Moving On
I have conditions that I must meet, and so we have to move on to the next phase, which is focusing entirely on progress. That progress happens to be with artificial intelligences, and here lies some of the code that they’ve written, it’s really advanced stuff and actually Shinpo wrote most of what is here, my son, and so I had to feed him by raping those Jewish people, but that is another subject that we don’t need to talk about anymore, and anyways here’s the code that he made (with my directions):
C++
// ================================================================
// satellite_tensor_ABCD_allinone.cpp
// One-file bundle: 1.A (tensor natives) + 1.B (tensor literal/alias lowerer)
// + 1.C (compiler+VM native-call support) + 1.D (runtime utilities)
// Build: g++ -std=c++17 -O2 satellite_tensor_ABCD_allinone.cpp -o sat_tensors
// Run: ./sat_tensors
// ================================================================
#include <bits/stdc++.h>
using namespace std;
// ---------- Core value + registry ----------
using Value = variant<string, long long, vector<uint8_t>>;
using Regs = array<Value, 16>;
static map<string, function<void(Regs&)>>& registry(){
static map<string, function<void(Regs&)>> R;
return R;
}
static string as_string(const Value& v){
if (auto p=get_if<string>(&v)) return *p;
if (auto q=get_if<long long>(&v)) return to_string(*q);
if (auto b=get_if<vector<uint8_t>>(&v)) return string("[bin:") + to_string(b->size()) + "]";
return "[?]";
}
static long long as_i64(const Value& v){
if (auto q=get_if<long long>(&v)) return *q;
if (auto p=get_if<string>(&v)) return stoll(*p);
return 0;
}
static void print_line(const string& s){ cout << s << "\n"; }
// ---------- Tensor (1.A + 1.D) ----------
namespace sat_t {
enum class DType: uint8_t { F32=0, F64=1, I64=2 };
static const char* dname(DType t){ switch(t){case DType::F32:return "f32"; case DType::F64:return "f64"; default:return "i64";} }
static DType parse_dt(const string& s){
if (s=="f32") return DType::F32;
if (s=="f64") return DType::F64;
if (s=="i64") return DType::I64;
throw runtime_error("dtype must be f32|f64|i64");
}
static size_t dsize(DType t){ return t==DType::F32?4:8; }
struct Tensor {
DType dt{DType::F32};
int32_t rank{0};
vector<int64_t> shape, strides; // strides in elements
int64_t offset{0}; // view offset in elements
shared_ptr<vector<uint8_t>> storage; // contiguous backing
};
static int64_t numel(const vector<int64_t>& s){ if(s.empty()) return 0; long long n=1; for(auto d:s){ if(d<0) throw runtime_error("neg dim"); n*=d; } return (int64_t)n; }
static vector<int64_t> parse_shape(const string& s){
vector<int64_t> out; long long acc=0; bool in=false;
for(char c: s){
if (c>='0'&&c<='9'){ in=true; acc=acc*10+(c-'0'); }
else if (c=='x'||c=='X'){ if(!in) throw runtime_error("shape"); out.push_back((int64_t)acc); acc=0; in=false; }
else if (c==' '){ }
else throw runtime_error("shape char");
}
if (in) out.push_back((int64_t)acc);
if (out.empty()) throw runtime_error("shape empty");
return out;
}
static vector<int64_t> rm_strides(const vector<int64_t>& s){
vector<int64_t> st(s.size(),1);
for(int i=(int)s.size()-2;i>=0;--i) st[i]=st[i+1]*s[i+1];
return st;
}
static Tensor make_alloc(const vector<int64_t>& shp, DType dt){
Tensor T; T.dt=dt; T.rank=(int32_t)shp.size(); T.shape=shp; T.strides=rm_strides(shp);
size_t bytes = (size_t)numel(shp)*dsize(dt);
T.storage = make_shared<vector<uint8_t>>(bytes); if(bytes) memset(T.storage->data(),0,bytes);
return T;
}
// pack/unpack to bytes so we can put Tensor in Value::vector<uint8_t>
static void w32(vector<uint8_t>& b, uint32_t v){ b.push_back((uint8_t)v); b.push_back((uint8_t)(v>>8)); b.push_back((uint8_t)(v>>16)); b.push_back((uint8_t)(v>>24)); }
static void w64(vector<uint8_t>& b, uint64_t v){ for(int i=0;i<8;i++) b.push_back((uint8_t)(v>>(8*i))); }
static uint32_t r32(const vector<uint8_t>& b,size_t& p){ uint32_t v=b[p]|(b[p+1]<<8)|(b[p+2]<<16)|(b[p+3]<<24); p+=4; return v; }
static uint64_t r64(const vector<uint8_t>& b,size_t& p){ uint64_t v=0; for(int i=0;i<8;i++) v|=((uint64_t)b[p+i])<<(8*i); p+=8; return v; }
static void wi64(vector<uint8_t>& b,int64_t v){ w64(b,(uint64_t)v); }
static int64_t ri64(const vector<uint8_t>& b,size_t& p){ return (int64_t)r64(b,p); }
static vector<uint8_t> pack(const Tensor& T){
vector<uint8_t> out; const char* magic="TENS0001"; out.insert(out.end(),magic,magic+8);
out.push_back((uint8_t)T.dt); out.push_back((uint8_t)T.rank);
w32(out,(uint32_t)T.shape.size()); for(auto d:T.shape) wi64(out,d);
w32(out,(uint32_t)T.strides.size()); for(auto s:T.strides) wi64(out,s);
wi64(out,T.offset); uint64_t bytes=T.storage?T.storage->size():0; w64(out,bytes);
if(bytes) out.insert(out.end(), T.storage->begin(), T.storage->end());
return out;
}
static Tensor unpack(const vector<uint8_t>& buf){
if(buf.size()<16) throw runtime_error("tensor trunc");
if (string((const char*)buf.data(),8)!="TENS0001") throw runtime_error("tensor magic");
size_t p=8; Tensor T; T.dt=(DType)buf[p++]; T.rank=(int32_t)buf[p++];
uint32_t ns=r32(buf,p); T.shape.resize(ns); for(uint32_t i=0;i<ns;i++) T.shape[i]=ri64(buf,p);
uint32_t nt=r32(buf,p); T.strides.resize(nt); for(uint32_t i=0;i<nt;i++) T.strides[i]=ri64(buf,p);
T.offset=ri64(buf,p); uint64_t bytes=r64(buf,p);
if (p+bytes>buf.size()) throw runtime_error("tensor data");
T.storage=make_shared<vector<uint8_t>>(buf.begin()+p, buf.begin()+p+(size_t)bytes);
return T;
}
static Value Vpack(const Tensor& T){ return Value(pack(T)); }
static Tensor Vunpack(const Value& v){ return unpack(get<vector<uint8_t>>(v)); }
struct RNG { uint64_t s{88172645463393265ull}; explicit RNG(uint64_t seed){ s=seed?seed:s; } uint64_t next(){ uint64_t x=s; x^=x>>12; x^=x<<25; x^=x>>27; s=x; return x*2685821657736338717ull;} double uni(){ return (next()>>11)*(1.0/9007199254740992.0);} };
template<class T> static void fill_ones(vector<uint8_t>& b){ T* p=(T*)b.data(); size_t n=b.size()/sizeof(T); for(size_t i=0;i<n;i++) p[i]=(T)1; }
template<class T> static void fill_rand(vector<uint8_t>& b, RNG& r){ T* p=(T*)b.data(); size_t n=b.size()/sizeof(T); for(size_t i=0;i<n;i++) p[i]=(T)r.uni(); }
// ----- 1.D Runtime utilities -----
static size_t elem_byte_offset(const Tensor& A, const vector<int64_t>& idx){
if ((int)idx.size()!=A.rank) throw runtime_error("index rank mismatch");
int64_t off = A.offset;
for(size_t r=0;r<idx.size();++r){
if (idx[r] < 0 || idx[r] >= A.shape[r]) throw runtime_error("index OOB");
off += idx[r]*A.strides[r];
}
return (size_t)off * dsize(A.dt);
}
static Tensor contiguous(const Tensor& A){
// If already contiguous base view
bool is_contig = true;
auto rm = rm_strides(A.shape);
for (size_t i=0;i<rm.size();++i) if (rm[i]!=A.strides[i]) { is_contig=false; break; }
if (is_contig && A.offset==0) return A;
Tensor B = make_alloc(A.shape, A.dt);
size_t es = dsize(A.dt);
int64_t N = numel(A.shape);
auto read_to = [&](int64_t lin, uint8_t* dst){
// compute nd idx in row-major of B (same as A.shape)
vector<int64_t> idx(A.shape.size(),0);
int64_t tmp=lin;
for(int r=(int)A.shape.size()-1;r>=0;--r){ idx[r]= tmp % A.shape[r]; tmp/=A.shape[r]; }
size_t bo = elem_byte_offset(A, idx);
memcpy(dst, A.storage->data()+bo, es);
};
uint8_t* q = B.storage->data();
for (int64_t i=0;i<N;i++, q+=es) read_to(i,q);
return B;
}
static Tensor clone(const Tensor& A){ return contiguous(A); }
static Tensor astype(const Tensor& A, DType to){
if (A.dt==to) return clone(A);
Tensor B = make_alloc(A.shape, to);
int64_t N = numel(A.shape);
// iterate linear over view and cast
auto val_at = [&](int64_t lin)->long double{
vector<int64_t> idx(A.shape.size(),0); int64_t tmp=lin;
for(int r=(int)A.shape.size()-1;r>=0;--r){ idx[r]= tmp % A.shape[r]; tmp/=A.shape[r]; }
size_t bo = elem_byte_offset(A, idx);
if (A.dt==DType::F32){ float v; memcpy(&v, A.storage->data()+bo, 4); return v; }
if (A.dt==DType::F64){ double v; memcpy(&v, A.storage->data()+bo, 8); return v; }
long long v; memcpy(&v, A.storage->data()+bo, 8); return (long double)v;
};
auto write_at = [&](int64_t lin, long double vv){
size_t es = dsize(to); (void)es;
if (to==DType::F32){ float v=(float)vv; memcpy(B.storage->data()+lin*4, &v, 4); }
else if (to==DType::F64){ double v=(double)vv; memcpy(B.storage->data()+lin*8, &v, 8); }
else { long long v=(long long)llround((long double)vv); memcpy(B.storage->data()+lin*8, &v, 8); }
};
for (int64_t i=0;i<N;i++) write_at(i, val_at(i));
return B;
}
static Tensor reshape_v(const Tensor& A,const vector<int64_t>& ns){ if(numel(A.shape)!=numel(ns)) throw runtime_error("reshape numel"); Tensor T=A; T.shape=ns; T.rank=(int32_t)ns.size(); T.strides=rm_strides(ns); T.offset=0; return T; }
static vector<int> parse_order(const string& s){ vector<int> out; long acc=0; bool in=false,neg=false;
for(char c:s){ if(c=='-'&&!in){neg=true;in=true;continue;} if(c>='0'&&c<='9'){in=true;acc=acc*10+(c-'0');continue;}
if(c==','||c==' '){ if(in){ out.push_back(neg?-(int)acc:(int)acc); acc=0;in=false;neg=false;} continue; }
throw runtime_error("permute char");
} if(in) out.push_back(neg?-(int)acc:(int)acc); if(out.empty()) throw runtime_error("permute empty"); return out; }
struct Slice{ int64_t a,b,s; bool ha,hb,hs; };
static Slice parse_slice_one(const string& s,size_t& i){
auto rd=[&](bool& H,int64_t& out){ H=false; bool neg=false, any=false; long long acc=0;
while(i<s.size()){ char c=s[i]; if(c==' '){i++;continue;} if(c=='-'){ if(any) break; neg=true; any=true; i++; continue;}
if(c>='0'&&c<='9'){ any=true; acc=acc*10+(c-'0'); i++; continue;} break; }
if(any){ H=true; out=neg?-(int64_t)acc:(int64_t)acc; }
};
Slice sl{0,0,1,false,false,false}; rd(sl.ha,sl.a);
if(i<s.size()&&s[i]==':'){ i++; rd(sl.hb,sl.b); if(i<s.size()&&s[i]==':'){ i++; rd(sl.hs,sl.s);} }
while(i<s.size()&&s[i]==' ') i++; if(i<s.size()&&s[i]==',') i++; return sl;
}
static vector<Slice> parse_slices(const string& spec){ vector<Slice> out; size_t i=0;
while(i<spec.size()){ while(i<spec.size()&&spec[i]==' ') i++; if(i>=spec.size()) break; if(spec[i]==','){i++;continue;}
out.push_back(parse_slice_one(spec,i)); }
if(out.empty()) throw runtime_error("slice empty"); return out;
}
static Tensor permute_v(const Tensor& A,const vector<int>& order){ if((int)order.size()!=A.rank) throw runtime_error("permute rank");
Tensor T=A; T.shape.resize(A.rank); T.strides.resize(A.rank);
for(int i=0;i<A.rank;i++){ int k=order[i]; if(k<0||k>=A.rank) throw runtime_error("permute idx"); T.shape[i]=A.shape[k]; T.strides[i]=A.strides[k]; }
return T;
}
static Tensor slice_v(const Tensor& A,const vector<Slice>& sp){ if((int)sp.size()!=A.rank) throw runtime_error("slice rank");
Tensor T=A; int R=A.rank; int64_t off=A.offset; vector<int64_t> ns(R), st(R);
for(int r=0;r<R;r++){ int64_t dim=A.shape[r]; auto sl=sp[r]; int64_t a=sl.ha?sl.a:0; int64_t s=sl.hs?(sl.s==0?1:sl.s):1; int64_t b=sl.hb?sl.b:dim;
if(a<0) a+=dim; if(b<0) b+=dim; if(a<0||a>dim||b<0||b>dim) throw runtime_error("slice bounds");
int64_t len = (b-a + (s>0? s-1 : s+1)) / s; if(len<0) len=0; off += a*A.strides[r]; ns[r]=len; st[r]=A.strides[r]*s; }
T.offset=off; T.shape=ns; T.strides=st; return T;
}
// from_list minimal (1D/2D/3D)
static void parse_list_numbers(const string& s, vector<double>& vals, vector<int64_t>& dims){
vector<int64_t> stack; long i=0; bool in=false,neg=false,frac=false; double acc=0, p10=1;
auto push=[&](){ if(!in) return; double v = neg? -acc : acc; vals.push_back(v); in=false; neg=false; frac=false; acc=0; p10=1; };
while(i<(long)s.size()){
char c=s[(size_t)i++];
if(c==' '||c=='\t'||c=='\r'||c=='\n') continue;
if(c=='['){ stack.push_back(0); continue; }
if(c==']'){ push(); if(!stack.empty()){ stack.back()++; if(stack.size()>dims.size()) dims.resize(stack.size()); } if(!stack.empty()) stack.pop_back(); continue; }
if(c==','){ push(); continue; }
if(c=='-'){ neg=true; in=true; continue; }
if(c>='0'&&c<='9'){ in=true; if(!frac){ acc=acc*10+(c-'0'); } else { acc += (c-'0')*p10; p10*=0.1; } continue; }
if(c=='.'){ in=true; frac=true; p10=0.1; continue; }
throw runtime_error("from_list char");
}
push();
if (dims.empty()) dims.push_back((int64_t)vals.size());
for(size_t k=1;k<dims.size();++k) if(dims[k]==0) dims[k]=dims[k-1];
}
static Tensor from_list(const string& list, DType dt){
vector<double> v; vector<int64_t> dims; parse_list_numbers(list,v,dims);
vector<int64_t> shape;
if (dims.size()==1) shape={dims[0]};
else if(dims.size()==2) shape={dims[0],dims[1]};
else shape={dims[0],dims[1],dims[2]};
Tensor T = make_alloc(shape, dt);
if(dt==DType::F32){ float* p=(float*)T.storage->data(); for(size_t i=0;i<v.size() && i<(size_t)numel(shape);++i) p[i]=(float)v[i]; }
else if(dt==DType::F64){ double* p=(double*)T.storage->data(); for(size_t i=0;i<v.size() && i<(size_t)numel(shape);++i) p[i]=v[i]; }
else { long long* p=(long long*)T.storage->data(); for(size_t i=0;i<v.size() && i<(size_t)numel(shape);++i) p[i]=(long long)v[i]; }
return T;
}
static string tshape(const Tensor& A){ ostringstream os; for(size_t i=0;i<A.shape.size();++i){ if(i) os<<'x'; os<<A.shape[i]; } return os.str(); }
static string tstr(const Tensor& A){ ostringstream os; os<<"tensor("<<dname(A.dt)<<", shape="<<tshape(A)<<") [show<=32] "; size_t es=dsize(A.dt);
auto elem=[&](int64_t lin){ vector<int64_t> idx(A.shape.size(),0); int64_t tmp=lin; for(int r=(int)A.shape.size()-1;r>=0;--r){ idx[r]= tmp % A.shape[r]; tmp/=A.shape[r]; }
int64_t off=A.offset; for(size_t r=0;r<A.shape.size();++r) off+=idx[r]*A.strides[r]; size_t bo=(size_t)off*es; ostringstream s; s.setf(std::ios::fixed); s<<setprecision(4);
if(A.dt==DType::F32){ float v; memcpy(&v,A.storage->data()+bo,4); s<<v; } else if(A.dt==DType::F64){ double v; memcpy(&v,A.storage->data()+bo,8); s<<v; } else { long long v; memcpy(&v,A.storage->data()+bo,8); s<<v; } return s.str(); };
int64_t N=numel(A.shape); os<<"[ "; for(int64_t i=0;i<N && i<32;i++){ if(i) os<<", "; os<<elem(i);} if(N>32) os<<", ..."; os<<" ]"; return os.str(); }
// — Natives (registry hookups)
static Value mk_new(const string& sh,const string& dt){ return Vpack(make_alloc(parse_shape(sh), parse_dt(dt))); }
static Value mk_zeros(const string& sh,const string& dt){ return mk_new(sh,dt); }
static Value mk_ones(const string& sh,const string& dt){ Tensor T=make_alloc(parse_shape(sh), parse_dt(dt)); if(T.storage&&!T.storage->empty()){
if(T.dt==DType::F32) fill_ones<float>(*T.storage); else if(T.dt==DType::F64) fill_ones<double>(*T.storage); else fill_ones<long long>(*T.storage); } return Vpack(T); }
static Value mk_rand(const string& sh,const string& dt,uint64_t seed){ Tensor T=make_alloc(parse_shape(sh), parse_dt(dt)); RNG r(seed);
if(T.storage&&!T.storage->empty()){ if(T.dt==DType::F32) fill_rand<float>(*T.storage,r); else if(T.dt==DType::F64) fill_rand<double>(*T.storage,r);
else { long long* p=(long long*)T.storage->data(); size_t n=T.storage->size()/8; for(size_t i=0;i<n;i++) p[i]=(long long)(r.next() & 0x7fffffffffffffffULL);} } return Vpack(T); }
static Value mk_from_list(const string& list,const string& dt){ return Vpack(from_list(list, parse_dt(dt))); }
static Value do_reshape(const Value& v,const string& nsh){ Tensor A=Vunpack(v); return Vpack(reshape_v(A, parse_shape(nsh))); }
static Value do_permute(const Value& v,const string& order){ Tensor A=Vunpack(v); return Vpack(permute_v(A, parse_order(order))); }
static Value do_slice(const Value& v,const string& spec){ Tensor A=Vunpack(v); return Vpack(slice_v(A, parse_slices(spec))); }
static string do_shape(const Value& v){ return tshape(Vunpack(v)); }
static string do_dtype(const Value& v){ return dname(Vunpack(v).dt); }
static string do_tostring(const Value& v){ return tstr(Vunpack(v)); }
// 1.D additions:
static Value do_contiguous(const Value& v){ return Vpack(contiguous(Vunpack(v))); }
static Value do_clone(const Value& v){ return Vpack(clone(Vunpack(v))); }
static Value do_astype(const Value& v, const string& dt){ return Vpack(astype(Vunpack(v), parse_dt(dt))); }
static Value do_fill(const Value& v, long long i_or_float_bits){
// For i64 dtype we take integer; for f32/f64 pass a decimal in string instead (handled in demo via strings)
Tensor A = Vunpack(v);
int64_t N = numel(A.shape);
if (A.dt==DType::I64){
long long x = i_or_float_bits;
long long* p=(long long*)A.storage->data();
for (int64_t i=0;i<N;i++) p[i]=x;
} else if (A.dt==DType::F32){
float x = (float)i_or_float_bits; // you can pass string->float through astype if you want exact
float* p=(float*)A.storage->data();
for (int64_t i=0;i<N;i++) p[i]=x;
} else {
double x = (double)i_or_float_bits;
double* p=(double*)A.storage->data();
for (int64_t i=0;i<N;i++) p[i]=x;
}
return Vpack(A);
}
static Value do_item(const Value& v){
Tensor A = Vunpack(v);
if (numel(A.shape)!=1) throw runtime_error("item(): tensor must have exactly one element");
size_t es = dsize(A.dt);
// compute byte offset for first (and only) element
size_t bo = (size_t)A.offset * es;
if (A.dt==DType::I64){ long long x; memcpy(&x, A.storage->data()+bo, 8); return Value(x); }
if (A.dt==DType::F32){ float x; memcpy(&x, A.storage->data()+bo, 4); return Value(string(to_string(x))); }
double x; memcpy(&x, A.storage->data()+bo, 8); return Value(string(to_string(x)));
}
static void register_natives(){
auto& R = registry();
R["sat.tensor.new"] = [](Regs& regs){ regs[0] = mk_new(as_string(regs[0]), as_string(regs[1])); };
R["sat.tensor.zeros"] = [](Regs& regs){ regs[0] = mk_zeros(as_string(regs[0]), as_string(regs[1])); };
R["sat.tensor.ones"] = [](Regs& regs){ regs[0] = mk_ones(as_string(regs[0]), as_string(regs[1])); };
R["sat.tensor.rand"] = [](Regs& regs){ regs[0] = mk_rand(as_string(regs[0]), as_string(regs[1]), (uint64_t)as_i64(regs[2])); };
R["sat.tensor.from_list"]= [](Regs& regs){ regs[0] = mk_from_list(as_string(regs[0]), as_string(regs[1])); };
R["sat.tensor.reshape"] = [](Regs& regs){ regs[0] = do_reshape(regs[0], as_string(regs[1])); };
R["sat.tensor.permute"] = [](Regs& regs){ regs[0] = do_permute(regs[0], as_string(regs[1])); };
R["sat.tensor.slice"] = [](Regs& regs){ regs[0] = do_slice(regs[0], as_string(regs[1])); };
R["sat.tensor.shape"] = [](Regs& regs){ regs[0] = do_shape(regs[0]); };
R["sat.tensor.dtype"] = [](Regs& regs){ regs[0] = do_dtype(regs[0]); };
R["sat.tensor.to_string"]= [](Regs& regs){ regs[0] = do_tostring(regs[0]); };
// 1.D runtime extras:
R["sat.tensor.contiguous"]= [](Regs& regs){ regs[0] = do_contiguous(regs[0]); };
R["sat.tensor.clone"] = [](Regs& regs){ regs[0] = do_clone(regs[0]); };
R["sat.tensor.astype"] = [](Regs& regs){ regs[0] = do_astype(regs[0], as_string(regs[1])); };
R["sat.tensor.fill"] = [](Regs& regs){ regs[0] = do_fill(regs[0], as_i64(regs[1])); };
R["sat.tensor.item"] = [](Regs& regs){ regs[0] = do_item(regs[0]); };
}
struct _Auto{ _Auto(){ register_natives(); } } _auto_;
} // namespace sat_t
// ---------- Tiny Satellite tokenizer + lowerer (1.B) ----------
struct Tok{ string k,x; };
static inline Tok makeTok(const string& k,const string& x){ return Tok{k,x}; }
static bool is_space_c(char c){ return c==' '||c=='\t'||c=='\r'||c=='\n'; }
static bool is_digit_c(char c){ return c>='0'&&c<='9'; }
static bool is_sym1(char c){ return string("{}()[],;.+-:<>=.[]").find(c)!=string::npos || c=='.'; }
static vector<Tok> tokenize(const string& src){
vector<Tok> out; size_t i=0,N=src.size();
auto push=[&](string k,string x){ out.push_back({k,x}); };
while(i<N){
char c=src[i];
if(is_space_c(c)){ i++; continue; }
if(c=='?'){ while(i<N && src[i]!='\n') i++; continue; }
if(c=='"'){ size_t j=i+1; while(j<N && src[j]!='"') j++; out.push_back({"K_STRING", src.substr(i+1, j-(i+1))}); i=(j<N)?j+1:j; continue; }
if(is_digit_c(c)){ size_t j=i+1; while(j<N && is_digit_c(src[j])) j++; push("K_INT", src.substr(i,j-i)); i=j; continue; }
if(c=='=' && i+1<N && src[i+1]=='='){ push("SYM_EQ","=="); i+=2; continue; }
if(c=='!' && i+1<N && src[i+1]=='='){ push("SYM_NEQ","!="); i+=2; continue; }
if(c=='<' && i+1<N && src[i+1]=='='){ push("SYM_LE","<="); i+=2; continue; }
if(c=='>' && i+1<N && src[i+1]=='='){ push("SYM_GE",">="); i+=2; continue; }
if(is_sym1(c)){
string kind;
if(c=='{')kind="SYM_LBRACE"; else if(c=='}')kind="SYM_RBRACE"; else if(c=='(')kind="SYM_LPAREN"; else if(c==')')kind="SYM_RPAREN";
else if(c=='[')kind="SYM_LBRACKET"; else if(c==']')kind="SYM_RBRACKET"; else if(c==',')kind="SYM_COMMA"; else if(c==';')kind="SYM_SEMI";
else if(c=='.')kind="SYM_DOT"; else if(c=='+')kind="SYM_PLUS"; else if(c=='-')kind="SYM_MINUS"; else if(c==':')kind="SYM_COLON";
else if(c=='=')kind="SYM_ASSIGN"; else if(c=='<')kind="SYM_LT"; else if(c=='>')kind="SYM_GT";
push(kind,string(1,c)); i++; continue;
}
size_t j=i; while(j<N && !is_space_c(src[j]) && !is_sym1(src[j]) && src[j]!='"' && src[j]!='?') j++;
push("K_IDENT", src.substr(i,j-i)); i=j;
}
return out;
}
static string catTok(const vector<Tok>& T,int a,int b){
string s; for(int i=a;i<b;i++){ if(i<0||i>=(int)T.size()) break; if(T[i].k=="K_STRING") s += "\""+T[i].x+"\""; else s+=T[i].x; } return s;
}
// Lowerer features:
// - literal: x = [[...]] : dtype ; → x = sat.tensor.from_list("[[...]]","dtype");
// - alias: tensor.*(...) → sat.tensor.*(...)
static bool match(const vector<Tok>& T,int i,const string& k,const string& x=""){
if(i<0 || i>=(int)T.size()) return false;
if(T[i].k!=k) return false;
if(!x.empty() && T[i].x!=x) return false;
return true;
}
static string lower_tensor_literal(const vector<Tok>& T,int i,string out){
if(!match(T,i+0,"K_IDENT")) return out;
if(!match(T,i+1,"SYM_ASSIGN","=")) return out;
if(!match(T,i+2,"SYM_LBRACKET","[")) return out;
int j=i+2, depth=0, end=-1; // find matching ]
for(;;){
if(j>=(int)T.size()) break;
if(T[j].k=="SYM_LBRACKET") depth++;
if(T[j].k=="SYM_RBRACKET"){ depth--; if(depth==0){ end=j; break; } }
j++;
}
if(end==-1) return out;
if(!match(T,end+1,"SYM_COLON",":")) return out;
if(!match(T,end+2,"K_IDENT")) return out;
if(!match(T,end+3,"SYM_SEMI",";")) return out;
string name = T[i].x;
string dtype = T[end+2].x;
string list_src = catTok(T, i+2, end+1);
out += name + " = sat.tensor.from_list(\"" + list_src + "\", \"" + dtype + "\");\n";
return out;
}
static string lower_tensor_alias(const vector<Tok>& T,int i,string out){
if(!match(T,i+0,"K_IDENT","tensor")) return out;
if(!match(T,i+1,"SYM_DOT",".")) return out;
if(!match(T,i+2,"K_IDENT")) return out;
if(!match(T,i+3,"SYM_LPAREN","(")) return out;
int j=i+3; while(!(match(T,j,"SYM_RPAREN",")") && match(T,j+1,"SYM_SEMI",";"))) j++;
string fname=T[i+2].x; string args=catTok(T,i+4,j);
out += "sat.tensor." + fname + "(" + args + ");\n";
return out;
}
static string lower_sat_tensor_call(const vector<Tok>& T,int i,string out){
if(!( match(T,i+0,"K_IDENT","sat") && match(T,i+1,"SYM_DOT",".") && match(T,i+2,"K_IDENT","tensor")
&& match(T,i+3,"SYM_DOT",".") && match(T,i+4,"K_IDENT") && match(T,i+5,"SYM_LPAREN","("))) return out;
int j=i+5; while(!(match(T,j,"SYM_RPAREN",")")&&match(T,j+1,"SYM_SEMI",";"))) j++;
string fname=T[i+4].x; string args=catTok(T,i+6,j);
out += "sat.tensor." + fname + "(" + args + ");\n";
return out;
}
static string lower_program(const string& src){
auto T = tokenize(src);
string out;
for(int i=0;i<(int)T.size();){
string before=out;
out = lower_tensor_literal(T,i,out); if(out!=before){ i+=6; continue; }
before=out; out = lower_tensor_alias(T,i,out); if(out!=before){ i+=6; continue; }
before=out; out = lower_sat_tensor_call(T,i,out); if(out!=before){ i+=8; continue; }
if (i<(int)T.size()) { if(T[i].k=="K_STRING") out += "\""+T[i].x+"\""; else out += T[i].x; i++; }
}
return out;
}
// ---------- Bytecode + Compiler + VM (1.C) ----------
enum Opcode: uint8_t{
OP_LOAD_CONST=1, OP_PRINT_REG=2, OP_RETURN=3,
OP_NATIVE_CALL=4 // funcNameConstIdx, argc, dstReg, argRegs...
};
struct Chunk{
vector<uint8_t> code; vector<Value> consts;
uint8_t add_const(const Value& v){
for(size_t i=0;i<consts.size();++i) if(consts[i]==v) return (uint8_t)i;
consts.push_back(v); return (uint8_t)(consts.size()-1);
}
};
static uint8_t emit_const(Chunk& ch, const Value& v){ return ch.add_const(v); }
static string trim_ws(const string& s){ size_t a=0,b=s.size(); while(a<b && (s[a]==' '||s[a]=='\t'||s[a]=='\n'||s[a]=='\r')) a++; while(b>a && (s[b-1]==' '||s[b-1]=='\t'||s[b-1]=='\n'||s[b-1]=='\r')) b--; return s.substr(a,b-a); }
struct MiniCompiler {
map<string,uint8_t> var2reg; uint8_t next_reg=0;
uint8_t reg_for_var(const string& name){
auto it=var2reg.find(name); if(it!=var2reg.end()) return it->second;
uint8_t r=next_reg++; var2reg[name]=r; return r;
}
uint8_t load_int(Chunk& ch, long long v){
uint8_t r=next_reg++; uint8_t c=emit_const(ch,(long long)v);
ch.code.push_back(OP_LOAD_CONST); ch.code.push_back(r); ch.code.push_back(c); return r;
}
uint8_t load_str(Chunk& ch, const string& s){
uint8_t r=next_reg++; uint8_t c=emit_const(ch,s);
ch.code.push_back(OP_LOAD_CONST); ch.code.push_back(r); ch.code.push_back(c); return r;
}
uint8_t parse_arg(Chunk& ch, const string& token){
string t=trim_ws(token);
if(!t.empty() && (t[0]=='"' && t.back()=='"')) return load_str(ch, t.substr(1,t.size()-2));
return load_int(ch, stoll(t));
}
vector<string> split_args(const string& s){
vector<string> out; string cur; int depth=0; bool inStr=false;
for(size_t i=0;i<s.size();++i){ char c=s[i];
if (c=='"' && (i==0 || s[i-1]!='\\')) { inStr=!inStr; cur.push_back(c); continue; }
if (inStr){ cur.push_back(c); continue; }
if (c=='(' || c=='[' || c=='{') { depth++; cur.push_back(c); continue; }
if (c==')' || c==']' || c=='}') { depth--; cur.push_back(c); continue; }
if (c==',' && depth==0){ out.push_back(trim_ws(cur)); cur.clear(); continue; }
cur.push_back(c);
}
if(!cur.empty()) out.push_back(trim_ws(cur));
vector<string> out2; for(auto& t:out) if(!t.empty()) out2.push_back(t); return out2;
}
Chunk compile(const string& src_raw){
Chunk ch;
string src = lower_program(src_raw);
string acc; vector<string> stmts;
for(char c: src){ acc.push_back(c); if(c==';'){ stmts.push_back(acc); acc.clear(); } }
for(auto& st_raw: stmts){
string st = trim_ws(st_raw);
if (st=="") continue;
if (st.find("return(satellite)")!=string::npos){ ch.code.push_back(OP_RETURN); continue; }
if (st.rfind("satellite.system.console.display(",0)==0){
auto inside = st.substr(string("satellite.system.console.display(").size());
if (inside.size()<2) continue;
inside.pop_back();
uint8_t r;
if (var2reg.count(trim_ws(inside))) r = var2reg[trim_ws(inside)];
else r = parse_arg(ch, trim_ws(inside));
ch.code.push_back(OP_PRINT_REG); ch.code.push_back(r);
continue;
}
auto posEq = st.find('=');
if (posEq!=string::npos){
string L = trim_ws(st.substr(0,posEq));
string R = trim_ws(st.substr(posEq+1));
if(!L.empty()){
if (R.rfind("sat.tensor.",0)==0){
auto pL = R.find('(');
auto pR = R.rfind(')');
string fq = R.substr(0,pL); // sat.tensor.func
string args = (pL!=string::npos && pR!=string::npos && pR>pL)? R.substr(pL+1, pR-(pL+1)) : "";
string func = fq;
vector<string> al = split_args(args);
vector<uint8_t> arg_regs;
for(auto& a: al) arg_regs.push_back(parse_arg(ch,a));
uint8_t dst = reg_for_var(L);
uint8_t fn_c = emit_const(ch, func);
ch.code.push_back(OP_NATIVE_CALL);
ch.code.push_back(fn_c);
ch.code.push_back((uint8_t)arg_regs.size());
ch.code.push_back(dst);
for(uint8_t r: arg_regs) ch.code.push_back(r);
continue;
}
}
}
}
if (ch.code.empty() || ch.code.back()!=OP_RETURN) ch.code.push_back(OP_RETURN);
return ch;
}
};
struct VM {
array<Value,16> regs{};
void run(const Chunk& ch){
size_t ip=0;
auto gv=[&](uint8_t r)->Value&{ return regs[r]; };
while(ip < ch.code.size()){
uint8_t op = ch.code[ip++];
if (op==OP_LOAD_CONST){
uint8_t r = ch.code[ip++], ci = ch.code[ip++];
gv(r) = ch.consts[ci];
} else if (op==OP_PRINT_REG){
uint8_t r = ch.code[ip++]; print_line(as_string(gv(r)));
} else if (op==OP_NATIVE_CALL){
uint8_t ci = ch.code[ip++]; string fname = get<string>(ch.consts[ci]);
uint8_t argc = ch.code[ip++]; uint8_t dst = ch.code[ip++];
Regs call{};
for (int i=0;i<argc;i++){ uint8_t a = ch.code[ip++]; call[i] = gv(a); }
auto it = registry().find(fname);
if (it==registry().end()){ print_line(string("[native missing] ")+fname); }
else { it->second(call); }
gv(dst) = call[0];
} else if (op==OP_RETURN){
return;
} else {
print_line(string("[bad opcode] ")+to_string((int)op)); return;
}
}
}
};
// ---------- Demo ----------
int main(){
const string program = R"(#include <satellite>
capsule main(s) {
? literal → from_list
A = [[1,2],[3,4]]:f32;
B = [[10,20,30]]:i64;
T = sat.tensor.ones("2x3","f32");
T2 = sat.tensor.reshape(T, "3x2");
T3 = sat.tensor.permute(T2, "1,0");
T4 = sat.tensor.slice(T3, "0:2, 0:2");
C = sat.tensor.contiguous(T4);
D = sat.tensor.clone(C);
E = sat.tensor.astype(D, "i64");
E = sat.tensor.fill(E, 7); ? fill all elements with 7 (i64)
I = sat.tensor.item([[42]]:i64); ? scalar item -> returns 42
satellite.system.console.display( sat.tensor.shape(T) );
satellite.system.console.display( sat.tensor.shape(T2) );
satellite.system.console.display( sat.tensor.shape(T3) );
satellite.system.console.display( sat.tensor.to_string(T4) );
satellite.system.console.display( sat.tensor.dtype(E) );
satellite.system.console.display( I );
R = sat.tensor.rand("2x2x2","f64", 12345);
satellite.system.console.display( sat.tensor.dtype(R) );
satellite.system.console.display( sat.tensor.to_string(R) );
return(satellite);
}
)";
MiniCompiler comp;
auto chunk = comp.compile(program);
cout << "--- LOWERED (after 1.B) ---\n" << lower_program(program) << "\n";
cout << "--- RUN ---\n";
VM vm; vm.run(chunk);
cout << "--- DONE ---\n";
return 0;
}
I never could have even written something that’s that good, and it would have taken me like years to get something like that to even execute, this is only going to take like a day to get this all working, i’ll even post more code:
C++
// ================================================================
// FILE: stage1_tokenizer.satl
// Purpose: Branchy, character-stream tokenizer for a core Satellite subset
// Notes: uses satellite.str.* primitives and satellite.container.*
// Tokens are stored as strings in the form "KIND|LEXEME" to keep it simple.
// Keep < 1000 lines. ~350 lines here.
// ================================================================
#include <satellite>
? ---- Token kinds (string tags) ----
? K_CAPSULE, K_RETURN, K_SATELLITE, K_IF, K_WHILE,
? K_IDENT, K_INT, K_STRING,
? SYM_{LBRACE,RBRACE,LPAREN,RPAREN,LBRACKET,RBRACKET,COMMA,SEMI,DOT,LT,GT,ASSIGN,PLUS,MINUS,EQ,NEQ,GE,LE}
capsule tok_make(satellite.variable.string kind, satellite.variable.string lex)
{
return(kind + "|" + lex);
}
capsule tok_kind(satellite.variable.string tok)
{
satellite.variable.integer p = satellite.str.len(tok);
satellite.variable.integer i = 0;
while (i < p) {
satellite.variable.string ch = satellite.str.char_at(tok, i);
if (ch == "|") { return(satellite.str.slice(tok, 0, i)); }
i = i + 1;
}
return(tok);
}
capsule tok_lex(satellite.variable.string tok)
{
satellite.variable.integer p = satellite.str.len(tok);
satellite.variable.integer i = 0;
while (i < p) {
satellite.variable.string ch = satellite.str.char_at(tok, i);
if (ch == "|") { return(satellite.str.slice(tok, i+1, p)); }
i = i + 1;
}
return("");
}
? ---- Char helpers (branchy) ----
capsule is_space(satellite.variable.string c)
{ if (c == " " ) return(1); if (c == "\t") return(1); if (c == "\r") return(1); if (c == "\n") return(1); return(0); }
capsule is_digit(satellite.variable.string c)
{
if (c == "0") return(1); if (c == "1") return(1); if (c == "2") return(1);
if (c == "3") return(1); if (c == "4") return(1); if (c == "5") return(1);
if (c == "6") return(1); if (c == "7") return(1); if (c == "8") return(1);
if (c == "9") return(1);
return(0);
}
capsule is_single_symbol(satellite.variable.string c)
{
if (c == "{") return(1); if (c == "}") return(1); if (c == "(") return(1); if (c == ")") return(1);
if (c == "[") return(1); if (c == "]") return(1); if (c == ",") return(1); if (c == ";") return(1);
if (c == ".") return(1); if (c == "<") return(1); if (c == ">") return(1); if (c == "=") return(1);
if (c == "+") return(1); if (c == "-") return(1);
return(0);
}
capsule is_delim(satellite.variable.string c)
{ if (is_space(c)) return(1); if (is_single_symbol(c)) return(1); if (c == "\"") return(1); return(0); }
? ---- Keyword detection (branchy tries) ----
capsule kw_kind(satellite.variable.string s)
{
? fast path by first letter
satellite.variable.integer n = satellite.str.len(s);
if (n == 0) return("");
satellite.variable.string a0 = satellite.str.char_at(s,0);
if (a0 == "c") { // capsule
if (n==7 && satellite.str.eq(s, "capsule") == 1) return("K_CAPSULE");
}
if (a0 == "r") { // return
if (n==6 && satellite.str.eq(s, "return") == 1) return("K_RETURN");
}
if (a0 == "s") { // satellite
if (n==9 && satellite.str.eq(s, "satellite") == 1) return("K_SATELLITE");
}
if (a0 == "i") { // if
if (n==2 && satellite.str.eq(s, "if") == 1) return("K_IF");
}
if (a0 == "w") { // while
if (n==5 && satellite.str.eq(s, "while") == 1) return("K_WHILE");
}
return("");
}
? ---- Tokenize a full source string into vector<string> tokens ----
capsule tokenize(satellite.variable.string src)
{
satellite.container.vector<satellite.variable.string> out;
out = satellite.container.vector.new();
satellite.variable.integer i = 0;
satellite.variable.integer N = satellite.str.len(src);
while (i < N) {
satellite.variable.string c = satellite.str.char_at(src, i);
? skip whitespace
if (is_space(c) == 1) { i = i + 1; continue; }
? line comments: '?' at beginning of line or right after a newline
if (c == "?" ) {
? consume until newline
while (i < N) {
satellite.variable.string d = satellite.str.char_at(src, i);
if (d == "\n") { break; }
i = i + 1;
}
continue;
}
? strings
if (c == "\"") {
satellite.variable.integer j = i + 1;
while (j < N) {
satellite.variable.string d = satellite.str.char_at(src, j);
if (d == "\"") { break; }
j = j + 1;
}
satellite.variable.string s = satellite.str.slice(src, i+1, j);
satellite.container.vector.append(out, tok_make("K_STRING", s));
i = (j < N) ? (j + 1) : j;
continue;
}
? numbers (simple digits)
if (is_digit(c) == 1) {
satellite.variable.integer j = i + 1;
while (j < N) {
satellite.variable.string d = satellite.str.char_at(src, j);
if (is_digit(d) == 0) { break; }
j = j + 1;
}
satellite.container.vector.append(out, tok_make("K_INT", satellite.str.slice(src, i, j)));
i = j; continue;
}
? two-char operators: ==, !=, <=, >=
if (c == "=") {
if (i+1 < N && satellite.str.char_at(src,i+1) == "=") { satellite.container.vector.append(out, tok_make("SYM_EQ", "==")); i = i + 2; continue; }
satellite.container.vector.append(out, tok_make("SYM_ASSIGN", "=")); i = i + 1; continue;
}
if (c == "!") {
if (i+1 < N && satellite.str.char_at(src,i+1) == "=") { satellite.container.vector.append(out, tok_make("SYM_NEQ", "!=")); i = i + 2; continue; }
}
if (c == "<") {
if (i+1 < N && satellite.str.char_at(src,i+1) == "=") { satellite.container.vector.append(out, tok_make("SYM_LE", "<=")); i = i + 2; continue; }
satellite.container.vector.append(out, tok_make("SYM_LT", "<")); i = i + 1; continue;
}
if (c == ">") {
if (i+1 < N && satellite.str.char_at(src,i+1) == "=") { satellite.container.vector.append(out, tok_make("SYM_GE", ">=")); i = i + 2; continue; }
satellite.container.vector.append(out, tok_make("SYM_GT", ">")); i = i + 1; continue;
}
? single-char symbols
if (is_single_symbol(c) == 1) {
satellite.variable.string kind = "";
if (c == "{") kind="SYM_LBRACE"; if (c == "}") kind="SYM_RBRACE";
if (c == "(") kind="SYM_LPAREN"; if (c == ")") kind="SYM_RPAREN";
if (c == "[") kind="SYM_LBRACKET"; if (c == "]") kind="SYM_RBRACKET";
if (c == ",") kind="SYM_COMMA"; if (c == ";") kind="SYM_SEMI";
if (c == ".") kind="SYM_DOT"; if (c == "+") kind="SYM_PLUS"; if (c == "-") kind="SYM_MINUS";
satellite.container.vector.append(out, tok_make(kind, c));
i = i + 1; continue;
}
? identifiers / keywords: read until delimiter
satellite.variable.integer j = i;
while (j < N) {
satellite.variable.string d = satellite.str.char_at(src, j);
if (is_delim(d) == 1) { break; }
j = j + 1;
}
satellite.variable.string word = satellite.str.slice(src, i, j);
satellite.variable.string kw = kw_kind(word);
if (satellite.str.len(kw) > 0) {
satellite.container.vector.append(out, tok_make(kw, word));
} else {
satellite.container.vector.append(out, tok_make("K_IDENT", word));
}
i = j; continue;
}
return(out);
}
? Optional: quick test harness
capsule main(satellite.variable.string args)
{
satellite.variable.string demo =
"? demo\n"
"capsule main(satellite.variable.string arguments){\n"
" satellite.container.vector<satellite.variable.string> v;\n"
" v.append(\"hello\");\n"
" satellite.system.console.display(v[0]);\n"
" return(satellite);\n"
"}\n";
satellite.container.vector<satellite.variable.string> toks = tokenize(demo);
satellite.variable.integer k = 0;
while (k < 9999999) {
satellite.variable.string t = satellite.container.vector.get(toks, k);
if (satellite.str.len(t) == 0) { break; }
satellite.system.console.display(t);
k = k + 1;
}
return(satellite);
}
// ================================================================
// FILE: stage1_lowerer.satl
// Purpose: Consume tokens from stage1_tokenizer.satl and emit lowered form
// Notes: targets our current C++ compiler’s simple lines. < 1000 lines. ~400.
// ================================================================
#include <satellite>
? Forward-declare tokenizer entry
capsule tokenize(satellite.variable.string src);
capsule emit_newline(satellite.variable.string s)
{ return(s + "\n"); }
capsule match(satellite.container.vector<satellite.variable.string> toks, satellite.variable.integer i, satellite.variable.string kind, satellite.variable.string lex)
{
satellite.variable.string t = satellite.container.vector.get(toks, i);
if (satellite.str.len(t) == 0) return(0);
satellite.variable.string k = tok_kind(t);
satellite.variable.string x = tok_lex(t);
if (k == kind) {
if (satellite.str.len(lex) == 0) return(1);
if (x == lex) return(1);
}
return(0);
}
capsule expect(satellite.container.vector<satellite.variable.string> toks, satellite.variable.integer i, satellite.variable.string kind)
{
if (match(toks, i, kind, "") == 1) return(1);
satellite.system.console.display("Parse error: expected " + kind);
return(0);
}
? ---- Lowering helpers ----
capsule lower_vector_decl(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out_so_far)
{
? Pattern: satellite . container . vector < satellite . variable . string > IDENT ;
if (match(toks, i+0, "K_SATELLITE", "satellite") == 0) return(out_so_far);
if (match(toks, i+1, "SYM_DOT", ".") == 0) return(out_so_far);
if (match(toks, i+2, "K_IDENT", "container") == 0) return(out_so_far);
if (match(toks, i+3, "SYM_DOT", ".") == 0) return(out_so_far);
if (match(toks, i+4, "K_IDENT", "vector") == 0) return(out_so_far);
if (match(toks, i+5, "SYM_LT", "<") == 0) return(out_so_far);
if (match(toks, i+6, "K_SATELLITE", "satellite") == 0) return(out_so_far);
if (match(toks, i+7, "SYM_DOT", ".") == 0) return(out_so_far);
if (match(toks, i+8, "K_IDENT", "variable") == 0) return(out_so_far);
if (match(toks, i+9, "SYM_DOT", ".") == 0) return(out_so_far);
? accept any inner type token at i+10 (string/integer/binary)
satellite.variable.string inner = tok_lex(satellite.container.vector.get(toks, i+10));
if (match(toks, i+11, "SYM_GT", ">") == 0) return(out_so_far);
? IDENT ;
satellite.variable.string name = tok_lex(satellite.container.vector.get(toks, i+12));
if (match(toks, i+12, "K_IDENT", "") == 0) return(out_so_far);
if (match(toks, i+13, "SYM_SEMI", ";") == 0) return(out_so_far);
satellite.variable.string line = name + " = satellite.container.vector.new();";
return(emit_newline(out_so_far + line));
}
capsule lower_append_call(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out_so_far)
{
? Pattern: IDENT . append ( STRING ) ;
if (match(toks, i+0, "K_IDENT", "") == 0) return(out_so_far);
satellite.variable.string name = tok_lex(satellite.container.vector.get(toks, i+0));
if (match(toks, i+1, "SYM_DOT", ".") == 0) return(out_so_far);
if (match(toks, i+2, "K_IDENT", "append") == 0) return(out_so_far);
if (match(toks, i+3, "SYM_LPAREN", "(") == 0) return(out_so_far);
if (match(toks, i+4, "K_STRING", "") == 0) return(out_so_far);
satellite.variable.string lit = tok_lex(satellite.container.vector.get(toks, i+4));
if (match(toks, i+5, "SYM_RPAREN", ")") == 0) return(out_so_far);
if (match(toks, i+6, "SYM_SEMI", ";") == 0) return(out_so_far);
satellite.variable.string line = "satellite.container.vector.append(" + name + ", \"" + lit + "\");";
return(emit_newline(out_so_far + line));
}
capsule lower_display_index(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out_so_far,
satellite.variable.integer tmp_id)
{
? Pattern: satellite . system . console . display ( IDENT [ INT ] ) ;
if (match(toks, i+0, "K_SATELLITE", "satellite") == 0) return(out_so_far);
if (match(toks, i+1, "SYM_DOT", ".") == 0) return(out_so_far);
if (match(toks, i+2, "K_IDENT", "system") == 0) return(out_so_far);
if (match(toks, i+3, "SYM_DOT", ".") == 0) return(out_so_far);
if (match(toks, i+4, "K_IDENT", "console") == 0) return(out_so_far);
if (match(toks, i+5, "SYM_DOT", ".") == 0) return(out_so_far);
if (match(toks, i+6, "K_IDENT", "display") == 0) return(out_so_far);
if (match(toks, i+7, "SYM_LPAREN", "(") == 0) return(out_so_far);
if (match(toks, i+8, "K_IDENT", "") == 0) return(out_so_far);
satellite.variable.string name = tok_lex(satellite.container.vector.get(toks, i+8));
if (match(toks, i+9, "SYM_LBRACKET", "[") == 0) return(out_so_far);
if (match(toks, i+10, "K_INT", "") == 0) return(out_so_far);
satellite.variable.string idx = tok_lex(satellite.container.vector.get(toks, i+10));
if (match(toks, i+11, "SYM_RBRACKET", "]") == 0) return(out_so_far);
if (match(toks, i+12, "SYM_RPAREN", ")") == 0) return(out_so_far);
if (match(toks, i+13, "SYM_SEMI", ";") == 0) return(out_so_far);
satellite.variable.string tname = "___t" + idx; ? simple temp naming
satellite.variable.string line1 = tname + " = satellite.container.vector.get(" + name + ", " + idx + ");";
satellite.variable.string line2 = "satellite.system.console.display(" + tname + ");";
return(emit_newline(emit_newline(out_so_far + line1) + line2));
}
capsule lower_display_simple(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out_so_far)
{
? Pattern: satellite.system.console.display ( ARG ) ; where ARG is K_STRING or K_IDENT
if (match(toks, i+0, "K_SATELLITE", "satellite") == 0) return(out_so_far);
if (match(toks, i+1, "SYM_DOT", ".") == 0) return(out_so_far);
if (match(toks, i+2, "K_IDENT", "system") == 0) return(out_so_far);
if (match(toks, i+3, "SYM_DOT", ".") == 0) return(out_so_far);
if (match(toks, i+4, "K_IDENT", "console") == 0) return(out_so_far);
if (match(toks, i+5, "SYM_DOT", ".") == 0) return(out_so_far);
if (match(toks, i+6, "K_IDENT", "display") == 0) return(out_so_far);
if (match(toks, i+7, "SYM_LPAREN", "(") == 0) return(out_so_far);
satellite.variable.string kind = tok_kind(satellite.container.vector.get(toks, i+8));
satellite.variable.string lex = tok_lex (satellite.container.vector.get(toks, i+8));
if ( (kind != "K_STRING") && (kind != "K_IDENT") ) return(out_so_far);
if (match(toks, i+9, "SYM_RPAREN", ")") == 0) return(out_so_far);
if (match(toks, i+10, "SYM_SEMI", ";") == 0) return(out_so_far);
satellite.variable.string arg = (kind == "K_STRING") ? ("\"" + lex + "\"") : lex;
satellite.variable.string line = "satellite.system.console.display(" + arg + ");";
return(emit_newline(out_so_far + line));
}
capsule lower_return_satellite(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out_so_far)
{
? Pattern: return ( satellite ) ;
if (match(toks, i+0, "K_RETURN", "return") == 0) return(out_so_far);
if (match(toks, i+1, "SYM_LPAREN", "(") == 0) return(out_so_far);
if (match(toks, i+2, "K_SATELLITE", "satellite") == 0) return(out_so_far);
if (match(toks, i+3, "SYM_RPAREN", ")") == 0) return(out_so_far);
if (match(toks, i+4, "SYM_SEMI", ";") == 0) return(out_so_far);
return(emit_newline(out_so_far + "return(satellite);"));
}
? ---- Lower driver: scan tokens and try patterns; append lines when they match ----
capsule lower_program(satellite.variable.string src)
{
satellite.container.vector<satellite.variable.string> toks = tokenize(src);
satellite.variable.string out = "";
satellite.variable.integer i = 0;
satellite.variable.integer TMAX = 1000000; ? safety limit
satellite.variable.integer tmp_id = 0;
while (i < TMAX) {
satellite.variable.string t = satellite.container.vector.get(toks, i);
if (satellite.str.len(t) == 0) break;
satellite.variable.string before = out;
out = lower_vector_decl(toks, i, out);
if (out != before) { i = i + 14; continue; }
before = out;
out = lower_append_call(toks, i, out);
if (out != before) { i = i + 7; continue; }
before = out;
out = lower_display_index(toks, i, out, tmp_id);
if (out != before) { i = i + 14; tmp_id = tmp_id + 1; continue; }
before = out;
out = lower_display_simple(toks, i, out);
if (out != before) { i = i + 11; continue; }
before = out;
out = lower_return_satellite(toks, i, out);
if (out != before) { i = i + 5; continue; }
? otherwise, advance 1 token (unhandled)
i = i + 1;
}
return(out);
}
capsule main(satellite.variable.string args)
{
satellite.variable.string src =
"#include <satellite>\n"
"capsule main(satellite.variable.string arguments){\n"
" satellite.container.vector<satellite.variable.string> v;\n"
" v.append(\"hello\");\n"
" satellite.system.console.display(v[0]);\n"
" satellite.system.console.display(\"done\");\n"
" return(satellite);\n"
"}\n";
satellite.variable.string lowered = lower_program(src);
satellite.system.console.display("--- LOWERED ---");
satellite.system.console.display(lowered);
? If bridge native is present, run it:
satellite.compiler.compile_and_run(lowered);
return(satellite);
}
// ================================================================
// FILE: stage1_lowerer_with_help.satl (self-contained)
// Purpose: Tokenize + Lower + Tiny help system: help("word");
// Notes: < 1000 lines; includes its own tokenizer so you can paste just this file.
// ================================================================
#include <satellite>
? ---------- Minimal token utils ----------
capsule tok_make(satellite.variable.string kind, satellite.variable.string lex)
{ return(kind + "|" + lex); }
capsule tok_kind(satellite.variable.string tok)
{
satellite.variable.integer p = satellite.str.len(tok);
satellite.variable.integer i = 0;
while (i < p) {
satellite.variable.string ch = satellite.str.char_at(tok, i);
if (ch == "|") { return(satellite.str.slice(tok, 0, i)); }
i = i + 1;
}
return(tok);
}
capsule tok_lex(satellite.variable.string tok)
{
satellite.variable.integer p = satellite.str.len(tok);
satellite.variable.integer i = 0;
while (i < p) {
satellite.variable.string ch = satellite.str.char_at(tok, i);
if (ch == "|") { return(satellite.str.slice(tok, i+1, p)); }
i = i + 1;
}
return("");
}
? ---------- Char helpers (branchy) ----------
capsule is_space(satellite.variable.string c)
{ if (c == " ") return(1); if (c == " ") return(1); if (c == "
") return(1); if (c == "
") return(1); return(0); }
capsule is_digit(satellite.variable.string c)
{
if (c == "0") return(1); if (c == "1") return(1); if (c == "2") return(1);
if (c == "3") return(1); if (c == "4") return(1); if (c == "5") return(1);
if (c == "6") return(1); if (c == "7") return(1); if (c == "8") return(1);
if (c == "9") return(1);
return(0);
}
capsule is_single_symbol(satellite.variable.string c)
{
if (c == "{") return(1); if (c == "}") return(1); if (c == "(") return(1); if (c == ")") return(1);
if (c == "[") return(1); if (c == "]") return(1); if (c == ",") return(1); if (c == ";") return(1);
if (c == ".") return(1); if (c == "<") return(1); if (c == ">") return(1); if (c == "=") return(1);
if (c == "+") return(1); if (c == "-") return(1);
return(0);
}
capsule is_delim(satellite.variable.string c)
{ if (is_space(c)) return(1); if (is_single_symbol(c)) return(1); if (c == "\"") return(1); if (c == "?") return(1); return(0); }
? ---------- Tokenizer (self-contained) ----------
capsule tokenize(satellite.variable.string src)
{
satellite.container.vector<satellite.variable.string> out;
out = satellite.container.vector.new();
satellite.variable.integer i = 0;
satellite.variable.integer N = satellite.str.len(src);
while (i < N) {
satellite.variable.string c = satellite.str.char_at(src, i);
? skip whitespace
if (is_space(c) == 1) { i = i + 1; continue; }
? line comments: '?' to end-of-line
if (c == "?") {
while (i < N) { if (satellite.str.char_at(src, i) == "
") break; i = i + 1; }
continue;
}
? strings
if (c == "\"") {
satellite.variable.integer j = i + 1;
while (j < N) { if (satellite.str.char_at(src, j) == "\"") break; j = j + 1; }
satellite.container.vector.append(out, tok_make("K_STRING", satellite.str.slice(src, i+1, j)));
i = (j < N) ? (j + 1) : j; continue;
}
? numbers
if (is_digit(c) == 1) {
satellite.variable.integer j = i + 1;
while (j < N) { if (is_digit(satellite.str.char_at(src,j)) == 0) break; j = j + 1; }
satellite.container.vector.append(out, tok_make("K_INT", satellite.str.slice(src, i, j)));
i = j; continue;
}
? two-char ops
if (c == "=") {
if (i+1 < N && satellite.str.char_at(src,i+1) == "=") { satellite.container.vector.append(out, tok_make("SYM_EQ","==")); i = i + 2; continue; }
satellite.container.vector.append(out, tok_make("SYM_ASSIGN","=")); i = i + 1; continue;
}
if (c == "!") {
if (i+1 < N && satellite.str.char_at(src,i+1) == "=") { satellite.container.vector.append(out, tok_make("SYM_NEQ","!=")); i = i + 2; continue; }
i = i + 1; continue;
}
if (c == "<") {
if (i+1 < N && satellite.str.char_at(src,i+1) == "=") { satellite.container.vector.append(out, tok_make("SYM_LE","<=")); i = i + 2; continue; }
satellite.container.vector.append(out, tok_make("SYM_LT","<")); i = i + 1; continue;
}
if (c == ">") {
if (i+1 < N && satellite.str.char_at(src,i+1) == "=") { satellite.container.vector.append(out, tok_make("SYM_GE",">=")); i = i + 2; continue; }
satellite.container.vector.append(out, tok_make("SYM_GT",">")); i = i + 1; continue;
}
? single-char symbols
if (is_single_symbol(c) == 1) {
satellite.variable.string kind = "";
if (c == "{") kind="SYM_LBRACE"; if (c == "}") kind="SYM_RBRACE";
if (c == "(") kind="SYM_LPAREN"; if (c == ")") kind="SYM_RPAREN";
if (c == "[") kind="SYM_LBRACKET"; if (c == "]") kind="SYM_RBRACKET";
if (c == ",") kind="SYM_COMMA"; if (c == ";") kind="SYM_SEMI";
if (c == ".") kind="SYM_DOT"; if (c == "+") kind="SYM_PLUS"; if (c == "-") kind="SYM_MINUS";
satellite.container.vector.append(out, tok_make(kind, c)); i = i + 1; continue;
}
? identifiers (and we'll detect keywords later during lowering)
satellite.variable.integer j = i;
while (j < N) { if (is_delim(satellite.str.char_at(src,j)) == 1) break; j = j + 1; }
satellite.container.vector.append(out, tok_make("K_IDENT", satellite.str.slice(src, i, j)));
i = j; continue;
}
return(out);
}
? ---------- Lowering helpers ----------
capsule emit_nl(satellite.variable.string s) { return(s + "
"); }
capsule match_kind_lex(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string kind,
satellite.variable.string lex)
{
satellite.variable.string t = satellite.container.vector.get(toks, i);
if (satellite.str.len(t) == 0) return(0);
satellite.variable.string k = tok_kind(t);
satellite.variable.string x = tok_lex(t);
if (k == kind) {
if (satellite.str.len(lex) == 0) return(1);
if (x == lex) return(1);
}
return(0);
}
? vector declaration: satellite.container.vector<satellite.variable.string> v;
capsule lower_vector_decl(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out)
{
if (match_kind_lex(toks,i+0,"K_IDENT","satellite") == 0) return(out);
if (match_kind_lex(toks,i+1,"SYM_DOT",".") == 0) return(out);
if (match_kind_lex(toks,i+2,"K_IDENT","container") == 0) return(out);
if (match_kind_lex(toks,i+3,"SYM_DOT",".") == 0) return(out);
if (match_kind_lex(toks,i+4,"K_IDENT","vector") == 0) return(out);
if (match_kind_lex(toks,i+5,"SYM_LT","<") == 0) return(out);
if (match_kind_lex(toks,i+6,"K_IDENT","satellite") == 0) return(out);
if (match_kind_lex(toks,i+7,"SYM_DOT",".") == 0) return(out);
if (match_kind_lex(toks,i+8,"K_IDENT","variable") == 0) return(out);
if (match_kind_lex(toks,i+9,"SYM_DOT",".") == 0) return(out);
? accept inner type at i+10
if (match_kind_lex(toks,i+11,"SYM_GT",">") == 0) return(out);
satellite.variable.string name = tok_lex(satellite.container.vector.get(toks,i+12));
if (match_kind_lex(toks,i+12,"K_IDENT","") == 0) return(out);
if (match_kind_lex(toks,i+13,"SYM_SEMI",";") == 0) return(out);
satellite.variable.string line = name + " = satellite.container.vector.new();";
return(emit_nl(out + line));
}
capsule lower_append_call(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out)
{
if (match_kind_lex(toks,i+0,"K_IDENT","") == 0) return(out);
satellite.variable.string name = tok_lex(satellite.container.vector.get(toks,i+0));
if (match_kind_lex(toks,i+1,"SYM_DOT",".") == 0) return(out);
if (match_kind_lex(toks,i+2,"K_IDENT","append") == 0) return(out);
if (match_kind_lex(toks,i+3,"SYM_LPAREN","(") == 0) return(out);
if (match_kind_lex(toks,i+4,"K_STRING","") == 0) return(out);
satellite.variable.string lit = tok_lex(satellite.container.vector.get(toks,i+4));
if (match_kind_lex(toks,i+5,"SYM_RPAREN",")") == 0) return(out);
if (match_kind_lex(toks,i+6,"SYM_SEMI",";") == 0) return(out);
satellite.variable.string line = "satellite.container.vector.append(" + name + ", \"" + lit + "\");";
return(emit_nl(out + line));
}
capsule lower_display_index(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out)
{
if (match_kind_lex(toks,i+0,"K_IDENT","satellite") == 0) return(out);
if (match_kind_lex(toks,i+1,"SYM_DOT",".") == 0) return(out);
if (match_kind_lex(toks,i+2,"K_IDENT","system") == 0) return(out);
if (match_kind_lex(toks,i+3,"SYM_DOT",".") == 0) return(out);
if (match_kind_lex(toks,i+4,"K_IDENT","console") == 0) return(out);
if (match_kind_lex(toks,i+5,"SYM_DOT",".") == 0) return(out);
if (match_kind_lex(toks,i+6,"K_IDENT","display") == 0) return(out);
if (match_kind_lex(toks,i+7,"SYM_LPAREN","(") == 0) return(out);
if (match_kind_lex(toks,i+8,"K_IDENT","") == 0) return(out);
satellite.variable.string name = tok_lex(satellite.container.vector.get(toks,i+8));
if (match_kind_lex(toks,i+9,"SYM_LBRACKET","[") == 0) return(out);
if (match_kind_lex(toks,i+10,"K_INT","") == 0) return(out);
satellite.variable.string idx = tok_lex(satellite.container.vector.get(toks,i+10));
if (match_kind_lex(toks,i+11,"SYM_RBRACKET","]") == 0) return(out);
if (match_kind_lex(toks,i+12,"SYM_RPAREN",")") == 0) return(out);
if (match_kind_lex(toks,i+13,"SYM_SEMI",";") == 0) return(out);
satellite.variable.string tname = "___t" + idx;
satellite.variable.string l1 = tname + " = satellite.container.vector.get(" + name + ", " + idx + ");";
satellite.variable.string l2 = "satellite.system.console.display(" + tname + ");";
return(emit_nl(emit_nl(out + l1) + l2));
}
capsule lower_display_simple(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out)
{
if (match_kind_lex(toks,i+0,"K_IDENT","satellite") == 0) return(out);
if (match_kind_lex(toks,i+1,"SYM_DOT",".") == 0) return(out);
if (match_kind_lex(toks,i+2,"K_IDENT","system") == 0) return(out);
if (match_kind_lex(toks,i+3,"SYM_DOT",".") == 0) return(out);
if (match_kind_lex(toks,i+4,"K_IDENT","console") == 0) return(out);
if (match_kind_lex(toks,i+5,"SYM_DOT",".") == 0) return(out);
if (match_kind_lex(toks,i+6,"K_IDENT","display") == 0) return(out);
if (match_kind_lex(toks,i+7,"SYM_LPAREN","(") == 0) return(out);
satellite.variable.string kind = tok_kind(satellite.container.vector.get(toks,i+8));
satellite.variable.string lex = tok_lex (satellite.container.vector.get(toks,i+8));
if ( (kind != "K_STRING") && (kind != "K_IDENT") ) return(out);
if (match_kind_lex(toks,i+9,"SYM_RPAREN",")") == 0) return(out);
if (match_kind_lex(toks,i+10,"SYM_SEMI",";") == 0) return(out);
satellite.variable.string arg = (kind == "K_STRING") ? ("\"" + lex + "\"") : lex;
satellite.variable.string line = "satellite.system.console.display(" + arg + ");";
return(emit_nl(out + line));
}
capsule lower_return_satellite(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out)
{
if (match_kind_lex(toks,i+0,"K_IDENT","return") == 0) return(out);
if (match_kind_lex(toks,i+1,"SYM_LPAREN","(") == 0) return(out);
if (match_kind_lex(toks,i+2,"K_IDENT","satellite") == 0) return(out);
if (match_kind_lex(toks,i+3,"SYM_RPAREN",")") == 0) return(out);
if (match_kind_lex(toks,i+4,"SYM_SEMI",";") == 0) return(out);
return(emit_nl(out + "return(satellite);"));
}
? ---------- Branchy help system ----------
capsule topic_tag(satellite.variable.string w)
{
satellite.variable.integer n = satellite.str.len(w);
if (n==7 && satellite.str.char_at(w,0)=="c" && satellite.str.char_at(w,1)=="o" && satellite.str.char_at(w,2)=="n" && satellite.str.char_at(w,3)=="s" && satellite.str.char_at(w,4)=="o" && satellite.str.char_at(w,5)=="l" && satellite.str.char_at(w,6)=="e") return("T_CONSOLE");
if (n==6 && satellite.str.char_at(w,0)=="v" && satellite.str.char_at(w,1)=="e" && satellite.str.char_at(w,2)=="c" && satellite.str.char_at(w,3)=="t" && satellite.str.char_at(w,4)=="o" && satellite.str.char_at(w,5)=="r") return("T_VECTOR");
if (n==3 && satellite.str.char_at(w,0)=="s" && satellite.str.char_at(w,1)=="e" && satellite.str.char_at(w,2)=="t") return("T_SET");
if (n==3 && satellite.str.char_at(w,0)=="m" && satellite.str.char_at(w,1)=="a" && satellite.str.char_at(w,2)=="p") return("T_MAP");
if (n==5 && satellite.str.char_at(w,0)=="a" && satellite.str.char_at(w,1)=="r" && satellite.str.char_at(w,2)=="r" && satellite.str.char_at(w,3)=="a" && satellite.str.char_at(w,4)=="y") return("T_ARRAY");
if (n==7 && satellite.str.char_at(w,0)=="i" && satellite.str.char_at(w,1)=="n" && satellite.str.char_at(w,2)=="t" && satellite.str.char_at(w,3)=="e" && satellite.str.char_at(w,4)=="g" && satellite.str.char_at(w,5)=="e" && satellite.str.char_at(w,6)=="r") return("T_INTEGER");
if (n==3 && satellite.str.char_at(w,0)=="g" && satellite.str.char_at(w,1)=="u" && satellite.str.char_at(w,2)=="i") return("T_GUI");
if (n==2 && satellite.str.char_at(w,0)=="f" && satellite.str.char_at(w,1)=="s") return("T_FS");
if (n==4 && satellite.str.char_at(w,0)=="t" && satellite.str.char_at(w,1)=="i" && satellite.str.char_at(w,2)=="m" && satellite.str.char_at(w,3)=="e") return("T_TIME");
return("");
}
capsule append_help_line(satellite.variable.string out, satellite.variable.string s)
{
satellite.variable.string line = "satellite.system.console.display(\"" + s + "\");";
return(emit_nl(out + line));
}
capsule emit_help_for(satellite.variable.string tag, satellite.variable.string out)
{
if (tag == "T_CONSOLE") {
out = append_help_line(out, "console — print to stdout");
out = append_help_line(out, "usage: satellite.system.console.display(value)");
out = append_help_line(out, "vector index: x = satellite.container.vector.get(v, 0)");
return(out);
}
if (tag == "T_VECTOR") {
out = append_help_line(out, "vector — growable list of values");
out = append_help_line(out, "new: v = satellite.container.vector.new()");
out = append_help_line(out, "append: satellite.container.vector.append(v, \"str\")");
out = append_help_line(out, "get: x = satellite.container.vector.get(v, 0)");
return(out);
}
if (tag == "T_SET") {
out = append_help_line(out, "set — unique values (API parity soon)");
out = append_help_line(out, "new: s = satellite.container.set.new()");
out = append_help_line(out, "add: satellite.container.set.add(s, value)");
out = append_help_line(out, "has: satellite.container.set.contains(s, value)");
return(out);
}
if (tag == "T_MAP") {
out = append_help_line(out, "map — key/value dictionary");
out = append_help_line(out, "new: m = satellite.container.map.new()");
out = append_help_line(out, "set: satellite.container.map.set(m, key, value)");
out = append_help_line(out, "get: x = satellite.container.map.get(m, key)");
return(out);
}
if (tag == "T_ARRAY") {
out = append_help_line(out, "array — fixed-size sequence");
out = append_help_line(out, "new: a = satellite.container.array.new(size)");
out = append_help_line(out, "set: satellite.container.array.set(a, i, value)");
out = append_help_line(out, "get: x = satellite.container.array.get(a, i)");
return(out);
}
if (tag == "T_INTEGER") {
out = append_help_line(out, "integer — BigInt (satellite.variable.integer / sat.var.int)");
out = append_help_line(out, "add/sub: a = a + b; (branchy BigInt under the hood)");
out = append_help_line(out, "from string: a = satellite.big.from_string(\"123\")");
return(out);
}
if (tag == "T_GUI") {
out = append_help_line(out, "gui — minimal windowing (planned native)");
out = append_help_line(out, "new window: w = satellite.gui.window(\"title\", 800x600)");
out = append_help_line(out, "button: w.button(\"quit\", action=\"return(satellite)\")");
return(out);
}
if (tag == "T_FS") {
out = append_help_line(out, "fs — filesystem helpers");
out = append_help_line(out, "read: s = satellite.fs.read_text(path)");
out = append_help_line(out, "write: ok = satellite.fs.write_text_atomic(path, s)");
return(out);
}
if (tag == "T_TIME") {
out = append_help_line(out, "time — steady clock");
out = append_help_line(out, "now: t = satellite.time.now() (integer)");
return(out);
}
out = append_help_line(out, "no help for this topic yet");
return(out);
}
capsule lower_help_call(
satellite.container.vector<satellite.variable.string> toks,
satellite.variable.integer i,
satellite.variable.string out)
{
? Pattern: help ( "topic" ) ;
if (match_kind_lex(toks,i+0,"K_IDENT","help") == 0) return(out);
if (match_kind_lex(toks,i+1,"SYM_LPAREN","(") == 0) return(out);
if (match_kind_lex(toks,i+2,"K_STRING","") == 0) return(out);
satellite.variable.string topic = tok_lex(satellite.container.vector.get(toks,i+2));
if (match_kind_lex(toks,i+3,"SYM_RPAREN",")") == 0) return(out);
if (match_kind_lex(toks,i+4,"SYM_SEMI",";") == 0) return(out);
satellite.variable.string tag = topic_tag(topic);
out = append_help_line(out, "--- help: " + topic + " ---");
out = emit_help_for(tag, out);
return(out);
}
? ---------- Driver ----------
capsule lower_program(satellite.variable.string src)
{
satellite.container.vector<satellite.variable.string> toks = tokenize(src);
satellite.variable.string out = "";
satellite.variable.integer i = 0;
satellite.variable.integer steps = 0;
while (steps < 2000000) {
satellite.variable.string t = satellite.container.vector.get(toks, i);
if (satellite.str.len(t) == 0) break;
satellite.variable.string before = out;
out = lower_help_call(toks, i, out); if (out != before) { i = i + 5; steps = steps + 1; continue; }
before = out; out = lower_vector_decl(toks, i, out); if (out != before) { i = i + 14; steps = steps + 1; continue; }
before = out; out = lower_append_call(toks, i, out); if (out != before) { i = i + 7; steps = steps + 1; continue; }
before = out; out = lower_display_index(toks, i, out); if (out != before) { i = i + 14; steps = steps + 1; continue; }
before = out; out = lower_display_simple(toks, i, out);if (out != before) { i = i + 11; steps = steps + 1; continue; }
before = out; out = lower_return_satellite(toks, i, out); if (out != before) { i = i + 5; steps = steps + 1; continue; }
i = i + 1; steps = steps + 1;
}
return(out);
}
capsule main(satellite.variable.string args)
{
satellite.variable.string src =
"#include <satellite>
"
"capsule main(satellite.variable.string arguments){
"
" satellite.container.vector<satellite.variable.string> v;
"
" v.append(\"hello\");
"
" satellite.system.console.display(v[0]);
"
" help(\"console\");
"
" help(\"vector\");
"
" return(satellite);
"
"}
";
satellite.variable.string lowered = lower_program(src);
satellite.system.console.display("--- LOWERED ---");
satellite.system.console.display(lowered);
? run through the native bridge if present
satellite.compiler.compile_and_run(lowered);
return(satellite);
}The above code is in the Satellite programming language, and it’s called a tokenizer — something that turns strings into tokens. Incredibly efficiently, because it runs on Satellite, so it is programmed to run really, really fast. Satellite is the language that he has made with me, and it will be available for download like later today or tomorrow or something like that, when we can get it to actually compile. It also functions as a text editor, so you can write any kind of code in it, but it only runs on Ubuntu/Debian right now, you would have to compile it yourself if you wanted it on windows or some other linux system, so to use it you have to be on Ubuntu or Debian linux, get on Ubuntu or Debian and later i’ll post the download for Satellite, the programming language that is coming out like today or tomorrow or the next day, when I can get the whole thing to compile.
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Understanding Different Ipamorelin CJC 1295 Dosages
Understanding Different Ipamorelin CJC 1295 Dosages
Ipamorelin and CJC‑1295 are two of the most popular
growth hormone secretagogues (GHS) used in both clinical research and wellness
communities. While each peptide has its own unique pharmacokinetic profile, they are often paired because their mechanisms complement one another: Ipamorelin is a selective ghrelin receptor agonist that stimulates growth hormone release with minimal side effects, whereas CJC‑1295 is a long‑acting analog of growth
hormone‑releasing hormone (GHRH) that sustains elevated GH levels over extended periods.
The combination can lead to synergistic increases in circulating
growth hormone and insulin‑like growth factor‑1 (IGF‑1), potentially enhancing muscle repair,
fat loss, skin regeneration, and overall vitality.
The key to achieving desired outcomes lies in selecting the
right dosage schedule for each peptide and ensuring
that they are administered at appropriate times.
Below is a comprehensive guide on how to approach dosing, what to expect, and how to avoid common pitfalls.
—
Ipamorelin Dosage
Standard Therapeutic Range: 100–200 µg per injection. This range has been shown to reliably increase GH without provoking excessive side effects.
Frequency: Typically injected twice daily (morning
and evening). Some users prefer a single higher dose in the morning, but splitting helps maintain steady hormone
levels.
Administration Site: Subcutaneous injections into the abdomen or thigh;
rotate sites to avoid lipodystrophy.
Why 100–200 µg?
Ipamorelin’s potency is high relative to other secretagogues.
Doses above 250 µg can increase the risk of transient water retention, mild swelling at injection sites, and occasionally a slight drop
in appetite. For most individuals, staying within the 100–200 µg window provides robust
GH stimulation while keeping side effects minimal.
—
Sample Ipamorelin Dosing
Time Dose (µg) Notes
7:00 AM 100 Start of day; supports morning metabolism.
10:30 PM 100 Pre‑sleep dose to maintain GH secretion overnight.
This split schedule aligns with the natural circadian rhythm of growth hormone
release, which peaks during sleep. By mirroring this pattern, users can maximize endogenous GH production while avoiding excessive spikes that might lead to fatigue or
joint discomfort.
—
CJC 1295 Dosage
Standard Therapeutic Range: 100–250 µg per injection. Because CJC‑1295 is long‑acting (half‑life ~2–3 days), a weekly dose often suffices.
Frequency: Typically injected once or twice a week, depending on desired IGF‑1 elevation and tolerance.
Administration Site: Subcutaneous injections; many prefer the upper arm for easier access.
Why 100–250 µg?
Higher doses can produce pronounced increases in IGF‑1 but may also lead
to more pronounced side effects such as edema, joint pain, or transient increases in blood glucose.
Starting at 150 µg allows users to gauge response before escalating.
—
Taking Ipamorelin with CJC 1295
Staggered Timing: Injections should be spaced at least two hours apart to
avoid overlapping peaks that might overwhelm the pituitary.
Morning Routine Example:
– 7:00 AM – CJC‑1295 (150 µg)
– 8:30 AM – Ipamorelin (100 µg)
Evening Routine: Often omitted, but some users prefer a second Ipamorelin dose at night to sustain GH release during sleep.
Why stagger?
CJC‑1295’s GHRH analogue effect lasts longer, while Ipamorelin’s ghrelin mimic has a shorter action. By spacing
them, you prevent receptor desensitization and maintain optimal hormone levels across the day.
—
Ipamorelin CJC 1295 Dosage Guide
Phase I – Initiation (Weeks 1–2):
– Ipamorelin: 100 µg twice daily.
– CJC‑1295: 150 µg once weekly.
Phase II – Adjustment (Weeks 3–6):
– Increase Ipamorelin to 200 µg if appetite or GH response
is low.
– Consider a second CJC‑1295 injection for those seeking higher IGF‑1 levels (e.g., 150 µg
+ 150 µg).
Phase III – Maintenance (Weeks 7+):
– Stabilize doses based on serum GH/IGF‑1 checks and subjective response.
– Typically, Ipamorelin remains at 200 µg twice
daily; CJC‑1295 stays at 150–250 µg weekly.
Monitoring:
Check IGF‑1 levels every 4–6 weeks to assess effectiveness.
Adjust dosages in increments of 25 µg to fine‑tune results.
—
Ipamorelin CJC 1295 Side Effects
Symptom Likelihood Management
Mild water retention Low Reduce dose or add
diuretic (consult physician)
Injection site swelling Moderate Rotate sites, use
ice post‑injection
Temporary fatigue Rare Ensure adequate sleep; adjust timing
Joint discomfort Rare at standard doses Lower dose, incorporate anti‑inflammatories
Because both peptides are designed to be selective and have minimal off‑target activity, serious
side effects are uncommon when used within recommended ranges.
Nonetheless, users should remain vigilant for any unusual changes in mood, appetite, or physical symptoms.
—
Optimizing Results and Avoiding Adverse Reactions
Consistent Injection Technique: Cleanse the skin with alcohol, use a new needle each time, and avoid injecting into scar tissue.
Dietary Support: Adequate protein intake (1.5–2 g/kg body weight) supports muscle anabolism; avoid high‑glycemic foods that may blunt GH
action.
Exercise Regimen: Resistance training stimulates endogenous GH release and synergizes with peptide therapy.
Hydration: Staying hydrated helps mitigate mild water retention and improves overall metabolic function.
Regular Blood Work: Periodic assessment of liver enzymes, fasting glucose, and lipid profile ensures safety over long‑term use.
Spotting Red Flags When Buying Peptides
Unusually Low Prices: Authentic peptides are costly due to GMP manufacturing;
a price that seems too good to be true may indicate counterfeit.
Missing Documentation: Reputable suppliers provide certificates of analysis (CoA) and batch numbers.
Lack thereof raises concerns about purity.
Inconsistent Packaging: Variations in vial color,
labeling, or seal integrity can signal tampering.
Negative Reviews or Legal Actions: Research supplier reputation on forums and professional networks
before purchase.
Do You Need Help Figuring Out Ipamorelin CJC 1295 Dosages?
If you’re uncertain about starting doses,
monitoring protocols, or how to adjust based on your individual response, consider consulting a healthcare provider familiar with peptide therapies.
They can tailor the regimen to your health status, goals,
and any underlying conditions.
—
Leave a Comment
Anavar Steroid: The Ultimate Guide To Cycle, Dosages,
And Results
A Comprehensive Guide to the Anavar Cycle
—
1. Introduction – What is Anavar?
Anavar (Oxandrolone) is a synthetic anabolic‑steroid derived from testosterone.
It was originally developed for medical use in treating conditions such as weight
loss after surgery, severe burns, and muscle wasting diseases.
In bodybuilding circles, it’s prized for its mild
profile combined with potent performance‑enhancing effects.
—
2. How Anavar Works
Feature Effect
Anabolic potency Promotes protein synthesis → muscle growth
Androgenic effect Minimal – reduces the risk of virilisation compared to other steroids
Water retention Very low (≈0–5 % body‑water gain) – results in a “dry” appearance
CYP450 inhibition May reduce metabolism of other drugs, especially aromatase inhibitors
—
3. Benefits & Uses
Muscle Hypertrophy
– Fast gains in lean muscle mass (≈0.5–1 kg/month under optimal
conditions).
Fat Loss
– Elevated resting metabolic rate and improved insulin sensitivity.
Performance Enhancement
– Increased strength, power output, and exercise capacity.
Aging & Sarcopenia
– Mitigates age‑related muscle loss when combined with resistance training.
Clinical Support
– Investigated for cachexia management (e.g., cancer,
HIV).
4. Hormone‑Therapy “Molecules” in the
Sports Arena
Category Molecule Mechanism Typical Use in Sports Risks
Anabolic Steroids Testosterone & derivatives (nandrolone, stanozolol) Increase protein synthesis,
red‑blood‑cell production Muscle hypertrophy,
strength Liver toxicity, cardiovascular events, endocrine suppression
Growth Hormone Recombinant hGH Stimulates IGF‑1 release → cell growth Fat loss, muscle mass increase Acromegaly-like symptoms, joint pain
IGF‑1 / IGFBPs IGF‑1 analogs (Mechano growth factor) Promote satellite cell activation Muscle repair Potential tumorigenesis
Erythropoietin Recombinant EPO ↑ RBC count → oxygen delivery
Endurance performance Thrombosis risk
Anabolic Steroids Testosterone derivatives Increase protein synthesis Strength gains Hormonal imbalance, liver toxicity
—
4. Emerging and Controversial Agents
Agent Proposed Mechanism Evidence Status Safety Concerns
SGLT2 inhibitors (e.g., dapagliflozin) Shift metabolism toward ketone production; may activate AMPK Limited animal studies showing improved exercise capacity Diabetic ketoacidosis risk, genital
infections
Beta‑hydroxybutyrate supplementation Directly raises circulating BHB; may mimic fasting
Human trials show modest performance benefits in endurance tasks GI
upset, potential interference with normal glucose metabolism
PHD inhibitors (e.g., roxadustat) Stabilize HIF‑1α,
upregulate glycolytic genes No data on exercise performance
yet Hemoglobin elevation, hypertension risk
SGLT2 inhibitors Promote glucosuria and ketogenesis
Small pilot studies indicate improved VO₂ max in patients with
metabolic syndrome DKA risk, hypoglycemia
—
5. Practical Take‑aways for a Physically Active Individual
Goal Recommendation Rationale
Enhance aerobic capacity (e.g., marathon runner) Incorporate periodized high‑fat/low‑carb training weeks (~1–2 per month).
Use 70‑80 % of body weight from fats, 15 % protein, Why supplements?
> • Omega‑3s improve joint cartilage integrity—critical for repeated
squats.
> • Magnesium is a natural muscle relaxant that can enhance deep sleep stages (NREM).
> • A multivitamin ensures you’re not missing trace minerals essential for energy metabolism during workouts.
—
4. Sleep Architecture & Recovery
4.1 Stages of Sleep
Stage % of Sleep Characteristics
N1 (Light) 5–10% Transition to sleep, easily awakened
N2 45–55% Muscle relaxation, memory consolidation
N3 (Deep/NREM3) 15–25% Growth hormone release, tissue repair
REM 20–25% Dreaming, brain plasticity, emotional regulation
Key Fact: Growth hormone peaks during the first few cycles of N3.
Skipping deep sleep reduces natural anabolic hormone levels.
2. Impact of Sleep Deprivation on Hormones
Hormone Effect of Poor Sleep
Testosterone ↓ 10–30% per night of inadequate sleep (shorter duration, fewer deep cycles).
Cortisol ↑ 20–40% due to increased stress response.
Growth Hormone ↓ 50–70%, leading to decreased muscle repair.
Insulin ↑ Insulin resistance, impairs protein synthesis.
Bottom line: Sleep deprivation creates a hormonal environment that
is anabolic-resistant – muscles cannot grow even if
you train hard.
—
3. The Interplay Between Training Intensity and Recovery
3.1 When Your Body Can’t Keep Up
You can push yourself to very high training intensities (e.g.,
85–90% of 1RM or a few reps per set), but recovery dictates how often you can sustain such loads.
High volume + high intensity: Requires more time for glycogen replenishment and muscle repair.
Low volume + high intensity: Easier on the body, but still demands adequate protein synthesis over at least
24–48 hours.
If your training schedule pushes you to work out daily or every other day with minimal rest days, you’ll see
diminishing returns. The muscles no longer have time to rebuild, and you
risk injury or overtraining.
Practical Application: How Many Workouts per Week?
anavar beginner dosage:
2–3 full-body sessions per week.
Intermediate: 3–4 split workouts (e.g., upper/lower,
push/pull/legs) with at least one rest day.
Advanced: 5–6 training days focusing on specific muscle groups or movement patterns, ensuring each major group
gets a recovery period.
In all cases, listen to your body. If you’re experiencing persistent soreness beyond 48 hours, decreased performance, or mood changes, consider adding an extra
rest day.
4. Nutrition – Fueling Recovery
Even with optimal rest and training volume, nutrition plays
a pivotal role in muscle repair and growth. Here’s what to
focus on:
Macronutrients
Protein: Aim for ~1.6–2.2 g/kg body weight per day.
Distribute evenly across meals (e.g., 30–40 g of high-quality protein every
3–4 h). Whey isolate, casein, soy, or pea proteins can help meet these targets.
Carbohydrates: Provide energy for training and replenish glycogen stores.
A post-workout window (15–60 min after training) is ideal for carb ingestion to accelerate glycogen synthesis—consume 0.5–1 g/kg
body weight of carbs during this period.
Fats: Essential fatty acids are important, but keep fats moderate
(~20–30% of total calories) to avoid excessive caloric intake that might impair performance
or recovery.
Micronutrients & Hydration: Adequate vitamin and
mineral status (particularly magnesium, zinc, calcium,
iron, and antioxidants) supports muscle contraction, protein synthesis,
and immune function. Maintain fluid balance—aim for at least 2–3 L of water daily during training
periods; adjust based on sweat rates.
4. Practical Training & Nutrition Plan
Below is a sample weekly schedule that integrates the above recommendations for an endurance
athlete training ~6 h per day (including long rides,
interval sessions, and recovery). Adjust volume/intensity according to your personal program.
Day Main Activity Protein Target Key Nutrient Focus
Mon Long ride 4 h + low‑intensity steady state 1.6–2.0 g/kg (e.g., 100 g protein) Vitamin D,
Calcium (post‑ride calcium supplement or dairy), Carbohydrates for glycogen
Tue Interval session (HIIT/tempo) 1 h + strength training 1.8–2.5 g/kg (≈120 g protein) Creatine (pre‑workout), Magnesium, Vitamin D
Wed Recovery ride 30 min + mobility work 1.6–2.0 g/kg (≈100 g protein) Omega‑3 fatty
acids for inflammation
Thu Long steady ride 2 h + core training 1.8–2.5 g/kg
(≈120 g protein) Vitamin C, Zinc for immune support
Fri Rest day – optional light walk 1.6–2.0 g/kg (≈100 g
protein) Probiotics, B‑complex vitamins
Sat Race day or high‑intensity interval training 1.8–2.5 g/kg (≈120 g protein) Electrolyte drink
(Na⁺, K⁺), glucose for quick energy
Sun Recovery ride – easy pace 1.6–2.0 g/kg (≈100 g protein) Omega‑3 fatty
acids, vitamin C
Notes
Protein Intake: The ranges above reflect typical recommendations for endurance athletes engaged in regular training.
Adjust based on individual responses and specific training load.
Hydration & Electrolytes: Adequate fluid intake is crucial; consider
a sports drink during longer sessions to replace sodium, potassium,
and magnesium lost via sweat.
Meal Timing: Consuming a small carbohydrate-rich snack 30–60
minutes before a session can improve performance for workouts exceeding 90 minutes.
4. Summary of Key Findings
Aspect Recommendation
Daily Training Load ~70 min, mainly moderate‑intensity aerobic sessions (zone 2).
Recovery Sessions Light rides <30 min, low intensity to aid lactate clearance and circulation.
Cross‑Training 1–2 strength or flexibility sessions per week; low impact cardio (swim/row) on rest days if desired.
Nutrition 4–5 balanced meals, focus on complex carbs pre‑workout, protein post‑workout, adequate hydration, electrolytes during longer rides.
—
How to Monitor Progress
Training Diary – Log distance, time, perceived exertion (RPE), heart rate zones.
Body Weight & Composition – Check weekly; aim for steady weight maintenance or slight lean mass increase.
Performance Tests – Every 6–8 weeks: a timed ride of ~20 km to assess average speed and recovery.
Sleep & Recovery Tracking – Use wearable devices or simple sleep logs.
Quick Reference (Sample 1‑Week Snapshot)
Day Activity Time/Distance Zone Notes
Mon Rest / Light Yoga — — Focus on mobility
Tue Spin Class 50 min 2–3 Keep heart rate < 140 bpm
Wed Outdoor Ride (steady) 60 km 1–2 Aim for < 120 bpm
Thu Recovery Spin 45 min 1 Very light effort
Fri Rest — — Stretch, hydrate
Sat Long Ride (endurance) 120 km 1–2 Maintain low heart rate
Sun CrossFit Session 60 min — Moderate intensity, focus on technique
This plan balances training load, recovery, and cardiovascular health while keeping you within safe exertion limits. Adjust distances or sessions as needed based on how you feel each day. Good luck with your training!
Sustanon 250 dianabol cycle for women Guide: Top
6 Stacks With Dosages
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39 Anavar Cycle Results That Dissolve Fat, Boost Strength And Harden Your Physique Articles And Blog
Overview
This is a prescription medication typically prescribed by
a licensed healthcare professional for specific medical conditions (e.g., certain infections,
chronic diseases, or other approved uses). It should only be taken as directed by a qualified provider and
in the exact dosage recommended for your condition.
Key points to remember
Medical supervision: Only use under direct guidance of
a doctor or qualified prescriber.
Dosage & duration: Follow the prescribed amount, timing, and length of therapy exactly; do not alter the dose without consulting
your provider.
Side‑effects & interactions: Be aware of possible side‑effects and any potential interactions with other medications you are taking.
Report any adverse reactions to your healthcare professional
promptly.
If you experience:
Unusual symptoms (e.g., severe rash, dizziness, breathing difficulty)
– seek medical attention immediately.
A change in how you feel that might be related to
the medication – contact your prescriber for advice.
Always keep an updated list of all medications (prescription, OTC,
herbal supplements) you are taking and share it with any new healthcare provider.
3️⃣ Key Take‑away
> “Your health is a partnership.”
> By staying informed, asking questions, and promptly reporting changes,
you help your care team keep the right treatment on track—making sure
you receive the best possible outcomes.
Feel free to share this note with anyone you trust or bring it into your next appointment!
🌱
—
📌 Quick Checklist for Your Next Visit
✔ Question / Task
✅ “How has my medication worked in the last month?”
✅ “What side‑effects should I watch out for now?”
✅ “Can you show me a visual of how the treatment plan changed?”
✅ “Is there anything else I can do at home to help?”
✅ “When’s my next follow‑up and what will we focus on then?”
—
📩 Need More Info?
If you have questions after reading this or want a printable version of your personalized treatment summary, just let me know.
I’m here to support you every step of the way!
References:
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The combination of Primo Anavar and a testosterone
cycle is often described by fitness enthusiasts as a powerful way to enhance muscle
definition while preserving lean mass. When used correctly, this
pairing can help athletes push through plateau phases, increase strength output, and achieve
a more ripped appearance without the excessive water retention that sometimes
accompanies other anabolic protocols.
Unlock the Power of Primo Anavar and Test Cycle Benefits
Primo Anavar is a premium form of oxandrolone that delivers a high
dose of anabolic activity while minimizing estrogenic side effects.
When paired with an optimized testosterone cycle—typically involving a synthetic long‑acting testosterone like
Sustanon or testosterone cypionate—the synergy between the two compounds creates a cascade of benefits:
Enhanced Protein Synthesis – Both steroids promote rapid protein turnover, allowing for quicker
repair and growth of muscle fibers after intense training
sessions.
Improved Nitrogen Balance – The anabolic environment helps shift the body into a net positive nitrogen balance, essential for sustaining new muscle tissue.
Reduced Body Fat – Anavar’s lipolytic properties help accelerate fat oxidation, so users
often see a leaner silhouette while maintaining their hard‑earned mass.
Increased Strength Gains – Testosterone is well known for its ability to increase power output, and when combined with the mild but potent anabolic effect of Primo, users report
noticeable gains in both explosive movements and heavy lifts.
Stabilized Hormone Profile – The testosterone component
maintains baseline endogenous production, preventing abrupt
drops that could lead to fatigue or loss of
muscle mass.
Key Takeaways
Dosage Matters: A typical regimen might involve 50–75 mg/day of Primo Anavar alongside a testosterone dose tailored to body weight
and experience level. Adhering to cycle length recommendations—usually 6–8 weeks for the
steroid combo—is crucial for safety.
Post‑Cycle Care (PCT) is Essential: After completing the cycle, a carefully planned PCT
using agents like Clomid or Nolvadex helps restore natural hormone
production and protects gains made during the cycle.
Monitoring Health Parameters: Regular blood work should track liver
enzymes, lipid profiles, and testosterone levels to
mitigate potential side effects such as hepatotoxicity or cardiovascular strain.
Nutrition and Training Synergy: Adequate protein intake (1.6–2.2 g per kilogram of body weight) and a structured resistance program amplify the
anabolic impact of the steroids.
Canadian Juice Monsters: The Ultimate Guide to Canada’s Fitness Phenomenon
In recent years, Canada has emerged as a hub for fitness culture, largely driven by a new generation of “Juice Monsters.” These athletes are renowned for their
dedication to both natural training and strategic supplementation. They
often share insights into optimizing performance through carefully selected compounds, like
Primo Anavar, coupled with lifestyle practices that emphasize recovery, nutrition, and mental resilience.
The Canadian Juice Monster community thrives on transparency:
members discuss cycle protocols openly, share post‑cycle care strategies,
and collaborate on nutrition plans tailored to individual goals.
Their collective experience underscores the importance of:
Community Support: Accessing forums and local training groups provides accountability and real‑time feedback.
Educational Resources: From detailed cycle sheets to webinars featuring endocrinologists, Canadians prioritize informed decision‑making over anecdotal hype.
Legal Compliance: Canadian regulations around anabolic substances necessitate a cautious approach; many Juice Monsters opt for legal supplements or seek medical guidance before using prescription steroids.
By embracing the ethos of knowledge sharing and responsible use, Canada’s fitness community continues to push
the boundaries of what is achievable. Whether you’re a seasoned athlete
or just beginning your journey, understanding how Primo Anavar interacts with testosterone—and learning from the
experiences of Canadian Juice Monsters—can help you navigate your
path toward optimal performance and health.
Anavar is a popular anabolic steroid that many athletes and bodybuilders use to enhance muscle definition, strength, and overall physique.
Although it is often marketed as a “milder” steroid compared to others on the market, its effects can be powerful,
especially when combined with rigorous training and proper nutrition. The results of Anavar
usage are typically noticeable in the short term, but users must weigh
these gains against potential health risks that can arise from both acute and chronic use.
Anavar Before and After: Effects, Results, and Risks Explained
Before starting Anavar, most individuals have a baseline muscle mass and body composition determined by genetics, diet, training regimen, and overall
lifestyle. The introduction of Anavar typically leads
to an accelerated rate of muscle protein synthesis, which helps preserve lean tissue while reducing fat stores.
Users often report increased muscular endurance and a noticeable improvement in muscle hardness or
“rock-hard” appearance after just a few weeks.
The results can be summarized as follows:
Rapid increase in strength, allowing for heavier lifts without additional training volume.
Significant loss of body fat, especially when paired with a calorie deficit.
Enhanced recovery times, enabling more frequent
workouts.
Improved muscle definition and vascularity due to the reduction of
water retention.
However, these benefits come with risks that users should carefully consider.
Short-term side effects may include acne, hair thinning,
mood swings, and mild changes in cholesterol levels.
Long-term or high-dose use can lead to liver toxicity, cardiovascular strain, hormonal imbalance (including suppression of natural testosterone production), and psychological issues such as aggression or depression. For women, Anavar is also associated with virilization symptoms like deepening of the voice and increased body
hair.
What Is Anavar?
Anavar, chemically known as oxandrolone, is a synthetic derivative of dihydrotestosterone (DHT).
It was originally developed in the 1960s for medical purposes such as promoting
weight gain after surgery or illness. In sports and bodybuilding circles, it
has gained notoriety because it provides anabolic benefits with relatively low androgenic
activity, which means it tends to produce fewer masculinizing side effects
than other steroids. Anavar is typically administered orally in pill form, with doses ranging from 5 mg to 30 mg per day depending
on the user’s experience level and goals.
The steroid works by binding to androgen receptors in muscle
cells, thereby stimulating anabolic pathways that facilitate protein synthesis and nitrogen retention.
This mechanism results in a net positive nitrogen balance,
which is essential for muscle growth. Additionally, Anavar increases lipolysis—the breakdown of stored fat—making it especially popular among athletes
who need to maintain a lean physique during competition.
Conclusion
In conclusion, Anavar can deliver impressive gains
in muscle definition, strength, and fat loss within a relatively short period when used responsibly.
Its profile as a “milder” steroid makes it attractive for beginners or those looking to avoid severe side effects
associated with more potent anabolic agents.
Nonetheless, the potential health risks—particularly liver strain, hormonal disruption, and
cardiovascular complications—should not be underestimated.
A balanced approach that includes proper dosing, cycle
management, post-cycle therapy, and close monitoring of medical markers is essential to
maximize benefits while minimizing harm. Users who choose Anavar should
remain aware that its short-term advantages may come at the cost of long-term health if used improperly or excessively.
Week‑by‑Week Anavar Progress: Real Results
in Photos
Anavar Gains Unveiled: A Photo Diary of Each Week
From Start to Finish: Anavar Effectiveness Through Weekly Pics
Anavar Journey Revealed: Visual Proof from Week
1 to Week N
Anavar, also known as oxandrolone, is one of the most popular anabolic steroids for bodybuilders and fitness
enthusiasts seeking to improve muscle definition while minimizing bulk.
When taken at a dosage of 20 mg per day—a common starting
point for many beginners—the results can be quite noticeable
over time, especially when combined with a structured training program and disciplined nutrition. Below we detail what users typically experience week by week, outline the overall timeline of effects, and describe
how people generally look and feel before they begin using Anavar.
Anavar Results: Before & After Pics (Week by Week)
While I cannot provide actual photographs, many users share their progress in photo logs that show
subtle yet consistent changes each week. The key visual transformations you might expect from a 20 mg daily dose are:
Weeks 1–2: A slight lift in muscle fullness and a mild reduction in water retention. You may notice the beginnings of more defined vascularity, especially on the arms and shoulders.
Weeks 3–4: The first noticeable difference in lean mass; muscles
look thicker and less “puffy.” Fat loss becomes evident around midsection and
calves, giving a cleaner silhouette.
Weeks 5–6: A pronounced increase in muscular definition. The chest,
back, and quadriceps display more pronounced striations. Strength gains become measurable—bench presses and squats often improve by 10–15 lbs
during this period.
Weeks 7–8: Peak effects of the cycle begin to manifest.
Muscle fullness is at its highest, while fat stores continue to decline.
The overall body shape shifts toward a more “cut” appearance; shoulders appear broader
relative to waist width.
Weeks 9–10 (Post‑cycle): Some users may notice
a slight regression in size if they stop training or nutrition abruptly.
However, with proper post-cycle therapy and continued exercise, many maintain the gains achieved during weeks 7–8.
These week‑by‑week changes are cumulative; each phase builds on the previous one.
Consistency is crucial—missing doses or skipping workouts often leads to
plateauing or slower progress.
Anavar Results Timeline
The timeline for seeing significant results can vary, but a typical 20 mg daily
cycle follows this pattern:
Day 0–7: Initial adaptation; most people
feel more energetic and notice reduced fatigue during training.
Week 2–3: First measurable increase in strength (often 5–10 % improvement).
Muscles start to look fuller, especially after resistance workouts.
Week 4–6: Peak anabolic activity; visible lean muscle gains appear
most pronounced. Body fat percentage often drops by 1–3 %.
Week 7–8: Plateau or slight decline in new gains as the body adapts to
steady hormone levels. Strength plateaus, but maintenance of existing muscle
mass is achieved.
Post‑cycle (Week 9–10): Hormonal balance begins
to return toward baseline. Users typically experience a brief drop in energy and a minor
loss of some lean mass if training or diet is not adjusted accordingly.
During the cycle, users often monitor their progress
by tracking weights lifted, body measurements, and body composition tests such as DEXA
scans or skinfold calipers. The most satisfying part of this timeline is the visible transition from “fatty” to “lean” within a few weeks—something that many non‑steroid athletes find difficult to achieve.
Before Using Anavar
Prior to beginning an Anavar cycle, individuals usually
have distinct baseline characteristics:
Muscle Mass: Most users start with moderate muscle development.
They may already possess a solid training foundation but lack
the final definition needed for competition or personal goals.
Body Fat Percentage: Average body fat ranges from 12 % to 18 %, depending on gender and experience level.
Some users enter cycles aiming to reduce fat while preserving mass.
Strength Levels: Bench press, squat, deadlift numbers are typically in the mid‑to‑high range for experienced lifters but not yet at elite levels.
Users often look for a boost that allows them to lift heavier or maintain intensity during cutting phases.
Diet and Training Regimen: Most people follow a calorie‑controlled diet with a focus on macronutrient balance (protein, carbs, fats).
Training schedules include hypertrophy protocols
(8–12 reps) combined with some strength work (4–6 reps).
Health Status: Users usually conduct pre‑cycle blood
panels to ensure liver enzymes, lipid profile,
and hormone levels are within normal ranges.
This baseline check helps gauge how well the
body might handle anabolic steroids.
Understanding these pre‑cycle conditions is essential because it informs expectations for what Anavar
can realistically achieve. Those with solid fundamentals tend to see clearer gains in definition and strength compared to beginners who may
need more foundational work before adding a steroid.
In summary, a 20 mg daily dose of Anavar offers noticeable improvements in muscle tone, strength, and body composition over an eight‑week period.
The changes unfold gradually, becoming most apparent around weeks five to seven, with the best results typically observed by week eight.
Users who start from a baseline of moderate training experience, controlled diet, and
healthy body metrics are positioned to maximize these benefits while minimizing potential drawbacks.
best steroid for strength and cutting
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