content
stringlengths
4
1.04M
lang
stringclasses
358 values
score
int64
0
5
repo_name
stringlengths
5
114
repo_path
stringlengths
4
229
repo_licenses
listlengths
1
8
{* *! version 1.0.0 19mar2014}{...} Hello world!{p_end}
Stata
0
JavascriptID/sourcerer-app
src/test/resources/samples/langs/Stata/include.ihlp
[ "MIT" ]
a { value: 10x\, }
CSS
0
mengxy/swc
crates/swc_css_parser/tests/fixture/esbuild/misc/sPEO1vW1kIUNhCVdR2d7fg/input.css
[ "Apache-2.0" ]
import os import sys import threading import traceback NLOOPS = 50 NTHREADS = 30 def t1(): try: from concurrent.futures import ThreadPoolExecutor except Exception: traceback.print_exc() os._exit(1) def t2(): try: from concurrent.futures.thread import ThreadPoolExecutor except Exception: traceback.print_exc() os._exit(1) def main(): for j in range(NLOOPS): threads = [] for i in range(NTHREADS): threads.append(threading.Thread(target=t2 if i % 1 else t1)) for thread in threads: thread.start() for thread in threads: thread.join() sys.modules.pop('concurrent.futures', None) sys.modules.pop('concurrent.futures.thread', None) if __name__ == "__main__": main()
Python
3
pxeger/cpython
Lib/test/test_importlib/partial/cfimport.py
[ "0BSD" ]
# Check that the isolate option is adjusted by schedule space scaling domain: "{ A[i,j] : 0 <= i,j < 100 }" child: schedule: "[{ A[i,j] -> [3i] }]" child: schedule: "[{ A[i,j] -> [3j] }]" options: "{ isolate[[x] -> [y]] : 10 <= x <= 20 }"
Smalltalk
2
chelini/isl-haystack
test_inputs/codegen/isolate2.st
[ "MIT" ]
/* * Copyright (c) 2021, Dex♪ <[email protected]> * * SPDX-License-Identifier: BSD-2-Clause */ #pragma once #include <AK/ByteBuffer.h> #include <AK/Span.h> #include <AK/String.h> #include <LibCore/Object.h> #include <LibTLS/TLSv12.h> #include <LibWebSocket/ConnectionInfo.h> #include <LibWebSocket/Impl/AbstractWebSocketImpl.h> namespace WebSocket { class TLSv12WebSocketConnectionImpl final : public AbstractWebSocketImpl { C_OBJECT(TLSv12WebSocketConnectionImpl); public: virtual ~TLSv12WebSocketConnectionImpl() override; void connect(ConnectionInfo const& connection) override; virtual bool can_read_line() override; virtual String read_line(size_t size) override; virtual bool can_read() override; virtual ByteBuffer read(int max_size) override; virtual bool send(ReadonlyBytes data) override; virtual bool eof() override; virtual void discard_connection() override; private: explicit TLSv12WebSocketConnectionImpl(Core::Object* parent = nullptr); RefPtr<TLS::TLSv12> m_socket; }; }
C
4
r00ster91/serenity
Userland/Libraries/LibWebSocket/Impl/TLSv12WebSocketConnectionImpl.h
[ "BSD-2-Clause" ]
theory SimpleWallet imports "../Hoare/HoareTripleForInstructions2" "../Hoare/HoareTripleForLogGasCall" begin context includes hoare_bundle hoare_inst_bundle sep_crunch_bundle simp_for_triples_bundle begin (* 0: PUSH 0 2: SLOAD 3: CALLER 4: EQ 5: PUSH 9 7: JUMPI 8: STOP 9: JUMPDEST PUSH 0 DUP1 DUP1 DUP1 ADDRESS BALANCE CALLER GAS CALL STOP *) (* First try PUSH 0 DUP1 DUP1 DUP1 *) lemma push0_triple : "triple net {OutOfGas} (\<langle> h \<le> 1023\<rangle> ** stack_height h ** program_counter k ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [0]))} (stack_height (h + 1) ** stack h (word_rcat [0]) ** program_counter (2 + k) ** gas_pred (g - Gverylow) ** account_existence c existence ** continuing )" apply(rule weaken_post) apply(rule strengthen_pre) apply(rule_tac k = k and h = h and g = g in push_gas_triple) apply(auto simp add: word_rcat_def bin_rcat_def continuing_def) done lemma add_comm_pc: " PcElm (x + y) \<in> s \<Longrightarrow> PcElm (y + x) \<in> s" (* sledgehammer *) by (simp add: semiring_normalization_rules(24)) lemma seventh_pure [simp] : "(rest ** a ** b ** c ** d ** e ** \<langle> P \<rangle>) s = (P \<and> (rest ** a ** b ** c ** d ** e) s)" proof - have "(rest ** a ** b ** c ** d ** e ** \<langle> P \<rangle>) s = (\<langle> P \<rangle> ** rest ** a ** b ** c ** d ** e) s" by (simp add: sep_conj_ac) moreover have "(\<langle> P \<rangle> ** rest ** a ** b ** c ** d ** e) s = (P \<and> (rest ** a ** b ** c ** d ** e) s)" by (simp only: pure_sep) ultimately show ?thesis by auto qed lemma eighth_pure [simp] : "(rest ** a ** b ** c ** d ** e ** f ** \<langle> P \<rangle>) s = (P \<and> (rest ** a ** b ** c ** d ** e ** f) s)" proof - have "(rest ** a ** b ** c ** d ** e ** f ** \<langle> P \<rangle>) s = (\<langle> P \<rangle> ** rest ** a ** b ** c ** d ** e ** f) s" by (simp add: sep_conj_ac) moreover have "(\<langle> P \<rangle> ** rest ** a ** b ** c ** d ** e ** f) s = (P \<and> (rest ** a ** b ** c ** d ** e ** f) s)" by (simp only: pure_sep) ultimately show ?thesis by auto qed lemma ninth_pure [simp] : "(rest ** a ** b ** c ** d ** e ** f ** g ** \<langle> P \<rangle>) s = (P \<and> (rest ** a ** b ** c ** d ** e ** f ** g) s)" proof - have "(rest ** a ** b ** c ** d ** e ** f ** g ** \<langle> P \<rangle>) s = (\<langle> P \<rangle> ** rest ** a ** b ** c ** d ** e ** f ** g) s" by (simp add: sep_conj_ac) moreover have "(\<langle> P \<rangle> ** rest ** a ** b ** c ** d ** e ** f ** g) s = (P \<and> (rest ** a ** b ** c ** d ** e ** f ** g) s)" by (simp only: pure_sep) ultimately show ?thesis by auto qed lemma tenth_pure [simp] : "(rest ** a ** b ** c ** d ** e ** f ** g ** h ** \<langle> P \<rangle>) s = (P \<and> (rest ** a ** b ** c ** d ** e ** f ** g ** h) s)" proof - have "(rest ** a ** b ** c ** d ** e ** f ** g ** h ** \<langle> P \<rangle>) s = (\<langle> P \<rangle> ** rest ** a ** b ** c ** d ** e ** f ** g ** h) s" by (simp add: sep_conj_ac) moreover have "(\<langle> P \<rangle> ** rest ** a ** b ** c ** d ** e ** f ** g ** h) s = (P \<and> (rest ** a ** b ** c ** d ** e ** f ** g ** h) s)" by (simp only: pure_sep) ultimately show ?thesis by auto qed lemma pre_fifth_pure [simp]: "triple net failures (a ** b ** c ** d ** \<langle> P \<rangle>) cod post = (P \<longrightarrow> triple net failures (a ** b ** c ** d) cod post)" apply(auto simp add: triple_def) apply (sep_simp simp: pure_sep)+ done lemma pre_sixth_pure [simp]: "triple net failures (a ** b ** c ** d ** e ** \<langle> P \<rangle>) cod post = (P \<longrightarrow> triple net failures (a ** b ** c ** d ** e) cod post)" apply(auto simp add: triple_def) apply (sep_simp simp: pure_sep)+ done lemma pre_seventh_pure [simp]: "triple net failures (a ** b ** c ** d ** e ** f ** \<langle> P \<rangle>) cod post = (P \<longrightarrow> triple net failures (a ** b ** c ** d ** e ** f) cod post)" apply(auto simp add: triple_def) apply (sep_simp simp: pure_sep)+ done lemma pre_eigth_pure [simp]: "triple net failures (a ** b ** c ** d ** e ** f ** g ** \<langle> P \<rangle>) cod post = (P \<longrightarrow> triple net failures (a ** b ** c ** d ** e ** f ** g) cod post)" apply(auto simp add: triple_def) apply (sep_simp simp: pure_sep)+ done lemma pc_add [simp]: "PcElm (x + y) = PcElm (y + x)" apply(auto) done lemma push0dup1_triple : "triple net {OutOfGas} (\<langle> h \<le> 1022\<rangle> ** stack_height h ** program_counter k ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [0])), (k + 2, Dup 0)} (stack_height (h + 2) ** stack (Suc h) (word_rcat [0]) ** stack h (word_rcat [0]) ** program_counter (3 + k) ** gas_pred (g - 2 * Gverylow) ** account_existence c existence ** continuing )" apply(simp) apply(rule impI) apply(rule_tac cL = "{(k, Stack (PUSH_N [0]))}" and cR = "{(k + 2, Dup 0)}" in composition) apply(auto) apply(rule strengthen_pre) apply(rule_tac h = h and g = g in push0_triple) apply(auto) apply(rule strengthen_pre) apply(rule weaken_post) apply(rule_tac h = "(Suc h)" and g = "g - Gverylow" and w = "word_rcat [0]" in dup_gas_triple) apply(auto simp add: word_rcat_def bin_rcat_def elim: back_subst[where P=continuing]) done lemma true_is_emp [simp] : "\<langle> True \<rangle> = emp" using pure_def emp_def apply blast done lemma dup1dup1_triple : "triple net {OutOfGas} (\<langle> h \<le> 1021\<rangle> ** stack_height (Suc h) ** stack h w ** program_counter k ** gas_pred g ** account_existence c existence ** continuing ) {(k, Dup 0), (k + 1, Dup 0)} (stack_height (Suc (Suc (Suc h))) ** stack h w ** stack (Suc h) w ** stack (Suc (Suc h)) w ** program_counter (2 + k) ** gas_pred (g - 2 * Gverylow) ** account_existence c existence ** continuing )" apply(auto) apply(rule_tac cL = "{(k, Dup 0)}" and cR = "{(k + 1, Dup 0)}" in composition) apply(auto) apply(rule strengthen_pre) apply(rule_tac h = "Suc h" and w = w and g = g in dup_gas_triple) apply(auto) apply(rule_tac R = "stack h w" in frame_backward) apply(rule_tac h = "Suc (Suc h)" and w = w and g = "g - Gverylow" in dup_gas_triple) apply(auto simp: sep_conj_ac) done lemma triple_code_eq : "triple net s p c r \<Longrightarrow> c = c' \<Longrightarrow> triple net s p c' r" apply(simp) done (* lemma sep_functional : "a = b \<Longrightarrow> c = d \<Longrightarrow> a ** c = b ** d" apply(simp add: sep_conj_ac) done lemma rotate4 : "a ** b ** c ** d = b ** c ** d ** a" using sep_assoc sep_commute by auto lemma first_three : "a ** b ** c ** d = R \<Longrightarrow> c ** b ** a ** d = R" apply simp done lemma pick_third_L : "c ** a ** b ** rest = R \<Longrightarrow> a ** b ** c ** rest = R" proof simp qed lemma pick_thirdL: "a ** b ** rest = R \<Longrightarrow> a ** b ** c ** rest = c ** R" by (simp add: pick_third_L) *) lemma pddd_triple : "triple net {OutOfGas} (\<langle> h \<le> 1020\<rangle> ** stack_height h ** program_counter k ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [0])), (k + 2, Dup 0), (k + 3, Dup 0), (k + 4, Dup 0)} (stack_height (h + 4) ** stack (Suc (Suc (Suc h))) (word_rcat [0]) ** stack (Suc (Suc h)) (word_rcat [0]) ** stack (Suc h) (word_rcat [0]) ** stack h (word_rcat [0]) ** program_counter (5 + k) ** gas_pred (g - 4 * Gverylow) ** account_existence c existence ** continuing )" apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [0])), (k + 2, Dup 0)}" and cR = "{(k + 3, Dup 0), (k + 4, Dup 0)}" in composition) apply(auto) apply(rule strengthen_pre) apply(rule_tac h = h and g = g in push0dup1_triple) apply(auto) apply(rule_tac R = "stack h (word_rcat [0])" in frame_backward) apply(rule triple_code_eq) apply(rule_tac k = "3 + k" and h = "Suc h" and w = "word_rcat [0]" and g = "g - 2 * Gverylow" in dup1dup1_triple) apply(auto simp: )[1] apply simp apply (simp only: sep_conj_ac) apply (rule ext) apply (simp add: word_rcat_def bin_rcat_def sep_conj_ac continuing_def set_diff_eq) apply (rule iffI) apply (clarsimp simp add: word_rcat_def bin_rcat_def) apply (rule conjI) apply (subgoal_tac "h + 4 = (Suc (Suc (Suc (Suc h))))"; simp) apply (erule back_subst[where P="\<lambda>v. v = {ContinuingElm True}"]) apply (auto)[1] apply (clarsimp simp add: word_rcat_def bin_rcat_def) apply (rule conjI) apply (subgoal_tac "h + 4 = (Suc (Suc (Suc (Suc h))))"; simp only:) apply (erule back_subst[where P="\<lambda>v. v = {ContinuingElm True}"]) apply (auto)[1] done lemma uu_addr [simp] : "(ucast (ucast (a :: address) :: w256) :: address) = a" apply(rule ucast_down_ucast_id) apply(simp add: is_down_def target_size_def source_size_def word_size) done lemma this_balance : "triple net {OutOfGas} (\<langle> h \<le> 1023 \<and> unat bn \<ge> 2463000 \<and> at_least_eip150 net\<rangle> ** block_number_pred bn ** stack_height h ** program_counter k ** this_account t ** balance t b ** gas_pred g ** account_existence c existence **continuing) {(k, Info ADDRESS), (k + 1, Info BALANCE)} (block_number_pred bn ** stack_height (h + 1) ** stack h b ** balance t b ** program_counter (2 + k) ** this_account t ** gas_pred (g - Gbase - 400) ** account_existence c existence **continuing )" apply(auto) apply(rule_tac cL = "{(k, Info ADDRESS)}" and cR = "{(k + 1, Info BALANCE)}" in composition) apply(auto) apply(rule_tac R = "balance t b ** block_number_pred bn" in frame_backward) apply(rule_tac h = h and g = g and t = t in address_gas_triple) apply (auto simp: sep_conj_ac) apply(rule_tac R = "this_account t" in frame_backward) apply(rule_tac h = h and g = "g - 2" and bn = bn and a = "ucast t" and b = b in balance_gas_triple) apply(auto simp: sep_conj_ac) done lemma caller_gas : " triple net {OutOfGas} (\<langle> h \<le> 1022 \<rangle> ** stack_height h ** program_counter k ** caller c ** gas_pred g ** account_existence c existence ** continuing) {(k, Info CALLER), (k + 1, Stack (PUSH_N [8, 0]))} (stack_height (h + 2) ** stack (Suc h) (word_rcat [(8 :: byte), 0]) ** stack h (ucast c) ** program_counter (4 + k) ** caller c ** gas_pred (g - 2 - Gverylow) ** account_existence c existence ** continuing ) " apply(auto) apply(rule_tac cL = "{(k, Info CALLER)}" and cR = "{(k + 1, Stack (PUSH_N [8, 0]))}" in composition) apply(auto) apply(rule strengthen_pre) apply(rule_tac h = "h" and c = c and g = g in caller_gas_triple) apply(auto) apply(rule_tac R = "stack h (ucast c) ** caller c" in frame_backward) apply(rule_tac h = "Suc h" and g = "g - 2" in push_gas_triple) apply(auto simp: sep_conj_ac) done lemma program_counter_comm : "program_counter (x + y) = program_counter (y + x)" (* sledgehammer *) proof - have "y + x = x + y" by presburger then show ?thesis by presburger qed lemma first_three_args : "triple net {OutOfGas} (\<langle> h \<le> 1021 \<and> unat bn \<ge> 2463000 \<and> at_least_eip150 net\<rangle> ** block_number_pred bn ** caller c ** stack_height h ** program_counter k ** this_account t ** balance t b ** gas_pred g ** account_existence c existence ** continuing) {(k, Info ADDRESS), (k + 1, Info BALANCE), (k + 2, Info CALLER), (k + 3, Stack (PUSH_N [8, 0]))} (block_number_pred bn ** caller c ** stack_height (h + 3) ** stack (Suc (Suc h)) (word_rcat [(8 :: byte), 0]) ** stack (Suc h) (ucast c) ** stack h b ** balance t b ** program_counter (6 + k) ** this_account t ** gas_pred (g - 404 - Gverylow) ** account_existence c existence **continuing )" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Info ADDRESS), (k + 1, Info BALANCE)}" and cR = "{(k + 2, Info CALLER), (k + 3, Stack (PUSH_N [8, 0]))}" in composition) apply(auto)[1] apply(rule_tac R = "caller c" in frame_backward) apply(rule_tac h = h and bn = bn and g = g and t = t and b = b in this_balance) apply(auto) apply (auto simp: sep_conj_ac) apply(rule_tac R = "balance t b ** stack h b ** block_number_pred bn ** this_account t" in frame_backward) apply(rule triple_code_eq) apply(rule_tac k = "k + 2" and h = "Suc h" and c = c and g = "g - Gbase - 400" in caller_gas) apply simp apply auto[1] apply (auto simp: sep_conj_ac)[1] apply (clarsimp simp: sep_conj_ac) apply (subgoal_tac "(Suc (Suc (Suc h))) = h + 3"; simp only: sep_conj_ac) done lemma four_plus: " h + 4 = (Suc (Suc (Suc (Suc h))))" apply(simp) done lemma five_plus: "h + 5 = Suc (Suc (Suc (Suc (Suc h))))" apply(simp) done lemma six_plus: "h + 6 = Suc (Suc (Suc (Suc (Suc (Suc h)))))" apply(simp) done lemma sep_conj_eq: "P = P' \<Longrightarrow> Q = Q' \<Longrightarrow> (P \<and>* Q) = (P' \<and>* Q')" by auto lemma seven_args: "triple net {OutOfGas} (\<langle> h \<le> 1017 \<and> 2463000 \<le> unat bn \<and> at_least_eip150 net\<rangle> ** block_number_pred bn ** caller c ** stack_height h ** program_counter k ** this_account t ** balance t b ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [0])), (k + 2, Dup 0), (k + 3, Dup 0), (k + 4, Dup 0), (5 + k, Info ADDRESS), (6 + k, Info BALANCE), (7 + k, Info CALLER), (8 + k, Stack (PUSH_N [8, 0])) } (block_number_pred bn ** caller c ** stack_height (h + 7) ** stack (Suc (Suc (Suc (Suc (Suc (Suc h)))))) (word_rcat [(8 :: byte), 0]) ** stack (Suc (Suc (Suc (Suc (Suc h))))) (ucast c) ** stack (Suc (Suc (Suc (Suc h)))) b ** stack (Suc (Suc (Suc h))) (word_rcat [0]) ** stack (Suc (Suc h)) (word_rcat [0]) ** stack (Suc h) (word_rcat [0]) ** stack h (word_rcat [0]) ** program_counter (11 + k) ** this_account t ** balance t b ** gas_pred (g - 404 - 5 * Gverylow) ** account_existence c existence ** continuing )" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [0])), (k + 2, Dup 0), (k + 3, Dup 0), (k + 4, Dup 0)}" and cR = "{(5 + k, Info ADDRESS), (6 + k, Info BALANCE), (7 + k, Info CALLER), (8 + k, Stack (PUSH_N [8, 0]))}" in composition) apply(auto) apply(rule_tac R = "block_number_pred bn ** caller c ** this_account t ** balance t b" in frame_backward) apply(rule_tac h = h and g = g in pddd_triple) apply (simp add: sep_conj_ac) apply (rule refl) apply(rule_tac R = " stack h (word_rcat [0]) ** stack (Suc h) (word_rcat [0]) ** stack (Suc (Suc h)) (word_rcat [0]) ** stack (Suc (Suc (Suc h))) (word_rcat [0])" in frame_backward) apply(rule triple_code_eq) apply(rule_tac k = "5 + k" and bn = bn and h = "h + 4" and c = c and t = t and b = b and g = "g - 4 * Gverylow" in first_three_args) apply(simp) apply(simp add: sep_conj_ac)+ apply (rule sep_conj_eq[OF refl] )+ apply (rule ext, rule iffI) apply (sep_cancel)+ apply (simp only: semiring_normalization_rules(24) ) apply (sep_cancel)+ apply (auto simp: four_plus five_plus six_plus)[1] apply(simp only : four_plus five_plus six_plus) apply (sep_cancel)+ apply (simp only: semiring_normalization_rules(24) four_plus five_plus six_plus) done lemma pc_not_topmost [simp] : "\<forall> h. PcElm x6 \<notin> stack_topmost_elms h lst" apply(induction lst) apply(simp add: stack_topmost_elms.simps) apply(simp add: stack_topmost_elms.simps) done lemma contract_action_not_topmost [simp] : "\<forall> h. ContractActionElm x19 \<notin> stack_topmost_elms h lst" apply(induction lst; simp add: stack_topmost_elms.simps) done lemma plus_seven : "h + 7 = Suc (Suc (Suc (Suc (Suc (Suc (Suc h))))))" apply(simp) done lemma stack_topmost_translate_inner : "(stack_topmost h [out_size, out_begin, in_size, in_begin, v, r, g] ** rest) s = ((stack_height (h + 7) ** stack (Suc (Suc (Suc (Suc (Suc (Suc h)))))) g ** stack (Suc (Suc (Suc (Suc (Suc h))))) r ** stack (Suc (Suc (Suc (Suc h)))) v ** stack (Suc (Suc (Suc h))) in_begin ** stack (Suc (Suc h)) in_size ** stack (Suc h) out_begin ** stack h out_size) ** rest) s" by (auto simp add: stack_topmost_def four_plus five_plus six_plus plus_seven elim!:back_subst[where P=rest]) lemma stack_topmost_translate : "(stack_topmost h [out_size, out_begin, in_size, in_begin, v, r, g] ** rest) s = (stack_height (h + 7) ** stack (Suc (Suc (Suc (Suc (Suc (Suc h)))))) g ** stack (Suc (Suc (Suc (Suc (Suc h))))) r ** stack (Suc (Suc (Suc (Suc h)))) v ** stack (Suc (Suc (Suc h))) in_begin ** stack (Suc (Suc h)) in_size ** stack (Suc h) out_begin ** stack h out_size ** rest) s" apply(simp only: stack_topmost_translate_inner) apply(simp) done lemma tri_sep : "\<forall> s. c s = d s \<Longrightarrow> (a ** b ** c) k = (a ** b ** d) k" apply(simp add: sep_conj_def) done lemma stack_topmost_special_translate : "(a ** b ** stack_topmost h [out_size, out_begin, in_size, in_begin, v, r, g] ** rest) s = (a ** b ** stack_height (h + 7) ** stack (Suc (Suc (Suc (Suc (Suc (Suc h)))))) g ** stack (Suc (Suc (Suc (Suc (Suc h))))) r ** stack (Suc (Suc (Suc (Suc h)))) v ** stack (Suc (Suc (Suc h))) in_begin ** stack (Suc (Suc h)) in_size ** stack (Suc h) out_begin ** stack h out_size ** rest) s" apply(rule tri_sep) apply(simp only: stack_topmost_translate) apply(simp) done lemma seven_args_packed: "triple net {OutOfGas} (\<langle> h \<le> 1017 \<and> 2463000 \<le> unat bn \<and> at_least_eip150 net\<rangle> ** block_number_pred bn ** caller c ** stack_height h ** program_counter k ** this_account t ** balance t b ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [0])), (k + 2, Dup 0), (k + 3, Dup 0), (k + 4, Dup 0), (5 + k, Info ADDRESS), (6 + k, Info BALANCE), (7 + k, Info CALLER), (8 + k, Stack (PUSH_N [8, 0])) } (block_number_pred bn ** caller c ** stack_topmost h [word_rcat [0], word_rcat [0], word_rcat [0], word_rcat [0], b, ucast c, 2048] ** program_counter (11 + k) ** this_account t ** balance t b ** gas_pred (g - 404 - 5 * Gverylow) ** account_existence c existence ** continuing )" apply(rule weaken_post) apply(rule seven_args) apply(simp only: stack_topmost_special_translate) apply (rule allI) apply (rule impI) apply sep_cancel+ apply (simp add: word_rcat_def bin_rcat_def bin_cat_def) done lemma word_of_int_bin_cat: "((word_of_int (bin_cat 8 8 0))::256 word) = 2048" by (simp add: bin_cat_def) lemma unat_word_rcat_0: "unat (word_rcat [0::byte]) = 0" by (auto simp: word_rcat_def bin_rcat_def bin_cat_def) lemma call_with_args: "triple net {OutOfGas} (\<langle> h \<le> 1017 \<and> 2463000 \<le> unat bn \<and> at_least_eip150 net\<rangle> ** block_number_pred bn ** caller c ** stack_height h ** program_counter k ** this_account t ** balance t b ** gas_pred g ** account_existence c existence ** continuing ** memory_usage u ) {(k, Stack (PUSH_N [0])), (k + 2, Dup 0), (k + 3, Dup 0), (k + 4, Dup 0), (5 + k, Info ADDRESS), (6 + k, Info BALANCE), (7 + k, Info CALLER), (8 + k, Stack (PUSH_N [8, 0])), (11 + k, Misc CALL) } (block_number_pred bn ** caller c ** memory_usage u ** stack_topmost h [] ** program_counter (12 + k) ** this_account t ** balance t 0 ** gas_any ** account_existence c existence ** not_continuing ** action (ContractCall \<lparr> callarg_gas = (word_of_int (Ccallgas 2048 (ucast c) b (\<not> existence) (g - 404 - 5 * Gverylow) net (calc_memu_extra u 2048 (ucast c) b 0 0 0 0))) , callarg_code = c , callarg_recipient = c , callarg_value = b , callarg_data = [] , callarg_output_begin = word_rcat [0] , callarg_output_size = word_rcat [0] \<rparr>) )" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [0])), (k + 2, Dup 0), (k + 3, Dup 0), (k + 4, Dup 0), (5 + k, Info ADDRESS), (6 + k, Info BALANCE), (7 + k, Info CALLER), (8 + k, Stack (PUSH_N [8, 0]))}" and cR = "{(11 + k, Misc CALL)}" in composition) apply(auto) apply(rule_tac R = "memory_usage u" in frame_backward) apply(rule_tac k = k and h = h and c = c and bn = bn and t = t and b = b and g = g in seven_args_packed) apply(simp add: ) apply (rule refl) apply simp apply(rule_tac R = "block_number_pred bn ** caller c" in frame_backward) apply(rule_tac h = h and v = b and fund = b and input = "[]" and in_size = "word_rcat [0::byte]" and in_begin = "word_rcat [0::byte]" and out_size = "word_rcat [0::byte]" and out_begin = "word_rcat [0::byte]" and g = "2048" and r = "ucast c" and own_gas = "(g - 404 - 5 * Gverylow)" and this = t and u = u and existence = existence in call_gas_triple) apply (simp add: sep_conj_ac unat_word_rcat_0) apply (simp add: sep_conj_ac unat_word_rcat_0) apply (rule sep_conj_eq[OF refl] )+ apply (rule ext, rule iffI) apply sep_cancel+ apply(auto simp add: word_rcat_def bin_rcat_def word_of_int_bin_cat M_def)[1] apply sep_cancel+ apply(auto simp add: word_rcat_def bin_rcat_def word_of_int_bin_cat M_def)[1] done lemma equal_pred : "P = Q \<Longrightarrow> \<forall> s. P s \<longrightarrow> Q s" apply(simp) done lemma push0sload : "triple net {OutOfGas} (\<langle> h \<le> 1023 \<and> unat bn \<ge> 2463000 \<and> at_least_eip150 net\<rangle> ** block_number_pred bn ** stack_height h ** program_counter k ** storage (word_rcat [0::8 word]) w ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [0::8 word])), (k + 2, Storage SLOAD)} (block_number_pred bn ** stack_height (h + 1) ** stack h w ** program_counter (3 + k) ** storage (word_rcat [0::8 word]) w ** gas_pred (g - Gverylow - Gsload net) ** account_existence c existence ** continuing )" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [0]))}" and cR = "{(k + 2, Storage SLOAD)}" in composition) apply(auto) apply(rule_tac R = "block_number_pred bn ** storage (word_rcat [0:: 8 word]) w" in frame_backward) apply(rule_tac h = h and g = g in push_gas_triple) apply(simp add: sep_conj_ac) apply (rule sep_conj_eq[OF refl])+ apply (rule refl) apply(simp) apply(rule_tac R = "emp" in frame_backward) apply(rule_tac bn = bn and h = h and w = w and g = "g - Gverylow" and idx = "(word_rcat [0:: 8 word]):: 256 word" in sload_gas_triple) apply(auto) apply (simp add: sep_conj_ac) apply (rule sep_conj_eq[OF refl])+ apply (simp only: semiring_normalization_rules(24)) apply (rule sep_conj_eq[OF refl])+ apply (sep_simp simp: emp_sep) done lemma caller_eq : "triple net {OutOfGas} ( \<langle> h \<le> 1022 \<rangle> ** stack_height (h + 1) ** stack h w ** program_counter k ** caller c ** gas_pred g ** account_existence c existence ** continuing ) {(k, Info CALLER), (k + 1, Arith inst_EQ)} ( stack_height (h + 1) ** stack h (if ucast c = w then((word_of_int 1) :: 256 word) else((word_of_int 0) :: 256 word)) ** program_counter (k + 2) ** caller c ** gas_pred (g - Gbase - Gverylow) ** account_existence c existence ** continuing )" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Info CALLER)}" and cR = "{(k + 1, Arith inst_EQ)}" in composition) apply(auto) apply(rule_tac R = "stack h w" in frame_backward) apply(rule_tac h = "Suc h" and g = g and c = c in caller_gas_triple) apply(simp add: sep_conj_ac) apply (rule sep_conj_eq[OF refl])+ apply(simp add: sep_conj_ac) apply (sep_simp simp: emp_sep) apply(simp) apply(rule_tac R = "caller c" in frame_backward) apply(rule_tac h = h and g = "g - 2" and v = "ucast c" and w = "ucast c" in eq_gas_triple) apply(simp) apply (simp add: sep_conj_ac semiring_normalization_rules(24))+ apply(rule_tac cL = "{(k, Info CALLER)}" and cR = "{(k + 1, Arith inst_EQ)}" in composition) apply(auto) apply(rule_tac R = "stack h w" in frame_backward) apply(rule_tac h = "Suc h" and g = g and c = c in caller_gas_triple) apply(simp add: sep_conj_ac) apply (rule refl) apply(simp) apply(rule_tac R = "caller c" in frame_backward) apply(rule_tac h = h and g = "g - 2" and v = "ucast c" and w = "w" in eq_gas_triple) apply (simp add: sep_conj_ac semiring_normalization_rules(24))+ done lemma first_four : "triple net {OutOfGas} (\<langle> h \<le> 1022 \<and> unat bn \<ge> 2463000 \<and> at_least_eip150 net\<rangle> ** block_number_pred bn ** stack_height h ** program_counter k ** caller c ** storage (word_rcat [0::8 word]) w ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [0])), (k + 2, Storage SLOAD), (k + 3, Info CALLER), (k + 4, Arith inst_EQ)} (block_number_pred bn ** stack_height (h + 1) ** stack h (if ucast c = w then((word_of_int 1) :: 256 word) else((word_of_int 0) :: 256 word)) ** program_counter (5 + k) ** caller c ** storage (word_rcat [0::8 word]) w ** gas_pred (g + (- Gsload net - 2) - 2 * Gverylow) ** account_existence c existence ** continuing )" apply(simp only: move_pureL) apply(rule impI) apply(rule_tac cL = "{(k, Stack (PUSH_N [0])), (k + 2, Storage SLOAD)}" and cR = "{(k + 3, Info CALLER), (k + 4, Arith inst_EQ)}" in composition) apply blast apply(rule_tac R = "caller c" in frame_backward) apply(rule_tac h = h and bn = bn and w = w and g = g in push0sload) apply(simp add: sep_conj_ac) apply (rule refl) apply(rule_tac R = "storage (word_rcat [0::8 word]) w ** block_number_pred bn" in frame_backward) apply(rule triple_code_eq) apply(rule_tac k = "k + 3" and h = h and w = w and c = c and g = "g - Gverylow - Gsload net" in caller_eq) apply (simp add: sep_conj_ac semiring_normalization_rules(24))+ done lemma pushjumpi_false: "triple net {OutOfGas} (\<langle> h \<le> 1022 \<rangle> ** stack_height (h + 1) ** stack h 0 ** program_counter k ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [x])), (k + 2, Pc JUMPI)} (stack_height h ** program_counter (k + 3) ** gas_pred (g - Gverylow - Ghigh) ** account_existence c existence ** continuing)" apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [x]))}" and cR = "{(k + 2, Pc JUMPI)}" in composition) apply blast apply(rule_tac R = "stack h 0" in frame_backward) apply(rule_tac g = g and h = "Suc h" in push_gas_triple) apply(auto simp: sep_conj_ac) apply(rule_tac R = "emp" in frame_backward) apply(rule_tac h = h and g = "g - Gverylow" and d = "(word_rcat [x])" in jumpi_false_gas_triple) apply(auto simp: sep_conj_ac) done lemma pushjumpistop_false : "triple net {OutOfGas} (\<langle> h \<le> 1022 \<rangle> ** stack_height (h + 1) ** stack h 0 ** program_counter k ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [x])), (k + 2, Pc JUMPI), (k + 3, Misc STOP)} (stack_height h ** program_counter (k + 3) ** gas_pred (g - Gverylow - Ghigh) ** account_existence c existence ** not_continuing ** action (ContractReturn []))" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [x])), (k + 2, Pc JUMPI)}" and cR = "{(k + 3, Misc STOP)}" in composition) apply(auto) apply(rule strengthen_pre) apply(rule_tac h = h and g = g in pushjumpi_false) apply(auto) apply(rule_tac R = "gas_pred (g - Gverylow - Ghigh)" in frame_backward) apply(rule_tac h = h in stop_gas_triple) apply(simp add: sep_conj_ac)+ done lemma prefix_invalid_caller: "triple net {OutOfGas} (\<langle> h \<le> 1022 \<and> unat bn \<ge> 2463000 \<and> at_least_eip150 net \<and> ucast c \<noteq> w\<rangle> ** block_number_pred bn ** stack_height h ** program_counter k ** caller c ** storage (word_rcat [0::8 word]) w ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [0])), (k + 2, Storage SLOAD), (k + 3, Info CALLER), (k + 4, Arith inst_EQ), (k + 5, Stack (PUSH_N [x])), (k + 7, Pc JUMPI), (k + 8, Misc STOP)} (block_number_pred bn ** stack_height h ** program_counter (8 + k) ** caller c ** storage (word_rcat [0:: 8 word]) w ** gas_pred (g + (- Gsload net - 2) - 2 * Gverylow - Gverylow - Ghigh) ** account_existence c existence ** not_continuing ** action (ContractReturn []))" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [0])), (k + 2, Storage SLOAD), (k + 3, Info CALLER), (k + 4, Arith inst_EQ)}" and cR = "{(k + 5, Stack (PUSH_N [x])), (k + 7, Pc JUMPI), (k + 8, Misc STOP)}" in composition) apply(auto) apply(rule_tac R = emp in frame_backward) apply(rule_tac h = h and bn = bn and c = c and g = g and w = w in first_four) apply(simp add: sep_conj_ac) apply(simp) apply(rule_tac R = "block_number_pred bn ** caller c ** storage (word_rcat [0::8 word]) w" in frame_backward) apply(rule triple_code_eq) apply(rule_tac h = h and k = "k + 5" and x = x and g = "(g + (- Gsload net - 2) - 2 * Gverylow)" in pushjumpistop_false) apply(auto simp: sep_conj_ac) done lemma bintrunc_byte_uint : "bintrunc 8 (uint (d :: byte)) = uint d" apply(rule Word.bintr_uint) apply(simp) done lemma word_rcat_single [simp] : "(word_rcat [(d :: byte)] :: w256) = ucast d" apply(simp add: word_rcat_def bin_rcat_def bintrunc_byte_uint ucast_def) done lemma uint_ucast_bw [simp] : "uint (ucast (d :: byte) :: w256) = uint d" apply(rule uint_up_ucast) apply(simp add: is_up source_size_def target_size_def) done lemma pushjumpi_true: "triple net {OutOfGas} (\<langle> h \<le> 1022 \<and> cond \<noteq> 0 \<rangle> ** stack_height (h + 1) ** stack h cond ** program_counter k ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [d])), (k + 2, Pc JUMPI), ((uint (ucast d :: w256)), Pc JUMPDEST)} (stack_height h ** program_counter (uint d) ** gas_pred (g - Gverylow - Ghigh) ** account_existence c existence ** continuing)" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [d]))}" and cR = "{(k + 2, Pc JUMPI), ((uint (ucast d :: w256)), Pc JUMPDEST)}" in composition) apply(auto) apply(rule_tac R = "stack h cond" in frame_backward) apply(rule_tac h = "h + 1" and g = g in push_gas_triple) apply(simp add: sep_conj_ac) apply(simp) apply(rule_tac R = "emp" in frame_backward) apply(rule triple_code_eq) apply(rule_tac g = "g - Gverylow" and cond = cond and h = h and k = "k + 2" and d = "ucast d" in jumpi_true_gas_triple) apply(simp add: sep_conj_ac semiring_normalization_rules(24))+ done lemma prefix_true: "triple net {OutOfGas} (\<langle> h \<le> 1022 \<and> unat bn \<ge> 2463000 \<and> at_least_eip150 net \<rangle> ** block_number_pred bn ** stack_height h ** program_counter k ** caller c ** storage (word_rcat [0::byte]) (ucast c) ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [0])), (k + 2, Storage SLOAD), (k + 3, Info CALLER), (k + 4, Arith inst_EQ), (5 + k, Stack (PUSH_N [d])), (k + 7, Pc JUMPI), ((uint (ucast d :: w256)), Pc JUMPDEST)} (block_number_pred bn ** stack_height h ** program_counter (uint d) ** caller c ** storage (word_rcat [0::byte]) (ucast c) ** gas_pred (g + (- Gsload net - 2) - 3 * Gverylow - Ghigh) ** account_existence c existence ** continuing )" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [0])), (k + 2, Storage SLOAD), (k + 3, Info CALLER), (k + 4, Arith inst_EQ)}" and cR = "{(5 + k, Stack (PUSH_N [d])), (k + 7, Pc JUMPI), ((uint (ucast d :: w256)), Pc JUMPDEST)}" in composition) apply(auto) apply(rule_tac R = emp in frame_backward) apply(rule_tac h = h and g = g and bn = bn and c = c and w = "ucast c" in first_four) apply(simp add: sep_conj_ac) apply(rule refl) apply(rule_tac R = "block_number_pred bn ** caller c ** storage (word_rcat [0::byte]) (ucast c)" in frame_backward) apply(rule triple_code_eq) apply(rule_tac h = h and k = "k + 5" and d = d and cond = 1 and g = "g + (- Gsload net - 2) - 2 * Gverylow" in pushjumpi_true) apply(simp add: sep_conj_ac semiring_normalization_rules(24) )+ done lemma prefix_true_over_JUMPDEST: "triple net {OutOfGas} (\<langle> h \<le> 1022 \<and> unat bn \<ge> 2463000 \<and> at_least_eip150 net \<rangle> ** block_number_pred bn ** stack_height h ** program_counter k ** caller c ** storage (word_rcat [0::byte]) (ucast c) ** gas_pred g ** account_existence c existence ** continuing ) {(k, Stack (PUSH_N [0])), (k + 2, Storage SLOAD), (k + 3, Info CALLER), (k + 4, Arith inst_EQ), (5 + k, Stack (PUSH_N [d])), (k + 7, Pc JUMPI), ((uint (ucast d :: w256)), Pc JUMPDEST)} (block_number_pred bn ** stack_height h ** program_counter ((uint d) + 1) ** caller c ** storage (word_rcat [0::byte]) (ucast c) ** gas_pred (g + (- Gsload net - 2) - 3 * Gverylow - Ghigh - Gjumpdest) ** account_existence c existence ** continuing )" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [0])), (k + 2, Storage SLOAD), (k + 3, Info CALLER), (k + 4, Arith inst_EQ), (5 + k, Stack (PUSH_N [d])), (k + 7, Pc JUMPI), ((uint (ucast d :: w256)), Pc JUMPDEST)}" and cR = "{((uint (ucast d :: w256)), Pc JUMPDEST)}" in composition) apply(auto) apply(rule_tac R = emp in frame_backward) apply(rule_tac triple_code_eq) apply(rule_tac bn = bn and h = h and c = c and g = g in prefix_true) apply(simp add: sep_conj_ac semiring_normalization_rules(24) )+ apply(rule_tac R = "block_number_pred bn ** caller c ** storage (word_rcat [0::byte]) (ucast c)" in frame_backward) apply(rule_tac h = h and g = "g + (- Gsload net - 2) - 3 * Gverylow - Ghigh" in jumpdest_gas_triple) apply(simp add: sep_conj_ac semiring_normalization_rules(24) )+ done lemma check_pass_whole: "triple net {OutOfGas} (\<langle> h \<le> 1017 \<and> unat bn \<ge> 2463000 \<and> at_least_eip150 net\<rangle> ** block_number_pred bn ** stack_height h ** program_counter k ** caller c ** storage (word_rcat [0::byte]) (ucast c) ** gas_pred g ** account_existence c existence ** continuing ** this_account t ** balance t b ** memory_usage u ) {(k, Stack (PUSH_N [0])), (k + 2, Storage SLOAD), (k + 3, Info CALLER), (k + 4, Arith inst_EQ), (5 + k, Stack (PUSH_N [d])), (k + 7, Pc JUMPI), (k + 8, Misc STOP), ((uint (ucast d :: w256)), Pc JUMPDEST), ((uint d) + 1, Stack (PUSH_N [0])), (3 + (uint d), Dup 0), (4 + uint d, Dup 0), (5 + uint d, Dup 0), (6 + uint d, Info ADDRESS), (7 + uint d, Info BALANCE), (8 + uint d, Info CALLER), (9 + uint d, Stack (PUSH_N [8, 0])), (12 + uint d, Misc CALL) } (memory_usage u ** stack_topmost h [] ** program_counter (uint d + 13) ** this_account t ** balance t 0 ** gas_any ** account_existence c existence ** not_continuing ** action (ContractCall \<lparr> callarg_gas = word_of_int (Ccallgas 2048 (ucast c) b (\<not> existence) (g + (- Gsload net - 406 - Gjumpdest - Ghigh) - 8 * Gverylow) net (calc_memu_extra u 2048 (ucast c) b 0 0 0 0)) , callarg_code = c , callarg_recipient = c , callarg_value = b , callarg_data = [] , callarg_output_begin = word_rcat [0] , callarg_output_size = word_rcat [0] \<rparr>) ** block_number_pred bn ** caller c ** storage (word_rcat [0::byte]) (ucast c) )" apply(simp only: move_pureL) apply(auto) apply(rule_tac cL = "{(k, Stack (PUSH_N [0])), (k + 2, Storage SLOAD), (k + 3, Info CALLER), (k + 4, Arith inst_EQ), (5 + k, Stack (PUSH_N [d])), (k + 7, Pc JUMPI), (k + 8, Misc STOP), ((uint (ucast d :: w256)), Pc JUMPDEST)}" and cR = "{((uint d) + 1, Stack (PUSH_N [0])), (3 + (uint d), Dup 0), (4 + uint d, Dup 0), (5 + uint d, Dup 0), (6 + uint d, Info ADDRESS), (7 + uint d, Info BALANCE), (8 + uint d, Info CALLER), (9 + uint d, Stack (PUSH_N [8, 0])), (12 + uint d, Misc CALL)}" in composition) apply(auto) apply(rule_tac R = "this_account t ** balance t b ** memory_usage u" in frame_backward) apply(rule code_extension_backward) apply(rule_tac h = h and k = k in prefix_true_over_JUMPDEST) apply(simp) apply(simp add: sep_conj_ac pure_def ) apply (rule sep_conj_eq[OF refl] )+ apply (sep_simp simp: pure_sep) apply simp apply (rule refl) apply(simp add: sep_conj_ac) apply(rule_tac R = "storage (word_rcat [0::byte]) (ucast c)" in frame_backward) apply(rule_tac triple_code_eq) apply(rule_tac bn = bn and h = h and k = "uint d + 1" and g = "g + (- Gsload net - 2) - 3 * Gverylow - Ghigh - Gjumpdest" in call_with_args) apply(simp) apply (simp add: sep_conj_ac) apply (simp add: sep_conj_ac semiring_normalization_rules(24)) done (* whole_concrete_program *) definition whole_concrete_program :: "(int * inst) set" where "whole_concrete_program = {(0, Stack (PUSH_N [0])), (* 6000 *) (2, Storage SLOAD), (* 54 *) (3, Info CALLER), (* 33 *) (4, Arith inst_EQ), (* 14 *) (5, Stack (PUSH_N [9])), (* 6009 *) (7, Pc JUMPI), (* 57 *) (8, Misc STOP), (* 00 *) (9, Pc JUMPDEST), (* 5b *) (10, Stack (PUSH_N [0])), (* 6000 *) (12, Dup 0), (* 80 *) (13, Dup 0), (* 80 *) (14, Dup 0), (* 80 *) (15, Info ADDRESS), (* 30 *) (16, Info BALANCE), (* 31 *) (17, Info CALLER), (* 33 *) (18, Stack (PUSH_N [8, 0])), (* 610800 *) (21, Misc CALL)}" (* f1 *) (* An implicit Misc STOP follows *) (* The runtime code has 22 bytes: *) (* 6000543314600957005b6000808080303133610800f1 *) (* To deploy this: 0: CALLER 33 1: 0 6000 3: SSTORE 55 4: 22 6016 6: x 6010 8: 0 6000 10: CODECOPY 39 11: 22 6016 13: 0 6000 15: RETURN f3 x = 16: 6000543314600957005b6000808080303133610800f1 *) (* The bytecode is: *) (* 336000556016601060003960166000f36000543314600957005b6000808080303133610800f1 *) (* check_pass_whole_concrete *) lemma check_pass_whole_concrete: "triple net {OutOfGas} (\<langle>unat bn \<ge> 2463000 \<and> at_least_eip150 net\<rangle> ** block_number_pred bn ** stack_height 0 ** program_counter 0 ** caller c ** storage (word_rcat [0::byte]) (ucast c) ** gas_pred g ** account_existence c existence ** continuing ** this_account t ** balance t b ** memory_usage 0 ) whole_concrete_program (memory_usage 0 ** stack_topmost 0 [] ** program_counter 22 ** this_account t ** balance t 0 ** gas_any ** account_existence c existence ** not_continuing ** action (ContractCall \<lparr> callarg_gas = word_of_int (Ccallgas 2048 (ucast c) b (\<not> existence) (g + (- Gsload net - 406 - Gjumpdest - Ghigh) - 8 * Gverylow) net (calc_memu_extra 0 2048 (ucast c) b 0 0 0 0)) , callarg_code = c , callarg_recipient = c , callarg_value = b , callarg_data = [] , callarg_output_begin = word_rcat [0] , callarg_output_size = word_rcat [0] \<rparr>) ** block_number_pred bn ** caller c ** storage (word_rcat [0::byte]) (ucast c) )" apply(simp only: move_pureL) apply(auto) apply(rule triple_code_eq) apply(rule_tac R = "emp" in frame_backward) apply(rule_tac k = 0 and d = 9 and h = 0 and bn = bn and c = c and g = g and u = 0 in check_pass_whole) apply(simp add: sep_conj_ac) apply(simp add: sep_conj_ac) apply(simp add: whole_concrete_program_def) done lemma whole_program_invalid_caller: "triple net {OutOfGas} (\<langle>unat bn \<ge> 2463000 \<and> at_least_eip150 net \<and> ucast c \<noteq> w\<rangle> ** block_number_pred bn ** stack_height 0 ** program_counter 0 ** caller c ** storage (word_rcat [0::byte]) w ** gas_pred g ** account_existence c existence ** continuing ) whole_concrete_program (block_number_pred bn ** stack_height 0 ** program_counter 8 ** caller c ** storage (word_rcat [0::byte]) w ** gas_pred (g + (- Gsload net - 2) - 2 * Gverylow - Gverylow - Ghigh) ** account_existence c existence ** not_continuing ** action (ContractReturn []))" apply(auto) apply(rule code_extension_backward) apply(rule_tac R = emp in frame_backward) apply(rule_tac h = 0 and bn = bn and c = c and w = w and x = 9 in prefix_invalid_caller) apply(simp add: sep_conj_ac) apply(simp add: sep_conj_ac) apply(simp add: whole_concrete_program_def) done (* how to test the contract // build geth $ cd shared $ git clone [email protected]:ethereum/go-ethereum.git $ cd go-ethereum $ make // setup chain $ rm -rf ~/dapps/testing/00 $ mkdir -p ~/dapps/testing/00 $ cat > ~/dapps/testing/00/genesis.json { "alloc": { }, "nonce": "0x0000000000000042", "difficulty": "0x00400", "mixhash": "0x0000000000000000000000000000000000000000000000000000000000000000", "coinbase": "0x0000000000000000000000000000000000000000", "timestamp": "0x00", "parentHash": "0x0000000000000000000000000000000000000000000000000000000000000000", "extraData": "0x11bbe8db4e347b4e8c937c1c8370e4b5ed33adb3db69cbdb7a38e1e50b1b82fa", "gasLimit": "0x4c4b40" } $ build/bin/geth --datadir ~/dapps/testing/00/ --networkid 4995690 init ~/dapps/testing/00/genesis.json $ build/bin/geth --datadir ~/dapps/testing/00/ --networkid 4995690 --nodiscover --maxpeers 0 --verbosity 6 console 2>> ~/dapps/testing/00/00.log // create two accounts > eth.accounts [] // see how many there are > personal.newAccount("empty") > personal.newAccount("empty") > owner = eth.accounts[0] > other = eth.accounts[1] // mine some ether. > miner.start(8); admin.sleepBlocks(3); miner.stop() > personal.unlockAccount(owner) // send half ether from owner to other > eth.sendTransaction({from: owner, to: other, value: eth.getBalance(owner) / 2}) > miner.start(8); admin.sleepBlocks(1); miner.stop() > eth.getBalance(owner) > eth.getBalance(other) // owner deploys the contract > bytecode = "0x336000556016601060003960166000f36000543314600957005b6000808080303133610800f1" > tx = eth.sendTransaction({from: owner, data: bytecode }) > miner.start(8); admin.sleepBlocks(1); miner.stop() // get the transaction receipt > re = eth.getTransactionReceipt(tx) // set contract as the address of the contract > contract = re.contractAddress // check the storage content of the contract > eth.getStorageAt(contract, 0, "latest") "0x0000000000000000000000008d8182285c55959f8c33995492edc3facf3e00c3" > owner "0x8d8182285c55959f8c33995492edc3facf3e00c3" > eth.getCode(contract, "latest") "0x6000543314600957005b60008080803031335af1" // send owner to contract, some amount —> should bounce > personal.unlockAccount(owner) > eth.sendTransaction({from: owner, to: contract, value: web3.toWei(2, "ether")}) > miner.start(8); admin.sleepBlocks(1) > miner.stop() > eth.getBalance(owner) 173515625000000000000 > eth.getBalance(contract) 0 // send other to contract, some amount —> the contract’s balance should increase > personal.unlockAccount(other) > eth.sendTransaction({from: other, to: contract, value: web3.toWei(3, "ether")}) > miner.start(8); admin.sleepBlocks(1); miner.stop() > eth.getBalance(other) 52702703580000000000 > eth.getBalance(contract) 3000000000000000000 // send other to contract, some more amount —> the contract’s balance should again increase > eth.sendTransaction({from: other, to: contract, value: web3.toWei(1, "ether")}) > > eth.getBalance(other) 51702282160000000000 > eth.getBalance(contract) 4000000000000000000 // owner calls the contract —> all funds should move from the contract to the owner > eth.getBalance(owner) > personal.unlockAccount(owner) > eth.sendTransaction({from: owner, to: contract}) > miner.start(8); admin.sleepBlocks(1); miner.stop() > eth.getBalance(owner) > eth.getBalance(contract) *) end end
Isabelle
5
pirapira/eth-isabelle
example/SimpleWallet.thy
[ "Apache-2.0" ]
{%- include 'partials/inputs.volt' -%} {{ flashSession.output() }} <div class="row"> <div class="col-sm-12"> <div class="card card-success"> <div class="card-header"> <h3 class="card-title">Run Migration</h3> </div> <div class="card-body"> <p>Migrations from: [{{ migration_path }}]</p> <form role="form" class="form-horizontal" name="generate-migration" method="post" action="{{ url.get(webtools_uri ~ "/migrations/run") }}"> <div class="form-group"> <label for="oldVersion" class="col-sm-2 control-label">Current Version</label> <div class="col-sm-10"> {{ input_disabled("oldVersion") }} </div> </div> <div class="form-group"> <label for="basePath" class="col-sm-2 control-label">Project Root</label> <div class="col-sm-10"> {{ input("basePath", "The absolute path to the project") }} <span class="help-block">Directory where the project was created</span> </div> </div> <div class="form-group"> <label for="migrationsDir" class="col-sm-2 control-label">Migrations Dir</label> <div class="col-sm-10"> {{ input("migrationsDir", "The absolute path to the model directory") }} <span class="help-block">The absolute path to the migrations directory</span> </div> </div> <hr/> {{ submit_button("Run", "class": "btn btn-success pull-right") }} </form> </div> </div> </div> </div>
Volt
4
PSD-Company/phalcon-devtools-docker
src/Web/Tools/Views/migrations/run.volt
[ "BSD-3-Clause" ]
CREATE TABLE course ( id bigint(20) NOT NULL, PRIMARY KEY (id) ); CREATE TABLE student ( id bigint(20) NOT NULL, PRIMARY KEY (id) ); CREATE TABLE course_like ( student_id bigint(20) NOT NULL, course_id bigint(20) NOT NULL, PRIMARY KEY (student_id, course_id), CONSTRAINT fk_course_like__student FOREIGN KEY (student_id) REFERENCES student (id), CONSTRAINT fk_course_like__course FOREIGN KEY (course_id) REFERENCES course (id) ); CREATE TABLE course_rating ( course_id bigint(20) NOT NULL, student_id bigint(20) NOT NULL, rating int(11) NOT NULL, PRIMARY KEY (course_id, student_id), CONSTRAINT fk_course_rating__student FOREIGN KEY (student_id) REFERENCES student (id), CONSTRAINT fk_course_rating__course FOREIGN KEY (course_id) REFERENCES course (id) ); CREATE TABLE course_registration ( id bigint(20) NOT NULL, grade int(11), registered_at datetime NOT NULL, course_id bigint(20) NOT NULL, student_id bigint(20) NOT NULL, PRIMARY KEY (id), CONSTRAINT fk_course_registration__student FOREIGN KEY (student_id) REFERENCES student (id), CONSTRAINT fk_course_registration__course FOREIGN KEY (course_id) REFERENCES course (id) );
SQL
4
DBatOWL/tutorials
persistence-modules/spring-jpa-2/src/test/resources/manytomany/db.sql
[ "MIT" ]
/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.spark.sql.catalyst.optimizer import org.apache.spark.sql.Row import org.apache.spark.sql.catalyst.dsl.expressions._ import org.apache.spark.sql.catalyst.dsl.plans._ import org.apache.spark.sql.catalyst.expressions.{CurrentRow, Rank, RowFrame, RowNumber, SpecifiedWindowFrame, UnboundedPreceding} import org.apache.spark.sql.catalyst.plans._ import org.apache.spark.sql.catalyst.plans.logical._ import org.apache.spark.sql.catalyst.rules._ import org.apache.spark.sql.internal.SQLConf class LimitPushdownThroughWindowSuite extends PlanTest { // CollapseProject and RemoveNoopOperators is needed because we need it to collapse project. private val limitPushdownRules = Seq( CollapseProject, RemoveNoopOperators, LimitPushDownThroughWindow, EliminateLimits, ConstantFolding, BooleanSimplification) private object Optimize extends RuleExecutor[LogicalPlan] { val batches = Batch("Limit pushdown through window", FixedPoint(100), limitPushdownRules: _*) :: Nil } private object WithoutOptimize extends RuleExecutor[LogicalPlan] { val batches = Batch("Without limit pushdown through window", FixedPoint(100), limitPushdownRules .filterNot(_.ruleName.equals(LimitPushDownThroughWindow.ruleName)): _*) :: Nil } private val testRelation = LocalRelation.fromExternalRows( Seq("a".attr.int, "b".attr.int, "c".attr.int), 1.to(6).map(_ => Row(1, 2, 3))) private val a = testRelation.output(0) private val b = testRelation.output(1) private val c = testRelation.output(2) private val windowFrame = SpecifiedWindowFrame(RowFrame, UnboundedPreceding, CurrentRow) test("Push down limit through window when partitionSpec is empty") { val originalQuery = testRelation .select(a, b, c, windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn")) .limit(2) val correctAnswer = testRelation .select(a, b, c) .orderBy(c.desc) .limit(2) .select(a, b, c, windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn")) comparePlans( Optimize.execute(originalQuery.analyze), WithoutOptimize.execute(correctAnswer.analyze)) } test("Push down limit through window for multiple window functions") { val originalQuery = testRelation .select(a, b, c, windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn"), windowExpr(new Rank(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rk")) .limit(2) val correctAnswer = testRelation .select(a, b, c) .orderBy(c.desc) .limit(2) .select(a, b, c, windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn"), windowExpr(new Rank(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rk")) comparePlans( Optimize.execute(originalQuery.analyze), WithoutOptimize.execute(correctAnswer.analyze)) } test("Push down limit through window respect spark.sql.execution.topKSortFallbackThreshold") { Seq(1, 100).foreach { threshold => withSQLConf(SQLConf.TOP_K_SORT_FALLBACK_THRESHOLD.key -> threshold.toString) { val originalQuery = testRelation .select(a, b, c, windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn")) .limit(2) val correctAnswer = if (threshold == 1) { originalQuery } else { testRelation .select(a, b, c) .orderBy(c.desc) .limit(2) .select(a, b, c, windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn")) } comparePlans( Optimize.execute(originalQuery.analyze), WithoutOptimize.execute(correctAnswer.analyze)) } } } test("Push down to first window if order column is different") { val originalQuery = testRelation .select(a, b, c, windowExpr(RowNumber(), windowSpec(Nil, b.desc :: Nil, windowFrame)).as("rn"), windowExpr(new Rank(), windowSpec(Nil, c.asc :: Nil, windowFrame)).as("rk")) .limit(2) val correctAnswer = testRelation .select(a, b, c, windowExpr(RowNumber(), windowSpec(Nil, b.desc :: Nil, windowFrame)).as("rn")) .orderBy(c.asc) .limit(2) .select(a, b, c, $"rn".attr, windowExpr(new Rank(), windowSpec(Nil, c.asc :: Nil, windowFrame)).as("rk")) comparePlans( Optimize.execute(originalQuery.analyze), WithoutOptimize.execute(correctAnswer.analyze)) } test("Push down if there is a Project between LocalLimit and Window") { val originalQuery = testRelation .select(a, b, windowExpr(RowNumber(), windowSpec(Nil, b.desc :: Nil, windowFrame)).as("rn")) .select(a, $"rn".attr) .limit(2) val correctAnswer = testRelation .select(a, b) .orderBy(b.desc) .limit(2) .select(a, windowExpr(RowNumber(), windowSpec(Nil, b.desc :: Nil, windowFrame)).as("rn")) comparePlans( Optimize.execute(originalQuery.analyze), WithoutOptimize.execute(correctAnswer.analyze)) } test("Should not push down if partitionSpec is not empty") { val originalQuery = testRelation .select(a, b, c, windowExpr(RowNumber(), windowSpec(a :: Nil, c.desc :: Nil, windowFrame)).as("rn")) .limit(2) comparePlans( Optimize.execute(originalQuery.analyze), WithoutOptimize.execute(originalQuery.analyze)) } test("Should not push down when child's maxRows smaller than limit value") { val originalQuery = testRelation .select(a, b, c, windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn")) .limit(20) comparePlans( Optimize.execute(originalQuery.analyze), WithoutOptimize.execute(originalQuery.analyze)) } test("Should not push down if it is not RankLike/RowNumberLike window function") { val originalQuery = testRelation .select(a, b, c, windowExpr(count(b), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn")) .limit(2) comparePlans( Optimize.execute(originalQuery.analyze), WithoutOptimize.execute(originalQuery.analyze)) } }
Scala
5
akhalymon-cv/spark
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/LimitPushdownThroughWindowSuite.scala
[ "Apache-2.0" ]
package com.baeldung.springevents.synchronous; public class GenericSpringEvent<T> { private final T what; protected final boolean success; public GenericSpringEvent(final T what, final boolean success) { this.what = what; this.success = success; } public T getWhat() { return what; } public boolean isSuccess() { return success; } }
Java
4
DBatOWL/tutorials
spring-core-2/src/main/java/com/baeldung/springevents/synchronous/GenericSpringEvent.java
[ "MIT" ]
<form method='POST' action="{{postUrl}}"> {{{csrfTag}}} {{#itemTable}} {{>table}} {{/itemTable}} <div class="block"> <input class="button is-link" type="submit" value="Start selected tasks" name="startTaskButton"/> </div> </form>
HTML+Django
3
asahiocean/joplin
packages/server/src/views/admin/tasks.mustache
[ "MIT" ]
/* Copyright 2020 Scott Bezek and the splitflap contributors Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ module rounded_square(size, center=false, r=0.0, corners=[0,1,2,3], $fn=$fn) { translation_matrix = [ [-1, -1], [-1, 1], [ 1, 1], [ 1, -1], ]; module add_corner(index, center, r) { // this is tiny because the geometry is 'hull'ed and we need to get out // of the way of the rounds at larger radii square_size = 0.001; function circle_offset(axis) = center[axis] * translation_matrix[index][axis]; function square_offset(axis) = center[axis] * translation_matrix[index][axis] + r * translation_matrix[index][axis] + (translation_matrix[index][axis] >= 1 ? -square_size : 0); if(len(search(index, corners)) > 0) translate([circle_offset(0), circle_offset(1)]) circle(r=r, $fn=$fn); else { translate([square_offset(0), square_offset(1)]) square(square_size); } } width = size[0] == undef ? size : size[0]; // unpack vector if present height = size[1] == undef ? size : size[1]; if(r <= 0.0) { square([width, height], center=center); } else { radius = min(min(r, width/2), height/2); // radius cannot be larger than rectangle center_x = center ? 0 : width/2; center_y = center ? 0 : height/2; translate([center_x, center_y]) { hull() { x = width/2 - radius; y = height/2 - radius; for(i = [0:3]) add_corner(i, [x, y], radius); } } } } module triangle(size, center=false) { width = size[0] == undef ? size : size[0]; // unpack vector if present height = size[1] == undef ? size : size[1]; pts = [ [ 0, 0], [width/2, height], [ width, 0], ]; x_offset = center ? -width/2 : 0; y_offset = center ? -height/2 : 0; translate([x_offset, y_offset]) polygon(points=pts, convexity=1); } module arrow(size, aspect=[0.5, 0.3], center=false) { function unpack(val, pos) = val[pos] == undef ? val : val[pos]; // use vector if possible, value otherwise function recenter(vect, pos) = center ? -vect[pos]/2 : 0; // if 'center', return negative vector position/2 size = [ unpack(size, 0), unpack(size, 1) ]; // overall bounding box ratio = [ unpack(aspect, 0), unpack(aspect, 1) ]; // ratio between head and body, 1.0 max head = [ size[0], size[1] * ratio[1] ]; // head bounding box base = [ size[0] * (1 - ratio[0]), size[1] - head[1] ]; // base bounding box translate([recenter(size, 0), recenter(size, 1)]) { translate([(size[0] - base[0]) / 2, 0]) square(base); translate([0, base[1]]) triangle(head); } } // positioned where origin is at the point to be rounded (first quadrant) module fillet_tool(r, overlap=0.01, $fn=$fn) { tool_size = r + overlap; translate([r, r, 0]) mirror([1, 1, 0]) difference() { square([tool_size, tool_size]); circle(r=r, $fn=$fn); } } module fillet_tool_3d(r, r_corner=undef, overlap=0.01, additive=false, $fn=$fn) { corner_radius = (r_corner == undef) ? r : r_corner; // use fillet radius if corner radius not provided translate([corner_radius, corner_radius, 0]) rotate([0, 180, 90]) rotate_extrude(angle=90, convexity=10, $fn=$fn) translate([corner_radius, 0, 0]) rotate([0, 0, additive ? -90 : 90]) fillet_tool(r, overlap=overlap, $fn=$fn); } module square_fillet_3d(size, r, r_corner=0.0, overlap=0.01, center=false, additive=false, corners=[0,1,2,3], edges=[0,1,2,3], $fn=$fn) { function in_list(x, list) = len(search(x, list)) > 0 ? true : false; width = size[0] == undef ? size : size[0]; // unpack vector if present length = size[1] == undef ? size : size[1]; max_radius = min(width, length)/2; // largest radius possible along XY // Both radius and corner radius can be any value between 0 and the shortest // edge of the rectangle / 2 (maximum radius for full round). // If radius is zero, no geometry is generated (no radius = no fillet) // If corner radius is zero, corner rounding geometry is not generated radius = (r >= max_radius) ? max_radius : r; // if present, corner radius cannot be less than fillet radius (invalid geometry) corner_radius_inter = (r_corner != 0 && r_corner < radius) ? radius : r_corner; // corner radius cannot be greater than the max radius corner_radius = min(corner_radius_inter, max_radius); function corner_offset_single(x) = in_list(x % 4, corners) ? corner_radius : -overlap; // calculate the corner offset for a given corner index function corner_offset(x) = corner_offset_single(x) + corner_offset_single(x + 1); // calculate the corner offset for a given edge if(radius > 0) { center_x = center ? -width/2 : 0; center_y = center ? -length/2 : 0; translate([center_x, center_y]) { union() { // Y Straight, Origin if(in_list(0, edges)) { translate([0, length - corner_offset_single(1), 0]) rotate([0, additive ? 180 : 0, 0]) rotate([0, 90, 270]) linear_extrude(height=length - corner_offset(0)) fillet_tool(radius, overlap=overlap, $fn=$fn); } // X Straight, At Length if(in_list(1, edges)) { translate([width - corner_offset_single(2), length, 0]) rotate([additive ? 180 : 0, 0, 0]) rotate([0, 90, 180]) linear_extrude(height=width - corner_offset(1)) fillet_tool(radius, overlap=overlap, $fn=$fn); } // Y Straight, At Width if(in_list(2, edges)) { translate([width, corner_offset_single(3), 0]) rotate([0, additive ? 180 : 0, 0]) rotate([0, 90, 90]) linear_extrude(height=length - corner_offset(2)) fillet_tool(radius, overlap=overlap, $fn=$fn); } // X Straight, Origin if(in_list(3, edges)) { translate([corner_offset_single(0), 0, 0]) rotate([additive ? 180 : 0, 0, 0]) rotate([0, 90, 0]) linear_extrude(height=width - corner_offset(3)) fillet_tool(radius, overlap=overlap, $fn=$fn); } if(corner_radius > 0) { // Corner: Bottom Left if(in_list(0, corners)) { fillet_tool_3d(radius, corner_radius, overlap=overlap, additive=additive, $fn=$fn); } // Corner: Top Left if(in_list(1, corners)) { translate([0, length, 0]) rotate([0, 0, 270]) fillet_tool_3d(radius, corner_radius, overlap=overlap, additive=additive, $fn=$fn); } // Corner: Top Right if(in_list(2, corners)) { translate([width, length, 0]) rotate([0, 0, 180]) fillet_tool_3d(radius, corner_radius, overlap=overlap, additive=additive, $fn=$fn); } // Corner: Bottom Right if(in_list(3, corners)) { translate([width, 0, 0]) rotate([0, 0, 90]) fillet_tool_3d(radius, corner_radius, overlap=overlap, additive=additive, $fn=$fn); } } } } } } module cone(angle, base, height=undef, center=false, $fn=$fn) { // where: // * angle is the angle at the top of the cone, looking towards the base // * base is the diameter at the bottom of the cone // * height is the total height from base to top, if given base_radius = base/2; // convert base diameter to radius full_height = base_radius / tan(angle/2); // height to a point at the given angle // if no height is provided or height is out of scale, extrude up to a point if(height == undef || abs(height) >= full_height) { cylinder(h=full_height, r1=base_radius, r2=0, center=center); } // if height is provided, calculate top radius for given angle else { top_radius = tan(angle/2) * (full_height - height); cylinder(h=height, r1=base_radius, r2=top_radius, center=center); } }
OpenSCAD
5
tomihbk/splitflap
3d/shapes.scad
[ "Apache-2.0" ]
/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, * software distributed under the License is distributed on an * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY * KIND, either express or implied. See the License for the * specific language governing permissions and limitations * under the License. */ namespace java org.apache.thrift.partial // This thrift file is meant for testing partial deserialization. // It includes all field types and most combinations of complex types. // Those fields help ensure correctness of partial deserialization. enum TstEnum { UNKNOWN = 0, E_ONE = 1, E_TWO = 2 } struct SmallStruct { // Primitive fields 1: optional byte byteField; 2: optional i16 i16Field; 3: optional i32 i32Field; 4: optional i64 i64Field; 5: optional double doubleField; 6: optional string stringField; // Enum 7: optional TstEnum enumField; } // TODO(kpandit): Need to add bool field struct TestStruct { // Primitive fields 1: optional byte byteField; 2: optional i16 i16Field; 3: optional i32 i32Field; 4: optional i64 i64Field; 5: optional double doubleField; 6: optional string stringField; // Enum 7: optional TstEnum enumField; 8: optional binary binaryField; // List 10: optional list<byte> byteList; 11: optional list<i16> i16List; 12: optional list<i32> i32List; 13: optional list<i64> i64List; 14: optional list<double> doubleList; 15: optional list<string> stringList; 16: optional list<TstEnum> enumList; 17: optional list<list<i32>> listList; 18: optional list<set<i32>> setList; 19: optional list<map<string, i32>> mapList; 20: optional list<SmallStruct> structList; 21: optional list<binary> binaryList; // Set 30: optional set<byte> byteSet; 31: optional set<i16> i16Set; 32: optional set<i32> i32Set; 33: optional set<i64> i64Set; 34: optional set<double> doubleSet; 35: optional set<string> stringSet; 36: optional set<TstEnum> enumSet; 37: optional set<list<i32>> listSet (nolint = "set.value.type"); 38: optional set<set<i32>> setSet (nolint = "set.value.type"); 39: optional set<map<string, i32>> mapSet (nolint = "set.value.type"); 40: optional set<SmallStruct> structSet (nolint = "set.value.type"); 41: optional set<binary> binarySet; // Map 50: optional map<byte, byte> byteMap; 51: optional map<i16, i16> i16Map; 52: optional map<i32, i32> i32Map; 53: optional map<i64, i64> i64Map; 54: optional map<double, double> doubleMap; 55: optional map<string, string> stringMap; 56: optional map<TstEnum, TstEnum> enumMap; 57: optional map<i32, list<i32>> listMap; 58: optional map<i32, set<i32>> setMap; 59: optional map<i32, map<i32, i32>> mapMap; 60: optional map<SmallStruct, SmallStruct> structMap (nolint = "map.key.type"); 61: optional map<i32, binary> binaryMap; 70: optional SmallStruct structField; } struct InnermostStruct { 1: optional string value; 2: optional i32 intValue; } struct InnerStruct { 1: optional InnermostStruct value; 2: optional i32 intValue; } struct OuterStruct { 1: optional InnerStruct value; 2: optional map<string, InnerStruct> structMap; } union SimpleUnion { 1: optional i32 intValue; 2: optional string stringValue; } struct StructWithUnions { 1: optional i32 intValue; 2: optional SmallStruct smallStruct; 3: optional SimpleUnion simpleUnion; 4: optional list<SimpleUnion> unionList; 5: optional set<SimpleUnion> unionSet (nolint = "set.value.type"); 6: optional map<SimpleUnion, string> keyUnionMap (nolint = "map.key.type"); 7: optional map<string, SimpleUnion> valUnionMap; 8: optional map<SimpleUnion, SimpleUnion> unionMap (nolint = "map.key.type"); }
Thrift
4
Jimexist/thrift
test/partial/thrift_test_schema.thrift
[ "Apache-2.0" ]
untyped global function SpawnFunctions_Init function SpawnFunctions_Init() { if ( IsLobby() ) return // shared OnSpawned callbacks AddSpawnCallback( "script_mover", SpawnScriptMover ) AddSpawnCallback( "path_track", SpawnPathTrack ) AddSpawnCallback( "info_hint", SpawnInfoHint ) AddDeathCallback( "npc_titan", EmptyDeathCallback ) // so death info gets sent to client // Arc Cannon Targets foreach ( classname, val in ArcCannonTargetClassnames ) { AddSpawnCallback( classname, AddToArcCannonTargets ) } foreach ( classname, val in ProximityTargetClassnames ) { AddSpawnCallback( classname, AddToProximityTargets ) } } void function EmptyDeathCallback( entity _1, var _2 ) { } void function SpawnPathTrack( entity node ) { if ( node.HasKey( "WaitSignal" ) ) RegisterSignal( node.kv.WaitSignal ) if ( node.HasKey( "SendSignal" ) ) RegisterSignal( node.kv.SendSignal ) if ( node.HasKey( "WaitFlag" ) ) FlagInit( expect string( node.kv.WaitFlag ) ) if ( node.HasKey( "SetFlag" ) ) FlagInit( expect string( node.kv.SetFlag ) ) } void function SpawnScriptMover( entity ent ) { if ( ent.HasKey( "custom_health" ) ) { //printt( "setting health on " + ent + " to " + ent.kv.custom_health.tointeger() ) ent.SetHealth( ent.kv.custom_health.tointeger() ) } } void function SpawnInfoHint( entity ent ) { Assert( !ent.HasKey( "hotspot" ) || ent.kv.hotspot.tolower() in level.hotspotHints, "info_hint at " + ent.GetOrigin() + " has unknown hotspot hint: " + ent.kv.hotspot.tolower() ) }
Squirrel
4
GeckoEidechse/NorthstarMods
Northstar.CustomServers/mod/scripts/vscripts/mp/_spawn_functions.nut
[ "MIT" ]
#!/usr/bin/env bash set -eou pipefail DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )" source "${DIR}/common_utils.sh" # Allow for users to pass PACKAGE_NAME # For use with other packages, i.e. torchvision, etc. PACKAGE_NAME=${PACKAGE_NAME:-torch} PACKAGE_TYPE=${PACKAGE_TYPE:-whl} PYTORCH_S3_BUCKET=${PYTORCH_S3_BUCKET:-s3://pytorch} FROM=${FROM:-test} PYTORCH_S3_FROM=${PYTORCH_S3_FROM:-${PYTORCH_S3_BUCKET}/${PACKAGE_TYPE}/${FROM}} TO=${TO:-} PYTORCH_S3_TO=${PYTORCH_S3_TO:-${PYTORCH_S3_BUCKET}/${PACKAGE_TYPE}/${TO}} aws_promote "${PACKAGE_NAME}"
Shell
4
Hacky-DH/pytorch
scripts/release/promote/s3_to_s3.sh
[ "Intel" ]
actor Echo { // Say the given phase. public query func say(phrase : Text) : async Text { return phrase; }; };
Modelica
4
DaveSimplifire/examples
motoko/echo/src/Main.mo
[ "Apache-2.0" ]
include "shared.thrift" service PingService extends shared.NotExistService { }
Thrift
3
JonnoFTW/thriftpy2
tests/parser-cases/e_service_extends_0.thrift
[ "MIT" ]
--TEST-- Bug #69336 (Issues with "last day of <monthname>") --INI-- date.timezone=UTC --FILE-- <?php var_dump(date('d.m.Y',strtotime('last day of april'))); var_dump(date('d.m.Y',strtotime('last tuesday of march 2015'))); var_dump(date('d.m.Y',strtotime('last wednesday of march 2015'))); var_dump(date('d.m.Y',strtotime('last wednesday of april 2015'))); var_dump(date('d.m.Y',strtotime('last wednesday of march 2014'))); var_dump(date('d.m.Y',strtotime('last wednesday of april 2014'))); ?> --EXPECTF-- string(10) "30.04.%d" string(10) "31.03.2015" string(10) "25.03.2015" string(10) "29.04.2015" string(10) "26.03.2014" string(10) "30.04.2014"
PHP
3
thiagooak/php-src
ext/date/tests/bug69336.phpt
[ "PHP-3.01" ]
from typing import List from fastapi import FastAPI, WebSocket, WebSocketDisconnect from fastapi.responses import HTMLResponse app = FastAPI() html = """ <!DOCTYPE html> <html> <head> <title>Chat</title> </head> <body> <h1>WebSocket Chat</h1> <h2>Your ID: <span id="ws-id"></span></h2> <form action="" onsubmit="sendMessage(event)"> <input type="text" id="messageText" autocomplete="off"/> <button>Send</button> </form> <ul id='messages'> </ul> <script> var client_id = Date.now() document.querySelector("#ws-id").textContent = client_id; var ws = new WebSocket(`ws://localhost:8000/ws/${client_id}`); ws.onmessage = function(event) { var messages = document.getElementById('messages') var message = document.createElement('li') var content = document.createTextNode(event.data) message.appendChild(content) messages.appendChild(message) }; function sendMessage(event) { var input = document.getElementById("messageText") ws.send(input.value) input.value = '' event.preventDefault() } </script> </body> </html> """ class ConnectionManager: def __init__(self): self.active_connections: List[WebSocket] = [] async def connect(self, websocket: WebSocket): await websocket.accept() self.active_connections.append(websocket) def disconnect(self, websocket: WebSocket): self.active_connections.remove(websocket) async def send_personal_message(self, message: str, websocket: WebSocket): await websocket.send_text(message) async def broadcast(self, message: str): for connection in self.active_connections: await connection.send_text(message) manager = ConnectionManager() @app.get("/") async def get(): return HTMLResponse(html) @app.websocket("/ws/{client_id}") async def websocket_endpoint(websocket: WebSocket, client_id: int): await manager.connect(websocket) try: while True: data = await websocket.receive_text() await manager.send_personal_message(f"You wrote: {data}", websocket) await manager.broadcast(f"Client #{client_id} says: {data}") except WebSocketDisconnect: manager.disconnect(websocket) await manager.broadcast(f"Client #{client_id} left the chat")
Python
5
Aryabhata-Rootspring/fastapi
docs_src/websockets/tutorial003.py
[ "MIT" ]
-- Copyright 2017 gRPC authors. -- -- Licensed under the Apache License, Version 2.0 (the "License"); -- you may not use this file except in compliance with the License. -- You may obtain a copy of the License at -- -- http://www.apache.org/licenses/LICENSE-2.0 -- -- Unless required by applicable law or agreed to in writing, software -- distributed under the License is distributed on an "AS IS" BASIS, -- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -- See the License for the specific language governing permissions and -- limitations under the License. -------------------------------------------------------------------------------- {-# LANGUAGE ForeignFunctionInterface, MagicHash, TypeSynonymInstances, FlexibleInstances #-} module Network.Grpc.Lib.ByteBuffer ( CByteBuffer , ByteBuffer , Slice , CSlice , sliceFromCopy , toByteString , grpcSliceRef , grpcSliceUnref , sliceFromStaticByteString , grpcSliceFromCopiedBuffer , mallocSlice , fromByteString , toLazyByteString , byteBufferLength , mallocCByteBuffer , freeCByteBuffer , byteBufferDestroy , CByteBufferReader ) where import Foreign.C.Types import Foreign.ForeignPtr import Foreign.Marshal.Alloc as C import Foreign.Ptr import Control.Exception (finally) import Data.ByteString (ByteString) import qualified Data.ByteString as B import qualified Data.ByteString.Char8 as B8 import qualified Data.ByteString.Internal as B import qualified Data.ByteString.Lazy as L import Data.String import GHC.Prim (Addr#) import GHC.Ptr (Ptr(..)) import System.IO.Unsafe ( unsafePerformIO ) #include <grpc/grpc.h> #include <grpc/byte_buffer.h> #include <grpc/byte_buffer_reader.h> #include "hs_byte_buffer.h" #include "hs_grpc.h" {#context lib = "grpc" prefix = "grpc" #} data CByteBuffer {#pointer *byte_buffer as ByteBuffer -> CByteBuffer#} mallocCByteBuffer :: IO (Ptr CByteBuffer) mallocCByteBuffer = C.mallocBytes {#sizeof grpc_byte_buffer#} freeCByteBuffer :: Ptr CByteBuffer -> IO () freeCByteBuffer = C.free {#fun unsafe byte_buffer_destroy as ^ {`ByteBuffer'} -> `()' #} data CByteBufferReader {#pointer *byte_buffer_reader as ByteBufferReader -> CByteBufferReader#} data CSlice {#pointer *grpc_slice as Slice foreign -> CSlice #} type SizeT = {#type size_t#} fromByteString :: ByteString -> IO ByteBuffer fromByteString = hsRawByteBufferCreate withByteString :: ByteString -> ((Ptr CChar, CULong) -> IO a) -> IO a withByteString bs act = do let (fPtr, offset, len) = B.toForeignPtr bs withForeignPtr fPtr $ \ptr -> act (ptr `plusPtr` offset, fromIntegral len) {#fun unsafe hs_raw_byte_buffer_create as ^ {withByteString* `ByteString'&} -> `ByteBuffer' #} toByteString :: Slice -> IO ByteString toByteString slice0 = withForeignPtr slice0 $ \slice -> do refcount <- {#get grpc_slice->refcount#} slice if refcount == nullPtr then fromInlined slice else fromRefcounted slice where fromInlined slice = do len <- {#get grpc_slice->data.inlined.length#} slice ptr <- {#get grpc_slice->data.inlined.bytes#} slice B.packCStringLen (castPtr ptr, fromIntegral len) fromRefcounted slice = do len <- {#get grpc_slice->data.refcounted.length#} slice ptr <- {#get grpc_slice->data.refcounted.bytes#} slice B.packCStringLen (castPtr ptr, fromIntegral len) mallocSlice :: IO Slice mallocSlice = mallocForeignPtrBytes {#sizeof grpc_slice#} sliceFromCopy :: ByteString -> IO Slice sliceFromCopy bs = do slice <- mallocSlice grpcSliceFromCopiedBuffer bs slice addForeignPtrFinalizer grpcSlideUnrefFinalizer slice return slice instance IsString Slice where fromString = unsafePerformIO . sliceFromCopy . B8.pack {-# NOINLINE fromString #-} {#fun unsafe hs_grpc_slice_from_copied_buffer as grpcSliceFromCopiedBuffer { withByteString* `ByteString'& , `Slice' } -> `()' #} -- | Make a Slice without a reference counter. sliceFromStaticByteString :: ByteString -> IO Slice sliceFromStaticByteString bs = do slice <- mallocSlice -- Since the underlying string is static, there is no need to -- call grpc_slice_unref. All we need to do is to free the memory for -- the grpc_slice itself. withByteString bs $ \(ptr, _) -> grpcSliceFromStaticString ptr slice return slice -- | Make a Slice without a reference counter. sliceFromStaticString# :: Addr# -> IO Slice sliceFromStaticString# addr# = do slice <- mallocSlice grpcSliceFromStaticString (Ptr addr#) slice return slice {#fun unsafe hs_grpc_slice_from_static_string as grpcSliceFromStaticString { id `Ptr CChar' , `Slice' } -> `()' #} toLazyByteString :: ByteBuffer -> IO L.ByteString toLazyByteString bb = allocaByteBufferReader $ \ bbr -> do slice <- mallocSlice ok <- byteBufferReaderInit bbr bb if ok then finally (go bbr slice []) (byteBufferReaderDestroy bbr) else return L.empty -- TODO: assert where go bbr slice acc = do ok <- byteBufferReaderNext bbr slice if ok then do bs <- toByteString slice grpcSliceUnref slice go bbr slice (bs:acc) else return $! L.fromChunks (reverse acc) allocaByteBufferReader :: (ByteBufferReader -> IO a) -> IO a allocaByteBufferReader act = do allocaBytes {#sizeof grpc_byte_buffer_reader#} $ \p -> act p -- | Initialize a 'ByteBufferReader' for the given 'ByteBuffer'. -- If return True, the initialization was successful and the caller is -- responsible for calling 'byteBufferReaderDestroy'. {#fun unsafe byte_buffer_reader_init as ^ {`ByteBufferReader', `ByteBuffer'} -> `Bool' #} -- | Updates the 'Slice' with the next piece of data from the reader -- and returns True. Returns False at the end of the stream. The caller -- is responsible for calling 'grpc_slice_unref' on the result. {#fun unsafe byte_buffer_reader_next as ^ {`ByteBufferReader', `Slice'} -> `Bool'#} -- | Clean up a 'ByteBufferReader'. {#fun unsafe byte_buffer_reader_destroy as ^ {`ByteBufferReader'} -> `()'#} -- | /O(1)/. Return the length of a 'ByteBuffer'. {#fun unsafe byte_buffer_length as ^ {`ByteBuffer'} -> `SizeT' id #} -- | Updates the 'Slice' with a slice of all the data merged. {#fun unsafe hs_grpc_byte_buffer_reader_readall as ^ {`ByteBufferReader', `Slice'} -> `()' #} -- | Ref a 'Slice'. When the reference counter reaches zero, the slice will -- be deallocated. {#fun unsafe grpc_slice_ref as ^ {%`Slice'} -> `()' #} -- | Unref a 'Slice'. When the reference counter reaches zero, the slice will -- be deallocated. {#fun unsafe grpc_slice_unref as ^ {%`Slice'} -> `()' #} foreign import ccall "hs_byte_buffer.h &hs_grpc_slice_unref" grpcSlideUnrefFinalizer :: FunPtr (Ptr CSlice -> IO ())
C2hs Haskell
5
LaudateCorpus1/grpc-haskell
src/Network/Grpc/Lib/ByteBuffer.chs
[ "Apache-2.0" ]
struct S(u8, u16); type A = S; fn main() { let s = A(0, 1); //~ ERROR expected function match s { A(..) => {} //~ ERROR expected tuple struct or tuple variant } }
Rust
2
Eric-Arellano/rust
src/test/ui/resolve/tuple-struct-alias.rs
[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]
build obj/third_party/ffmpeg/libffmpeg_internal.a: alink obj/third_party/sub/fft_fixed.o obj/third_party/sub/fft_float.o | bar build obj/third_party/WebKit.a: alink obj/third_party/sub/PaintChunker.o obj/third_party/sub/ContiguousContainer.o build a b c d elf: link obj/base/base/page_allocator.o obj/third_party/WebKit.a || dum dee doo dee
Ninja
2
zealoussnow/chromium
tools/binary_size/libsupersize/testdata/mock_source_directory/out/Release/sub.ninja
[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]
template(name="spinnerDot") .sk-spinner.sk-spinner-dot(class=currentBoard.colorClass) +spinnerDotRaw template(name="spinnerDotRaw") .sk-dot1 .sk-dot2
Jade
3
UBessle/wekan
client/components/main/spinner_dot.jade
[ "MIT" ]
<http://a.example/s> <http://a.example/p> """chat"""@en .
Turtle
0
joshrose/audacity
lib-src/lv2/serd/tests/TurtleTests/langtagged_LONG.ttl
[ "CC-BY-3.0" ]
foo { color: red; // Line comment top: 0; }
CSS
2
mengxy/swc
crates/swc_css_parser/tests/line-comment/css-in-js/4/input.css
[ "Apache-2.0" ]
<%@ page import="com.baeldung.patterns.intercepting.filter.data.Book" %> <%@ page import="java.util.List" %> <!DOCTYPE html> <html> <head> <title>Bookshelf: Title found</title> </head> <body> <p>Our Bookshelf contains following titles:</p> <% for (Book book : (List<Book>) request.getAttribute("books")) { %> <h2><%= book.getTitle() %></h2> <p>Author: <%= book.getAuthor() %></p> <form action="/?command=Order" method="POST"> <label for="quantity">Quantity:</label> <input type="text" id="quantity" name="quantity" value="1" required> <input type="hidden" name="isbn" value="<%= book.getIsbn() %>"> <input type="submit" value="Buy it: <%= book.getPrice() %>$"> <a href="/?command=Home">Go back...</a> </form> <% } %> <%@ include file="shopping-cart-hint.jsp"%> <%@ include file="visitor-counter.jsp"%> </body> </html>
Java Server Pages
4
zeesh49/tutorials
patterns/intercepting-filter/src/main/webapp/WEB-INF/jsp/book-found.jsp
[ "MIT" ]
spacing { a: url('./img.png'); } spacing { b: url("./img.png"); } spacing { c: url(./img.png); } spacing { d: url("./img.png#hash"); } spacing { e: url( "./img.png" ); } spacing { f: green url( './img.png' ) xyz; } spacing { g: green url( "./img.png" ) xyz; } spacing { h: green url( ./img.png ) xyz; } spacing { i: green url(package/img.png) url(./img.png) xyz; } spacing { j: green url( "./img img.png" ) xyz; } spacing { k: green url( './img img.png' ) xyz; } spacing { l: green url(/img.png) xyz; }
CSS
3
acidburn0zzz/webpack
test/configCases/css/urls/spacing.css
[ "MIT" ]
$Title = $CmdLine[1] $FileAbsPath = $CmdLine[2] While 1 WinWaitActive($Title) if WinExists($Title) Then ControlGetFocus('$Title') ControlClick($Title, '', '[CLASS:Edit;INSTANCE:1]') While Not (ControlGetText($Title, '', '[CLASS:Edit;INSTANCE:1]') == $FileAbsPath) ControlSetText($Title, '', '[CLASS:Edit;INSTANCE:1]', $FileAbsPath) Wend ControlSend($Title, '', '[CLASS:Edit;INSTANCE:1]', @CR) ExitLoop EndIf Wend
AutoIt
3
luluuuuuu/KAOSer-SeleniumTesr
src/main/resources/file_choose.au3
[ "Apache-2.0" ]
apiVersion: release-notes/v2 kind: feature area: installation # issue is a list of GitHub issues resolved in this note. issue: - https://github.com/istio/istio/issues/33879 releaseNotes: - | **Added** labels on pod level for istio-operator and istiod.
YAML
2
rveerama1/istio
releasenotes/notes/33879.yaml
[ "Apache-2.0" ]
An excerpt from [https://raw.github.com/jashkenas/coffee-script/master/src/scope.litcoffee]: The **Scope** class regulates lexical scoping within CoffeeScript. As you generate code, you create a tree of scopes in the same shape as the nested function bodies. Each scope knows about the variables declared within it, and has a reference to its parent enclosing scope. In this way, we know which variables are new and need to be declared with `var`, and which are shared with external scopes. Import the helpers we plan to use. {extend, last} = require './helpers' exports.Scope = class Scope The `root` is the top-level **Scope** object for a given file. @root: null Initialize a scope with its parent, for lookups up the chain, as well as a reference to the **Block** node it belongs to, which is where it should declare its variables, and a reference to the function that it belongs to. constructor: (@parent, @expressions, @method) -> @variables = [{name: 'arguments', type: 'arguments'}] @positions = {} Scope.root = this unless @parent Adds a new variable or overrides an existing one. add: (name, type, immediate) -> return @parent.add name, type, immediate if @shared and not immediate if Object::hasOwnProperty.call @positions, name @variables[@positions[name]].type = type else @positions[name] = @variables.push({name, type}) - 1 When `super` is called, we need to find the name of the current method we're in, so that we know how to invoke the same method of the parent class. This can get complicated if super is being called from an inner function. `namedMethod` will walk up the scope tree until it either finds the first function object that has a name filled in, or bottoms out. namedMethod: -> return @method if @method?.name or !@parent @parent.namedMethod() Look up a variable name in lexical scope, and declare it if it does not already exist. find: (name) -> return yes if @check name @add name, 'var' no
Literate CoffeeScript
5
felipetavares/folt-howl
bundles/coffeescript/misc/example.litcoffee
[ "MIT" ]
.pkg-lazy-css.imported { padding: 20px; } .not-imported { padding: 0px; }
CSS
4
joseconstela/meteor
tools/tests/apps/modules/packages/modules-test-package/css/imported.css
[ "Apache-2.0", "BSD-2-Clause", "MIT" ]
<h2>Hello!</h2> <div>{% renderbody %}</div>
Liquid
2
ScriptBox99/FluentEmail
test/FluentEmail.Liquid.Tests/EmailTemplates/_embedded.liquid
[ "MIT" ]
import * as React from 'react'; import { Theme } from '@mui/material/styles'; import Box from '@mui/material/Box'; import Switch from '@mui/material/Switch'; import Paper from '@mui/material/Paper'; import Slide from '@mui/material/Slide'; import FormControlLabel from '@mui/material/FormControlLabel'; const icon = ( <Paper sx={{ m: 1, width: 100, height: 100 }} elevation={4}> <Box component="svg" sx={{ width: 100, height: 100 }}> <Box component="polygon" sx={{ fill: (theme: Theme) => theme.palette.common.white, stroke: (theme) => theme.palette.divider, strokeWidth: 1, }} points="0,100 50,00, 100,100" /> </Box> </Paper> ); export default function SlideFromContainer() { const [checked, setChecked] = React.useState(false); const containerRef = React.useRef(null); const handleChange = () => { setChecked((prev) => !prev); }; return ( <Box sx={{ height: 180, width: 240, display: 'flex', padding: 2, borderRadius: 1, bgcolor: (theme) => theme.palette.mode === 'light' ? 'grey.100' : 'grey.900', overflow: 'hidden', }} ref={containerRef} > <Box sx={{ width: 200 }}> <FormControlLabel control={<Switch checked={checked} onChange={handleChange} />} label="Show from target" /> <Slide direction="up" in={checked} container={containerRef.current}> {icon} </Slide> </Box> </Box> ); }
TypeScript
4
dany-freeman/material-ui
docs/data/material/components/transitions/SlideFromContainer.tsx
[ "MIT" ]
pragma solidity ^0.5.0; import "../Chainlink.sol"; contract ChainlinkTestHelper { using Chainlink for Chainlink.Request; using CBOR_Chainlink for Buffer_Chainlink.buffer; Chainlink.Request private req; event RequestData(bytes payload); function closeEvent() public { emit RequestData(req.buf.buf); } function setBuffer(bytes memory data) public { Chainlink.Request memory r2 = req; r2.setBuffer(data); req = r2; } function add(string memory _key, string memory _value) public { Chainlink.Request memory r2 = req; r2.add(_key, _value); req = r2; } function addBytes(string memory _key, bytes memory _value) public { Chainlink.Request memory r2 = req; r2.addBytes(_key, _value); req = r2; } function addInt(string memory _key, int256 _value) public { Chainlink.Request memory r2 = req; r2.addInt(_key, _value); req = r2; } function addUint(string memory _key, uint256 _value) public { Chainlink.Request memory r2 = req; r2.addUint(_key, _value); req = r2; } // Temporarily have method receive bytes32[] memory until experimental // string[] memory can be invoked from truffle tests. function addStringArray(string memory _key, bytes32[] memory _values) public { string[] memory strings = new string[](_values.length); for (uint256 i = 0; i < _values.length; i++) { strings[i] = bytes32ToString(_values[i]); } Chainlink.Request memory r2 = req; r2.addStringArray(_key, strings); req = r2; } function bytes32ToString(bytes32 x) private pure returns (string memory) { bytes memory bytesString = new bytes(32); uint charCount = 0; for (uint j = 0; j < 32; j++) { byte char = byte(bytes32(uint(x) * 2 ** (8 * j))); if (char != 0) { bytesString[charCount] = char; charCount++; } } bytes memory bytesStringTrimmed = new bytes(charCount); for (uint j = 0; j < charCount; j++) { bytesStringTrimmed[j] = bytesString[j]; } return string(bytesStringTrimmed); } }
Solidity
4
johnnymugs/chainlink
evm-contracts/src/v0.5/tests/ChainlinkTestHelper.sol
[ "MIT" ]
unit Msgs; { Inno Setup Copyright (C) 1997-2007 Jordan Russell Portions by Martijn Laan For conditions of distribution and use, see LICENSE.TXT. Message file handling functions $jrsoftware: issrc/Projects/Msgs.pas,v 1.20 2009/03/23 13:31:17 mlaan Exp $ } interface uses MsgIDs, Struct; const SNewLine = #13#10; { line break } SNewLine2 = #13#10#13#10; { double line break } var SetupMessages: array[TSetupMessageID] of String; MessagesLangOptions: TMessagesLangOptions; function FmtMessage(S: PChar; const Args: array of String): String; function FmtSetupMessage(const ID: TSetupMessageID; const Args: array of String): String; function FmtSetupMessage1(const ID: TSetupMessageID; const Arg1: String): String; procedure AssignSetupMessages(const P; const Size: Cardinal); procedure LoadSetupMessages(const Filename: String; const Offset: Cardinal; const LoadMessagesLangOptions: Boolean); function IntToHexStr8(I: Integer): String; const { You don't have to translate these. The only time they are used is when an error occurs before or while the messages file is loaded. Otherwise, it uses the corresponding messages in the messages file. } SSetupFileMissing = 'The file %1 is missing from the installation directory. ' + 'Please correct the problem or obtain a new copy of the program.'; SSetupFileCorrupt = 'The setup files are corrupted. Please obtain a new ' + 'copy of the program.'; SSetupFileCorruptOrWrongVer = 'The setup files are corrupted, or are ' + 'incompatible with this version of Setup. Please correct the problem or ' + 'obtain a new copy of the program.'; SMsgsFileMissing = 'Messages file "%s" is missing. Please correct ' + 'the problem or obtain a new copy of the program.'; implementation uses Windows, SysUtils, Compress, CmnFunc2, FileClass; const SMsgsFileTooLarge = 'Internal error: Messages file is too large'; function FmtMessage(S: PChar; const Args: array of String): String; var P: PChar; Z: String; begin Result := ''; if S = nil then Exit; while True do begin P := StrScan(S, '%'); if P = nil then begin Result := Result + S; Break; end; if P <> S then begin SetString(Z, S, P - S); Result := Result + Z; S := P; end; Inc(P); if CharInSet(P^, ['1'..'9']) and (Ord(P^) - Ord('1') <= High(Args)) then begin Result := Result + Args[Ord(P^) - Ord('1')]; Inc(S, 2); end else begin Result := Result + '%'; Inc(S); if P^ = '%' then Inc(S); end; end; end; function FmtSetupMessage(const ID: TSetupMessageID; const Args: array of String): String; begin Result := FmtMessage(PChar(SetupMessages[ID]), Args); end; function FmtSetupMessage1(const ID: TSetupMessageID; const Arg1: String): String; begin Result := FmtSetupMessage(ID, [Arg1]); end; procedure FreeSetupMessages; var I: TSetupMessageID; begin for I := Low(SetupMessages) to High(SetupMessages) do SetupMessages[I] := ''; end; procedure Corrupted; begin raise Exception.Create(SSetupFileCorrupt); end; procedure AssignSetupMessages(const P; const Size: Cardinal); { Takes message data, and assigns the individual messages to SetupMessages. } var Header: ^TMessagesHeader; M, EndP: PChar; I: TSetupMessageID; L: Integer; begin if (Size <= SizeOf(TMessagesHdrID) + SizeOf(TMessagesHeader)) or (TMessagesHdrID(P) <> MessagesHdrID) then Corrupted; Cardinal(Header) := Cardinal(@P) + SizeOf(TMessagesHdrID); if (Header.TotalSize <> not Header.NotTotalSize) or (Cardinal(Header.TotalSize) <> Size) or (Header.NumMessages <> (Ord(High(SetupMessages)) - Ord(Low(SetupMessages)) + 1)) then Corrupted; Cardinal(M) := Cardinal(Header) + SizeOf(TMessagesHeader); Cardinal(EndP) := Cardinal(@P) + Cardinal(Header.TotalSize); if (GetCRC32(M^, (EndP - M) * SizeOf(Char)) <> Header.CRCMessages) or (EndP[-1] <> #0) then Corrupted; for I := Low(SetupMessages) to High(SetupMessages) do begin if M >= EndP then Corrupted; L := StrLen(M); SetString(SetupMessages[I], M, L); Inc(M, L + 1); end; end; procedure LoadSetupMessages(const Filename: String; const Offset: Cardinal; const LoadMessagesLangOptions: Boolean); { Loads Setup messages from an uncompressed file } var F: TFile; TestID: TMessagesHdrID; Header: TMessagesHeader; P: Pointer; begin FreeSetupMessages; if not NewFileExists(Filename) then raise Exception.CreateFmt(SMsgsFileMissing, [Filename]); F := TFile.Create(Filename, fdOpenExisting, faRead, fsRead); try F.Seek(Offset); if F.Read(TestID, SizeOf(TestID)) <> SizeOf(TestID) then Corrupted; if TestID <> MessagesHdrID then Corrupted; if F.Read(Header, SizeOf(Header)) <> SizeOf(Header) then Corrupted; if (Header.TotalSize <> not Header.NotTotalSize) or (Header.TotalSize <= SizeOf(TestID) + SizeOf(Header)) or (Header.NumMessages <> (Ord(High(SetupMessages)) - Ord(Low(SetupMessages)) + 1)) then Corrupted; F.Seek(Offset); GetMem(P, Header.TotalSize); try if F.Read(P^, Header.TotalSize) <> Header.TotalSize then Corrupted; AssignSetupMessages(P^, Header.TotalSize); finally FreeMem(P); end; if LoadMessagesLangOptions then begin if F.Read(MessagesLangOptions, SizeOf(MessagesLangOptions)) <> SizeOf(MessagesLangOptions) then Corrupted; if MessagesLangOptions.ID <> MessagesLangOptionsID then Corrupted; end; finally F.Free; end; end; function IntToHexStr8(I: Integer): String; begin FmtStr(Result, '0x%.8x', [I]); end; initialization finalization FreeSetupMessages; end.
Pascal
4
Patriccollu/issrc
Projects/Msgs.pas
[ "FSFAP" ]
management.endpoints.web.exposure.include=refresh spring.properties.refreshDelay=1000 spring.config.location=file:extra.properties spring.main.allow-bean-definition-overriding=true spring.config.import=classpath:additional-application.properties,classpath:additional-application[.yml],optional:file:./external.properties,classpath:additional-application-properties/ baeldung.customProperty=valueDefault #--- spring.config.activate.on-profile=dev baeldung.customProperty=valueDev
INI
3
DBatOWL/tutorials
spring-boot-modules/spring-boot-properties/src/test/resources/application.properties
[ "MIT" ]
(ns lt.util.ipc "Util functions for the ipc renderer - https://github.com/atom/electron/blob/master/docs/api/ipc-renderer.md") (def ipc "Provides access to the ipc renderer." (.-ipcRenderer (js/require "electron"))) ;; `send` and `on` are declared here with their bodies defined later as otherwise Codox will use the ;; redefined `send` and `on` in the below when block instead. (declare transport) (declare start) ;; Set $IPC_DEBUG to debug incoming and outgoing ipc messages for the renderer process (when (aget js/process.env "IPC_DEBUG") (let [old-send transport old-on start] (def transport (fn [& args] (prn "RENDERER->" args) (apply old-send args))) (def start (fn [channel cb] (old-on channel (fn [_ & args] (prn "->RENDERER" channel args) (apply cb args))))))) (defn send "Delegates to ipc.send, which asynchronously sends args to the browser process's channel." [channel & args] (apply (.-send ipc) channel (clj->js args))) (defn on "Delegates to ipc.on, which defines a callback to fire for the given channel." [channel cb] (.on ipc channel cb))
Clojure
4
joyskmathew/LightTable
src/lt/util/ipc.cljs
[ "MIT" ]
module Language.PureScript.Constants.Data.Newtype where import Prelude.Compat import Language.PureScript.Names pattern Newtype :: Qualified (ProperName 'ClassName) pattern Newtype = Qualified (Just (ModuleName "Data.Newtype")) (ProperName "Newtype")
Haskell
4
andys8/purescript
src/Language/PureScript/Constants/Data/Newtype.hs
[ "BSD-3-Clause" ]
This directory contains test programs for the ML Kit. Many of the test cases for the SML Basis Library have been borrowed from the Moscow ML distribution. The test is invoked with the `kittester' program located (after the Kit is installed) in the kit/bin directory. (The sources for `kittester' are available in the directory kit/src/Tools/Tester.) The directory must contain this file `README' and three symbolic links: testlink -> README testcycl -> testcycl testbadl -> exists.not Moreover, it must contain a file `hardlinkA' and a hard link `hardlinkB' to `hardlinkA' (or vice versa). The directory must not contain a file or directory named `exists.not'. To run all the tests, invoke `kittester' as follows (from this directory): > ../bin/kittester all.tst See the file `all.tst' to learn how to add programs to the test. - ME 1998-10-21
Kit
2
shwestrick/mpl
regression/README.kit
[ "HPND" ]
<% simple_files = @files.select { |f| f.text? } %> <% unless simple_files.empty? then %> <nav id="fileindex-section" class="section project-section"> <h3 class="section-header">Pages</h3> <ul> <% simple_files.each do |f| %> <li class="file"><a href="<%= rel_prefix %>/<%= f.path %>"><%= h f.page_name %></a> <% end %> </ul> </nav> <% end %>
RHTML
4
coralnexus/rdoc-darkfish-template
_sidebar_pages.rhtml
[ "Apache-2.0" ]
(* Copyright 2016 Yoichi Hirai Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. *) theory ContractSem imports Main "HOL-Word.Word" "./lem/Evm" (* If ./lem/Evm is missing, try executing `make lem-thy` *) begin (* Generated by Lem in EvmAuxiliary.thy *) (* termination cut_natural_map by lexicographic_order *) (* termination store_byte_list_memory by lexicographic_order *) termination log256floor by lexicographic_order termination word_exp by lexicographic_order declare rotl64_def [simp] big_def [simp] keccakf_randc_def [simp] keccakf_rotc_def [simp] keccakf_piln_def [simp] get_def [simp] get_n_def [simp] setf_def [simp] theta_t_def [simp] theta_def [simp] rho_pi_inner_def [simp] rho_pi_changes_def [simp] rho_pi_def [simp] chi_for_j_def [simp] filterI_def [simp] chi_def [simp] iota_def [simp] for_inner_def [simp] keccakf_rounds_def [simp] word_rsplit_aux.psimps [simp] (* word64FromBoollist.psimps [simp] *) word_rcat_def [simp] invert_endian_def [simp] keccakf_def [simp] mdlen_def [simp] rsiz_def [simp] word8_to_word64_def [simp] update_byte_def [simp] sha3_update.psimps [simp] keccak_final_def [simp] initial_st_def [simp] initial_pos_def [simp] list_fill_right_def [simp] keccak'_def [simp] declare vctx_advance_pc_def [simp] declare vctx_next_instruction_def [simp] declare call_def [simp] text {* When the if-condition is known to be True, the simplifier can proceed into the then-clause. The \textit{simp} attribute encourages the simplifier to use this equation from left to right whenever applicable. *} lemma strict_if_True [simp] : "strict_if True a b = a True" apply(simp add: strict_if_def) done text {* When the if-condition is known to be False, the simplifier can proceed into the else-clause. *} lemma strict_if_False [simp] : "strict_if False a b = b True" apply(simp add: strict_if_def) done text {* When the if-condition is not known to be either True or False, the simplifier is allowed to perform computation on the if-condition. The \textit{cong} attribute tells the simplifier to try to rewrite the left hand side of the conclusion, using the assumption. *} lemma strict_if_cong [cong] : "b0 = b1 \<Longrightarrow> strict_if b0 x y = strict_if b1 x y" apply(auto) done declare empty_program_def [simp] declare program_of_lst_def [simp] subsection {* The Result of an Instruction *} declare instruction_failure_result_def [simp] text {* When the contract returns, the result of the instruction always looks like this: *} declare instruction_return_result_def [simp] declare M_def [simp] declare update_balance_def [simp] declare vctx_update_storage_def [simp] declare stack_0_0_op_def [simp] declare stack_0_1_op_def [simp] declare stack_1_1_op_def [simp] declare stack_2_1_op_def [simp] declare stack_3_1_op_def [simp] declare sstore_def [simp] declare jump_def [simp] text {* When the second argument is already @{term True}, the simplification can continue. Otherwise, the Isabelle/HOL simplifier is not allowed to expand the definition of @{term blockedInstructionContinue}. *} lemma unblockInstructionContinue [simp] : "blockedInstructionContinue v True = InstructionContinue v" apply(simp add: blockedInstructionContinue_def) done text {* This is another reminiscent of my struggle against the Isabelle/HOL simplifier. Again, the simplifier is not allowed to expand the definition unless the second argument is known to be @{term True}.*} lemma unblock_jump [simp]: "blocked_jump v c True = jump v c" apply(simp add: blocked_jump_def) done declare jumpi_def [simp] declare datasize_def [simp] declare read_word_from_bytes_def [simp] declare cut_data_def [simp] declare delegatecall_def [simp] declare callcode_def [simp] declare create_def [simp] declare ret_def [simp] declare stop_def [simp] declare pop_def [simp] (* declare store_byte_list_memory.psimps [simp] *) declare store_word_memory_def [simp] declare mstore_def [simp] declare mload_def [simp] declare mstore8_def [simp] declare calldatacopy_def [simp] declare codecopy_def [simp] declare extcodecopy_def [simp] declare pc_def [simp] declare log_def [simp] declare list_swap_def [simp] text "For testing, I prove some lemmata:" lemma "list_swap 1 [0, 1] = Some [1, 0]" apply(auto) done lemma "list_swap 2 [0, 1] = None" apply(auto) done lemma "list_swap 2 [0, 1, 2] = Some [2, 1, 0]" apply(auto) done lemma "list_swap 3 [0, 1, 2, 3] = Some [3, 1, 2, 0]" apply(auto) done lemma"list_swap 1 [0, 1, 2, 3] = Some [1, 0, 2, 3]" apply(auto) done declare swap_def [simp] declare general_dup_def [simp] declare suicide_def [simp] lemma "Word.word_rcat [(0x01 :: byte), 0x02] = (0x0102 :: w256)" apply(simp only: Word.word_rcat_def) apply(simp add: bin_rcat_def) apply(simp add: bin_cat_def) done declare instruction_sem_def [simp] declare next_state_def [simp] declare program_sem.simps [simp] declare build_vctx_called.simps [simp] declare build_cctx_def [simp] declare is_call_like_def [simp] declare build_vctx_returned.simps [simp] declare build_vctx_failed_def [simp] declare account_state_pop_ongoing_call_def [simp] declare empty_account_def [simp] text {* The following lemmata regulates the Isabelle simplifier so that the definition of update\_account\_state is only sometimes expanded. *} lemma update_account_state_None [simp] : "update_account_state prev act v None = (let st = ((case act of ContractFail _ =>(vctx_storage_at_call v) | _ =>(vctx_storage v) )) in (let bal = ((case act of ContractFail _ =>(vctx_balance_at_call v) | _ =>(vctx_balance v) )) in (prev \<lparr> account_storage := st, account_balance := (case act of ContractFail _ \<Rightarrow> account_balance prev | _ \<Rightarrow> bal (account_address prev)), account_ongoing_calls := account_ongoing_calls prev, account_killed := (case act of ContractSuicide _ \<Rightarrow> True | _ \<Rightarrow> account_killed prev) \<rparr>)))" apply(case_tac act; simp add: update_account_state_def) done lemma update_account_state_Some [simp] : "update_account_state prev act v (Some pushed) = (let st = ((case act of ContractFail _ =>(vctx_storage_at_call v) | _ =>(vctx_storage v) )) in (let bal = ((case act of ContractFail _ =>(vctx_balance_at_call v) | _ =>(vctx_balance v) )) in (prev \<lparr> account_storage := st, account_balance := (case act of ContractFail _ \<Rightarrow> account_balance prev | _ \<Rightarrow> bal (account_address prev)), account_ongoing_calls := (v, pushed) # account_ongoing_calls prev, account_killed := (case act of ContractSuicide _ \<Rightarrow> True | _ \<Rightarrow> account_killed prev)\<rparr>)))" apply(case_tac act; simp add: update_account_state_def) done lemma word_rcat_constant [simp] : "word_rcat (constant_mark lst) = of_bl (List.concat (map to_bl lst))" apply(simp only: word_rcat_bl) apply(simp only: constant_mark_def) done declare unat_def [simp] maybe_to_list.simps [simp] vctx_pop_stack_def [simp] of_bl_def [simp] to_bl_def [simp] bl_to_bin_def [simp] lemma iszero_iszero [simp] : "((if b then (word_of_int 1 :: 256 word) else word_of_int 0) = 0) = (\<not> b) " apply(auto) done lemma iszero_isone [simp] : "((if b then (word_of_int 1 :: 256 word) else word_of_int 0) = 1) = b " apply(auto) done declare Gzero_def [simp] Gbase_def [simp] Gverylow_def [simp] Glow_def [simp] Gmid_def [simp] Ghigh_def [simp] Gextcode_def [simp] Gbalance_def [simp] Gsload_def [simp] Gjumpdest_def [simp] Gsset_def [simp] Gsreset_def [simp] Rsclear_def [simp] Rsuicide_def [simp] Gsuicide_def [simp] Gcreate_def [simp] Gcodedeposit_def [simp] Gcall_def [simp] Gcallvalue_def [simp] Gcallstipend_def [simp] Gnewaccount_def [simp] Gexp_def [simp] Gexpbyte_def [simp] Gmemory_def [simp] Gtxcreate_def [simp] Gtxdatazero_def [simp] Gtxdatanonzero_def [simp] Gtransaction_def [simp] Glog_def [simp] Glogdata_def [simp] Glogtopic_def [simp] Gsha3_def [simp] Gsha3word_def [simp] Gcopy_def [simp] Gblockhash_def [simp] log256floor.psimps [simp] new_memory_consumption.simps [simp] meter_gas_def [simp] C_def [simp] Cmem_def [simp] Cextra_def [simp] L_def [simp] Ccallgas_def [simp] Ccall_def [simp] thirdComponentOfC_def [simp] vctx_next_instruction_default_def [simp] vctx_recipient_def [simp] vctx_stack_default_def [simp] subtract_gas.simps [simp] constant_mark_def [simp] bin_rcat_def [simp] declare bits_inst_code.simps [simp] declare sarith_inst_code.simps [simp] declare arith_inst_code.simps [simp] declare info_inst_code.simps [simp] declare dup_inst_code_def [simp] declare memory_inst_code.simps [simp] declare storage_inst_code.simps [simp] declare pc_inst_code.simps [simp] declare stack_inst_code.simps [simp] declare swap_inst_code_def [simp] declare log_inst_code.simps [simp] declare misc_inst_code.simps [simp] declare inst_code.simps [simp] declare inst_size_def [simp] (* | ProgramStepRunOut of variable_ctx (* the artificial step counter has run out *) | ProgramToEnvironment of contract_action * storage * (address -> w256) * list w256 * list log_entry * maybe (variable_ctx * integer * integer) (** the program stopped execution because an instruction wants to talk to the environment for example because the execution returned, failed, or called an account. *) | ProgramInvalid (* an unknown instruction is found. Maybe this should just count as a failing execution *) | ProgramAnnotationFailure (* an annotation turned out to be false. This does not happen in reality, but this case exists for the sake of the verification. *) | ProgramInit of call_env *) lemma program_sem_to_environment [simp]: "program_sem k con n net (InstructionToEnvironment a b c) = InstructionToEnvironment a b c" apply(induct_tac n; auto) done lemma not_at_least_one : "\<not> 1 \<le> (aa :: 256 word) \<Longrightarrow> aa = 0" apply(simp add:linorder_class.not_le) done lemma unat_suc : "unat (aa :: w256) = Suc n \<Longrightarrow> unat (aa - 1) = n" apply(case_tac "aa \<ge> 1") apply(simp add: uint_minus_simple_alt) apply(drule not_at_least_one) apply(simp) done termination sha3_update by lexicographic_order end
Isabelle
5
pirapira/eth-isabelle
ContractSem.thy
[ "Apache-2.0" ]
!define PROTOCOL_TCP 6 !define SCOPE_ALL_NETWORKS 0 !define IP_VERSION_IPV4_AND_IPV6 2 ; the single quote around double quote is intentional. Some compiler weirdless! !define REMOTE_ADDRESS_ALL '""' !define FIREWALL_ENABLED_STATUS 1 Function "OpenFirewallPorts" ${LogText} "Opening firewall port 8153" ; SimpleFC::AddPort [port] [name] [protocol] [scope] [ip_version] [remote_addresses] [status] SimpleFC::AddPort 8153 "GoCD Server HTTP" ${PROTOCOL_TCP} ${SCOPE_ALL_NETWORKS} ${IP_VERSION_IPV4_AND_IPV6} ${REMOTE_ADDRESS_ALL} ${FIREWALL_ENABLED_STATUS} ${LogText} "Opening firewall port 8154" SimpleFC::AddPort 8154 "GoCD Server HTTPS" ${PROTOCOL_TCP} ${SCOPE_ALL_NETWORKS} ${IP_VERSION_IPV4_AND_IPV6} ${REMOTE_ADDRESS_ALL} ${FIREWALL_ENABLED_STATUS} FunctionEnd Function "un.DisableFirewallPorts" ; SimpleFC::RemovePort [port] [protocol] ${LogText} "Closing firewall port 8153" SimpleFC::RemovePort 8153 ${PROTOCOL_TCP} ${LogText} "Closing firewall port 8154" SimpleFC::RemovePort 8154 ${PROTOCOL_TCP} FunctionEnd
NSIS
4
JeroenOortwijn/gocd
installers/windows/gocd-server-firewall-helpers.nsi
[ "Apache-2.0" ]
<html> <head> <title>Layout</title> </head> <body> <h1>This is the global layout</h1> <br /> <!-- Render the current template here --> {{ yield }} </body> </html>
HTML
4
NeatNerdPrime/iris
_examples/view/template_html_2/templates/layouts/layout.html
[ "BSD-3-Clause" ]
<p>Check that a hidden table within a hidden block results in a hidden block with a table inside.</p> <div style="background-color:none;width:0;max-height:0;visibility:collapse;overflow:hidden;float:left;display:none;font-size:0;line-height:0;"> <table border="0" cellspacing="0" cellpadding="0" style="font-family:Helvetica,Arial,sans-serif; background-color: none; width: 0; max-height: 0; visibility: collapse; overflow: hidden; float: left; display: none; font-size:0; line-height:0; mso-hide:all" width="100%"> <tr> <td colspan="1" rowspan="1"> <table width="1" border="0" cellspacing="0" cellpadding="1"> <tr> <td colspan="1" rowspan="1"> <div style="height:5px;font-size:5px;line-height:5px"> </div> </td> </tr> </table> </td> </tr> <tr> <td colspan="1" rowspan="1"> <a shape="rect" href="http://www.linkedin.com/e/v2?e=1506x2-huob5maa-42&amp;t=nmp&amp;midToken=AQFSKz2SrPsC9Q&amp;tracking=eml-comm_nu_digest-see_all_updates&amp;ek=nu_digest" style="border:none;outline:none;text-decoration:none;color:#0077B5;">See all updates <en-media width="4" height="8" style="border: none; outline: none; text-decoration: none; height: auto;" type="image/png" hash="de3a477878915a74f7bf042345acec5c"/></a> </td> </tr> </table> </div>
HTML
2
asahiocean/joplin
packages/app-cli/tests/enex_to_md/invisible_text2.html
[ "MIT" ]
#!/bin/bash -xe YAML_FILENAME=$1 # Allows this script to be invoked from any directory: cd $(dirname "$0") pushd .. TEMP_FILENAME=$(mktemp) cat $YAML_FILENAME | ./codegen_validation/normalize_yaml_fragment.py > $TEMP_FILENAME mv $TEMP_FILENAME $YAML_FILENAME popd
Shell
3
Hacky-DH/pytorch
.circleci/codegen_validation/overwrite_with_normalized.sh
[ "Intel" ]
Red/System [ Title: "Red/System getting variable pointer test script" Author: "Nenad Rakocevic" File: %get-pointer-test.reds Tabs: 4 Rights: "Copyright (C) 2011-2018 Red Foundation. All rights reserved." License: "BSD-3 - https://github.com/red/red/blob/origin/BSD-3-License.txt" ] #include %../../../../quick-test/quick-test.reds ~~~start-file~~~ "get-pointer" --test-- "get-var-1" s: declare int-ptr! a: 123 s: :a --assert s/value = 123 --test-- "get-var-2" s2: declare byte-ptr! b: #"R" s2: :b --assert s2/value = #"R" --test-- "get-var-3" s3: declare pointer! [float!] c: 3.14 s3: :c --assert s3/value = 3.14 --test-- "get-var-4" s4: declare pointer! [float32!] d: as-float32 3.14 s4: :d --assert s4/value = as float32! 3.14 --test-- "get-var-local-1" s5: declare int-ptr! foo: func [/local a [integer!]][ a: 456 s5: :a --assert s5/value = 456 ] foo --test-- "get-path-1" s1: declare struct! [ a [integer!] b [byte!] c [integer!] d [byte!] ] s1/a: 123 s1/b: #"b" s1/c: 456 s1/d: #"d" gp1: :s1/a --assert gp1/value = 123 --assert s1/a = 123 gp1/value: 789 --assert gp1/value = 789 --assert s1/a = 789 --assert s1/b = #"b" ;-- checks eventual overflow gp1: :s1/c gp1/value: 42 --assert gp1/value = 42 --assert s1/a = 789 --assert s1/b = #"b" ;-- checks eventual overflow --assert s1/c = 42 --assert s1/d = #"d" ;-- checks eventual overflow --test-- "get-path-2" gp2-fun: func [return: [int-ptr!]][:s1/c] gp2: gp2-fun gp2/value: -1 --assert s1/a = 789 --assert s1/b = #"b" ;-- checks eventual overflow --assert s1/c = -1 --assert s1/d = #"d" ;-- checks eventual overflow --test-- "get-path-3" gp3!: alias struct! [z [integer!]] gp3-fun: func [return: [int-ptr!] /local ls [gp3!]][ ls: declare gp3! ls/z: 147 --assert true ;-- resets accumulator register :ls/z ] p3: gp3-fun --assert p3/value = 147 --test-- "get-path-4" gp4-fun: func [p [int-ptr!]][ --assert p/value = 654 p/value: 321 ] s1/c: 654 gp4-fun :s1/c --assert s1/a = 789 --assert s1/b = #"b" ;-- checks eventual overflow --assert s1/c = 321 --assert s1/d = #"d" ;-- checks eventual overflow --test-- "get-path-5" b!: alias struct! [ b1 [byte!] b2 [integer!] ] gp5: declare struct! [ x [byte!] bb [b!] val [integer!] ] gp5/bb: as b! allocate size? b! gp5/bb/b1: #"A" p-bb-b1: :gp5/bb/b1 --assert gp5/bb/b1 = #"A" --assert #"A" = as byte! p-bb-b1/value ~~~end-file~~~
Red
5
0xflotus/red
system/tests/source/units/get-pointer-test.reds
[ "BSL-1.0", "BSD-3-Clause" ]
fun test() = for ()
Kotlin
0
qussarah/declare
compiler/testData/psi/recovery/ForWithoutBodyInEOF.kt
[ "Apache-2.0" ]
3 dmetro 1000 2 500 line 0.1 sine
SourcePawn
0
aleatoricforest/Sporth
examples/line.sp
[ "MIT" ]
extends ScrollContainer export(bool) var auto_scroll = false setget set_auto_scroll func _ready(): var scrollbar = get_v_scrollbar() scrollbar.connect("scrolling", self, "_on_scrolling") func _process(_delta): if auto_scroll: var scrollbar = get_v_scrollbar() scrollbar.value = scrollbar.max_value func set_auto_scroll(value): auto_scroll = value func _on_scrolling(): auto_scroll = false $"../CheckBoxScroll".pressed = false
GDScript
4
jonbonazza/godot-demo-projects
2d/physics_tests/utils/scroll_log.gd
[ "MIT" ]
tests/cases/compiler/noMappedGetSet.ts(2,9): error TS2464: A computed property name must be of type 'string', 'number', 'symbol', or 'any'. tests/cases/compiler/noMappedGetSet.ts(2,10): error TS2304: Cannot find name 'K'. tests/cases/compiler/noMappedGetSet.ts(2,15): error TS2304: Cannot find name 'WAT'. ==== tests/cases/compiler/noMappedGetSet.ts (3 errors) ==== type OH_NO = { get [K in WAT](): string ~~~~~~~~~~ !!! error TS2464: A computed property name must be of type 'string', 'number', 'symbol', or 'any'. ~ !!! error TS2304: Cannot find name 'K'. ~~~ !!! error TS2304: Cannot find name 'WAT'. };
Text
1
monciego/TypeScript
tests/baselines/reference/noMappedGetSet.errors.txt
[ "Apache-2.0" ]
#tag Class Class UIDevice Inherits NSObject #tag CompatibilityFlags = ( TargetIOS ) #tag Method, Flags = &h1021 Private Sub Constructor() LoadLibraries() // Calling the overridden superclass constructor. End Sub #tag EndMethod #tag Method, Flags = &h1021 Private Sub Constructor(obj as ptr) LoadLibraries() // Calling the overridden superclass constructor. Super.Constructor(obj) End Sub #tag EndMethod #tag Method, Flags = &h0 Shared Function currentDevice() As UIDevice dim cls as ptr = NSClassFromString("UIDevice") declare function currentDevice_ lib UIKitLib selector "currentDevice" (c as Ptr) as Ptr dim inst2 as ptr = currentDevice_(cls) dim obj as new UIDevice(inst2) return obj End Function #tag EndMethod #tag Method, Flags = &h21 Private Sub LoadLibraries() Declare Function dlopen Lib "/usr/lib/libSystem.dylib" ( name As CString, flags As Int32 ) As Ptr call dlopen("/System/Library/Frameworks/UIKit.framework/UIKit",5) End Sub #tag EndMethod #tag ComputedProperty, Flags = &h0 #tag Getter Get declare function getIdentifier lib UIKitLib selector "identifierForVendor" (obj as ptr) as ptr dim v as ptr = getIdentifier(self.ID) dim n as new NSUUID(v) return n.UUIDString End Get #tag EndGetter identifierForVendor As Text #tag EndComputedProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get declare function getLocalizedModel lib UIKitLib selector "localizedModel" (obj as ptr) as ptr dim p as ptr = getLocalizedModel(self.ID) dim nss as new NSString(p) dim txt as text = nss.UTF8String return txt End Get #tag EndGetter LocalizedModel As Text #tag EndComputedProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get declare function getModel lib UIKitLib selector "model" (obj as ptr) as ptr dim p as ptr = getModel(self.ID) dim nss as new NSString(p) dim txt as text = nss.UTF8String return txt End Get #tag EndGetter Model As Text #tag EndComputedProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get declare function isMultitaskingSupported lib UIKitLib selector "getIsMultitaskingSupported" (obj as ptr) as Boolean return isMultitaskingSupported(self.ID) End Get #tag EndGetter MultitaskingSupported As Boolean #tag EndComputedProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get declare function getName lib UIKitLib selector "name" (obj as ptr) as ptr dim p as ptr = getName(self.ID) dim nss as new NSString(p) dim txt as text = nss.UTF8String return txt End Get #tag EndGetter Name As Text #tag EndComputedProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get declare function getSystemName lib UIKitLib selector "systemName" (obj as ptr) as ptr dim p as ptr = getSystemName(self.ID) dim nss as new NSString(p) dim txt as text = nss.UTF8String return txt End Get #tag EndGetter SystemName As Text #tag EndComputedProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get declare function getSystemVersion lib UIKitLib selector "systemVersion" (obj as ptr) as ptr dim p as ptr = getSystemVersion(self.ID) dim nss as new NSString(p) dim txt as text = nss.UTF8String return txt End Get #tag EndGetter SystemVersion As Text #tag EndComputedProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get declare function getUserInterfaceIdiom lib UIKitLib selector "userInterfaceIdiom" (obj as ptr) as UIUserInterfaceIdiom return getUserInterfaceIdiom(self.ID) End Get #tag EndGetter UserInterfaceIdiom As UIUserInterfaceIdiom #tag EndComputedProperty #tag Enum, Name = UIUserInterfaceIdiom, Type = Integer, Flags = &h0 Unspecified = -1 Phone Pad #tag EndEnum #tag ViewBehavior #tag ViewProperty Name="identifierForVendor" Visible=false Group="Behavior" InitialValue="" Type="Text" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Index" Visible=true Group="ID" InitialValue="-2147483648" Type="Integer" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Left" Visible=true Group="Position" InitialValue="0" Type="Integer" EditorType="" #tag EndViewProperty #tag ViewProperty Name="LocalizedModel" Visible=false Group="Behavior" InitialValue="" Type="Text" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Model" Visible=false Group="Behavior" InitialValue="" Type="Text" EditorType="" #tag EndViewProperty #tag ViewProperty Name="MultitaskingSupported" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Name" Visible=true Group="ID" InitialValue="" Type="String" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Super" Visible=true Group="ID" InitialValue="" Type="String" EditorType="" #tag EndViewProperty #tag ViewProperty Name="SystemName" Visible=false Group="Behavior" InitialValue="" Type="Text" EditorType="" #tag EndViewProperty #tag ViewProperty Name="SystemVersion" Visible=false Group="Behavior" InitialValue="" Type="Text" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Top" Visible=true Group="Position" InitialValue="0" Type="Integer" EditorType="" #tag EndViewProperty #tag ViewProperty Name="UserInterfaceIdiom" Visible=false Group="Behavior" InitialValue="" Type="UIUserInterfaceIdiom" EditorType="Enum" #tag EnumValues "-1 - Unspecified" "0 - Phone" "1 - Pad" #tag EndEnumValues #tag EndViewProperty #tag EndViewBehavior End Class #tag EndClass
Xojo
4
kingj5/iOSKit
Modules/UIKit/UIDevice.xojo_code
[ "MIT" ]
/* Copyright (c) 2017-2019 Netronome Systems, Inc. All rights reserved. * * SPDX-License-Identifier: BSD-2-Clause */ ;TEST_INIT_EXEC nfp-reg mereg:i32.me0.XferIn_32=0x0 ;TEST_INIT_EXEC nfp-reg mereg:i32.me0.XferIn_33=0x0 ;TEST_INIT_EXEC nfp-reg mereg:i32.me0.XferIn_34=0xdeadbeef ;TEST_INIT_EXEC nfp-reg mereg:i32.me0.XferIn_35=0xdeadbeef #include "pkt_ipv4_udp_x88.uc" #include <global.uc> #include "actions_harness.uc" #include <actions.uc> #include "actions_classify_veb_insertion.uc" .reg key[2] .reg action[2] move(key[0], 0xfff00011) move(key[1], 0x22334455) move(action[0], 0xeeffc000) move(action[1], 0xefbeadde) veb_entry_insert(key, action, continue#) continue#: local_csr_wr[T_INDEX, (32 * 4)] immed[__actions_t_idx, (32 * 4)] test_assert_equal($__actions[0], 0x0) test_assert_equal($__actions[1], 0x0) alu[__actions_t_idx, t_idx_ctx, OR, &$__actions[0], <<2] nop local_csr_wr[T_INDEX, __actions_t_idx] nop nop nop __actions_veb_lookup(pkt_vec, discards_filter_mac#) test_assert_equal($__actions[0], 0xc0ffee) test_assert_equal($__actions[1], 0xdeadbeef) test_assert_equal(*$index++, 0xc0ffee) test_assert_equal(*$index++, 0xdeadbeef) test_pass() discards_filter_mac#: error_map_fd#: lookup_not_found#: test_fail() PV_SEEK_SUBROUTINE#: pv_seek_subroutine(pkt_vec)
UnrealScript
2
pcasconnetronome/nic-firmware
test/datapath/actions_classify_mac_vf_match_ipv4_udp_x88_test.uc
[ "BSD-2-Clause" ]
httpService = new http(); httpService.setUrl("http://localhost:28139/american-art/query"); httpService.setMethod("POST"); httpService.addParam(type="header", name="Content-type", value="application/sparql-query"); httpService.addParam(type="header", name="Accept", value="application/sparql-results+json"); httpService.addParam(type="body", value="#fileReadBinary(expandPath("./sample.sparql"))#"); result = httpService.send().getPrefix(); writeDump(result);
ColdFusion
3
csperando/curlconverter
test/fixtures/cfml/post_binary_file.cfm
[ "MIT" ]
// Autoscaling group for Teleport Authentication servers. // Auth servers are most privileged in terms of IAM roles // as they are allowed to publish to SSM parameter store, // write certificates to encrypted S3 bucket. resource "aws_autoscaling_group" "auth" { name = "${var.cluster_name}-auth" max_size = 5 min_size = length(local.azs) health_check_grace_period = 300 health_check_type = "EC2" desired_capacity = length(local.azs) force_delete = false launch_configuration = aws_launch_configuration.auth.name vpc_zone_identifier = aws_subnet.auth.*.id // These are target groups of the auth server network load balancer // this autoscaling group is associated with target groups of the NLB target_group_arns = [aws_lb_target_group.auth.arn] tag { key = "TeleportCluster" value = var.cluster_name propagate_at_launch = true } tag { key = "TeleportRole" value = "auth" propagate_at_launch = true } // external autoscale algos can modify these values, // so ignore changes to them lifecycle { ignore_changes = [ desired_capacity, max_size, min_size, ] } } resource "aws_launch_configuration" "auth" { lifecycle { create_before_destroy = true } name_prefix = "${var.cluster_name}-auth-" image_id = data.aws_ami.base.id instance_type = var.auth_instance_type user_data = templatefile( "${path.module}/auth-user-data.tpl", { region = var.region locks_table_name = aws_dynamodb_table.locks.name auth_server_addr = aws_lb.auth.dns_name cluster_name = var.cluster_name dynamo_table_name = aws_dynamodb_table.teleport.name dynamo_events_table_name = aws_dynamodb_table.teleport_events.name email = var.email domain_name = var.route53_domain s3_bucket = var.s3_bucket_name influxdb_addr = "http://${aws_lb.monitor.dns_name}:8086" license_path = var.license_path telegraf_version = var.telegraf_version teleport_uid = var.teleport_uid use_acm = var.use_acm } ) key_name = var.key_name ebs_optimized = true associate_public_ip_address = false security_groups = [aws_security_group.auth.id] iam_instance_profile = aws_iam_instance_profile.auth.id }
HCL
5
antonio-te/teleport
examples/aws/terraform/ha-autoscale-cluster/auth_asg.tf
[ "Apache-2.0" ]
import createSvgIcon from './utils/createSvgIcon'; import { jsx as _jsx } from "react/jsx-runtime"; export default createSvgIcon( /*#__PURE__*/_jsx("path", { d: "M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zm-2 6h-1.7l-4.71 8.49c-.18.31-.52.51-.88.51H7c-.83 0-1.5-.67-1.5-1.5S6.17 15 7 15h1.7l4.71-8.49c.18-.31.52-.51.88-.51H17c.83 0 1.5.67 1.5 1.5S17.83 9 17 9z" }), 'EscalatorRounded');
JavaScript
4
good-gym/material-ui
packages/material-ui-icons/lib/esm/EscalatorRounded.js
[ "MIT" ]
import { {{{ creator }}}, History } from '{{{ runtimePath }}}'; let options = {{{ options }}}; if ((<any>window).routerBase) { options.basename = (<any>window).routerBase; } // remove initial history because of ssr let history: History = process.env.__IS_SERVER ? null : {{{ creator }}}(options); export const createHistory = (hotReload = false) => { if (!hotReload) { history = {{{ creator }}}(options); } return history; }; export { history };
Smarty
4
Dolov/umi
packages/preset-built-in/src/plugins/generateFiles/core/history.tpl
[ "MIT" ]
<http://example.org/thing> <http://example.org/label> "\u007F" . <http://example.org/thing> <http://example.org/label> "" .
Turtle
1
joshrose/audacity
lib-src/lv2/serd/tests/good/test-delete.ttl
[ "CC-BY-3.0" ]
; inherits: ocaml
Scheme
1
yzia2000/nvim-treesitter
queries/ocaml_interface/locals.scm
[ "Apache-2.0" ]
// #docplaster // #docregion formgroup, nested-formgroup import { Component } from '@angular/core'; // #docregion imports import { FormGroup, FormControl } from '@angular/forms'; // #enddocregion imports @Component({ selector: 'app-profile-editor', templateUrl: './profile-editor.component.html', styleUrls: ['./profile-editor.component.css'] }) export class ProfileEditorComponent { // #docregion formgroup-compare profileForm = new FormGroup({ firstName: new FormControl(''), lastName: new FormControl(''), // #enddocregion formgroup address: new FormGroup({ street: new FormControl(''), city: new FormControl(''), state: new FormControl(''), zip: new FormControl('') }) // #docregion formgroup }); // #enddocregion formgroup, nested-formgroup, formgroup-compare // #docregion patch-value updateProfile() { this.profileForm.patchValue({ firstName: 'Nancy', address: { street: '123 Drew Street' } }); } // #enddocregion patch-value // #docregion formgroup, nested-formgroup } // #enddocregion formgroup
TypeScript
4
coreyscherbing/angular
aio/content/examples/reactive-forms/src/app/profile-editor/profile-editor.component.1.ts
[ "MIT" ]
// check-pass pub struct Xyz<'a, V> { pub v: (V, &'a u32), } pub fn eq<'a, 's, 't, V>(this: &'s Xyz<'a, V>, other: &'t Xyz<'a, V>) -> bool where V: PartialEq { this.v == other.v } fn main() {}
Rust
4
Eric-Arellano/rust
src/test/ui/issues/issue-28999.rs
[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]
module Ref { @ A rate group active component with input and output scheduler ports queued component SendBuff { # ---------------------------------------------------------------------- # Types # ---------------------------------------------------------------------- @ Active state enum ActiveState { SEND_IDLE SEND_ACTIVE } # ---------------------------------------------------------------------- # General Ports # ---------------------------------------------------------------------- @ The rate group scheduler input sync input port SchedIn: Svc.Sched @ The data buffer output output port Data: Drv.DataBuffer # ---------------------------------------------------------------------- # Special ports # ---------------------------------------------------------------------- @ Command receive port command recv port CmdDisp @ Command registration port command reg port CmdReg @ Command response port command resp port CmdStatus @ Event port event port Log @ Text event port text event port LogText @ Time get port time get port Time @ Telemetry port telemetry port Tlm @ Param get port param get port ParamGet @ Param set port param set port ParamSet # ---------------------------------------------------------------------- # Commands # ---------------------------------------------------------------------- @ Command to start sending packets async command SB_START_PKTS \ opcode 0 @ Send a bad packet async command SB_INJECT_PKT_ERROR \ opcode 1 @ Generate a FATAL EVR async command SB_GEN_FATAL( arg1: U32 @< First FATAL Argument arg2: U32 @< Second FATAL Argument arg3: U32 @< Third FATAL Argument ) \ opcode 2 @ Generate an ASSERT async command SB_GEN_ASSERT( arg1: U32 @< First ASSERT Argument arg2: U32 @< Second ASSERT Argument arg3: U32 @< Third ASSERT Argument arg4: U32 @< Fourth ASSERT Argument arg5: U32 @< Fifth ASSERT Argument arg6: U32 @< Sixth ASSERT Argument ) \ opcode 3 # ---------------------------------------------------------------------- # Events # ---------------------------------------------------------------------- @ First packet send event FirstPacketSent( $id: U32 @< The ID argument ) \ severity activity high \ id 0 \ format "First packet ID {} received" @ Packet checksum error event PacketErrorInserted( $id: U32 @< The ID argument ) \ severity warning high \ id 1 \ format "Inserted error in packet ID {}" @ Report parameter update event BuffSendParameterUpdated( $id: U32 @< The ID argument ) \ severity activity low \ id 2 \ format "BuffSend Parameter {} was updated" @ A test FATAL event SendBuffFatal( arg1: U32 @< First FATAL argument arg2: U32 @< Second FATAL argument arg3: U32 @< Second FATAL argument ) \ severity fatal \ id 3 \ format "Test Fatal: {} {} {}" # ---------------------------------------------------------------------- # Parameters # ---------------------------------------------------------------------- @ A test parameter param parameter3: U8 default 12 id 0 \ set opcode 10 \ save opcode 11 @ A test parameter param parameter4: F32 default 13.14 id 1 \ set opcode 12 \ save opcode 13 # ---------------------------------------------------------------------- # Telemetry # ---------------------------------------------------------------------- @ Number of packets sent telemetry PacketsSent: U64 id 0 @ Number of errors injected telemetry NumErrorsInjected: U32 id 1 update on change @ Readback of Parameter3 telemetry Parameter3: U8 id 2 update on change @ Readback of Parameter4 telemetry Parameter4: F32 id 3 update on change @ Readback of Parameter4 telemetry SendState: ActiveState id 4 } }
FORTRAN
5
AlperenCetin0/fprime
Ref/SendBuffApp/SendBuffApp.fpp
[ "Apache-2.0" ]
static const uint32_t in_com1[20] = { 0x3F8E0B0D, 0x00000000, 0x797DE90A, 0xC0000000, 0xAD148FFB, 0xC0000000, 0x19A8F582, 0x00000000, 0x8E8D83F5, 0xE0000000, 0x2C327693, 0x60000000, 0x7F600521, 0xC0000000, 0x1A6791F0, 0xC0000000, 0x95C9FF5C, 0x20000000, 0xF1DA90AF, 0x20000000 }; static const uint32_t in_com2[20] = { 0xF2984E35, 0xA0000000, 0x5F06BD8F, 0xC0000000, 0xCA3C7B49, 0x60000000, 0xD29C8D0D, 0xA0000000, 0x38307302, 0xA0000000, 0x147C122A, 0xE0000000, 0x07416257, 0xA0000000, 0xCCD51E2F, 0x20000000, 0x34C48876, 0x00000000, 0x61A4DE20, 0xA0000000 }; static const uint16_t in_dims[3] = { 0x000A, 0x0023, 0x0002 }; static const uint32_t ref_dice[10] = { 0x3ef0f0f1, 0x3ebb512c, 0x3ee66666, 0x3f1ce73a, 0x3f326c9b, 0x3f000000, 0x3f19999a, 0x3f2aaaab, 0x3ef0f0f1, 0x3f078788 }; static const uint32_t ref_hamming[10] = { 0x3eea0ea1, 0x3edb6db7, 0x3f03a83b, 0x3f0af8b0, 0x3f283a84, 0x3eea0ea1, 0x3f03a83b, 0x3f2f8af9, 0x3eea0ea1, 0x3f03a83b }; static const uint32_t ref_jaccard[10] = { 0x3f23d70a, 0x3f092492, 0x3f1ee584, 0x3f428f5c, 0x3f524925, 0x3f2aaaab, 0x3f400000, 0x3f4ccccd, 0x3f23d70a, 0x3f313b14 }; static const uint32_t ref_kulsinski[10] = { 0x3f52d2d3, 0x3f3d70a4, 0x3f4ade30, 0x3f638e39, 0x3f69ee58, 0x3f57d7d8, 0x3f6304d5, 0x3f65f752, 0x3f52d2d3, 0x3f595bc6 }; static const uint32_t ref_rogerstanimoto[10] = { 0x3f20a0a1, 0x3f19999a, 0x3f2de305, 0x3f3425ed, 0x3f4b08d4, 0x3f20a0a1, 0x3f2de305, 0x3f50456c, 0x3f20a0a1, 0x3f2de305 }; static const uint32_t ref_russellrao[10] = { 0x3f3e2be3, 0x3f20ea0f, 0x3f2f8af9, 0x3f541d42, 0x3f5b6db7, 0x3f457c58, 0x3f541d42, 0x3f541d42, 0x3f3e2be3, 0x3f457c58 }; static const uint32_t ref_sokalmichener[10] = { 0x3f20a0a1, 0x3f19999a, 0x3f2de305, 0x3f3425ed, 0x3f4b08d4, 0x3f20a0a1, 0x3f2de305, 0x3f50456c, 0x3f20a0a1, 0x3f2de305 }; static const uint32_t ref_sokalsneath[10] = { 0x3f47ce0c, 0x3f329aca, 0x3f4415ca, 0x3f5d1746, 0x3f66e6e7, 0x3f4ccccd, 0x3f5b6db7, 0x3f638e39, 0x3f47ce0c, 0x3f51745d }; static const uint32_t ref_yule[10] = { 0x3f52d2d3, 0x3f430c31, 0x3f8c4623, 0x3f98375a, 0x3fc6318c, 0x3f559dab, 0x3f8d0fac, 0x3fd39b60, 0x3f321643, 0x3f844b99 };
Max
3
maxvankessel/zephyr
tests/lib/cmsis_dsp/distance/src/u32.pat
[ "Apache-2.0" ]
// Copyright 2010-2014 RethinkDB, all rights reserved. #include "arch/timing.hpp" #include "concurrency/cross_thread_watchable.hpp" #include "concurrency/watchable.hpp" #include "containers/clone_ptr.hpp" #include "containers/scoped.hpp" #include "unittest/unittest_utils.hpp" #include "unittest/gtest.hpp" namespace unittest { TPTEST(CrossThreadWatchable, CrossThreadWatchableTest) { on_thread_t thread_switcher((threadnum_t(0))); watchable_variable_t<int> watchable(0); cross_thread_watchable_variable_t<int> ctw(watchable.get_watchable(), threadnum_t(1)); int i; int expected_value = 0; try { for (i = 1; i < 100; ++i) { { on_thread_t switcher((threadnum_t(0))); watchable.set_value(i); expected_value = i; } { on_thread_t switcher((threadnum_t(1))); signal_timer_t timer; timer.start(5000); ctw.get_watchable()->run_until_satisfied( [expected_value](int b) -> bool { return expected_value == b; }, &timer); } } for (; i < 1000; ++i) { { on_thread_t switcher((threadnum_t(0))); int step = i + 25; for (; i < step; ++i) { watchable.set_value(i); expected_value = i; } } { on_thread_t switcher((threadnum_t(1))); signal_timer_t timer; timer.start(5000); ctw.get_watchable()->run_until_satisfied( [expected_value](int b) -> bool { return expected_value == b; }, &timer); } } } catch (const interrupted_exc_t &) { printf("%d\n", i); ASSERT_TRUE(false); //Probable a better way to just error but whatever } } } //namespace unittest
C++
3
zadcha/rethinkdb
src/unittest/cross_thread_watchable.cc
[ "Apache-2.0" ]
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8" /> <meta http-equiv="X-UA-Compatible" content="IE=edge" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <title>Welcome to Tauri!</title> </head> <body> <h1>Welcome to Tauri!</h1> <script> window.addEventListener('DOMContentLoaded', (event) => { window.__TAURI__ .invoke('tauri', { __tauriModule: 'Fs', message: { cmd: 'readBinaryFile', path: '.tauri_3mb.json', options: { // home folder dir: 11 } } }) .then((_data) => { // success window.__TAURI__.invoke('app_should_close', {exitCode: 0}); }) .catch((_error) => { // error window.__TAURI__.invoke('app_should_close', {exitCode: 1}); }) }) </script> </body> </html>
HTML
4
facklambda/tauri
tooling/bench/tests/files_transfer/public/index.html
[ "Apache-2.0", "MIT" ]
{} :configs $ {} (:reload-fn |app.main/reload!) (:port 6001) (:output |src) (:compact-output? true) (:version |0.0.1) :modules $ [] :init-fn |app.main/main! :local-ui? false :extension |.cljs :ir $ {} (:package |app) :files $ {} |app.lib $ {} :defs $ {} |f2 $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1618661020393) (:by |u0) |j $ {} (:text |f2) (:type :leaf) (:at 1618661020393) (:by |u0) |r $ {} :data $ {} :type :expr :at 1618661020393 :by |u0 |v $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618661024070) (:by |u0) |j $ {} (:text "|\"f2 in lib") (:type :leaf) (:at 1618661026271) (:by |u0) :type :expr :at 1618661022794 :by |u0 :type :expr :at 1618661020393 :by |u0 |f3 $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1618661052591) (:by |u0) |j $ {} (:text |f3) (:type :leaf) (:at 1618661052591) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |x) (:type :leaf) (:at 1618661067908) (:by |u0) :type :expr :at 1618661052591 :by |u0 |v $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618661055379) (:by |u0) |j $ {} (:text "|\"f3 in lib") (:type :leaf) (:at 1618661061473) (:by |u0) :type :expr :at 1618661054823 :by |u0 |x $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618661071077) (:by |u0) |j $ {} (:text "|\"v:") (:type :leaf) (:at 1618661073107) (:by |u0) |r $ {} (:text |x) (:type :leaf) (:at 1618661074709) (:by |u0) :type :expr :at 1618661070479 :by |u0 :type :expr :at 1618661052591 :by |u0 :proc $ {} :data $ {} :type :expr :at 1618661017191 :by |u0 :configs $ {} :ns $ {} :data $ {} |T $ {} (:text |ns) (:type :leaf) (:at 1618661017191) (:by |u0) |j $ {} (:text |app.lib) (:type :leaf) (:at 1618661017191) (:by |u0) :type :expr :at 1618661017191 :by |u0 |app.macro $ {} :defs $ {} |add-by-1 $ {} :data $ {} |T $ {} (:text |defmacro) (:type :leaf) (:at 1618740281235) (:by |u0) |j $ {} (:text |add-by-1) (:type :leaf) (:at 1618740276250) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |x) (:type :leaf) (:at 1618740282976) (:by |u0) :type :expr :at 1618740276250 :by |u0 |v $ {} :data $ {} |D $ {} (:text |quasiquote) (:type :leaf) (:at 1618740308945) (:by |u0) |T $ {} :data $ {} |T $ {} (:text |&+) (:type :leaf) (:at 1618740286902) (:by |u0) |j $ {} (:text |~x) (:type :leaf) (:at 1618740317157) (:by |u0) |r $ {} (:text |1) (:type :leaf) (:at 1618740287700) (:by |u0) :type :expr :at 1618740285475 :by |u0 :type :expr :at 1618740303995 :by |u0 :type :expr :at 1618740276250 :by |u0 |add-by-2 $ {} :data $ {} |T $ {} (:text |defmacro) (:type :leaf) (:at 1618740296031) (:by |u0) |j $ {} (:text |add-by-2) (:type :leaf) (:at 1618740293087) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |x) (:type :leaf) (:at 1618740299129) (:by |u0) :type :expr :at 1618740293087 :by |u0 |v $ {} :data $ {} |T $ {} (:text |quasiquote) (:type :leaf) (:at 1618740325280) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |&+) (:type :leaf) (:at 1618740331009) (:by |u0) |j $ {} (:text |2) (:type :leaf) (:at 1618740354540) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |add-by-1) (:type :leaf) (:at 1618740343769) (:by |u0) |j $ {} (:text |~x) (:type :leaf) (:at 1618740351578) (:by |u0) :type :expr :at 1618740340237 :by |u0 :type :expr :at 1618740327115 :by |u0 :type :expr :at 1618740300016 :by |u0 :type :expr :at 1618740293087 :by |u0 |add-num $ {} :data $ {} |T $ {} (:text |defmacro) (:type :leaf) (:at 1618663289791) (:by |u0) |j $ {} (:text |add-num) (:type :leaf) (:at 1618663286974) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |a) (:type :leaf) (:at 1618663291903) (:by |u0) |j $ {} (:text |b) (:type :leaf) (:at 1618663292537) (:by |u0) :type :expr :at 1618663286974 :by |u0 |v $ {} :data $ {} |D $ {} (:text |quasiquote) (:type :leaf) (:at 1618663328933) (:by |u0) |T $ {} :data $ {} |T $ {} (:text |&let) (:type :leaf) (:at 1618663307918) (:by |u0) |j $ {} (:text |nil) (:type :leaf) (:at 1618663305807) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |&+) (:type :leaf) (:at 1618663314951) (:by |u0) |j $ {} :data $ {} |D $ {} (:text |~) (:type :leaf) (:at 1618663333114) (:by |u0) |T $ {} (:text |a) (:type :leaf) (:at 1618663316680) (:by |u0) :type :expr :at 1618663331895 :by |u0 |r $ {} :data $ {} |D $ {} (:text |~) (:type :leaf) (:at 1618663336609) (:by |u0) |T $ {} (:text |b) (:type :leaf) (:at 1618663317648) (:by |u0) :type :expr :at 1618663335086 :by |u0 :type :expr :at 1618663312809 :by |u0 :type :expr :at 1618663294505 :by |u0 :type :expr :at 1618663324823 :by |u0 :type :expr :at 1618663286974 :by |u0 :proc $ {} :data $ {} :type :expr :at 1618663277036 :by |u0 :configs $ {} :ns $ {} :data $ {} |T $ {} (:text |ns) (:type :leaf) (:at 1618663277036) (:by |u0) |j $ {} (:text |app.macro) (:type :leaf) (:at 1618663277036) (:by |u0) :type :expr :at 1618663277036 :by |u0 |app.main $ {} :defs $ {} |call-macro $ {} :data $ {} |T $ {} (:text |defmacro) (:type :leaf) (:at 1618769678801) (:by |u0) |j $ {} (:text |call-macro) (:type :leaf) (:at 1618769676627) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |x0) (:type :leaf) (:at 1618769685522) (:by |u0) |j $ {} (:text |&) (:type :leaf) (:at 1618769686283) (:by |u0) |r $ {} (:text |xs) (:type :leaf) (:at 1618769686616) (:by |u0) :type :expr :at 1618769676627 :by |u0 |v $ {} :data $ {} |T $ {} (:text |quasiquote) (:type :leaf) (:at 1618769697898) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |&{}) (:type :leaf) (:at 1618769719548) (:by |u0) |j $ {} (:text |:a) (:type :leaf) (:at 1618769720509) (:by |u0) |n $ {} :data $ {} |D $ {} (:text |~) (:type :leaf) (:at 1618769730971) (:by |u0) |T $ {} (:text |x0) (:type :leaf) (:at 1618769722734) (:by |u0) :type :expr :at 1618769729161 :by |u0 |r $ {} (:text |:b) (:type :leaf) (:at 1618769723765) (:by |u0) |v $ {} :data $ {} |D $ {} (:text |[]) (:type :leaf) (:at 1618769809634) (:by |u0) |T $ {} :data $ {} |D $ {} (:text |~@) (:type :leaf) (:at 1618769865395) (:by |u0) |T $ {} (:text |xs) (:type :leaf) (:at 1618769725113) (:by |u0) :type :expr :at 1618769725387 :by |u0 :type :expr :at 1618769809158 :by |u0 :type :expr :at 1618769717127 :by |u0 :type :expr :at 1618769687244 :by |u0 :type :expr :at 1618769676627 :by |u0 |show-data $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1633872992647) (:by |u0) |j $ {} (:text |show-data) (:type :leaf) (:at 1633872992647) (:by |u0) |r $ {} :data $ {} :type :expr :at 1633872992647 :by |u0 |t $ {} :data $ {} |T $ {} (:text |load-console-formatter!) (:type :leaf) (:at 1633873031232) (:by |u0) :type :expr :at 1633873024178 :by |u0 |v $ {} :data $ {} |T $ {} (:text |js/console.log) (:type :leaf) (:at 1633872996602) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |defrecord!) (:type :leaf) (:at 1633873000863) (:by |u0) |j $ {} (:text |:Demo) (:type :leaf) (:at 1633873004188) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |:a) (:type :leaf) (:at 1633873004646) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1633873007810) (:by |u0) :type :expr :at 1633873006952 :by |u0 |v $ {} :data $ {} |T $ {} (:text |:b) (:type :leaf) (:at 1633873009838) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |{}) (:type :leaf) (:at 1633873011411) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |:a) (:type :leaf) (:at 1633873012008) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1633873013762) (:by |u0) :type :expr :at 1633873011697 :by |u0 :type :expr :at 1633873010851 :by |u0 :type :expr :at 1633873008937 :by |u0 :type :expr :at 1633872997079 :by |u0 :type :expr :at 1633872993861 :by |u0 :type :expr :at 1633872992647 :by |u0 |fib $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1619930459257) (:by |u0) |j $ {} (:text |fib) (:type :leaf) (:at 1619930459257) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |n) (:type :leaf) (:at 1619930460888) (:by |u0) :type :expr :at 1619930459257 :by |u0 |v $ {} :data $ {} |T $ {} (:text |if) (:type :leaf) (:at 1619930461900) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |<) (:type :leaf) (:at 1619930465800) (:by |u0) |j $ {} (:text |n) (:type :leaf) (:at 1619930466571) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1619930467516) (:by |u0) :type :expr :at 1619930462153 :by |u0 |p $ {} (:text |1) (:type :leaf) (:at 1619976301564) (:by |u0) |v $ {} :data $ {} |T $ {} (:text |+) (:type :leaf) (:at 1619930469867) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |fib) (:type :leaf) (:at 1619930473045) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |-) (:type :leaf) (:at 1619930475429) (:by |u0) |j $ {} (:text |n) (:type :leaf) (:at 1619930476120) (:by |u0) |r $ {} (:text |1) (:type :leaf) (:at 1619930476518) (:by |u0) :type :expr :at 1619930473244 :by |u0 :type :expr :at 1619930471373 :by |u0 |r $ {} :data $ {} |T $ {} (:text |fib) (:type :leaf) (:at 1619930473045) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |-) (:type :leaf) (:at 1619930475429) (:by |u0) |j $ {} (:text |n) (:type :leaf) (:at 1619930476120) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1619930481371) (:by |u0) :type :expr :at 1619930473244 :by |u0 :type :expr :at 1619930471373 :by |u0 :type :expr :at 1619930469154 :by |u0 :type :expr :at 1619930461450 :by |u0 :type :expr :at 1619930459257 :by |u0 |add-more $ {} :data $ {} |T $ {} (:text |defmacro) (:type :leaf) (:at 1618730354052) (:by |u0) |j $ {} (:text |add-more) (:type :leaf) (:at 1618730350902) (:by |u0) |r $ {} :data $ {} |D $ {} (:text |acc) (:type :leaf) (:at 1618730403604) (:by |u0) |T $ {} (:text |x) (:type :leaf) (:at 1618730358202) (:by |u0) |j $ {} (:text |times) (:type :leaf) (:at 1618730359828) (:by |u0) :type :expr :at 1618730350902 :by |u0 |v $ {} :data $ {} |T $ {} (:text |if) (:type :leaf) (:at 1618730362447) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |&<) (:type :leaf) (:at 1618730370296) (:by |u0) |b $ {} (:text |times) (:type :leaf) (:at 1618730372435) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618730539709) (:by |u0) :type :expr :at 1618730365650 :by |u0 |r $ {} (:text |acc) (:type :leaf) (:at 1618730533225) (:by |u0) |v $ {} :data $ {} |T $ {} (:text |recur) (:type :leaf) (:at 1618730381681) (:by |u0) |j $ {} :data $ {} |D $ {} (:text |quasiquote) (:type :leaf) (:at 1618730500531) (:by |u0) |T $ {} :data $ {} |D $ {} (:text |&+) (:type :leaf) (:at 1618730388781) (:by |u0) |T $ {} :data $ {} |D $ {} (:text |~) (:type :leaf) (:at 1618730486770) (:by |u0) |T $ {} (:text |x) (:type :leaf) (:at 1618730383299) (:by |u0) :type :expr :at 1618730485628 :by |u0 |j $ {} :data $ {} |D $ {} (:text |~) (:type :leaf) (:at 1618730489428) (:by |u0) |T $ {} (:text |acc) (:type :leaf) (:at 1618730412605) (:by |u0) :type :expr :at 1618730488250 :by |u0 :type :expr :at 1618730386375 :by |u0 :type :expr :at 1618730466064 :by |u0 |n $ {} (:text |x) (:type :leaf) (:at 1618730516278) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |&-) (:type :leaf) (:at 1618730435581) (:by |u0) |j $ {} (:text |times) (:type :leaf) (:at 1618730436881) (:by |u0) |r $ {} (:text |1) (:type :leaf) (:at 1618730437157) (:by |u0) :type :expr :at 1618730434451 :by |u0 :type :expr :at 1618730378436 :by |u0 :type :expr :at 1618730361081 :by |u0 :type :expr :at 1618730350902 :by |u0 |test-args $ {} :data $ {} |yT $ {} :data $ {} |T $ {} (:text |call-many) (:type :leaf) (:at 1618769507599) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618769545875) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618769546500) (:by |u0) |v $ {} (:text |3) (:type :leaf) (:at 1618769546751) (:by |u0) :type :expr :at 1618769504303 :by |u0 |yj $ {} :data $ {} |D $ {} (:text |echo) (:type :leaf) (:at 1618769891472) (:by |u0) |T $ {} :data $ {} |D $ {} (:text |macroexpand) (:type :leaf) (:at 1618769888788) (:by |u0) |T $ {} :data $ {} |T $ {} (:text |call-macro) (:type :leaf) (:at 1618769675192) (:by |u0) |j $ {} (:text |11) (:type :leaf) (:at 1618769762350) (:by |u0) |r $ {} (:text |12) (:type :leaf) (:at 1618769837129) (:by |u0) |v $ {} (:text |13) (:type :leaf) (:at 1618769849272) (:by |u0) :type :expr :at 1618769673535 :by |u0 :type :expr :at 1618769885586 :by |u0 :type :expr :at 1618769890713 :by |u0 |T $ {} (:text |defn) (:type :leaf) (:at 1618767933203) (:by |u0) |j $ {} (:text |test-args) (:type :leaf) (:at 1618767933203) (:by |u0) |r $ {} :data $ {} :type :expr :at 1618767933203 :by |u0 |v $ {} :data $ {} |T $ {} (:text |call-3) (:type :leaf) (:at 1618767946838) (:by |u0) |b $ {} (:text |&) (:type :leaf) (:at 1618767951283) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |[]) (:type :leaf) (:at 1618767948346) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618767949355) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618767949593) (:by |u0) |v $ {} (:text |3) (:type :leaf) (:at 1618769480611) (:by |u0) :type :expr :at 1618767948145 :by |u0 :type :expr :at 1618767936819 :by |u0 |x $ {} :data $ {} |T $ {} (:text |call-many) (:type :leaf) (:at 1618769507599) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618769530122) (:by |u0) :type :expr :at 1618769504303 :by |u0 |y $ {} :data $ {} |T $ {} (:text |call-many) (:type :leaf) (:at 1618769507599) (:by |u0) |b $ {} (:text |1) (:type :leaf) (:at 1618769543673) (:by |u0) |j $ {} (:text |2) (:type :leaf) (:at 1618769540547) (:by |u0) :type :expr :at 1618769504303 :by |u0 :type :expr :at 1618767933203 :by |u0 |call-many $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1618769509051) (:by |u0) |j $ {} (:text |call-many) (:type :leaf) (:at 1618769509051) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |x0) (:type :leaf) (:at 1618769511818) (:by |u0) |j $ {} (:text |&) (:type :leaf) (:at 1618769513121) (:by |u0) |r $ {} (:text |xs) (:type :leaf) (:at 1618769517543) (:by |u0) :type :expr :at 1618769509051 :by |u0 |t $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618769533874) (:by |u0) |j $ {} (:text "|\"many...") (:type :leaf) (:at 1618769535535) (:by |u0) :type :expr :at 1618769532837 :by |u0 |v $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618769519471) (:by |u0) |j $ {} (:text "|\"x0") (:type :leaf) (:at 1618769522352) (:by |u0) |r $ {} (:text |x0) (:type :leaf) (:at 1618769523977) (:by |u0) :type :expr :at 1618769518829 :by |u0 |x $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618769525175) (:by |u0) |j $ {} (:text "|\"xs") (:type :leaf) (:at 1618769525982) (:by |u0) |r $ {} (:text |xs) (:type :leaf) (:at 1618769526896) (:by |u0) :type :expr :at 1618769524533 :by |u0 :type :expr :at 1618769509051 :by |u0 |demos $ {} :data $ {} |yyT $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618664966725) (:by |u0) |j $ {} (:text "|\"quote:") (:type :leaf) (:at 1618664980683) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |quote) (:type :leaf) (:at 1618664969526) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |&+) (:type :leaf) (:at 1618665001007) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618664970588) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618664970840) (:by |u0) :type :expr :at 1618664969796 :by |u0 :type :expr :at 1618664968766 :by |u0 :type :expr :at 1618664966181 :by |u0 |yyb $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618665182898) (:by |u0) |j $ {} (:text "|\"quo:") (:type :leaf) (:at 1618665185901) (:by |u0) |r $ {} (:text |'demo) (:type :leaf) (:at 1618665190172) (:by |u0) |v $ {} :data $ {} |T $ {} (:text |quote) (:type :leaf) (:at 1618665202393) (:by |u0) |j $ {} (:text |'demo) (:type :leaf) (:at 1618665203149) (:by |u0) :type :expr :at 1618665201691 :by |u0 :type :expr :at 1618665182369 :by |u0 |yyj $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618664972897) (:by |u0) |j $ {} (:text "|\"eval:") (:type :leaf) (:at 1618664978986) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |eval) (:type :leaf) (:at 1618664982687) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |quote) (:type :leaf) (:at 1618664984086) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |&+) (:type :leaf) (:at 1618664995431) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618664985011) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618664985257) (:by |u0) :type :expr :at 1618664984358 :by |u0 :type :expr :at 1618664983058 :by |u0 :type :expr :at 1618664981960 :by |u0 :type :expr :at 1618664972310 :by |u0 |yyr $ {} :data $ {} |T $ {} (:text |if) (:type :leaf) (:at 1618673510809) (:by |u0) |j $ {} (:text |true) (:type :leaf) (:at 1618673513600) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618673514609) (:by |u0) |j $ {} (:text "|\"true") (:type :leaf) (:at 1618673517373) (:by |u0) :type :expr :at 1618673514067 :by |u0 :type :expr :at 1618673510188 :by |u0 |yyv $ {} :data $ {} |T $ {} (:text |if) (:type :leaf) (:at 1618673510809) (:by |u0) |j $ {} (:text |false) (:type :leaf) (:at 1618673522034) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618673514609) (:by |u0) |j $ {} (:text "|\"true") (:type :leaf) (:at 1618673517373) (:by |u0) :type :expr :at 1618673514067 :by |u0 |v $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618673525729) (:by |u0) |j $ {} (:text "|\"false") (:type :leaf) (:at 1618673526734) (:by |u0) :type :expr :at 1618673524977 :by |u0 :type :expr :at 1618673510188 :by |u0 |yyx $ {} :data $ {} |T $ {} (:text |if) (:type :leaf) (:at 1618673529821) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |&+) (:type :leaf) (:at 1618673534134) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618673534565) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618673534799) (:by |u0) :type :expr :at 1618673530125 :by |u0 |r $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618673536109) (:by |u0) |j $ {} (:text "|\"3") (:type :leaf) (:at 1618673538376) (:by |u0) :type :expr :at 1618673537272 :by |u0 |v $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618673541276) (:by |u0) |j $ {} (:text "|\"?") (:type :leaf) (:at 1618673542363) (:by |u0) :type :expr :at 1618673540682 :by |u0 :type :expr :at 1618673529205 :by |u0 |yyy $ {} :data $ {} |T $ {} (:text |&let) (:type :leaf) (:at 1618674587642) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |a) (:type :leaf) (:at 1618674589371) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618674589618) (:by |u0) :type :expr :at 1618674588361 :by |u0 |r $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618674592232) (:by |u0) |j $ {} (:text "|\"a is:") (:type :leaf) (:at 1618674596559) (:by |u0) |r $ {} (:text |a) (:type :leaf) (:at 1618674595408) (:by |u0) :type :expr :at 1618674591714 :by |u0 :type :expr :at 1618674585688 :by |u0 |yyyT $ {} :data $ {} |T $ {} (:text |&let) (:type :leaf) (:at 1618674587642) (:by |u0) |f $ {} (:text |nil) (:type :leaf) (:at 1618674603307) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618674592232) (:by |u0) |j $ {} (:text "|\"a is none") (:type :leaf) (:at 1618674610267) (:by |u0) :type :expr :at 1618674591714 :by |u0 :type :expr :at 1618674585688 :by |u0 |yyyj $ {} :data $ {} |T $ {} (:text |&let) (:type :leaf) (:at 1618674612756) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |a) (:type :leaf) (:at 1618674613637) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |&+) (:type :leaf) (:at 1618674617692) (:by |u0) |j $ {} (:text |3) (:type :leaf) (:at 1618674618272) (:by |u0) |r $ {} (:text |4) (:type :leaf) (:at 1618674618576) (:by |u0) :type :expr :at 1618674615215 :by |u0 :type :expr :at 1618674613267 :by |u0 |r $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618674621967) (:by |u0) |j $ {} (:text "|\"a is:") (:type :leaf) (:at 1618674624057) (:by |u0) |r $ {} (:text |a) (:type :leaf) (:at 1618674624971) (:by |u0) :type :expr :at 1618674621227 :by |u0 :type :expr :at 1618674611597 :by |u0 |yyyr $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618681701504) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |rest) (:type :leaf) (:at 1618681702755) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |[]) (:type :leaf) (:at 1618681704264) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618681704468) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618681704653) (:by |u0) |v $ {} (:text |3) (:type :leaf) (:at 1618681705572) (:by |u0) |x $ {} (:text |4) (:type :leaf) (:at 1618681705808) (:by |u0) :type :expr :at 1618681703369 :by |u0 :type :expr :at 1618681701785 :by |u0 :type :expr :at 1618681700994 :by |u0 |yyyv $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618682122607) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |type-of) (:type :leaf) (:at 1618682124422) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |[]) (:type :leaf) (:at 1618682124941) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618682127480) (:by |u0) :type :expr :at 1618682124681 :by |u0 :type :expr :at 1618682123605 :by |u0 :type :expr :at 1618682122124 :by |u0 |yyyx $ {} :data $ {} |D $ {} (:text |echo) (:type :leaf) (:at 1618682971333) (:by |u0) |L $ {} (:text "|\"result:") (:type :leaf) (:at 1618682973563) (:by |u0) |T $ {} :data $ {} |T $ {} (:text |foldl) (:type :leaf) (:at 1618682940605) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |[]) (:type :leaf) (:at 1618682942650) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618682944334) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618682944566) (:by |u0) |v $ {} (:text |3) (:type :leaf) (:at 1618682944835) (:by |u0) |x $ {} (:text |4) (:type :leaf) (:at 1618682945203) (:by |u0) :type :expr :at 1618682942439 :by |u0 |r $ {} (:text |0) (:type :leaf) (:at 1618682947341) (:by |u0) |v $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1618682953315) (:by |u0) |j $ {} (:text |f1) (:type :leaf) (:at 1618682955242) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |acc) (:type :leaf) (:at 1618682958260) (:by |u0) |j $ {} (:text |x) (:type :leaf) (:at 1618682958862) (:by |u0) :type :expr :at 1618682956170 :by |u0 |t $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618682976544) (:by |u0) |j $ {} (:text "|\"adding:") (:type :leaf) (:at 1618682979610) (:by |u0) |n $ {} (:text |acc) (:type :leaf) (:at 1618683016109) (:by |u0) |r $ {} (:text |x) (:type :leaf) (:at 1618682978465) (:by |u0) :type :expr :at 1618682975336 :by |u0 |v $ {} :data $ {} |T $ {} (:text |&+) (:type :leaf) (:at 1618682965361) (:by |u0) |j $ {} (:text |acc) (:type :leaf) (:at 1618682962994) (:by |u0) |r $ {} (:text |x) (:type :leaf) (:at 1618682964049) (:by |u0) :type :expr :at 1618682960354 :by |u0 :type :expr :at 1618682949689 :by |u0 :type :expr :at 1618682938708 :by |u0 :type :expr :at 1618682969714 :by |u0 |yyyy $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618720206820) (:by |u0) |j $ {} (:text "|\"macro:") (:type :leaf) (:at 1618720208707) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |add-num) (:type :leaf) (:at 1618720209139) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618720211273) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618720211522) (:by |u0) :type :expr :at 1618720210191 :by |u0 :type :expr :at 1618720206313 :by |u0 |yyyyT $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618723114194) (:by |u0) |j $ {} (:text "|\"sum:") (:type :leaf) (:at 1618723701346) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |rec-sum) (:type :leaf) (:at 1618723121717) (:by |u0) |j $ {} (:text |0) (:type :leaf) (:at 1618723122699) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |[]) (:type :leaf) (:at 1618723123387) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618723124101) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618723124374) (:by |u0) |v $ {} (:text |3) (:type :leaf) (:at 1618723124700) (:by |u0) |x $ {} (:text |4) (:type :leaf) (:at 1618723125706) (:by |u0) :type :expr :at 1618723123028 :by |u0 :type :expr :at 1618723116484 :by |u0 :type :expr :at 1618723113290 :by |u0 |yyyyb $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618729369263) (:by |u0) |j $ {} (:text "|\"expand-1:") (:type :leaf) (:at 1618729369263) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |macroexpand-1) (:type :leaf) (:at 1618729369263) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |quote) (:type :leaf) (:at 1618729369263) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |add-num) (:type :leaf) (:at 1618729369263) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618729369263) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618729369263) (:by |u0) :type :expr :at 1618729369263 :by |u0 :type :expr :at 1618729369263 :by |u0 :type :expr :at 1618729369263 :by |u0 :type :expr :at 1618729369263 :by |u0 |yyyyj $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618728236844) (:by |u0) |j $ {} (:text "|\"expand:") (:type :leaf) (:at 1618728240766) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |macroexpand) (:type :leaf) (:at 1618729257611) (:by |u0) |j $ {} :data $ {} |D $ {} (:text |quote) (:type :leaf) (:at 1618728293719) (:by |u0) |T $ {} :data $ {} |T $ {} (:text |add-num) (:type :leaf) (:at 1618728250500) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618728250838) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618728251146) (:by |u0) :type :expr :at 1618728247075 :by |u0 :type :expr :at 1618728292870 :by |u0 :type :expr :at 1618728241448 :by |u0 :type :expr :at 1618728236147 :by |u0 |yyyyr $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618728236844) (:by |u0) |j $ {} (:text "|\"expand:") (:type :leaf) (:at 1618728240766) (:by |u0) |r $ {} :data $ {} |D $ {} (:text |format-to-lisp) (:type :leaf) (:at 1618769245430) (:by |u0) |T $ {} :data $ {} |T $ {} (:text |macroexpand) (:type :leaf) (:at 1618729257611) (:by |u0) |j $ {} :data $ {} |D $ {} (:text |quote) (:type :leaf) (:at 1618728293719) (:by |u0) |T $ {} :data $ {} |T $ {} (:text |add-more) (:type :leaf) (:at 1618730300485) (:by |u0) |b $ {} (:text |0) (:type :leaf) (:at 1618730406639) (:by |u0) |j $ {} (:text |3) (:type :leaf) (:at 1618730347804) (:by |u0) |r $ {} (:text |8) (:type :leaf) (:at 1618730348853) (:by |u0) :type :expr :at 1618728247075 :by |u0 :type :expr :at 1618728292870 :by |u0 :type :expr :at 1618728241448 :by |u0 :type :expr :at 1618769244761 :by |u0 :type :expr :at 1618728236147 :by |u0 |yyyyv $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618728236844) (:by |u0) |j $ {} (:text "|\"expand v:") (:type :leaf) (:at 1618730586955) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |add-more) (:type :leaf) (:at 1618730585215) (:by |u0) |j $ {} (:text |0) (:type :leaf) (:at 1618730585215) (:by |u0) |r $ {} (:text |3) (:type :leaf) (:at 1618730585215) (:by |u0) |v $ {} (:text |8) (:type :leaf) (:at 1618730585215) (:by |u0) :type :expr :at 1618730585215 :by |u0 :type :expr :at 1618728236147 :by |u0 |yyyyx $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618740378663) (:by |u0) |j $ {} (:text "|\"call and call") (:type :leaf) (:at 1618740385798) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |add-by-2) (:type :leaf) (:at 1618740386840) (:by |u0) |j $ {} (:text |10) (:type :leaf) (:at 1618740388181) (:by |u0) :type :expr :at 1618740386339 :by |u0 :type :expr :at 1618740378070 :by |u0 |yyyyy $ {} :data $ {} |5 $ {} (:text |;) (:type :leaf) (:at 1618772534094) (:by |u0) |D $ {} (:text |echo) (:type :leaf) (:at 1618770030105) (:by |u0) |T $ {} :data $ {} |D $ {} (:text |macroexpand) (:type :leaf) (:at 1618770034555) (:by |u0) |T $ {} :data $ {} |T $ {} (:text |assert=) (:type :leaf) (:at 1618752133902) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618752134923) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618752135294) (:by |u0) :type :expr :at 1618752131764 :by |u0 :type :expr :at 1618770031138 :by |u0 :type :expr :at 1618770028090 :by |u0 |yT $ {} :data $ {} |T $ {} (:text |print-values) (:type :leaf) (:at 1633952520593) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618659590535) (:by |u0) |r $ {} (:text "|\"1") (:type :leaf) (:at 1618659591512) (:by |u0) |v $ {} (:text |:a) (:type :leaf) (:at 1618659595541) (:by |u0) |x $ {} :data $ {} |T $ {} (:text |[]) (:type :leaf) (:at 1618659596880) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618659597668) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618659597892) (:by |u0) :type :expr :at 1618659596691 :by |u0 :type :expr :at 1618659585738 :by |u0 |yj $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618660537901) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |&{}) (:type :leaf) (:at 1618660568253) (:by |u0) |j $ {} (:text |:a) (:type :leaf) (:at 1618660541656) (:by |u0) |r $ {} (:text |1) (:type :leaf) (:at 1618660542971) (:by |u0) |v $ {} (:text |:b) (:type :leaf) (:at 1618660543782) (:by |u0) |x $ {} (:text |2) (:type :leaf) (:at 1618660544981) (:by |u0) :type :expr :at 1618660538186 :by |u0 :type :expr :at 1618660536373 :by |u0 |yr $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618660963956) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |#{}) (:type :leaf) (:at 1618660965160) (:by |u0) |j $ {} (:text |1) (:type :leaf) (:at 1618660965550) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618660965773) (:by |u0) |v $ {} (:text |3) (:type :leaf) (:at 1618660966299) (:by |u0) |x $ {} (:text ||four) (:type :leaf) (:at 1618660970012) (:by |u0) :type :expr :at 1618660964279 :by |u0 :type :expr :at 1618660963223 :by |u0 |yx $ {} :data $ {} |T $ {} (:text |lib/f2) (:type :leaf) (:at 1618661298818) (:by |u0) :type :expr :at 1618661082170 :by |u0 |yy $ {} :data $ {} |T $ {} (:text |f3) (:type :leaf) (:at 1618661302264) (:by |u0) |j $ {} (:text "|\"arg of 3") (:type :leaf) (:at 1618661308107) (:by |u0) :type :expr :at 1618661300982 :by |u0 |T $ {} (:text |defn) (:type :leaf) (:at 1618539520156) (:by |u0) |j $ {} (:text |demos) (:type :leaf) (:at 1619930563832) (:by |u0) |r $ {} :data $ {} :type :expr :at 1618539520156 :by |u0 |v $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618539524965) (:by |u0) |j $ {} (:text "|\"demo") (:type :leaf) (:at 1618539525898) (:by |u0) :type :expr :at 1618539523268 :by |u0 |x $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618646119371) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |&+) (:type :leaf) (:at 1618646122999) (:by |u0) |j $ {} (:text |2) (:type :leaf) (:at 1618658555366) (:by |u0) |r $ {} (:text |2) (:type :leaf) (:at 1618646121081) (:by |u0) :type :expr :at 1618646119955 :by |u0 :type :expr :at 1618646117925 :by |u0 |y $ {} :data $ {} |D $ {} (:text |echo) (:type :leaf) (:at 1618658519944) (:by |u0) |L $ {} (:text "|\"f1") (:type :leaf) (:at 1618658520784) (:by |u0) |T $ {} :data $ {} |T $ {} (:text |f1) (:type :leaf) (:at 1618658495406) (:by |u0) :type :expr :at 1618658494170 :by |u0 :type :expr :at 1618658517774 :by |u0 |yyyyyT $ {} :data $ {} |T $ {} (:text |test-args) (:type :leaf) (:at 1618767932151) (:by |u0) :type :expr :at 1618767923138 :by |u0 :type :expr :at 1618539520156 :by |u0 |main! $ {} :data $ {} |yT $ {} :data $ {} |T $ {} (:text |try-method) (:type :leaf) (:at 1622292787836) (:by |u0) :type :expr :at 1622292783688 :by |u0 |yj $ {} :data $ {} |D $ {} (:text |;) (:type :leaf) (:at 1633873455342) (:by |u0) |T $ {} (:text |show-data) (:type :leaf) (:at 1633872991931) (:by |u0) :type :expr :at 1633872988484 :by |u0 |T $ {} (:text |defn) (:type :leaf) (:at 1619930570377) (:by |u0) |j $ {} (:text |main!) (:type :leaf) (:at 1619930570377) (:by |u0) |r $ {} :data $ {} :type :expr :at 1619930570377 :by |u0 |v $ {} :data $ {} |T $ {} (:text |demos) (:type :leaf) (:at 1619930577305) (:by |u0) :type :expr :at 1619930574797 :by |u0 |y $ {} :data $ {} |D $ {} (:text |;) (:type :leaf) (:at 1622292794753) (:by |u0) |T $ {} (:text |fib) (:type :leaf) (:at 1619930582609) (:by |u0) |j $ {} (:text |10) (:type :leaf) (:at 1619930582609) (:by |u0) :type :expr :at 1619930582609 :by |u0 :type :expr :at 1619930570377 :by |u0 |f1 $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1618658477086) (:by |u0) |j $ {} (:text |f1) (:type :leaf) (:at 1618658480301) (:by |u0) |r $ {} :data $ {} :type :expr :at 1618658477086 :by |u0 |v $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618658484688) (:by |u0) |j $ {} (:text "|\"calling f1") (:type :leaf) (:at 1618658487989) (:by |u0) :type :expr :at 1618658483325 :by |u0 :type :expr :at 1618658477086 :by |u0 |try-method $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1622292802864) (:by |u0) |j $ {} (:text |try-method) (:type :leaf) (:at 1622292801677) (:by |u0) |r $ {} :data $ {} :type :expr :at 1622292801677 :by |u0 |v $ {} :data $ {} |T $ {} (:text |println) (:type :leaf) (:at 1622292805545) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |.count) (:type :leaf) (:at 1622292806869) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |range) (:type :leaf) (:at 1622292811398) (:by |u0) |j $ {} (:text |11) (:type :leaf) (:at 1622292816464) (:by |u0) :type :expr :at 1622292809130 :by |u0 :type :expr :at 1622292805914 :by |u0 :type :expr :at 1622292803720 :by |u0 :type :expr :at 1622292801677 :by |u0 |call-3 $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1618767957921) (:by |u0) |j $ {} (:text |call-3) (:type :leaf) (:at 1618767957921) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |a) (:type :leaf) (:at 1618767960551) (:by |u0) |j $ {} (:text |b) (:type :leaf) (:at 1618767961787) (:by |u0) |r $ {} (:text |c) (:type :leaf) (:at 1618767962162) (:by |u0) :type :expr :at 1618767957921 :by |u0 |v $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618767963282) (:by |u0) |j $ {} (:text "|\"a is:") (:type :leaf) (:at 1618767965367) (:by |u0) |r $ {} (:text |a) (:type :leaf) (:at 1618767965784) (:by |u0) :type :expr :at 1618767962704 :by |u0 |x $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618767963282) (:by |u0) |j $ {} (:text "|\"b is:") (:type :leaf) (:at 1618767969236) (:by |u0) |r $ {} (:text |b) (:type :leaf) (:at 1618767970341) (:by |u0) :type :expr :at 1618767962704 :by |u0 |y $ {} :data $ {} |T $ {} (:text |echo) (:type :leaf) (:at 1618767963282) (:by |u0) |j $ {} (:text "|\"c is:") (:type :leaf) (:at 1618767977407) (:by |u0) |r $ {} (:text |c) (:type :leaf) (:at 1618767973639) (:by |u0) :type :expr :at 1618767962704 :by |u0 :type :expr :at 1618767957921 :by |u0 |rec-sum $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1618723127970) (:by |u0) |j $ {} (:text |rec-sum) (:type :leaf) (:at 1618723127970) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |acc) (:type :leaf) (:at 1618723129611) (:by |u0) |j $ {} (:text |xs) (:type :leaf) (:at 1618723131566) (:by |u0) :type :expr :at 1618723127970 :by |u0 |v $ {} :data $ {} |T $ {} (:text |if) (:type :leaf) (:at 1618723136188) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |empty?) (:type :leaf) (:at 1618723138019) (:by |u0) |j $ {} (:text |xs) (:type :leaf) (:at 1618723146569) (:by |u0) :type :expr :at 1618723136714 :by |u0 |r $ {} (:text |acc) (:type :leaf) (:at 1618723147576) (:by |u0) |v $ {} :data $ {} |T $ {} (:text |recur) (:type :leaf) (:at 1618723151992) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |&+) (:type :leaf) (:at 1618723158533) (:by |u0) |j $ {} (:text |acc) (:type :leaf) (:at 1618723159204) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |nth) (:type :leaf) (:at 1618723268153) (:by |u0) |j $ {} (:text |xs) (:type :leaf) (:at 1618723162178) (:by |u0) |r $ {} (:text |0) (:type :leaf) (:at 1618723268981) (:by |u0) :type :expr :at 1618723160405 :by |u0 :type :expr :at 1618723153359 :by |u0 |r $ {} :data $ {} |T $ {} (:text |rest) (:type :leaf) (:at 1618723165126) (:by |u0) |j $ {} (:text |xs) (:type :leaf) (:at 1618723165879) (:by |u0) :type :expr :at 1618723164698 :by |u0 :type :expr :at 1618723147929 :by |u0 :type :expr :at 1618723135708 :by |u0 :type :expr :at 1618723127970 :by |u0 |reload! $ {} :data $ {} |T $ {} (:text |defn) (:type :leaf) (:at 1619207810174) (:by |u0) |j $ {} (:text |reload!) (:type :leaf) (:at 1619207810174) (:by |u0) |r $ {} :data $ {} :type :expr :at 1619207810174 :by |u0 |v $ {} :data $ {} |T $ {} (:text |println) (:type :leaf) (:at 1619766027788) (:by |u0) |j $ {} (:text "|\"reloaded 2") (:type :leaf) (:at 1619766033570) (:by |u0) :type :expr :at 1619766026889 :by |u0 |x $ {} :data $ {} |D $ {} (:text |;) (:type :leaf) (:at 1622292791514) (:by |u0) |T $ {} (:text |fib) (:type :leaf) (:at 1619930544016) (:by |u0) |j $ {} (:text |40) (:type :leaf) (:at 1619935071727) (:by |u0) :type :expr :at 1619930543193 :by |u0 |y $ {} :data $ {} |T $ {} (:text |try-method) (:type :leaf) (:at 1622292800206) (:by |u0) :type :expr :at 1622292799913 :by |u0 :type :expr :at 1619207810174 :by |u0 :proc $ {} :data $ {} :type :expr :at 1618539507433 :by |u0 :configs $ {} :ns $ {} :data $ {} |T $ {} (:text |ns) (:type :leaf) (:at 1618539507433) (:by |u0) |j $ {} (:text |app.main) (:type :leaf) (:at 1618539507433) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |:require) (:type :leaf) (:at 1618661030826) (:by |u0) |j $ {} :data $ {} |T $ {} (:text |app.lib) (:type :leaf) (:at 1618661035015) (:by |u0) |j $ {} (:text |:as) (:type :leaf) (:at 1618661039398) (:by |u0) |r $ {} (:text |lib) (:type :leaf) (:at 1618661040510) (:by |u0) :type :expr :at 1618661031081 :by |u0 |r $ {} :data $ {} |T $ {} (:text |app.lib) (:type :leaf) (:at 1618661044709) (:by |u0) |j $ {} (:text |:refer) (:type :leaf) (:at 1618661045794) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |[]) (:type :leaf) (:at 1618661046210) (:by |u0) |j $ {} (:text |f3) (:type :leaf) (:at 1618661047074) (:by |u0) :type :expr :at 1618661046024 :by |u0 :type :expr :at 1618661042947 :by |u0 |v $ {} :data $ {} |T $ {} (:text |app.macro) (:type :leaf) (:at 1618720199292) (:by |u0) |j $ {} (:text |:refer) (:type :leaf) (:at 1618720200969) (:by |u0) |r $ {} :data $ {} |T $ {} (:text |[]) (:type :leaf) (:at 1618720201399) (:by |u0) |j $ {} (:text |add-num) (:type :leaf) (:at 1618720203059) (:by |u0) |r $ {} (:text |add-by-2) (:type :leaf) (:at 1618740371002) (:by |u0) :type :expr :at 1618720201238 :by |u0 :type :expr :at 1618720195824 :by |u0 :type :expr :at 1618661030124 :by |u0 :type :expr :at 1618539507433 :by |u0 :users $ {} |u0 $ {} (:avatar nil) (:name |chen) (:nickname |chen) (:id |u0) (:theme :star-trail) (:password |d41d8cd98f00b204e9800998ecf8427e)
Cirru
3
calcit-lang/calcit.rs
calcit/editor/calcit.cirru
[ "MIT" ]
{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Deep Learning Models -- A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks.\n", "- Author: Sebastian Raschka\n", "- GitHub Repository: https://github.com/rasbt/deeplearning-models" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sebastian Raschka \n", "\n", "CPython 3.7.3\n", "IPython 7.6.1\n", "\n", "torch 1.2.0\n" ] } ], "source": [ "%load_ext watermark\n", "%watermark -a 'Sebastian Raschka' -v -p torch" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- Runs on CPU or GPU (if available)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Basic Graph Neural Network with Edge Prediction on MNIST" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Implementing a very basic graph neural network (GNN) using a subnetwork for edge prediction. \n", "\n", "Here, the 28x28 image of a digit in MNIST represents the graph, where each pixel (i.e., cell in the grid) represents a particular node. The feature of that node is simply the pixel intensity in range [0, 1]. \n", "\n", "In the related notebook, [gnn-basic-1.ipyb], the adjacency matrix of the pixels was basically just determined by the neighborhood pixels. Using a Gaussian filter, pixels were connected based on their Euclidean distance in the grid. In **this notebook**, the edges are predicted via a seperate neural network model \n", "\n", "\n", "```python\n", " self.pred_edge_fc = nn.Sequential(nn.Linear(coord_features, 64),\n", " nn.ReLU(),\n", " nn.Linear(64, 1),\n", " nn.Tanh())\n", "```\n", "\n", "\n", "Using the resulting adjacency matrix $A$, we can compute the output of a layer as \n", "\n", "$$X^{(l+1)}=A X^{(l)} W^{(l)}.$$\n", "\n", "Here, $A$ is the $N \\times N$ adjacency matrix, and $X$ is the $N \\times C$ feature matrix (a 2D coordinate array, where $N$ is the total number of pixels -- $28 \\times 28 = 784$ in MNIST). $W$ is the weight matrix of shape $N \\times P$, where $P$ would represent the number of classes if we have only a single hidden layer.\n", "\n", "\n", "- Inspired by and based on Boris Knyazev's tutorial at https://medium.com/@BorisAKnyazev/tutorial-on-graph-neural-networks-for-computer-vision-and-beyond-part-1-3d9fada3b80d." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Imports" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import time\n", "import numpy as np\n", "from scipy.spatial.distance import cdist\n", "import torch\n", "import torch.nn as nn\n", "import torch.nn.functional as F\n", "from torchvision import datasets\n", "from torchvision import transforms\n", "from torch.utils.data import DataLoader\n", "from torch.utils.data.dataset import Subset\n", "\n", "\n", "if torch.cuda.is_available():\n", " torch.backends.cudnn.deterministic = True" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Settings and Dataset" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "##########################\n", "### SETTINGS\n", "##########################\n", "\n", "# Device\n", "DEVICE = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", "\n", "# Hyperparameters\n", "RANDOM_SEED = 1\n", "LEARNING_RATE = 0.0005\n", "NUM_EPOCHS = 50\n", "BATCH_SIZE = 128\n", "IMG_SIZE = 28\n", "\n", "# Architecture\n", "NUM_CLASSES = 10" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## MNIST Dataset" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Image batch dimensions: torch.Size([128, 1, 28, 28])\n", "Image label dimensions: torch.Size([128])\n" ] } ], "source": [ "train_indices = torch.arange(0, 59000)\n", "valid_indices = torch.arange(59000, 60000)\n", "\n", "custom_transform = transforms.Compose([transforms.ToTensor()])\n", "\n", "\n", "train_and_valid = datasets.MNIST(root='data', \n", " train=True, \n", " transform=custom_transform,\n", " download=True)\n", "\n", "test_dataset = datasets.MNIST(root='data', \n", " train=False, \n", " transform=custom_transform,\n", " download=True)\n", "\n", "train_dataset = Subset(train_and_valid, train_indices)\n", "valid_dataset = Subset(train_and_valid, valid_indices)\n", "\n", "train_loader = DataLoader(dataset=train_dataset, \n", " batch_size=BATCH_SIZE,\n", " num_workers=4,\n", " shuffle=True)\n", "\n", "valid_loader = DataLoader(dataset=valid_dataset, \n", " batch_size=BATCH_SIZE,\n", " num_workers=4,\n", " shuffle=False)\n", "\n", "test_loader = DataLoader(dataset=test_dataset, \n", " batch_size=BATCH_SIZE,\n", " num_workers=4,\n", " shuffle=False)\n", "\n", "# Checking the dataset\n", "for images, labels in train_loader: \n", " print('Image batch dimensions:', images.shape)\n", " print('Image label dimensions:', labels.shape)\n", " break" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "##########################\n", "### MODEL\n", "##########################\n", "\n", "\n", "def make_coordinate_array(img_size, out_size=4):\n", " \n", " ### Make 2D coordinate array (for MNIST: 784x2)\n", " n_rows = img_size * img_size\n", " col, row = np.meshgrid(np.arange(img_size), np.arange(img_size))\n", " coord = np.stack((col, row), axis=2).reshape(-1, 2)\n", " coord = (coord - np.mean(coord, axis=0)) / (np.std(coord, axis=0) + 1e-5)\n", " coord = torch.from_numpy(coord).float()\n", " \n", " ### Reshape to [N, N, out_size]\n", " coord = torch.cat((coord.unsqueeze(0).repeat(n_rows, 1, int(out_size/2-1)),\n", " coord.unsqueeze(1).repeat(1, n_rows, 1)), dim=2)\n", " \n", " \n", " return coord\n", "\n", " \n", "\n", "class GraphNet(nn.Module):\n", " def __init__(self, img_size=28, coord_features=4, num_classes=10):\n", " super(GraphNet, self).__init__()\n", " \n", " n_rows = img_size**2\n", " self.fc = nn.Linear(n_rows, num_classes, bias=False)\n", "\n", " coord = make_coordinate_array(img_size, coord_features)\n", " self.register_buffer('coord', coord)\n", " \n", " ##########\n", " # Edge Predictor\n", " self.pred_edge_fc = nn.Sequential(nn.Linear(coord_features, 32), # coord -> hidden\n", " nn.ReLU(),\n", " nn.Linear(32, 1), # hidden -> edge\n", " nn.Tanh())\n", " \n", "\n", " \n", "\n", " def forward(self, x):\n", " B = x.size(0)\n", " \n", " ### Predict edges\n", " self.A = self.pred_edge_fc(self.coord).squeeze()\n", "\n", " ### Reshape Adjacency Matrix\n", " # [N, N] Adj. matrix -> [1, N, N] Adj tensor where N = HxW\n", " A_tensor = self.A.unsqueeze(0)\n", " # [1, N, N] Adj tensor -> [B, N, N] tensor\n", " A_tensor = self.A.expand(B, -1, -1)\n", " \n", " ### Reshape inputs\n", " # [B, C, H, W] => [B, H*W, 1]\n", " x_reshape = x.view(B, -1, 1)\n", " \n", " # bmm = batch matrix product to sum the neighbor features\n", " # Input: [B, N, N] x [B, N, 1]\n", " # Output: [B, N]\n", " avg_neighbor_features = (torch.bmm(A_tensor, x_reshape).view(B, -1))\n", "\n", " logits = self.fc(avg_neighbor_features)\n", " probas = F.softmax(logits, dim=1)\n", " return logits, probas" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "torch.manual_seed(RANDOM_SEED)\n", "model = GraphNet(img_size=IMG_SIZE, num_classes=NUM_CLASSES)\n", "\n", "model = model.to(DEVICE)\n", "\n", "optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Training" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 001/050 | Batch 000/461 | Cost: 24.2727\n", "Epoch: 001/050 | Batch 150/461 | Cost: 2.2706\n", "Epoch: 001/050 | Batch 300/461 | Cost: 1.8713\n", "Epoch: 001/050 | Batch 450/461 | Cost: 1.5048\n", "Epoch: 001/050\n", "Train ACC: 50.39 | Validation ACC: 54.80\n", "Time elapsed: 0.25 min\n", "Epoch: 002/050 | Batch 000/461 | Cost: 1.4445\n", "Epoch: 002/050 | Batch 150/461 | Cost: 1.3288\n", "Epoch: 002/050 | Batch 300/461 | Cost: 1.1868\n", "Epoch: 002/050 | Batch 450/461 | Cost: 1.2040\n", "Epoch: 002/050\n", "Train ACC: 67.68 | Validation ACC: 71.40\n", "Time elapsed: 0.49 min\n", "Epoch: 003/050 | Batch 000/461 | Cost: 1.2128\n", "Epoch: 003/050 | Batch 150/461 | Cost: 0.9953\n", "Epoch: 003/050 | Batch 300/461 | Cost: 0.9818\n", "Epoch: 003/050 | Batch 450/461 | Cost: 1.0487\n", "Epoch: 003/050\n", "Train ACC: 68.09 | Validation ACC: 73.40\n", "Time elapsed: 0.74 min\n", "Epoch: 004/050 | Batch 000/461 | Cost: 1.0444\n", "Epoch: 004/050 | Batch 150/461 | Cost: 0.9064\n", "Epoch: 004/050 | Batch 300/461 | Cost: 0.9152\n", "Epoch: 004/050 | Batch 450/461 | Cost: 0.7396\n", "Epoch: 004/050\n", "Train ACC: 76.10 | Validation ACC: 80.20\n", "Time elapsed: 0.98 min\n", "Epoch: 005/050 | Batch 000/461 | Cost: 0.7698\n", "Epoch: 005/050 | Batch 150/461 | Cost: 0.8356\n", "Epoch: 005/050 | Batch 300/461 | Cost: 0.6544\n", "Epoch: 005/050 | Batch 450/461 | Cost: 0.8700\n", "Epoch: 005/050\n", "Train ACC: 80.30 | Validation ACC: 84.10\n", "Time elapsed: 1.22 min\n", "Epoch: 006/050 | Batch 000/461 | Cost: 0.6292\n", "Epoch: 006/050 | Batch 150/461 | Cost: 0.7779\n", "Epoch: 006/050 | Batch 300/461 | Cost: 0.5978\n", "Epoch: 006/050 | Batch 450/461 | Cost: 0.6260\n", "Epoch: 006/050\n", "Train ACC: 82.00 | Validation ACC: 85.60\n", "Time elapsed: 1.46 min\n", "Epoch: 007/050 | Batch 000/461 | Cost: 0.7172\n", "Epoch: 007/050 | Batch 150/461 | Cost: 0.6444\n", "Epoch: 007/050 | Batch 300/461 | Cost: 0.5620\n", "Epoch: 007/050 | Batch 450/461 | Cost: 0.5314\n", "Epoch: 007/050\n", "Train ACC: 82.90 | Validation ACC: 86.20\n", "Time elapsed: 1.71 min\n", "Epoch: 008/050 | Batch 000/461 | Cost: 0.6211\n", "Epoch: 008/050 | Batch 150/461 | Cost: 0.5004\n", "Epoch: 008/050 | Batch 300/461 | Cost: 0.5274\n", "Epoch: 008/050 | Batch 450/461 | Cost: 0.6611\n", "Epoch: 008/050\n", "Train ACC: 84.86 | Validation ACC: 87.90\n", "Time elapsed: 1.95 min\n", "Epoch: 009/050 | Batch 000/461 | Cost: 0.4017\n", "Epoch: 009/050 | Batch 150/461 | Cost: 0.7080\n", "Epoch: 009/050 | Batch 300/461 | Cost: 0.4298\n", "Epoch: 009/050 | Batch 450/461 | Cost: 0.4516\n", "Epoch: 009/050\n", "Train ACC: 85.89 | Validation ACC: 90.20\n", "Time elapsed: 2.19 min\n", "Epoch: 010/050 | Batch 000/461 | Cost: 0.4571\n", "Epoch: 010/050 | Batch 150/461 | Cost: 0.4976\n", "Epoch: 010/050 | Batch 300/461 | Cost: 0.6208\n", "Epoch: 010/050 | Batch 450/461 | Cost: 0.3780\n", "Epoch: 010/050\n", "Train ACC: 85.84 | Validation ACC: 89.40\n", "Time elapsed: 2.43 min\n", "Epoch: 011/050 | Batch 000/461 | Cost: 0.5262\n", "Epoch: 011/050 | Batch 150/461 | Cost: 0.4255\n", "Epoch: 011/050 | Batch 300/461 | Cost: 0.3840\n", "Epoch: 011/050 | Batch 450/461 | Cost: 0.4941\n", "Epoch: 011/050\n", "Train ACC: 85.73 | Validation ACC: 90.40\n", "Time elapsed: 2.68 min\n", "Epoch: 012/050 | Batch 000/461 | Cost: 0.3425\n", "Epoch: 012/050 | Batch 150/461 | Cost: 0.5059\n", "Epoch: 012/050 | Batch 300/461 | Cost: 0.6590\n", "Epoch: 012/050 | Batch 450/461 | Cost: 0.5481\n", "Epoch: 012/050\n", "Train ACC: 87.50 | Validation ACC: 91.30\n", "Time elapsed: 2.92 min\n", "Epoch: 013/050 | Batch 000/461 | Cost: 0.6081\n", "Epoch: 013/050 | Batch 150/461 | Cost: 0.4584\n", "Epoch: 013/050 | Batch 300/461 | Cost: 0.2856\n", "Epoch: 013/050 | Batch 450/461 | Cost: 0.4324\n", "Epoch: 013/050\n", "Train ACC: 87.35 | Validation ACC: 91.20\n", "Time elapsed: 3.17 min\n", "Epoch: 014/050 | Batch 000/461 | Cost: 0.4685\n", "Epoch: 014/050 | Batch 150/461 | Cost: 0.4492\n", "Epoch: 014/050 | Batch 300/461 | Cost: 0.3913\n", "Epoch: 014/050 | Batch 450/461 | Cost: 0.5154\n", "Epoch: 014/050\n", "Train ACC: 86.71 | Validation ACC: 91.20\n", "Time elapsed: 3.41 min\n", "Epoch: 015/050 | Batch 000/461 | Cost: 0.4526\n", "Epoch: 015/050 | Batch 150/461 | Cost: 0.4834\n", "Epoch: 015/050 | Batch 300/461 | Cost: 0.5208\n", "Epoch: 015/050 | Batch 450/461 | Cost: 0.3536\n", "Epoch: 015/050\n", "Train ACC: 85.21 | Validation ACC: 89.50\n", "Time elapsed: 3.66 min\n", "Epoch: 016/050 | Batch 000/461 | Cost: 0.6614\n", "Epoch: 016/050 | Batch 150/461 | Cost: 0.3036\n", "Epoch: 016/050 | Batch 300/461 | Cost: 0.3766\n", "Epoch: 016/050 | Batch 450/461 | Cost: 0.4550\n", "Epoch: 016/050\n", "Train ACC: 86.97 | Validation ACC: 92.10\n", "Time elapsed: 3.91 min\n", "Epoch: 017/050 | Batch 000/461 | Cost: 0.6241\n", "Epoch: 017/050 | Batch 150/461 | Cost: 0.3934\n", "Epoch: 017/050 | Batch 300/461 | Cost: 0.4330\n", "Epoch: 017/050 | Batch 450/461 | Cost: 0.5914\n", "Epoch: 017/050\n", "Train ACC: 88.12 | Validation ACC: 91.60\n", "Time elapsed: 4.15 min\n", "Epoch: 018/050 | Batch 000/461 | Cost: 0.3769\n", "Epoch: 018/050 | Batch 150/461 | Cost: 0.4817\n", "Epoch: 018/050 | Batch 300/461 | Cost: 0.4103\n", "Epoch: 018/050 | Batch 450/461 | Cost: 0.3727\n", "Epoch: 018/050\n", "Train ACC: 86.58 | Validation ACC: 90.90\n", "Time elapsed: 4.40 min\n", "Epoch: 019/050 | Batch 000/461 | Cost: 0.4098\n", "Epoch: 019/050 | Batch 150/461 | Cost: 0.4435\n", "Epoch: 019/050 | Batch 300/461 | Cost: 0.2952\n", "Epoch: 019/050 | Batch 450/461 | Cost: 0.3328\n", "Epoch: 019/050\n", "Train ACC: 88.65 | Validation ACC: 92.00\n", "Time elapsed: 4.64 min\n", "Epoch: 020/050 | Batch 000/461 | Cost: 0.5363\n", "Epoch: 020/050 | Batch 150/461 | Cost: 0.3143\n", "Epoch: 020/050 | Batch 300/461 | Cost: 0.5186\n", "Epoch: 020/050 | Batch 450/461 | Cost: 0.3806\n", "Epoch: 020/050\n", "Train ACC: 88.95 | Validation ACC: 92.70\n", "Time elapsed: 4.89 min\n", "Epoch: 021/050 | Batch 000/461 | Cost: 0.3810\n", "Epoch: 021/050 | Batch 150/461 | Cost: 0.2470\n", "Epoch: 021/050 | Batch 300/461 | Cost: 0.6154\n", "Epoch: 021/050 | Batch 450/461 | Cost: 0.3651\n", "Epoch: 021/050\n", "Train ACC: 88.31 | Validation ACC: 92.40\n", "Time elapsed: 5.13 min\n", "Epoch: 022/050 | Batch 000/461 | Cost: 0.3704\n", "Epoch: 022/050 | Batch 150/461 | Cost: 0.4338\n", "Epoch: 022/050 | Batch 300/461 | Cost: 0.4197\n", "Epoch: 022/050 | Batch 450/461 | Cost: 0.3304\n", "Epoch: 022/050\n", "Train ACC: 88.62 | Validation ACC: 91.90\n", "Time elapsed: 5.31 min\n", "Epoch: 023/050 | Batch 000/461 | Cost: 0.2825\n", "Epoch: 023/050 | Batch 150/461 | Cost: 0.4302\n", "Epoch: 023/050 | Batch 300/461 | Cost: 0.4738\n", "Epoch: 023/050 | Batch 450/461 | Cost: 0.4362\n", "Epoch: 023/050\n", "Train ACC: 89.02 | Validation ACC: 92.80\n", "Time elapsed: 5.44 min\n", "Epoch: 024/050 | Batch 000/461 | Cost: 0.2097\n", "Epoch: 024/050 | Batch 150/461 | Cost: 0.4440\n", "Epoch: 024/050 | Batch 300/461 | Cost: 0.4467\n", "Epoch: 024/050 | Batch 450/461 | Cost: 0.2744\n", "Epoch: 024/050\n", "Train ACC: 88.82 | Validation ACC: 92.40\n", "Time elapsed: 5.57 min\n", "Epoch: 025/050 | Batch 000/461 | Cost: 0.2734\n", "Epoch: 025/050 | Batch 150/461 | Cost: 0.3980\n", "Epoch: 025/050 | Batch 300/461 | Cost: 0.4395\n", "Epoch: 025/050 | Batch 450/461 | Cost: 0.2336\n", "Epoch: 025/050\n", "Train ACC: 89.59 | Validation ACC: 93.90\n", "Time elapsed: 5.70 min\n", "Epoch: 026/050 | Batch 000/461 | Cost: 0.3138\n", "Epoch: 026/050 | Batch 150/461 | Cost: 0.3772\n", "Epoch: 026/050 | Batch 300/461 | Cost: 0.2955\n", "Epoch: 026/050 | Batch 450/461 | Cost: 0.3747\n", "Epoch: 026/050\n", "Train ACC: 88.71 | Validation ACC: 92.70\n", "Time elapsed: 5.82 min\n", "Epoch: 027/050 | Batch 000/461 | Cost: 0.4107\n", "Epoch: 027/050 | Batch 150/461 | Cost: 0.4375\n", "Epoch: 027/050 | Batch 300/461 | Cost: 0.3802\n", "Epoch: 027/050 | Batch 450/461 | Cost: 0.3240\n", "Epoch: 027/050\n", "Train ACC: 87.90 | Validation ACC: 91.60\n", "Time elapsed: 5.95 min\n", "Epoch: 028/050 | Batch 000/461 | Cost: 0.5124\n", "Epoch: 028/050 | Batch 150/461 | Cost: 0.4980\n", "Epoch: 028/050 | Batch 300/461 | Cost: 0.3937\n", "Epoch: 028/050 | Batch 450/461 | Cost: 0.2704\n", "Epoch: 028/050\n", "Train ACC: 89.08 | Validation ACC: 92.30\n", "Time elapsed: 6.08 min\n", "Epoch: 029/050 | Batch 000/461 | Cost: 0.3328\n", "Epoch: 029/050 | Batch 150/461 | Cost: 0.3022\n", "Epoch: 029/050 | Batch 300/461 | Cost: 0.3222\n", "Epoch: 029/050 | Batch 450/461 | Cost: 0.3084\n", "Epoch: 029/050\n", "Train ACC: 89.30 | Validation ACC: 93.90\n", "Time elapsed: 6.21 min\n", "Epoch: 030/050 | Batch 000/461 | Cost: 0.4667\n", "Epoch: 030/050 | Batch 150/461 | Cost: 0.3290\n", "Epoch: 030/050 | Batch 300/461 | Cost: 0.3261\n", "Epoch: 030/050 | Batch 450/461 | Cost: 0.3347\n", "Epoch: 030/050\n", "Train ACC: 89.17 | Validation ACC: 93.60\n", "Time elapsed: 6.33 min\n", "Epoch: 031/050 | Batch 000/461 | Cost: 0.3486\n", "Epoch: 031/050 | Batch 150/461 | Cost: 0.2426\n", "Epoch: 031/050 | Batch 300/461 | Cost: 0.2748\n", "Epoch: 031/050 | Batch 450/461 | Cost: 0.2072\n", "Epoch: 031/050\n", "Train ACC: 89.17 | Validation ACC: 93.20\n", "Time elapsed: 6.46 min\n", "Epoch: 032/050 | Batch 000/461 | Cost: 0.3423\n", "Epoch: 032/050 | Batch 150/461 | Cost: 0.4924\n", "Epoch: 032/050 | Batch 300/461 | Cost: 0.4072\n", "Epoch: 032/050 | Batch 450/461 | Cost: 0.3611\n", "Epoch: 032/050\n", "Train ACC: 89.83 | Validation ACC: 94.30\n", "Time elapsed: 6.59 min\n", "Epoch: 033/050 | Batch 000/461 | Cost: 0.2461\n", "Epoch: 033/050 | Batch 150/461 | Cost: 0.2343\n", "Epoch: 033/050 | Batch 300/461 | Cost: 0.2891\n", "Epoch: 033/050 | Batch 450/461 | Cost: 0.3772\n", "Epoch: 033/050\n", "Train ACC: 88.81 | Validation ACC: 92.40\n", "Time elapsed: 6.72 min\n", "Epoch: 034/050 | Batch 000/461 | Cost: 0.3052\n", "Epoch: 034/050 | Batch 150/461 | Cost: 0.5129\n", "Epoch: 034/050 | Batch 300/461 | Cost: 0.3810\n", "Epoch: 034/050 | Batch 450/461 | Cost: 0.2906\n", "Epoch: 034/050\n", "Train ACC: 89.34 | Validation ACC: 93.10\n", "Time elapsed: 6.85 min\n", "Epoch: 035/050 | Batch 000/461 | Cost: 0.3604\n", "Epoch: 035/050 | Batch 150/461 | Cost: 0.3832\n", "Epoch: 035/050 | Batch 300/461 | Cost: 0.3632\n", "Epoch: 035/050 | Batch 450/461 | Cost: 0.3345\n", "Epoch: 035/050\n", "Train ACC: 89.74 | Validation ACC: 93.10\n", "Time elapsed: 6.98 min\n", "Epoch: 036/050 | Batch 000/461 | Cost: 0.3382\n", "Epoch: 036/050 | Batch 150/461 | Cost: 0.3754\n", "Epoch: 036/050 | Batch 300/461 | Cost: 0.4120\n", "Epoch: 036/050 | Batch 450/461 | Cost: 0.4710\n", "Epoch: 036/050\n", "Train ACC: 89.10 | Validation ACC: 93.90\n", "Time elapsed: 7.10 min\n", "Epoch: 037/050 | Batch 000/461 | Cost: 0.4466\n", "Epoch: 037/050 | Batch 150/461 | Cost: 0.3427\n", "Epoch: 037/050 | Batch 300/461 | Cost: 0.3301\n", "Epoch: 037/050 | Batch 450/461 | Cost: 0.4110\n", "Epoch: 037/050\n", "Train ACC: 89.95 | Validation ACC: 93.90\n", "Time elapsed: 7.23 min\n", "Epoch: 038/050 | Batch 000/461 | Cost: 0.2470\n", "Epoch: 038/050 | Batch 150/461 | Cost: 0.4719\n", "Epoch: 038/050 | Batch 300/461 | Cost: 0.3253\n", "Epoch: 038/050 | Batch 450/461 | Cost: 0.4324\n", "Epoch: 038/050\n", "Train ACC: 89.35 | Validation ACC: 93.50\n", "Time elapsed: 7.36 min\n", "Epoch: 039/050 | Batch 000/461 | Cost: 0.3058\n", "Epoch: 039/050 | Batch 150/461 | Cost: 0.4755\n", "Epoch: 039/050 | Batch 300/461 | Cost: 0.2981\n", "Epoch: 039/050 | Batch 450/461 | Cost: 0.4293\n", "Epoch: 039/050\n", "Train ACC: 89.51 | Validation ACC: 92.90\n", "Time elapsed: 7.48 min\n", "Epoch: 040/050 | Batch 000/461 | Cost: 0.3378\n", "Epoch: 040/050 | Batch 150/461 | Cost: 0.5137\n", "Epoch: 040/050 | Batch 300/461 | Cost: 0.2680\n", "Epoch: 040/050 | Batch 450/461 | Cost: 0.3397\n", "Epoch: 040/050\n", "Train ACC: 90.01 | Validation ACC: 93.70\n", "Time elapsed: 7.61 min\n", "Epoch: 041/050 | Batch 000/461 | Cost: 0.2766\n", "Epoch: 041/050 | Batch 150/461 | Cost: 0.2959\n", "Epoch: 041/050 | Batch 300/461 | Cost: 0.1930\n", "Epoch: 041/050 | Batch 450/461 | Cost: 0.3735\n", "Epoch: 041/050\n", "Train ACC: 89.45 | Validation ACC: 93.60\n", "Time elapsed: 7.74 min\n", "Epoch: 042/050 | Batch 000/461 | Cost: 0.2694\n", "Epoch: 042/050 | Batch 150/461 | Cost: 0.3575\n", "Epoch: 042/050 | Batch 300/461 | Cost: 0.4267\n", "Epoch: 042/050 | Batch 450/461 | Cost: 0.3332\n", "Epoch: 042/050\n", "Train ACC: 89.96 | Validation ACC: 93.30\n", "Time elapsed: 7.86 min\n", "Epoch: 043/050 | Batch 000/461 | Cost: 0.2288\n", "Epoch: 043/050 | Batch 150/461 | Cost: 0.4260\n", "Epoch: 043/050 | Batch 300/461 | Cost: 0.2835\n", "Epoch: 043/050 | Batch 450/461 | Cost: 0.2882\n", "Epoch: 043/050\n", "Train ACC: 89.91 | Validation ACC: 93.40\n", "Time elapsed: 7.99 min\n", "Epoch: 044/050 | Batch 000/461 | Cost: 0.3211\n", "Epoch: 044/050 | Batch 150/461 | Cost: 0.3061\n", "Epoch: 044/050 | Batch 300/461 | Cost: 0.3137\n", "Epoch: 044/050 | Batch 450/461 | Cost: 0.2978\n", "Epoch: 044/050\n", "Train ACC: 89.63 | Validation ACC: 94.30\n", "Time elapsed: 8.12 min\n", "Epoch: 045/050 | Batch 000/461 | Cost: 0.2325\n", "Epoch: 045/050 | Batch 150/461 | Cost: 0.3013\n", "Epoch: 045/050 | Batch 300/461 | Cost: 0.3732\n", "Epoch: 045/050 | Batch 450/461 | Cost: 0.3229\n", "Epoch: 045/050\n", "Train ACC: 90.00 | Validation ACC: 93.80\n", "Time elapsed: 8.25 min\n", "Epoch: 046/050 | Batch 000/461 | Cost: 0.2521\n", "Epoch: 046/050 | Batch 150/461 | Cost: 0.4440\n", "Epoch: 046/050 | Batch 300/461 | Cost: 0.3420\n", "Epoch: 046/050 | Batch 450/461 | Cost: 0.4288\n", "Epoch: 046/050\n", "Train ACC: 89.97 | Validation ACC: 93.40\n", "Time elapsed: 8.38 min\n", "Epoch: 047/050 | Batch 000/461 | Cost: 0.4605\n", "Epoch: 047/050 | Batch 150/461 | Cost: 0.3261\n", "Epoch: 047/050 | Batch 300/461 | Cost: 0.4493\n", "Epoch: 047/050 | Batch 450/461 | Cost: 0.4902\n", "Epoch: 047/050\n", "Train ACC: 89.60 | Validation ACC: 93.70\n", "Time elapsed: 8.50 min\n", "Epoch: 048/050 | Batch 000/461 | Cost: 0.4136\n", "Epoch: 048/050 | Batch 150/461 | Cost: 0.2952\n", "Epoch: 048/050 | Batch 300/461 | Cost: 0.4784\n", "Epoch: 048/050 | Batch 450/461 | Cost: 0.3044\n", "Epoch: 048/050\n", "Train ACC: 90.15 | Validation ACC: 94.60\n", "Time elapsed: 8.63 min\n", "Epoch: 049/050 | Batch 000/461 | Cost: 0.3802\n", "Epoch: 049/050 | Batch 150/461 | Cost: 0.4018\n", "Epoch: 049/050 | Batch 300/461 | Cost: 0.3197\n", "Epoch: 049/050 | Batch 450/461 | Cost: 0.4157\n", "Epoch: 049/050\n", "Train ACC: 89.91 | Validation ACC: 93.70\n", "Time elapsed: 8.76 min\n", "Epoch: 050/050 | Batch 000/461 | Cost: 0.4057\n", "Epoch: 050/050 | Batch 150/461 | Cost: 0.3687\n", "Epoch: 050/050 | Batch 300/461 | Cost: 0.3552\n", "Epoch: 050/050 | Batch 450/461 | Cost: 0.2707\n", "Epoch: 050/050\n", "Train ACC: 89.91 | Validation ACC: 93.00\n", "Time elapsed: 8.88 min\n", "Total Training Time: 8.88 min\n" ] } ], "source": [ "def compute_acc(model, data_loader, device):\n", " correct_pred, num_examples = 0, 0\n", " for features, targets in data_loader:\n", " features = features.to(device)\n", " targets = targets.to(device)\n", " logits, probas = model(features)\n", " _, predicted_labels = torch.max(probas, 1)\n", " num_examples += targets.size(0)\n", " correct_pred += (predicted_labels == targets).sum()\n", " return correct_pred.float()/num_examples * 100\n", " \n", "\n", "start_time = time.time()\n", "\n", "cost_list = []\n", "train_acc_list, valid_acc_list = [], []\n", "\n", "\n", "for epoch in range(NUM_EPOCHS):\n", " \n", " model.train()\n", " for batch_idx, (features, targets) in enumerate(train_loader):\n", " \n", " features = features.to(DEVICE)\n", " targets = targets.to(DEVICE)\n", " \n", " ### FORWARD AND BACK PROP\n", " logits, probas = model(features)\n", " cost = F.cross_entropy(logits, targets)\n", " optimizer.zero_grad()\n", " \n", " cost.backward()\n", " \n", " ### UPDATE MODEL PARAMETERS\n", " optimizer.step()\n", " \n", " #################################################\n", " ### CODE ONLY FOR LOGGING BEYOND THIS POINT\n", " ################################################\n", " cost_list.append(cost.item())\n", " if not batch_idx % 150:\n", " print (f'Epoch: {epoch+1:03d}/{NUM_EPOCHS:03d} | '\n", " f'Batch {batch_idx:03d}/{len(train_loader):03d} |' \n", " f' Cost: {cost:.4f}')\n", "\n", " \n", "\n", " model.eval()\n", " with torch.set_grad_enabled(False): # save memory during inference\n", " \n", " train_acc = compute_acc(model, train_loader, device=DEVICE)\n", " valid_acc = compute_acc(model, valid_loader, device=DEVICE)\n", " \n", " print(f'Epoch: {epoch+1:03d}/{NUM_EPOCHS:03d}\\n'\n", " f'Train ACC: {train_acc:.2f} | Validation ACC: {valid_acc:.2f}')\n", " \n", " train_acc_list.append(train_acc)\n", " valid_acc_list.append(valid_acc)\n", " \n", " elapsed = (time.time() - start_time)/60\n", " print(f'Time elapsed: {elapsed:.2f} min')\n", " \n", "elapsed = (time.time() - start_time)/60\n", "print(f'Total Training Time: {elapsed:.2f} min')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Evaluation" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQEAAAD8CAYAAAB3lxGOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOy9TawtWZbf9Vtr74g45973kZ+VVf0BzcAgSwyQLOEJAySEBAjJIxBmAhaSJ1ieYiEhph5YSEggCw8s8MSGGQwsMUBCjEC2LISEm6a7wXR1dXdVVla+fO/de86J2HstBmvtiPuyK7vduKudqF9IL/Peu0/Eia+99tr//3/9t7g777f32/vtj++m/7hP4P32fnu//ePd3geB99v77Y/59j4IvN/eb3/Mt/dB4P32fvtjvr0PAu+399sf8+19EHi/vd/+mG8/kyAgIv+KiPyKiPyaiPyln8V3vN/eb++3P5xN/rB1AiJSgP8T+JeB3wT+DvBn3f3v/6F+0fvt/fZ++0PZfhaZwD8P/Jq7/1/uvgJ/C/gzP4Pveb+9395vfwhb/Rkc8+eB7z/5/TeBP/31D4nInwf+PECR6U/dnz7BBVABJ/4xshQBOX7ka01jc4lfxB3y53fyHP3aH54cyxXka0mRj3P52veM312+dh5P9h/H8zz18dnxN+Tdn11A7N1jS57XcdCvtVu2j+vyJ/sIYMfP4sf+rqAt/u/lOLY8aZeWbTr+mPdC4m+yydHu4wKJgwjQBIrHuRnHBeX10iX2zfPc76GArIJXP4aop/dYHFaF6vndT85rXEBTqHacd55XvhJ4UyTbRyIs6nEqa4HiaIl2M0HU0dy/rQUpTlHD8tjRFu3rVijFKOLvtI/P3FqlqKHZLpLtxD7XXinqCI67ILmv4lzaRFGjqu1tQpx3VeOxTVQ1NG9YtMc2S+MHf//1j939U762/SyCwNe7C3ytLwK4+18D/hrAixe/4P/cv/AX6Uv0GGkg5tTHjnRne1axWbCa7Qa6OtNDoy+FdlZc2du1Obo5ujrtXrEie7uYU7b4jCu0k+Aq8S5l59AWp9tOcnSSvCrd2D/bz+Otin/afQ8oNo/vzHffct/seH0B6WBT7CsWv6PQ5/iMdLDZERPIdi/xN5ugXoR+8r3TSgev8Z12MqbXSjv7fizpgk+OT87dbxS2F876YY/LM0FWwU4GJ+Pu12ZuHxn9RQeLjiZN8JNR7hrzL5+5frfj52zf8l6cjHJqlP/7zPpJQ04d3xQ2jWd3btS5Y795R/9wQ2bDryWCQnVkMpZ/sHD7uMOLuNl+07jpS0eKU3+w0J4b+uFKv5Y4djVkMqQ48sOF/qKjp4bd4tiyGFKi3X90wj9awfLY+b1aDfn+mfayo/cbboJfKnLqlLlTaqd9/57+0UZdOr0pmFBPG9PUqcV4/aNnTC9uiEBvBRHnfHdjqZ25Nn74xUvOdzd6V9yFUoxnpxun2lhK4wdfveT5+crDbaaqMdfO/bzyfLrxf/zwO9yfb7w43Xh9XbifN6bSmbTzvbvX/G+ff48Pzlcm7VzbxIvlCsCsjZ87f8V//qf+5v/z0zrszyII/Cbwi09+/wXgt36vHazA5ZOC1eiMZfN84ePl254p673sI4NuUFbHa6VPwnan9FOOYBYva706ZfW9rc+ZJXShbE59jOO3M/Tl6OzSoKxQrtDuBJuyo+ama363CNt9nn8F7YALZY2/9TmDwcSTwHaM3v0UAafdxbVqk7hmBZuik5dbHEcsPsOSQaA6tjjSdb9mBGyJAOGT46eOPWgEoBbn5NWx2WBy+rnEvpvuo/kYfaUYfYnroR9ZmJcjlvsY4dsYafM6i8XHjehk2VHi5jlanVIN78CmcczRLo5U2wPWGJWPtEjQ2uN6DPqtgEkEtxLpUSkd73HetpUMYIKbgAq1dJqR55XX2DLrKxLJhIG1DFwGvip9ZEQWx+5rieAFbF2wU2crHbkp7RovjF8LqPNgwrY0aq30S+HCgltkHTp3WlPOy8YyNa7XCTNhXStuwrw0blvlulTW64QImCmP15nLbeY0b8y10115vC6oQFHjsk48rDNLbZynjdW+uav/LILA3wH+hIj8U8APgH8L+Ld/rx2sCg/fi5EiRjWhPoJNMZpuz4T1+ZPUtsPyCrZzweZob2eOIHGD+XWM+q7C7SPo8zEi1kdheiv7qLk9A1scl+jk9VGiAy4xsrZ7x2q8BOUq1McITu3ekS60Z7an57oJ5SrY5JSb0M8eHXMEqC6UK2zPnfkrxWo8hX7O9NUiFbbFkF4y5Y7Ovd+vs+NLxx+OuYIXcPXMUmJki+ATL7YDfnLEBRejnxwrkU24CF7iPEdq3Zf4vvpViaBSiACSaW27c8pV8VX2IOlLfqcaPoFeFG9xbNkUv+tIpuwC6E0xIgvBgbNTao972UDWCBLS4j3Qu8Y09dinCb4q0gU6EawWp06dbbSrIKvm/RFkcmrtdCemFOTUY4r9fUypngQv2RRXw1ueiwFNcSyyM4v7Z5vG/hbnRZ43CKaFmwlbqdCU/hhBTW4FW5Vb0+jg6thj5VJqXI8J10tlPVfePJzwh8q1KetUI0Cqc9WZ6dT46uHM7WFm2wqqhvXCAzElWE4bRcec63dvf+hBwN2biPwF4L8HCvDX3f1//z33qbC+jNFvPPTpQeinGCG250dH9OroJnjRfaRsz5y+5AhYnfKg2BQviHZYPzDs5DHqqNO/qtgSHVVXYXth2F2PeWYX+lcV3SIwlKvQ7i3S3uL0VemvI8e3szN9qXHs7CB2K5FZzI58UcCzg2d/lU2wSbCzYQ9xfu0c+0sXZMsRN+f62qCf49poktORY24tDfrJd1xAeg6c2fN1tMsxnUAiKGqTmPvPcW66CZYZkS1xb3QDRzB3RDSyhSft5Rqf6SeHTWIUJo+/CfooEUyL411wP9qlQb2VPQB5F9yU7UW8sLIK4oIY9LuYI5sJ/RTBVJqgtwgg/WQxr8/rlk3wGu2uGQCLU0re5x7BqVyVjsVnM4iOfYEI5Cg+2Y45SBecGLT0JphkRqNxruMexI0iMh4XbO4RnOB4H5rg14Krw6lHZuXHvtIUa1PgMC2+17ocGZgJ29sJr4Y0pV8LvcR7PLb2eob5jzAIALj73wb+9j/05zU6si0W6V8XvGpgBJ6j8bMOk0M1+qbcJB6QS86Rn3VkNrQYvVS8jFE50ms/d8rSQZxucXwiAwRAFkMnww26CbZGR9ZMKaU6Ugwzwe4sOuK541/N0MmR12MEmYiXhhLptQm+dFDHLQIDk4GXI9OtGaR6iY5WDazglbgHk0GJTrK/QE78LIEByCb7/H20e8l/syPZYeL+Zqct0UGtgq4CFun5ACQjw8gMrRPzZD/a44viZUai3Uwj2Gxx7mWNrM6MSINNMisTdM1pn0Dv0cn9FO+ArhEkscBYsEjr7WQR4G6CbJHp9GzrXbHlCATSA08Z6Oy21cjqmsS0xeM96Xdx07xmNrTvE9PP/gQ0pckeEDBBbuDzgQ9FdhC/agZGexbYCz3AQCe+Q7YIZnFNGZzGbc2ph27Zbjll9Lh3A1SVHtkIncj0MkMJADaejX1zDPjZBIE/6OYKdtcp9w1Vo3elL4WeKZteFRZjfrZGKtoKfTIs57PyEJcxnbdoLzH3bSbID6f9ZtWpRUS+a5EpTIZfl32UKueOdcWWjhdFTw1/HfNSd6hTjw6QKXOZLV6KAoijk9GbxfyyeqTnGuk5gFbDppzH5/zai+dcPEZrXyx+Lo44WMksQOOfzxJtJV5Wq+ztETBiX8959mj34jDnuUi8nGIJImansRlQ8BadTzwwDVssXsQa99FylBnt/WyUS6bDfcy/Yw5vcwTh+hgvuDWNkarETbR8POUq9PvoMF4T1ZbIQtSgXJR2VprG9AQDngQJfVSsFDb17DBQHjUymQL2UPbB0e6O9sBhBHks9Or4nUX24QGUimX2tCo2K5xt73jSJDKtQgSGKbGlPgJcfMaXCLhMed+2GMm1JfZRY1rpnthQO3AY2WTPAsRBbrKzVl4i08MEKREs4u/5/8x0xSTA2W/YvhVBYKedxJnmRjHFpk6bS8yT1gWIUaZMxjR1SolgUWtnTQAGQARq7SQWhssUHUDAPVK+OnW6JEA1KDaNjq7FKLNg6pSpYxqdWQTcNDqyg6hTp0bLubjkSKNzx5qik4FM0emy07sLMne8Kzr36HDKEQRcYM60tgbOYPUA7OiCT4bMfZ8O7EEkf6dmABn4QB3tEZAYASVH+73dcuDLezUAzNFu+3MKUE0924tDiY4OgAWgJ3ZQiD45fYlR2zfFNDuxODaTzKGgF8Xqu9yqzQ4SI6BcNYNY/M01sIv6GB3Ax/6aUVqio8iWU51Lie/OACRNKGuM6l6incUiiDWhXDOISHbmS8mUXZFNKJlZ7dOLa+wvq+xB4KkSx1dF1PcAoJvsFDEQ1CaRcZHTIGCfoo3P6jqyLn8n6xh4mq7xOZMnGcPvsX0rgsDpx51/5q9e8KlgywzdEXP0FlC7TxbgVVVsroGWb4Z0x+cKxOfaaQYRdDPEcu6acL0XwebTjrT7eKGlI+70uYJUdPMdgOzzDB43us8T2vJ2SYyKfT4lnahYXdAtg40IfY4obbMABSsF3chzAZtmyuq0syKm2FTj4ZGjb4001ObAP1zid3Ho8xTswQrtLPglOsFgIPrJ6fMU06UC5UHj5cjv7wucPxfWF06/8z0lLbfABOxOmF4r23MPrCSzCsl5qFeYXym3jzp+F52CkqO/RAAqF6F90JFzw68lgPjJ9yzGXegvg8brD1Pkx3NQePNvTdy+07GXccLtVuK4c/Dr+sWJ9kGjfO9Cu1VuW2R1Ug1Vx15P8OEKL4y2lhg8lh4cejHWz++oH1/gpbA2pVRjyYHl4fvP4eXGs08v9O8o21qZ58Yyxb/f+Y2PWD668Pzuxq1F7zxNjbl0ztPGP/jhx7x4/sj9vPGwThR17ueVpTTu6sqvfvEpL89XztPGrVWm0jnXjVPZeD7d+NVXn/LR+RFzwVw4lY25dJ7XG//r5z/PR+dHPj2/5dors3aqdiYxPlne8vd+8ot8enrL8+nKapX7fPerdr43f8V/+A3971sRBKwql+/dHzqBDmLO9LYmsKa0k4YOgOgIZTXq244tR9tgQbQXys0pN2N7ViLlLTkyeVCQ9er0SQLE04i2I73S1BFs95l6yYjC0ZEkpm+0e9lHrBDbCNI8A0iMAlbZr2nXGAydgEW6PAA8m6LdpuhoMRf2nfYc83ubYgT1awCjEGChTMd12J0hpjnKATg9NQZeHfuy7niAeKTg3cHOFqOZlUPMox4IusZ0pZx7jFbJXFDtEN0sRpl7pOlj/+I7vahzj0xsFfr9E/CCnCir75oFzvAOTWkxzZIOsmlgDwmSxXNKYU+DvioujrfYP55/jrSb0Na66wSsOn3WAA6vSpsrD3rCu+I3ZZsrtyWCRHlbuM0zrZVA6IHr0pjmxuuy0N5OvNETbx9Pu07gcp44zxtf6YnHhwV34Us/YxaZ7HneuJ9XvlrPfPlwpplyWSdUnGUKiu9xnnn9cKKbsFrhYZ051bbrBG5W+eLhjmbKq3rm0iaezzcATmXj0p/w3F/bvhVBwKukTgAG4l3WHFVV2M7C9uwAo3SDeo2OHzoBoZ/loOlapoin6OTbfXQ2z85Y1qAlLTtjX7Iz5mirK9RLjrL14PyP746f2138P7h8MsBEoGinaLMlpwtdsjOPfZN5uBuIc8wHPVN8m6Fccs5sRJrPEQR8caTpTnuiMTf1KbUA546/mff00WVgB8AUFF+g27qni7tWQp1+znNedQ9yA9twj3PYUfQBaI1zzP8EvfYEqa6GKKFkS9Tchg4gQU6ttvP3fhs6AfZzDHSfd3UCCQqS4puegJqtT3QCPThanY3uxBw522hgqkGj5XM8dAIS6H41DGUAq/ZUJ5BgqKohq7Jdgu7zhwqT89iFbSnUatilcsn33m4FXTrrGjqAqXRu1zkwsVZwF27Lxm2qPKwz27Vy0ciiruvEgxrL1Jhr53GbebzOiDgPOtO68rDOFDXupo3X6+kb+9+3IghYgcfP5NABGNQHoc8x+rU7YX3B0d5g+UrY1phrtjvoZw4u/yLMrwFiLnn9JOaOnu/z9FpSQBQj8O3DHFlLvNjTmwg6MVoHpx9z0wSwHpKVWIIGW1/ajiqXqyYjEefRZ6fd+54+iOUxzr5LfMexwXe5rp0MaSXmdpMfQagFa+EJXu5CoSHkGdPhxCJ0KPmUfbQec3HXCEQjO2Hy6MDikWGIU9/qLmBiApfALNo5RtR6rQEsxu0OgFScfnL0KvitBtDXJc4xUXVXIsCkGhLAl5DQ2pyjeQueHgOfiHS/pCajCb5lkMqOKSeLIAARINWQa7ApXgSZnVqNzdkpNr1oAIkD7IRDJ0BqGU4WOMe5Beo+dAIQOgMRumhkS4MSzHeRTTAp3JqyTfE9dqmRJa2Kbco6F9bHKfCmx0qvZb+my9vK9dT3oHJtym2adhryEShLR9XYLhPbWinFMDsopIGhfdP2rQgCXlIHMA9wIzIAT7lvu4PtmSdIlcAIOYedY9++hM6A6oHiJg9TttjXFouRUMClBGWV6Gm780CMB78qZefXy2NKc+9CJ2AnxTV4XTs50ysN9H0JirCXyDJ8cTTTxaD3csRbJQLWyfA3JWm8AM9kjFrTSMOJDjDnKN7BB3UFu8y5LymEcg5qa4BBOaXYKb584jYl4mzJCkhiA1NOfwaynMyWdAKMy5dvtGsHucW99KQQgf05xTRHduBzb5+io8tNd5oXA3PBR5ay6o7Em1rSjxlAjej4gyJcRi1AXniTUAC2mJb5ObAKyMwqGQxJCs2nuAcuuW89rjtqGeBA4DiCRs+gMFggT0Ru3LchHkq2aEdYh+agHbSvJ2BLz+8YGdZDCq4S5ffMdMa52GOlTwZNsFvBqiUqGO2dCfmj1gn8QTcvIejx2YMfb0q/0xil8jPtg74j521T+kkjlU0azu47eo5cu82Vfg4wrD5IdIL7ThntOtHv4sbX18m7L6Ej8C408WP+ucUtkrmj1elAew5DB+9vlkh954jW1jTkvbOBDFmvJPVnuJd4yHPoCHa+fUpU2nIUmUIxOKYxPttOv3m1XUg0RnE/d7hpzNNzO2TIsb9eMhVKoYyuMSUaFKKuRKB5gihb4gjiGQjsoPHIaYaVyApEY18b17DKvp9sgi3JmXfdswNdM/C7RK1GDyGV9BD67JnKFvSilbK3l4vmgBDpu3elbYV+3wNXuGlkQgLWQtW3SmQuQcPJIdCaAl+wU2ZofeBTEsSMBYXnGTwPmXkMNiO4SgaIweXrGniFaWaCTaCAu+Z3Bx3pS9C60mQHYuNlFUqT45wN9iK71CxoA3NNlaRDApauodTUBrZ8yynCUHQZ5dkWqWRX/KRsWwBb+rZCNaa7FVWnt0JflN4UKQZfBegxLQ0zQYtjpxS13JZ9XllKAFieOoEyG/72tOvXVQ1H8VPQeOXU8Fc1onhXdN7wKQdbdercd5pMPEAplh5VanPH9QDfkNQJzNGRpQYnd+gEiICGHQi6ENnPUKsVdkGVlNx/tOcLCuzXO3AATwmxL75TljunnBhCgJRDsJQZQLb77CEsGgKirsfceQowsTxmY1OsGSN69zmCSH1MUUzTXeyGs0+5pEUKP+SwMXUJlqWsoFfBTkqXYBhcwJMq0xX0InQtMQBXxy3EZCFGAn0se6mDLzFS1q9KMjICV8W0wl2PbKsL5UHRNRgaWRXTAsmWDLWi9tQJdMHXEsrPJuimydGnmtIjSxIisxBJNqfLIdfO4+7VoQxA2HdMZpeB57MfQRCLz+z0oQBz/B6B6Zv737ciCAwEGRfq3HZRTtsKWoztEso7M6WUzjQ36iT0Lsxz5/HNBCVERLV2pHS6JDIuy/7iD12BTD2K1qYW1Ozg8U2PEtISc6lt6ARynlWyBFVK6A3WpzoDCwFRaAySeE+Rj5QY6XXuuMV1ui4pNjrmyjL7Xu02gsRRkuswObqETsDJEWh8psmhM8h9vIzj51RitneAQKvsqah0SR3BaA8l4QhiY6rhTdCscdjp1MWPUuTb0An4rhWwOUHRNURFuwhHUp+xCvqYQqJkCMa9sVTK6aNikueXI6EVEE2s5BpI/66DkMASdI1MQK5DjRlZCmQw1JxO3RRebpG+p1IvJOoxVUIKPNsCsOyRpQCoZppOMCuOItcjAO1TDtFQbl4jAxhCpn3LGolRgxKj/h5P9+xJUu3o/QgIez8ivkuE4z5/cxIAfEuCwPJF55/+L274VOjLEly+O+Ux0nebrpFSzQWbKuKgm6HXjp0WYAtw5jSBTEnHWY5UW8xlReinBfEoMQ5l1YSXCJFeKlYnpPsu0ohzAVzo83ykxBI3ti3C8wZIwWqJ6sIsSx4lxFHeXHGJeoTx4tp0Qjenn0In4IVd5DFKiUOTX4Cy6wTifgTroDewq0QNQuoEIEbevkQVohfQhxIv9ApeCjbB6ceSOgDfi3DKRfe6huVLDcDzrmcxC5mmOlKd+Uvl9knH7ztsEhWNFaiGLp3yk8r2YUPvGv5YQ18/GcwW0663FXvR0KVjbyfsTOoEjOk3FtZPO/LBCg7tGkCaTKETkN850V80ymcX2lroa4npWHGKgH0xw8sNGToBj+BcJHwCth+fKR/e4AXcUicwTZ1aOw/ff4683Lj76IJ9R2hNmeceVFztfP6DD5hf3rg/32i/EL1r6ASm0vn+5x/y4tML53njutV3dAKn0vj1n3zMy/OVqcRAN5W+awhOZePXv/qEj8+PrL1EKbHGsV9OF/7uD3+RT+5CJ/DYJk6l/UPrBL4zveE/+ob+960IAhTl9smJvsScdQh6Jo3Oa3NIRm3ILs3RTakl2voS1XhHO9SrhJ/Ane50oBfZS5XrxbFJ6FP83UqMqtKi1Fg32O5kNzoZc29dQXOu3e6OaA1BKQ7BUJ+HIo8nFYYwVGxBK0a6O4KLjYrBEh1dlhxhLYt0MuuwKdD7IhLtgBHTBa+k14EhXfcR04tH0dTQCdTyjqEI5NRicUiQbQcXx0gJjHLffU4qDhW8xwgt1dHi79wXike7gE4Wis6n6eme38Y0K8qfZU+hD71vVAJKVg2GTkAPqXJOuYY82UvqBDyYCS3jeGADX7kV2hSAY9sKeosinGudsRYjfJstMtRqyKWwLZUHoG0FEdjmxjQ1qhr9UnmsM7etBlJfja0V7paVtyxcL/Nu9uGEGch53timwltdeHNdEODWKiLOqTbOdaNZlAp/mcraxy3KhIsYc+lsrry6nFHCmGS1ykONIDBr/yMvJf4Db1aFtz+X82eJTlauWeevQluE9cUx1wkdANSz0ueg8kLYc3S26a2k9h625/GZkdKWmzC99VTmCbYcvL72oPbKzUMnUI6SYohjlyR6h07Alqcd/ShDjuo2dvpwiH6Gj0BUKPquN5LG3rn64tQHxRaQ7lE5N8DnOUuNX2V6O4REM3sZMueOP6ZOIGnCMef32WjPUmNwkyfPgRAdadKaJuhDMCGBGQxtcVT1ySq4RiSRTWOunZcgQsyjpYTMNg1NgJBPdwmKbCDixBRLi+9FP3Yd6RT71KrUvhfI9FWjEKgnpad9b39HJ5CUn0sPMxB7t41Vc+pgR+a3aighM1g0wM2SugwtgN8iyvWpsM5Bzcm1cNM5ppcPla06t2XiYZ4pxWkPEw89QNR+Cz+Bh6nzqgaN9/hw4nab9kKtaW7U2vlc77k9zLgTAaaFg5GKM9fO5+V+FxN9Wc678xDAqbY/2lLi/y+bVbh8KnuZqzSoj9AfYoTvp9QJpE6/rML8VZo5zNGB+9l3A4/yKLsXQbnC9ePg9C3noPNXSj/Jbtxx+yh47TF/m18Ff93P0VHXl9mxNACq+hCjjE3hPbB+YNFOFq3c4tjhWeBRGjvmsYkYDzDIJc59GHtoAnB2sh28G6XAkMKfKbABr2RJLIfhh+c9HJnLdgiQdoowA4kLu7Q4qhmdnlRZT0agPAZVG+IgxaeOZDYiPf0GBjawCZySgFhCJ8DjtAdBn2S3+LLZ0ZsG159sg2cFXbtLBL7FNINUaEriB0Mj75uGDgCCSiyODvOPLMKRazAmHmTNwZcn+j90Ar4pzH0/Fi0wJbkF2OfpbRAnKIdCclVcDLMCGfijdDifWY9sY9uUPsfUyq41cJpNsHViLZU1ZdF+KaETyHNsPu1WavJYuTVhnad3ypVH8Oy3stuf7eWpgKod9+WnbN+KIOCaOoGJwy+gSujuc44cOoIYyfoquA7kNl6oqMn37Jy6C2n6Ei+VnW0v1FkhgMX5sOjqz9NPoAkrQWn1sx8d5j7mnL2WPaW32dBWskIvRslRJmsnY3qoO3A2EHq5PvEfeH3cfp+yo3SJgCJPbpAM8VCW444iGnKgTB8FaU92kiMoWBqqaDryQOyzMwSZ7o+Ks3E+e5Ywvs5ITwCizPome3bjmopFkwQsI1PQjZTtxv7WJdLyRLpLdmLL1N+zVBuPDjqyq/bMQsZbnH5ve2fULNZps++lxF6OcwoeH/wUQNm2lR2JR9LV6abYFHzrbmJSnFG4xBqU5m5d+YTCkx7Mgp/sYE2e6gQ2CWZltpAtP9UJDMpwBPaanbdxoH0WgKUPBqGlVPpJO13oUwqykjYHGEVn3fmj9xP4g25eYHth+Cnor74p7T4NIyRudHvRkVP6AWyhI9BVj1Q1S5HdIj3rZ0VMmL7SEAqdOvWuxWBcnH4fN0s8piFUD0qwS0xBDZgcu0zxwNTROVLJDmFGOUqNhbDFUse21LFPFmXAGQR22q9HxxsPZUfvU+Dhc6Lfc+j3bZQBF99r0AcbMExCRoq/SyIlOpSO9gwS7qkjyJRXWohg3iklhqA4hxy35qg+yjIt59Uax4isJTImSY3BriO46Y5xlBvYKdJvS8+EvTzWCH/DTOtHqfAoaoIIUL0NZV5mTVfdPSVC0KM0KYffwKNShmT6WsjiwKiP8BjFtQkmjgwzjnvb6/ghWAcjsAXvwedLagbEMqub2EVQkAFoTP3WzLRq7jPKhHvJcxiQfhxDRkuXdXsAACAASURBVCfO5xieCBk7XIIFGWXnJbKpGBx8r8YcbJhXj0DaQqPxTdu3Iwgo+GLoXYuONCne0lRED51APUUFjlXHJsNOoRPwr6IoPeaDgpRUDQL+dtkBKlEDU3TpcQMnw1/VPc0TiM41aLylg07vCHB02FsVQwdfrU90AnOInYa9115um1QhyekPCo+kIAcNuOsERilwYS8FRmPeP9rf0RnAOzqBY/+j1NinQycwlIDDrSmMKbI9O+Zop4ZefZSyRpDgMEOpvhdaDW+/kVHEswLNclvb0lLMZc9iBuUl6Rh1+ApGACppHsKWPrrV9k66g7U3pVfHBuWa5zdoOsvssYvv+5fHEs5DgBSC+lvCWEZuBX3UXUfgW6T1nDtsmlmO7L6R0iQwgtlDpNRk78C7UckQII2pyvBSHArRPOfAWtiDwE7Riqe71KHZ2LO/kVkMQ9l9ap06Af+WB4HT5xt/8q98AarYswXpDu7I1nFVJG1RotS4Im7Q8m9LQa/XKDVeShgqmBPODiD2AOZ7GTLE3NfF8aJoi2ogq4rVGt+tqfKqBd2CYrQpqLrhW2hToU9CvfVgMKYpzjlBrD4X6tVoJwGUPpdIPbtjJaYi02NUKkKhzzUMVltOcWqCk3cxtXEli5ucdlfTbTgB0ar58JNWXMCWCb0FeKlrfPfgtfvizK+j5mJ7HqOFrmGSGsxFYXqTcupT3Gcd2oCm2CbMXxa2l4adex5TDhDvppS3SnvR4WSwCa0kRaiHMq4/78jSoxDHJdyEBabfnFk/6fhHa/SdFhmOTjEl47dO9A8a8tmVbkIzoabbb63Gw4/umV7emD5p9K4UdU61U9K990efv+Dlp4/UnzeuW+X51KilM6nx/d/6iLsPr3z87BGAa6vhBJwo/S//4Lt8/L23fHC60F0xF851Y9agAH/5x5/x2fM3PJtuXHtUAt7VlXPZOJeNv//ld/nk/Ja7umKuqBiLds4lPvOrbz7l4+WRSeO+Kk7Vzst64e/85J/kk9NbPp3fouJMGclVnE+mN/y91/8Eny1veFZuFDEmCQPSIsb3pi/5c9/Q/74VQcCL0j59HjqAUS5sUB+D//ci+KT0WRmuKboZ9dLpp4I/m0CFvoz5YJQaS4uMIICvw7NQm6M3T1vwmucQtF5U80Vq1RZBfCDACSRtOepqWJK3Uxb51OgoA5izGh3UCvsoWVanSVinR5otO+q/O8LkvjY9aU9gzCUrHmuwDsMVyFMsI20wGVHgU0qAjp4KQTHfnX78IUagnk46vTpIWHPZyZi/isKfkdnYySOYLoacOvJFpvRLgGbhbOSwhA5AXpWYYi2dvlVGLYRUoy6NnscfUux9XYDhn+igqfwbTkXuMdeWLC9WcVrXoPEcpCitBRbRbjVq8rN+Y50sqDk1eDvxpp6RnFpeJ6PUHhTgm8ojQRWZKb0LyxL0Xy1GezvxE71jbYWtR6nw3RxGnpMab97Gcd/MC9etMhXbdQJVjR+/vWczZX6iExh+ArN2fvj4nOblHZ3AqTQu08QP3z5jS4eRxzZzKg0VYxLjZpUfPHzAapWP5kduvXIuG4Ywa+P61DL7a9vvGwRE5K8D/zrwI3f/Z/NvHwH/NfBLwD8A/k13/1JEBPhPgX+NKHD6d9397/1+30FRrp8uUYMvgnRHe1pzlQgC272+owMot7B7sik6VZ/lHR3B9BgvfZ8k9QAHCl42mB7snb9b1uJrj/lnvTnbnexz2ihoYi8ltqxuHDTk/uJuMdrvPgWpyMOiA+9lvymX7VnCLO3QH0SFYo7o6TJcrhLTyJIp9hNL88CqPKr8Ck/YBT0wKM3AkTLgnvbl+xzVZQcYme1wN36CQu/TqidYhzuHohFymnLMaX2o3naLtUDwzUh8gT1V9S6U0xPL8YGf9JFlCDpbgG4DBOxJ5Q2pcDkKjbzLrhPwYqCCyvG91gu+Ki3puN5Chts3jZLeVA62W6UujVIcuRTaPPEWaGtFi3O7TSzLRhGnXwoPdWFtldt1ok6dyxp+AkWN63VCxKlqNNMQC02Nuykk868vEYC2Hp196AReb6fDUlyMW69UNYrEYiQPfebV5YSKs/ZC88KsLY1JGm/KP1op8X8J/GfA33jyt78E/A/u/pdzwdG/BPwHwL8K/In896eBv8pPWX3o65tV4eG75VhcpDnTI/Q5RUBVuH4oB1jSYH7jSNdQ11VYn2c76RCbFJgYrC/Tknxc9CNRezDHSzZKkYcqr15g22IUhqAgR7msrsL0kIKeNARpd0kvWgaQa4iQxIPeG9QlFgj9qFysl0MnMKr8dJQSzx7l1LlISX/pe8bQTzEiT18eOoFRCRhMguPnjl+iZ0p2pl0nMFlOM5IhyJF2+DkgoUtAQm046M29ujHPQTaBNzVG+C2LYHL+OUqFrU97oYyV4PB9VNo13S2wPMHXp8IhX5W9kk4kFgGpPezdLPAF0nbcN0WWNCwZOgHR3bLLtuDkp6lH/f9gCVrc/E6U5EpqB/ooc27hFNwA5jBTsS6064RvSnfotezCIbkV1jKxlYpfCk0nbnPnYVqiLubtxEPTqG/ZYiWkUoyfaNihXy8zt1vdA6Pk31Wd28OMmXBrBTNNyjSyiVqMt48nzJRX5cnLDtTSKYMt+inb7xsE3P1/EpFf+tqf/wzwL+bP/xXwPxJB4M8Af8NjldP/WUQ+EJHvuftv/17fYSU6quW160CtR1o8C9vzY5QrN4BETZf4TLvLUU6Cu3eJUbxcnfUFuw4gwLq0/Z6zw7+I9NlTqOKvYoRv5yh82V7EYh9ePAw1yxg1g0dvz5KeFKc8lKQtob6VpD9tBxdly6q1Goi7kzqAYdiRoJAtFnN5P1J+IH3rki0oJII/3IOIziPRmQYNB+xo/AAJhydgye9zC7VjnyItt0Tg93ZN8G88s+mg13ZfwqfVh0kx6lNAKlV9ngFJVoGtRDCp7MYgLaXM3o5KO9CjAnEwHHtbXLc8fdG7gB6mnYPe2z/T4z6OdQVo+i6NNgRMW1KeW9Ql7FWC43N5f83KUa472kfWcSv0TUNslaXFVj3qDdYIhIiz5WpMNnQC+SWrJtB7KaweSsX9BAQuEIV1a+FNVzSfvzy59T8LP4HPRsd2998Wke/k33/aOoQ/D/yuIPB0LcLpxYfcPkgdQAW9hVPQoAi9wPoijT1KzvnOacWcBS9PQax+1lgizEP9tz13+n1algM2lfAiqE5/0PAjeNmQ6lgTblMNgO6UgOLi2POGVKMthb6U6IQ15gJeYuQVjfXlbBb83KkP0xF4lgHH52Ies8UoCtFhl0CsfdhP1+OFHuzJcKSNETnbPYKgL4Zen3TITPHxvI7J0Wt8fozqowNZfaITGEKYOcU+OTAPNHv3A1iyEMYh3H0yg8kA7rn/qHLzMeL3QOlJHcEw6zQnLMe7hCbDBb3qrkVoeugA7EVwZnIplEtIo9sUZdzrWndNhaO7Y3CfI3O4XuYIoqlK1Abuit33mH5kye4YRCQViXbnWBckKwZHJ9RV8Y2sPJV9cZJh3T5s4H2xrFaNdh/taX8WOgJPDlP290JaqCLHuhR+KbG02mjfcsqS7SY1qE7Yi8rEhPWPUCcgP+VvPzUPeboW4ekXftHbsyxWUbBNaM9l1wHoJvR7Q+5a8MxNWO8yDVQP1dapU59vWBdsKaznGDqnnyRvPDn1fgvL8cnY0uhB23R4E04WGciY3y8dfzgdHStT6aCpQjfgr8puOS7FItoXCZ3ANHCNJ/vnw5DJ2BcEfVLpZ6dA0El9vhffHYT3G5mZgFjiEV+nCLMUd9BTgxocYiwg5tdbBEJfPHwEap5LFhQN+mosNIKOjhz+fZjudQr1Qff5uzfdDTYGhlGucUzfIvX24ojIIbdOHYCvGmrI9CCQxFnC+6/EIp/jfq6DwgtNgJEanclxc8rbQrlkVvlY8DN0iYBNU/ShBNYyg1ySfrzrkVWko9FYTWqshuR3fe94WAxYtqT+I7MyWSMLiUrEzGCHNqNLKCuTlh7Wb7QQSmlKmINSFuSWuJPEgKj7ikoebktraAe6HEKvsH2L90UvQVf2n0Ep8Q9Hmi8i3wN+lH//A69DCDnSnaP6LDpaKseWMH+0rybIBSNVHJ9zxHChVMO+WPZOosUpdQvjSHV4dT74eADJzlssLMdlyhvOnkLpHMhtnftetDNcaXSyqI1JRHmkyiP1kjn8BEoqCMdqQmOdgZFySrU9QOw8cJYUy9AFJFaw6wxIgK1megjHoiXj+vQIOKOU2EepcpH9XuyrEj8tFX4C4EUpr+/tA/9wdbiFmAj1TGVTTzCCwGiXI8vwGgxFH1y/seMUo+5erxo8fx10yJh2ZO39GqN7aC0yw8gMRjfSEyCDZtZah5dhyD0sLculRkFTyRWUQjEpcV0frMEobFAfnlqOE9f1rEXgumisW2CBUYnmuS0GrWSpcASKIWjzVTMjkzBcGaXAA2tJIdDIDsipsT21lIfdkhyT3ZcSxlR69Kr44zBV+VnoBP474N8B/nL+/7998ve/ICJ/iwAEv/r98ACA048af/KvfAlF6c+ilBh39NqS9yde0NQJ4I62DmbYUtHbWxDBlhrGl51dW4AH3+slMoRRgARgtaI9HFlt0r2UmByhbK7o2uJlnlMnMBD8UmmLUK+WGEPuC3EutVJWoy0ColiNfcVDJ2DTE52AF/pSw1zVDp1AvXquuKw7M6FbFDbZHHURUeSU8tqUBdsMfZkot1hnUW9hl1YusoOO8+tYUHV74ZF2jyXHFGxWpq80lnc7xRAyUn/PQqL5ixJuUHeRmpvp4T4shE7gZVqO3wq96m6zJtXgoWLPo5S4XYZ7U9B4028urB93+OSGE8t9IyHuUgF+Z6G/jFJiM6UblKkzaSwz9vjjO6YXK/PHjdaUWoxTsVjWuxg//vFzPvjum10n8OwJxff93/qI84srn/z8AwBrL++4+v7qb3+HDz9+w0fnRzYr4QhcGlWMU9345c8/47u/9Ibn85Vrn/a/n0toCX7l1Wfv6AQm7VQxzmVl0cavv/2ET09vASjiVOlM0nlWb/wvX/wS3zm/4bPlDcDv0gn83a9+ic+W13w4PaI4JRVfKsZH5SHm3j9l+4ehCP8mAQJ+IiK/CfzHROf/b0Tk3wN+A/g38uN/m6AHf42gCP/c73d8iA7aP7zDlhKLRwBiTikhlAm1m9KnXGPQQydQrp2+lOjcKrRz2dHrcu0xT62y1/i3uzi2NqdcLcqQGZ06qhW1R0cTd9qiSKx7EiXHGmXGEIG1nWRnNPqUXH3Oob3AdhbGAiNWJB2UU2c/J9+/yH7OMYQfzMNYNXmo92JkjPR1VC4Giv8EAMzRfRQdRWmxYwiafw8L9swiUpNuEFOtJYql5leZ0qe6bqSXPnuIejyKYGSyUMqNrCf9AuQn0a6T0a9lR/93nYDPwSAk87Ar4uQYtCTB0JBKx+fGR8e82S2QfwBTQiewKS31AS3bSjVEjVIcv1TeTqdYsq4Vti0q8koxuBSuZeZVjWywd2WdY2WruUbAejMFbdR6IPT3GUQe2szlMvPldGa1wrVVJjXuppVrmVAxvnwM5P5Utx3ZP5WNS5mYtPOT633oH6xQNdZKOJeNm028up4j6GjnZoUlBUWTdjYv/Ph6j4rRCRHTkhRhVeP2j6ITcPc/+w1N/9JP+awD//7vd8zftV9RHn/unKNmpDtlc+pyiIfW5090At2pN0W3MAyNDqlBxWXmO78dnSI6TTsdUkvdYH5IelGjM7bT0RnHsuZjHxsag6zKK5cEI88jZWU/dlkJpV8ebywkIk4si9by5xNoz8U6kx4cUt6Qy8bI3tKVWLejHNrm8BOomsGCmAb1M3sKbuegUPelv3UUaQWA2i/pbzhkp5mae3U4xarFQNhuQ/TMnFZoNXrqCPZqtgQcGczEOGaq/VLMgJScOqVOwPZiGN+l2rv01QgdwKYglo5MPbh/E/qwI9sUT+u4aYl260rbCIwBMHXEC6W0UCs2jeXF1xhcSmYh5aL0WmLdgSzWudaZOne0GPK2citOb5rOV86b0pnnUCRub2deifM4z6y38BOotXOaopz34eGEZecfOoGpBNc/xES3XvZS4EktKEAxXr09s3Wlm9JcqTk6jPbPH+7prrzdlr1vNS+cyrZ/9qdt3w7F4CS8/W7ZDTh0i1S5LUdJ8PUj2UcJ3SR0AsbeiZ76DdQL+5p/5Rb77kuXO0wP7Cm1rtCeBcU4LLamtzFfGx1xuz9ounIT6lvZO75YLqZayQAieymx9EzNz77PC3ULxNnmWKVn1xEMzCE94nrqBCz1Bi2XLi+r0O7ClFVGIU6Xo9OSbMCpY496IPcDF0n8IO7HE486SRoy+/xwMN69AzlA61hhNzX/ryvD9dgSG3QTmEJDz6aHq3EW7oy1HEdF3ADSfMoahbyXtpbDL2ALLECytmEPMGvgD34r6DmWLm/AXs2Xgim7QTmFe9DNCf+BRNfdobtQTwE8k+3uRAWhCc2FMkd2aSkg8i70i9CnQruFJdxYd6CtFV81Yqg4D6Pc923loUna2UmqGIkAVDvbrbLenrqWBv0nwqET2GJUFwnrNdWweb9cJ1ovfKF3iDgqQVKo8P8DPwGF7cUxouoaaXz498covD1jr1svt3hppLMr39qdP1nBR3aFX+gARho8wDalLKHWq49BP/ZzdOSoW4gXv59CJ9Ce+b68uF0lVrNJheH0JgQ/g570B41FT2aPlLo4/ZROyoDcNGoXNNyRxroDYWghh7lo9fDq8+iQoygmJLYcYGZ2yBGQQmLse3quWRY7shiG7XoyCSFOOqTHfY6RfCx6EgtikhQfO0Mx2kfQihvGnsvvhUH9ABkjAESk9smTvtOsxPNcmjz9FbIDypaVeifYVYIn3+lG2Y5qRzeJUmGIACO2axc8VpSjtaNWP5gQEsknvAyJa9jdhk2CAnQNK+8Bfo6Xd7ACRWDQwKPdZfcydHEs8RXfFPyoTIyRzUP2vuZ6ifu8J66bEoDsZkK7Beg8NA9j7UtbS6gYE0AfQSS8Ob/lQcArrB+EkcVQn7X7w/ACYHtuu2qvbRKS3SyVhVTtLYdOoN3HHZzeCttzixr02RI4y+qxtCRr96kDmGOl49tcdu4WLTEq3nekGn0q2KI7daetPvETcLqx6wR4PceopuzVgzSJhzwbvNKjQ89pbFHksF5Pb8FYjdhi1ML3Nf1G5aMlDShXDS3FYDqGUnDJNH+UGifKP3CEMDiRMMLIEdSnXLhDBkLP4dfvhG7hMYb+4Xq7lxJnSbQ8Huh1dOR46bum5fhNjxJkCUTcmkbREREw68MIKtF5DBKMFOShUi5pujkpvgb7trdfS2odhF4c81i1MtZwEIaZaFiNRyfiPut2R6XfKghhGe5NYfZDJ+Cyr+Bk6ScgENlHovSSHg17e2oEvLFnIrLJXu4tuXzaeC/29uEncCmhsxis1E3RnkHVAQpdPVitzEww6IM+/inbtyMIlBypz6EToAt2FlqWTOoqUehyjhLfENRkmlgOnUB51rBcMqotAwQsu8ioLCFbtRJRl+L4dTrKMrPUd9wumSz8AkZ5rfwUnYDUo9OVwckTLrn1KDUeD3U3FxnU2UjBcx/PYMKgFEcKP4C3PQvwrFvIdo7RfTccMQ4KEg46UWCvTR+lxLngy9AJ7CvtjgCTZilioRMY9NtgG2RQUakTGKcRvol+1OhnRx6bFSgpl7aWQqJcSCOuPzLDchPanDTcuAaSEXHQq9A198/r1Qc9dAI33b1ExvHLm9AJRB1GAqHncP+RW0xFdp3AKHPO9R2GjmAI1nYhVLX0BGBv9/x5TGMkC64QOfwEBqbSIujsvo5pGe5ZczKeDQnUypY6gYH9wNEuqdpsQufbngko2LMYiTU54gEK6WThHruEE22Zw2jRMu0sxdg+P+8FJDp39GT72nD26v4w5bBAnKdTw2alTo3+xbSbdOCBIo9OMy8ba5kPHt5jdVtT3w0z++Dxc9NTw7tSl4brvH/3LuM8RYmzfl0nAPFyVgmDkj2lZ7eX2pdfH+fztF1yGjCENOp7gdEIUj6RxT4xsg8OP3wKPMQ8TyTAw4sgVlsi2sUPvX6KpBB2YxLpApdIz3YvBMgOQbgOm7AvPTbFsxQLYYs58LxFVkQECRmVoY9ZzZi235Ip827R/Rhsj9w1vBfGOoWyRabill4Gdw3faoK8suMhRkGfb1GTcCvUh8PUJAYKRT++0alwKUyvM7NC0vRDkZcr5hN60Tw2hzUbmUFdde+8w/MBJzKIkgG1p9rS5BgEqh/eBaQl+tAJOPFch0Gr8s7iK+8saPK17VsRBE6fN/7kf/I6LMfv5vALMEevG6iCX0HScvxcU83m6Nqw04Suj4EFnCtWCuKK3npyTJe4SUVo57jcsXS5TQvS1nxQik3hFzCMLW2e0LUnUJcAWPcob9ZgFKaLJe8/5bLm+eDLhLbEKbRGhWKmiMNteHrMSkVK6gpyDpf1EvXiSWseOoGBgwxL8b480Qmkm7ElFai3mFb5JXQC9VH2UuLpjbDdO9vLGLnKLUDLseLQ/ErZXtiOdcjDARD67KETGEuTdwHXvS6B2aifT7QPG3pu2KVGsVZmQbp0/IsFf9bQU6c9RKmxpMdf/a2F7aOGfHQDhfVW9rUYVMB/uOBpOd49ph+ldqo6S+oE6vON06cPtFZQNeaSluNqfPnlM1589w3zL/RdJ6BZ2feD3/6Q07OVjz97BQRgeKot6ve18+u/8ymffPaaj86PO0K/1IbizKXxKz/+Dt/9uc+5n240L1TpnErbtQS/8uo7fHJ+y7Pp9rt0ApN0fv3tp3x2fg3AJJalwodO4JPTAz9/fpXtcb+KGC/LJf0EXvPxFBqHSdvuWfBcr99I230rgoCrsH00dAIRsbSlTqBqlAQvseqQV0nL8Vjrz6ogp/h/Px1+A/VRs4Q26T0VWkqJpSv10XbLJdejU4tF3b/0/D0rCfsUVOKwI/fyrk4g6MlE/5007GRP+b2EBXqcwPAFGKlo7DP8BAb//1QnMDwFjk4eP7dzpNqDXhyrFvdTjNpDJ+BIehT4zkwMYQ+S7MbQCZwMXg8+1Xf1mmvoCuTUgawerBajbp7b0AlAKDFljHJCpPZzLB6zsrBXDcIxhRlZkcthmGkEeOdHNvS0/NhGpaBAb6G372vhJtO7OgHxyPQeKw914aKG9dAJaAqNuBRuOvF6WjBTzITr1FA1pmK0S+XttCDibK1QSwSBqiFGenxc+EntNFcet4lJjXPddhrvqyz3vfaJnhRheAaEt9tPrndo0nlVA+A7l43X7cxPLnf77801S4UjkHylZ358vd/7VEeZJJYsX7Txld59Y//7dgSBqjz+3Cl4e5EIAKtTzqEDEHNuL46ly7UFly891g7AY42AQadJhyl9/8XS/OPMXgVXbk49yb5vVCHKbtBaH3NV3Kz1D68CMhNIu/ICPYPGoCldUydwCTEP5KieOg1J+6dYVIT9u8diorEsVU6PspBliH5GGhjfl8VWGucFnkU2OQ+fg82YejkqI+WJTuBs9KvsHX9YhdmSoOMcOgFXkOshwMqLSCQ7MqaxGs9erTee6WAu1iMt901gShTeCPXh0OE7MRVSC+t1e9LBt0T6S0z/bAvZeO8axTSjVkGd6dSjBmEwCVvgFyaOqDBp29clMI/2vsa0UzU8+6wWHt6edpDzqnPIxIshD4WrzrStREGRgqpRc+Xf9jDxlZ54vE20YQuuzlRi5eCHhxPdlLkuuMfSd8CuFfjy4cyaZiUl9RZCBISv3p7pJqFUzDvdPKoGixg/StORt9uCimGuIRIj3Im+aft2BIESfgFD+FPWTF2nMAUBuH58jJJlHXO0EAJB6gSSyqqPY/QNivD2QVhpDTApFimN0bhenO1ZSGiH997IJoaOYLsf5b4Eq6Dv6gRixeQ4tl1k9zgYOoE27MwtjqepExjFJxEIEpO4DcmyUy7sVYh9CeSo3MIFeXc6/ppOQCzn57Nh05MUvvixtJd4rnIUWc2IfmJHJx7VmQOYwo8gOqoQcdDHGGl3psbZjUZkDUvxsbqwF9kpQoTo3E12oMzTbTeC+REAorIxZcdP35suWbEHnkuHj06FZ/vAFhTKqYX1draJEPt7LDQuS891BzhEUOk0bC6QC8a4ZQ1EAqRdCu1WQw69hddA3wrWsn7FA+dRdfpj5eKwlrqvoOyE9LdUY1srvete9jw+o2ps18qjLmy9UMT3dnOJLOQaneFNWZhK33GzkXF80/atCAJWQ9Bj+WKWq1Dv2J1cAdaXvOOV356MwnBYlgP0s9Afw9preoDbx+GkM2ropyW56cXpD+EX0O4HSn4EI5sjGG3PYulyL+HHN9Ys8BprGLRnyWwUp7+p0fknWL5Q+hwW2eEGLFnuG8daflwio1iC3gwEmmOV4K3sAcCnKI/twk4R7qNteh3sq+Vmaj6cg4aZaLnkiy2ErflgCIaO4CZBgcmRiQx0WyzBxuzAe3ui24Mp8BEwFt/BrwFe2aAfPeoPwqxTE2HPKVITeGaBbD/WOMY1qki9pZvw8xAs+LWg1wgCpkHx3XTareMdPUp11bM9X/kWLJI0yQo+YrVniXsai5lkKe9GsEJP1ixwSWXUTREPVmBs3gS3smdK0gWrlguhgl0qNqZJPb6/K7RTx29K17oDrgxWReOarrfCtUbFqmR5tTfdnazXx3k3wRW1AEN7LNL7Tdu3Igh4IRb4OEUn13tn29fOA4Yqbwk/vNYkdAD54olFOaufQ+fe74Tt+ejIGqYgJwsxRxdup6R41PESfgKDnbCm3JZ8wMURrxF8zj1KhUsJ6+zUCfTrdOgESFWcEa61r+aDAqwxRNqcv+fS5IMaDGoyRq2xNDle9qpBplEFmS9r2nLzJGgMUclgG/aFRxZPfCDZg51Kyin3MoLfgeTvl0iwpAAAIABJREFUlW8lMYTUDAwqLJZtz5FmCZekfXmwplANWUuWe4+pjuylxKPWfayhKJKdUUpU4hmwCuUxdQSrRO2I570zCT+BxwxsOkqJazxnE+Rt3RH6rqEAbEyh4dgUuVXKYy4k44pJhRepGswMQi8je8qpx10/av6dCEKauNKwalt1D8SyHs5I3iWCCuzTF1kPHUAYsD5pL6H9kJY6ASGEEBt4ifOWLBX2+ahkdaCVJ/t3oS1HkPr69q0JAv0+1x0AuoXBxKCp9KrYXQ9Ty/+XuneJtW1Zz4O+/6+qMeaca639OI99zvG9NrZjItIjAgExvYgOdAAFKYlFCCgtGkiIDhIdaNBBQqBIIBASjQghWShAB4keoCgSciQH24lxrjGJiZ/3PPZjzdd4VNVP4/urxlzn3nNz4V7E9pS29t5rrDnnmGOO+qvq/14OLzUeAIJBLgG2q9B9Jt1zEApzws0gjZV+Aa71t0Jrp3oeNxwf3ui6lRS/ix3iax1sAwMwNVGK3AadNB5A5fKvRY4/wfeTf/lu50XHHj8e64aDOyNw8yMwDngvKk3aDLF+nKsNPIETbyFI9hG8EJh+D4+AMw42noAXWXizkf6Hxpvc0J9PuLINdt3YcoYn/gXioTKt2AF8Xa3ccojv/bErfRC20BQ6MvnsvivEzQFXZgJ1Fcp5RXifeO8lXrn1qqsAQoamDAW20hE5Xr356s3b8DyjLAo5R+gknUdQAoCg0LsV9RLJ/MyC4GzHZmKCoUIu7vxjm5+AGIuESWNSskq0Qs2Lgc4naNkGLUKuU63b5wZZic0erhO92sOLEE1ZnNH4DY/3owgoaNbgngH8IZdoMRXkz/es/moIAxssMOn+a9f53nkAjP5uZpMxFaxfphuegJBS6c9PQ8YcRjcF4duGWIHI/dgwZkzBTUWM3ek4FJRg3Z12afJZ8DXCjoSkOBSYjNsABjvfEnNvJkEH9PARgPZU0Zwn4PfRjeGItGreCoDCGYk+6IN1TgCAjvPzg5kr+fxU2/K9cQzG2llyfLIjHv482/nNa9IHIBu1XmCcJ4AK9gIa9Rm8oZsdu84Ky9Y19N1YxfshtSjwsHLW9a1FjTzfcKHLE+5X2Bo3cyXvE4nd8ASWlgQL37ZwIFVRypv9GrRGLadRckuahiXMzhMQFrkKRXhR6GBdBOOX7vHoF61WQXi+IGeBXgPikUW1Rh+fVcmBuIZu895QE2QAc/DkJ7eQv/F/RBXYPkOu9CowIe28NX1ZEfhZu+py3oxGfhBPQKyFqv3/+Hi++9T+1M/8a7AUUe8HoKWpXFdK5XJ1QktE2ScwtbhC1uJ+AhkQQdlFWOIsRZ4A0NqrpoJyiN1PQArtyHXhPrC6pblU63BcHej9vykJpXsGmMrXeAJENczfywKhxpZOXAOPk0PA2SWdnScgvFGaS47FW56AzwRhQw+q6x7C1KBEfs7WMKUVOZg7cGf9uZ0nEA3pTC+/9Zn3Wa6ymZwmQ3pU2rI9J7lBz83SCqhDxfhlwPKB+wl4c6+veFJF/PKGJzBFrjIaT2BwnsBDpiX5hXtg8cZf/IOxx5qLgjOzC3BEDPW7O9TnGcPd0oM7Yyo9c+/01QHpfsF+t6JURXD4LqghaMUXrx/w4vkZQyyY14j9sPYO/O98/hL7w4KPH+jtX6piF5kJP4SC7/zhK3zw7IwP9xdktw4flDyCKBXfef0xPvPcgVwVgzJ6fNCMIIbvvHuFj/cnPET6WCQtUBj2YYGK4e+dP8Sr8YSoBQG15wscwoK/8ean8fF4wrf3b574BQDAfZjwq8efxKvxiI/SsXMIqhEqHHXFv/6P/LVfNrN//Ovj7/1YCYSA5SeeMVcg+l4rG8IuoiaFrhX5EGgxHgVihjAZJLMDriVRA7DTjrnH8wZtWXTbcR+QJM7Qchz3wQeOeM4AIcSwUg68HtCLQE0cTOlKiDDvb3IHEghvrk6BHTx3IG5FgRCfuSqQW5ZmdS4GqDc2TYG8R88d4PUAxKXS9BMwciNcbNPpqco9ehmBELfGqYoXj5HwXlg2Y1c4n6CqdAgxXDdU4HZpb4NxJn3Nzy2hwprxpWDjCbhj0+YX4H2KgY7Aq9hmT+6zGADoDQIg6stgb4xZBT3+/GfW5MSZeL4IoKFA5oAcE64m7gJMvoIASENGPSW8kztoKKgl4OyJwKqG+phwyYovW+e9ClIsiKFABViOA954cWg8gRZcomJ4dzxABbjuUvcTaIYkAPDF6Q5rCXg2TsiV8N6gpUN4n18e+s+jVrcMp535H54esBQamfA7rVhqxKAZSSp+//wcaw2Ya0QSogPXOmDQjHGzHPqex/tRBKLg/OnguQOAroY4GfSgKIkz1PxcN57ACsSrAQgoA2fY9V42r8CFPIFm5LHeUXDUNf+TIRzIO2iJPeu99KKRzlzCNnlwHTbLcilAObXCAqBus3GTLocZPvjhIiVsXgbu4NNCRWpCj6Fi9p73SEb3Vhy9NwD0TISy82adol+TlnIMoBN+pHh1MecJ7K0fy/PWCOz7zrZ9SJXErcEFKL7/RxXu2YHNbuwSWdzaa7haD8HYpJ1CF7EYKq3jfM9bq6DMYds+OJzWRUwVNAxx3z0Zqek39/crRfsqw7ynklJBbhyESjdfAzolXZV751oEtUR3/lVkt5tTdwK+nEd+vqKYxDwvgfv9WUe8XqMXJV7DVkTKKeGd7HGZE9OPQu0qvqAV59MOpShOM+G8W4gvhorzNLB4OKRXqvbj70575KLd0UhhWCq9B4JWvD4fsNSAt8seg2ZkoydjNemF4/s93o8iEATzC+lFgINIGOKR2KCaPmhdWh5v5Jwy0A1oeU5IEHCeQODsnU7kEKx36IrD4SideptOzhN4YJNOs6DbiyUGjaz3HEC0MOe2oJOHVkcuHOuPJ+3pQLoAloD1rmHgfH7T94eZg7wmuPjHUCc2fOpg/BzN449sad8COGS4+kBtKjIP5WgJt+YW7JpZaFo4J/z1GxV5M6lDn5kbHCs9b09gaL0RNtvo1qsk95hsmXttH58VWNBhxJbzACNk1xqMOrsoLNIYpKlFWwHQhd7/LFJla3pmJxpV9BSk2k0NONDRu+1g49W8SVeckdhUfYHEn65paCxJb1CWbMBuu1bVQ02q8/tLcNu0TK+BknVzZnYIT1NFvUZMBswhbUphJx2FWLrTkeoWs56zQtWwThFnAPMaMcTSeQKLk5KmKaGY4DGMGNwZCQAWX7F80+O9KAKdJ9CMOyZBuN94AgwQ8dnOO5750KykeYPmOy5zpQrKHsiTuMJNMH1AGm0d3KF3JL7NAeg8gUMbWNrjympyS/J7lyKrIV8Dwl56kMfw1iHGQ3HlYOQgT4bxc8qQ665hxAKobjyAzwPPcXSTkCx+nt4Dmdw2a7DeMCot1tzRA81Cv4JItlufUcUHceFxiA8KAPQL8Gak3aT8ujFm2/fLqt3osvUj+mrDj9NvwLoHRIsXt7G6gIXnCHDgWFGUbP3z0g3XV0NZURcAB56vXCkF1lVoOb4oIb473tB2oeW4FOcRAFjEiDJlgZXQg0OLAaVGzF5MGCrSTD0VNlQUNUjyJlzjCbRVTGIILvdyFCMBoNrQj3cfh0W7hqSTnaIxIrwI6iX2Zi8yYcGqhrJTYA4oTZkajJBgQ20qsEwBiwLXVIlurcpC5wVjbTwBZziWHFCzbGjS93m8F0XAgs+mPvvUASjuwNOMMfK9+wlUQBwCFKATWZoUWTzNWA/+hYgP0n11aFCwJu37TKk+sA6FM0UyrMm74P7eNYJNLVfu5UE6jFcvm7cAwC47ffsrLDQ/AKC5ALcBjqFymm8d+1gZHd72x4kt3pYijMYXqE//3S3LfWX0JBKsyAYtOt23J/7eHLfEG7u72nZDDa6O2nFea+cJBIN4I7NGQFbfMpRtAPGC+POcQ4BVUBE2noDbqok2ByHZ3ISdjKQroFFQGrzovhDNjwAgRGgiRBUityJ6dj8BoMOLRUEewRwgkzJMRg1VyFGw+8xB9T08AZAifVc8cp2rGvEOfyssbWDDLcJllX4fo6snpXM6Gk8AI27UldKLrSwbT8DE0Ozgrbor0yU8PQ7wc0ajvHhmkaw/Su6AiPwkGEH2KXiK/4WZ/eUfZx5hDUB+VntAR63SyRgIBr0E1LvSragNvhwLLlB5jLQsdxkvhB5wEivKMpJoMVR2n80hJCNcWC/7TqIRNd4gAwg/pgJ7vNsgOuENZEEpWVb7Xp7ASAaOpkJsPWDrmnseXucJtFiwNnAH5zH452rwWcfib3gAcsM9aEy3ZqpyWwi6pTjQmYXMLHCegHMVMHBQcsaRLkltUuQytkENyBQ6zbmfm+PQsgjQNAsGD2jha3YpMdfk3NcPhujW23p1m/kXC+o19mZjMyWx4LP3gbbg0jULpGDDpcL6bOXxVZDOXPHZwhVKFUDvV9RFEY+BPAHX1lQA8Xmm6OiYEB+5kilD2yUo4ocTVkuQtgpphRgeKPJshZ1itxxvBUBWUp+70YfBuQbY/AY8KKS5ayOL09TbyWGTCguAhQxUfs9GwlXbzvj3GBzV+QEI4T8YIvRcgc/M7G+KyAOAXwbwLwD4VwG8vskjfGlm/7aI/HMA/g2wCPyTAP6ymf3APMLnwyf285/9AhAUdrcn4cMMWFZgSJDr7IYXAfXAdrfUCpjBhgg9z9zHDxF1cJ15rRysE6PFLSosBVhQNOM1i4Jwoa25Bd249gJCioMiXTK1AoGvAXO5sAJlpBqxoQcdjWjWZpdKZaOgqw2b1rsmwXCqWA8+gzW7rtxCVDepMQM8yJwLi/Vk4qZ7MG9ChmlrNpaBvYB8ICSoRRAv8HBVNj/XO2B97luTuVGEvffhtmr5Ge+qcNKuOzAF0lFpOX6XOetet8KAwN/PLzKJO9n35sH6DS5XpVtTckclIXIAAPr7O+SPVoSxsIPv3hDRlYCXL+4QHlbs9ovfo+ykq8OAr9/dYb9fsEsZ1YB9Ymc8Bbr3/t6b53h5f8EQCkpVPBsnVBMMWvCdz1/h+d0VHx3Ovfm2iysUtBb/1c9/Ap8+HPFiuHZ5cXTJ76gZv/72M3zr7i32YX0iBR4dRvzN0yu8Gk/dYryaIGnBQSkl/q3rK3wyUEp8CPMTKfAvPf4sXo1HfDa8xU4of14tIKDiIUz4lfNP4dXwiA/CGTtdEVCxeCPsWZjwZ37uV/7fQYSeG9Aix44i8htgtNiPL48wKOzZHeoQUQ8JJJYYdAqUEgfh0noMKPtImG2thAiH0Bt55ZBQB4UUQ5gKe1ix7c8E633sy9wwFwaeuqV5jYJ8oJ9Ak/yWnQLC57RwVC2AVBaCdS+AeWiqKxIbdEvoz/f83kgMC5/XpMJSGafWmpzU83NQZ+9L5INsWwRQuVg865Bx7DffVYDzAFzZuMB1A4C1vAP3EwA2lIEjD11DUAfrjjlt9dGLnHgP4+wrlsjmFO2x/MMng12UPYtUGU0O8PcTCV9lopQ4xIo8c3vQmnEtZ9CMy966BFgQlBwgSgZpGQLWGHoAavYCoWoo14jZ3XvXEpAdVmtFYp4SrkNCiUr33mZQI4ZlijjqiH1a+3WdSuz24KfLiDcpuy34U56AiuHNZY8xZLwYri73LU8KxVcu9305XPoAHzXj5N72X853LDi64uRfLo/v8MV0z6Kka+cBFFMEqXhXDvhyuacQCYbJVqwWsFpAkoJjfRpSevv4f9QT8GDSPwngl/Aj5hHeZhHuhueYPrtHHZ0HUAFdKvRA/D9eCtZnkX4CjjvHa/XlqEDXSl9BP64FSGe+Fo09OKvfZgeEZXstU8fkB94M8eoNxAish4BmW15Te23OhutB3NSDfgNQwpth2vD5Gl0UFMBtQuZsnw8bT6ChFs00pA3iLlTyAtF8BUrD+wd50iztisOdcwGiR2xZWw6aqyc5yK3xEsRXJ6M3wHaVe+3WH/B+WA3ccsg+wxJ5Ah3H94GL3Y2fQPcG8C+9CCQViHrjrwmS2nHfRrXniDL/z7IASqKsamWDjQtBuvoWQUlkWcaUgVmRQ8JFgHWOT3gCw7iinhIe5dC78cdQEAJfux4TrkXxhaC7+YYbQ5L1OOKNGnIJyIXBJiLWIb3H0x4ihnkfsXrxaSsVAPj8eI+1BFwyIcIG37VVx5fXOywlYnATkqXBgWL47mnjEDSp8LWkvsr4/fNzzCVi3kUEMH9gqfHHJyUWkXsA/y2Af9PMHuU28vRrv/p9fvY9e47bLMKH59+2+YPUcwfIExB3/xHUQTG9CN1NOCx8l22GVSz3m+IwzJyFaySjb7lTJv10ngA71jXwtcoArDfR5m1Q1sBBX4ZNitz1/lE6nbWMGxcgerbdZiaC/n+A70dkwt8rctC3JmSY+L5d1OPW3xlc3oeJBCFKqK1TXGu0bixCLoD1/bJBvCnpXgTdT2CDEPnNWddZlCE4zCd9Ty+2NZ8aHIuZHfjb9F8zdCVfqYGeewaPLvdNvmP5ZRHI7DCdKy0FfD8rQpjQrbnEe0YNCq2FuQFwN2OJNAbpct+i1JIAUJQt88BAV+McUBZFVUJ86saethiDS4Uhp62IqNIabEkD3lV+jqbkUw8vKZeIU9hhLaEPhux8gSCG63WAiGHx49XkCenoNPHGuOUJrFURxHC6jt1huBWVXDfewNvrHhWCqUQMLiXOlYXgR84dEJEEFoD/2sz+O//xjy2P0KLg8rF2c454JWW26fF1Ba4fSdfshwkoZ3UrLEZqt2hzqfQQCJObgRyVfgJ36CEg6dE7yglIR+YOLA8cUIQlWSC6ZbnzBLjPv53BKc9dn1nH3cvRjSED99WW3Cm5AQHThmpEb1pV/wPn1sP9AePFC4jz8EvdcgpsqBAL7OiDv6OrN/Pcwrz6ykYqIdLYOt1ANw3plmdqLmph16mOPlu3nMAClAg2Zqsfr6AU2JOFS/MTqOIqQwUKmBwsQHYegZk4t52d7XBRMhWVLMi690JzjWyOTfQdqN4wbVuYsujmd1gFZSxYm1TY0HMJGmfAxoLcXIiyUqfSOAhqwCF3AmPNAglEBMxhUzvk/vnywsaleWowFLRH89yBdd7Ow+ZAGHUsqNeI0xJwduKSATReEepS8hpwvQ49EcmMNuoqhjxH5DXg8bzDOHD2LyZY18hVyhJxngakeI/9wO1MNcG8xh+NLOTd/v8SwG+Y2X90c+jHlkdYA7A8Q4/Watpy4ses/PkOnRXHZTBv8DIQ6soHQx1bY0ygO18eQ7A8R9//ciYXh02MvYIH5wm4PNaiS3AjC9R6X1Ecu7aoKLNs1t7mJh97ahUySKElbh82F6ChOnlDe0pwuMbO1bdUyZxLtvEEmmFnc/z1UBPzsFOAn51JxoBlPA0YBTaTEXDl1B63rsPtGvOOlP6eT5SEX+MJtGhzyfzdMAmqW443wlLD6FuvhO5C6p4IzkNwy/EW+W2LUkrs+vlwpd9AUQ6mYsLjAHCln4CudKM2BPIJWsz7DU+g7jjg1gaTFkG1sEV/u2+/OGfCWnz4Kp2MRegTG09A0MNZLXJFAEUnLkHB52eXKzdEZd6KGlbK2k0NaxVgURQEko9a0zQrijM/cxZkiVjHyP5H1h6kAgB5CZjVMA0JMZYnJiXf9PhhVgL/NIC/AOBviciv+M/+HfwY8wgtsEvdYKh8x2Wo+v6YKUHWHXFhgnURNFtmXYR+AgO//Hy/QTMWPThzV7Yl6t1tsy10P4HWnFoOflEVQKWfAMYmNKqoB+kOwHUanGrLL7jufU2eDPZGNymwQ2V15xvsocLUo8ACyPAz20giyTgy2hLdZcrSgiiCb9J9lUBiPByKJATXiD5NSdjPQ9gIafAUHXv8Mzt+D/A74HGDreJuST5QA8lLzbykbcW6lNjlygBf2ipXFabOpHMegbjVmGZBXaj5l0Nx1yDnCSyteUqYTe4yMfJrQjp6ZPgiqAYYorsJK8LbyNWYoyeoimqRoqZzQjirW4qDFGMT6MuZVOYzpX/h6gO4unT3+QI7J8J5Jp2HUAFY4z+s3kFVbH4CO3MXJL/3ytPjGHwF1QhdRmGUXIIXci98LVatCKPVLoHXroXf+J8lRSxqkGtgwdv9CD0BM/vr+P77fODHlEdYI7C+KFsjaetkMXrqMRGKakQX4dJYIh1oy5uBph8uPhHlXi4MFeW8440fHVv354gbS9Z3d31WFPF9p0ekx1iQ395zkPp56Y6Eo5AYcNltxQ3E7/3L0GioMW0cAONy0Sr3kfQeAHquAECdfOM/ODGpS4nVgJ31pemt38D276dLPvMi2X6/7r+2L5RtRWA3Gn4AT6zI2Gz0AmTgimWoxKoD/DzJC8AqpDMfihcwNgrE3MT1qt2kBc4Jag3aJiXWFwty0yQ4YUkyt0pWDfK8ohQ6KItfj6arr6jQB0PJcC2GoDqsa5U8BblnIQwTTUvszqAQKnAD9Q1VDekxkNq9AwBDhSJ9kDGvAXIJSO98QBKg4vboowXlcYA2W3HvIUEUVkhK48DkNWaBY+Ew5etJ9u2S2453n8ixbgxG5fEwua6itkauf/fBgML4dBMQBfuGx/shJR4+sZ//9M93ngDF9AasmTyBywQAsBRhh+Yn5kvgIUIfr4AIbIywkRAjigFRKUdWAKqoQ3CsH+QJqCBcV8f1FTY48cLNKeqgiKcVCIIaXOHYjjtPIJ0LeQSxbT/Qm5aNJ9B08zVIm4RRkmA8FqwH/5LcS7HJj2v8Gk8gCSTTE5AwnyBeXDjVmpJX+FbEeQKrb6Pc9CK6Z6GJ8wTumfxkam45zhvShP2D9d6QnxOFCSdFM0Q1NcSzYnlZupsTbdNaMaT2nzyB0pe0bRneHG/sUKBD6V586kxB++4I+2BFGAqCc+CbG7AIpcLxkLE/zFz4qDsJu1T4q3d32O9WHMYFZtLhvqgVQSp+791zvDxcMUY2RO7iggrBoBl/54tP8Pxwxcf7M1QIM+4Cnz9qwa9++RP49P6ID0faejcFX+MD/Pq7z/CTd2+7hXiTAjfJ8HdOn+Cz3TuMmnEIC4pLfXe6QqXit6eP8CodEaTioAsKBAGGg874G8efwcfDCZ8Nb3GnlCIXX23d6Yy/ff02PkmPeB7OeBYmFFOsFqBSsZMV/+LP/dr7KyVGUNQPn9EvYMdTklyha0FNASEFWAqoQ0Dekwykc9ksxZ0LUPaRngAGxDNJQDIGIHBQbzwBjyZPSoOIQDJQvlPnEPDGz3uFheQFYYsuDws9BIjxO4Z9G13ufYvuJeBIQmvCicElyqFnKZpS8dh+t3hP49YFWSHIaUMjaLOOvk+v0QtAYh9AF2YLGvtS5DMM3jgMTTvhK4F14xS0xGH6KPrAdGehqoCNDiEGrpzMzTDatgWpwiZKiTVVlCV0yrIMBSFVlNl5AqmgzoHtiNWLwcq9L+FiCnJ6Z1+4BM4KzC6Kad15EbBBdib8pmKE45bUi0VQw+U0ImrFkgJKVZzc7jsIj5kBybvv4lJf+PPfHhkPXk2wloB9XDv8pmL4/ESs/oPxgqUG5hKETcb7B5dnyKb4aDzjq5WcgdGtwwHgD6cHLLuIhzjhNe6Qq2LUjALF711eYKmxF4jVAqaasFMWqb9/fYm5Rnw2BFzqiEsdnxwHfu37Dr/3oggwd2CPMm4W4zpXSI2cIVWwPiQODOdsx6t2Xn6YFPkQPEqc6kNTPlcXv+F326AkLOjeA1U7T6D5CURX+tUIlCF0tWJj9SVP6m25A3w+YIFS4Gb2UdBQhm2VoKvbmTcOQMCNHFigM1z3z9m+DWzJgN5Cku5o3Gy/wrTFnNONmDN2l/ya8T0HNiq7ieu2BYU5kajuKsVL7mjTtgGNmiy7ghq9adm64wW0vEp18wRoBKDqb1AASbbxBEJT/W2oRBe6+L9LDrSCCwVmQIzVRUocoOscucUKbH6lIQOLIseIOVbMU+rOvaIV48h+wDlWLAMVe42JGAIzCSYxvHHp72ZKwvNaLwOOaVPwndaBuy1vzJ08dwAgvPf1R8sdaPyApXAItqyBNzOzBa4lQWE4lwEK8gS+upLfvA8rouPB5zz2IvR6vkPw8xg1YzV6CwBAeO9jyKLi8snAQSxAnA3ROdFlEJS94vpyiy4PM/qSuUZBnA3Lg3R78nilIUhp1Nw7xfKwwWPpwhuOkB8H1fxCOg+AluVs3KjTdNd7PrcPYBftoG6DtsGbnQ+ObWnO2Z4px63AiLUZnf0ByYQNu59A3vwEqjshx4ujEYlL+OahUHa1R06VgQM5HoPzB8hdUDGiJLvajUXNZ95eDLx/UrpNukBm6bmE7VGbYGVW7n8LNosx35JgUdRVuy15PbAn0k1Ksnv+n7lNs0PZvAgqOk9AroEegnseF28O5zUSXissPsFFMo0nsCx+HIDEihBBXYqBXXVLKKsiT9LZi7IIaog4647EJOcawLUkcg646g7rEnvBKp5yJGpYTwPeCHCeyQcQANOcOuR3vQ7IVfE47XqRmRzCi6FgyRFTjhgDC02piuuauAo57bHkgGtO2Me1ewWcFq5sHqcR53XAV8MdDnFBdi+C8zr+EYgmbzyBPdA09wwXgcdtBUwf+sxlLALU2vPmDrMQYhx4g5SruFafBWZ+LtveuEhPHqoRSAP3xuuDdWZeYwGSJ0AvgrK3zgvIB1fcKbkA68PmlFxP0ptd6Uia7q0Cso7aG2nDOyXzb+9Oypmv3Zp86agsEoN39TN6wjBzBMKWJxgaAoAuiOpL/fb7RftgZ6iJdQQAwbo4BYabKHVHCgpaC5wD1WXbksWtydHjwZlKXJ0ncJPnNyis+sCKRq+AaevQl6gMCfHAlXpObK7N7M+YkjRlByIs5RogE7kGdRAU76w3xV5dnUeQuWXMTUknziEQX/E4bbjsc/93C0ft1mhihOnAz5hnVvFbCE/GCmTFch6wXhNdl4rCZm/47QpsCjhOEadIE5NapRequMsfqpkLAAAgAElEQVQoq+JyGhFSoUFKDj1Fqa6KnAOO5x12O7oNrZ6gBAC1KK7zgC9CxWFcfDukWPIPHubvRRGwwIHIaC3z2Z8zak1bg6vsnEA0upuwcODnlYO0OEuOhcPJRSZYXljfC7fUojYbA+4nsOd+thbpyjkOsC13AABqVFKRm8FnVRaIA73wV91gsXgJnQhkbpNdQLky1GBH3XB9l7+aU3OhBjttsF3PFXDIjhcOvWsMfhQ8MReF8wR2PrO2VOKbh5hfl2ZG0r4TJw9xtWKk7Rq6lNii+wkULzp5sxy3VQlxer6h+XmgAJjpdoNYHSN3y3F1WBeh+yXIqs4TgDdbHX5syc5TQLio6zUI8XWpcFbYOZJH4CsqA1A0cDAutBBvpp7seQTgjpbjtlDG3Sy7LTG3AENlJ1+8wdn9BLAFlvhxi8T9e/R40e14piuWecKxBUNG5DEANQTkVHvCE9x1qWRl9PgaoMFQluCR9izqxcVYy8JtzrJE9lq+9r3fPt6LIlAjsLy0zSLr3twJVnpuXr6zTU8PbBrtAEpQ9y5g6Z76TuDQgPWZZxI4AaXc9U4bpEayAe8zGu213m04dlkTB4fvcy2Ruy6NJ3Aet9RgAw0tpM3ENzwB9xMwX95LYgBJg9nQSC4NQ09EPzqMF6yHV3RfAIQnEGMd8QQ+7NfAYUpzC/e2Gmi+hK13IA27XrVbY7fU4hrNYSlA5kBuQdm2WM2KjTAe2Xk9F8JhMp0VFW6r3mTd3mugE7GgVkA/XFFmzm668JisnhhkCv1gJqJwjL59IgRYKwAEYv0mCG8jhkdB3htzbY1S4/BsQZkC4tvQ3Z3MgFoD0qcXrFMEjonKStdkVANggVLi00CobnIegQK1Er6VQ4G1VKZW5EqjB7SLxb/MKdUNBqVXwIbGmwVupcx5Ak4+AsiJqADkHBEyUPYbTwACrKtiBSBnDz/5Ojx883gvigBNRW55AuBVEyPpRiNnWm9UtYaTNHeVOsDG4oo2dD53GCrq28BB5vxvavXJFQihor6OfcBDyD8HAI3OBX+dOs5PVRwhqxZw2QYRWmEQzlIabNPqC9jo+jpPwFcTDd+XsWyONo0n4IUAYiQsdXcgHrN2LDgm375r48/bIEXwAJZ2XBw7bzyBoXaKLQTdVGXrFdx8Ya4PglKXQKzef7dyC2EemNq/Tz+fhvXXYeMdtL6gZIFWgYaCYsGJYf4S1YuWsbdRXXffGI2SiZ40Il97DupW7ABnMYqhKBu0bRtTRboKUQIpzGHS7kDVtBExFaxON46nzZMBGbQkHxbkWaHXwBWOP68z9u5pOS5ZgHVLcFIoqlQvwtxSovJzsVclsKFsKw/33GiNfzFh4W62aH59ekLUTXH5+uP94Ql89gtADKh3eyAIJFcgF1iK0MvERl2KqHfuJ7CyI2pDhJ48unxMqLsIMYOs5Xv8BOoY6Sdg5stcRTyv3U+gjOHJeZVRkU6ZpqLNTwBt4FFqnE7FOQK+lJe2L3U/AVc2NsZb5wkMguFYu+V481LU4jBhYjBqM0itiRoJqeh+A/FqyHv2HQCiEpRFc5sUZnoGNGlwmFqDkr+b9+QJtOdqab0SNh3XO0N+wRk9HomStKVzuArWF5WknyLE/b0JacEQLoryvNzwBKRvecgTCLA9eQKt8Kkvae0Pd6gvV8SRzsS1invu3ViK39FPoGXyiTC2PIaCr97e4+4w4zAudOuNuZtxRucJfHR/7tDdPq7fwxP45HB8kgpcTJCk4m999Rk+vT/i4/HU/QTYvefv/sbbT/Htu7d4SFOX+za+QJCK/+P0Cq92RzyPV4ySe2Bocvz4d6YP8OnwiEOYEWCdJ6BS8StHRo9/e3iNhzBhtYDFqBgMUvGb10/xanjEx/GIF+GMqQ6YLCEJX/vP/8O//H7zBMqr56hjRB3bMrBCSu08gbqnYUjZBcAM8VI48FQQorLxcwioidkB8VroNjxGagFUsD5QFqyLMSNA4Q0nDuD1ju8d5kq5715hMXVTj5Z/GK/sCeSddgiwJL6GOqEnOyRZwwbzoQLqs1s+cI9bB5KIWk5BLf68kYO5+Q1o2QpMMzK16M1PX05L2tCI5p9YvGHZnY0HogfkVdi2EohkyTUFIxx+BdCbiwBf1wbPSQTogLRq/13buYPT1Qd2rFza++pORucJTAESKkIsWOfQbQQ0OIXYabqlCMoaPKacQhm5BqzB6DzsgiZR6zDfek44+6kvOeDsfAIBi8TlNOKNVuwH5hLEUHqRuJxG2ox7VkE16Yo9heHt46F7CQAkIEUpHef//HQPEcNHu9gDQaMWZJddNp5AHgMqhNsWMax+/M2yR7aAF/ECFcOpjEhSsFrA712eI3f/APIELmVA0oJiit+dXmC1gGqKY9l1nsBtPsH3e7wXRcBUsbzc0U/AZzx1lx+adRiWFwO79m1AqIuI/AZe78gTaFJkYuxk7fG49oEapy1gJKwtQ0B7wnHjAXR+QJA+8KRy0EIcr49s7pXRpckzHYrLyAHMPb30mPMw8/yaOQgUPXugZEE8O8dgxEY2ctSjLV/LzvH8gbNuTej6fwvuJzCAPYvUioTBRLqgqYWANpizrSDKjr0HmzYnY5StP2ODsbGm7ifgKTioIE9AK7vivo1pEB6A3hcRIbwoQngNHliKBg8CfRtQciBMaNx+9SxFf82m1mMRAEJYgFUppEnxKU9AmCpll4hLHJELu+19GyBGngCAN3HfITwA3RdgvSQ8pp2vPLwwVu0S3/NlxNu0kYOKKVaPGgeAtxeaezSewCUPNx4BhvPKm/CayBM45rEffzPtPacgd4LR2W/aYoIvp3tUZwnehxlzjZhr7AXqmx7vRxGIgssnqQ+aeDXEq3USTxkV15faiS9hBuIonUwTD4r5GYuCVC6jmwx5iIL1TrA8F3RT0jPQqL3pzKCO+WUrIOjFxgIQphuegB/Ph20/Tt4Al9YQXyZ7I6wbhOy8My9wnoB0vnxzWO7w5q4t/xuc6XLTcVvSN3cgnbe9+vKCLD4TogF1rJBj8NcByp5L/p47cNM01ObbD/SmY9lvvQr15lb/vsxXBMJGq3qHvhwqNqmwueOvIpx5scoDO2RmbuTq0eR6pgOT3WemAyduG6p3vrnVUOCQSS5yRd26MDcArtKToRAuMxAV8s44nFevQ0HxOPFa+PyS6VzEiDvyBCwEnM879iZyoHmpGsJYIJeAq45Yl+grEXRGYwgV62nAazEcryOCr0Cul7H7DSxzwloC3l13GCLtzc7TQFq0VuSiOM0jxpiRQsFaQuccXKYB05LwOO9wP5A2vNaA40wewHVJOC0jXs+HnoBUTfFu2fXVzPd7vDdFYH6uyAf0PW8eff+741J8eeGElwKU2WdP3xuXkdkCdWAjpUbpoSKowPqMg7gHR2qj8wK0HQPWe/MlufSZ2QIQIzkGPXfgKjdUX5J/1mebArKThMLXeALJYbjQjjPqa5t9OWgYGgoWwxPcM4HISPFVQ1MN3saOQx3b7pbj6O7BrUHZmlTNc6DzBLyD3yVobSACrvzj8Y0rIK48BLvk3pCSLL1h1RyKJctmOV4IL9aGUnhmH9OQCG9VAcRl2g0+09kVgjN5bw1irVcPBm2pvgYU5bWyxhNwzwImD7uUWEDrc2DjAcCBJS+GNQusBhaI7B35LgYTlCVwq7cGwnomFGEVwXoZkNWoi1gV5jwA3TGS7bIqrrEiDZnGJiuLZBwzSlbMc8IwZKRYsObAYgf0pKVpSTjvElRoWDKvsaclrSXgOI24c57AUgLmdduafL/He1EEagTml84DaF3idcPyw0IyDzMGeDOGBt24mQapsryp1wfvCDvOP7+07tAjxRhrbj6QI8k+Zc+ufi6eyedL6zrIlitgjD3vbrACQJlLYCNnwWW32ZWHa0Te+XuP1fF1Z97FinQaevCIJbaIKhz3DwacnVbYyUF+Xqlha+p7fRYYOg/bNoANVM7tGOnezEl6+7wx9wbrIaNt7947zcaiU5NrGLJw9o1ul+2rnlZIZHGp8FAhU6AKrr30LAACO/tu+62L9GhynWijbQdfTl8DwkkRFpKEqgXu/w/+BV0C0iPJV/T0V1RE6CHTkOQ4IE6yrbiKoAB0Gz4lIMfNstx1Z/piga0BNjHZRydKrpsfAfaFKxwITLSnE9ex8roA/XgpQi7Ewu+0Lu41sTAZaW5FynkEa5Uu476GiClW2JVqSnNx1ToHrGJYZvoJ5IncAjgRar1Ss3HdcRu0zFwN3ca7ff3x3hSB5YO6qfBgG5aaDOGsKPf1BmoCl9w+I+glfC8OanBeQUR+8C420HkETZ6by8DwjnZc4TwAJwfNI98ncJo0n/GbHLmedhsPwEkw5vvTOgQ0A08APBY4WKUz+m6ac0PlNyL83R5l1ngCNyq8Dsn5H0sVpeFQcrOvVv4xuI7gZtkva0M0DHXHWR9A7/CjrVx8ewKALMFJ6L/gxVDKdh49TWioQNsW+VtKEcgELukfKmXRdTtlnYWR4h+uyFPqbENTah241VCEFxllDW464qunhfBhtYDwsKDGijBHpFOjXnM1AQSEw4qqhngMXNnt3VPSFMNHGQuAOiXEx0AIMQGY/PjLC+bjyGCUprwUAKZsmL5YUI6JBXR2iK5SpmxmnSTFm4vpxN2oRbdeBwBYDZuluNPY+6pEyF3QE30PaoMGwe9hLgKYQI4RWvFHgCegYMJPu3k7Lm+QoaJY6iw6HucNqiOlpnndc2DEumHwJohDRv0q9iUcIjvXErZo8fWL4enx4F3mRPPJVQf0jLxAVVwPvpSbJaTzAPj+3vx6whMAdLfxBFoj7rZn03MTwFnJfAC3z9ydZtpNE57yALohiMsOe2aBHzcAjfqLW+ahvxYGdD06wMLSfe7D9vVsx+l2RMLTVnhYFGyzPOtVwDoXoNx5wQFfu30mXQgHWpWuGuzXZwX5IQIet+36afZeROMstH+DxUdX/sysHefrif9dwa0kNQDb++kqpDLDo8KcY8KV3sYO1VUc3SgoIQIejNJPf+FxuS+obtHOc2jFDaiq5LtMYVs9uZ+iQmEvVpjTpLsBiQ+bHkXXvB59VdF6Oe8/T2D8xH7+W/8y/QLudpQArwVSDJYC5HQFVGFD2qLL1+qzrCKc6T9fDwPK6FLjhRCiXleaNQRB2acOIepaUQdFOK/0Egg30eUrr0nZKdI5dy+BpvknE47U5eFYvDfBXgMALmSSIJ1LtyrvxwBuO0bB6DwB5hqguwnTwpz+AGw4bjyB9tpPeAJeyuMEbyrCNRV8fpMVt7DTGoCw+grshifQyDsNPcgHQ35WIEUQjvQToPEqDTnWF4UMuSy8cb3v0CLR6kOG7igV7kzIymKLOQBjQRgLbb2CU4HVYN/dwT5YEIeNJ9A6/KqG85s90h2jx5uVOACoUO77+t0d7u8mHIYVBmAXc1cDNp7AJ8+OxPhdKlwhiFLwm1++wvPDFd+6fwcA3TJ8rQFJC379q0/x6f0Rn+yOAOB24qXbh3/n3Sf49t1bfDCcO3pwq+D77cuHeLU74mW8MDnYeQLVK+XnywNeDUe8jGdU084TKBD8+ulbnSfwQTx1CDBJQYHSi2B4xKfxHV6ECx7rziFCnse/8sd/6T3mCaiivrhH3W1+AvQLMNSoiGao+4SaArMBWq5A3Naalug1UEfuU8NEy/HoA9iUfgK0I6OYxtxYpPkJrPeO/V4NYobsuQOmHOR5x0GSrrVHmQObn0CzOA+Luaw5dAORbjTq292yA2bxzALH/HleDcvnMrihBWJAF7rsfA/bcgfEkYjUGonozcueauyS5Z47oM4haI2ywD6ARWxZBP7oDkVg36aOFbqErtZroZ9i3s9IBkzkDkgb+AaSiobKLv0UurtTaU4nfeYGalGYUWyUV/4uTBAiZ8ocEpl7QA/eFKEb1DpFXMKAGCrmNWIKsQeYJA/ufJt2uBvWjtM3yG5yN+BDWpG09J+3xtrjeYchlG7j3aC95h78+nroZiW3z1t9ydJyB4I7UM01QaUi+wV+vRyemIK+y/vOE/hiuqdBiK5YLWKyiFPZbceXh547cK4jJku41KEXkW96/DBGozsAfw3A6L//V83s3xWRnwHwiwA+APA3AfwFM1tEZARjy/4xAF8B+LNm9ts/6D0sKKZPDih7JcFnNgQn8ZRRgCCYX6buARAWQx2VbDwB0hiw3msP7AgLoAcWgXpU1FGw3GlPPY7TdpGjF4tuWW5AGompWyDpx0JLNRY2Fndhw9XdeTjvKFgK12YOAiz3jesA1/dT/Ugo0KFG8eORM3E6NS8BDx4Rf644x2BxolEy6I4da9quw7kT6FyA0IxJBWjJSbeBI9XJRY2maokwnw0GWQMtxYp0x+Eeeb4rsLM7Ca3tuPQ0ZE0FFujGWyZ28K3pHVxe22C8dY7A7JmL0SCBhq0obCjmJXQIT4JBA9hrcELRMtHcsPEEahVgClg04aSGZYl9ewQA47iiPA54BDDvVmTvuLeVRnlMOBfBd4VZArVuOL+IYT6OeK1b8Mha2Z1vjMV3R88dyPxZMcVpGZwxaDhOI5bK3IGoBUuNOC4jpcRSMZeIKSe8Hg60KC8Jp5XHv7jcYSoRS6XpSLaAucTOFXg773HMIx7HHe7DjNUCrmXAtaQfOMZ/mJXADOBPm9nJrcf/uoj8jwD+LQD/sZn9ooj85wD+EoD/zP9+Y2Y/JyJ/DsB/AODP/qA3sCi4vEr09jcua4ObWOaRpJ/rh0pyUAXCzFyCJvnNO0KMdeS+juEhHhgSwsYTcI55ufjMp4wmf8ITWNBdfbrt906wPAAQknLkDpxdhYMv74B84E0WBzYJTLclNwceP2txGTM54g4Pxo0XwPe2DgG2mZyBIeiNKA5y9K3A8qIiDs0gxVWLoBRZM1WY5BhwJs/G5T2EPYyeogsAasT8vTcjBd3WrO9fm3dAkZ7Jl33Wt2aGWoRKwJN/l8/YE6mO21sRRwACEYh7Goxac5V2y3GZlV6Gu4Ii/F0YC4BNoYelYrjpK9nmJ2B+L8lQsfrWoRbBsgSGl8xseOhYWBDngMt58xOoc+g9HZnIE1jmhBALalHkObBPNBSUS8Qbu+OKYSCvoWUYNPffaUn4Kh1wGFYsOeAy8eYYhoycA96lHQ7jHZJWrFXxeCU5afHnvpt3eD7Scm+tAedlYMZAUVzWAW+mAx4GRqtlC3icdz9wgP8wRqMG4OT/Tf7HAPxpAL/gP/8rAP49sAj88/5vAPirAP4TERH7Ac2HGjhI8wHsdA7o6jE68CiWZ1z6agbqKNuSObIIUGrsg3j08Eu3IF9eCLKz7DS3/bs3lYSzfL7f/ATq9db1h1Li4texuQt1RtxN7gCamKT15t5x5l2fOWxX0DMJTYHhrbMN99ajvltIKcC8P4vWabxWBaVBgAYm+Kr1Adk5BQ1tcHJUHTkgWyNS3FAFwmJZR0O4cbltsCAA6MJCEmaHAJuU2M9BFp6jTs4TKEItgKsMZfXmmPmKI7gjVDRgVZf6cklvM92G0dCYdnxq/AmqAOF+CXaJ3dCzDk6q0tDTp8slQubAwhnII8gaibxkpaeA8wgA3404f6KFkljnCcB5AixAxfMI6hxIVoLDlFmRp4iMiLwLWxECUHfkDEyrYg4J6z6SsOQBKnkf6HY9J0xLQkoZyxKR10gSVaUR67QkzGtkpFoOmOeENrqWHDHEjPPK1cd1TZicR/BNjx+qJyAiAQwi/TkA/ymA/xPAWzNr/MjfBaPGgJsYMjPLIvIOwIcAvvym168RmD70vaoxDah3TZ0SuzyzflMD7kyb2sDdePDtC6XOnTPc/IIMOP7cIA/bILakzBW4rxv99dmNui4qiUQHEkHKPbC1boH0NtDufMebvnrCLdQQL4lsQecBIHAQ9+jxd4P3A7gUNqnugU+kA0dFlxLH1tIHWgoxTo4ktFCPBiX6AG4KO2v+fBk87t3uThOU7dpDaCXexEA8blvvYfE+yFC7DBaGnv+g1w3rl0vs8KGBfZrSuP77DLtG6NxUiOBgrwr5YOHnmQLi2TvcKoC/tn4w8z2OEcNb9QAWshOrAfH5gnyN0MeI6JbjZQBQ2XUP9xnlFKFnEpXaygoWED6cqdG/OgQ5c6tTdpXS3oeVBCMD6hqpFizOI5jcb8DvweLW5DrrZtkmYKLSCkxZmVvgZKdCOSOfu7BQ2CV2nsHGEwDWA7cb+RLZk3GeQJ4M11Bx3WWIGKbLAFsVOv6IMWRmVgD8oyLyAsB/D+BPfL9f24bGNx7rj9sswvj8pTP2zNEd6zdGTXS2zXeNOCC+XJUe0hHO2sk+jUcAn1HCFFHuajfeaAGWzZiiTKnPnt3fv26y33oZNvgr1q3Z5XClPYYnMBz8mPi5Uw5883zfnz7hCbTjqW7LcuXM3hSLEC6HkXX7/2aKA0TrpKDtIm/fhkWiIQBXAgiNJ+D038EHeNs/K4B8c+63NWMRmBdVU25bxItQdye696LS/kjrawiqKcy3fq2IAHwdNUFIbO41GXAN1qXCZoTpcqUfPw1JiFpUcMCJEk5Wzy2oZlARhrIuShhPI8JMnkHZueeiMKtwKgKzgHD2VUogdFkBDLuMyS3PdPLJyq8DBkD3GeWRWeZS6UcgxRvQA7/jlh2AFTzf5jegsvFYihfL1m8p4ryXrUjABOKy5NquMQATxdxe55S80fojrgTaw8zeisj/AuCfAvBCRKKvBm6jxn4XjCH7XRGJAJ4DeP19XqtnEY4/9ZNWHtwvwMAPawAC+doZ42YKIoAE2jLFsSANGVO+27IFYqUkFTSdzK/vb8g62/E0ZMRYcP3qOf0GjF9QY1YNY4Zqxfw6db8ARPLLVWtXsBVtoYKA7MgTaGKUOgzbZwL3lAAc5/a9e0TXgod94bKvcFlcB+uzPDkKBVWBlg1oXmQA9ALUEoCAr3X5FT2cpSfmqOcBGJEIc8swOtlUWCsMaCsFeTJoLXKgQa3bPzQKca1+00K6ISxfiCu71cktjdbcT7OAPAFPzelUXdzyBNxPwrbnSgZC5s3ODIBthQFwO1MLB2TLCGhafV0FVvzzCboLT1g4kKsZ1FjFyBOoMKWnf7u2jegUPqoosULOEfEqvQCGSVGLQR5WlCIIj67C9FWDGslIeJZhl0DfAHOykQnUFPJ89i2O299n7UVXVmGmwUxEyop6+pFfgPwjFAER+RjA6gVgD+CfAZt9/zOAfwlECP4insaQ/UUA/6sf/59+UD8AAHbfXfEn/sMvNr8AEcjCnYalAH08AkFhY0K+H9yNODu+HxCO7zhzHgZGl2fQj0AD9PIIBAFEkO88ujwbtETUOCBcLtu24BABoX0YqqKOinheCCEm9xuQAJ3NZbyCdFxpXZ4UNWr3BMijIl2cQxApOYaEvp3JO5qg5h0zDWhbFulz8IQn0HQOEWHmSqkhEmFyB+FAm/XmF9ATlLvikL2SsLQ+h2+XAunYgDc8/dzKaJDHSN1D4wl4c69RcNPnCevzAnux0r5q1k5GshYYc5+Bz1ZGj/dVAc1gMCtkV4CfnpGX0E07RYHyu3eQDxaEDzLiZytKUTBd/ilPYPezV0TPHDATTwcmT+DFRyfcfYv8kRTKxhPQij949wzf/mPfxfjHc+/KZ1NEqfitrz7CJx884ls/9a4fS1owF5qBfuf1K/zsT3+Fj8cTohYEMUQp3dX37x4/wrf/obf4aDg94Qm04783vcCr8YhXw7HzAxSG2avZV8s9Ph3f4VV6dLdgQohzTfjN8yf4ZHzET41fdZ7AuY49gfjvzx/is+EtPo3v8BCuOJY9FoceKxR/6RvG3w+zEvgMwF/xvoAC+G/M7H8Qkf8dwC+KyL8P4H8D8wrhf/9XIvJb4Argz/0D30EF9cWd+wXQFERnBTwAJOWKckioY0DeBfoFBEKE9L4zHttHNgUXkoEsKmLjAQyK9S50ZaBY8xHwPWHSjScweQc5Nh6Bi5p27lUQNoUjQCFJGckVCAs6T6A6j6Ek6VFYgU1dNioDsfR2XFfrjc06bMWgIQDiTbu8az/3Zl/g+1Yf/C13oLbocnAGrZHN0ppI9mn5i11HoezBNDJQX4X41gPi0uRbnkAzDGmrg11lapQn49QibokFFoBd2XgCoXYXKICNL02VzcyikJHd8pJDuwAkBnn0eB0KLkvsWTUiwJAyeQJqGFPGdUlPrMNjqJiuA96mHZ7tZiyFXgbFl1TXC3kCu5ixj2uX8c5uDX68jBgiGz/3ccZS6Zm4+Jf09rrHPq5QGMaQccoDqinyDU9AYd1o5DGz49z8Bs5l6PbjxRRvMt+rmuCr+Q4qhlEzJktYLeDkHeu1Bnw50xL76zyBJi/+pscPgw78GoA/+X1+/ncB/BPf5+cTtlzCH+phQTF9vEc+kLkX5oowB5/VePHml2njAcyGOjgvQMQ7+AHr3qOuFoNU4v9joPnHcq8bD2Cw7gmQLiQKzQ1CrEAeQxfFxIm/uzyT3oTMh836K+/J9suH5gbky9bItW57nWb+ES/oVuP87HDfAkCzIF58gDd8X9Gbh+UqhCT3DinWbWbPBUinpzwBXdA5/zwPP3ffRlSHJtUhtOpIhe0KNMceuqonhq7kPQsARhK1zK3BddINhXA839wP0haFTITguoMx+D3UJWAtClwDP+tAEVaNoKKyBCoOHcKTVIHEBqRlpvXmNWwGn0ITEkwBqxoeww45K3UGvFUQU0Y5JjzKAfOayDWYEyBuN+c8gS9ueALXOblXQcX8OOK10EPgtR6Qq3apb9SK44k8geMyYgx0NPrycujpSJd5wJwjHtcddmHFUiNee57AGDPmHHFaR7we7qBSsdTYC8fjMuKaE64l4UW6okIwl4g3Cz0KzuuIYx5xziPuIqXEc014u+5/4Ph7LxiDVPoRz0cFYlKE5n4zCMQiri+Vs3wxhIGEorxrUF+grfiO0Jtr9+MAACAASURBVGC8AoA4nBewHqRHl+vaBo441q9PeAKhyZSbcCYCdaClOcDjpfkBoPEKSOBpXHbusR1udJZeGb3p6cWHDTUnAkXOsGQL+v5c0OE7E+caRKDkdv5uDBLBGbq1JnxgMzo8eIioMwfF32uoQOUqhGpI6+fVcPbiScfNcERWQHZbY7Wbwhqbbyxs3FeTIsxjWNl8gwhy8mZr6wcAsCsdgy2CzkbqzrgClImGJD34FN5Ac57AOjvG3/QJqaIG78C730BZdbMVHwu4oCWpaF25yigX7/bvClc3S8DlMkK1olZF8SZlODDYZD4PeJ0VacgsRAuHUUwFeYp4q3uc04DdsCIXRo234+sS6SGwJOxTxlICTld+eSmSobiUgPM6YPBtyLsrZ/slB+RCgtBpHFHB3z0uI6oJSuWKYykRh8it0FID3syHPwJS4iS4fuR+AgVYF3FxB+3H8yFgeS4bDLWis+FqIqRIjjxv1vWBcuDiLL35ZbPrYtMqT04GCnzv9Q50MxZvMN3Aj/HsuQIDbzzNQFfnAcwdeFa7C0/vFgfD+JUi7xtPgBBk3rfiA4yvt9yBFtXNf3OApXeEvxpPoA5uUJKIAlAsYqh748yZwMEf4AgDZ+Oyr8T7G1zY1IEu6Kk7g7hrb6cCu7pQF1KbNbZOfOt0E+nocOLiUJh6oXDbb52V470AeiXOXw2c9ReFXj13IAImlArbnoGwNrmUeHbil3FbA2+w2jkinELXMzSpsOxIOsrv6AocmpmoESXFWFCvEcs50q8ge+GtQqmwkOlYgG4ZTnUpURWrgvWaaEgykdAEAdYQgMqUohXAvEu0VvOVzDpU8gjmgEsYcRrzxogEsOzYGL7qiNO4cuUxR65kwO3SukQcw4jjfiBquiQsc98v4jIPeBP3OAx0IL04p+BH5gn8f/2oEZg+su62A+HSuM048UyeAIAuENMVPUZLnXnXtPDt9wjBKf0EdtUhKcH6DDd7YeUg39eOi68VHWu3EJDvag/eLLcnAQAIxIjHSirrwc8jGOpx6IMWbtndlXtDhb1LPSgEwWDK97BY+f/Hp9HmptKjyQ38bN3teDSYz+4d1mvFSoA6VOitFa+6KagjLmVnW1bioowb84BSmPRtha5Cs42HDHGZq5RNGxEuyiX5y4VbATciId1bIKbs0r9YUBfttmgCUq5rUYQXMx2AckQ8k3KsBZCrolRBejEzkONdQjo60iFC8o4FxI+vWK8J4aJIR2UikwFanUfwYkFeFPFdhC5eICIHWXgxkUV4idCrdgkzsxsU4cO5Y/N2DTz/KuQBVEDuM1ceAMop0XNh4XHMoZOgLAOLb11aynMLTwGAaVWiYOdESNa3Uqv7NWanKudz4krItQjr1XCN5AmoVlzPI2wO0N1mefb1x3tRBCxwJu4e9QEg152wVo1ho7EWAAEo1SEvBfQcOAN+vdiNBfk8oO4rf9cbSBBwf6mGehk3foDzAABSQGGAHUOnz8Kfo3F7L3sMG4ToXISmiCvOPuMvbjNUW3Z3fX/b0u7cmdcfdP/ZIEQ5lH6DAa3I+X9iRT0YJOvWpIu3tcp5BM0o5OthFIGdarG2rfHvY22++H7dKpy88zVylr9mjwMXly7fzEDV8XZUQX3m0FZHDbhnDzPt3LMbcDSYz+pWKLRdb2cJG3xSMPEAap8wnHBGObN1HoEGv28WTjZMQhAUNQxDQS0BxRwxyeD37xHlw7iSTLSQn9Jt12b2Y2IqWCfmCaD6VqkCUOUEcKDHIYUR9BMQY/e+y+Urex5WQucJIIOENecY1HZ8Vk4cN/dRXRWzb8vs4rkD9s1D/f2QEqeP7U+9/DOQGIHDnvHiucCZIZDHE6AKpAg77GCqkFIAEUKI787+74h6t3NefoGFAD1e+NygsCGijrwYUg11CIjvJja5VFF3ERaJAABAGQPSkRChBcKAFnwQKYhcHN2SPDna0IpDFKRTZsiqx5bXJO5yzGbm8Fiw3mlXIVIXvvUshlNlQzOgawD6cYcQ1wOY1lRAFaKBtlcDG6i3vRBd0ZmUYWYfY35pPfijDfBWjPO9YX1g4QhX6XqH1kBdH7gCEqcHW19d+DU4lC1LwYsvDFzqF/pBDKNDwYYu5FmOA9LdijRkDLEgeTw5AIjQ8Xe3X3AYVgStuE8Llho6pPf56R4PuxljzAhS8WyYsJQIlYohFPzO8QU+3p8RteAQF4xakE2hMPydt6/wcnftUuFmHb5aQJKCX3vzrSdS4Z2u3VpcYfjbx5/ATx++wn2YcQj0AbxV8f3O9AFeDUfchwkPesVqTBluEeNf5gd8kt7hoDMGKZgcIqym+I3pJ/AqPeJb6Q0e9IpiiouNcDI1/q/lY3yS3uJVOOKgMyZL3W24mOKf/WO/8X5LieXhnn4BhxEIzhPwvAAthZV0l1DuR1b3KcOSQ4TrDhBBuRtQDomx5inAgkLqbvMTuEsoSaHFIJkJQZKH7ieQ72JHJwCgjApdYx/kZaToJvzf1L3Lj6Tblh/0W2vv/T0iIjPr1HndvrdptWQ8ZWTJNEzMELtl5AE9YcIQMbQQbf8BlhjCCDGEGSDxByAhecgALIFsMbBwt+37PKcqKzMe32s/FoO19v6izj2nuXCvW+WQSlVZX0ZkRGTstddev9dc7GvSM7O5JOegMwMqgtyzZgWa63FNL66FIvcETmwuxdRwfWJpuQJUVC9Rbc2pGDRpCcmANFNUwB7bkAZVLe4aifqnQo5t+EnWedlO0rIP65SeoUcPS4OuUmNKNhfo9BiEojufci6s47AsgVw7UesaatqOZIvVyrzzBADQ7JCHDEoOzIJtcS28g7kgLmry6bnAO8JZeiRT+gWXMS0qI3ZcUIjwuo4aE84FLhVclx6nsKH3usMupOnAnjOuS4/ABW+6GUwFt6RDu9UgvPPW40MY0buEjhPWor7/synEXrYR74NCeVFc8wmYTOn37XYy+bFi/xW6WwwuOqcBTAVf+4KLjJhs4tukwhAMFMG+4FLGxhOI4vAuqdS4o4xNHC5lbI+//TYQ4V/KjRnpy0eU3iOPDhwLeLPF5xldFqSHHrnXBUdJ4HpnwR6Ejgh59MgjI3cMtxrW7AkdE8QT0uCQjipVDlNBDQqpZiB5YMSDuRUv3Ci5JYQmaU6D+QVUtV4giAsKEVrUuF/Q8g7j+DH5Ry3Q6/Rdbc6bSYhXtpybdWcvAW2IWOFCLQQGEXrszsTdzj+oRKHcC+iABkGSKO212pVXnkAdaNbkpWIcAzdTC1GtaIYY1Vk6gT8bAWirluN1SFlAXQFe9UOdN95pssDOE9h04RehNhiDoCn5SmQgZKyregFUGND50qTCIWTc5h7Mgpz1mOB9wXbr8CqaMbBs9jysk+h9xvU64Fsu+Oww4zkdkIWQzA/geh0ap+AYNmzZIRaHWP0CzrrAkzg8hgXX2GuOQOEGB2ougWs8gSWHllNwiQO24ptPwTkNmHNotuBbcZhLh6nTxf8hHbAVjyyEX82PmLMWjtd8QAbhNR0QxSEVxnM84pp6RHE4sOYSvKYDCui34wn8ZdzEM5avjCfAStbhbc8OAEYsb/1O1lkFeWSkvgpsemwPjGRtsbdhk8Jnyi/YTtxsvZXdpztyFxTnX98ocYijNJaesLbNwsD2pI/Jm3oKVI5/Stp+p6MuuDwBMJVeba3veQLFsgTqGa5Fi48CXglu3NV+FaIEdFFr91BJQYbDB/3edDCeQJAWMKLOybqrx6PJng9G+GEdfkon4Inaz8qD8gSoqCZCgsBd1Wwz9zbY7DNK4AYv8szatdShKMnOc6+W5KIWciJo8eRq5Q3QTYddMtjRIQiwMaLTFy+TvQk1VRiARNbJeXIoFQL0BanXc3NyHq+3ETkztkmrKPmCJWSUa8CFR2zJI2fGOgU1OPEF5RIwZcI3hvsDmiUAKA19u3V4T0cs0eM5HBrEV9mM66qT+PM64BA2JfFcjxY9XlQ6HAPO284T+Oam3YHnAgFw3ga89JoxsBWHb6YHkCkCb0n9Ad52R2QjKb1fj0iFFXrsO8ylw9GtKEJYS8C77fjpQ4TiCOsbxnZSUkoODi7urS/IY33DjQeQ+zuegAOKZ2wPCr+5bSfiaEutO/z2WFl5dWemNuxKA2F70vs4c7/92E9AU5MB3emBvQV3q8KT6WCceVeHZMY5cDCCDlBtyeoEn1fdbbNxBbgDctzbc970ejEeQcXt1fzTRC8OzUE4ii5SdUkuRpiCLlQCcn3eXo1F6+eihYzc3SosWc/4KiO2wWrV/AM2iNwTiVGlxE6LD0VFAKrQqEmJbWBKN6ehnk6QnRJpm1TYMgV4NjITgELSxFtx6nYID4B0UK2BwXjrHNQSfNWOS4IO/2r69LoozCezb67MACCJMd00NyBnyyXYNOEKK2PjDil6zH1s2QWSGG5IyLPHFcC8djgMK7bkscydphqZX0AujHkLOHQRa/K4LR1yZnSdnpu2pMYiwWXMMeCyGA8g60Jfk8c0WEhJCphiaPHjW3GNJ1BAWFLAJfZY/4J48k+iCBRPmL9U0k5VhlW8vQQgHhziI4zzTsaTp3a+jQ/qRVB8HZ6ZE46DSYl3CJEygU90195arsBBh2pRdPGJQXp5sGjyTgdo1a68ogh+ImxPpUlv67RYHDB8w0hH0VRkr+fofKA2me/fOU0bGjSuvCSb6Bpzrnt2RvxRsU/JvFuKC0DR6Qe6L7bAbOd32v7XaX7pDQMXu2/ZCwAZRq7kKVNvRm4wI1nUdem1EPCi2QBNjGSTdyFT5EHFTzQqktEcjGHwoeiknw8JxfwAFKYjYFIXKDxGPSqcA8LZNUIWwCgFcE9RCUfnAH+2aXkvkKwUXj5GlOggHzq4lRtcLFlQ4EF9Rlk0uISibjzFBvZ00mjysjiU4psUWIL6F6Ar6uuwOlUbTl7fAy/ImwrG4tQhkmiBWK0IsWA1ZOe2eMwh49apWlJWB3hRRATARD2mMcC5gnnqkTcH8gWS1Grt4nrMMYBIcJ17bJvGs0EI0xpw7nocO/VffJ0HLFtoPozfd/s0ioAD1jf67wrB18VUggV8PEkLyBAGeKQGoeVVz7dUzNjBptDilT4cH0UzDTJAhoZUXBtCSKeCPJaPwjnEi3H1WS23zC9An6Q9cQEoO/2AdOUj+A+GHqg5iUGQd8EhCMUGktKwfLG0oBotfn9saBBfqT/D7lPRiE4gRXa1Xr213d54AhUMcnfFoP7syhOIKhUmUwii7HwBKtr+lzepDfpagIkY1l8YOEUIHNhkxgV3RUQAOul779b9ObaEXgvlICEt9k7fF1719+G84sSSqiW5HZ8KQEzwn2XErAo79RPQIqXFm+FPG+JqUuHaeYmonXmnduayBOUJRG1Biv2+3WNCmr3ahpvtuCZFaaHnYzK/AR16Imp2gfJUqJmtFDjEQporsCpPoNTPH4BFoGKqmwdtbAxQIOagvy8TTG1Tp5Fxo/7yUtSwkjiqJuI29ciLh/vkeQIeiA9lP0dX5xyTB+dXr2QMJ032SoVUX88CuviWQVD9BkAA9Rlp7ZFPel8xY0qQ8gCIgbwMu5/AsOP8Puj5rEzjzhPozJLc78KXcuMd+hqzBljYz0mD35+zAHRIO8+96DGiWYaT6O642vlWjMdff7azDMB5/5Vpd2OPHzIKi+7cVgi/KyUuY9HEIEDfi4J2DKj25ZVHUC3Kqfr9OwDQwkAZJqf9GJ+ujENeqQ3iACvqQBM6cWLkz+rrrt+k/3YzIZgw6N7+vMKXlAneZ1UeGntTnDSFJGVWKbIAfqUWwOIWPQ6UTKAv9H2pw1QUwGVCFqDvE2Yrln6inbeymp9AH5WKHBnuwndyZY1c913GtjqQWYNXcxxAuwl+yLqwJwfAwa32/gornXtQJmU1LqHZ2cmJQU8byqQFJnoPSQyanB3TPGpOY/SsR5TMyhMQ+oiI9N3bJ8IT+Er+6Iv/EOQ95DgCwQNRIUI4Br1eYRIxlNOgkOKW1G2YeecJDN0eXW7X+TwD3gHGAyhDAIqAcoEEB/e6AN6w+jFAAoNXjTUvHSOcNwsd1a814swSeTwhnJNJifXrSnwpHSFcsnUDNrtwqn0QVjixO+eGWFTv/SoKyoHQ3Qq2I7fhIiX8uiX5QWcklFU4BRhPoFcyTDzp97to988756B4YH2rHVT9MHKymUpRAlc+6DbuZ9v1887UTMfSjgW8sXVGdt2ZEGnQKK57N+Fq0uK6gq5XemuN0QKA7dqhO23wPqMPCd68GwA0nsA4bhi7iM5ljD5iMwiv44xvric8jQt6p3l+B79hyQGeMjwX/Oz61KLHj35Tg8/iEKg0nsBPDi8ownj0KleuUOA/fvkxfv/4gi/6KwLl9qdKgf/p9Sv84eE9Pgs3DLTvvotd/+X6hK+6C77wFwRKiPb/URwyGK/pgK/DKz736uhXIcBNHP7v9evGE3jDExYJet14AD+Pn+FLf8aPwwcMFNWSXAIYBREOf/uv/ONPmSdAwMNReQJ1EUfXSDouJiUKdR7podeW1LMm/BABSRlg+dgjjx6cC6hzEG+TfEcKQ54Ccu/A294RUO50RwuMWHkCd4nIlBUiLEE1DLpbFZXpBgIl14pA7tVpmHLlCaApIYsRgPyiduUqjHI6kTdegJpYSOMBbMQmDdZhohMxpIHahL/qJ5igijsrELlTvn/F+osDnAWTVvJR6dF0DNVQKPd7B6E/Q7TAshUgQx7Y8gVql1TZgiXovEB5AnoNloZT4UYNSWEUJ+r2m50Jk+x3MjukXjkCqTC25I1IpBP4yhPofLazd48tOTgWLFwaTyCMKsCJ2TUyEZM0nsAxrLglHbAt5shbeQKXMKB3CeekCryL8QUqT8Bzxpsw45p1aDfn7+EJ8IapdOYLoEutyn171uJXpcCVR7AWJQ/VAvGaVWG4lIBvtwcAUHKS1/87lxFFCFE8fhUfkUEIlPHAMyZRv4Fs13/o9okUAeMJDK4tUt4yJCju3+eC9Ng39h0nAVeegCP0IkingDTuUmTAEABSHkA6uB2CnHfyThfYIDZGHBWCdBs1CLDanKdRcwZcBLipF3VH1/vrv8MkbW6xnVxrpasparbjgwqjgMYTsN3ZLfsiv7ckF9Zw1D2kFYAdJypPwEO9BjQqXRdy5TuEm+oe8mgW5TZHqSGt7EX5Ph/xBEobLgqhiZukK6Cz1wVdzUQt9FMG4wmcfTv7Np4A6xGNu6wDM4FSdBeHGk7CXdYzeNTCuiwBOTlFHEgToLA4bNRhCRnR4Luc1D8whIztuvMEtuRaEQGAPqTGE0gHnbafl76dsa+XoUWNP3TqN3Dd+na8eT5rbsBWPG5dj2vscUvq9luEcF70+dxSrzyC1OFl21V8cwpYsm8MxGvu8RrHdr0I4ZzGNv2/ph4vUbH+D+tBeQcl4BoGRHG45AHX3CMVh1vurCgxDrwiisclD60Q/dDtkygC4hjbmw7pqPCRXwhsbXTxBPfYNz+B6hfAFgYiTKDcIT6oZJiTaGKQmYFQ8ioFPhn6kKAUYf8x0259Y/JfcyOuUmJni3x7sl9SlBYtLmSqQgLiqUKOWjyKQ/On0yJiP4uqgg8AduFNOgC87sVCyUH1LF7nA4Z6BB2YVl+CWgjEWaHpzE8g7TyBdESbst97H4qlDcldAVCNAbeB4c5/tzlNML8Ag/nY3HLr0FMEZi0Gna6b0KgcdHhabEFLYuQiej42xKEk1hgw4wkQSTsHI5R2opCkluI5s0qBzc5MCgFRPQQu84CcGctFWabkC2LnUSaPq++RC6MIYbr22uF5VRfOBDzzAbetgwjhMmmRCCEjrh7nSQvFnAKW5HGeB4gQHBds0eMdC+YUcO16LNnj25sFjrAgF5P8FofBTEt+cVOderAJ/lZ8czpai8MvpifF/JNvx57VCEer8QQqASkWB4eC3tRga/H4djs105Lvu30SRaAEwvylV55A0iEPR+PYByD3HdZHQjooP4CTTpVzrztiGj3igZBHnTBzrAvEFvCJkI47hz6tuyNP8Yx0oMYDaPx6W6iunrtH6HR4/XgY5laLPe/EdPs7/6DafcWHOnTDR7kCblIeQDKSDQ0f5+u5xXgEd7HnwvIRR0HdggwiZDQ4UYIo5OahC3LWYld9C0tFFkQhSkq8DykFqowk+WjyT7lCitSm3WSwJkcATMiOrG3RWQJtKgXWN5dbFGIdYtHNqVLQKbIjAh34EhQ6m1kzKFiQR7TEYxCwvfSgxG34VnorEl1BiQ63D6N2KhsrEtKxSom9IK0el02Ha7Bk4WgCsLI6XDFgYo1Ll9UBibD1BYiMWYB16XDpBsRNU38lskaPbw45E8484HUYsEaPdQ0okeF7zSFYY8B56dGHhDV6zGuHnLjpKC5rh8vQw3PBdetwW5VHIEKYo8d16/Ey6DHhFjvctg5r9PCu4NZ3uMa+8QSuscd167HmT70IeML0dR2O6a7DidpumA6E9Qk6jDoYjLTtu6CLyogD7INq50/dhVl5ApY8W11g1UgDxhMQpHGHJduuRzohTkdp4R9Rj2VGxVW/ge1JUQwlrZj5JwuGXzqkk2gqsvEEYDJlEgJvrmUFSpCmeqtEHI5OdfJddSTmxuJTE0pzOjbtvxS0AlOn/FSUYNPES9bCi5F5KuxZswsajDcaLmZT+eblsKizrRyzxm7HfYKui5FVdvsYIZPX0E47EmkMuGH9lt7rb/uE3U0qM+avFjVxfQ0Ir9x8Fd3EKL3Af7Hoopg6dM9WQDrAZd3Z+c2GvDrQVS3Hq6KTMml0+TGirA589SpRzgY3L2p3LplQbrqzUjRVZC/A4oCHqJqHhZUSPTvlEfQFJQagLxoPDpX75sWBbg7SCeLsAV9wWx1mX+BCRlq9Ij5dQVo9wIKZO6xRsf156pEWD+6UTRk3j6srmI87T2BdArwZttzzBBwXvEwjpqVDCL+l5fi/6ps47H4BxcwtTOsuHshXQjJDzPs4bJulaFcwGDwI2La1Q0bxsSh7sAIhsltdoTDSgxFu7h1vKuNNLFegK3fpQXZfASgqNCO+7K651Rln4I/kvtIVoBUgswCvjwWolDRTe6J1Cq/4tvHyq2usteqN19AXFOJ9Ag98JCWWUCCF23tQ7D3WlskKsElztQjq/9fXqYQgGATIKI8JEve3u3IaOBFoIshnoghfRTzuuhuUeg6j5vgLwAxbNG8wbl5/VtQjDUdFECBkIaWKwVNRmXW1dKNVLcRKZOsK7XmRfa5Whv9MYTy3UFNFMrTrDF1C3JT66y5qWFLf7xIEvku6yKP6BHCV+pJBgGPSvIFMqo+IvCcFBwF5sQg1t4efVDlw9ZEAMEu38wQio2z6WUn2WGdg5wmsjDjoe5M2h9ir1oFgPIFV52c/dPuNi4AZjf5vAH4mIn/8O80i9LufACDtPCm+AEGQe6+7YdXA13VgPIFSzTmMHwDLveNQkJZBW1uv7j110blejR7zdGi7pxxyM7/UysrIZu2kQoOiluVetWElE8rk2vX6fCqHII9axCpBh0f1nBOj16ZR2jkabDyBqFRZZNIshfp6GaCQjUr78e7diEN90dgus9uqx4TKrSjjXWCIMSLJUoxEoI5ENc6apX3dZhiiv59GMbb3rVKT9Unp/e9xaalqROs0/ERIjZ9g16B/c7Lh3hJaN1e7Mkra9TlnBh61IBpywQtAYY8252i/NyeWyGwcByt8vNXCBYhyktEZUUmyEZnsI8nQzqrrspqOFMBP6icgBJCRkbzXTAO+OYNk7XdVH+cxIyevegmx5wgrcGBgiJDZKyNS1LmJRB/Afb4hLV7nJYuHRPVvpGLHpCEDi0fcXBumikWg5/jDReA35gkQ0d8F8NcAPFoR+B8A/E93WYT/h4j810T0nwL4t0TkP7Eswr8jIn9hFmHzEwgBcjooTyBZCfYO9OEMMCtP4Dg2qbE4Bzj6YZ7Ad/wEytChjB5UxJR+DP8ym2mmQzlodLnyBAilcwivC8RkydkMSNnuWzyhe43GBdCvq213CeYn0FUfAj2Tc1KKbgmE7jUhnhQK3aPJpUmPw1QQj2YLZgvkI57Aon4CpTM/gSQNp8+dfsDSEbufQDYc36PBl+sbnZ+wEWs4ATW/Mo/SmJhu1aMMZ7Nec9AiZoUGRtWuz0/TiQu4z40g1QxTnIWL+oJhiBrcmXnnCUwdhtMK5wqGkND71FR4APByHXEcVwwhNVfgOQUwCQJnfHs74XFQnsDgIgaXsGQPzwVMgp9fn/Cj4xlMgqcwI1DBnPX+//T1S7wdbvjxeEYB4cGrn0C9/n+df4SfHF7wZXdtXgJMBVPWz92fz5/jD8ZnfOZvGCi251wlwb+Kj/i97gVf+kvD/wFgEUUYptLjC3/GV/6CDMKtSYk9/mz90ngCz7/GE4ji8cv4hC/9BT/xHzBQwk0CFgnt/n/rr/yT//88ASL6fQB/C8A/APB3iYjwO8wiBDPw9g3KEFAOaiZHsUCCknR8ypAuQAavuQNJpcal9wADPgskOPULOHjwVkASUBwjAI0MFE8BpWfwWoA7AxCQ+gVsT96Ggfr9wgSSXqHAjpGOumW5TRqhBxI0g6BTAZNfjL4cCCUErcIdNdGSn6VBhsV7hd663U/ARQ1hVbyfm9Gpipn0LcxDHZiiKRTdCkAIpdqR37kZ14m9FCCbxkIHgtKOSRz1ejqYIxLuGIsMSDIUY1AtAyXSzgo24yj2801qrH4D0N2oQoRmjUYkEEsi3lbf2G0A1JXp6rG6gn6MWMlhiR4xWugnF6w3PQcGVzBFFdDUbD7HBefbgCLAl8cbbrHHLfbNMpyMTz/6iM+GCa9xxGKwHQB8mBSuG1zCQ1jwbj0hCmMyGPDddERnk/cvuyt+GZ8QhVvy7zfzAzwV5J5x4A2veUQq3PwGznFAskwLptKkwJVHEMVhsu8tYHybHlCEsZSAX22PmLLCfT/yTPV2nAAAIABJREFUr4ji8JIPyGBMpcNrOuBSBmQQHnnBIgHnPKCArZj8k+9dfr/pceC/BPCfA7CxGD7Hb5lFeB9DNoRHlKcD8sHvPIGoZ+biCO7Qq5/A6Ix1x8oh6NWWnNcO6RCQDuquy+acWwKBY6eGIZUnQIBnashB1Sqko0KMZKGhxdV2VQtDHE3FmBSD3+FFhbfigczY1O5H5gdg5+Xc65nV5Ai2iK1VrAy/CJRt5w1gRGu3dcMwP4FhX+RKD94H8pVDUO55Ag7wV/1ZFSLkqO5DpVcIUJWHsucOrDuKUYeHtWhIX+DubNcqPbZ1AF0BkvIEBEBLPWIBvB6pZNGWuxCr0q/qFCrEmljtwjOrXNi6CPIFWB02FzB3Cbno96S48wQ0d6DH1EVkIVXhWSfR+YRp6vEhJDguiMXhZR5hZlKYjHcw+iOSMJYccF4HRLv/denxzp00S8Cw+Zd1bM5A161D5x6QhPEUZtxSj/frAamae2Sn8B8XOBRcc4/n70h9t+JhUS645h7v4xFFGK9xQDSorwgjg3DNA17TaDHkoXkJTNxjE49rHnDJw2/HEyCiPwbwjYj870T0N/aP3q/d5De4tv/HXQzZ48NPZPlqwHZSnrRbi1JzO12MJCPWzzzigQ1CFFB2iqk7AOixPThsR5USO1uk6kWgi2p9UD8BlSJby21UXnHA8kZ/idpS0y4lnrXQbE/aDrtNIMQNv3eb5hLEBzQMv2YNuG1fwGnQ6/c8gNo6A7rragrQx3LkauNdeqMq2/m/4v/VT4AGaFqzl7agKVIzNk0nKAknwLB/NKRBIjW5cuUJgHaeACWTV1fTVGeW5lxRCht+BWMVlTv0IRLczXgCo3YGBUDjCWwEvtkHeyg2GxAgMhJppRPL25O+mEekdhLT1NtcxivE2enGIZvDSsA3ckLJjHjttJCFgrnPKIvDBxwxrR1EgPkyqMlon5Fnh2sh/FwI7/wBpTCmO6nvMqkseI4Br9uAOQZclx45s0aPR7UFf1lGvBlmzCng/U3zCYJTm7QpdlhSwOAjptTh2+mIlB06nxC44Jp6PX5AMOeAX0yPjdNw7XusxTVSkPIEDphSp7kHQTuN0cXWYbxbT5hS3TV+/fabdAL/LoC/TUR/E8AA4BHaGfxWWYT3txIY05ce8WQYf3JqE82VBxCwnQh5pGbq4TZFB8QR4kFb8TzAIrRtB/a6U1epcfX6d9vOExAPxOPO3iMbKNWFWjMFdpnzPtCqkubtcTdJ5bEO0lT9qJbo0gZQ6Y6D4C/Uzt0g/Rn62Lpw/aTdRR7LLo32exfiZytkY9EsPFbMvw4KWeprtAUp1CjBlXugUfACztS+j5KxBYE9i9DrEJHBKGSqSoFh8EbiWhiZ1LYTvQphaNtt2PXHmdR4yJDNga8Obq7wMKtk+ZgAIcjKcBfXuApF0BKNIYR07tSy3JKPS67R5orCrB8G1TXU3IKsIiA4QVqdqgHzPnzLGxvHgDFde8zcNykwFcLsVcG3SIdtDbj1nab+2ntQMzRLIVy4x3XtMK8dtkXRhiosW6PHbQsYQsJ16TEvAVI0x4BZcFk73EaNFr+sPa5L3+Ylc/Q4rwPejhMYgpd1xG3rsCWHzmfc+g5T6lruwMs24rwOH81Uvnv7fy0CIvL3Afx9ALBO4D8Tkf+IiP5H/I6yCMUBy+e2yxlhpkJH1VhkewP90PUAQM0cpFpZx5PttL19n9TdlnaeQIZ+eDKMT6+j9XTUIVfjCVS0kbWFjydpLXSD5Jx+k/cKX4ql/FKR1kXwqghAHpUnUJIl1NqHxc2uufXo4jYmXSfadayuKRxLELBw4wUAgGD3JiidgNf7NxUf9WQ6c5AdrjMpMcpdcEghk1qrlLj2b40wVLQoCDHkITUkghMaGUqlwgV0zGopPu08Ad4qS5PhThFp0QJQHYd51TfdfaYQYJ70OvRpKjQpAv+Ud0vyK6lupDPuCDP4mBSeW/XnE/bXJ8zgU0TZHPiiSj09GgmwEuikPIAyKwuRknEjetGC9xSBojyBeVOIj2eT+iYCxoy06KAlJYe8KBIgQZDNcWmOjNipp8C2BuSbB0JBTgx2OicphcFccJt7bEuA83q9FMIagwo9SfAyD1jmDs4XrJtXmnR2OIQOjgqe5wNupqX4odtvwxP4U/yOsgiLTakr/l+ptLWt9lfaWXX2/6rUs8VkYSENj2c0nb44h+1NaTkC9dZ4Auw0Ft1YaG3xVB09qd25BEGpEKTxEJA0Ham11bY71h0h3YLyF+rPPGQ15bTnmUZuxB8QNMCzTtDZZg91F/eC8pAVU67v22AkIoHyGBzdSYllhxBh9yc0KXAjByUYeUhfc2394YtClXfcC7FuwC2E/KZANr8XGrpDIRKjfL6/163wsHY3JRLwGVDDXJqCUpR85ULGOnMLcymd8QBY0YmuT5inDrySohUscIse+9xE8F8nlNgphGcDehbt/tzEcG+NJzBT00WwDTW7XlOF8uyVJ3DHYygB6IaIbQ5ANLtw80uASYX9GPX4sTlkhnYZ1WjGA9wnlMUhrhqVBuMSIDLEF+QgyMXhnOwINSlPIHkB+oz13GNlIFogSZwDZGMks17b5oB5CRgGCx+ZemUrdr8jspCI/EMA/9D+/c/wO8sitEl03eEqbh90kCTO69nZ2Ye+fvBqEs3V24KXfYFaDHm68s4xsPMsitpdEwvyddgJO11pPAF2glIIxayt9N3avQSIRUUus2vX6Y6HgBoh5vfny13W4WBWrL/0sg/fSLP2xIoLMinzToBmFOJMvFO95zszGQH0MYJAUKwQKPmkcgbEjEqo6GyjdQJyd36vz7N2PFyHi/txBw47gaZdt/feNBWcobi7Pa822FSXePAGpBpC6tBcj+ticVU6XPbZDKgWLJiLjh77mgKS9hkMkWkIyj5bUc4AFKY1t+OaKVCt0wBCCAkp6hHEbfYaivEESBqHgTJZEbIuiAGQPTbVOQkaAa39mqpjk1GZaxEp0BdBY4ZMJngqZH4OpB/pN1GJSqtDdHeU50ztmCSLQ0yMUhil8QQIMf0OeAL/Km9P4Uv5oy/+RHkCxxESPCgmzQpgBn84o/IA5DSqcGdLit8Twb2o30A5DCinDpRF5cWewS+3nSdw7DX1OBWQCMTd8QQqxBgYfs7Gs2eElwWl0zyCmoLMsai60BO6l4g8uMYT4FgAUllxdzaeQHfHEzAvghwI3SUjjdxyCfTDuBus+rkgHrjtlGzOShUCdKuFhDrD8JNFlwed/HOq100TYTDf7l6s8w7AZimlDi/RhpKVielWWCqUdShO0QLpjJBUrcagxbsMBegznDnmVGEPAOUP+ALnC/o7nkCy9OFtCjg8Li1zoHMZa/JwFkP+fD7i8bhgDBGjjwgu4xZ1MMYQvJsOeHuYMfqIjhM6zlgsWhwAvpke8OPTKzwVPIYFDMHN6Kd/dv4cb4cbfv/wgkAZPaeP0oP/2fUL/OTwgh/1Z5zc0lyCLyYJ/tnyBn8wPuOrcMZAEYuok3CF/Z7TEV+HM36/e6/QnwRk+1u/9vjavzaewCWr8myRgJ9ub/GFv+DH4QM+d9fGEyhgbOLwnE5466/4if+AI8XGE6iP/3f+zf/zU/YTcMDbJ5Q+II8BJAKKThefI4QtQg49yuCRR6+ZAdmjdM5UhBnSeeRjQBocONoO5QldKSpc6RziQ9CWcS0tlRhAW/Dbk7djhioYdXcYIE55AvHEhh7o7q9oTVB/gF4NTcOt7nCE3IWGCChBCMoTsDlH7nzLW8yGXPjV7Ms9zFIdDQUJN2mZBSWYbNjBgkYAgFo8+f1Cr8ccFiD1aPTmmq5MBR8rCe2oVIlCOskn1SAY/EgJ+xGKoS5ALAYzStudmuV40QKCTjupMnvgkDDPnQpwNqfHkVBAN4/Fd8Bh09TfooM4IgG7gm0KOAPwjxk5digbYdkCihC8y7hOuiB/7yFhyQEf1gMWM9p0dzyBL8crXrYRL9vYeASVJ9C5jC+6G17iAbeswzYAeDcd4S0M5Ov+3K5XnsB5G8AQLCXgrb/hNY04p7FdX4tv/w6U8ZyOmMp+fwC4BsX2AeA5nXDJA9bi8ZIOmHKnoSJBi8b7fFJuQe4xlQ6Xoq/9yCuyMJ7zCZv4VoS+7/aJFAFCfhqRDvsiJc8o5h/gHgakhx5p1MWnC7GGgRDc0iMdPNJJdxK1yiLjCfQQIuMB8A69efMMsBPE9sDNoacEZwGZO8wYj9VPYMf+AT2HQlRKrCScPbOA7rDfdNgFUdUTL5GN8Ul35OolULMGkl3W5wv7Qhe9UnWxL1wHeNqv7SnEdqyXih7oDk/WxuZBz9uYyaBT4w6sZENKgNbqY7DnDrgro9q5UdQ/pbPZihcgK11Vh2sMVNs4e00Q6HCuy6rSK/V91Sm7bMoFIFZhTSsSvjSZ8WUeIKKKvmKoje8T0hJwI8FLSBAAz5fj7ifQR8xTj2eftQMRxjeXU/s9zYstUJeRivIE3s8H5MJgEtzWDu9YOQRFCK9xwPvl2JyP1qzmJWvxmLuAOXf4mUmB22dBuHUZ19zj5/NTyyHwXJDMawBQs5FfrE+IxakPQedaR1M7jHfxhK14xKKQ4IE3XCgig3HNA97F078GfgLBYflywPbAu1/AZuk6jgA6YHusPABRq6ysO6gOAXtsR26W4xwNK3cEICD3hO14z8rTRV4MQsydWpID2KO8PIwpqPj59mREIRs0VXzfLUDpNNm4WnM1deMC0/fr4qRkbD+7b3O5tda78gDuf1+Voqv/NuOOuvsKLExTQD0hH/b75uoTUF2TRRN5awx6nejDC5DIcg2sle8LmjW6E8DtJKc6vyjjfowkoyOToJmt1hkBivEEBMgoiixgf/7lGtr1MpqGwYadeXOQGECLJgeX0XgCTjkG07XXn1dDPfuCaBrpbQ74VXpUNeIltMSk2HtIZrzggOvcIydGvAUgscKWiTSuvDA++BExO6xLQFq9FpjokDM3Se9t6zCtAXHzCF3SY012OAfNDrjFDq+zSoo7KzyVJ+A5Y0odPiwjli2gNxr0ZNkCDMEl9fh2PmFJHo4EU+qwFteOJ5c04P16xC126F3CrdMdv+fUDErebUdcY/+D6++TKALFEZY3ri0kygQXpRF5inPYHvScnePevtbFlnunPIF+P9vqAiFQsUyCA6yL0IVcjCNAomy/ejZmGxiJryiDLnDNMNiHV21heiUKaXKusQb9vmBypzyB6t93TxDyN0IezMcPewvfYs9nUgafOSU38pAtoOrnX3rRSAIm5QkAuvM3uFLs+CPtNVcSUhXpNBGQDauarflGrWvgaDg7sykiYVJiHVzxYvAhFR1wrbwLlsQgPi6QOgDbGDyp2k8IoBUAGPS4qUnmxnCvfpcqL8YjOBiPYHbgyenvhIyDQKKMRSGkS9h5Avrb1QGpE+TNIa1OF/9iMGZxwKiS3XnqsHJogh1KhLgy4AQrBaSojkWzqfSQ1fyTCLiSRoYvyWPeAua5gxTCxgLiglwYsTAGn3Bde1xn5QHE7DCz3i9Z53FeB7zOu9tRKqxdQa9ahg/LAa/rgJgZnc9KKgLhaFPND9uID6uGpPzQ7dMoAh64/XgX34B2bFq5/BoOoguQ2iS5LkROQDwpvBVP0FGxTbuLU45BHu4stSv8yLq7xqMgD2gwVEUKVQ6s15sl9x0MCYO04qO0HZXuNf3FIY+iEKOXNplvrryJze5LH7+EfbCm8J3T4RvLjlObnTkAZfpV8s+hgBc2aa2+SNU/WIHpixGt7LU3vj92h2dTAKp+32TPQi2HgZL9OwPlWNRIw+S6udPOxs/qHCQPEbI4+LlSsW04KXrscg8RaXbwN+044AzqzQT+PKMwkCeHcDM9AmATf4Z/q0q/cjGeABkPogAiDvygjsA87W6+Jeh7XsSBP1+RZw9+9cZJoXad3myNJyBWwHhly51g8OcbSiLEa6cdxMYtlwAbAw9RnYxIMPsOZXONJ1AImpS9esxdB3YFcfUotwCEgmjK12nqMW8B3mnM2jYHcFDXpRgdrkuP6RA+4gn4kHGbCbeuwzV2OIT4l8IT+J3d1HJ8h6Hq4KoY9BQu3CbSbZFhH2C52UI5DOpqRhtOUIIzmbI0ko3+zGJnat94ALm2sLZbqMbbNTcenOyNZNgggZGgZ1VhAR5MMWftbDrwzhMQAMekSjqBinXMUASAPhcz6qieAPlwJ59mUanzdn+97I/NQGmFAIqWDB/7D5RBzCcfBrfqTt+OH5XwlAgtQUj2OQaMMEU2JITgo+NLMao0F9IPfH3pd4WTV+sovkTDze4djfwMuJCxRNc4D0JQ9KMoQtF1CVN0reg1vwEGkAm+S8hbrzwA6xJY9HVyUcvyXIKZnKDlT0gQ9H3EugalO0+8R5NH3TC6PmLJSkPmSXMVAENbvSD0CVvsQLPXX4tZs9Xrrs/Ik1eDEdLCThbXJmafJhvjUmFesy7PXsCniPXSYyXlCZTM2qlEQrSB6zZ1WPoOw7ipE9HcoSSG/9RNRUqFmyrFte50XQF8QeTQcO5G+iH14QeAzGE/hwbDkEPRRNyLhYM4bRPJKKXOFHBlcjsOHwo4FNWwkKgN9nLHE2DF+iGKCxcWpYwyUH0EqLNCYHz/GiTScvuGZIIZGEcfDZMnJ4BXrBcWaHGvmQcLpM+gxWlHUd2I7P5gjRfjuRKGoH/bkQAElKIfTB3eAagsxLuBHW20fw19z8VrUSwiLSTk/vdXCT3FGZuzzgbstRdvMwpnReCOJ1CLSC046hdgVmtup0lXizO2AgTsr6u6IaPY7y7vr6Feq49PBOUJ1AIj2qUUELwriGTszhbGokUEEHg71yPSHlnHyiMogsYToM3Yhs1vALWJ1b+jEruqq1IBAWwbiCUbqWmNvniCZSFmgtw8NnQ6Oa4sVCHtgGZGzEGdlxLrZwlA9J88T+Ar+Xe+/BOg75Qn4BmUCmqkOL8/K2eg71AeFTelmDV3gAjuWT3ay8OIfOpBuTSrcfd8AxwDzEiPA8rgwKuyVoQAf170351HfOggnuBmI/UwIbyuKJ1D6Rzy4ACRO08ARveyKU+gU7TCz0r4Kb3lDliEefUM8Is0yDBM6lZUHYtdBCA7j8Bt0mTIarkGPaJUm/E6iKwOzFVvYTyBiiQIGZOvXd/nFtW9iFe0D2y1FRe/L1DedhJR7vUIo0UOSgIyJaEwPuIJUCURZdIux87sHAp8yHv+3ua13QcQF4/j04I+RARX0LmM2xZgAk2cbwMej0vzDADQ/AQA4GUe8PYw46mbG3fgapbhDMHzcsCPT6948Ct6TojCLYL8p9c3eDvc8AfHDzjw1iLGLzaI+xe3zxpP4DN/w5R7FBBezUn23XZqPIEjr7jksbkCA6oK/Ko7498Iz2Aq7fp9BPkX/oKfhA8AgPf5hGw+A8/phCc/4SfhA750Z0TxOJcBUTxupcNUerxxE34cPuCRViz1OhyW0uFP/uo/+pR5AgR5PEGGgDIEq9gF0quZB906yKGH9OoXQEmAzqnfABN47lGMJ1D9BOo8gJdeF2DnkSpPgHUBCynKgDueAIkNJC1IhEoHIUIeGfHoFJ4sCkEKA/EhQJwKmKJZmlfX4fIZNfNRRSOo7WzqN2BTc/MTKJsNLuvXVhxKZwVr0kVXr+d6DAiAbKQFpF7r0OBFAC2Jp9mVk/IAAEUtiLWFrzwBJRIV7LTYO6VhpwhKVSgSCLAdsfTlI56ACO07ltSBoyr/0gjdsTLtCcUWPb70ygtIWXCTDuuqWGc9R99chzFEddjNDre1azyBee1wcRoswiR4vx4xR4X+PBfcNk0FProNt9zh/XpsgZ23rYPjguewwnUFc+nwso2NJ3DdenzwBzgSBMr4EA84p/Euv8Djl/yIWBy+CFdc8oAP6dCKTLUmHyghUMJrPuA1jQ3HD5QRxWEwy6HKE5iK2olHUTdhRkEB4306YSrKEVhKQBSPgSMiO0TxeMkHLBIa6ej7bp9GEXAO6YsT0kmDPtyaNYSjN/+A9Yj42CMdnBKJUp0JsFlkjUhHj/igi5SNcVe8ypCFgHRyFm2uJJwqJQZ3gADbo0MOmhBEgxmGQAeDEGi0uQdc3e2su6o26Oujdg7iuC2y+2zDGmSqBJ/aTu+eBvGkzsYk++M3Q4+7IebeXqNpK4q3GPKOGupReQIlwOYkBKpS4VBnK2gGqpwJOXyXJ6BHFrZU33zYyUBVHlzPtWwwo1K9Rf0HRf9QpbaG/SgH6ACRUVBuweTbapYKJ8izxyyaBVAn9GBpLsZz7vEOQCmkPntJB4yuzyovLtSw+ZezSoJBgq5LSEmde2PRANNfnR9auElKDptBhNehx5Q6vCzjHm4SdXJ/jSr3fd0GPC/Hxg8oonHhlzDg3I1Yi8e/vL3Bas5GjgounRYEz+po9NPpjSYkccHBbziHoS2NKXf4F/NbbPZcL5Y3cM9E/GZ7wC31GqwSegRKeE+n1mH8Kj5+REb67u2TKALFM+avB8RjtcliuCjWJhPAI9ZHZzwAC6fM2hYrKahX04/RBlPJyEIOALwGh4y0pxYnc+5xUJ5AT4gnXaQ7jKfn19xpO5+Odh6Ndbquz91PFjxi0/Fylw7kJzQHoDYdL9QMQVpMelffh7shHPTnlW7H9ZUpuB/fmtWYmYGk437flghkM5QkgJx2p6AmLGJ9r3JvC5x0BpC6gppsrDoOoPH1vSAfdyiyQqccFaYUgsJ0dzwBgnYuQoaBej0mlEuAv2q7knvjCfR6gM8bg27ehEQ62BRR0xIiYD4PajZqKIV0gmxFZJsD3q9+z+OLCmvOg/6sc3a4Tj1ydLsfQZ9VZhwdUma8zgNm4wCU2atHZKbGE5hTaKm/6xLgfNbUpOzw4ke89CMm4wksW0AICZ4Lpr7Dlj06l3DeBrwsI9boEXxW2LDvW07AaxzwrvIEuODa9YjCjSfwEke8bAdcth6jj7h0mog0Ou2SXtIBz9sB520vLN+9fRJFQDxheXMXTV41/bYgcuexPdiiNM4Dp7qICXlQyq44ICe9f5WvkjC2Rw3/rIMlqqEg1iqng103EUnzEzCeQBqN7GPc/UrSAfT69igNR1d0wxabqMdBfFChD32HJxCud34CsJwBj4YuuNla+0FQbJHlsbSFxyu1YWoxMVBFTHToJR8N94zGqM+/qhfrgM1BIUIbeskoEIhO4K37qZHvwgQ5ZW3xZ9dmAfVvEFRKPHvwpFVJyHwKSf0I+KBqOndzDRp2q0ab89OmMOPi4K4W5+Z1blHAoGNqMwZ39u09p5WQWa8D0A4jEtyiw09aNVadhoySCHnqFXW4OUOeHPCgjz3feiwkCvFZKKhsHeSgxiLb5jEtPbZFCwQAFPKgLitPwAWslSdw0xCTbfFwQbH8bNTk69q3cBMiwdolbDVi3XgCLxZuIkJ2X8bSB3gqeL8cG09gdqE5Dx1dPQod/vXhCUw/ojbBLaZUq6Epfga2R7RMAf3Aou1olMlyBSrkpJ9sIW2htyfZF7Hddmad5gooDkztftU9Ny362HuUOVBVeZQIeVCZs3SGSlhbak9Ez+CdNEiytr26oFhhQIJagne0vy7U12UoxkEdgO6t2MUMQSrbjiw4pU3lDWmpGYGc9rjxUsNB6sKukGBNJfZF3XikMhulfa+bGfkpQpKzzgrqJ0hGYNoI5Q20C1j3ggzRwBVKDHoSlKzR4TViXoNfSH0GhVA2hl+0SyEr7pQI7quElBzkuVMXYXuNwvrc+G1CWj3clZvoqYAAi1XnR3XtdWe3G9CIdkRuiBqNNjtgckYe06OMiMD3GTlq6lHOQbuQOwcnGhOWawcUwuQGyKZkJDGuA07AZQm4+gFcw00sj0C7EI9p6jFtygOYlg7ReAJSFBq8rR2mMYAAnJd+5wkUwrQFzDFg/A5PoA+fejS504GVkmjQFlxl0JWrMutqdyoKoRrBBZYdqMNE1OvNX4CRjt+BF++GWkKaKwAHiK94jt03qwlFhRil+5hwIZEBsrMqAAzFzqbW6va8w4AAMOSdJ0DY+Qc24BNXTOJa5xHyUesuXdEJu31wm9TYdn0ZpMGDVKwwGBsPLOpjuGDnQhCapXidTTRWZH3OUvka+gWlO1LX3e+vBpdS2VGGj4xNCM1dyc2aiwgraCaJUAg2ahyYRo/fQZFUNwHzEdy8dl7FCl6pz5/gfUFaqGH0wjDfAv3ah4x0DTvUaYNPCQLvC2Jh0KqhIlU2XWwu40NGTgwkbn4C7fV5taqv0eRCYhFt9ferMHDZCLJ5zWeNZlte9IiksLPHNdnnZPZAAbJjuJNmHsTV4tfybj2eOgdiQdw8UnIYe+UJ3OYeObmm0Py+26cBEbov5N8+/DFo6EEHsxwvKskFEeTDK+B4tyRnBsUE8Qr60usFcG63JAeaFJler/p4zGpJ3gdQNh+C4OA+3CB9QI0ul+BAq4ah1uhyCQ7wah2ubESBBFY348uG3Dvl1zM15KAEhr9GlN5ZqKleA/TDWIJKjePRN6YgAJU42zzDz4J44uY5WBd3FUC5TdoxqCb+uq3i9rpDp8OumQAAt0oTPYnXgaSQwZO2gFvxDUA62efDii2g7LvibMjYlyaUqlZkwtAosa7A9bUimH2XkOY6DBHOCbqQ4J06CW32Qc2ZcRg2dCYjPnUrptg1Ku0cA47dht4lPHQLHsKKS+zbIPASBzyEBZ4LHvyKh7C06TwAvF8P+HJQWPlNmHHgraUL/9ntc3zeT/i6P8NRwcktFhw6IAvjz+fP8ZPhBW/9Db1ZjjsUXMqAIoxfbE/4g/4ZT+6G7q71rNbhz/n4kVQ4C8NRwVI6ZBCWEvCVv+ANT/r1nWX4zyx6/Ef+FUMVGJWgjwPGSz7gkRf82F/gINiEsYqz64Q/+sN//ilDhAx+8/RxrkAqu1/AFjWafOiQHwZdEEktyQHAx6RT+dOIbJbkJJ1AHvpDAAAgAElEQVT6BeTSfAny04A8OLg56SIn/TkgUqnxG7UXd4vmDggBFAMkKA8gHYynLrrrqX+AVxfkQEgjw09Fz8weEAoAkaUl61nabSpj1kl/sOFjPVNjlx6HquqzQWJRjkEJOoQsQTUPNXiVk5qHphHte+6HgCKK9dei0AaStlsXY+TlXuHFSt6q1+8zC3Zn4p0KzdVBh+2IkrSDyqtahcvKrQORAOToQJSxRY+UWVl6dsurg3MFjgUbgNd1wHXZF/GyBhQBwiFjyQFT6nDddghujh44AJ8PN0Rh/Hx+agKaes6uUuE5B3yzPrTp+YdVRSRHv+LJz/gQVepbi8j79YjRaav9BWV8k46aEmzDqkscWhjog5txyQr/XfKAIrpYizA6yyvQ6wrx1YIwlR5/2Kk59/t8wlICptLjNY9YRGHAH/kXhQDLAZs4XOzaGzfpz+ZFLcntuvIQ/vn3Lr9PpAgQ5PGIMnSQ3gFFQEGaXwBfe8hxQBk8Su+ALKBOF6YQgacBMhhPoK+DKlukq05FS+/VT8Bsv4vtzmwfjjw4RIsSr+EgJAISHd2ng8N2YrhNWmsLADBH3HhUS/IqPyYBUs97mIglHXvPTRiVemqKxRJ0kZKYeWjY4cLWKXA9RuwIw73PIkSa10AxY5DaJfgF5kWANvSsA0mOyiJUFaERhRwUAcg1JceKUvUbEDteFbROQLy0I07NgwSRJuVsZHCnzTAmjyikrM7qOQAoqrA6LJO+784VpOSwWr6f8wUpOsyuw9ppqm9V6YkYJTgzLq7gISwoQvjl7RFLsusuq8pvG/DgVyRh/GJ6bH4Ct03NSb5ZHuAG5Ql8s5waT2BOAd/wCbE4hDHjXTzheTu066m4RjD6Oji85hHfbnuRYagIqOeIgSJe8wHfbA9Y7Rfac0QMDgde4UjwnE54l7QQVEvxQBmOCrLo7v+aD42MFMWplwCo8QRe8qGRkb7v9kkUAfEO8fOj8QTUcrzyBFRP8IB0VL8AhaLkjkRDoHJAGp2ZfijEWBcdyQBhQjrc5wZQ231BHcQB8aCLU1t2LSCqAlRSUTxSCwr5CFlYdXGlAyBEKJ6tnSYLKdEFkkbLDDhQm3k0pECAPCpP4P583qy3AFNL7jz/ek6v6EBeSZ2OK6eglzZ3UKsxgyed7sQA9PUNxdSWVlA8mt8AROcQBaxeBzV3oCu7Ms9Lc+tVCzioLuHulEkrK8RnzwUiO0QoUBgwKsQnAOBVLDPfejUguXnQqjZxxQngC5Zbh1+aB2K8aTYgnIB6TTSOm07mmQTny6hTfl/gjaGYC2FOAVt2eL4cEaN2H4C6AcfsVNKbAp7nA+YtwHFp5KQm6d1GPC8H3LaA4NT5aCuaAXBLPW65w89vT835qHcJl75v7MY5d/jp9Aa3pMagb/q5dRWAOhb9y+kzsxTPrSOp5KJrHvDL9QnP2wFHvxlPIGOgU/MT+MX21CDF77v9RkWAiP4cwAXKNk8i8teI6C2A/x7AHwL4cwB/IiIfLJ3ovwLwNwFMAP5jEflHf9Hji2Nsn3WIR4WD0siNMiuOAOkQTw5xVInxvQ2XLuSANJBe3wDOe+4AZ7Rr2jarCCUHGCykPIB43CfhNUGoEnXU9tva3gpdNpGTII/GE0i6a5cAve+siy8N+3CqLRb8Ok9AjAS0owO2K1uXIOGOJ1Bh+qCTeyGbF9ZB4t1ADmRMQr8PKVurL7W47YNTcfKRsKk+ZypWJAuhHHLjATQ/AQv9BJFi/QKF8cyUBGQDNjDQa4ouzV4HbE20SM19CIUg57DzBGyAaM0X0hJU6WedRp3AU6fdwjUNjSfAG6N0BbFnkC84W55ASk4DRCMhdxqbdsvqeTDFgGntsCxBVYd9Vg0AgFRYPQeWUb9n7uB8hvd6Vo/FKaHIisi0BnhX0IeEJDrb6DjhvI14Nx8xR4/gNAxlyw6ORC3F44hvlxPmqGSirXh4zlisc3iJI96vR7xuIya/YS0OPafGOPwQD/h2O+FlO/zg+vv/0gn8eyJynyL09wD8LyLyXxDR37Ov/xTAvw/gr9qfvw6NJvvrf9EDiyfcfuT2ARh2E0ghII4e8YGahbhOikU/MAxsJ2mR5VURVqfCwoztiZAG7AaZdQE5XbTpoOiEikF280hxWkDyaLvjHQNQZc4CN5iUGHr/ltXHQHAf8wDYXIlq9Je/6fWaaKT+AdIEL87gMfH2/OpuCuyeChY2oiuVPjI2rS07b9Qst0G1QyitZedFVZgKP2rByYOuSp50ERev7x9vunvjWNQP4OpMalyJVhofjseIcvPwr3rEUpMVGywKQKeCMnn4C7ea5RYCZQa92VrYa7jWLB7AFULJAnrcmommu7gmK1e1HmsuAYByUQjPbTqL4EWZgjhpp7GelS3KM2vh3ZRQJIlwfTngIlC/gZl1rjE5yGPEdO0xXXs8+6O6HplIJ5NHOqqxyNkN6HzGGj2Wa98g57lPWKLHkjwCF1zWDpfbvkvPQ8Al9C1MpPIECEAurJFryeOpn+Gp4Hk94GVRS7QL9bilDlvxOLoNnjO+XU74sKoz0g/dfpvjwH8A4G/Yv/9bqAvxn9r//3eWNfC/EtEbIvo9EfnFDz1Q8cD8xb6I625Wdyu/APHY3sfGzdeiYHh6L/t1t5/Z86C5AS023DrSOjDLIyHV1GJbfHWgRhngoy1EszCvU/jGTxhqSy0mxeV2HWAbsAnggPyQlbnGdaDGeu42yDJ70l7rbuZQrcHFCShQU/iJE+TKBUiGtVeFH9l7UM/u9fXyXXaCUXQpKZHmHgJU6169b1PasaoqKev8IRnpqIWQmtVYxforBNhMWKyo+ptajpfPtSjxau8vtMi4ROCQsRU9AvBKe1eSAJfVkjwKAVeG26wAJDuCZQJ/pVFk/uIaqqJOSQKaCfx5Qrx1SkSqYan2+w+9LuJ8NUcjc/vV4izqLrR5yOpUabgpjCidfX5MzisbY/LSAlgqZJ2d4PoScOURRKKK0tUYlL6gFMYNPaZV20N1NXKqbmVBjA7zFnAdLdvwzk9ABLitHa5bh1O3gSGtU+nDHo763dtvWgQEwP9MRALgv7EIsa/rwhaRXxDRV/a9LYvQbj+1//uoCNxnEfrHz5rl+L2zTgvGvKnDjtiHH7APeRAgKyGlEWgqUajyBNghjfppbv8nQPXHE88mmJHmSNO2pkwo5ibTrhPQrLqTHVfqFD4IxFUpns0sKh/BiV5nFZcLDOcntD/Nrcew5fbhF9jRRJEHXvTDW8ZqKW7Pz4uaZhhpqIxF8Wqnr1d3e2422Lh/L60QsNDeMd0dHaqVN5c7nkAbCFrhhEp4yazF62ATqL8X6zRW5fVX4lT9WcWOa87dEa+ssgvsMZPGf2+rVyLQPbnKCrT3GVvuYEN6IxMBsPmMc4JoVONa2Em0WwpBjyllZbjqzWBNlARCCBnZFm5LV7JjDrz+7HXRrAAs2MlXZF0Zi8ayr9qVUH0NhZT85QT/D3Vv0iPZtuV5/XZzOms8PCLezXtfJlkFOQGhEoUYUUIqCZWEEBMmzOmGgJjXkBEDJiUxRGKGUAmpZqgkPkEJkJiAKFSCzPfebaLzcHczO3aa3TBYa+9j/u69+VKVL0tRJoUiwo9b4+a21157/bs8OcbFyVxlFkJTcpnmfmKdPMtFGIsp2uqOFFvJFhhn4QnMnWgcrqO6FjV/ecbgv5Vz/k4X+v9ijPm//5zvNT/xtfyjL9xkEb5yv8h/8t/8n9B1mGI5HiLZKS7/8AjWYbqWfNzJ19YAXn4w8/kZvECIed9DzvW4YB9PAi86S+478tBIbHmRKT9e9LpEk2dnsatYjleegKoZU6vPlxS5cAZ/Wkid17BRg42J5GQw2ZwnlRg7pd0iKsXiPHxZK7xYjjBQYDiBE9dBRFJWd6wywIuNOhN1pvKbQOcS6mtost/gx4jyAPT5v2soTsVlXmGVK5A6aJ7bDUEwsvtLQpAcSdwPnegahkxS/oNZZNdOHskP3AfyvfoCZvEMJIPxma4NuF8utH8ccDYzB8e6ysdxXR1vXl9ov3qidZF9s3BeBMeP2TCtnj/45kz3R4G7dmJwK0/KjU/Zcgktr7/+gfZfiQxuZe9nntZNRfe09HzzL55obahy4cIT+M14z1f9mW/+1Wc6E2hswJF5ihI6+u10zx/1j/yiObGziz6nqS6/75c7/lr3wFf+GauuxFFTgW+jx7/xTwCVBzCmjojQid/6M2/tBYBnfdwpNzzEA/du5Bv3xNEuYkmeWiJW5Mpp4N6OfO3O9CaxYhiTZ9Hrf/tnFuxfqAjknL/Tv98bY/4BEjryrrT5xphfAu/123+DZBGW221O4U/frMHsd5ufgDPKAxAykB178I7cd6S9TEdNEGIPgJsWOR4cBuK+xcTCHDSYeQFrwTviXUfqnJ6B5Rxopk6IPq0nHCXB2M1CBBKdvRf34c4RdqJSBG0YvMFNTlSJ6ifgpiRYuTf17Y29qRbnhawTG91BnCAVlTabi8zYVJJRVNWfn24gwEbdio3OMdasYavU3IEygFTrQFzc7l/NT8vxozRByhMIu1xRiqKILEQlgS3zxtRT27FylDNOzFayE44+2bzkCRhYZjHmTKnBucR0bWWnyIYUDHPn8C6yREdMvSQLa+exBkfjEt0gPPui9ANZkCEJ3v6LXhbSD9PdC6PNa2g4NDNftQtrdjzM+wrhXdaO1kXu/ETjI2PsOMeuTtcvoeU59DQm0jSRMbWMN9fn1PAQ9jQmcHQTF8X3z/HldH5vFxoTeIw7Tkm4BCkLdJiwNF5gwFMaOKWei3IJluxp1O0kYnhMOya1Go/ZEp2lNyurXVmz5TEN1Xfg526/swgYY/aAzTmf9N//DvBfsWUO/tf8OIvwPzfG/I/IQPDpz5sHAGAd+fUdadeSGpELo7stztCMA2nfy07tTR3sJYXvunkg9Q3hIKYgxVAkW4MJe1lYO8+6kxwDWwJByqwkZuLOsxzlDFkCQUAx/5gJB7Esd3N5bHTIJ+3vfCe7v+82N2GjaEc2GlMO1eVXYMdtaBY7g582Fx3B/21ddPLzUvUQNf24uB7PWz5jWeSSWCwDP3+VolWIRtlBHLaBZrvKgPTWT6DoFqx2AUVDUSLfckEAdFibvFxHeQI5GUnJCWL2met9Mmn0LEEm9enqxS3Y5homen7csew8TROZri1h8pIM1Uhn8aSCG2d6HseBZZY3ooR6GpNpXWQMDb853TMpj6BvAsZk3tsjnY3MyfHt5Z4peJKKdJI2s2vvOK3q5lt5AGI1XslD656P8+GFacmcxOf/F82Jc+z5zfV1LTKdC7xqrlJE1E/g2/meq4af3Pkr50aKTMyGp7jn++WVFgnDuREyUPS28gAe4p6nsKMxkZPvcSZxzNd6/VM8/KgI3d7+Ip3A18A/EOQPD/wPOed/aIz5X4G/b4z5T4FfsUWP/c8IPPhPEIjwP/5dT5C9Y/1qz7r3uuuIe4+EbxhId8ITGIR8Y4O0+sVsA/akzrIcnECIhaDjDNBLOEgvuQEC09kqQy678bq7HehtJJzCNwiDnO1CZ27OwBBmp/Zocl1kwze7vlqX36oQy8ItDDzQxVcKSDmLlwGftvu3duVyxpQzZDEaAerAs+zUgibk+prK8xd34aTW5OuBmlFwa3OeGznnpyZXDkHNcQQZhqbbgWoZopaZTMZeBUFIvfoFRKPzlUyaHGbU691NorHNLFPDfGlhcrjRkvpM9AnTR+Zrw4f1KK9t9NirI3WJtWswPnEdO07XnpQM07mTCX6buPaSKDSpZfh19ZzOA2FxuCZhXWJcZAI/hra6/V6uLa3m+S3RcW7FUejDdOBxGnieOrxNtD5WnsAp9JxDy/fjK06zXN83C5euFWMQk7nEjt+M95wWuf66G3/EE/iz8Q3PS0/vVi7tS57AU9jx3fyKz8uOo5+51wJyyxP4dr7nYd3/7Pr7nUVAMwf/5k98/RPwd37i6xn4z37X4764jzdMb1oJ3qDAX9sCwjQsB0tsTY3aquQWa8hOeAKS4nODSTuw0bLu7EusvvDjrRSE0JtK5pGJdyYX0xEjiy92ihaEcmaXBeOd6vh1Ql38ArIFX5iB+v7btRwj5P/FvTjsZLcunIGCHgg+L3kAbtK2vkVa8BsUI6mAp8h4y1S/vP5qM1a8BPMt1FjO+XXOt+3y6GBLpbyCiECO3JiiqsoO4V/UxKODePgbHWwZ0FRiU4d8OVrM6AQ6zAo/GqAYqCaDeW6keCaDWVA/Ar28uOoVUBORDeBEcTc+9zKoLHLnxRCDIfWRS+xlaBaNSI6DIfiM3a9VnHOaOqalkZTgqyc0Cd8FntA8guh5nroqKTYW2k6m8C94AuPA5drhXGLuPIuyCgtP4HEaOM8tzuab44z8fp7Xns/TjvPaMtqWkJ3kFcSWxkQ+rXs+zXtJWWoa1mwZ3EpvVyyZT+v+98oT+Cu7JW8Y/+CmPQedHANZ2ubluNlc1UGYnleXuPkFvLiGHBmWo+7E2pqXAVy2usB76iKX6b+etZ0y/DpZjMXrAHQHRg1FdrkCCka9COT+IjMu7D27bgvbJIO7qgzZZ7JLG7xngSxuQUU9mTSmrOzWRe1XJNAFBs4FbdCfD5+xo92m8GVSrfHnrKZKYeskO5gqJbZXmaKnVi3Hg8Eko1Jig3/yGPU6NFE9EIIhv0rkqcE/y+81OVUIjsojOK7kxdOc7GaysghiwNski3PyNOMmkDKx8Aj0+ujFj6DkEkQAizkqY/EsCIJZBYWQ3ATlEWQIj614V6jjsl0NHBA/gXPHuDiBOWcrXolXS3yduMaW8dTxyW1+A9nLh2sBHlbHoxtEkbg6lnMrtmlZDEnm4KqN2bQ0nC69hKwCS3Ccmo7L2tG4yOM08DgOOM0r+DmegLOJyyIMx5/iCRSG4k/dvogikJ0k/JQPdzHWrBr0WYMzC27ttg97SZS9jVorCxSUDLS/gR+R+9Xnas3mdKw7cPETMNHAoLum8t6rX0DBxzsl1ijMZma7VaOMQp9y/7BLNbSTLMOA1G88gWSRVhnAZjEDbrJwB5zAUMXzT3D3LDTdRGUS2tlKS144BInt/5TdWH4+jBZWuxWeKhUu71U29bqxiKlovLmGFlXlEdggSsZgNnis+BWIgIqtaBXZ9E08mV3A+EgqPIEV4UPo85jFYH0kI4YkNuhLVGTWzgbjxNvfjXbripChpF0M1ifWS1OhVrkuvyPfiPagzClsyS3Q+zufiMGSV0u+2hq+Qgk2MeJMlC8Ns8vKE7AidrOZ0HiWqWHUBO20inlKbCRibTJwvbZMq8cgYql19jgvR5VLbgnRsiSxQDtNHePUCrSZpYis0XFoZ6zJPFx3nKbuy/cTSB6WV7megUHP451UT38xdQcsHgJF4//C5VazB0xhziHCoKLpz41M7ommLtQ43WQW9PpJKszAaDbhi+bDZ/T++n0Fc88+QZsE61cji4CThZipPIPcAKvo0OMubXMIA3kQKq75bR5ANuI10MqZ2p3FjSceknDqlQNAm0iWjYY7JCUDsfkhZLfh40r4SV44FLlBXIfVXxDke5KXziFZHRIu2+8u25KiLEMxUVZSFNfb8UB/tyKUMsRMtSoDNn6Ih7aJLGNbg1IqTwJZ7G0bWKYGp90QXt9C7QDbNrKe22oZjkKkxYbcN5F17WqCk0GDTxrxIJxnT7o63NWUt6BuNG0XuIZWjhjL5v2QEtDIa7tee4zmBZSCmZAuztpEvDbEYCtHwGQDQY6gwWTSpRE9RPmMJUNwmfb1xPXSMS4Dz7tB5iGrdCtrk2h3C0/XHeexo+/lWLPMDSkZrv7ncwe+GD+Bv3X892HoMftdjSYvfgF8fBCewK4nH3YiGooRrKoIPz0KT2DXk3YdJskEGmvFrtw7sndViWinUO3K7eNFrjeOuO8ErlyFo5CdwT9PZI0mLwpGQP7vDc3zQho8ySmeX/wNW4u/BLUct5WBWKPHG4Ods07sZTdyc6oGqaJ7UJ9FVyi5OrjzVE+A21xDeWHczBY2so5YlstrF5nyVnCLk5OdkVlKK3oH+d5cOx+nxaHmFrq8pSXdmKGkNktQShtFA2AQD/yiFPSZ4W7C+ygceZu4zq04D+vH8c3dSOsinQ8MfuVxGliVrx+T4c3uyt4v7Ly0vc/LQEJISNfQ8NVwri1xYxKP61Atu8bQ8IfDM3f+Cojy7hpbEob304G33YU/7J44uknUeMlzjoLjPyx7vu6e+bp5Zmdn1iyuvkUKfI4dv2yf+Lp5xJGrKajwBCwRw70b+ePmEwCnJPyDS2pZFf67d2PlETzGXbUMP6X+BU8A4FMaasT5lBuO9so37szORBLwmNr6Gv7On/w/X7KfgMEcD8ITGDqyt+RGeQAW3LmHthFTkEEOkDkLgQdrsJdOkoIOHXFosEE1/dbQXHuwhuwc4dCSOodzxSAEmqVD0no8653KPVcnUCRgl6YWgHXvsWuqqEK2Bhsa4Qi0ltQa3JS2ODGrPIFuSyouGYvJG6wKf0oQafKudkPidmwUepNFXODJkjuQS7x6hqw8AYkmN5odwBbYsSKW48WSvEMTiXW3ittOnVp1Fi7n7MSWxly8F/3LAlCGe9nr8HAV5+WyqvPVSYemRWG6tDS9wHkgvIGsHoc5Gc5Tx65biNlwmjtO182HD+DkRJG3JMeH6cBp7uoiNybzaAeGnQzpvrvecfmtQM5HPzCoD9+7+cgUJdp8DC2tjXzW4dqaHR/XA6e1J2FkGOgEhvtlEzilns/rnuewkZE6G7Am8dadBcILB57U8rsxkZQtOzvTm5Xn2PMQDzW/YGcXsQ03a+UJfIoHRl3MtzwBoHIIHqNMnxfn2JuFaNdKYrrktl7/qduXUQScI72+Ix3ECITiwFP8Aq4H0q4lDuLxb7JChN5IEZj2xEEyBwqun73akae9yJIHTxiE5Rc7wfSl5R0wKbPuPGG/0USLCUjlCewdoZfUmVjvC7FrsDEzH4UVaAehEmez7bwmiwHI7WMXS6syCJRI9vwSAtTAkiKOKW28fD8vpMYvlHqNODEXRMBEgx/BFKKROhTHTrgANhjMkyF3pcsQD8KkRwAT5OcOvcwWqt2atvLlSJS8XispUhnZ/YNEemUHuWghVsuaG5kljHL+x2VSk8BlxnNXCUXXi0J8LmOahPOJx2hZo6VxicfzwKo8Ad9Gum6thpyNjXz/fMdVTUu6NtTzcWcDp9Dx3fkV49KQs6FrAnP0JAyOxINO35/nnpCsKvmcWHyT+bAceT8fOKuzUe8Cc/Lyp2l4igO/ur7hpEXo2MxV7mtN4hx7fj294Vl5Bl+1Z06+p7erFMA08Kv5LafQ4018wRNI6ib0bn3FQ9jT25XRt7QmcsxXYrY8xAMfwl0tQj91+yKKQHaWcN8T9l6GVSHVfAAs2NfiFxAHp1JWBBpr1E/g7UBsLWFnt5bXK102NNr+bhAjqJ+AAbIQiEK3tc6FOyD/Vx6A0nNjUxyBZWf3CiVW2/C0FYkSTV4WeU3PLS18uOEJeDYXIXP7OuTvciYtix5Ky4/Cg6a+pmpU0haDVPmZ6+DTZfEvrK8lEw7bsLVkDxShkgkS0V4KQPVGLF6MSf4YJQWW5N/immz1fFyfP1F1/3mR5GI3KwxrLLkVQk8MlnXqN55Al8mrJe1XUvQ8BSc8/9HLhL5LLKsjBsdVuQApaYT56CUMNDhm71mDI2TLZWn5fNrV4dvSraw6iUzZ8Hne8TAOnMeepok0TrkCKun9vOx4Px75PA54FxluBnBjkojxd9cjT3OPM5mpa5ij5+BmnEmcQ8cP05GnZZCZSrbMqeHoJgCe4sD30x3Py0DvV+bk6bQTKDv998sr3k9H7tsra3Ic7cTFqtNR7Hm33vFuvvvZ9fdlFIHGMv6yqyw9k53s5nqmjZ1YisuuLPcpHPhsIQxNJfFUW3DKAhGvgJLIU6y/U8ks8AIvxm7j7pdQ1OS1bX6RWcAW42UgXkXhKK+JeibPVhN6G5EBA9UZt2L9+jyxy8rdF0UdbDBmYfCVIdWtIUk5YhQa720REAGTLtKgCIjdHjgNskAF5ZDA1yIlBoQnkBQe0xh4G+WxjEWsuSen0eWm8iSshYSF/UKencR+U35+I+BHBgaZE9iTrwiPuwocy1E7wWixT43wL6KRoNMukXfiUxhnh7n47UizWtJgyE0kG8Pp477+DHY1AvH1jnxYCavn6Wknw8IS+mlgujfMc8Pl2vGDO7KuTuTCs2Mx0Bxn5tXz3HZ8uu44Tx3T3BAWqc7TbiEk0S90LnBZWx4uO+ZFltp113DpZP5QeAIfrvuqGgzZMrYNc/I0NvK89ny4HqopyVnJQp+DwH7FT+C09JxDx7mVx9m55QVP4Hn5wjuB5A3jV+7FDljVYUnO0SUcBFCSz/Z/smD9pR2+XQhxMKx7aupOvelEPmiBSO02Xa6Pa8v1jUFXIKnyWteDwITyuvLWsrPBj0l3URsQzFq1/W7ZOPo4cQYuEKgYmCiCoIWlQnNlXSWZ2t8mC1cfBW3NBXYrZh86kTeIs3IyWA3FLH6D1Sm4ZB8oHTns5axuonwt6NncjULUiX3GZpkN2ADxjTANm5OtxwSzCNKTWkN8BawGr9kLNdF4NKSvhQfA2ePGm7CWCGa08IskiUEnj9Mik4uUeTTwWl/rxW++C43wPOzVYu5kPpLPfnP7VS8Lo49T5MAECTcxCremnWNJlunS8piNdDKLFeQJUQWvi+dTPuB8FKff0UsQLnA2MM4Nj+OAd4lp9YwXIRJhsqYMdTwtA94knpeOx/OOpgnkbBjXhpAsd+2ENZnP047PyhOI08C1b5hiw9HPL3gCrf15dOCLKALZwXrHj3D8cq506n8Hty2rMgcVN48lH09ZcwVaihcl89zyBPQ5KsfA66BLz+plCm+VZCItuhprLrYWmLrgGh2SuSzS46QFoe4AACAASURBVEIqssohUExfCElGcH+yDCybDULMfa5T9uxEe17JS05CQIuhZ7bb+RpQPwMwVyO7n2YLFKJMgQldvJECl6GidhD4XNOAb7WgFba99Q6E7e/yO2v0/qu+vyW0pDQdHlyUY1KyWQw7MrVqJy/wo/ORFL1i8GAKzJjAJjA+kld1JMp698KvyHL/+dLir9vspvwuTTQ4H1meOlyxZ4+GnOXo1OjCzZPDrKqczEZ+VJ+rHXqelUi06BwJNWYpPIHVErKvcHAOwhNYm0SOErEGMhthtaRGErMnA5dLz6VvMUYGpmFxrI2TSPZZOATnviNmw0Wdj5qmpB9ZoTx34q/4eRq4zC39Pxc8gXth3W2Lgi1XYFQsXxdrxd2NFoESyNHoOTSaulvG3pK7TDZZ462oOD5ZWkUKv6A40mg2fCqwl6HyANgFUtDDr2K4ABgZWtFKtkAOVhCG0tUY5P4uka/yAY9DUlqukU93o69TPffSIDwA0J/bJ1KXsE9eAkX0eo0O75P4019sfd3CmdAiM4goxc1GzUjK+58l/MQAxorDj8vil2CLBiFpTHaukuIyMxB35SzmJs3WqMDLI4tB4FG7ylEALcBltlCOSn0TmU+d7AGVN6KVyQiPYL60eIMUVEvdMEwG7xPzItFnpK34Fz6J91H8BFZTmz6zGpxyEKaocwotIiaDmQRxadvAOvtqOFLJRglSNDRtIIy9pBaF8vnJEsXuBQ5dL11lIpbIihzEnyLYTDo3jBcvxVwJV9Fn8tvI9dKQFsfZD5LirJ+ftUl0+4Xx3PHsBj51O7FO08DXyd9W7Je3L4sn0HWYw47snfgJNFqjPjxIhsAwkA+DHDxDlMhxYzA3PIG86yAoKciYH/EEcuvFT+CWJ+AcufOknZynqgrR2R/5CZiUwRjRFnhL87wQ+5d+AtmKDNiPYl0ee6edRZKuRdEJQQOkPTYpV97AZpK6DTglf1EhRf2esrjgp3kCyW9HJpNzPcokL5Zpt0NEgSD1eic8gXKthMIUWnPscp0xFDuz+oHnJU8AIy12Wi3owsdndvdXvBp7liThGC05SfLw27sLvQ80VrIHHqdBZcUWZxP3/ZVDM7PzC41JfF4GQnZV5feL/sLezzTa9jwHwemtEZ++b/pnXilPoDj5pmx5XAfetBe+aZ/ZuZmUbY0WT9nwHAa+6Z547S/i6qsY/Zha1uTVZfiJr/yJxoQXseFRy+O9G/kj/1ksxzVafEqC8/dm5d6NfOUkO+AxDWIZnjsuqePeXfjGPXMsqcWxZ8FJIjEyFPzGXdiZzJrhKTUsyGv8t/+lf/Il8wQs5u5IHjpS14q+P+fqJ+DGnXAE1BSk3JJXrP8qRiTpbiD2XjILnAFjaNYtaCTc9aL5n/3GE1Dyzy1PQI4VsshaLZJhJ/kCImwytZUG8SAo8mO35DrgjL1Vfn8RIzluY80LtCzXDLbfWvMXi7wUAXWxKXLg8j3i/ZfV6JSaOxDV2s4EOccXDUIZVoZB9AlmlQJQfApSIzOA1AiPoFiSA5UBmD0SPKKL3103x2K7QlqsdDVKFTBXaZ/xmUzieurxXRAqbOiIs5Odz2WMS3w+79j3C60PnKeO6yQMOusSTbOdb0NydbBWosmHRpSC1iScX/jT85uaS+BsYvAr3iR2diFi+fX4mil6grYdhW/wRzYwxo53yx3Pa1/9DKxJrNnxR+1nPoc9H9cDz0HCRxqtxhFbeQLfr/c86S/74GZG39KbtfoJfL++rmSjN/7CJUmysCPzKR74IbyqfgMXrxb5nAD4lPY8xj2PUaTE9+5CS2RV05HHNPCYxHZchL0/vn0ZRcA50ts74r6lJvUYU3MFzHIk9Q1p8AKFgfAEGlnodj2SWkfYe239XPUTIIt6KnVOjgZWdubCE8imVw8BV+XAhQgk/PwOkzNhsITO4FbB4OW+Bj9IO1gcgG6NN9wifAaTc40wz+a3hni1XTYV8Si3aile2Ibxpj0uxB5dlP5qattbosuDWraZCM2laCJ0BrOX41MhDPGsA02nPAGFAWObiVGEQ0VinMrxQ+cAtSUuXgQ+y/FJKdrmauVIp8lFZEPOCAR4bWCyuKsOENtE7sVbb5kbrIvyPVfhCdBk0rCyqKU4wDh2hKsXbn8XmftVMvmCXP9wOjBNkt3Xdiu7bmWOHmsSj8uOH87HOp3fdQvHriVkiyPxYTnw/nrk4Sqfo12zMkXPpd14Aj9MRz7PO1I2HNuZOW48gVPs+f/Gt1XFd9+OvGk7eiOEojk1/Nn0lge9/k3f8Vp5AiAQ359Ov+BhkdCTk8aWxyw8gefY85vlLe/XI6/8lbPraU3kojyBUxr49fqGj+vxZ5ffF1EEsleeQC9hIwKB5coDsK8HQu/qzgrIcLApWH8nCUGaKwAFphNGX8kZSP63LLysbGlix2VqgSn4vLTaVp1+9H5q2FHOsNlaYdg1RinDyNHAQpr0nNtY4Y1rrHnxDKgDvlIU4sYTMGlb4KUIAJU4VMVJhVtfiktBN3TXr4v+FtPnhgdgIEcICssV2XCJFyuIR+hzlSeX7IFye8HxL7fbCHWVEssZFrCSyZezERXjJDOMkoiMdkg5wXrpJPRztJpslAleTDfPq5PZy+SwV008Wi1TNsymYV4ls694EuCFexCjrY6/0+p5Pu0Ik8dqh1FyB6bYcFo6HseB86XH+cjayS8rZEdCeAQfr3seRzEOXQe5bk2uPIGP04GP4x5rJHgkJMfOLjQ2cg4dH1UKDOCNZBsc3SsihnPs+bgc+DTv2fmFNVt2dqndylMc+LTueT8dWVrP6h2v3Fh5Ao9xx8f1+M8BT8AbLt90FQP/bblvGFppt8sCMDeTeSvBIbFlm0iVhWAhece6Ny92WBuFuotyEGJnKnYP2w6dfHEj3hafXalsPRB1Y+zQttzUMzkGXKfwYyc/lJu33b28xkLosSvVrhyow0Q52+cX6b4FnXhprFqKhjyXiVSjUjub6lNQ2oU0CPRo1UwzqrkI5bW1iRxsdeTNjSANNgKLIb1KdfGRNh6Fm40Mye5kAGpHW4uqWwBEzkuW4aA7uTrXcIsMY7MajaZgsRdXB35u0iJ5lzEGYjEkUQ8JE6zcfxfAwPiw26TAha05W1abicFx/ryTxy7R4ziuBqzNXKeGHziSkiVOHqIh5IZ0Z5hXz4Mf+N7fSTG5tvK8+t7OwfM893QuiJ/AZUcI8kOu0SqM5yWafO34OO5ZgiOrl8AYGq6xpbOBx3Xg3fXIHDyPDJw75Qn43Qs/gTG0nEPHs3YKnQ31+odlS1D6qdsXUQSSM8z3N0QVs1GDbRR31pIrINfl7yp5zXr+1cJQigRZdvhim1U+TLIFyl+h32K76mPeFJHY66JXimzV/OtryPtcd2+5TiXtpGbjCWAycRGi0i3noLTscZc3e+vq1mMEYszyOLWLqbu/vC6rCrgKlelEf/MQUJjQbt3Irdy5HktSFmOQ7a0WlWaEdSjwpdI3FPdzc5l/CDxoF4TUA2prZmqwSVabsxgN8R4JJtHo9+wzZpYJfXSZFCxm9FXdVzYGt4jzLtlIAZhvXixU52nypsY0gWqKYmd5f1Iy1Q68uh5ng7WCUsXZV/jOrIJ+mGRIybIulmlsOUP9HtQvYG4a1tXxfOkVhXA1Whxg9olP0XGeO5xN4h9wHnBegk2ebaoJRyV34PM4VKZi1A7g2kpr+jDvhSdgMlGLCMBdM+FN5ON84GHe4e3PowNfRhFoYHq7nVkBio9fTZ+5IeSQb8gfxfL5xhKrYN9GlW9lkp1ecN31Aw+VI5DbLHp5nXIXkknhytfILXXbKdNzCo/ep/qhkUyCvFmOe3HmFa998dtLWYuLSmpjqwttlta+eA2YJGfv5IVwU6f0faosv+zF9suO9kZanYTIovBqahMmWUlg0ve6+jaYXAtheXx5s7aildqMZZMSm2SqmQpsHY9dBREQiJGNGakxZH4ywhOYC6tK+RitFMKmicyLw06ygI3VhW1liNk0kWXa/AIqU1ILeNNEpueO5rIZ1ZhZ3+skeYXzw4C7KE8gCTyX2lyjx9O5qcNYE00NYPVeYtHz6OWzqUUot6ZSqZexJUfDohwBU9ibNjNbObKcdS5S3JmCT5hWSFCPq6PRuLR18cKsbBL9sLAEz+Nl4DgcWKNlWhrWxeObSNcIj+C569k3CyFbTnPHtHq6L11KfGff5r/V/3uYthXXYe8FeLXK4X74jGk8NC1mP1DF6iW6/FmiyU0rKsQaaw7wfMY0jSQTt43ElGtSMcZgzqNAkQoTVgKMhdw12OcruRNLcpzKjL3Elidv8edFIs2t7qoxaZaBw42rSJT1HGmXWAeeqbG4KYrCUM1T7SqoRi5S4pAJvbwHNm6/pyI1lri00t2UI4m03sVzsMwcqrFMKscZU4VIlS2obsdFZJQNNQ+ikLZAB4dOh4DKwTBqM1aJT0MSKbETr/2cTY0mx2SG4yyOujbhXWJVM4yURMTzaphwmt3X2sg1yKAvZsOuWauMeHArg1t5XAemKGahrYsc/UxnA51dufMTn8OOJXliNqRs+ao9VWptoyjAnDyPYceb5lKjx4sX4Dn2rNnxFAZ+2T5xdNcaSw4SPV4ku1/5E/fu8uIzfopDhQiP9sofuFONFC9S4CU7ySO0I/caKjppBZ5ywyn1FQLsTSZmGLPT8FHLlD1Hu/CVDTRGurFTyvX6v/bXv/2nhwiNMffAfwf8Dfk48J8A/5jfUxahMQbTd9B1MPTiI5ASOCfVfxzBOskk2PVkazEpka0VgdF1kkV8GEh9+8JrwE1L5Qmkw0BurFiSW9mN3bLK9dYT9+023NKJvVFJc2o9ubVida5ineQtaXGkxukwUJCNilzQCBrRFcKPLqKC8zunnIJNAZjVgjw7U30RMZCSqXblJXfg1lLcLfLCyxBTIEI1VlXRVTmKZCfGooLvs3H3F30+v8GLdjXklGtHJhRnyL2+UREM0t1UFWPe3sasoaNJQzIADSzVY0SSEI7r3BBUEJSzYd8tNQB0ip6nuWcJwhNI2eBMovcrCcPDsuNxGYjJErKtEGBnAxHLb6bXXEJb/QZaK1bhcl3ixq+pZU0iKjrbTgZ3JpKwPIWh8gTW7Koi740/qxV4x0mLBEBvJHG4t0v1AZAiYGh0wnvvRhwSQ/6cesbUsWTPnb3iyOyNoANj6rjkVouMJ2bL3iw4hQAv2dfvkV+HZW/OdGQS6PWmXv+p21/0OPD3gH+Yc/4PjDEtsAP+Lr+nLEKsxby6k1yBxoPXRdMIycafBuEQ7Dox+DAI5dYqRHjuhUew74g7j1kTuVF4cT1gUiJ1DfGuJTaiNCwyZJMy5EzqG9ZjUzuMatqJLIb14EmtxQQJ9yzXku/k+r4kKN8MDffCC5Ao8u2sXWcf9W95HWFwkoycNzORsgvblap0zKUI3ASHpGl7zGJJHnaoOaoMJU0lEck18Q2UgZu/CkGoDD3DIcnPozyBZtq6inr8ujm+uFleZ/Zg0QFf0AFgNNirozpCAfPYEBqHsakGiwLQZFYDn057hm6h9ZHTtWO6SoF2XgrDrVT447jnMrU1mvx+mHR6nmhM4leX19VvoHWRu27CmsTBzVxjw6+vr3lexLd/8CtrcjgSvV15CHse1j0f530tICmbGh/+MRx5vxyrm+/gpDBFLN/4Jz7FA7+a3/K4yvT/zl8Zm7YWice45zfLG56CdApfN89MuaExOtiLB75bX/MUBxoTeeVGnEnAMxHDQzzwKR74EI7s7FJ5AsV05EEtxz/FA7Jv//j2O4uAMeYO+NvAfwSQc16AxRjze8sixFnSca+5AhvptCxk9+pAGpoXST9F7os12Nd7IQPtJNqcZjMNsXcyTEitIwxiUpJubMFNUB5A74iDrfOErIzDMiSMvdWdNVepcLbiKAwqNdaXXoJG7JrrY2xGI9vuXp5L/m3qjCGb0jncDDpLorG29pVsZMTsqHgPlLZfjEMEBqwWaDfFRzIEMkYVkbCJl8RPgDrryI0Ig8rspEaQG+Uh6FGoJiR7hL5d9AGTWHUVjUahbKdoSNdWrisEmFMiucRqHDH0WJfkjD0KTyBpYnGMlqCS3/PYsY4txmZcGzHAdW2ka8Dw7nRgHCUOvO1CZRU2JvG09nx7fsXp2mNM5tUwsUSp4t4mHpY931/v+DhKEXjVTyQMIQvM93E98G6+4931SMqG153o/YsseMqeD8uBd1eB6L7qhVV4tBO9Xbmkju+XV3ycD/VzHzEcrVT1UxIp8IflwMHNtfg0SJfynHrera/4dr7ndTOyZsednepR45JbPsUD3y6vf3b5/UU6gT8BPgD/vTHmbwL/O/Bf8nvMIuy7Vyxf7wVPvxHxlOjx7A6bEYh8XoFtsaVmJ84+jeyoclYuu3lL6K2eozfosdBxkzc18afcKkfAQmydPFax3E7mhicgCsOSNeCWsuvLYhLp8GZBXtyCU3msUnAK9KnndSg//7ZwrYpyqvNugnDIdfCW2k2sU96/2IMYpr58XLkmb4Tk4cF6l+t9s0GlxPLzmlXMWqu9WSs6BKppKj9SaZo2iUz3RqxkytDVIAhGmdDPAmnaxZCzJQ+GnCRybH3qlJFoZarfWIJPROuYp0aOGYuSkayQvi7ZcLWJp3MP2bBeG8zVEW1m7T0hWE7Xjg+XPSE6LmNHHL2yGw3PU8fTvEl4T1PH5SI86pgM17XhsR14XAa1BB/4fN6Rs2E+epbkWZPjk9tzCR3fjq/4NO6JyYghSSt24YUn8MN0x6dpz6wBKNeuqRTnc+z5fnrF52Xgs91xjkJSGpMUtcJYfDffcY4dp6bXLkOKymPc8X6944e/JE/AA/8G8F/knP+RMebvIa3/z93MT3ztR9PH2yzC4/2/kOfXvmL5VQqs/06Nmn64Ddp7Qb/t1ZfPsUmMFcbL1hF2ZlPKsQ3PxE/AEnvzovhUIpCaicR2W6gFbio7dOw2hWNUJVsx/ihteeEg1DO1vf3ZZOcUMQoViiTLzivtea6x3gX1KAsvO5l4Z5+3TqAgF23WhVdec64dR7EcLyKZ1OWXcJsiHdW0tBWugsm6WG0mZyHxGEU5jNqX15mAknwKy9DNBlbJFsiFJ3Cx2jmojDkbUuEJrE7QGH1LTDBFJyTv7+zE0FMHliV7gKM8Trg00oksIvQy2ZBXQ2gTKSbGZykSBaUw2TD3DdYl1tXzyI4YjfgJRPmeselYgmdcGp7mnmlpGCfRPaCqvpAs19DQ2MgcPQ+XXeUBfJ6GOnvo3cp57Xg/HrUAwKdJjhUlkuxx3fH99Y5raCrZqLOBMUkh+Rx2koC0dkJ9To6dfcPOzTgyD0F4Aqf1L5dA9BvgNznnf6T//5+QIvB7yyJM3nD5g81PoOx+5RdrUibs1DiiLubNrgtjKk/gVkZsA6wlPrwkAJXH1YWyKNOumHnYAv+VIZcKaCoBaGarJgqrJaeLQLX2FaLM8ripgWJ3bUo0uEF2/j7L4jywudMaIG9OPibKTgzUwJJcugIji7d4HtjFyODOZGnn9U0tP4Ma1lAsx9GU4WzlZymZgnIn1fBHiPssgM1SXqM4DhXz0aCBIW42IhU2AmcWgk9u9P6zzCjW17L4xGhEjibVydgJjGbOcowo6lAT5f0rPAH77F9mRaA8DZNFATpq8MnNnKYwE8PixExksVvxNYijUbQsowwyjUrDKe7VwRJWx2W1UhhWeQ9RePDiWq5zw8PTHuuSKPkKG9HAyWYuc8vH8x5rE0vwXK8tziWcS3wEPk8Dx04sw8e14Ul5At4lJk1GetONJAyPs4SXeJvIwNi1zMlz34g46uOy59O0r5qGn7r9ziKQc/7BGPNrY8y/nHP+x0jq0P+lf/5Dfg9ZhMnD/JYXHgIF07cqUCnZALfYdsFxk8v1PIqRYRa6Y9a0IZcVx6bueIUkUqW2KmO2k1R9uxqxtCpceZ8Iq60fnA3/1Q9Rk4iFobZqd6HmHLnJxJLqUxhqN3Lo1CZynyAa2R0t4hdQ6cKZ3KVKoTUmk/qk3gP6GodEQq2wkzDv7LodT3KXSMluPIDbomukO0hsrsK14N7wBIAXHUOlC2dTCVlKe1fiEpufQKOLV3kGtrgPJyOagFZaON9EwtXjSppUNOJ56IXV2KiU2C0FktT3OUkB901kuvT40W4cgkBtL30TCY+t8Ay0gNgbnkBYHeniqyW4DfL8uZXcgWXyIgcPphrBFD6JMTCfOykchTOSBRbGZRYfWa+6KytHoEiFTSvPHYPls5OOIAaRAtsmsdvPjHPDw2nPh16OMsvqCavDN5GhWzhPHQ/tjqERn8XL0rAET+t/3k/gL8QTMMb86whE2AL/L5IvaIG/D/w1NIsw5/ygEOF/C/y7aBZhzvl/+/Me/86+yf9mJzwBu98JNFggQmM2noD3wiPYXhiVJ+A9phFHYhMTNdb88YRpG7UVFz4AOW88gdMo0eTeCYcgZ4Eegdw57GkSfoFXtKHAj40TLsB5JnUerGBjEmEm7sT2Gjar8rzxBGLnVEqchDPgZJbhlkRqZH6R9WuxVZ5AyPUDX67DTddUj0lULQTcdgz6PXqMqINKr1oINp5AvEk0jr0UyUrM4rd4Aq16MZQMhjLnGCKm23gCKRmRE2u60+6VSIlveQJLcKRk2fUzd/1Ma8XTr7WBy9pxWVtiNrzqpioj7mys9NrSDt+1Vw5+YdDY8YObX/AEOht43Yx0JuBMojECGRZJ8etm5OAmerNiTa5Q3pQ9Y+z4unliZ2daNQsFgfImHby88WfubGm55PaskuHGBO7sxBt3JmXLohX2t6XERyMow8YT8DV6/Ct3pdNxy0WHn2u2LFiOZuUrl3EYIpkxi6R4yZa/8de/+6fnCeSc/w/gR3fm95RFaIzF7nbCFRh6Waw5S9AfYMZRCD9DL5bktuDNUgTsNIufwHFHGhqREqtfgFuDFIrGk449uXGbX4Ax+JgEbmw98dBRIUIDxfS0LPjU6n0L3u8MpJbc2po7YHRSn63BemUG6kI26isgmgBD7GUnkiJAHYwWMtCtG5INKlCqluPmhaW4m3Ug2pvqNBx7U3kAEtSqXZHfeALibYie9anD06gehDYYUG/FQss2xpA0OMUEI93LZOqOn30mHmRzycnIbjZbCULRY0oIDuckWmsJnnmSQI5y4L91wjkvHc9TV8lE1mS8TXibSNnybjpyWrrKISi3tg2QE396fcvT0lep8H070hhh2K3Z1VTgkC2WTET+FmPPho9BUocL2ceZxGsvUuFTHHiKu8oTKDwA5zN7OzPlhvfhrpKNDm5idV6KCJEpNXyId5Vs9NadSVh6/4Qjc8ktD/HAJYmT0OLkOe61nTopieiUBhoTmOxEa87sjCRYPSbPKbWc0sDPncq/CNow1kjoyK7XXblAZLqQe138fUfuXCX6yG4Ptu/IbUMaGuLQ1EWOMdj9ACmRO7mWG6vYvd53kdYtqSU5UO9bFIoyk1CeQNrgRRnyyYcutjrggjqwNNHWAWYR0WwFZtvFC9Yf+huY0W+oQiHyFBiyKPlir+fgG9/DyhPwsO7KDg5MYp0uRCSFCDUNyE0y64iddAbJbQpFu8gfv5Q5iL5mzR0wQaizpQjENotvQDDiCxHk33Z0imLIaw2rvtcZwuLFUjxTlX5P48DQrngXOV17rmNLTnJUGH1bgztr1JbmEngv3UPCVEOR7y6veJr7yhOwZBqTuPMT59jxfj7yvPTi1NsIBNjZwNFNPMWBz+uO9/ORkCzHZhYWIZl7N1YI72ERCPHYTBo7LtHjz7Hn/XrH+0WkvG+bCylbjvbK3s6c0lAtw5MeGyK2FokxdfywvuJJ/QISVr0Itg7kUzzwbr3n6K6sztfcAbne8Jh2fAhfuIoQ70lvxDOgEISAjfAT7utOLHkCuqi8LFaTXpGdOsm60rIqnyAP4AzJ2eonsN0XspFwEokvV5pyWayWKgsuTL5blWBhA5aWWzgA20KtDDyz7ejl+357CFrgt9tAkUIGMgmiIgu3CsR1j5y5A/hmO5OXI0HYZx1mFim0qbv5epBrcRDyU1KevkCuVKlx6JIqDV8OGMuwLjeZvAosUUNRfK5+hSQpAO5q6hwHCzkK1l4m/P5iKwEpKCFonqS9DpPHnB25yazeMdrMvHousxCEpmtLOEuGge2EJ/A4Dlz2Uiw+nA6M5w5jM00bWKLjtApN+Lx2fHt6xfmqvv93Zy5rxzWK4+/TOvD9eMf7s0Bub/cj177hmoSB+Hnd8e10z3fnV8Rs+OX+mUW5AOUI8evpNd+O94Rk+eP9o+YOhMoT+Ha+5918J/mCCLegV8bgJbV8v97zw3wnhiSpxZJEiYnQlb9bX/Pt/JpX/srJDfRm5ZJnQIrEt+ubvzRP4K/8lr1l+uVBFpAuYpM3P4HU7MRgxFGJQrAt1tj1tYUGQRPqIvctoSQA3ZyfC08gto16CVBFKDVXwMI6uE0lqNh+DR8xwrIrO3RxFaocg3XbtUGKwi32XynBXgvGTXcgyEL5nrzlA5bXkcQDIGsRSN2Nek5hwqgeANmAURizWLLnmyFfNrAeJYSktOO5S6L1X6yiE6nOBEouI7OruH8Y9FihfIfiUYgq8LLXo0nxbDRINLkadkLhCUC6QwaNCYkNX0U0ZSYhFIXekZwo+fLkpNOYBEpMnePiMtZkTudBHm8SLgHZMLeeZ+Aytbw/HUjJME8tUTuRB5ewNvF5GvjOv2KJjnFpGC+9nhQzp7njU7fnfXvgtPQ8Lx1Pl0E4F8AYWq5Dw3f2FZfQ8eF64OMoPAJrMie1De9s4Dn0fHd9xed5xxod3iSuXcOaPI0NPIUd7+Y7Ps07Ptsdz0HyCU5pwJF4ijvlCRx5Dj2nphcykQm0yjj8uB75sHzhpiLJW5ZXvopWyq18gEPv6xm53goXwILZSUDI5iewta6xcSIHvtlhdC0XSwAAIABJREFUi0xZcH45n1c//xsIDgvsCkxInXzXndxA3m+GIyFuOy3Iwosl1jxDLFN1uw3sSmx51NwBKQR5E/IU2/BC/c7lZ6BKbC0SWFlgykpEUuzeoN9rt+FebgSJQD+4ReFXkSQjb3BJ5Y27XOE2uxgBLRKK8ys6kVRfkFVKPDvcxSpMmnFqsx4RMlCe7cYU1Mm/WQzZZIk3X1w1Wi2/U7sUnoHR3ANbVZ9AdQfOIASgEiqrxdGsjrB3pGhZJy96hnX7bMyT8ATmueFRpcNV+JThOrcsLjEuDQ9uYAniJ1DG65e5rX4CQ7MyB8/nUQpEzgL/XUPDEh2ti4yh5f3lQMqimSg8gZAd3kTxExjvCPqhEp7AfeUJfFr3fJzFL+BsOkJyNOYrjk6OJYUnsKSfX+pfSBGAy9d2W3xlcSc575KVB3+zwISWC8Vco7D4gLqbVZehEsllyiDNbDRcZRbGTqA+syosqUy32N1QZa2QdmShyYPFXhZ5NR2ZZSGVziKVzAJ14y2LqNiQ1ym8wldloQGV4GOChJIU7/7KYSgGJMX6q82YpcCm1G4G9PVoqvHtojEKUZEl2IPF1EJhlENgEkRFA+yioiSDui2jjMIkCz+r5TjIay2BJK3OIJLBj4Y5I9HfKxXCTDq/sC4T1FCkeiU4LWgZQRuiwWo6c2VKql26sYmwiOFI5ZLoZ8Yk1PFX6MoEsyVB2YyxiRQtoRSQycnHygufIwTLunji4qTTuQlZxWYupVpnESsljTE3TcK6zMnACfh43gtfITiWxWNtwqsj8IfLnkO3VJ7AZWrxLjG0UlSeloHX3SgZBWvP09TTuEhjE1MUhOPYTKRshWk47/5yPIF/FrfsYLnT3bbQYHVKXabSsddhlN126+o10JQPmba45UNcEoFKbp9GnbvZCP6rHILimZfbbdBVFmMxvCh+AnEQxZxd5bGleOjZ2CfSXtpWO9tqJkLWVr0XW28J56Ty6E005FZ255zMCxYehffvxBYcYzGTnLVxUliyzZUHQJZk3xr7lbfjSW4SKTqcFpFb5iJWfsacDFmLZ7b5pcdDk0lZC4cWrRfXfSZFsLrraTNRd9ESoJKzHltqsdGjnRd1ofNRAjvCVrRzo8ani16fW/y6Vf1skeCQIGakeW7xk6nHqULOAnAusy4WO5Xhb6F0G7xPhNXoMaV8Bg05Aa3cd1lNRTtM4SpoBqO1WXgCGeEJLGqt1liiyyzqmWhsFkOSG55A7KLE2AXHeVTNS3SkaHBaIDKQ0sCp64jJMK8NIVi8T+y6hdPc8tT0HNRP4LK0zKun+efOT8Bp3+90UPfxQXgCXYcZlGhROALWwOcn4Qn0Hblrxa68xJo/Pm9+An1Xp/nFq8A8XwSR0D8m5w2daJQnUBKSQSTM3lIsyKufgDEiUQYZNHYOswj8mFolH/0WT6BAfqIcBDdFtSC3Ve9ffA9NyuJ03BT40LzQIJi4QZtZ/QSqHRs3uyVS+MJQVu42syhdV9JjDFApv+amgyhhpsLl1w//Isy6as22j5g2YVzCOLEcz6uVouYyu9cbT8CYzBI8yyLJxK+OV+6HK42N1RHnee4ZVwkN/Wp/5r69MrgVrzvc0zowBqHsfj2cOPqJwUlL4kic1S8gKALw2o/VUhyoPIGUDa/9yNFNdDphT9n8iAdwVB7BmmWYd0kdcxL13xt/5q07A7BmL5bhqWPJjt6u3NmJb9wzC7Z6EEy5Yc2enZm5dyNv1U9gTL5ahk+p4c5OfOWuHK1hyZkxC5eg8An2JvC1S/TGEck8pciUfw9+An/VN2MM5rDH9CIJpvGQhCeQjcFcRkzXbdHlxlSOQDYGd53lew87Uu8pqcSVJwAbT6AscJUh+5wRKXFL2jXbNStDSK+8gdSpTTlssmA1Rc1e0AdROFIXo1HNfS7+/5qK/BKd0PdAMf6KLqiwSa5l3FpCQdUvoNmi10wAP21Dy2Ibvu6l1bWL8ASIqNWXYT3Kc1u1G7fhpgOLEo8GBULUY0zchrHrMUl02moqfbhqFBKkRnjZORnS5GE1El5ipWgUnkBIllmz/JKiDJemFWvwRsg6l6XlPHXCz4fKfgv6+3iaB56VJ2BNptfFb7Xq/TDd8TgP1cPg690zjsTOzazZ8d18zzm0LMmzd0v1BdjZmTF1fAwHPq87Qna0NpC09dk3M6fU8yEceQo7UQcqL7s1kXs7MmH49fqWp7AjYXjtL6zOc7RiSjLlhl+vb2sR+cPms8KAkYbEJTd8G16LYIjE5BpJNEZ4AmPyvI8HHtOO3kiB6c0zq4aWXpLlIfU8ph3w7U+uvy+iCOCs8AT67sWui5Jt/H5Hbhvy0IqfgDWVI4AxWOUXpKGR3IGUN3hx7mVu0DkJCWkKDGhkEa+dim2K1NhsQ0QDJrcyae+s7Oi3C1i/V5yRrZ7hb5AGneKXfyc19LjlAhQTErcWZGHjEYTS9CRDntiSknW3X/dmm5vcnP+TE9Vj2CkZqAE00LTAjKHwAFZ5D5nB6OxDDFblDGxVRtyczKauNEjr3kjQiru4LTC1tN6rhS6qB598D0Bu5LXG4JhBzt+zE0txgEbO3eepY17lrDxOHdNZztquTYxzyxodc+cllPM6VMVg0wY+OjXW3Ikn34frgYeLWIIP7crgV5zJHPzMOXS8nw58vB4IyfLN/vlHPIFPy4Ffja8JyfKL/lx5Akc3cYoDn9c9v5nuCcnxi046gMZErBem4eew57v5npgFUhYp8cYTeIw7vl8EQmxMJCI8Akfmkjoe45736x07u7AqfFhDVXLHY9rxm+Utb/yZNXuRIavpyCkLT+Db9c3PLr8vowh4T/zFnTDzGlfPqoXQY9Irde8Rn4BC0imLNZs7cNJml/a5BoSwk4XnJBWoLKB6X9u/5AFwu8iVBKQL7HaXLtfdDcGn3Ld8fx04lfMxOp8onbgVK7GiQ3iRSZAFdhNRkM5ElEFYhl2hpCErkagORvXMH/Yyc/DTxi4sQ7JwSCKL3mXlWOgsJclClfkJWxS6eanTyCXWqgz91KLsBU8gSvtvgsxusJD0vUnBkKKXQM+rq1Lg3GRCK5HiM8IizKukF2eXiU1m9BHnEpdJCsM8tcSTdHFr53EucZo6Tho48vm8YzrLv69dIGXDw7TjaemZYsO784Hz2AuvAfjkIk9Lz2M/VIjvh5P4Bax3YkV+jh1z9nxed/ww3fHt+RVrdCx3jjmJA1BxHPqz61u+HV8xR086Ws5Np3LfwhN4zbv5yHkVefCk9GIpAi3fLq/5sBxpbeC172lMeMETeLfe8/0iASWvnBSXW57AD+s93y/3P7/8fvbKP8Nbdob1vtdz7gbXVB8831cqbnbbObksttS0FPptOfsmX87HXhayudnF2L43+Y0EVBCJulCNnq2VHFQWUEVbynXlDZQzO/zW7l+cbtVPoBYBlSQLscjUxyz3DYO+pl4Wevl6XciDwoeN0nuRa9WbQAedsc+gKkspOGqKqdLbbKVg2OXm/i5LGq9CbrHP9fmzRXIF1K23oCRWp/c5UwdfJlgoyIKadhrtlEg303Wjg1zKsM4Qo5EharAyJFwtec2Eg0B8QkcWnoEt6cTBMPWtJBtdW3LSTmOWaraulksbmJzn6dqTQchGsydnOE3iAnxdm4rdj0vD9SrEpFPXcV0bzl3H0zpwXjue557na18hvkVnD5+8+Am8myS8JGXDh+bAnIT629nAOXZ8e73n07QnZMvHRUhJjkxjIqfY82E58nHe09ooMw03VR3CU9zzbr3jcd0xJ8/aOF65I72VEJJP4cDHcORzuNHc/NbtiygCqbGMXzfaRt/saPphN0e7ufmY7X4vPQd+/HVh1TldqNu1W9houZPWuQ7Hlpvnthu5p+yIbi5PIn+iOvNkt0V23bIDY3cjwCmeAYUk1OQKXVrV/ZfjAyisWey1h627KK8vaRJzwuhuXGzLqSrFsrAKVGknrWblcfV7o/IVqsKwRJNrcQpFS6A/I4BZjTD92qIAVClxMMQMZrL4i6226yYZ7CxFKCRZ4O7iSF0SvwJlLWarPIGrJA9Xu3SNdk9ASoaswa3l/ZAiJ9h+yoZ4bijJwTWPIcGyb4RHMHkpZLEQreDai0PROSOPo50ISsR6HsVK/EmdiNbVsy4eY8Q27dENXBbB/nsfmILneezVbBXe2QMP046HeY83iSl6Po0CF+Zs+BWvOXUdD8sebyOntef78U5j1TLntSNhuPejUKbV+kysxndc2o41OV43FxyZj+uBD8ux8gx+6vZlFAEP4x9sbfdLqTBgJDug7M5FQ25XKh99Y9dRd7RqHqJ212VHLoMuk2QSnm2uxiElQKMYc4R9ruYfWOUBLLqb2qwQorbAOkEvXvypzdsZXmXKZCHYSIHJteCFrpB9NhvrbWovfILUJ5Ji6yDPmbPBBS0oXSIbWwtBZRiihbIVCLHkCsqTyGuSuUkW5HHSQlCu6WPdLnRxLNLBZTBwu9BXeUK76PsYIHd6/0Ioigq1Bu34vPwO7CLe/2H6/9t7t1jbsvS+6/eNMeac67LX3vucU9UX2w3uJiYXHrADCFvwgIgQEKE85SFWpPjBEjzwECQkFAuJZ/JCDBKKQCAkJMQt3CILESGTZ4cAURAYkzbdrqqucz9n39Za8zbG4OH7xphrV1e5q93tnNNVZ0hHZ+8111p7zr32+OYY3//m1T591kmvPQ+1iXcuE0clIp1qMDD4UgyGcwdfz1/yYhzjfGK87rQ42Gcmoucg5ng03bWVaORSsVYzr4GhqWiH9HYOJjU/+JY4a4MzWTo1GeUJhMwNWlxeOmUQzrMjRY/zkRASKcOr/YZVq03Rw6AQXwiRTTtxnBpe9RsuV0cNKpla9mNL8JFNM7GfOq6nFbtmIGbhZlxzPa5o33qegIPxQu9c1axTwBmpB5QCW5h7xeii+AnEziZJ8dSzpJzyPsVPIJtxSNyIetonfU02U5DcJmISZovGctHugCX2vEmkjfoFlOSeMlFz0Ltr9pnUm93ViQowF8+9Jiv0P6oPAOgfLg5N/clCSl7v+CbRzUYswjwFcladui7Zy+9Nz0/BDnfy/gtPgCaTkxKGCvfAwoCW74P1PJKYOYnthMSO5YUslcvKrGyVSmHL1ls4KUJg59mgRieGj5ceR0Y/29xkvFc2Y7VKM60/Bhp5n5gn3bNJxKLllxsHYJRm+9oKxampDFZs6xYHK+A+MSdjIhYew4yeb6M/expU8FTyJWS2VVtyOJcZB8+pnwBZyE0i+swcIuPeGjQnTMQYAnMXtSgkx91etxfJosddk/CSuZ11SXp9VEFUjBqrFkIkrhzT7HnlN5x1g/YoomeYAt2JKvOT4+3iCaw6ZL3W3AGD8BAhPXuBNAFZrcB4AtUvQARevl6kxqcyZBHklXIICF4zCUQoVuUA7nqvrymoRGJBJ7zg9oOKmgp3ASpqkVqPP06kVmvp4mOgx9yUDNJzSM64PtbmpnIHMkWoJOmEJ9AVT8TF5cdNyhOIndRjsVNloKoM9YmFXh1bqW5KpzeBbFuc6UyW/T/UFZZeF0xny7FyfmUSpQam87ToLHyuST6FBBUv55owDCj8Z3defGb7/sG8BCJT9LqsntRy/OHlnkebfZUMH+eGw9RwHNU89BuXV7y/uiNIMp++lptR6bhzdnxr95LzcKRzmk48pMDNvGJMgSEGfnp9dY8ncEgth6iOPMElLvyRh+GOjRvoc8uUPXdxRZ8UnnsY7ngY7ljJVPH727Rmyp6VTDwMd3zF3+Ik1WP71Grn3h85dz0/Fa7VTj0HbtKqcgUu3YFHfs/7fiRmuM0qBe5zQ8yOc9fzVeMJJOAqKUzYZw1Y3crMT/lMJ4FE4lWa2SfHkD3/2M9++JbzBLYbpG3BYEJEFuOPVbdM8lULzlW5LyK421b9BFYKIQILT8BcXHITSCuLPXcCTjkGMkVImdw1pJW+NtlrNVXXJldJRDZF4mkDrwifsituyLCkKutxpSi7BQb0aDGyu6ibM6kJFbnIXn0VJZttmTUhi1Q4NmIQ4LJa0nOXGh4y7UqseK7inmTNSHPIxg8QjqVhaD4L0Zbucrr9WdAOcSzszVEqy7KiIQhioaGqEfDaZLTVSUb39I3PzNFrY27yuvcW6KfA7dixCjNTUsHOfmiZTH58M+hnetYMpCzcjCuuh1XlCVxbjPjDdk9KwuP+ouYSAGyDUnILT+DJcMHN3DGmwIXZcq3cxMZpA6iYec7Js/ZjNSLZNgMpOV7FM17PW6bkuQiK/2/dwKWo8/DLeMZ1XDOlUD0JHuY7WhIR4Xk8Nz+CgG8yXhIbmfGSmbLjeTznJmqjL+HYuInGaJ1T9tzkjufzOVs3MLkjO3cgMtlx9Rx4FRc340+Ot6II4D2yO1MiUOOXiWyTNRx2yhMoUmOTExfCTzPsyN6T101N+9EiAGI4Wg6OuG6qFfmSA7BRlqB3zEbmyRU+FIJ3pmhcHH/uQYgrv5iehqIwlLoN0CVtxkWWLAF77yJaIkMY8n01Y1YeACizsGT6VeTE6SQn60TWia9FA/Tr8Vwnd+hl8RbMumyezfQjrvW5obemWtAeyrzTO7h0yvVvr2RxKCo9Dq/X7Q+OsLeiiVqU5Ukbekzq01f270WROQ5Kd42TJ40euQtaNJrMMASu0ppgq4hhDAxXK+X2t4nrdqUdelPj3Q4tV9f6OTftTOsjr8PMkNS99/HhnGc3Z+QsrNpJu/+xqUzCjw6XPD9u6afANy9fMdrrQKPBPx4u+L27hwwx8I2z17oMz6525x+Pl3xn/4gxBv6B7atKNopBYcIX047vHN9jzo5hHTgEzR3YuoF96ng+73g2qluwpg41xgWI3KYVz+bzyhPYG2mIcAuoX8Dz+ZwPp4fsXM+l19jz3YmfwKt4xgfTo8+cfm9FEciNJ75/oRPsFOv35Y59qf8HITaOEjxSm25BZZJq7KETo8B2ya9tOc6JhblU5luRKANVinyKRMyrRd5c+O814VjQrn2h5+ZPCJmgyp9LM6+iGGLn44EE04nEtkz06Uwnux/0rg9LgSDDuMv1uuaNVK5BEf3MG0MHnFSpb5VDb2zfbfqKeWsNUxPk5LD0I2IL/aNcG4LFOJWoXoapyUy7rFJpS1G21FL9V1DAiGYUOMgJ5hh0lTA4Q05UIzBvCk8A0qgrBHcoZKPMsZ0ZfeD2oEYi8+hJe/3FDsFz1epd9NVhjRO4Oy5ko6FpCD5xPax40W+J2fFyv6l78CfNzAuXeNltedru6GPDy37L87stKTlaF7kZ11x1G67jmqtpzfP+jMf7c+bocZIYUqBPDa/ilkPs+OD4kI/2l4zJ48jmJ6Crhdu45sP+IY/7Cw6zpiJNWcNPShF4PF7yfNwRXKw8gQlfyUQfTw94PF5y7UYOoas8AU/iNq15Ml/wbPoRTEVE5I+icWNlfAv4t4D/lB9TDFn2juGh7tfLnrYgBFnuk3wqow7rCoswrw0jLoWhYNlywgMoz7eRSmhI6+7xBNxMNedAYN4scV9lD70o82S5u3EC39nPqk3JwAnSsUz02JYJt0CPpxBhcfdJnXbNs6cWk8LxJ1lDz5p9zswxy95coikQ7fei2wJdlktGIThnDdJAhSlx2q8oKb9xXd7ffn7I6lY0mLin0+e7CQTRu3qvEzw3idQpBOiiQZpJtLs+2pZI9PUFccjFk9CabFUiHYU4eXJShKAwEotpaXbC8dAthqFRln4EkEbHfq3uvld7jRMbhkaLTVaeQPCRw9Tw0m+IyXEYG5ULZ+F6tdIsgqnT+LK54WbsuOuNmDRs6GPD7bRi1/Ts544X/ZZr28I87Xcco/7BFJ7Ak/6c14PyCJ4Oi+6/kcj1vOHj4YKXw5aVn9VS3A+6dZDEVdzwYtrxatyydwof7vwFG6eW41dxozyB6UfgCZjD8M8DiIhHCcj/HWo7/mOJIcuNnPAE7EFZmlHZUfH0U9JOlQoH0fCNcpdM1L10Wb7fkxLP9lq7G6tppr5XidMqct15Zc+z7AA/UlWMSGH1GQY/LZ5+yIJo1DvhzCIVtuNa2DLz1hp18aQBZ/ClJFGab9HcFzKQCXuSwVupOSHkVAQAc1w2NeTgVGzkrMqVhmCTiQ6cSP3dUFEYIW4jKWllLecnk1qGpwxplauU2M0wJ0VY/FGIa1ctx31v8eNJZbru6O7zBCKIy7pFOHotMsHs0s3bQGnHDoojsLX3q+IPGPtAKnLgEnhiUuNxaNT4dPC6XTHFJShPQDUPTp8z+trMLDwB7xXF+TheaMz67HH2+iuXuHEdL9y2Ro8f+o4QosK5LnHVr3nZ6/Ehqt+AdxmRzGO54NWw5XF7QeMit5ZLoFLhyM204hgbHrYaeHo1bXjeL/v9Y2xqbwLgxXRWCUifNX7Y7cCfAn435/x7P84YsuRguCzNsmXiOzO4xCkPvhQJZ3cFN+rX6u5D9fjTx6Xajadi3mE4se+lCmYKNbeYe2gjzf4Ys9lwOZ1w2ZmgZlgmstp0GUZuk88NYoKgXHsHNX5LIOy1KpSsA7BJ2qqFeGW/Vb8AWxGsNYS18gRsj1589XObNYMvF2hQLbALzqfGHyovLqMSqxKqBchqcY3kaimmP4wqJfaFH1CKwSxkSdBAmgVnRUpMlViiyVPxJJxQT/9JapGpRSzrKgLLOCy25UUurVH0Skn2RQrslq2UmBHpNFtwSbmGwptIqGfA/oQnEAXhPk9gPgb1SyhFwuTmKQnj0GnW4qjOSNllzUJoEn2jVGdxmTh75QpkFOLziVunQqhbr9mI06TsR+cTTbPAOKX5eZwa+inQeOUJBJfYTy3X3Yo5efZzy93Y0rjEOkw8zTv2seWiOTInz+3ccT1obsFnjR+2CPw54D+3r3+kGLLTkQP0j2winOyvXXHbcXZXLcejdcXNAKTccVOXUM+94glA5aNXPwHRD12JKItpSG4StLpPJmmzy01Gl3XqNUCrxhmzOeLIpEvhLCh+70DaSBw87m7RQGRTzuEz0kWmsDDhCmtPOQRJSTXWdc/3eAJoI24TSb0Rfuz12SYJIakrj9M7cA5Z7b2K8KdNltGxEFzqFskBIZNIegLZOvkiC4HTZ2gh2SSvDkkn16m/Y/0d1p5NWb056rahWIqVFV9GzycJeMnEaYFHZRJy+fxLi2HwFHIQ2bwkxMRcWar1Wd2+2XZI+ymiqsZi2VYWRaMalY5Do2Yi5vQkEUqmgfeJsRfyIVTHIj/blnFycDaqY9HkVDWZ9G80t5nJ6wlMR+OlG1tR50Bi7BJ921a1Y5pF9QxZcE0knx/px0ZXDJzrlirrc3xI7Da9Eot8pA2ROXrlvST34ykClkb8Z4Bf+0FP/ZTHvo+McC+LkA3f/Mt/B+k6ZLMG5xQeNM1/ev4SMb8AVrr3qjAiKE8ghIUnILLYlb+61vdpgvIEnKvwIShPABGFF4vM2NAJxHgCwS3cAREVOQE5OHw/K6SIbkH060QOsdqYKUSYcWMy2DAuq4DyxxmVB5CDSYaDBp9KzkY5zla0FghwXjkriNqUk+yrj4B6Bvi6mnKzgDRVJTg8bKoTsVKdPZJ95RH0j6SSsQDC3ZL2kxpIZp9eCFp+7+v2LHuQVSR3kVlQ1pzdVXPIzKvE7mu31Svg0LeqJjSewMXuyPtfe26W4sJVv2aYA/0USEn4h957yaNv7Qmix2/njptxxRADU/T88QdPuWwObLxywF9PG66mtXH6Hd/cvuS95o4z3zOkhuu45hBbjrFlGwYu/JH3mlsu/Z7buOY2rSpPYOPGeuzSHaoK8DatatDo++GW98ONWornhmdxx21UHkHJJPhGuAKgz54n8ZzeuABfC1dcuiNftXO/TY7naVOlxIUncOkckcxtylynhpusoqRTngDAdRq5So7b3PBLnzFhf5iVwL8I/O8556f2/Y8UQ3aaRXjh38uyWSsZqG3IXem0mRy4a9VPoG2W3IFTP4G7Tif5qkiNl+NuWJu0eOEJpMbbnt54AjmTuoZsyET2zpag5icAqmL0ohJlV8RJVsVLnLh3lRtQJ3cqW5hczUTKHTIaYUiS5gaUzMQihpo2hfmYaYB546qOIXthPBfjAMiy7XBSqdLjuXr6+T6TDesvqwJNNM74oxBSaRhm8CbwqXoK3av7QtEuPAFbuTA4fO/wva7AChVanLrszBYYWhCAssUp3gCCyopn8xzAwTh7Xhy2bFudCMOsSECcNcr81XHDMAcuOqXO3k4rXu61iRd85OWwYUie99s7Io4n/TnPj2fE5PAu8aA9Kk/Ajer7bwKdPjb8zEYnp5p/6L76Lq74sH/AmALvtXc0bsaTuHTKAzikjmfjOVP2pEblwCs31uO3cc3j6ZKYXfU42OfASiJT9tzGNc/n83suwxuZWUliyJ6ruKk8APUamGlkwgN9duxzw5P5gnPX3+MJeIQ+wyEHnscfj9HoL7NsBUDjxn6FH0MMGcEj5zty1+gkbk9JOxCGC3LwerzxpHBCFnIgk0qJUxcsDYhK6GnQpojetcKJa49UvL4w92Knq4R7PIBOeQCgE1NdfaUug+etBpJo/0EWGNIah1nQCWQOyGqmashEB6Wj7ltlA54KpMZzOQkFsbzFsqbKSviRjWX/tcv7Ku9B8wvnjeL8fmRBDZxKidUeTQuKNjwN7Qgwn+nyMQf1SZAb0ZR1Z8tri1DLQfshzY1N6iQQM2nwuvUwI9BQ/AacnufQtzjzAsyTQ/bBfB0Sx75hjo5+CsyzV1+/a7M6ahO3q45hDtxNrVJp+46bm7XmErSRZ83Ma7+hX2uI57PDjqfXO2IUum5mHSZu58Vp6IP9A14eN+yHVs09/ZphFarb0NPhnO/ePeQwNUznnil7hkZvVLdpxfeGB3xn/4i7qeMfPn92jyfQ54an0wW/d3zE7dyRzqTyBM5dzz63PJ/Pa/x4MRppJLKSiUNSItCH1VCvAAAgAElEQVSLeccr2VaegJMTnkA85+l0ya0b7vEEPIm9FYAn048oJRaRDfDPAf/KycP/NvBficivYjFk9vj/iMKD38ZiyH7Q++fgiRdb9QRYnYSPWMOH96yKOSGu9BdcmHc60TZ1KV5iu3KJCBdb5udsbD65dzfOvqnCovJ+pzwBDfq0brvZoBd48ZS442a7w7XLLC589ilT79aFIKQFxuDQGdx6mcTlfQs3wJuL0OmmqvIAkhaO2EkNISkGofPamIizFpDCGpQMcZ0MVlMZcFxrQnGFKK23or9rGC8z4WDfF+FTkqrAm3ZZSUvFmdmacCTridjeugSCpiik6NVReDSeQAKJTsNIjN2XonbotYknMDuGbdCcPfMTGMdAOgYtjJNjv1Fjzruhq+Elw7HRojd7rtcrDlPLzajNtxeHLTf7FSkJr4cNwam677ZdMaTAi37Li7stMQuvug19DGoLnn0NJnl22DElpyEl2d/3E+gf8vh4zhQ9z9sdU1J68a3vuY0rHo8XPB4uFAloFM/fugFn8Wcv5h2PxwvlEKTA1g14STWhSOXCZ2xcS8Rx6fdMWTkLt2nFVdzwKm4/c/59riKQcz4Ajz7x2Et+TDFkuXH0X99wzy/gpGHDeaiTsjayTlh547nt0U94AOXYvHYnZiEsaT3leTsqqpC8QoQ14EMKoWcxDvFDvmcKkmpu34I4lElebL5SET0VDF6fXpEJoNqNVxxeYDIy0JxU0luMNivhZ1XoxvYatyAT1ch0FuZNSVXOC7LhtNHnD646CcVVgRipEKIfNIwzbrUY1lTikJGDwx8dcZWI66QrCksiQjLSa/Ms2XF/tB5GFmIS5REUo9Rg+oNJi0T1CrAshKqMHB3TEJjnrFJgSziSaYkwv90ojBdnX63LSyMyA69XG8tHPCOWXkTUBtvL/YbGR65kzYc8MDNP1TWQhVfthhu34tlhx4ftA45zw35s6adAzsLTsON1v+FZe8auGdjPLS/7bfVH/GD/gBdhy828pnMTx9Ty5LhjbxLhD44POaSWu7iicxPX84bH/QXXkyoBb1stXPukK6PruKkJSJ2bObQtnsTOH+/xBJ699bkDXth/Ldx3zpGCApQmmNRutJv0064svNZ49XY1fsC6srnebYvUuER6ldfO5thTltqlUVYhwA2KS3cm851saZ3LdsDQgUq0kUr8mXa2ZMauxzgMJU133hQIUa9H7b5k4T+YdFcdgBRLl0kqVyD7TMLUkK1ZkneyRJzbexbn4nyaPSAZidr7KOhE6mz7YlJjVcDp8+NZqlyKWoisILjRjtu5uhFdJZg/Ic6R2oUw5EeYZ6l9grRKem7JuBYO0tEhR7fAh22uyk0clUfALFawqNsdAaZjU4tMNWIxJGaevG5DRn29zAY5SKZftfRgXgKqeyBj0eNw0+gkFMk8nXcap5ZRsRTKEwB45TekjCr5xlDtxL1LvGbN8+OZiqOmRrchXg1XAV70Wy67c2UXzh2vjlqY1mHibu64mVY8aXXFcDuveN6fESQRXGQfVQx1EY7E7Hg9b3gxnNXg1E8bb0URyB7GC6kMuuJ666aTIrChuvKUSeBHKtYfO6rluB+NuTYvd+rU5roUV6zfXrvRSZhaaliHFgIjvexM8NIqwUZmfX1x0alkoeIXIOCPzqzQbZJ7Ftmuy6S7ksu3vAZB/QIS9Y+9bFPKPiC3CcRpsG8sqwjT9YsdpyAVJiUWqWzCwlUowtFcCEP2I8o1pFgqlw1hsf3OUqW1xVK8ZBfkJpPmbMt2uVfMJS+kH+VjK0RbjEByiSbPOsGYFaLV389SCPygK4U8L74L2Sps9ieMQysy5iViv5P6q1S68uj0+1RWN+BsBRGPXrkMJVex2MpnYRyCrhzG5T2SRdMPrboma8PTkY0ROTYJHxI3op4E3iemyRNnT0ahx7adiUlwAle9shmLcrLxkbHTDISbYcVVu2ZOjn5uGKLHS2bbjNxNHbdTx64ZmJLnburYz+3vmzvwdkiJ5WH+xeafVxhwvVbyh/OIWY7Hl6+Rtqm246SsceO2h843t9AEsxYvhpUmQrq+hbZRCNE5e2+1DAeQ/VFRh0YNSsn5Hswox8EizR3EpDOoCbpF6BrcYSS1alXObNU2OHU9nlNFG1RKPGtPYh004fgkCUlS1ijzxt8TMpUCLnPSlc3KVzlxWdkA5piUa+RaPGVQsmyV1FIN4looximn9mmqRdAVUrUPb7L1RJYVSPEvTI0WHxndIjcWiBczElRKLA4z2JCao7B9T6XEimc75uSq5fhPPbpmFSZaw7bH6JmS53ZQr/1/5L0nrL2ahYKy5IYYuJs75uT4+cuP6NxMY933KfsqJ56T54+dPa6Nt6LqK1DhhT9y4Q81K7BPDV4yfWo4pI7OTTzyd6zcSGMQoJfEPnUcUmcinr2afQJ9bkjZsc8tfWq59Hu2MvK+PzJmlfgW6/F96njk91y6sVqKD1lhxE9Gj6/EM+VEnxN9VpTAS2Yjma/6taZSETmkiT4nJuCb33jy9kqJEak8AOnaqv8vk7wUAFmtoNM1aW5C5RFwPOpruvY+T0AEGcwvLHhy22gBaIIt/wSZNQuAxqBFqJJiRNl32TmozUUrIAVKzI0+ljISNIug5iGYaapmEhhnoFXYM3auQoyK1yfyprmXOzCvHW7OWiAGp0t2UzLmAiFOyh/wU66TOBs0OW+X7Y0fSsaB1sFhtWyNTi3TsuivI64LP8GW9HkpOKkR4jqaoYYgR3dP0pw9uFVUGXEW0sH4/5PeNXPI1UsgJmF/VE73PCpPYIies1ZPKmXhduzop8AwKd33ZlzTdAlc1Ak2a5Ovnxum5LiaNzxs9vjiyDuvuJrW9LFhTo7X05b3mjsaF5lS4NW85S52HGMLtuV5GO5oJdLTcBU3XM8bhhw48z2tzHhJbN1Inxtezmdcxy19DkTv9JiMNBLxJF6lM67ihtH4/jh4iBYJJ5mrecMha65BK5FGEps8UxwsrlLHPnW0EvEu0+eRlSjFO2Y4ZM9V6tgqe45DHtlIi0O5BIcMV2Uv9ynjrSgC4hyy22kBaBv1DDAOAA7ksNW7vB3LwVE9BQB/3OgkX7UKI5bkYif4mJTiFrzyBMzUozQWA+jk9l55Ar4c18kbgoOkUuOqciwyZBFc543Qk2vycXltYTdKzrghkXbBNA56N5zWygNQqbA2Mcv7AgwXOsn8lGkkM6ykrt6TF4YH1qPoM83BINVsd++AHYew11yCckwhQu1lhKPQ3GqR0CQgXY4WazQvEPaingOnqwaHsiwHh79zhINUp6WE0pV9Ey3vTyrDsiz5Z+MJzNGpGehdY3HmaqkVk2MV1Bm4nwLXtxu1JPOZF8ct1+OKR6t9pc4+udkRo6MJkQ/2D7hq1nx9dc2QGp4NZ3x4e0lMjtZHLtqeIQXoNHTk4+GCx8cLhjkw7Ry9wX8aLhJ4PW/53cP7HGPDN9av69/tRhS3v01rvts/0qRiS7ZeycSlOxBx3MQVvze8pz9zBaNXUtFWZvrsuU1rPp4ecBtXOFGPgZXc0JDps+cqbXgyXao60Ld4roGJVoRDFm5Ty4fTIy79gV0+spIDk/Q04jjkzG1q+N58iYJ43z/eiiJA8HC508yBVpfKRS6MCGG+1GV0G/QubbLixZT0gpItUKTIVYZcHIpSJreOdGpbLtidG5vEehcuMmSAeeMXMZLD4s1PEAZRHoGb9E5bluFgyIKo64+b3ffBi9NG//eDMK8W1+NyfDy33kcPc4ETbY8rhSeQNJZ8Xi96hvIe88Z6AE6Yt2YOYsems4SblekKKkUu4qkcFEKUrHcaHBrRdSxEJawi6M+La9ur2/ZCIsTeEzGiUJKKOmTbDgx9yyD5vlQ4aV+h8AQO0la3oXirVNsUErebjjZEjlODd4m7vuNw15Fmx9gmrlbqMnQzrVj5iSf7c17fbkjREZrI4/ac67DShF9JfLh/wIvDluPYsA4Tr8cN+67j1bxVP4Lhgg/uHqiXnySOseWuXZlrkPIEPtg/4HrUxOC+bTRiPDTsU8d3hq/wwfEhr8e1OiF5NQjZuSN9bkwKfMHT4bwqBD+LJ3CRjjREnNwaRBh4Ei94Gc/Yp+4TPIHIPms4yVtvKpKDJ11uFe/eNMud1GETfqsOPyI2KbkXEJKatS63Tww/6v++rYy+4gOwZBKYB8EJJKieALI0lIQqwz2VN8NyLAVrRGYWn34UtUhemLZ6N4dlAmdHZQgWu+7KUy8FaE29O8umNEWh8O3nrU6+OS+P1fw+EzD5XowQtDRa5UQsJJMWi2zFqLgI4YBRm3bJQ9oljU6byueC8u9N4zBvU8X6c1ktTFL1FanJOJZClaJoLkGhFBuykqNUnkCKxo0vkuMMTJ5+0CIRo1M/gckrTwBtxt1uO4YQeJ3WiGRNEu6bevx6UJ7ArTkQ3fQrbvba9b8ysc3d1PGwWzMmz/Ww5sXdlgy8GjZqMz53HLqWm3nF63HD04PmEjwbzhiSEo2umzWH2PFR/4DHx3Nicjwfd/RByUA7f+Q2rvlgeMjTQb0Lno3a9VdTkVlXCeMDnoznyhMI93kCN2nFy/msmo5EnDoM5UPlCbyKZzyf33KIMAfh8FPr+0YhsuxBOffLMajwXN2j2h9dCssfmZgtWN5JtdRKzQlhpry2tbubcRRCbx17uwPOFi6y2Ibbe1uhUmcefa/iGVC64ppYXM51we+LFHk6+VyqcnJazm3eWkNuDS6qpsAXnD4taEg0aC97KvOv/B6y0zt1Wd6XVOECt5bCFjdJw1bHEhRiPIFR4dG0NhWfRZbhM3Lw+F4NT5J5H5Q4MgB3VBFO8om00t+rH3RixyjIIYDJmO9JiSUvWQEVYbD3td7BPPkqBVa4cuEJ7DcrDoWQNLvF0NM+1qvVRglLFv6Z4iLUedluaszZ07uz6n8YLcb9RbOl9ZFX/Ybv+UuGOXAYG7P8hufhjNfDhqdhxyY8pJ/VHXiy4x/sHxAkcbVe04g6HD3td0zRkxD+P3mPl9OW193W/ATWPO4vGJNn5Sf2UfkEt1GL1nXc8GzcGe9AeQIAN16Pv7Lcget5/Znz760oAskL/QNfl5qF0KN8dWXpKZ6vEzL093kCsTNhTYUAqcKZuBKDCFkUiJPy6ZGTu7GFc8wbuecZMG2pphtFlXbqwDPb8eLEI1knimTjCcD3aQncYPCiSY1Bf1aJ3z6VChcyUXSKs6dCqCmwnxXGZNHluTF15SlPwP7PbbZgXl2OlDt+pSIHcyI2iLAoGN0sRJ8gQE7YhFmITUWNSaN3eJehSIndZGq4VlcS1VylSIlnoxIXKfGoPIGa6JukJv5WLwYHcfAwuCo1xmVdeWRAFs1CcT8qhV2SrhxiCUidTSpsNOhhFRgGxaJTcsTeeAJeZcaHoeUASnmePdMY9H7hEiJw45XE04aWmHZMs2eKXo8DjfEIjrOqAYcY2I8tTrRZ6kWDVfdzh5PE3dRVFuM6TBzmliEGrtu1rmLmNS+HDU4yrYsnfgLqmnQd18YT+GwU8K0oAtnD8T0xLn1ppule2M3KH5jXpljLUjvRp1i/JukuxaF4BhSSUOyUWVdgrHDU9yiEndjpHako7orBZiH8xFUGlyApi66GaGxyJeIU4k8x0yhmnWoskqsvn9t73CDfzxPYRP1D7b358UPRuyOQu0QMojRb40+4bHJjUagui6iF16BMQB+Bsiqw4yUC6JRhCbZFKAKBEy+BjJ5DbhNJ7NhkLxbglCeQ7ILMNBTjfUSDEosxCdUBST+H3OZapATUErzwBBAjGxUWBBpBXjz/HSqzbrLmAGT9+e7gT6TStr8rkKm5HlX6s/1g5zQsNe4b4zrYuYq+f9qODL3mDtQiMzlimyBkDi4zjaZ9KYUGNHegSdoItVXJPPkqpPI+0bQzd+Zs9FjOmaPTFUJSifP5amBOjmc+0oUHxhMIlUewaSYcmaf9jvOmZ0wamTbEUJGSTxtvRREIz/f89K//LY0m7zQ+XBrjAThHfGFS4lbRA0C/LnFkr68XnkC4DxHm6xuNLT/hCZzCi7I/KrJwyhMwdAIRGKcFrjQ4MXf6M3IbkGEie2seTtEENyY9NlSh8gD6WQVKrTUwRaoxqMwZNyhPIK6SGps2Ui3F3ZRwY2LeeNtmaP/DRT1nhRIVVkxBJ12582rDTsgSKrd/vAzG5S+fgkebnLptGi4FF3Wi4iAcPZJK8w4VUllxzE7px2LPzx5YRdJmVkpwdEbvNRehNVVK7F3mMDSk5GoT8Gfef83ZTw/17nXV611vP7TELPwTX/uwxo5PWVWEY/Lcjivm7PgnH32XjR/p3ETKjlezxoHto95Ff+HiAzZuZOsG+qSR4H0OFTq88Ae2bmBjgaExazT5IXWc+Z5H/o6dOyqEaFbhe4PxHvk7Lv2eR6Yg7HNgn1v2qaPPjb225303kMDQAZUR73PL1/wNl27koXNMZPqcuUqBPqun4EoiX/WJnWuZcqTPkduUOWSv0KLxBBrxxJw45pHbNNNn+COfNf9+zPP5DzZE1EugbdUz4IQnkJ3o4yEohNi1C9ZfGnRN0NesOnLwShgqfgLDSiHCJtTJn1daYLIIfo71PbJlEuSVTXIBDxWqxJyQi7oREV3le4E56QTuvNqaG3KRzehC5kTetnpcIDXOcgN0y+OHRGraqlVIjTBtnfIAIoQD9xyPs4NxJ8aOtKW9TRpJ4GJmPHf4UeFHNxfNg/rVR/Mn9IO+d1FKZqdqwbiClFQUVHgCbl4WCbnQlEeVEpdlfrb+nXRRTS+iagRI4AZDZUKuXgIxyX27rwxT0jtgF2bm5JiSYz+0SibKwuPjOQ+7A9swMKbAmDwv+229Kz4fd9V+a8qe/dzxbDi7xxPwTbYGWuDFfMbL8Yx9bGvhaWRmJ8nMOjc8ni45xJavtEIrM43MbN3AaCSfp9OFEotIlSewkhkniX3seDJfMmVPa3zuSzfiyTgTAV3FLfvUGr8gsWNh+B1SU6PHoxvo88CmSNxRotDLtOZchoUnQItDjFAEz01r8GnjrSgC4h1udwZNU80/soiC1IA73+nk7YwrYLbj5W7tx53i+G1D6hoNB7GJGECLgIh6BjQLoQeHGfrbBGgcqQsVftReQEBiskahMG8Dp2ankhtkTvgpKU9g7WoBKJPcTRk/Jo03P0Emhp2Sgbwl9k5bf+/3Mlzc1ypMm8VtJzu7W0/QHApKsdBkVfmn+/r2VrdWRSGYvWkegNRan2PQYlJsxU51C26EZo/e5a3RqUak6O8uC2F/nycQk6b5TKOu3PzRdAJGve3HhhAiw6DH0yEgo5qO3PYd4xxow0xMjik69ncr0uRwjToFH+eGB92BOXv2U8uzmzOmMdC0M987qODmK90dCeFZf8ZHt5cKAbYT320fcdd1TJ233IFzHh8vuOrXBHMLjggJx5gDT6cLhfiGDe582Vu3EtmnjlfzGR8MD7me1vitFrdGZt73t/RZw0e+Nz7gblaX4cIT2MnEIYfqCPx63rJyExGh4ZatS+yTU57AfMFKJnb+SEsCRloR9ilznVY8mS84uP77eAL7nLj9MfoJ/OEN78lnG/2/C2YMIstSejJPgOBIq6YSd+pEfnimJTE4jScvZCEBZKUrDUsHSq3Jje1OX+PPY+kN+PsQ4kqX+m7SO+m88Uszj4JIOGPkQeyWjXZBFsIxE1dSJcqgk1GNPRR/j42viUNVAbnRIpJ6JSItCkqd0KqX0KV+bKUiIqVQxDbjvDBPei7hJHsgrpI25awZGjuqwjAH7Q9I0i3HvNV8gXCk9i9qzyAvUKQfSs9F7+rJeAIIVZZcpcdjWIQ8s5qOiCkGyx2/+AmkJKReufwpivLpg6Ofz2lc4m5oGfpW486zcJiUbNTHhk0YedlvuT12TJNnjo6bjW4b5uwJEnl6POflccNt33G9XbGfNXXoYJ34J8M5jw/nXA8rHnQHhhQYUlPlwh+ND9QxuFemYjxptuxTx0fjQ54M57weNzxoDjWpaPJ37FPHk+mCF9OOj4cLHgQNEt3KyJBn+hy4ihuu4gZPps9NXS00kvR42nAb1/SpIQZhl0aizHiJ9Fm4Situ41uODuTGM3/lHDX28BSIsEz0uNb9eqHbFpy92HZN21C79dUG3II45o2v/IDqvBuWiTLtFJUo7+mmfG8yVu8Be/69/oo1FJOXir/rD9Jj81phx+IAVCZvOT7t9FznjfEEPEsqsmjugBv1HKYznZynISLzTp2BJqwYpPvmIXGd4AjzmcqBp7gIp1KbcDhkULPUwiMoDVUcGsZpQqe4ygtykkS75b1mMqYuMV0k4qgN04JoMDrc4FRKbIVCTClYxTUGvYmp+dwojH2jzbnBq5FJFFUMAoyeu/0KH5LCdqABJoUn0HtebRTrT8kRszBNQf0EgHkIvFhv8W7Nk71i8ndDy6FXb78n+3O6MPOy37Jr+8pIfHGnxKGnxx2vhw0f+wuedBccY8P1tOLJ/pwMfHh8wPPxjGftjseNbiGeDud873ABwHcO7/G62TCkho/dwCF1fG+45Olwzpg83xseMCT1Kii5A1pELlj7kYtwxFlykSdzlTY8m8/5YHikTkm5xZO5dAtP4GU84+PpwWfOv7eiCKQgHL6+0knsF/jNzdo9T8FT47kclXhT5LKxFRO6oHvPWF4r9VgR1WimH9VWu0KPfsHp/ZhrQ2zaLjyB8t6+L9CfMFtASMHcK1cgW3hIuXOKLBDhuBwHTpb4Jle2QhBXuUKXRaxTzFfL7yh2mgmglmK5xoG52SqpgxiyRaQnixaXClnqCaAKxpU2/NwolGhyiahr0yba70n7DLgFzsyN1ERk8gJx+oPBb41UZKCuNkaHHLyuNlaJ3FpfI4o69e6bhSAUDPUZ9JpidMxDUEHSbA3ecYECD/uVQpnRnJPL7wK95qu7tZKQMqSojsCl6r9qVLYrknlyu2M0joAI5Kw8gOAjXjIf313UwE97a557/VBfNVs+cA/oY1MzB1IWgks8H854NW2NfdjworeUrKw8gcf+gqfdOY3EmkuQsrDyE6/GrQWb6M+5iyuejTuOUZWCh9SSsrCzu8VV3PBsOucQ33LtQHZC/8BZ51pquKbKeTNzJ4r3W4SVGmdo00psr5y6kyJg8KGblvCQZDLlAkmFozbDpl3pcttkS+AnWbD+rf7MuFqiuMNRahhGlSI3VIKOt+OTRX3V5F+beOWOeGo2Wt5Di5Ttr42glANkn5XKO7m67NbQEVv5tGpZnr2o7fcERV5bVh65MZ7AyaqmUJErxJexLr9UnkD1JjDL8hRFITyzI5MZWGcNGYlWEWd7j4x+bTyGVMxLTaZb3IaUJ0DJPDHorTRe9Fpz0M8FUe6BFDKRQzu4pySw4UQKjB4rngLz7CtdWVOYykoxM648vbm0pNPVSsiIzxzbSIyaIzBNnrFXvN/5jLjEje9IyXFsGjUjMYjP+6RcgKJ8nLVJOUZPPwW8y7p6Qej8zH7WJuXd1HE3dniX2DbmuZgCN+2KlB03c8fNqPTnlZ+5mzVYtfgJ3MwrXk1b3D1t+P3xdhSBoO62sUOXoQY1hd6Wjp3xBAx3L0YW3thr00Y5BLGj3m0LD6BM/tRlot1tJKnvnphdeZnkKpnVP0zf6x2x8gjWicIDmAb1vFcyEkbSKc3FhAyOsHeqMceKkyy25fHgzdEn36cnbyJRMunoq99ftj12FpTMEyLRuYXIk7NNxqyW5eK0qGSd4NlWJ9lRjyfR31P2wEQ1PSFo3yNmK3inASWp8ASSsnuibjF8Kns33SJUrH9yyo2Ixtcwv4YiZiv7f8yfoHgyJKgTU2qDXMhdJrV2fVEq2UivwyzdG32/bEVKhsJlyEuRiPacQfsQGpdG3f6UnIa4D3oNojwMBj3/eeOYp0B/2y0py7MQPeSQ2LvMPAVuEpp8ZOdCm3BNZJp9XYXMc1mFgAuaO3ATYkVO5uSYZ01GCiFxuTkyRo0e/0Ae6FYn+hpqsm40l+BFf8bKT4xJi9CYPO3b7icgIrfA77zp8/hDHO8BL970SfwhjS/ytcEX6/r+wZzz+5988K1YCQC/82lmB1+UISJ/+4t6fV/ka4Mv/vXBCQvz3Xg33o0v53hXBN6Nd+NLPt6WIvAfvukT+EMeX+Tr+yJfG3zxr+/taAy+G+/Gu/HmxtuyEng33o134w2Nd0Xg3Xg3vuTjjRcBEfkXROR3ROTbIvKX3vT5/LBDRL4hIn9TRH5bRP4vEfmL9vhDEfmfReTv2f8P7HERkX/PrvfvisiffLNX8IOHiHgR+T9E5Dfs+2+KyG/Ztf2XFluPiHT2/bft+M++yfP+PENELkXkr4nI/2Of4S99kT67zzPeaBEQEQ/8+2js+Z8AfllE/sSbPKc/wJiBfz3n/MeBXwT+VbuGvwT8Zs7554DftO9Br/Xn7N+/DPzVv/+n/EOPvwj89sn3fxn4K3Ztr4Fftcd/FXidc/4jwF+x573t498F/qec8x8D/lH0Or9In90PHjnnN/YP+CXgb5x8/2vAr73Jc/oxXNP/gCY4/w7wdXvs6yghCuA/AH755Pn1eW/jP+Bn0InwzwK/gRKMXwDhk58h8DeAX7Kvgz1P3vQ1/D7Xdg5855Pn+EX57D7vvze9Hfhp4MOT7z+yx34ihy1/fwH4LeCrOefHAPb/V+xpP2nX/OvAvwEUofQj4CrnXIzJTs+/Xpsdv+YTadZv2fgW8Bz4T2y78x+JyJYvzmf3ucabLgLyKY/9RGKWInIG/DfAv5Zzvvn9nvopj72V1ywi/xLwLOf8v50+/ClPzZ/j2Ns4AvAngb+ac/4FYM+y9P+08ZN2fZ9rvOki8BHwjZPvfwb4+A2dyx94iEiDFoD/LOf839rDT0Xk63b868Aze/wn6Zr/KeDPiMh3gf8C3RL8OnApIkV3cnr+9drs+AXw6u/nCQvxQFcAAAE+SURBVP+Q4yPgo5zzb9n3fw0tCl+Ez+5zjzddBP5X4Oes29wCfw7462/4nH6oISIC/MfAb+ec/52TQ38d+BX7+lfQXkF5/C9Yp/kXgeuy9HzbRs7513LOP5Nz/ln0s/lfcs5/HvibwJ+1p33y2so1/1l7/lt7p8w5PwE+FJE/ag/9KeD/5gvw2f1Q4003JYA/Dfy/wO8C/+abPp8/wPn/0+iS8O8Cf8f+/Wl0L/ybwN+z/x/a8wVFRH4X+D+Bf/xNX8PnvM5/BvgN+/pbwN8Cvg3810Bnj6/s+2/b8W+96fP+HNf188Dfts/vvwcefNE+ux/07x1t+N14N77k401vB96Nd+PdeMPjXRF4N96NL/l4VwTejXfjSz7eFYF34934ko93ReDdeDe+5ONdEXg33o0v+XhXBN6Nd+NLPv5/MwaOpZQlh8IAAAAASUVORK5CYII=\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# last adjacency matrix\n", "\n", "plt.imshow(model.A.to('cpu'));" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(cost_list, label='Minibatch cost')\n", "plt.plot(np.convolve(cost_list, \n", " np.ones(200,)/200, mode='valid'), \n", " label='Running average')\n", "\n", "plt.ylabel('Cross Entropy')\n", "plt.xlabel('Iteration')\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(np.arange(1, NUM_EPOCHS+1), train_acc_list, label='Training')\n", "plt.plot(np.arange(1, NUM_EPOCHS+1), valid_acc_list, label='Validation')\n", "\n", "plt.xlabel('Epoch')\n", "plt.ylabel('Accuracy')\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Validation ACC: 93.00%\n", "Test ACC: 90.36%\n" ] } ], "source": [ "with torch.set_grad_enabled(False):\n", " test_acc = compute_acc(model=model,\n", " data_loader=test_loader,\n", " device=DEVICE)\n", " \n", " valid_acc = compute_acc(model=model,\n", " data_loader=valid_loader,\n", " device=DEVICE)\n", " \n", "\n", "print(f'Validation ACC: {valid_acc:.2f}%')\n", "print(f'Test ACC: {test_acc:.2f}%')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "torchvision 0.4.0a0+6b959ee\n", "matplotlib 3.1.0\n", "torch 1.2.0\n", "numpy 1.16.4\n", "\n" ] } ], "source": [ "%watermark -iv" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" }, "toc": { "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }
Jupyter Notebook
5
XiaoshengLin/deeplearning-models
pytorch_ipynb/gnn/gnn-basic-edge-1.ipynb
[ "MIT" ]
SSEVAL1(IN) WRITE !,?10,$STACK($STACK,"PLACE") QUIT IN SSEVAL2(IN) WRITE !,?10,$STACK($STACK,"PLACE") QUIT IN SSEVAL3 NEW Z WRITE "1 AND 1" SET Z=$$SSEVAL1(1) SET:Z Z=Z&$$SSEVAL2(1) WRITE !,$SELECT(Z:"TRUE",1:"FALSE") WRITE !!,"0 AND 1" SET Z=$$SSEVAL1(0) SET:Z Z=Z&$$SSEVAL2(1) WRITE !,$SELECT(Z:"TRUE",1:"FALSE") WRITE !!,"1 OR 1" SET Z=$$SSEVAL1(1) SET:'Z Z=Z!$$SSEVAL2(1) WRITE !,$SELECT(Z:"TRUE",1:"FALSE") WRITE !!,"0 OR 1" SET Z=$$SSEVAL1(0) SET:'Z Z=Z!$$SSEVAL2(1) WRITE !,$SELECT(Z:"TRUE",1:"FALSE") KILL Z QUIT
M
3
LaudateCorpus1/RosettaCodeData
Task/Short-circuit-evaluation/MUMPS/short-circuit-evaluation.mumps
[ "Info-ZIP" ]
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #include <cmath> #include "tensorflow/compiler/xla/tests/exhaustive_op_test_utils.h" #ifdef __FAST_MATH__ #error("Can't be compiled with fast math on"); #endif namespace xla { namespace exhaustive_op_test { namespace { // Exhaustive test for binary operations for 16 bit floating point types, // including float16 and bfloat. // // Test parameter is a pair of (begin, end) for range under test. template <PrimitiveType T> class Exhaustive16BitBinaryTest : public ExhaustiveBinaryTest<T>, public ::testing::WithParamInterface<std::pair<int64_t, int64_t>> { public: int64_t GetInputSize() override { int64_t begin, end; std::tie(begin, end) = GetParam(); return end - begin; } // Given a range of uint64 representation, uses bits 0..15 and bits 16..31 for // the values of src0 and src1 for a 16 bit binary operation being tested, // and generates the cartesian product of the two sets as the two inputs for // the test. void FillInput(std::array<Literal, 2>* input_literals) override { int64_t input_size = GetInputSize(); CHECK_EQ(input_size, (*input_literals)[0].element_count()); CHECK_EQ(input_size, (*input_literals)[1].element_count()); int64_t begin, end; std::tie(begin, end) = GetParam(); VLOG(2) << "Checking range [" << begin << ", " << end << "]"; absl::Span<NativeT> input_arr_0 = (*input_literals)[0].data<NativeT>(); absl::Span<NativeT> input_arr_1 = (*input_literals)[1].data<NativeT>(); for (int64_t i = 0; i < input_size; i++) { uint32 input_val = i + begin; // Convert the lower 16 bits to the NativeT and replaced known incorrect // input values with 0. input_arr_0[i] = ConvertAndReplaceKnownIncorrectValueWith(input_val, 0); input_arr_1[i] = ConvertAndReplaceKnownIncorrectValueWith(input_val >> 16, 0); } } protected: using typename ExhaustiveBinaryTest<T>::NativeT; using ExhaustiveBinaryTest<T>::ConvertAndReplaceKnownIncorrectValueWith; }; #if !defined(XLA_BACKEND_DOES_NOT_SUPPORT_FLOAT16) using ExhaustiveF16BinaryTest = Exhaustive16BitBinaryTest<F16>; #define BINARY_TEST_F16(test_name, ...) \ XLA_TEST_P(ExhaustiveF16BinaryTest, test_name) \ __VA_ARGS__ #else #define BINARY_TEST_F16(test_name, ...) #endif #if defined(XLA_BACKEND_SUPPORTS_BFLOAT16) using ExhaustiveBF16BinaryTest = Exhaustive16BitBinaryTest<BF16>; #define BINARY_TEST_BF16(test_name, ...) \ XLA_TEST_P(ExhaustiveBF16BinaryTest, test_name) \ __VA_ARGS__ #else #define BINARY_TEST_BF16(test_name, ...) #endif #define BINARY_TEST_16BIT(test_name, ...) \ BINARY_TEST_F16(test_name, __VA_ARGS__) \ BINARY_TEST_BF16(test_name, __VA_ARGS__) BINARY_TEST_16BIT(Add, { auto host_add = [](float x, float y) { return x + y; }; Run(AddEmptyBroadcastDimension(Add), host_add); }) BINARY_TEST_16BIT(Sub, { auto host_sub = [](float x, float y) { return x - y; }; Run(AddEmptyBroadcastDimension(Sub), host_sub); }) // TODO(bixia): Mul fails with bfloat16 on CPU. BINARY_TEST_16BIT(DISABLED_ON_CPU(Mul), { auto host_mul = [](float x, float y) { return x * y; }; Run(AddEmptyBroadcastDimension(Mul), host_mul); }) // TODO(bixia): Div fails with bfloat16 on CPU. BINARY_TEST_16BIT(DISABLED_ON_CPU(Div), { auto host_div = [](float x, float y) { return x / y; }; Run(AddEmptyBroadcastDimension(Div), host_div); }) BINARY_TEST_16BIT(Max, { Run(AddEmptyBroadcastDimension(Max), ReferenceMax<float>); }) BINARY_TEST_16BIT(Min, { Run(AddEmptyBroadcastDimension(Min), ReferenceMin<float>); }) // TODO(bixia): Pow fails with bfloat16 on CPU. BINARY_TEST_16BIT(DISABLED_ON_GPU(DISABLED_ON_CPU(Pow)), { // See b/162664705. known_incorrect_fn_ = [](int64_t val) { Eigen::bfloat16 f; uint16_t val_16 = val; memcpy(&f, &val_16, 2); return std::isnan(f); }; Run(AddEmptyBroadcastDimension(Pow), std::pow); }) // TODO(bixia): Atan2 fails with bfloat16 on CPU. BINARY_TEST_16BIT(DISABLED_ON_CPU(Atan2), { Run(AddEmptyBroadcastDimension(Atan2), std::atan2); }) #if !defined(XLA_BACKEND_DOES_NOT_SUPPORT_FLOAT16) INSTANTIATE_TEST_SUITE_P(F16, ExhaustiveF16BinaryTest, ::testing::ValuesIn(CreateExhaustiveF32Ranges())); #endif #if defined(XLA_BACKEND_SUPPORTS_BFLOAT16) INSTANTIATE_TEST_SUITE_P(BF16, ExhaustiveBF16BinaryTest, ::testing::ValuesIn(CreateExhaustiveF32Ranges())); #endif } // namespace } // namespace exhaustive_op_test } // namespace xla
C++
4
computationalartist/tensorflow
tensorflow/compiler/xla/tests/exhaustive_binary_16_bit_test.cc
[ "Apache-2.0" ]
(set-info :smt-lib-version 2.6) (set-logic QF_UFLRA) (set-info :source |CPAchecker with k-induction on SV-COMP14 program using MathSAT5, submitted by Philipp Wendler, http://cpachecker.sosy-lab.org|) (set-info :category "industrial") (set-info :status unsat) (define-fun _1 () Bool true) (declare-fun |main::lk12@4| () Real) (declare-fun |main::lk10@4| () Real) (declare-fun |main::lk9@3| () Real) (declare-fun |main::lk6@6| () Real) (declare-fun |main::lk13@2| () Real) (declare-fun |main::lk13@4| () Real) (declare-fun |main::p12@1| () Real) (declare-fun |main::lk11@4| () Real) (declare-fun |main::lk11@3| () Real) (declare-fun |main::lk2@2| () Real) (declare-fun |main::lk14@4| () Real) (declare-fun |main::p8@1| () Real) (declare-fun |main::lk10@2| () Real) (declare-fun |main::p6@1| () Real) (declare-fun |main::lk11@5| () Real) (declare-fun |main::lk3@7| () Real) (declare-fun |main::lk13@3| () Real) (declare-fun |main::lk11@7| () Real) (declare-fun |main::lk9@6| () Real) (declare-fun |main::lk13@7| () Real) (declare-fun |main::lk15@4| () Real) (declare-fun |main::p2@1| () Real) (declare-fun |main::lk9@2| () Real) (declare-fun |main::lk15@3| () Real) (declare-fun |main::lk13@5| () Real) (declare-fun |main::lk7@6| () Real) (declare-fun |main::lk7@7| () Real) (declare-fun |main::lk2@5| () Real) (declare-fun |main::cond@2| () Real) (declare-fun |main::lk7@2| () Real) (declare-fun |main::lk1@4| () Real) (declare-fun |main::lk15@5| () Real) (declare-fun |main::lk6@7| () Real) (declare-fun |main::lk8@6| () Real) (declare-fun |main::p4@1| () Real) (declare-fun |main::lk4@5| () Real) (declare-fun |main::lk4@3| () Real) (declare-fun |main::lk5@6| () Real) (declare-fun |main::lk10@5| () Real) (declare-fun |main::lk4@6| () Real) (declare-fun |main::lk6@5| () Real) (declare-fun |main::p11@1| () Real) (declare-fun |main::p1@1| () Real) (declare-fun |main::lk11@2| () Real) (declare-fun |main::lk8@7| () Real) (declare-fun |main::lk8@5| () Real) (declare-fun |main::lk6@3| () Real) (declare-fun |main::p14@1| () Real) (declare-fun |main::lk5@2| () Real) (declare-fun |main::p9@1| () Real) (declare-fun |main::lk4@7| () Real) (declare-fun |main::lk12@7| () Real) (declare-fun |main::lk4@2| () Real) (declare-fun |main::lk1@2| () Real) (declare-fun |main::lk12@6| () Real) (declare-fun |main::lk14@7| () Real) (declare-fun |main::lk8@3| () Real) (declare-fun |main::lk9@7| () Real) (declare-fun |main::lk5@4| () Real) (declare-fun |main::p5@1| () Real) (declare-fun |main::lk2@6| () Real) (declare-fun |main::lk10@3| () Real) (declare-fun |main::lk14@2| () Real) (declare-fun |main::lk1@3| () Real) (declare-fun |main::p3@1| () Real) (declare-fun |main::lk6@2| () Real) (declare-fun |main::lk1@7| () Real) (declare-fun |main::lk12@3| () Real) (declare-fun |main::lk2@3| () Real) (declare-fun |main::p10@1| () Real) (declare-fun |main::lk4@4| () Real) (declare-fun |main::lk14@3| () Real) (declare-fun |main::lk12@5| () Real) (declare-fun |main::lk3@6| () Real) (declare-fun |main::lk1@5| () Real) (declare-fun |main::lk14@5| () Real) (declare-fun |main::p7@1| () Real) (declare-fun |main::lk8@2| () Real) (declare-fun |main::lk10@6| () Real) (declare-fun |main::lk3@5| () Real) (declare-fun |main::lk9@5| () Real) (declare-fun |main::p15@1| () Real) (declare-fun |main::lk3@2| () Real) (declare-fun |main::lk10@7| () Real) (declare-fun |main::lk6@4| () Real) (declare-fun |main::lk5@5| () Real) (declare-fun |main::lk7@4| () Real) (declare-fun |main::lk14@6| () Real) (declare-fun |main::lk15@6| () Real) (declare-fun |main::lk12@2| () Real) (declare-fun |main::cond@3| () Real) (declare-fun |main::lk7@5| () Real) (declare-fun |main::lk8@4| () Real) (declare-fun |main::lk5@3| () Real) (declare-fun |main::lk2@7| () Real) (declare-fun |main::lk11@6| () Real) (declare-fun |main::lk3@4| () Real) (declare-fun |main::lk2@4| () Real) (declare-fun |main::p13@1| () Real) (declare-fun |main::lk1@6| () Real) (declare-fun |main::lk9@4| () Real) (declare-fun |main::lk7@3| () Real) (declare-fun |main::lk5@7| () Real) (declare-fun |main::lk13@6| () Real) (declare-fun |main::lk15@2| () Real) (declare-fun |main::lk3@3| () Real) (define-fun _7 () Real 0) (define-fun _131 () Real |main::cond@3|) (define-fun _132 () Bool (= _131 _7)) (define-fun _133 () Real 1) (define-fun _136 () Bool (not _132)) (define-fun _138 () Real |main::lk1@3|) (define-fun _141 () Real |main::lk2@3|) (define-fun _144 () Real |main::lk3@3|) (define-fun _147 () Real |main::lk4@3|) (define-fun _150 () Real |main::lk5@3|) (define-fun _153 () Real |main::lk6@3|) (define-fun _156 () Real |main::lk7@3|) (define-fun _159 () Real |main::lk8@3|) (define-fun _162 () Real |main::lk9@3|) (define-fun _165 () Real |main::lk10@3|) (define-fun _168 () Real |main::lk11@3|) (define-fun _171 () Real |main::lk12@3|) (define-fun _174 () Real |main::lk13@3|) (define-fun _177 () Real |main::lk14@3|) (define-fun _180 () Real |main::lk15@3|) (define-fun _189 () Real |main::lk1@4|) (define-fun _192 () Bool (= _138 _189)) (define-fun _201 () Real |main::lk2@4|) (define-fun _204 () Bool (= _141 _201)) (define-fun _213 () Real |main::lk3@4|) (define-fun _216 () Bool (= _144 _213)) (define-fun _225 () Real |main::lk4@4|) (define-fun _228 () Bool (= _147 _225)) (define-fun _237 () Real |main::lk5@4|) (define-fun _240 () Bool (= _150 _237)) (define-fun _249 () Real |main::lk6@4|) (define-fun _252 () Bool (= _153 _249)) (define-fun _261 () Real |main::lk7@4|) (define-fun _264 () Bool (= _156 _261)) (define-fun _273 () Real |main::lk8@4|) (define-fun _276 () Bool (= _159 _273)) (define-fun _285 () Real |main::lk9@4|) (define-fun _288 () Bool (= _162 _285)) (define-fun _297 () Real |main::lk10@4|) (define-fun _300 () Bool (= _165 _297)) (define-fun _309 () Real |main::lk11@4|) (define-fun _312 () Bool (= _168 _309)) (define-fun _321 () Real |main::lk12@4|) (define-fun _324 () Bool (= _171 _321)) (define-fun _333 () Real |main::lk13@4|) (define-fun _336 () Bool (= _174 _333)) (define-fun _345 () Real |main::lk14@4|) (define-fun _348 () Bool (= _177 _345)) (define-fun _357 () Real |main::lk15@4|) (define-fun _360 () Bool (= _180 _357)) (define-fun _369 () Real |main::lk1@5|) (define-fun _370 () Bool (= _369 _7)) (define-fun _381 () Real |main::lk2@5|) (define-fun _382 () Bool (= _381 _7)) (define-fun _393 () Real |main::lk3@5|) (define-fun _394 () Bool (= _393 _7)) (define-fun _405 () Real |main::lk4@5|) (define-fun _406 () Bool (= _405 _7)) (define-fun _417 () Real |main::lk5@5|) (define-fun _418 () Bool (= _417 _7)) (define-fun _429 () Real |main::lk6@5|) (define-fun _430 () Bool (= _429 _7)) (define-fun _441 () Real |main::lk7@5|) (define-fun _442 () Bool (= _441 _7)) (define-fun _453 () Real |main::lk8@5|) (define-fun _454 () Bool (= _453 _7)) (define-fun _465 () Real |main::lk9@5|) (define-fun _466 () Bool (= _465 _7)) (define-fun _477 () Real |main::lk10@5|) (define-fun _478 () Bool (= _477 _7)) (define-fun _489 () Real |main::lk11@5|) (define-fun _490 () Bool (= _489 _7)) (define-fun _501 () Real |main::lk12@5|) (define-fun _502 () Bool (= _501 _7)) (define-fun _513 () Real |main::lk13@5|) (define-fun _514 () Bool (= _513 _7)) (define-fun _525 () Real |main::lk14@5|) (define-fun _526 () Bool (= _525 _7)) (define-fun _537 () Real |main::lk15@5|) (define-fun _538 () Bool (= _537 _7)) (define-fun _635 () Real |main::cond@2|) (define-fun _636 () Bool (= _635 _7)) (define-fun _638 () Bool (not _636)) (define-fun _639 () Real |main::lk1@2|) (define-fun _640 () Bool (= _639 _7)) (define-fun _641 () Bool (and _638 _640)) (define-fun _642 () Real |main::lk2@2|) (define-fun _643 () Bool (= _642 _7)) (define-fun _644 () Bool (and _641 _643)) (define-fun _645 () Real |main::lk3@2|) (define-fun _646 () Bool (= _645 _7)) (define-fun _647 () Bool (and _644 _646)) (define-fun _648 () Real |main::lk4@2|) (define-fun _649 () Bool (= _648 _7)) (define-fun _650 () Bool (and _647 _649)) (define-fun _651 () Real |main::lk5@2|) (define-fun _652 () Bool (= _651 _7)) (define-fun _653 () Bool (and _650 _652)) (define-fun _654 () Real |main::lk6@2|) (define-fun _655 () Bool (= _654 _7)) (define-fun _656 () Bool (and _653 _655)) (define-fun _657 () Real |main::lk7@2|) (define-fun _658 () Bool (= _657 _7)) (define-fun _659 () Bool (and _656 _658)) (define-fun _660 () Real |main::lk8@2|) (define-fun _661 () Bool (= _660 _7)) (define-fun _662 () Bool (and _659 _661)) (define-fun _663 () Real |main::lk9@2|) (define-fun _664 () Bool (= _663 _7)) (define-fun _665 () Bool (and _662 _664)) (define-fun _666 () Real |main::lk10@2|) (define-fun _667 () Bool (= _666 _7)) (define-fun _668 () Bool (and _665 _667)) (define-fun _669 () Real |main::lk11@2|) (define-fun _670 () Bool (= _669 _7)) (define-fun _671 () Bool (and _668 _670)) (define-fun _672 () Real |main::lk12@2|) (define-fun _673 () Bool (= _672 _7)) (define-fun _674 () Bool (and _671 _673)) (define-fun _675 () Real |main::lk13@2|) (define-fun _676 () Bool (= _675 _7)) (define-fun _677 () Bool (and _674 _676)) (define-fun _678 () Real |main::lk14@2|) (define-fun _679 () Bool (= _678 _7)) (define-fun _680 () Bool (and _677 _679)) (define-fun _681 () Real |main::lk15@2|) (define-fun _682 () Bool (= _681 _7)) (define-fun _683 () Bool (and _680 _682)) (define-fun _684 () Real |main::p1@1|) (define-fun _685 () Bool (= _684 _7)) (define-fun _686 () Bool (not _685)) (define-fun _688 () Bool (and _683 _686)) (define-fun _689 () Bool (and _683 _685)) (define-fun _690 () Bool (= _138 _133)) (define-fun _691 () Bool (and _688 _690)) (define-fun _692 () Bool (= _138 _639)) (define-fun _693 () Bool (and _689 _692)) (define-fun _694 () Bool (or _691 _693)) (define-fun _695 () Real |main::p2@1|) (define-fun _696 () Bool (= _695 _7)) (define-fun _697 () Bool (not _696)) (define-fun _699 () Bool (and _694 _697)) (define-fun _700 () Bool (and _694 _696)) (define-fun _701 () Bool (= _141 _133)) (define-fun _702 () Bool (and _699 _701)) (define-fun _703 () Bool (= _141 _642)) (define-fun _704 () Bool (and _700 _703)) (define-fun _705 () Bool (or _702 _704)) (define-fun _706 () Real |main::p3@1|) (define-fun _707 () Bool (= _706 _7)) (define-fun _708 () Bool (not _707)) (define-fun _710 () Bool (and _705 _708)) (define-fun _711 () Bool (and _705 _707)) (define-fun _712 () Bool (= _144 _133)) (define-fun _713 () Bool (and _710 _712)) (define-fun _714 () Bool (= _144 _645)) (define-fun _715 () Bool (and _711 _714)) (define-fun _716 () Bool (or _713 _715)) (define-fun _717 () Real |main::p4@1|) (define-fun _718 () Bool (= _717 _7)) (define-fun _719 () Bool (not _718)) (define-fun _721 () Bool (and _716 _719)) (define-fun _722 () Bool (and _716 _718)) (define-fun _723 () Bool (= _147 _133)) (define-fun _724 () Bool (and _721 _723)) (define-fun _725 () Bool (= _147 _648)) (define-fun _726 () Bool (and _722 _725)) (define-fun _727 () Bool (or _724 _726)) (define-fun _728 () Real |main::p5@1|) (define-fun _729 () Bool (= _728 _7)) (define-fun _730 () Bool (not _729)) (define-fun _732 () Bool (and _727 _730)) (define-fun _733 () Bool (and _727 _729)) (define-fun _734 () Bool (= _150 _133)) (define-fun _735 () Bool (and _732 _734)) (define-fun _736 () Bool (= _150 _651)) (define-fun _737 () Bool (and _733 _736)) (define-fun _738 () Bool (or _735 _737)) (define-fun _739 () Real |main::p6@1|) (define-fun _740 () Bool (= _739 _7)) (define-fun _741 () Bool (not _740)) (define-fun _743 () Bool (and _738 _741)) (define-fun _744 () Bool (and _738 _740)) (define-fun _745 () Bool (= _153 _133)) (define-fun _746 () Bool (and _743 _745)) (define-fun _747 () Bool (= _153 _654)) (define-fun _748 () Bool (and _744 _747)) (define-fun _749 () Bool (or _746 _748)) (define-fun _750 () Real |main::p7@1|) (define-fun _751 () Bool (= _750 _7)) (define-fun _752 () Bool (not _751)) (define-fun _754 () Bool (and _749 _752)) (define-fun _755 () Bool (and _749 _751)) (define-fun _756 () Bool (= _156 _133)) (define-fun _757 () Bool (and _754 _756)) (define-fun _758 () Bool (= _156 _657)) (define-fun _759 () Bool (and _755 _758)) (define-fun _760 () Bool (or _757 _759)) (define-fun _761 () Real |main::p8@1|) (define-fun _762 () Bool (= _761 _7)) (define-fun _763 () Bool (not _762)) (define-fun _765 () Bool (and _760 _763)) (define-fun _766 () Bool (and _760 _762)) (define-fun _767 () Bool (= _159 _133)) (define-fun _768 () Bool (and _765 _767)) (define-fun _769 () Bool (= _159 _660)) (define-fun _770 () Bool (and _766 _769)) (define-fun _771 () Bool (or _768 _770)) (define-fun _772 () Real |main::p9@1|) (define-fun _773 () Bool (= _772 _7)) (define-fun _774 () Bool (not _773)) (define-fun _776 () Bool (and _771 _774)) (define-fun _777 () Bool (and _771 _773)) (define-fun _778 () Bool (= _162 _133)) (define-fun _779 () Bool (and _776 _778)) (define-fun _780 () Bool (= _162 _663)) (define-fun _781 () Bool (and _777 _780)) (define-fun _782 () Bool (or _779 _781)) (define-fun _783 () Real |main::p10@1|) (define-fun _784 () Bool (= _783 _7)) (define-fun _785 () Bool (not _784)) (define-fun _787 () Bool (and _782 _785)) (define-fun _788 () Bool (and _782 _784)) (define-fun _789 () Bool (= _165 _133)) (define-fun _790 () Bool (and _787 _789)) (define-fun _791 () Bool (= _165 _666)) (define-fun _792 () Bool (and _788 _791)) (define-fun _793 () Bool (or _790 _792)) (define-fun _794 () Real |main::p11@1|) (define-fun _795 () Bool (= _794 _7)) (define-fun _796 () Bool (not _795)) (define-fun _798 () Bool (and _793 _796)) (define-fun _799 () Bool (and _793 _795)) (define-fun _800 () Bool (= _168 _133)) (define-fun _801 () Bool (and _798 _800)) (define-fun _802 () Bool (= _168 _669)) (define-fun _803 () Bool (and _799 _802)) (define-fun _804 () Bool (or _801 _803)) (define-fun _805 () Real |main::p12@1|) (define-fun _806 () Bool (= _805 _7)) (define-fun _807 () Bool (not _806)) (define-fun _809 () Bool (and _804 _807)) (define-fun _810 () Bool (and _804 _806)) (define-fun _811 () Bool (= _171 _133)) (define-fun _812 () Bool (and _809 _811)) (define-fun _813 () Bool (= _171 _672)) (define-fun _814 () Bool (and _810 _813)) (define-fun _815 () Bool (or _812 _814)) (define-fun _816 () Real |main::p13@1|) (define-fun _817 () Bool (= _816 _7)) (define-fun _818 () Bool (not _817)) (define-fun _820 () Bool (and _815 _818)) (define-fun _821 () Bool (and _815 _817)) (define-fun _822 () Bool (= _174 _133)) (define-fun _823 () Bool (and _820 _822)) (define-fun _824 () Bool (= _174 _675)) (define-fun _825 () Bool (and _821 _824)) (define-fun _826 () Bool (or _823 _825)) (define-fun _827 () Real |main::p14@1|) (define-fun _828 () Bool (= _827 _7)) (define-fun _829 () Bool (not _828)) (define-fun _831 () Bool (and _826 _829)) (define-fun _832 () Bool (and _826 _828)) (define-fun _833 () Bool (= _177 _133)) (define-fun _834 () Bool (and _831 _833)) (define-fun _835 () Bool (= _177 _678)) (define-fun _836 () Bool (and _832 _835)) (define-fun _837 () Bool (or _834 _836)) (define-fun _838 () Real |main::p15@1|) (define-fun _839 () Bool (= _838 _7)) (define-fun _840 () Bool (not _839)) (define-fun _842 () Bool (and _837 _840)) (define-fun _843 () Bool (and _837 _839)) (define-fun _844 () Bool (= _180 _133)) (define-fun _845 () Bool (and _842 _844)) (define-fun _846 () Bool (= _180 _681)) (define-fun _847 () Bool (and _843 _846)) (define-fun _848 () Bool (or _845 _847)) (define-fun _849 () Bool (and _686 _848)) (define-fun _850 () Bool (and _685 _848)) (define-fun _854 () Bool (and _690 _849)) (define-fun _855 () Bool (= _189 _7)) (define-fun _856 () Bool (and _854 _855)) (define-fun _857 () Bool (and _192 _850)) (define-fun _858 () Bool (or _856 _857)) (define-fun _859 () Bool (and _697 _858)) (define-fun _860 () Bool (and _696 _858)) (define-fun _864 () Bool (and _701 _859)) (define-fun _865 () Bool (= _201 _7)) (define-fun _866 () Bool (and _864 _865)) (define-fun _867 () Bool (and _204 _860)) (define-fun _868 () Bool (or _866 _867)) (define-fun _869 () Bool (and _708 _868)) (define-fun _870 () Bool (and _707 _868)) (define-fun _874 () Bool (and _712 _869)) (define-fun _875 () Bool (= _213 _7)) (define-fun _876 () Bool (and _874 _875)) (define-fun _877 () Bool (and _216 _870)) (define-fun _878 () Bool (or _876 _877)) (define-fun _879 () Bool (and _719 _878)) (define-fun _880 () Bool (and _718 _878)) (define-fun _884 () Bool (and _723 _879)) (define-fun _885 () Bool (= _225 _7)) (define-fun _886 () Bool (and _884 _885)) (define-fun _887 () Bool (and _228 _880)) (define-fun _888 () Bool (or _886 _887)) (define-fun _889 () Bool (and _730 _888)) (define-fun _890 () Bool (and _729 _888)) (define-fun _894 () Bool (and _734 _889)) (define-fun _895 () Bool (= _237 _7)) (define-fun _896 () Bool (and _894 _895)) (define-fun _897 () Bool (and _240 _890)) (define-fun _898 () Bool (or _896 _897)) (define-fun _899 () Bool (and _741 _898)) (define-fun _900 () Bool (and _740 _898)) (define-fun _904 () Bool (and _745 _899)) (define-fun _905 () Bool (= _249 _7)) (define-fun _906 () Bool (and _904 _905)) (define-fun _907 () Bool (and _252 _900)) (define-fun _908 () Bool (or _906 _907)) (define-fun _909 () Bool (and _752 _908)) (define-fun _910 () Bool (and _751 _908)) (define-fun _914 () Bool (and _756 _909)) (define-fun _915 () Bool (= _261 _7)) (define-fun _916 () Bool (and _914 _915)) (define-fun _917 () Bool (and _264 _910)) (define-fun _918 () Bool (or _916 _917)) (define-fun _919 () Bool (and _763 _918)) (define-fun _920 () Bool (and _762 _918)) (define-fun _924 () Bool (and _767 _919)) (define-fun _925 () Bool (= _273 _7)) (define-fun _926 () Bool (and _924 _925)) (define-fun _927 () Bool (and _276 _920)) (define-fun _928 () Bool (or _926 _927)) (define-fun _929 () Bool (and _774 _928)) (define-fun _930 () Bool (and _773 _928)) (define-fun _934 () Bool (and _778 _929)) (define-fun _935 () Bool (= _285 _7)) (define-fun _936 () Bool (and _934 _935)) (define-fun _937 () Bool (and _288 _930)) (define-fun _938 () Bool (or _936 _937)) (define-fun _939 () Bool (and _785 _938)) (define-fun _940 () Bool (and _784 _938)) (define-fun _944 () Bool (and _789 _939)) (define-fun _945 () Bool (= _297 _7)) (define-fun _946 () Bool (and _944 _945)) (define-fun _947 () Bool (and _300 _940)) (define-fun _948 () Bool (or _946 _947)) (define-fun _949 () Bool (and _796 _948)) (define-fun _950 () Bool (and _795 _948)) (define-fun _954 () Bool (and _800 _949)) (define-fun _955 () Bool (= _309 _7)) (define-fun _956 () Bool (and _954 _955)) (define-fun _957 () Bool (and _312 _950)) (define-fun _958 () Bool (or _956 _957)) (define-fun _959 () Bool (and _807 _958)) (define-fun _960 () Bool (and _806 _958)) (define-fun _964 () Bool (and _811 _959)) (define-fun _965 () Bool (= _321 _7)) (define-fun _966 () Bool (and _964 _965)) (define-fun _967 () Bool (and _324 _960)) (define-fun _968 () Bool (or _966 _967)) (define-fun _969 () Bool (and _818 _968)) (define-fun _970 () Bool (and _817 _968)) (define-fun _974 () Bool (and _822 _969)) (define-fun _975 () Bool (= _333 _7)) (define-fun _976 () Bool (and _974 _975)) (define-fun _977 () Bool (and _336 _970)) (define-fun _978 () Bool (or _976 _977)) (define-fun _979 () Bool (and _829 _978)) (define-fun _980 () Bool (and _828 _978)) (define-fun _984 () Bool (and _833 _979)) (define-fun _985 () Bool (= _345 _7)) (define-fun _986 () Bool (and _984 _985)) (define-fun _987 () Bool (and _348 _980)) (define-fun _988 () Bool (or _986 _987)) (define-fun _989 () Bool (and _840 _988)) (define-fun _990 () Bool (and _839 _988)) (define-fun _994 () Bool (and _844 _989)) (define-fun _995 () Bool (= _357 _7)) (define-fun _996 () Bool (and _994 _995)) (define-fun _997 () Bool (and _360 _990)) (define-fun _998 () Bool (or _996 _997)) (define-fun _1000 () Bool (and _136 _998)) (define-fun _1049 () Bool (and _370 _1000)) (define-fun _1050 () Bool (and _382 _1049)) (define-fun _1051 () Bool (and _394 _1050)) (define-fun _1052 () Bool (and _406 _1051)) (define-fun _1053 () Bool (and _418 _1052)) (define-fun _1054 () Bool (and _430 _1053)) (define-fun _1055 () Bool (and _442 _1054)) (define-fun _1056 () Bool (and _454 _1055)) (define-fun _1057 () Bool (and _466 _1056)) (define-fun _1058 () Bool (and _478 _1057)) (define-fun _1059 () Bool (and _490 _1058)) (define-fun _1060 () Bool (and _502 _1059)) (define-fun _1061 () Bool (and _514 _1060)) (define-fun _1062 () Bool (and _526 _1061)) (define-fun _1063 () Bool (and _538 _1062)) (define-fun _1064 () Bool (and _686 _1063)) (define-fun _1065 () Bool (and _685 _1063)) (define-fun _1066 () Real |main::lk1@6|) (define-fun _1067 () Bool (= _1066 _133)) (define-fun _1068 () Bool (and _1064 _1067)) (define-fun _1069 () Bool (= _369 _1066)) (define-fun _1070 () Bool (and _1065 _1069)) (define-fun _1071 () Bool (or _1068 _1070)) (define-fun _1072 () Bool (and _697 _1071)) (define-fun _1073 () Bool (and _696 _1071)) (define-fun _1074 () Real |main::lk2@6|) (define-fun _1075 () Bool (= _1074 _133)) (define-fun _1076 () Bool (and _1072 _1075)) (define-fun _1077 () Bool (= _381 _1074)) (define-fun _1078 () Bool (and _1073 _1077)) (define-fun _1079 () Bool (or _1076 _1078)) (define-fun _1080 () Bool (and _708 _1079)) (define-fun _1081 () Bool (and _707 _1079)) (define-fun _1082 () Real |main::lk3@6|) (define-fun _1083 () Bool (= _1082 _133)) (define-fun _1084 () Bool (and _1080 _1083)) (define-fun _1085 () Bool (= _393 _1082)) (define-fun _1086 () Bool (and _1081 _1085)) (define-fun _1087 () Bool (or _1084 _1086)) (define-fun _1088 () Bool (and _719 _1087)) (define-fun _1089 () Bool (and _718 _1087)) (define-fun _1090 () Real |main::lk4@6|) (define-fun _1091 () Bool (= _1090 _133)) (define-fun _1092 () Bool (and _1088 _1091)) (define-fun _1093 () Bool (= _405 _1090)) (define-fun _1094 () Bool (and _1089 _1093)) (define-fun _1095 () Bool (or _1092 _1094)) (define-fun _1096 () Bool (and _730 _1095)) (define-fun _1097 () Bool (and _729 _1095)) (define-fun _1098 () Real |main::lk5@6|) (define-fun _1099 () Bool (= _1098 _133)) (define-fun _1100 () Bool (and _1096 _1099)) (define-fun _1101 () Bool (= _417 _1098)) (define-fun _1102 () Bool (and _1097 _1101)) (define-fun _1103 () Bool (or _1100 _1102)) (define-fun _1104 () Bool (and _741 _1103)) (define-fun _1105 () Bool (and _740 _1103)) (define-fun _1106 () Real |main::lk6@6|) (define-fun _1107 () Bool (= _1106 _133)) (define-fun _1108 () Bool (and _1104 _1107)) (define-fun _1109 () Bool (= _429 _1106)) (define-fun _1110 () Bool (and _1105 _1109)) (define-fun _1111 () Bool (or _1108 _1110)) (define-fun _1112 () Bool (and _752 _1111)) (define-fun _1113 () Bool (and _751 _1111)) (define-fun _1114 () Real |main::lk7@6|) (define-fun _1115 () Bool (= _1114 _133)) (define-fun _1116 () Bool (and _1112 _1115)) (define-fun _1117 () Bool (= _441 _1114)) (define-fun _1118 () Bool (and _1113 _1117)) (define-fun _1119 () Bool (or _1116 _1118)) (define-fun _1120 () Bool (and _763 _1119)) (define-fun _1121 () Bool (and _762 _1119)) (define-fun _1122 () Real |main::lk8@6|) (define-fun _1123 () Bool (= _1122 _133)) (define-fun _1124 () Bool (and _1120 _1123)) (define-fun _1125 () Bool (= _453 _1122)) (define-fun _1126 () Bool (and _1121 _1125)) (define-fun _1127 () Bool (or _1124 _1126)) (define-fun _1128 () Bool (and _774 _1127)) (define-fun _1129 () Bool (and _773 _1127)) (define-fun _1130 () Real |main::lk9@6|) (define-fun _1131 () Bool (= _1130 _133)) (define-fun _1132 () Bool (and _1128 _1131)) (define-fun _1133 () Bool (= _465 _1130)) (define-fun _1134 () Bool (and _1129 _1133)) (define-fun _1135 () Bool (or _1132 _1134)) (define-fun _1136 () Bool (and _785 _1135)) (define-fun _1137 () Bool (and _784 _1135)) (define-fun _1138 () Real |main::lk10@6|) (define-fun _1139 () Bool (= _1138 _133)) (define-fun _1140 () Bool (and _1136 _1139)) (define-fun _1141 () Bool (= _477 _1138)) (define-fun _1142 () Bool (and _1137 _1141)) (define-fun _1143 () Bool (or _1140 _1142)) (define-fun _1144 () Bool (and _796 _1143)) (define-fun _1145 () Bool (and _795 _1143)) (define-fun _1146 () Real |main::lk11@6|) (define-fun _1147 () Bool (= _1146 _133)) (define-fun _1148 () Bool (and _1144 _1147)) (define-fun _1149 () Bool (= _489 _1146)) (define-fun _1150 () Bool (and _1145 _1149)) (define-fun _1151 () Bool (or _1148 _1150)) (define-fun _1152 () Bool (and _807 _1151)) (define-fun _1153 () Bool (and _806 _1151)) (define-fun _1154 () Real |main::lk12@6|) (define-fun _1155 () Bool (= _1154 _133)) (define-fun _1156 () Bool (and _1152 _1155)) (define-fun _1157 () Bool (= _501 _1154)) (define-fun _1158 () Bool (and _1153 _1157)) (define-fun _1159 () Bool (or _1156 _1158)) (define-fun _1160 () Bool (and _818 _1159)) (define-fun _1161 () Bool (and _817 _1159)) (define-fun _1162 () Real |main::lk13@6|) (define-fun _1163 () Bool (= _1162 _133)) (define-fun _1164 () Bool (and _1160 _1163)) (define-fun _1165 () Bool (= _513 _1162)) (define-fun _1166 () Bool (and _1161 _1165)) (define-fun _1167 () Bool (or _1164 _1166)) (define-fun _1168 () Bool (and _829 _1167)) (define-fun _1169 () Bool (and _828 _1167)) (define-fun _1170 () Real |main::lk14@6|) (define-fun _1171 () Bool (= _1170 _133)) (define-fun _1172 () Bool (and _1168 _1171)) (define-fun _1173 () Bool (= _525 _1170)) (define-fun _1174 () Bool (and _1169 _1173)) (define-fun _1175 () Bool (or _1172 _1174)) (define-fun _1176 () Bool (and _840 _1175)) (define-fun _1177 () Bool (and _839 _1175)) (define-fun _1178 () Real |main::lk15@6|) (define-fun _1179 () Bool (= _1178 _133)) (define-fun _1180 () Bool (and _1176 _1179)) (define-fun _1181 () Bool (= _537 _1178)) (define-fun _1182 () Bool (and _1177 _1181)) (define-fun _1183 () Bool (or _1180 _1182)) (define-fun _1184 () Bool (and _686 _1183)) (define-fun _1185 () Bool (and _685 _1183)) (define-fun _1189 () Bool (and _1067 _1184)) (define-fun _1222 () Real |main::lk1@7|) (define-fun _1223 () Bool (= _1222 _7)) (define-fun _1224 () Bool (and _1189 _1223)) (define-fun _1225 () Bool (= _1066 _1222)) (define-fun _1226 () Bool (and _1185 _1225)) (define-fun _1227 () Bool (or _1224 _1226)) (define-fun _1228 () Bool (and _697 _1227)) (define-fun _1229 () Bool (and _696 _1227)) (define-fun _1233 () Bool (and _1075 _1228)) (define-fun _1252 () Real |main::lk2@7|) (define-fun _1253 () Bool (= _1252 _7)) (define-fun _1254 () Bool (and _1233 _1253)) (define-fun _1255 () Bool (= _1074 _1252)) (define-fun _1256 () Bool (and _1229 _1255)) (define-fun _1257 () Bool (or _1254 _1256)) (define-fun _1258 () Bool (and _708 _1257)) (define-fun _1259 () Bool (and _707 _1257)) (define-fun _1263 () Bool (and _1083 _1258)) (define-fun _1275 () Real |main::lk3@7|) (define-fun _1276 () Bool (= _1275 _7)) (define-fun _1277 () Bool (and _1263 _1276)) (define-fun _1278 () Bool (= _1082 _1275)) (define-fun _1279 () Bool (and _1259 _1278)) (define-fun _1280 () Bool (or _1277 _1279)) (define-fun _1281 () Bool (and _719 _1280)) (define-fun _1282 () Bool (and _718 _1280)) (define-fun _1286 () Bool (and _1091 _1281)) (define-fun _1297 () Real |main::lk4@7|) (define-fun _1298 () Bool (= _1297 _7)) (define-fun _1299 () Bool (and _1286 _1298)) (define-fun _1300 () Bool (= _1090 _1297)) (define-fun _1301 () Bool (and _1282 _1300)) (define-fun _1302 () Bool (or _1299 _1301)) (define-fun _1303 () Bool (and _730 _1302)) (define-fun _1304 () Bool (and _729 _1302)) (define-fun _1308 () Bool (and _1099 _1303)) (define-fun _1318 () Real |main::lk5@7|) (define-fun _1319 () Bool (= _1318 _7)) (define-fun _1320 () Bool (and _1308 _1319)) (define-fun _1321 () Bool (= _1098 _1318)) (define-fun _1322 () Bool (and _1304 _1321)) (define-fun _1323 () Bool (or _1320 _1322)) (define-fun _1324 () Bool (and _741 _1323)) (define-fun _1325 () Bool (and _740 _1323)) (define-fun _1329 () Bool (and _1107 _1324)) (define-fun _1338 () Real |main::lk6@7|) (define-fun _1339 () Bool (= _1338 _7)) (define-fun _1340 () Bool (and _1329 _1339)) (define-fun _1341 () Bool (= _1106 _1338)) (define-fun _1342 () Bool (and _1325 _1341)) (define-fun _1343 () Bool (or _1340 _1342)) (define-fun _1344 () Bool (and _752 _1343)) (define-fun _1345 () Bool (and _751 _1343)) (define-fun _1349 () Bool (and _1115 _1344)) (define-fun _1357 () Real |main::lk7@7|) (define-fun _1358 () Bool (= _1357 _7)) (define-fun _1359 () Bool (and _1349 _1358)) (define-fun _1360 () Bool (= _1114 _1357)) (define-fun _1361 () Bool (and _1345 _1360)) (define-fun _1362 () Bool (or _1359 _1361)) (define-fun _1363 () Bool (and _763 _1362)) (define-fun _1364 () Bool (and _762 _1362)) (define-fun _1368 () Bool (and _1123 _1363)) (define-fun _1375 () Real |main::lk8@7|) (define-fun _1376 () Bool (= _1375 _7)) (define-fun _1377 () Bool (and _1368 _1376)) (define-fun _1378 () Bool (= _1122 _1375)) (define-fun _1379 () Bool (and _1364 _1378)) (define-fun _1380 () Bool (or _1377 _1379)) (define-fun _1381 () Bool (and _774 _1380)) (define-fun _1382 () Bool (and _773 _1380)) (define-fun _1386 () Bool (and _1131 _1381)) (define-fun _1392 () Real |main::lk9@7|) (define-fun _1393 () Bool (= _1392 _7)) (define-fun _1394 () Bool (and _1386 _1393)) (define-fun _1395 () Bool (= _1130 _1392)) (define-fun _1396 () Bool (and _1382 _1395)) (define-fun _1397 () Bool (or _1394 _1396)) (define-fun _1398 () Bool (and _785 _1397)) (define-fun _1399 () Bool (and _784 _1397)) (define-fun _1403 () Bool (and _1139 _1398)) (define-fun _1408 () Real |main::lk10@7|) (define-fun _1409 () Bool (= _1408 _7)) (define-fun _1410 () Bool (and _1403 _1409)) (define-fun _1411 () Bool (= _1138 _1408)) (define-fun _1412 () Bool (and _1399 _1411)) (define-fun _1413 () Bool (or _1410 _1412)) (define-fun _1414 () Bool (and _796 _1413)) (define-fun _1415 () Bool (and _795 _1413)) (define-fun _1419 () Bool (and _1147 _1414)) (define-fun _1437 () Real |main::lk11@7|) (define-fun _1438 () Bool (= _1437 _7)) (define-fun _1439 () Bool (and _1419 _1438)) (define-fun _1440 () Bool (= _1146 _1437)) (define-fun _1441 () Bool (and _1415 _1440)) (define-fun _1442 () Bool (or _1439 _1441)) (define-fun _1443 () Bool (and _807 _1442)) (define-fun _1444 () Bool (and _806 _1442)) (define-fun _1448 () Bool (and _1155 _1443)) (define-fun _1465 () Real |main::lk12@7|) (define-fun _1466 () Bool (= _1465 _7)) (define-fun _1467 () Bool (and _1448 _1466)) (define-fun _1468 () Bool (= _1154 _1465)) (define-fun _1469 () Bool (and _1444 _1468)) (define-fun _1470 () Bool (or _1467 _1469)) (define-fun _1471 () Bool (and _818 _1470)) (define-fun _1472 () Bool (and _817 _1470)) (define-fun _1476 () Bool (and _1163 _1471)) (define-fun _1492 () Real |main::lk13@7|) (define-fun _1493 () Bool (= _1492 _7)) (define-fun _1494 () Bool (and _1476 _1493)) (define-fun _1495 () Bool (= _1162 _1492)) (define-fun _1496 () Bool (and _1472 _1495)) (define-fun _1497 () Bool (or _1494 _1496)) (define-fun _1498 () Bool (and _829 _1497)) (define-fun _1499 () Bool (and _828 _1497)) (define-fun _1503 () Bool (and _1171 _1498)) (define-fun _1518 () Real |main::lk14@7|) (define-fun _1519 () Bool (= _1518 _7)) (define-fun _1520 () Bool (and _1503 _1519)) (define-fun _1521 () Bool (= _1170 _1518)) (define-fun _1522 () Bool (and _1499 _1521)) (define-fun _1523 () Bool (or _1520 _1522)) (define-fun _1524 () Bool (and _840 _1523)) (define-fun _1639 () Bool (not _1184)) (define-fun _1640 () Bool (or _1067 _1639)) (define-fun _1642 () Bool (not _1324)) (define-fun _1643 () Bool (or _1107 _1642)) (define-fun _1644 () Bool (and _1640 _1643)) (define-fun _1646 () Bool (not _1498)) (define-fun _1647 () Bool (or _1171 _1646)) (define-fun _1648 () Bool (and _1644 _1647)) (define-fun _1650 () Bool (not _1363)) (define-fun _1651 () Bool (or _1123 _1650)) (define-fun _1652 () Bool (and _1648 _1651)) (define-fun _1654 () Bool (not _1228)) (define-fun _1655 () Bool (or _1075 _1654)) (define-fun _1656 () Bool (and _1652 _1655)) (define-fun _1658 () Bool (not _1258)) (define-fun _1659 () Bool (or _1083 _1658)) (define-fun _1660 () Bool (and _1656 _1659)) (define-fun _1662 () Bool (not _1303)) (define-fun _1663 () Bool (or _1099 _1662)) (define-fun _1664 () Bool (and _1660 _1663)) (define-fun _1666 () Bool (not _1443)) (define-fun _1667 () Bool (or _1155 _1666)) (define-fun _1668 () Bool (and _1664 _1667)) (define-fun _1670 () Bool (not _1281)) (define-fun _1671 () Bool (or _1091 _1670)) (define-fun _1672 () Bool (and _1668 _1671)) (define-fun _1674 () Bool (not _1524)) (define-fun _1675 () Bool (or _1179 _1674)) (define-fun _1676 () Bool (and _1672 _1675)) (define-fun _1678 () Bool (not _1471)) (define-fun _1679 () Bool (or _1163 _1678)) (define-fun _1680 () Bool (and _1676 _1679)) (define-fun _1682 () Bool (not _1344)) (define-fun _1683 () Bool (or _1115 _1682)) (define-fun _1684 () Bool (and _1680 _1683)) (define-fun _1686 () Bool (not _1381)) (define-fun _1687 () Bool (or _1131 _1686)) (define-fun _1688 () Bool (and _1684 _1687)) (define-fun _1690 () Bool (not _1398)) (define-fun _1691 () Bool (or _1139 _1690)) (define-fun _1692 () Bool (and _1688 _1691)) (define-fun _1694 () Bool (not _1414)) (define-fun _1695 () Bool (or _1147 _1694)) (define-fun _1696 () Bool (and _1692 _1695)) (define-fun _1697 () Bool (not _1696)) (assert _1) (assert _1697) (check-sat) (exit)
SMT
2
livinlife6751/infer
sledge/test/smt/QF_UFLRA/cpachecker-induction-svcomp14/cpachecker-induction.test_locks_15_true-unreach-call_false-termination.c.smt2
[ "MIT" ]
'reach 0.1'; var x = 0; export const main = Reach.App( {}, [], () => { return x; } );
RenderScript
1
chikeabuah/reach-lang
hs/t/n/Err_Block_Variable.rsh
[ "Apache-2.0" ]
Code for local-mode. This will not be loaded under meteor. 'use strict' require ['./domCursor'], (DC)-> window.DOMCursor = DC init = (base, jqui, EditorSupport, Modes, Diag, P2P, Tests, Defaults, UI, Search, Emacs, Todo, Advice, LoungeDefs, Atom, Tangle, Storage, Presentation, ODB)-> ODB.trackOdb() #ODB.useOdb 'User' { OrgData installSelectionMenu getDocumentParams editorToolbar } = EditorSupport { plainEditDiv fancyEditDiv } = Modes { createStructureDisplay createEditorDisplay } = Diag { Peer } = P2P { runTests } = Tests { renderView initializePendingViews withContext setPanelExpanded localResources } = UI { addSearchDataFilter } = Search { addEmacsDataFilter } = Emacs { todoForEditor } = Todo { changeAdvice } = Advice { configureAtom } = Atom { initStorage } = Storage useP2P = true #useP2P = false peer = null p2pPanel = null p2pConnections = null DEFAULT_PAGE='demo/documentComputers.lorg' Leisure.presentation = Presentation Leisure.configureP2P = ({panel, hostField, sessionField, createSessionButton, connections})-> p2pPanel = panel p2pConnections = connections if !useP2P then panel.css 'display', 'none' hostField.val document.location.host || "localhost:8080" createSessionButton.data hasSession: false Leisure.createSession = (url, doneFunc)-> createSessionButton.closest('.contents').removeClass 'not-connected' createSessionButton.closest('.contents').addClass 'connected' peer.createSession hostField.val(), ((con)-> url = new URL("", document.location) url.search = "?join=#{peer.connectUrl}" sessionField.attr 'href', url.toString() sessionField.text url.toString() setPanelExpanded panel, true createSessionButton.button('option', 'label', 'Disconnect') doneFunc?()), (n)-> connections.html n createSessionButton.click -> if !createSessionButton.data().hasSession Leisure.createSession hostField.val() else createSessionButton.closest('.contents').removeClass 'connected' createSessionButton.closest('.contents').addClass 'not-connected' peer.disconnect() createSessionButton.button('option', 'label', 'Create Session') setTimeout (->setPanelExpanded panel, true), 1 createSessionButton.data hasSession: !createSessionButton.data().hasSession configureLocal = (opts)-> u = new URL '.', opts.loadName opts.data.localURL = u.href localActivateScripts opts Leisure.localActivateScripts = localActivateScripts = (opts)-> changeAdvice opts.editor, true, activateScripts: local: (parent)->(el, context)-> ret = parent el, context errorEvt = (e)-> checkImage opts, e.target removeEvents e removeEvents = (e)-> e.target.removeEventListener 'load', removeEvents e.target.removeEventListener 'error', errorEvt for img in $(el).find 'img' if !img.complete && !localResources[img.src] img.addEventListener 'error', errorEvt img.addEventListener 'load', removeEvents else checkImage opts, img checkImage = (opts, img)-> if (img.complete && !img.naturalHeight) || localResources[img.src] src = img.getAttribute 'src' if !src.match '^.*:.*' name = src.match(/([^#?]*)([#?].*)?$/)?[1] else name = src.match(/^file:([^#?]*)([#?].*)?$/)?[1] if name && !img.leisureLoaded img.leisureLoaded = true try u = new URL name, opts.data.loadName localResources[img.src] = img.src = u.href img.onerror = (e)-> opts.imageError img, e catch err opts.imageError img, err $(document).ready -> runTests() installSelectionMenu() if useP2P window.PEER = peer = new Peer window.DATA = data = peer.data p2pPanel?.css 'display', '' else window.DATA = data = new OrgData() addSearchDataFilter data Leisure.autoLoadEnv ['wisp'], './wispSupport' data.processDefaults(Defaults).then => createStructureDisplay data #window.ED = plainEditDiv $("[maindoc]"), data window.ED = fancyEditDiv $("[maindoc]"), data ED.options.validateMode = true if useP2P then window.PEER.setEditor ED createEditorDisplay ED todoForEditor ED if document.location.search {load, theme, join} = getDocumentParams() else load = DEFAULT_PAGE if load ED.options.data.baseDocName = load load = new URL(load, document.location).toString() ED.options.loadName = load configureLocal ED.options tanglePresent = false $.ajax(load + '.tangle') .done((content)-> tanglePresent = ED.options.data.tangled = true #console.log "Handle tangle:", content ED.options.data.loadTangles content) .always -> $.ajax(load) .then (data)-> #console.log "Tangle present: ", tanglePresent ED.options.load load, data else configureAtom ED.options, configureLocal if theme then ED.options.setTheme theme if join setTimeout (-> createSessionButton = $(editorToolbar window.PEER.editor.node).find('[name=p2pConnector] [name=createSession]') createSessionButton.data hasSession: true createSessionButton.closest('.contents').removeClass 'not-connected' createSessionButton.closest('.contents').addClass 'connected' createSessionButton.button 'option', 'label', 'Disconnect' console.log "CREATE SESSION:", createSessionButton[0] u = new URL join console.log "JOIN SESSION: #{u}" window.PEER.connectToSession u.toString(), null, (n)-> p2pConnections.html n), 1 $('#globalLoad').remove() require ['./editor', 'jquery', 'lodash', 'bluebird'], (editor, $, ld, Bluebird)-> #Bluebird.Promise.config longStackTraces: true, monitoring: true editor.set$ $, (obj)-> obj instanceof $ require ['acorn', 'acorn_walk'], -> require ['acorn_loose'], -> require ['./base', 'jqueryui', './editorSupport', './modes', './diag', './leisure-client-adapter', './tests', 'text!../src/defaults.lorg', './ui', './search', './emacs', './todo', './advice', './lounge', 'atomSupport', './tangle', './storage', './presentation', './odb'], init
Literate CoffeeScript
4
zot/Leisure
src/local.litcoffee
[ "Zlib" ]
XDEF _sqrt__r XDEF _estinvsqrt__r XDEF _estinv__r XDEF _sqrt XDEF _estinvsqrt XDEF _estinv ; XREF _errno SECTION ":0",Code _estinvsqrt__r: _estinvsqrt: frsqrte f1,f1 blr _estinv__r: _estinv: fres f1,f1 blr _sqrt__r: _sqrt: lw r3,@__sqrt_data lwz r4,32(r1) stwu r1,-64(r1) sqrt.b: li r11,0 start_sqrt: li r9,0 mffs f12 repeat: stfd f1,32(r1) lwz r4,32(r1) li r5,511 lfd f11,1040(r3) addi r6,r4,0 rlwimi r4,r5,21,0,10 stw r4,32(r1) lfd f2,32(r1) mtfsf 255,f11 rlwinm r4,r4,21,22,28 lfsux f3,r4,r3 rlwinm r5,r6,12,21,31 cmpwi cr7,r6,0 lfs f4,4(r4) fnmsub f5,f3,f3,f2 cmpwi cr6,r5,0 fadd f6,f4,f4 lwz r8,36(r1) blt cr7,arg_negative lfd f7,1024(r3) cmpwi cr7,r5,2047 fmadd f3,f4,f5,f3 beq cr6,zero_exp addi r5,r5,1024 add r5,r5,r9 rlwinm r5,r5,19,1,11 beq cr7,max_exp stw r5,32(r1) fnmsub f8,f4,f3,f7 li r5,0 stw r5,36(r1) lfd f9,32(r1) fmadd f4,f8,f6,f4 fnmsub f5,f3,f3,f2 stfd f12,48(r1) fadd f6,f4,f4 fmadd f3,f4,f5,f3 lwz r10,52(r1) fmul f0,f2,f9 fnmsub f8,f4,f3,f7 fmadd f4,f8,f6,f4 clrlwi r10,r10,30 fnmsub f5,f3,f3,f2 stw r10,52(r1) fadd f6,f4,f4 cmpwi cr7,r11,0 fmadd f3,f4,f5,f3 lfd f10,48(r1) fnmsub f8,f4,f3,f7 fmul f1,f3,f9 fmadd f4,f8,f6,f4 bne cr7,return_single fnmsub f5,f3,f1,f0 mtfsf 255,f10 fmadd f1,f4,f5,f1 mtfsf 255,f12 addi r1,r1,64 blr return_single: fnmsub f5,f3,f1,f0 mtfsf 255,f10 fmadd f1,f4,f5,f1 frsp f1,f1 mtfsf 255,f12 addi r1,r1,64 blr arg_negative: clrlwi r7,r6,1 or. r7,r7,r8 bne domain_error negative_zero: mtfsf 255,f12 addi r1,r1,64 blr domain_error: rlwinm r7,r6,12,21,31 cmpwi r7,2047 beq max_exp invalid_return: ; lw r5,@_errno lfd f1,1032(r3) ; li r3,33 ; stw r3,0(r5) mtfsf 255,f12 addi r1,r1,64 blr max_exp: clrlwi r7,r6,12 or. r8,r7,r8 cmpwi cr7,r8,0 bne its_a_nan infinity: cmpwi r6,0 blt invalid_return mtfsf 255,f12 addi r1,r1,64 blr its_a_nan: rlwinm. r7,r6,12,0,0 bne its_a_qnan oris r6,r6,8 stw r6,32(r1) lfd f1,32(r1) ; lw r5,@_errno ; li r3,33 ; stw r3,0(r5) mtfsf 255,f12 addi r1,r1,64 blr its_a_qnan: mtfsf 255,f12 addi r1,r1,64 blr zero_exp: or. r7,r6,r8 bne denorm mtfsf 255,f12 addi r1,r1,64 blr denorm: lfs f2,1048(r3) fmul f1,f1,f2 li r9,-64 b repeat stwu r1,-64(r1) li r11,1 b start_sqrt stwu r1,-64(r1) lfd f1,0(r3) li r11,0 b start_sqrt stwu r1,-64(r1) lfs f1,0(r3) li r11,1 b start_sqrt SECTION ":1",Data _sqrt_data: dc.l $3f35b99e,$3f3450fc,$3f3720dd,$3f32ef41,$3f388560,$3f319589,$3f39e738,$3f304387,$3f3b4673,$3f2ef8f2,$3f3ca321 dc.l $3f2db587,$3f3dfd4e,$3f2c7904,$3f3f5509,$3f2b432a,$3f40aa5f,$3f2a13c0,$3f41fd5c,$3f28ea8c,$3f434e0d,$3f27c759 dc.l $3f449c7e,$3f26a9f4,$3f45e8b9,$3f25922c,$3f4732ca,$3f247fd3,$3f487abc,$3f2372bd,$3f49c098,$3f226abe,$3f4b046a dc.l $3f2167af,$3f4c463a,$3f206968,$3f4d8613,$3f1f6fc4,$3f4ec3fc,$3f1e7aa0,$3f500000,$3f1d89d9,$3f513a26,$3f1c9d4e dc.l $3f527278,$3f1bb4e1,$3f53a8fd,$3f1ad073,$3f54ddbc,$3f19efe6,$3f5610bf,$3f191320,$3f57420b,$3f183a05,$3f5871a9 dc.l $3f17647c,$3f599fa0,$3f16926c,$3f5acbf5,$3f15c3bc,$3f5bf6b1,$3f14f857,$3f5d1fd9,$3f143026,$3f5e4773,$3f136b13 dc.l $3f5f6d87,$3f12a90b,$3f609219,$3f11e9f9,$3f61b531,$3f112dca,$3f62d6d3,$3f10746d,$3f63f704,$3f0fbdce,$3f6515cc dc.l $3f0f09dd,$3f66332e,$3f0e5889,$3f674f2f,$3f0da9c2,$3f6869d6,$3f0cfd79,$3f698327,$3f0c539f,$3f6a9b26,$3f0bac25 dc.l $3f6bb1d9,$3f0b06fd,$3f6cc744,$3f0a641a,$3f6ddb6b,$3f09c36d,$3f6eee53,$3f0924ec,$3f700000,$3f088889,$3f711076 dc.l $3f07ee37,$3f721fba,$3f0755ed,$3f732dcf,$3f06bf9e,$3f743aba,$3f062b40,$3f75467e,$3f0598c7,$3f76511e,$3f05082a dc.l $3f775aa0,$3f04795f,$3f786305,$3f03ec5c,$3f796a52,$3f036117,$3f7a708b,$3f02d788,$3f7b75b1,$3f024fa6,$3f7c79ca dc.l $3f01c967,$3f7d7cd8,$3f0144c4,$3f7e7ede,$3f00c1b4,$3f7f7fe0,$3f004030,$3f807fc0,$3eff017e,$3f817dc7,$3efd0d3e dc.l $3f8279df,$3efb2452,$3f837413,$3ef9464e,$3f846c6f,$3ef772cb,$3f8562fc,$3ef5a969,$3f8657c5,$3ef3e9cb,$3f874ad3 dc.l $3ef23399,$3f883c2f,$3ef08681,$3f892be3,$3eeee232,$3f8a19f6,$3eed4660,$3f8b0672,$3eebb2c5,$3f8bf15e,$3eea271a dc.l $3f8cdac3,$3ee8a31d,$3f8dc2a7,$3ee72691,$3f8ea912,$3ee5b139,$3f8f8e0c,$3ee442db,$3f90719a,$3ee2db41,$3f9153c4 dc.l $3ee17a36,$3f923491,$3ee01f87,$3f931406,$3edecb04,$3f93f229,$3edd7c7f,$3f94cf01,$3edc33cc,$3f95aa92,$3edaf0bf dc.l $3f9684e4,$3ed9b330,$3f975dfa,$3ed87af7,$3f9835dc,$3ed747ee,$3f990c8c,$3ed619f2,$3f99e211,$3ed4f0df,$3f9ab66f dc.l $3ed3cc93,$3f9b89ac,$3ed2acee,$3f9c5bcb,$3ed191d1,$3f9d2cd1,$3ed07b1d,$3f9dfcc2,$3ecf68b6,$3f9ecba4,$3ece5a7f dc.l $3f9f9979,$3ecd505e,$3fa06646,$3ecc4a38,$3fa1320e,$3ecb47f4,$3fa1fcd7,$3eca497a,$3fa2c6a3,$3ec94eb3,$3fa38f75 dc.l $3ec85787,$3fa45753,$3ec763e2,$3fa51e3e,$3ec673ac,$3fa5e43b,$3ec586d3,$3fa6a94d,$3ec49d42,$3fa76d77,$3ec3b6e6 dc.l $3fa830bc,$3ec2d3ad,$3fa8f31f,$3ec1f383,$3fa9b4a4,$3ec11659,$3faa754d,$3ec03c1c,$3fab351d,$3ebf64bd,$3fabf417 dc.l $3ebe902c,$3facb23e,$3ebdbe58,$3fad6f95,$3ebcef34,$3fae2c1e,$3ebc22b1,$3faee7db,$3ebb58c0,$3fafa2d0,$3eba9154 dc.l $3fb05cff,$3eb9cc60,$3fb1166a,$3eb909d6,$3fb1cf13,$3eb849aa,$3fb286fe,$3eb78bd0,$3fb33e2c,$3eb6d03d,$3fb3f49f dc.l $3eb616e4,$3fb4aa5a,$3eb55fba,$3fe00000,1,-$80000,0,$5f800000,0 @__sqrt_data: dc.l _sqrt_data ;@_errno: ; dc.l _errno
Parrot Assembly
3
privatosan/RayStorm
srcAmiga/lib_ppcmath/sqrt_asm.pasm
[ "MIT" ]
(defprolog riddle <-- (house A) (house B) (house C) (house D) (house E) (is Houses [A B C D E]) (member [brit _ _ _ red] Houses) (member [swede dog _ _ _] Houses) (member [dane _ _ tea _] Houses) (left [_ _ _ _ green] [_ _ _ _ white] Houses) (member [_ _ _ coffee green] Houses) (member [_ bird pallmall _ _] Houses) (member [_ _ dunhill _ yellow] Houses) (is C [_ _ _ milk _]) (is A [norwegian _ _ _ _]) (next [_ _ blends _ _] [_ cat _ _ _] Houses) (next [_ horse _ _ _] [_ _ dunhill _ _] Houses) (member [_ _ bluemaster beer _] Houses) (member [german _ prince _ _] Houses) (next [norwegian _ _ _ _] [_ _ _ _ blue] Houses) (next [_ _ blends _ _] [_ _ _ water _] Houses) (who-owns-the-fish? Nationality Houses);) (defprolog member X (- [X | _]) <--; X (- [_ | Z]) <-- (member X Z);) (defprolog house [Nationality Pet Cigarette Drink Colour] <--;) (defprolog next X Y List <-- (left X Y List); X Y List <-- (left Y X List);) (defprolog left L R (- [L R | _]) <--; L R (- [_ | Houses]) <-- (left L R Houses);) (defprolog who-owns-the-fish? Nationality Houses <-- (member [Nationality fish _ _ _] Houses) (return Nationality);)
Shen
4
tizoc/chibi-shen
shen-test-programs/einsteins-riddle.shen
[ "BSD-3-Clause" ]
OPTION, PSDUMPFREQ=102; // 6d data written every x time steps (h5). OPTION, STATDUMPFREQ=10; // Beam Stats written every x time steps (stat). OPTION, BOUNDPDESTROYFQ=10; // Delete lost particles, if any OPTION, AUTOPHASE=8; OPTION, VERSION = 20000; //10600; Title, string="Photoinjector Beamline"; //---------------------------------------------------------------------------- //Global Parameters //---------------------------------------------------------------------------- REAL rf_freq=2.856e9; // RF frequency. (Hz) REAL n_particles=100000; // Number of particles in simulation. (Overridden if distibution imported) REAL beam_bunch_charge=300e-12; // Charge of bunch. (C) // Initial Momentum (Set very small when starting simulation from cathode emission) REAL Edes=1.4e-9; // Setting small initial energy REAL gamma=(Edes+EMASS)/EMASS; REAL beta=sqrt(1-(1/gamma^2)); REAL P0=gamma*beta*EMASS; //inital z momentum REAL slac_length=3.01; REAL hwl=0.052464; //half-wavelength of cavity //---------------------------------------------------------------------------- //Bookkeeping //---------------------------------------------------------------------------- //---------------------------------------------------------------------------- // Injector Accelerating Cavities //---------------------------------------------------------------------------- //---------------------------------------------------------------------------- // Import APS LINAC Lattice definitions //---------------------------------------------------------------------------- //CALL,FILE="PCG_L1_linac.txt"; // Gun through L1 REAL pcg_offset = 0.738; REAL pcg_start = 0; REAL pcg_length = 0.15; // TODO: Currently taken from gunCavity.dat length. Is this correct? REAL pcg_phi_deg = -13.534; PCG: RFCavity, L = pcg_length, VOLT = 100.0, ELEMEDGE = pcg_start, TYPE = "STANDING", FMAPFN = "gunCavity.T7", FREQ = 2856.0, LAG = (pcg_phi_deg*Pi)/180.0; // LAG (phase) is converted to radians REAL solenoid_start = pcg_offset - 0.5831; REAL solenoid_length = 0.355601 * 2; // TODO: This length is taken from field map, not sure if it matters REAL solenoid_strength = 0.22989; MS: Solenoid, L = solenoid_length, ELEMEDGE = solenoid_start, KS = solenoid_strength, FMAPFN = "Solenoid.T7"; REAL l1_start = 1.12682 + pcg_offset + hwl; REAL l1_phi_deg = -4.982; L1: TRAVELINGWAVE, L = slac_length, VOLT = 17.594, ELEMEDGE = l1_start, NUMCELLS = 84, MODE = 1/3, FAST = False, FMAPFN = "TWS_Sband.T7", FREQ = 2856.0, LAG = (l1_phi_deg*Pi)/180.0; // LAG (phase) is converted to radians Q1: QUADRUPOLE, L = 0.136, ELEMEDGE = 1.212 + pcg_offset, K1 = 0.1620695476; Q2: QUADRUPOLE, L = 0.136, ELEMEDGE = 1.542 + pcg_offset, K1 = -0.1866068772055; PCG_LINE: Line = (PCG, MS, L1); //---------------------------------------------------------------------------- // Master Line Definitions //---------------------------------------------------------------------------- LINAC: Line = (PCG_LINE); //---------------------------------------------------------------------------- // INITIAL DISTRIBUTION // astra_dist taken from radial1k0.ini // gen_dist is an attempt to approximately replicate radial1k0 with a // transverse hardedge distribution and gaussian temporal profile (zero initial emittance still) //---------------------------------------------------------------------------- gen_dist: DISTRIBUTION, TYPE = FLATTOP, SIGMAX = 0.00040 * 2, SIGMAY = 0.00040 * 2, SIGMAT = 1.15e-12, CUTOFFLONG = 4.0, NBIN = 9, SBIN = 100, EMISSIONSTEPS = 100, EMISSIONMODEL = ASTRA, EKIN = 0.2, EMITTED = True, WRITETOFILE = True; //Saves the distribution to a text file // Cold Gaussian distribution for testing purposes cold_gaussian: DISTRIBUTION, TYPE = GAUSS, SIGMAX = 0.0007 * 2, SIGMAPX = 50.0, SIGMAY = 0.0007 * 2, SIGMAPY = 50.0, SIGMAZ = 0.0007 * 2, SIGMAPZ = 1.1E6, EMITTED = False, INPUTMOUNITS = EV, WRITETOFILE = True; //---------------------------------------------------------------------------- // Define Field solvers //---------------------------------------------------------------------------- FS_SC: Fieldsolver, FSTYPE = FFT, // None or FFT MX = 32, MY = 32, MT = 32, PARFFTX = false, PARFFTY = false, PARFFTT = true, //parallel in the z direction only BCFFTX = open, BCFFTY = open, BCFFTT = open, BBOXINCR = 1, //ENBINS = 9, GREENSF = INTEGRATED; //---------------------------------------------------------------------------- // Electron Beam Definition BEAM1: BEAM, PARTICLE = ELECTRON, pc = P0, NPART = n_particles, BFREQ = rf_freq*1e-6, BCURRENT = beam_bunch_charge * rf_freq, CHARGE = -1; //---------------------------------------------------------------------------- // Initialize Simulation //---------------------------------------------------------------------------- TRACK, LINE = LINAC, BEAM = BEAM1, MAXSTEPS = 10000000, DT = 5e-13, ZSTOP = 5.5; //TODO: Change back after sirepo.lib fixed //DT = {1.0e-13, 5.0e-13}, ZSTOP={0.4, 5.5}; RUN, METHOD = "PARALLEL-T", BEAM = BEAM1, FIELDSOLVER = FS_SC, DISTRIBUTION = gen_dist; ENDTRACK; Stop; Quit;
Opal
5
mkeilman/sirepo
tests/lib_data/opal_4/first.opal
[ "Apache-2.0" ]
;; These options just make it easier to use the file independently ;; in a way that is consistent with how it is used via Haskell (set-option :print-success true) (set-option :produce-models true) (set-option :produce-unsat-cores true) (set-option :pp.bv-literals false) (set-logic ALL) (declare-sort Address 0) (declare-sort Null 0) (declare-fun null () Null) (declare-datatypes ((Bytes 0)) (((bytes0) (bytes-literal (toBytes_Literal_x Int)) (toBytes_Int (toBytes_Int_x (_ BitVec 256))) (toBytes_Bool (toBytes_Bool_x Bool)) (toBytes_Bytes (toBytes_Bytes_x Bytes)) (msg-cat (msg-left Bytes) (msg-right Bytes))))) (declare-fun digest (Bytes) (_ BitVec 256))
SMT
4
chikeabuah/reach-lang
hs/smt2/runtime-bt.smt2
[ "Apache-2.0" ]
using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.Http; using System.Web.Routing; namespace CNTKAzureTutorial01 { public class WebApiApplication : System.Web.HttpApplication { protected void Application_Start() { GlobalConfiguration.Configure(WebApiConfig.Register); string pathValue = Environment.GetEnvironmentVariable("PATH"); string domainBaseDir = AppDomain.CurrentDomain.BaseDirectory; string cntkPath = domainBaseDir + @"bin\"; pathValue += ";" + cntkPath; Environment.SetEnvironmentVariable("PATH", pathValue); } } }
C#
4
shyamalschandra/CNTK
Examples/Evaluation/CNTKAzureTutorial01/CNTKAzureTutorial01/Global.asax.cs
[ "MIT" ]
PREFIX : <http://example.org/> SELECT * WHERE { ?s ?p ?o OPTIONAL {?o ?p2 ?o2 } } ORDER BY ?s ?p ?o ?p2 ?o2
SPARQL
3
alpano-unibz/ontop
test/sparql-compliance/src/test/resources/testcases-dawg-sparql-1.1/json-res/jsonres02.rq
[ "Apache-2.0" ]
/* This linker script fragment is intended to be included in SECTIONS. */ /* Zeroed-out data section */ .bss : { . = ALIGN(4); _sbss = .; *(.bss*) *(COMMON) . = ALIGN(4); _ebss = .; } >RAM /* This is to define the start of the heap, and make sure there is a minimum size */ .heap : { . = ALIGN(4); . = . + _minimum_heap_size; . = ALIGN(4); } >RAM /* This checks there is enough RAM for the stack */ .stack : { . = ALIGN(4); . = . + _minimum_stack_size; . = ALIGN(4); } >RAM
Linker Script
4
sebastien-riou/micropython
ports/stm32/boards/common_bss_heap_stack.ld
[ "MIT" ]
' Licensed to the .NET Foundation under one or more agreements. ' The .NET Foundation licenses this file to you under the MIT license. ' See the LICENSE file in the project root for more information. Public Structure UserDefinedBinaryOperator{2} Public Shared Operator +(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator -(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator *(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator /(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator \(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator Mod(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator ^(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator =(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator <>(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator <(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator >(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator <=(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator >=(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator Like(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator &(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator And(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator Or(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator Xor(x As UserDefinedBinaryOperator{2}{0}, y As UserDefinedBinaryOperator{2}{1}) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator <<(x As UserDefinedBinaryOperator{2}{0}, y As Integer) As UserDefinedBinaryOperator{2} Return x End Operator Public Shared Operator >>(x As UserDefinedBinaryOperator{2}{0}, y As Integer) As UserDefinedBinaryOperator{2} Return x End Operator End Structure
Visual Basic
3
ffMathy/roslyn
src/Compilers/VisualBasic/Test/Emit/ExpressionTrees/Sources/UserDefinedBinaryOperators.vb
[ "MIT" ]
package com.baeldung.couchbase.spring; import org.springframework.context.annotation.ComponentScan; import org.springframework.context.annotation.Configuration; @Configuration @ComponentScan(basePackages = { "com.baeldung.couchbase.spring" }) public class IntegrationTestConfig { }
Java
4
zeesh49/tutorials
couchbase/src/test/java/com/baeldung/couchbase/spring/IntegrationTestConfig.java
[ "MIT" ]
defmodule Phoenix.Digester.GzipTest do use ExUnit.Case, async: true alias Phoenix.Digester.Gzip test "compress_file/2 compresses file" do file_path = "test/fixtures/digest/priv/static/css/app.css" content = File.read!(file_path) {:ok, compressed} = Gzip.compress_file(file_path, content) assert is_binary(compressed) end end
Elixir
3
faheempatel/phoenix
test/phoenix/digester/gzip_test.exs
[ "MIT" ]
package org.baeldung.conditionalflow; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.boot.CommandLineRunner; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; @SpringBootApplication public class ConditionalFlowApplication implements CommandLineRunner { private static Logger logger = LoggerFactory.getLogger(ConditionalFlowApplication.class); public static void main(String[] args) { SpringApplication.run(ConditionalFlowApplication.class, args); } @Override public void run(String... args) throws Exception { logger.info("Running conditional flow application..."); } }
Java
4
DBatOWL/tutorials
spring-batch/src/main/java/org/baeldung/conditionalflow/ConditionalFlowApplication.java
[ "MIT" ]
<!doctype html> <html lang="en" data-framework="cujo"> <head> <meta charset="utf-8"> <title>cujo • TodoMVC</title> <link rel="stylesheet" href="node_modules/todomvc-common/base.css"> <link rel="stylesheet" href="node_modules/todomvc-app-css/index.css"> </head> <body> <section id="todoapp"></section> <script src="node_modules/todomvc-common/base.js"></script> <script data-curl-run="app/run" src="node_modules/curl/src/curl.js"></script> </body> </html>
HTML
3
dtelaroli/todomvc
examples/cujo/index.html
[ "MIT" ]
public final class VoidReturnKt /* VoidReturnKt*/ { public static final void foo(@org.jetbrains.annotations.NotNull() java.lang.String);// foo(java.lang.String) }
Java
1
Mu-L/kotlin
compiler/testData/asJava/lightClasses/nullabilityAnnotations/VoidReturn.java
[ "ECL-2.0", "Apache-2.0" ]
{-# LANGUAGE OverloadedStrings #-} -- simple parser for a Lisp-like syntax I wrote some time ago import Data.Void (Void) import Data.Text (Text) import qualified Data.Text as T import Text.Megaparsec.Char import Text.Megaparsec.Error (errorBundlePretty) import Text.Megaparsec hiding (State) import qualified Text.Megaparsec.Char.Lexer as L data LispVal  = Symbol Text  | List [LispVal]  | Number Integer  | String Text  | LispTrue  | LispFalse  | Nil  deriving (Show, Eq) type Parser = Parsec Void Text readStr :: Text -> Either String [LispVal] readStr t =  case parse pLisp "f" t of  Right parsed -> Right parsed  Left err -> Left $ errorBundlePretty err {-# INLINABLE readStr #-} sc :: Parser () sc = L.space space1 (L.skipLineComment ";") empty {-# INLINABLE sc #-} lexeme :: Parser a -> Parser a lexeme = L.lexeme sc {-# INLINE lexeme #-} symbol :: Text -> Parser Text symbol = L.symbol sc {-# INLINE symbol #-} symbol' :: Text -> Parser Text symbol' = L.symbol' sc {-# INLINE symbol' #-} pNil :: Parser LispVal pNil = symbol' "nil" >> return Nil {-# INLINE pNil #-} integer :: Parser Integer integer = lexeme L.decimal {-# INLINE integer #-} lispSymbols :: Parser Char lispSymbols = oneOf ("#$%&|*+-/:<=>?@^_~" :: String) {-# INLINE lispSymbols #-} pLispVal :: Parser LispVal pLispVal = choice [pList, pNumber, pSymbol, pNil, pString] {-# INLINE pLispVal #-} pSymbol :: Parser LispVal pSymbol = (Symbol . T.pack <$> lexeme (some (letterChar <|> lispSymbols))) {-# INLINABLE pSymbol #-} pList :: Parser LispVal pList = List <$> between (symbol "(") (symbol ")") (many pLispVal) {-# INLINABLE pList #-} pLisp :: Parser [LispVal] pLisp = some pLispVal {-# INLINE pLisp #-} pNumber :: Parser LispVal pNumber = Number <$> integer {-# INLINE pNumber #-} pString :: Parser LispVal pString = do  str <- char '\"' *> manyTill L.charLiteral (char '\"')  return $ String (T.pack str) {-# INLINABLE pString #-}
Haskell
5
JesseVermeulen123/bat
tests/syntax-tests/highlighted/Haskell/test.hs
[ "Apache-2.0", "MIT" ]
MODULE mg_analysis DESCRIPTION Tools for analysis VERSION 1.0 SOURCE mgalloy BUILD_DATE January 18, 2011 FUNCTION MG_ARRAY_EQUAL 2 2 KEYWORDS FUNCTION MG_TOTAL 1 1
IDL
0
JavascriptID/sourcerer-app
src/test/resources/samples/langs/IDL/mg_analysis.dlm
[ "MIT" ]
import * as c from "cmodule"; export function foo() { // variable name matches the imported package name const cmodule = c([1, 2]); return cmodule + cmodule; }
JavaScript
4
1shenxi/webpack
test/cases/optimize/concat-star-import/module.js
[ "MIT" ]
#include <WinAPIRes.au3> #include <WinAPISys.au3> #include <String.au3> #cs -------------------------------------------------------------------------------- AutoIt Version: 3.3.14.5 Author: VIVI (https://github.com/V1V1) | (https://twitter.com/_theVIVI) Script Function: Patches ETW out of the current process. Notes: Adapted from - https://www.mdsec.co.uk/2020/03/hiding-your-net-etw/ Credits - Adam Chester (https://twitter.com/_xpn_) Example usage: https://github.com/V1V1/OffensiveAutoIt/blob/main/Execution/ExecuteAssembly/ExecuteAssembly.au3 #ce -------------------------------------------------------------------------------- Func _PatchETW() ConsoleWrite("[*] Patching ETW" & @CRLF & @CRLF) ; Define patch bytes - specifically for 64 bit process Local $patchBytes = "0x30786333" ; Get EtwEventWrite location Local $ndllStr = _HexToString("0x6e74646c6c2e646c6c") Local $ntdll = _WinAPI_LoadLibrary($ndllStr) If $ntdll = 0 Then ConsoleWrite("[X] Couldn't load DLL." & @CRLF & @CRLF) Exit EndIf ; Get EtwEventWrite address Local $etwEWStr = _HexToString("0x4574774576656e745772697465") Local $etwEW = _WinAPI_GetProcAddress($ntdll, $etwEWStr) If $etwEW = 0 Then ConsoleWrite("[X] Failed to get EtwEventWrite address." & @CRLF & @CRLF) Exit EndIf ; Make memory region writable ; Patch length Local $patchSize = BinaryLen($patchBytes) ; VirtualProtect Local $vpCall = DllCall("Kernel32.dll", "int", "VirtualProtect", _ "ptr", $etwEW, _ "long", $patchSize, _ "dword", 0x40, _ "dword*", 0) Local $hProtect = $vpCall[0] Local $oldProtect = $vpCall[4] ;~ Byte array to the address Local $patchBuffer = DllStructCreate("byte[" & $patchSize & "]", $etwEW) ;~ Copy patch DllStructSetData($patchBuffer, 1, $patchBytes) ; Restore region to RX Local $resCall = DllCall("Kernel32.dll", "int", "VirtualProtect", _ "ptr", $etwEW, _ "long", $patchSize, _ "dword", $oldProtect, _ "dword*", 0) ConsoleWrite(" [+] ETW patch successful" & @CRLF & @CRLF) EndFunc ;==>_PatchETW()
AutoIt
4
ohio813/OffensiveAutoIt
Defense-Evasion/PatchETW.au3
[ "BSD-2-Clause" ]
// Copyright 2020 The gRPC Authors // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // Local copy of Envoy xDS proto file, used for testing only. syntax = "proto3"; package envoy.type.v3; // A fractional percentage is used in cases in which for performance reasons performing floating // point to integer conversions during randomness calculations is undesirable. The message includes // both a numerator and denominator that together determine the final fractional value. // // * **Example**: 1/100 = 1%. // * **Example**: 3/10000 = 0.03%. message FractionalPercent { // Fraction percentages support several fixed denominator values. enum DenominatorType { // 100. // // **Example**: 1/100 = 1%. HUNDRED = 0; // 10,000. // // **Example**: 1/10000 = 0.01%. TEN_THOUSAND = 1; // 1,000,000. // // **Example**: 1/1000000 = 0.0001%. MILLION = 2; } // Specifies the numerator. Defaults to 0. uint32 numerator = 1; // Specifies the denominator. If the denominator specified is less than the numerator, the final // fractional percentage is capped at 1 (100%). DenominatorType denominator = 2; }
Protocol Buffer
5
arghyadip01/grpc
src/proto/grpc/testing/xds/v3/percent.proto
[ "Apache-2.0" ]
INSERT INTO users(first_name, last_name) values('Sam', 'Brannen')
SQL
2
nicchagil/spring-framework
spring-jdbc/src/test/resources/org/springframework/jdbc/datasource/init/users-data-without-separator.sql
[ "Apache-2.0" ]
/* Copyright (c) 2017-2019 Netronome Systems, Inc. All rights reserved. * * SPDX-License-Identifier: BSD-2-Clause */ ;TEST_INIT_EXEC nfp-mem i32.ctm:0x80 0x00000000 0x00000000 0xffffffff 0xffff86c1 ;TEST_INIT_EXEC nfp-mem i32.ctm:0x90 0x5ccdfc7e 0x81000190 0x08060001 0x08000604 ;TEST_INIT_EXEC nfp-mem i32.ctm:0xa0 0x000186c1 0x5ccdfc7e 0x2801042c 0x00000000 ;TEST_INIT_EXEC nfp-mem i32.ctm:0xb0 0x00002801 0x00000404 #include <aggregate.uc> #include <stdmac.uc> #include <pv.uc> .reg pkt_vec[PV_SIZE_LW] aggregate_zero(pkt_vec, PV_SIZE_LW) move(pkt_vec[0], 0x3c) move(pkt_vec[2], 0x88) move(pkt_vec[3], 0xff) move(pkt_vec[4], 0xffc0) move(pkt_vec[6], (1<<BF_L(PV_QUEUE_IN_TYPE_bf) | 0x19000))
UnrealScript
3
pcasconnetronome/nic-firmware
test/datapath/pkt_vlan_ipv4_arp_x88.uc
[ "BSD-2-Clause" ]
DROP TABLE IF EXISTS retention_test; CREATE TABLE retention_test(date Date, uid Int32)ENGINE = Memory; INSERT INTO retention_test SELECT '2018-08-06', number FROM numbers(80); INSERT INTO retention_test SELECT '2018-08-07', number FROM numbers(50); INSERT INTO retention_test SELECT '2018-08-08', number FROM numbers(60); SELECT sum(r[1]) as r1, sum(r[2]) as r2 FROM (SELECT uid, retention(date = '2018-08-06', date = '2018-08-07') AS r FROM retention_test WHERE date IN ('2018-08-06', '2018-08-07') GROUP BY uid); SELECT sum(r[1]) as r1, sum(r[2]) as r2 FROM (SELECT uid, retention(date = '2018-08-06', date = '2018-08-08') AS r FROM retention_test WHERE date IN ('2018-08-06', '2018-08-08') GROUP BY uid); SELECT sum(r[1]) as r1, sum(r[2]) as r2, sum(r[3]) as r3 FROM (SELECT uid, retention(date = '2018-08-06', date = '2018-08-07', date = '2018-08-08') AS r FROM retention_test WHERE date IN ('2018-08-06', '2018-08-07', '2018-08-08') GROUP BY uid); DROP TABLE retention_test;
SQL
3
pdv-ru/ClickHouse
tests/queries/0_stateless/00688_aggregation_retention.sql
[ "Apache-2.0" ]
// Copyright (c) 2021 Bluespec, Inc. All Rights Reserved // Author: Rishiyur S. Nikhil package AXI4L_Gate; // ================================================================ // This package defines an AXI4-M-to-AXI4-S 'gate' module, // that either allows or blocks the 5 AXI4 buses, // depending on a Bool 'enable' input. // ================================================================ // Bluespec library imports import Vector :: *; import FIFOF :: *; // ---------------- // BSV additional libs import Cur_Cycle :: *; import GetPut_Aux :: *; import Semi_FIFOF :: *; // ================================================================ // Project imports import AXI4_Lite_Types :: *; // ================================================================ // The interface for the widener module interface AXI4L_Gate_IFC #(numeric type wd_addr_t, numeric type wd_data_t, numeric type wd_user_t); // From master interface AXI4_Lite_Slave_IFC #(wd_addr_t, wd_data_t, wd_user_t) axi4L_S; // To slave interface AXI4_Lite_Master_IFC #(wd_addr_t, wd_data_t, wd_user_t) axi4L_M; // Enable control signal. Continuously driven with Bool arg. (* always_ready, always_enabled *) method Action m_enable (Bool enabled); endinterface // ================================================================ // The Gate module module mkAXI4L_Gate (AXI4L_Gate_IFC #(wd_addr_t, wd_data_t, wd_user_t)); // ---------------- // Transactor facing master AXI4_Lite_Slave_Xactor_IFC #(wd_addr_t, wd_data_t, wd_user_t) xactor_from_M <- mkAXI4_Lite_Slave_Xactor; // Transactor facing slave AXI4_Lite_Master_Xactor_IFC #(wd_addr_t, wd_data_t, wd_user_t) xactor_to_S <- mkAXI4_Lite_Master_Xactor; Reg #(Bool) rg_enabled <- mkReg (False); // ---------------------------------------------------------------- // BEHAVIOR // Each rule is basically a mkConnection controlled by 'enabled' rule rl_wr_addr (rg_enabled); let wra <- pop_o (xactor_from_M.o_wr_addr); xactor_to_S.i_wr_addr.enq (wra); endrule rule rl_wr_data (rg_enabled); let wrd <- pop_o (xactor_from_M.o_wr_data); xactor_to_S.i_wr_data.enq (wrd); endrule rule rl_wr_resp (rg_enabled); let wrr <- pop_o (xactor_to_S.o_wr_resp); xactor_from_M.i_wr_resp.enq (wrr); endrule rule rl_rd_addr (rg_enabled); let rda <- pop_o (xactor_from_M.o_rd_addr); xactor_to_S.i_rd_addr.enq (rda); endrule rule rl_rd_data (rg_enabled); let rdd <- pop_o (xactor_to_S.o_rd_data); xactor_from_M.i_rd_data.enq (rdd); endrule // ---------------------------------------------------------------- // INTERFACE interface axi4L_S = xactor_from_M.axi_side; interface axi4L_M = xactor_to_S .axi_side; method Action m_enable (Bool enabled); if (enabled && (! rg_enabled)) $display ("%0d: %m: AXI4L ENABLING", cur_cycle); else if ((! enabled) && rg_enabled) $display ("%0d: %m: AXI4L DISABLING", cur_cycle); rg_enabled <= enabled; endmethod endmodule // ================================================================ endpackage: AXI4L_Gate
Bluespec
5
bluespec/Flute
src_Testbench/Fabrics/AXI4_Lite/AXI4L_Gate.bsv
[ "Apache-2.0" ]
/* * Licensed to Crate.io GmbH ("Crate") under one or more contributor * license agreements. See the NOTICE file distributed with this work for * additional information regarding copyright ownership. Crate licenses * this file to you under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. You may * obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the * License for the specific language governing permissions and limitations * under the License. * * However, if you have executed another commercial license agreement * with Crate these terms will supersede the license and you may use the * software solely pursuant to the terms of the relevant commercial agreement. */ grammar PgArray; /** The grammar is used to parse PG array text representations. E.g.: numeric PG arrays: {10, NULL, NULL, 20, 30} {"10", NULL, NULL, "20", "30"} multi-dimentsional PG arrays: {{"10", "20"}, {"30", NULL, "40"}} json PG arrays: {"{\"x\": 10}", "{\"y\": 20}"} {\"{\\\"x\\\": 10}\", \"{\\\"y\\\": 20}\"} */ array : '{' item (',' item)* '}' | '{' '}' ; item : string | array ; string : QUOTED_STRING #quotedString | NULL #null | UNQUOTED_STRING #unquotedString ; NULL : [nN] [uU] [lL] [lL] ; QUOTED_STRING : '"' (ESC | ~["\\])* '"' ; UNQUOTED_STRING : CHAR+ (' ')* CHAR+ | CHAR+ ; fragment CHAR : ~[,"\\{} \t\n\r] ; fragment ESC : '\\' (["\\/bfnrt] | UNICODE) ; fragment UNICODE : 'u' HEX HEX HEX HEX ; fragment HEX : [0-9a-fA-F] ; WS: [ \t\n\r]+ -> skip;
ANTLR
4
autophagy/crate
libs/pgwire/src/main/antlr/PgArray.g4
[ "Apache-2.0" ]
// // MetalConvolutionActivation.metal // MNN // // Created by MNN on 2019/02/25. // Copyright © 2018, Alibaba Group Holding Limited // #include <metal_stdlib> #include "MetalDefine.metal" using namespace metal; typedef enum : int { None = 0, ReLU = 1, ReLU6 = 2, } conv_activation_type; inline ftype4 activate(ftype4 value, conv_activation_type type) { switch (type) { case ReLU: return max(value, 0); case ReLU6: return clamp(value, 0, 6); default: // None return value; } }
Metal
4
xhuan28/MNN
source/backend/metal/MetalConvolutionActivation.metal
[ "Apache-2.0" ]
package com.baeldung.exceptions.stackoverflowerror; public class AccountHolder { private String firstName; private String lastName; AccountHolder jointAccountHolder = new AccountHolder(); }
Java
1
DBatOWL/tutorials
core-java-modules/core-java-exceptions/src/main/java/com/baeldung/exceptions/stackoverflowerror/AccountHolder.java
[ "MIT" ]
21,21 24,24 26,2E 30,3B 3D,3D 41,5B 5D,5D 5F,5F 61,7A 7E,7E
Component Pascal
0
janosch-x/character_set
lib/character_set/predefined_sets/url_host.cps
[ "MIT" ]
Feature: Test lookup on edge index Examples: | where_condition | | lookup_edge_1.col1 == 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 == 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 >= 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 != 200 | | lookup_edge_1.col1 >= 201 AND lookup_edge_1.col2 == 201 | | lookup_edge_1.col1 >= 201 AND lookup_edge_1.col1 <= 201 | | lookup_edge_1.col1 != 202 AND lookup_edge_1.col2 >= 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 == 201 AND lookup_edge_1.col3 == 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 == 201 AND lookup_edge_1.col3 >= 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 == 201 AND lookup_edge_1.col3 != 200 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 >= 201 AND lookup_edge_1.col3 == 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 >= 201 AND lookup_edge_1.col3 >= 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 >= 201 AND lookup_edge_1.col3 != 200 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 != 200 AND lookup_edge_1.col3 == 201 | | lookup_edge_1.col1 >= 201 AND lookup_edge_1.col2 == 201 AND lookup_edge_1.col3 == 201 | | lookup_edge_1.col1 >= 201 AND lookup_edge_1.col2 >= 201 AND lookup_edge_1.col3 == 201 | | lookup_edge_1.col1 >= 201 AND lookup_edge_1.col2 != 200 AND lookup_edge_1.col3 == 201 | | lookup_edge_1.col1 != 200 AND lookup_edge_1.col2 != 200 AND lookup_edge_1.col3 == 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 >= 201 AND lookup_edge_1.col1 == 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 >= 201 AND lookup_edge_1.col1 >= 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 > 200 AND lookup_edge_1.col1 == 201 | | lookup_edge_1.col1 == 201 AND lookup_edge_1.col2 > 200 AND lookup_edge_1.col1 > 200 | | lookup_edge_1.col1 == 201 OR lookup_edge_1.col2 == 201 | | lookup_edge_1.col1 == 201 OR lookup_edge_1.col2 >= 203 | | lookup_edge_1.col1 == 201 OR lookup_edge_1.col3 == 201 | Scenario Outline: [edge] different condition and yield test for string vid Given an empty graph And create a space with following options: | partition_num | 9 | | replica_factor | 1 | | vid_type | fixed_string(16) | And having executed: """ CREATE EDGE lookup_edge_1(col1 int, col2 int, col3 int); CREATE EDGE INDEX e_index_1 ON lookup_edge_1(col1, col2, col3); CREATE EDGE INDEX e_index_3 ON lookup_edge_1(col2, col3); """ And wait 6 seconds And having executed: """ INSERT EDGE lookup_edge_1(col1, col2, col3) VALUES '200' -> '201'@0:(201, 201, 201), '200' -> '202'@0:(202, 202, 202) """ When executing query: """ LOOKUP ON lookup_edge_1 WHERE <where_condition> YIELD src(edge) as src, dst(edge) as dst, rank(edge) as rank """ Then the result should be, in any order: | src | dst | rank | | '200' | '201' | 0 | When executing query: """ LOOKUP ON lookup_edge_1 WHERE <where_condition> YIELD lookup_edge_1.col1 AS col1, lookup_edge_1.col2 AS col2, lookup_edge_1.col3 """ Then the result should be, in any order: | col1 | col2 | lookup_edge_1.col3 | | 201 | 201 | 201 | Then drop the used space Scenario Outline: [edge] different condition and yield test for int vid Given an empty graph And create a space with following options: | partition_num | 9 | | replica_factor | 1 | | vid_type | int64 | And having executed: """ CREATE EDGE lookup_edge_1(col1 int, col2 int, col3 int); CREATE EDGE INDEX e_index_1 ON lookup_edge_1(col1, col2, col3); CREATE EDGE INDEX e_index_3 ON lookup_edge_1(col2, col3); """ And wait 6 seconds And having executed: """ INSERT EDGE lookup_edge_1(col1, col2, col3) VALUES 200 -> 201@0:(201, 201, 201), 200 -> 202@0:(202, 202, 202) """ When executing query: """ LOOKUP ON lookup_edge_1 WHERE <where_condition> YIELD src(edge) as src, dst(edge) as dst, rank(edge) as rank """ Then the result should be, in any order: | src | dst | rank | | 200 | 201 | 0 | When executing query: """ LOOKUP ON lookup_edge_1 WHERE <where_condition> YIELD lookup_edge_1.col1 AS col1, lookup_edge_1.col2 AS col2, lookup_edge_1.col3 """ Then the result should be, in any order: | col1 | col2 | lookup_edge_1.col3 | | 201 | 201 | 201 | Then drop the used space # TODO(yee): Test bool expression
Cucumber
5
wenhaocs/nebula
tests/tck/features/lookup/LookupEdge.feature
[ "Apache-2.0" ]
/** * @file ugraphs.yap * @author R.A.O'Keefe * @author adapted to support some of the functionality of the SICStus ugraphs library by Vitor Santos Costa. * @date 20 March 1984 * * @brief * * */ % File : GRAPHS.PL % Author : R.A.O'Keefe % Updated: % Purpose: . % % % :- module(ugraphs, [ add_vertices/3, add_edges/3, complement/2, compose/3, del_edges/3, del_vertices/3, edges/2, neighbours/3, neighbors/3, reachable/3, top_sort/2, top_sort/3, transitive_closure/2, transpose/2, vertices/2, vertices_edges_to_ugraph/3, ugraph_union/3 ]). /** @defgroup ugraphs Unweighted Graphs @ingroup library @{ The following graph manipulation routines are based in code originally written by Richard O'Keefe. The code was then extended to be compatible with the SICStus Prolog ugraphs library. The routines assume directed graphs, undirected graphs may be implemented by using two edges. Graphs are represented in one of two ways: + The P-representation of a graph is a list of (from-to) vertex pairs, where the pairs can be in any old order. This form is convenient for input/output. The S-representation of a graph is a list of (vertex-neighbors) pairs, where the pairs are in standard order (as produced by keysort) and the neighbors of each vertex are also in standard order (as produced by sort). This form is convenient for many calculations. These built-ins are available once included with the `use_module(library(ugraphs))` command. */ /* The P-representation of a graph is a list of (from-to) vertex pairs, where the pairs can be in any old order. This form is convenient for input/output. The S-representation of a graph is a list of (vertex-neighbours) pairs, where the pairs are in standard order (as produced by keysort) and the neighbours of each vertex are also in standard order (as produced by sort). This form is convenient for many calculations. p_to_s_graph(Pform, Sform) converts a P- to an S- representation. s_to_p_graph(Sform, Pform) converts an S- to a P- representation. warshall(Graph, Closure) takes the transitive closure of a graph in S-form. (NB: this is not the reflexive transitive closure). s_to_p_trans(Sform, Pform) converts Sform to Pform, transposed. p_transpose transposes a graph in P-form, cost O(|E|). s_transpose transposes a graph in S-form, cost O(|V|^2). */ /** @pred vertices_edges_to_ugraph(+ _Vertices_, + _Edges_, - _Graph_) Given a graph with a set of vertices _Vertices_ and a set of edges _Edges_, _Graph_ must unify with the corresponding s-representation. Note that the vertices without edges will appear in _Vertices_ but not in _Edges_. Moreover, it is sufficient for a vertex to appear in _Edges_. ~~~~~{.prolog} ?- vertices_edges_to_ugraph([],[1-3,2-4,4-5,1-5],L). L = [1-[3,5],2-[4],3-[],4-[5],5-[]] ? ~~~~~ In this case all edges are defined implicitly. The next example shows three unconnected edges: ~~~~~{.prolog} ?- vertices_edges_to_ugraph([6,7,8],[1-3,2-4,4-5,1-5],L). L = [1-[3,5],2-[4],3-[],4-[5],5-[],6-[],7-[],8-[]] ? ~~~~~ */ /** @pred add_edges(+ _Graph_, + _Edges_, - _NewGraph_) Unify _NewGraph_ with a new graph obtained by adding the list of edges _Edges_ to the graph _Graph_. In the next example: ~~~~~{.prolog} ?- add_edges([1-[3,5],2-[4],3-[],4-[5],5-[],6-[], 7-[],8-[]],[1-6,2-3,3-2,5-7,3-2,4-5],NL). NL = [1-[3,5,6],2-[3,4],3-[2],4-[5],5-[7],6-[],7-[],8-[]] ~~~~~ */ /** @pred add_vertices(+ _Graph_, + _Vertices_, - _NewGraph_) Unify _NewGraph_ with a new graph obtained by adding the list of vertices _Vertices_ to the graph _Graph_. In the next example: ~~~~~{.prolog} ?- add_vertices([1-[3,5],2-[4],3-[],4-[5], 5-[],6-[],7-[],8-[]], [0,2,9,10,11], NG). NG = [0-[],1-[3,5],2-[4],3-[],4-[5],5-[], 6-[],7-[],8-[],9-[],10-[],11-[]] ~~~~~ */ /** @pred complement(+ _Graph_, - _NewGraph_) Unify _NewGraph_ with the graph complementary to _Graph_. In the next example: ~~~~~{.prolog} ?- complement([1-[3,5],2-[4],3-[], 4-[1,2,7,5],5-[],6-[],7-[],8-[]], NL). NL = [1-[2,4,6,7,8],2-[1,3,5,6,7,8],3-[1,2,4,5,6,7,8], 4-[3,5,6,8],5-[1,2,3,4,6,7,8],6-[1,2,3,4,5,7,8], 7-[1,2,3,4,5,6,8],8-[1,2,3,4,5,6,7]] ~~~~~ */ /** @pred compose(+ _LeftGraph_, + _RightGraph_, - _NewGraph_) Compose the graphs _LeftGraph_ and _RightGraph_ to form _NewGraph_. In the next example: ~~~~~{.prolog} ?- compose([1-[2],2-[3]],[2-[4],3-[1,2,4]],L). L = [1-[4],2-[1,2,4],3-[]] ~~~~~ */ /** @pred del_edges(+ _Graph_, + _Edges_, - _NewGraph_) Unify _NewGraph_ with a new graph obtained by removing the list of edges _Edges_ from the graph _Graph_. Notice that no vertices are deleted. In the next example: ~~~~~{.prolog} ?- del_edges([1-[3,5],2-[4],3-[],4-[5],5-[], 6-[],7-[],8-[]], [1-6,2-3,3-2,5-7,3-2,4-5,1-3],NL). NL = [1-[5],2-[4],3-[],4-[],5-[],6-[],7-[],8-[]] ~~~~~ */ /** @pred del_vertices(+ _Graph_, + _Vertices_, - _NewGraph_) Unify _NewGraph_ with a new graph obtained by deleting the list of vertices _Vertices_ and all the edges that start from or go to a vertex in _Vertices_ to the graph _Graph_. In the next example: ~~~~~{.prolog} ?- del_vertices([2,1],[1-[3,5],2-[4],3-[], 4-[5],5-[],6-[],7-[2,6],8-[]],NL). NL = [3-[],4-[5],5-[],6-[],7-[6],8-[]] ~~~~~ */ /** @pred edges(+ _Graph_, - _Edges_) Unify _Edges_ with all edges appearing in graph _Graph_. In the next example: ~~~~~{.prolog} ?- vertices([1-[3,5],2-[4],3-[],4-[5],5-[]], V). L = [1,2,3,4,5] ~~~~~ */ /** @pred neighbors(+ _Vertex_, + _Graph_, - _Vertices_) Unify _Vertices_ with the list of neighbors of vertex _Vertex_ in _Graph_. If the vertice is not in the graph fail. In the next example: ~~~~~{.prolog} ?- neighbors(4,[1-[3,5],2-[4],3-[], 4-[1,2,7,5],5-[],6-[],7-[],8-[]], NL). NL = [1,2,7,5] ~~~~~ */ /** @pred neighbours(+ _Vertex_, + _Graph_, - _Vertices_) Unify _Vertices_ with the list of neighbours of vertex _Vertex_ in _Graph_. In the next example: ~~~~~{.prolog} ?- neighbours(4,[1-[3,5],2-[4],3-[], 4-[1,2,7,5],5-[],6-[],7-[],8-[]], NL). NL = [1,2,7,5] ~~~~~ */ /** @pred reachable(+ _Node_, + _Graph_, - _Vertices_) Unify _Vertices_ with the set of all vertices in graph _Graph_ that are reachable from _Node_. In the next example: ~~~~~{.prolog} ?- reachable(1,[1-[3,5],2-[4],3-[],4-[5],5-[]],V). V = [1,3,5] ~~~~~ */ /** @pred top_sort(+ _Graph_, - _Sort0_, - _Sort_) Generate the difference list _Sort_- _Sort0_ as a topological sorting of graph _Graph_, if one is possible. */ /** @pred top_sort(+ _Graph_, - _Sort_) Generate the set of nodes _Sort_ as a topological sorting of graph _Graph_, if one is possible. In the next example we show how topological sorting works for a linear graph: ~~~~~{.prolog} ?- top_sort([_138-[_219],_219-[_139], _139-[]],L). L = [_138,_219,_139] ~~~~~ */ /** @pred transitive_closure(+ _Graph_, + _Closure_) Generate the graph _Closure_ as the transitive closure of graph _Graph_. In the next example: ~~~~~{.prolog} ?- transitive_closure([1-[2,3],2-[4,5],4-[6]],L). L = [1-[2,3,4,5,6],2-[4,5,6],4-[6]] ~~~~~ */ /** @pred vertices(+ _Graph_, - _Vertices_) Unify _Vertices_ with all vertices appearing in graph _Graph_. In the next example: ~~~~~{.prolog} ?- vertices([1-[3,5],2-[4],3-[],4-[5],5-[]], V). L = [1,2,3,4,5] ~~~~~ */ :- use_module(lists, [ append/3, member/2, memberchk/2 ]). :- use_module(ordsets, [ ord_add_element/3, ord_subtract/3, ord_union/3, ord_union/4 ]). /* :- public p_to_s_graph/2, s_to_p_graph/2, % edges s_to_p_trans/2, p_member/3, s_member/3, p_transpose/2, s_transpose/2, compose/3, top_sort/2, vertices/2, warshall/2. :- mode vertices(+, -), p_to_s_graph(+, -), p_to_s_vertices(+, -), p_to_s_group(+, +, -), p_to_s_group(+, +, -, -), s_to_p_graph(+, -), s_to_p_graph(+, +, -, -), s_to_p_trans(+, -), s_to_p_trans(+, +, -, -), p_member(?, ?, +), s_member(?, ?, +), p_transpose(+, -), s_transpose(+, -), s_transpose(+, -, ?, -), transpose_s(+, +, +, -), compose(+, +, -), compose(+, +, +, -), compose1(+, +, +, -), compose1(+, +, +, +, +, +, +, -), top_sort(+, -), vertices_and_zeros(+, -, ?), count_edges(+, +, +, -), incr_list(+, +, +, -), select_zeros(+, +, -), top_sort(+, -, +, +, +), decr_list(+, +, +, -, +, -), warshall(+, -), warshall(+, +, -), warshall(+, +, +, -). */ % vertices(S_Graph, Vertices) % strips off the neighbours lists of an S-representation to produce % a list of the vertices of the graph. (It is a characteristic of % S-representations that *every* vertex appears, even if it has no % neighbours.) vertices([], []) :- !. vertices([Vertex-_|Graph], [Vertex|Vertices]) :- vertices(Graph, Vertices). vertices_edges_to_ugraph(Vertices, Edges, Graph) :- sort(Edges, EdgeSet), p_to_s_vertices(EdgeSet, IVertexBag), append(Vertices, IVertexBag, VertexBag), sort(VertexBag, VertexSet), p_to_s_group(VertexSet, EdgeSet, Graph). add_vertices(Graph, Vertices, NewGraph) :- msort(Vertices, V1), add_vertices_to_s_graph(V1, Graph, NewGraph). add_vertices_to_s_graph(L, [], NL) :- !, add_empty_vertices(L, NL). add_vertices_to_s_graph([], L, L) :- !. add_vertices_to_s_graph([V1|VL], [V-Edges|G], NGL) :- compare(Res, V1, V), add_vertices_to_s_graph(Res, V1, VL, V, Edges, G, NGL). add_vertices_to_s_graph(=, _, VL, V, Edges, G, [V-Edges|NGL]) :- add_vertices_to_s_graph(VL, G, NGL). add_vertices_to_s_graph(<, V1, VL, V, Edges, G, [V1-[]|NGL]) :- add_vertices_to_s_graph(VL, [V-Edges|G], NGL). add_vertices_to_s_graph(>, V1, VL, V, Edges, G, [V-Edges|NGL]) :- add_vertices_to_s_graph([V1|VL], G, NGL). add_empty_vertices([], []). add_empty_vertices([V|G], [V-[]|NG]) :- add_empty_vertices(G, NG). % % unmark a set of vertices plus all edges leading to them. % del_vertices(Graph, Vertices, NewGraph) :- msort(Vertices, V1), (V1 = [] -> Graph = NewGraph ; del_vertices(Graph, V1, V1, NewGraph) ). del_vertices(G, [], V1, NG) :- !, del_remaining_edges_for_vertices(G, V1, NG). del_vertices([], _, _, []). del_vertices([V-Edges|G], [V0|Vs], V1, NG) :- compare(Res, V, V0), split_on_del_vertices(Res, V,Edges, [V0|Vs], NVs, V1, NG, NGr), del_vertices(G, NVs, V1, NGr). del_remaining_edges_for_vertices([], _, []). del_remaining_edges_for_vertices([V0-Edges|G], V1, [V0-NEdges|NG]) :- ord_subtract(Edges, V1, NEdges), del_remaining_edges_for_vertices(G, V1, NG). split_on_del_vertices(<, V, Edges, Vs, Vs, V1, [V-NEdges|NG], NG) :- ord_subtract(Edges, V1, NEdges). split_on_del_vertices(>, V, Edges, [_|Vs], Vs, V1, [V-NEdges|NG], NG) :- ord_subtract(Edges, V1, NEdges). split_on_del_vertices(=, _, _, [_|Vs], Vs, _, NG, NG). add_edges(Graph, Edges, NewGraph) :- p_to_s_graph(Edges, G1), graph_union(Graph, G1, NewGraph). % graph_union(+Set1, +Set2, ?Union) % is true when Union is the union of Set1 and Set2. This code is a copy % of set union graph_union(Set1, [], Set1) :- !. graph_union([], Set2, Set2) :- !. graph_union([Head1-E1|Tail1], [Head2-E2|Tail2], Union) :- compare(Order, Head1, Head2), graph_union(Order, Head1-E1, Tail1, Head2-E2, Tail2, Union). graph_union(=, Head-E1, Tail1, _-E2, Tail2, [Head-Es|Union]) :- ord_union(E1, E2, Es), graph_union(Tail1, Tail2, Union). graph_union(<, Head1, Tail1, Head2, Tail2, [Head1|Union]) :- graph_union(Tail1, [Head2|Tail2], Union). graph_union(>, Head1, Tail1, Head2, Tail2, [Head2|Union]) :- graph_union([Head1|Tail1], Tail2, Union). del_edges(Graph, Edges, NewGraph) :- p_to_s_graph(Edges, G1), graph_subtract(Graph, G1, NewGraph). % graph_subtract(+Set1, +Set2, ?Difference) % is based on ord_subtract % graph_subtract(Set1, [], Set1) :- !. graph_subtract([], _, []). graph_subtract([Head1-E1|Tail1], [Head2-E2|Tail2], Difference) :- compare(Order, Head1, Head2), graph_subtract(Order, Head1-E1, Tail1, Head2-E2, Tail2, Difference). graph_subtract(=, H-E1, Tail1, _-E2, Tail2, [H-E|Difference]) :- ord_subtract(E1,E2,E), graph_subtract(Tail1, Tail2, Difference). graph_subtract(<, Head1, Tail1, Head2, Tail2, [Head1|Difference]) :- graph_subtract(Tail1, [Head2|Tail2], Difference). graph_subtract(>, Head1, Tail1, _, Tail2, Difference) :- graph_subtract([Head1|Tail1], Tail2, Difference). edges(Graph, Edges) :- s_to_p_graph(Graph, Edges). p_to_s_graph(P_Graph, S_Graph) :- sort(P_Graph, EdgeSet), p_to_s_vertices(EdgeSet, VertexBag), sort(VertexBag, VertexSet), p_to_s_group(VertexSet, EdgeSet, S_Graph). p_to_s_vertices([], []). p_to_s_vertices([A-Z|Edges], [A,Z|Vertices]) :- p_to_s_vertices(Edges, Vertices). p_to_s_group([], _, []). p_to_s_group([Vertex|Vertices], EdgeSet, [Vertex-Neibs|G]) :- p_to_s_group(EdgeSet, Vertex, Neibs, RestEdges), p_to_s_group(Vertices, RestEdges, G). p_to_s_group([V1-X|Edges], V2, [X|Neibs], RestEdges) :- V1 == V2, !, p_to_s_group(Edges, V2, Neibs, RestEdges). p_to_s_group(Edges, _, [], Edges). s_to_p_graph([], []) :- !. s_to_p_graph([Vertex-Neibs|G], P_Graph) :- s_to_p_graph(Neibs, Vertex, P_Graph, Rest_P_Graph), s_to_p_graph(G, Rest_P_Graph). s_to_p_graph([], _, P_Graph, P_Graph) :- !. s_to_p_graph([Neib|Neibs], Vertex, [Vertex-Neib|P], Rest_P) :- s_to_p_graph(Neibs, Vertex, P, Rest_P). s_to_p_trans([], []) :- !. s_to_p_trans([Vertex-Neibs|G], P_Graph) :- s_to_p_trans(Neibs, Vertex, P_Graph, Rest_P_Graph), s_to_p_trans(G, Rest_P_Graph). s_to_p_trans([], _, P_Graph, P_Graph) :- !. s_to_p_trans([Neib|Neibs], Vertex, [Neib-Vertex|P], Rest_P) :- s_to_p_trans(Neibs, Vertex, P, Rest_P). transitive_closure(Graph, Closure) :- warshall(Graph, Graph, Closure). warshall(Graph, Closure) :- warshall(Graph, Graph, Closure). warshall([], Closure, Closure) :- !. warshall([V-_|G], E, Closure) :- memberchk(V-Y, E), % Y := E(v) warshall(E, V, Y, NewE), warshall(G, NewE, Closure). warshall([X-Neibs|G], V, Y, [X-NewNeibs|NewG]) :- memberchk(V, Neibs), !, ord_union(Neibs, Y, NewNeibs), warshall(G, V, Y, NewG). warshall([X-Neibs|G], V, Y, [X-Neibs|NewG]) :- !, warshall(G, V, Y, NewG). warshall([], _, _, []). p_transpose([], []) :- !. p_transpose([From-To|Edges], [To-From|Transpose]) :- p_transpose(Edges, Transpose). /** @pred transpose(+ _Graph_, - _NewGraph_) Unify _NewGraph_ with a new graph obtained from _Graph_ by replacing all edges of the form _V1-V2_ by edges of the form _V2-V1_. The cost is `O(|V|^2)`. In the next example: ~~~~~{.prolog} ?- transpose([1-[3,5],2-[4],3-[], 4-[5],5-[],6-[],7-[],8-[]], NL). NL = [1-[],2-[],3-[1],4-[2],5-[1,4],6-[],7-[],8-[]] ~~~~~ Notice that an undirected graph is its own transpose. */ transpose(S_Graph, Transpose) :- s_transpose(S_Graph, Base, Base, Transpose). s_transpose(S_Graph, Transpose) :- s_transpose(S_Graph, Base, Base, Transpose). s_transpose([], [], Base, Base) :- !. s_transpose([Vertex-Neibs|Graph], [Vertex-[]|RestBase], Base, Transpose) :- s_transpose(Graph, RestBase, Base, SoFar), transpose_s(SoFar, Neibs, Vertex, Transpose). transpose_s([Neib-Trans|SoFar], [Neib|Neibs], Vertex, [Neib-[Vertex|Trans]|Transpose]) :- !, transpose_s(SoFar, Neibs, Vertex, Transpose). transpose_s([Head|SoFar], Neibs, Vertex, [Head|Transpose]) :- !, transpose_s(SoFar, Neibs, Vertex, Transpose). transpose_s([], [], _, []). % p_member(X, Y, P_Graph) % tests whether the edge (X,Y) occurs in the graph. This always % costs O(|E|) time. Here, as in all the operations in this file, % vertex labels are assumed to be ground terms, or at least to be % sufficiently instantiated that no two of them have a common instance. p_member(X, Y, P_Graph) :- nonvar(X), nonvar(Y), !, memberchk(X-Y, P_Graph). p_member(X, Y, P_Graph) :- member(X-Y, P_Graph). % s_member(X, Y, S_Graph) % tests whether the edge (X,Y) occurs in the graph. If either % X or Y is instantiated, the check is order |V| rather than % order |E|. s_member(X, Y, S_Graph) :- var(X), var(Y), !, member(X-Neibs, S_Graph), member(Y, Neibs). s_member(X, Y, S_Graph) :- var(X), !, member(X-Neibs, S_Graph), memberchk(Y, Neibs). s_member(X, Y, S_Graph) :- var(Y), !, memberchk(X-Neibs, S_Graph), member(Y, Neibs). s_member(X, Y, S_Graph) :- memberchk(X-Neibs, S_Graph), memberchk(Y, Neibs). % compose(G1, G2, Composition) % calculates the composition of two S-form graphs, which need not % have the same set of vertices. compose(G1, G2, Composition) :- vertices(G1, V1), vertices(G2, V2), ord_union(V1, V2, V), compose(V, G1, G2, Composition). compose([], _, _, []) :- !. compose([Vertex|Vertices], [Vertex-Neibs|G1], G2, [Vertex-Comp|Composition]) :- !, compose1(Neibs, G2, [], Comp), compose(Vertices, G1, G2, Composition). compose([Vertex|Vertices], G1, G2, [Vertex-[]|Composition]) :- compose(Vertices, G1, G2, Composition). compose1([V1|Vs1], [V2-N2|G2], SoFar, Comp) :- compare(Rel, V1, V2), !, compose1(Rel, V1, Vs1, V2, N2, G2, SoFar, Comp). compose1(_, _, Comp, Comp). compose1(<, _, Vs1, V2, N2, G2, SoFar, Comp) :- !, compose1(Vs1, [V2-N2|G2], SoFar, Comp). compose1(>, V1, Vs1, _, _, G2, SoFar, Comp) :- !, compose1([V1|Vs1], G2, SoFar, Comp). compose1(=, V1, Vs1, V1, N2, G2, SoFar, Comp) :- ord_union(N2, SoFar, Next), compose1(Vs1, G2, Next, Comp). /* NOT USED AFTER ALL % raakau(Vertices, InitialValue, Tree) % takes an *ordered* list of verticies and an initial value, and % makes a very special sort of tree out of them, which represents % a function sending each vertex to the initial value. Note that % in the third clause for raakau/6 Z can never be 0, this means % that it doesn't matter *what* "greatest member" is reported for % empty trees. raakau(Vertices, InitialValue, Tree) :- length(Vertices, N), raakau(N, Vertices, _, _, InitialValue, Tree). raakau(0, Vs, Vs, 0, I, t) :- !. raakau(1, [V|Vs], Vs, V, I, t(V,I)) :- !. raakau(N, Vi, Vo, W, I, t(V,W,I,L,R)) :- A is (N-1)/2, Z is (N-1)-A, % Z >= 1 raakau(A, Vi, [V|Vm], _, I, L), raakau(Z, Vm, Vo, W, I, R). % incdec(OldTree, Labels, Incr, NewTree) % adds Incr to the value associated with each element of Labels % in OldTree, producing a new tree. OldTree must have been produced % either by raakau or by incdec, Labels must be in ascedning order, % and must be a subset of the labels of the tree. incdec(OldTree, Labels, Incr, NewTree) :- incdec(OldTree, NewTree, Labels, _, Incr). incdec(t(V,M), t(V,N), [V|L], L, I) :- !, N is M+I. incdec(t(V,W,M,L1,R1), t(V,W,N,L2,R2), Li, Lo, I) :- ( Li = [Hi|_], Hi @< V, !, incdec(L1, L2, Li, Lm, I) ; L2 = L1, Lm = Li ), ( Lm = [V|Lr], !, N is M+I ; Lr = Lm, N = M ), ( Lr = [Hr|_], Hr @=< W, !, incdec(R1, R2, Lr, Lo, I) ; R2 = R1, Lo = Lr ). END UNUSED CODE */ top_sort(Graph, Sorted) :- vertices_and_zeros(Graph, Vertices, Counts0), count_edges(Graph, Vertices, Counts0, Counts1), select_zeros(Counts1, Vertices, Zeros), top_sort(Zeros, Sorted, Graph, Vertices, Counts1). top_sort(Graph, Sorted0, Sorted) :- vertices_and_zeros(Graph, Vertices, Counts0), count_edges(Graph, Vertices, Counts0, Counts1), select_zeros(Counts1, Vertices, Zeros), top_sort(Zeros, Sorted, Sorted0, Graph, Vertices, Counts1). vertices_and_zeros([], [], []) :- !. vertices_and_zeros([Vertex-_|Graph], [Vertex|Vertices], [0|Zeros]) :- vertices_and_zeros(Graph, Vertices, Zeros). count_edges([], _, Counts, Counts) :- !. count_edges([_-Neibs|Graph], Vertices, Counts0, Counts2) :- incr_list(Neibs, Vertices, Counts0, Counts1), count_edges(Graph, Vertices, Counts1, Counts2). incr_list([], _, Counts, Counts) :- !. incr_list([V1|Neibs], [V2|Vertices], [M|Counts0], [N|Counts1]) :- V1 == V2, !, N is M+1, incr_list(Neibs, Vertices, Counts0, Counts1). incr_list(Neibs, [_|Vertices], [N|Counts0], [N|Counts1]) :- incr_list(Neibs, Vertices, Counts0, Counts1). select_zeros([], [], []) :- !. select_zeros([0|Counts], [Vertex|Vertices], [Vertex|Zeros]) :- !, select_zeros(Counts, Vertices, Zeros). select_zeros([_|Counts], [_|Vertices], Zeros) :- select_zeros(Counts, Vertices, Zeros). top_sort([], [], Graph, _, Counts) :- !, vertices_and_zeros(Graph, _, Counts). top_sort([Zero|Zeros], [Zero|Sorted], Graph, Vertices, Counts1) :- graph_memberchk(Zero-Neibs, Graph), decr_list(Neibs, Vertices, Counts1, Counts2, Zeros, NewZeros), top_sort(NewZeros, Sorted, Graph, Vertices, Counts2). top_sort([], Sorted0, Sorted0, Graph, _, Counts) :- !, vertices_and_zeros(Graph, _, Counts). top_sort([Zero|Zeros], [Zero|Sorted], Sorted0, Graph, Vertices, Counts1) :- graph_memberchk(Zero-Neibs, Graph), decr_list(Neibs, Vertices, Counts1, Counts2, Zeros, NewZeros), top_sort(NewZeros, Sorted, Sorted0, Graph, Vertices, Counts2). graph_memberchk(Element1-Edges, [Element2-Edges2|_]) :- Element1 == Element2, !, Edges = Edges2. graph_memberchk(Element, [_|Rest]) :- graph_memberchk(Element, Rest). decr_list([], _, Counts, Counts, Zeros, Zeros) :- !. decr_list([V1|Neibs], [V2|Vertices], [1|Counts1], [0|Counts2], Zi, Zo) :- V1 == V2, !, decr_list(Neibs, Vertices, Counts1, Counts2, [V2|Zi], Zo). decr_list([V1|Neibs], [V2|Vertices], [N|Counts1], [M|Counts2], Zi, Zo) :- V1 == V2, !, M is N-1, decr_list(Neibs, Vertices, Counts1, Counts2, Zi, Zo). decr_list(Neibs, [_|Vertices], [N|Counts1], [N|Counts2], Zi, Zo) :- decr_list(Neibs, Vertices, Counts1, Counts2, Zi, Zo). neighbors(V,[V0-Neig|_],Neig) :- V == V0, !. neighbors(V,[_|G],Neig) :- neighbors(V,G,Neig). neighbours(V,[V0-Neig|_],Neig) :- V == V0, !. neighbours(V,[_|G],Neig) :- neighbours(V,G,Neig). % % Simple two-step algorithm. You could be smarter, I suppose. % complement(G, NG) :- vertices(G,Vs), complement(G,Vs,NG). complement([], _, []). complement([V-Ns|G], Vs, [V-INs|NG]) :- ord_add_element(Ns,V,Ns1), ord_subtract(Vs,Ns1,INs), complement(G, Vs, NG). reachable(N, G, Rs) :- reachable([N], G, [N], Rs). reachable([], _, Rs, Rs). reachable([N|Ns], G, Rs0, RsF) :- neighbours(N, G, Nei), ord_union(Rs0, Nei, Rs1, D), append(Ns, D, Nsi), reachable(Nsi, G, Rs1, RsF). %% ugraph_union(+Set1, +Set2, ?Union) % % Is true when Union is the union of Set1 and Set2. This code is a % copy of set union ugraph_union(Set1, [], Set1) :- !. ugraph_union([], Set2, Set2) :- !. ugraph_union([Head1-E1|Tail1], [Head2-E2|Tail2], Union) :- compare(Order, Head1, Head2), ugraph_union(Order, Head1-E1, Tail1, Head2-E2, Tail2, Union). ugraph_union(=, Head-E1, Tail1, _-E2, Tail2, [Head-Es|Union]) :- ord_union(E1, E2, Es), ugraph_union(Tail1, Tail2, Union). ugraph_union(<, Head1, Tail1, Head2, Tail2, [Head1|Union]) :- ugraph_union(Tail1, [Head2|Tail2], Union). ugraph_union(>, Head1, Tail1, Head2, Tail2, [Head2|Union]) :- ugraph_union([Head1|Tail1], Tail2, Union).
Logtalk
5
PaulBrownMagic/logtalk3
library/graphs/ugraphs.lgt
[ "Apache-2.0" ]
' Module monkey.monkey ' ' Placed into the public domain 24/02/2011. ' No warranty implied; use at your own risk. Import lang Import boxes Import list Import map Import math Import random Import set Import stack Import deque Import monkeytarget
Monkey
1
Regal-Internet-Brothers/webcc-monkey
webcc.data/modules/monkey/monkey.monkey
[ "Zlib" ]