5tzrmUy
Z3ucoNrGioYDqLHCSF94pyfvmNo2ztKdHdfIVbX7BQQWuDa4va4ATz7b06M91Y1VdxZrI0jp1cnc
tfm37DqrIBFJQqzvLHSYsOoFl+60ShLMpJ+48L2+ZVNiEoR5pbw3ELBjXmA1VuNsglKAafgTvUSF
i/YRPxV9GQurdWHyp6HnxhAQ4SxPdckrbpZd87Uei+zcw+ILczCl41VyNYAlttQABv/HIDb10pgy
UWwan4qwNyvMB/CkCAO8g6bd+TS4hTs7xyT71yzEx+52MBrzqhBtXJ4imp8O4Jh93CvUVtjqPrxE
A5ke/ily8mRxYs+k7q4G0oQ7syE5LxJ526QrxyGsMSlvltf/zp+v5gpx13/sdWnTgKVGqMqLHu5q
xsY6A7X/5P3DDpdUjO7ZSUuS6sVIViLZfeCdDVBthcW+V+cRuT/MPM2jVDbYXZ8A4KOpXSUzkJgD
8FSg+bgAaeTb4F2EjPRrZjqY1cBqn+GHdmovX2zDI0smgWQSseT7IgRMTEafDdb7sXLWNKojK0ja
eroAVWxsM4MeCfX3ZlRbksxGgsyiLjVjKLzurRgP6lYWo38B1kRvdj8aD+D6cvLzevVxfF4Ozn+j
YF6MMMgFRMZVnQI2XR3ntDOPQ0CFhH2w+J6rj1qR3RoB3mKTdsPCLGBL0hR1RDD22JPjCYSgaZ93
9XJUl4+lDerfiWyp5nj+drYXNxWBgqbqidLRA17nh/IIpojMghMZHp152xoJBZ28X9RA/o8GOfHp
F5nlrlD8xmMuk+SFT0mkfdw87NnBMVvWt8ztdjRhytuiCQdbheVh4Dnbo7XPP9+YqfwMKfawN6L5
3neHiVMTC5q/ephxwf+8MZRfAYHl8vQkAHtlUjsaFD3DWHi/TjXxodejRObDumAF/RcIku/NdXeD
Wv1z+BvX/lzgO2xQkieXL+0qthai5yV4UfKcEGBoBNfmkKQOOrqf5SvzqtDMW2mfCCoaf5m9mGnm
/4u9Rjo3yVgDazpJ7CMXdb1+SQuTpxAaseEu1+sLMWqI46xqNi6H2nmEJ7Am5KbC/IlrFotDdQHz
fzKCopivXcxWRQsp+yFPBmxTBwABb8U4goJmTAEMOe40Jsk1Lcz1w4ono5Gahp+lxtxIACeqdSCg
sJOHUaXcdfN9wVAaCHd5WKgpw5fQuZ9oJsMiGAX2YY/0c3ws6O8Yk8KCwLsFO0rX5Ip8PgAtQNDO
KI7xzPY4CpQSwH/idhJVPlEBnGz1EtFbUYvhC2rvXV96Ocuc7O78Yp3w3QdEnsOPcqyPo/OLft7G
VxygYmqIk97KxWPSddNu56FJvXEyV1M6H7n3dXjYhl0acvfVid0649VBbIuqi5NgSpHmEdeJCNzF
169c50XMQe1A6FAz5jJgeoSjeiBDD6HsWDRrBl/oG6b8H2CgKxiz2nXuew9fMnCAC2aPlpYN9SGk
hWNwFOF3AQbJdPqgkKbqVkw8O75XYey20vBfjKviu+jHoqeZFeNFC9ks3GbczJ9J68ju58wy6Ygt
OyVGJyac6QpdjzNtWTYMq5K7wT7HicrzPnTDmWrwHDOLdPHYCr+8vCERkAryMgIdUSlYpifGgxoM
cZ5sV6W6PlQWUsK34jktcFgNa3HPNUq3S86bjFX0d0VViGzb959peTkxOhICe2K1/CrLjdgmD2NJ
Oj1dJyd69+Kh01Exu2E5Q0IqMFYAKsKbBhHKc2+R9rRl+/6nkgLS5GZL67XeLj0QBZxiYHcIoN/p
NDP7LRfnt/DToNLd0wF0J7TdxJrYl90Vnch0zPi1vopPND0oL76Nl5Gp8KdUNyukznfoKyBh8u5p
x0Uv/xXj64Q3TEXFVmbtsvkHc+KRIEbJzZbo4adeD49i+S37Ykywc3U5vEtOh449cQqTihLanSmW
TtKWjtzaQ/b3mFu7fcgtVz33++gH805zZi+RyLc7VWa1nYDnwikav6+QtcQwGTfN6kO+n7p5TmwY
jIm9awwOcuaDEbWYmcrtEfgIyiZwoyiFKXlNNopypnaLS6h+6j5e96i2y8H+7e+hNBPbq42uthwE
/YlI0GDUKo0t1UpnZ47jZUKS/AatOTD/oBcJBshnQYhAUGW1OQPctZCxlNKD6gOpHLGU3a0BQnA1
j7Y12et/nd46AqJn3fn+UkE0KWxeZM6dTzZqOV4T35d+MV5b7elfHWhiHxsAT+d5iRq1Vx4Gcxu/
Pp4hszwAclIGPxg/JDF47WR0U7bXf4VIEHoXKcqz5SqENzIO0HRCzyNjD5slh5fcU6XvqdQL5S3D
Z0rRJB5xBeg1rAsBqhgSfTBs42kCtx4ZyIF3Bp7NA08pa17ikD53S/0ZVphydB8WeY4qITdkYTMl
cyh6IeR4rlsUnfcU3HgLje7BNALUNCiueias7gWh9iYlqGVxeOhyhf5ntmy9SDZ2GoRFCLnUO7WL
1RWogwbLzEcfahRWRaHnBRs4cB4yM3XAOFocfx0n/xAtWb6q+Q8ATXs1uy4XoW0aLB1E7VbCqwJ3
D3q8HtepjMkSye/3TDxrYslcdVGg0xC67hRJ6G5npmgyXKmMzp4Hf4Qvw+KcbtvomcuxXm06XeyZ
Ae0LxZTKVHaCBKIkTlKL4ZsNuc3/ZZL28k0SIbGzHZyywvejmLGzAhorHwHk/fExlTqe0ndC98/S
aDLYQ2HqmZCm9dGt3fIz57hsPkH6G7bRfP95fQAazaOr9hJ0T6x8Y8ae0ShffL9W46/zLER6+pjv
GJpkAx+ZqdFK3VrEsnIxCk0jvH94ioCHcRD0BtU5mx31pXgFyliCfrN0FYcZgGgU04lD0lFVEiHL
qUUM8WOKYOLe33JoeDghXW+iuxOzJPb3Mlm4+ElY4X88mzxcJHHdxPoQJwWVAyzFB1KF1Ofa/R4D
a1Wvsc7GY5eDEe2jfFvl7KDaRvAh30yRrSscQHe8bHAwgKYgld9yioSLujanon1REXMdWeEBI4O4
sNLWv1deiEJW+b+qhHpNqmHdC+grfUK/QQF7cSqG7bGmTvEDH0/6TkZz0UsRPloSTA/7fMj7NwPt
4IcNbPeZC0dTZnuSQ8m/jd8EOz5ViPrZp1fA85ATuWsW4t+riKqRbqiWwI9GZSTYiWt+IFMARJ12
Zm7uUvOLaFrwvv35VgmaEuf+ZiRHDkhH4/GLcDT+NuOwZaY6XQExTDcLowELl5tE6WnG5rJ6d2Fp
UhX3/iEW5WYaBwQzN7zYlem2+MumbOND9eCnc61n0v/q+vz/1HHhreFGVS2vONhdy9Ib0ErfAOj3
PSaO+ywe336oMyP+Qusanqji+YX1RFb61PVm5fWA14KoIVVsVVHM3oPKWHsfz4YPK/ECtulNpRYl
2S/WlcLTsN/E5uC1CWzxoEtWcnsvtTEF1npW5R9yZySh5p9pLCWuyPi7gHc+9Twm3e+ZXqEBjbPl
NL26gixMVKqGwNx0B4ilsMCojLrR0BuwFYu+flERO0idtfoNDBlx8lWk8XNnKtjh+3IKRfs6QoKK
J8x5eqG95mHMl8z5pVB7j4kzzlpgng6vs00jB1W92Mh3PCmlVsUSgotjnR4OSuqOcPlJjdbUe6IG
uQaS8GXbwLQvfA6n+99cBanOkokbSUTTuya5PV415cNALFXbrIaRT14aHk510ulcGibOvhinLUae
1RbEe4n7tFWfdGzAgk1c/2mcND40ihOks6Jg8R8alkTNIJyHp+zh10/jgwqExVY+3x27qKNpktLq
N2S0ivBkGApNfIWAny3WKNC5CsZ/qliPrdnCwmIvZbK+AvCW6Y37tDQfMrdHbf3atYX2h79InUSL
mU+8QztG81Qkg5akP4aDslRr6oh2xqym3yGvycdCmJ3X6AU1yUyzt8dBq2H4W9MzeWeIdVWToMUO
cnIbw5vX7Ap1cO6LCkQmnEnG1sIFmFIBBAk+p9jQ93a5C6iOJqdXyrTdpwkkp2uXGH8fOFGrlRqp
9G53rQEbsBKx9UF7SXjzspKkzNa3luJFwMpYMAtm/3GgnkbeYXkqrHiVjkoVaMxUye2pujFZC21x
vbWN/Qk17zczfPaig7cFgjNhgHRVN+iPd/9ftjSEhUC2WnUsoLjMuYKysKtxGkRdvi0Qfduom+R1
V0nTCtUoTHDgKAv8nMo9JMV+lIZjVyAPGx6xmBU5PCkT2CDlB0//G3woG58BAobSjTCPNt+HJFHD
iXOelav2PNKJShQ7s7omKgggnOvxE0KtdQEDWO3oTvuY47qfDykc2gBlZz7T9kGNIzWO2S+iOAvZ
hFOq3LIuWKPSmHdip3ieicD34wIxJraM0SwfBA0Mvp1ep6zM16RhSxNhOVDTQpN3OQjupKc52YCO
FEwQPuYXJGRAqenY8Um0r3AMPo/Hxg0BmX8O0055rIkyA3PKXw7GQcu6qZ3GLawEd4FiQBB6A7lW
/y5nUvqRVxaeixhqtaRWulPbWNZAhG8MZ7JE1Qx6CR5gVdMnO+oBZL++bexg6Jh5ELSV1XagR6SD
K4/GA93hIZyjkExsbO0fUIWpHHq9gleYBZiKxEwzpT3eMNz9m6X+zhRXg45dXqGyt/MbURoByuP3
gyRMGCEjykwOk7tKKPnXZSNPBjU3C80jqHB2RReQifYmjg8kX3QQcrlcSFngyLRXtwmj+rqROlgU
359wN18l16D6+78RKeKMo9S9exXaVX8ogYT+e59R7g6Fu/ltvle0UTm5M1lT4TvNIWHmCWI2ORe3
ucJbAMa8nsdtHr20Jb/wMIJzIfAieS6a9Jo/nAepOe7j01wN1NBzqcsMDw5hVsGuYHrbIxLFeBiQ
F6lqAi72CeksDuA7x9zwpDK+koROosFl148nL63YxfoHh9kmCSSQc/qLNqb9LsMSZuiz9IM0I2Dz
KsIUVcCMTI48Kn2unhKteg98ExJGYxn5BYa9rMCJMqnWvLWkZrZOE2TBkTy3XdUbAnPESEGRzbfY
XrmlMCN2teWaz5nzlTuI4cbI7uGxKdmfNJlblzgAolviAv21fFpamdt3epaGR1UBo4+ZFCFdqOyh
glyvxFK73fWrMYO3RPA44/do3hibidpvdunnFJ9NzJr9v6JBiv723eXo7F0Q0BCFzdfQ06CCilHu
WZvPSRAuxfQLO8CpL5EGbFxibLEmYDge7JUGAyL47gSLKI1VtEdpTAgrDguPUGlNu6qc+okcE19Q
qoL+6/jobyjQVQ60ihAr+M8pCnYJepu7rwEoshwfUtN3FtBdCuQ8ln70YdRvNRruGrAUtLavtW8q
UcsXAtzjRXFzWIqtQSBwrcTgxi5/AcmYB+tMSukDjV3Qj8ptTEduSb96jZ0+tsh0kse6PbTzUlVu
SbatQO49oYkGYAX4QwSCmsIg+4dNAEO30VXuNhMuavREENoHf9UxAwUvSAyRgiEi5nqDK4LPUwmv
5JyLrMRJ8dY21eQDUCn8g+ASM5tzsK4fp260qX0EEy96wGZgn7lbFg+zb6OWzaVtTnRrXwIREqc8
uVEwu7NBBlEselnir+U30pJAU6N3WF3EfPBoM7z97AIo8AS4sn9WGswOUaQAUjSz29zkiBzlKEP6
WQs+G/mROQdmmfDL+ylcI5SOBALFgsXkyw7MfBwvI6vPHlLp7SfofeXzK1FfuWIhAQdjsoDANZJC
GoL39qNHhdSDEHg01UKLf6sh+Ju08p1r3rhP0Vaf7xY6ZymXSlD8Ge8dv55iNvj4D5Y/Sa3lQb3k
LH0NFEN5bzpy5Ct+SviL0Un8d0ktLPVmFT/sc0YueelOJQ+I7V43NHFFVNjg7Rk6cVrzeiIaAqQ4
dFxpfRsaRMJ9inm9UufxAjhJwRnz5rWvpXNur4ZGob9EYjaf+CXXGcqnW6OtlIkCmuziBm3kBqtS
epdHvRd77bwnGGvbeNFN3S8NzWIYIKDp2XBiqpuNora1gQNiuOjWkxMYKDeQB4CiSVVnEVhzceM6
1zV/gzVVoCfXzscR2PH1FuazBSo1+edfnbvVdKwsrXXmgEA1Tqj7XHswE/LEl4Cta1T+DPZ4tHEy
EyhdNnngiXZjsNcI3jJO3hjWnaJL7/qQx0fW+yfTvAa5wclleH2HVtyykeDnSrqJ5ciJPew8B8Ka
VSdKfyJgC0K+PxUWoFT82vB6w0/V4fK7WqI51bOBSWzrfJcPQpwW4wsXnRuTJxXb/e5lSBXqIDR4
f8j5Bxio3TASi5LKIkdKCC3v24b/zp8spBtBy122or6SWAxxD889rlAOaqEWC43M4nuyWSz+NRXA
X6iT2UZEBhSYG2R3MgVaFJKiUhoK5M8pd+3F3J+kIYQ9ZyLGuhw6G/TXW001z9fZ50YFXk1KnHS3
3TwzE6nN/iZ0xubrBVHOUBOdxwbLLBwC09nnmHefmj4mvusJnQoUkOnpn+DkzkROw/6WV2XuMqC+
oJ1zWvB3ZHpWzvla6qFI4/QDXBkQx+Rpbuoarlb3D98cIuSKMW2OB5dMRTG8RSMnzy22rbh7bNoG
MQGlskDwlQtvu0Od0ojl9p4bulqZeYYR2Rmd63Q3TYqAcdbtEGjfjOwQ1qVgYteLCo0cII2NEoX0
4arC57JbEnnOmgfiFVU2H7lS2ichO427sR/Vm5VBKNeZMT+ctQxlsomwSZ/lDFoDuZZtrTZ7SRya
CGa/m+x1R//Zgx/GFTTq9SiV3ywvMdmMej4N7UHMkcUavYdoCjGsYSajJ3uH3pcKQ0tJBiihhXBJ
+k5byaoXN8Xoo+krNgWTyQ/eaQu4J9tK26mXzn/1A3gWWMvN0qtk7/hu7lWzKAWA9iLGZvoJpwXR
x/qXn3jaX83vox2HOeE2tZYxNElykZB14hVDT46JRqAD/c9B/Nj5+xj/YqYno3rDx2ReqBrm9+E2
tpD2NthZcIAdna/XPkAGZ3i4NdX+z46E0JamJ2ls9UtN3sPNw0VwpSPIXnkkWIlmUDAkWqJoElad
F90J45cwKIyTq2ZHjOaCT/FXO9Nv4RB2yHDL4iSiuKE63sRZIaSRWRUwCIqjZrEcrGgNu/4PK9wb
3fkWmoGQqwTnVMihhglo+B5f0CshN4u3WL63CRfOCWtp1y1kdAcvX5+pX56Aqw23Ud/1+fCNCnTu
ItN/qdHbuS+7BkqDSwUpC9u24V5wS0fppr3jXi6kzDuN/OzEHtzsQ0nlTBoDMyEaZe9WVH5qnPgi
p2CQ+Dm9RxuI3UQ/AVpqm3/VhMscFERlMj5wYY/QaN6L7AApiKJuxNmHGpsUH6MkgK3QKyOrgiTZ
lK30K2Zr4U0894S8FLaT2cl1v7KrkvaVTCms6n0G8jw+bHxOe+yTf6rKj1qpyhyYQcVSCsPaha0x
djQjPf2aWdsUBe8+r7tvykvhKhVj0fY1XKLzy/rKi2N4WGXs9p57TZ1KyrzRCXvb5a3cxbaSQ+it
2gjWr6v9E/Wzz4PtLCH6kecZF8qHgF5tpyA05laDQ0pJ0GB6+ssstMFSK9QNsMf68vNUXweMnh0H
LsUOXomNTx+YH/OxF/zfg0590pzE1dyE0CZ7LlAVLSeuprEzNiD7/EOMBJ+WOOW6adWTjufIw+Iq
LuOoYqHgCkEFzbg5Ptae/+/wd49n4o4dducCHXoGbuZGRrChoP4IRldKFxwgcM+/aCfmv/+SYUBK
NEDxqms2BufyW1z1rOHIzzZz1uJl3pUxk0zQyPmmlLxFmUmFAIyJbPR2p+AKEkVtPji0dLqBo8Gt
Fzcsc/vCqCzhH0i0tTeHD0yUf5tpyGZRDE2E7MOGJp5wmVTbMeR2p2XaotFPplo9JJm5FvLbb0+y
69d24kFgx2ILEdzjGkpqMiBYtUZlR9xpiwu4/ij2QrHV7HUkoxhvdyi73cRKIDlQGy7x+L9f7Rlb
tk7IrhTXdm/WImpWvXs+wwVR1sfbp9pJT8gebakLcCsqu5OCYUK180IeLPSlTUcsIxvUAd/74T1L
9oh4NW3qRr2NUA59QDkcT+x6erp6FUJsV/Gt1uugBmHBCTDWoem8/t53eXMVUR1gyVs9Ps7Ce/Wm
9FKltvRnbzNgSisddweiKVK2v8Zez5ZV+Y7T8GmeGifkkWD8PN7CxtIqGIx35pogpDJL8QL+R/Aw
iP97ZqSZfqBTHy25f3pFfrLncR+ZUb0POeZyaQR0Dxc9/B15xKopluH4iteh/JyIxIN+NEXEo/zo
NXQx5+dlqOxmglksowKDubmVGcTjFRzUmUKcCLhXKWmonuojOSPF5Cd7CnjJGCq1X+Ln21fZPawa
MOpC5eNDtw1j72RJ/y8CY7eJpKj0O6QFFawBGRn6Qm+pXLSgOqWZJkXTx9d3K8kPK2RJg1dhYpDg
mKok1vv0um2xBK0j7ve+dVKr2OQ29JYzgl7BwvC3PYKTJMmfyVmJmNtaIYuxBV/uea6hjj4mFYNl
3B/tYS/GDM8pHCtENodeoMdM1F1parqaNyOhhannDqJV4MBTxWXfqHAKYA8nQECji5erx5swNk0C
iAXAs6UWQz08C2DaTOpQ3vYnUMVe1/V8qljBS+dejLlohH20uRX3LtsJPjYe5ud8PczqZ8i6AHan
rvZlGN/m1hQflNqhvqXowO4Tar6AYtG0gDsv61mNIlIrFVDf1Z4LtiSOC2QyuDjlbzciiSeYQIrt
Ksw9VmY+MooQI7qAWH0cZge2rre5u/D5aX2PBnJvn8DX7OqUg8iJlHtUZQTJDpyPzwZVHaGiAWrN
h1C3KPUs2fO1pQHmJqUKWmVtNzIZy95ld/SDEvbRajmR0oNVeCwbypJcqgOlVJZUuEJVs6J10lAd
j96Q6r/HC8gc6cw91+njkTc33dtNL5Xa/zn75yRT+W6102ySVjxFnCVUM9Wo2idWTGq1kwVXInWa
LRYaFZScPpPdI7A2Sc2bEC1SPWVfzS/qGcANMyPDnCoPMKXy7jvP1yM29g+0hJF26l7YIPZ5FTeq
SWKktFG5svRJjRvKk+Jsss+8l9NbHhlYza42dyYETnZOzPggvWcaiuECsb1ovn6kXXafK4Fa9aN1
Uy/sQjjnW9ZzuS5hURiDaX0rKcLj5AeQD5ZGTBd0Al+k7rziIkUS2UAiC2bABzfjbjfeD+gO31bV
ITGB2/o09VQZQbekacSmRyv21P+VgG7JlDeXAWSU1qh+eyqVQSwK5eZixued6SRXhIC/jUcDswUU
sp0YsWKCQSmy5qSpLNb77lDXx9MvoBL/F34eO+s5IRtCr75YQEClzel5POIePpSBTagDMJSiwFoT
CR+wBb3ESEzZeLnxrrFXhdKFw2NudrIpHMqcPQXl1vH0SwIwKMn7wBnIlZKQlytzBJu83+5nERus
0nE5PVtrjREQmynIX7gV/Qst8WhXjn/1dfHdhQAcP9mKwtBDpQUFvnoi/yPwXtEZztdtSLCZEFNY
gM+W194aQP9a2ahAq9fGywQs0nqKGI3Z9CJ8GodOZhDrsP5PVjYjDXx8kqaq9usU2N1kJOjsxi45
hVO5x3luXOJev35bbH9MKf3e9tAAav/GE72X1iSnd/kenZCeYEt03rf626YsZTzPL8n52l8Y2NME
yLfr3mv61cJxig6e9IafBS79BLNsn6mFyXnU3WaajqZE27FFGf9sxGUgHIHyTjKyf2/DAjMShDbr
JEfnu/9S1Inq6nZqhybWZOAQVjyVoLOCohCJIto2woIIP6hOeCQmc6lUXTeWBw9SRfOZLrpcqA4o
VEBtBfenmySUNpQeznHLW71KEWtz87vtFh0Yo8W5WwgFMI+4uj3SRsTg72MgiRmHhyfN0IGIeXga
yO2TBneyRKlzCEEbPW7l4he1AI+oQVkBncj/Dem9WIWTxGvgX46m9BD1m+xuT9H24fnuc4WJgIEF
CmOj84kbm+tYu1Q2L/fGqR7cAE7EC0oXthpclZoqza15mBx170vaLRU8eZTm2ahVGa8PXIwUGXXX
FfMLml+0UYew89Ht9UDz7fxqm9z+r7cDuUOAwnrJrka7Px/nUWRy/w4VYKU9puCC0E6TS+Mjsopj
GI0vo3LXeyMO6X0bGs43xyiYEmbQjSjB3EQYYUKg0q2G/O8OBQJJlHt3xDOkgP0KD8t5VLrmZzFO
ohRJuA9rslPJ0O/ExF5W+WCVlK03VUGjEFyAf7gkxr5e0ci8EpT5MCUpCzUjS08UUw4/NFz0C+5F
/HrwXn7iHLT7OtZ7XyKNg68jONYIXDHTgssfLj2Lyeh6GaEb770byTkYLXg0PmiBdo9dEQo3wHBB
rs7PMuypF5O+RIvKDn/RC2Aoykp4LJwKrO5e/1Z+QikCmkpCsv7qETD7yV0nzqK6csnW1Aew78Sw
hM+dj/GXlctDJB332b6iqDX0jOSzteL2DUD9pVd/LBwigqi5DK4Wk4aJAysbZL/uMDK2RDn+8h9M
zF6E2jiNmCkNdNic60FXku+rg/VWGm/A8yBsAuLJcRMknwAcx+VKXfBlXQJdkacQCbkl1unXAC3O
gA2hsnPXg0b3iMS9uZV+1pDiVX0HeHga9WBO9JgoXkcM8IOLseBviulq5fJ99Ka6w2uGvE5nbCIS
rpRNq26vvl6RA/DorpG5cM6PnqbqYU2HUf397v5hWGCXT241sMDWCsx0adVy2ZhAsPMsFOXj/81B
w09JkwUs4yUFN9i+3ZzS1hHzESwojwXuLrRtg59lek7yR2Z9epAq+OyHr43roN0YyxGWqbefh8s1
USe8cu/0EIxwnVfAXs1HcoA62WG4lWaVE/fmW6mcbNLvORX1o3lNRERNka6VI5Ik2xzVgbGuTMT7
NcDkQQOTYpL5Ihf/qEMQzXTHLtTc+kL0S9/2GgDlsBOzWKH5VG2oPKP15R8PGs/Zi3DrjIIZ0/4D
5fvyRbzS/VOkeg7wvnklL20lkcVGYU6uut4YIMHT7XGNXxN852qFxf/jsSgKtvKcDhiQho/uo9GP
630+qhvYOgedfKN+cJ6dH1jM6E+OJmWsJmiJPRaTLZ8cu4bHMRrKXk0FSx0M8G7jz5yF/Z8UlTtm
viq8/BRuZtpmjHo837mA61/CIZ7S9730QEcHvkOvHzAEtKzZHyNjSv2L6k+kw6dtjZGjZZYaviS7
XvToGoAP0+LOdJxoslVKZ4TPttm7+PTGxi4Cc/DSl7ydliS0cVhv90wmndKYs4h8zpGGMi2sUMvG
BhMNtg1LIvug6HqesHr8BBq8eNDn6aLwaX/+E3xQA56o5zGFQf/8Ee85ZgrGAvt/4VDO3E0dX0Ym
9Gi3XI1/Clyo0BOVxYLX1fwZ21cvVrteECbsriBdngGdpDDxcT7+KyOLDZCjYbTn8tdLLjBeNgSO
HqbC4S+amn++a7vMgpQkLeuCMqimJl6dMO+6akXb7rgV7OQwBo+rhhK5T7NVNriPsPmBBQBj4X8p
TcFaGClmh5BZDt+gIitNskO4qwWog6a+kk/i4i80mCh8rkDMVlNmBv7sX8Yo2OH51hmjHjnb5w8N
81EBYINW6iNcLZ2jnqJLSFUvnr2FBG+JaIzRYekRMKgt1GPoUcC50CnXqpFrqITzLJ4UgPliZ0bN
fbLV++aUleJUryXqmu7Uhp4xSSjDyVNhJuQajxwvPi3lsN0tKDoSm+hWYZpAW6qf37iUYji9cGHB
Td+i4OsTJU1ZVlpHx7T9LCtyLTyUF89IlkVJrVfULJ1PwrF/N7L50ZYpvsoGYXG6Cbs/HerXzTv4
Ht5A2MBSbF6qKB2Ky+rsVHw9lJBl5AKH3sXjxqdFviYHIHQPI3E1uIDipjZf4fjFmZA5388sc3T0
E1IgaWb0B2+bBTomXjePKXcn5GnUWDklm8a8F9ZTEh5itbwbAnJSdho6pyo4tTRFtf/+jSPyG2iY
WIi29tM9fluPi9xXnc7LVsvAKjtPOD8Js4CzdrortE171RURuSvftS11V/3wNetsBLJGcGqBTfqG
euvv1FFmC6CQ3/LG5qm0iBAGIlUS2V5WiSZyBF8Skgtnk+s6BE9bqbIJdCK3bK6ZEp1DgzfXboo8
v5V4q4a2eHPTyZhmtVrhbFeX4Y6FIIHYcisGHf/h0RkmA4is6na7Ua+CXbZjhHE/GQjzzkwSweWz
Q7mHPPcki7AvIv3dzDlUYWghk0qgbFoXj12tBDOCSkdFheNeYzTQmLfWCBUEu/AEkUF4HIP9aavI
Y3dsBRsboPJG01KvfXACIImAXcfeXgPjeoJJWbQCHKpqi29jddsIbzuPxdaEb1oSquwo/6AqifwM
LBreI5KL8F7dJgHAK8jrBvYC66XuY2u5rK8/kc9XoBaRtvKUxJz4y96boF0CKi187B3jlizLutts
I8MQaOxEtspEmr1PSwdcqr0u7wu8qU/70qP4s/ANL9q8+MPRF0IqxZElITh0uG6U0ue5rjkvKRAc
PMJ5Kqmr5ipicWvSZhliybtkYF9lby++Cs7ebRpyJGlzRI9nIzelD2Ov6mURwetx67mKR1AyiocK
4Z/X1uVyWMQY+jNGHchYWxjxsPxHQXl+PW1JKGX9K3MpfgVH697YjhiB8+/W7VfHmORNf983JI/y
cOESVcVf3wpKHH1su0MR5vUEa4OP9tUcpXb8WGJESj0rnsZ3t57Q5kJOvzOKTvQ1LW9QwK9cE01j
ZgatBPWxRfXMV2ctWFWNw6UH4el+nb6nJOep+q6OaAthskmxBWwEWRmcsNtYlaoJURvi6X1bCWiQ
36gY9y1QobM50MU73v7D88AhJ2A1ptsoPj4JbCaOZ+hvKjM8SXpTebs+8a3hdExhrh/rZfMbJ7Jo
DzZEPtOQrhe71+QelQ622suIuP0N0U1t8I576WWe6j7wGsnav23ETHxCR/9/9Ssea/6bIGqxWlhB
ZIcOpEWnEsBwY01CdZspuJKU5NeR89304gO+Zbc/Bb9kQP9fieXeIh7x2eXQrKj0g6Bsatg3YBaQ
PUT7v/Ris/Iy+soaFmaMgcPENc88KsHp+OGXwdviJCwFzMy5QzPZKM1ygFKG2ndwOIATvCmaNoro
wVb8GVIG6hM68O7mUa46V7k0k/Lj4EzFOqeTx6IRcuhdeq+YxrxhC5r6CwHsnJWA36Z03rSE2TyC
gUkdN/TB+pQ1lGdgY6NC4JB9FHaTrxWJBrpLrMFlVE7h8DggYLykH9VWbmxDGu1+pSi3mTMDqknh
5PuiLpv7aQQWyvoV87Vz3XPACkTTyX1sS6cRz2jWhEPfOgAVRUKqQa0d56uZy88zhbbcF2wd6zRT
EDtspO9zC5ksb42htZnhMouCfUqSRNcI62RzeLEv74zshkfUYlYHjhHblhhRO/9gDrky2Jz9Bio9
Uti8pqIYR5YYJueKPEzE2awhramIgk+cxhpjCIwusEFLj0LBsH+ayGCG/UDFN3VS5N7QmI12t6Fl
Umj89PEK4kfmbdMqHgt6iR+0HSlQMgf0/iWR6HXwbwmdVRGDgqIPaYf65O8EcqNkvUA2sNad5Nn0
SgNt+88VNqfLb8Iuf+9c9mdd4ibYJMaONtjOPLWgaV8GlFJzyC8xMWh6m3ZGf9E5i7NN/nIaPhm9
EE7CojL3naQuVP8cBc9dv0UsJVClU77HYJmm6MdGh/Hng8B2dkS53y7gTEKSAmOWyoJiaQujE1W2
vC9b+kY851JuSN0DE9eH5nCfZQh+zolRQlCC623NkvoeUT8OlONy1PqK4mjmax0BUDNIq9aR1WG5
Eq+RUWz03Mtx2PQNGt53UKNv+VHiH8na2bDajnxklQ5jmus65qnzRDBoyLxJUPMc/QiMXOZmSMrd
oF1Uek7+KK7j2RB67Z7/A7FYt4mLRt3TUQFoJGr/hCF9+iRv0O20fkBcRL/h2+5XW/F9w0sSpuyH
mc5mscpGp+Dok6zjQPjXGJh1KslN1LoLuFttR11iZk6e6FtQadIe58FE8CdvbV/BkPGULTkGwZYk
5SKQ+/P0YQ6979i45syfC/W/WqU3YbEMKOb7erJm0TsKAIXqNK0hbjeppq5lxotcLcbRPenKvvDn
eve1tZXMEL+tIWCRYtjeU6MTl0ankEN+/kYhszxTXUIEiW1ecHDjDD/q/aTQ7eeQPi2l3z/p9fFT
VdNUxnQHgai7EQQKJ9rISkv0LZctjKzM1GhD6N6dUCKoBYqQWBJ9Tt9+RKIgZsmPBaV46Pfopdl0
obXdtiYNrDu9bn2xQtozGfVLk0QnsZ4DRFnV3wjQemzg2EFPZ16QMU9Orz1Tr7TfUHEk6HzM43A6
VfWGMaH+6sP/v1Ngk5KXww1XBzYG5UBd+t5+oqUGbrq4RaOjfk6iWUqD/L0Rro13k6612Z0yTb7n
ESgBvEbBZz6ilbFcFeyZgZVsqqjWgZpd/CTNzVzPNzQSqnn1HNPCwfCA9JtaQ7kGaFI0yebFC+yx
eHLA0cAfnIh69u5asZt5OAeHJMnlngzsLXvZq1jCVayN1srREc6b7uFdtaQ2tI4fOELd35K9MNrA
KwnOA+ZIJArdSPTFuLXaaaP2Q8smN55dXKnHhVs0Hn9tg3CCXHc7tHxVAu2PWHxGvLbOMOzQTwW9
VhGTP72vPSpuegEsqGQlpPqQnh4IbkB36jNQRhGZ4HnrzVNEkDnjoRvb2n75n+8oWxsQ6qqZVsie
KceLjxFznzugpwnrUe9QvWEkMx6iy9TeuSzaVdkq/xzBCYxq916xT9N8QG4dChalE+8ZgiTA0e62
XJ+X2wxgNpMbPPxrnsUoB/Fep9ZPehuuJO9L2/acYJPha1Qh35t461D1VqjpTwWkQWSPGhdsT7Bm
3eiMFNZtrLuqZIJ8gNlE/ZVD6Pbb2fsuFf6rVsRyDx4jk3LLrIxlkzX0s00wc8s7sTGjRmLnjvtZ
WvSL7jY7PB6mjbhxTTG6PzYaKQhMxO2a96NtuMOXUSMJSkXsDQGy8dIMFk45wNHReis49/25+HCb
f/NelqLehfCiu4SHZ3tk91KRyZtuNOCYfb2gKc/2JRzUzf2nDCIEisg0AgG5zmgrd4z5KCWKLkm8
iEE6tHuVxpL0nt0bhYgqv5j+qK2aglYw7G/TdEMOXXGDZo+HIKJZ0zcahASWQ59KA5TjMmUKV/qB
ewTkkqEU22zeLftA8MlKZVQhur+jM8lk3ELJX9gleCe5Bc2c5R5fl24WOPrKEnMTv/w0uaqprlR/
NZd4zNCzY+R3qovw7HuwKH3xkWIHkDBaV1F6ji29yF+s1wKdGIhvq/EQtBsr3nCjS8Tmf9H70ZfG
TA8mlePz83GdA+vlMuvMFcjjVEZWJsdd/ILpl6eXZkBqZ5L8Dy81bwYcd80OsYevFb/mgB/+2zf6
zIL3P0PoK+TWtmL4micl8fEM4UJdbUzawWAiWAE/gVzZpcwmLP8PJS0/X7oDYAKxZiw7adPtsSkR
Prfw8y6TU2aQahf5x9ajwHDRhmdM6BMFd+vj2Uz0wjXa+EJwCvi4LLihLCprQZOdnqTTLTJ6+lR+
CV6cs+9OF7KfEcX4pYX/VtDGaB7YyXZNUMJj/cZLjJMaTYNMCdSqzxMMD407LLUWL99jdxBKEuMR
HHCphiVJ6vTwYQqQNyOnWDOi3194r04IBg+wpzN8UhyPUw6JhBn+n4kkJkAt4owUFIDsYDFmIU2u
3+vFHvFlVaoGbC5/3lubEqI8ll2fI3O7tbNoxEYa1g3m5F7244ABNxg90hwSaZ350Q4N46UZPX2z
m2P16Y464mIMIDrzEcxBPMfTWvAGvFNC+Szkk0R5cY7ToZxN6XwuLnuacMIS2qUBZx/3nG9h9mB4
h6Axzx+VhTduP+Gzs3zydJQx6h/jxglE7/cqszrn/DVYP4X0ZnYOUQoHc/klivYOsRFUy9s/gUfw
oLMokjmh4t0rJwp561gvbAs5CPwJZy36k25c8BXFaN3GFuSp1qNz+uhXXuAUqDPMxgsqyX4zHRmo
hwEpDw+s9nNvUnG6JpeXVGraVEXMSfLeE1h6k/UWa40c7vvjbjd1Lynjo0MVX4WfNr8ss84kAE1i
O1Sz5R/Q6HNraRUO2J3oP7oCU1o5lcT1ZC0f7iYU7oYDvNcMWDZeCnjKk7sajy9V/3W8/pwv4IUf
JcXPZ3hvVSRctR+r7iOX275LmhB8D31bctmFkTTwuHJGN85XoGulO4fchyX18DOIKorzm4LMC+c1
rt33OrCC+iaefvRZ4a9mEUpLsEEX2H2gctxRj8ALLOZhJtH2gKNxYnKVZ2iSXAZR57Qfv+L1xaS7
hnD+1DWJQmUfbREJHOiaK2Bh9r6R3/r1nLolBTGVfSpptCpLrU3unXXBfSCsyN5kyd0zJhGftdr1
RV1kASJRVWDPZlkU8+UmAeP3RjG6BDk6HApn0T9kAry59B5r/70U9jfNSdAaPxowJkOk5D6IxMM/
ZnGB92BaSgeavIFdpdRaGx8SikFqXSE7jiWe/huXSrnLycJW6r4RCN/+HjvKkp/zlsJm5447iZBh
V3jpNZCvn2ZOjFO+sxqJ1hKY9xKcToT9SifPgvAeWW+mgxesmtetiTLG75H97rkn27cRK6Kvd1vf
2idvRYkj2UHe3r1nIOxkZ6/Gjcpb6T+1AQIJ6N37bqx73yeUxkdjiO52/aGtBPwYF8LoCA3tcPj+
bAlL39nYlegWNTwFduC/VY+ZsSaN1y/9L1b/67FSop8bTDhwGppnjIvZKntRJSCzRpJ3QT8G8E80
MwJAt+ki6yQzy4CKQcHRlNs6AIvCfDf0a+iqCxkEJA+qVNiASLsVpw9sX6FhmaVDy0Qaqvyez7S8
cmKin2RE5uJNuqGJaVoOXYNUTWpZqWDfMP69aeqwsj3C0ZKEMyFyvXJsJjcL++F+yC/ACuYoWHnD
uD/+F5eU6ZYp/5Njwi5EffG17j5YkYPod7pG4kvl/MRvq2E/Lj3nvMz1xwl4GQ31iSaQatxxNXjZ
q5Xh478fsB6k0gJm3pzDR+B1+wN3vCITLMrIjSJZeZbACNd1bcHJNWjrzzMLYg3Dq+hi7xPNLcA7
5b60Xwlt2OLFADcYSdHpl//FWFbDSq/gHPPEl2jeMWM1moJ+1g7qCh1vK37XCBTlHGXhZtArujTz
1JCUk+qJiJgiF001apv5hvMwFjhBTgkpCdQJpeKF7hzQ5eC1xJH1v8PEQd0jKidCJL9VoQpc42OR
k09bOrQ8sir528Hetzts0N63OgZa8PDoBOTiQQSbRpvDxTBCKIndPFnG8XVLWUNuF+Z05NO+BYRR
9dU2IHVTVC5m2bpveQdYjUIZAkyU739jRDZBqcyXDdARM0dtv1X/S5YD2jLlfnV2S6W+xx+h20q0
bD6aYRusgP6SIZlazZbFTk/PpUH3BLrSc1KyuxqEJe5gb5YqwewCBra78zVIQd8mmwdDiWp4MuBP
+9WMiQ3RafijGC/WSCvIPtZXhi/tCMyxbYadZ9pOIU02ZjVj3naO9MlVBw1K+7g3muxuyDWjBvEq
4NXTYXcveQcKa+nPXOcB56F7wDf8yh1dIPTXEMWV6UN3oWQW5Ky34/1N1NWNND1YXANwGye+DhVE
bmFiJtKWq5+svpPXWRj1ISK3hGNR/oXoPTJOHiDMkqCcEbzKN2RrlZ6ADvzxyuL63kDFdNOQQGwD
eOg50/pNKajyVvW+Jib9coGlIXjtILPe9VsM/mjvNkL0OqkigTHEZIAyzZZMIXCEqd7LAMtT0Ai0
rfMlhIubCxEINxDxmwBPW7MJ+2QT5ovsqsGMz4ouCAfQG2HhfmuqJC5/6oh3vrDk72+VCNu/0FlF
n1udHrTCOEwBng7kJAz76XrNP5ycycDQMesThj/EPvCttq8kI9XPRP60M55p7bz2PsaT5gb6bSWL
z7xEP9QgTbgzAy8Nh6YV0ffqvrVrKMOYzHhIA4zyAj+qMHHyf4Ssh4EBWu2RsBUbXXEesOXCMr+q
SQcknjOBI68uV7hkvxLej/7Om1CHeayChW2rp8U+zaDOlxPg3AKAu7mj6FQ4hPaYB/4pBictpd7Y
AEEQqKiQ8tfIg7OT/Oc75N8+fa/4cH+4Zc70gxXSgwBBBRZTdhBhOHyL55P3fka1S0BsNcRIEfej
kYvyOKOzSI78tcNDBImlg2JpCJfzLDchyuHXvzh/9SiNPBkMXbWdrSzDZtHH3mSi+n3vtbtCLHo4
8hs2Ze+1wcd/hzmpG1dVvB4cfz4cbNg1FgryHpkc10xHqanIa2sIDaD7+qBDbqFwQvas4KGL/TKA
/i7kQb/omCD0hSUXvhz2I1bVyOPdC8ceW/8FiYKug9Bgqej2TXn3wcQAAm95wbSqMGiFvDiMGicG
4HG3upW/RY+ftuKTX9hchYOOU4b9UvAhs2HNv/h2jATDI4a5DTD84+P41ionqcIZPBWODxfDKR3n
JxHvYMo3kwfWobcF1iKkkxJbUfzyNJLYNE7g4LdNrk/CQ/g0t21QpTWPT2UaZGlz+J/ij9ciCbZJ
jKN6Y1KOSAta53N83ot/+P9eBwz5sqA5b5SGvS+78Q3pb6Ga30EoCWzy4367UXRyZe5IldkVWVOZ
PhYO4iW1oOQdndzyqBSh7AV2O90erW/aEqWA194FEprzffTUN5oKow+zjjaPXNAGSDuX+jJ44JQ7
oH9lah7lY79o+NUoP3QOI9HiEo9fEeowgeD3lS2mlMKRGrUJ/W5VIL7xfSBEK36Fe6aL3AelWOnd
4hwO/Tti2nqRGHJqrn9zJo5eSwNkLk8vLvnzYh0Ui75fscLqr4hNpG/7xh7KxHz+86/1A6NJZYUk
pr2etNxBofgvzuH0KxdLU0R7etzFmj9rVq1QcUI/sElLRecj1e/Rjs1zBNFLKaHXF6em+xTpBqlx
g9VisPjW+Sq6OSRQq8aJjk+fkCT1mwMbwWRN3BV0xN8+n7ZKtx9Pjg4xwpqNCSObFk65vOFe9DEu
npQVnK3ddiFK+eUOn5zhc+Tkh9jp2EIF5C7263yUM8iytT662x4dpXYfA8kMimWkB07trj9L/AvD
XV0eEnas09Z/R0mGd5G+CdZEaM/f87UvVzlF+ZXqrp1X04fyGDrMaAFDQ6FePKRsuRrlRLUNPWaO
aAgLdwkz4Z5L87fUFGvoK4YpE7nK5FDn9ZAvsxEMqP7SfdpBgyO569hxE04eBB2g9peDdERdD5mr
p/S9lvt/H4TDq+HQxCfug5WdXlOc8OIB/APwfYOv9d1THF5kcc6pg/4iRAwvep5+XF3V7XgHTm65
+bBPEuhRnatGJ7aw7HefguhOUWUn+q1iO8oL4Sidy3NgETHvXLM0HEe+H/cBTyl3m4dczF3dc5qp
tauiNgIhIVZTIALMp82a5Yu7leK/yyhUvssz11veT+PWaro8vKW4NUHLHHGpYie1GKsP/Sap5b6k
iSRg+FXs4fuYKfFNLdARUPv1pwo1FPhD0jcwVdCBqSXKDV8hDgIxfkxmnkIO/Wtv4fufk97C1f7l
doqPX9rgqxjpNORZtqCsxkUVF7+qbi1Tfz/BOWLumlOfi7jljAEnLf8j/Lps/PweaEZyXVSAs8On
PvUhFsJiTwAq4JCytYQJpn+KLjLd6ZZMWUzWdn71px4SJsuq+TEGhOshiqJzio0D2k0OA6D4BRik
p38YIuE5WWpmc1PqCFxDYiU6JxKQy6v0VFPUAXRpFGeMijJKF8LT7TyIj1qHo+O2WKCYLyjX6QxZ
SjCRNHQIl4UB1jJ+LxXGp6KjZMWER16Q/agq1Y+kEjPlEi/zeDJMh0YQbmH/EXB8rchnPMeFHH/A
0lVBzLelLqncMeC17snzXPnzaILzB/z26l5ibty17cJnsjLQZKKvggVs4YLXZITsYs2cT2ezLeHG
LAOHEBD/cziY2vsFA5CzQSw9sDF/qaKEDC8XM1mUpL3SjbseJ3UqI87MT2vZPJpXwUrv4Pa2+AYR
sOGUDdjS6fGlS1Y5Pik8ilM1k6NkQJ63Q4DiM17Jxbth/I9JLgJEfOQU2XmCDKT3V7qdmR3nqJVi
Y8lF91c2EwUsBE3rL++2OzYGxlmHng5t1Mu21uQFaSq/n+ShkWuQ81CpNY5QfI0R81sM3ezbsmBs
8LhHCt5pRBu00lSEFDYYu4VykHV0z73sDfGyespMNc1RhC6B1mxoYtsWNaWHcQju099MBGBiL0LB
F0K80FDQUlSERKkpj21fduqJHEO4SivThQyjc3ehgk0Yyv+T6xl+Wr5rKgOADkHiAmBz5v5Hl70j
T3Rru/QsBzYMybrAA5R7czfgELk9V7BEpoXs0qpAE8TgVVHQibG3tto3hQryadgFRvUKw1e9bkh8
E4mTGGvC8BGC6nXV5u7rqQzFAZlcSknXg+958hgFwL1dYxzJ44/MbVNKscy5UqwN4Yz4F8N8K6mb
phYelvt3sSFOyd8A8Np3fLHfUeuJGNrBKjrHTKxDWTOOO20jsHHz0qsTDBd3zwdctob738NXbweo
kreVAApPyS6LlxuSPTbo9kCTlOgdext96fFi01+Ug53uQnJi7BAAThKwFbfO7OsBm4MD4EhkrPdt
dwpGYZmjDkrW66p38/wHBykSzoKEOktuoG9xnIMEAXLnVwp8TsumxZaUwRJnp9XxDssTfj1USdxd
fPj0bCfFMI3B1OeBc5ADFiogli4xVbkuOPU8aXDi7zYvJJBtDA0qPRx5uiUBt+jMjjoex4ilPFCF
hLhCC9qGm/SaA89uvQdBBd5sdCknC0FMdogQYPg/MI2HfGjaPNA/GqQFVRZ8kvlHVBEdf69VYOCj
8b3FzPYc/f1aFxZ7KkGB6frFJ3WOAThZqjfME5Tt2A/xyTWuR1qX3wCLKxEToBkVqpBjFmgcchzc
J0Zuch6xVdT8mubt/Hx34Z1TDG7l8KarW09NAh8wxuwIkO48zZG4fHM35phC1vhrWCYUWGf4+0Gs
FqCJED6L4p2WF9d8MEudvqrqJsr2925NB/kcyczkgf7R0Oj3O80ha5q0MaTU5g/sg5XuX5kaSH2L
oEZqbrUpep+utd+1SVpog1xigXWV6xhzVpufEVFOtIXrA7h8m+fwQ2siLEceYOXGt92tYeNZZqGZ
F1CEUvTqPAEXV0zO9cPaHlFoTMdCvMd8fCrThQF+mySiYV6io7NI6LyxZSQa5Y0LeqRR2zfz/D4j
GNgzNOTluBLqtzlfxizmsF3GOYZxeeRcP3ToNzQK+cRmYoBO8eSrSvMF+gQmlS7o49woKgIsAyMi
9SfwcVi/SmAfk3+T+TGoakgmTROyhmKb3XsMO109c1F8G5vqGzzLDsZ8UctTt1rGh4oWxIlsksnb
pF/9FryYadmGJs1d6bq81CuoZAl/vwP6k4M/UXPfM3s18Y+sw9m1vS7JtUTC2FHWuASkRdmmfjPq
mvI48x5mBtDKE306cjfzFO99Y5f8xMdvmBF1scvE62No7lD2rGQTKwWgp8mhUfViNQ19BXVJGeYn
+id4Y4RTuzPqXUvYlZMADkJie9pCqtNoGKEwi/FoCc8HEu6Ew2TJ7+XFQ6/KG09ANDradmqrkXwr
FYmxP7E3hmz6ALfOuYErEM2xy/JUzodLbZwKURm/WoPH0b3tScvef+KXVHKrE8Nk1Db0CyrMyZqT
Zeb1calFivaERGyqfzCZHqcXWbaADLvr4ZrVbZ4MyhOvTitabYjR7x4Om6ytZXpxWL+9DjNguKPy
k59i/Yc1pLSfDNFLX9254ZnPkIvSdPCpkuH2YXAjZb1/7XN76n12QQtlytcn65LCtNQrl95V593f
6KQcR5EEDJFDqrXKYOwlg7XrxaQbfIXYGrKRsy9QhtcKs4S1w47HDkb/obbRkuFHSPgi317dZVs/
jv39IcT89CxR/LmFaCrhoyKbRwzXCjmwz1QnvgicXdSO6vE8fK1Va/Tdtf3vNpmiREUyinQajjAC
W5QfgGLU00d5eG1K/NoAuBugPVV3ktYm27nIBNENE/+/HahYO9qLNc4PD8B9+ze20NAWUmxdiiQ+
8unXt+MNMw52JsZ3Mm1Izq22hFrBUlbBJxxUxHdHHiKCwZBlH+82CLRUptZFj5pknJvkgV4Smc5U
uVMO0di4fnsA7iJNw9lNd5sgq5ajmrSeLBHJkUmUabq2zB2FSf8psuLRrdO7YURmzQjzbS7z7Rzr
3vnJj4xvjRI4bCpNlU5yScGsa3CDZpqGB0CTb/JelNv8959taMYPQ3MuswRuxwvJBImzT08PEiu9
nLmMazyz+N3t9AfXCGgj02vMXqIHCngYZ46USMPXRek7lRXzH09azzxk6jffWps+/jb0HmX5DtRQ
00B2YzjL2wk+lzRaNNKJH8SXTsIc6iunjsINSjG3/afP4FSDKBkzko3SFfuzW7Is1wXDELnAryEB
EFuMCyBpjEp1hopbzZFF2mizPiyhLiRXccjbAgKJ/sC5m9SxQMobaHsg6NU5lsRPCytCTsIXdtnz
VcVQ4xYCX9CwOxkK94zHsBtwnww/m03A+P7CMOXc1L2WPNpboRazxu5bp6UpxF20IqFLixiqRsE2
hYBG8ssNXzQhruLE3aCQpn5oaML6h7NxB13+xQiAvazeVgGyVm/HMvebEAnA56tmZw/s7MSnEj/G
asA1NNWTW4nWsWKPrlcvsHNIDcREu0iser2N6rMpCSvW7Sxp44a+h4nIcre6sr25hjKEoGWUt3NO
NJrjpxRfd5jDVlhIgEWyhtd78M8j+ZTKgiqLPFOsVcil1iggQ0aB4sQ2htEDOmHdcNr/F6FM8J5i
5k8Mt9BGs10nh/CQEse8Mv6n86bFo4K2JsPRo6u9/nCTSFD21Gv6ppSMmHskZwprKusn4T7zEbWk
AJ8mxDwcTvy8S7CNEfwsBNoIEPQAn0Fg+UbbIedPs0HxWM/y6iOObdBAry72Omlpa16vWUhcYkTn
njcYCSXej/vY0KdeGNcFPjaiuoYeBBNQPgWQn1x3/oPyvTe/3XQTeCxafn+aVQ8eAa1F4NroaO5s
NCbnlpsO8cmOYe+qsSh3QxudvtzW5fS+z7znSrbCvNhEqZOr9Pa2GlqKLn3jMJtMCqoucZD8vaq1
tu1wgPwspwNLjlD3aToDQt5HmyNH0yPv1wkmpzg8TayDESzAbVwgMhb3FvFXC2bSrybZ4inwU6PJ
q4tOYKmfSK7oa4ofxT1CHH/GC1gKbIy6mFaqnLnn9Ms3Sv2qC/ZUSlETg1HFgB9MWs3oh6lRjap7
BKTs5nivAl9Mrs+/soiEggBeaHi2zUb3Bidke22WUnlFwtXFEy+78nt2qQcCE1GyYjCgLxU9MQhf
8eHriaXt5xx48aOLOMRiUm7b6BPRA3/P+gm9crU2pLogX3m0OSKgPdaUK0BeITLKBiKEWV6eXil1
dR44VyKWdhCvgV82Sr6aJFa/4X/oLU6U6gfdDURmNt9zOSSQfP3+F4T2tq8Ag/1WBiDMJ01IfTIi
1Jw0fl9rFiNLYeu5KN6tQFFPrbpbjUXe2eba1UZHujDMtVwzTP5zci+n7rdAtoLEn/nh6/OJStTB
gvQ7u0EMPVoN4SzlEUr9B2AH0FvFEv/VPwWK3Q5P/YKcYsaleDsjs0E72osDbTZPn/eZGi7QlTYP
1GNYAww3gcVlVR0e+Ec6GSYpATBouaqNUHvELvmJddZQu56ZbDKV55FKJsG7YMUytrkctS3n5jR2
OL+Uxv/j6MusZREB2AVCuHoJkzC/k4zK8xJ1JTQFZulknOTBYiuU4CR++k15er0EZPivvQ/nJNBr
OouStBsMJCzv81aShKCUZnoO9puCLFEcrlkIXyPJ7l4m3OQdQ6TCoq9/PTWFRkwtFK7potSqgr/G
jICy2vx7G9G8yMRhdl4cAy/8/H/RrlXkF9dtF/p/mHn4i+nrEoR6RKutWsLo2fqxK9KacxdIUDjC
PA00V4+gRzCDrCL939vvK0h/6tRQq5t9H1x0ntsTWeJODpmgIl8lN6ekFHGHBJPKY5Vq6/dRrGPx
91IjuAU4gq372VT7WhaEpqQkrDxfmXiPAp+WZQMxULxcL1dg45fxRwTqmfd0u0OWL0cwYrcMg6Z0
bRFYnUDJVLVncVWwLl1RZCXQUvfXtvYhhNqdTKYGP1oBd5rUA9VcjbYhKbnS+Zlom3ChwweiOxMH
n7Avzet01rPfCnsqRo7SpYR5zkTyerBOPY1PXYXGPNFM9i+P5yQBbHnDVPXUG8Dq/9iQblpQMIMP
LRBudoULAYyOEziOi7FODiUgKxwqz8LWR9JsWxQI62XThDBD34HERbeTbeeLhd67XFpAJzXPJ1ox
GutadVQlV9B8pqEErWWsiszuageH1sW6g70eHWW9xok4l4/oiEtcyHazIUqYotau4Y1V/QcAchGX
aYD35W0/zs54ub/2DCO11DyoChRsuqCNO37wq/2+kdhaaP+HqAEvUFEkJ1RHLagG3mdFkOrxEu+C
LP0SBoxoau7l7SChdBriPv9A8amOBhynyACuSAWNFrFd04+toJHFZ39fEM/nIlTvdfXJ0sEWAoY2
5lEH9ChCzOcH7PWI8049SWpO0mKqk/Xnt2Rd4W9SBM71OMoVbu1OHVkrlrPakUFYe5HzNb8IkvUX
79ClYHO42nuWEou4Mx2bJlvesMOATublvPDVqWaJB+Ye6rfq1yrW32+33+VKSi1b3rm8u8kFTkOx
GF776LlBniWV4KpJzDhqODno/AJ6VD2SP0omDmNzTqYUEOEM7tHCiZvtIJWsWmhL7922MdZRodXP
AhsYidEP1PEIz7emgsb8Ef2C1gD6z86irg4olrSwCEv+/+PdoPdEQtCQWvLGdtdtjOZWEiJ2YbG5
I7kBe8DEn57o1iPe9uRMXVsnzqF7Vh5X84Y0zQqMWEjiu1d1qsupHCqwQ6Gz6SJsZ5SxWidw8Vip
hqUHzk6AiyXJk36KiWPxu8M5b5RqnYnGZWNK6Ydpcsc1OcDp5AkovPEnKczYxM3SwYhIuksY991F
iKoXm5F1kUA5lN2sR2bD5Vdhy7nwT8d0jzZ2cQCYVjhqK8VpbHntVFCjslq8f7A0jCDr8WewtfzJ
ErrNj+Qjvu0PoBwT3eTM5MmbKQEJkeW8s2QN6XVggS0fclMs6XI/pXSlXTZ/bHzLmuadNnAzcjr7
LtM+bolPcXbRZBXtwVy5VNPvuW/4QJvu9ypwD73SeOnC5A8CbZkK09BiU5/htR0ea+VJFjLM/4B5
2YEBKvXyk80R5/IBWczCFD7aH9zIixnx7ybvOJZHFeStwCYWOZMNPVpMGe2Z2AWrcW58TkOttjrY
oO/anM6XHHm8DO893ensn+EZGYCybpeKTYKhJQc/IHLpHSAgDTUU0kEABAlocoUhZrz/WueL9B46
uGVEqOe1rly1jVPSaqIAuO67Aen03CtwPP0B4/W6gbdntMCIo6hjngmy0Cu7m3eRZUKD8rpMET29
KSz+6uxdt2NSbTe2IMVxt0W0sHbJ//o1m1rsuny39AxjcqBg9b+ILfd8s3QGMryqIs0oq9ZZKC2O
mRzFgAcXwgQs/IaCEJaoogvPwxNYp327af/PNj3ukRocKOhDxe89bKF2SPK4ZiQuB5tLBstcBd6a
fMMkiSiRmFu81kdjJX3OI+cY9ymsBxMjHE7tCbvpxfOmfeITMSiu2q76QK8p/mEwGCkHWRtYoT9/
Eh1rI+kgwr/HF2N52sRjf9yM+VfQNGKS+9zEiCMUtix0gma4tjKx6iYtzt9TVRTT6iCB08gvwYfw
9CMqdS32hy5x0vCAea0acQSTYF24XILRfy6q1L0UUKW3qmNLHcp+728E7HEJKJ6G5w/UHO5MbfUG
3Is9HpaxOzCej4J3PswLzMK8Ds+GCT2s0ziht+lVdU745RMyZLb82WRmuYsj47r6eBNXE2jCqsqT
ERC4yDHq3J7VLKHKp9iqakqsfCp3pypUo1hJGcbSnYhBXrwRaDNoxRIbH/O+DXbC+9o5AtSZ2Dr7
yxiLCqgOtYwd3qkm5ae8aRpzJsEpcuH2ICFwSqB4OmY/lq6QFt9/0W/1zwmR46ibD4lmeokXN3df
L+TvGa9CGInokgiFkvH9ziNl8Aeo1TBZBG4Z+CCYHYU0cxOh5MK4+xtOSGH/cIrBjtHv8XCHUTog
SMWifnwen7N7ykCNUSjIhGENMhD2rkCktwFALJVElptevnmXtiZqeXV1jXGU370T9EI9mhpeSVFb
yN+MiT35sYaKgnMknk8WVFfMsMrKZ+vchT6QlG2XXPTpADfVJpbqhQc8YsuKo+u8LQ+NaR4CZyjl
2hqwe/nzgl5UfGul07GCNBwu7ZMT03mf1WUTlUOVZgV3mGIgEJA1NNPeWt/1Pv0VleQKg4U0efag
JQgu6CfCTojccQm9KirgM0bU3F4eY3VNPT80i4QjcOc32w4EKAbkCNjXV9f2DSePWta1yHzGYIYc
yeoHewbi5C1oLiW+eM6PRvt9yel0iTnQoCj0cCGe8ARzgS5w5g9ZkBPEBeY5BWQjzbgkBUxe87Yw
+Y1URXiJ1IKcMO5tFI0T+b7Izl899WGVw2iatq0hIUd9ZYR928Bnv6OfY9lbHuzN6msmZiKP4eTY
3eWTFGEB19qQKRXLJ2Gl1oxmIgHnFj6/ySlf/DH1ZxHx32OWHZo/Zg5VosjRAmqe2vfDp5ugS0x3
5FesyKH3S81Biy5CQ2WQXJtssVkpaa0tuYiIW7Dfce9Ihng0taDSQWwWvuHL9Vdb2QmZT8yduyAe
UUuaxmxxxcAzxw0/7OPcu7qL6g/Lu6HI00lO56ssG85zIyfOpAdzvzVLoLLlZZYdffaCAu3DDN2U
2a/9EtZWRunXgLelo2O87MCBTjDPJykNRZguySYEeDidU1F/E2JfJ8lrZjSpR/w80glNuePfAe0m
4ydMCBna6R3/+OTIdog8VlZXMfCwkghzOfFVV3DVRjqvAa9lzQlYKdamNzldlfe6+9A4qN62RRBM
IdEV/uuvL79dFQb0XSQ5vErbSp5t50xgLDbyCMQqDQ6H/hUGeXVw3uY1c8NIijcoEIA0hNyIYJoH
9K6vk6IZJp+oebdVxsuxgN0javS/e7PlsN1b1n7bWWjANy67PNFmA9G8Bu3h+qpFxOg6kT2VJQgn
4Q7bY0+hSzudDgC50apk+7nXD8XIj0ZhBVf+BOdksSK6byw+mvz5VUeMhvarxipyhNHRtGmxtLUG
WFIo54xHc0vh+hfyxHgwHridpQDlrNvYvNiZuLvRa7+foRFUKHIO4R9M3AfmFY7EeIL7YDMCUh6D
ZJC54bHhI4o0EHll6Ecl22fG4IafWZBdd4Bq3Gl4VlPEqrsDo+gvOKf2YdUTpWle9C82Q3JH8qWB
UbKbrEaDsnDnJm5Uy8JVyum0Qa3dYFPpMoQswm/bRWp3A0Xsg0F3AbrjNnXXZcV8dsPmck5yICN3
SpVia+x0SsMT++11YUpYVdzPIvrWo273I8Q7oPS67Naz9hOrfonZGjw4bvSP0yGqWv65tLBeVLxc
R6aTVIrWAlWyBp2UsbWoLf5N36YvewnH7nWzmsETwV6XSZlLBlrMjNb2LPf0QoHWq9sC2SzUJbe3
Nt6SlvCyVcubBT4B8bhtA3gGQsimzreImkBRpQAwdderknzb6fVfxJL/e6c1XbaLrFUfYS3XauXp
1jBReftzqIdatqOiNd05ivko89IBBJHjWY1U5ppOdT6lYsFNdypQ9BsxU+iGmns1ffpFh09OvmwL
uuVapu4rPA2OpXaaMCLGkLoJTn5fZ7t6Uyr1ijnlh0bBqqcxWKkBwCE8ITIKg6bg48RgHQy6VzFO
QQ6WISH3S3XQqZVWsUnhF9GqjXAIMkXguqTM6iQgQWGHahXOi+cWoyVPig+5d1uUzrB268WhWCPE
mgD3ELn7PojSfsQmlLCEGQB+ta753+ogeL3dwwYLhzP+PQm3QOpf/psJy0k60J9WtWubfztKuc+V
DQwHyDM1SQC/0oHyP6UfllkGo5lZE5H6Kt7+vQznwuSq7iZpvhaT9P8HZNwVLV1tiYkCFACh0BjI
ko++06xRcgjiAzcrLvLPrk1k7yTEsj3IXlbmAle/doKzSs88UZZTG5byU/U7RikzApwBZ24WagA4
0/eXlwWSIFk5I0BABTWZwg722SDFE2IyMb4PXH34PhU6hT6liFdsAvK87FOJD7qYJzXtDa0Re+vV
NwGUCuymrz13opmgfPhB002vU8qUTPNEq4cy36zZBAB3Eb6Df8KzR52W9fQ202LgPvEz5LTC8Ffw
/ya4PZ4E8Vmas4o+oGv2cYORJBEoFpEnf86ztN8oWSPWN5qDXYFqNxiys2fJx3aVu9x1D9Njk5mg
XW1qCOO86rWblrGAjFAwdW7d/fNvIR54tCAN2kGpIx4uPTAET9ghLL0YVWRJ+IIA0YWHdxKa4Ja8
273ROfce2t76+HXD9W5+5+uxr6q4pDpHtIiMhKsaKjUYIeXYLFVlczPsUTatH5DqH0Fxwxsdjwvf
jVu49LYW/FbC15ehPdRsXf/UJCGnRkJ3amjm4TOB+UgIgk+uTPKwqEdzEee4N/f+FHKTsnJxXLCc
uhr8SYqU1HGhtycPyVToXIMPf7w6rwl8MW+jbLr505HwIPXcM/SqOhyNQoXx7YnryFJwdzmSzLcY
aWSDGi0e9oKCesTt1w/NDY4QYvoDBFYLG4zprs+UVMTBaJwGNhIDiIa0B8EJCrNOx+3CvNHG4A8i
syvWm3OkuHw5+ogHBhQI3Gr/e7xk25LDlmWmuCZV71r4BM03hFoJTnwgbEUON8n1X9yVFSBaYQvD
yrg2uJKbhEGAMTqrUdYMXdz6Pxkw2H8kZBcjE8z378TrgOU017PfknthC8oPrF73irgxj6M0QTDA
XJjq0Jat09bXTF8xoX+nSGVzbHz0bR8Ex7rpjCqU2hqJ98+45aTl6kP0fvGsqCR8DZVW81SQmtNF
zYhs5puASMOk2CiOcAqUMKrgDhumVzx4jin4u0U37ySnnEih7pqbS3gpWSyIZgIvMwdhSMeQqSBo
uWNNeEwHXeYuMBgSHMDO4ACtMG+QGmqlykpCtqAJJHnQ+eAvBsp7WB0Id9WHl0TXuzh0/7Hh2RMk
SS2ClsWSKHRsGgyCPzOfxqohBINry/euzIE6Vqfy/a7UnEnz+TUZb8jriB4y5Dls9efACaWoamhx
9pAHAfp8h+ZFT75pdOZ9BylfOrcTPYEK7n+XsC/ousSv7ly3sBp61tL2mMtB4Op0oZ+5CRRXmmjR
7ZlXaNWTzP2QlcsLejPC6OWxyBjT/Ukzd7ALBFDoQ3LWYUSZnu4WwhX6HAedzZ0wMo5Ryw/ii6VV
hM+3n/Gr2uw/kiMKHSqKvVqu+oDpTU/P5PCBp6Ol75+mAueZpke3o9IAhUyRnalgzd6Du0nEfb6T
6hdXVWXHnrTq0yuOIk4HDPAzi2g6iGQuPFteRgjsJFXSUBUISDvdrAcFJxpNFMjrRuF1gqc9Z2NC
vyfbmh8zfvRLpqXNxKdmr8x5JaJjCElG9qrMLcGnAzT2HWyuQZ8BNme5WuuhfZkfRgvCEfKhg4Az
aZbJSbLxfqFcPV+FtzmzrlOw3gAnIAoGmomhF4QukoFNAdO/o5s88Igi16MNOC3FVmc+DsmIb2hQ
7ugswxxa7yfx+TAgZs+y/6gylqXJogaGk0YAuAvUE0m1jBDq8ZB1y7UpSmpeDrG5uDcrg78682/J
Oqa8/x35hVTfVRDALoQJzftEYqJaZ0NeT/Dj/VF0SplFbPZBzVwtvlIvA3l2KBzJAYD108LnDFi8
Z8foF3LgJ0FUNQOQS6+csgTUzDqIUkvzrPE7VpGZZvAMR6nu7DNFIn8vlZxtYnx+rPFDAPh3S13H
Bs1zrqXO3X52g/dc7ycV3EuETHX0lkA/UodnFzk886+vpjVRiKkoIRZm37pu0XLwiIPG0cj3k94e
bRyyH/ljCzSZCCnOIL9kekzfw8d6fjZw0afLu6LHt7jT5WNqH4pUrhqoaOJ9DhPiDeFwFXGwjkTM
r/UGaWjYCEtcVM6KzTl9bSqVtjE3ba+MswM+GMS4CvSjLsdMPaItwl75iEmMWLupcRL4j+VTFpzj
azFwbNQGLaW3jLF3uJUz7piyEk/KZ7PCdEmPjXiB+cQ3PSXQySCCrcy1IlT0CgxFVcoUeoZW3PsP
1a8yVGHZQSWZO/rEvJefhfHV3nEdY2XenwjWTkj061hSOerq/RsNwL2hkblXWukUvUoTTCobWLmT
PqYnaUXfKtCBFSorN1QiDi32QmLUw16HrkI2AjFOBiy2KVB2mfC9RDJTIIoTKy8L5na6fWTMjb8S
cAphroPg/0wxW1egC3kENCHFNN1bYQBaneXNtbvJkEreE3MZQmn6nvySey4nkySXxCa3nnpQleb7
biqosFlyCd6mAyK5G4Ys2iZELV+7tdPU9yVLtR3dRDMWMLtLZLwNNoVrNZZgy4BsYNzftu+1L83u
0xa+fvui2v4DjgDuUnmdtH56cXKwdiFq5/7uXIqMzUvzOcojlvD9d8JjvIm43EyfkWr6iZTw2RXG
R7UzYOIOMWzrSgCuCCCFsJLtv8Xr9s3nDf/fXmkoQtxP/PzJzR/N/hd7WGzJV0j6f1ZpoqDcreCG
MpDMd6WDUCHeznUuI+UrLf21WMFAPmZCNeVBulLTFqjNYsFindC9XQEppBS/7C83e5uK5rMV990N
fboSqNtljpa8YoObaCcp7oqCS54mPv9zK5LKSZDXuk2wy4Gq5aTdtIeQe62qNlHLg0yRllIXg3Ej
y1Hd+lCU6hDzO1GHnSDe4ClSym44zSeuWrt0W2ABq/C4BBW2RZ/SMN0DOxSGKUFhUPsGNUMY4/UQ
Bn9ZXPuz3mLnpAn7FD/cttAMnwoLl0UoVwzsdfABSecpaV9dO4i7Dicu32pAMPU6sdmYBfgqY264
XX05qklndEYXo30/XZiLFe28zyQVpngpE7iqdcL9sk0vPg/7A8dyxAipJQK9xF4VAleEF8ApSgyM
Iuad0Fi/sqQJyxy4uA0tej7FFPnwHTq1NucXmvFiLsFtH10tTPlblBKRreaApCkmKk43wMgJjTB8
g/mnRnUtt3g8wNZTahZy7qFbUlTCy52881FPHXVSAHTJxNGduKdXUptx8HxIwCQmOLcElfTcEm6A
yTJq9W/3DFcWPl0SE6GDwRvVxj+9sNZ2AIIaduBn9gedmOEtgwK5Oowv6Yxa0ofAZeKZ7GpSuxc1
yECY+VUqoC3qdskrVBpcWdj0+azjQmdo/i/Ab6w9yRWp3dqk9ZXTjL8IQFw4258LX5QKEM+MMUBg
rMd45VY4hNxazVF1yB+SA5fob2Yz2htKBCOcneEQIu2OLtKDZbp9GQD9otoHiA6vDzWgZl+31ADB
J46bAjEe6e4eqYbuEvjwEOTG/lJGBt5Udm/OG32tGbtwZOJXVsXpULOB24hy6fPwZ9Te8qtg57Kr
NLdIl0y2t9bha/Ierbyg8nEylEun098tR1lIlyMKTljUPxt2iMfXSfNwVoX55seP9XOd9BZz02EG
qOVkdg9SNWyI1dRQ+2JpKij2f4RyJSJOI2q50djZz54xRfLDp9HjgPs8I1CDvNJTFGRDrSNqamJT
bO8NU6b5fN8kDTKvIIp+GLJlv0ngImutI4dnTuNqRx16rGq1lqcHagz0HhxlI00HLgqHVG3nfOoW
A5WCDLvfBT4nYPhwLtl+4gcE6fxOOkntHD9eOtJ60w05ftVGuPN9xeuRAmFC1sV6AsTitHCfgKPg
8qD7JTeviseMVw/Wz/ebi4CPFxQZvecm+P8/OtiIQySfGHRr/oxroD/9//wzOrKRsftUOlAEEYcs
Mhwtn34zvlGmYj8TOqf/dnK+vokqGDa7OVURRcVtyojAy3g0e27EEDOjwZj1C5Pr7eKrVoJU4mMt
K6U3e8ccdQzy5pDzTFgNkwEmFE9NlsFNjYlrXtF3kdt2/QuZQxBMgEwFsjOnMfyUBxR+PE3vMGcT
xV/OdMa3zWhbQTv9YdN3H3RPHTxEYJJ3TeuaCe05RCD1neoIkmA1q+HTmAtGFtFfYeo+q2t5ZHdR
0S96AIEOBl0v9Q+QRetfINqS6O6iAWmysOat8SbNtT6jEep4FFq9vN93WxJna3crwRB8z73v2ppo
k4BVmamRXggvMRdf2fQVOIE5NS1xaZEqcDzRMMQCpmAwp3dCUxyUKOBAEbwJbSGKF98KLdwYtf90
n2ar+BlNyffkvBJvEKWJnsDgMjvBLjgylZyTgMlpm+MnkLriK683lvlNXMHfYGwFY+qEYk5c8kAX
xQjK84n8IhpH60d3Om+JRG/9GokuyqY4/dz5+IDKZtDDHc/KiINmDJfGtInlj9Cq2FLYd2Z4gLk0
bZL9sqSOKC8ixjHVSmKFMWGZBAhY9n0ZPwx8+ABo8/IPskE/Z+9hqJFFjb5CSby/lb6zJD1NJjAi
JIXtF8vX1PPxvKpEk9QAl4Hi+e4XsRx7nxb7J3CNEBPa9NEHe+C7EpOCZfXLkswhCy1gnb1J8wMu
KBsgfehDT9D50tKa642olcVmKWTYI+K0g5vUa3nc1+qpcGCieB/Vpd12HaynwvwQd5Rm1NUZu6p8
1nUCBYZgSNTrVi5Mw4be1KdZ9QQvyKhAg6X4mZbgBUU38kbEKjlB7TAdr1rb1fb2blc7IjkHEhz5
YGuSbinU8yzeTJ/1aYWbtcvpVEdx/8Cgdsz+KzSJ49gWXdSvrkmJ1bzyWxY6+369KOYiAWooTq8E
cX1/QiRCHpLotBH9PJBJpV5luPBEUOnW8K1fXDlh5IPhMTjfJplShsjT4MauC14rnrakWGiNznIy
OalD0z4bhHoz7TGtK96aMQTozSRuxtLQIu1k3SU0OlWRw2b652awUB0RnsXq9Q2upo0a5eOmUWYn
MIc8Po+xTctRVckSEJN/Z1SlqLIOJ7KzHqQe61ydXRzVQm00IEPOoKetr12QYdr/3+YpK6rbzp3D
2PzrwQTSeAjMMQuZ4aYtXyZpbWsizsCg621PE3yYK9ULiwe0/r2Bttxe5ji6CnJ3pAVXwIaul7L1
TMd1mH4+NcuBRUT2juICKlWOAHihRdHxD7l6aSMqC5xb/VJci62flv3hB0S4PK+xY/hQlvg41hfG
Evry1rt6kulfNMarS/gZlOnzaNhrGe9eEGtoRdQ/S5omlNposct4Ysk4b+9EL9wGmxhWIDjQ8S07
Wa3d4tn9qDhOl5GtBSJgVZUm/bMTujofJmoYPnDfprP4eam4JoVhwycKkNGtwMEyYndOK8I5VInW
3HSf1krSEY3tNfysMMjCDFtYz7TsmpVxQYYtO4gjGpEdCPCGGHTn01vkzRfvQanRLaI465Rp6bQw
4iYuvqRdPtPEIGl6Udrc29qrP4+7KKjNMtDYFEFWSyURy3HLlDUljX0w3JCeQ9yawhrGMA3kE8HM
+eK4v0bTMBBbu38HMBZKOYpqVAvsCciqRDlYeI6EjK2+Xd+TAME3GLFgS5dQLyvSYfT5JcdOln9Y
p3tMkznWklLCd3ovEmqAvMhtYrVGOO9BEw66Led9OH8jkdDdjS1LoHiOnH2xa/Jwbai101p8NpC8
zqsxTrevZuuXXBJRGWyYk/kiHUlI4n4/rh9MXpWTSH5Tn6jwRRF1zicf0cDuET4MMtsbFpDvGEEc
OaXQkN+KHi7WZD+OvDmtGowA84H7R+G4uZpwjbW/EKUHf398owgAC2N1+fADIElS658K/wRi5B/3
D4K8OnfB3C9+zR/SC7ySog4ZzJ5zJ3aLDsF6nMQZX6rkQ+CZsQgOR0oLUalpepZH5FMfaQ3vEzUc
f1OJKmBTctce7qddLCiYe194PZmOItfT7Sujb6PDa49xQsHGcjM2Um1VGNDYj2rxL08UJ9yB6dIP
ub2JXRi7caOkKjUBnKmdb3KOiGJBcq8/dzdLGyz8+eDlaIq1MsRl6D/acNrl3yeGiQ/MtXFFbobL
AKcF14wt7PFSXurNsIUpdK7wOb06zaIbpf65wfWwH9vyqF7/YUoUIsN3fT2KLnW7ySsnWd1mhxyC
cvt/aukOgZB2cyFIqrUvkBKoErLG8DXtFWpKJFpXTnkXp0HHsVcv/OnhSlMta5wsXRfN7Ez7wZw8
vcbpXQ5LcsLSHrenDH2HpdBm3Gb/ag0i+re8NwYx0mtsNNt4rZTCmma1CGuUIpTMPZf2W+LENXyi
lN38MffOvZaovkVEzMJu/nezQkm+y+UGDIn5sjNdXsFUobgDj7mPY7dvWhmk+uYAFAJkJejvK6SO
dSq09UJKun3eDRcQ8YG8tGuOolfBs0orrne8vBn/HK1U+IKpbQUNnLB7VbT7uOQs8bNKgIO/HjLT
BuHD2Iq3mS1Agp0a8k7KHN9pfZtiInO1wkUddYwOvA4qZlhffI3Bjx4H3g3G1dqJO8DFdSCMxsCl
A4+RsX4FRHGLzCGMjLwXrZeBmk6O9heBSIK9i+cIr12+sYp5itPnA5p38FD5WaWuzVFBWof1I/p3
3orF3qWTqzofqiwxEiE9f8TBvbRFXaLdKVnstV0XHvCN9On2ggKpcdLdgELwdyxXp4AD10DWtm24
nrLOkAD0eLWaNR63HNBLBbMPc+p0/DSqcxLbAPj7EK0jz7sb4YYOLuA+XMofYazZ6Y+Sa2ZFsD+0
wJSzNG2N2QmHQ25NDOrVrWFjjGlwKJN+PMGCeDIFc3gzAR4WvjGjL+qs8acliuZDFouh2hbej0O+
fiiv9lkGKoRwPCWf5pHBxuZF47nzo4oWPiQx+W9DFUFQom5A/eqJ9pkBSYartZHgtPYQEOLVFUJQ
kWNSNe6+R1ZN7rfUHHLVsfQDGcvrH57hJHw9UqJHzEgempiAS+MOtEoyNI1dhFnwYJp2L6BN4md9
xos91yem3sdEy+O6tITSQsHto+f/znAIRqzfLLby9t/1jMejad0hwDlkKFfvv8xb7NKr9r0sboZ5
7y3UYFm24sSENkEWkkIQi8n3yCCQQLVI+9JydeQimWkNznIwUr7vrCEZxu00qyBB+4TIt36XY727
ljdRkIE9MxSAHfR+c33giJpLZcd4q+hCdM1QK3cq/H/Nvd+QcQx3kr0GeLUpf64A//HpP95c/BJ4
NtZ3B1m1cIppkaA9dwtTGwwMTQu6mVv+A9bLFySyKi1YKf1+1t8zJZ4BW7GLTI3QuXw/zWKEJ1ZO
ekWIV5A+Z2mWP60BnswcIyFhzZ7WoJp/MM2jMpErkVTRBeneHNtAgBgRIZovc8Fq2OlGALwlBn0t
UC3kdnMdGqok511nrFLWi3lfBtki3erP3VcEMgoQu3673CWYKHOehKDMRS6sudZy6X1KIkdjlq9b
RIr5gJ2vQouMU/InKHYcqGqKO6zssj8NxKdFOJcn9hTHoiFVVYbQZpIWyKQyYoxPIKBC14NOY3v5
0LY1F4SGJ8fJ6ZFryc7Dr/DYyNGpRFeqTgn8OzO/WHoOS0ovw96MIsFK4uiyH03Jo4zCRgNOS4/P
dKy+dJLutZjITzJS5i/SrzKJa5ikRGw+OmuYFsS00VkS5IUwkoofwlBnZFfC66j2zodbITimI/gu
2BkNuhRxyuW2ZTJhAqoyJebmm8AGec48ajL2xS7P7Gb+HS5wFSsV0pj8nBehl7Z8ZkOlA90bcasc
PMKNmMJsw34d9FUUJN/4xsN5bu/e5lJnc1zD6PSuNp6kU7awe81/41hlsTpKxW+o4shNAw2pGXkA
ZeQtP40octVV8EX6K+INBwjbEaNddPkq2OEjXscUf2zxtgyZQwc5L4WiCOn9z89LNwGQOpEiQ7/+
26dFaDLbpBdJ9/scG0DGEKhI4qm351kYNO0+x0toEpsbQWjSvKcO8LkGEgAM+stIf1hB3w5DrU6D
JeZqYgdSN4llWvM2Zq8EOSpnrTA14BdXKDTk8kLo3j1XY509gp7CTfRgXav7DgLFaJQCt8+xe8/j
8jbh18xw3nt3DBmsZM0KOqbIroNGhu51D9e6X8DEn6EDM+V3rOypPwueKCy0ttwsaCEIz6ISkjXJ
n6mA6lmLmpX40X9YmLt75a+iImUj78Q5ZwHLAk4CeS3ugHpxSKvlZhfqggkjpUAC9VQ8Ek99pepF
UeZ2xtrl0wkNlmcK9Fka0AkPZ/CHa7Prliripesn0MEkc63oDunhsre6AURp0+nTIJojo/8Ru8Eg
PZQkn7JCswRw5V4HrQlLNui5jmWYq2zPOORbV6pVMUtxYCz1SwwCyg/fsNx3EUeDFIpCQUDby5CL
HYeVJn2uW1Cm38MTiqjOPoNPyrw5dh9FKlE8eUJtof3Enll9J5CsKklTIMsbcYUQNwEJNDzWiCQ0
o1AgbFNrRfW8O3Np/2XGbNfMIt7kZRJFTHGe1L6mJvtA+Hg0mALuP5DC7MQNWqNPY5N/qNW0/3m2
FZ7m3CWKtwQIqiMMv5bCkvUHpI7OGavAnJoN8lZzJQ4LF8mdoNYoySwz2K2mJr+WfgnYr/T5ADW4
CbU6ZYCwJ9MO5ScP09OuFe2c0qAkq3hzey4kWU1arKUMTPOfc9M7U1WQ21XqEDvpxhe+8jg62ync
/jQc1RRQmo24aaLMnlzNzLw/bc0m8uQJC/9CIw1CvwpED5EFVCvz3hcH1uUVW7SXTqDMpAbIB2XX
gMOt9eQDQ/RY3DgIX6GMZ7RI6eLrbZ6xLKE+8M2EhlRTR79J1EJ0DQz2oOHsaZjiULrfy7DFAKci
4y0aTnNmA3q7ggjawdm987QHBpVMxddh1bL9PvpVyxOBFvlPEu3fQvfkQf11WyBZRbMkqb3u3XVY
GDWU6MYkq8dCSxsqXdr64HQ7kI2BOt5SkSQRhmJa69FQ5xcojNoqTxwAsRdAEFyEXw3zAwUTygAM
GPt5d/F2h/NTsbpcvk9k7UXuGoWFWvxFzVkCTm5Bc2uqtE0nuifVMC8jLXt3gZfz4Y84oIjYYXkm
BFR1c44Udp+TCTW8xnncpDS4mW8xKSYYH4APtQy1/5vUEbBR3t711zdtCfbXmMdyYHykWnTOga9o
lIUCIlPv5XWhA2uixPe1SP69+x9Ymh88VRkQQm+Fjbm2gZxM5Xc8IJgk68eAmr2fVslFyh0ZMjjy
OEcuYtlRyNZvmL5stt8f7TqP9/TLJQzAuAFmKA0USo6f7hHHPaGbz3hQQvln4CT5eDgKNYG3fJDU
OE1oaYPKriO7v/BkggylVoo/ZI9RJNaC0iEKfcapbSo33xRr/qNtkrnxdsjXsCjzSJl8mLEk/oSX
ouJivTJPFCwmzUwvalMEcvHKKkSpBfVPMFeZPy40ctAtsY9WVBEnVgJJUMKEi9AXYPooFasYu29K
TcxQjxFMqOTPu0S03incIgkjM9sspLCeAr7nxo666XjCRqsgX0HjmguDCaklnFSy657yW/UaNxFm
LZpAVS56jGoJBgA5xCNoZ2OHubFjxhpf0Cfmjqi5X7fOtLNKpdt+3crqqWLmwfWBsbrydgKIlC8/
NmZTDj6rJzD+5KZA0hhLriMGQvNv+TNFws0fUqmZSpfyZlNGj084YcM9lI0UU16HSZzqoVWCqv+R
CMaROTaKsu0uDt0HU6PQZoDTCYLAcb94TNkfj4+s/3+wXHNqFlmgjH8Z6yfWVbU8LlpltKR559h7
FpWlu8sCALiLwudwMo2VSfW1ZQlzhQgxoDcN5u+iCotZUOX2OtW7Jh3wH4HvDgo0acigFVkAI6sC
yh3pJaEjHKSmV+pEfjqMnAVvtfHsk7+PcuvnG0Qed0jyha3wcNAbGEw+uSPwjh9Pvz1m6tQ+VWkb
ugkQACjZuf72K+EPZdcrWfBpq3t3qG3iMOc63Ok1e4VkLj++NPFSs6mpODh9sgFoWd1tHUpqOmoS
2IIIjVcLuVKje2p2lpP2RoNFcUDK/K2O5WyqP45FECEs3nW5lIX0CQIMOOp23g84AAdb3roS3TKH
A9pn1BPFPW+Jg4VnIgbEmddr5R/9YN5x7f8hTYtHfPoQmX9TZChAYDbo34GTZEB553RmEgLuBlYj
B/egwF8r3tMvHq3RcMAtm5xv2lT7sHxxnWy0UNYYP6MnkKYxepKS2NeWX0VNlfgYr5VO3tFnpN18
oIyQd+zriqk/8RqgMH6YIIZkA7xkfy6QyElrvBfIDv2BuQtYOkTMsC9E1byDhirP7xA7odeejyft
DPOnYsgR+madUa7mOB1grhVII0NRf+PadnT9tlNw8VMwfirztxue1Wu/z2hrRxYloveeK9O1eTCo
bncQkLZNRAbNkDlKSGlczfv/VKDwYtNUJBaGUySXWT2r18aL+4H50N57O9M1E8YUmTxKd0PQk+HP
9L/lCgmx8AYIUVQaxf2iL75zq4goYlqNhgbxqDgNEtge5nIwHKwFgrRx7wpcwxHEUnbsv0ToE9oW
a0NUbNpIu3jjr+gZ03XQLLRNPbsmnBu7BlDvAKMOkMC74M428NTVyXa5GouVIP1SFAda9CbaEFv7
eAodmbZvGQgbiQHQlVlCP7rOYK4m2g8qkxdiOHFVoBw8JZU+YtDBwMVIk79sBXa3LAdDSkFRilt0
7xs1msOtqnlQ2yLUsK+niZChHxASBtJLtZ1FKEOukeJK43hvonmHGu3iv0LJFtmMTnulL4ikVDpQ
EeVICvDJg2dFikiYyM02pbWEYCzVciflBc/UosQSAUZ95h09Uo/CcCl57VNTVMrdEiJ26Dy/3QFR
Aj7NjdnpXN3RAS6Px66cGCIWeK3WIE8Fc71LRJm4dSRmNSBwHDbFMg/SUl7MPk3osoftl4yF6HPI
e6zJ1gMfDfYEX0wcZ/LMWO+HGtEIBVSRxLqZjxDQdJaD3Ts/ogyFoIWF90kg8XeN9bZW+y7FBe63
W5OGLtCgk+eMVBAUs0S8lPtx/iImIrcKMzSvW6ka8vCGF33uoWoCo7povEWyaj+HF1d2LDUafXMV
X+nA+SXfNmV7aD6g3W+FMnARKRdS/tFdeLR0DN3EMJIlYfu6A8tqfKZj+Vp7rlX9DFQSk6Yi6uKO
qorB8VwOT34rjZysj+z3zY4PoVpOu29x/5Bd3RMWo5Gm3H3i6cNantd4htZPEP3l716PN5vC4kCh
quTeiP2YfTnPf/HJ4saAKrWBXZugqa+WxOqKPvsdSZVC5e9xV4f0acjDU39pnzOdOTbN+rgIgVtg
/coyZBwicSTs/r3x9EpedyKzSOJou8g92BopHsy/3J9+0XFnnEQyFbrhYE934Sqpr2vNlNP4bDfk
+nJtMGP+BiS9YNnP0+77ucRVyGXVThklDBZI775cf+CVSuS+INzWhDuM3JzTuhLBORw7wUWqj9x6
pOnuP5SpGQzY5dXXYpXAL5Zp9q5nyLdma7cCTIp4Ts84R0DqPyCveG4KeMwoznkcGBXuauaO49v+
aR96bFoxgAcOI3Ut2FeH9unsoUwYcNijt9rLrEq/wKrvbEdik6hYV8cZIqpWAis9oFoouSaWFWBt
fNhqhiCzgypQbYOZ20gVZmHgwRtKBd2uyaWdN+8PEJUpGUrzhYlqeM8HgIL8bQDRk+Gk6Ss+QOmi
9DjXHUqR46WUNGIRCswg9TgzfzCZgQoc8TNgtdV4+isfcVrNXe+W5VowEoAou+DS2Ni3dMiEvxb7
/v5fLZrBi9ck9ZeFH0wtA72jaK2oCMlh7mO4Ej6KiMFWI6EWWesZFm63fuDKwzArGq/LXo/2IKIk
ERpfXiEFP0rnB124fQv55a8tRrGhhmQ3CBozwltfznWepYU0zHxoATlz0zgCmGUl8qfLhiBvHdEh
DZgTvl8+hq3B7pEk5zJJ5dI+gingYaLrfio183pIQuYDKt4EkhdnLiSFJcOrji38ZLMMm+bgW4Jl
3EX8D5uFeyDEtA==
`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`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 2015"
`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
S+NPt87NQpxvGaf7XnzMdP/fozLeYxnmGHUKXjdEjEGgTytddUHon/69Ruf3u2MpijL8bYh3YMYT
BA51J62O2g==
`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
eWhq3M+oG4VhbsxAoFhy2N5ckPuOqfzYjFoOdIvnmFjZB0XUaUK9OjRWeAWJ+64PFaQYopky0Fq5
SkBYJ6qTTu19vcRrPzkFhidefwIdFd3RbpMr2hTYt72GeQEFiOqvjNTqKCDsYNOsePTj71Ipj5wd
dL4PQcpPvGjWJDGFpag=
`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
BKY5exne6X+eJLRV3fLUX3qUSafuGMa0WOMANSIXiCFfs+cajksxAlVfV88tCmYYHaWrhJlEPvQR
xkT8LQoAnw+tZL4Ln8RKebWTRuAOjySqiXbo8wKwJn3Xv39necQ8/vETp7moOCtgUe3/HeVPPce4
baRQNPLxEaKezVhSVCk=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
a0XmVcGfv5DYijcftaZb1VKT3qaG0lBBjuA11+j48/VERbpZ0nci3Ixv6vTTp2coLRgRkdIm88X7
sH+2l+X74rn0QMI/s1D33046hbEIOJxTLbL/oRGFYB9Xatbwev8bjLFHBgV0G3dZlZKOwckD83JE
wSFvi/Z0yJ195Mm8+UWSAsv33yOqFHNkAdlkHj7wtoZe6hAGcT4huN7BgmT60GSLVo24qBZKcJSe
W4d2AVEllk5wTRpWTaC7c9QgQ1W+dk3140cdFRGBUXtynaV2aRH91pHkcVG9sQ3XqjBKvDbu4v6q
FeyykQLxCbA7TH/GFMdp5XhjCoj9KE6GpRplQw==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
I77KOiMugv8wDv3Qpz9ol3oVg4VmT2J8j1hDucKPSch2XyHXgKzaFSUzI0stUpCF6mhMBJJKaB7C
0VJyPqkc+IZ10Uy+CwjZ3gik2aCJtFHgbPZEhP0+XKjQBLwHhckgiAsQKEFBg64vuzWzJTKcrd8M
y1dHROrhJIJ2ZETFcQq82/pJKlRJfZtZ/6hf4Pm8j1HXf8PipItmRfk8oT6gINQTxdgPn+GPPHQA
vOqMJgeeNWmb798ytYKPyWjNHH8AO5w9pVD8MtvX00hVtMN1XB0GzxE3WTEp05lkA2cus+O/sK1U
qXLYWyaUDH2MrudJxWFhrfcMZOEzmYNkFxlVsQ==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Dp3qi42ziRXBSD7E3fpHh0ylwL65MH8Anyn1ckdFcJOcolKl5/mO6xYc65Lj8dDpKGL8C+hgatRF
3UCoiWfsnfEn7zVRIzWcy/HoIWT7NAa6mf38jRFNz6x8/lkJVjX7fShumTdbhOLLUB0egoIZ5xoz
V2CyjRk0r+OjiBqnq1+6G/4SPn62GZ20BQbmcf1ZCHSQYF0FenJHIvqOYzEfkkm+R/zQj5ZOgPVL
5lRFhgk7DGi4HUUIOebvz8WvCEyuJfEPx2GnES+CuAgPWhZjz4AuriOd8BhXLQvgSsv8yDsUnpsK
h97SJlEQzELELZWb+djosAWEpy2DHJ8EvJoatA==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 74224)
`protect data_block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`protect end_protected
|
-------------------------------------------------------------------------------
-- Entity : openMAC Testbench
-------------------------------------------------------------------------------
--
-- (c) B&R, 2012
--
-- Redistribution and use in source and binary forms, with or without
-- modification, are permitted provided that the following conditions
-- are met:
--
-- 1. Redistributions of source code must retain the above copyright
-- notice, this list of conditions and the following disclaimer.
--
-- 2. Redistributions in binary form must reproduce the above copyright
-- notice, this list of conditions and the following disclaimer in the
-- documentation and/or other materials provided with the distribution.
--
-- 3. Neither the name of B&R nor the names of its
-- contributors may be used to endorse or promote products derived
-- from this software without prior written permission. For written
-- permission, please contact office@br-automation.com
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-- "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-- LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-- FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
-- COPYRIGHT HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
-- INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
-- BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-- LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-- CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-- LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
-- ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-- POSSIBILITY OF SUCH DAMAGE.
--
-------------------------------------------------------------------------------
-- Design unit header --
library IEEE;
use IEEE.std_logic_1164.all;
use ieee.numeric_std.all;
library work;
use global.all;
entity tbOpenMAC is
end tbOpenMAC;
architecture bhv of tbOpenMAC is
---- Component declarations -----
component busMaster
generic(
gAddrWidth : integer := 32;
gDataWidth : integer := 32;
gStimuliFile : string := "name_TB_stim.txt"
);
port (
iAck : in std_logic;
iClk : in std_logic;
iEnable : in std_logic;
iReaddata : in std_logic_vector(gDataWidth-1 downto 0);
iRst : in std_logic;
oAddress : out std_logic_vector(gAddrWidth-1 downto 0);
oByteenable : out std_logic_vector(gDataWidth/8-1 downto 0);
oDone : out std_logic;
oRead : out std_logic;
oSelect : out std_logic;
oWrite : out std_logic;
oWritedata : out std_logic_vector(gDataWidth-1 downto 0)
);
end component;
component clkgen
generic(
gPeriod : time := 20 ns
);
port (
iDone : in std_logic;
oClk : out std_logic
);
end component;
component edgeDet
port (
clk : in std_logic;
din : in std_logic;
rst : in std_logic;
any : out std_logic;
falling : out std_logic;
rising : out std_logic
);
end component;
component enableGen
generic(
gEnableDelay : time := 100 ns
);
port (
iReset : in std_logic;
oEnable : out std_logic;
onEnable : out std_logic
);
end component;
component OpenMAC_DMAFifo
generic(
fifo_data_width_g : natural := 16;
fifo_word_size_g : natural := 32;
fifo_word_size_log2_g : natural := 5
);
port (
aclr : in std_logic;
rd_clk : in std_logic;
rd_req : in std_logic;
wr_clk : in std_logic;
wr_data : in std_logic_vector(fifo_data_width_g-1 downto 0);
wr_req : in std_logic;
rd_data : out std_logic_vector(fifo_data_width_g-1 downto 0);
rd_empty : out std_logic;
rd_full : out std_logic;
rd_usedw : out std_logic_vector(fifo_word_size_log2_g-1 downto 0);
wr_empty : out std_logic;
wr_full : out std_logic;
wr_usedw : out std_logic_vector(fifo_word_size_log2_g-1 downto 0)
);
end component;
component openmac_ethernet
generic(
dma_highadr_g : integer := 31;
endian_g : string := "little";
gNumSmi : integer := 2;
gen2ndCmpTimer_g : boolean := false;
genHub_g : boolean := false;
genPhyActLed_g : boolean := false;
genSmiIO : boolean := true;
gen_dma_observer_g : boolean := true;
iPktBufSizeLog2_g : integer := 10;
iPktBufSize_g : integer := 1024;
m_burstcount_const_g : boolean := true;
m_burstcount_width_g : integer := 4;
m_data_width_g : integer := 16;
m_rx_burst_size_g : integer := 16;
m_rx_fifo_size_g : integer := 16;
m_tx_burst_size_g : integer := 16;
m_tx_fifo_size_g : integer := 16;
simulate : boolean := false;
useIntPktBuf_g : boolean := false;
useRmii_g : boolean := true;
useRxIntPktBuf_g : boolean := false
);
port (
clk : in std_logic;
clkx2 : in std_logic;
m_clk : in std_logic;
m_readdata : in std_logic_vector(m_data_width_g-1 downto 0) := (others => '0');
m_readdatavalid : in std_logic;
m_waitrequest : in std_logic;
phy0_rx_dat : in std_logic_vector(1 downto 0);
phy0_rx_dv : in std_logic;
phy0_rx_err : in std_logic;
phy0_smi_dio_I : in std_logic;
phy1_rx_dat : in std_logic_vector(1 downto 0);
phy1_rx_dv : in std_logic;
phy1_rx_err : in std_logic;
phy1_smi_dio_I : in std_logic;
phyMii0_rx_clk : in std_logic;
phyMii0_rx_dat : in std_logic_vector(3 downto 0);
phyMii0_rx_dv : in std_logic;
phyMii0_rx_err : in std_logic;
phyMii0_tx_clk : in std_logic;
phyMii1_rx_clk : in std_logic;
phyMii1_rx_dat : in std_logic_vector(3 downto 0);
phyMii1_rx_dv : in std_logic;
phyMii1_rx_err : in std_logic;
phyMii1_tx_clk : in std_logic;
phy_smi_dio_I : in std_logic;
pkt_address : in std_logic_vector(iPktBufSizeLog2_g-3 downto 0) := (others => '0');
pkt_byteenable : in std_logic_vector(3 downto 0);
pkt_chipselect : in std_logic;
pkt_clk : in std_logic;
pkt_read : in std_logic;
pkt_write : in std_logic;
pkt_writedata : in std_logic_vector(31 downto 0);
rst : in std_logic;
s_address : in std_logic_vector(11 downto 0);
s_byteenable : in std_logic_vector(1 downto 0);
s_chipselect : in std_logic;
s_read : in std_logic;
s_write : in std_logic;
s_writedata : in std_logic_vector(15 downto 0);
t_address : in std_logic_vector(1 downto 0);
t_byteenable : in std_logic_vector(3 downto 0);
t_chipselect : in std_logic;
t_read : in std_logic;
t_write : in std_logic;
t_writedata : in std_logic_vector(31 downto 0);
act_led : out std_logic;
m_address : out std_logic_vector(29 downto 0);
m_burstcount : out std_logic_vector(m_burstcount_width_g-1 downto 0);
m_burstcounter : out std_logic_vector(m_burstcount_width_g-1 downto 0);
m_byteenable : out std_logic_vector(m_data_width_g/8-1 downto 0);
m_read : out std_logic;
m_write : out std_logic;
m_writedata : out std_logic_vector(m_data_width_g-1 downto 0);
mac_rx_irq : out std_logic;
mac_tx_irq : out std_logic;
phy0_rst_n : out std_logic;
phy0_smi_clk : out std_logic;
phy0_smi_dio_O : out std_logic;
phy0_smi_dio_T : out std_logic;
phy0_tx_dat : out std_logic_vector(1 downto 0);
phy0_tx_en : out std_logic;
phy1_rst_n : out std_logic;
phy1_smi_clk : out std_logic;
phy1_smi_dio_O : out std_logic;
phy1_smi_dio_T : out std_logic;
phy1_tx_dat : out std_logic_vector(1 downto 0);
phy1_tx_en : out std_logic;
phyMii0_tx_dat : out std_logic_vector(3 downto 0);
phyMii0_tx_en : out std_logic;
phyMii1_tx_dat : out std_logic_vector(3 downto 0);
phyMii1_tx_en : out std_logic;
phy_rst_n : out std_logic;
phy_smi_clk : out std_logic;
phy_smi_dio_O : out std_logic;
phy_smi_dio_T : out std_logic;
pkt_readdata : out std_logic_vector(31 downto 0);
pkt_waitrequest : out std_logic;
s_irq : out std_logic;
s_readdata : out std_logic_vector(15 downto 0);
s_waitrequest : out std_logic;
t_irq : out std_logic;
t_readdata : out std_logic_vector(31 downto 0);
t_tog : out std_logic;
t_waitrequest : out std_logic;
phy0_smi_dio : inout std_logic := '1';
phy1_smi_dio : inout std_logic := '1';
phy_smi_dio : inout std_logic := '1'
);
end component;
component req_ack
generic(
ack_delay_g : integer := 1;
zero_delay_g : boolean := false
);
port (
clk : in std_logic;
enable : in std_logic;
rst : in std_logic;
ack : out std_logic
);
end component;
---- Architecture declarations -----
-- Click here to add additional declarations --
constant cAddrwidth : integer := 32;
constant cDatawidth : integer := 16;
constant cEnableLoop : boolean := true;
constant cRmiiDelayExp : integer := 20; -- 2**10
constant cGenManCol : boolean := false; --collision with manual tx frame
constant cGenAutoCol : boolean := false; --collision with auto tx frame
constant cDmaDataWidth : integer := 32;
constant cDmaBurstWidth : integer := 6;
---- Constants -----
constant DANGLING_INPUT_CONSTANT : std_logic := 'Z';
constant GND_CONSTANT : std_logic := '0';
---- Signal declarations used on the diagram ----
signal ack : std_logic;
signal busMasterDone : std_logic;
signal clk100 : std_logic;
signal clk50 : std_logic;
signal done : std_logic := '1';
signal enable : std_logic;
signal fifo_rd_empty : std_logic;
signal fifo_rd_req : std_logic;
signal fifo_wr_req : std_logic;
signal fifo_wr_req_falling : std_logic;
signal GND : std_logic;
signal macDone : std_logic;
signal m_read : std_logic;
signal m_readdatavalid : std_logic;
signal m_waitrequest : std_logic;
signal m_write : std_logic;
signal NET799 : std_logic;
signal NET808 : std_logic;
signal phy0_rx_dv : std_logic;
signal phy0_rx_err : std_logic;
signal phy0_tx_en : std_logic;
signal phy1_rx_dv : std_logic;
signal phy1_rx_err : std_logic;
signal phy1_tx_en : std_logic;
signal read : std_logic;
signal reset : std_logic;
signal rst : std_logic;
signal sel : std_logic;
signal s_chipselect : std_logic;
signal s_read : std_logic;
signal s_waitrequest : std_logic;
signal s_write : std_logic;
signal write : std_logic;
signal address : std_logic_vector (cAddrwidth-1 downto 0);
signal byteenable : std_logic_vector (cDatawidth/8-1 downto 0);
signal fifo_rd_data : std_logic_vector (1 downto 0);
signal fifo_rd_usedw : std_logic_vector (cRmiiDelayExp-1 downto 0);
signal fifo_wr_data : std_logic_vector (1 downto 0);
signal fifo_wr_done : std_logic_vector (31 downto 0);
signal m_burstcount : std_logic_vector (cDmaBurstWidth-1 downto 0);
signal m_burstcounter : std_logic_vector (cDmaBurstWidth-1 downto 0);
signal phy0_rx_dat : std_logic_vector (1 downto 0);
signal phy0_tx_dat : std_logic_vector (1 downto 0);
signal phy1_rx_dat : std_logic_vector (1 downto 0);
signal phy1_tx_dat : std_logic_vector (1 downto 0);
signal readdata : std_logic_vector (cDatawidth-1 downto 0);
signal s_address : std_logic_vector (11 downto 0);
signal s_byteenable : std_logic_vector (1 downto 0);
signal s_readdata : std_logic_vector (15 downto 0);
signal s_writedata : std_logic_vector (15 downto 0);
signal writedata : std_logic_vector (cDatawidth-1 downto 0);
---- Declaration for Dangling input ----
signal Dangling_Input_Signal : STD_LOGIC;
begin
---- User Signal Assignments ----
--generate done signal
done <= busMasterDone and macDone;
--mac
macDone <= '1';
-- write
s_chipselect <= sel;
s_read <= read;
s_write <= write;
s_address <= address(s_address'high+1 downto 1);
s_byteenable <= byteenable;
s_writedata <= writedata;
-- read
readdata <= s_readdata;
ack <= not s_waitrequest;
--master
m_waitrequest <= not(m_read or m_write);
m_readdatavalid <= '0' when unsigned(m_burstcounter) = 0 or m_write = '1' else not m_read;
--phy if
genNoRx : if not cEnableLoop generate
begin
phy0_rx_dv <= '0';
phy0_rx_err <= '0';
phy0_rx_dat <= "00";
end generate;
phy1_rx_dv <=
phy0_tx_en after 2500 ns when cGenManCol else
phy0_tx_en after 2500 ns when cGenAutoCol and unsigned(fifo_wr_done) = 1 else
'0';
phy1_rx_err <= '0';
phy1_rx_dat <=
phy0_tx_dat after 2500 ns when cGenManCol else
phy0_tx_dat after 2500 ns when cGenAutoCol and unsigned(fifo_wr_done) = 1 else
"00";
fifo_wr_req <= phy0_tx_en;
genLoop : if cEnableLoop generate
begin
fifo_wr_data <= phy0_tx_dat;
phy0_rx_dv <= fifo_rd_req;
phy0_rx_dat <= fifo_rd_data(1 downto 0);
phy0_rx_err <= '0';
end generate;
procFifoRdReq : process(clk50, reset)
begin
if reset = '1' then
fifo_rd_req <= '0';
fifo_wr_done <= (others => '0');
elsif rising_edge(clk50) then
if fifo_rd_empty = '1' then
fifo_rd_req <= '0';
elsif fifo_wr_req_falling = '1' then
fifo_rd_req <= '1' after 1 us;
fifo_wr_done <= std_logic_vector(unsigned(fifo_wr_done) + 1);
-- elsif unsigned(fifo_rd_usedw) > 106 and unsigned(fifo_wr_done) = 0 then
-- fifo_rd_req <= '1'; -- after 1 us;
-- fifo_wr_done <= std_logic_vector(unsigned(fifo_wr_done) + 1);
end if;
end if;
end process;
---- Component instantiations ----
DUT : openmac_ethernet
generic map (
dma_highadr_g => 29,
endian_g => "little",
gNumSmi => 2,
gen2ndCmpTimer_g => false,
genHub_g => true,
genPhyActLed_g => false,
genSmiIO => true,
gen_dma_observer_g => true,
iPktBufSizeLog2_g => 10,
iPktBufSize_g => 1024,
m_burstcount_const_g => true,
m_burstcount_width_g => cDmaBurstWidth,
m_data_width_g => cDmaDataWidth,
m_rx_burst_size_g => 2**(cDmaBurstWidth-1),
m_rx_fifo_size_g => 3*2**cDmaBurstWidth,
m_tx_burst_size_g => 2**(cDmaBurstWidth-1),
m_tx_fifo_size_g => 3*2**cDmaBurstWidth,
simulate => false,
useIntPktBuf_g => false,
useRmii_g => true,
useRxIntPktBuf_g => false
)
port map(
phyMii0_rx_dat(0) => Dangling_Input_Signal,
phyMii0_rx_dat(1) => Dangling_Input_Signal,
phyMii0_rx_dat(2) => Dangling_Input_Signal,
phyMii0_rx_dat(3) => Dangling_Input_Signal,
phyMii1_rx_dat(0) => Dangling_Input_Signal,
phyMii1_rx_dat(1) => Dangling_Input_Signal,
phyMii1_rx_dat(2) => Dangling_Input_Signal,
phyMii1_rx_dat(3) => Dangling_Input_Signal,
pkt_byteenable(0) => Dangling_Input_Signal,
pkt_byteenable(1) => Dangling_Input_Signal,
pkt_byteenable(2) => Dangling_Input_Signal,
pkt_byteenable(3) => Dangling_Input_Signal,
pkt_writedata(0) => Dangling_Input_Signal,
pkt_writedata(1) => Dangling_Input_Signal,
pkt_writedata(2) => Dangling_Input_Signal,
pkt_writedata(3) => Dangling_Input_Signal,
pkt_writedata(4) => Dangling_Input_Signal,
pkt_writedata(5) => Dangling_Input_Signal,
pkt_writedata(6) => Dangling_Input_Signal,
pkt_writedata(7) => Dangling_Input_Signal,
pkt_writedata(8) => Dangling_Input_Signal,
pkt_writedata(9) => Dangling_Input_Signal,
pkt_writedata(10) => Dangling_Input_Signal,
pkt_writedata(11) => Dangling_Input_Signal,
pkt_writedata(12) => Dangling_Input_Signal,
pkt_writedata(13) => Dangling_Input_Signal,
pkt_writedata(14) => Dangling_Input_Signal,
pkt_writedata(15) => Dangling_Input_Signal,
pkt_writedata(16) => Dangling_Input_Signal,
pkt_writedata(17) => Dangling_Input_Signal,
pkt_writedata(18) => Dangling_Input_Signal,
pkt_writedata(19) => Dangling_Input_Signal,
pkt_writedata(20) => Dangling_Input_Signal,
pkt_writedata(21) => Dangling_Input_Signal,
pkt_writedata(22) => Dangling_Input_Signal,
pkt_writedata(23) => Dangling_Input_Signal,
pkt_writedata(24) => Dangling_Input_Signal,
pkt_writedata(25) => Dangling_Input_Signal,
pkt_writedata(26) => Dangling_Input_Signal,
pkt_writedata(27) => Dangling_Input_Signal,
pkt_writedata(28) => Dangling_Input_Signal,
pkt_writedata(29) => Dangling_Input_Signal,
pkt_writedata(30) => Dangling_Input_Signal,
pkt_writedata(31) => Dangling_Input_Signal,
t_address(0) => Dangling_Input_Signal,
t_address(1) => Dangling_Input_Signal,
t_byteenable(0) => Dangling_Input_Signal,
t_byteenable(1) => Dangling_Input_Signal,
t_byteenable(2) => Dangling_Input_Signal,
t_byteenable(3) => Dangling_Input_Signal,
t_writedata(0) => Dangling_Input_Signal,
t_writedata(1) => Dangling_Input_Signal,
t_writedata(2) => Dangling_Input_Signal,
t_writedata(3) => Dangling_Input_Signal,
t_writedata(4) => Dangling_Input_Signal,
t_writedata(5) => Dangling_Input_Signal,
t_writedata(6) => Dangling_Input_Signal,
t_writedata(7) => Dangling_Input_Signal,
t_writedata(8) => Dangling_Input_Signal,
t_writedata(9) => Dangling_Input_Signal,
t_writedata(10) => Dangling_Input_Signal,
t_writedata(11) => Dangling_Input_Signal,
t_writedata(12) => Dangling_Input_Signal,
t_writedata(13) => Dangling_Input_Signal,
t_writedata(14) => Dangling_Input_Signal,
t_writedata(15) => Dangling_Input_Signal,
t_writedata(16) => Dangling_Input_Signal,
t_writedata(17) => Dangling_Input_Signal,
t_writedata(18) => Dangling_Input_Signal,
t_writedata(19) => Dangling_Input_Signal,
t_writedata(20) => Dangling_Input_Signal,
t_writedata(21) => Dangling_Input_Signal,
t_writedata(22) => Dangling_Input_Signal,
t_writedata(23) => Dangling_Input_Signal,
t_writedata(24) => Dangling_Input_Signal,
t_writedata(25) => Dangling_Input_Signal,
t_writedata(26) => Dangling_Input_Signal,
t_writedata(27) => Dangling_Input_Signal,
t_writedata(28) => Dangling_Input_Signal,
t_writedata(29) => Dangling_Input_Signal,
t_writedata(30) => Dangling_Input_Signal,
t_writedata(31) => Dangling_Input_Signal,
clk => clk50,
clkx2 => clk100,
m_burstcount => m_burstcount( cDmaBurstWidth-1 downto 0 ),
m_burstcounter => m_burstcounter( cDmaBurstWidth-1 downto 0 ),
m_clk => clk100,
m_read => m_read,
m_readdatavalid => m_readdatavalid,
m_waitrequest => m_waitrequest,
m_write => m_write,
phy0_rx_dat => phy0_rx_dat,
phy0_rx_dv => phy0_rx_dv,
phy0_rx_err => phy0_rx_err,
phy0_smi_dio_I => Dangling_Input_Signal,
phy0_tx_dat => phy0_tx_dat,
phy0_tx_en => phy0_tx_en,
phy1_rx_dat => phy1_rx_dat,
phy1_rx_dv => phy1_rx_dv,
phy1_rx_err => phy1_rx_err,
phy1_smi_dio_I => Dangling_Input_Signal,
phy1_tx_dat => phy1_tx_dat,
phy1_tx_en => phy1_tx_en,
phyMii0_rx_clk => Dangling_Input_Signal,
phyMii0_rx_dv => Dangling_Input_Signal,
phyMii0_rx_err => Dangling_Input_Signal,
phyMii0_tx_clk => Dangling_Input_Signal,
phyMii1_rx_clk => Dangling_Input_Signal,
phyMii1_rx_dv => Dangling_Input_Signal,
phyMii1_rx_err => Dangling_Input_Signal,
phyMii1_tx_clk => Dangling_Input_Signal,
phy_smi_dio_I => Dangling_Input_Signal,
pkt_chipselect => Dangling_Input_Signal,
pkt_clk => Dangling_Input_Signal,
pkt_read => Dangling_Input_Signal,
pkt_write => Dangling_Input_Signal,
rst => reset,
s_address => s_address,
s_byteenable => s_byteenable,
s_chipselect => s_chipselect,
s_read => s_read,
s_readdata => s_readdata,
s_waitrequest => s_waitrequest,
s_write => s_write,
s_writedata => s_writedata,
t_chipselect => Dangling_Input_Signal,
t_read => Dangling_Input_Signal,
t_write => Dangling_Input_Signal
);
RMII_DELAY : OpenMAC_DMAFifo
generic map (
fifo_data_width_g => 2,
fifo_word_size_g => 2**cRmiiDelayExp,
fifo_word_size_log2_g => cRmiiDelayExp
)
port map(
aclr => reset,
rd_clk => clk50,
rd_data => fifo_rd_data( 1 downto 0 ),
rd_empty => fifo_rd_empty,
rd_req => fifo_rd_req,
rd_usedw => fifo_rd_usedw( cRmiiDelayExp-1 downto 0 ),
wr_clk => clk50,
wr_data => fifo_wr_data( 1 downto 0 ),
wr_req => fifo_wr_req
);
TRIG_READ : edgeDet
port map(
clk => clk50,
din => fifo_wr_req,
falling => fifo_wr_req_falling,
rst => rst
);
U1 : clkgen
generic map (
gPeriod => 20 ns
)
port map(
iDone => done,
oClk => clk50
);
U2 : enableGen
generic map (
gEnableDelay => 50 ns
)
port map(
iReset => GND,
onEnable => reset
);
U3 : enableGen
generic map (
gEnableDelay => 100 ns
)
port map(
iReset => reset,
oEnable => enable
);
U4 : busMaster
generic map (
gAddrWidth => cAddrwidth,
gDataWidth => cDatawidth,
gStimuliFile => "openMAC/tb/tbOpenMAC_stim.txt"
)
port map(
iAck => ack,
iClk => clk50,
iEnable => enable,
iReaddata => readdata( cDatawidth-1 downto 0 ),
iRst => reset,
oAddress => address( cAddrwidth-1 downto 0 ),
oByteenable => byteenable( cDatawidth/8-1 downto 0 ),
oDone => busMasterDone,
oRead => read,
oSelect => sel,
oWrite => write,
oWritedata => writedata( cDatawidth-1 downto 0 )
);
U5 : req_ack
generic map (
ack_delay_g => 1,
zero_delay_g => true
)
port map(
ack => NET799,
clk => clk50,
enable => write,
rst => reset
);
U6 : req_ack
generic map (
ack_delay_g => 1,
zero_delay_g => false
)
port map(
ack => NET808,
clk => clk50,
enable => read,
rst => reset
);
ack <= NET808 or NET799;
U8 : clkgen
generic map (
gPeriod => 10 ns
)
port map(
iDone => done,
oClk => clk100
);
---- Power , ground assignment ----
GND <= GND_CONSTANT;
---- Dangling input signal assignment ----
Dangling_Input_Signal <= DANGLING_INPUT_CONSTANT;
end bhv;
|
architecture rtl of fifo is
constant sig8 : 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));
constant sig9 : t_data_struct(data(7 downto 0));
constant sig9 : t_data_struct(
data(7 downto 0)
);
begin
end architecture rtl;
|
-------------------------------------------------------------------------------
-- $Id: or_with_enable_f.vhd,v 1.1.4.1 2010/09/14 22:35:46 dougt Exp $
-------------------------------------------------------------------------------
-- or_with_enable_f
-------------------------------------------------------------------------------
--
-- *************************************************************************
-- ** **
-- ** DISCLAIMER OF LIABILITY **
-- ** **
-- ** This text/file contains proprietary, confidential **
-- ** information of Xilinx, Inc., is distributed under **
-- ** license from Xilinx, Inc., and may be used, copied **
-- ** and/or disclosed only pursuant to the terms of a valid **
-- ** license agreement with Xilinx, Inc. Xilinx hereby **
-- ** grants you a license to use this text/file solely for **
-- ** design, simulation, implementation and creation of **
-- ** design files limited to Xilinx devices or technologies. **
-- ** Use with non-Xilinx devices or technologies is expressly **
-- ** prohibited and immediately terminates your license unless **
-- ** covered by a separate agreement. **
-- ** **
-- ** Xilinx is providing this design, code, or information **
-- ** "as-is" solely for use in developing programs and **
-- ** solutions for Xilinx devices, with no obligation on the **
-- ** part of Xilinx to provide support. By providing this design, **
-- ** code, or information as one possible implementation of **
-- ** this feature, application or standard, Xilinx is making no **
-- ** representation that this implementation is free from any **
-- ** claims of infringement. You are responsible for obtaining **
-- ** any rights you may require for your implementation. **
-- ** Xilinx expressly disclaims any warranty whatsoever with **
-- ** respect to the adequacy of the implementation, including **
-- ** but not limited to any warranties or representations that this **
-- ** implementation is free from claims of infringement, implied **
-- ** warranties of merchantability or fitness for a particular **
-- ** purpose. **
-- ** **
-- ** Xilinx products are not intended for use in life support **
-- ** appliances, devices, or systems. Use in such applications is **
-- ** expressly prohibited. **
-- ** **
-- ** Any modifications that are made to the Source Code are **
-- ** done at the users sole risk and will be unsupported. **
-- ** The Xilinx Support Hotline does not have access to source **
-- ** code and therefore cannot answer specific questions related **
-- ** to source HDL. The Xilinx Hotline support of original source **
-- ** code IP shall only address issues and questions related **
-- ** to the standard Netlist version of the core (and thus **
-- ** indirectly, the original core source). **
-- ** **
-- ** Copyright (c) 2006-2010 Xilinx, Inc. All rights reserved. **
-- ** **
-- ** This copyright and support notice must be retained as part **
-- ** of this text at all times. **
-- ** **
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: or_with_enable_f.vhd
--
-- Description: Y <= or_reduce(OR_bits) and Enable
--
-- i.e., OR together the OR_bits and AND the result with Enable.
--
-- The implementation uses a single LUT if possible.
-- Otherwise, if C_FAMILY supports the carry chain concept,
-- it uses a minimal number of LUTs on a carry chain.
-- The native LUT size of C_FAMILY is taken into account.
--
-------------------------------------------------------------------------------
-- Structure: Common use module
-------------------------------------------------------------------------------
-- Author: FLO
-- History:
-- FLO 05/06/06 -- First version
-- ~~~~~~
-- FLO 05/25/06
-- ^^^^^^
-- -Using native_lut_size function from family_support.
-- -Moved C_FAMILY to end of generics.
-- -Minor cleanup.
-- ~~~~~~
-- FLO 11/17/07
-- ^^^^^^
-- -Work around because XST doesn't yet support or_reduce with null argument.
-- ~~~~~~
--
-- DET 1/17/2008 v3_00_a
-- ~~~~~~
-- - Changed proc_common library version to v3_00_a
-- - Incorporated new disclaimer header
-- ^^^^^^
--
-------------------------------------------------------------------------------
-- Naming Conventions:
-- active low signals: "*_n"
-- clock signals: "clk", "clk_div#", "clk_#x"
-- reset signals: "rst", "rst_n"
-- generics: "C_*"
-- user defined types: "*_TYPE"
-- state machine next state: "*_ns"
-- state machine current state: "*_cs"
-- combinatorial signals: "*_cmb"
-- pipelined or register delay signals: "*_d#"
-- counter signals: "*cnt*"
-- clock enable signals: "*_ce"
-- internal version of output port "*_i"
-- device pins: "*_pin"
-- ports: - Names begin with Uppercase
-- processes: "*_PROCESS"
-- component instantiations: "<ENTITY_>I_<#|FUNC>
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
--
entity or_with_enable_f is
generic (
C_OR_WIDTH : natural;
C_FAMILY : string := "nofamily"
);
port (
OR_bits : in std_logic_vector(0 to C_OR_WIDTH-1);
Enable : in std_logic;
Y : out std_logic
);
end or_with_enable_f;
library proc_common_v3_00_a;
use proc_common_v3_00_a.family_support.all;
-- Makes visible the function 'supported' and related types,
-- including enumeration literals for the unisim primitives (e.g.
-- the "u_" prefixed identifiers such as u_MUXCY, u_LUT4, etc.).
library unisim;
use unisim.all; -- Make unisim entities available for default binding.
--
architecture implementation of or_with_enable_f is
----------------------------------------------------------------------------
-- Here is determined the largest LUT width supported by the target family.
-- If no LUT is supported, the width is set to a very large number, which,
-- as things are structured, will cause an inferred implementation
-- to be used.
----------------------------------------------------------------------------
constant LUT_SIZE : integer := native_lut_size(fam_as_string => C_FAMILY,
no_lut_return_val => integer'high
);
----------------------------------------------------------------------------
-- Here is determined which structural or inferred implementation to use.
----------------------------------------------------------------------------
constant USE_STRUCTURAL_A : boolean := supported(C_FAMILY, u_MUXCY) and
OR_bits'length + 1 > LUT_SIZE;
-- Structural implementation not needed if the number of logic
-- inputs, i.e., the Enable plus the number of bits to be ORed,
-- will fit into a single LUT.
constant USE_INFERRED : boolean := not USE_STRUCTURAL_A;
----------------------------------------------------------------------------
-- Reduction OR function.
----------------------------------------------------------------------------
function or_reduce (v : std_logic_vector) return std_logic is
variable r : std_logic := '0';
begin
for i in v'range loop
r := r or v(i);
end loop;
return r;
end;
----------------------------------------------------------------------------
-- Signal to recast OR_bits into a local array whose index bounds and
-- direction are known.
----------------------------------------------------------------------------
signal OB : std_logic_vector(0 to OR_bits'length-1);
----------------------------------------------------------------------------
-- Unisim components declared locally for maximum avoidance of default
-- binding and vcomponents version issues.
----------------------------------------------------------------------------
component MUXCY
port
(
O : out std_ulogic;
CI : in std_ulogic;
DI : in std_ulogic;
S : in std_ulogic
);
end component;
begin
OB <= OR_bits;
----------------------------------------------------------------------------
-- Inferred implementation.
----------------------------------------------------------------------------
INFERRED_GEN : if USE_INFERRED generate
begin
Y <= Enable and or_reduce(OB);
end generate INFERRED_GEN;
----------------------------------------------------------------------------
-- Structural implementation.
----------------------------------------------------------------------------
STRUCTURAL_A_GEN : if USE_STRUCTURAL_A generate
constant NUM_PURE_OR_LUTS : positive := (OB'length / LUT_SIZE);
signal cy : std_logic_vector(0 to NUM_PURE_OR_LUTS);
signal final_lut : std_logic;
begin
--
cy(0) <= '0';
--
PURE_OR_GEN : for i in 0 to NUM_PURE_OR_LUTS-1 generate
signal lut : std_logic;
begin
lut <= not or_reduce(OB(i*LUT_SIZE to (i+1)*LUT_SIZE-1));
--
I_MUXCY : component MUXCY
port map (O =>cy(i+1),
CI=>cy(i),
DI=>'1',
S =>lut);
end generate;
--
XST_WA_GEN : if (OB'length mod LUT_SIZE) = 0 generate begin
final_lut <= Enable;
end generate;
--
ORIG_GEN : if (OB'length mod LUT_SIZE) /= 0 generate begin
final_lut <= Enable
and not or_reduce(OB(NUM_PURE_OR_LUTS*LUT_SIZE to OB'right));
end generate;
--
I_MUXCY_FINAL : component MUXCY
port map (O =>Y,
CI=>cy(NUM_PURE_OR_LUTS),
DI=>Enable,
S =>final_lut);
--
end generate STRUCTURAL_A_GEN;
end implementation;
|
-- -------------------------------------------------------------
--
-- Generated Configuration for ent_ae
--
-- Generated
-- by: wig
-- on: Mon Jul 18 16:07:27 2005
-- cmd: h:/work/eclipse/mix/mix_0.pl -sheet HIER=HIER_MIXED -strip -nodelta ../../verilog.xls
--
-- !!! Do not edit this file! Autogenerated by MIX !!!
-- $Author: wig $
-- $Id: ent_ae-rtl-conf-c.vhd,v 1.4 2005/07/19 07:13:20 wig Exp $
-- $Date: 2005/07/19 07:13:20 $
-- $Log: ent_ae-rtl-conf-c.vhd,v $
-- Revision 1.4 2005/07/19 07:13:20 wig
-- Update testcases. Added highlow/nolowbus
--
--
-- Based on Mix Entity Template built into RCSfile: MixWriter.pm,v
-- Id: MixWriter.pm,v 1.57 2005/07/18 08:58:22 wig Exp
--
-- Generator: mix_0.pl Version: Revision: 1.36 , wilfried.gaensheimer@micronas.com
-- (C) 2003 Micronas GmbH
--
-- --------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
-- No project specific VHDL libraries/conf
--
-- Start of Generated Configuration ent_ae_rtl_conf / ent_ae
--
configuration ent_ae_rtl_conf of ent_ae is
for rtl
-- Generated Configuration
end for;
end ent_ae_rtl_conf;
--
-- End of Generated Configuration ent_ae_rtl_conf
--
--
--!End of Configuration/ies
-- --------------------------------------------------------------
|
--Copyright (C) 2016 Siavoosh Payandeh Azad
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
use IEEE.NUMERIC_STD.all;
use ieee.math_real.all;
use std.textio.all;
use ieee.std_logic_misc.all;
package TB_Package is
function CX_GEN(current_address, network_x, network_y : integer) return integer;
procedure NI_control(network_x, network_y, frame_length, current_address, initial_delay, min_packet_size, max_packet_size: in integer;
finish_time: in time;
signal clk: in std_logic;
-- NI configuration
signal reserved_address : in std_logic_vector(29 downto 0);
signal flag_address : in std_logic_vector(29 downto 0) ; -- reserved address for the memory mapped I/O
signal counter_address : in std_logic_vector(29 downto 0);
signal reconfiguration_address : in std_logic_vector(29 downto 0); -- reserved address for reconfiguration register
-- NI signals
signal enable: out std_logic;
signal write_byte_enable: out std_logic_vector(3 downto 0);
signal address: out std_logic_vector(31 downto 2);
signal data_write: out std_logic_vector(31 downto 0);
signal data_read: in std_logic_vector(31 downto 0);
signal test: out std_logic_vector(31 downto 0));
end TB_Package;
package body TB_Package is
constant Header_type : std_logic_vector := "001";
constant Body_type : std_logic_vector := "010";
constant Tail_type : std_logic_vector := "100";
function CX_GEN(current_address, network_x, network_y: integer) return integer is
variable X, Y : integer := 0;
variable CN, CE, CW, CS : std_logic := '0';
variable CX : std_logic_vector(3 downto 0);
begin
X := current_address mod network_x;
Y := current_address / network_x;
if X /= 0 then
CW := '1';
end if;
if X /= network_x-1 then
CE := '1';
end if;
if Y /= 0 then
CN := '1';
end if;
if Y /= network_y-1 then
CS := '1';
end if;
CX := CS&CW&CE&CN;
return to_integer(unsigned(CX));
end CX_GEN;
procedure NI_control(network_x, network_y, frame_length, current_address, initial_delay, min_packet_size, max_packet_size: in integer;
finish_time: in time;
signal clk: in std_logic;
-- NI configuration
signal reserved_address : in std_logic_vector(29 downto 0);
signal flag_address : in std_logic_vector(29 downto 0) ; -- reserved address for the memory mapped I/O
signal counter_address : in std_logic_vector(29 downto 0);
signal reconfiguration_address : in std_logic_vector(29 downto 0); -- reserved address for reconfiguration register
-- NI signals
signal enable: out std_logic;
signal write_byte_enable: out std_logic_vector(3 downto 0);
signal address: out std_logic_vector(31 downto 2);
signal data_write: out std_logic_vector(31 downto 0);
signal data_read: in std_logic_vector(31 downto 0);
signal test: out std_logic_vector(31 downto 0)) is
-- variables for random functions
constant DATA_WIDTH : integer := 32;
variable seed1 :positive := current_address+1;
variable seed2 :positive := current_address+1;
variable rand : real ;
--file handling variables
variable SEND_LINEVARIABLE : line;
file SEND_FILE : text;
variable RECEIVED_LINEVARIABLE : line;
file RECEIVED_FILE : text;
-- receiving variables
variable receive_source_node, receive_destination_node, receive_packet_id, receive_counter, receive_packet_length: integer;
-- sending variables
variable send_destination_node, send_counter, send_id_counter: integer:= 0;
variable send_packet_length: integer:= 8;
type state_type is (Idle, Header_flit, Body_flit, Body_flit_1, Tail_flit);
variable state : state_type;
variable frame_starting_delay : integer:= 0;
variable frame_counter: integer:= 0;
variable first_packet : boolean := True;
begin
file_open(RECEIVED_FILE,"received.txt",WRITE_MODE);
file_open(SEND_FILE,"sent.txt",WRITE_MODE);
enable <= '1';
state := Idle;
send_packet_length := min_packet_size;
uniform(seed1, seed2, rand);
frame_starting_delay := integer(((integer(rand*100.0)*(frame_length - max_packet_size-1)))/100);
wait until clk'event and clk ='0';
address <= reconfiguration_address;
wait until clk'event and clk ='0';
write_byte_enable <= "1111";
data_write <= "00000000000000000000" & std_logic_vector(to_unsigned(CX_GEN(current_address, network_x, network_y), 4)) & std_logic_vector(to_unsigned(60, 8));
wait until clk'event and clk ='0';
write_byte_enable <= "0000";
data_write <= (others =>'0');
while true loop
-- read the flag status
address <= flag_address;
write_byte_enable <= "0000";
wait until clk'event and clk ='0';
--flag register is organized like this:
-- .-------------------------------------------------.
-- | N2P_empty | P2N_full | ...|
-- '-------------------------------------------------'
if data_read(31) = '0' then -- N2P is not empty, can receive flit
-- read the received data status
address <= counter_address;
write_byte_enable <= "0000";
wait until clk'event and clk ='0';
-- read the received data status
address <= reserved_address;
write_byte_enable <= "0000";
wait until clk'event and clk ='0';
if (data_read(DATA_WIDTH-1 downto DATA_WIDTH-3) = "001") then -- got header flit
receive_destination_node := to_integer(unsigned(data_read(14 downto 8)))* network_x+to_integer(unsigned(data_read(7 downto 1)));
receive_source_node :=to_integer(unsigned(data_read(28 downto 22)))* network_x+to_integer(unsigned(data_read(21 downto 15)));
receive_counter := 1;
end if;
if (data_read(DATA_WIDTH-1 downto DATA_WIDTH-3) = "010") then -- got body flit
if receive_counter = 1 then
receive_packet_length := to_integer(unsigned(data_read(28 downto 15)));
receive_packet_id := to_integer(unsigned(data_read(14 downto 1)));
end if;
receive_counter := receive_counter+1;
end if;
if (data_read(DATA_WIDTH-1 downto DATA_WIDTH-3) = "100") then -- got tail flit
receive_counter := receive_counter+1;
write(RECEIVED_LINEVARIABLE, "Packet received at " & time'image(now) & " From: " & integer'image(receive_source_node) & " to: " & integer'image(receive_destination_node) & " length: "& integer'image(receive_packet_length) & " actual length: "& integer'image(receive_counter) & " id: "& integer'image(receive_packet_id));
writeline(RECEIVED_FILE, RECEIVED_LINEVARIABLE);
end if;
elsif data_read(30) = '0' then -- P2N is not full, can send flit
if frame_counter >= frame_starting_delay then
if state = Idle and now < finish_time then
if frame_counter < frame_starting_delay+1 then
state := Header_flit;
send_counter := send_counter+1;
-- generating the destination address
uniform(seed1, seed2, rand);
send_destination_node := integer(rand*real((network_x*network_y)-1));
while (send_destination_node = current_address) loop
uniform(seed1, seed2, rand);
send_destination_node := integer(rand*real((network_x*network_y)-1));
end loop;
--generating the packet length
uniform(seed1, seed2, rand);
send_packet_length := integer((integer(rand*100.0)*frame_length)/300);
if (send_packet_length < min_packet_size) then
send_packet_length:=min_packet_size;
end if;
if (send_packet_length > max_packet_size) then
send_packet_length:=max_packet_size;
end if;
-- this is the header flit
address <= reserved_address;
write_byte_enable <= "1111";
data_write <= "0000" & std_logic_vector(to_unsigned(current_address/network_x, 7)) & std_logic_vector(to_unsigned(current_address mod network_x, 7)) & std_logic_vector(to_unsigned(send_destination_node/network_x, 7)) & std_logic_vector(to_unsigned(send_destination_node mod network_x, 7));
write(SEND_LINEVARIABLE, "Packet generated at " & time'image(now) & " From " & integer'image(current_address) & " to " & integer'image(send_destination_node) & " with length: "& integer'image(send_packet_length) & " id: " & integer'image(send_id_counter));
writeline(SEND_FILE, SEND_LINEVARIABLE);
else
state := Idle;
end if;
elsif state = Header_flit then
-- first body flit
address <= reserved_address;
write_byte_enable <= "1111";
if first_packet = True then
data_write <= "0000" & std_logic_vector(to_unsigned(send_packet_length, 14)) & std_logic_vector(to_unsigned(send_id_counter, 14));
else
data_write <= "0000" & std_logic_vector(to_unsigned(send_packet_length, 14)) & std_logic_vector(to_unsigned(send_id_counter, 14));
end if;
send_counter := send_counter+1;
state := Body_flit;
elsif state = Body_flit then
-- rest of body flits
address <= reserved_address;
write_byte_enable <= "1111";
uniform(seed1, seed2, rand);
data_write <= "0000" & std_logic_vector(to_unsigned(integer(rand*1000.0), 28));
send_counter := send_counter+1;
if send_counter = send_packet_length-1 then
state := Tail_flit;
else
state := Body_flit;
end if;
elsif state = Tail_flit then
-- tail flit
address <= reserved_address;
write_byte_enable <= "1111";
if first_packet = True then
data_write <= "0000" & "0000000000000000000000000000";
first_packet := False;
else
uniform(seed1, seed2, rand);
data_write <= "0000" & std_logic_vector(to_unsigned(integer(rand*1000.0), 28));
end if;
send_counter := 0;
state := Idle;
send_id_counter := send_id_counter + 1;
if send_id_counter = 16384 then
send_id_counter := 0;
end if;
end if;
end if;
frame_counter := frame_counter + 1;
if frame_counter = frame_length then
frame_counter := 0;
uniform(seed1, seed2, rand);
frame_starting_delay := integer(((integer(rand*100.0)*(frame_length - max_packet_size)))/100);
end if;
wait until clk'event and clk ='0';
end if;
end loop;
file_close(SEND_FILE);
file_close(RECEIVED_FILE);
end NI_control;
end TB_Package;
|
package fred2 is
function hi_there return string;
end package fred2;
package body fred2 is
type line is access string;
function hi_there return string is
variable ln : line;
begin
if null = ln then -- Was error
return "Proper initial value for access type.";
else
return "Compiler error.";
end if;
end function hi_there;
end package body fred2;
|
package fred2 is
function hi_there return string;
end package fred2;
package body fred2 is
type line is access string;
function hi_there return string is
variable ln : line;
begin
if null = ln then -- Was error
return "Proper initial value for access type.";
else
return "Compiler error.";
end if;
end function hi_there;
end package body fred2;
|
package fred2 is
function hi_there return string;
end package fred2;
package body fred2 is
type line is access string;
function hi_there return string is
variable ln : line;
begin
if null = ln then -- Was error
return "Proper initial value for access type.";
else
return "Compiler error.";
end if;
end function hi_there;
end package body fred2;
|
package fred2 is
function hi_there return string;
end package fred2;
package body fred2 is
type line is access string;
function hi_there return string is
variable ln : line;
begin
if null = ln then -- Was error
return "Proper initial value for access type.";
else
return "Compiler error.";
end if;
end function hi_there;
end package body fred2;
|
package fred2 is
function hi_there return string;
end package fred2;
package body fred2 is
type line is access string;
function hi_there return string is
variable ln : line;
begin
if null = ln then -- Was error
return "Proper initial value for access type.";
else
return "Compiler error.";
end if;
end function hi_there;
end package body fred2;
|
--------------------------------------------------------------------------------
--Copyright (c) 2014, Benjamin Bässler <ccl@xunit.de>
--All rights reserved.
--
--Redistribution and use in source and binary forms, with or without
--modification, are permitted provided that the following conditions are met:
--
--* Redistributions of source code must retain the above copyright notice, this
-- list of conditions and the following disclaimer.
--
--* 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.
--
--THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
--AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
--IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
--DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER 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.
--------------------------------------------------------------------------------
--! @file labeling_box.vhd
--! @brief Connected Component Labeling two pass and computation of bound boxes
--! @author Benjamin Bässler
--! @email ccl@xunit.de
--! @date 2013-06-04
--------------------------------------------------------------------------------
--! Use standard library
library ieee;
--! Use numeric std
use IEEE.numeric_std.all;
use IEEE.std_logic_1164.all;
use work.types.all;
use work.utils.all;
--! The two pass algorithem implemented in labeling.vhd
--! will be run and the output of labels used to compute
--! the bound boxes with the boundbox.vhd.
--! The boundbox has a internal heap to store boundboxes
--! if the memory is to small the the error signal will
--! rise and the output of the boxes is incompleat
entity labeling_box is
generic(
--! Max image width means 2^...
G_MAX_IMG_WIDTH : NATURAL := C_MAX_IMAGE_WIDTH;
--! Max image width means 2^...
G_MAX_IMG_HEIGHT : NATURAL := C_MAX_IMAGE_HEIGHT
);
port(
--! Clock input
clk_in : in STD_LOGIC;
--! Reset input
rst_in : in STD_LOGIC;
--! Output if the labeling stalls
stall_out : out STD_LOGIC;
--! Input to stall the output of the labeling
stall_in : in STD_LOGIC;
--! input data are valid
data_valid_in : in STD_LOGIC;
--! Pixel input 0 => background, 1=> foreground
px_in : in STD_LOGIC;
--! width of the image at the input
img_width_in : in STD_LOGIC_VECTOR(log2_ceil(G_MAX_IMG_WIDTH) downto 0);
--! height of the image
img_height_in : in STD_LOGIC_VECTOR(log2_ceil(G_MAX_IMG_HEIGHT) downto 0);
--! High if the boundbox output valid
box_valid_out : out STD_LOGIC;
--! output of bound box upper x
box_start_x_out : out STD_LOGIC_VECTOR(log2_ceil(G_MAX_IMG_WIDTH) - 1 downto 0);
--! output of bound box upper y
box_start_y_out : out STD_LOGIC_VECTOR(log2_ceil(G_MAX_IMG_HEIGHT) - 1 downto 0);
--! output of bound box lower x
box_end_x_out : out STD_LOGIC_VECTOR(log2_ceil(G_MAX_IMG_WIDTH) - 1 downto 0);
--! output of bound box lower y
box_end_y_out : out STD_LOGIC_VECTOR(log2_ceil(G_MAX_IMG_HEIGHT) - 1 downto 0);
--! high if all boxes are computed
box_done_out : out STD_LOGIC;
--! Error Type out
error_type_out : out STD_LOGIC_VECTOR(C_ERR_REF_SIZE - 1 downto 0)
);
end entity labeling_box;
--! @brief arc description
--! @details more detailed description
architecture labeling_box_arc of labeling_box is
--! How many boxing instances should be provided
constant C_BOX_INSTANCES : NATURAL := 2;
type T_BOXES is array (C_BOX_INSTANCES - 1 downto 0) of T_BOX;
--! State machine
type T_STATE is (IDLE, LABELING, BOXES, FIFO_READ);
type T_STATES is array(C_BOX_INSTANCES - 1 downto 0) of T_STATE;
signal pipe_state : T_STATES;
signal stall_lbl_s : STD_LOGIC;
signal data_valid_lbl_s : STD_LOGIC_VECTOR(C_BOX_INSTANCES-1 downto 0);
signal valid_lbl_out_s : STD_LOGIC;
signal last_lbl_s : STD_LOGIC;
signal label_s : STD_LOGIC_VECTOR(T_LABEL'RANGE);
signal box_rst_s : STD_LOGIC_VECTOR(C_BOX_INSTANCES-1 downto 0);
signal box_done_s : STD_LOGIC_VECTOR(C_BOX_INSTANCES-1 downto 0);
signal ff_box_out_s : T_BOXES;
signal ff_box_in_s : T_BOXES;
signal ff_wr_valid_s : STD_LOGIC_VECTOR(C_BOX_INSTANCES-1 downto 0);
signal ff_rd_next_s : STD_LOGIC_VECTOR(C_BOX_INSTANCES-1 downto 0);
signal ff_empty_s : STD_LOGIC_VECTOR(C_BOX_INSTANCES-1 downto 0);
signal err_lbl_s : STD_LOGIC_VECTOR(C_BOX_INSTANCES-1 downto 0);
signal box_out_s : T_BOX;
--! instance to use for first stage input
signal use_st_1_in_s : unsigned(log2_ceil(C_BOX_INSTANCES)-1 downto 0);
signal use_st_1_out_s : unsigned(log2_ceil(C_BOX_INSTANCES)-1 downto 0);
--! which boundbox should be used for input next
signal next_input_s : unsigned(log2_ceil(C_BOX_INSTANCES)-1 downto 0);
function inst_inc (
inst : in unsigned)
return unsigned
is
variable ret_val : unsigned(log2_ceil(C_BOX_INSTANCES)-1 downto 0);
begin
if inst = C_BOX_INSTANCES - 1 then
ret_val := (others => '0');
else
ret_val := inst + 1;
end if;
return ret_val;
end function inst_inc;
begin
box_start_x_out <= STD_LOGIC_VECTOR(box_out_s(T_X_START));
box_start_y_out <= STD_LOGIC_VECTOR(box_out_s(T_Y_START));
box_end_x_out <= STD_LOGIC_VECTOR(box_out_s(T_X_END));
box_end_y_out <= STD_LOGIC_VECTOR(box_out_s(T_Y_END));
box_out_s <= ff_box_out_s(to_integer(use_st_1_out_s));
error_type_out(0) <= '0';
p_valid_out : process(clk_in) is
begin
if rising_edge(clk_in) then
if pipe_state(to_integer(use_st_1_out_s)) = FIFO_READ and
ff_empty_s(to_integer(use_st_1_out_s)) = '0'then
box_valid_out <= '1';
else
box_valid_out <= '0';
end if;
end if;
end process;
p_pipe_state : process(clk_in) is
variable next_input_sel_v : boolean;
begin
if rising_edge(clk_in) then
if rst_in = '1' then
pipe_state <= (others => IDLE);
pipe_state(0) <= LABELING;
next_input_s <= to_unsigned(1, next_input_s'length);
use_st_1_out_s <= (others => '0');
use_st_1_in_s <= (others => '0');
box_rst_s <= (others => '1');
box_done_out <= '0';
else
next_input_sel_v := false;
box_done_out <= '0';
for i in C_BOX_INSTANCES - 1 downto 0 loop
box_rst_s(i) <= '0';
case pipe_state(i) is
when IDLE =>
if next_input_s = i and last_lbl_s = '1' then
pipe_state(i) <= LABELING;
next_input_s <= inst_inc(next_input_s);
end if;
when LABELING =>
if last_lbl_s = '1' then
pipe_state(i) <= BOXES;
use_st_1_in_s <= next_input_s;
end if;
when BOXES =>
if box_done_s(i) = '1' then
pipe_state(i) <= FIFO_READ;
box_rst_s(i) <= '1';
end if;
when FIFO_READ =>
if ff_empty_s(i) = '1' then
pipe_state(i) <= IDLE;
use_st_1_out_s <= inst_inc(use_st_1_out_s);
box_done_out <= '1';
end if;
end case;
end loop;
end if; -- rst
end if; --clk
end process p_pipe_state;
my_labeling : entity work.labeling PORT MAP(
clk_in => clk_in,
rst_in => rst_in,
stall_out => stall_lbl_s,
stall_in => stall_in,
px_in => px_in,
img_width_in => img_width_in,
img_height_in => img_height_in,
data_valid_out => valid_lbl_out_s,
data_valid_in => data_valid_in,
last_lbl_out => last_lbl_s,
label_out => label_s,
error_out => error_lbl_s
);
gen_boxes : for i in C_BOX_INSTANCES - 1 downto 0 generate
boundbox : entity work.boundbox PORT MAP(
clk_in => clk_in,
rst_in => box_rst_s(i),
stall_in => stall_in,
lbl_valid_in => data_valid_lbl_s(i),
label_in => UNSIGNED(label_s),
box_valid_out => ff_wr_valid_s(i),
box_out => ff_box_in_s(i),
box_done_out => box_done_s(i),
error_out => open,
img_width_in => UNSIGNED(img_width_in),
img_height_in => UNSIGNED(img_height_in)
);
box_fifo : entity work.fifo
GENERIC MAP(
G_SIZE => G_MAX_IMG_WIDTH/2*G_MAX_IMG_HEIGHT/2,
G_WORD_WIDTH => T_BOX'LENGTH,
G_ALMOST_EMPTY => 1,
G_ALMOST_FULL => 64 - 1
)
PORT MAP(
rst_in => rst_in,
clk_in => clk_in,
wr_d_in => ff_box_in_s(i),
wr_valid_in => ff_wr_valid_s(i),
almost_full_out => open,
full_out => open,
rd_d_out => ff_box_out_s(i),
rd_next_in => ff_rd_next_s(i),
almost_empty_out => open,
empty_out => ff_empty_s(i)
);
data_valid_lbl_s(i) <= valid_lbl_out_s when i = use_st_1_in_s else '0';
ff_rd_next_s(i) <= not ff_empty_s(i) when
pipe_state(to_integer(use_st_1_out_s)) = FIFO_READ
else '0';
end generate gen_boxes;
end labeling_box_arc;
|
library ieee;
use ieee.std_logic_1164.all;
entity cmp_160 is
port (
eq : out std_logic;
in0 : in std_logic_vector(2 downto 0);
in1 : in std_logic_vector(2 downto 0)
);
end cmp_160;
architecture augh of cmp_160 is
signal tmp : std_logic;
begin
-- Compute the result
tmp <=
'0' when in0 /= in1 else
'1';
-- Set the outputs
eq <= tmp;
end architecture;
|
library ieee;
use ieee.std_logic_1164.all;
entity cmp_160 is
port (
eq : out std_logic;
in0 : in std_logic_vector(2 downto 0);
in1 : in std_logic_vector(2 downto 0)
);
end cmp_160;
architecture augh of cmp_160 is
signal tmp : std_logic;
begin
-- Compute the result
tmp <=
'0' when in0 /= in1 else
'1';
-- Set the outputs
eq <= tmp;
end architecture;
|
-- 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: tc400.vhd,v 1.2 2001-10-26 16:29:53 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c03s02b01x01p08n01i00400ent IS
END c03s02b01x01p08n01i00400ent;
ARCHITECTURE c03s02b01x01p08n01i00400arch OF c03s02b01x01p08n01i00400ent IS
type MEM is array (positive range <>) of BIT;
attribute X : MEM;
attribute X of MEM: type is ('1','0','1') ; -- No_failure_here
BEGIN
TESTING: PROCESS
BEGIN
assert NOT(MEM'X(1)='1' and MEM'X(2)='0' and MEM'X(3)='1')
report "***PASSED TEST: c03s02b01x01p08n01i00400"
severity NOTE;
assert (MEM'X(1)='1' and MEM'X(2)='0' and MEM'X(3)='1')
report "***FAILED TEST: c03s02b01x01p08n01i00400 - "
severity ERROR;
wait;
END PROCESS TESTING;
END c03s02b01x01p08n01i00400arch;
|
-- 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: tc400.vhd,v 1.2 2001-10-26 16:29:53 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c03s02b01x01p08n01i00400ent IS
END c03s02b01x01p08n01i00400ent;
ARCHITECTURE c03s02b01x01p08n01i00400arch OF c03s02b01x01p08n01i00400ent IS
type MEM is array (positive range <>) of BIT;
attribute X : MEM;
attribute X of MEM: type is ('1','0','1') ; -- No_failure_here
BEGIN
TESTING: PROCESS
BEGIN
assert NOT(MEM'X(1)='1' and MEM'X(2)='0' and MEM'X(3)='1')
report "***PASSED TEST: c03s02b01x01p08n01i00400"
severity NOTE;
assert (MEM'X(1)='1' and MEM'X(2)='0' and MEM'X(3)='1')
report "***FAILED TEST: c03s02b01x01p08n01i00400 - "
severity ERROR;
wait;
END PROCESS TESTING;
END c03s02b01x01p08n01i00400arch;
|
-- 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: tc400.vhd,v 1.2 2001-10-26 16:29:53 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c03s02b01x01p08n01i00400ent IS
END c03s02b01x01p08n01i00400ent;
ARCHITECTURE c03s02b01x01p08n01i00400arch OF c03s02b01x01p08n01i00400ent IS
type MEM is array (positive range <>) of BIT;
attribute X : MEM;
attribute X of MEM: type is ('1','0','1') ; -- No_failure_here
BEGIN
TESTING: PROCESS
BEGIN
assert NOT(MEM'X(1)='1' and MEM'X(2)='0' and MEM'X(3)='1')
report "***PASSED TEST: c03s02b01x01p08n01i00400"
severity NOTE;
assert (MEM'X(1)='1' and MEM'X(2)='0' and MEM'X(3)='1')
report "***FAILED TEST: c03s02b01x01p08n01i00400 - "
severity ERROR;
wait;
END PROCESS TESTING;
END c03s02b01x01p08n01i00400arch;
|
--------------------------------------------------------------------------------
--
-- FIFO Generator Core - core top file for implementation
--
--------------------------------------------------------------------------------
--
-- (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: system_axi_vdma_0_wrapper_fifo_generator_v9_3_3_exdes.vhd
--
-- Description:
-- This is the FIFO core wrapper with BUFG instances for clock connections.
--
--------------------------------------------------------------------------------
-- Library Declarations
--------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_arith.all;
use ieee.std_logic_unsigned.all;
library unisim;
use unisim.vcomponents.all;
--------------------------------------------------------------------------------
-- Entity Declaration
--------------------------------------------------------------------------------
entity system_axi_vdma_0_wrapper_fifo_generator_v9_3_3_exdes is
PORT (
CLK : IN std_logic;
DATA_COUNT : OUT std_logic_vector(7-1 DOWNTO 0);
WR_ACK : OUT std_logic;
VALID : OUT std_logic;
ALMOST_EMPTY : OUT std_logic;
SRST : IN std_logic;
WR_EN : IN std_logic;
RD_EN : IN std_logic;
DIN : IN std_logic_vector(74-1 DOWNTO 0);
DOUT : OUT std_logic_vector(74-1 DOWNTO 0);
FULL : OUT std_logic;
EMPTY : OUT std_logic);
end system_axi_vdma_0_wrapper_fifo_generator_v9_3_3_exdes;
architecture xilinx of system_axi_vdma_0_wrapper_fifo_generator_v9_3_3_exdes is
signal clk_i : std_logic;
component system_axi_vdma_0_wrapper_fifo_generator_v9_3_3 is
PORT (
CLK : IN std_logic;
DATA_COUNT : OUT std_logic_vector(7-1 DOWNTO 0);
WR_ACK : OUT std_logic;
VALID : OUT std_logic;
ALMOST_EMPTY : OUT std_logic;
SRST : IN std_logic;
WR_EN : IN std_logic;
RD_EN : IN std_logic;
DIN : IN std_logic_vector(74-1 DOWNTO 0);
DOUT : OUT std_logic_vector(74-1 DOWNTO 0);
FULL : OUT std_logic;
EMPTY : OUT std_logic);
end component;
begin
clk_buf: bufg
PORT map(
i => CLK,
o => clk_i
);
exdes_inst : system_axi_vdma_0_wrapper_fifo_generator_v9_3_3
PORT MAP (
CLK => clk_i,
DATA_COUNT => data_count,
WR_ACK => wr_ack,
VALID => valid,
ALMOST_EMPTY => almost_empty,
SRST => srst,
WR_EN => wr_en,
RD_EN => rd_en,
DIN => din,
DOUT => dout,
FULL => full,
EMPTY => empty);
end xilinx;
|
-----------------------------------------------------------------------------
-- LEON3 Demonstration design test bench configuration
-- Copyright (C) 2009 Aeroflex Gaisler
------------------------------------------------------------------------------
library techmap;
use techmap.gencomp.all;
package config is
-- Technology and synthesis options
constant CFG_FABTECH : integer := stratix2;
constant CFG_MEMTECH : integer := stratix2;
constant CFG_PADTECH : integer := stratix2;
constant CFG_TRANSTECH : integer := GTP0;
constant CFG_NOASYNC : integer := 0;
constant CFG_SCAN : integer := 0;
-- Clock generator
constant CFG_CLKTECH : integer := stratix2;
constant CFG_CLKMUL : integer := (5);
constant CFG_CLKDIV : integer := (5);
constant CFG_OCLKDIV : integer := 1;
constant CFG_OCLKBDIV : integer := 0;
constant CFG_OCLKCDIV : integer := 0;
constant CFG_PCIDLL : integer := 0;
constant CFG_PCISYSCLK: integer := 0;
constant CFG_CLK_NOFB : integer := 0;
-- LEON3 processor core
constant CFG_LEON3 : integer := 1;
constant CFG_NCPU : integer := (1);
constant CFG_NWIN : integer := (8);
constant CFG_V8 : integer := 16#32# + 4*0;
constant CFG_MAC : integer := 0;
constant CFG_BP : integer := 1;
constant CFG_SVT : integer := 1;
constant CFG_RSTADDR : integer := 16#00000#;
constant CFG_LDDEL : integer := (1);
constant CFG_NOTAG : integer := 0;
constant CFG_NWP : integer := (2);
constant CFG_PWD : integer := 1*2;
constant CFG_FPU : integer := 0 + 16*0 + 32*0;
constant CFG_GRFPUSH : integer := 0;
constant CFG_ICEN : integer := 1;
constant CFG_ISETS : integer := 2;
constant CFG_ISETSZ : integer := 4;
constant CFG_ILINE : integer := 8;
constant CFG_IREPL : integer := 2;
constant CFG_ILOCK : integer := 0;
constant CFG_ILRAMEN : integer := 0;
constant CFG_ILRAMADDR: integer := 16#8E#;
constant CFG_ILRAMSZ : integer := 1;
constant CFG_DCEN : integer := 1;
constant CFG_DSETS : integer := 1;
constant CFG_DSETSZ : integer := 4;
constant CFG_DLINE : integer := 4;
constant CFG_DREPL : integer := 0;
constant CFG_DLOCK : integer := 0;
constant CFG_DSNOOP : integer := 0*2 + 4*0;
constant CFG_DFIXED : integer := 16#0#;
constant CFG_DLRAMEN : integer := 0;
constant CFG_DLRAMADDR: integer := 16#8F#;
constant CFG_DLRAMSZ : integer := 1;
constant CFG_MMUEN : integer := 0;
constant CFG_ITLBNUM : integer := 2;
constant CFG_DTLBNUM : integer := 2;
constant CFG_TLB_TYPE : integer := 1 + 0*2;
constant CFG_TLB_REP : integer := 1;
constant CFG_MMU_PAGE : integer := 0;
constant CFG_DSU : integer := 1;
constant CFG_ITBSZ : integer := 2 + 64*0;
constant CFG_ATBSZ : integer := 2;
constant CFG_AHBPF : integer := 0;
constant CFG_LEON3FT_EN : integer := 0;
constant CFG_IUFT_EN : integer := 0;
constant CFG_FPUFT_EN : integer := 0;
constant CFG_RF_ERRINJ : integer := 0;
constant CFG_CACHE_FT_EN : integer := 0;
constant CFG_CACHE_ERRINJ : integer := 0;
constant CFG_LEON3_NETLIST: integer := 0;
constant CFG_DISAS : integer := 0 + 0;
constant CFG_PCLOW : integer := 2;
constant CFG_NP_ASI : integer := 0;
constant CFG_WRPSR : integer := 0;
-- AMBA settings
constant CFG_DEFMST : integer := (0);
constant CFG_RROBIN : integer := 1;
constant CFG_SPLIT : integer := 0;
constant CFG_FPNPEN : integer := 0;
constant CFG_AHBIO : integer := 16#FFF#;
constant CFG_APBADDR : integer := 16#800#;
constant CFG_AHB_MON : integer := 0;
constant CFG_AHB_MONERR : integer := 0;
constant CFG_AHB_MONWAR : integer := 0;
constant CFG_AHB_DTRACE : integer := 0;
-- DSU UART
constant CFG_AHB_UART : integer := 1;
-- JTAG based DSU interface
constant CFG_AHB_JTAG : integer := 1;
-- SDRAM controller
constant CFG_SDCTRL : integer := 1;
constant CFG_SDCTRL_INVCLK : integer := 0;
constant CFG_SDCTRL_SD64 : integer := 0;
constant CFG_SDCTRL_PAGE : integer := 0 + 0;
-- LEON2 memory controller
constant CFG_MCTRL_LEON2 : integer := 1;
constant CFG_MCTRL_RAM8BIT : integer := 1;
constant CFG_MCTRL_RAM16BIT : integer := 0;
constant CFG_MCTRL_5CS : integer := 0;
constant CFG_MCTRL_SDEN : integer := 0;
constant CFG_MCTRL_SEPBUS : integer := 0;
constant CFG_MCTRL_INVCLK : integer := 0;
constant CFG_MCTRL_SD64 : integer := 0;
constant CFG_MCTRL_PAGE : integer := 0 + 0;
-- AHB status register
constant CFG_AHBSTAT : integer := 1;
constant CFG_AHBSTATN : integer := (1);
-- AHB RAM
constant CFG_AHBRAMEN : integer := 0;
constant CFG_AHBRSZ : integer := 1;
constant CFG_AHBRADDR : integer := 16#A00#;
constant CFG_AHBRPIPE : integer := 0;
-- UART 1
constant CFG_UART1_ENABLE : integer := 1;
constant CFG_UART1_FIFO : integer := 4;
-- LEON3 interrupt controller
constant CFG_IRQ3_ENABLE : integer := 1;
constant CFG_IRQ3_NSEC : integer := 0;
-- Modular timer
constant CFG_GPT_ENABLE : integer := 1;
constant CFG_GPT_NTIM : integer := (2);
constant CFG_GPT_SW : integer := (16);
constant CFG_GPT_TW : integer := (32);
constant CFG_GPT_IRQ : integer := (8);
constant CFG_GPT_SEPIRQ : integer := 1;
constant CFG_GPT_WDOGEN : integer := 0;
constant CFG_GPT_WDOG : integer := 16#0#;
-- GPIO port
constant CFG_GRGPIO_ENABLE : integer := 1;
constant CFG_GRGPIO_IMASK : integer := 16#fe#;
constant CFG_GRGPIO_WIDTH : integer := (32);
-- Second GPIO port
constant CFG_GRGPIO2_ENABLE : integer := 1;
constant CFG_GRGPIO2_IMASK : integer := 16#fe#;
constant CFG_GRGPIO2_WIDTH : integer := (32);
-- VGA and PS2/ interface
constant CFG_KBD_ENABLE : integer := 1;
constant CFG_VGA_ENABLE : integer := 0;
constant CFG_SVGA_ENABLE : integer := 1;
-- GRLIB debugging
constant CFG_DUART : integer := 0;
end;
|
-- utils_pkg.vhd
-- Jan Viktorin <xvikto03@stud.fit.vutbr.cz>
-- Copyright (C) 2011, 2012 Jan Viktorin
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_arith.all;
use ieee.std_logic_unsigned.all;
package utils_pkg is
constant IPIF_RO : integer := 0;
constant IPIF_WO : integer := 1;
constant IPIF_RW : integer := 2;
function width_of_be(dwidth : in integer) return integer;
end package;
package body utils_pkg is
function width_of_be(dwidth : in integer) return integer is
variable bwidth : integer;
variable brest : integer;
begin
assert dwidth > 0
report "Invalid dwidth, must be greater then zero"
severity failure;
brest := dwidth mod 8;
if brest = 0 then
bwidth := dwidth / 8;
else
bwidth := dwidth / 8 + 1;
end if;
return bwidth;
end function;
end package body;
|
-- Automatically generated: write_netlist -wrapapp -vhdl -module reconflogic-wrapadt7410.vhd
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
entity MyReconfigLogic is
port (
Reset_n_i : in std_logic;
Clk_i : in std_logic;
AdcConvComplete_i : in std_logic;
AdcDoConvert_o : out std_logic;
AdcValue_i : in std_logic_vector(9 downto 0);
I2C_Busy_i : in std_logic;
I2C_DataIn_o : out std_logic_vector(7 downto 0);
I2C_DataOut_i : in std_logic_vector(7 downto 0);
I2C_Divider800_o : out std_logic_vector(15 downto 0);
I2C_ErrAckParam_o : out std_logic;
I2C_Error_i : in std_logic;
I2C_F100_400_n_o : out std_logic;
I2C_FIFOEmpty_i : in std_logic;
I2C_FIFOFull_i : in std_logic;
I2C_FIFOReadNext_o : out std_logic;
I2C_FIFOWrite_o : out std_logic;
I2C_ReadCount_o : out std_logic_vector(3 downto 0);
I2C_ReceiveSend_n_o : out std_logic;
I2C_StartProcess_o : out std_logic;
Inputs_i : in std_logic_vector(7 downto 0);
Outputs_o : out std_logic_vector(7 downto 0);
ReconfModuleIRQs_o : out std_logic_vector(4 downto 0);
SPI_CPHA_o : out std_logic;
SPI_CPOL_o : out std_logic;
SPI_DataIn_o : out std_logic_vector(7 downto 0);
SPI_DataOut_i : in std_logic_vector(7 downto 0);
SPI_FIFOEmpty_i : in std_logic;
SPI_FIFOFull_i : in std_logic;
SPI_LSBFE_o : out std_logic;
SPI_ReadNext_o : out std_logic;
SPI_SPPR_SPR_o : out std_logic_vector(7 downto 0);
SPI_Transmission_i : in std_logic;
SPI_Write_o : out std_logic;
ReconfModuleIn_i : in std_logic_vector(7 downto 0);
ReconfModuleOut_o : out std_logic_vector(7 downto 0);
I2C_Errors_i : in std_logic_vector(7 downto 0);
PerAddr_i : in std_logic_vector(13 downto 0);
PerDIn_i : in std_logic_vector(15 downto 0);
PerWr_i : in std_logic_vector(1 downto 0);
PerEn_i : in std_logic;
CfgIntfDOut_o : out std_logic_vector(15 downto 0);
ParamIntfDOut_o : out std_logic_vector(15 downto 0)
);
end MyReconfigLogic;
architecture WrapADT7410 of MyReconfigLogic is
component ADT7410
port (
Reset_n_i : in std_logic;
Clk_i : in std_logic;
Enable_i : in std_logic;
CpuIntr_o : out std_logic;
I2C_ReceiveSend_n_o : out std_logic;
I2C_ReadCount_o : out std_logic_vector(7 downto 0);
I2C_StartProcess_o : out std_logic;
I2C_Busy_i : in std_logic;
I2C_FIFOReadNext_o : out std_logic;
I2C_FIFOWrite_o : out std_logic;
I2C_Data_o : out std_logic_vector(7 downto 0);
I2C_Data_i : in std_logic_vector(7 downto 0);
I2C_Error_i : in std_logic;
PeriodCounterPreset_i : in std_logic_vector(15 downto 0);
SensorValue_o : out std_logic_vector(15 downto 0);
Threshold_i : in std_logic_vector(15 downto 0);
WaitCounterPreset_i : in std_logic_vector(15 downto 0)
);
end component;
component CfgIntf
generic (
-- Number of configuration chains
NumCfgs : integer := 3;
BaseAddr : integer := 16#0180#
);
port (
Reset_n_i : in std_logic;
Clk_i : in std_logic;
-- OpenMSP430 Interface
PerAddr_i : in std_logic_vector(13 downto 0);
PerDIn_i : in std_logic_vector(15 downto 0);
PerDOut_o : out std_logic_vector(15 downto 0);
PerWr_i : in std_logic_vector(1 downto 0);
PerEn_i : in std_logic;
CfgClk_o : out std_logic_vector(NumCfgs-1 downto 0);
CfgMode_o : out std_logic;
CfgShift_o : out std_logic_vector(NumCfgs-1 downto 0);
CfgDataOut_o : out std_logic;
CfgDataIn_i : in std_logic_vector(NumCfgs-1 downto 0)
);
end component;
component ParamIntf
generic (
WrAddrWidth : integer range 1 to 15 := 4;
RdAddrWidth : integer range 1 to 15 := 4;
BaseAddr : integer := 16#0180#
);
port (
Reset_n_i : in std_logic;
Clk_i : in std_logic;
-- OpenMSP430 Interface
PerAddr_i : in std_logic_vector(13 downto 0);
PerDIn_i : in std_logic_vector(15 downto 0);
PerDOut_o : out std_logic_vector(15 downto 0);
PerWr_i : in std_logic_vector(1 downto 0);
PerEn_i : in std_logic;
-- Param Out
ParamWrAddr_o : out std_logic_vector(WrAddrWidth-1 downto 0);
ParamWrData_o : out std_logic_vector(15 downto 0);
ParamWr_o : out std_logic;
-- Param In
ParamRdAddr_o : out std_logic_vector(RdAddrWidth-1 downto 0);
ParamRdData_i : in std_logic_vector(15 downto 0)
);
end component;
component ParamOutReg
generic (
Width : integer := 16
);
port (
Reset_n_i : in std_logic;
Clk_i : in std_logic;
Enable_i : in std_logic;
ParamWrData_i : in std_logic_vector(Width-1 downto 0);
Param_o : out std_logic_vector(Width-1 downto 0)
);
end component;
signal I2C_ReadCount_s : std_logic_vector(7 downto 0);
signal PeriodCounterPreset_s : std_logic_vector(15 downto 0);
signal SensorValue_s : std_logic_vector(15 downto 0);
signal Threshold_s : std_logic_vector(15 downto 0);
signal WaitCounterPreset_s : std_logic_vector(15 downto 0);
signal CfgClk_s : std_logic_vector(0 downto 0);
signal CfgMode_s : std_logic;
signal CfgShift_s : std_logic_vector(0 downto 0);
signal CfgDataOut_s : std_logic;
signal CfgDataIn_s : std_logic_vector(0 downto 0);
signal ParamWrAddr_s : std_logic_vector(2 downto 0);
signal ParamWrData_s : std_logic_vector(15 downto 0);
signal ParamWr_s : std_logic;
signal ParamRdAddr_s : std_logic_vector(0 downto 0);
signal ParamRdData_s : std_logic_vector(15 downto 0);
type Params_t is array(0 to 1) of std_logic_vector(15 downto 0);
signal Params_s : Params_t;
signal I2C_ErrAckParam_s : std_logic_vector(0 downto 0);
signal ParamI2C_Divider800Enable_s : std_logic;
signal ParamI2C_ErrAckParamEnable_s : std_logic;
signal ParamPeriodCounterPresetEnable_s : std_logic;
signal ParamThresholdEnable_s : std_logic;
signal ParamWaitCounterPresetEnable_s : std_logic;
begin
-- Configuration Interface
CfgIntf_0: CfgIntf
generic map (
BaseAddr => 16#0180#,
NumCfgs => 1
)
port map (
Reset_n_i => Reset_n_i,
Clk_i => Clk_i,
PerAddr_i => PerAddr_i,
PerDIn_i => PerDIn_i,
PerDOut_o => CfgIntfDOut_o,
PerWr_i => PerWr_i,
PerEn_i => PerEn_i,
CfgClk_o => CfgClk_s,
CfgMode_o => CfgMode_s,
CfgShift_o => CfgShift_s,
CfgDataOut_o => CfgDataOut_s,
CfgDataIn_i => CfgDataIn_s
);
-- Parameterization Interface: 5 write addresses, 2 read addresses
ParamIntf_0: ParamIntf
generic map (
BaseAddr => 16#0188#,
WrAddrWidth => 3,
RdAddrWidth => 1
)
port map (
Reset_n_i => Reset_n_i,
Clk_i => Clk_i,
PerAddr_i => PerAddr_i,
PerDIn_i => PerDIn_i,
PerDOut_o => ParamIntfDOut_o,
PerWr_i => PerWr_i,
PerEn_i => PerEn_i,
ParamWrAddr_o => ParamWrAddr_s,
ParamWrData_o => ParamWrData_s,
ParamWr_o => ParamWr_s,
ParamRdAddr_o => ParamRdAddr_s,
ParamRdData_i => ParamRdData_s
);
ADT7410_0: ADT7410
port map (
I2C_Busy_i => I2C_Busy_i,
I2C_Data_o => I2C_DataIn_o,
I2C_Data_i => I2C_DataOut_i,
I2C_Error_i => I2C_Error_i,
I2C_FIFOReadNext_o => I2C_FIFOReadNext_o,
I2C_FIFOWrite_o => I2C_FIFOWrite_o,
I2C_ReadCount_o => I2C_ReadCount_s,
I2C_ReceiveSend_n_o => I2C_ReceiveSend_n_o,
I2C_StartProcess_o => I2C_StartProcess_o,
CpuIntr_o => ReconfModuleIRQs_o(0),
Enable_i => ReconfModuleIn_i(0),
Clk_i => Clk_i,
Reset_n_i => Reset_n_i,
PeriodCounterPreset_i => PeriodCounterPreset_s,
SensorValue_o => SensorValue_s,
Threshold_i => Threshold_s,
WaitCounterPreset_i => WaitCounterPreset_s
);
AdcDoConvert_o <= '0';
I2C_F100_400_n_o <= '1';
I2C_ReadCount_o <= I2C_ReadCount_s(3 downto 0);
Outputs_o(0) <= '0';
Outputs_o(1) <= '0';
Outputs_o(2) <= '0';
Outputs_o(3) <= '0';
Outputs_o(4) <= '0';
Outputs_o(5) <= '0';
Outputs_o(6) <= '0';
Outputs_o(7) <= '0';
ReconfModuleIRQs_o(1) <= '0';
ReconfModuleIRQs_o(2) <= '0';
ReconfModuleIRQs_o(3) <= '0';
ReconfModuleIRQs_o(4) <= '0';
SPI_CPHA_o <= '0';
SPI_CPOL_o <= '0';
SPI_DataIn_o <= "00000000";
SPI_LSBFE_o <= '0';
SPI_ReadNext_o <= '0';
SPI_SPPR_SPR_o <= "00000000";
SPI_Write_o <= '0';
ReconfModuleOut_o(0) <= '0';
ReconfModuleOut_o(1) <= '0';
ReconfModuleOut_o(2) <= '0';
ReconfModuleOut_o(3) <= '0';
ReconfModuleOut_o(4) <= '0';
ReconfModuleOut_o(5) <= '0';
ReconfModuleOut_o(6) <= '0';
ReconfModuleOut_o(7) <= '0';
-- just a fixed value for the config interface
CfgDataIn_s <= "0";
-- Param read address decoder
-- Synthesis: Accept undefined behavior if ParamRdAddr_s >= NumParams and
-- hope that the synthesis optimizes the MUX
-- Simulation: ModelSim complains "Fatal: (vsim-3421) Value x is out of range
-- 0 to n.", even during param write cycles, because ParamRdAddr has the
-- source as ParamWrAddr. Use the parameter "-noindexcheck" during
-- compilation ("vcom"). Simulation works fine then, but ModelSim generates
-- numerous "INTERNAL ERROR"s to stdout, which seem harmless.
ParamRdData_s <= Params_s(to_integer(unsigned(ParamRdAddr_s)));
ParamOutReg_I2C_Divider800: ParamOutReg
generic map (
Width => 16
)
port map (
Reset_n_i => Reset_n_i,
Clk_i => Clk_i,
Param_o => I2C_Divider800_o,
Enable_i => ParamI2C_Divider800Enable_s,
ParamWrData_i => ParamWrData_s
);
ParamOutReg_I2C_ErrAckParam: ParamOutReg
generic map (
Width => 1
)
port map (
Reset_n_i => Reset_n_i,
Clk_i => Clk_i,
Param_o => I2C_ErrAckParam_s,
Enable_i => ParamI2C_ErrAckParamEnable_s,
ParamWrData_i => ParamWrData_s(0 downto 0)
);
ParamOutReg_PeriodCounterPreset: ParamOutReg
generic map (
Width => 16
)
port map (
Reset_n_i => Reset_n_i,
Clk_i => Clk_i,
Param_o => PeriodCounterPreset_s,
Enable_i => ParamPeriodCounterPresetEnable_s,
ParamWrData_i => ParamWrData_s
);
ParamOutReg_Threshold: ParamOutReg
generic map (
Width => 16
)
port map (
Reset_n_i => Reset_n_i,
Clk_i => Clk_i,
Param_o => Threshold_s,
Enable_i => ParamThresholdEnable_s,
ParamWrData_i => ParamWrData_s
);
ParamOutReg_WaitCounterPreset: ParamOutReg
generic map (
Width => 16
)
port map (
Reset_n_i => Reset_n_i,
Clk_i => Clk_i,
Param_o => WaitCounterPreset_s,
Enable_i => ParamWaitCounterPresetEnable_s,
ParamWrData_i => ParamWrData_s
);
I2C_ErrAckParam_o <= I2C_ErrAckParam_s(0);
-- Address $00
Params_s(0) <= "00000000" & I2C_Errors_i;
-- Address $01
Params_s(1) <= SensorValue_s;
-- Address $00
ParamI2C_Divider800Enable_s <= ParamWr_s when ParamWrAddr_s = "000" else
'0';
-- Address $01
ParamI2C_ErrAckParamEnable_s <= ParamWr_s when ParamWrAddr_s = "001" else
'0';
-- Address $02
ParamPeriodCounterPresetEnable_s <= ParamWr_s when ParamWrAddr_s = "010" else
'0';
-- Address $03
ParamThresholdEnable_s <= ParamWr_s when ParamWrAddr_s = "011" else
'0';
-- Address $04
ParamWaitCounterPresetEnable_s <= ParamWr_s when ParamWrAddr_s = "100" else
'0';
end WrapADT7410;
|
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.NUMERIC_STD.all;
entity rng is
port ( output: out std_logic_vector(31 downto 0);
clk: in std_logic;
seed_btn: in std_logic);
end rng;
architecture Behavioral of rng is
signal r1,r2,r3,r4,r_out: std_logic_vector(31 downto 0) := x"00000000";
signal clk_cnt:integer range 0 to 65536 :=0;
signal rnd_begin: std_logic :='0';
begin
process(clk)
begin
if rising_edge(clk) then
if clk_cnt=65535 then
clk_cnt<=0;
end if;
clk_cnt<=clk_cnt+1;
end if;
if rnd_begin='1' then
r_out<=r4;
r4<=r3;
r3<=r2;
r2<=r1;
r1<= ((r2(11 downto 0) & x"00000") xor (x"0000" & r3(31 downto 16))) xor ((r4(21 downto 0) & "0000000000") xor ("000000" & r_out(31 downto 6))) ;
output<=r_out;
elsif rnd_begin='0' then
r4<= std_logic_vector(to_unsigned(clk_cnt,16)) & std_logic_vector(to_unsigned(clk_cnt,16));
r3<= x"D3C4B5A6";
r2<= x"19202122";
r1<= x"184674A2";
end if;
end process;
process(seed_btn)
begin
if rising_edge(seed_btn) then
rnd_begin<='1';
end if;
end process;
end Behavioral;
|
--------------------------------------------------------------------------------
--This file is part of fpga_gpib_controller.
--
-- Fpga_gpib_controller is free software: you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation, either version 3 of the License, or
-- (at your option) any later version.
--
-- Fpga_gpib_controller is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
-- You should have received a copy of the GNU General Public License
-- along with Fpga_gpib_controller. If not, see <http://www.gnu.org/licenses/>.
--------------------------------------------------------------------------------
-- Entity: InterruptGenerator
-- Date:2011-11-25
-- Author: Andrzej Paluch
--
-- Description ${cursor}
--------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
use work.helperComponents.all;
entity InterruptGenerator is
port (
reset : std_logic;
clk : in std_logic;
interrupt : out std_logic;
-------------------- gpib device ---------------------
-- device is local controlled
isLocal : in std_logic;
-- input buffer ready
in_buf_ready : in std_logic;
-- output buffer ready
out_buf_ready : in std_logic;
-- clear device (DC)
clr : in std_logic;
-- trigger device (DT)
trg : in std_logic;
-- addressed to talk(L or LE)
att : in std_logic;
-- addressed to listen (T or TE)
atl : in std_logic;
-- seriall poll active
spa : in std_logic;
-------------------- gpib controller ---------------------
-- controller write commands
cwrc : in std_logic;
-- controller write data
cwrd : in std_logic;
-- service requested
srq : in std_logic;
-- parallel poll ready
ppr : in std_logic;
-- stb received
stb_received : in std_logic;
REN : in std_logic;
ATN : in std_logic;
IFC : in std_logic
);
end InterruptGenerator;
architecture arch of InterruptGenerator is
constant PULSE_WIDTH : integer := 10;
signal p0, p1, p2, p3, p4, p5, p6, p7 : std_logic;
begin
interrupt <= p0 or p1 or p2 or p3 or p4 or p5 or p6 or p7;
ed0: EdgeDetector generic map (RISING => '1', FALLING => '0',
PULSE_WIDTH => PULSE_WIDTH) port map (
reset => reset, clk => clk, in_data => in_buf_ready, pulse => p0
);
ed1: EdgeDetector generic map (RISING => '1', FALLING => '0',
PULSE_WIDTH => PULSE_WIDTH) port map (
reset => reset, clk => clk, in_data => out_buf_ready, pulse => p1
);
ed2: EdgeDetector generic map (RISING => '1', FALLING => '0',
PULSE_WIDTH => PULSE_WIDTH) port map (
reset => reset, clk => clk, in_data => clr, pulse => p2
);
ed3: EdgeDetector generic map (RISING => '1', FALLING => '0',
PULSE_WIDTH => PULSE_WIDTH) port map (
reset => reset, clk => clk, in_data => trg, pulse => p3
);
ed4: EdgeDetector generic map (RISING => '1', FALLING => '0',
PULSE_WIDTH => PULSE_WIDTH) port map (
reset => reset, clk => clk, in_data => srq, pulse => p4
);
ed5: EdgeDetector generic map (RISING => '1', FALLING => '0',
PULSE_WIDTH => PULSE_WIDTH) port map (
reset => reset, clk => clk, in_data => ppr, pulse => p5
);
ed6: EdgeDetector generic map (RISING => '1', FALLING => '0',
PULSE_WIDTH => PULSE_WIDTH) port map (
reset => reset, clk => clk, in_data => stb_received, pulse => p6
);
ed7: EdgeDetector generic map (RISING => '1', FALLING => '1',
PULSE_WIDTH => PULSE_WIDTH) port map (
reset => reset, clk => clk, in_data => isLocal, pulse => p7
);
end arch;
|
--------------------------------------------------------------------------------
--
-- 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: fg_tb_pctrl.vhd
--
-- Description:
-- Used for protocol control on write and read interface stimulus and status generation
--
--------------------------------------------------------------------------------
-- Library Declarations
--------------------------------------------------------------------------------
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.std_logic_unsigned.all;
USE IEEE.std_logic_arith.all;
USE IEEE.std_logic_misc.all;
LIBRARY work;
USE work.fg_tb_pkg.ALL;
ENTITY fg_tb_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 ENTITY;
ARCHITECTURE fg_pc_arch OF fg_tb_pctrl IS
CONSTANT C_DATA_WIDTH : INTEGER := if_then_else(C_DIN_WIDTH > C_DOUT_WIDTH,C_DIN_WIDTH,C_DOUT_WIDTH);
CONSTANT LOOP_COUNT : INTEGER := divroundup(C_DATA_WIDTH,8);
CONSTANT D_WIDTH_DIFF : INTEGER := log2roundup(C_DIN_WIDTH/C_DOUT_WIDTH);
SIGNAL data_chk_i : STD_LOGIC := if_then_else(C_CH_TYPE /= 2,'1','0');
SIGNAL full_chk_i : STD_LOGIC := if_then_else(C_CH_TYPE /= 2,'1','0');
SIGNAL empty_chk_i : STD_LOGIC := if_then_else(C_CH_TYPE /= 2,'1','0');
SIGNAL status_i : STD_LOGIC_VECTOR(4 DOWNTO 0):= (OTHERS => '0');
SIGNAL status_d1_i : STD_LOGIC_VECTOR(4 DOWNTO 0):= (OTHERS => '0');
SIGNAL wr_en_gen : STD_LOGIC_VECTOR(7 DOWNTO 0):= (OTHERS => '0');
SIGNAL rd_en_gen : STD_LOGIC_VECTOR(7 DOWNTO 0):= (OTHERS => '0');
SIGNAL wr_cntr : STD_LOGIC_VECTOR(C_WR_PNTR_WIDTH-2 DOWNTO 0) := (OTHERS => '0');
SIGNAL full_as_timeout : STD_LOGIC_VECTOR(C_WR_PNTR_WIDTH DOWNTO 0) := (OTHERS => '0');
SIGNAL full_ds_timeout : STD_LOGIC_VECTOR(C_WR_PNTR_WIDTH DOWNTO 0) := (OTHERS => '0');
SIGNAL rd_cntr : STD_LOGIC_VECTOR(C_RD_PNTR_WIDTH-2 DOWNTO 0) := (OTHERS => '0');
SIGNAL empty_as_timeout : STD_LOGIC_VECTOR(C_RD_PNTR_WIDTH DOWNTO 0) := (OTHERS => '0');
SIGNAL empty_ds_timeout : STD_LOGIC_VECTOR(C_RD_PNTR_WIDTH DOWNTO 0):= (OTHERS => '0');
SIGNAL wr_en_i : STD_LOGIC := '0';
SIGNAL rd_en_i : STD_LOGIC := '0';
SIGNAL state : STD_LOGIC := '0';
SIGNAL wr_control : STD_LOGIC := '0';
SIGNAL rd_control : STD_LOGIC := '0';
SIGNAL stop_on_err : STD_LOGIC := '0';
SIGNAL sim_stop_cntr : STD_LOGIC_VECTOR(7 DOWNTO 0):= conv_std_logic_vector(if_then_else(C_CH_TYPE=2,64,TB_STOP_CNT),8);
SIGNAL sim_done_i : STD_LOGIC := '0';
SIGNAL reset_ex1 : STD_LOGIC := '0';
SIGNAL reset_ex2 : STD_LOGIC := '0';
SIGNAL reset_ex3 : STD_LOGIC := '0';
SIGNAL ae_chk_i : STD_LOGIC := if_then_else(C_CH_TYPE /= 2,'1','0');
SIGNAL af_chk_i : STD_LOGIC := if_then_else(C_CH_TYPE /= 2,'1','0');
SIGNAL rdw_gt_wrw : STD_LOGIC_VECTOR(D_WIDTH_DIFF-1 DOWNTO 0) := (OTHERS => '1');
SIGNAL wrw_gt_rdw : STD_LOGIC_VECTOR(D_WIDTH_DIFF-1 DOWNTO 0) := (OTHERS => '1');
SIGNAL rd_activ_cont : STD_LOGIC_VECTOR(25 downto 0):= (OTHERS => '0');
SIGNAL prc_we_i : STD_LOGIC := '0';
SIGNAL prc_re_i : STD_LOGIC := '0';
SIGNAL reset_en_i : STD_LOGIC := '0';
SIGNAL sim_done_d1 : STD_LOGIC := '0';
SIGNAL sim_done_wr1 : STD_LOGIC := '0';
SIGNAL sim_done_wr2 : STD_LOGIC := '0';
SIGNAL empty_d1 : STD_LOGIC := '0';
SIGNAL empty_wr_dom1 : STD_LOGIC := '0';
SIGNAL state_d1 : STD_LOGIC := '0';
SIGNAL state_rd_dom1 : STD_LOGIC := '0';
SIGNAL rd_en_d1 : STD_LOGIC := '0';
SIGNAL rd_en_wr1 : STD_LOGIC := '0';
SIGNAL wr_en_d1 : STD_LOGIC := '0';
SIGNAL wr_en_rd1 : STD_LOGIC := '0';
SIGNAL full_chk_d1 : STD_LOGIC := '0';
SIGNAL full_chk_rd1 : STD_LOGIC := '0';
SIGNAL empty_wr_dom2 : STD_LOGIC := '0';
SIGNAL state_rd_dom2 : STD_LOGIC := '0';
SIGNAL state_rd_dom3 : STD_LOGIC := '0';
SIGNAL rd_en_wr2 : STD_LOGIC := '0';
SIGNAL wr_en_rd2 : STD_LOGIC := '0';
SIGNAL full_chk_rd2 : STD_LOGIC := '0';
SIGNAL reset_en_d1 : STD_LOGIC := '0';
SIGNAL reset_en_rd1 : STD_LOGIC := '0';
SIGNAL reset_en_rd2 : STD_LOGIC := '0';
SIGNAL data_chk_wr_d1 : STD_LOGIC := '0';
SIGNAL data_chk_rd1 : STD_LOGIC := '0';
SIGNAL data_chk_rd2 : STD_LOGIC := '0';
SIGNAL full_d1 : STD_LOGIC := '0';
SIGNAL full_rd_dom1 : STD_LOGIC := '0';
SIGNAL full_rd_dom2 : STD_LOGIC := '0';
SIGNAL af_chk_d1 : STD_LOGIC := '0';
SIGNAL af_chk_rd1 : STD_LOGIC := '0';
SIGNAL af_chk_rd2 : STD_LOGIC := '0';
SIGNAL post_rst_dly_wr : STD_LOGIC_VECTOR(4 DOWNTO 0) := (OTHERS => '1');
SIGNAL post_rst_dly_rd : STD_LOGIC_VECTOR(4 DOWNTO 0) := (OTHERS => '1');
BEGIN
status_i <= data_chk_i & full_chk_rd2 & empty_chk_i & af_chk_rd2 & ae_chk_i;
STATUS <= status_d1_i & '0' & '0' & rd_activ_cont(rd_activ_cont'high);
prc_we_i <= wr_en_i WHEN sim_done_wr2 = '0' ELSE '0';
prc_re_i <= rd_en_i WHEN sim_done_i = '0' ELSE '0';
SIM_DONE <= sim_done_i;
rdw_gt_wrw <= (OTHERS => '1');
PROCESS(RD_CLK)
BEGIN
IF (RD_CLK'event AND RD_CLK='1') THEN
IF(prc_re_i = '1') THEN
rd_activ_cont <= rd_activ_cont + "1";
END IF;
END IF;
END PROCESS;
PROCESS(sim_done_i)
BEGIN
assert sim_done_i = '0'
report "Simulation Complete for:" & AXI_CHANNEL
severity note;
END PROCESS;
-----------------------------------------------------
-- SIM_DONE SIGNAL GENERATION
-----------------------------------------------------
PROCESS (RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
--sim_done_i <= '0';
ELSIF(RD_CLK'event AND RD_CLK='1') THEN
IF((OR_REDUCE(sim_stop_cntr) = '0' AND TB_STOP_CNT /= 0) OR stop_on_err = '1') THEN
sim_done_i <= '1';
END IF;
END IF;
END PROCESS;
-- TB Timeout/Stop
fifo_tb_stop_run:IF(TB_STOP_CNT /= 0) GENERATE
PROCESS (RD_CLK)
BEGIN
IF (RD_CLK'event AND RD_CLK='1') THEN
IF(state_rd_dom2 = '0' AND state_rd_dom3 = '1') THEN
sim_stop_cntr <= sim_stop_cntr - "1";
END IF;
END IF;
END PROCESS;
END GENERATE fifo_tb_stop_run;
-- Stop when error found
PROCESS (RD_CLK)
BEGIN
IF (RD_CLK'event AND RD_CLK='1') THEN
IF(sim_done_i = '0') THEN
status_d1_i <= status_i OR status_d1_i;
END IF;
IF(FREEZEON_ERROR = 1 AND status_i /= "0") THEN
stop_on_err <= '1';
END IF;
END IF;
END PROCESS;
-----------------------------------------------------
-----------------------------------------------------
-- CHECKS FOR FIFO
-----------------------------------------------------
-- Reset pulse extension require for FULL flags checks
-- FULL flag may stay high for 3 clocks after reset is removed.
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
reset_ex1 <= '1';
reset_ex2 <= '1';
reset_ex3 <= '1';
ELSIF (WR_CLK'event AND WR_CLK='1') THEN
reset_ex1 <= '0';
reset_ex2 <= reset_ex1;
reset_ex3 <= reset_ex2;
END IF;
END PROCESS;
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
post_rst_dly_rd <= (OTHERS => '1');
ELSIF (RD_CLK'event AND RD_CLK='1') THEN
post_rst_dly_rd <= post_rst_dly_rd-post_rst_dly_rd(4);
END IF;
END PROCESS;
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
post_rst_dly_wr <= (OTHERS => '1');
ELSIF (WR_CLK'event AND WR_CLK='1') THEN
post_rst_dly_wr <= post_rst_dly_wr-post_rst_dly_wr(4);
END IF;
END PROCESS;
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
wrw_gt_rdw <= (OTHERS => '1');
ELSIF (WR_CLK'event AND WR_CLK='1') THEN
IF(rd_en_wr2 = '1' AND wr_en_i = '0' AND FULL = '1') THEN
wrw_gt_rdw <= wrw_gt_rdw + '1';
END IF;
END IF;
END PROCESS;
-- FULL de-assert Counter
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
full_ds_timeout <= (OTHERS => '0');
ELSIF(WR_CLK'event AND WR_CLK='1') THEN
IF(state = '1') THEN
IF(rd_en_wr2 = '1' AND wr_en_i = '0' AND FULL = '1' AND AND_REDUCE(wrw_gt_rdw) = '1') THEN
full_ds_timeout <= full_ds_timeout + '1';
END IF;
ELSE
full_ds_timeout <= (OTHERS => '0');
END IF;
END IF;
END PROCESS;
-- EMPTY deassert counter
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
empty_ds_timeout <= (OTHERS => '0');
ELSIF(RD_CLK'event AND RD_CLK='1') THEN
IF(state = '0') THEN
IF(wr_en_rd2 = '1' AND rd_en_i = '0' AND EMPTY = '1' AND AND_REDUCE(rdw_gt_wrw) = '1') THEN
empty_ds_timeout <= empty_ds_timeout + '1';
END IF;
ELSE
empty_ds_timeout <= (OTHERS => '0');
END IF;
END IF;
END PROCESS;
-- Full check signal generation
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
full_chk_i <= '0';
ELSIF(WR_CLK'event AND WR_CLK='1') THEN
IF(C_APPLICATION_TYPE = 1 AND (AXI_CHANNEL = "WACH" OR AXI_CHANNEL = "RACH" OR AXI_CHANNEL = "AXI4_Stream")) THEN
full_chk_i <= '0';
ELSE
full_chk_i <= AND_REDUCE(full_as_timeout) OR
AND_REDUCE(full_ds_timeout);
END IF;
END IF;
END PROCESS;
-- Empty checks
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
empty_chk_i <= '0';
ELSIF(RD_CLK'event AND RD_CLK='1') THEN
IF(C_APPLICATION_TYPE = 1 AND (AXI_CHANNEL = "WACH" OR AXI_CHANNEL = "RACH" OR AXI_CHANNEL = "AXI4_Stream")) THEN
empty_chk_i <= '0';
ELSE
empty_chk_i <= AND_REDUCE(empty_as_timeout) OR
AND_REDUCE(empty_ds_timeout);
END IF;
END IF;
END PROCESS;
fifo_d_chk:IF(C_CH_TYPE /= 2) GENERATE
PRC_WR_EN <= prc_we_i AFTER 24 ns;
PRC_RD_EN <= prc_re_i AFTER 12 ns;
data_chk_i <= dout_chk;
END GENERATE fifo_d_chk;
-- Almost full flag checks
PROCESS(WR_CLK,reset_ex3)
BEGIN
IF(reset_ex3 = '1') THEN
af_chk_i <= '0';
ELSIF (WR_CLK'event AND WR_CLK='1') THEN
IF((FULL = '1' AND ALMOST_FULL = '0') OR (empty_wr_dom2 = '1' AND ALMOST_FULL = '1' AND C_WR_PNTR_WIDTH > 4)) THEN
af_chk_i <= '1';
ELSE
af_chk_i <= '0';
END IF;
END IF;
END PROCESS;
-- Almost empty flag checks
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
ae_chk_i <= '0';
ELSIF (RD_CLK'event AND RD_CLK='1') THEN
IF((EMPTY = '1' AND ALMOST_EMPTY = '0') OR
(state = '1' AND full_rd_dom2 = '1' AND ALMOST_EMPTY = '1')) THEN
ae_chk_i <= '1';
ELSE
ae_chk_i <= '0';
END IF;
END IF;
END PROCESS;
-----------------------------------------------------
-----------------------------------------------------
-- SYNCHRONIZERS B/W WRITE AND READ DOMAINS
-----------------------------------------------------
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
empty_wr_dom1 <= '1';
empty_wr_dom2 <= '1';
state_d1 <= '0';
wr_en_d1 <= '0';
rd_en_wr1 <= '0';
rd_en_wr2 <= '0';
full_chk_d1 <= '0';
af_chk_d1 <= '0';
full_d1 <= '0';
reset_en_d1 <= '0';
sim_done_wr1 <= '0';
sim_done_wr2 <= '0';
ELSIF (WR_CLK'event AND WR_CLK='1') THEN
sim_done_wr1 <= sim_done_d1;
sim_done_wr2 <= sim_done_wr1;
reset_en_d1 <= reset_en_i;
full_d1 <= FULL;
state_d1 <= state;
empty_wr_dom1 <= empty_d1;
empty_wr_dom2 <= empty_wr_dom1;
wr_en_d1 <= wr_en_i;
rd_en_wr1 <= rd_en_d1;
rd_en_wr2 <= rd_en_wr1;
full_chk_d1 <= full_chk_i;
af_chk_d1 <= af_chk_i;
END IF;
END PROCESS;
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
empty_d1 <= '1';
state_rd_dom1 <= '0';
state_rd_dom2 <= '0';
state_rd_dom3 <= '0';
wr_en_rd1 <= '0';
wr_en_rd2 <= '0';
rd_en_d1 <= '0';
full_chk_rd1 <= '0';
full_chk_rd2 <= '0';
af_chk_rd1 <= '0';
af_chk_rd2 <= '0';
full_rd_dom1 <= '0';
full_rd_dom2 <= '0';
reset_en_rd1 <= '0';
reset_en_rd2 <= '0';
sim_done_d1 <= '0';
ELSIF (RD_CLK'event AND RD_CLK='1') THEN
sim_done_d1 <= sim_done_i;
reset_en_rd1 <= reset_en_d1;
reset_en_rd2 <= reset_en_rd1;
empty_d1 <= EMPTY;
rd_en_d1 <= rd_en_i;
state_rd_dom1 <= state_d1;
state_rd_dom2 <= state_rd_dom1;
state_rd_dom3 <= state_rd_dom2;
wr_en_rd1 <= wr_en_d1;
wr_en_rd2 <= wr_en_rd1;
full_chk_rd1 <= full_chk_d1;
full_chk_rd2 <= full_chk_rd1;
af_chk_rd1 <= af_chk_d1;
af_chk_rd2 <= af_chk_rd1;
full_rd_dom1 <= full_d1;
full_rd_dom2 <= full_rd_dom1;
END IF;
END PROCESS;
RESET_EN <= reset_en_rd2;
data_fifo_en:IF(C_CH_TYPE /= 2) GENERATE
-----------------------------------------------------
-- WR_EN GENERATION
-----------------------------------------------------
gen_rand_wr_en:fg_tb_rng
GENERIC MAP(
WIDTH => 8,
SEED => TB_SEED+1
)
PORT MAP(
CLK => WR_CLK,
RESET => RESET_WR,
RANDOM_NUM => wr_en_gen,
ENABLE => '1'
);
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
wr_en_i <= '0';
ELSIF(WR_CLK'event AND WR_CLK='1') THEN
IF(state = '1') THEN
wr_en_i <= wr_en_gen(0) AND wr_en_gen(7) AND wr_en_gen(2) AND wr_control;
ELSE
wr_en_i <= (wr_en_gen(3) OR wr_en_gen(4) OR wr_en_gen(2)) AND (NOT post_rst_dly_wr(4));
END IF;
END IF;
END PROCESS;
-----------------------------------------------------
-- WR_EN CONTROL
-----------------------------------------------------
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
wr_cntr <= (OTHERS => '0');
wr_control <= '1';
full_as_timeout <= (OTHERS => '0');
ELSIF(WR_CLK'event AND WR_CLK='1') THEN
IF(state = '1') THEN
IF(wr_en_i = '1') THEN
wr_cntr <= wr_cntr + "1";
END IF;
full_as_timeout <= (OTHERS => '0');
ELSE
wr_cntr <= (OTHERS => '0');
IF(rd_en_wr2 = '0') THEN
IF(wr_en_i = '1') THEN
full_as_timeout <= full_as_timeout + "1";
END IF;
ELSE
full_as_timeout <= (OTHERS => '0');
END IF;
END IF;
wr_control <= NOT wr_cntr(wr_cntr'high);
END IF;
END PROCESS;
-----------------------------------------------------
-- RD_EN GENERATION
-----------------------------------------------------
gen_rand_rd_en:fg_tb_rng
GENERIC MAP(
WIDTH => 8,
SEED => TB_SEED
)
PORT MAP(
CLK => RD_CLK,
RESET => RESET_RD,
RANDOM_NUM => rd_en_gen,
ENABLE => '1'
);
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
rd_en_i <= '0';
ELSIF(RD_CLK'event AND RD_CLK='1') THEN
IF(state_rd_dom2 = '0') THEN
rd_en_i <= rd_en_gen(1) AND rd_en_gen(5) AND rd_en_gen(3) AND rd_control AND (NOT post_rst_dly_rd(4));
ELSE
rd_en_i <= rd_en_gen(0) OR rd_en_gen(6);
END IF;
END IF;
END PROCESS;
-----------------------------------------------------
-- RD_EN CONTROL
-----------------------------------------------------
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
rd_cntr <= (OTHERS => '0');
rd_control <= '1';
empty_as_timeout <= (OTHERS => '0');
ELSIF(RD_CLK'event AND RD_CLK='1') THEN
IF(state_rd_dom2 = '0') THEN
IF(rd_en_i = '1') THEN
rd_cntr <= rd_cntr + "1";
END IF;
empty_as_timeout <= (OTHERS => '0');
ELSE
rd_cntr <= (OTHERS => '0');
IF(wr_en_rd2 = '0') THEN
IF(rd_en_i = '1') THEN
empty_as_timeout <= empty_as_timeout + "1";
END IF;
ELSE
empty_as_timeout <= (OTHERS => '0');
END IF;
END IF;
rd_control <= NOT rd_cntr(rd_cntr'high);
END IF;
END PROCESS;
-----------------------------------------------------
-- STIMULUS CONTROL
-----------------------------------------------------
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
state <= '0';
reset_en_i <= '0';
ELSIF(WR_CLK'event AND WR_CLK='1') THEN
CASE state IS
WHEN '0' =>
IF(FULL = '1' AND empty_wr_dom2 = '0') THEN
state <= '1';
reset_en_i <= '0';
END IF;
WHEN '1' =>
IF(empty_wr_dom2 = '1' AND FULL = '0') THEN
state <= '0';
reset_en_i <= '1';
END IF;
WHEN OTHERS => state <= state;
END CASE;
END IF;
END PROCESS;
END GENERATE data_fifo_en;
END ARCHITECTURE;
|
--------------------------------------------------------------------------------
--
-- 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: fg_tb_pctrl.vhd
--
-- Description:
-- Used for protocol control on write and read interface stimulus and status generation
--
--------------------------------------------------------------------------------
-- Library Declarations
--------------------------------------------------------------------------------
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.std_logic_unsigned.all;
USE IEEE.std_logic_arith.all;
USE IEEE.std_logic_misc.all;
LIBRARY work;
USE work.fg_tb_pkg.ALL;
ENTITY fg_tb_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 ENTITY;
ARCHITECTURE fg_pc_arch OF fg_tb_pctrl IS
CONSTANT C_DATA_WIDTH : INTEGER := if_then_else(C_DIN_WIDTH > C_DOUT_WIDTH,C_DIN_WIDTH,C_DOUT_WIDTH);
CONSTANT LOOP_COUNT : INTEGER := divroundup(C_DATA_WIDTH,8);
CONSTANT D_WIDTH_DIFF : INTEGER := log2roundup(C_DIN_WIDTH/C_DOUT_WIDTH);
SIGNAL data_chk_i : STD_LOGIC := if_then_else(C_CH_TYPE /= 2,'1','0');
SIGNAL full_chk_i : STD_LOGIC := if_then_else(C_CH_TYPE /= 2,'1','0');
SIGNAL empty_chk_i : STD_LOGIC := if_then_else(C_CH_TYPE /= 2,'1','0');
SIGNAL status_i : STD_LOGIC_VECTOR(4 DOWNTO 0):= (OTHERS => '0');
SIGNAL status_d1_i : STD_LOGIC_VECTOR(4 DOWNTO 0):= (OTHERS => '0');
SIGNAL wr_en_gen : STD_LOGIC_VECTOR(7 DOWNTO 0):= (OTHERS => '0');
SIGNAL rd_en_gen : STD_LOGIC_VECTOR(7 DOWNTO 0):= (OTHERS => '0');
SIGNAL wr_cntr : STD_LOGIC_VECTOR(C_WR_PNTR_WIDTH-2 DOWNTO 0) := (OTHERS => '0');
SIGNAL full_as_timeout : STD_LOGIC_VECTOR(C_WR_PNTR_WIDTH DOWNTO 0) := (OTHERS => '0');
SIGNAL full_ds_timeout : STD_LOGIC_VECTOR(C_WR_PNTR_WIDTH DOWNTO 0) := (OTHERS => '0');
SIGNAL rd_cntr : STD_LOGIC_VECTOR(C_RD_PNTR_WIDTH-2 DOWNTO 0) := (OTHERS => '0');
SIGNAL empty_as_timeout : STD_LOGIC_VECTOR(C_RD_PNTR_WIDTH DOWNTO 0) := (OTHERS => '0');
SIGNAL empty_ds_timeout : STD_LOGIC_VECTOR(C_RD_PNTR_WIDTH DOWNTO 0):= (OTHERS => '0');
SIGNAL wr_en_i : STD_LOGIC := '0';
SIGNAL rd_en_i : STD_LOGIC := '0';
SIGNAL state : STD_LOGIC := '0';
SIGNAL wr_control : STD_LOGIC := '0';
SIGNAL rd_control : STD_LOGIC := '0';
SIGNAL stop_on_err : STD_LOGIC := '0';
SIGNAL sim_stop_cntr : STD_LOGIC_VECTOR(7 DOWNTO 0):= conv_std_logic_vector(if_then_else(C_CH_TYPE=2,64,TB_STOP_CNT),8);
SIGNAL sim_done_i : STD_LOGIC := '0';
SIGNAL reset_ex1 : STD_LOGIC := '0';
SIGNAL reset_ex2 : STD_LOGIC := '0';
SIGNAL reset_ex3 : STD_LOGIC := '0';
SIGNAL ae_chk_i : STD_LOGIC := if_then_else(C_CH_TYPE /= 2,'1','0');
SIGNAL af_chk_i : STD_LOGIC := if_then_else(C_CH_TYPE /= 2,'1','0');
SIGNAL rdw_gt_wrw : STD_LOGIC_VECTOR(D_WIDTH_DIFF-1 DOWNTO 0) := (OTHERS => '1');
SIGNAL wrw_gt_rdw : STD_LOGIC_VECTOR(D_WIDTH_DIFF-1 DOWNTO 0) := (OTHERS => '1');
SIGNAL rd_activ_cont : STD_LOGIC_VECTOR(25 downto 0):= (OTHERS => '0');
SIGNAL prc_we_i : STD_LOGIC := '0';
SIGNAL prc_re_i : STD_LOGIC := '0';
SIGNAL reset_en_i : STD_LOGIC := '0';
SIGNAL sim_done_d1 : STD_LOGIC := '0';
SIGNAL sim_done_wr1 : STD_LOGIC := '0';
SIGNAL sim_done_wr2 : STD_LOGIC := '0';
SIGNAL empty_d1 : STD_LOGIC := '0';
SIGNAL empty_wr_dom1 : STD_LOGIC := '0';
SIGNAL state_d1 : STD_LOGIC := '0';
SIGNAL state_rd_dom1 : STD_LOGIC := '0';
SIGNAL rd_en_d1 : STD_LOGIC := '0';
SIGNAL rd_en_wr1 : STD_LOGIC := '0';
SIGNAL wr_en_d1 : STD_LOGIC := '0';
SIGNAL wr_en_rd1 : STD_LOGIC := '0';
SIGNAL full_chk_d1 : STD_LOGIC := '0';
SIGNAL full_chk_rd1 : STD_LOGIC := '0';
SIGNAL empty_wr_dom2 : STD_LOGIC := '0';
SIGNAL state_rd_dom2 : STD_LOGIC := '0';
SIGNAL state_rd_dom3 : STD_LOGIC := '0';
SIGNAL rd_en_wr2 : STD_LOGIC := '0';
SIGNAL wr_en_rd2 : STD_LOGIC := '0';
SIGNAL full_chk_rd2 : STD_LOGIC := '0';
SIGNAL reset_en_d1 : STD_LOGIC := '0';
SIGNAL reset_en_rd1 : STD_LOGIC := '0';
SIGNAL reset_en_rd2 : STD_LOGIC := '0';
SIGNAL data_chk_wr_d1 : STD_LOGIC := '0';
SIGNAL data_chk_rd1 : STD_LOGIC := '0';
SIGNAL data_chk_rd2 : STD_LOGIC := '0';
SIGNAL full_d1 : STD_LOGIC := '0';
SIGNAL full_rd_dom1 : STD_LOGIC := '0';
SIGNAL full_rd_dom2 : STD_LOGIC := '0';
SIGNAL af_chk_d1 : STD_LOGIC := '0';
SIGNAL af_chk_rd1 : STD_LOGIC := '0';
SIGNAL af_chk_rd2 : STD_LOGIC := '0';
SIGNAL post_rst_dly_wr : STD_LOGIC_VECTOR(4 DOWNTO 0) := (OTHERS => '1');
SIGNAL post_rst_dly_rd : STD_LOGIC_VECTOR(4 DOWNTO 0) := (OTHERS => '1');
BEGIN
status_i <= data_chk_i & full_chk_rd2 & empty_chk_i & af_chk_rd2 & ae_chk_i;
STATUS <= status_d1_i & '0' & '0' & rd_activ_cont(rd_activ_cont'high);
prc_we_i <= wr_en_i WHEN sim_done_wr2 = '0' ELSE '0';
prc_re_i <= rd_en_i WHEN sim_done_i = '0' ELSE '0';
SIM_DONE <= sim_done_i;
rdw_gt_wrw <= (OTHERS => '1');
PROCESS(RD_CLK)
BEGIN
IF (RD_CLK'event AND RD_CLK='1') THEN
IF(prc_re_i = '1') THEN
rd_activ_cont <= rd_activ_cont + "1";
END IF;
END IF;
END PROCESS;
PROCESS(sim_done_i)
BEGIN
assert sim_done_i = '0'
report "Simulation Complete for:" & AXI_CHANNEL
severity note;
END PROCESS;
-----------------------------------------------------
-- SIM_DONE SIGNAL GENERATION
-----------------------------------------------------
PROCESS (RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
--sim_done_i <= '0';
ELSIF(RD_CLK'event AND RD_CLK='1') THEN
IF((OR_REDUCE(sim_stop_cntr) = '0' AND TB_STOP_CNT /= 0) OR stop_on_err = '1') THEN
sim_done_i <= '1';
END IF;
END IF;
END PROCESS;
-- TB Timeout/Stop
fifo_tb_stop_run:IF(TB_STOP_CNT /= 0) GENERATE
PROCESS (RD_CLK)
BEGIN
IF (RD_CLK'event AND RD_CLK='1') THEN
IF(state_rd_dom2 = '0' AND state_rd_dom3 = '1') THEN
sim_stop_cntr <= sim_stop_cntr - "1";
END IF;
END IF;
END PROCESS;
END GENERATE fifo_tb_stop_run;
-- Stop when error found
PROCESS (RD_CLK)
BEGIN
IF (RD_CLK'event AND RD_CLK='1') THEN
IF(sim_done_i = '0') THEN
status_d1_i <= status_i OR status_d1_i;
END IF;
IF(FREEZEON_ERROR = 1 AND status_i /= "0") THEN
stop_on_err <= '1';
END IF;
END IF;
END PROCESS;
-----------------------------------------------------
-----------------------------------------------------
-- CHECKS FOR FIFO
-----------------------------------------------------
-- Reset pulse extension require for FULL flags checks
-- FULL flag may stay high for 3 clocks after reset is removed.
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
reset_ex1 <= '1';
reset_ex2 <= '1';
reset_ex3 <= '1';
ELSIF (WR_CLK'event AND WR_CLK='1') THEN
reset_ex1 <= '0';
reset_ex2 <= reset_ex1;
reset_ex3 <= reset_ex2;
END IF;
END PROCESS;
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
post_rst_dly_rd <= (OTHERS => '1');
ELSIF (RD_CLK'event AND RD_CLK='1') THEN
post_rst_dly_rd <= post_rst_dly_rd-post_rst_dly_rd(4);
END IF;
END PROCESS;
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
post_rst_dly_wr <= (OTHERS => '1');
ELSIF (WR_CLK'event AND WR_CLK='1') THEN
post_rst_dly_wr <= post_rst_dly_wr-post_rst_dly_wr(4);
END IF;
END PROCESS;
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
wrw_gt_rdw <= (OTHERS => '1');
ELSIF (WR_CLK'event AND WR_CLK='1') THEN
IF(rd_en_wr2 = '1' AND wr_en_i = '0' AND FULL = '1') THEN
wrw_gt_rdw <= wrw_gt_rdw + '1';
END IF;
END IF;
END PROCESS;
-- FULL de-assert Counter
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
full_ds_timeout <= (OTHERS => '0');
ELSIF(WR_CLK'event AND WR_CLK='1') THEN
IF(state = '1') THEN
IF(rd_en_wr2 = '1' AND wr_en_i = '0' AND FULL = '1' AND AND_REDUCE(wrw_gt_rdw) = '1') THEN
full_ds_timeout <= full_ds_timeout + '1';
END IF;
ELSE
full_ds_timeout <= (OTHERS => '0');
END IF;
END IF;
END PROCESS;
-- EMPTY deassert counter
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
empty_ds_timeout <= (OTHERS => '0');
ELSIF(RD_CLK'event AND RD_CLK='1') THEN
IF(state = '0') THEN
IF(wr_en_rd2 = '1' AND rd_en_i = '0' AND EMPTY = '1' AND AND_REDUCE(rdw_gt_wrw) = '1') THEN
empty_ds_timeout <= empty_ds_timeout + '1';
END IF;
ELSE
empty_ds_timeout <= (OTHERS => '0');
END IF;
END IF;
END PROCESS;
-- Full check signal generation
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
full_chk_i <= '0';
ELSIF(WR_CLK'event AND WR_CLK='1') THEN
IF(C_APPLICATION_TYPE = 1 AND (AXI_CHANNEL = "WACH" OR AXI_CHANNEL = "RACH" OR AXI_CHANNEL = "AXI4_Stream")) THEN
full_chk_i <= '0';
ELSE
full_chk_i <= AND_REDUCE(full_as_timeout) OR
AND_REDUCE(full_ds_timeout);
END IF;
END IF;
END PROCESS;
-- Empty checks
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
empty_chk_i <= '0';
ELSIF(RD_CLK'event AND RD_CLK='1') THEN
IF(C_APPLICATION_TYPE = 1 AND (AXI_CHANNEL = "WACH" OR AXI_CHANNEL = "RACH" OR AXI_CHANNEL = "AXI4_Stream")) THEN
empty_chk_i <= '0';
ELSE
empty_chk_i <= AND_REDUCE(empty_as_timeout) OR
AND_REDUCE(empty_ds_timeout);
END IF;
END IF;
END PROCESS;
fifo_d_chk:IF(C_CH_TYPE /= 2) GENERATE
PRC_WR_EN <= prc_we_i AFTER 24 ns;
PRC_RD_EN <= prc_re_i AFTER 12 ns;
data_chk_i <= dout_chk;
END GENERATE fifo_d_chk;
-- Almost full flag checks
PROCESS(WR_CLK,reset_ex3)
BEGIN
IF(reset_ex3 = '1') THEN
af_chk_i <= '0';
ELSIF (WR_CLK'event AND WR_CLK='1') THEN
IF((FULL = '1' AND ALMOST_FULL = '0') OR (empty_wr_dom2 = '1' AND ALMOST_FULL = '1' AND C_WR_PNTR_WIDTH > 4)) THEN
af_chk_i <= '1';
ELSE
af_chk_i <= '0';
END IF;
END IF;
END PROCESS;
-- Almost empty flag checks
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
ae_chk_i <= '0';
ELSIF (RD_CLK'event AND RD_CLK='1') THEN
IF((EMPTY = '1' AND ALMOST_EMPTY = '0') OR
(state = '1' AND full_rd_dom2 = '1' AND ALMOST_EMPTY = '1')) THEN
ae_chk_i <= '1';
ELSE
ae_chk_i <= '0';
END IF;
END IF;
END PROCESS;
-----------------------------------------------------
-----------------------------------------------------
-- SYNCHRONIZERS B/W WRITE AND READ DOMAINS
-----------------------------------------------------
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
empty_wr_dom1 <= '1';
empty_wr_dom2 <= '1';
state_d1 <= '0';
wr_en_d1 <= '0';
rd_en_wr1 <= '0';
rd_en_wr2 <= '0';
full_chk_d1 <= '0';
af_chk_d1 <= '0';
full_d1 <= '0';
reset_en_d1 <= '0';
sim_done_wr1 <= '0';
sim_done_wr2 <= '0';
ELSIF (WR_CLK'event AND WR_CLK='1') THEN
sim_done_wr1 <= sim_done_d1;
sim_done_wr2 <= sim_done_wr1;
reset_en_d1 <= reset_en_i;
full_d1 <= FULL;
state_d1 <= state;
empty_wr_dom1 <= empty_d1;
empty_wr_dom2 <= empty_wr_dom1;
wr_en_d1 <= wr_en_i;
rd_en_wr1 <= rd_en_d1;
rd_en_wr2 <= rd_en_wr1;
full_chk_d1 <= full_chk_i;
af_chk_d1 <= af_chk_i;
END IF;
END PROCESS;
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
empty_d1 <= '1';
state_rd_dom1 <= '0';
state_rd_dom2 <= '0';
state_rd_dom3 <= '0';
wr_en_rd1 <= '0';
wr_en_rd2 <= '0';
rd_en_d1 <= '0';
full_chk_rd1 <= '0';
full_chk_rd2 <= '0';
af_chk_rd1 <= '0';
af_chk_rd2 <= '0';
full_rd_dom1 <= '0';
full_rd_dom2 <= '0';
reset_en_rd1 <= '0';
reset_en_rd2 <= '0';
sim_done_d1 <= '0';
ELSIF (RD_CLK'event AND RD_CLK='1') THEN
sim_done_d1 <= sim_done_i;
reset_en_rd1 <= reset_en_d1;
reset_en_rd2 <= reset_en_rd1;
empty_d1 <= EMPTY;
rd_en_d1 <= rd_en_i;
state_rd_dom1 <= state_d1;
state_rd_dom2 <= state_rd_dom1;
state_rd_dom3 <= state_rd_dom2;
wr_en_rd1 <= wr_en_d1;
wr_en_rd2 <= wr_en_rd1;
full_chk_rd1 <= full_chk_d1;
full_chk_rd2 <= full_chk_rd1;
af_chk_rd1 <= af_chk_d1;
af_chk_rd2 <= af_chk_rd1;
full_rd_dom1 <= full_d1;
full_rd_dom2 <= full_rd_dom1;
END IF;
END PROCESS;
RESET_EN <= reset_en_rd2;
data_fifo_en:IF(C_CH_TYPE /= 2) GENERATE
-----------------------------------------------------
-- WR_EN GENERATION
-----------------------------------------------------
gen_rand_wr_en:fg_tb_rng
GENERIC MAP(
WIDTH => 8,
SEED => TB_SEED+1
)
PORT MAP(
CLK => WR_CLK,
RESET => RESET_WR,
RANDOM_NUM => wr_en_gen,
ENABLE => '1'
);
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
wr_en_i <= '0';
ELSIF(WR_CLK'event AND WR_CLK='1') THEN
IF(state = '1') THEN
wr_en_i <= wr_en_gen(0) AND wr_en_gen(7) AND wr_en_gen(2) AND wr_control;
ELSE
wr_en_i <= (wr_en_gen(3) OR wr_en_gen(4) OR wr_en_gen(2)) AND (NOT post_rst_dly_wr(4));
END IF;
END IF;
END PROCESS;
-----------------------------------------------------
-- WR_EN CONTROL
-----------------------------------------------------
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
wr_cntr <= (OTHERS => '0');
wr_control <= '1';
full_as_timeout <= (OTHERS => '0');
ELSIF(WR_CLK'event AND WR_CLK='1') THEN
IF(state = '1') THEN
IF(wr_en_i = '1') THEN
wr_cntr <= wr_cntr + "1";
END IF;
full_as_timeout <= (OTHERS => '0');
ELSE
wr_cntr <= (OTHERS => '0');
IF(rd_en_wr2 = '0') THEN
IF(wr_en_i = '1') THEN
full_as_timeout <= full_as_timeout + "1";
END IF;
ELSE
full_as_timeout <= (OTHERS => '0');
END IF;
END IF;
wr_control <= NOT wr_cntr(wr_cntr'high);
END IF;
END PROCESS;
-----------------------------------------------------
-- RD_EN GENERATION
-----------------------------------------------------
gen_rand_rd_en:fg_tb_rng
GENERIC MAP(
WIDTH => 8,
SEED => TB_SEED
)
PORT MAP(
CLK => RD_CLK,
RESET => RESET_RD,
RANDOM_NUM => rd_en_gen,
ENABLE => '1'
);
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
rd_en_i <= '0';
ELSIF(RD_CLK'event AND RD_CLK='1') THEN
IF(state_rd_dom2 = '0') THEN
rd_en_i <= rd_en_gen(1) AND rd_en_gen(5) AND rd_en_gen(3) AND rd_control AND (NOT post_rst_dly_rd(4));
ELSE
rd_en_i <= rd_en_gen(0) OR rd_en_gen(6);
END IF;
END IF;
END PROCESS;
-----------------------------------------------------
-- RD_EN CONTROL
-----------------------------------------------------
PROCESS(RD_CLK,RESET_RD)
BEGIN
IF(RESET_RD = '1') THEN
rd_cntr <= (OTHERS => '0');
rd_control <= '1';
empty_as_timeout <= (OTHERS => '0');
ELSIF(RD_CLK'event AND RD_CLK='1') THEN
IF(state_rd_dom2 = '0') THEN
IF(rd_en_i = '1') THEN
rd_cntr <= rd_cntr + "1";
END IF;
empty_as_timeout <= (OTHERS => '0');
ELSE
rd_cntr <= (OTHERS => '0');
IF(wr_en_rd2 = '0') THEN
IF(rd_en_i = '1') THEN
empty_as_timeout <= empty_as_timeout + "1";
END IF;
ELSE
empty_as_timeout <= (OTHERS => '0');
END IF;
END IF;
rd_control <= NOT rd_cntr(rd_cntr'high);
END IF;
END PROCESS;
-----------------------------------------------------
-- STIMULUS CONTROL
-----------------------------------------------------
PROCESS(WR_CLK,RESET_WR)
BEGIN
IF(RESET_WR = '1') THEN
state <= '0';
reset_en_i <= '0';
ELSIF(WR_CLK'event AND WR_CLK='1') THEN
CASE state IS
WHEN '0' =>
IF(FULL = '1' AND empty_wr_dom2 = '0') THEN
state <= '1';
reset_en_i <= '0';
END IF;
WHEN '1' =>
IF(empty_wr_dom2 = '1' AND FULL = '0') THEN
state <= '0';
reset_en_i <= '1';
END IF;
WHEN OTHERS => state <= state;
END CASE;
END IF;
END PROCESS;
END GENERATE data_fifo_en;
END ARCHITECTURE;
|
----------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 16:44:13 05/29/2015
-- Design Name:
-- Module Name: module_sp - 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.NUMERIC_STD.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 module_SP is
port(
clk_SP: in std_logic;
nreset: in std_logic;
SP_CS: in std_logic; --Ƭѡ
SP_UP: in std_logic; -- +1£¬¼´³öÕ»
SP_DN: in std_logic; -- -1£¬¼´ÈëÕ»
nSP_EN: in std_logic; --µ±Õâ¸öΪ0ʱ£¬upÓëdownÓÐЧ£»µ±Õâ¸öΪ1ʱ±íʾÐèÒª¸üÐÂSPÁË
ARo: out std_logic_vector(6 downto 0);
ao: out std_logic;
datai: in std_logic_vector(7 downto 0));
end module_SP;
architecture Behavioral of module_SP is
signal SP: std_logic_vector(6 downto 0);
begin
process(clk_SP, nreset)
begin
if nreset = '0' then
SP <= (others => '1'); -- ³õʼʱspÓ¦¸ÃÔÚ7F´¦£¬¼´×îµ×ÏÂ
elsif rising_edge(clk_SP) then
if SP_CS = '1' then
if nSP_EN = '1' then -- ¸üÐÂSP
SP <= datai(6 downto 0);
ARo <= (others => 'Z');
ao <= '0';
else
if SP_UP = '1' then -- ÉÏÉý
ARo <= SP; -- ÕâÑùÊǶԵÄ
ao <= '1';
SP <= std_logic_vector(unsigned(SP) - 1);
elsif SP_DN = '1' then -- Ͻµ
ARo <= std_logic_vector(unsigned(SP) + 1); -- ÕâÑùÊǶԵÄ
ao <= '1';
SP <= std_logic_vector(unsigned(SP) + 1);
else
ARo <= (others => 'Z');
ao <= '0';
end if;
end if;
else
ARo <= (others => 'Z');
ao <= '0';
end if;
end if;
end process;
end Behavioral;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
entity psl_test_cover is
end entity psl_test_cover;
architecture test of psl_test_cover is
signal s_rst_n : std_logic := '0';
signal s_clk : std_logic := '0';
signal s_write : std_logic;
signal s_read : std_logic;
begin
s_rst_n <= '1' after 100 ns;
s_clk <= not s_clk after 10 ns;
TestP : process is
begin
report "RUNNING PSL_TEST_COVER test case";
report "================================";
s_write <= '0';
s_read <= '0';
wait until s_rst_n = '1' and rising_edge(s_clk);
s_write <= '1'; -- cover should hit
wait until rising_edge(s_clk);
s_read <= '1'; -- assertion should hit
wait until rising_edge(s_clk);
s_write <= '0';
s_read <= '0';
wait;
end process TestP;
-- -psl statements
-- psl default clock is rising_edge(s_clk);
-- cover directive seems not supported (ignored by GHDL)
-- psl cover always (s_write -> not(s_read));
end architecture test;
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.