hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e1f4a64b670be2fe9bca43722fcf8df3e745cd90
| 590,669
|
py
|
Python
|
wasmtree/parser.py
|
jvs/wasmtree
|
58f8561d4499171bb72f4ace2b923ae7939f4e30
|
[
"MIT"
] | null | null | null |
wasmtree/parser.py
|
jvs/wasmtree
|
58f8561d4499171bb72f4ace2b923ae7939f4e30
|
[
"MIT"
] | null | null | null |
wasmtree/parser.py
|
jvs/wasmtree
|
58f8561d4499171bb72f4ace2b923ae7939f4e30
|
[
"MIT"
] | null | null | null |
# Generated by ../generate_parser.py
"""
# Grammar definition:
```
import struct
```
class Module {
let magic: b'\\x00\\x61\\x73\\x6D'
let version: b'\\x01\\x00\\x00\\x00'
custom1: CustomSection*
type_section: TypeSection?
custom2: CustomSection*
import_section: ImportSection?
custom3: CustomSection*
function_section: FunctionSection?
custom4: CustomSection*
table_section: TableSection?
custom5: CustomSection*
memory_section: MemorySection?
custom6: CustomSection*
global_section: GlobalSection?
custom7: CustomSection*
export_section: ExportSection?
custom8: CustomSection*
start_section: StartSection?
custom9: CustomSection*
element_section: ElementSection?
custom10: CustomSection*
data_count_section: DataCountSection?
custom11: CustomSection*
code_section: CodeSection?
custom12: CustomSection*
data_section: DataSection?
custom13: CustomSection*
}
# Sections.
class CustomSection {
let id: 0x00
let size: u32
let loc: LocatedName
let remaining = `size - (loc.end - loc.start)`
name: `loc.name`
body: ByteString(remaining)
}
class TypeSection {
let id: 0x01
let size: u32
function_types: vec(FunctionType)
}
class ImportSection {
let id: 0x02
let size: u32
imports: vec(Import)
}
class FunctionSection {
let id: 0x03
let size: u32
type_indexes: vec(TypeIndex)
}
class TableSection {
let id: 0x04
let size: u32
table_types: vec(TableType)
}
class MemorySection {
let id: 0x05
let size: u32
memory_types: vec(MemoryType)
}
class GlobalSection {
let id: 0x06
let size: u32
globals: vec(Global)
}
class ExportSection {
let id: 0x07
let size: u32
exports: vec(Export)
}
class StartSection {
let id: 0x08
let size: u32
index: FunctionIndex
}
class ElementSection {
let id: 0x09
let size: u32
segments: vec(ElementSegment)
}
class DataCountSection {
let id: 0x0C
let size: u32
count: Opt(u32 where `lambda _: size > 0`)
}
class CodeSection {
let id: 0x0A
let size: u32
entries: vec(CodeEntry)
}
class DataSection {
let id: 0x0B
let size: u32
segments: vec(DefaultDataSegment | PassiveDataSegment | ActiveDataSegment)
}
# Globals.
class Global {
type: GlobalType
initializer: Expression
}
# Imports.
class Import {
module: Name
name: Name
descriptor: ImportFunc | ImportTable | ImportMemory | ImportGlobal
}
class ImportFunc { let id: 0x00; type: TypeIndex }
class ImportTable { let id: 0x01; type: TableType }
class ImportMemory { let id: 0x02; type: MemoryType }
class ImportGlobal { let id: 0x03; type: GlobalType }
# Exports.
class Export {
name: Name
descriptor: ExportFunc | ExportTable | ExportMemory | ExportGlobal
}
class ExportFunc { let id: 0x00; index: FunctionIndex }
class ExportTable { let id: 0x01; index: TableIndex }
class ExportMemory { let id: 0x02; index: MemoryIndex }
class ExportGlobal { let id: 0x03; index: GlobalIndex }
# Element segments.
ElementSegment = (
DefaultSegment
| PassiveFuncRefSegment
| ActiveFuncRefSegment
| DeclarativeFuncRefSegment
| DefaultExpressionSegment
| PassiveExpressionSegment
| ActiveExpressionSegment
| DeclarativeExpressionSegment
)
class DefaultSegment {
let id: 0x00
offset: Expression
function_indexes: vec(FunctionIndex)
}
class PassiveFuncRefSegment {
let id: 0x01
type: 0x00 >> `'funcref'`
function_indexes: vec(FunctionIndex)
}
class ActiveFuncRefSegment {
let id: 0x02
table_index: TableIndex
offset: Expression
type: 0x00 >> `'funcref'`
function_indexes: vec(FunctionIndex)
}
class DeclarativeFuncRefSegment {
let id: 0x03
type: 0x00 >> `'funcref'`
function_indexes: vec(FunctionIndex)
}
class DefaultExpressionSegment {
let id: 0x04
offset: Expression
initializers: vec(Expression)
}
class PassiveExpressionSegment {
let id: 0x05
type: ReferenceType
initializers: vec(Expression)
}
class ActiveExpressionSegment {
let id: 0x06
table_index: TableIndex
offset: Expression
type: ReferenceType
initializers: vec(Expression)
}
class DeclarativeExpressionSegment {
let id: 0x07
type: ReferenceType
initializers: vec(Expression)
}
# Data segments.
class DefaultDataSegment {
let id: 0x00
offset: Expression
contents: ByteVector
}
class PassiveDataSegment {
let id: 0x01
contents: ByteVector
}
class ActiveDataSegment {
let id: 0x02
index: MemoryIndex
offset: Expression
contents: ByteVector
}
# Limits.
Limits = MinLimit | MinMaxLimits
class MinLimit {
let id: 0x00
min: u32
}
class MinMaxLimits {
let id: 0x01
min: u32
max: u32
}
# Types.
DataIndex = u32
FunctionIndex = u32
ElementIndex = u32
GlobalIndex = u32
LabelIndex = u32
LocalIndex = u32
MemoryIndex = u32
TableIndex = u32
TypeIndex = u32
BlockType = 0x40 >> `'empty'` | ValueType | SignedInt
class FunctionType {
let id: 0x60
parameter_types: vec(ValueType)
result_types: vec(ValueType)
}
class GlobalType {
type: ValueType
modifier: 0x00 >> `'const'` | 0x01 >> `'var'`
}
class MemoryType {
limits: Limits
}
NumberType = (
0x7F >> `'i32'`
| 0x7E >> `'i64'`
| 0x7D >> `'f32'`
| 0x7C >> `'f64'`
)
class TableType {
type: ReferenceType
limits: Limits
}
ReferenceType = 0x70 >> `'funcref'` | 0x6F >> `'externref'`
ValueType = NumberType | ReferenceType
# Vectors.
vec(element) =>
let length = u32 in
element{length}
# Uninterpreted bytes.
ByteString(size) => bytechar{size} |> `lambda x: b''.join(x)`
ByteVector => vec(bytechar) |> `lambda x: b''.join(x)`
bytechar = b/[\\x00-\\xFF]/
# Names.
Name = vec(bytechar) |> `lambda x: b''.join(x).decode('utf8')`
class LocatedName {
start: `_pos`
name: Name
end: `_pos`
}
# Numbers.
byte = b/[\\x00-\\xFF]/ |> `ord`
u32 = UnsignedInt
i32 = SignedInt
i64 = SignedInt
f32 = b/[\\x00-\\xFF]{4}/ |> `lambda x: struct.unpack('<f', x)[0]`
f64 = b/[\\x00-\\xFF]{8}/ |> `lambda x: struct.unpack('<d', x)[0]`
SignedInt = LEB128 |> `decode_signed_int`
UnsignedInt = LEB128 |> `decode_unsigned_int`
LEB128 = b/[\\x80-\\xFF]*[\\x00-\\x7F]/
```
continue_flag = 1 << 7
def decode_signed_int(bytes):
mask = 0xFF >> 1
result = 0
shift = 0
for b in bytes:
result |= (b & mask) << shift
shift += 7
sign = 1 << 6
if b & sign:
result |= (~0 << shift)
return result
def decode_unsigned_int(bytes):
mask = 0xFF >> 1
result = 0
shift = 0
for b in bytes:
result |= (b & mask) << shift
shift += 7
return result
```
# Code.
class CodeEntry {
let size: u32
locals: vec(Locals)
expression: Expression
}
class Locals {
count: u32
type: ValueType
}
# Instructions.
Expression => Instruction* << 0x0B
Instruction = (
unreachable
| nop
| Block
| Loop
| If
| br
| br_if
| br_table
| ret
| call
| call_indirect
| ref_null
| ref_is_null
| ref_func
| drop
| select
| select_t
| local_get
| local_set
| local_tee
| global_get
| global_set
| table_get
| table_set
| i32_load
| i64_load
| f32_load
| f64_load
| i32_load8_s
| i32_load8_u
| i32_load16_s
| i32_load16_u
| i64_load8_s
| i64_load8_u
| i64_load16_s
| i64_load16_u
| i64_load32_s
| i64_load32_u
| i32_store
| i64_store
| f32_store
| f64_store
| i32_store8
| i32_store16
| i64_store8
| i64_store16
| i64_store32
| memory_size
| memory_grow
| i32_const
| i64_const
| f32_const
| f64_const
| i32_eqz
| i32_eq
| i32_ne
| i32_lt_s
| i32_lt_u
| i32_gt_s
| i32_gt_u
| i32_le_s
| i32_le_u
| i32_ge_s
| i32_ge_u
| i64_eqz
| i64_eq
| i64_ne
| i64_lt_s
| i64_lt_u
| i64_gt_s
| i64_gt_u
| i64_le_s
| i64_le_u
| i64_ge_s
| i64_ge_u
| f32_eq
| f32_ne
| f32_lt
| f32_gt
| f32_le
| f32_ge
| f64_eq
| f64_ne
| f64_lt
| f64_gt
| f64_le
| f64_ge
| i32_clz
| i32_ctz
| i32_popcnt
| i32_add
| i32_sub
| i32_mul
| i32_div_s
| i32_div_u
| i32_rem_s
| i32_rem_u
| i32_and
| i32_or
| i32_xor
| i32_shl
| i32_shr_s
| i32_shr_u
| i32_rotl
| i32_rotr
| i64_clz
| i64_ctz
| i64_popcnt
| i64_add
| i64_sub
| i64_mul
| i64_div_s
| i64_div_u
| i64_rem_s
| i64_rem_u
| i64_and
| i64_or
| i64_xor
| i64_shl
| i64_shr_s
| i64_shr_u
| i64_rotl
| i64_rotr
| f32_abs
| f32_neg
| f32_ceil
| f32_floor
| f32_trunc
| f32_nearest
| f32_sqrt
| f32_add
| f32_sub
| f32_mul
| f32_div
| f32_min
| f32_max
| f32_copysign
| f64_abs
| f64_neg
| f64_ceil
| f64_floor
| f64_trunc
| f64_nearest
| f64_sqrt
| f64_add
| f64_sub
| f64_mul
| f64_div
| f64_min
| f64_max
| f64_copysign
| i32_wrap_i64
| i32_trunc_f32_s
| i32_trunc_f32_u
| i32_trunc_f64_s
| i32_trunc_f64_u
| i64_extend_i32_s
| i64_extend_i32_u
| i64_trunc_f32_s
| i64_trunc_f32_u
| i64_trunc_f64_s
| i64_trunc_f64_u
| f32_convert_i32_s
| f32_convert_i32_u
| f32_convert_i64_s
| f32_convert_i64_u
| f32_demote_f64
| f64_convert_i32_s
| f64_convert_i32_u
| f64_convert_i64_s
| f64_convert_i64_u
| f64_promote_f32
| i32_reinterpret_f32
| i64_reinterpret_f64
| f32_reinterpret_i32
| f64_reinterpret_i64
| i32_extend8_s
| i32_extend16_s
| i64_extend8_s
| i64_extend16_s
| i64_extend32_s
| i32_trunc_sat_f32_s
| i32_trunc_sat_f32_u
| i32_trunc_sat_f64_s
| i32_trunc_sat_f64_u
| i64_trunc_sat_f32_s
| i64_trunc_sat_f32_u
| i64_trunc_sat_f64_s
| i64_trunc_sat_f64_u
| memory_init
| data_drop
| memory_copy
| memory_fill
| table_init
| elem_drop
| table_copy
| table_grow
| table_size
| table_fill
)
class unreachable { let id: 0x00 }
class nop { let id: 0x01 }
class Block {
let id: 0x02
type: BlockType
body: Expression
}
class Loop {
let id: 0x03
type: BlockType
body: Expression
}
class If {
let id: 0x04
type: BlockType
true_case: Instruction* << Expect(0x05 | 0x0B)
else_case: Opt(0x05 >> Instruction*) << 0x0B
}
class br {
let id: 0x0C
label: LabelIndex
}
class br_if {
let id: 0x0D
label: LabelIndex
}
class br_table {
let id: 0x0E
labels: vec(LabelIndex)
default: LabelIndex
}
class ret {
let id: 0x0F
}
class call {
let id: 0x10
function: FunctionIndex
}
class call_indirect {
let id: 0x11
type_index: TypeIndex
table_index: TableIndex
}
class ref_null { let id: 0xD0; type: ReferenceType }
class ref_is_null { let id: 0xD1 }
class ref_func { let id: 0xD2; function: FunctionIndex }
class drop { let id: 0x1A }
class select { let id: 0x1B }
class select_t { let id: 0x1C; types: vec(ValueType) }
class local_get { let id: 0x20; index: LocalIndex }
class local_set { let id: 0x21; index: LocalIndex }
class local_tee { let id: 0x22; index: LocalIndex }
class global_get { let id: 0x23; index: GlobalIndex }
class global_set { let id: 0x24; index: GlobalIndex }
class table_get { let id: 0x25; index: TableIndex }
class table_set { let id: 0x26; index: TableIndex }
class i32_load { let id: 0x28; align: u32; offset: u32 }
class i64_load { let id: 0x29; align: u32; offset: u32 }
class f32_load { let id: 0x2A; align: u32; offset: u32 }
class f64_load { let id: 0x2B; align: u32; offset: u32 }
class i32_load8_s { let id: 0x2C; align: u32; offset: u32 }
class i32_load8_u { let id: 0x2D; align: u32; offset: u32 }
class i32_load16_s { let id: 0x2E; align: u32; offset: u32 }
class i32_load16_u { let id: 0x2F; align: u32; offset: u32 }
class i64_load8_s { let id: 0x30; align: u32; offset: u32 }
class i64_load8_u { let id: 0x31; align: u32; offset: u32 }
class i64_load16_s { let id: 0x32; align: u32; offset: u32 }
class i64_load16_u { let id: 0x33; align: u32; offset: u32 }
class i64_load32_s { let id: 0x34; align: u32; offset: u32 }
class i64_load32_u { let id: 0x35; align: u32; offset: u32 }
class i32_store { let id: 0x36; align: u32; offset: u32 }
class i64_store { let id: 0x37; align: u32; offset: u32 }
class f32_store { let id: 0x38; align: u32; offset: u32 }
class f64_store { let id: 0x39; align: u32; offset: u32 }
class i32_store8 { let id: 0x3A; align: u32; offset: u32 }
class i32_store16 { let id: 0x3B; align: u32; offset: u32 }
class i64_store8 { let id: 0x3C; align: u32; offset: u32 }
class i64_store16 { let id: 0x3D; align: u32; offset: u32 }
class i64_store32 { let id: 0x3E; align: u32; offset: u32 }
class memory_size { let id: 0x3F; let zero: 0x00 }
class memory_grow { let id: 0x40; let zero: 0x00 }
class i32_const { let id: 0x41; number: i32 }
class i64_const { let id: 0x42; number: i64 }
class f32_const { let id: 0x43; number: f32 }
class f64_const { let id: 0x44; number: f64 }
class i32_eqz { let id: 0x45 }
class i32_eq { let id: 0x46 }
class i32_ne { let id: 0x47 }
class i32_lt_s { let id: 0x48 }
class i32_lt_u { let id: 0x49 }
class i32_gt_s { let id: 0x4A }
class i32_gt_u { let id: 0x4B }
class i32_le_s { let id: 0x4C }
class i32_le_u { let id: 0x4D }
class i32_ge_s { let id: 0x4E }
class i32_ge_u { let id: 0x4F }
class i64_eqz { let id: 0x50 }
class i64_eq { let id: 0x51 }
class i64_ne { let id: 0x52 }
class i64_lt_s { let id: 0x53 }
class i64_lt_u { let id: 0x54 }
class i64_gt_s { let id: 0x55 }
class i64_gt_u { let id: 0x56 }
class i64_le_s { let id: 0x57 }
class i64_le_u { let id: 0x58 }
class i64_ge_s { let id: 0x59 }
class i64_ge_u { let id: 0x5A }
class f32_eq { let id: 0x5B }
class f32_ne { let id: 0x5C }
class f32_lt { let id: 0x5D }
class f32_gt { let id: 0x5E }
class f32_le { let id: 0x5F }
class f32_ge { let id: 0x60 }
class f64_eq { let id: 0x61 }
class f64_ne { let id: 0x62 }
class f64_lt { let id: 0x63 }
class f64_gt { let id: 0x64 }
class f64_le { let id: 0x65 }
class f64_ge { let id: 0x66 }
class i32_clz { let id: 0x67 }
class i32_ctz { let id: 0x68 }
class i32_popcnt { let id: 0x69 }
class i32_add { let id: 0x6A }
class i32_sub { let id: 0x6B }
class i32_mul { let id: 0x6C }
class i32_div_s { let id: 0x6D }
class i32_div_u { let id: 0x6E }
class i32_rem_s { let id: 0x6F }
class i32_rem_u { let id: 0x70 }
class i32_and { let id: 0x71 }
class i32_or { let id: 0x72 }
class i32_xor { let id: 0x73 }
class i32_shl { let id: 0x74 }
class i32_shr_s { let id: 0x75 }
class i32_shr_u { let id: 0x76 }
class i32_rotl { let id: 0x77 }
class i32_rotr { let id: 0x78 }
class i64_clz { let id: 0x79 }
class i64_ctz { let id: 0x7A }
class i64_popcnt { let id: 0x7B }
class i64_add { let id: 0x7C }
class i64_sub { let id: 0x7D }
class i64_mul { let id: 0x7E }
class i64_div_s { let id: 0x7F }
class i64_div_u { let id: 0x80 }
class i64_rem_s { let id: 0x81 }
class i64_rem_u { let id: 0x82 }
class i64_and { let id: 0x83 }
class i64_or { let id: 0x84 }
class i64_xor { let id: 0x85 }
class i64_shl { let id: 0x86 }
class i64_shr_s { let id: 0x87 }
class i64_shr_u { let id: 0x88 }
class i64_rotl { let id: 0x89 }
class i64_rotr { let id: 0x8A }
class f32_abs { let id: 0x8B }
class f32_neg { let id: 0x8C }
class f32_ceil { let id: 0x8D }
class f32_floor { let id: 0x8E }
class f32_trunc { let id: 0x8F }
class f32_nearest { let id: 0x90 }
class f32_sqrt { let id: 0x91 }
class f32_add { let id: 0x92 }
class f32_sub { let id: 0x93 }
class f32_mul { let id: 0x94 }
class f32_div { let id: 0x95 }
class f32_min { let id: 0x96 }
class f32_max { let id: 0x97 }
class f32_copysign { let id: 0x98 }
class f64_abs { let id: 0x99 }
class f64_neg { let id: 0x9A }
class f64_ceil { let id: 0x9B }
class f64_floor { let id: 0x9C }
class f64_trunc { let id: 0x9D }
class f64_nearest { let id: 0x9E }
class f64_sqrt { let id: 0x9F }
class f64_add { let id: 0xA0 }
class f64_sub { let id: 0xA1 }
class f64_mul { let id: 0xA2 }
class f64_div { let id: 0xA3 }
class f64_min { let id: 0xA4 }
class f64_max { let id: 0xA5 }
class f64_copysign { let id: 0xA6 }
class i32_wrap_i64 { let id: 0xA7 }
class i32_trunc_f32_s { let id: 0xA8 }
class i32_trunc_f32_u { let id: 0xA9 }
class i32_trunc_f64_s { let id: 0xAA }
class i32_trunc_f64_u { let id: 0xAB }
class i64_extend_i32_s { let id: 0xAC }
class i64_extend_i32_u { let id: 0xAD }
class i64_trunc_f32_s { let id: 0xAE }
class i64_trunc_f32_u { let id: 0xAF }
class i64_trunc_f64_s { let id: 0xB0 }
class i64_trunc_f64_u { let id: 0xB1 }
class f32_convert_i32_s { let id: 0xB2 }
class f32_convert_i32_u { let id: 0xB3 }
class f32_convert_i64_s { let id: 0xB4 }
class f32_convert_i64_u { let id: 0xB5 }
class f32_demote_f64 { let id: 0xB6 }
class f64_convert_i32_s { let id: 0xB7 }
class f64_convert_i32_u { let id: 0xB8 }
class f64_convert_i64_s { let id: 0xB9 }
class f64_convert_i64_u { let id: 0xBA }
class f64_promote_f32 { let id: 0xBB }
class i32_reinterpret_f32 { let id: 0xBC }
class i64_reinterpret_f64 { let id: 0xBD }
class f32_reinterpret_i32 { let id: 0xBE }
class f64_reinterpret_i64 { let id: 0xBF }
class i32_extend8_s { let id: 0xC0 }
class i32_extend16_s { let id: 0xC1 }
class i64_extend8_s { let id: 0xC2 }
class i64_extend16_s { let id: 0xC3 }
class i64_extend32_s { let id: 0xC4 }
class i32_trunc_sat_f32_s { let id: 0xFC; let code: 0x00 }
class i32_trunc_sat_f32_u { let id: 0xFC; let code: 0x01 }
class i32_trunc_sat_f64_s { let id: 0xFC; let code: 0x02 }
class i32_trunc_sat_f64_u { let id: 0xFC; let code: 0x03 }
class i64_trunc_sat_f32_s { let id: 0xFC; let code: 0x04 }
class i64_trunc_sat_f32_u { let id: 0xFC; let code: 0x05 }
class i64_trunc_sat_f64_s { let id: 0xFC; let code: 0x06 }
class i64_trunc_sat_f64_u { let id: 0xFC; let code: 0x07 }
class memory_init {
let id: 0xFC
let code: 0x08
data_index: DataIndex
let zero: 0x00
}
class data_drop {
let id: 0xFC
let code: 0x09
data_index: DataIndex
}
class memory_copy {
let id: 0xFC
let code: 0x0A
let zeros: b'\\x00\\x00'
}
class memory_fill {
let id: 0xFC
let code: 0x0B
let zero: 0x00
}
class table_init {
let id: 0xFC
let code: 0x0C
element: ElementIndex
table: TableIndex
}
class elem_drop {
let id: 0xFC
let code: 0x0D
element: ElementIndex
}
class table_copy {
let id: 0xFC
let code: 0x0E
destination: TableIndex
source: TableIndex
}
class table_grow { let id: 0xFC; let code: 0x0F; table: TableIndex }
class table_size { let id: 0xFC; let code: 0x10; table: TableIndex }
class table_fill { let id: 0xFC; let code: 0x11; table: TableIndex }
"""
from collections import namedtuple as _nt
from re import compile as _compile_re, IGNORECASE as _IGNORECASE
class Node:
_fields = ()
def __init__(self):
self._metadata = _Metadata()
def __eq__(self, other):
if not isinstance(other, self.__class__):
return False
for field in self._fields:
if getattr(self, field) != getattr(other, field):
return False
return True
def _asdict(self):
return {k: getattr(self, k) for k in self._fields}
def _replace(self, **kw):
for field in self._fields:
if field not in kw:
kw[field] = getattr(self, field)
result = self.__class__(**kw)
result._metadata.update(self._metadata)
return result
class _Metadata:
def __init__(self, **fields):
object.__setattr__(self, '_fields', fields)
def __getattr__(self, name):
return self._fields.get(name)
def __setattr__(self, name, value):
self._fields[name] = value
def __len__(self):
return len(self._fields)
def copy(self):
return _Metadata(**self._fields)
def update(self, other):
self._fields.update(other._fields)
class Rule:
def __init__(self, name, parse, definition):
self.name = name
self.parse = parse
self.definition = definition
def __repr__(self):
return (f'Rule(name={self.name!r}, parse={self.parse.__name__},'
f' definition={self.definition!r})')
import struct
continue_flag = 1 << 7
def decode_signed_int(bytes):
mask = 0xFF >> 1
result = 0
shift = 0
for b in bytes:
result |= (b & mask) << shift
shift += 7
sign = 1 << 6
if b & sign:
result |= (~0 << shift)
return result
def decode_unsigned_int(bytes):
mask = 0xFF >> 1
result = 0
shift = 0
for b in bytes:
result |= (b & mask) << shift
shift += 7
return result
class SourcerError(Exception):
"""Common superclass for ParseError and PartialParseError."""
class ParseError(SourcerError):
def __init__(self, message, index, line, column):
super().__init__(message)
self.position = _Position(index, line, column)
class PartialParseError(SourcerError):
def __init__(self, partial_result, last_position, excerpt):
super().__init__('Incomplete parse. Unexpected input on line'
f' {last_position.line}, column {last_position.column}:\n{excerpt}')
self.partial_result = partial_result
self.last_position = last_position
class Infix(Node):
_fields = ('left', 'operator', 'right')
def __init__(self, left, operator, right):
Node.__init__(self)
self.left = left
self.operator = operator
self.right = right
def __repr__(self):
return f'Infix({self.left!r}, {self.operator!r}, {self.right!r})'
class Postfix(Node):
_fields = ('left', 'operator')
def __init__(self, left, operator):
Node.__init__(self)
self.left = left
self.operator = operator
def __repr__(self):
return f'Postfix({self.left!r}, {self.operator!r})'
class Prefix(Node):
_fields = ('operator', 'right')
def __init__(self, operator, right):
Node.__init__(self)
self.operator = operator
self.right = right
def __repr__(self):
return f'Prefix({self.operator!r}, {self.right!r})'
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_Module, fullparse)
_PositionInfo = _nt('_PositionInfo', 'start, end')
_Position = _nt('_Position', 'index, line, column')
class _ParseFunction(_nt('_ParseFunction', 'func, args, kwargs')):
def __call__(self, _text, _pos):
return self.func(_text, _pos, *self.args, **dict(self.kwargs))
class _StringLiteral(str):
def __call__(self, _text, _pos):
return self._parse_function(_text, _pos)
def _wrap_string_literal(string_value, parse_function):
result = _StringLiteral(string_value)
result._parse_function = parse_function
return result
class _ByteLiteral(int):
def __call__(self, _text, _pos):
return self._parse_function(_text, _pos)
def _wrap_byte_literal(byte_value, parse_function):
result = _ByteLiteral(byte_value)
result._parse_function = parse_function
return result
def _run(text, pos, start, fullparse):
memo = {}
result = None
key = (3, start, pos)
gtor = start(text, pos)
stack = [(key, gtor)]
while stack:
key, gtor = stack[-1]
result = gtor.send(result)
if result[0] != 3:
stack.pop()
memo[key] = result
elif result in memo:
result = memo[result]
else:
gtor = result[1](text, result[2])
stack.append((result, gtor))
result = None
if result[0]:
return _finalize_parse_info(text, result[1], result[2], fullparse)
else:
pos = result[2]
message = result[1](text, pos)
raise ParseError(message, pos)
def visit(node):
visited = set()
stack = [node]
while stack:
node = stack.pop()
if isinstance(node, (list, tuple)):
stack.extend(node)
elif isinstance(node, dict):
stack.extend(node.values())
elif isinstance(node, Node):
node_id = id(node)
if node_id in visited:
continue
visited.add(node_id)
yield node
if hasattr(node, '_fields'):
stack.extend(getattr(node, x) for x in node._fields)
_Traversing = _nt('_Traversing', 'parent, field, child, is_finished')
def traverse(node):
visited = set()
stack = [_Traversing(parent=None, field=None, child=node, is_finished=False)]
while stack:
traversing = stack.pop()
if traversing.is_finished:
yield traversing
continue
child = traversing.child
child_id = id(child)
if child_id in visited:
continue
visited.add(child_id)
stack.append(traversing._replace(is_finished=True))
yield traversing
def extend(items):
stack.extend(reversed(list(items)))
if isinstance(child, (list, tuple)):
extend(
_Traversing(parent=child, field=i, child=x, is_finished=False)
for i, x in enumerate(child)
)
elif isinstance(child, dict):
extend(
_Traversing(parent=child, field=k, child=v, is_finished=False)
for k, v in child.items()
)
elif isinstance(child, Node) and hasattr(child, '_fields'):
extend(
_Traversing(
parent=child,
field=x,
child=getattr(child, x),
is_finished=False,
)
for x in child._fields
)
def transform(node, *callbacks):
if not callbacks:
return node
if len(callbacks) == 1:
callback = callbacks[0]
else:
def callback(node):
for f in callbacks:
node = f(node)
return node
return _transform(node, callback)
def _transform(node, callback):
if isinstance(node, list):
return [_transform(x, callback) for x in node]
if not isinstance(node, Node):
return node
updates = {}
for field in node._fields:
was = getattr(node, field)
now = _transform(was, callback)
if now is not was:
updates[field] = now
if isinstance(was, Node) and isinstance(now, Node) and not now._metadata:
now._metadata.update(was._metadata)
if updates:
node = node._replace(**updates)
return callback(node)
def _finalize_parse_info(text, nodes, pos, fullparse):
line_numbers, column_numbers = _map_index_to_line_and_column(text)
for node in visit(nodes):
pos_info = node._metadata.position_info
if pos_info:
start, end = pos_info
end -= 1
node._metadata.position_info = _PositionInfo(
start=_Position(start, line_numbers[start], column_numbers[start]),
end=_Position(end, line_numbers[end], column_numbers[end]),
)
if fullparse and pos < len(text):
line, col = line_numbers[pos], column_numbers[pos]
position = _Position(pos, line, col)
excerpt = _extract_excerpt(text, pos, col)
raise PartialParseError(nodes, position, excerpt)
return nodes
def _extract_excerpt(text, pos, col):
if isinstance(text, bytes):
return repr(text[max(0, pos - 1) : pos + 2])
start = pos - (col - 1)
match = _compile_re('\n').search(text, pos + 1)
end = len(text) if match is None else match.start()
if end - start < 96:
return text[start : end] + _caret_at(col - 1)
if col < 60:
# Chop the line off at the end.
return text[start : start + 90] + ' ...' + _caret_at(col - 1)
elif end - pos < 40:
# Chop the line off at the start.
return '... ' + text[end - 90 : end] + _caret_at(pos - (end - 90) + 4)
else:
# Chop the line off at both ends.
return '... ' + text[pos - 42 : pos + 42] + ' ...' + _caret_at(42 + 4)
def _caret_at(index):
return '\n' + (' ' * index) + '^'
def _get_line_and_column(text, pos):
line_numbers, column_numbers = _map_index_to_line_and_column(text)
return line_numbers[pos], column_numbers[pos]
def _map_index_to_line_and_column(text):
line_numbers = []
column_numbers = []
current_line = 1
current_column = 0
for c in text:
if c == '\n':
current_line += 1
current_column = 0
else:
current_column += 1
line_numbers.append(current_line)
column_numbers.append(current_column)
return line_numbers, column_numbers
matcher1 = _compile_re(b'[\\x00-\\xFF]', flags=0).match
matcher2 = _compile_re(b'[\\x00-\\xFF]{4}', flags=0).match
matcher3 = _compile_re(b'[\\x00-\\xFF]{8}', flags=0).match
matcher4 = _compile_re(b'[\\x80-\\xFF]*[\\x00-\\x7F]', flags=0).match
class Module(Node):
"""
class Module {
let magic: b'\\x00asm'
let version: b'\\x01\\x00\\x00\\x00'
custom1: CustomSection*
type_section: Opt(TypeSection)
custom2: CustomSection*
import_section: Opt(ImportSection)
custom3: CustomSection*
function_section: Opt(FunctionSection)
custom4: CustomSection*
table_section: Opt(TableSection)
custom5: CustomSection*
memory_section: Opt(MemorySection)
custom6: CustomSection*
global_section: Opt(GlobalSection)
custom7: CustomSection*
export_section: Opt(ExportSection)
custom8: CustomSection*
start_section: Opt(StartSection)
custom9: CustomSection*
element_section: Opt(ElementSection)
custom10: CustomSection*
data_count_section: Opt(DataCountSection)
custom11: CustomSection*
code_section: Opt(CodeSection)
custom12: CustomSection*
data_section: Opt(DataSection)
custom13: CustomSection*
}
"""
_fields = ('custom1', 'type_section', 'custom2', 'import_section', 'custom3', 'function_section', 'custom4', 'table_section', 'custom5', 'memory_section', 'custom6', 'global_section', 'custom7', 'export_section', 'custom8', 'start_section', 'custom9', 'element_section', 'custom10', 'data_count_section', 'custom11', 'code_section', 'custom12', 'data_section', 'custom13')
magic = b'\x00asm'
version = b'\x01\x00\x00\x00'
def __init__(self, custom1, type_section, custom2, import_section, custom3, function_section, custom4, table_section, custom5, memory_section, custom6, global_section, custom7, export_section, custom8, start_section, custom9, element_section, custom10, data_count_section, custom11, code_section, custom12, data_section, custom13):
Node.__init__(self)
self.custom1 = custom1
self.type_section = type_section
self.custom2 = custom2
self.import_section = import_section
self.custom3 = custom3
self.function_section = function_section
self.custom4 = custom4
self.table_section = table_section
self.custom5 = custom5
self.memory_section = memory_section
self.custom6 = custom6
self.global_section = global_section
self.custom7 = custom7
self.export_section = export_section
self.custom8 = custom8
self.start_section = start_section
self.custom9 = custom9
self.element_section = element_section
self.custom10 = custom10
self.data_count_section = data_count_section
self.custom11 = custom11
self.code_section = code_section
self.custom12 = custom12
self.data_section = data_section
self.custom13 = custom13
def __repr__(self):
return f'Module(custom1={self.custom1!r}, type_section={self.type_section!r}, custom2={self.custom2!r}, import_section={self.import_section!r}, custom3={self.custom3!r}, function_section={self.function_section!r}, custom4={self.custom4!r}, table_section={self.table_section!r}, custom5={self.custom5!r}, memory_section={self.memory_section!r}, custom6={self.custom6!r}, global_section={self.global_section!r}, custom7={self.custom7!r}, export_section={self.export_section!r}, custom8={self.custom8!r}, start_section={self.start_section!r}, custom9={self.custom9!r}, element_section={self.element_section!r}, custom10={self.custom10!r}, data_count_section={self.data_count_section!r}, custom11={self.custom11!r}, code_section={self.code_section!r}, custom12={self.custom12!r}, data_section={self.data_section!r}, custom13={self.custom13!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_Module, fullparse)
def _try_Module(_text, _pos):
# Begin Seq
start_pos1 = _pos
while True:
# Begin Str
value1 = b'\x00asm'
end1 = (_pos + 4)
if (_text[slice(_pos, end1, None)] == value1):
_result = value1
_pos = end1
_status = True
else:
_result = _raise_error4
_status = False
# End Str
if not (_status):
break
magic = _result
# Begin Str
value2 = b'\x01\x00\x00\x00'
end2 = (_pos + 4)
if (_text[slice(_pos, end2, None)] == value2):
_result = value2
_pos = end2
_status = True
else:
_result = _raise_error6
_status = False
# End Str
if not (_status):
break
version = _result
# Begin List
# CustomSection*
staging1 = []
while True:
checkpoint1 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint1
break
staging1.append(_result)
_result = staging1
_status = True
# End List
custom1 = _result
# Begin Opt
# Opt(TypeSection)
backtrack1 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TypeSection, _pos))
# End Ref
if not (_status):
_pos = backtrack1
_result = None
_status = True
# End Opt
type_section = _result
# Begin List
# CustomSection*
staging2 = []
while True:
checkpoint2 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint2
break
staging2.append(_result)
_result = staging2
_status = True
# End List
custom2 = _result
# Begin Opt
# Opt(ImportSection)
backtrack2 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ImportSection, _pos))
# End Ref
if not (_status):
_pos = backtrack2
_result = None
_status = True
# End Opt
import_section = _result
# Begin List
# CustomSection*
staging3 = []
while True:
checkpoint3 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint3
break
staging3.append(_result)
_result = staging3
_status = True
# End List
custom3 = _result
# Begin Opt
# Opt(FunctionSection)
backtrack3 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_FunctionSection, _pos))
# End Ref
if not (_status):
_pos = backtrack3
_result = None
_status = True
# End Opt
function_section = _result
# Begin List
# CustomSection*
staging4 = []
while True:
checkpoint4 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint4
break
staging4.append(_result)
_result = staging4
_status = True
# End List
custom4 = _result
# Begin Opt
# Opt(TableSection)
backtrack4 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableSection, _pos))
# End Ref
if not (_status):
_pos = backtrack4
_result = None
_status = True
# End Opt
table_section = _result
# Begin List
# CustomSection*
staging5 = []
while True:
checkpoint5 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint5
break
staging5.append(_result)
_result = staging5
_status = True
# End List
custom5 = _result
# Begin Opt
# Opt(MemorySection)
backtrack5 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_MemorySection, _pos))
# End Ref
if not (_status):
_pos = backtrack5
_result = None
_status = True
# End Opt
memory_section = _result
# Begin List
# CustomSection*
staging6 = []
while True:
checkpoint6 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint6
break
staging6.append(_result)
_result = staging6
_status = True
# End List
custom6 = _result
# Begin Opt
# Opt(GlobalSection)
backtrack6 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_GlobalSection, _pos))
# End Ref
if not (_status):
_pos = backtrack6
_result = None
_status = True
# End Opt
global_section = _result
# Begin List
# CustomSection*
staging7 = []
while True:
checkpoint7 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint7
break
staging7.append(_result)
_result = staging7
_status = True
# End List
custom7 = _result
# Begin Opt
# Opt(ExportSection)
backtrack7 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ExportSection, _pos))
# End Ref
if not (_status):
_pos = backtrack7
_result = None
_status = True
# End Opt
export_section = _result
# Begin List
# CustomSection*
staging8 = []
while True:
checkpoint8 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint8
break
staging8.append(_result)
_result = staging8
_status = True
# End List
custom8 = _result
# Begin Opt
# Opt(StartSection)
backtrack8 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_StartSection, _pos))
# End Ref
if not (_status):
_pos = backtrack8
_result = None
_status = True
# End Opt
start_section = _result
# Begin List
# CustomSection*
staging9 = []
while True:
checkpoint9 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint9
break
staging9.append(_result)
_result = staging9
_status = True
# End List
custom9 = _result
# Begin Opt
# Opt(ElementSection)
backtrack9 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ElementSection, _pos))
# End Ref
if not (_status):
_pos = backtrack9
_result = None
_status = True
# End Opt
element_section = _result
# Begin List
# CustomSection*
staging10 = []
while True:
checkpoint10 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint10
break
staging10.append(_result)
_result = staging10
_status = True
# End List
custom10 = _result
# Begin Opt
# Opt(DataCountSection)
backtrack10 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_DataCountSection, _pos))
# End Ref
if not (_status):
_pos = backtrack10
_result = None
_status = True
# End Opt
data_count_section = _result
# Begin List
# CustomSection*
staging11 = []
while True:
checkpoint11 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint11
break
staging11.append(_result)
_result = staging11
_status = True
# End List
custom11 = _result
# Begin Opt
# Opt(CodeSection)
backtrack11 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CodeSection, _pos))
# End Ref
if not (_status):
_pos = backtrack11
_result = None
_status = True
# End Opt
code_section = _result
# Begin List
# CustomSection*
staging12 = []
while True:
checkpoint12 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint12
break
staging12.append(_result)
_result = staging12
_status = True
# End List
custom12 = _result
# Begin Opt
# Opt(DataSection)
backtrack12 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_DataSection, _pos))
# End Ref
if not (_status):
_pos = backtrack12
_result = None
_status = True
# End Opt
data_section = _result
# Begin List
# CustomSection*
staging13 = []
while True:
checkpoint13 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_CustomSection, _pos))
# End Ref
if not (_status):
_pos = checkpoint13
break
staging13.append(_result)
_result = staging13
_status = True
# End List
custom13 = _result
_result = Module(custom1, type_section, custom2, import_section, custom3, function_section, custom4, table_section, custom5, memory_section, custom6, global_section, custom7, export_section, custom8, start_section, custom9, element_section, custom10, data_count_section, custom11, code_section, custom12, data_section, custom13)
_result._metadata.position_info = (start_pos1, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error4(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'Module' rule, at the expression:\n"
" b'\\x00asm'\n\n"
"Expected to match the string b'\\x00asm'"
)
raise ParseError((title + details), _pos, line, col)
def _raise_error6(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'Module' rule, at the expression:\n"
" b'\\x01\\x00\\x00\\x00'\n\n"
"Expected to match the string b'\\x01\\x00\\x00\\x00'"
)
raise ParseError((title + details), _pos, line, col)
class CustomSection(Node):
"""
class CustomSection {
let id: 0x0
let size: u32
let loc: LocatedName
let remaining: `size - (loc.end - loc.start)`
name: `loc.name`
body: ByteString(remaining)
}
"""
_fields = ('name', 'body')
id = 0x0
def __init__(self, name, body):
Node.__init__(self)
self.name = name
self.body = body
def __repr__(self):
return f'CustomSection(name={self.name!r}, body={self.body!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_CustomSection, fullparse)
def _try_CustomSection(_text, _pos):
# Begin Seq
start_pos2 = _pos
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error85
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_LocatedName, _pos))
# End Ref
if not (_status):
break
loc = _result
_result = size - (loc.end - loc.start)
_status = True
remaining = _result
_result = loc.name
_status = True
name = _result
# Begin Call
# ByteString(remaining)
func1 = _ParseFunction(_try_ByteString, (remaining,), ())
(_status, _result, _pos) = (yield (3, func1, _pos))
# End Call
if not (_status):
break
body = _result
_result = CustomSection(name, body)
_result._metadata.position_info = (start_pos2, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error85(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'CustomSection' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class TypeSection(Node):
"""
class TypeSection {
let id: 0x1
let size: u32
function_types: vec(FunctionType)
}
"""
_fields = ('function_types',)
id = 0x1
def __init__(self, function_types):
Node.__init__(self)
self.function_types = function_types
def __repr__(self):
return f'TypeSection(function_types={self.function_types!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_TypeSection, fullparse)
def _try_TypeSection(_text, _pos):
# Begin Seq
start_pos3 = _pos
while True:
# Begin Byte
# 0x1
if (_pos < len(_text)) and (_text[_pos] == 1):
_result = 1
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error101
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(FunctionType)
func2 = _ParseFunction(_try_vec, (_try_FunctionType,), ())
(_status, _result, _pos) = (yield (3, func2, _pos))
# End Call
if not (_status):
break
function_types = _result
_result = TypeSection(function_types)
_result._metadata.position_info = (start_pos3, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error101(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'TypeSection' rule, at the expression:\n"
' 0x1\n\n'
'Expected to match the byte value 0x1'
)
raise ParseError((title + details), _pos, line, col)
class ImportSection(Node):
"""
class ImportSection {
let id: 0x2
let size: u32
imports: vec(Import)
}
"""
_fields = ('imports',)
id = 0x2
def __init__(self, imports):
Node.__init__(self)
self.imports = imports
def __repr__(self):
return f'ImportSection(imports={self.imports!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ImportSection, fullparse)
def _try_ImportSection(_text, _pos):
# Begin Seq
start_pos4 = _pos
while True:
# Begin Byte
# 0x2
if (_pos < len(_text)) and (_text[_pos] == 2):
_result = 2
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error111
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(Import)
func3 = _ParseFunction(_try_vec, (_try_Import,), ())
(_status, _result, _pos) = (yield (3, func3, _pos))
# End Call
if not (_status):
break
imports = _result
_result = ImportSection(imports)
_result._metadata.position_info = (start_pos4, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error111(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ImportSection' rule, at the expression:\n"
' 0x2\n\n'
'Expected to match the byte value 0x2'
)
raise ParseError((title + details), _pos, line, col)
class FunctionSection(Node):
"""
class FunctionSection {
let id: 0x3
let size: u32
type_indexes: vec(TypeIndex)
}
"""
_fields = ('type_indexes',)
id = 0x3
def __init__(self, type_indexes):
Node.__init__(self)
self.type_indexes = type_indexes
def __repr__(self):
return f'FunctionSection(type_indexes={self.type_indexes!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_FunctionSection, fullparse)
def _try_FunctionSection(_text, _pos):
# Begin Seq
start_pos5 = _pos
while True:
# Begin Byte
# 0x3
if (_pos < len(_text)) and (_text[_pos] == 3):
_result = 3
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error121
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(TypeIndex)
func4 = _ParseFunction(_try_vec, (_try_TypeIndex,), ())
(_status, _result, _pos) = (yield (3, func4, _pos))
# End Call
if not (_status):
break
type_indexes = _result
_result = FunctionSection(type_indexes)
_result._metadata.position_info = (start_pos5, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error121(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'FunctionSection' rule, at the expression:\n"
' 0x3\n\n'
'Expected to match the byte value 0x3'
)
raise ParseError((title + details), _pos, line, col)
class TableSection(Node):
"""
class TableSection {
let id: 0x4
let size: u32
table_types: vec(TableType)
}
"""
_fields = ('table_types',)
id = 0x4
def __init__(self, table_types):
Node.__init__(self)
self.table_types = table_types
def __repr__(self):
return f'TableSection(table_types={self.table_types!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_TableSection, fullparse)
def _try_TableSection(_text, _pos):
# Begin Seq
start_pos6 = _pos
while True:
# Begin Byte
# 0x4
if (_pos < len(_text)) and (_text[_pos] == 4):
_result = 4
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error131
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(TableType)
func5 = _ParseFunction(_try_vec, (_try_TableType,), ())
(_status, _result, _pos) = (yield (3, func5, _pos))
# End Call
if not (_status):
break
table_types = _result
_result = TableSection(table_types)
_result._metadata.position_info = (start_pos6, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error131(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'TableSection' rule, at the expression:\n"
' 0x4\n\n'
'Expected to match the byte value 0x4'
)
raise ParseError((title + details), _pos, line, col)
class MemorySection(Node):
"""
class MemorySection {
let id: 0x5
let size: u32
memory_types: vec(MemoryType)
}
"""
_fields = ('memory_types',)
id = 0x5
def __init__(self, memory_types):
Node.__init__(self)
self.memory_types = memory_types
def __repr__(self):
return f'MemorySection(memory_types={self.memory_types!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_MemorySection, fullparse)
def _try_MemorySection(_text, _pos):
# Begin Seq
start_pos7 = _pos
while True:
# Begin Byte
# 0x5
if (_pos < len(_text)) and (_text[_pos] == 5):
_result = 5
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error141
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(MemoryType)
func6 = _ParseFunction(_try_vec, (_try_MemoryType,), ())
(_status, _result, _pos) = (yield (3, func6, _pos))
# End Call
if not (_status):
break
memory_types = _result
_result = MemorySection(memory_types)
_result._metadata.position_info = (start_pos7, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error141(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'MemorySection' rule, at the expression:\n"
' 0x5\n\n'
'Expected to match the byte value 0x5'
)
raise ParseError((title + details), _pos, line, col)
class GlobalSection(Node):
"""
class GlobalSection {
let id: 0x6
let size: u32
globals: vec(Global)
}
"""
_fields = ('globals',)
id = 0x6
def __init__(self, globals):
Node.__init__(self)
self.globals = globals
def __repr__(self):
return f'GlobalSection(globals={self.globals!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_GlobalSection, fullparse)
def _try_GlobalSection(_text, _pos):
# Begin Seq
start_pos8 = _pos
while True:
# Begin Byte
# 0x6
if (_pos < len(_text)) and (_text[_pos] == 6):
_result = 6
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error151
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(Global)
func7 = _ParseFunction(_try_vec, (_try_Global,), ())
(_status, _result, _pos) = (yield (3, func7, _pos))
# End Call
if not (_status):
break
globals = _result
_result = GlobalSection(globals)
_result._metadata.position_info = (start_pos8, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error151(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'GlobalSection' rule, at the expression:\n"
' 0x6\n\n'
'Expected to match the byte value 0x6'
)
raise ParseError((title + details), _pos, line, col)
class ExportSection(Node):
"""
class ExportSection {
let id: 0x7
let size: u32
exports: vec(Export)
}
"""
_fields = ('exports',)
id = 0x7
def __init__(self, exports):
Node.__init__(self)
self.exports = exports
def __repr__(self):
return f'ExportSection(exports={self.exports!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ExportSection, fullparse)
def _try_ExportSection(_text, _pos):
# Begin Seq
start_pos9 = _pos
while True:
# Begin Byte
# 0x7
if (_pos < len(_text)) and (_text[_pos] == 7):
_result = 7
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error161
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(Export)
func8 = _ParseFunction(_try_vec, (_try_Export,), ())
(_status, _result, _pos) = (yield (3, func8, _pos))
# End Call
if not (_status):
break
exports = _result
_result = ExportSection(exports)
_result._metadata.position_info = (start_pos9, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error161(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ExportSection' rule, at the expression:\n"
' 0x7\n\n'
'Expected to match the byte value 0x7'
)
raise ParseError((title + details), _pos, line, col)
class StartSection(Node):
"""
class StartSection {
let id: 0x8
let size: u32
index: FunctionIndex
}
"""
_fields = ('index',)
id = 0x8
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'StartSection(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_StartSection, fullparse)
def _try_StartSection(_text, _pos):
# Begin Seq
start_pos10 = _pos
while True:
# Begin Byte
# 0x8
if (_pos < len(_text)) and (_text[_pos] == 8):
_result = 8
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error171
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_FunctionIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = StartSection(index)
_result._metadata.position_info = (start_pos10, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error171(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'StartSection' rule, at the expression:\n"
' 0x8\n\n'
'Expected to match the byte value 0x8'
)
raise ParseError((title + details), _pos, line, col)
class ElementSection(Node):
"""
class ElementSection {
let id: 0x9
let size: u32
segments: vec(ElementSegment)
}
"""
_fields = ('segments',)
id = 0x9
def __init__(self, segments):
Node.__init__(self)
self.segments = segments
def __repr__(self):
return f'ElementSection(segments={self.segments!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ElementSection, fullparse)
def _try_ElementSection(_text, _pos):
# Begin Seq
start_pos11 = _pos
while True:
# Begin Byte
# 0x9
if (_pos < len(_text)) and (_text[_pos] == 9):
_result = 9
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error179
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(ElementSegment)
func9 = _ParseFunction(_try_vec, (_try_ElementSegment,), ())
(_status, _result, _pos) = (yield (3, func9, _pos))
# End Call
if not (_status):
break
segments = _result
_result = ElementSection(segments)
_result._metadata.position_info = (start_pos11, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error179(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ElementSection' rule, at the expression:\n"
' 0x9\n\n'
'Expected to match the byte value 0x9'
)
raise ParseError((title + details), _pos, line, col)
class DataCountSection(Node):
"""
class DataCountSection {
let id: 0xc
let size: u32
count: Opt(u32 where `lambda _: size > 0`)
}
"""
_fields = ('count',)
id = 0xc
def __init__(self, count):
Node.__init__(self)
self.count = count
def __repr__(self):
return f'DataCountSection(count={self.count!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_DataCountSection, fullparse)
def _try_DataCountSection(_text, _pos):
# Begin Seq
start_pos12 = _pos
while True:
# Begin Byte
# 0xc
if (_pos < len(_text)) and (_text[_pos] == 12):
_result = 12
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error189
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Opt
# Opt(u32 where `lambda _: size > 0`)
backtrack13 = _pos
# Begin Where
# u32 where `lambda _: size > 0`
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if _status:
arg1 = _result
_result = lambda _: size > 0
_status = True
if _result(arg1):
_result = arg1
else:
_result = _raise_error194
_status = False
# End Where
if not (_status):
_pos = backtrack13
_result = None
_status = True
# End Opt
count = _result
_result = DataCountSection(count)
_result._metadata.position_info = (start_pos12, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error189(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'DataCountSection' rule, at the expression:\n"
' 0xc\n\n'
'Expected to match the byte value 0xc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error194(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'DataCountSection' rule, at the expression:\n"
' u32 where `lambda _: size > 0`\n\n'
'Expected to satisfy the predicate: `lambda _: size > 0`'
)
raise ParseError((title + details), _pos, line, col)
class CodeSection(Node):
"""
class CodeSection {
let id: 0xa
let size: u32
entries: vec(CodeEntry)
}
"""
_fields = ('entries',)
id = 0xa
def __init__(self, entries):
Node.__init__(self)
self.entries = entries
def __repr__(self):
return f'CodeSection(entries={self.entries!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_CodeSection, fullparse)
def _try_CodeSection(_text, _pos):
# Begin Seq
start_pos13 = _pos
while True:
# Begin Byte
# 0xa
if (_pos < len(_text)) and (_text[_pos] == 10):
_result = 10
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error200
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(CodeEntry)
func10 = _ParseFunction(_try_vec, (_try_CodeEntry,), ())
(_status, _result, _pos) = (yield (3, func10, _pos))
# End Call
if not (_status):
break
entries = _result
_result = CodeSection(entries)
_result._metadata.position_info = (start_pos13, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error200(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'CodeSection' rule, at the expression:\n"
' 0xa\n\n'
'Expected to match the byte value 0xa'
)
raise ParseError((title + details), _pos, line, col)
class DataSection(Node):
"""
class DataSection {
let id: 0xb
let size: u32
segments: vec(DefaultDataSegment | PassiveDataSegment | ActiveDataSegment)
}
"""
_fields = ('segments',)
id = 0xb
def __init__(self, segments):
Node.__init__(self)
self.segments = segments
def __repr__(self):
return f'DataSection(segments={self.segments!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_DataSection, fullparse)
def _parse_function_216(_text, _pos):
# Begin Choice
farthest_err1 = _raise_error216
backtrack14 = farthest_pos1 = _pos
while True:
# Option 1:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_DefaultDataSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos1 < _pos):
farthest_pos1 = _pos
farthest_err1 = _result
_pos = backtrack14
# Option 2:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_PassiveDataSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos1 < _pos):
farthest_pos1 = _pos
farthest_err1 = _result
_pos = backtrack14
# Option 3:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ActiveDataSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos1 < _pos):
farthest_pos1 = _pos
farthest_err1 = _result
_pos = farthest_pos1
_result = farthest_err1
break
# End Choice
yield (_status, _result, _pos)
def _try_DataSection(_text, _pos):
# Begin Seq
start_pos14 = _pos
while True:
# Begin Byte
# 0xb
if (_pos < len(_text)) and (_text[_pos] == 11):
_result = 11
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error210
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(DefaultDataSegment | PassiveDataSegment | ActiveDataSegment)
func11 = _ParseFunction(_try_vec, (_parse_function_216,), ())
(_status, _result, _pos) = (yield (3, func11, _pos))
# End Call
if not (_status):
break
segments = _result
_result = DataSection(segments)
_result._metadata.position_info = (start_pos14, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error210(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'DataSection' rule, at the expression:\n"
' 0xb\n\n'
'Expected to match the byte value 0xb'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error216(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'DataSection' rule, at the expression:\n"
' DefaultDataSegment | PassiveDataSegment | ActiveDataSegment\n\n'
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
class Global(Node):
"""
class Global {
type: GlobalType
initializer: Expression
}
"""
_fields = ('type', 'initializer')
def __init__(self, type, initializer):
Node.__init__(self)
self.type = type
self.initializer = initializer
def __repr__(self):
return f'Global(type={self.type!r}, initializer={self.initializer!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_Global, fullparse)
def _try_Global(_text, _pos):
# Begin Seq
start_pos15 = _pos
while True:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_GlobalType, _pos))
# End Ref
if not (_status):
break
type = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Expression, _pos))
# End Ref
if not (_status):
break
initializer = _result
_result = Global(type, initializer)
_result._metadata.position_info = (start_pos15, _pos)
break
# End Seq
yield (_status, _result, _pos)
class Import(Node):
"""
class Import {
module: Name
name: Name
descriptor: ImportFunc | ImportTable | ImportMemory | ImportGlobal
}
"""
_fields = ('module', 'name', 'descriptor')
def __init__(self, module, name, descriptor):
Node.__init__(self)
self.module = module
self.name = name
self.descriptor = descriptor
def __repr__(self):
return f'Import(module={self.module!r}, name={self.name!r}, descriptor={self.descriptor!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_Import, fullparse)
def _try_Import(_text, _pos):
# Begin Seq
start_pos16 = _pos
while True:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Name, _pos))
# End Ref
if not (_status):
break
module = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Name, _pos))
# End Ref
if not (_status):
break
name = _result
# Begin Choice
farthest_err2 = _raise_error233
backtrack15 = farthest_pos2 = _pos
while True:
# Option 1:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ImportFunc, _pos))
# End Ref
if _status:
break
if (farthest_pos2 < _pos):
farthest_pos2 = _pos
farthest_err2 = _result
_pos = backtrack15
# Option 2:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ImportTable, _pos))
# End Ref
if _status:
break
if (farthest_pos2 < _pos):
farthest_pos2 = _pos
farthest_err2 = _result
_pos = backtrack15
# Option 3:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ImportMemory, _pos))
# End Ref
if _status:
break
if (farthest_pos2 < _pos):
farthest_pos2 = _pos
farthest_err2 = _result
_pos = backtrack15
# Option 4:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ImportGlobal, _pos))
# End Ref
if _status:
break
if (farthest_pos2 < _pos):
farthest_pos2 = _pos
farthest_err2 = _result
_pos = farthest_pos2
_result = farthest_err2
break
# End Choice
if not (_status):
break
descriptor = _result
_result = Import(module, name, descriptor)
_result._metadata.position_info = (start_pos16, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error233(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'Import' rule, at the expression:\n"
' ImportFunc | ImportTable | ImportMemory | ImportGlobal\n\n'
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
class ImportFunc(Node):
"""
class ImportFunc {
let id: 0x0
type: TypeIndex
}
"""
_fields = ('type',)
id = 0x0
def __init__(self, type):
Node.__init__(self)
self.type = type
def __repr__(self):
return f'ImportFunc(type={self.type!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ImportFunc, fullparse)
def _try_ImportFunc(_text, _pos):
# Begin Seq
start_pos17 = _pos
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error241
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TypeIndex, _pos))
# End Ref
if not (_status):
break
type = _result
_result = ImportFunc(type)
_result._metadata.position_info = (start_pos17, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error241(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ImportFunc' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class ImportTable(Node):
"""
class ImportTable {
let id: 0x1
type: TableType
}
"""
_fields = ('type',)
id = 0x1
def __init__(self, type):
Node.__init__(self)
self.type = type
def __repr__(self):
return f'ImportTable(type={self.type!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ImportTable, fullparse)
def _try_ImportTable(_text, _pos):
# Begin Seq
start_pos18 = _pos
while True:
# Begin Byte
# 0x1
if (_pos < len(_text)) and (_text[_pos] == 1):
_result = 1
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error247
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableType, _pos))
# End Ref
if not (_status):
break
type = _result
_result = ImportTable(type)
_result._metadata.position_info = (start_pos18, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error247(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ImportTable' rule, at the expression:\n"
' 0x1\n\n'
'Expected to match the byte value 0x1'
)
raise ParseError((title + details), _pos, line, col)
class ImportMemory(Node):
"""
class ImportMemory {
let id: 0x2
type: MemoryType
}
"""
_fields = ('type',)
id = 0x2
def __init__(self, type):
Node.__init__(self)
self.type = type
def __repr__(self):
return f'ImportMemory(type={self.type!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ImportMemory, fullparse)
def _try_ImportMemory(_text, _pos):
# Begin Seq
start_pos19 = _pos
while True:
# Begin Byte
# 0x2
if (_pos < len(_text)) and (_text[_pos] == 2):
_result = 2
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error253
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_MemoryType, _pos))
# End Ref
if not (_status):
break
type = _result
_result = ImportMemory(type)
_result._metadata.position_info = (start_pos19, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error253(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ImportMemory' rule, at the expression:\n"
' 0x2\n\n'
'Expected to match the byte value 0x2'
)
raise ParseError((title + details), _pos, line, col)
class ImportGlobal(Node):
"""
class ImportGlobal {
let id: 0x3
type: GlobalType
}
"""
_fields = ('type',)
id = 0x3
def __init__(self, type):
Node.__init__(self)
self.type = type
def __repr__(self):
return f'ImportGlobal(type={self.type!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ImportGlobal, fullparse)
def _try_ImportGlobal(_text, _pos):
# Begin Seq
start_pos20 = _pos
while True:
# Begin Byte
# 0x3
if (_pos < len(_text)) and (_text[_pos] == 3):
_result = 3
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error259
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_GlobalType, _pos))
# End Ref
if not (_status):
break
type = _result
_result = ImportGlobal(type)
_result._metadata.position_info = (start_pos20, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error259(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ImportGlobal' rule, at the expression:\n"
' 0x3\n\n'
'Expected to match the byte value 0x3'
)
raise ParseError((title + details), _pos, line, col)
class Export(Node):
"""
class Export {
name: Name
descriptor: ExportFunc | ExportTable | ExportMemory | ExportGlobal
}
"""
_fields = ('name', 'descriptor')
def __init__(self, name, descriptor):
Node.__init__(self)
self.name = name
self.descriptor = descriptor
def __repr__(self):
return f'Export(name={self.name!r}, descriptor={self.descriptor!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_Export, fullparse)
def _try_Export(_text, _pos):
# Begin Seq
start_pos21 = _pos
while True:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Name, _pos))
# End Ref
if not (_status):
break
name = _result
# Begin Choice
farthest_err3 = _raise_error267
backtrack16 = farthest_pos3 = _pos
while True:
# Option 1:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ExportFunc, _pos))
# End Ref
if _status:
break
if (farthest_pos3 < _pos):
farthest_pos3 = _pos
farthest_err3 = _result
_pos = backtrack16
# Option 2:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ExportTable, _pos))
# End Ref
if _status:
break
if (farthest_pos3 < _pos):
farthest_pos3 = _pos
farthest_err3 = _result
_pos = backtrack16
# Option 3:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ExportMemory, _pos))
# End Ref
if _status:
break
if (farthest_pos3 < _pos):
farthest_pos3 = _pos
farthest_err3 = _result
_pos = backtrack16
# Option 4:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ExportGlobal, _pos))
# End Ref
if _status:
break
if (farthest_pos3 < _pos):
farthest_pos3 = _pos
farthest_err3 = _result
_pos = farthest_pos3
_result = farthest_err3
break
# End Choice
if not (_status):
break
descriptor = _result
_result = Export(name, descriptor)
_result._metadata.position_info = (start_pos21, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error267(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'Export' rule, at the expression:\n"
' ExportFunc | ExportTable | ExportMemory | ExportGlobal\n\n'
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
class ExportFunc(Node):
"""
class ExportFunc {
let id: 0x0
index: FunctionIndex
}
"""
_fields = ('index',)
id = 0x0
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'ExportFunc(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ExportFunc, fullparse)
def _try_ExportFunc(_text, _pos):
# Begin Seq
start_pos22 = _pos
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error275
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_FunctionIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = ExportFunc(index)
_result._metadata.position_info = (start_pos22, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error275(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ExportFunc' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class ExportTable(Node):
"""
class ExportTable {
let id: 0x1
index: TableIndex
}
"""
_fields = ('index',)
id = 0x1
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'ExportTable(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ExportTable, fullparse)
def _try_ExportTable(_text, _pos):
# Begin Seq
start_pos23 = _pos
while True:
# Begin Byte
# 0x1
if (_pos < len(_text)) and (_text[_pos] == 1):
_result = 1
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error281
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = ExportTable(index)
_result._metadata.position_info = (start_pos23, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error281(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ExportTable' rule, at the expression:\n"
' 0x1\n\n'
'Expected to match the byte value 0x1'
)
raise ParseError((title + details), _pos, line, col)
class ExportMemory(Node):
"""
class ExportMemory {
let id: 0x2
index: MemoryIndex
}
"""
_fields = ('index',)
id = 0x2
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'ExportMemory(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ExportMemory, fullparse)
def _try_ExportMemory(_text, _pos):
# Begin Seq
start_pos24 = _pos
while True:
# Begin Byte
# 0x2
if (_pos < len(_text)) and (_text[_pos] == 2):
_result = 2
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error287
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_MemoryIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = ExportMemory(index)
_result._metadata.position_info = (start_pos24, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error287(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ExportMemory' rule, at the expression:\n"
' 0x2\n\n'
'Expected to match the byte value 0x2'
)
raise ParseError((title + details), _pos, line, col)
class ExportGlobal(Node):
"""
class ExportGlobal {
let id: 0x3
index: GlobalIndex
}
"""
_fields = ('index',)
id = 0x3
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'ExportGlobal(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ExportGlobal, fullparse)
def _try_ExportGlobal(_text, _pos):
# Begin Seq
start_pos25 = _pos
while True:
# Begin Byte
# 0x3
if (_pos < len(_text)) and (_text[_pos] == 3):
_result = 3
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error293
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_GlobalIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = ExportGlobal(index)
_result._metadata.position_info = (start_pos25, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error293(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ExportGlobal' rule, at the expression:\n"
' 0x3\n\n'
'Expected to match the byte value 0x3'
)
raise ParseError((title + details), _pos, line, col)
def _try_ElementSegment(_text, _pos):
# Rule 'ElementSegment'
# Begin Choice
farthest_err4 = _raise_error297
backtrack17 = farthest_pos4 = _pos
while True:
# Option 1:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_DefaultSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos4 < _pos):
farthest_pos4 = _pos
farthest_err4 = _result
_pos = backtrack17
# Option 2:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_PassiveFuncRefSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos4 < _pos):
farthest_pos4 = _pos
farthest_err4 = _result
_pos = backtrack17
# Option 3:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ActiveFuncRefSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos4 < _pos):
farthest_pos4 = _pos
farthest_err4 = _result
_pos = backtrack17
# Option 4:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_DeclarativeFuncRefSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos4 < _pos):
farthest_pos4 = _pos
farthest_err4 = _result
_pos = backtrack17
# Option 5:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_DefaultExpressionSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos4 < _pos):
farthest_pos4 = _pos
farthest_err4 = _result
_pos = backtrack17
# Option 6:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_PassiveExpressionSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos4 < _pos):
farthest_pos4 = _pos
farthest_err4 = _result
_pos = backtrack17
# Option 7:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ActiveExpressionSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos4 < _pos):
farthest_pos4 = _pos
farthest_err4 = _result
_pos = backtrack17
# Option 8:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_DeclarativeExpressionSegment, _pos))
# End Ref
if _status:
break
if (farthest_pos4 < _pos):
farthest_pos4 = _pos
farthest_err4 = _result
_pos = farthest_pos4
_result = farthest_err4
break
# End Choice
yield (_status, _result, _pos)
def _parse_ElementSegment(text, pos=0, fullparse=True):
return _run(text, pos, _try_ElementSegment, fullparse)
ElementSegment = Rule('ElementSegment', _parse_ElementSegment, """
ElementSegment = DefaultSegment | PassiveFuncRefSegment | ActiveFuncRefSegment | DeclarativeFuncRefSegment | DefaultExpressionSegment | PassiveExpressionSegment | ActiveExpressionSegment | DeclarativeExpressionSegment
""")
def _raise_error297(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ElementSegment' rule, at the expression:\n"
' DefaultSegment | PassiveFuncRefSegment | ActiveFuncRefSegment | DeclarativeFuncRefSegment | DefaultExpressionSegment | PassiveExpressionSegment | ActiveExpressionSegment | DeclarativeExpressionSegment\n\n'
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
class DefaultSegment(Node):
"""
class DefaultSegment {
let id: 0x0
offset: Expression
function_indexes: vec(FunctionIndex)
}
"""
_fields = ('offset', 'function_indexes')
id = 0x0
def __init__(self, offset, function_indexes):
Node.__init__(self)
self.offset = offset
self.function_indexes = function_indexes
def __repr__(self):
return f'DefaultSegment(offset={self.offset!r}, function_indexes={self.function_indexes!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_DefaultSegment, fullparse)
def _try_DefaultSegment(_text, _pos):
# Begin Seq
start_pos26 = _pos
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error309
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Expression, _pos))
# End Ref
if not (_status):
break
offset = _result
# Begin Call
# vec(FunctionIndex)
func12 = _ParseFunction(_try_vec, (_try_FunctionIndex,), ())
(_status, _result, _pos) = (yield (3, func12, _pos))
# End Call
if not (_status):
break
function_indexes = _result
_result = DefaultSegment(offset, function_indexes)
_result._metadata.position_info = (start_pos26, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error309(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'DefaultSegment' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class PassiveFuncRefSegment(Node):
"""
class PassiveFuncRefSegment {
let id: 0x1
type: 0x0 >> `'funcref'`
function_indexes: vec(FunctionIndex)
}
"""
_fields = ('type', 'function_indexes')
id = 0x1
def __init__(self, type, function_indexes):
Node.__init__(self)
self.type = type
self.function_indexes = function_indexes
def __repr__(self):
return f'PassiveFuncRefSegment(type={self.type!r}, function_indexes={self.function_indexes!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_PassiveFuncRefSegment, fullparse)
def _try_PassiveFuncRefSegment(_text, _pos):
# Begin Seq
start_pos27 = _pos
while True:
# Begin Byte
# 0x1
if (_pos < len(_text)) and (_text[_pos] == 1):
_result = 1
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error319
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Discard
# 0x0 >> `'funcref'`
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error322
_status = False
# End Byte
if not (_status):
break
_result = 'funcref'
_status = True
break
# End Discard
if not (_status):
break
type = _result
# Begin Call
# vec(FunctionIndex)
func13 = _ParseFunction(_try_vec, (_try_FunctionIndex,), ())
(_status, _result, _pos) = (yield (3, func13, _pos))
# End Call
if not (_status):
break
function_indexes = _result
_result = PassiveFuncRefSegment(type, function_indexes)
_result._metadata.position_info = (start_pos27, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error319(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'PassiveFuncRefSegment' rule, at the expression:\n"
' 0x1\n\n'
'Expected to match the byte value 0x1'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error322(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'PassiveFuncRefSegment' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class ActiveFuncRefSegment(Node):
"""
class ActiveFuncRefSegment {
let id: 0x2
table_index: TableIndex
offset: Expression
type: 0x0 >> `'funcref'`
function_indexes: vec(FunctionIndex)
}
"""
_fields = ('table_index', 'offset', 'type', 'function_indexes')
id = 0x2
def __init__(self, table_index, offset, type, function_indexes):
Node.__init__(self)
self.table_index = table_index
self.offset = offset
self.type = type
self.function_indexes = function_indexes
def __repr__(self):
return f'ActiveFuncRefSegment(table_index={self.table_index!r}, offset={self.offset!r}, type={self.type!r}, function_indexes={self.function_indexes!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ActiveFuncRefSegment, fullparse)
def _try_ActiveFuncRefSegment(_text, _pos):
# Begin Seq
start_pos28 = _pos
while True:
# Begin Byte
# 0x2
if (_pos < len(_text)) and (_text[_pos] == 2):
_result = 2
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error331
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
table_index = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Expression, _pos))
# End Ref
if not (_status):
break
offset = _result
# Begin Discard
# 0x0 >> `'funcref'`
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error338
_status = False
# End Byte
if not (_status):
break
_result = 'funcref'
_status = True
break
# End Discard
if not (_status):
break
type = _result
# Begin Call
# vec(FunctionIndex)
func14 = _ParseFunction(_try_vec, (_try_FunctionIndex,), ())
(_status, _result, _pos) = (yield (3, func14, _pos))
# End Call
if not (_status):
break
function_indexes = _result
_result = ActiveFuncRefSegment(table_index, offset, type, function_indexes)
_result._metadata.position_info = (start_pos28, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error331(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ActiveFuncRefSegment' rule, at the expression:\n"
' 0x2\n\n'
'Expected to match the byte value 0x2'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error338(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ActiveFuncRefSegment' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class DeclarativeFuncRefSegment(Node):
"""
class DeclarativeFuncRefSegment {
let id: 0x3
type: 0x0 >> `'funcref'`
function_indexes: vec(FunctionIndex)
}
"""
_fields = ('type', 'function_indexes')
id = 0x3
def __init__(self, type, function_indexes):
Node.__init__(self)
self.type = type
self.function_indexes = function_indexes
def __repr__(self):
return f'DeclarativeFuncRefSegment(type={self.type!r}, function_indexes={self.function_indexes!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_DeclarativeFuncRefSegment, fullparse)
def _try_DeclarativeFuncRefSegment(_text, _pos):
# Begin Seq
start_pos29 = _pos
while True:
# Begin Byte
# 0x3
if (_pos < len(_text)) and (_text[_pos] == 3):
_result = 3
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error347
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Discard
# 0x0 >> `'funcref'`
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error350
_status = False
# End Byte
if not (_status):
break
_result = 'funcref'
_status = True
break
# End Discard
if not (_status):
break
type = _result
# Begin Call
# vec(FunctionIndex)
func15 = _ParseFunction(_try_vec, (_try_FunctionIndex,), ())
(_status, _result, _pos) = (yield (3, func15, _pos))
# End Call
if not (_status):
break
function_indexes = _result
_result = DeclarativeFuncRefSegment(type, function_indexes)
_result._metadata.position_info = (start_pos29, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error347(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'DeclarativeFuncRefSegment' rule, at the expression:\n"
' 0x3\n\n'
'Expected to match the byte value 0x3'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error350(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'DeclarativeFuncRefSegment' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class DefaultExpressionSegment(Node):
"""
class DefaultExpressionSegment {
let id: 0x4
offset: Expression
initializers: vec(Expression)
}
"""
_fields = ('offset', 'initializers')
id = 0x4
def __init__(self, offset, initializers):
Node.__init__(self)
self.offset = offset
self.initializers = initializers
def __repr__(self):
return f'DefaultExpressionSegment(offset={self.offset!r}, initializers={self.initializers!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_DefaultExpressionSegment, fullparse)
def _try_DefaultExpressionSegment(_text, _pos):
# Begin Seq
start_pos30 = _pos
while True:
# Begin Byte
# 0x4
if (_pos < len(_text)) and (_text[_pos] == 4):
_result = 4
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error359
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Expression, _pos))
# End Ref
if not (_status):
break
offset = _result
# Begin Call
# vec(Expression)
func16 = _ParseFunction(_try_vec, (_try_Expression,), ())
(_status, _result, _pos) = (yield (3, func16, _pos))
# End Call
if not (_status):
break
initializers = _result
_result = DefaultExpressionSegment(offset, initializers)
_result._metadata.position_info = (start_pos30, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error359(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'DefaultExpressionSegment' rule, at the expression:\n"
' 0x4\n\n'
'Expected to match the byte value 0x4'
)
raise ParseError((title + details), _pos, line, col)
class PassiveExpressionSegment(Node):
"""
class PassiveExpressionSegment {
let id: 0x5
type: ReferenceType
initializers: vec(Expression)
}
"""
_fields = ('type', 'initializers')
id = 0x5
def __init__(self, type, initializers):
Node.__init__(self)
self.type = type
self.initializers = initializers
def __repr__(self):
return f'PassiveExpressionSegment(type={self.type!r}, initializers={self.initializers!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_PassiveExpressionSegment, fullparse)
def _try_PassiveExpressionSegment(_text, _pos):
# Begin Seq
start_pos31 = _pos
while True:
# Begin Byte
# 0x5
if (_pos < len(_text)) and (_text[_pos] == 5):
_result = 5
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error369
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ReferenceType, _pos))
# End Ref
if not (_status):
break
type = _result
# Begin Call
# vec(Expression)
func17 = _ParseFunction(_try_vec, (_try_Expression,), ())
(_status, _result, _pos) = (yield (3, func17, _pos))
# End Call
if not (_status):
break
initializers = _result
_result = PassiveExpressionSegment(type, initializers)
_result._metadata.position_info = (start_pos31, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error369(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'PassiveExpressionSegment' rule, at the expression:\n"
' 0x5\n\n'
'Expected to match the byte value 0x5'
)
raise ParseError((title + details), _pos, line, col)
class ActiveExpressionSegment(Node):
"""
class ActiveExpressionSegment {
let id: 0x6
table_index: TableIndex
offset: Expression
type: ReferenceType
initializers: vec(Expression)
}
"""
_fields = ('table_index', 'offset', 'type', 'initializers')
id = 0x6
def __init__(self, table_index, offset, type, initializers):
Node.__init__(self)
self.table_index = table_index
self.offset = offset
self.type = type
self.initializers = initializers
def __repr__(self):
return f'ActiveExpressionSegment(table_index={self.table_index!r}, offset={self.offset!r}, type={self.type!r}, initializers={self.initializers!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ActiveExpressionSegment, fullparse)
def _try_ActiveExpressionSegment(_text, _pos):
# Begin Seq
start_pos32 = _pos
while True:
# Begin Byte
# 0x6
if (_pos < len(_text)) and (_text[_pos] == 6):
_result = 6
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error379
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
table_index = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Expression, _pos))
# End Ref
if not (_status):
break
offset = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ReferenceType, _pos))
# End Ref
if not (_status):
break
type = _result
# Begin Call
# vec(Expression)
func18 = _ParseFunction(_try_vec, (_try_Expression,), ())
(_status, _result, _pos) = (yield (3, func18, _pos))
# End Call
if not (_status):
break
initializers = _result
_result = ActiveExpressionSegment(table_index, offset, type, initializers)
_result._metadata.position_info = (start_pos32, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error379(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ActiveExpressionSegment' rule, at the expression:\n"
' 0x6\n\n'
'Expected to match the byte value 0x6'
)
raise ParseError((title + details), _pos, line, col)
class DeclarativeExpressionSegment(Node):
"""
class DeclarativeExpressionSegment {
let id: 0x7
type: ReferenceType
initializers: vec(Expression)
}
"""
_fields = ('type', 'initializers')
id = 0x7
def __init__(self, type, initializers):
Node.__init__(self)
self.type = type
self.initializers = initializers
def __repr__(self):
return f'DeclarativeExpressionSegment(type={self.type!r}, initializers={self.initializers!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_DeclarativeExpressionSegment, fullparse)
def _try_DeclarativeExpressionSegment(_text, _pos):
# Begin Seq
start_pos33 = _pos
while True:
# Begin Byte
# 0x7
if (_pos < len(_text)) and (_text[_pos] == 7):
_result = 7
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error393
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ReferenceType, _pos))
# End Ref
if not (_status):
break
type = _result
# Begin Call
# vec(Expression)
func19 = _ParseFunction(_try_vec, (_try_Expression,), ())
(_status, _result, _pos) = (yield (3, func19, _pos))
# End Call
if not (_status):
break
initializers = _result
_result = DeclarativeExpressionSegment(type, initializers)
_result._metadata.position_info = (start_pos33, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error393(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'DeclarativeExpressionSegment' rule, at the expression:\n"
' 0x7\n\n'
'Expected to match the byte value 0x7'
)
raise ParseError((title + details), _pos, line, col)
class DefaultDataSegment(Node):
"""
class DefaultDataSegment {
let id: 0x0
offset: Expression
contents: ByteVector
}
"""
_fields = ('offset', 'contents')
id = 0x0
def __init__(self, offset, contents):
Node.__init__(self)
self.offset = offset
self.contents = contents
def __repr__(self):
return f'DefaultDataSegment(offset={self.offset!r}, contents={self.contents!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_DefaultDataSegment, fullparse)
def _try_DefaultDataSegment(_text, _pos):
# Begin Seq
start_pos34 = _pos
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error403
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Expression, _pos))
# End Ref
if not (_status):
break
offset = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ByteVector, _pos))
# End Ref
if not (_status):
break
contents = _result
_result = DefaultDataSegment(offset, contents)
_result._metadata.position_info = (start_pos34, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error403(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'DefaultDataSegment' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class PassiveDataSegment(Node):
"""
class PassiveDataSegment {
let id: 0x1
contents: ByteVector
}
"""
_fields = ('contents',)
id = 0x1
def __init__(self, contents):
Node.__init__(self)
self.contents = contents
def __repr__(self):
return f'PassiveDataSegment(contents={self.contents!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_PassiveDataSegment, fullparse)
def _try_PassiveDataSegment(_text, _pos):
# Begin Seq
start_pos35 = _pos
while True:
# Begin Byte
# 0x1
if (_pos < len(_text)) and (_text[_pos] == 1):
_result = 1
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error411
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ByteVector, _pos))
# End Ref
if not (_status):
break
contents = _result
_result = PassiveDataSegment(contents)
_result._metadata.position_info = (start_pos35, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error411(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'PassiveDataSegment' rule, at the expression:\n"
' 0x1\n\n'
'Expected to match the byte value 0x1'
)
raise ParseError((title + details), _pos, line, col)
class ActiveDataSegment(Node):
"""
class ActiveDataSegment {
let id: 0x2
index: MemoryIndex
offset: Expression
contents: ByteVector
}
"""
_fields = ('index', 'offset', 'contents')
id = 0x2
def __init__(self, index, offset, contents):
Node.__init__(self)
self.index = index
self.offset = offset
self.contents = contents
def __repr__(self):
return f'ActiveDataSegment(index={self.index!r}, offset={self.offset!r}, contents={self.contents!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ActiveDataSegment, fullparse)
def _try_ActiveDataSegment(_text, _pos):
# Begin Seq
start_pos36 = _pos
while True:
# Begin Byte
# 0x2
if (_pos < len(_text)) and (_text[_pos] == 2):
_result = 2
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error417
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_MemoryIndex, _pos))
# End Ref
if not (_status):
break
index = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Expression, _pos))
# End Ref
if not (_status):
break
offset = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ByteVector, _pos))
# End Ref
if not (_status):
break
contents = _result
_result = ActiveDataSegment(index, offset, contents)
_result._metadata.position_info = (start_pos36, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error417(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ActiveDataSegment' rule, at the expression:\n"
' 0x2\n\n'
'Expected to match the byte value 0x2'
)
raise ParseError((title + details), _pos, line, col)
def _try_Limits(_text, _pos):
# Rule 'Limits'
# Begin Choice
farthest_err5 = _raise_error425
backtrack18 = farthest_pos5 = _pos
while True:
# Option 1:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_MinLimit, _pos))
# End Ref
if _status:
break
if (farthest_pos5 < _pos):
farthest_pos5 = _pos
farthest_err5 = _result
_pos = backtrack18
# Option 2:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_MinMaxLimits, _pos))
# End Ref
if _status:
break
if (farthest_pos5 < _pos):
farthest_pos5 = _pos
farthest_err5 = _result
_pos = farthest_pos5
_result = farthest_err5
break
# End Choice
yield (_status, _result, _pos)
def _parse_Limits(text, pos=0, fullparse=True):
return _run(text, pos, _try_Limits, fullparse)
Limits = Rule('Limits', _parse_Limits, """
Limits = MinLimit | MinMaxLimits
""")
def _raise_error425(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'Limits' rule, at the expression:\n"
' MinLimit | MinMaxLimits\n\n'
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
class MinLimit(Node):
"""
class MinLimit {
let id: 0x0
min: u32
}
"""
_fields = ('min',)
id = 0x0
def __init__(self, min):
Node.__init__(self)
self.min = min
def __repr__(self):
return f'MinLimit(min={self.min!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_MinLimit, fullparse)
def _try_MinLimit(_text, _pos):
# Begin Seq
start_pos37 = _pos
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error431
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
min = _result
_result = MinLimit(min)
_result._metadata.position_info = (start_pos37, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error431(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'MinLimit' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class MinMaxLimits(Node):
"""
class MinMaxLimits {
let id: 0x1
min: u32
max: u32
}
"""
_fields = ('min', 'max')
id = 0x1
def __init__(self, min, max):
Node.__init__(self)
self.min = min
self.max = max
def __repr__(self):
return f'MinMaxLimits(min={self.min!r}, max={self.max!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_MinMaxLimits, fullparse)
def _try_MinMaxLimits(_text, _pos):
# Begin Seq
start_pos38 = _pos
while True:
# Begin Byte
# 0x1
if (_pos < len(_text)) and (_text[_pos] == 1):
_result = 1
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error437
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
min = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
max = _result
_result = MinMaxLimits(min, max)
_result._metadata.position_info = (start_pos38, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error437(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'MinMaxLimits' rule, at the expression:\n"
' 0x1\n\n'
'Expected to match the byte value 0x1'
)
raise ParseError((title + details), _pos, line, col)
def _try_DataIndex(_text, _pos):
# Rule 'DataIndex'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_DataIndex(text, pos=0, fullparse=True):
return _run(text, pos, _try_DataIndex, fullparse)
DataIndex = Rule('DataIndex', _parse_DataIndex, """
DataIndex = u32
""")
def _try_FunctionIndex(_text, _pos):
# Rule 'FunctionIndex'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_FunctionIndex(text, pos=0, fullparse=True):
return _run(text, pos, _try_FunctionIndex, fullparse)
FunctionIndex = Rule('FunctionIndex', _parse_FunctionIndex, """
FunctionIndex = u32
""")
def _try_ElementIndex(_text, _pos):
# Rule 'ElementIndex'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_ElementIndex(text, pos=0, fullparse=True):
return _run(text, pos, _try_ElementIndex, fullparse)
ElementIndex = Rule('ElementIndex', _parse_ElementIndex, """
ElementIndex = u32
""")
def _try_GlobalIndex(_text, _pos):
# Rule 'GlobalIndex'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_GlobalIndex(text, pos=0, fullparse=True):
return _run(text, pos, _try_GlobalIndex, fullparse)
GlobalIndex = Rule('GlobalIndex', _parse_GlobalIndex, """
GlobalIndex = u32
""")
def _try_LabelIndex(_text, _pos):
# Rule 'LabelIndex'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_LabelIndex(text, pos=0, fullparse=True):
return _run(text, pos, _try_LabelIndex, fullparse)
LabelIndex = Rule('LabelIndex', _parse_LabelIndex, """
LabelIndex = u32
""")
def _try_LocalIndex(_text, _pos):
# Rule 'LocalIndex'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_LocalIndex(text, pos=0, fullparse=True):
return _run(text, pos, _try_LocalIndex, fullparse)
LocalIndex = Rule('LocalIndex', _parse_LocalIndex, """
LocalIndex = u32
""")
def _try_MemoryIndex(_text, _pos):
# Rule 'MemoryIndex'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_MemoryIndex(text, pos=0, fullparse=True):
return _run(text, pos, _try_MemoryIndex, fullparse)
MemoryIndex = Rule('MemoryIndex', _parse_MemoryIndex, """
MemoryIndex = u32
""")
def _try_TableIndex(_text, _pos):
# Rule 'TableIndex'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_TableIndex(text, pos=0, fullparse=True):
return _run(text, pos, _try_TableIndex, fullparse)
TableIndex = Rule('TableIndex', _parse_TableIndex, """
TableIndex = u32
""")
def _try_TypeIndex(_text, _pos):
# Rule 'TypeIndex'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_TypeIndex(text, pos=0, fullparse=True):
return _run(text, pos, _try_TypeIndex, fullparse)
TypeIndex = Rule('TypeIndex', _parse_TypeIndex, """
TypeIndex = u32
""")
def _try_BlockType(_text, _pos):
# Rule 'BlockType'
# Begin Choice
farthest_err6 = _raise_error461
backtrack19 = farthest_pos6 = _pos
while True:
# Option 1:
# Begin Discard
# 0x40 >> `'empty'`
while True:
# Begin Byte
# 0x40
if (_pos < len(_text)) and (_text[_pos] == 64):
_result = 64
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error463
_status = False
# End Byte
if not (_status):
break
_result = 'empty'
_status = True
break
# End Discard
if _status:
break
if (farthest_pos6 < _pos):
farthest_pos6 = _pos
farthest_err6 = _result
_pos = backtrack19
# Option 2:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ValueType, _pos))
# End Ref
if _status:
break
if (farthest_pos6 < _pos):
farthest_pos6 = _pos
farthest_err6 = _result
_pos = backtrack19
# Option 3:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_SignedInt, _pos))
# End Ref
if _status:
break
if (farthest_pos6 < _pos):
farthest_pos6 = _pos
farthest_err6 = _result
_pos = farthest_pos6
_result = farthest_err6
break
# End Choice
yield (_status, _result, _pos)
def _parse_BlockType(text, pos=0, fullparse=True):
return _run(text, pos, _try_BlockType, fullparse)
BlockType = Rule('BlockType', _parse_BlockType, """
BlockType = 0x40 >> `'empty'` | ValueType | SignedInt
""")
def _raise_error461(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'BlockType' rule, at the expression:\n"
" 0x40 >> `'empty'` | ValueType | SignedInt\n\n"
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error463(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'BlockType' rule, at the expression:\n"
' 0x40\n\n'
'Expected to match the byte value 0x40'
)
raise ParseError((title + details), _pos, line, col)
class FunctionType(Node):
"""
class FunctionType {
let id: 0x60
parameter_types: vec(ValueType)
result_types: vec(ValueType)
}
"""
_fields = ('parameter_types', 'result_types')
id = 0x60
def __init__(self, parameter_types, result_types):
Node.__init__(self)
self.parameter_types = parameter_types
self.result_types = result_types
def __repr__(self):
return f'FunctionType(parameter_types={self.parameter_types!r}, result_types={self.result_types!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_FunctionType, fullparse)
def _try_FunctionType(_text, _pos):
# Begin Seq
start_pos39 = _pos
while True:
# Begin Byte
# 0x60
if (_pos < len(_text)) and (_text[_pos] == 96):
_result = 96
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error470
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Call
# vec(ValueType)
func20 = _ParseFunction(_try_vec, (_try_ValueType,), ())
(_status, _result, _pos) = (yield (3, func20, _pos))
# End Call
if not (_status):
break
parameter_types = _result
# Begin Call
# vec(ValueType)
func21 = _ParseFunction(_try_vec, (_try_ValueType,), ())
(_status, _result, _pos) = (yield (3, func21, _pos))
# End Call
if not (_status):
break
result_types = _result
_result = FunctionType(parameter_types, result_types)
_result._metadata.position_info = (start_pos39, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error470(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'FunctionType' rule, at the expression:\n"
' 0x60\n\n'
'Expected to match the byte value 0x60'
)
raise ParseError((title + details), _pos, line, col)
class GlobalType(Node):
"""
class GlobalType {
type: ValueType
modifier: 0x0 >> `'const'` | 0x1 >> `'var'`
}
"""
_fields = ('type', 'modifier')
def __init__(self, type, modifier):
Node.__init__(self)
self.type = type
self.modifier = modifier
def __repr__(self):
return f'GlobalType(type={self.type!r}, modifier={self.modifier!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_GlobalType, fullparse)
def _try_GlobalType(_text, _pos):
# Begin Seq
start_pos40 = _pos
while True:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ValueType, _pos))
# End Ref
if not (_status):
break
type = _result
# Begin Choice
farthest_err7 = _raise_error484
backtrack20 = farthest_pos7 = _pos
while True:
# Option 1:
# Begin Discard
# 0x0 >> `'const'`
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error486
_status = False
# End Byte
if not (_status):
break
_result = 'const'
_status = True
break
# End Discard
if _status:
break
if (farthest_pos7 < _pos):
farthest_pos7 = _pos
farthest_err7 = _result
_pos = backtrack20
# Option 2:
# Begin Discard
# 0x1 >> `'var'`
while True:
# Begin Byte
# 0x1
if (_pos < len(_text)) and (_text[_pos] == 1):
_result = 1
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error489
_status = False
# End Byte
if not (_status):
break
_result = 'var'
_status = True
break
# End Discard
if _status:
break
if (farthest_pos7 < _pos):
farthest_pos7 = _pos
farthest_err7 = _result
_pos = farthest_pos7
_result = farthest_err7
break
# End Choice
if not (_status):
break
modifier = _result
_result = GlobalType(type, modifier)
_result._metadata.position_info = (start_pos40, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error484(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'GlobalType' rule, at the expression:\n"
" 0x0 >> `'const'` | 0x1 >> `'var'`\n\n"
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error486(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'GlobalType' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error489(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'GlobalType' rule, at the expression:\n"
' 0x1\n\n'
'Expected to match the byte value 0x1'
)
raise ParseError((title + details), _pos, line, col)
class MemoryType(Node):
"""
class MemoryType {
limits: Limits
}
"""
_fields = ('limits',)
def __init__(self, limits):
Node.__init__(self)
self.limits = limits
def __repr__(self):
return f'MemoryType(limits={self.limits!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_MemoryType, fullparse)
def _try_MemoryType(_text, _pos):
# Begin Seq
start_pos41 = _pos
while True:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Limits, _pos))
# End Ref
if not (_status):
break
limits = _result
_result = MemoryType(limits)
_result._metadata.position_info = (start_pos41, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _try_NumberType(_text, _pos):
# Rule 'NumberType'
# Begin Choice
farthest_err8 = _raise_error496
backtrack21 = farthest_pos8 = _pos
while True:
# Option 1:
# Begin Discard
# 0x7f >> `'i32'`
while True:
# Begin Byte
# 0x7f
if (_pos < len(_text)) and (_text[_pos] == 127):
_result = 127
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error498
_status = False
# End Byte
if not (_status):
break
_result = 'i32'
_status = True
break
# End Discard
if _status:
break
if (farthest_pos8 < _pos):
farthest_pos8 = _pos
farthest_err8 = _result
_pos = backtrack21
# Option 2:
# Begin Discard
# 0x7e >> `'i64'`
while True:
# Begin Byte
# 0x7e
if (_pos < len(_text)) and (_text[_pos] == 126):
_result = 126
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error501
_status = False
# End Byte
if not (_status):
break
_result = 'i64'
_status = True
break
# End Discard
if _status:
break
if (farthest_pos8 < _pos):
farthest_pos8 = _pos
farthest_err8 = _result
_pos = backtrack21
# Option 3:
# Begin Discard
# 0x7d >> `'f32'`
while True:
# Begin Byte
# 0x7d
if (_pos < len(_text)) and (_text[_pos] == 125):
_result = 125
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error504
_status = False
# End Byte
if not (_status):
break
_result = 'f32'
_status = True
break
# End Discard
if _status:
break
if (farthest_pos8 < _pos):
farthest_pos8 = _pos
farthest_err8 = _result
_pos = backtrack21
# Option 4:
# Begin Discard
# 0x7c >> `'f64'`
while True:
# Begin Byte
# 0x7c
if (_pos < len(_text)) and (_text[_pos] == 124):
_result = 124
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error507
_status = False
# End Byte
if not (_status):
break
_result = 'f64'
_status = True
break
# End Discard
if _status:
break
if (farthest_pos8 < _pos):
farthest_pos8 = _pos
farthest_err8 = _result
_pos = farthest_pos8
_result = farthest_err8
break
# End Choice
yield (_status, _result, _pos)
def _parse_NumberType(text, pos=0, fullparse=True):
return _run(text, pos, _try_NumberType, fullparse)
NumberType = Rule('NumberType', _parse_NumberType, """
NumberType = 0x7f >> `'i32'` | 0x7e >> `'i64'` | 0x7d >> `'f32'` | 0x7c >> `'f64'`
""")
def _raise_error496(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'NumberType' rule, at the expression:\n"
" 0x7f >> `'i32'` | 0x7e >> `'i64'` | 0x7d >> `'f32'` | 0x7c >> `'f64'`\n\n"
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error498(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'NumberType' rule, at the expression:\n"
' 0x7f\n\n'
'Expected to match the byte value 0x7f'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error501(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'NumberType' rule, at the expression:\n"
' 0x7e\n\n'
'Expected to match the byte value 0x7e'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error504(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'NumberType' rule, at the expression:\n"
' 0x7d\n\n'
'Expected to match the byte value 0x7d'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error507(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'NumberType' rule, at the expression:\n"
' 0x7c\n\n'
'Expected to match the byte value 0x7c'
)
raise ParseError((title + details), _pos, line, col)
class TableType(Node):
"""
class TableType {
type: ReferenceType
limits: Limits
}
"""
_fields = ('type', 'limits')
def __init__(self, type, limits):
Node.__init__(self)
self.type = type
self.limits = limits
def __repr__(self):
return f'TableType(type={self.type!r}, limits={self.limits!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_TableType, fullparse)
def _try_TableType(_text, _pos):
# Begin Seq
start_pos42 = _pos
while True:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ReferenceType, _pos))
# End Ref
if not (_status):
break
type = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Limits, _pos))
# End Ref
if not (_status):
break
limits = _result
_result = TableType(type, limits)
_result._metadata.position_info = (start_pos42, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _try_ReferenceType(_text, _pos):
# Rule 'ReferenceType'
# Begin Choice
farthest_err9 = _raise_error516
backtrack22 = farthest_pos9 = _pos
while True:
# Option 1:
# Begin Discard
# 0x70 >> `'funcref'`
while True:
# Begin Byte
# 0x70
if (_pos < len(_text)) and (_text[_pos] == 112):
_result = 112
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error518
_status = False
# End Byte
if not (_status):
break
_result = 'funcref'
_status = True
break
# End Discard
if _status:
break
if (farthest_pos9 < _pos):
farthest_pos9 = _pos
farthest_err9 = _result
_pos = backtrack22
# Option 2:
# Begin Discard
# 0x6f >> `'externref'`
while True:
# Begin Byte
# 0x6f
if (_pos < len(_text)) and (_text[_pos] == 111):
_result = 111
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error521
_status = False
# End Byte
if not (_status):
break
_result = 'externref'
_status = True
break
# End Discard
if _status:
break
if (farthest_pos9 < _pos):
farthest_pos9 = _pos
farthest_err9 = _result
_pos = farthest_pos9
_result = farthest_err9
break
# End Choice
yield (_status, _result, _pos)
def _parse_ReferenceType(text, pos=0, fullparse=True):
return _run(text, pos, _try_ReferenceType, fullparse)
ReferenceType = Rule('ReferenceType', _parse_ReferenceType, """
ReferenceType = 0x70 >> `'funcref'` | 0x6f >> `'externref'`
""")
def _raise_error516(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ReferenceType' rule, at the expression:\n"
" 0x70 >> `'funcref'` | 0x6f >> `'externref'`\n\n"
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error518(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ReferenceType' rule, at the expression:\n"
' 0x70\n\n'
'Expected to match the byte value 0x70'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error521(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ReferenceType' rule, at the expression:\n"
' 0x6f\n\n'
'Expected to match the byte value 0x6f'
)
raise ParseError((title + details), _pos, line, col)
def _try_ValueType(_text, _pos):
# Rule 'ValueType'
# Begin Choice
farthest_err10 = _raise_error524
backtrack23 = farthest_pos10 = _pos
while True:
# Option 1:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_NumberType, _pos))
# End Ref
if _status:
break
if (farthest_pos10 < _pos):
farthest_pos10 = _pos
farthest_err10 = _result
_pos = backtrack23
# Option 2:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ReferenceType, _pos))
# End Ref
if _status:
break
if (farthest_pos10 < _pos):
farthest_pos10 = _pos
farthest_err10 = _result
_pos = farthest_pos10
_result = farthest_err10
break
# End Choice
yield (_status, _result, _pos)
def _parse_ValueType(text, pos=0, fullparse=True):
return _run(text, pos, _try_ValueType, fullparse)
ValueType = Rule('ValueType', _parse_ValueType, """
ValueType = NumberType | ReferenceType
""")
def _raise_error524(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ValueType' rule, at the expression:\n"
' NumberType | ReferenceType\n\n'
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
def _try_vec(_text, _pos, element):
# Rule 'vec'
# Begin Let
# let length = u32 in
# element{length}
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if _status:
length = _result
# Begin List
# element{length}
staging14 = []
while True:
checkpoint14 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, element, _pos))
# End Ref
if not (_status):
_pos = checkpoint14
break
staging14.append(_result)
if (len(staging14) == length):
break
if (len(staging14) >= length):
_result = staging14
_status = True
# End List
# End Let
yield (_status, _result, _pos)
def _parse_vec(text, pos=0, fullparse=True):
return _run(text, pos, _try_vec, fullparse)
vec = Rule('vec', _parse_vec, """
vec(element) = let length = u32 in
element{length}
""")
def _try_ByteString(_text, _pos, size):
# Rule 'ByteString'
# Begin Apply
# bytechar{size} |> `lambda x: b''.join(x)`
# Begin List
# bytechar{size}
staging15 = []
while True:
checkpoint15 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_bytechar, _pos))
# End Ref
if not (_status):
_pos = checkpoint15
break
staging15.append(_result)
if (len(staging15) == size):
break
if (len(staging15) >= size):
_result = staging15
_status = True
# End List
if _status:
arg2 = _result
_result = lambda x: b''.join(x)
_status = True
_result = _result(arg2)
# End Apply
yield (_status, _result, _pos)
def _parse_ByteString(text, pos=0, fullparse=True):
return _run(text, pos, _try_ByteString, fullparse)
ByteString = Rule('ByteString', _parse_ByteString, """
ByteString(size) = bytechar{size} |> `lambda x: b''.join(x)`
""")
def _try_ByteVector(_text, _pos):
# Rule 'ByteVector'
# Begin Apply
# vec(bytechar) |> `lambda x: b''.join(x)`
# Begin Call
# vec(bytechar)
func22 = _ParseFunction(_try_vec, (_try_bytechar,), ())
(_status, _result, _pos) = (yield (3, func22, _pos))
# End Call
if _status:
arg3 = _result
_result = lambda x: b''.join(x)
_status = True
_result = _result(arg3)
# End Apply
yield (_status, _result, _pos)
def _parse_ByteVector(text, pos=0, fullparse=True):
return _run(text, pos, _try_ByteVector, fullparse)
ByteVector = Rule('ByteVector', _parse_ByteVector, """
ByteVector = vec(bytechar) |> `lambda x: b''.join(x)`
""")
def _try_bytechar(_text, _pos):
# Rule 'bytechar'
# Begin Regex
# /[\\x00-\\xFF]/
match1 = matcher1(_text, _pos)
if match1:
_result = match1.group(0)
_pos = match1.end()
_status = True
else:
_result = _raise_error544
_status = False
# End Regex
yield (_status, _result, _pos)
def _parse_bytechar(text, pos=0, fullparse=True):
return _run(text, pos, _try_bytechar, fullparse)
bytechar = Rule('bytechar', _parse_bytechar, """
bytechar = /[\\x00-\\xFF]/
""")
def _raise_error544(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'bytechar' rule, at the expression:\n"
' /[\\\\x00-\\\\xFF]/\n\n'
"Expected to match the regular expression /b'[\\\\x00-\\\\xFF]'/"
)
raise ParseError((title + details), _pos, line, col)
def _try_Name(_text, _pos):
# Rule 'Name'
# Begin Apply
# vec(bytechar) |> `lambda x: b''.join(x).decode('utf8')`
# Begin Call
# vec(bytechar)
func23 = _ParseFunction(_try_vec, (_try_bytechar,), ())
(_status, _result, _pos) = (yield (3, func23, _pos))
# End Call
if _status:
arg4 = _result
_result = lambda x: b''.join(x).decode('utf8')
_status = True
_result = _result(arg4)
# End Apply
yield (_status, _result, _pos)
def _parse_Name(text, pos=0, fullparse=True):
return _run(text, pos, _try_Name, fullparse)
Name = Rule('Name', _parse_Name, """
Name = vec(bytechar) |> `lambda x: b''.join(x).decode('utf8')`
""")
class LocatedName(Node):
"""
class LocatedName {
start: `_pos`
name: Name
end: `_pos`
}
"""
_fields = ('start', 'name', 'end')
def __init__(self, start, name, end):
Node.__init__(self)
self.start = start
self.name = name
self.end = end
def __repr__(self):
return f'LocatedName(start={self.start!r}, name={self.name!r}, end={self.end!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_LocatedName, fullparse)
def _try_LocatedName(_text, _pos):
# Begin Seq
start_pos43 = _pos
while True:
_result = _pos
_status = True
start = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Name, _pos))
# End Ref
if not (_status):
break
name = _result
_result = _pos
_status = True
end = _result
_result = LocatedName(start, name, end)
_result._metadata.position_info = (start_pos43, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _try_byte(_text, _pos):
# Rule 'byte'
# Begin Apply
# /[\\x00-\\xFF]/ |> `ord`
# Begin Regex
# /[\\x00-\\xFF]/
match2 = matcher1(_text, _pos)
if match2:
_result = match2.group(0)
_pos = match2.end()
_status = True
else:
_result = _raise_error561
_status = False
# End Regex
if _status:
arg5 = _result
_result = ord
_status = True
_result = _result(arg5)
# End Apply
yield (_status, _result, _pos)
def _parse_byte(text, pos=0, fullparse=True):
return _run(text, pos, _try_byte, fullparse)
byte = Rule('byte', _parse_byte, """
byte = /[\\x00-\\xFF]/ |> `ord`
""")
def _raise_error561(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'byte' rule, at the expression:\n"
' /[\\\\x00-\\\\xFF]/\n\n'
"Expected to match the regular expression /b'[\\\\x00-\\\\xFF]'/"
)
raise ParseError((title + details), _pos, line, col)
def _try_u32(_text, _pos):
# Rule 'u32'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_UnsignedInt, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_u32(text, pos=0, fullparse=True):
return _run(text, pos, _try_u32, fullparse)
u32 = Rule('u32', _parse_u32, """
u32 = UnsignedInt
""")
def _try_i32(_text, _pos):
# Rule 'i32'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_SignedInt, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_i32(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32, fullparse)
i32 = Rule('i32', _parse_i32, """
i32 = SignedInt
""")
def _try_i64(_text, _pos):
# Rule 'i64'
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_SignedInt, _pos))
# End Ref
yield (_status, _result, _pos)
def _parse_i64(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64, fullparse)
i64 = Rule('i64', _parse_i64, """
i64 = SignedInt
""")
def _try_f32(_text, _pos):
# Rule 'f32'
# Begin Apply
# /[\\x00-\\xFF]{4}/ |> `lambda x: struct.unpack('<f', x)[0]`
# Begin Regex
# /[\\x00-\\xFF]{4}/
match3 = matcher2(_text, _pos)
if match3:
_result = match3.group(0)
_pos = match3.end()
_status = True
else:
_result = _raise_error571
_status = False
# End Regex
if _status:
arg6 = _result
_result = lambda x: struct.unpack('<f', x)[0]
_status = True
_result = _result(arg6)
# End Apply
yield (_status, _result, _pos)
def _parse_f32(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32, fullparse)
f32 = Rule('f32', _parse_f32, """
f32 = /[\\x00-\\xFF]{4}/ |> `lambda x: struct.unpack('<f', x)[0]`
""")
def _raise_error571(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32' rule, at the expression:\n"
' /[\\\\x00-\\\\xFF]{4}/\n\n'
"Expected to match the regular expression /b'[\\\\x00-\\\\xFF]{4}'/"
)
raise ParseError((title + details), _pos, line, col)
def _try_f64(_text, _pos):
# Rule 'f64'
# Begin Apply
# /[\\x00-\\xFF]{8}/ |> `lambda x: struct.unpack('<d', x)[0]`
# Begin Regex
# /[\\x00-\\xFF]{8}/
match4 = matcher3(_text, _pos)
if match4:
_result = match4.group(0)
_pos = match4.end()
_status = True
else:
_result = _raise_error575
_status = False
# End Regex
if _status:
arg7 = _result
_result = lambda x: struct.unpack('<d', x)[0]
_status = True
_result = _result(arg7)
# End Apply
yield (_status, _result, _pos)
def _parse_f64(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64, fullparse)
f64 = Rule('f64', _parse_f64, """
f64 = /[\\x00-\\xFF]{8}/ |> `lambda x: struct.unpack('<d', x)[0]`
""")
def _raise_error575(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64' rule, at the expression:\n"
' /[\\\\x00-\\\\xFF]{8}/\n\n'
"Expected to match the regular expression /b'[\\\\x00-\\\\xFF]{8}'/"
)
raise ParseError((title + details), _pos, line, col)
def _try_SignedInt(_text, _pos):
# Rule 'SignedInt'
# Begin Apply
# LEB128 |> `decode_signed_int`
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_LEB128, _pos))
# End Ref
if _status:
arg8 = _result
_result = decode_signed_int
_status = True
_result = _result(arg8)
# End Apply
yield (_status, _result, _pos)
def _parse_SignedInt(text, pos=0, fullparse=True):
return _run(text, pos, _try_SignedInt, fullparse)
SignedInt = Rule('SignedInt', _parse_SignedInt, """
SignedInt = LEB128 |> `decode_signed_int`
""")
def _try_UnsignedInt(_text, _pos):
# Rule 'UnsignedInt'
# Begin Apply
# LEB128 |> `decode_unsigned_int`
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_LEB128, _pos))
# End Ref
if _status:
arg9 = _result
_result = decode_unsigned_int
_status = True
_result = _result(arg9)
# End Apply
yield (_status, _result, _pos)
def _parse_UnsignedInt(text, pos=0, fullparse=True):
return _run(text, pos, _try_UnsignedInt, fullparse)
UnsignedInt = Rule('UnsignedInt', _parse_UnsignedInt, """
UnsignedInt = LEB128 |> `decode_unsigned_int`
""")
def _try_LEB128(_text, _pos):
# Rule 'LEB128'
# Begin Regex
# /[\\x80-\\xFF]*[\\x00-\\x7F]/
match5 = matcher4(_text, _pos)
if match5:
_result = match5.group(0)
_pos = match5.end()
_status = True
else:
_result = _raise_error586
_status = False
# End Regex
yield (_status, _result, _pos)
def _parse_LEB128(text, pos=0, fullparse=True):
return _run(text, pos, _try_LEB128, fullparse)
LEB128 = Rule('LEB128', _parse_LEB128, """
LEB128 = /[\\x80-\\xFF]*[\\x00-\\x7F]/
""")
def _raise_error586(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'LEB128' rule, at the expression:\n"
' /[\\\\x80-\\\\xFF]*[\\\\x00-\\\\x7F]/\n\n'
"Expected to match the regular expression /b'[\\\\x80-\\\\xFF]*[\\\\x00-\\\\x7F]'/"
)
raise ParseError((title + details), _pos, line, col)
class CodeEntry(Node):
"""
class CodeEntry {
let size: u32
locals: vec(Locals)
expression: Expression
}
"""
_fields = ('locals', 'expression')
def __init__(self, locals, expression):
Node.__init__(self)
self.locals = locals
self.expression = expression
def __repr__(self):
return f'CodeEntry(locals={self.locals!r}, expression={self.expression!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_CodeEntry, fullparse)
def _try_CodeEntry(_text, _pos):
# Begin Seq
start_pos44 = _pos
while True:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
size = _result
# Begin Call
# vec(Locals)
func24 = _ParseFunction(_try_vec, (_try_Locals,), ())
(_status, _result, _pos) = (yield (3, func24, _pos))
# End Call
if not (_status):
break
locals = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Expression, _pos))
# End Ref
if not (_status):
break
expression = _result
_result = CodeEntry(locals, expression)
_result._metadata.position_info = (start_pos44, _pos)
break
# End Seq
yield (_status, _result, _pos)
class Locals(Node):
"""
class Locals {
count: u32
type: ValueType
}
"""
_fields = ('count', 'type')
def __init__(self, count, type):
Node.__init__(self)
self.count = count
self.type = type
def __repr__(self):
return f'Locals(count={self.count!r}, type={self.type!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_Locals, fullparse)
def _try_Locals(_text, _pos):
# Begin Seq
start_pos45 = _pos
while True:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
count = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ValueType, _pos))
# End Ref
if not (_status):
break
type = _result
_result = Locals(count, type)
_result._metadata.position_info = (start_pos45, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _try_Expression(_text, _pos):
# Rule 'Expression'
# Begin Discard
# Instruction* << 0xb
while True:
# Begin List
# Instruction*
staging16 = []
while True:
checkpoint16 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Instruction, _pos))
# End Ref
if not (_status):
_pos = checkpoint16
break
staging16.append(_result)
_result = staging16
_status = True
# End List
staging17 = _result
# Begin Byte
# 0xb
if (_pos < len(_text)) and (_text[_pos] == 11):
_result = 11
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error607
_status = False
# End Byte
if _status:
_result = staging17
break
# End Discard
yield (_status, _result, _pos)
def _parse_Expression(text, pos=0, fullparse=True):
return _run(text, pos, _try_Expression, fullparse)
Expression = Rule('Expression', _parse_Expression, """
Expression = Instruction* << 0xb
""")
def _raise_error607(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'Expression' rule, at the expression:\n"
' 0xb\n\n'
'Expected to match the byte value 0xb'
)
raise ParseError((title + details), _pos, line, col)
def _try_Instruction(_text, _pos):
# Rule 'Instruction'
# Begin Choice
farthest_err11 = _raise_error609
backtrack24 = farthest_pos11 = _pos
while True:
# Option 1:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_unreachable, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 2:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_nop, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 3:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Block, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 4:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Loop, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 5:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_If, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 6:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_br, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 7:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_br_if, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 8:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_br_table, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 9:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ret, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 10:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_call, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 11:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_call_indirect, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 12:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ref_null, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 13:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ref_is_null, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 14:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ref_func, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 15:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_drop, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 16:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_select, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 17:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_select_t, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 18:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_local_get, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 19:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_local_set, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 20:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_local_tee, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 21:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_global_get, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 22:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_global_set, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 23:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_table_get, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 24:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_table_set, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 25:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_load, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 26:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_load, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 27:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_load, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 28:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_load, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 29:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_load8_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 30:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_load8_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 31:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_load16_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 32:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_load16_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 33:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_load8_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 34:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_load8_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 35:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_load16_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 36:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_load16_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 37:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_load32_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 38:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_load32_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 39:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_store, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 40:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_store, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 41:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_store, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 42:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_store, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 43:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_store8, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 44:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_store16, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 45:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_store8, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 46:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_store16, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 47:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_store32, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 48:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_memory_size, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 49:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_memory_grow, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 50:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_const, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 51:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_const, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 52:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_const, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 53:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_const, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 54:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_eqz, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 55:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_eq, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 56:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_ne, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 57:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_lt_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 58:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_lt_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 59:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_gt_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 60:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_gt_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 61:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_le_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 62:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_le_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 63:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_ge_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 64:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_ge_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 65:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_eqz, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 66:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_eq, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 67:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_ne, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 68:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_lt_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 69:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_lt_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 70:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_gt_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 71:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_gt_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 72:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_le_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 73:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_le_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 74:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_ge_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 75:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_ge_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 76:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_eq, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 77:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_ne, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 78:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_lt, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 79:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_gt, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 80:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_le, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 81:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_ge, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 82:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_eq, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 83:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_ne, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 84:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_lt, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 85:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_gt, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 86:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_le, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 87:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_ge, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 88:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_clz, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 89:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_ctz, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 90:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_popcnt, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 91:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_add, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 92:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_sub, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 93:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_mul, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 94:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_div_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 95:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_div_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 96:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_rem_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 97:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_rem_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 98:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_and, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 99:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_or, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 100:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_xor, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 101:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_shl, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 102:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_shr_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 103:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_shr_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 104:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_rotl, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 105:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_rotr, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 106:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_clz, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 107:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_ctz, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 108:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_popcnt, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 109:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_add, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 110:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_sub, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 111:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_mul, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 112:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_div_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 113:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_div_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 114:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_rem_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 115:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_rem_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 116:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_and, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 117:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_or, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 118:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_xor, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 119:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_shl, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 120:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_shr_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 121:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_shr_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 122:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_rotl, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 123:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_rotr, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 124:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_abs, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 125:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_neg, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 126:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_ceil, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 127:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_floor, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 128:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_trunc, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 129:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_nearest, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 130:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_sqrt, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 131:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_add, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 132:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_sub, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 133:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_mul, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 134:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_div, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 135:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_min, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 136:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_max, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 137:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_copysign, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 138:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_abs, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 139:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_neg, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 140:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_ceil, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 141:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_floor, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 142:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_trunc, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 143:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_nearest, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 144:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_sqrt, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 145:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_add, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 146:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_sub, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 147:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_mul, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 148:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_div, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 149:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_min, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 150:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_max, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 151:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_copysign, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 152:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_wrap_i64, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 153:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_trunc_f32_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 154:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_trunc_f32_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 155:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_trunc_f64_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 156:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_trunc_f64_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 157:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_extend_i32_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 158:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_extend_i32_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 159:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_trunc_f32_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 160:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_trunc_f32_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 161:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_trunc_f64_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 162:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_trunc_f64_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 163:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_convert_i32_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 164:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_convert_i32_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 165:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_convert_i64_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 166:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_convert_i64_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 167:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_demote_f64, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 168:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_convert_i32_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 169:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_convert_i32_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 170:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_convert_i64_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 171:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_convert_i64_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 172:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_promote_f32, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 173:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_reinterpret_f32, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 174:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_reinterpret_f64, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 175:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32_reinterpret_i32, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 176:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64_reinterpret_i64, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 177:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_extend8_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 178:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_extend16_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 179:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_extend8_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 180:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_extend16_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 181:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_extend32_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 182:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_trunc_sat_f32_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 183:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_trunc_sat_f32_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 184:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_trunc_sat_f64_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 185:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32_trunc_sat_f64_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 186:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_trunc_sat_f32_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 187:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_trunc_sat_f32_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 188:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_trunc_sat_f64_s, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 189:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64_trunc_sat_f64_u, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 190:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_memory_init, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 191:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_data_drop, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 192:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_memory_copy, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 193:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_memory_fill, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 194:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_table_init, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 195:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_elem_drop, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 196:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_table_copy, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 197:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_table_grow, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 198:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_table_size, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = backtrack24
# Option 199:
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_table_fill, _pos))
# End Ref
if _status:
break
if (farthest_pos11 < _pos):
farthest_pos11 = _pos
farthest_err11 = _result
_pos = farthest_pos11
_result = farthest_err11
break
# End Choice
yield (_status, _result, _pos)
def _parse_Instruction(text, pos=0, fullparse=True):
return _run(text, pos, _try_Instruction, fullparse)
Instruction = Rule('Instruction', _parse_Instruction, """
Instruction = unreachable | nop | Block | Loop | If | br | br_if | br_table | ret | call | call_indirect | ref_null | ref_is_null | ref_func | drop | select | select_t | local_get | local_set | local_tee | global_get | global_set | table_get | table_set | i32_load | i64_load | f32_load | f64_load | i32_load8_s | i32_load8_u | i32_load16_s | i32_load16_u | i64_load8_s | i64_load8_u | i64_load16_s | i64_load16_u | i64_load32_s | i64_load32_u | i32_store | i64_store | f32_store | f64_store | i32_store8 | i32_store16 | i64_store8 | i64_store16 | i64_store32 | memory_size | memory_grow | i32_const | i64_const | f32_const | f64_const | i32_eqz | i32_eq | i32_ne | i32_lt_s | i32_lt_u | i32_gt_s | i32_gt_u | i32_le_s | i32_le_u | i32_ge_s | i32_ge_u | i64_eqz | i64_eq | i64_ne | i64_lt_s | i64_lt_u | i64_gt_s | i64_gt_u | i64_le_s | i64_le_u | i64_ge_s | i64_ge_u | f32_eq | f32_ne | f32_lt | f32_gt | f32_le | f32_ge | f64_eq | f64_ne | f64_lt | f64_gt | f64_le | f64_ge | i32_clz | i32_ctz | i32_popcnt | i32_add | i32_sub | i32_mul | i32_div_s | i32_div_u | i32_rem_s | i32_rem_u | i32_and | i32_or | i32_xor | i32_shl | i32_shr_s | i32_shr_u | i32_rotl | i32_rotr | i64_clz | i64_ctz | i64_popcnt | i64_add | i64_sub | i64_mul | i64_div_s | i64_div_u | i64_rem_s | i64_rem_u | i64_and | i64_or | i64_xor | i64_shl | i64_shr_s | i64_shr_u | i64_rotl | i64_rotr | f32_abs | f32_neg | f32_ceil | f32_floor | f32_trunc | f32_nearest | f32_sqrt | f32_add | f32_sub | f32_mul | f32_div | f32_min | f32_max | f32_copysign | f64_abs | f64_neg | f64_ceil | f64_floor | f64_trunc | f64_nearest | f64_sqrt | f64_add | f64_sub | f64_mul | f64_div | f64_min | f64_max | f64_copysign | i32_wrap_i64 | i32_trunc_f32_s | i32_trunc_f32_u | i32_trunc_f64_s | i32_trunc_f64_u | i64_extend_i32_s | i64_extend_i32_u | i64_trunc_f32_s | i64_trunc_f32_u | i64_trunc_f64_s | i64_trunc_f64_u | f32_convert_i32_s | f32_convert_i32_u | f32_convert_i64_s | f32_convert_i64_u | f32_demote_f64 | f64_convert_i32_s | f64_convert_i32_u | f64_convert_i64_s | f64_convert_i64_u | f64_promote_f32 | i32_reinterpret_f32 | i64_reinterpret_f64 | f32_reinterpret_i32 | f64_reinterpret_i64 | i32_extend8_s | i32_extend16_s | i64_extend8_s | i64_extend16_s | i64_extend32_s | i32_trunc_sat_f32_s | i32_trunc_sat_f32_u | i32_trunc_sat_f64_s | i32_trunc_sat_f64_u | i64_trunc_sat_f32_s | i64_trunc_sat_f32_u | i64_trunc_sat_f64_s | i64_trunc_sat_f64_u | memory_init | data_drop | memory_copy | memory_fill | table_init | elem_drop | table_copy | table_grow | table_size | table_fill
""")
def _raise_error609(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'Instruction' rule, at the expression:\n"
' unreachable | nop | Block | Loop | If | br | br_if | br_table | ret | call | call_indirect | ref_null | ref_is_null | ref_func | drop | select | select_t | local_get | local_set | local_tee | global_get | global_set | table_get | table_set | i32_load | i64_load | f32_load | f64_load | i32_load8_s | i32_load8_u | i32_load16_s | i32_load16_u | i64_load8_s | i64_load8_u | i64_load16_s | i64_load16_u | i64_load32_s | i64_load32_u | i32_store | i64_store | f32_store | f64_store | i32_store8 | i32_store16 | i64_store8 | i64_store16 | i64_store32 | memory_size | memory_grow | i32_const | i64_const | f32_const | f64_const | i32_eqz | i32_eq | i32_ne | i32_lt_s | i32_lt_u | i32_gt_s | i32_gt_u | i32_le_s | i32_le_u | i32_ge_s | i32_ge_u | i64_eqz | i64_eq | i64_ne | i64_lt_s | i64_lt_u | i64_gt_s | i64_gt_u | i64_le_s | i64_le_u | i64_ge_s | i64_ge_u | f32_eq | f32_ne | f32_lt | f32_gt | f32_le | f32_ge | f64_eq | f64_ne | f64_lt | f64_gt | f64_le | f64_ge | i32_clz | i32_ctz | i32_popcnt | i32_add | i32_sub | i32_mul | i32_div_s | i32_div_u | i32_rem_s | i32_rem_u | i32_and | i32_or | i32_xor | i32_shl | i32_shr_s | i32_shr_u | i32_rotl | i32_rotr | i64_clz | i64_ctz | i64_popcnt | i64_add | i64_sub | i64_mul | i64_div_s | i64_div_u | i64_rem_s | i64_rem_u | i64_and | i64_or | i64_xor | i64_shl | i64_shr_s | i64_shr_u | i64_rotl | i64_rotr | f32_abs | f32_neg | f32_ceil | f32_floor | f32_trunc | f32_nearest | f32_sqrt | f32_add | f32_sub | f32_mul | f32_div | f32_min | f32_max | f32_copysign | f64_abs | f64_neg | f64_ceil | f64_floor | f64_trunc | f64_nearest | f64_sqrt | f64_add | f64_sub | f64_mul | f64_div | f64_min | f64_max | f64_copysign | i32_wrap_i64 | i32_trunc_f32_s | i32_trunc_f32_u | i32_trunc_f64_s | i32_trunc_f64_u | i64_extend_i32_s | i64_extend_i32_u | i64_trunc_f32_s | i64_trunc_f32_u | i64_trunc_f64_s | i64_trunc_f64_u | f32_convert_i32_s | f32_convert_i32_u | f32_convert_i64_s | f32_convert_i64_u | f32_demote_f64 | f64_convert_i32_s | f64_convert_i32_u | f64_convert_i64_s | f64_convert_i64_u | f64_promote_f32 | i32_reinterpret_f32 | i64_reinterpret_f64 | f32_reinterpret_i32 | f64_reinterpret_i64 | i32_extend8_s | i32_extend16_s | i64_extend8_s | i64_extend16_s | i64_extend32_s | i32_trunc_sat_f32_s | i32_trunc_sat_f32_u | i32_trunc_sat_f64_s | i32_trunc_sat_f64_u | i64_trunc_sat_f32_s | i64_trunc_sat_f32_u | i64_trunc_sat_f64_s | i64_trunc_sat_f64_u | memory_init | data_drop | memory_copy | memory_fill | table_init | elem_drop | table_copy | table_grow | table_size | table_fill\n\n'
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
class unreachable(Node):
"""
class unreachable {
let id: 0x0
}
"""
_fields = ()
id = 0x0
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'unreachable()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_unreachable, fullparse)
def _try_unreachable(_text, _pos):
# Begin Seq
start_pos46 = _pos
while True:
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error812
_status = False
# End Byte
if not (_status):
break
id = _result
_result = unreachable()
_result._metadata.position_info = (start_pos46, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error812(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'unreachable' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class nop(Node):
"""
class nop {
let id: 0x1
}
"""
_fields = ()
id = 0x1
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'nop()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_nop, fullparse)
def _try_nop(_text, _pos):
# Begin Seq
start_pos47 = _pos
while True:
# Begin Byte
# 0x1
if (_pos < len(_text)) and (_text[_pos] == 1):
_result = 1
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error816
_status = False
# End Byte
if not (_status):
break
id = _result
_result = nop()
_result._metadata.position_info = (start_pos47, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error816(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'nop' rule, at the expression:\n"
' 0x1\n\n'
'Expected to match the byte value 0x1'
)
raise ParseError((title + details), _pos, line, col)
class Block(Node):
"""
class Block {
let id: 0x2
type: BlockType
body: Expression
}
"""
_fields = ('type', 'body')
id = 0x2
def __init__(self, type, body):
Node.__init__(self)
self.type = type
self.body = body
def __repr__(self):
return f'Block(type={self.type!r}, body={self.body!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_Block, fullparse)
def _try_Block(_text, _pos):
# Begin Seq
start_pos48 = _pos
while True:
# Begin Byte
# 0x2
if (_pos < len(_text)) and (_text[_pos] == 2):
_result = 2
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error820
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_BlockType, _pos))
# End Ref
if not (_status):
break
type = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Expression, _pos))
# End Ref
if not (_status):
break
body = _result
_result = Block(type, body)
_result._metadata.position_info = (start_pos48, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error820(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'Block' rule, at the expression:\n"
' 0x2\n\n'
'Expected to match the byte value 0x2'
)
raise ParseError((title + details), _pos, line, col)
class Loop(Node):
"""
class Loop {
let id: 0x3
type: BlockType
body: Expression
}
"""
_fields = ('type', 'body')
id = 0x3
def __init__(self, type, body):
Node.__init__(self)
self.type = type
self.body = body
def __repr__(self):
return f'Loop(type={self.type!r}, body={self.body!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_Loop, fullparse)
def _try_Loop(_text, _pos):
# Begin Seq
start_pos49 = _pos
while True:
# Begin Byte
# 0x3
if (_pos < len(_text)) and (_text[_pos] == 3):
_result = 3
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error828
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_BlockType, _pos))
# End Ref
if not (_status):
break
type = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Expression, _pos))
# End Ref
if not (_status):
break
body = _result
_result = Loop(type, body)
_result._metadata.position_info = (start_pos49, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error828(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'Loop' rule, at the expression:\n"
' 0x3\n\n'
'Expected to match the byte value 0x3'
)
raise ParseError((title + details), _pos, line, col)
class If(Node):
"""
class If {
let id: 0x4
type: BlockType
true_case: Instruction* << Expect(0x5 | 0xb)
else_case: Opt(0x5 >> Instruction*) << 0xb
}
"""
_fields = ('type', 'true_case', 'else_case')
id = 0x4
def __init__(self, type, true_case, else_case):
Node.__init__(self)
self.type = type
self.true_case = true_case
self.else_case = else_case
def __repr__(self):
return f'If(type={self.type!r}, true_case={self.true_case!r}, else_case={self.else_case!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_If, fullparse)
def _try_If(_text, _pos):
# Begin Seq
start_pos50 = _pos
while True:
# Begin Byte
# 0x4
if (_pos < len(_text)) and (_text[_pos] == 4):
_result = 4
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error836
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_BlockType, _pos))
# End Ref
if not (_status):
break
type = _result
# Begin Discard
# Instruction* << Expect(0x5 | 0xb)
while True:
# Begin List
# Instruction*
staging18 = []
while True:
checkpoint17 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Instruction, _pos))
# End Ref
if not (_status):
_pos = checkpoint17
break
staging18.append(_result)
_result = staging18
_status = True
# End List
staging19 = _result
# Begin Expect
# Expect(0x5 | 0xb)
backtrack25 = _pos
# Begin Choice
farthest_err12 = _raise_error844
farthest_pos12 = _pos
while True:
# Option 1:
# Begin Byte
# 0x5
if (_pos < len(_text)) and (_text[_pos] == 5):
_result = 5
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error845
_status = False
# End Byte
if _status:
break
# Option 2:
# Begin Byte
# 0xb
if (_pos < len(_text)) and (_text[_pos] == 11):
_result = 11
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error846
_status = False
# End Byte
if _status:
break
_pos = farthest_pos12
_result = farthest_err12
break
# End Choice
if _status:
_pos = backtrack25
# End Expect
if _status:
_result = staging19
break
# End Discard
if not (_status):
break
true_case = _result
# Begin Discard
# Opt(0x5 >> Instruction*) << 0xb
while True:
# Begin Opt
# Opt(0x5 >> Instruction*)
backtrack26 = _pos
# Begin Discard
# 0x5 >> Instruction*
while True:
# Begin Byte
# 0x5
if (_pos < len(_text)) and (_text[_pos] == 5):
_result = 5
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error851
_status = False
# End Byte
if not (_status):
break
# Begin List
# Instruction*
staging20 = []
while True:
checkpoint18 = _pos
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_Instruction, _pos))
# End Ref
if not (_status):
_pos = checkpoint18
break
staging20.append(_result)
_result = staging20
_status = True
# End List
break
# End Discard
if not (_status):
_pos = backtrack26
_result = None
_status = True
# End Opt
staging21 = _result
# Begin Byte
# 0xb
if (_pos < len(_text)) and (_text[_pos] == 11):
_result = 11
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error854
_status = False
# End Byte
if _status:
_result = staging21
break
# End Discard
if not (_status):
break
else_case = _result
_result = If(type, true_case, else_case)
_result._metadata.position_info = (start_pos50, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error836(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'If' rule, at the expression:\n"
' 0x4\n\n'
'Expected to match the byte value 0x4'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error844(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'If' rule, at the expression:\n"
' 0x5 | 0xb\n\n'
'Unexpected input'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error845(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'If' rule, at the expression:\n"
' 0x5\n\n'
'Expected to match the byte value 0x5'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error846(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'If' rule, at the expression:\n"
' 0xb\n\n'
'Expected to match the byte value 0xb'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error851(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'If' rule, at the expression:\n"
' 0x5\n\n'
'Expected to match the byte value 0x5'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error854(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'If' rule, at the expression:\n"
' 0xb\n\n'
'Expected to match the byte value 0xb'
)
raise ParseError((title + details), _pos, line, col)
class br(Node):
"""
class br {
let id: 0xc
label: LabelIndex
}
"""
_fields = ('label',)
id = 0xc
def __init__(self, label):
Node.__init__(self)
self.label = label
def __repr__(self):
return f'br(label={self.label!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_br, fullparse)
def _try_br(_text, _pos):
# Begin Seq
start_pos51 = _pos
while True:
# Begin Byte
# 0xc
if (_pos < len(_text)) and (_text[_pos] == 12):
_result = 12
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error858
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_LabelIndex, _pos))
# End Ref
if not (_status):
break
label = _result
_result = br(label)
_result._metadata.position_info = (start_pos51, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error858(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'br' rule, at the expression:\n"
' 0xc\n\n'
'Expected to match the byte value 0xc'
)
raise ParseError((title + details), _pos, line, col)
class br_if(Node):
"""
class br_if {
let id: 0xd
label: LabelIndex
}
"""
_fields = ('label',)
id = 0xd
def __init__(self, label):
Node.__init__(self)
self.label = label
def __repr__(self):
return f'br_if(label={self.label!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_br_if, fullparse)
def _try_br_if(_text, _pos):
# Begin Seq
start_pos52 = _pos
while True:
# Begin Byte
# 0xd
if (_pos < len(_text)) and (_text[_pos] == 13):
_result = 13
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error864
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_LabelIndex, _pos))
# End Ref
if not (_status):
break
label = _result
_result = br_if(label)
_result._metadata.position_info = (start_pos52, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error864(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'br_if' rule, at the expression:\n"
' 0xd\n\n'
'Expected to match the byte value 0xd'
)
raise ParseError((title + details), _pos, line, col)
class br_table(Node):
"""
class br_table {
let id: 0xe
labels: vec(LabelIndex)
default: LabelIndex
}
"""
_fields = ('labels', 'default')
id = 0xe
def __init__(self, labels, default):
Node.__init__(self)
self.labels = labels
self.default = default
def __repr__(self):
return f'br_table(labels={self.labels!r}, default={self.default!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_br_table, fullparse)
def _try_br_table(_text, _pos):
# Begin Seq
start_pos53 = _pos
while True:
# Begin Byte
# 0xe
if (_pos < len(_text)) and (_text[_pos] == 14):
_result = 14
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error870
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Call
# vec(LabelIndex)
func25 = _ParseFunction(_try_vec, (_try_LabelIndex,), ())
(_status, _result, _pos) = (yield (3, func25, _pos))
# End Call
if not (_status):
break
labels = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_LabelIndex, _pos))
# End Ref
if not (_status):
break
default = _result
_result = br_table(labels, default)
_result._metadata.position_info = (start_pos53, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error870(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'br_table' rule, at the expression:\n"
' 0xe\n\n'
'Expected to match the byte value 0xe'
)
raise ParseError((title + details), _pos, line, col)
class ret(Node):
"""
class ret {
let id: 0xf
}
"""
_fields = ()
id = 0xf
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'ret()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ret, fullparse)
def _try_ret(_text, _pos):
# Begin Seq
start_pos54 = _pos
while True:
# Begin Byte
# 0xf
if (_pos < len(_text)) and (_text[_pos] == 15):
_result = 15
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error880
_status = False
# End Byte
if not (_status):
break
id = _result
_result = ret()
_result._metadata.position_info = (start_pos54, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error880(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ret' rule, at the expression:\n"
' 0xf\n\n'
'Expected to match the byte value 0xf'
)
raise ParseError((title + details), _pos, line, col)
class call(Node):
"""
class call {
let id: 0x10
function: FunctionIndex
}
"""
_fields = ('function',)
id = 0x10
def __init__(self, function):
Node.__init__(self)
self.function = function
def __repr__(self):
return f'call(function={self.function!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_call, fullparse)
def _try_call(_text, _pos):
# Begin Seq
start_pos55 = _pos
while True:
# Begin Byte
# 0x10
if (_pos < len(_text)) and (_text[_pos] == 16):
_result = 16
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error884
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_FunctionIndex, _pos))
# End Ref
if not (_status):
break
function = _result
_result = call(function)
_result._metadata.position_info = (start_pos55, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error884(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'call' rule, at the expression:\n"
' 0x10\n\n'
'Expected to match the byte value 0x10'
)
raise ParseError((title + details), _pos, line, col)
class call_indirect(Node):
"""
class call_indirect {
let id: 0x11
type_index: TypeIndex
table_index: TableIndex
}
"""
_fields = ('type_index', 'table_index')
id = 0x11
def __init__(self, type_index, table_index):
Node.__init__(self)
self.type_index = type_index
self.table_index = table_index
def __repr__(self):
return f'call_indirect(type_index={self.type_index!r}, table_index={self.table_index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_call_indirect, fullparse)
def _try_call_indirect(_text, _pos):
# Begin Seq
start_pos56 = _pos
while True:
# Begin Byte
# 0x11
if (_pos < len(_text)) and (_text[_pos] == 17):
_result = 17
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error890
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TypeIndex, _pos))
# End Ref
if not (_status):
break
type_index = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
table_index = _result
_result = call_indirect(type_index, table_index)
_result._metadata.position_info = (start_pos56, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error890(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'call_indirect' rule, at the expression:\n"
' 0x11\n\n'
'Expected to match the byte value 0x11'
)
raise ParseError((title + details), _pos, line, col)
class ref_null(Node):
"""
class ref_null {
let id: 0xd0
type: ReferenceType
}
"""
_fields = ('type',)
id = 0xd0
def __init__(self, type):
Node.__init__(self)
self.type = type
def __repr__(self):
return f'ref_null(type={self.type!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ref_null, fullparse)
def _try_ref_null(_text, _pos):
# Begin Seq
start_pos57 = _pos
while True:
# Begin Byte
# 0xd0
if (_pos < len(_text)) and (_text[_pos] == 208):
_result = 208
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error898
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ReferenceType, _pos))
# End Ref
if not (_status):
break
type = _result
_result = ref_null(type)
_result._metadata.position_info = (start_pos57, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error898(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ref_null' rule, at the expression:\n"
' 0xd0\n\n'
'Expected to match the byte value 0xd0'
)
raise ParseError((title + details), _pos, line, col)
class ref_is_null(Node):
"""
class ref_is_null {
let id: 0xd1
}
"""
_fields = ()
id = 0xd1
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'ref_is_null()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ref_is_null, fullparse)
def _try_ref_is_null(_text, _pos):
# Begin Seq
start_pos58 = _pos
while True:
# Begin Byte
# 0xd1
if (_pos < len(_text)) and (_text[_pos] == 209):
_result = 209
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error904
_status = False
# End Byte
if not (_status):
break
id = _result
_result = ref_is_null()
_result._metadata.position_info = (start_pos58, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error904(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ref_is_null' rule, at the expression:\n"
' 0xd1\n\n'
'Expected to match the byte value 0xd1'
)
raise ParseError((title + details), _pos, line, col)
class ref_func(Node):
"""
class ref_func {
let id: 0xd2
function: FunctionIndex
}
"""
_fields = ('function',)
id = 0xd2
def __init__(self, function):
Node.__init__(self)
self.function = function
def __repr__(self):
return f'ref_func(function={self.function!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_ref_func, fullparse)
def _try_ref_func(_text, _pos):
# Begin Seq
start_pos59 = _pos
while True:
# Begin Byte
# 0xd2
if (_pos < len(_text)) and (_text[_pos] == 210):
_result = 210
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error908
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_FunctionIndex, _pos))
# End Ref
if not (_status):
break
function = _result
_result = ref_func(function)
_result._metadata.position_info = (start_pos59, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error908(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'ref_func' rule, at the expression:\n"
' 0xd2\n\n'
'Expected to match the byte value 0xd2'
)
raise ParseError((title + details), _pos, line, col)
class drop(Node):
"""
class drop {
let id: 0x1a
}
"""
_fields = ()
id = 0x1a
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'drop()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_drop, fullparse)
def _try_drop(_text, _pos):
# Begin Seq
start_pos60 = _pos
while True:
# Begin Byte
# 0x1a
if (_pos < len(_text)) and (_text[_pos] == 26):
_result = 26
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error914
_status = False
# End Byte
if not (_status):
break
id = _result
_result = drop()
_result._metadata.position_info = (start_pos60, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error914(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'drop' rule, at the expression:\n"
' 0x1a\n\n'
'Expected to match the byte value 0x1a'
)
raise ParseError((title + details), _pos, line, col)
class select(Node):
"""
class select {
let id: 0x1b
}
"""
_fields = ()
id = 0x1b
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'select()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_select, fullparse)
def _try_select(_text, _pos):
# Begin Seq
start_pos61 = _pos
while True:
# Begin Byte
# 0x1b
if (_pos < len(_text)) and (_text[_pos] == 27):
_result = 27
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error918
_status = False
# End Byte
if not (_status):
break
id = _result
_result = select()
_result._metadata.position_info = (start_pos61, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error918(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'select' rule, at the expression:\n"
' 0x1b\n\n'
'Expected to match the byte value 0x1b'
)
raise ParseError((title + details), _pos, line, col)
class select_t(Node):
"""
class select_t {
let id: 0x1c
types: vec(ValueType)
}
"""
_fields = ('types',)
id = 0x1c
def __init__(self, types):
Node.__init__(self)
self.types = types
def __repr__(self):
return f'select_t(types={self.types!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_select_t, fullparse)
def _try_select_t(_text, _pos):
# Begin Seq
start_pos62 = _pos
while True:
# Begin Byte
# 0x1c
if (_pos < len(_text)) and (_text[_pos] == 28):
_result = 28
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error922
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Call
# vec(ValueType)
func26 = _ParseFunction(_try_vec, (_try_ValueType,), ())
(_status, _result, _pos) = (yield (3, func26, _pos))
# End Call
if not (_status):
break
types = _result
_result = select_t(types)
_result._metadata.position_info = (start_pos62, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error922(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'select_t' rule, at the expression:\n"
' 0x1c\n\n'
'Expected to match the byte value 0x1c'
)
raise ParseError((title + details), _pos, line, col)
class local_get(Node):
"""
class local_get {
let id: 0x20
index: LocalIndex
}
"""
_fields = ('index',)
id = 0x20
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'local_get(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_local_get, fullparse)
def _try_local_get(_text, _pos):
# Begin Seq
start_pos63 = _pos
while True:
# Begin Byte
# 0x20
if (_pos < len(_text)) and (_text[_pos] == 32):
_result = 32
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error930
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_LocalIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = local_get(index)
_result._metadata.position_info = (start_pos63, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error930(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'local_get' rule, at the expression:\n"
' 0x20\n\n'
'Expected to match the byte value 0x20'
)
raise ParseError((title + details), _pos, line, col)
class local_set(Node):
"""
class local_set {
let id: 0x21
index: LocalIndex
}
"""
_fields = ('index',)
id = 0x21
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'local_set(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_local_set, fullparse)
def _try_local_set(_text, _pos):
# Begin Seq
start_pos64 = _pos
while True:
# Begin Byte
# 0x21
if (_pos < len(_text)) and (_text[_pos] == 33):
_result = 33
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error936
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_LocalIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = local_set(index)
_result._metadata.position_info = (start_pos64, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error936(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'local_set' rule, at the expression:\n"
' 0x21\n\n'
'Expected to match the byte value 0x21'
)
raise ParseError((title + details), _pos, line, col)
class local_tee(Node):
"""
class local_tee {
let id: 0x22
index: LocalIndex
}
"""
_fields = ('index',)
id = 0x22
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'local_tee(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_local_tee, fullparse)
def _try_local_tee(_text, _pos):
# Begin Seq
start_pos65 = _pos
while True:
# Begin Byte
# 0x22
if (_pos < len(_text)) and (_text[_pos] == 34):
_result = 34
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error942
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_LocalIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = local_tee(index)
_result._metadata.position_info = (start_pos65, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error942(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'local_tee' rule, at the expression:\n"
' 0x22\n\n'
'Expected to match the byte value 0x22'
)
raise ParseError((title + details), _pos, line, col)
class global_get(Node):
"""
class global_get {
let id: 0x23
index: GlobalIndex
}
"""
_fields = ('index',)
id = 0x23
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'global_get(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_global_get, fullparse)
def _try_global_get(_text, _pos):
# Begin Seq
start_pos66 = _pos
while True:
# Begin Byte
# 0x23
if (_pos < len(_text)) and (_text[_pos] == 35):
_result = 35
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error948
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_GlobalIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = global_get(index)
_result._metadata.position_info = (start_pos66, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error948(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'global_get' rule, at the expression:\n"
' 0x23\n\n'
'Expected to match the byte value 0x23'
)
raise ParseError((title + details), _pos, line, col)
class global_set(Node):
"""
class global_set {
let id: 0x24
index: GlobalIndex
}
"""
_fields = ('index',)
id = 0x24
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'global_set(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_global_set, fullparse)
def _try_global_set(_text, _pos):
# Begin Seq
start_pos67 = _pos
while True:
# Begin Byte
# 0x24
if (_pos < len(_text)) and (_text[_pos] == 36):
_result = 36
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error954
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_GlobalIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = global_set(index)
_result._metadata.position_info = (start_pos67, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error954(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'global_set' rule, at the expression:\n"
' 0x24\n\n'
'Expected to match the byte value 0x24'
)
raise ParseError((title + details), _pos, line, col)
class table_get(Node):
"""
class table_get {
let id: 0x25
index: TableIndex
}
"""
_fields = ('index',)
id = 0x25
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'table_get(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_table_get, fullparse)
def _try_table_get(_text, _pos):
# Begin Seq
start_pos68 = _pos
while True:
# Begin Byte
# 0x25
if (_pos < len(_text)) and (_text[_pos] == 37):
_result = 37
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error960
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = table_get(index)
_result._metadata.position_info = (start_pos68, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error960(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_get' rule, at the expression:\n"
' 0x25\n\n'
'Expected to match the byte value 0x25'
)
raise ParseError((title + details), _pos, line, col)
class table_set(Node):
"""
class table_set {
let id: 0x26
index: TableIndex
}
"""
_fields = ('index',)
id = 0x26
def __init__(self, index):
Node.__init__(self)
self.index = index
def __repr__(self):
return f'table_set(index={self.index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_table_set, fullparse)
def _try_table_set(_text, _pos):
# Begin Seq
start_pos69 = _pos
while True:
# Begin Byte
# 0x26
if (_pos < len(_text)) and (_text[_pos] == 38):
_result = 38
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error966
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
index = _result
_result = table_set(index)
_result._metadata.position_info = (start_pos69, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error966(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_set' rule, at the expression:\n"
' 0x26\n\n'
'Expected to match the byte value 0x26'
)
raise ParseError((title + details), _pos, line, col)
class i32_load(Node):
"""
class i32_load {
let id: 0x28
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x28
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i32_load(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_load, fullparse)
def _try_i32_load(_text, _pos):
# Begin Seq
start_pos70 = _pos
while True:
# Begin Byte
# 0x28
if (_pos < len(_text)) and (_text[_pos] == 40):
_result = 40
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error972
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i32_load(align, offset)
_result._metadata.position_info = (start_pos70, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error972(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_load' rule, at the expression:\n"
' 0x28\n\n'
'Expected to match the byte value 0x28'
)
raise ParseError((title + details), _pos, line, col)
class i64_load(Node):
"""
class i64_load {
let id: 0x29
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x29
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_load(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_load, fullparse)
def _try_i64_load(_text, _pos):
# Begin Seq
start_pos71 = _pos
while True:
# Begin Byte
# 0x29
if (_pos < len(_text)) and (_text[_pos] == 41):
_result = 41
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error980
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_load(align, offset)
_result._metadata.position_info = (start_pos71, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error980(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_load' rule, at the expression:\n"
' 0x29\n\n'
'Expected to match the byte value 0x29'
)
raise ParseError((title + details), _pos, line, col)
class f32_load(Node):
"""
class f32_load {
let id: 0x2a
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x2a
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'f32_load(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_load, fullparse)
def _try_f32_load(_text, _pos):
# Begin Seq
start_pos72 = _pos
while True:
# Begin Byte
# 0x2a
if (_pos < len(_text)) and (_text[_pos] == 42):
_result = 42
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error988
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = f32_load(align, offset)
_result._metadata.position_info = (start_pos72, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error988(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_load' rule, at the expression:\n"
' 0x2a\n\n'
'Expected to match the byte value 0x2a'
)
raise ParseError((title + details), _pos, line, col)
class f64_load(Node):
"""
class f64_load {
let id: 0x2b
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x2b
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'f64_load(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_load, fullparse)
def _try_f64_load(_text, _pos):
# Begin Seq
start_pos73 = _pos
while True:
# Begin Byte
# 0x2b
if (_pos < len(_text)) and (_text[_pos] == 43):
_result = 43
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error996
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = f64_load(align, offset)
_result._metadata.position_info = (start_pos73, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error996(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_load' rule, at the expression:\n"
' 0x2b\n\n'
'Expected to match the byte value 0x2b'
)
raise ParseError((title + details), _pos, line, col)
class i32_load8_s(Node):
"""
class i32_load8_s {
let id: 0x2c
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x2c
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i32_load8_s(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_load8_s, fullparse)
def _try_i32_load8_s(_text, _pos):
# Begin Seq
start_pos74 = _pos
while True:
# Begin Byte
# 0x2c
if (_pos < len(_text)) and (_text[_pos] == 44):
_result = 44
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1004
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i32_load8_s(align, offset)
_result._metadata.position_info = (start_pos74, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1004(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_load8_s' rule, at the expression:\n"
' 0x2c\n\n'
'Expected to match the byte value 0x2c'
)
raise ParseError((title + details), _pos, line, col)
class i32_load8_u(Node):
"""
class i32_load8_u {
let id: 0x2d
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x2d
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i32_load8_u(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_load8_u, fullparse)
def _try_i32_load8_u(_text, _pos):
# Begin Seq
start_pos75 = _pos
while True:
# Begin Byte
# 0x2d
if (_pos < len(_text)) and (_text[_pos] == 45):
_result = 45
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1012
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i32_load8_u(align, offset)
_result._metadata.position_info = (start_pos75, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1012(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_load8_u' rule, at the expression:\n"
' 0x2d\n\n'
'Expected to match the byte value 0x2d'
)
raise ParseError((title + details), _pos, line, col)
class i32_load16_s(Node):
"""
class i32_load16_s {
let id: 0x2e
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x2e
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i32_load16_s(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_load16_s, fullparse)
def _try_i32_load16_s(_text, _pos):
# Begin Seq
start_pos76 = _pos
while True:
# Begin Byte
# 0x2e
if (_pos < len(_text)) and (_text[_pos] == 46):
_result = 46
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1020
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i32_load16_s(align, offset)
_result._metadata.position_info = (start_pos76, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1020(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_load16_s' rule, at the expression:\n"
' 0x2e\n\n'
'Expected to match the byte value 0x2e'
)
raise ParseError((title + details), _pos, line, col)
class i32_load16_u(Node):
"""
class i32_load16_u {
let id: 0x2f
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x2f
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i32_load16_u(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_load16_u, fullparse)
def _try_i32_load16_u(_text, _pos):
# Begin Seq
start_pos77 = _pos
while True:
# Begin Byte
# 0x2f
if (_pos < len(_text)) and (_text[_pos] == 47):
_result = 47
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1028
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i32_load16_u(align, offset)
_result._metadata.position_info = (start_pos77, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1028(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_load16_u' rule, at the expression:\n"
' 0x2f\n\n'
'Expected to match the byte value 0x2f'
)
raise ParseError((title + details), _pos, line, col)
class i64_load8_s(Node):
"""
class i64_load8_s {
let id: 0x30
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x30
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_load8_s(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_load8_s, fullparse)
def _try_i64_load8_s(_text, _pos):
# Begin Seq
start_pos78 = _pos
while True:
# Begin Byte
# 0x30
if (_pos < len(_text)) and (_text[_pos] == 48):
_result = 48
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1036
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_load8_s(align, offset)
_result._metadata.position_info = (start_pos78, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1036(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_load8_s' rule, at the expression:\n"
' 0x30\n\n'
'Expected to match the byte value 0x30'
)
raise ParseError((title + details), _pos, line, col)
class i64_load8_u(Node):
"""
class i64_load8_u {
let id: 0x31
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x31
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_load8_u(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_load8_u, fullparse)
def _try_i64_load8_u(_text, _pos):
# Begin Seq
start_pos79 = _pos
while True:
# Begin Byte
# 0x31
if (_pos < len(_text)) and (_text[_pos] == 49):
_result = 49
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1044
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_load8_u(align, offset)
_result._metadata.position_info = (start_pos79, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1044(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_load8_u' rule, at the expression:\n"
' 0x31\n\n'
'Expected to match the byte value 0x31'
)
raise ParseError((title + details), _pos, line, col)
class i64_load16_s(Node):
"""
class i64_load16_s {
let id: 0x32
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x32
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_load16_s(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_load16_s, fullparse)
def _try_i64_load16_s(_text, _pos):
# Begin Seq
start_pos80 = _pos
while True:
# Begin Byte
# 0x32
if (_pos < len(_text)) and (_text[_pos] == 50):
_result = 50
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1052
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_load16_s(align, offset)
_result._metadata.position_info = (start_pos80, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1052(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_load16_s' rule, at the expression:\n"
' 0x32\n\n'
'Expected to match the byte value 0x32'
)
raise ParseError((title + details), _pos, line, col)
class i64_load16_u(Node):
"""
class i64_load16_u {
let id: 0x33
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x33
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_load16_u(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_load16_u, fullparse)
def _try_i64_load16_u(_text, _pos):
# Begin Seq
start_pos81 = _pos
while True:
# Begin Byte
# 0x33
if (_pos < len(_text)) and (_text[_pos] == 51):
_result = 51
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1060
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_load16_u(align, offset)
_result._metadata.position_info = (start_pos81, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1060(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_load16_u' rule, at the expression:\n"
' 0x33\n\n'
'Expected to match the byte value 0x33'
)
raise ParseError((title + details), _pos, line, col)
class i64_load32_s(Node):
"""
class i64_load32_s {
let id: 0x34
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x34
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_load32_s(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_load32_s, fullparse)
def _try_i64_load32_s(_text, _pos):
# Begin Seq
start_pos82 = _pos
while True:
# Begin Byte
# 0x34
if (_pos < len(_text)) and (_text[_pos] == 52):
_result = 52
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1068
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_load32_s(align, offset)
_result._metadata.position_info = (start_pos82, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1068(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_load32_s' rule, at the expression:\n"
' 0x34\n\n'
'Expected to match the byte value 0x34'
)
raise ParseError((title + details), _pos, line, col)
class i64_load32_u(Node):
"""
class i64_load32_u {
let id: 0x35
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x35
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_load32_u(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_load32_u, fullparse)
def _try_i64_load32_u(_text, _pos):
# Begin Seq
start_pos83 = _pos
while True:
# Begin Byte
# 0x35
if (_pos < len(_text)) and (_text[_pos] == 53):
_result = 53
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1076
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_load32_u(align, offset)
_result._metadata.position_info = (start_pos83, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1076(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_load32_u' rule, at the expression:\n"
' 0x35\n\n'
'Expected to match the byte value 0x35'
)
raise ParseError((title + details), _pos, line, col)
class i32_store(Node):
"""
class i32_store {
let id: 0x36
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x36
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i32_store(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_store, fullparse)
def _try_i32_store(_text, _pos):
# Begin Seq
start_pos84 = _pos
while True:
# Begin Byte
# 0x36
if (_pos < len(_text)) and (_text[_pos] == 54):
_result = 54
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1084
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i32_store(align, offset)
_result._metadata.position_info = (start_pos84, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1084(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_store' rule, at the expression:\n"
' 0x36\n\n'
'Expected to match the byte value 0x36'
)
raise ParseError((title + details), _pos, line, col)
class i64_store(Node):
"""
class i64_store {
let id: 0x37
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x37
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_store(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_store, fullparse)
def _try_i64_store(_text, _pos):
# Begin Seq
start_pos85 = _pos
while True:
# Begin Byte
# 0x37
if (_pos < len(_text)) and (_text[_pos] == 55):
_result = 55
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1092
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_store(align, offset)
_result._metadata.position_info = (start_pos85, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1092(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_store' rule, at the expression:\n"
' 0x37\n\n'
'Expected to match the byte value 0x37'
)
raise ParseError((title + details), _pos, line, col)
class f32_store(Node):
"""
class f32_store {
let id: 0x38
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x38
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'f32_store(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_store, fullparse)
def _try_f32_store(_text, _pos):
# Begin Seq
start_pos86 = _pos
while True:
# Begin Byte
# 0x38
if (_pos < len(_text)) and (_text[_pos] == 56):
_result = 56
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1100
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = f32_store(align, offset)
_result._metadata.position_info = (start_pos86, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1100(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_store' rule, at the expression:\n"
' 0x38\n\n'
'Expected to match the byte value 0x38'
)
raise ParseError((title + details), _pos, line, col)
class f64_store(Node):
"""
class f64_store {
let id: 0x39
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x39
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'f64_store(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_store, fullparse)
def _try_f64_store(_text, _pos):
# Begin Seq
start_pos87 = _pos
while True:
# Begin Byte
# 0x39
if (_pos < len(_text)) and (_text[_pos] == 57):
_result = 57
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1108
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = f64_store(align, offset)
_result._metadata.position_info = (start_pos87, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1108(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_store' rule, at the expression:\n"
' 0x39\n\n'
'Expected to match the byte value 0x39'
)
raise ParseError((title + details), _pos, line, col)
class i32_store8(Node):
"""
class i32_store8 {
let id: 0x3a
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x3a
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i32_store8(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_store8, fullparse)
def _try_i32_store8(_text, _pos):
# Begin Seq
start_pos88 = _pos
while True:
# Begin Byte
# 0x3a
if (_pos < len(_text)) and (_text[_pos] == 58):
_result = 58
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1116
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i32_store8(align, offset)
_result._metadata.position_info = (start_pos88, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1116(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_store8' rule, at the expression:\n"
' 0x3a\n\n'
'Expected to match the byte value 0x3a'
)
raise ParseError((title + details), _pos, line, col)
class i32_store16(Node):
"""
class i32_store16 {
let id: 0x3b
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x3b
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i32_store16(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_store16, fullparse)
def _try_i32_store16(_text, _pos):
# Begin Seq
start_pos89 = _pos
while True:
# Begin Byte
# 0x3b
if (_pos < len(_text)) and (_text[_pos] == 59):
_result = 59
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1124
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i32_store16(align, offset)
_result._metadata.position_info = (start_pos89, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1124(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_store16' rule, at the expression:\n"
' 0x3b\n\n'
'Expected to match the byte value 0x3b'
)
raise ParseError((title + details), _pos, line, col)
class i64_store8(Node):
"""
class i64_store8 {
let id: 0x3c
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x3c
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_store8(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_store8, fullparse)
def _try_i64_store8(_text, _pos):
# Begin Seq
start_pos90 = _pos
while True:
# Begin Byte
# 0x3c
if (_pos < len(_text)) and (_text[_pos] == 60):
_result = 60
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1132
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_store8(align, offset)
_result._metadata.position_info = (start_pos90, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1132(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_store8' rule, at the expression:\n"
' 0x3c\n\n'
'Expected to match the byte value 0x3c'
)
raise ParseError((title + details), _pos, line, col)
class i64_store16(Node):
"""
class i64_store16 {
let id: 0x3d
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x3d
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_store16(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_store16, fullparse)
def _try_i64_store16(_text, _pos):
# Begin Seq
start_pos91 = _pos
while True:
# Begin Byte
# 0x3d
if (_pos < len(_text)) and (_text[_pos] == 61):
_result = 61
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1140
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_store16(align, offset)
_result._metadata.position_info = (start_pos91, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1140(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_store16' rule, at the expression:\n"
' 0x3d\n\n'
'Expected to match the byte value 0x3d'
)
raise ParseError((title + details), _pos, line, col)
class i64_store32(Node):
"""
class i64_store32 {
let id: 0x3e
align: u32
offset: u32
}
"""
_fields = ('align', 'offset')
id = 0x3e
def __init__(self, align, offset):
Node.__init__(self)
self.align = align
self.offset = offset
def __repr__(self):
return f'i64_store32(align={self.align!r}, offset={self.offset!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_store32, fullparse)
def _try_i64_store32(_text, _pos):
# Begin Seq
start_pos92 = _pos
while True:
# Begin Byte
# 0x3e
if (_pos < len(_text)) and (_text[_pos] == 62):
_result = 62
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1148
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
align = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_u32, _pos))
# End Ref
if not (_status):
break
offset = _result
_result = i64_store32(align, offset)
_result._metadata.position_info = (start_pos92, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1148(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_store32' rule, at the expression:\n"
' 0x3e\n\n'
'Expected to match the byte value 0x3e'
)
raise ParseError((title + details), _pos, line, col)
class memory_size(Node):
"""
class memory_size {
let id: 0x3f
let zero: 0x0
}
"""
_fields = ()
id = 0x3f
zero = 0x0
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'memory_size()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_memory_size, fullparse)
def _try_memory_size(_text, _pos):
# Begin Seq
start_pos93 = _pos
while True:
# Begin Byte
# 0x3f
if (_pos < len(_text)) and (_text[_pos] == 63):
_result = 63
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1156
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1158
_status = False
# End Byte
if not (_status):
break
zero = _result
_result = memory_size()
_result._metadata.position_info = (start_pos93, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1156(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_size' rule, at the expression:\n"
' 0x3f\n\n'
'Expected to match the byte value 0x3f'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1158(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_size' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class memory_grow(Node):
"""
class memory_grow {
let id: 0x40
let zero: 0x0
}
"""
_fields = ()
id = 0x40
zero = 0x0
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'memory_grow()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_memory_grow, fullparse)
def _try_memory_grow(_text, _pos):
# Begin Seq
start_pos94 = _pos
while True:
# Begin Byte
# 0x40
if (_pos < len(_text)) and (_text[_pos] == 64):
_result = 64
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1162
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1164
_status = False
# End Byte
if not (_status):
break
zero = _result
_result = memory_grow()
_result._metadata.position_info = (start_pos94, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1162(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_grow' rule, at the expression:\n"
' 0x40\n\n'
'Expected to match the byte value 0x40'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1164(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_grow' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class i32_const(Node):
"""
class i32_const {
let id: 0x41
number: i32
}
"""
_fields = ('number',)
id = 0x41
def __init__(self, number):
Node.__init__(self)
self.number = number
def __repr__(self):
return f'i32_const(number={self.number!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_const, fullparse)
def _try_i32_const(_text, _pos):
# Begin Seq
start_pos95 = _pos
while True:
# Begin Byte
# 0x41
if (_pos < len(_text)) and (_text[_pos] == 65):
_result = 65
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1168
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i32, _pos))
# End Ref
if not (_status):
break
number = _result
_result = i32_const(number)
_result._metadata.position_info = (start_pos95, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1168(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_const' rule, at the expression:\n"
' 0x41\n\n'
'Expected to match the byte value 0x41'
)
raise ParseError((title + details), _pos, line, col)
class i64_const(Node):
"""
class i64_const {
let id: 0x42
number: i64
}
"""
_fields = ('number',)
id = 0x42
def __init__(self, number):
Node.__init__(self)
self.number = number
def __repr__(self):
return f'i64_const(number={self.number!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_const, fullparse)
def _try_i64_const(_text, _pos):
# Begin Seq
start_pos96 = _pos
while True:
# Begin Byte
# 0x42
if (_pos < len(_text)) and (_text[_pos] == 66):
_result = 66
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1174
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_i64, _pos))
# End Ref
if not (_status):
break
number = _result
_result = i64_const(number)
_result._metadata.position_info = (start_pos96, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1174(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_const' rule, at the expression:\n"
' 0x42\n\n'
'Expected to match the byte value 0x42'
)
raise ParseError((title + details), _pos, line, col)
class f32_const(Node):
"""
class f32_const {
let id: 0x43
number: f32
}
"""
_fields = ('number',)
id = 0x43
def __init__(self, number):
Node.__init__(self)
self.number = number
def __repr__(self):
return f'f32_const(number={self.number!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_const, fullparse)
def _try_f32_const(_text, _pos):
# Begin Seq
start_pos97 = _pos
while True:
# Begin Byte
# 0x43
if (_pos < len(_text)) and (_text[_pos] == 67):
_result = 67
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1180
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f32, _pos))
# End Ref
if not (_status):
break
number = _result
_result = f32_const(number)
_result._metadata.position_info = (start_pos97, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1180(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_const' rule, at the expression:\n"
' 0x43\n\n'
'Expected to match the byte value 0x43'
)
raise ParseError((title + details), _pos, line, col)
class f64_const(Node):
"""
class f64_const {
let id: 0x44
number: f64
}
"""
_fields = ('number',)
id = 0x44
def __init__(self, number):
Node.__init__(self)
self.number = number
def __repr__(self):
return f'f64_const(number={self.number!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_const, fullparse)
def _try_f64_const(_text, _pos):
# Begin Seq
start_pos98 = _pos
while True:
# Begin Byte
# 0x44
if (_pos < len(_text)) and (_text[_pos] == 68):
_result = 68
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1186
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_f64, _pos))
# End Ref
if not (_status):
break
number = _result
_result = f64_const(number)
_result._metadata.position_info = (start_pos98, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1186(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_const' rule, at the expression:\n"
' 0x44\n\n'
'Expected to match the byte value 0x44'
)
raise ParseError((title + details), _pos, line, col)
class i32_eqz(Node):
"""
class i32_eqz {
let id: 0x45
}
"""
_fields = ()
id = 0x45
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_eqz()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_eqz, fullparse)
def _try_i32_eqz(_text, _pos):
# Begin Seq
start_pos99 = _pos
while True:
# Begin Byte
# 0x45
if (_pos < len(_text)) and (_text[_pos] == 69):
_result = 69
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1192
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_eqz()
_result._metadata.position_info = (start_pos99, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1192(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_eqz' rule, at the expression:\n"
' 0x45\n\n'
'Expected to match the byte value 0x45'
)
raise ParseError((title + details), _pos, line, col)
class i32_eq(Node):
"""
class i32_eq {
let id: 0x46
}
"""
_fields = ()
id = 0x46
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_eq()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_eq, fullparse)
def _try_i32_eq(_text, _pos):
# Begin Seq
start_pos100 = _pos
while True:
# Begin Byte
# 0x46
if (_pos < len(_text)) and (_text[_pos] == 70):
_result = 70
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1196
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_eq()
_result._metadata.position_info = (start_pos100, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1196(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_eq' rule, at the expression:\n"
' 0x46\n\n'
'Expected to match the byte value 0x46'
)
raise ParseError((title + details), _pos, line, col)
class i32_ne(Node):
"""
class i32_ne {
let id: 0x47
}
"""
_fields = ()
id = 0x47
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_ne()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_ne, fullparse)
def _try_i32_ne(_text, _pos):
# Begin Seq
start_pos101 = _pos
while True:
# Begin Byte
# 0x47
if (_pos < len(_text)) and (_text[_pos] == 71):
_result = 71
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1200
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_ne()
_result._metadata.position_info = (start_pos101, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1200(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_ne' rule, at the expression:\n"
' 0x47\n\n'
'Expected to match the byte value 0x47'
)
raise ParseError((title + details), _pos, line, col)
class i32_lt_s(Node):
"""
class i32_lt_s {
let id: 0x48
}
"""
_fields = ()
id = 0x48
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_lt_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_lt_s, fullparse)
def _try_i32_lt_s(_text, _pos):
# Begin Seq
start_pos102 = _pos
while True:
# Begin Byte
# 0x48
if (_pos < len(_text)) and (_text[_pos] == 72):
_result = 72
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1204
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_lt_s()
_result._metadata.position_info = (start_pos102, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1204(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_lt_s' rule, at the expression:\n"
' 0x48\n\n'
'Expected to match the byte value 0x48'
)
raise ParseError((title + details), _pos, line, col)
class i32_lt_u(Node):
"""
class i32_lt_u {
let id: 0x49
}
"""
_fields = ()
id = 0x49
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_lt_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_lt_u, fullparse)
def _try_i32_lt_u(_text, _pos):
# Begin Seq
start_pos103 = _pos
while True:
# Begin Byte
# 0x49
if (_pos < len(_text)) and (_text[_pos] == 73):
_result = 73
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1208
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_lt_u()
_result._metadata.position_info = (start_pos103, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1208(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_lt_u' rule, at the expression:\n"
' 0x49\n\n'
'Expected to match the byte value 0x49'
)
raise ParseError((title + details), _pos, line, col)
class i32_gt_s(Node):
"""
class i32_gt_s {
let id: 0x4a
}
"""
_fields = ()
id = 0x4a
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_gt_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_gt_s, fullparse)
def _try_i32_gt_s(_text, _pos):
# Begin Seq
start_pos104 = _pos
while True:
# Begin Byte
# 0x4a
if (_pos < len(_text)) and (_text[_pos] == 74):
_result = 74
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1212
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_gt_s()
_result._metadata.position_info = (start_pos104, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1212(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_gt_s' rule, at the expression:\n"
' 0x4a\n\n'
'Expected to match the byte value 0x4a'
)
raise ParseError((title + details), _pos, line, col)
class i32_gt_u(Node):
"""
class i32_gt_u {
let id: 0x4b
}
"""
_fields = ()
id = 0x4b
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_gt_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_gt_u, fullparse)
def _try_i32_gt_u(_text, _pos):
# Begin Seq
start_pos105 = _pos
while True:
# Begin Byte
# 0x4b
if (_pos < len(_text)) and (_text[_pos] == 75):
_result = 75
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1216
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_gt_u()
_result._metadata.position_info = (start_pos105, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1216(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_gt_u' rule, at the expression:\n"
' 0x4b\n\n'
'Expected to match the byte value 0x4b'
)
raise ParseError((title + details), _pos, line, col)
class i32_le_s(Node):
"""
class i32_le_s {
let id: 0x4c
}
"""
_fields = ()
id = 0x4c
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_le_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_le_s, fullparse)
def _try_i32_le_s(_text, _pos):
# Begin Seq
start_pos106 = _pos
while True:
# Begin Byte
# 0x4c
if (_pos < len(_text)) and (_text[_pos] == 76):
_result = 76
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1220
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_le_s()
_result._metadata.position_info = (start_pos106, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1220(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_le_s' rule, at the expression:\n"
' 0x4c\n\n'
'Expected to match the byte value 0x4c'
)
raise ParseError((title + details), _pos, line, col)
class i32_le_u(Node):
"""
class i32_le_u {
let id: 0x4d
}
"""
_fields = ()
id = 0x4d
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_le_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_le_u, fullparse)
def _try_i32_le_u(_text, _pos):
# Begin Seq
start_pos107 = _pos
while True:
# Begin Byte
# 0x4d
if (_pos < len(_text)) and (_text[_pos] == 77):
_result = 77
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1224
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_le_u()
_result._metadata.position_info = (start_pos107, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1224(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_le_u' rule, at the expression:\n"
' 0x4d\n\n'
'Expected to match the byte value 0x4d'
)
raise ParseError((title + details), _pos, line, col)
class i32_ge_s(Node):
"""
class i32_ge_s {
let id: 0x4e
}
"""
_fields = ()
id = 0x4e
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_ge_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_ge_s, fullparse)
def _try_i32_ge_s(_text, _pos):
# Begin Seq
start_pos108 = _pos
while True:
# Begin Byte
# 0x4e
if (_pos < len(_text)) and (_text[_pos] == 78):
_result = 78
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1228
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_ge_s()
_result._metadata.position_info = (start_pos108, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1228(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_ge_s' rule, at the expression:\n"
' 0x4e\n\n'
'Expected to match the byte value 0x4e'
)
raise ParseError((title + details), _pos, line, col)
class i32_ge_u(Node):
"""
class i32_ge_u {
let id: 0x4f
}
"""
_fields = ()
id = 0x4f
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_ge_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_ge_u, fullparse)
def _try_i32_ge_u(_text, _pos):
# Begin Seq
start_pos109 = _pos
while True:
# Begin Byte
# 0x4f
if (_pos < len(_text)) and (_text[_pos] == 79):
_result = 79
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1232
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_ge_u()
_result._metadata.position_info = (start_pos109, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1232(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_ge_u' rule, at the expression:\n"
' 0x4f\n\n'
'Expected to match the byte value 0x4f'
)
raise ParseError((title + details), _pos, line, col)
class i64_eqz(Node):
"""
class i64_eqz {
let id: 0x50
}
"""
_fields = ()
id = 0x50
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_eqz()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_eqz, fullparse)
def _try_i64_eqz(_text, _pos):
# Begin Seq
start_pos110 = _pos
while True:
# Begin Byte
# 0x50
if (_pos < len(_text)) and (_text[_pos] == 80):
_result = 80
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1236
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_eqz()
_result._metadata.position_info = (start_pos110, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1236(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_eqz' rule, at the expression:\n"
' 0x50\n\n'
'Expected to match the byte value 0x50'
)
raise ParseError((title + details), _pos, line, col)
class i64_eq(Node):
"""
class i64_eq {
let id: 0x51
}
"""
_fields = ()
id = 0x51
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_eq()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_eq, fullparse)
def _try_i64_eq(_text, _pos):
# Begin Seq
start_pos111 = _pos
while True:
# Begin Byte
# 0x51
if (_pos < len(_text)) and (_text[_pos] == 81):
_result = 81
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1240
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_eq()
_result._metadata.position_info = (start_pos111, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1240(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_eq' rule, at the expression:\n"
' 0x51\n\n'
'Expected to match the byte value 0x51'
)
raise ParseError((title + details), _pos, line, col)
class i64_ne(Node):
"""
class i64_ne {
let id: 0x52
}
"""
_fields = ()
id = 0x52
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_ne()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_ne, fullparse)
def _try_i64_ne(_text, _pos):
# Begin Seq
start_pos112 = _pos
while True:
# Begin Byte
# 0x52
if (_pos < len(_text)) and (_text[_pos] == 82):
_result = 82
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1244
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_ne()
_result._metadata.position_info = (start_pos112, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1244(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_ne' rule, at the expression:\n"
' 0x52\n\n'
'Expected to match the byte value 0x52'
)
raise ParseError((title + details), _pos, line, col)
class i64_lt_s(Node):
"""
class i64_lt_s {
let id: 0x53
}
"""
_fields = ()
id = 0x53
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_lt_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_lt_s, fullparse)
def _try_i64_lt_s(_text, _pos):
# Begin Seq
start_pos113 = _pos
while True:
# Begin Byte
# 0x53
if (_pos < len(_text)) and (_text[_pos] == 83):
_result = 83
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1248
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_lt_s()
_result._metadata.position_info = (start_pos113, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1248(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_lt_s' rule, at the expression:\n"
' 0x53\n\n'
'Expected to match the byte value 0x53'
)
raise ParseError((title + details), _pos, line, col)
class i64_lt_u(Node):
"""
class i64_lt_u {
let id: 0x54
}
"""
_fields = ()
id = 0x54
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_lt_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_lt_u, fullparse)
def _try_i64_lt_u(_text, _pos):
# Begin Seq
start_pos114 = _pos
while True:
# Begin Byte
# 0x54
if (_pos < len(_text)) and (_text[_pos] == 84):
_result = 84
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1252
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_lt_u()
_result._metadata.position_info = (start_pos114, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1252(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_lt_u' rule, at the expression:\n"
' 0x54\n\n'
'Expected to match the byte value 0x54'
)
raise ParseError((title + details), _pos, line, col)
class i64_gt_s(Node):
"""
class i64_gt_s {
let id: 0x55
}
"""
_fields = ()
id = 0x55
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_gt_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_gt_s, fullparse)
def _try_i64_gt_s(_text, _pos):
# Begin Seq
start_pos115 = _pos
while True:
# Begin Byte
# 0x55
if (_pos < len(_text)) and (_text[_pos] == 85):
_result = 85
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1256
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_gt_s()
_result._metadata.position_info = (start_pos115, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1256(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_gt_s' rule, at the expression:\n"
' 0x55\n\n'
'Expected to match the byte value 0x55'
)
raise ParseError((title + details), _pos, line, col)
class i64_gt_u(Node):
"""
class i64_gt_u {
let id: 0x56
}
"""
_fields = ()
id = 0x56
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_gt_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_gt_u, fullparse)
def _try_i64_gt_u(_text, _pos):
# Begin Seq
start_pos116 = _pos
while True:
# Begin Byte
# 0x56
if (_pos < len(_text)) and (_text[_pos] == 86):
_result = 86
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1260
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_gt_u()
_result._metadata.position_info = (start_pos116, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1260(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_gt_u' rule, at the expression:\n"
' 0x56\n\n'
'Expected to match the byte value 0x56'
)
raise ParseError((title + details), _pos, line, col)
class i64_le_s(Node):
"""
class i64_le_s {
let id: 0x57
}
"""
_fields = ()
id = 0x57
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_le_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_le_s, fullparse)
def _try_i64_le_s(_text, _pos):
# Begin Seq
start_pos117 = _pos
while True:
# Begin Byte
# 0x57
if (_pos < len(_text)) and (_text[_pos] == 87):
_result = 87
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1264
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_le_s()
_result._metadata.position_info = (start_pos117, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1264(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_le_s' rule, at the expression:\n"
' 0x57\n\n'
'Expected to match the byte value 0x57'
)
raise ParseError((title + details), _pos, line, col)
class i64_le_u(Node):
"""
class i64_le_u {
let id: 0x58
}
"""
_fields = ()
id = 0x58
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_le_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_le_u, fullparse)
def _try_i64_le_u(_text, _pos):
# Begin Seq
start_pos118 = _pos
while True:
# Begin Byte
# 0x58
if (_pos < len(_text)) and (_text[_pos] == 88):
_result = 88
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1268
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_le_u()
_result._metadata.position_info = (start_pos118, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1268(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_le_u' rule, at the expression:\n"
' 0x58\n\n'
'Expected to match the byte value 0x58'
)
raise ParseError((title + details), _pos, line, col)
class i64_ge_s(Node):
"""
class i64_ge_s {
let id: 0x59
}
"""
_fields = ()
id = 0x59
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_ge_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_ge_s, fullparse)
def _try_i64_ge_s(_text, _pos):
# Begin Seq
start_pos119 = _pos
while True:
# Begin Byte
# 0x59
if (_pos < len(_text)) and (_text[_pos] == 89):
_result = 89
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1272
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_ge_s()
_result._metadata.position_info = (start_pos119, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1272(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_ge_s' rule, at the expression:\n"
' 0x59\n\n'
'Expected to match the byte value 0x59'
)
raise ParseError((title + details), _pos, line, col)
class i64_ge_u(Node):
"""
class i64_ge_u {
let id: 0x5a
}
"""
_fields = ()
id = 0x5a
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_ge_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_ge_u, fullparse)
def _try_i64_ge_u(_text, _pos):
# Begin Seq
start_pos120 = _pos
while True:
# Begin Byte
# 0x5a
if (_pos < len(_text)) and (_text[_pos] == 90):
_result = 90
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1276
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_ge_u()
_result._metadata.position_info = (start_pos120, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1276(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_ge_u' rule, at the expression:\n"
' 0x5a\n\n'
'Expected to match the byte value 0x5a'
)
raise ParseError((title + details), _pos, line, col)
class f32_eq(Node):
"""
class f32_eq {
let id: 0x5b
}
"""
_fields = ()
id = 0x5b
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_eq()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_eq, fullparse)
def _try_f32_eq(_text, _pos):
# Begin Seq
start_pos121 = _pos
while True:
# Begin Byte
# 0x5b
if (_pos < len(_text)) and (_text[_pos] == 91):
_result = 91
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1280
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_eq()
_result._metadata.position_info = (start_pos121, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1280(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_eq' rule, at the expression:\n"
' 0x5b\n\n'
'Expected to match the byte value 0x5b'
)
raise ParseError((title + details), _pos, line, col)
class f32_ne(Node):
"""
class f32_ne {
let id: 0x5c
}
"""
_fields = ()
id = 0x5c
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_ne()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_ne, fullparse)
def _try_f32_ne(_text, _pos):
# Begin Seq
start_pos122 = _pos
while True:
# Begin Byte
# 0x5c
if (_pos < len(_text)) and (_text[_pos] == 92):
_result = 92
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1284
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_ne()
_result._metadata.position_info = (start_pos122, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1284(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_ne' rule, at the expression:\n"
' 0x5c\n\n'
'Expected to match the byte value 0x5c'
)
raise ParseError((title + details), _pos, line, col)
class f32_lt(Node):
"""
class f32_lt {
let id: 0x5d
}
"""
_fields = ()
id = 0x5d
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_lt()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_lt, fullparse)
def _try_f32_lt(_text, _pos):
# Begin Seq
start_pos123 = _pos
while True:
# Begin Byte
# 0x5d
if (_pos < len(_text)) and (_text[_pos] == 93):
_result = 93
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1288
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_lt()
_result._metadata.position_info = (start_pos123, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1288(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_lt' rule, at the expression:\n"
' 0x5d\n\n'
'Expected to match the byte value 0x5d'
)
raise ParseError((title + details), _pos, line, col)
class f32_gt(Node):
"""
class f32_gt {
let id: 0x5e
}
"""
_fields = ()
id = 0x5e
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_gt()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_gt, fullparse)
def _try_f32_gt(_text, _pos):
# Begin Seq
start_pos124 = _pos
while True:
# Begin Byte
# 0x5e
if (_pos < len(_text)) and (_text[_pos] == 94):
_result = 94
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1292
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_gt()
_result._metadata.position_info = (start_pos124, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1292(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_gt' rule, at the expression:\n"
' 0x5e\n\n'
'Expected to match the byte value 0x5e'
)
raise ParseError((title + details), _pos, line, col)
class f32_le(Node):
"""
class f32_le {
let id: 0x5f
}
"""
_fields = ()
id = 0x5f
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_le()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_le, fullparse)
def _try_f32_le(_text, _pos):
# Begin Seq
start_pos125 = _pos
while True:
# Begin Byte
# 0x5f
if (_pos < len(_text)) and (_text[_pos] == 95):
_result = 95
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1296
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_le()
_result._metadata.position_info = (start_pos125, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1296(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_le' rule, at the expression:\n"
' 0x5f\n\n'
'Expected to match the byte value 0x5f'
)
raise ParseError((title + details), _pos, line, col)
class f32_ge(Node):
"""
class f32_ge {
let id: 0x60
}
"""
_fields = ()
id = 0x60
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_ge()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_ge, fullparse)
def _try_f32_ge(_text, _pos):
# Begin Seq
start_pos126 = _pos
while True:
# Begin Byte
# 0x60
if (_pos < len(_text)) and (_text[_pos] == 96):
_result = 96
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1300
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_ge()
_result._metadata.position_info = (start_pos126, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1300(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_ge' rule, at the expression:\n"
' 0x60\n\n'
'Expected to match the byte value 0x60'
)
raise ParseError((title + details), _pos, line, col)
class f64_eq(Node):
"""
class f64_eq {
let id: 0x61
}
"""
_fields = ()
id = 0x61
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_eq()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_eq, fullparse)
def _try_f64_eq(_text, _pos):
# Begin Seq
start_pos127 = _pos
while True:
# Begin Byte
# 0x61
if (_pos < len(_text)) and (_text[_pos] == 97):
_result = 97
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1304
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_eq()
_result._metadata.position_info = (start_pos127, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1304(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_eq' rule, at the expression:\n"
' 0x61\n\n'
'Expected to match the byte value 0x61'
)
raise ParseError((title + details), _pos, line, col)
class f64_ne(Node):
"""
class f64_ne {
let id: 0x62
}
"""
_fields = ()
id = 0x62
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_ne()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_ne, fullparse)
def _try_f64_ne(_text, _pos):
# Begin Seq
start_pos128 = _pos
while True:
# Begin Byte
# 0x62
if (_pos < len(_text)) and (_text[_pos] == 98):
_result = 98
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1308
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_ne()
_result._metadata.position_info = (start_pos128, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1308(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_ne' rule, at the expression:\n"
' 0x62\n\n'
'Expected to match the byte value 0x62'
)
raise ParseError((title + details), _pos, line, col)
class f64_lt(Node):
"""
class f64_lt {
let id: 0x63
}
"""
_fields = ()
id = 0x63
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_lt()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_lt, fullparse)
def _try_f64_lt(_text, _pos):
# Begin Seq
start_pos129 = _pos
while True:
# Begin Byte
# 0x63
if (_pos < len(_text)) and (_text[_pos] == 99):
_result = 99
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1312
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_lt()
_result._metadata.position_info = (start_pos129, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1312(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_lt' rule, at the expression:\n"
' 0x63\n\n'
'Expected to match the byte value 0x63'
)
raise ParseError((title + details), _pos, line, col)
class f64_gt(Node):
"""
class f64_gt {
let id: 0x64
}
"""
_fields = ()
id = 0x64
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_gt()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_gt, fullparse)
def _try_f64_gt(_text, _pos):
# Begin Seq
start_pos130 = _pos
while True:
# Begin Byte
# 0x64
if (_pos < len(_text)) and (_text[_pos] == 100):
_result = 100
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1316
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_gt()
_result._metadata.position_info = (start_pos130, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1316(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_gt' rule, at the expression:\n"
' 0x64\n\n'
'Expected to match the byte value 0x64'
)
raise ParseError((title + details), _pos, line, col)
class f64_le(Node):
"""
class f64_le {
let id: 0x65
}
"""
_fields = ()
id = 0x65
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_le()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_le, fullparse)
def _try_f64_le(_text, _pos):
# Begin Seq
start_pos131 = _pos
while True:
# Begin Byte
# 0x65
if (_pos < len(_text)) and (_text[_pos] == 101):
_result = 101
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1320
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_le()
_result._metadata.position_info = (start_pos131, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1320(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_le' rule, at the expression:\n"
' 0x65\n\n'
'Expected to match the byte value 0x65'
)
raise ParseError((title + details), _pos, line, col)
class f64_ge(Node):
"""
class f64_ge {
let id: 0x66
}
"""
_fields = ()
id = 0x66
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_ge()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_ge, fullparse)
def _try_f64_ge(_text, _pos):
# Begin Seq
start_pos132 = _pos
while True:
# Begin Byte
# 0x66
if (_pos < len(_text)) and (_text[_pos] == 102):
_result = 102
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1324
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_ge()
_result._metadata.position_info = (start_pos132, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1324(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_ge' rule, at the expression:\n"
' 0x66\n\n'
'Expected to match the byte value 0x66'
)
raise ParseError((title + details), _pos, line, col)
class i32_clz(Node):
"""
class i32_clz {
let id: 0x67
}
"""
_fields = ()
id = 0x67
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_clz()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_clz, fullparse)
def _try_i32_clz(_text, _pos):
# Begin Seq
start_pos133 = _pos
while True:
# Begin Byte
# 0x67
if (_pos < len(_text)) and (_text[_pos] == 103):
_result = 103
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1328
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_clz()
_result._metadata.position_info = (start_pos133, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1328(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_clz' rule, at the expression:\n"
' 0x67\n\n'
'Expected to match the byte value 0x67'
)
raise ParseError((title + details), _pos, line, col)
class i32_ctz(Node):
"""
class i32_ctz {
let id: 0x68
}
"""
_fields = ()
id = 0x68
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_ctz()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_ctz, fullparse)
def _try_i32_ctz(_text, _pos):
# Begin Seq
start_pos134 = _pos
while True:
# Begin Byte
# 0x68
if (_pos < len(_text)) and (_text[_pos] == 104):
_result = 104
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1332
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_ctz()
_result._metadata.position_info = (start_pos134, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1332(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_ctz' rule, at the expression:\n"
' 0x68\n\n'
'Expected to match the byte value 0x68'
)
raise ParseError((title + details), _pos, line, col)
class i32_popcnt(Node):
"""
class i32_popcnt {
let id: 0x69
}
"""
_fields = ()
id = 0x69
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_popcnt()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_popcnt, fullparse)
def _try_i32_popcnt(_text, _pos):
# Begin Seq
start_pos135 = _pos
while True:
# Begin Byte
# 0x69
if (_pos < len(_text)) and (_text[_pos] == 105):
_result = 105
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1336
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_popcnt()
_result._metadata.position_info = (start_pos135, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1336(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_popcnt' rule, at the expression:\n"
' 0x69\n\n'
'Expected to match the byte value 0x69'
)
raise ParseError((title + details), _pos, line, col)
class i32_add(Node):
"""
class i32_add {
let id: 0x6a
}
"""
_fields = ()
id = 0x6a
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_add()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_add, fullparse)
def _try_i32_add(_text, _pos):
# Begin Seq
start_pos136 = _pos
while True:
# Begin Byte
# 0x6a
if (_pos < len(_text)) and (_text[_pos] == 106):
_result = 106
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1340
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_add()
_result._metadata.position_info = (start_pos136, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1340(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_add' rule, at the expression:\n"
' 0x6a\n\n'
'Expected to match the byte value 0x6a'
)
raise ParseError((title + details), _pos, line, col)
class i32_sub(Node):
"""
class i32_sub {
let id: 0x6b
}
"""
_fields = ()
id = 0x6b
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_sub()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_sub, fullparse)
def _try_i32_sub(_text, _pos):
# Begin Seq
start_pos137 = _pos
while True:
# Begin Byte
# 0x6b
if (_pos < len(_text)) and (_text[_pos] == 107):
_result = 107
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1344
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_sub()
_result._metadata.position_info = (start_pos137, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1344(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_sub' rule, at the expression:\n"
' 0x6b\n\n'
'Expected to match the byte value 0x6b'
)
raise ParseError((title + details), _pos, line, col)
class i32_mul(Node):
"""
class i32_mul {
let id: 0x6c
}
"""
_fields = ()
id = 0x6c
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_mul()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_mul, fullparse)
def _try_i32_mul(_text, _pos):
# Begin Seq
start_pos138 = _pos
while True:
# Begin Byte
# 0x6c
if (_pos < len(_text)) and (_text[_pos] == 108):
_result = 108
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1348
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_mul()
_result._metadata.position_info = (start_pos138, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1348(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_mul' rule, at the expression:\n"
' 0x6c\n\n'
'Expected to match the byte value 0x6c'
)
raise ParseError((title + details), _pos, line, col)
class i32_div_s(Node):
"""
class i32_div_s {
let id: 0x6d
}
"""
_fields = ()
id = 0x6d
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_div_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_div_s, fullparse)
def _try_i32_div_s(_text, _pos):
# Begin Seq
start_pos139 = _pos
while True:
# Begin Byte
# 0x6d
if (_pos < len(_text)) and (_text[_pos] == 109):
_result = 109
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1352
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_div_s()
_result._metadata.position_info = (start_pos139, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1352(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_div_s' rule, at the expression:\n"
' 0x6d\n\n'
'Expected to match the byte value 0x6d'
)
raise ParseError((title + details), _pos, line, col)
class i32_div_u(Node):
"""
class i32_div_u {
let id: 0x6e
}
"""
_fields = ()
id = 0x6e
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_div_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_div_u, fullparse)
def _try_i32_div_u(_text, _pos):
# Begin Seq
start_pos140 = _pos
while True:
# Begin Byte
# 0x6e
if (_pos < len(_text)) and (_text[_pos] == 110):
_result = 110
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1356
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_div_u()
_result._metadata.position_info = (start_pos140, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1356(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_div_u' rule, at the expression:\n"
' 0x6e\n\n'
'Expected to match the byte value 0x6e'
)
raise ParseError((title + details), _pos, line, col)
class i32_rem_s(Node):
"""
class i32_rem_s {
let id: 0x6f
}
"""
_fields = ()
id = 0x6f
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_rem_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_rem_s, fullparse)
def _try_i32_rem_s(_text, _pos):
# Begin Seq
start_pos141 = _pos
while True:
# Begin Byte
# 0x6f
if (_pos < len(_text)) and (_text[_pos] == 111):
_result = 111
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1360
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_rem_s()
_result._metadata.position_info = (start_pos141, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1360(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_rem_s' rule, at the expression:\n"
' 0x6f\n\n'
'Expected to match the byte value 0x6f'
)
raise ParseError((title + details), _pos, line, col)
class i32_rem_u(Node):
"""
class i32_rem_u {
let id: 0x70
}
"""
_fields = ()
id = 0x70
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_rem_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_rem_u, fullparse)
def _try_i32_rem_u(_text, _pos):
# Begin Seq
start_pos142 = _pos
while True:
# Begin Byte
# 0x70
if (_pos < len(_text)) and (_text[_pos] == 112):
_result = 112
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1364
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_rem_u()
_result._metadata.position_info = (start_pos142, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1364(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_rem_u' rule, at the expression:\n"
' 0x70\n\n'
'Expected to match the byte value 0x70'
)
raise ParseError((title + details), _pos, line, col)
class i32_and(Node):
"""
class i32_and {
let id: 0x71
}
"""
_fields = ()
id = 0x71
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_and()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_and, fullparse)
def _try_i32_and(_text, _pos):
# Begin Seq
start_pos143 = _pos
while True:
# Begin Byte
# 0x71
if (_pos < len(_text)) and (_text[_pos] == 113):
_result = 113
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1368
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_and()
_result._metadata.position_info = (start_pos143, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1368(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_and' rule, at the expression:\n"
' 0x71\n\n'
'Expected to match the byte value 0x71'
)
raise ParseError((title + details), _pos, line, col)
class i32_or(Node):
"""
class i32_or {
let id: 0x72
}
"""
_fields = ()
id = 0x72
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_or()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_or, fullparse)
def _try_i32_or(_text, _pos):
# Begin Seq
start_pos144 = _pos
while True:
# Begin Byte
# 0x72
if (_pos < len(_text)) and (_text[_pos] == 114):
_result = 114
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1372
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_or()
_result._metadata.position_info = (start_pos144, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1372(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_or' rule, at the expression:\n"
' 0x72\n\n'
'Expected to match the byte value 0x72'
)
raise ParseError((title + details), _pos, line, col)
class i32_xor(Node):
"""
class i32_xor {
let id: 0x73
}
"""
_fields = ()
id = 0x73
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_xor()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_xor, fullparse)
def _try_i32_xor(_text, _pos):
# Begin Seq
start_pos145 = _pos
while True:
# Begin Byte
# 0x73
if (_pos < len(_text)) and (_text[_pos] == 115):
_result = 115
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1376
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_xor()
_result._metadata.position_info = (start_pos145, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1376(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_xor' rule, at the expression:\n"
' 0x73\n\n'
'Expected to match the byte value 0x73'
)
raise ParseError((title + details), _pos, line, col)
class i32_shl(Node):
"""
class i32_shl {
let id: 0x74
}
"""
_fields = ()
id = 0x74
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_shl()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_shl, fullparse)
def _try_i32_shl(_text, _pos):
# Begin Seq
start_pos146 = _pos
while True:
# Begin Byte
# 0x74
if (_pos < len(_text)) and (_text[_pos] == 116):
_result = 116
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1380
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_shl()
_result._metadata.position_info = (start_pos146, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1380(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_shl' rule, at the expression:\n"
' 0x74\n\n'
'Expected to match the byte value 0x74'
)
raise ParseError((title + details), _pos, line, col)
class i32_shr_s(Node):
"""
class i32_shr_s {
let id: 0x75
}
"""
_fields = ()
id = 0x75
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_shr_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_shr_s, fullparse)
def _try_i32_shr_s(_text, _pos):
# Begin Seq
start_pos147 = _pos
while True:
# Begin Byte
# 0x75
if (_pos < len(_text)) and (_text[_pos] == 117):
_result = 117
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1384
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_shr_s()
_result._metadata.position_info = (start_pos147, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1384(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_shr_s' rule, at the expression:\n"
' 0x75\n\n'
'Expected to match the byte value 0x75'
)
raise ParseError((title + details), _pos, line, col)
class i32_shr_u(Node):
"""
class i32_shr_u {
let id: 0x76
}
"""
_fields = ()
id = 0x76
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_shr_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_shr_u, fullparse)
def _try_i32_shr_u(_text, _pos):
# Begin Seq
start_pos148 = _pos
while True:
# Begin Byte
# 0x76
if (_pos < len(_text)) and (_text[_pos] == 118):
_result = 118
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1388
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_shr_u()
_result._metadata.position_info = (start_pos148, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1388(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_shr_u' rule, at the expression:\n"
' 0x76\n\n'
'Expected to match the byte value 0x76'
)
raise ParseError((title + details), _pos, line, col)
class i32_rotl(Node):
"""
class i32_rotl {
let id: 0x77
}
"""
_fields = ()
id = 0x77
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_rotl()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_rotl, fullparse)
def _try_i32_rotl(_text, _pos):
# Begin Seq
start_pos149 = _pos
while True:
# Begin Byte
# 0x77
if (_pos < len(_text)) and (_text[_pos] == 119):
_result = 119
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1392
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_rotl()
_result._metadata.position_info = (start_pos149, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1392(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_rotl' rule, at the expression:\n"
' 0x77\n\n'
'Expected to match the byte value 0x77'
)
raise ParseError((title + details), _pos, line, col)
class i32_rotr(Node):
"""
class i32_rotr {
let id: 0x78
}
"""
_fields = ()
id = 0x78
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_rotr()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_rotr, fullparse)
def _try_i32_rotr(_text, _pos):
# Begin Seq
start_pos150 = _pos
while True:
# Begin Byte
# 0x78
if (_pos < len(_text)) and (_text[_pos] == 120):
_result = 120
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1396
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_rotr()
_result._metadata.position_info = (start_pos150, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1396(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_rotr' rule, at the expression:\n"
' 0x78\n\n'
'Expected to match the byte value 0x78'
)
raise ParseError((title + details), _pos, line, col)
class i64_clz(Node):
"""
class i64_clz {
let id: 0x79
}
"""
_fields = ()
id = 0x79
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_clz()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_clz, fullparse)
def _try_i64_clz(_text, _pos):
# Begin Seq
start_pos151 = _pos
while True:
# Begin Byte
# 0x79
if (_pos < len(_text)) and (_text[_pos] == 121):
_result = 121
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1400
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_clz()
_result._metadata.position_info = (start_pos151, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1400(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_clz' rule, at the expression:\n"
' 0x79\n\n'
'Expected to match the byte value 0x79'
)
raise ParseError((title + details), _pos, line, col)
class i64_ctz(Node):
"""
class i64_ctz {
let id: 0x7a
}
"""
_fields = ()
id = 0x7a
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_ctz()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_ctz, fullparse)
def _try_i64_ctz(_text, _pos):
# Begin Seq
start_pos152 = _pos
while True:
# Begin Byte
# 0x7a
if (_pos < len(_text)) and (_text[_pos] == 122):
_result = 122
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1404
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_ctz()
_result._metadata.position_info = (start_pos152, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1404(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_ctz' rule, at the expression:\n"
' 0x7a\n\n'
'Expected to match the byte value 0x7a'
)
raise ParseError((title + details), _pos, line, col)
class i64_popcnt(Node):
"""
class i64_popcnt {
let id: 0x7b
}
"""
_fields = ()
id = 0x7b
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_popcnt()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_popcnt, fullparse)
def _try_i64_popcnt(_text, _pos):
# Begin Seq
start_pos153 = _pos
while True:
# Begin Byte
# 0x7b
if (_pos < len(_text)) and (_text[_pos] == 123):
_result = 123
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1408
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_popcnt()
_result._metadata.position_info = (start_pos153, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1408(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_popcnt' rule, at the expression:\n"
' 0x7b\n\n'
'Expected to match the byte value 0x7b'
)
raise ParseError((title + details), _pos, line, col)
class i64_add(Node):
"""
class i64_add {
let id: 0x7c
}
"""
_fields = ()
id = 0x7c
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_add()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_add, fullparse)
def _try_i64_add(_text, _pos):
# Begin Seq
start_pos154 = _pos
while True:
# Begin Byte
# 0x7c
if (_pos < len(_text)) and (_text[_pos] == 124):
_result = 124
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1412
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_add()
_result._metadata.position_info = (start_pos154, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1412(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_add' rule, at the expression:\n"
' 0x7c\n\n'
'Expected to match the byte value 0x7c'
)
raise ParseError((title + details), _pos, line, col)
class i64_sub(Node):
"""
class i64_sub {
let id: 0x7d
}
"""
_fields = ()
id = 0x7d
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_sub()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_sub, fullparse)
def _try_i64_sub(_text, _pos):
# Begin Seq
start_pos155 = _pos
while True:
# Begin Byte
# 0x7d
if (_pos < len(_text)) and (_text[_pos] == 125):
_result = 125
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1416
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_sub()
_result._metadata.position_info = (start_pos155, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1416(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_sub' rule, at the expression:\n"
' 0x7d\n\n'
'Expected to match the byte value 0x7d'
)
raise ParseError((title + details), _pos, line, col)
class i64_mul(Node):
"""
class i64_mul {
let id: 0x7e
}
"""
_fields = ()
id = 0x7e
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_mul()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_mul, fullparse)
def _try_i64_mul(_text, _pos):
# Begin Seq
start_pos156 = _pos
while True:
# Begin Byte
# 0x7e
if (_pos < len(_text)) and (_text[_pos] == 126):
_result = 126
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1420
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_mul()
_result._metadata.position_info = (start_pos156, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1420(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_mul' rule, at the expression:\n"
' 0x7e\n\n'
'Expected to match the byte value 0x7e'
)
raise ParseError((title + details), _pos, line, col)
class i64_div_s(Node):
"""
class i64_div_s {
let id: 0x7f
}
"""
_fields = ()
id = 0x7f
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_div_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_div_s, fullparse)
def _try_i64_div_s(_text, _pos):
# Begin Seq
start_pos157 = _pos
while True:
# Begin Byte
# 0x7f
if (_pos < len(_text)) and (_text[_pos] == 127):
_result = 127
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1424
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_div_s()
_result._metadata.position_info = (start_pos157, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1424(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_div_s' rule, at the expression:\n"
' 0x7f\n\n'
'Expected to match the byte value 0x7f'
)
raise ParseError((title + details), _pos, line, col)
class i64_div_u(Node):
"""
class i64_div_u {
let id: 0x80
}
"""
_fields = ()
id = 0x80
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_div_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_div_u, fullparse)
def _try_i64_div_u(_text, _pos):
# Begin Seq
start_pos158 = _pos
while True:
# Begin Byte
# 0x80
if (_pos < len(_text)) and (_text[_pos] == 128):
_result = 128
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1428
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_div_u()
_result._metadata.position_info = (start_pos158, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1428(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_div_u' rule, at the expression:\n"
' 0x80\n\n'
'Expected to match the byte value 0x80'
)
raise ParseError((title + details), _pos, line, col)
class i64_rem_s(Node):
"""
class i64_rem_s {
let id: 0x81
}
"""
_fields = ()
id = 0x81
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_rem_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_rem_s, fullparse)
def _try_i64_rem_s(_text, _pos):
# Begin Seq
start_pos159 = _pos
while True:
# Begin Byte
# 0x81
if (_pos < len(_text)) and (_text[_pos] == 129):
_result = 129
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1432
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_rem_s()
_result._metadata.position_info = (start_pos159, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1432(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_rem_s' rule, at the expression:\n"
' 0x81\n\n'
'Expected to match the byte value 0x81'
)
raise ParseError((title + details), _pos, line, col)
class i64_rem_u(Node):
"""
class i64_rem_u {
let id: 0x82
}
"""
_fields = ()
id = 0x82
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_rem_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_rem_u, fullparse)
def _try_i64_rem_u(_text, _pos):
# Begin Seq
start_pos160 = _pos
while True:
# Begin Byte
# 0x82
if (_pos < len(_text)) and (_text[_pos] == 130):
_result = 130
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1436
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_rem_u()
_result._metadata.position_info = (start_pos160, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1436(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_rem_u' rule, at the expression:\n"
' 0x82\n\n'
'Expected to match the byte value 0x82'
)
raise ParseError((title + details), _pos, line, col)
class i64_and(Node):
"""
class i64_and {
let id: 0x83
}
"""
_fields = ()
id = 0x83
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_and()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_and, fullparse)
def _try_i64_and(_text, _pos):
# Begin Seq
start_pos161 = _pos
while True:
# Begin Byte
# 0x83
if (_pos < len(_text)) and (_text[_pos] == 131):
_result = 131
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1440
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_and()
_result._metadata.position_info = (start_pos161, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1440(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_and' rule, at the expression:\n"
' 0x83\n\n'
'Expected to match the byte value 0x83'
)
raise ParseError((title + details), _pos, line, col)
class i64_or(Node):
"""
class i64_or {
let id: 0x84
}
"""
_fields = ()
id = 0x84
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_or()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_or, fullparse)
def _try_i64_or(_text, _pos):
# Begin Seq
start_pos162 = _pos
while True:
# Begin Byte
# 0x84
if (_pos < len(_text)) and (_text[_pos] == 132):
_result = 132
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1444
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_or()
_result._metadata.position_info = (start_pos162, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1444(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_or' rule, at the expression:\n"
' 0x84\n\n'
'Expected to match the byte value 0x84'
)
raise ParseError((title + details), _pos, line, col)
class i64_xor(Node):
"""
class i64_xor {
let id: 0x85
}
"""
_fields = ()
id = 0x85
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_xor()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_xor, fullparse)
def _try_i64_xor(_text, _pos):
# Begin Seq
start_pos163 = _pos
while True:
# Begin Byte
# 0x85
if (_pos < len(_text)) and (_text[_pos] == 133):
_result = 133
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1448
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_xor()
_result._metadata.position_info = (start_pos163, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1448(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_xor' rule, at the expression:\n"
' 0x85\n\n'
'Expected to match the byte value 0x85'
)
raise ParseError((title + details), _pos, line, col)
class i64_shl(Node):
"""
class i64_shl {
let id: 0x86
}
"""
_fields = ()
id = 0x86
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_shl()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_shl, fullparse)
def _try_i64_shl(_text, _pos):
# Begin Seq
start_pos164 = _pos
while True:
# Begin Byte
# 0x86
if (_pos < len(_text)) and (_text[_pos] == 134):
_result = 134
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1452
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_shl()
_result._metadata.position_info = (start_pos164, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1452(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_shl' rule, at the expression:\n"
' 0x86\n\n'
'Expected to match the byte value 0x86'
)
raise ParseError((title + details), _pos, line, col)
class i64_shr_s(Node):
"""
class i64_shr_s {
let id: 0x87
}
"""
_fields = ()
id = 0x87
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_shr_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_shr_s, fullparse)
def _try_i64_shr_s(_text, _pos):
# Begin Seq
start_pos165 = _pos
while True:
# Begin Byte
# 0x87
if (_pos < len(_text)) and (_text[_pos] == 135):
_result = 135
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1456
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_shr_s()
_result._metadata.position_info = (start_pos165, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1456(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_shr_s' rule, at the expression:\n"
' 0x87\n\n'
'Expected to match the byte value 0x87'
)
raise ParseError((title + details), _pos, line, col)
class i64_shr_u(Node):
"""
class i64_shr_u {
let id: 0x88
}
"""
_fields = ()
id = 0x88
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_shr_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_shr_u, fullparse)
def _try_i64_shr_u(_text, _pos):
# Begin Seq
start_pos166 = _pos
while True:
# Begin Byte
# 0x88
if (_pos < len(_text)) and (_text[_pos] == 136):
_result = 136
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1460
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_shr_u()
_result._metadata.position_info = (start_pos166, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1460(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_shr_u' rule, at the expression:\n"
' 0x88\n\n'
'Expected to match the byte value 0x88'
)
raise ParseError((title + details), _pos, line, col)
class i64_rotl(Node):
"""
class i64_rotl {
let id: 0x89
}
"""
_fields = ()
id = 0x89
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_rotl()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_rotl, fullparse)
def _try_i64_rotl(_text, _pos):
# Begin Seq
start_pos167 = _pos
while True:
# Begin Byte
# 0x89
if (_pos < len(_text)) and (_text[_pos] == 137):
_result = 137
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1464
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_rotl()
_result._metadata.position_info = (start_pos167, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1464(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_rotl' rule, at the expression:\n"
' 0x89\n\n'
'Expected to match the byte value 0x89'
)
raise ParseError((title + details), _pos, line, col)
class i64_rotr(Node):
"""
class i64_rotr {
let id: 0x8a
}
"""
_fields = ()
id = 0x8a
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_rotr()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_rotr, fullparse)
def _try_i64_rotr(_text, _pos):
# Begin Seq
start_pos168 = _pos
while True:
# Begin Byte
# 0x8a
if (_pos < len(_text)) and (_text[_pos] == 138):
_result = 138
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1468
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_rotr()
_result._metadata.position_info = (start_pos168, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1468(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_rotr' rule, at the expression:\n"
' 0x8a\n\n'
'Expected to match the byte value 0x8a'
)
raise ParseError((title + details), _pos, line, col)
class f32_abs(Node):
"""
class f32_abs {
let id: 0x8b
}
"""
_fields = ()
id = 0x8b
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_abs()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_abs, fullparse)
def _try_f32_abs(_text, _pos):
# Begin Seq
start_pos169 = _pos
while True:
# Begin Byte
# 0x8b
if (_pos < len(_text)) and (_text[_pos] == 139):
_result = 139
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1472
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_abs()
_result._metadata.position_info = (start_pos169, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1472(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_abs' rule, at the expression:\n"
' 0x8b\n\n'
'Expected to match the byte value 0x8b'
)
raise ParseError((title + details), _pos, line, col)
class f32_neg(Node):
"""
class f32_neg {
let id: 0x8c
}
"""
_fields = ()
id = 0x8c
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_neg()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_neg, fullparse)
def _try_f32_neg(_text, _pos):
# Begin Seq
start_pos170 = _pos
while True:
# Begin Byte
# 0x8c
if (_pos < len(_text)) and (_text[_pos] == 140):
_result = 140
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1476
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_neg()
_result._metadata.position_info = (start_pos170, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1476(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_neg' rule, at the expression:\n"
' 0x8c\n\n'
'Expected to match the byte value 0x8c'
)
raise ParseError((title + details), _pos, line, col)
class f32_ceil(Node):
"""
class f32_ceil {
let id: 0x8d
}
"""
_fields = ()
id = 0x8d
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_ceil()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_ceil, fullparse)
def _try_f32_ceil(_text, _pos):
# Begin Seq
start_pos171 = _pos
while True:
# Begin Byte
# 0x8d
if (_pos < len(_text)) and (_text[_pos] == 141):
_result = 141
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1480
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_ceil()
_result._metadata.position_info = (start_pos171, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1480(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_ceil' rule, at the expression:\n"
' 0x8d\n\n'
'Expected to match the byte value 0x8d'
)
raise ParseError((title + details), _pos, line, col)
class f32_floor(Node):
"""
class f32_floor {
let id: 0x8e
}
"""
_fields = ()
id = 0x8e
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_floor()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_floor, fullparse)
def _try_f32_floor(_text, _pos):
# Begin Seq
start_pos172 = _pos
while True:
# Begin Byte
# 0x8e
if (_pos < len(_text)) and (_text[_pos] == 142):
_result = 142
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1484
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_floor()
_result._metadata.position_info = (start_pos172, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1484(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_floor' rule, at the expression:\n"
' 0x8e\n\n'
'Expected to match the byte value 0x8e'
)
raise ParseError((title + details), _pos, line, col)
class f32_trunc(Node):
"""
class f32_trunc {
let id: 0x8f
}
"""
_fields = ()
id = 0x8f
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_trunc()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_trunc, fullparse)
def _try_f32_trunc(_text, _pos):
# Begin Seq
start_pos173 = _pos
while True:
# Begin Byte
# 0x8f
if (_pos < len(_text)) and (_text[_pos] == 143):
_result = 143
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1488
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_trunc()
_result._metadata.position_info = (start_pos173, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1488(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_trunc' rule, at the expression:\n"
' 0x8f\n\n'
'Expected to match the byte value 0x8f'
)
raise ParseError((title + details), _pos, line, col)
class f32_nearest(Node):
"""
class f32_nearest {
let id: 0x90
}
"""
_fields = ()
id = 0x90
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_nearest()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_nearest, fullparse)
def _try_f32_nearest(_text, _pos):
# Begin Seq
start_pos174 = _pos
while True:
# Begin Byte
# 0x90
if (_pos < len(_text)) and (_text[_pos] == 144):
_result = 144
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1492
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_nearest()
_result._metadata.position_info = (start_pos174, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1492(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_nearest' rule, at the expression:\n"
' 0x90\n\n'
'Expected to match the byte value 0x90'
)
raise ParseError((title + details), _pos, line, col)
class f32_sqrt(Node):
"""
class f32_sqrt {
let id: 0x91
}
"""
_fields = ()
id = 0x91
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_sqrt()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_sqrt, fullparse)
def _try_f32_sqrt(_text, _pos):
# Begin Seq
start_pos175 = _pos
while True:
# Begin Byte
# 0x91
if (_pos < len(_text)) and (_text[_pos] == 145):
_result = 145
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1496
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_sqrt()
_result._metadata.position_info = (start_pos175, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1496(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_sqrt' rule, at the expression:\n"
' 0x91\n\n'
'Expected to match the byte value 0x91'
)
raise ParseError((title + details), _pos, line, col)
class f32_add(Node):
"""
class f32_add {
let id: 0x92
}
"""
_fields = ()
id = 0x92
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_add()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_add, fullparse)
def _try_f32_add(_text, _pos):
# Begin Seq
start_pos176 = _pos
while True:
# Begin Byte
# 0x92
if (_pos < len(_text)) and (_text[_pos] == 146):
_result = 146
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1500
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_add()
_result._metadata.position_info = (start_pos176, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1500(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_add' rule, at the expression:\n"
' 0x92\n\n'
'Expected to match the byte value 0x92'
)
raise ParseError((title + details), _pos, line, col)
class f32_sub(Node):
"""
class f32_sub {
let id: 0x93
}
"""
_fields = ()
id = 0x93
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_sub()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_sub, fullparse)
def _try_f32_sub(_text, _pos):
# Begin Seq
start_pos177 = _pos
while True:
# Begin Byte
# 0x93
if (_pos < len(_text)) and (_text[_pos] == 147):
_result = 147
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1504
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_sub()
_result._metadata.position_info = (start_pos177, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1504(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_sub' rule, at the expression:\n"
' 0x93\n\n'
'Expected to match the byte value 0x93'
)
raise ParseError((title + details), _pos, line, col)
class f32_mul(Node):
"""
class f32_mul {
let id: 0x94
}
"""
_fields = ()
id = 0x94
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_mul()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_mul, fullparse)
def _try_f32_mul(_text, _pos):
# Begin Seq
start_pos178 = _pos
while True:
# Begin Byte
# 0x94
if (_pos < len(_text)) and (_text[_pos] == 148):
_result = 148
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1508
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_mul()
_result._metadata.position_info = (start_pos178, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1508(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_mul' rule, at the expression:\n"
' 0x94\n\n'
'Expected to match the byte value 0x94'
)
raise ParseError((title + details), _pos, line, col)
class f32_div(Node):
"""
class f32_div {
let id: 0x95
}
"""
_fields = ()
id = 0x95
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_div()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_div, fullparse)
def _try_f32_div(_text, _pos):
# Begin Seq
start_pos179 = _pos
while True:
# Begin Byte
# 0x95
if (_pos < len(_text)) and (_text[_pos] == 149):
_result = 149
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1512
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_div()
_result._metadata.position_info = (start_pos179, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1512(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_div' rule, at the expression:\n"
' 0x95\n\n'
'Expected to match the byte value 0x95'
)
raise ParseError((title + details), _pos, line, col)
class f32_min(Node):
"""
class f32_min {
let id: 0x96
}
"""
_fields = ()
id = 0x96
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_min()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_min, fullparse)
def _try_f32_min(_text, _pos):
# Begin Seq
start_pos180 = _pos
while True:
# Begin Byte
# 0x96
if (_pos < len(_text)) and (_text[_pos] == 150):
_result = 150
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1516
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_min()
_result._metadata.position_info = (start_pos180, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1516(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_min' rule, at the expression:\n"
' 0x96\n\n'
'Expected to match the byte value 0x96'
)
raise ParseError((title + details), _pos, line, col)
class f32_max(Node):
"""
class f32_max {
let id: 0x97
}
"""
_fields = ()
id = 0x97
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_max()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_max, fullparse)
def _try_f32_max(_text, _pos):
# Begin Seq
start_pos181 = _pos
while True:
# Begin Byte
# 0x97
if (_pos < len(_text)) and (_text[_pos] == 151):
_result = 151
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1520
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_max()
_result._metadata.position_info = (start_pos181, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1520(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_max' rule, at the expression:\n"
' 0x97\n\n'
'Expected to match the byte value 0x97'
)
raise ParseError((title + details), _pos, line, col)
class f32_copysign(Node):
"""
class f32_copysign {
let id: 0x98
}
"""
_fields = ()
id = 0x98
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_copysign()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_copysign, fullparse)
def _try_f32_copysign(_text, _pos):
# Begin Seq
start_pos182 = _pos
while True:
# Begin Byte
# 0x98
if (_pos < len(_text)) and (_text[_pos] == 152):
_result = 152
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1524
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_copysign()
_result._metadata.position_info = (start_pos182, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1524(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_copysign' rule, at the expression:\n"
' 0x98\n\n'
'Expected to match the byte value 0x98'
)
raise ParseError((title + details), _pos, line, col)
class f64_abs(Node):
"""
class f64_abs {
let id: 0x99
}
"""
_fields = ()
id = 0x99
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_abs()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_abs, fullparse)
def _try_f64_abs(_text, _pos):
# Begin Seq
start_pos183 = _pos
while True:
# Begin Byte
# 0x99
if (_pos < len(_text)) and (_text[_pos] == 153):
_result = 153
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1528
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_abs()
_result._metadata.position_info = (start_pos183, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1528(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_abs' rule, at the expression:\n"
' 0x99\n\n'
'Expected to match the byte value 0x99'
)
raise ParseError((title + details), _pos, line, col)
class f64_neg(Node):
"""
class f64_neg {
let id: 0x9a
}
"""
_fields = ()
id = 0x9a
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_neg()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_neg, fullparse)
def _try_f64_neg(_text, _pos):
# Begin Seq
start_pos184 = _pos
while True:
# Begin Byte
# 0x9a
if (_pos < len(_text)) and (_text[_pos] == 154):
_result = 154
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1532
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_neg()
_result._metadata.position_info = (start_pos184, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1532(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_neg' rule, at the expression:\n"
' 0x9a\n\n'
'Expected to match the byte value 0x9a'
)
raise ParseError((title + details), _pos, line, col)
class f64_ceil(Node):
"""
class f64_ceil {
let id: 0x9b
}
"""
_fields = ()
id = 0x9b
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_ceil()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_ceil, fullparse)
def _try_f64_ceil(_text, _pos):
# Begin Seq
start_pos185 = _pos
while True:
# Begin Byte
# 0x9b
if (_pos < len(_text)) and (_text[_pos] == 155):
_result = 155
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1536
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_ceil()
_result._metadata.position_info = (start_pos185, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1536(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_ceil' rule, at the expression:\n"
' 0x9b\n\n'
'Expected to match the byte value 0x9b'
)
raise ParseError((title + details), _pos, line, col)
class f64_floor(Node):
"""
class f64_floor {
let id: 0x9c
}
"""
_fields = ()
id = 0x9c
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_floor()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_floor, fullparse)
def _try_f64_floor(_text, _pos):
# Begin Seq
start_pos186 = _pos
while True:
# Begin Byte
# 0x9c
if (_pos < len(_text)) and (_text[_pos] == 156):
_result = 156
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1540
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_floor()
_result._metadata.position_info = (start_pos186, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1540(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_floor' rule, at the expression:\n"
' 0x9c\n\n'
'Expected to match the byte value 0x9c'
)
raise ParseError((title + details), _pos, line, col)
class f64_trunc(Node):
"""
class f64_trunc {
let id: 0x9d
}
"""
_fields = ()
id = 0x9d
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_trunc()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_trunc, fullparse)
def _try_f64_trunc(_text, _pos):
# Begin Seq
start_pos187 = _pos
while True:
# Begin Byte
# 0x9d
if (_pos < len(_text)) and (_text[_pos] == 157):
_result = 157
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1544
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_trunc()
_result._metadata.position_info = (start_pos187, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1544(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_trunc' rule, at the expression:\n"
' 0x9d\n\n'
'Expected to match the byte value 0x9d'
)
raise ParseError((title + details), _pos, line, col)
class f64_nearest(Node):
"""
class f64_nearest {
let id: 0x9e
}
"""
_fields = ()
id = 0x9e
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_nearest()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_nearest, fullparse)
def _try_f64_nearest(_text, _pos):
# Begin Seq
start_pos188 = _pos
while True:
# Begin Byte
# 0x9e
if (_pos < len(_text)) and (_text[_pos] == 158):
_result = 158
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1548
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_nearest()
_result._metadata.position_info = (start_pos188, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1548(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_nearest' rule, at the expression:\n"
' 0x9e\n\n'
'Expected to match the byte value 0x9e'
)
raise ParseError((title + details), _pos, line, col)
class f64_sqrt(Node):
"""
class f64_sqrt {
let id: 0x9f
}
"""
_fields = ()
id = 0x9f
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_sqrt()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_sqrt, fullparse)
def _try_f64_sqrt(_text, _pos):
# Begin Seq
start_pos189 = _pos
while True:
# Begin Byte
# 0x9f
if (_pos < len(_text)) and (_text[_pos] == 159):
_result = 159
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1552
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_sqrt()
_result._metadata.position_info = (start_pos189, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1552(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_sqrt' rule, at the expression:\n"
' 0x9f\n\n'
'Expected to match the byte value 0x9f'
)
raise ParseError((title + details), _pos, line, col)
class f64_add(Node):
"""
class f64_add {
let id: 0xa0
}
"""
_fields = ()
id = 0xa0
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_add()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_add, fullparse)
def _try_f64_add(_text, _pos):
# Begin Seq
start_pos190 = _pos
while True:
# Begin Byte
# 0xa0
if (_pos < len(_text)) and (_text[_pos] == 160):
_result = 160
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1556
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_add()
_result._metadata.position_info = (start_pos190, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1556(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_add' rule, at the expression:\n"
' 0xa0\n\n'
'Expected to match the byte value 0xa0'
)
raise ParseError((title + details), _pos, line, col)
class f64_sub(Node):
"""
class f64_sub {
let id: 0xa1
}
"""
_fields = ()
id = 0xa1
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_sub()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_sub, fullparse)
def _try_f64_sub(_text, _pos):
# Begin Seq
start_pos191 = _pos
while True:
# Begin Byte
# 0xa1
if (_pos < len(_text)) and (_text[_pos] == 161):
_result = 161
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1560
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_sub()
_result._metadata.position_info = (start_pos191, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1560(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_sub' rule, at the expression:\n"
' 0xa1\n\n'
'Expected to match the byte value 0xa1'
)
raise ParseError((title + details), _pos, line, col)
class f64_mul(Node):
"""
class f64_mul {
let id: 0xa2
}
"""
_fields = ()
id = 0xa2
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_mul()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_mul, fullparse)
def _try_f64_mul(_text, _pos):
# Begin Seq
start_pos192 = _pos
while True:
# Begin Byte
# 0xa2
if (_pos < len(_text)) and (_text[_pos] == 162):
_result = 162
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1564
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_mul()
_result._metadata.position_info = (start_pos192, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1564(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_mul' rule, at the expression:\n"
' 0xa2\n\n'
'Expected to match the byte value 0xa2'
)
raise ParseError((title + details), _pos, line, col)
class f64_div(Node):
"""
class f64_div {
let id: 0xa3
}
"""
_fields = ()
id = 0xa3
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_div()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_div, fullparse)
def _try_f64_div(_text, _pos):
# Begin Seq
start_pos193 = _pos
while True:
# Begin Byte
# 0xa3
if (_pos < len(_text)) and (_text[_pos] == 163):
_result = 163
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1568
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_div()
_result._metadata.position_info = (start_pos193, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1568(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_div' rule, at the expression:\n"
' 0xa3\n\n'
'Expected to match the byte value 0xa3'
)
raise ParseError((title + details), _pos, line, col)
class f64_min(Node):
"""
class f64_min {
let id: 0xa4
}
"""
_fields = ()
id = 0xa4
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_min()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_min, fullparse)
def _try_f64_min(_text, _pos):
# Begin Seq
start_pos194 = _pos
while True:
# Begin Byte
# 0xa4
if (_pos < len(_text)) and (_text[_pos] == 164):
_result = 164
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1572
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_min()
_result._metadata.position_info = (start_pos194, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1572(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_min' rule, at the expression:\n"
' 0xa4\n\n'
'Expected to match the byte value 0xa4'
)
raise ParseError((title + details), _pos, line, col)
class f64_max(Node):
"""
class f64_max {
let id: 0xa5
}
"""
_fields = ()
id = 0xa5
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_max()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_max, fullparse)
def _try_f64_max(_text, _pos):
# Begin Seq
start_pos195 = _pos
while True:
# Begin Byte
# 0xa5
if (_pos < len(_text)) and (_text[_pos] == 165):
_result = 165
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1576
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_max()
_result._metadata.position_info = (start_pos195, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1576(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_max' rule, at the expression:\n"
' 0xa5\n\n'
'Expected to match the byte value 0xa5'
)
raise ParseError((title + details), _pos, line, col)
class f64_copysign(Node):
"""
class f64_copysign {
let id: 0xa6
}
"""
_fields = ()
id = 0xa6
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_copysign()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_copysign, fullparse)
def _try_f64_copysign(_text, _pos):
# Begin Seq
start_pos196 = _pos
while True:
# Begin Byte
# 0xa6
if (_pos < len(_text)) and (_text[_pos] == 166):
_result = 166
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1580
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_copysign()
_result._metadata.position_info = (start_pos196, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1580(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_copysign' rule, at the expression:\n"
' 0xa6\n\n'
'Expected to match the byte value 0xa6'
)
raise ParseError((title + details), _pos, line, col)
class i32_wrap_i64(Node):
"""
class i32_wrap_i64 {
let id: 0xa7
}
"""
_fields = ()
id = 0xa7
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_wrap_i64()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_wrap_i64, fullparse)
def _try_i32_wrap_i64(_text, _pos):
# Begin Seq
start_pos197 = _pos
while True:
# Begin Byte
# 0xa7
if (_pos < len(_text)) and (_text[_pos] == 167):
_result = 167
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1584
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_wrap_i64()
_result._metadata.position_info = (start_pos197, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1584(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_wrap_i64' rule, at the expression:\n"
' 0xa7\n\n'
'Expected to match the byte value 0xa7'
)
raise ParseError((title + details), _pos, line, col)
class i32_trunc_f32_s(Node):
"""
class i32_trunc_f32_s {
let id: 0xa8
}
"""
_fields = ()
id = 0xa8
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_trunc_f32_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_trunc_f32_s, fullparse)
def _try_i32_trunc_f32_s(_text, _pos):
# Begin Seq
start_pos198 = _pos
while True:
# Begin Byte
# 0xa8
if (_pos < len(_text)) and (_text[_pos] == 168):
_result = 168
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1588
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_trunc_f32_s()
_result._metadata.position_info = (start_pos198, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1588(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_f32_s' rule, at the expression:\n"
' 0xa8\n\n'
'Expected to match the byte value 0xa8'
)
raise ParseError((title + details), _pos, line, col)
class i32_trunc_f32_u(Node):
"""
class i32_trunc_f32_u {
let id: 0xa9
}
"""
_fields = ()
id = 0xa9
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_trunc_f32_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_trunc_f32_u, fullparse)
def _try_i32_trunc_f32_u(_text, _pos):
# Begin Seq
start_pos199 = _pos
while True:
# Begin Byte
# 0xa9
if (_pos < len(_text)) and (_text[_pos] == 169):
_result = 169
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1592
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_trunc_f32_u()
_result._metadata.position_info = (start_pos199, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1592(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_f32_u' rule, at the expression:\n"
' 0xa9\n\n'
'Expected to match the byte value 0xa9'
)
raise ParseError((title + details), _pos, line, col)
class i32_trunc_f64_s(Node):
"""
class i32_trunc_f64_s {
let id: 0xaa
}
"""
_fields = ()
id = 0xaa
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_trunc_f64_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_trunc_f64_s, fullparse)
def _try_i32_trunc_f64_s(_text, _pos):
# Begin Seq
start_pos200 = _pos
while True:
# Begin Byte
# 0xaa
if (_pos < len(_text)) and (_text[_pos] == 170):
_result = 170
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1596
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_trunc_f64_s()
_result._metadata.position_info = (start_pos200, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1596(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_f64_s' rule, at the expression:\n"
' 0xaa\n\n'
'Expected to match the byte value 0xaa'
)
raise ParseError((title + details), _pos, line, col)
class i32_trunc_f64_u(Node):
"""
class i32_trunc_f64_u {
let id: 0xab
}
"""
_fields = ()
id = 0xab
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_trunc_f64_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_trunc_f64_u, fullparse)
def _try_i32_trunc_f64_u(_text, _pos):
# Begin Seq
start_pos201 = _pos
while True:
# Begin Byte
# 0xab
if (_pos < len(_text)) and (_text[_pos] == 171):
_result = 171
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1600
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_trunc_f64_u()
_result._metadata.position_info = (start_pos201, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1600(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_f64_u' rule, at the expression:\n"
' 0xab\n\n'
'Expected to match the byte value 0xab'
)
raise ParseError((title + details), _pos, line, col)
class i64_extend_i32_s(Node):
"""
class i64_extend_i32_s {
let id: 0xac
}
"""
_fields = ()
id = 0xac
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_extend_i32_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_extend_i32_s, fullparse)
def _try_i64_extend_i32_s(_text, _pos):
# Begin Seq
start_pos202 = _pos
while True:
# Begin Byte
# 0xac
if (_pos < len(_text)) and (_text[_pos] == 172):
_result = 172
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1604
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_extend_i32_s()
_result._metadata.position_info = (start_pos202, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1604(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_extend_i32_s' rule, at the expression:\n"
' 0xac\n\n'
'Expected to match the byte value 0xac'
)
raise ParseError((title + details), _pos, line, col)
class i64_extend_i32_u(Node):
"""
class i64_extend_i32_u {
let id: 0xad
}
"""
_fields = ()
id = 0xad
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_extend_i32_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_extend_i32_u, fullparse)
def _try_i64_extend_i32_u(_text, _pos):
# Begin Seq
start_pos203 = _pos
while True:
# Begin Byte
# 0xad
if (_pos < len(_text)) and (_text[_pos] == 173):
_result = 173
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1608
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_extend_i32_u()
_result._metadata.position_info = (start_pos203, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1608(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_extend_i32_u' rule, at the expression:\n"
' 0xad\n\n'
'Expected to match the byte value 0xad'
)
raise ParseError((title + details), _pos, line, col)
class i64_trunc_f32_s(Node):
"""
class i64_trunc_f32_s {
let id: 0xae
}
"""
_fields = ()
id = 0xae
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_trunc_f32_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_trunc_f32_s, fullparse)
def _try_i64_trunc_f32_s(_text, _pos):
# Begin Seq
start_pos204 = _pos
while True:
# Begin Byte
# 0xae
if (_pos < len(_text)) and (_text[_pos] == 174):
_result = 174
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1612
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_trunc_f32_s()
_result._metadata.position_info = (start_pos204, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1612(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_f32_s' rule, at the expression:\n"
' 0xae\n\n'
'Expected to match the byte value 0xae'
)
raise ParseError((title + details), _pos, line, col)
class i64_trunc_f32_u(Node):
"""
class i64_trunc_f32_u {
let id: 0xaf
}
"""
_fields = ()
id = 0xaf
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_trunc_f32_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_trunc_f32_u, fullparse)
def _try_i64_trunc_f32_u(_text, _pos):
# Begin Seq
start_pos205 = _pos
while True:
# Begin Byte
# 0xaf
if (_pos < len(_text)) and (_text[_pos] == 175):
_result = 175
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1616
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_trunc_f32_u()
_result._metadata.position_info = (start_pos205, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1616(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_f32_u' rule, at the expression:\n"
' 0xaf\n\n'
'Expected to match the byte value 0xaf'
)
raise ParseError((title + details), _pos, line, col)
class i64_trunc_f64_s(Node):
"""
class i64_trunc_f64_s {
let id: 0xb0
}
"""
_fields = ()
id = 0xb0
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_trunc_f64_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_trunc_f64_s, fullparse)
def _try_i64_trunc_f64_s(_text, _pos):
# Begin Seq
start_pos206 = _pos
while True:
# Begin Byte
# 0xb0
if (_pos < len(_text)) and (_text[_pos] == 176):
_result = 176
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1620
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_trunc_f64_s()
_result._metadata.position_info = (start_pos206, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1620(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_f64_s' rule, at the expression:\n"
' 0xb0\n\n'
'Expected to match the byte value 0xb0'
)
raise ParseError((title + details), _pos, line, col)
class i64_trunc_f64_u(Node):
"""
class i64_trunc_f64_u {
let id: 0xb1
}
"""
_fields = ()
id = 0xb1
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_trunc_f64_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_trunc_f64_u, fullparse)
def _try_i64_trunc_f64_u(_text, _pos):
# Begin Seq
start_pos207 = _pos
while True:
# Begin Byte
# 0xb1
if (_pos < len(_text)) and (_text[_pos] == 177):
_result = 177
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1624
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_trunc_f64_u()
_result._metadata.position_info = (start_pos207, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1624(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_f64_u' rule, at the expression:\n"
' 0xb1\n\n'
'Expected to match the byte value 0xb1'
)
raise ParseError((title + details), _pos, line, col)
class f32_convert_i32_s(Node):
"""
class f32_convert_i32_s {
let id: 0xb2
}
"""
_fields = ()
id = 0xb2
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_convert_i32_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_convert_i32_s, fullparse)
def _try_f32_convert_i32_s(_text, _pos):
# Begin Seq
start_pos208 = _pos
while True:
# Begin Byte
# 0xb2
if (_pos < len(_text)) and (_text[_pos] == 178):
_result = 178
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1628
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_convert_i32_s()
_result._metadata.position_info = (start_pos208, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1628(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_convert_i32_s' rule, at the expression:\n"
' 0xb2\n\n'
'Expected to match the byte value 0xb2'
)
raise ParseError((title + details), _pos, line, col)
class f32_convert_i32_u(Node):
"""
class f32_convert_i32_u {
let id: 0xb3
}
"""
_fields = ()
id = 0xb3
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_convert_i32_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_convert_i32_u, fullparse)
def _try_f32_convert_i32_u(_text, _pos):
# Begin Seq
start_pos209 = _pos
while True:
# Begin Byte
# 0xb3
if (_pos < len(_text)) and (_text[_pos] == 179):
_result = 179
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1632
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_convert_i32_u()
_result._metadata.position_info = (start_pos209, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1632(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_convert_i32_u' rule, at the expression:\n"
' 0xb3\n\n'
'Expected to match the byte value 0xb3'
)
raise ParseError((title + details), _pos, line, col)
class f32_convert_i64_s(Node):
"""
class f32_convert_i64_s {
let id: 0xb4
}
"""
_fields = ()
id = 0xb4
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_convert_i64_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_convert_i64_s, fullparse)
def _try_f32_convert_i64_s(_text, _pos):
# Begin Seq
start_pos210 = _pos
while True:
# Begin Byte
# 0xb4
if (_pos < len(_text)) and (_text[_pos] == 180):
_result = 180
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1636
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_convert_i64_s()
_result._metadata.position_info = (start_pos210, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1636(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_convert_i64_s' rule, at the expression:\n"
' 0xb4\n\n'
'Expected to match the byte value 0xb4'
)
raise ParseError((title + details), _pos, line, col)
class f32_convert_i64_u(Node):
"""
class f32_convert_i64_u {
let id: 0xb5
}
"""
_fields = ()
id = 0xb5
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_convert_i64_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_convert_i64_u, fullparse)
def _try_f32_convert_i64_u(_text, _pos):
# Begin Seq
start_pos211 = _pos
while True:
# Begin Byte
# 0xb5
if (_pos < len(_text)) and (_text[_pos] == 181):
_result = 181
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1640
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_convert_i64_u()
_result._metadata.position_info = (start_pos211, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1640(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_convert_i64_u' rule, at the expression:\n"
' 0xb5\n\n'
'Expected to match the byte value 0xb5'
)
raise ParseError((title + details), _pos, line, col)
class f32_demote_f64(Node):
"""
class f32_demote_f64 {
let id: 0xb6
}
"""
_fields = ()
id = 0xb6
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_demote_f64()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_demote_f64, fullparse)
def _try_f32_demote_f64(_text, _pos):
# Begin Seq
start_pos212 = _pos
while True:
# Begin Byte
# 0xb6
if (_pos < len(_text)) and (_text[_pos] == 182):
_result = 182
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1644
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_demote_f64()
_result._metadata.position_info = (start_pos212, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1644(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_demote_f64' rule, at the expression:\n"
' 0xb6\n\n'
'Expected to match the byte value 0xb6'
)
raise ParseError((title + details), _pos, line, col)
class f64_convert_i32_s(Node):
"""
class f64_convert_i32_s {
let id: 0xb7
}
"""
_fields = ()
id = 0xb7
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_convert_i32_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_convert_i32_s, fullparse)
def _try_f64_convert_i32_s(_text, _pos):
# Begin Seq
start_pos213 = _pos
while True:
# Begin Byte
# 0xb7
if (_pos < len(_text)) and (_text[_pos] == 183):
_result = 183
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1648
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_convert_i32_s()
_result._metadata.position_info = (start_pos213, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1648(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_convert_i32_s' rule, at the expression:\n"
' 0xb7\n\n'
'Expected to match the byte value 0xb7'
)
raise ParseError((title + details), _pos, line, col)
class f64_convert_i32_u(Node):
"""
class f64_convert_i32_u {
let id: 0xb8
}
"""
_fields = ()
id = 0xb8
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_convert_i32_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_convert_i32_u, fullparse)
def _try_f64_convert_i32_u(_text, _pos):
# Begin Seq
start_pos214 = _pos
while True:
# Begin Byte
# 0xb8
if (_pos < len(_text)) and (_text[_pos] == 184):
_result = 184
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1652
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_convert_i32_u()
_result._metadata.position_info = (start_pos214, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1652(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_convert_i32_u' rule, at the expression:\n"
' 0xb8\n\n'
'Expected to match the byte value 0xb8'
)
raise ParseError((title + details), _pos, line, col)
class f64_convert_i64_s(Node):
"""
class f64_convert_i64_s {
let id: 0xb9
}
"""
_fields = ()
id = 0xb9
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_convert_i64_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_convert_i64_s, fullparse)
def _try_f64_convert_i64_s(_text, _pos):
# Begin Seq
start_pos215 = _pos
while True:
# Begin Byte
# 0xb9
if (_pos < len(_text)) and (_text[_pos] == 185):
_result = 185
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1656
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_convert_i64_s()
_result._metadata.position_info = (start_pos215, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1656(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_convert_i64_s' rule, at the expression:\n"
' 0xb9\n\n'
'Expected to match the byte value 0xb9'
)
raise ParseError((title + details), _pos, line, col)
class f64_convert_i64_u(Node):
"""
class f64_convert_i64_u {
let id: 0xba
}
"""
_fields = ()
id = 0xba
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_convert_i64_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_convert_i64_u, fullparse)
def _try_f64_convert_i64_u(_text, _pos):
# Begin Seq
start_pos216 = _pos
while True:
# Begin Byte
# 0xba
if (_pos < len(_text)) and (_text[_pos] == 186):
_result = 186
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1660
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_convert_i64_u()
_result._metadata.position_info = (start_pos216, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1660(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_convert_i64_u' rule, at the expression:\n"
' 0xba\n\n'
'Expected to match the byte value 0xba'
)
raise ParseError((title + details), _pos, line, col)
class f64_promote_f32(Node):
"""
class f64_promote_f32 {
let id: 0xbb
}
"""
_fields = ()
id = 0xbb
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_promote_f32()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_promote_f32, fullparse)
def _try_f64_promote_f32(_text, _pos):
# Begin Seq
start_pos217 = _pos
while True:
# Begin Byte
# 0xbb
if (_pos < len(_text)) and (_text[_pos] == 187):
_result = 187
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1664
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_promote_f32()
_result._metadata.position_info = (start_pos217, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1664(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_promote_f32' rule, at the expression:\n"
' 0xbb\n\n'
'Expected to match the byte value 0xbb'
)
raise ParseError((title + details), _pos, line, col)
class i32_reinterpret_f32(Node):
"""
class i32_reinterpret_f32 {
let id: 0xbc
}
"""
_fields = ()
id = 0xbc
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_reinterpret_f32()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_reinterpret_f32, fullparse)
def _try_i32_reinterpret_f32(_text, _pos):
# Begin Seq
start_pos218 = _pos
while True:
# Begin Byte
# 0xbc
if (_pos < len(_text)) and (_text[_pos] == 188):
_result = 188
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1668
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_reinterpret_f32()
_result._metadata.position_info = (start_pos218, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1668(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_reinterpret_f32' rule, at the expression:\n"
' 0xbc\n\n'
'Expected to match the byte value 0xbc'
)
raise ParseError((title + details), _pos, line, col)
class i64_reinterpret_f64(Node):
"""
class i64_reinterpret_f64 {
let id: 0xbd
}
"""
_fields = ()
id = 0xbd
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_reinterpret_f64()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_reinterpret_f64, fullparse)
def _try_i64_reinterpret_f64(_text, _pos):
# Begin Seq
start_pos219 = _pos
while True:
# Begin Byte
# 0xbd
if (_pos < len(_text)) and (_text[_pos] == 189):
_result = 189
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1672
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_reinterpret_f64()
_result._metadata.position_info = (start_pos219, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1672(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_reinterpret_f64' rule, at the expression:\n"
' 0xbd\n\n'
'Expected to match the byte value 0xbd'
)
raise ParseError((title + details), _pos, line, col)
class f32_reinterpret_i32(Node):
"""
class f32_reinterpret_i32 {
let id: 0xbe
}
"""
_fields = ()
id = 0xbe
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f32_reinterpret_i32()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f32_reinterpret_i32, fullparse)
def _try_f32_reinterpret_i32(_text, _pos):
# Begin Seq
start_pos220 = _pos
while True:
# Begin Byte
# 0xbe
if (_pos < len(_text)) and (_text[_pos] == 190):
_result = 190
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1676
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f32_reinterpret_i32()
_result._metadata.position_info = (start_pos220, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1676(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f32_reinterpret_i32' rule, at the expression:\n"
' 0xbe\n\n'
'Expected to match the byte value 0xbe'
)
raise ParseError((title + details), _pos, line, col)
class f64_reinterpret_i64(Node):
"""
class f64_reinterpret_i64 {
let id: 0xbf
}
"""
_fields = ()
id = 0xbf
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'f64_reinterpret_i64()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_f64_reinterpret_i64, fullparse)
def _try_f64_reinterpret_i64(_text, _pos):
# Begin Seq
start_pos221 = _pos
while True:
# Begin Byte
# 0xbf
if (_pos < len(_text)) and (_text[_pos] == 191):
_result = 191
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1680
_status = False
# End Byte
if not (_status):
break
id = _result
_result = f64_reinterpret_i64()
_result._metadata.position_info = (start_pos221, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1680(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'f64_reinterpret_i64' rule, at the expression:\n"
' 0xbf\n\n'
'Expected to match the byte value 0xbf'
)
raise ParseError((title + details), _pos, line, col)
class i32_extend8_s(Node):
"""
class i32_extend8_s {
let id: 0xc0
}
"""
_fields = ()
id = 0xc0
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_extend8_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_extend8_s, fullparse)
def _try_i32_extend8_s(_text, _pos):
# Begin Seq
start_pos222 = _pos
while True:
# Begin Byte
# 0xc0
if (_pos < len(_text)) and (_text[_pos] == 192):
_result = 192
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1684
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_extend8_s()
_result._metadata.position_info = (start_pos222, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1684(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_extend8_s' rule, at the expression:\n"
' 0xc0\n\n'
'Expected to match the byte value 0xc0'
)
raise ParseError((title + details), _pos, line, col)
class i32_extend16_s(Node):
"""
class i32_extend16_s {
let id: 0xc1
}
"""
_fields = ()
id = 0xc1
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_extend16_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_extend16_s, fullparse)
def _try_i32_extend16_s(_text, _pos):
# Begin Seq
start_pos223 = _pos
while True:
# Begin Byte
# 0xc1
if (_pos < len(_text)) and (_text[_pos] == 193):
_result = 193
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1688
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i32_extend16_s()
_result._metadata.position_info = (start_pos223, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1688(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_extend16_s' rule, at the expression:\n"
' 0xc1\n\n'
'Expected to match the byte value 0xc1'
)
raise ParseError((title + details), _pos, line, col)
class i64_extend8_s(Node):
"""
class i64_extend8_s {
let id: 0xc2
}
"""
_fields = ()
id = 0xc2
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_extend8_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_extend8_s, fullparse)
def _try_i64_extend8_s(_text, _pos):
# Begin Seq
start_pos224 = _pos
while True:
# Begin Byte
# 0xc2
if (_pos < len(_text)) and (_text[_pos] == 194):
_result = 194
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1692
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_extend8_s()
_result._metadata.position_info = (start_pos224, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1692(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_extend8_s' rule, at the expression:\n"
' 0xc2\n\n'
'Expected to match the byte value 0xc2'
)
raise ParseError((title + details), _pos, line, col)
class i64_extend16_s(Node):
"""
class i64_extend16_s {
let id: 0xc3
}
"""
_fields = ()
id = 0xc3
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_extend16_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_extend16_s, fullparse)
def _try_i64_extend16_s(_text, _pos):
# Begin Seq
start_pos225 = _pos
while True:
# Begin Byte
# 0xc3
if (_pos < len(_text)) and (_text[_pos] == 195):
_result = 195
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1696
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_extend16_s()
_result._metadata.position_info = (start_pos225, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1696(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_extend16_s' rule, at the expression:\n"
' 0xc3\n\n'
'Expected to match the byte value 0xc3'
)
raise ParseError((title + details), _pos, line, col)
class i64_extend32_s(Node):
"""
class i64_extend32_s {
let id: 0xc4
}
"""
_fields = ()
id = 0xc4
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_extend32_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_extend32_s, fullparse)
def _try_i64_extend32_s(_text, _pos):
# Begin Seq
start_pos226 = _pos
while True:
# Begin Byte
# 0xc4
if (_pos < len(_text)) and (_text[_pos] == 196):
_result = 196
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1700
_status = False
# End Byte
if not (_status):
break
id = _result
_result = i64_extend32_s()
_result._metadata.position_info = (start_pos226, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1700(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_extend32_s' rule, at the expression:\n"
' 0xc4\n\n'
'Expected to match the byte value 0xc4'
)
raise ParseError((title + details), _pos, line, col)
class i32_trunc_sat_f32_s(Node):
"""
class i32_trunc_sat_f32_s {
let id: 0xfc
let code: 0x0
}
"""
_fields = ()
id = 0xfc
code = 0x0
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_trunc_sat_f32_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_trunc_sat_f32_s, fullparse)
def _try_i32_trunc_sat_f32_s(_text, _pos):
# Begin Seq
start_pos227 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1704
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1706
_status = False
# End Byte
if not (_status):
break
code = _result
_result = i32_trunc_sat_f32_s()
_result._metadata.position_info = (start_pos227, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1704(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_sat_f32_s' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1706(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_sat_f32_s' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class i32_trunc_sat_f32_u(Node):
"""
class i32_trunc_sat_f32_u {
let id: 0xfc
let code: 0x1
}
"""
_fields = ()
id = 0xfc
code = 0x1
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_trunc_sat_f32_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_trunc_sat_f32_u, fullparse)
def _try_i32_trunc_sat_f32_u(_text, _pos):
# Begin Seq
start_pos228 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1710
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x1
if (_pos < len(_text)) and (_text[_pos] == 1):
_result = 1
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1712
_status = False
# End Byte
if not (_status):
break
code = _result
_result = i32_trunc_sat_f32_u()
_result._metadata.position_info = (start_pos228, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1710(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_sat_f32_u' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1712(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_sat_f32_u' rule, at the expression:\n"
' 0x1\n\n'
'Expected to match the byte value 0x1'
)
raise ParseError((title + details), _pos, line, col)
class i32_trunc_sat_f64_s(Node):
"""
class i32_trunc_sat_f64_s {
let id: 0xfc
let code: 0x2
}
"""
_fields = ()
id = 0xfc
code = 0x2
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_trunc_sat_f64_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_trunc_sat_f64_s, fullparse)
def _try_i32_trunc_sat_f64_s(_text, _pos):
# Begin Seq
start_pos229 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1716
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x2
if (_pos < len(_text)) and (_text[_pos] == 2):
_result = 2
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1718
_status = False
# End Byte
if not (_status):
break
code = _result
_result = i32_trunc_sat_f64_s()
_result._metadata.position_info = (start_pos229, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1716(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_sat_f64_s' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1718(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_sat_f64_s' rule, at the expression:\n"
' 0x2\n\n'
'Expected to match the byte value 0x2'
)
raise ParseError((title + details), _pos, line, col)
class i32_trunc_sat_f64_u(Node):
"""
class i32_trunc_sat_f64_u {
let id: 0xfc
let code: 0x3
}
"""
_fields = ()
id = 0xfc
code = 0x3
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i32_trunc_sat_f64_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i32_trunc_sat_f64_u, fullparse)
def _try_i32_trunc_sat_f64_u(_text, _pos):
# Begin Seq
start_pos230 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1722
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x3
if (_pos < len(_text)) and (_text[_pos] == 3):
_result = 3
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1724
_status = False
# End Byte
if not (_status):
break
code = _result
_result = i32_trunc_sat_f64_u()
_result._metadata.position_info = (start_pos230, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1722(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_sat_f64_u' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1724(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i32_trunc_sat_f64_u' rule, at the expression:\n"
' 0x3\n\n'
'Expected to match the byte value 0x3'
)
raise ParseError((title + details), _pos, line, col)
class i64_trunc_sat_f32_s(Node):
"""
class i64_trunc_sat_f32_s {
let id: 0xfc
let code: 0x4
}
"""
_fields = ()
id = 0xfc
code = 0x4
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_trunc_sat_f32_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_trunc_sat_f32_s, fullparse)
def _try_i64_trunc_sat_f32_s(_text, _pos):
# Begin Seq
start_pos231 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1728
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x4
if (_pos < len(_text)) and (_text[_pos] == 4):
_result = 4
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1730
_status = False
# End Byte
if not (_status):
break
code = _result
_result = i64_trunc_sat_f32_s()
_result._metadata.position_info = (start_pos231, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1728(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_sat_f32_s' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1730(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_sat_f32_s' rule, at the expression:\n"
' 0x4\n\n'
'Expected to match the byte value 0x4'
)
raise ParseError((title + details), _pos, line, col)
class i64_trunc_sat_f32_u(Node):
"""
class i64_trunc_sat_f32_u {
let id: 0xfc
let code: 0x5
}
"""
_fields = ()
id = 0xfc
code = 0x5
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_trunc_sat_f32_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_trunc_sat_f32_u, fullparse)
def _try_i64_trunc_sat_f32_u(_text, _pos):
# Begin Seq
start_pos232 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1734
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x5
if (_pos < len(_text)) and (_text[_pos] == 5):
_result = 5
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1736
_status = False
# End Byte
if not (_status):
break
code = _result
_result = i64_trunc_sat_f32_u()
_result._metadata.position_info = (start_pos232, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1734(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_sat_f32_u' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1736(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_sat_f32_u' rule, at the expression:\n"
' 0x5\n\n'
'Expected to match the byte value 0x5'
)
raise ParseError((title + details), _pos, line, col)
class i64_trunc_sat_f64_s(Node):
"""
class i64_trunc_sat_f64_s {
let id: 0xfc
let code: 0x6
}
"""
_fields = ()
id = 0xfc
code = 0x6
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_trunc_sat_f64_s()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_trunc_sat_f64_s, fullparse)
def _try_i64_trunc_sat_f64_s(_text, _pos):
# Begin Seq
start_pos233 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1740
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x6
if (_pos < len(_text)) and (_text[_pos] == 6):
_result = 6
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1742
_status = False
# End Byte
if not (_status):
break
code = _result
_result = i64_trunc_sat_f64_s()
_result._metadata.position_info = (start_pos233, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1740(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_sat_f64_s' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1742(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_sat_f64_s' rule, at the expression:\n"
' 0x6\n\n'
'Expected to match the byte value 0x6'
)
raise ParseError((title + details), _pos, line, col)
class i64_trunc_sat_f64_u(Node):
"""
class i64_trunc_sat_f64_u {
let id: 0xfc
let code: 0x7
}
"""
_fields = ()
id = 0xfc
code = 0x7
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'i64_trunc_sat_f64_u()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_i64_trunc_sat_f64_u, fullparse)
def _try_i64_trunc_sat_f64_u(_text, _pos):
# Begin Seq
start_pos234 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1746
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x7
if (_pos < len(_text)) and (_text[_pos] == 7):
_result = 7
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1748
_status = False
# End Byte
if not (_status):
break
code = _result
_result = i64_trunc_sat_f64_u()
_result._metadata.position_info = (start_pos234, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1746(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_sat_f64_u' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1748(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'i64_trunc_sat_f64_u' rule, at the expression:\n"
' 0x7\n\n'
'Expected to match the byte value 0x7'
)
raise ParseError((title + details), _pos, line, col)
class memory_init(Node):
"""
class memory_init {
let id: 0xfc
let code: 0x8
data_index: DataIndex
let zero: 0x0
}
"""
_fields = ('data_index',)
id = 0xfc
code = 0x8
zero = 0x0
def __init__(self, data_index):
Node.__init__(self)
self.data_index = data_index
def __repr__(self):
return f'memory_init(data_index={self.data_index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_memory_init, fullparse)
def _try_memory_init(_text, _pos):
# Begin Seq
start_pos235 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1752
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x8
if (_pos < len(_text)) and (_text[_pos] == 8):
_result = 8
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1754
_status = False
# End Byte
if not (_status):
break
code = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_DataIndex, _pos))
# End Ref
if not (_status):
break
data_index = _result
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1758
_status = False
# End Byte
if not (_status):
break
zero = _result
_result = memory_init(data_index)
_result._metadata.position_info = (start_pos235, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1752(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_init' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1754(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_init' rule, at the expression:\n"
' 0x8\n\n'
'Expected to match the byte value 0x8'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1758(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_init' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class data_drop(Node):
"""
class data_drop {
let id: 0xfc
let code: 0x9
data_index: DataIndex
}
"""
_fields = ('data_index',)
id = 0xfc
code = 0x9
def __init__(self, data_index):
Node.__init__(self)
self.data_index = data_index
def __repr__(self):
return f'data_drop(data_index={self.data_index!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_data_drop, fullparse)
def _try_data_drop(_text, _pos):
# Begin Seq
start_pos236 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1762
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x9
if (_pos < len(_text)) and (_text[_pos] == 9):
_result = 9
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1764
_status = False
# End Byte
if not (_status):
break
code = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_DataIndex, _pos))
# End Ref
if not (_status):
break
data_index = _result
_result = data_drop(data_index)
_result._metadata.position_info = (start_pos236, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1762(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'data_drop' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1764(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'data_drop' rule, at the expression:\n"
' 0x9\n\n'
'Expected to match the byte value 0x9'
)
raise ParseError((title + details), _pos, line, col)
class memory_copy(Node):
"""
class memory_copy {
let id: 0xfc
let code: 0xa
let zeros: b'\\x00\\x00'
}
"""
_fields = ()
id = 0xfc
code = 0xa
zeros = b'\x00\x00'
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'memory_copy()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_memory_copy, fullparse)
def _try_memory_copy(_text, _pos):
# Begin Seq
start_pos237 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1770
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0xa
if (_pos < len(_text)) and (_text[_pos] == 10):
_result = 10
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1772
_status = False
# End Byte
if not (_status):
break
code = _result
# Begin Str
value3 = b'\x00\x00'
end3 = (_pos + 2)
if (_text[slice(_pos, end3, None)] == value3):
_result = value3
_pos = end3
_status = True
else:
_result = _raise_error1774
_status = False
# End Str
if not (_status):
break
zeros = _result
_result = memory_copy()
_result._metadata.position_info = (start_pos237, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1770(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_copy' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1772(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_copy' rule, at the expression:\n"
' 0xa\n\n'
'Expected to match the byte value 0xa'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1774(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_copy' rule, at the expression:\n"
" b'\\x00\\x00'\n\n"
"Expected to match the string b'\\x00\\x00'"
)
raise ParseError((title + details), _pos, line, col)
class memory_fill(Node):
"""
class memory_fill {
let id: 0xfc
let code: 0xb
let zero: 0x0
}
"""
_fields = ()
id = 0xfc
code = 0xb
zero = 0x0
def __init__(self):
Node.__init__(self)
def __repr__(self):
return f'memory_fill()'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_memory_fill, fullparse)
def _try_memory_fill(_text, _pos):
# Begin Seq
start_pos238 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1778
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0xb
if (_pos < len(_text)) and (_text[_pos] == 11):
_result = 11
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1780
_status = False
# End Byte
if not (_status):
break
code = _result
# Begin Byte
# 0x0
if (_pos < len(_text)) and (_text[_pos] == 0):
_result = 0
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1782
_status = False
# End Byte
if not (_status):
break
zero = _result
_result = memory_fill()
_result._metadata.position_info = (start_pos238, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1778(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_fill' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1780(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_fill' rule, at the expression:\n"
' 0xb\n\n'
'Expected to match the byte value 0xb'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1782(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'memory_fill' rule, at the expression:\n"
' 0x0\n\n'
'Expected to match the byte value 0x0'
)
raise ParseError((title + details), _pos, line, col)
class table_init(Node):
"""
class table_init {
let id: 0xfc
let code: 0xc
element: ElementIndex
table: TableIndex
}
"""
_fields = ('element', 'table')
id = 0xfc
code = 0xc
def __init__(self, element, table):
Node.__init__(self)
self.element = element
self.table = table
def __repr__(self):
return f'table_init(element={self.element!r}, table={self.table!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_table_init, fullparse)
def _try_table_init(_text, _pos):
# Begin Seq
start_pos239 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1786
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0xc
if (_pos < len(_text)) and (_text[_pos] == 12):
_result = 12
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1788
_status = False
# End Byte
if not (_status):
break
code = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ElementIndex, _pos))
# End Ref
if not (_status):
break
element = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
table = _result
_result = table_init(element, table)
_result._metadata.position_info = (start_pos239, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1786(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_init' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1788(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_init' rule, at the expression:\n"
' 0xc\n\n'
'Expected to match the byte value 0xc'
)
raise ParseError((title + details), _pos, line, col)
class elem_drop(Node):
"""
class elem_drop {
let id: 0xfc
let code: 0xd
element: ElementIndex
}
"""
_fields = ('element',)
id = 0xfc
code = 0xd
def __init__(self, element):
Node.__init__(self)
self.element = element
def __repr__(self):
return f'elem_drop(element={self.element!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_elem_drop, fullparse)
def _try_elem_drop(_text, _pos):
# Begin Seq
start_pos240 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1796
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0xd
if (_pos < len(_text)) and (_text[_pos] == 13):
_result = 13
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1798
_status = False
# End Byte
if not (_status):
break
code = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_ElementIndex, _pos))
# End Ref
if not (_status):
break
element = _result
_result = elem_drop(element)
_result._metadata.position_info = (start_pos240, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1796(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'elem_drop' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1798(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'elem_drop' rule, at the expression:\n"
' 0xd\n\n'
'Expected to match the byte value 0xd'
)
raise ParseError((title + details), _pos, line, col)
class table_copy(Node):
"""
class table_copy {
let id: 0xfc
let code: 0xe
destination: TableIndex
source: TableIndex
}
"""
_fields = ('destination', 'source')
id = 0xfc
code = 0xe
def __init__(self, destination, source):
Node.__init__(self)
self.destination = destination
self.source = source
def __repr__(self):
return f'table_copy(destination={self.destination!r}, source={self.source!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_table_copy, fullparse)
def _try_table_copy(_text, _pos):
# Begin Seq
start_pos241 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1804
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0xe
if (_pos < len(_text)) and (_text[_pos] == 14):
_result = 14
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1806
_status = False
# End Byte
if not (_status):
break
code = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
destination = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
source = _result
_result = table_copy(destination, source)
_result._metadata.position_info = (start_pos241, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1804(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_copy' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1806(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_copy' rule, at the expression:\n"
' 0xe\n\n'
'Expected to match the byte value 0xe'
)
raise ParseError((title + details), _pos, line, col)
class table_grow(Node):
"""
class table_grow {
let id: 0xfc
let code: 0xf
table: TableIndex
}
"""
_fields = ('table',)
id = 0xfc
code = 0xf
def __init__(self, table):
Node.__init__(self)
self.table = table
def __repr__(self):
return f'table_grow(table={self.table!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_table_grow, fullparse)
def _try_table_grow(_text, _pos):
# Begin Seq
start_pos242 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1814
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0xf
if (_pos < len(_text)) and (_text[_pos] == 15):
_result = 15
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1816
_status = False
# End Byte
if not (_status):
break
code = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
table = _result
_result = table_grow(table)
_result._metadata.position_info = (start_pos242, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1814(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_grow' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1816(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_grow' rule, at the expression:\n"
' 0xf\n\n'
'Expected to match the byte value 0xf'
)
raise ParseError((title + details), _pos, line, col)
class table_size(Node):
"""
class table_size {
let id: 0xfc
let code: 0x10
table: TableIndex
}
"""
_fields = ('table',)
id = 0xfc
code = 0x10
def __init__(self, table):
Node.__init__(self)
self.table = table
def __repr__(self):
return f'table_size(table={self.table!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_table_size, fullparse)
def _try_table_size(_text, _pos):
# Begin Seq
start_pos243 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1822
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x10
if (_pos < len(_text)) and (_text[_pos] == 16):
_result = 16
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1824
_status = False
# End Byte
if not (_status):
break
code = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
table = _result
_result = table_size(table)
_result._metadata.position_info = (start_pos243, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1822(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_size' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1824(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_size' rule, at the expression:\n"
' 0x10\n\n'
'Expected to match the byte value 0x10'
)
raise ParseError((title + details), _pos, line, col)
class table_fill(Node):
"""
class table_fill {
let id: 0xfc
let code: 0x11
table: TableIndex
}
"""
_fields = ('table',)
id = 0xfc
code = 0x11
def __init__(self, table):
Node.__init__(self)
self.table = table
def __repr__(self):
return f'table_fill(table={self.table!r})'
@staticmethod
def parse(text, pos=0, fullparse=True):
return _run(text, pos, _try_table_fill, fullparse)
def _try_table_fill(_text, _pos):
# Begin Seq
start_pos244 = _pos
while True:
# Begin Byte
# 0xfc
if (_pos < len(_text)) and (_text[_pos] == 252):
_result = 252
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1830
_status = False
# End Byte
if not (_status):
break
id = _result
# Begin Byte
# 0x11
if (_pos < len(_text)) and (_text[_pos] == 17):
_result = 17
_pos = (_pos + 1)
_status = True
else:
_result = _raise_error1832
_status = False
# End Byte
if not (_status):
break
code = _result
# Begin Ref
(_status, _result, _pos) = (yield (3, _try_TableIndex, _pos))
# End Ref
if not (_status):
break
table = _result
_result = table_fill(table)
_result._metadata.position_info = (start_pos244, _pos)
break
# End Seq
yield (_status, _result, _pos)
def _raise_error1830(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_fill' rule, at the expression:\n"
' 0xfc\n\n'
'Expected to match the byte value 0xfc'
)
raise ParseError((title + details), _pos, line, col)
def _raise_error1832(_text, _pos):
if (len(_text) <= _pos):
title = 'Unexpected end of input.'
line = None
col = None
else:
(line, col) = _get_line_and_column(_text, _pos)
excerpt = _extract_excerpt(_text, _pos, col)
title = f'Error on line {line}, column {col}:\n{excerpt}\n'
details = (
"Failed to parse the 'table_fill' rule, at the expression:\n"
' 0x11\n\n'
'Expected to match the byte value 0x11'
)
raise ParseError((title + details), _pos, line, col)
| 26.798648
| 2,551
| 0.553351
| 69,272
| 590,669
| 4.336153
| 0.021524
| 0.053507
| 0.035306
| 0.023384
| 0.848472
| 0.810366
| 0.758997
| 0.719846
| 0.663363
| 0.620996
| 0
| 0.046916
| 0.344149
| 590,669
| 22,040
| 2,552
| 26.799864
| 0.72846
| 0.100347
| 0
| 0.679235
| 1
| 0.00101
| 0.133938
| 0.014134
| 0
| 0
| 0.005894
| 0
| 0
| 1
| 0.092445
| false
| 0.001683
| 0.003771
| 0.03582
| 0.184958
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
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| null | 0
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| 0
| 0
|
0
| 7
|
c042663e1c1f5cad636ece92f5590cb7092ff57d
| 2,518
|
py
|
Python
|
air_hockey/game/scripting/control_striker_action.py
|
Nemo3003/cse210-06
|
30ecefac7f23927be904f48b29492bb2220262a8
|
[
"Apache-2.0"
] | null | null | null |
air_hockey/game/scripting/control_striker_action.py
|
Nemo3003/cse210-06
|
30ecefac7f23927be904f48b29492bb2220262a8
|
[
"Apache-2.0"
] | null | null | null |
air_hockey/game/scripting/control_striker_action.py
|
Nemo3003/cse210-06
|
30ecefac7f23927be904f48b29492bb2220262a8
|
[
"Apache-2.0"
] | null | null | null |
from constants import *
from game.scripting.action import Action
"""
The striker must be controlled! so this is why this module exists :)
"""
class ControlStrikerAction(Action):
def __init__(self, keyboard_service):
self._keyboard_service = keyboard_service
def execute(self, cast, script, callback):
striker = cast.get_first_actor(STRIKER_GROUP)
if self._keyboard_service.is_key_down(D) & self._keyboard_service.is_key_down(W):
striker.swing_upright()
elif self._keyboard_service.is_key_down(A) & self._keyboard_service.is_key_down(W):
striker.swing_upleft()
elif self._keyboard_service.is_key_down(D) & self._keyboard_service.is_key_down(S):
striker.swing_downright()
elif self._keyboard_service.is_key_down(A) & self._keyboard_service.is_key_down(S):
striker.swing_downleft()
elif self._keyboard_service.is_key_down(A):
striker.swing_left()
elif self._keyboard_service.is_key_down(D):
striker.swing_right()
elif self._keyboard_service.is_key_down(W):
striker.swing_up()
elif self._keyboard_service.is_key_down(S):
striker.swing_down()
else:
striker.stop_moving()
class ControlStrikerAction2(Action):
def __init__(self, keyboard_service):
self._keyboard_service = keyboard_service
def execute(self, cast, script, callback):
striker2 = cast.get_first_actor(STRIKER_GROUP2)
if self._keyboard_service.is_key_down(RIGHT) & self._keyboard_service.is_key_down(UP):
striker2.swing_upright()
elif self._keyboard_service.is_key_down(LEFT) & self._keyboard_service.is_key_down(UP):
striker2.swing_upleft()
elif self._keyboard_service.is_key_down(RIGHT) & self._keyboard_service.is_key_down(DOWN):
striker2.swing_downright()
elif self._keyboard_service.is_key_down(LEFT) & self._keyboard_service.is_key_down(DOWN):
striker2.swing_downleft()
elif self._keyboard_service.is_key_down(LEFT):
striker2.swing_left()
elif self._keyboard_service.is_key_down(RIGHT):
striker2.swing_right()
elif self._keyboard_service.is_key_down(UP):
striker2.swing_up()
elif self._keyboard_service.is_key_down(DOWN):
striker2.swing_down()
else:
striker2.stop_moving()
| 38.738462
| 99
| 0.669579
| 313
| 2,518
| 4.952077
| 0.172524
| 0.290323
| 0.343226
| 0.325161
| 0.829032
| 0.798065
| 0.798065
| 0.795484
| 0.788387
| 0.44
| 0
| 0.006276
| 0.240667
| 2,518
| 64
| 100
| 39.34375
| 0.804393
| 0
| 0
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.083333
| false
| 0
| 0.041667
| 0
| 0.166667
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
c04f5c4f7f2dc7583d45657b8e401521be76feba
| 2,918
|
gyp
|
Python
|
binding.gyp
|
sandeepmistry/node-objective-c-runtime
|
e0b26c4b5494b3b10625fb51bcaaf2c4d9511d88
|
[
"MIT"
] | 1
|
2020-08-14T13:00:21.000Z
|
2020-08-14T13:00:21.000Z
|
binding.gyp
|
sandeepmistry/node-objective-c-runtime
|
e0b26c4b5494b3b10625fb51bcaaf2c4d9511d88
|
[
"MIT"
] | null | null | null |
binding.gyp
|
sandeepmistry/node-objective-c-runtime
|
e0b26c4b5494b3b10625fb51bcaaf2c4d9511d88
|
[
"MIT"
] | null | null | null |
# Copyright (c) Sandeep Mistry. All rights reserved.
# Licensed under the MIT license. See LICENSE file in the project root for full license information.
{
'targets': [
{
'target_name': 'class',
'conditions': [
['OS=="mac"', {
'sources': [
'src/class.mm'
],
'xcode_settings': {
'CLANG_CXX_LIBRARY': 'libc++',
'MACOSX_DEPLOYMENT_TARGET': '10.8'
}
}]
],
'include_dirs': ["<!@(node -p \"require('node-addon-api').include\")"],
'dependencies': ["<!(node -p \"require('node-addon-api').gyp\")"],
'defines': [ 'NAPI_DISABLE_CPP_EXCEPTIONS' ],
"link_settings": {
"libraries": ["/System/Library/Frameworks/Foundation.framework"]
}
},
{
'target_name': 'dispatch',
'conditions': [
['OS=="mac"', {
'sources': [
'src/dispatch.cpp'
],
'xcode_settings': {
'CLANG_CXX_LIBRARY': 'libc++',
'MACOSX_DEPLOYMENT_TARGET': '10.8'
}
}]
],
'include_dirs': ["<!@(node -p \"require('node-addon-api').include\")"],
'dependencies': ["<!(node -p \"require('node-addon-api').gyp\")"],
'defines': [ 'NAPI_DISABLE_CPP_EXCEPTIONS' ]
},
{
'target_name': 'dl',
'conditions': [
['OS=="mac"', {
'sources': [
'src/dl.cpp'
],
'xcode_settings': {
'CLANG_CXX_LIBRARY': 'libc++',
'MACOSX_DEPLOYMENT_TARGET': '10.8'
}
}]
],
'include_dirs': ["<!@(node -p \"require('node-addon-api').include\")"],
'dependencies': ["<!(node -p \"require('node-addon-api').gyp\")"],
'defines': [ 'NAPI_DISABLE_CPP_EXCEPTIONS' ]
},
{
'target_name': 'objc',
'conditions': [
['OS=="mac"', {
'sources': [
'src/objc.mm'
],
'xcode_settings': {
'CLANG_CXX_LIBRARY': 'libc++',
'MACOSX_DEPLOYMENT_TARGET': '10.8'
}
}]
],
'include_dirs': ["<!@(node -p \"require('node-addon-api').include\")"],
'dependencies': ["<!(node -p \"require('node-addon-api').gyp\")"],
'defines': [ 'NAPI_DISABLE_CPP_EXCEPTIONS' ],
"link_settings": {
"libraries": ["/System/Library/Frameworks/Foundation.framework"]
}
},
{
'target_name': 'sel',
'conditions': [
['OS=="mac"', {
'sources': [
'src/sel.cpp'
],
'xcode_settings': {
'CLANG_CXX_LIBRARY': 'libc++',
'MACOSX_DEPLOYMENT_TARGET': '10.8'
}
}]
],
'include_dirs': ["<!@(node -p \"require('node-addon-api').include\")"],
'dependencies': ["<!(node -p \"require('node-addon-api').gyp\")"],
'defines': [ 'NAPI_DISABLE_CPP_EXCEPTIONS' ]
}
]
}
| 29.474747
| 100
| 0.473955
| 255
| 2,918
| 5.219608
| 0.25098
| 0.037566
| 0.090158
| 0.12021
| 0.863261
| 0.769346
| 0.769346
| 0.769346
| 0.769346
| 0.769346
| 0
| 0.007545
| 0.318711
| 2,918
| 98
| 101
| 29.77551
| 0.661972
| 0.051062
| 0
| 0.673684
| 0
| 0
| 0.470716
| 0.126175
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fbf4e35a621c1bc0a6f8e4039e181fe29a2bd5c7
| 81,965
|
py
|
Python
|
venv/lib/python3.8/site-packages/arch/tests/univariate/test_variance_forecasting.py
|
johncollinsai/post-high-frequency-data
|
88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4
|
[
"MIT"
] | 1
|
2021-11-27T18:15:30.000Z
|
2021-11-27T18:15:30.000Z
|
venv/lib/python3.8/site-packages/arch/tests/univariate/test_variance_forecasting.py
|
johncollinsai/post-high-frequency-data
|
88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4
|
[
"MIT"
] | null | null | null |
venv/lib/python3.8/site-packages/arch/tests/univariate/test_variance_forecasting.py
|
johncollinsai/post-high-frequency-data
|
88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4
|
[
"MIT"
] | null | null | null |
import numpy as np
from numpy.random import RandomState
from numpy.testing import assert_allclose
import pandas as pd
import pytest
from arch.univariate import arch_model
from arch.univariate.distribution import Normal, StudentsT
from arch.univariate.mean import ConstantMean
try:
from arch.univariate.recursions import figarch_weights
except ImportError:
from arch.univariate.recursions_python import figarch_weights
from arch.univariate.volatility import (
APARCH,
EGARCH,
FIGARCH,
GARCH,
HARCH,
BootstrapRng,
ConstantVariance,
EWMAVariance,
FixedVariance,
MIDASHyperbolic,
RiskMetrics2006,
)
try:
from arch.univariate.recursions import garch_recursion
except ImportError:
from arch.univariate.recursions_python import garch_recursion
def _compare_truncated_forecasts(full, trunc, start):
assert np.all(np.isfinite(trunc.forecasts[:start]))
assert_allclose(trunc.forecasts, full.forecasts[start:])
if full.forecast_paths is None:
assert trunc.forecast_paths is None
assert trunc.shocks is None
return
class PreservedState(object):
"""
Context manager that will save NumPy's random generator's state when entering and restore
the original state when exiting.
"""
def __init__(self, random_state):
self._random_state = random_state
self._state = None
def __enter__(self):
self._state = self._random_state.get_state()
def __exit__(self, exc_type, exc_val, exc_tb):
self._random_state.set_state(self._state)
preserved_state = PreservedState
def _simple_direct_gjrgarch_forecaster(
resids, params, p, o, q, backcast, var_bounds, horizon
):
"""
Simple GARCH forecasting for use when testing model-based forecasts
Parameters
----------
resids : ndarray
params : ndarray
p : int
o : int
q : int
backcast : float
var_bounds : ndarray
horizon : int
Returns
-------
forecasts : ndarray
"""
m = max([p, o, q])
t = resids.shape[0]
_resids = resids
_sigma2 = np.empty(t)
garch_recursion(
params,
resids ** 2.0,
np.sign(resids),
_sigma2,
p,
o,
q,
t,
backcast,
var_bounds,
)
resids = np.empty((t, m + horizon))
asymresids = resids.copy()
sigma2 = np.empty((t, m + horizon))
resids[:, :m] = np.sqrt(backcast)
asymresids[:, :m] = np.sqrt(0.5 * backcast)
sigma2[:, :m] = backcast
for i in range(m):
resids[m - 1 - i :, i] = _resids[: (t - (m - 1) + i)]
asymresids[m - 1 - i :, i] = _resids[: (t - (m - 1) + i)] * (
_resids[: (t - (m - 1) + i)] < 0
)
sigma2[m - 1 - i :, i] = _sigma2[: (t - (m - 1) + i)]
for i in range(m, m + horizon):
sigma2[:, i] = params[0]
ind = 1
for j in range(p):
sigma2[:, i] += params[ind] * resids[:, i - j - 1] ** 2.0
ind += 1
for j in range(o):
sigma2[:, i] += params[ind] * asymresids[:, i - j - 1] ** 2.0
ind += 1
for j in range(q):
sigma2[:, i] += params[ind] * sigma2[:, i - j - 1]
ind += 1
resids[:, i] = np.sqrt(sigma2[:, i])
asymresids[:, i] = np.sqrt(0.5 * sigma2[:, i])
return sigma2[:, m:]
class TestVarianceForecasts(object):
@classmethod
def setup_class(cls):
cls.rng = RandomState(12345)
cls.t = 1000
cls.resid = cls.rng.standard_normal(cls.t) * np.sqrt(10)
def test_constant_variance_forecast(self):
vol = ConstantVariance()
params = np.array([10.0])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
forecast = vol.forecast(params, self.resid, backcast, var_bounds)
assert np.all(np.isfinite(forecast.forecasts))
assert forecast.forecasts[-1] == params[0]
assert forecast.forecast_paths is None
assert forecast.shocks is None
forecast = vol.forecast(params, self.resid, backcast, var_bounds, horizon=5)
assert forecast.forecasts.shape == (1, 5)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(forecast.forecasts == params[0])
assert forecast.forecast_paths is None
assert forecast.shocks is None
forecast = vol.forecast(params, self.resid, backcast, var_bounds, start=100)
assert forecast.forecasts.shape == (900, 1)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(forecast.forecasts == params[0])
assert forecast.forecast_paths is None
assert forecast.shocks is None
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, start=100, horizon=3
)
assert forecast.forecasts.shape == (900, 3)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(forecast.forecasts == params[0])
assert forecast.forecast_paths is None
assert forecast.shocks is None
with pytest.raises(ValueError):
vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=5,
method="bootstrap",
start=0,
simulations=2000,
)
def test_arch_1_forecast(self):
t = self.t
vol = GARCH(p=1, o=0, q=0)
params = np.array([10.0, 0.4])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
forecast = vol.forecast(params, self.resid, backcast, var_bounds)
expected = np.empty((t, 1))
expected.fill(np.nan)
expected[-1] = params[0] + params[1] * self.resid[-1] ** 2
assert_allclose(forecast.forecasts, expected[-1:])
assert forecast.forecast_paths is None
assert forecast.shocks is None
forecast = vol.forecast(params, self.resid, backcast, var_bounds, horizon=5)
assert forecast.forecasts.shape == (1, 5)
assert np.all(np.isfinite(forecast.forecasts))
assert forecast.forecast_paths is None
assert forecast.shocks is None
expected = np.zeros(5)
expected[0] = params[0] + params[1] * self.resid[-1] ** 2
for i in range(1, 5):
expected[i] = params[0] + params[1] * expected[i - 1]
assert_allclose(forecast.forecasts[-1], expected)
forecast = vol.forecast(params, self.resid, backcast, var_bounds, start=0)
assert forecast.forecasts.shape == (1000, 1)
assert np.all(np.isfinite(forecast.forecasts))
assert forecast.forecast_paths is None
assert forecast.shocks is None
expected = params[0] + params[1] * self.resid ** 2
expected.shape = (1000, 1)
assert_allclose(forecast.forecasts, expected)
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, start=0, horizon=3
)
assert forecast.forecasts.shape == (1000, 3)
assert np.all(np.isfinite(forecast.forecasts))
assert forecast.forecast_paths is None
assert forecast.shocks is None
expected = np.zeros((1000, 3))
expected[:, 0] = params[0] + params[1] * self.resid ** 2
for i in range(1, 3):
expected[:, i] = params[0] + params[1] * expected[:, i - 1]
assert_allclose(forecast.forecasts, expected)
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, start=100, horizon=3
)
assert_allclose(forecast.forecasts, expected[100:])
with pytest.raises(ValueError, match="horizon must be an integer >= 1"):
vol.forecast(params, self.resid, backcast, var_bounds, start=0, horizon=0)
def test_arch_1_forecast_simulation(self):
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = GARCH(p=1, o=0, q=0)
params = np.array([10.0, 0.4])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=1,
method="simulation",
rng=rng,
)
assert forecast.forecasts.shape == (1, 1)
assert forecast.forecast_paths.shape == (1, 1000, 1)
assert forecast.shocks.shape == (1, 1000, 1)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(np.isfinite(forecast.forecast_paths))
expected = params[0] + params[1] * self.resid[-1] ** 2.0
assert_allclose(forecast.forecasts[-1], expected)
assert_allclose(forecast.forecast_paths[-1], expected * np.ones((1000, 1)))
assert_allclose(forecast.shocks[-1], np.sqrt(expected) * rng((1000, 1)))
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=5,
method="simulation",
rng=rng,
)
paths = np.zeros((1000, 5))
paths[:, 0] = expected
std_shocks = rng((1000, 5))
shocks = np.zeros((1000, 5))
shocks[:, 0] = np.sqrt(paths[:, 0]) * std_shocks[:, 0]
for i in range(1, 5):
paths[:, i] = params[0] + params[1] * shocks[:, i - 1] ** 2
shocks[:, i] = np.sqrt(paths[:, i]) * std_shocks[:, i]
assert forecast.forecasts.shape == (1, 5)
assert forecast.forecast_paths.shape == (1, 1000, 5)
assert forecast.shocks.shape == (1, 1000, 5)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(np.isfinite(forecast.forecast_paths))
assert np.all(np.isfinite(forecast.shocks))
assert_allclose(forecast.forecasts[-1], paths.mean(0))
assert_allclose(forecast.forecast_paths[-1], paths)
assert_allclose(forecast.shocks[-1], shocks)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=5,
start=100,
method="simulation",
simulations=2000,
rng=rng,
)
paths = np.zeros((1000, 2000, 5))
paths.fill(np.nan)
shocks = np.zeros((1000, 2000, 5))
shocks.fill(np.nan)
for i in range(100, 1000):
std_shocks = rng((2000, 5))
paths[i, :, 0] = params[0] + params[1] * self.resid[i] ** 2.0
shocks[i, :, 0] = np.sqrt(paths[i, :, 0]) * std_shocks[:, 0]
for j in range(1, 5):
paths[i, :, j] = params[0] + params[1] * shocks[i, :, j - 1] ** 2
shocks[i, :, j] = np.sqrt(paths[i, :, j]) * std_shocks[:, j]
assert_allclose(forecast.shocks, shocks[100:])
assert_allclose(forecast.forecast_paths, paths[100:])
assert_allclose(forecast.forecasts, paths[100:].mean(1))
def test_arch_1_forecast_bootstrap(self):
vol = GARCH(p=1, o=0, q=0)
params = np.array([10.0, 0.4])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=5,
method="bootstrap",
random_state=self.rng,
)
sigma2 = np.zeros(1000)
sigma2[0] = params[0] + params[1] * backcast
for i in range(1, 1000):
sigma2[i] = params[0] + params[1] * self.resid[i - 1] ** 2.0
std_resids = self.resid / np.sqrt(sigma2)
locs = np.floor(1000 * self.rng.random_sample((1000, 5))).astype(np.int64)
std_shocks = std_resids[locs]
paths = np.zeros((1000, 5))
paths[:, 0] = params[0] + params[1] * self.resid[-1] ** 2.0
shocks = np.zeros((1000, 5))
shocks[:, 0] = np.sqrt(paths[:, 0]) * std_shocks[:, 0]
for i in range(1, 5):
paths[:, i] = params[0] + params[1] * shocks[:, i - 1] ** 2
shocks[:, i] = np.sqrt(paths[:, i]) * std_shocks[:, i]
assert forecast.forecasts.shape == (1, 5)
assert forecast.forecast_paths.shape == (1, 1000, 5)
assert forecast.shocks.shape == (1, 1000, 5)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(np.isfinite(forecast.forecast_paths))
assert np.all(np.isfinite(forecast.shocks))
assert_allclose(forecast.forecasts[-1], paths.mean(0))
assert_allclose(forecast.forecast_paths[-1], paths)
assert_allclose(forecast.shocks[-1], shocks)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=5,
method="bootstrap",
start=333,
simulations=2000,
random_state=self.rng,
)
paths = np.zeros((1000, 2000, 5))
paths.fill(np.nan)
shocks = np.zeros((1000, 2000, 5))
shocks.fill(np.nan)
for i in range(333, 1000):
locs = self.rng.random_sample((2000, 5))
int_locs = np.floor((i + 1) * locs).astype(np.int64)
std_shocks = std_resids[int_locs]
paths[i, :, 0] = params[0] + params[1] * self.resid[i] ** 2.0
shocks[i, :, 0] = np.sqrt(paths[i, :, 0]) * std_shocks[:, 0]
for j in range(1, 5):
paths[i, :, j] = params[0] + params[1] * shocks[i, :, j - 1] ** 2
shocks[i, :, j] = np.sqrt(paths[i, :, j]) * std_shocks[:, j]
assert_allclose(forecast.forecast_paths, paths[333:])
assert_allclose(forecast.forecasts, paths[333:].mean(1))
assert_allclose(forecast.shocks, shocks[333:])
def test_arch_2_forecast(self):
vol = GARCH(p=2, o=0, q=0)
params = np.array([10.0, 0.4, 0.3])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=10, start=0
)
expected = _simple_direct_gjrgarch_forecaster(
self.resid, params, 2, 0, 0, backcast, var_bounds, 10
)
assert_allclose(forecast.forecasts, expected)
assert forecast.forecast_paths is None
assert forecast.shocks is None
def test_garch_11_forecast(self):
vol = GARCH(p=1, o=0, q=1)
params = np.array([10.0, 0.1, 0.85])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=10, start=0
)
expected = _simple_direct_gjrgarch_forecaster(
self.resid, params, 1, 0, 1, backcast, var_bounds, 10
)
assert_allclose(forecast.forecasts, expected)
assert forecast.forecast_paths is None
assert forecast.shocks is None
def test_gjrgarch_111_forecast(self):
vol = GARCH(p=1, o=1, q=1)
params = np.array([10.0, 0.05, 0.1, 0.85])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=10, start=0
)
expected = _simple_direct_gjrgarch_forecaster(
self.resid, params, 1, 1, 1, backcast, var_bounds, 10
)
assert_allclose(forecast.forecasts, expected)
assert forecast.forecast_paths is None
assert forecast.shocks is None
def test_garch_21_forecast(self):
vol = GARCH(p=2, o=0, q=1)
params = np.array([10.0, 0.05, 0.1, 0.85])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=10, start=0
)
expected = _simple_direct_gjrgarch_forecaster(
self.resid, params, 2, 0, 1, backcast, var_bounds, 10
)
assert_allclose(forecast.forecasts, expected)
assert forecast.forecast_paths is None
assert forecast.shocks is None
def test_garch_12_forecast(self):
vol = GARCH(p=1, o=0, q=2)
params = np.array([10.0, 0.1, 0.55, 0.3])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=10, start=0
)
expected = _simple_direct_gjrgarch_forecaster(
self.resid, params, 1, 0, 2, backcast, var_bounds, 10
)
assert_allclose(forecast.forecasts, expected)
assert forecast.forecast_paths is None
assert forecast.shocks is None
def test_garch_22_forecast(self):
vol = GARCH(p=2, o=0, q=2)
params = np.array([10.0, 0.1, 0.05, 0.4, 0.3])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=10, start=0
)
expected = _simple_direct_gjrgarch_forecaster(
self.resid, params, 2, 0, 2, backcast, var_bounds, 10
)
assert_allclose(forecast.forecasts, expected)
assert forecast.forecast_paths is None
assert forecast.shocks is None
def test_harch_forecast(self):
vol = HARCH(lags=[1, 5, 22])
params = np.array([10.0, 0.4, 0.3, 0.2])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=10, start=0
)
trans_params = np.zeros(23)
trans_params[0] = params[0]
trans_params[1:2] += params[1]
trans_params[1:6] += params[2] / 5
trans_params[1:23] += params[3] / 22
expected = _simple_direct_gjrgarch_forecaster(
self.resid, trans_params, 22, 0, 0, backcast, var_bounds, 10
)
assert_allclose(forecast.forecasts, expected)
assert forecast.forecast_paths is None
assert forecast.shocks is None
def test_tarch_111_forecast(self):
t = self.t
vol = GARCH(p=1, o=1, q=1, power=1.0)
params = np.array([3.0, 0.1, 0.1, 0.80])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid, power=1.0)
forecast = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=1, start=0
)
sigma = np.zeros((t + 1, 1))
sigma[0] = params[0] + (params[1] + 0.5 * params[2] + params[3]) * backcast
resid = self.resid
abs_resid = np.abs(resid)
sresid = resid < 0
for i in range(1, t + 1):
sigma[i] = params[0]
sigma[i] += params[1] * abs_resid[i - 1]
sigma[i] += params[2] * abs_resid[i - 1] * sresid[i - 1]
sigma[i] += params[3] * sigma[i - 1]
expected = sigma[1:] ** 2.0
assert_allclose(forecast.forecasts, expected)
assert forecast.forecast_paths is None
assert forecast.shocks is None
with pytest.raises(ValueError):
vol.forecast(params, self.resid, backcast, var_bounds, horizon=10, start=0)
def test_tarch_111_forecast_simulation(self):
t = self.t
vol = GARCH(p=1, o=1, q=1, power=1.0)
dist = StudentsT(seed=self.rng)
rng = dist.simulate([8.0])
params = np.array([3.0, 0.1, 0.1, 0.80])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids, power=1.0)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=10,
start=0,
rng=rng,
method="simulation",
)
one_step = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=1, start=0
)
paths = np.zeros((1000, 10))
shocks = np.zeros((1000, 10))
for j in range(t):
std_shocks = rng((1000, 10))
paths[:, 0] = one_step.forecasts[j, 0]
shocks[:, 0] = std_shocks[:, 0] * np.sqrt(paths[:, 0])
sqrt_path = np.sqrt(paths[:, 0])
for i in range(1, 10):
abs_err = np.abs(shocks[:, i - 1])
err_neg = shocks[:, i - 1] < 0
sqrt_path = (
params[0]
+ params[1] * abs_err
+ params[2] * abs_err * err_neg
+ params[3] * sqrt_path
)
paths[:, i] = sqrt_path ** 2
shocks[:, i] = sqrt_path * std_shocks[:, i]
assert_allclose(paths.mean(0), forecast.forecasts[j])
assert_allclose(paths, forecast.forecast_paths[j])
assert_allclose(shocks, forecast.shocks[j])
def test_tarch_111_forecast_bootstrap(self):
t = self.t
vol = GARCH(p=1, o=1, q=1, power=1.0)
dist = StudentsT(seed=self.rng)
rng = dist.simulate([8.0])
params = np.array([3.0, 0.1, 0.1, 0.80])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids, power=1.0)
sigma2 = np.zeros(t)
vol.compute_variance(params, resids, sigma2, backcast, var_bounds)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=10,
start=100,
rng=rng,
method="bootstrap",
random_state=self.rng,
)
std_resids = resids / np.sqrt(sigma2)
one_step = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=1, start=100
)
paths = np.zeros((1000, 10))
shocks = np.zeros((1000, 10))
for j in range(100, t):
locs = self.rng.random_sample((1000, 10))
int_locs = np.floor(locs * (j + 1)).astype(np.int_)
std_shocks = std_resids[int_locs]
paths[:, 0] = one_step.forecasts[j - 100, 0]
shocks[:, 0] = std_shocks[:, 0] * np.sqrt(paths[:, 0])
sqrt_path = np.sqrt(paths[:, 0])
for i in range(1, 10):
abs_err = np.abs(shocks[:, i - 1])
err_neg = shocks[:, i - 1] < 0
sqrt_path = (
params[0]
+ params[1] * abs_err
+ params[2] * abs_err * err_neg
+ params[3] * sqrt_path
)
paths[:, i] = sqrt_path ** 2
shocks[:, i] = sqrt_path * std_shocks[:, i]
assert_allclose(shocks, forecast.shocks[j - 100])
assert_allclose(paths.mean(0), forecast.forecasts[j - 100])
assert_allclose(paths, forecast.forecast_paths[j - 100])
with pytest.raises(ValueError):
vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=2,
start=20,
rng=rng,
method="bootstrap",
random_state=self.rng,
)
with pytest.raises(ValueError):
vol.forecast(params, self.resid, backcast, var_bounds, method="unknown")
def test_harch_forecast_simulation(self):
t = self.t
vol = HARCH(lags=[1, 5, 22])
dist = Normal(seed=self.rng)
rng = dist.simulate([])
params = np.array([3.0, 0.4, 0.3, 0.2])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
rng=rng,
method="simulation",
)
resids2 = np.zeros((t, 22 + 10))
resids2.fill(backcast)
for i in range(22):
resids2[21 - i :, i] = resids[: (t - 21 + i)] ** 2.0
paths = np.zeros((t, 1000, 10))
shocks = np.zeros((t, 1000, 10))
const = 3.0
arch = np.zeros(22)
arch[0] = 0.4
arch[:5] += 0.3 / 5
arch[:22] += 0.2 / 22
for i in range(t):
std_shocks = rng((1000, 10))
temp = np.empty((1000, 32))
temp[:, :22] = resids2[i : i + 1, :22]
for j in range(10):
paths[i, :, j] = const + temp[:, j : 22 + j].dot(arch[::-1])
shocks[i, :, j] = std_shocks[:, j] * np.sqrt(paths[i, :, j])
temp[:, 22 + j] = shocks[i, :, j] ** 2.0
forecasts = paths.mean(1)
assert_allclose(forecast.forecasts, forecasts)
assert_allclose(forecast.forecast_paths, paths)
assert_allclose(forecast.shocks, shocks)
def test_harch_forecast_bootstrap(self):
t = self.t
vol = HARCH(lags=[1, 5, 22])
dist = Normal(seed=self.rng)
rng = dist.simulate([])
params = np.array([3.0, 0.4, 0.3, 0.2])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
sigma2 = np.empty_like(resids)
vol.compute_variance(params, resids, sigma2, backcast, var_bounds)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=10,
start=100,
rng=rng,
method="bootstrap",
random_state=self.rng,
)
std_resid = resids / np.sqrt(sigma2)
resids2 = np.zeros((t, 22 + 10))
resids2.fill(backcast)
for i in range(22):
resids2[21 - i :, i] = resids[: (t - 21 + i)] ** 2.0
paths = np.zeros((t, 1000, 10))
paths.fill(np.nan)
shocks = np.zeros((t, 1000, 10))
shocks.fill(np.nan)
const = 3.0
arch = np.zeros(22)
arch[0] = 0.4
arch[:5] += 0.3 / 5
arch[:22] += 0.2 / 22
for i in range(100, t):
locs = self.rng.random_sample((1000, 10))
locs *= i + 1
int_locs = np.floor(locs).astype(np.int64)
std_shocks = std_resid[int_locs]
temp = np.empty((1000, 32))
temp[:, :22] = resids2[i : i + 1, :22]
for j in range(10):
paths[i, :, j] = const + temp[:, j : 22 + j].dot(arch[::-1])
shocks[i, :, j] = std_shocks[:, j] * np.sqrt(paths[i, :, j])
temp[:, 22 + j] = shocks[i, :, j] ** 2.0
forecasts = paths.mean(1)
assert_allclose(forecast.forecasts, forecasts[100:])
assert_allclose(forecast.forecast_paths, paths[100:])
assert_allclose(forecast.shocks, shocks[100:])
def test_egarch_111_forecast(self):
t = self.t
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = EGARCH(p=1, o=1, q=1)
params = np.array([0.0, 0.1, 0.1, 0.95])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=1, start=0
)
_resids = np.array(resids.tolist() + [0])
_sigma2 = np.empty_like(_resids)
_var_bounds = np.array(var_bounds.tolist() + [[0, np.inf]])
vol.compute_variance(params, _resids, _sigma2, backcast, _var_bounds)
sigma2 = _sigma2[:-1]
one_step = _sigma2[1:][:, None]
assert_allclose(forecast.forecasts, one_step)
assert forecast.forecast_paths is None
assert forecast.shocks is None
expected = forecast.forecasts.copy()
expected[:-1] = np.nan
forecast = vol.forecast(params, resids, backcast, var_bounds, horizon=1)
assert_allclose(forecast.forecasts, expected[-1:])
assert forecast.forecast_paths is None
assert forecast.shocks is None
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=5,
start=0,
method="simulation",
rng=rng,
)
paths = np.empty((t, 1000, 5))
shocks = np.empty((t, 1000, 5))
sqrt2pi = np.sqrt(2 / np.pi)
for i in range(t):
std_shocks = rng((1000, 5))
paths[i, :, 0] = np.log(one_step[i])
for j in range(1, 5):
paths[i, :, j] = (
params[0]
+ params[1] * (np.abs(std_shocks[:, j - 1]) - sqrt2pi)
+ params[2] * std_shocks[:, j - 1]
+ params[3] * paths[i, :, j - 1]
)
shocks[i, :, :] = np.exp(paths[i, :, :] / 2) * std_shocks
paths = np.exp(paths)
assert_allclose(forecast.forecasts, paths.mean(1))
assert_allclose(forecast.forecast_paths, paths)
assert_allclose(forecast.shocks, shocks)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=5,
start=100,
method="bootstrap",
random_state=self.rng,
)
std_resids = resids / np.sqrt(sigma2)
paths = np.empty((t, 1000, 5))
paths.fill(np.nan)
shocks = np.empty((t, 1000, 5))
shocks.fill(np.nan)
sqrt2pi = np.sqrt(2 / np.pi)
for i in range(100, t):
locs = self.rng.random_sample((1000, 5))
int_locs = np.floor((i + 1) * locs).astype(np.int64)
std_shocks = std_resids[int_locs]
paths[i, :, 0] = np.log(one_step[i])
for j in range(1, 5):
paths[i, :, j] = (
params[0]
+ params[1] * (np.abs(std_shocks[:, j - 1]) - sqrt2pi)
+ params[2] * std_shocks[:, j - 1]
+ params[3] * paths[i, :, j - 1]
)
shocks[i, :, :] = np.exp(paths[i, :, :] / 2) * std_shocks
paths = np.exp(paths)
assert_allclose(forecast.forecasts, paths[100:].mean(1))
assert_allclose(forecast.forecast_paths, paths[100:])
assert_allclose(forecast.shocks, shocks[100:])
with pytest.raises(ValueError):
vol.forecast(params, resids, backcast, var_bounds, horizon=5)
def test_egarch_101_forecast(self):
t = self.t
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = EGARCH(p=1, o=0, q=1)
params = np.array([0.0, 0.1, 0.95])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=1, start=0
)
_resids = np.array(resids.tolist() + [0])
_sigma2 = np.empty_like(_resids)
_var_bounds = np.array(var_bounds.tolist() + [[0, np.inf]])
vol.compute_variance(params, _resids, _sigma2, backcast, _var_bounds)
sigma2 = _sigma2[:-1]
one_step = _sigma2[1:][:, None]
assert_allclose(forecast.forecasts, one_step)
assert forecast.forecast_paths is None
assert forecast.shocks is None
expected = forecast.forecasts.copy()
expected[:-1] = np.nan
forecast = vol.forecast(params, resids, backcast, var_bounds, horizon=1)
assert_allclose(forecast.forecasts, expected[-1:])
assert forecast.forecast_paths is None
assert forecast.shocks is None
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=5,
start=0,
method="simulation",
rng=rng,
)
paths = np.empty((t, 1000, 5))
shocks = np.empty((t, 1000, 5))
sqrt2pi = np.sqrt(2 / np.pi)
for i in range(t):
std_shocks = rng((1000, 5))
paths[i, :, 0] = np.log(one_step[i])
for j in range(1, 5):
paths[i, :, j] = (
params[0]
+ params[1] * (np.abs(std_shocks[:, j - 1]) - sqrt2pi)
+ params[2] * paths[i, :, j - 1]
)
shocks[i, :, :] = np.exp(paths[i, :, :] / 2) * std_shocks
paths = np.exp(paths)
assert_allclose(forecast.forecasts, paths.mean(1))
assert_allclose(forecast.forecast_paths, paths)
assert_allclose(forecast.shocks, shocks)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=5,
start=100,
method="bootstrap",
random_state=self.rng,
)
std_resids = resids / np.sqrt(sigma2)
paths = np.empty((t, 1000, 5))
paths.fill(np.nan)
shocks = np.empty((t, 1000, 5))
shocks.fill(np.nan)
sqrt2pi = np.sqrt(2 / np.pi)
for i in range(100, t):
locs = self.rng.random_sample((1000, 5))
int_locs = np.floor((i + 1) * locs).astype(np.int64)
std_shocks = std_resids[int_locs]
paths[i, :, 0] = np.log(one_step[i])
for j in range(1, 5):
paths[i, :, j] = (
params[0]
+ params[1] * (np.abs(std_shocks[:, j - 1]) - sqrt2pi)
+ params[2] * paths[i, :, j - 1]
)
shocks[i, :, :] = np.exp(paths[i, :, :] / 2) * std_shocks
paths = np.exp(paths)
assert_allclose(forecast.forecasts, paths[100:].mean(1))
assert_allclose(forecast.forecast_paths, paths[100:])
assert_allclose(forecast.shocks, shocks[100:])
def test_egarch_211_forecast(self):
t = self.t
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = EGARCH(p=2, o=1, q=1)
params = np.array([0.0, 0.15, 0.05, 0.1, 0.95])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=1, start=0
)
_resids = np.array(resids.tolist() + [0])
_sigma2 = np.empty_like(_resids)
_var_bounds = np.array(var_bounds.tolist() + [[0, np.inf]])
vol.compute_variance(params, _resids, _sigma2, backcast, _var_bounds)
one_step = _sigma2[1:][:, None]
assert_allclose(forecast.forecasts, one_step)
assert forecast.forecast_paths is None
assert forecast.shocks is None
expected = forecast.forecasts.copy()
expected[:-1] = np.nan
forecast = vol.forecast(params, resids, backcast, var_bounds, horizon=1)
assert_allclose(forecast.forecasts, expected[-1:])
assert forecast.forecast_paths is None
assert forecast.shocks is None
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=7,
start=433,
method="simulation",
rng=rng,
)
sigma2 = np.empty_like(self.resid)
vol.compute_variance(params, resids, sigma2, backcast, var_bounds)
std_resids = resids / np.sqrt(sigma2)
paths = np.empty((t, 1000, 7))
paths.fill(np.nan)
shocks = np.empty((t, 1000, 7))
shocks.fill(np.nan)
sqrt2pi = np.sqrt(2 / np.pi)
for i in range(433, t):
std_shocks = rng((1000, 7))
paths[i, :, 0] = np.log(one_step[i])
for j in range(1, 7):
lag_1_sym = np.abs(std_shocks[:, j - 1]) - sqrt2pi
if j > 1:
lag_2_sym = np.abs(std_shocks[:, j - 2]) - sqrt2pi
else:
lag_2_sym = np.abs(std_resids[i]) - sqrt2pi
paths[i, :, j] = (
params[0]
+ params[1] * lag_1_sym
+ params[2] * lag_2_sym
+ params[3] * std_shocks[:, j - 1]
+ params[4] * paths[i, :, j - 1]
)
shocks[i, :, :] = np.exp(paths[i, :, :] / 2) * std_shocks
paths = np.exp(paths)
assert_allclose(forecast.forecasts, paths[433:].mean(1))
assert_allclose(forecast.forecast_paths, paths[433:])
assert_allclose(forecast.shocks, shocks[433:])
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=3,
start=731,
method="bootstrap",
simulations=1111,
random_state=self.rng,
)
paths = np.empty((t, 1111, 3))
paths.fill(np.nan)
shocks = np.empty((t, 1111, 3))
shocks.fill(np.nan)
sqrt2pi = np.sqrt(2 / np.pi)
for i in range(731, t):
locs = self.rng.random_sample((1111, 3))
int_locs = np.floor((i + 1) * locs).astype(np.int64)
std_shocks = std_resids[int_locs]
paths[i, :, 0] = np.log(one_step[i])
for j in range(1, 3):
lag_1_sym = np.abs(std_shocks[:, j - 1]) - sqrt2pi
if j > 1:
lag_2_sym = np.abs(std_shocks[:, j - 2]) - sqrt2pi
else:
lag_2_sym = np.abs(std_resids[i]) - sqrt2pi
paths[i, :, j] = (
params[0]
+ params[1] * lag_1_sym
+ params[2] * lag_2_sym
+ params[3] * std_shocks[:, j - 1]
+ params[4] * paths[i, :, j - 1]
)
shocks[i, :, :] = np.exp(paths[i, :, :] / 2) * std_shocks
paths = np.exp(paths)
assert_allclose(forecast.forecasts, paths[731:].mean(1))
assert_allclose(forecast.forecast_paths, paths[731:])
assert_allclose(forecast.shocks, shocks[731:])
def test_egarch_212_forecast_smoke(self):
t = self.t
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = EGARCH(p=2, o=1, q=2)
params = np.array([0.0, 0.15, 0.05, 0.1, 0.55, 0.4])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=1, start=0
)
_resids = np.array(resids.tolist() + [0])
_sigma2 = np.empty_like(_resids)
_var_bounds = np.array(var_bounds.tolist() + [[0, np.inf]])
vol.compute_variance(params, _resids, _sigma2, backcast, _var_bounds)
one_step = _sigma2[1:][:, None]
assert_allclose(forecast.forecasts, one_step)
assert forecast.forecast_paths is None
assert forecast.shocks is None
expected = forecast.forecasts.copy()
expected[:-1] = np.nan
forecast = vol.forecast(params, resids, backcast, var_bounds, horizon=1)
assert_allclose(forecast.forecasts, expected[-1:])
assert forecast.forecast_paths is None
assert forecast.shocks is None
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=7,
start=433,
method="simulation",
rng=rng,
)
sigma2 = np.empty_like(self.resid)
vol.compute_variance(params, resids, sigma2, backcast, var_bounds)
std_resids = resids / np.sqrt(sigma2)
paths = np.empty((t, 1000, 7))
paths.fill(np.nan)
shocks = np.empty((t, 1000, 7))
shocks.fill(np.nan)
sqrt2pi = np.sqrt(2 / np.pi)
for i in range(433, t):
std_shocks = rng((1000, 7))
paths[i, :, 0] = np.log(one_step[i])
for j in range(1, 7):
lag_1_sym = np.abs(std_shocks[:, j - 1]) - sqrt2pi
lag_1_path = paths[i, :, j - 1]
if j > 1:
lag_2_sym = np.abs(std_shocks[:, j - 2]) - sqrt2pi
lag_2_path = paths[i, :, j - 2]
else:
lag_2_sym = np.abs(std_resids[i]) - sqrt2pi
lag_2_path = np.log(sigma2[i])
paths[i, :, j] = (
params[0]
+ params[1] * lag_1_sym
+ params[2] * lag_2_sym
+ params[3] * std_shocks[:, j - 1]
+ params[4] * lag_1_path
+ params[5] * lag_2_path
)
shocks[i, :, :] = np.exp(paths[i, :, :] / 2) * std_shocks
paths = np.exp(paths)
assert_allclose(forecast.forecasts, paths[433:].mean(1))
assert_allclose(forecast.forecast_paths, paths[433:])
assert_allclose(forecast.shocks, shocks[433:])
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=3,
start=731,
method="bootstrap",
simulations=1111,
random_state=self.rng,
)
paths = np.empty((t, 1111, 3))
paths.fill(np.nan)
shocks = np.empty((t, 1111, 3))
shocks.fill(np.nan)
sqrt2pi = np.sqrt(2 / np.pi)
for i in range(731, t):
locs = self.rng.random_sample((1111, 3))
int_locs = np.floor((i + 1) * locs).astype(np.int64)
std_shocks = std_resids[int_locs]
paths[i, :, 0] = np.log(one_step[i])
for j in range(1, 3):
lag_1_sym = np.abs(std_shocks[:, j - 1]) - sqrt2pi
lag_1_path = paths[i, :, j - 1]
if j > 1:
lag_2_sym = np.abs(std_shocks[:, j - 2]) - sqrt2pi
lag_2_path = paths[i, :, j - 2]
else:
lag_2_sym = np.abs(std_resids[i]) - sqrt2pi
lag_2_path = np.log(sigma2[i])
paths[i, :, j] = (
params[0]
+ params[1] * lag_1_sym
+ params[2] * lag_2_sym
+ params[3] * std_shocks[:, j - 1]
+ params[4] * lag_1_path
+ params[5] * lag_2_path
)
shocks[i, :, :] = np.exp(paths[i, :, :] / 2) * std_shocks
paths = np.exp(paths)
assert_allclose(forecast.forecasts, paths[731:].mean(1))
assert_allclose(forecast.forecast_paths, paths[731:])
assert_allclose(forecast.shocks, shocks[731:])
def test_constant_variance_simulation(self):
t = self.t
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = ConstantVariance()
params = np.array([10.0])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=1,
method="simulation",
rng=rng,
)
assert forecast.forecasts.shape == (1, 1)
assert forecast.forecast_paths.shape == (1, 1000, 1)
assert forecast.shocks.shape == (1, 1000, 1)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(forecast.forecasts == params[0])
assert np.all(np.isfinite(forecast.forecast_paths))
assert np.all(forecast.forecast_paths == params[0])
assert np.all(np.isfinite(forecast.shocks))
assert_allclose(forecast.shocks[-1], np.sqrt(params[0]) * rng((1000, 1)))
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=5,
method="simulation",
rng=rng,
)
assert forecast.forecasts.shape == (1, 5)
assert forecast.forecast_paths.shape == (1, 1000, 5)
assert forecast.shocks.shape == (1, 1000, 5)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(forecast.forecasts[-1] == params[0])
assert np.all(np.isfinite(forecast.forecast_paths))
assert np.all(forecast.forecast_paths[-1] == params[0])
assert_allclose(forecast.shocks[-1], np.sqrt(params[0]) * rng((1000, 5)))
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=5,
start=100,
method="simulation",
simulations=2000,
rng=rng,
)
# TODO: This is not correct. Should be (900,5)
assert forecast.forecasts.shape == (900, 5)
assert forecast.forecast_paths.shape == (900, 2000, 5)
assert forecast.shocks.shape == (900, 2000, 5)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(forecast.forecasts == params[0])
assert np.all(np.isfinite(forecast.forecast_paths))
assert np.all(forecast.forecast_paths == params[0])
expected = np.sqrt(params[0]) * rng((t - 100, 2000, 5))
expected = np.concatenate((np.empty((100, 2000, 5)), expected))
assert_allclose(forecast.shocks, expected[100:])
def test_constant_variance_bootstrap(self):
t = self.t
vol = ConstantVariance()
params = np.array([10.0])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=5,
method="bootstrap",
random_state=self.rng,
)
assert forecast.forecasts.shape == (1, 5)
assert forecast.forecast_paths.shape == (1, 1000, 5)
assert forecast.shocks.shape == (1, 1000, 5)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(forecast.forecasts[-1] == params[0])
assert np.all(np.isfinite(forecast.forecast_paths))
assert np.all(forecast.forecast_paths[-1] == params[0])
index = np.floor(self.rng.random_sample((1000, 5)) * t)
index = index.astype(np.int64)
assert_allclose(forecast.shocks[-1], self.resid[index])
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=5,
method="bootstrap",
start=100,
simulations=2000,
random_state=self.rng,
)
assert forecast.forecasts.shape == (900, 5)
assert forecast.forecast_paths.shape == (900, 2000, 5)
assert forecast.shocks.shape == (900, 2000, 5)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(forecast.forecasts == params[0])
assert np.all(np.isfinite(forecast.forecast_paths))
assert np.all(forecast.forecast_paths == params[0])
expected = np.empty((1000, 2000, 5))
expected.fill(np.nan)
for i in range(100, 1000):
index = self.rng.random_sample((2000, 5))
int_index = np.floor((i + 1) * index).astype(np.int64)
expected[i] = self.resid[int_index]
assert_allclose(forecast.shocks, expected[100:])
def test_garch11_simulation(self):
t = self.t
vol = GARCH(p=1, o=0, q=1)
dist = Normal(seed=self.rng)
rng = dist.simulate([])
params = np.array([10.0, 0.1, 0.85])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=10,
method="simulation",
rng=rng,
)
assert forecast.forecasts.shape == (1, 10)
assert forecast.forecast_paths.shape == (1, 1000, 10)
assert forecast.shocks.shape == (1, 1000, 10)
assert np.all(np.isfinite(forecast.forecast_paths))
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(np.isfinite(forecast.shocks))
std_shocks = rng((1000, 10))
one_step = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=1, start=0
)
paths = np.zeros((1000, 10))
shocks = np.zeros((1000, 10))
paths[:, 0] = one_step.forecasts[-1]
shocks[:, 0] = np.sqrt(paths[:, 0]) * std_shocks[:, 0]
for i in range(1, 10):
paths[:, i] = params[0]
paths[:, i] += params[1] * shocks[:, i - 1] ** 2.0
paths[:, i] += params[2] * paths[:, i - 1]
shocks[:, i] = np.sqrt(paths[:, i]) * std_shocks[:, i]
forecasts = paths.mean(0)
assert_allclose(forecast.forecasts[-1], forecasts)
assert_allclose(forecast.forecast_paths[-1], paths)
assert_allclose(forecast.shocks[-1], shocks)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=10,
method="simulation",
simulations=2000,
rng=rng,
)
assert np.all(np.isfinite(forecast.forecast_paths))
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(np.isfinite(forecast.shocks))
assert forecast.forecasts.shape == (1, 10)
assert forecast.forecast_paths.shape == (1, 2000, 10)
assert forecast.shocks.shape == (1, 2000, 10)
std_shocks = rng((2000, 10))
paths = np.zeros((2000, 10))
shocks = np.zeros((2000, 10))
paths[:, 0] = one_step.forecasts[-1]
shocks[:, 0] = np.sqrt(paths[:, 0]) * std_shocks[:, 0]
for i in range(1, 10):
paths[:, i] = params[0]
paths[:, i] += params[1] * shocks[:, i - 1] ** 2.0
paths[:, i] += params[2] * paths[:, i - 1]
shocks[:, i] = np.sqrt(paths[:, i]) * std_shocks[:, i]
forecasts = paths.mean(0)
assert_allclose(forecast.forecasts[-1], forecasts)
assert_allclose(forecast.forecast_paths[-1], paths)
assert_allclose(forecast.shocks[-1], shocks)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=3,
method="simulation",
start=0,
rng=rng,
)
paths = np.zeros((1000, 3))
shocks = np.zeros((1000, 3))
for j in range(t):
std_shocks = rng((1000, 3))
paths[:, 0] = one_step.forecasts[j]
shocks[:, 0] = np.sqrt(paths[:, 0]) * std_shocks[:, 0]
for i in range(1, 3):
paths[:, i] = params[0]
paths[:, i] += params[1] * shocks[:, i - 1] ** 2.0
paths[:, i] += params[2] * paths[:, i - 1]
shocks[:, i] = np.sqrt(paths[:, i]) * std_shocks[:, i]
forecasts = paths.mean(0)
assert_allclose(forecast.forecasts[j], forecasts)
assert_allclose(forecast.forecast_paths[j], paths)
assert_allclose(forecast.shocks[j], shocks)
def test_garch11_bootstrap(self):
t = self.t
vol = GARCH(p=1, o=0, q=1)
params = np.array([10.0, 0.1, 0.85])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=10,
method="bootstrap",
start=100,
random_state=self.rng,
)
paths = np.empty((t, 1000, 10))
paths.fill(np.nan)
shocks = np.empty((t, 1000, 10))
shocks.fill(np.nan)
_sigma2 = np.empty(t + 1)
_resids = np.concatenate((self.resid, [0]))
_var_bounds = np.concatenate((var_bounds, [[0, np.inf]]))
vol.compute_variance(params, _resids, _sigma2, backcast, _var_bounds)
std_resid = self.resid / np.sqrt(_sigma2[:-1])
one_step = _sigma2[1:]
omega, alpha, beta = params
for i in range(100, t):
locs = np.floor((i + 1) * self.rng.random_sample((1000, 10))).astype(
np.int64
)
std_shocks = std_resid[locs]
paths[i, :, 0] = one_step[i]
shocks[i, :, 0] = np.sqrt(paths[i, :, 0]) * std_shocks[:, 0]
for j in range(1, 10):
paths[i, :, j] = (
omega
+ alpha * shocks[i, :, j - 1] ** 2.0
+ beta * paths[i, :, j - 1]
)
shocks[i, :, j] = np.sqrt(paths[i, :, j]) * std_shocks[:, j]
assert_allclose(forecast.forecasts, paths[100:].mean(1))
assert_allclose(forecast.forecast_paths, paths[100:])
assert_allclose(forecast.shocks, shocks[100:])
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=10,
method="bootstrap",
simulations=2000,
start=100,
)
assert forecast.forecasts.shape == (t - 100, 10)
assert forecast.forecast_paths.shape == (t - 100, 2000, 10)
assert forecast.shocks.shape == (t - 100, 2000, 10)
assert np.all(np.isfinite(forecast.forecasts))
assert np.all(np.isfinite(forecast.forecast_paths))
assert np.all(np.isfinite(forecast.shocks))
def test_gjrgarch222_simulation(self):
vol = GARCH(p=2, o=2, q=2)
params = np.array([10.0, 0.05, 0.03, 0.1, 0.05, 0.3, 0.2])
dist = Normal(seed=self.rng)
rng = dist.simulate([])
backcast = vol.backcast(self.resid)
var_bounds = vol.variance_bounds(self.resid)
one_step = vol.forecast(
params, self.resid, backcast, var_bounds, horizon=1, start=0
)
with preserved_state(self.rng):
forecast = vol.forecast(
params,
self.resid,
backcast,
var_bounds,
horizon=3,
method="simulation",
start=0,
rng=rng,
simulations=100,
)
paths = np.zeros((100, 3))
shocks = np.zeros((100, 3))
resids = self.resid
sigma2_0 = (
params[0] + (np.sum(params[1:]) - 0.5 * np.sum(params[3:5])) * backcast
)
_sigma2 = np.concatenate([[backcast], [sigma2_0], one_step.forecasts[:-1, 0]])
_resids = np.concatenate([[np.sqrt(backcast)], resids])
_asymresids = np.concatenate(
([[np.sqrt(0.5 * backcast)], resids * (resids < 0)])
)
for t in range(resids.shape[0]):
std_shocks = rng((100, 3))
j = 0
tau = t + 1 + j + 1
r1, r2 = _resids[tau - 1], _resids[tau - 2]
a1, a2 = _asymresids[tau - 1], _asymresids[tau - 2]
s21, s22 = _sigma2[tau - 1], _sigma2[tau - 2]
fcast = (
params[0]
+ params[1] * r1 ** 2
+ params[2] * r2 ** 2
+ params[3] * a1 ** 2
+ params[4] * a2 ** 2
+ params[5] * s21
+ params[6] * s22
)
paths[:, j] = fcast
shocks[:, j] = std_shocks[:, j] * np.sqrt(fcast)
j = 1
r1, r2 = shocks[:, 0], _resids[tau - 1]
a1, a2 = shocks[:, 0] * (shocks[:, 0] < 0), _asymresids[tau - 1]
s21, s22 = paths[:, 0], _sigma2[tau - 1]
fcast = (
params[0]
+ params[1] * r1 ** 2
+ params[2] * r2 ** 2
+ params[3] * a1 ** 2
+ params[4] * a2 ** 2
+ params[5] * s21
+ params[6] * s22
)
paths[:, j] = fcast
shocks[:, j] = std_shocks[:, j] * np.sqrt(fcast)
j = 2
r1, r2 = shocks[:, 1], shocks[:, 0]
a1, a2 = (
shocks[:, 1] * (shocks[:, 1] < 0),
shocks[:, 0] * (shocks[:, 0] < 0),
)
s21, s22 = paths[:, 1], paths[:, 0]
fcast = (
params[0]
+ params[1] * r1 ** 2
+ params[2] * r2 ** 2
+ params[3] * a1 ** 2
+ params[4] * a2 ** 2
+ params[5] * s21
+ params[6] * s22
)
paths[:, j] = fcast
shocks[:, j] = std_shocks[:, j] * np.sqrt(fcast)
forecasts = paths.mean(0)
assert_allclose(forecast.forecasts[t], forecasts)
assert_allclose(forecast.forecast_paths[t], paths)
assert_allclose(forecast.shocks[t], shocks)
def test_ewma_forecast(self):
t = self.t
vol = EWMAVariance()
params = np.array([])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=10, start=0
)
expected = np.zeros((t + 1))
expected[0] = backcast
lam = 0.94
for i in range(1, t + 1):
expected[i] = lam * expected[i - 1] + (1 - lam) * resids[i - 1] ** 2
for i in range(10):
assert_allclose(forecast.forecasts[:, i], expected[1:])
alt_forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=10, start=500
)
_compare_truncated_forecasts(forecast, alt_forecast, 500)
vol_estim = EWMAVariance(lam=None)
param_estim = np.array([0.94])
forecast_estim = vol_estim.forecast(
param_estim, resids, backcast, var_bounds, horizon=10, start=0
)
for i in range(10):
assert_allclose(forecast.forecasts[:, i], forecast_estim.forecasts[:, i])
def test_ewma_simulation(self):
t = self.t
vol = EWMAVariance()
params = np.array([])
resids = self.resid
dist = Normal(seed=self.rng)
rng = dist.simulate([])
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
with preserved_state(self.rng):
forecasts = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="simulation",
rng=rng,
)
vol_estim = EWMAVariance(lam=None)
param_estim = np.array([0.94])
with preserved_state(self.rng):
forecasts_estim = vol_estim.forecast(
param_estim,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="simulation",
rng=rng,
)
one_step = np.empty(t + 1)
one_step[0] = backcast
for i in range(1, t + 1):
one_step[i] = vol.lam * one_step[i - 1] + (1 - vol.lam) * resids[i - 1] ** 2
one_step = one_step[1:]
paths = np.empty((t, 1000, 10))
shocks = np.empty((t, 1000, 10))
for i in range(t):
std_shocks = rng((1000, 10))
paths[i, :, 0] = one_step[i]
shocks[i, :, 0] = np.sqrt(paths[i, :, 0]) * std_shocks[:, 0]
for j in range(1, 10):
paths[i, :, j] = (
vol.lam * paths[i, :, j - 1]
+ (1 - vol.lam) * shocks[i, :, j - 1] ** 2
)
shocks[i, :, j] = np.sqrt(paths[i, :, j]) * std_shocks[:, j]
assert_allclose(forecasts.forecasts, paths.mean(1))
assert_allclose(forecasts.forecast_paths, paths)
assert_allclose(forecasts.shocks, shocks)
assert_allclose(forecasts_estim.forecasts, paths.mean(1))
assert_allclose(forecasts_estim.forecast_paths, paths)
assert_allclose(forecasts_estim.shocks, shocks)
forecasts = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=252,
method="simulation",
rng=rng,
)
assert forecasts.forecasts.shape == (1000 - 252, 10)
assert forecasts.forecast_paths.shape == (1000 - 252, 1000, 10)
assert forecasts.shocks.shape == (1000 - 252, 1000, 10)
assert np.all(np.isfinite(forecasts.forecasts))
assert np.all(np.isfinite(forecasts.forecast_paths))
assert np.all(np.isfinite(forecasts.shocks))
def test_ewma_bootstrap(self):
t = self.t
vol = EWMAVariance()
params = np.array([])
resids = self.resid
dist = Normal(seed=self.rng)
rng = dist.simulate([])
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
with preserved_state(self.rng):
forecasts = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=131,
method="bootstrap",
rng=rng,
random_state=self.rng,
)
sigma2 = np.empty_like(self.resid)
vol.compute_variance(params, resids, sigma2, backcast, var_bounds)
std_resids = resids / np.sqrt(sigma2)
one_step = np.empty(t + 1)
one_step[0] = backcast
for i in range(1, t + 1):
one_step[i] = vol.lam * one_step[i - 1] + (1 - vol.lam) * resids[i - 1] ** 2
one_step = one_step[1:]
paths = np.empty((t, 1000, 10))
paths.fill(np.nan)
shocks = np.empty((t, 1000, 10))
shocks.fill(np.nan)
for i in range(131, t):
locs = self.rng.random_sample((1000, 10))
int_locs = np.floor(locs * (i + 1)).astype(np.int_)
std_shocks = std_resids[int_locs]
paths[i, :, 0] = one_step[i]
shocks[i, :, 0] = np.sqrt(paths[i, :, 0]) * std_shocks[:, 0]
for j in range(1, 10):
paths[i, :, j] = (
vol.lam * paths[i, :, j - 1]
+ (1 - vol.lam) * shocks[i, :, j - 1] ** 2
)
shocks[i, :, j] = np.sqrt(paths[i, :, j]) * std_shocks[:, j]
assert_allclose(forecasts.shocks, shocks[131:])
assert_allclose(forecasts.forecasts, paths[131:].mean(1))
assert_allclose(forecasts.forecast_paths, paths[131:])
forecasts = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=252,
method="simulation",
rng=rng,
random_state=self.rng,
)
assert forecasts.forecasts.shape == (1000 - 252, 10)
assert forecasts.forecast_paths.shape == (1000 - 252, 1000, 10)
assert forecasts.shocks.shape == (1000 - 252, 1000, 10)
assert np.all(np.isfinite(forecasts.forecasts))
assert np.all(np.isfinite(forecasts.forecast_paths))
assert np.all(np.isfinite(forecasts.shocks))
def test_rm2006_forecast(self):
vol = RiskMetrics2006()
params = np.array([])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
forecasts = vol.forecast(
params, resids, backcast, var_bounds, horizon=10, start=0
)
_resids = np.array(resids.tolist() + [0])
_sigma2 = np.empty_like(_resids)
_var_bounds = np.array(var_bounds.tolist() + [[0, np.inf]])
vol.compute_variance(params, _resids, _sigma2, backcast, _var_bounds)
assert forecasts.forecast_paths is None
assert forecasts.shocks is None
one_step = _sigma2[1:]
for i in range(10):
assert_allclose(forecasts.forecasts[:, i], one_step, rtol=1e-4)
alt_forecasts = vol.forecast(
params, resids, backcast, var_bounds, horizon=10, start=500
)
_compare_truncated_forecasts(forecasts, alt_forecasts, 500)
def test_rm2006_simulation_smoke(self):
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = RiskMetrics2006()
params = np.array([])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
with preserved_state(self.rng):
vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="simulation",
rng=rng,
)
def test_rm2006_bootstrap_smoke(self):
vol = RiskMetrics2006()
params = np.array([])
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
with preserved_state(self.rng):
vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=100,
method="bootstrap",
)
def test_aparch_one_step(self):
vol = APARCH()
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
params = np.array([0.1, 0.1, -0.5, 0.8, 1.5])
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=1, start=0
)
sigma2 = np.empty_like(resids)
vol.compute_variance(params, resids, sigma2, backcast, var_bounds)
assert_allclose(sigma2[1:], forecast.forecasts[:-1, 0])
delta = params[-1]
final = params[0]
final += params[1] * ((np.abs(resids[-1]) - params[2] * resids[-1]) ** delta)
final += params[3] * (sigma2[-1] ** (delta / 2.0))
final **= 2.0 / delta
assert_allclose(final, forecast.forecasts[-1, 0])
delta = 2.0
vol = APARCH(delta=delta)
params = np.array([0.1, 0.1, -0.5, 0.8])
sigma2 = np.empty_like(resids)
vol.compute_variance(params, resids, sigma2, backcast, var_bounds)
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=1, start=0
)
assert_allclose(sigma2[1:], forecast.forecasts[:-1, 0])
final = params[0]
final += params[1] * ((np.abs(resids[-1]) - params[2] * resids[-1]) ** delta)
final += params[3] * (sigma2[-1] ** (delta / 2.0))
final **= 2.0 / delta
assert_allclose(final, forecast.forecasts[-1, 0])
@pytest.mark.parametrize("o", [0, 1])
@pytest.mark.parametrize("delta", [None, 1.5])
def test_aparch_simulation_smoke(self, o, delta):
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = APARCH(o=o, delta=delta)
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
params = np.array([0.1, 0.1, -0.5, 0.8])
if o == 0:
params = np.array([0.1, 0.1, 0.8])
if delta is None:
params = np.r_[params, 1.5]
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="simulation",
rng=rng,
simulations=100,
)
sigma2 = np.empty_like(resids)
vol.compute_variance(params, resids, sigma2, backcast, var_bounds)
assert_allclose(sigma2[1:], forecast.forecasts[:-1, 0])
delta = 1.5 if delta is None else delta
final = params[0]
gamma = 0.0 if o == 0 else params[2]
final += params[1] * ((np.abs(resids[-1]) - gamma * resids[-1]) ** delta)
beta = params[2 + int(o > 0)]
final += beta * (sigma2[-1] ** (delta / 2.0))
final **= 2.0 / delta
assert_allclose(final, forecast.forecasts[-1, 0])
with pytest.raises(ValueError, match="Analytic forecasts not"):
vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="analytic",
)
def test_midas_analytical(self):
vol = MIDASHyperbolic()
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
params = np.array([0.1, 0.9, 0.4])
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=10, start=0
)
weights = vol._weights(params)
arch_params = np.r_[params[0], params[1] * weights]
expected = _simple_direct_gjrgarch_forecaster(
resids, arch_params, 22, 0, 0, backcast, var_bounds, 10
)
assert_allclose(forecast.forecasts, expected)
def test_midas_asym_analytical(self):
vol = MIDASHyperbolic(asym=True)
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
params = np.array([0.1, 0.3, 1.0, 0.4])
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=10, start=0
)
weights = vol._weights(params)
arch_params = np.r_[params[0], params[1] * weights, params[2] * weights]
expected = _simple_direct_gjrgarch_forecaster(
resids, arch_params, 22, 22, 0, backcast, var_bounds, 10
)
assert_allclose(forecast.forecasts, expected)
def test_midas_simulation(self):
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = MIDASHyperbolic()
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
params = np.array([0.1, 0.9, 0.4])
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="simulation",
rng=rng,
)
weights = vol._weights(params)
arch = GARCH(p=22, o=0, q=0)
arch_params = np.r_[params[0], params[1] * weights]
with preserved_state(self.rng):
arch_forecast = arch.forecast(
arch_params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="simulation",
rng=rng,
)
assert_allclose(forecast.forecasts, arch_forecast.forecasts)
assert_allclose(forecast.forecast_paths, arch_forecast.forecast_paths)
assert_allclose(forecast.shocks, arch_forecast.shocks)
def test_figarch_analytical(self):
vol = FIGARCH(truncation=50)
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
params = np.array([0.1, 0.2, 0.4, 0.2])
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=10, start=0
)
lam = figarch_weights(params[1:], 1, 1, vol.truncation)
arch_params = np.r_[params[0] / (1 - params[-1]), lam]
expected = _simple_direct_gjrgarch_forecaster(
resids, arch_params, 50, 0, 0, backcast, var_bounds, 10
)
assert_allclose(forecast.forecasts, expected)
forecast = vol.forecast(
params, resids, backcast, var_bounds, horizon=1, start=0
)
assert forecast.forecasts.shape[1] == 1
vol = FIGARCH(truncation=50, power=1.0)
with pytest.raises(ValueError):
vol.forecast(
params, resids, backcast, var_bounds, horizon=2, method="analytic"
)
def test_figarch_simulation(self):
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = FIGARCH(truncation=51)
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
params = np.array([0.1, 0.2, 0.4, 0.2])
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="simulation",
rng=rng,
)
lam = figarch_weights(params[1:], 1, 1, vol.truncation)
arch = GARCH(p=vol.truncation, o=0, q=0)
arch_params = np.r_[params[0] / (1 - params[-1]), lam]
with preserved_state(self.rng):
arch_forecast = arch.forecast(
arch_params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="simulation",
rng=rng,
)
assert_allclose(forecast.forecasts, arch_forecast.forecasts)
assert_allclose(forecast.forecast_paths, arch_forecast.forecast_paths)
assert_allclose(forecast.shocks, arch_forecast.shocks)
def test_midas_asym_simulation(self):
dist = Normal(seed=self.rng)
rng = dist.simulate([])
vol = MIDASHyperbolic(asym=True)
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
params = np.array([0.1, 0.3, 1.0, 0.4])
with preserved_state(self.rng):
forecast = vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="simulation",
rng=rng,
)
weights = vol._weights(params)
arch = GARCH(p=22, o=22, q=0)
arch_params = np.r_[params[0], params[1] * weights, params[2] * weights]
with preserved_state(self.rng):
arch_forecast = arch.forecast(
arch_params,
resids,
backcast,
var_bounds,
horizon=10,
start=0,
method="simulation",
rng=rng,
)
assert_allclose(forecast.forecasts, arch_forecast.forecasts)
assert_allclose(forecast.forecast_paths, arch_forecast.forecast_paths)
assert_allclose(forecast.shocks, arch_forecast.shocks)
def test_midas_bootstrap_smoke(self):
# Note strictly needed if simulation passes since just a special case
vol = MIDASHyperbolic()
resids = self.resid
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
params = np.array([0.1, 0.9, 0.4])
vol.forecast(
params,
resids,
backcast,
var_bounds,
horizon=10,
start=100,
method="bootstrap",
)
def test_fixed_variance(self):
parameters = np.array([1.0])
resids = self.resid
variance = np.arange(resids.shape[0]) + 1.0
vol = FixedVariance(variance)
vol.start = 0
vol.stop = 1000
backcast = vol.backcast(resids)
var_bounds = vol.variance_bounds(resids)
forecasts = vol.forecast(parameters, resids, backcast, var_bounds, horizon=1)
assert np.all(np.isnan(forecasts.forecasts))
assert forecasts.forecast_paths is None
assert forecasts.shocks is None
forecasts = vol.forecast(parameters, resids, backcast, var_bounds, horizon=7)
assert np.all(np.isnan(forecasts.forecasts))
assert forecasts.forecast_paths is None
assert forecasts.shocks is None
dist = Normal(seed=self.rng)
rng = dist.simulate([])
forecasts = vol.forecast(
parameters,
resids,
backcast,
var_bounds,
333,
horizon=4,
method="simulation",
simulations=100,
rng=rng,
)
assert np.all(np.isnan(forecasts.forecasts))
assert np.all(np.isnan(forecasts.forecast_paths))
assert np.all(np.isnan(forecasts.shocks))
forecasts = vol.forecast(
parameters, resids, backcast, var_bounds, 100, 2, "bootstrap", 500
)
assert np.all(np.isnan(forecasts.forecasts))
assert np.all(np.isnan(forecasts.forecast_paths))
assert np.all(np.isnan(forecasts.shocks))
class TestBootstrapRng(object):
@classmethod
def setup_class(cls):
cls.rng = RandomState(12345)
def test_bs_rng(self):
y = self.rng.random_sample(1000)
bs_rng = BootstrapRng(y, 100, random_state=self.rng)
rng = bs_rng.rng()
size = (1231, 13)
with preserved_state(self.rng):
output = {i: rng(size) for i in range(100, 1000)}
expected = {}
for i in range(100, 1000):
locs = self.rng.random_sample(size)
expected[i] = y[np.floor(locs * (i + 1)).astype(np.int64)]
for i in range(100, 1000):
assert_allclose(expected[i], output[i])
def test_bs_rng_errors(self):
y = self.rng.random_sample(1000)
bs_rng = BootstrapRng(y, 100)
rng = bs_rng.rng()
with pytest.raises(IndexError):
for _ in range(100, 1001):
rng(1)
y = self.rng.random_sample(1000)
with pytest.raises(ValueError):
BootstrapRng(y, 0)
def test_bootstrap_rng(self):
resid = np.arange(1000.0)
rs = np.random.RandomState(1)
state = rs.get_state()
bs_rng = BootstrapRng(resid, start=100, random_state=rs)
rng = bs_rng.rng()
sim = rng(10000)
assert np.max(sim) <= 100.5
assert sim.shape == (10000,)
rs.set_state(state)
bs_rs = bs_rng.random_state
assert bs_rs is rs
with pytest.raises(TypeError):
BootstrapRng(resid, start=100, random_state=1234)
def test_external_rng():
arch_mod = arch_model(None, mean="Constant", vol="GARCH", p=1, q=1)
data = arch_mod.simulate(np.array([0.1, 0.1, 0.1, 0.88]), 1000)
data.index = pd.date_range("2000-01-01", periods=data.index.shape[0])
rand_state = np.random.RandomState(1)
state = rand_state.get_state()
volatility = GARCH(1, 0, 1)
distribution = Normal(seed=rand_state)
mod = ConstantMean(data.data, volatility=volatility, distribution=distribution)
res = mod.fit(disp="off")
rand_state.set_state(state)
fcast_1 = res.forecast(
res.params,
horizon=5,
method="simulation",
start=900,
simulations=250,
reindex=False,
)
rand_state.set_state(state)
rng = rand_state.standard_normal
fcast_2 = res.forecast(
res.params,
horizon=5,
method="simulation",
start=900,
simulations=250,
rng=rng,
reindex=False,
)
assert_allclose(fcast_1.residual_variance, fcast_2.residual_variance)
| 36.445087
| 93
| 0.528872
| 9,723
| 81,965
| 4.338681
| 0.032706
| 0.037336
| 0.048761
| 0.048358
| 0.874197
| 0.851013
| 0.816997
| 0.79872
| 0.777765
| 0.764964
| 0
| 0.05424
| 0.345672
| 81,965
| 2,248
| 94
| 36.461299
| 0.732324
| 0.005795
| 0
| 0.74331
| 0
| 0
| 0.007125
| 0
| 0
| 0
| 0
| 0.000445
| 0.146184
| 1
| 0.025768
| false
| 0
| 0.007433
| 0
| 0.035679
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
222c9d7cc3c6bf9ac2989e06b02c2660380e96f2
| 20,008
|
py
|
Python
|
tests/api/test_location.py
|
owenhw/fsf_api_access_python
|
7ded0b933bcb54cda1ee9c4f05e7b691516e3a66
|
[
"MIT"
] | 15
|
2020-06-29T18:54:43.000Z
|
2022-02-15T23:27:49.000Z
|
tests/api/test_location.py
|
owenhw/fsf_api_access_python
|
7ded0b933bcb54cda1ee9c4f05e7b691516e3a66
|
[
"MIT"
] | 57
|
2020-07-08T14:49:20.000Z
|
2022-02-14T20:55:10.000Z
|
tests/api/test_location.py
|
owenhw/fsf_api_access_python
|
7ded0b933bcb54cda1ee9c4f05e7b691516e3a66
|
[
"MIT"
] | 7
|
2020-09-04T18:21:29.000Z
|
2021-05-14T07:28:35.000Z
|
# Author: Kelvin Lai <kelvin@firststreet.org>
# Copyright: This module is owned by First Street Foundation
# Standard Imports
import os
# External Imports
import pytest
# Internal Imports
import firststreet
from firststreet.errors import InvalidArgument
api_key = os.environ['FSF_API_KEY']
fs = firststreet.FirstStreet(api_key)
class TestLocationDetail:
def test_empty(self):
with pytest.raises(InvalidArgument):
fs.location.get_detail([], "")
def test_empty_fsid(self):
with pytest.raises(InvalidArgument):
fs.location.get_detail([], "property")
def test_empty_type(self):
with pytest.raises(InvalidArgument):
fs.location.get_detail([190836953], "")
def test_wrong_fsid_type(self):
with pytest.raises(InvalidArgument):
fs.location.get_detail(190836953, "property")
def test_wrong_fsid_number(self):
fsid = [1867176]
location = fs.location.get_detail(fsid, "property")
assert len(location) == 1
assert location[0].fsid == str(fsid[0])
assert location[0].state is None
assert location[0].valid_id is False
def test_incorrect_lookup_type(self, tmpdir):
fsid = [190836953]
location = fs.location.get_detail(fsid, "city", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].fsid == str(fsid[0])
assert location[0].name is None
assert location[0].valid_id is False
def test_wrong_location_type(self):
with pytest.raises(TypeError):
fs.location.get_detail([190836953], 190)
def test_single(self):
fsid = [190836953]
location = fs.location.get_detail(fsid, "property")
assert len(location) == 1
assert location[0].fsid == str(fsid[0])
assert location[0].state is not None
assert location[0].valid_id is True
def test_multiple(self):
fsid = [190836953, 193139123]
location = fs.location.get_detail(fsid, "property")
assert len(location) == 2
location.sort(key=lambda x: x.fsid)
assert location[0].fsid == str(fsid[0])
assert location[1].fsid == str(fsid[1])
assert location[0].state is not None
assert location[1].state is not None
assert location[0].valid_id is True
assert location[1].valid_id is True
def test_single_csv(self, tmpdir):
fsid = [190836953]
location = fs.location.get_detail(fsid, "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].fsid == str(fsid[0])
assert location[0].state is not None
assert location[0].valid_id is True
def test_multiple_csv(self, tmpdir):
fsid = [190836953, 193139123]
location = fs.location.get_detail(fsid, "property", csv=True, output_dir=tmpdir)
assert len(location) == 2
location.sort(key=lambda x: x.fsid)
assert location[0].fsid == str(fsid[0])
assert location[1].fsid == str(fsid[1])
assert location[0].state is not None
assert location[1].state is not None
assert location[0].valid_id is True
assert location[1].valid_id is True
def test_mixed_invalid(self):
fsid = [190836953, 000000000]
location = fs.location.get_detail(fsid, "property")
assert len(location) == 2
location.sort(key=lambda x: x.fsid, reverse=True)
assert location[0].fsid == str(fsid[0])
assert location[1].fsid == str(fsid[1])
assert location[0].state is not None
assert location[1].state is None
assert location[0].valid_id is True
assert location[1].valid_id is False
def test_mixed_invalid_csv(self, tmpdir):
fsid = [190836953, 000000000]
location = fs.location.get_detail(fsid, "property", csv=True, output_dir=tmpdir)
assert len(location) == 2
location.sort(key=lambda x: x.fsid, reverse=True)
assert location[0].fsid == str(fsid[0])
assert location[1].fsid == str(fsid[1])
assert location[0].state is not None
assert location[1].state is None
assert location[0].valid_id is True
assert location[1].valid_id is False
def test_coordinate_invalid(self, tmpdir):
location = fs.location.get_detail([(82.487671, -62.374322)], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].state is None
assert location[0].valid_id is False
def test_single_coordinate(self, tmpdir):
location = fs.location.get_detail([(40.7079652311, -74.0021455387)], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].state is not None
assert location[0].valid_id is True
def test_address_invalid_404(self, tmpdir):
location = fs.location.get_detail(["Shimik, Nunavut, Canada"], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].state is None
assert location[0].valid_id is False
def test_address_invalid_500(self, tmpdir):
location = fs.location.get_detail(["Toronto, Ontario, Canada"], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].state is None
assert location[0].valid_id is False
def test_single_address(self, tmpdir):
location = fs.location.get_detail(["247 Water St, New York, New York"], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].state is not None
assert location[0].valid_id is True
def test_one_of_each(self, tmpdir):
location = fs.location.get_detail([395112095], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "395112095"
assert location[0].streetNumber is not None
assert location[0].route is not None
assert location[0].city is not None
assert location[0].zipCode is not None
assert location[0].zcta is not None
assert location[0].neighborhood is not None
assert location[0].tract is not None
assert location[0].county is not None
assert location[0].cd is not None
assert location[0].state is not None
assert location[0].footprintId is not None
assert location[0].elevation is None
assert location[0].fema is not None
assert location[0].geometry is not None
location = fs.location.get_detail([1206631], "neighborhood", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "1206631"
assert location[0].city is not None
assert location[0].name is not None
assert location[0].subtype is not None
assert location[0].county is not None
assert location[0].state is not None
assert location[0].geometry is not None
location = fs.location.get_detail([3915406], "city", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "3915406"
assert location[0].name is not None
assert location[0].lsad is not None
assert location[0].zcta is not None
assert location[0].neighborhood is not None
assert location[0].county is not None
assert location[0].state is not None
assert location[0].geometry is not None
location = fs.location.get_detail([44654], "zcta", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "44654"
assert location[0].name is not None
assert location[0].county is not None
assert location[0].city is not None
assert location[0].state is not None
assert location[0].geometry is not None
location = fs.location.get_detail([39151712602], "tract", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fips == "39151712602"
assert location[0].county is not None
assert location[0].state is not None
assert location[0].geometry is not None
location = fs.location.get_detail([39077], "county", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "39077"
assert location[0].fips is not None
assert location[0].name is not None
assert location[0].isCoastal is not None
assert location[0].city is not None
assert location[0].zcta is not None
assert location[0].cd is not None
assert location[0].state is not None
assert location[0].geometry is not None
location = fs.location.get_detail([3904], "cd", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "3904"
assert location[0].district is not None
assert location[0].congress is not None
assert location[0].county is not None
assert location[0].state is not None
assert location[0].geometry is not None
location = fs.location.get_detail([39], "state", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "39"
assert location[0].name is not None
assert location[0].fips is not None
assert location[0].geometry is not None
class TestLocationSummary:
def test_empty(self):
with pytest.raises(InvalidArgument):
fs.location.get_summary([], "")
def test_empty_fsid(self):
with pytest.raises(InvalidArgument):
fs.location.get_summary([], "property")
def test_empty_type(self):
with pytest.raises(InvalidArgument):
fs.location.get_summary([190836953], "")
def test_wrong_fsid_type(self):
with pytest.raises(InvalidArgument):
fs.location.get_summary(190836953, "property")
def test_wrong_fsid_number(self):
fsid = [1867176]
location = fs.location.get_summary(fsid, "property")
assert len(location) == 1
assert location[0].fsid == str(fsid[0])
assert location[0].adaptation is None
assert location[0].valid_id is False
def test_incorrect_lookup_type(self, tmpdir):
fsid = [190836953]
location = fs.location.get_summary(fsid, "city", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].fsid == str(fsid[0])
assert location[0].adaptation is None
assert location[0].valid_id is False
def test_wrong_location_type(self):
with pytest.raises(TypeError):
fs.location.get_summary([190836953], 190)
def test_single(self):
fsid = [190836953]
location = fs.location.get_summary(fsid, "property")
assert len(location) == 1
assert location[0].fsid == str(fsid[0])
assert location[0].adaptation is not None
assert location[0].valid_id is True
def test_multiple(self):
fsid = [190836953, 193139123]
location = fs.location.get_summary(fsid, "property")
assert len(location) == 2
location.sort(key=lambda x: x.fsid)
assert location[0].fsid == str(fsid[0])
assert location[1].fsid == str(fsid[1])
assert location[0].adaptation is not None
assert location[1].adaptation is not None
assert location[0].valid_id is True
assert location[1].valid_id is True
def test_single_csv(self, tmpdir):
fsid = [190836953]
location = fs.location.get_summary(fsid, "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].fsid == str(fsid[0])
assert location[0].adaptation is not None
assert location[0].valid_id is True
def test_multiple_csv(self, tmpdir):
fsid = [190836953, 193139123]
location = fs.location.get_summary(fsid, "property", csv=True, output_dir=tmpdir)
assert len(location) == 2
location.sort(key=lambda x: x.fsid)
assert location[0].fsid == str(fsid[0])
assert location[1].fsid == str(fsid[1])
assert location[0].adaptation is not None
assert location[1].adaptation is not None
assert location[0].valid_id is True
assert location[1].valid_id is True
def test_mixed_invalid(self):
fsid = [190836953, 000000000]
location = fs.location.get_summary(fsid, "property")
assert len(location) == 2
location.sort(key=lambda x: x.fsid, reverse=True)
assert location[0].fsid == str(fsid[0])
assert location[1].fsid == str(fsid[1])
assert location[0].adaptation is not None
assert location[1].adaptation is None
assert location[0].valid_id is True
assert location[1].valid_id is False
def test_mixed_invalid_csv(self, tmpdir):
fsid = [190836953, 000000000]
location = fs.location.get_summary(fsid, "property", csv=True, output_dir=tmpdir)
assert len(location) == 2
location.sort(key=lambda x: x.fsid, reverse=True)
assert location[0].fsid == str(fsid[0])
assert location[1].fsid == str(fsid[1])
assert location[0].adaptation is not None
assert location[1].adaptation is None
assert location[0].valid_id is True
assert location[1].valid_id is False
def test_coordinate_invalid(self, tmpdir):
location = fs.location.get_summary([(82.487671, -62.374322)], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].adaptation is None
assert location[0].valid_id is False
def test_single_coordinate(self, tmpdir):
location = fs.location.get_summary([(40.7079652311, -74.0021455387)], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].adaptation is not None
assert location[0].valid_id is True
def test_address_invalid_404(self, tmpdir):
location = fs.location.get_summary(["Shimik, Nunavut, Canada"], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].adaptation is None
assert location[0].valid_id is False
def test_address_invalid_500(self, tmpdir):
location = fs.location.get_summary(["Toronto, Ontario, Canada"], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].adaptation is None
assert location[0].valid_id is False
def test_single_address(self, tmpdir):
location = fs.location.get_summary(["247 Water St, New York, New York"], "property",
csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].adaptation is not None
assert location[0].valid_id is True
def test_one_of_each(self, tmpdir):
location = fs.location.get_summary([395112095], "property", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "395112095"
assert location[0].floodFactor is not None
assert location[0].riskDirection is not None
assert location[0].historic is not None
assert location[0].environmentalRisk is not None
assert location[0].adaptation is not None
location = fs.location.get_summary([631054], "neighborhood", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "631054"
assert location[0].riskDirection is not None
assert location[0].historic is not None
assert location[0].environmentalRisk is not None
assert location[0].adaptation is not None
assert location[0].properties is not None
assert location[0].properties.get("total") is not None
assert location[0].properties.get("atRisk") is not None
location = fs.location.get_summary([3958002], "city", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "3958002"
assert location[0].riskDirection is not None
assert location[0].historic is not None
assert location[0].environmentalRisk is not None
assert location[0].adaptation is not None
assert location[0].properties is not None
assert location[0].properties.get("total") is not None
assert location[0].properties.get("atRisk") is not None
location = fs.location.get_summary([43935], "zcta", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "43935"
assert location[0].riskDirection is not None
assert location[0].historic is not None
assert location[0].environmentalRisk is not None
assert location[0].adaptation is not None
assert location[0].properties is not None
assert location[0].properties.get("total") is not None
assert location[0].properties.get("atRisk") is not None
location = fs.location.get_summary([39153531702], "tract", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "39153531702"
assert location[0].riskDirection is not None
assert location[0].historic is not None
assert location[0].environmentalRisk is not None
assert location[0].adaptation is not None
assert location[0].properties is not None
assert location[0].properties.get("total") is not None
assert location[0].properties.get("atRisk") is not None
location = fs.location.get_summary([39027], "county", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "39027"
assert location[0].riskDirection is not None
assert location[0].historic is not None
assert location[0].environmentalRisk is not None
assert location[0].adaptation is not None
assert location[0].properties is not None
assert location[0].properties.get("total") is not None
assert location[0].properties.get("atRisk") is not None
location = fs.location.get_summary([3903], "cd", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "3903"
assert location[0].riskDirection is not None
assert location[0].historic is not None
assert location[0].environmentalRisk is not None
assert location[0].adaptation is not None
assert location[0].properties is not None
assert location[0].properties.get("total") is not None
assert location[0].properties.get("atRisk") is not None
location = fs.location.get_summary([39], "state", csv=True, output_dir=tmpdir)
assert len(location) == 1
assert location[0].valid_id is True
assert location[0].fsid == "39"
assert location[0].riskDirection is not None
assert location[0].historic is not None
assert location[0].environmentalRisk is not None
assert location[0].adaptation is not None
assert location[0].properties is not None
assert location[0].properties.get("total") is not None
assert location[0].properties.get("atRisk") is not None
| 43.877193
| 120
| 0.65124
| 2,712
| 20,008
| 4.721239
| 0.054204
| 0.250391
| 0.240159
| 0.17065
| 0.954545
| 0.951578
| 0.945251
| 0.93916
| 0.936973
| 0.934942
| 0
| 0.05705
| 0.243952
| 20,008
| 455
| 121
| 43.973626
| 0.789383
| 0.007647
| 0
| 0.819307
| 0
| 0
| 0.033704
| 0
| 0
| 0
| 0
| 0
| 0.670792
| 1
| 0.094059
| false
| 0
| 0.009901
| 0
| 0.108911
| 0.002475
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
222d53bed272b83cb32acd18ddd3ec92682d029c
| 2,942
|
py
|
Python
|
onener/transformer/models/utils.py
|
sansan-inc/OneNER
|
4e13ff7a1a990dcbf3c7b7fb1945aacdfa30abe3
|
[
"Apache-2.0"
] | 2
|
2021-10-11T05:30:44.000Z
|
2021-12-16T07:46:28.000Z
|
onener/transformer/models/utils.py
|
sansan-inc/OneNER
|
4e13ff7a1a990dcbf3c7b7fb1945aacdfa30abe3
|
[
"Apache-2.0"
] | null | null | null |
onener/transformer/models/utils.py
|
sansan-inc/OneNER
|
4e13ff7a1a990dcbf3c7b7fb1945aacdfa30abe3
|
[
"Apache-2.0"
] | null | null | null |
import torch
from typing import Tuple, Optional
def valid_sequence_output(sequence_output: torch.Tensor,
valid_mask: torch.Tensor,
attention_mask: torch.Tensor,
labels: Optional[torch.Tensor] = None,
) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]:
"""
"給", "食"のような"食"の部分を無視して詰めてしまう関数
もともと、"給食"のような1単語のもの(教師ラベルも1つ)をAutoTokenizerで、"給"と"食"にしたため、
"給食"の代表として、"給"のベクトルを使って、学習するため
"""
batch_size, max_len, feat_dim = sequence_output.shape
valid_output = torch.zeros(batch_size, max_len, feat_dim, dtype=torch.float32,
device='cuda' if torch.cuda.is_available() else 'cpu')
valid_attention_mask = torch.zeros(batch_size, max_len, dtype=torch.long,
device='cuda' if torch.cuda.is_available() else 'cpu')
if labels is not None:
valid_labels = torch.zeros(batch_size, max_len, dtype=torch.long,
device='cuda' if torch.cuda.is_available() else 'cpu')
else:
valid_labels = None
for i in range(batch_size):
jj = -1
for j in range(max_len):
if valid_mask[i][j].item() == 1:
jj += 1
valid_output[i][jj] = sequence_output[i][j]
valid_attention_mask[i][jj] = attention_mask[i][j]
if labels is not None:
valid_labels[i][jj] = labels[i][j]
return valid_output, valid_labels, valid_attention_mask
def remove_special_output(sequence_output: torch.Tensor,
attention_mask: torch.Tensor,
labels: torch.Tensor = None
) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]:
"""
[CLS], [SEP]の部分を無視して詰めてしまう関数
"""
batch_size, max_len, feat_dim = sequence_output.shape
valid_output = torch.zeros(batch_size, max_len, feat_dim, dtype=torch.float32,
device='cuda' if torch.cuda.is_available() else 'cpu')
valid_attention_mask = torch.zeros(batch_size, max_len, dtype=torch.long,
device='cuda' if torch.cuda.is_available() else 'cpu')
if labels is not None:
valid_labels = torch.zeros(batch_size, max_len, dtype=torch.long,
device='cuda' if torch.cuda.is_available() else 'cpu')
else:
valid_labels = None
for i in range(batch_size):
jj = -1
real_seq_len = torch.sum(attention_mask[i], dim=-1) - 2
for j in range(1, real_seq_len+1):
jj += 1
valid_output[i][jj] = sequence_output[i][j]
valid_attention_mask[i][jj] = attention_mask[i][j]
if labels is not None:
valid_labels[i][jj] = labels[i][j]
return valid_output, valid_labels, valid_attention_mask
| 41.43662
| 93
| 0.574779
| 369
| 2,942
| 4.376694
| 0.176152
| 0.088545
| 0.059443
| 0.074303
| 0.81548
| 0.783901
| 0.783901
| 0.733127
| 0.733127
| 0.733127
| 0
| 0.007474
| 0.317811
| 2,942
| 70
| 94
| 42.028571
| 0.79721
| 0.050986
| 0
| 0.784314
| 0
| 0
| 0.015256
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.039216
| false
| 0
| 0.039216
| 0
| 0.117647
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
223b164cd68b7e11e21bc1d5377e43ae747ce144
| 38
|
py
|
Python
|
easy_gene/__init__.py
|
thomsn/easy_gen
|
722d5d65db6e854102fb6a17400f702b16a3cf11
|
[
"Unlicense"
] | 18
|
2018-02-22T13:36:27.000Z
|
2018-03-16T12:51:42.000Z
|
easy_gene/__init__.py
|
thomsn/easy_gen
|
722d5d65db6e854102fb6a17400f702b16a3cf11
|
[
"Unlicense"
] | null | null | null |
easy_gene/__init__.py
|
thomsn/easy_gen
|
722d5d65db6e854102fb6a17400f702b16a3cf11
|
[
"Unlicense"
] | 1
|
2018-03-16T12:51:52.000Z
|
2018-03-16T12:51:52.000Z
|
from easy_gene.easy_gene import evolve
| 38
| 38
| 0.894737
| 7
| 38
| 4.571429
| 0.714286
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078947
| 38
| 1
| 38
| 38
| 0.914286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
2248d01d0f85fe48aaa1a62be827fa629ae2008e
| 12,947
|
py
|
Python
|
util/eval_utils.py
|
zyxia1009/OadTR
|
ec6e4dafcb465719e80cbf39dcd2099e51927d51
|
[
"MIT"
] | 53
|
2021-06-21T14:31:54.000Z
|
2022-03-30T14:37:49.000Z
|
util/eval_utils.py
|
zyxia1009/OadTR
|
ec6e4dafcb465719e80cbf39dcd2099e51927d51
|
[
"MIT"
] | 15
|
2021-06-23T06:06:12.000Z
|
2022-03-25T14:30:30.000Z
|
util/eval_utils.py
|
zyxia1009/OadTR
|
ec6e4dafcb465719e80cbf39dcd2099e51927d51
|
[
"MIT"
] | 9
|
2021-06-27T04:29:56.000Z
|
2022-03-29T07:25:53.000Z
|
import os
import os.path as osp
import json
from collections import OrderedDict
import numpy as np
from sklearn.metrics import average_precision_score
from sklearn.metrics import confusion_matrix
__all__ = [
'compute_result_multilabel',
'compute_result_multilabel_test',
'compute_result',
'frame_level_map_n_cap_tvseries',
'frame_level_map_n_cap_thumos',
'compute_result_multilabel_tvseries',
]
def compute_result_multilabel_tvseries(class_index, score_metrics, target_metrics, save_dir, result_file,
ignore_class=[0], save=True, verbose=False, smooth=False, switch=False):
result = OrderedDict()
score_metrics = np.array(score_metrics)
pred_metrics = np.argmax(score_metrics, axis=1)
target_metrics = np.array(target_metrics)
###################################################################################################################
# We follow (Shou et al., 2017) and adopt their per-frame evaluation method of THUMOS'14 datset.
# Source: https://bitbucket.org/columbiadvmm/cdc/src/master/THUMOS14/eval/PreFrameLabeling/compute_framelevel_mAP.m
###################################################################################################################
# Simple temporal smoothing via NMS of 5-frames window
if smooth:
prob = np.copy(score_metrics)
prob1 = prob.reshape(1, prob.shape[0], prob.shape[1])
prob2 = np.append(prob[0, :].reshape(1, -1), prob[0:-1, :], axis=0).reshape(1, prob.shape[0], prob.shape[1])
prob3 = np.append(prob[1:, :], prob[-1, :].reshape(1, -1), axis=0).reshape(1, prob.shape[0], prob.shape[1])
prob4 = np.append(prob[0:2, :], prob[0:-2, :], axis=0).reshape(1, prob.shape[0], prob.shape[1])
prob5 = np.append(prob[2:, :], prob[-2:, :], axis=0).reshape(1, prob.shape[0], prob.shape[1])
probsmooth = np.squeeze(np.max(np.concatenate((prob1, prob2, prob3, prob4, prob5), axis=0), axis=0))
score_metrics = np.copy(probsmooth)
# Assign cliff diving (5) as diving (8)
if switch:
switch_index = np.where(score_metrics[:, 5] > score_metrics[:, 8])[0]
score_metrics[switch_index, 8] = score_metrics[switch_index, 5]
# Remove ambiguous (21)
# valid_index = np.where(target_metrics[:, 21]!=1)[0]
# Compute AP
result['AP'] = OrderedDict()
for cls in range(len(class_index)):
if cls not in ignore_class:
result['AP'][class_index[cls]] = average_precision_score(
(target_metrics[:, cls]==1).astype(np.int),
score_metrics[:, cls])
if verbose:
print('{} AP: {:.5f}'.format(class_index[cls], result['AP'][class_index[cls]]))
# Compute mAP
result['mAP'] = np.mean(list(result['AP'].values()))
if verbose:
print('mAP: {:.5f}'.format(result['mAP']))
# Save
if save:
if not osp.isdir(save_dir):
os.makedirs(save_dir)
with open(osp.join(save_dir, result_file), 'w') as f:
json.dump(result, f)
if verbose:
print('Saved the result to {}'.format(osp.join(save_dir, result_file)))
return result['mAP']
def frame_level_map_n_cap_thumos(results):
all_probs = results['probs']
all_labels = results['labels']
n_classes = all_labels.shape[0]
all_cls_ap, all_cls_acp = list(), list()
for i in range(1, n_classes):
this_cls_prob = all_probs[i, :]
this_cls_gt = all_labels[i, :]
w = np.sum(this_cls_gt == 0) / np.sum(this_cls_gt == 1)
indices = np.argsort(-this_cls_prob)
tp, psum, cpsum = 0, 0., 0.
for k, idx in enumerate(indices):
if this_cls_gt[idx] == 1:
tp += 1
wtp = w * tp
fp = (k + 1) - tp
psum += tp / (tp + fp)
cpsum += wtp / (wtp + fp)
this_cls_ap = psum/np.sum(this_cls_gt)
this_cls_acp = cpsum / np.sum(this_cls_gt)
all_cls_ap.append(this_cls_ap)
all_cls_acp.append(this_cls_acp)
map = sum(all_cls_ap) / len(all_cls_ap)
cap = sum(all_cls_acp) / len(all_cls_acp)
return map, all_cls_ap, cap, all_cls_acp
def frame_level_map_n_cap_tvseries(results):
all_probs = results['probs']
all_labels = results['labels']
# for i in range(1, all_probs.shape[1] - 1):
# all_probs[:, i] = np.mean(all_probs[:, i - 1:i + 1], axis=1)
n_classes = all_labels.shape[0]
all_cls_ap, all_cls_acp = list(), list()
for i in range(1, n_classes):
this_cls_prob = all_probs[i, :]
this_cls_gt = all_labels[i, :]
w = np.sum(this_cls_gt == 0) / np.sum(this_cls_gt == 1)
indices = np.argsort(-this_cls_prob)
tp, psum, cpsum = 0, 0., 0.
for k, idx in enumerate(indices):
if this_cls_gt[idx] == 1:
tp += 1
wtp = w * tp
fp = (k + 1) - tp
psum += tp / (tp + fp)
cpsum += wtp / (wtp + fp)
this_cls_ap = psum/np.sum(this_cls_gt)
this_cls_acp = cpsum / np.sum(this_cls_gt)
all_cls_ap.append(this_cls_ap)
all_cls_acp.append(this_cls_acp)
map = sum(all_cls_ap) / len(all_cls_ap)
cap = sum(all_cls_acp) / len(all_cls_acp)
return map, all_cls_ap, cap, all_cls_acp
def compute_result_multilabel_test(class_index, score_metrics, target_metrics, save_dir, result_file,
ignore_class=[0], save=True, verbose=False, smooth=False, switch=False, logger=None, step=None):
result = OrderedDict()
score_metrics = np.array(score_metrics)
pred_metrics = np.argmax(score_metrics, axis=1)
target_metrics = np.array(target_metrics)
###################################################################################################################
# We follow (Shou et al., 2017) and adopt their per-frame evaluation method of THUMOS'14 datset.
# Source: https://bitbucket.org/columbiadvmm/cdc/src/master/THUMOS14/eval/PreFrameLabeling/compute_framelevel_mAP.m
###################################################################################################################
# Simple temporal smoothing via NMS of 5-frames window
if smooth:
prob = np.copy(score_metrics)
prob1 = prob.reshape(1, prob.shape[0], prob.shape[1])
prob2 = np.append(prob[0, :].reshape(1, -1), prob[0:-1, :], axis=0).reshape(1, prob.shape[0], prob.shape[1])
prob3 = np.append(prob[1:, :], prob[-1, :].reshape(1, -1), axis=0).reshape(1, prob.shape[0], prob.shape[1])
prob4 = np.append(prob[0:2, :], prob[0:-2, :], axis=0).reshape(1, prob.shape[0], prob.shape[1])
prob5 = np.append(prob[2:, :], prob[-2:, :], axis=0).reshape(1, prob.shape[0], prob.shape[1])
probsmooth = np.squeeze(np.max(np.concatenate((prob1, prob2, prob3, prob4, prob5), axis=0), axis=0))
score_metrics = np.copy(probsmooth)
# Assign cliff diving (5) as diving (8)
if switch:
switch_index = np.where(score_metrics[:, 5] > score_metrics[:, 8])[0]
score_metrics[switch_index, 8] = score_metrics[switch_index, 5]
# Remove ambiguous (21)
valid_index = np.where(target_metrics[:, 21]!=1)[0]
# Compute AP
result['AP'] = OrderedDict()
for cls in range(len(class_index)):
if cls not in ignore_class:
result['AP'][class_index[cls]] = average_precision_score(
(target_metrics[valid_index, cls]==1).astype(np.int),
score_metrics[valid_index, cls])
if verbose:
print('{} AP: {:.5f}'.format(class_index[cls], result['AP'][class_index[cls]]))
logger.output_test_results('{} AP: {:.5f}'.format(class_index[cls], result['AP'][class_index[cls]]))
# Compute mAP
result['mAP'] = np.mean(list(result['AP'].values()))
if verbose:
print('mAP: {:.5f}'.format(result['mAP']))
if step is not None:
logger.output_test_results('step {} results : !'.format(step))
logger.output_test_results('mAP: {:.5f} \n'.format(result['mAP']))
# Save
if save:
if not osp.isdir(save_dir):
os.makedirs(save_dir)
with open(osp.join(save_dir, result_file), 'w') as f:
json.dump(result, f)
if verbose:
print('Saved the result to {}'.format(osp.join(save_dir, result_file)))
logger.output_test_results('Saved the result to {}'.format(osp.join(save_dir, result_file)))
return result['mAP']
def compute_result_multilabel(class_index, score_metrics, target_metrics, save_dir, result_file,
ignore_class=[0], save=True, verbose=False, smooth=False, switch=False):
result = OrderedDict()
score_metrics = np.array(score_metrics)
pred_metrics = np.argmax(score_metrics, axis=1)
target_metrics = np.array(target_metrics)
###################################################################################################################
# We follow (Shou et al., 2017) and adopt their per-frame evaluation method of THUMOS'14 datset.
# Source: https://bitbucket.org/columbiadvmm/cdc/src/master/THUMOS14/eval/PreFrameLabeling/compute_framelevel_mAP.m
###################################################################################################################
# Simple temporal smoothing via NMS of 5-frames window
if smooth:
prob = np.copy(score_metrics)
prob1 = prob.reshape(1, prob.shape[0], prob.shape[1])
prob2 = np.append(prob[0, :].reshape(1, -1), prob[0:-1, :], axis=0).reshape(1, prob.shape[0], prob.shape[1])
prob3 = np.append(prob[1:, :], prob[-1, :].reshape(1, -1), axis=0).reshape(1, prob.shape[0], prob.shape[1])
prob4 = np.append(prob[0:2, :], prob[0:-2, :], axis=0).reshape(1, prob.shape[0], prob.shape[1])
prob5 = np.append(prob[2:, :], prob[-2:, :], axis=0).reshape(1, prob.shape[0], prob.shape[1])
probsmooth = np.squeeze(np.max(np.concatenate((prob1, prob2, prob3, prob4, prob5), axis=0), axis=0))
score_metrics = np.copy(probsmooth)
# Assign cliff diving (5) as diving (8)
if switch:
switch_index = np.where(score_metrics[:, 5] > score_metrics[:, 8])[0]
score_metrics[switch_index, 8] = score_metrics[switch_index, 5]
# Remove ambiguous (21)
valid_index = np.where(target_metrics[:, 21]!=1)[0]
# Compute AP
result['AP'] = OrderedDict()
for cls in range(len(class_index)):
if cls not in ignore_class:
result['AP'][class_index[cls]] = average_precision_score(
(target_metrics[valid_index, cls]==1).astype(np.int),
score_metrics[valid_index, cls])
if verbose:
print('{} AP: {:.5f}'.format(class_index[cls], result['AP'][class_index[cls]]))
# Compute mAP
result['mAP'] = np.mean(list(result['AP'].values()))
if verbose:
print('mAP: {:.5f}'.format(result['mAP']))
# Save
if save:
if not osp.isdir(save_dir):
os.makedirs(save_dir)
with open(osp.join(save_dir, result_file), 'w') as f:
json.dump(result, f)
if verbose:
print('Saved the result to {}'.format(osp.join(save_dir, result_file)))
return result['mAP']
def compute_result(class_index, score_metrics, target_metrics, save_dir, result_file,
ignore_class=[0], save=True, verbose=False):
result = OrderedDict()
score_metrics = np.array(score_metrics)
pred_metrics = np.argmax(score_metrics, axis=1)
target_metrics = np.array(target_metrics)
# Compute ACC
correct = np.sum((target_metrics!=0) & (target_metrics==pred_metrics))
total = np.sum(target_metrics!=0)
result['ACC'] = correct / total
if verbose:
print('ACC: {:.5f}'.format(result['ACC']))
# Compute confusion matrix
result['confusion_matrix'] = \
confusion_matrix(target_metrics, pred_metrics).tolist()
# Compute AP
result['AP'] = OrderedDict()
for cls in range(len(class_index)):
if cls not in ignore_class:
result['AP'][class_index[cls]] = average_precision_score(
(target_metrics==cls).astype(np.int),
score_metrics[:, cls])
if verbose:
print('{} AP: {:.5f}'.format(class_index[cls], result['AP'][class_index[cls]]))
# Compute mAP
result['mAP'] = np.mean(list(result['AP'].values()))
if verbose:
print('mAP: {:.5f}'.format(result['mAP']))
# Save
if save:
if not osp.isdir(save_dir):
os.makedirs(save_dir)
with open(osp.join(save_dir, result_file), 'w') as f:
json.dump(result, f)
if verbose:
print('Saved the result to {}'.format(osp.join(save_dir, result_file)))
return result['mAP']
| 42.44918
| 126
| 0.580057
| 1,741
| 12,947
| 4.129236
| 0.094773
| 0.06343
| 0.025038
| 0.035471
| 0.899569
| 0.892614
| 0.87926
| 0.879121
| 0.879121
| 0.865489
| 0
| 0.025309
| 0.22484
| 12,947
| 304
| 127
| 42.588816
| 0.691012
| 0.098401
| 0
| 0.832558
| 0
| 0
| 0.049772
| 0.013425
| 0
| 0
| 0
| 0
| 0
| 1
| 0.027907
| false
| 0
| 0.032558
| 0
| 0.088372
| 0.060465
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
22772ee37968bd4754ee18b20fae22c39aecf717
| 1,159
|
py
|
Python
|
src/ecc.py
|
pbusenius/FSK200Bd1000Hz
|
cc73be177ed04ae8df1e5ad4f19b9a5662e37c04
|
[
"MIT"
] | null | null | null |
src/ecc.py
|
pbusenius/FSK200Bd1000Hz
|
cc73be177ed04ae8df1e5ad4f19b9a5662e37c04
|
[
"MIT"
] | null | null | null |
src/ecc.py
|
pbusenius/FSK200Bd1000Hz
|
cc73be177ed04ae8df1e5ad4f19b9a5662e37c04
|
[
"MIT"
] | null | null | null |
import numpy as np
index_ecc_lut = [
[0, 0, 0, 0, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 1], [0, 0, 1, 1, 0], [1, 1, 0, 0, 1], [0, 1, 0, 1, 0],
[0, 1, 1, 0, 0], [1, 1, 1, 1, 1], [1, 0, 1, 1, 0], [0, 0, 1, 0, 1], [0, 0, 0, 1, 1], [1, 0, 0, 0, 1],
[0, 1, 1, 1, 1], [1, 1, 1, 0, 0], [1, 1, 0, 1, 0], [0, 1, 0, 0, 1], [1, 1, 1, 1, 0], [0, 1, 1, 0, 1],
[0, 1, 0, 1, 1], [1, 1, 0, 0, 0], [0, 0, 1, 1, 1], [1, 0, 1, 0, 0], [1, 0, 0, 1, 0], [0, 0, 0, 0, 1],
[0, 1, 0, 0, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 1], [0, 1, 1, 1, 0], [1, 0, 0, 0, 1], [0, 0, 0, 1, 0],
[0, 0, 1, 0, 0], [1, 0, 1, 1, 1], [1, 1, 0, 0, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 1], [1, 1, 1, 1, 0],
[0, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [0, 0, 1, 1, 1], [0, 1, 1, 1, 0], [1, 1, 1, 0, 1],
[1, 1, 0, 1, 1], [0, 1, 0, 0, 0], [1, 0, 1, 1, 1], [0, 0, 1, 0, 0], [0, 0, 0, 1, 0], [1, 0, 0, 0, 1],
[0, 0, 1, 1, 0], [1, 0, 1, 0, 1], [1, 0, 0, 1, 1], [0, 0, 0, 0, 0], [1, 1, 1, 1, 1], [0, 1, 1, 0, 1],
]
class ECC:
def __init__(self):
pass
@staticmethod
def check(index, index_ecc):
return np.array_equal(index_ecc, index_ecc_lut[index])
| 50.391304
| 105
| 0.349439
| 299
| 1,159
| 1.317726
| 0.063545
| 0.350254
| 0.274112
| 0.192893
| 0.685279
| 0.685279
| 0.685279
| 0.65736
| 0.626904
| 0.545685
| 0
| 0.337079
| 0.308887
| 1,159
| 22
| 106
| 52.681818
| 0.154806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0.055556
| 0.055556
| 0.055556
| 0.277778
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
3f50d3a43b150a933a50624d0055830ceebfd312
| 8,016
|
py
|
Python
|
sdk/purview/azure-purview-catalog/azure/purview/catalog/rest/glossary/__init__.py
|
rsdoherty/azure-sdk-for-python
|
6bba5326677468e6660845a703686327178bb7b1
|
[
"MIT"
] | 3
|
2020-06-23T02:25:27.000Z
|
2021-09-07T18:48:11.000Z
|
sdk/purview/azure-purview-catalog/azure/purview/catalog/rest/glossary/__init__.py
|
rsdoherty/azure-sdk-for-python
|
6bba5326677468e6660845a703686327178bb7b1
|
[
"MIT"
] | 510
|
2019-07-17T16:11:19.000Z
|
2021-08-02T08:38:32.000Z
|
sdk/purview/azure-purview-catalog/azure/purview/catalog/rest/glossary/__init__.py
|
rsdoherty/azure-sdk-for-python
|
6bba5326677468e6660845a703686327178bb7b1
|
[
"MIT"
] | 5
|
2019-09-04T12:51:37.000Z
|
2020-09-16T07:28:40.000Z
|
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
try:
from ._request_builders_py3 import build_list_glossaries_request
from ._request_builders_py3 import build_create_glossary_request
from ._request_builders_py3 import build_create_glossary_categories_request
from ._request_builders_py3 import build_create_glossary_category_request
from ._request_builders_py3 import build_get_glossary_category_request
from ._request_builders_py3 import build_update_glossary_category_request
from ._request_builders_py3 import build_delete_glossary_category_request
from ._request_builders_py3 import build_partial_update_glossary_category_request
from ._request_builders_py3 import build_list_related_categories_request
from ._request_builders_py3 import build_list_category_terms_request
from ._request_builders_py3 import build_create_glossary_term_request
from ._request_builders_py3 import build_get_glossary_term_request
from ._request_builders_py3 import build_update_glossary_term_request
from ._request_builders_py3 import build_delete_glossary_term_request
from ._request_builders_py3 import build_partial_update_glossary_term_request
from ._request_builders_py3 import build_create_glossary_terms_request
from ._request_builders_py3 import build_get_entities_assigned_with_term_request
from ._request_builders_py3 import build_assign_term_to_entities_request
from ._request_builders_py3 import build_remove_term_assignment_from_entities_request
from ._request_builders_py3 import build_delete_term_assignment_from_entities_request
from ._request_builders_py3 import build_list_related_terms_request
from ._request_builders_py3 import build_get_glossary_request
from ._request_builders_py3 import build_update_glossary_request
from ._request_builders_py3 import build_delete_glossary_request
from ._request_builders_py3 import build_list_glossary_categories_request
from ._request_builders_py3 import build_list_glossary_categories_headers_request
from ._request_builders_py3 import build_get_detailed_glossary_request
from ._request_builders_py3 import build_partial_update_glossary_request
from ._request_builders_py3 import build_list_glossary_terms_request
from ._request_builders_py3 import build_list_glossary_term_headers_request
from ._request_builders_py3 import build_import_glossary_terms_via_csv_request
from ._request_builders_py3 import build_import_glossary_terms_via_csv_by_glossary_name_request
from ._request_builders_py3 import build_get_import_csv_operation_status_request
from ._request_builders_py3 import build_export_glossary_terms_as_csv_request
from ._request_builders_py3 import build_list_terms_by_glossary_name_request
except (SyntaxError, ImportError):
from ._request_builders import build_list_glossaries_request # type: ignore
from ._request_builders import build_create_glossary_request # type: ignore
from ._request_builders import build_create_glossary_categories_request # type: ignore
from ._request_builders import build_create_glossary_category_request # type: ignore
from ._request_builders import build_get_glossary_category_request # type: ignore
from ._request_builders import build_update_glossary_category_request # type: ignore
from ._request_builders import build_delete_glossary_category_request # type: ignore
from ._request_builders import build_partial_update_glossary_category_request # type: ignore
from ._request_builders import build_list_related_categories_request # type: ignore
from ._request_builders import build_list_category_terms_request # type: ignore
from ._request_builders import build_create_glossary_term_request # type: ignore
from ._request_builders import build_get_glossary_term_request # type: ignore
from ._request_builders import build_update_glossary_term_request # type: ignore
from ._request_builders import build_delete_glossary_term_request # type: ignore
from ._request_builders import build_partial_update_glossary_term_request # type: ignore
from ._request_builders import build_create_glossary_terms_request # type: ignore
from ._request_builders import build_get_entities_assigned_with_term_request # type: ignore
from ._request_builders import build_assign_term_to_entities_request # type: ignore
from ._request_builders import build_remove_term_assignment_from_entities_request # type: ignore
from ._request_builders import build_delete_term_assignment_from_entities_request # type: ignore
from ._request_builders import build_list_related_terms_request # type: ignore
from ._request_builders import build_get_glossary_request # type: ignore
from ._request_builders import build_update_glossary_request # type: ignore
from ._request_builders import build_delete_glossary_request # type: ignore
from ._request_builders import build_list_glossary_categories_request # type: ignore
from ._request_builders import build_list_glossary_categories_headers_request # type: ignore
from ._request_builders import build_get_detailed_glossary_request # type: ignore
from ._request_builders import build_partial_update_glossary_request # type: ignore
from ._request_builders import build_list_glossary_terms_request # type: ignore
from ._request_builders import build_list_glossary_term_headers_request # type: ignore
from ._request_builders import build_import_glossary_terms_via_csv_request # type: ignore
from ._request_builders import build_import_glossary_terms_via_csv_by_glossary_name_request # type: ignore
from ._request_builders import build_get_import_csv_operation_status_request # type: ignore
from ._request_builders import build_export_glossary_terms_as_csv_request # type: ignore
from ._request_builders import build_list_terms_by_glossary_name_request # type: ignore
__all__ = [
'build_list_glossaries_request',
'build_create_glossary_request',
'build_create_glossary_categories_request',
'build_create_glossary_category_request',
'build_get_glossary_category_request',
'build_update_glossary_category_request',
'build_delete_glossary_category_request',
'build_partial_update_glossary_category_request',
'build_list_related_categories_request',
'build_list_category_terms_request',
'build_create_glossary_term_request',
'build_get_glossary_term_request',
'build_update_glossary_term_request',
'build_delete_glossary_term_request',
'build_partial_update_glossary_term_request',
'build_create_glossary_terms_request',
'build_get_entities_assigned_with_term_request',
'build_assign_term_to_entities_request',
'build_remove_term_assignment_from_entities_request',
'build_delete_term_assignment_from_entities_request',
'build_list_related_terms_request',
'build_get_glossary_request',
'build_update_glossary_request',
'build_delete_glossary_request',
'build_list_glossary_categories_request',
'build_list_glossary_categories_headers_request',
'build_get_detailed_glossary_request',
'build_partial_update_glossary_request',
'build_list_glossary_terms_request',
'build_list_glossary_term_headers_request',
'build_import_glossary_terms_via_csv_request',
'build_import_glossary_terms_via_csv_by_glossary_name_request',
'build_get_import_csv_operation_status_request',
'build_export_glossary_terms_as_csv_request',
'build_list_terms_by_glossary_name_request',
]
| 67.361345
| 111
| 0.830464
| 1,019
| 8,016
| 5.889107
| 0.07949
| 0.128312
| 0.22163
| 0.128312
| 0.934678
| 0.840693
| 0.797367
| 0.735377
| 0.650392
| 0.465589
| 0
| 0.005086
| 0.117016
| 8,016
| 118
| 112
| 67.932203
| 0.842752
| 0.113149
| 0
| 0
| 0
| 0
| 0.188367
| 0.188367
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.678899
| 0
| 0.678899
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
58d26534f3c3caac9ebafc75bb3bd60fe4603603
| 8,228
|
py
|
Python
|
manim2/scene/end_video.py
|
tigerking/manim2
|
93e8957e433b8e59acb5a5213a4074ee0125b823
|
[
"MIT"
] | null | null | null |
manim2/scene/end_video.py
|
tigerking/manim2
|
93e8957e433b8e59acb5a5213a4074ee0125b823
|
[
"MIT"
] | null | null | null |
manim2/scene/end_video.py
|
tigerking/manim2
|
93e8957e433b8e59acb5a5213a4074ee0125b823
|
[
"MIT"
] | null | null | null |
from manim2.imports import *
#set_custom_quality(800,10)
class RedesEspanhol(Scene):
def construct(self):
self.redes_esp()
def redes_esp(self):
print('TODO,RedesEspanhol do nothing -- TK')
pass
def Xredes_esp(self):
twitter = Twitter()
reddits = Reddits()
instagram = Instagram()
patreon=Patreon()
patreon[1].set_fill(BLACK)
back_negro=patreon[1].copy().move_to(patreon[1])
patreon.add(back_negro)
redes_s=VGroup(*[obj.set_height(2)for obj in [patreon,reddits,twitter,instagram]])\
.arrange_submobjects(RIGHT,buff=0.8)
redes_s.move_to(ORIGIN)
redes_f_pre=redes_s.copy()
""" redes_f.arrange_submobjects(
DOWN, aligned_edge=LEFT, buff=0.4
) """
redes_f1=redes_f_pre[:2]
redes_f2=redes_f_pre[2:]
for redes_ in [redes_f1,redes_f2]:
redes_.arrange(DOWN,buff=1.5)
redes_f_pre2=VGroup(redes_f1,redes_f2).arrange(RIGHT,buff=7)
redes_f=VGroup(*redes_f_pre).shift(UP*1.6)
texto=VGroup(
TextMobject("\\tt Theorem of Beethoven").set_color("#F96855"),
TextMobject("\\tt r/ElteoremaDeBeethoven").match_color(reddits),
TextMobject("\\tt @ElteoremadeB").match_color(twitter),
TextMobject("\\tt ElteoremaDeBeethoven").set_color("#B52C94")
)
redes_f.to_edge(LEFT).scale(0.7).shift(LEFT*0.7)
for i in range(len(texto)):
texto[i].scale(0.8).next_to(redes_f[i],DOWN,buff=0.2)
self.play(DrawBorderThenFill(redes_s),run_time=3)
self.play(ReplacementTransform(redes_s,redes_f))
self.wait(0.1)
self.add_foreground_mobject(redes_f)
circles=VGroup(*[Dot(redes_f[i].get_center(),color=WHITE,radius=twitter.get_width()*0.5).scale(0.9)for i in range(len(redes_f)-1)])
texto.shift(RIGHT*2)
punto=Dot(redes_f.get_center()).shift(RIGHT*2)
vector=punto.get_center()[0]-redes_f.get_center()[0]
circles.set_fill(None,0)
self.add(circles)
def update(grupo):
for i in range(len(grupo)):
grupo[i].move_to(redes_f[i+1].get_center())
dif=(punto.get_center()[0]-grupo.get_center()[0])
grupo.set_fill(WHITE,smooth(1-dif/vector))
if i==0:
redes_f[i][-1].set_fill(WHITE,smooth(1-dif/vector))
return grupo
#self.play(FadeIn(circles))
self.Oldplay(redes_f.shift,RIGHT*2,
OldUpdateFromFunc(circles,update),
*[Escribe(texto[i])for i in range(len(texto))])
circles.set_fill(WHITE,1)
self.add(circles)
redes_fc=redes_f.copy()
redes_fc.set_fill(opacity=0)
redes_fc.set_stroke(WHITE,3)
redes_fc[-1].set_stroke(BLACK,1.5)
grupo_circulos=VGroup(*[Circle(color=WHITE).match_width(redes_fc[0])for x in range(4)])
c=0
for circulo in grupo_circulos:
circulo.move_to(redes_fc[c].get_center())
c+=1
agradecimientos=Text("\\sc Agradecimientos\\\\ especiales a:",color=YELLOW)
patreons=VGroup(
Text("Guadalupe Martínez")
)
agradecimientos.move_to(LEFT*3)
patreons.next_to(agradecimientos,DOWN)
grupo_patreon=VGroup(agradecimientos,patreons).arrange(DOWN).to_edge(DOWN)
#patreons.align_on_border(DOWN,buff=0)
for x in range(2):
self.play(
ShowCreationThenDestruction(
grupo_circulos,
time_width = 0.5,
run_time = 2,
rate_func=linear
),
*[FadeIn(agradecimientos)for w in range(1) if x==0],
*[Write(patreons)for w in range(1) if x==0]
)
self.wait(2)
cuadro_negro=Rectangle(width=FRAME_WIDTH,height=FRAME_HEIGHT).set_fill(BLACK,0).set_stroke(None,0)
self.add_foreground_mobject(cuadro_negro)
self.play(cuadro_negro.set_fill,None,1)
self.wait(5)
#-----------------------------------
class RedesIngles(Scene):
def construct(self):
self.redes_ing()
def redes_ing(self):
print('TODO, RedesIngles do nothing -- TK')
pass
def Xredes_ing(self):
twitter = Twitter()
reddits = Reddits()
instagram = Instagram()
patreon=Patreon()
patreon[1].set_fill(BLACK)
back_negro=patreon[1].copy().move_to(patreon[1])
patreon.add(back_negro)
redes_s=VGroup(*[obj.set_height(2)for obj in [patreon,reddits,twitter,instagram]])\
.arrange_submobjects(RIGHT,buff=0.8)
redes_s.move_to(ORIGIN)
redes_f_pre=redes_s.copy()
""" redes_f.arrange_submobjects(
DOWN, aligned_edge=LEFT, buff=0.4
) """
redes_f1=redes_f_pre[:2]
redes_f2=redes_f_pre[2:]
for redes_ in [redes_f1,redes_f2]:
redes_.arrange(DOWN,buff=1.5)
redes_f_pre2=VGroup(redes_f1,redes_f2).arrange(RIGHT,buff=7)
redes_f=VGroup(*redes_f_pre).shift(UP*1.6)
texto=VGroup(
TextMobject("\\tt Theorem of Beethoven").set_color("#F96855"),
TextMobject("\\tt r/TheoremOfBeethoven").match_color(reddits),
TextMobject("\\tt @ElteoremadeB").match_color(twitter),
TextMobject("\\tt ElteoremaDeBeethoven").set_color("#B52C94")
)
redes_f.to_edge(LEFT).scale(0.7).shift(LEFT*0.7)
for i in range(len(texto)):
texto[i].scale(0.8).next_to(redes_f[i],DOWN,buff=0.2)
self.play(DrawBorderThenFill(redes_s),run_time=3)
self.play(ReplacementTransform(redes_s,redes_f))
self.wait(0.1)
self.add_foreground_mobject(redes_f)
circles=VGroup(*[Dot(redes_f[i].get_center(),color=WHITE,radius=twitter.get_width()*0.5).scale(0.9)for i in range(len(redes_f)-1)])
texto.shift(RIGHT*2)
punto=Dot(redes_f.get_center()).shift(RIGHT*2)
vector=punto.get_center()[0]-redes_f.get_center()[0]
circles.set_fill(None,0)
self.add(circles)
def update(grupo):
for i in range(len(grupo)):
grupo[i].move_to(redes_f[i+1].get_center())
dif=(punto.get_center()[0]-grupo.get_center()[0])
grupo.set_fill(WHITE,smooth(1-dif/vector))
if i==0:
redes_f[i][-1].set_fill(WHITE,smooth(1-dif/vector))
return grupo
#self.play(FadeIn(circles))
self.Oldplay(redes_f.shift,RIGHT*2,
OldUpdateFromFunc(circles,update),
*[Escribe(texto[i])for i in range(len(texto))])
circles.set_fill(WHITE,1)
self.add(circles)
redes_fc=redes_f.copy()
redes_fc.set_fill(opacity=0)
redes_fc.set_stroke(WHITE,3)
redes_fc[-1].set_stroke(BLACK,1.5)
grupo_circulos=VGroup(*[Circle(color=WHITE).match_width(redes_fc[0])for x in range(4)])
c=0
for circulo in grupo_circulos:
circulo.move_to(redes_fc[c].get_center())
c+=1
agradecimientos=Text("\\sc Special thanks to:",color=YELLOW)
patreons=VGroup(
Text("Guadalupe Martínez")
)
agradecimientos.move_to(LEFT*3)
patreons.next_to(agradecimientos,DOWN)
grupo_patreon=VGroup(agradecimientos,patreons).arrange(DOWN).to_edge(DOWN)
#patreons.align_on_border(DOWN,buff=0)
for x in range(2):
self.play(
ShowCreationThenDestruction(
grupo_circulos,
time_width = 0.5,
run_time = 2,
rate_func=linear
),
*[FadeIn(agradecimientos)for w in range(1) if x==0],
*[Write(patreons)for w in range(1) if x==0]
)
self.wait(2)
cuadro_negro=Rectangle(width=FRAME_WIDTH,height=FRAME_HEIGHT).set_fill(BLACK,0).set_stroke(None,0)
self.add_foreground_mobject(cuadro_negro)
self.play(cuadro_negro.set_fill,None,1)
self.wait(5)
| 37.230769
| 139
| 0.589329
| 1,091
| 8,228
| 4.250229
| 0.135655
| 0.04917
| 0.015527
| 0.018978
| 0.948027
| 0.948027
| 0.924736
| 0.924736
| 0.924736
| 0.924736
| 0
| 0.029436
| 0.273335
| 8,228
| 221
| 140
| 37.230769
| 0.746111
| 0.022727
| 0
| 0.881356
| 0
| 0
| 0.0487
| 0.002805
| 0
| 0
| 0
| 0
| 0
| 1
| 0.045198
| false
| 0.011299
| 0.00565
| 0
| 0.073446
| 0.011299
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
450d417168ee8d9695c3d2b5654f63737fcf638e
| 822
|
py
|
Python
|
autopandas_v2/generators/utils.py
|
chyanju/autopandas
|
16080ad12f0e8e7b0a614671aea1ed57b3fed7fe
|
[
"BSD-3-Clause"
] | 16
|
2019-08-13T02:49:44.000Z
|
2022-02-08T03:14:34.000Z
|
autopandas_v2/generators/utils.py
|
chyanju/autopandas
|
16080ad12f0e8e7b0a614671aea1ed57b3fed7fe
|
[
"BSD-3-Clause"
] | 2
|
2020-09-25T22:40:40.000Z
|
2022-02-09T23:42:53.000Z
|
autopandas_v2/generators/utils.py
|
chyanju/autopandas
|
16080ad12f0e8e7b0a614671aea1ed57b3fed7fe
|
[
"BSD-3-Clause"
] | 3
|
2021-07-06T10:30:36.000Z
|
2022-01-11T23:21:31.000Z
|
from typing import Dict
from autopandas_v2.generators.base import BaseGenerator
from autopandas_v2.utils.misc import get_all_defined_classes_recursive
def load_generators() -> Dict[str, BaseGenerator]:
generators: Dict[str, BaseGenerator] = {}
import autopandas_v2.generators.specs_compiled as gens
for name, cls in get_all_defined_classes_recursive(gens):
if issubclass(cls, BaseGenerator):
generators[name] = cls()
return generators
def load_randomized_generators() -> Dict[str, BaseGenerator]:
generators: Dict[str, BaseGenerator] = {}
import autopandas_v2.generators.ml.traindata.specs_compiled as gens
for name, cls in get_all_defined_classes_recursive(gens):
if issubclass(cls, BaseGenerator):
generators[name] = cls()
return generators
| 32.88
| 71
| 0.743309
| 99
| 822
| 5.959596
| 0.333333
| 0.081356
| 0.115254
| 0.20339
| 0.771186
| 0.722034
| 0.722034
| 0.722034
| 0.722034
| 0.722034
| 0
| 0.005908
| 0.176399
| 822
| 24
| 72
| 34.25
| 0.865583
| 0
| 0
| 0.588235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.117647
| true
| 0
| 0.294118
| 0
| 0.529412
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
4540b328904e3cf9c61eda46870057af16f5a5a5
| 27,884
|
py
|
Python
|
pkgs/ops-pkg/src/genie/libs/ops/hsrp/iosxr/tests/hsrp_output.py
|
miott/genielibs
|
6464642cdd67aa2367bdbb12561af4bb060e5e62
|
[
"Apache-2.0"
] | 94
|
2018-04-30T20:29:15.000Z
|
2022-03-29T13:40:31.000Z
|
pkgs/ops-pkg/src/genie/libs/ops/hsrp/iosxr/tests/hsrp_output.py
|
miott/genielibs
|
6464642cdd67aa2367bdbb12561af4bb060e5e62
|
[
"Apache-2.0"
] | 67
|
2018-12-06T21:08:09.000Z
|
2022-03-29T18:00:46.000Z
|
pkgs/ops-pkg/src/genie/libs/ops/hsrp/iosxr/tests/hsrp_output.py
|
miott/genielibs
|
6464642cdd67aa2367bdbb12561af4bb060e5e62
|
[
"Apache-2.0"
] | 49
|
2018-06-29T18:59:03.000Z
|
2022-03-10T02:07:59.000Z
|
class HsrpOutput(object):
# 'show hsrp detail' output
showHsrpDetailOutput = \
{
'GigabitEthernet0/0/0/0': {
'address_family': {
'ipv4': {
'version': {
1: {
'groups': {
0: {
'active_ip_address': 'unknown',
'active_router': 'unknown',
'bfd': {
'address': '10.1.1.1',
'interface_name': 'GigabitEthernet0/0/0/1',
'state': 'inactive'
},
'group_number': 0,
'hsrp_router_state': 'init',
'preempt': True,
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'stored',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': 'never',
'num_state_changes': 0
},
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0000.0c07.ac00'
},
10: {
'active_ip_address': 'local',
'active_priority': 63,
'active_router': 'local',
'authentication': 'cisco123',
'group_number': 10,
'hsrp_router_state': 'active',
'num_of_slaves': 1,
'preempt': True,
'primary_ipv4_address': {
'address': '10.1.1.254'
},
'priority': 63,
'session_name': 'group10',
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'reserving',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': '09:36:53',
'num_state_changes': 4
},
'timers': {
'cfgd_hello_msec': 10000,
'cfgd_hold_msec': 30000,
'hello_msec': 10000,
'hello_msec_flag': True,
'hold_msec': 30000,
'hold_msec_flag': True
},
'tracked_interfaces': {
'GigabitEthernet0/0/0/1': {
'interface_name': 'GigabitEthernet0/0/0/1',
'priority_decrement': 123
}
},
'tracked_objects': {
'1': {
'object_name': '1',
'priority_decrement': 25
},
'num_tracked_objects': 2,
'num_tracked_objects_up': 1
},
'virtual_mac_address': '0000.0c07.ac0a'
},
20: {
'active_ip_address': 'local',
'active_priority': 100,
'active_router': 'local',
'group_number': 20,
'hsrp_router_state': 'active',
'primary_ipv4_address': {
'address': '10.1.1.128'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'reserving',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': '09:37:52',
'num_state_changes': 4
},
'timers': {
'cfgd_hello_msec': 111,
'cfgd_hold_msec': 333,
'hello_msec': 111,
'hello_msec_flag': True,
'hold_msec': 333,
'hold_msec_flag': True
},
'tracked_interfaces': {
'GigabitEthernet0/0/0/1': {
'interface_name': 'GigabitEthernet0/0/0/1',
'priority_decrement': 251
}
},
'tracked_objects': {
'num_tracked_objects': 1,
'num_tracked_objects_up': 1
},
'virtual_mac_address': '0000.0c07.ac14'
}
},
'slave_groups': {
30: {
'follow': 'group10',
'group_number': 30,
'hsrp_router_state': 'init',
'primary_ipv4_address': {
'address': 'unknown'
},
'priority': 100,
'standby_state': 'stored',
'virtual_mac_address': '0000.0c07.ac1e'
}
}
}
}
},
'ipv6': {
'version': {
2: {
'groups': {
10: {
'active_ip_address': 'local',
'active_priority': 100,
'active_router': 'local',
'group_number': 10,
'hsrp_router_state': 'active',
'link_local_ipv6_address': {
'address': 'fe80::205:73ff:fea0:a'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'reserving',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': '09:37:18',
'num_state_changes': 4
},
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0005.73a0.000a'
},
20: {
'active_ip_address': 'local',
'active_priority': 100,
'active_router': 'local',
'group_number': 20,
'hsrp_router_state': 'active',
'link_local_ipv6_address': {
'address': 'fe80::205:73ff:fea0:14'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'reserving',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': '09:37:18',
'num_state_changes': 4
},
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0005.73a0.0014'
},
30: {
'active_ip_address': 'local',
'active_priority': 100,
'active_router': 'local',
'group_number': 30,
'hsrp_router_state': 'active',
'link_local_ipv6_address': {
'address': 'fe80::205:73ff:fea0:1e'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'reserving',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': '09:37:18',
'num_state_changes': 4
},
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0005.73a0.001e'
}
}
}
}
}
},
'bfd': {
'detection_multiplier': 3,
'enabled': True,
'interval': 15
},
'delay': {
'minimum_delay': 100,
'reload_delay': 1000
},
'interface': 'GigabitEthernet0/0/0/0',
'redirects_disable': True,
'use_bia': False
}
}
showHsrpDetailOutputIncomplete = \
{
'GigabitEthernet0/0/0/0': {
'address_family': {
'ipv4': {
'version': {
1: {
'groups': {
0: {
'active_ip_address': 'unknown',
'active_router': 'unknown',
'bfd': {
'address': '10.1.1.1',
'interface_name': 'GigabitEthernet0/0/0/1',
'state': 'inactive'
},
'group_number': 0,
'hsrp_router_state': 'init',
'preempt': True,
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'stored',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': 'never',
'num_state_changes': 0
},
'virtual_mac_address': '0000.0c07.ac00'
},
10: {
'active_ip_address': 'local',
'active_priority': 63,
'active_router': 'local',
'authentication': 'cisco123',
'group_number': 10,
'hsrp_router_state': 'active',
'num_of_slaves': 1,
'preempt': True,
'primary_ipv4_address': {
'address': '10.1.1.254'
},
'priority': 63,
'session_name': 'group10',
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'reserving',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': '09:36:53',
'num_state_changes': 4
},
'timers': {
'cfgd_hello_msec': 10000,
'cfgd_hold_msec': 30000,
'hello_msec': 10000,
'hello_msec_flag': True,
'hold_msec': 30000,
'hold_msec_flag': True
},
'tracked_interfaces': {
'GigabitEthernet0/0/0/1': {
'interface_name': 'GigabitEthernet0/0/0/1',
'priority_decrement': 123
}
},
'tracked_objects': {
'1': {
'object_name': '1',
'priority_decrement': 25
},
'num_tracked_objects': 2,
'num_tracked_objects_up': 1
},
'virtual_mac_address': '0000.0c07.ac0a'
},
20: {
'active_ip_address': 'local',
'active_priority': 100,
'active_router': 'local',
'group_number': 20,
'hsrp_router_state': 'active',
'primary_ipv4_address': {
'address': '10.1.1.128'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'reserving',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': '09:37:52',
'num_state_changes': 4
},
'timers': {
'cfgd_hello_msec': 111,
'cfgd_hold_msec': 333,
'hello_msec': 111,
'hello_msec_flag': True,
'hold_msec': 333,
'hold_msec_flag': True
},
'tracked_interfaces': {
'GigabitEthernet0/0/0/1': {
'interface_name': 'GigabitEthernet0/0/0/1',
'priority_decrement': 251
}
},
'tracked_objects': {
'num_tracked_objects': 1,
'num_tracked_objects_up': 1
},
'virtual_mac_address': '0000.0c07.ac14'
}
},
'slave_groups': {
30: {
'follow': 'group10',
'group_number': 30,
'hsrp_router_state': 'init',
'primary_ipv4_address': {
'address': 'unknown'
},
'priority': 100,
'standby_state': 'stored',
'virtual_mac_address': '0000.0c07.ac1e'
}
}
}
}
},
'ipv6': {
'version': {
2: {
'groups': {
10: {
'active_ip_address': 'local',
'active_priority': 100,
'active_router': 'local',
'group_number': 10,
'hsrp_router_state': 'active',
'link_local_ipv6_address': {
'address': 'fe80::205:73ff:fea0:a'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'reserving',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': '09:37:18',
'num_state_changes': 4
},
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0005.73a0.000a'
},
20: {
'active_ip_address': 'local',
'active_priority': 100,
'active_router': 'local',
'group_number': 20,
'hsrp_router_state': 'active',
'link_local_ipv6_address': {
'address': 'fe80::205:73ff:fea0:14'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'reserving',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': '09:37:18',
'num_state_changes': 4
},
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0005.73a0.0014'
},
30: {
'active_ip_address': 'local',
'active_priority': 100,
'active_router': 'local',
'group_number': 30,
'hsrp_router_state': 'active',
'link_local_ipv6_address': {
'address': 'fe80::205:73ff:fea0:1e'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'standby_state': 'reserving',
'statistics': {
'last_coup_received': 'Never',
'last_coup_sent': 'Never',
'last_resign_received': 'Never',
'last_resign_sent': 'Never',
'last_state_change': '09:37:18',
'num_state_changes': 4
},
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0005.73a0.001e'
}
}
}
}
}
},
'bfd': {
'detection_multiplier': 3,
'enabled': True,
'interval': 15
},
'delay': {
'minimum_delay': 100,
'reload_delay': 1000
},
'interface': 'GigabitEthernet0/0/0/0',
'redirects_disable': True,
'use_bia': False
}
}
# 'show hsrp summary' output
showHsrpSummaryOutput = \
{
'address_family': {
'ipv4': {
'intf_down': 0,
'intf_total': 1,
'intf_up': 1,
'state': {
'ACTIVE': {
'sessions': 2,
'slaves': 0,
'total': 2
},
'ALL': {
'sessions': 3,
'slaves': 1,
'total': 4
},
'INIT': {
'sessions': 1,
'slaves': 1,
'total': 2
},
'LEARN': {
'sessions': 0,
'slaves': 0,
'total': 0
},
'LISTEN': {
'sessions': 0,
'slaves': 0,
'total': 0
},
'SPEAK': {
'sessions': 0,
'slaves': 0,
'total': 0
},
'STANDBY': {
'sessions': 0,
'slaves': 0,
'total': 0
}
},
'virtual_addresses_active': 3,
'virtual_addresses_inactive': 0,
'vritual_addresses_total': 3
},
'ipv6': {
'intf_down': 0,
'intf_total': 1,
'intf_up': 1,
'state': {
'ACTIVE': {
'sessions': 3,
'slaves': 0,
'total': 3
},
'ALL': {
'sessions': 3,
'slaves': 0,
'total': 3
},
'INIT': {
'sessions': 0,
'slaves': 0,
'total': 0
},
'LEARN': {
'sessions': 0,
'slaves': 0,
'total': 0
},
'LISTEN': {
'sessions': 0,
'slaves': 0,
'total': 0
},
'SPEAK': {
'sessions': 0,
'slaves': 0,
'total': 0
},
'STANDBY': {
'sessions': 0,
'slaves': 0,
'total': 0
}
},
'virtual_addresses_active': 5,
'virtual_addresses_inactive': 0,
'vritual_addresses_total': 5
}
},
'bfd_sessions_down': 0,
'bfd_sessions_inactive': 1,
'bfd_sessions_up': 0,
'num_bfd_sessions': 1,
'num_tracked_objects': 2,
'tracked_objects_down': 1,
'tracked_objects_up': 1
}
# Hsrp Ops Object final output
hsrpOpsOutput = \
{
'GigabitEthernet0/0/0/0': {
'address_family': {
'ipv4': {
'version': {
1: {
'groups': {
0: {
'active_ip_address': 'unknown',
'active_router': 'unknown',
'bfd': {
'address': '10.1.1.1',
'interface_name': 'GigabitEthernet0/0/0/1'
},
'group_number': 0,
'hsrp_router_state': 'init',
'preempt': True,
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0000.0c07.ac00'
},
10: {
'active_ip_address': 'local',
'active_router': 'local',
'authentication': 'cisco123',
'group_number': 10,
'hsrp_router_state': 'active',
'preempt': True,
'primary_ipv4_address': {
'address': '10.1.1.254'
},
'priority': 63,
'session_name': 'group10',
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'timers': {
'hello_msec': 10000,
'hello_msec_flag': True,
'hold_msec': 30000,
'hold_msec_flag': True
},
'tracked_interfaces': {
'GigabitEthernet0/0/0/1': {
'interface_name': 'GigabitEthernet0/0/0/1',
'priority_decrement': 123
}
},
'tracked_objects': {
'1': {
'object_name': '1',
'priority_decrement': 25
}
},
'virtual_mac_address': '0000.0c07.ac0a'
},
20: {
'active_ip_address': 'local',
'active_router': 'local',
'group_number': 20,
'hsrp_router_state': 'active',
'primary_ipv4_address': {
'address': '10.1.1.128'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'timers': {
'hello_msec': 111,
'hello_msec_flag': True,
'hold_msec': 333,
'hold_msec_flag': True
},
'tracked_interfaces': {
'GigabitEthernet0/0/0/1': {
'interface_name': 'GigabitEthernet0/0/0/1',
'priority_decrement': 251
}
},
'virtual_mac_address': '0000.0c07.ac14'
}
},
'slave_groups': {
30: {
'follow': 'group10',
'primary_ipv4_address': {
'address': 'unknown'
},
'virtual_mac_address': '0000.0c07.ac1e'
}
}
}
}
},
'ipv6': {
'version': {
2: {
'groups': {
10: {
'active_ip_address': 'local',
'active_router': 'local',
'group_number': 10,
'hsrp_router_state': 'active',
'link_local_ipv6_address': {
'address': 'fe80::205:73ff:fea0:a'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0005.73a0.000a'
},
20: {
'active_ip_address': 'local',
'active_router': 'local',
'group_number': 20,
'hsrp_router_state': 'active',
'link_local_ipv6_address': {
'address': 'fe80::205:73ff:fea0:14'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0005.73a0.0014'
},
30: {
'active_ip_address': 'local',
'active_router': 'local',
'group_number': 30,
'hsrp_router_state': 'active',
'link_local_ipv6_address': {
'address': 'fe80::205:73ff:fea0:1e'
},
'priority': 100,
'standby_ip_address': 'unknown',
'standby_router': 'unknown',
'timers': {
'hello_msec': 3000,
'hello_msec_flag': True,
'hold_msec': 10000,
'hold_msec_flag': True
},
'virtual_mac_address': '0005.73a0.001e'
}
}
}
}
}
},
'bfd': {
'detection_multiplier': 3,
'enabled': True,
'interval': 15
},
'delay': {
'minimum_delay': 100,
'reload_delay': 1000
},
'interface': 'GigabitEthernet0/0/0/0',
'redirects_disable': True,
'use_bia': False
}
}
# vim: ft=python et sw=4
| 34.811486
| 65
| 0.370822
| 1,975
| 27,884
| 4.904304
| 0.07443
| 0.0446
| 0.042123
| 0.042742
| 0.958497
| 0.955193
| 0.949205
| 0.939707
| 0.939707
| 0.939707
| 0
| 0.074351
| 0.510902
| 27,884
| 800
| 66
| 34.855
| 0.63587
| 0.00373
| 0
| 0.777215
| 0
| 0
| 0.348119
| 0.040288
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0.006329
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
188a176096008b78c2780fac5eea422409f5846b
| 9,802
|
py
|
Python
|
src/stratis_cli/_actions/_introspect.py
|
bgurney-rh/stratis-cli
|
7bada40cd4005d429fb4baeda6fdb035b22c28b9
|
[
"Apache-2.0"
] | null | null | null |
src/stratis_cli/_actions/_introspect.py
|
bgurney-rh/stratis-cli
|
7bada40cd4005d429fb4baeda6fdb035b22c28b9
|
[
"Apache-2.0"
] | null | null | null |
src/stratis_cli/_actions/_introspect.py
|
bgurney-rh/stratis-cli
|
7bada40cd4005d429fb4baeda6fdb035b22c28b9
|
[
"Apache-2.0"
] | null | null | null |
SPECS = {
"org.freedesktop.DBus.ObjectManager": """
<interface name="org.freedesktop.DBus.ObjectManager">
<method name="GetManagedObjects">
<arg name="objpath_interfaces_and_properties" type="a{oa{sa{sv}}}" direction="out" />
</method>
</interface>
""",
"org.storage.stratis2.FetchProperties.r4": """
<interface name="org.storage.stratis2.FetchProperties.r4">
<method name="GetAllProperties">
<arg name="results" type="a{s(bv)}" direction="out" />
</method>
<method name="GetProperties">
<arg name="properties" type="as" direction="in" />
<arg name="results" type="a{s(bv)}" direction="out" />
</method>
</interface>
""",
"org.storage.stratis2.Manager.r4": """
<interface name="org.storage.stratis2.Manager.r4">
<method name="ConfigureSimulator">
<arg name="denominator" type="u" direction="in" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="CreatePool">
<arg name="name" type="s" direction="in" />
<arg name="redundancy" type="(bq)" direction="in" />
<arg name="devices" type="as" direction="in" />
<arg name="key_desc" type="(bs)" direction="in" />
<arg name="clevis_info" type="(b(ss))" direction="in" />
<arg name="result" type="(b(oao))" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="DestroyPool">
<arg name="pool" type="o" direction="in" />
<arg name="result" type="(bs)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="EngineStateReport">
<arg name="result" type="s" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="SetKey">
<arg name="key_desc" type="s" direction="in" />
<arg name="key_fd" type="h" direction="in" />
<arg name="interactive" type="b" direction="in" />
<arg name="result" type="(bb)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="UnlockPool">
<arg name="pool_uuid" type="s" direction="in" />
<arg name="unlock_method" type="s" direction="in" />
<arg name="result" type="(bas)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="UnsetKey">
<arg name="key_desc" type="s" direction="in" />
<arg name="result" type="b" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<property name="Version" type="s" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
</interface>
""",
"org.storage.stratis2.Report.r4": """
<interface name="org.storage.stratis2.Report.r4">
<method name="GetReport">
<arg name="name" type="s" direction="in" />
<arg name="result" type="s" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
</interface>
""",
"org.storage.stratis2.blockdev.r4": """
<interface name="org.storage.stratis2.blockdev.r4">
<method name="SetUserInfo">
<arg name="id" type="(bs)" direction="in" />
<arg name="changed" type="(bs)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<property name="Devnode" type="s" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
<property name="HardwareInfo" type="(bs)" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
<property name="InitializationTime" type="t" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
<property name="PhysicalPath" type="s" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
<property name="Pool" type="o" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
<property name="Tier" type="q" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="false" />
</property>
<property name="UserInfo" type="(bs)" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="false" />
</property>
<property name="Uuid" type="s" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
</interface>
""",
"org.storage.stratis2.filesystem.r4": """
<interface name="org.storage.stratis2.filesystem.r4">
<method name="SetName">
<arg name="name" type="s" direction="in" />
<arg name="result" type="(bs)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<property name="Created" type="s" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
<property name="Devnode" type="s" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="invalidates" />
</property>
<property name="Name" type="s" access="read" />
<property name="Pool" type="o" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
<property name="Uuid" type="s" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
</interface>
""",
"org.storage.stratis2.pool.r4": """
<interface name="org.storage.stratis2.pool.r4">
<method name="AddCacheDevs">
<arg name="devices" type="as" direction="in" />
<arg name="results" type="(bao)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="AddDataDevs">
<arg name="devices" type="as" direction="in" />
<arg name="results" type="(bao)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="Bind">
<arg name="pin" type="s" direction="in" />
<arg name="json" type="s" direction="in" />
<arg name="results" type="b" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="BindKeyring">
<arg name="key_desc" type="s" direction="in" />
<arg name="results" type="b" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="CreateFilesystems">
<arg name="specs" type="as" direction="in" />
<arg name="results" type="(ba(os))" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="DestroyFilesystems">
<arg name="filesystems" type="ao" direction="in" />
<arg name="results" type="(bas)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="InitCache">
<arg name="devices" type="as" direction="in" />
<arg name="results" type="(bao)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="SetName">
<arg name="name" type="s" direction="in" />
<arg name="result" type="(bs)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="SnapshotFilesystem">
<arg name="origin" type="o" direction="in" />
<arg name="snapshot_name" type="s" direction="in" />
<arg name="result" type="(bo)" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="Unbind">
<arg name="results" type="b" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<method name="UnbindKeyring">
<arg name="results" type="b" direction="out" />
<arg name="return_code" type="q" direction="out" />
<arg name="return_string" type="s" direction="out" />
</method>
<property name="Encrypted" type="b" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
<property name="Name" type="s" access="read" />
<property name="Uuid" type="s" access="read">
<annotation name="org.freedesktop.DBus.Property.EmitsChangedSignal" value="const" />
</property>
</interface>
""",
}
| 44.757991
| 96
| 0.620894
| 1,170
| 9,802
| 5.155556
| 0.097436
| 0.107924
| 0.090517
| 0.129145
| 0.862732
| 0.840849
| 0.779012
| 0.757792
| 0.743369
| 0.725298
| 0
| 0.002976
| 0.177311
| 9,802
| 218
| 97
| 44.963303
| 0.74504
| 0
| 0
| 0.665138
| 0
| 0.004587
| 0.98735
| 0.165374
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
18d4a602578dad9a6d42fb7245ad0c26d44b6bb2
| 8,149
|
py
|
Python
|
adapt/specificity/tests/test_kmer_shard.py
|
broadinstitute/adapt
|
ae0346dbd8c77fa9bcefbec5358cc750b146474d
|
[
"MIT"
] | 12
|
2020-11-25T21:19:27.000Z
|
2022-03-07T10:55:52.000Z
|
adapt/specificity/tests/test_kmer_shard.py
|
broadinstitute/adapt
|
ae0346dbd8c77fa9bcefbec5358cc750b146474d
|
[
"MIT"
] | 17
|
2020-11-30T15:49:13.000Z
|
2022-03-17T01:12:45.000Z
|
adapt/specificity/tests/test_kmer_shard.py
|
broadinstitute/adapt
|
ae0346dbd8c77fa9bcefbec5358cc750b146474d
|
[
"MIT"
] | 3
|
2021-04-28T13:48:07.000Z
|
2022-01-10T16:51:34.000Z
|
"""Tests for kmer_shard module.
"""
import unittest
from adapt.specificity import kmer_shard
__author__ = 'Hayden Metsky <hayden@mit.edu>'
class TestTrieSpace(unittest.TestCase):
def test_get(self):
# Build and fetch from a trie space
ts = kmer_shard.TrieSpace()
t = ts.get('abc', make=True)
t.insert([('A', 4)])
t = ts.get('abc', make=False)
self.assertEqual(t.query('A') , [4])
self.assertIsNone(ts.get('def', make=False))
class TestSignatureFunctions(unittest.TestCase):
def test_signatures_with_mismatches(self):
self.assertCountEqual(kmer_shard._signatures_with_mismatches('GTG', 0),
['GTG'])
self.assertCountEqual(kmer_shard._signatures_with_mismatches('GTG', 1),
['GTG', 'TTG', 'GGG', 'GTT'])
self.assertCountEqual(kmer_shard._signatures_with_mismatches('GTG', 2),
['GTG', 'TTG', 'GGG', 'GTT', 'TGG', 'TTT', 'GGT'])
def test_full_signature(self):
self.assertEqual(kmer_shard._full_signature('ATCGATCG'),
'GTTGGTTG')
def test_full_signatures_with_mismatches(self):
self.assertCountEqual(
kmer_shard._full_signatures_with_mismatches('ATG', 1),
['GTG', 'TTG', 'GGG', 'GTT'])
def test_split_signature(self):
self.assertEqual(kmer_shard._split_signature('ATCG', 0),
'GT')
self.assertEqual(kmer_shard._split_signature('ATCG', 1),
'TG')
self.assertEqual(kmer_shard._split_signature('ATCGA', 0),
'GTT')
self.assertEqual(kmer_shard._split_signature('ATCGA', 1),
'GG')
def test_split_signatures_with_mismatches(self):
self.assertCountEqual(
kmer_shard._split_signatures_with_mismatches('ATCG', 0, 1),
['GT', 'TT', 'GG'])
self.assertCountEqual(
kmer_shard._split_signatures_with_mismatches('ATCG', 1, 1),
['TG', 'GG', 'TT'])
class TestTrieSpaceOfKmersEvenK(unittest.TestCase):
"""Test TrieSpaceOfKmersFullSig and TrieSpaceOfKmersSplitSig using
k-mers with even length (i.e., k is even).
This is useful to split up because the methods treat even and odd lengths
slightly differently.
"""
def build(self, cls):
# cls is the class to instantiate
tsok = cls()
tsok.add([
('ATCGAT', {(0,1), (0,2), (0,4), (1,1)}),
('ATAAAT', {(0,3), (2,1)})
])
tsok.add([
('GGGGGG', {(3,1), (3,2)}),
('TTCGAT', {(0,5), (1,2)})
])
return tsok
def query_tests(self, tsok):
# Exact matches, no G-U pairing
self.assertEqual(tsok.query('ATCGAT', m=0, gu_pairing=False),
{0: {1,2,4}, 1: {1}})
self.assertEqual(tsok.query('ATAAAT', m=0, gu_pairing=False),
{0: {3}, 2: {1}})
self.assertEqual(tsok.query('GGGGGG', m=0, gu_pairing=False),
{3: {1,2}})
self.assertEqual(tsok.query('TTCGAT', m=0, gu_pairing=False),
{0: {5}, 1: {2}})
self.assertEqual(tsok.query('CCCCCC', m=0, gu_pairing=False),
{})
# Queries 1 mismatch away, no G-U pairing
self.assertEqual(tsok.query('ATCGAT', m=1, gu_pairing=False),
{0: {1,2,4,5}, 1: {1,2}})
self.assertEqual(tsok.query('GGTGGG', m=1, gu_pairing=False),
{3: {1,2}})
self.assertEqual(tsok.query('GGTTGG', m=1, gu_pairing=False),
{})
# Exact matches, with G-U pairing
self.assertEqual(tsok.query('ACCGAT', m=0, gu_pairing=True),
{0: {1,2,4}, 1: {1}})
self.assertEqual(tsok.query('ACCAAT', m=0, gu_pairing=True),
{0: {1,2,4}, 1: {1}})
self.assertEqual(tsok.query('AAAAAA', m=0, gu_pairing=True),
{3: {1,2}})
# Queries 1 mismatch away, with G-U pairing
self.assertEqual(tsok.query('ACCGAT', m=1, gu_pairing=True),
{0: {1,2,4,5}, 1: {1,2}})
self.assertEqual(tsok.query('GGTGGA', m=1, gu_pairing=True),
{3: {1,2}})
self.assertEqual(tsok.query('GGTTGG', m=1, gu_pairing=True),
{})
self.assertEqual(tsok.query('ACATAT', m=1, gu_pairing=True),
{0: {3}, 2: {1}})
self.assertEqual(tsok.query('AAATAT', m=1, gu_pairing=True),
{})
# 6 mismatches away should yield all results
self.assertEqual(tsok.query('AAAAAA', m=6, gu_pairing=False),
{0: {1,2,3,4,5}, 1: {1,2}, 2: {1}, 3: {1,2}})
self.assertEqual(tsok.query('AAAAAA', m=6, gu_pairing=True),
{0: {1,2,3,4,5}, 1: {1,2}, 2: {1}, 3: {1,2}})
def test_with_full_signatures(self):
tsok = self.build(kmer_shard.TrieSpaceOfKmersFullSig)
self.query_tests(tsok)
def test_with_split_signatures(self):
tsok = self.build(kmer_shard.TrieSpaceOfKmersSplitSig)
self.query_tests(tsok)
class TestTrieSpaceOfKmersOddK(unittest.TestCase):
"""Test TrieSpaceOfKmersFullSig and TrieSpaceOfKmersSplitSig using
k-mers with odd length (i.e., k is odd).
This is useful to split up because the methods treat even and odd lengths
slightly differently.
"""
# TODO make these k-mers be odd length
def build(self, cls):
# cls is the class to instantiate
tsok = cls()
tsok.add([
('ATCGAT', {(0,1), (0,2), (0,4), (1,1)}),
('ATAAAT', {(0,3), (2,1)})
])
tsok.add([
('GGGGGG', {(3,1), (3,2)}),
('TTCGAT', {(0,5), (1,2)})
])
return tsok
def query_tests(self, tsok):
# Exact matches, no G-U pairing
self.assertEqual(tsok.query('ATCGAT', m=0, gu_pairing=False),
{0: {1,2,4}, 1: {1}})
self.assertEqual(tsok.query('ATAAAT', m=0, gu_pairing=False),
{0: {3}, 2: {1}})
self.assertEqual(tsok.query('GGGGGG', m=0, gu_pairing=False),
{3: {1,2}})
self.assertEqual(tsok.query('TTCGAT', m=0, gu_pairing=False),
{0: {5}, 1: {2}})
self.assertEqual(tsok.query('CCCCCC', m=0, gu_pairing=False),
{})
# Queries 1 mismatch away, no G-U pairing
self.assertEqual(tsok.query('ATCGAT', m=1, gu_pairing=False),
{0: {1,2,4,5}, 1: {1,2}})
self.assertEqual(tsok.query('GGTGGG', m=1, gu_pairing=False),
{3: {1,2}})
self.assertEqual(tsok.query('GGTTGG', m=1, gu_pairing=False),
{})
# Exact matches, with G-U pairing
self.assertEqual(tsok.query('ACCGAT', m=0, gu_pairing=True),
{0: {1,2,4}, 1: {1}})
self.assertEqual(tsok.query('ACCAAT', m=0, gu_pairing=True),
{0: {1,2,4}, 1: {1}})
self.assertEqual(tsok.query('AAAAAA', m=0, gu_pairing=True),
{3: {1,2}})
# Queries 1 mismatch away, with G-U pairing
self.assertEqual(tsok.query('ACCGAT', m=1, gu_pairing=True),
{0: {1,2,4,5}, 1: {1,2}})
self.assertEqual(tsok.query('GGTGGA', m=1, gu_pairing=True),
{3: {1,2}})
self.assertEqual(tsok.query('GGTTGG', m=1, gu_pairing=True),
{})
self.assertEqual(tsok.query('ACATAT', m=1, gu_pairing=True),
{0: {3}, 2: {1}})
self.assertEqual(tsok.query('AAATAT', m=1, gu_pairing=True),
{})
# 6 mismatches away should yield all results
self.assertEqual(tsok.query('AAAAAA', m=6, gu_pairing=False),
{0: {1,2,3,4,5}, 1: {1,2}, 2: {1}, 3: {1,2}})
self.assertEqual(tsok.query('AAAAAA', m=6, gu_pairing=True),
{0: {1,2,3,4,5}, 1: {1,2}, 2: {1}, 3: {1,2}})
def test_with_full_signatures(self):
tsok = self.build(kmer_shard.TrieSpaceOfKmersFullSig)
self.query_tests(tsok)
def test_with_split_signatures(self):
tsok = self.build(kmer_shard.TrieSpaceOfKmersSplitSig)
self.query_tests(tsok)
| 37.902326
| 79
| 0.550252
| 1,064
| 8,149
| 4.098684
| 0.12218
| 0.144462
| 0.156845
| 0.19812
| 0.866086
| 0.849117
| 0.837652
| 0.79867
| 0.734235
| 0.705801
| 0
| 0.045812
| 0.282121
| 8,149
| 214
| 80
| 38.079439
| 0.699658
| 0.115842
| 0
| 0.743421
| 0
| 0
| 0.059936
| 0
| 0
| 0
| 0
| 0.004673
| 0.322368
| 1
| 0.092105
| false
| 0
| 0.013158
| 0
| 0.144737
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
7a198d30aceb8dfff7966ad00c565f659e7555fc
| 262
|
py
|
Python
|
Lib/site-packages/QtModularUiPack/ViewModels/__init__.py
|
fochoao/cpython
|
3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9
|
[
"bzip2-1.0.6",
"0BSD"
] | 3
|
2019-11-11T12:09:23.000Z
|
2022-02-17T10:02:55.000Z
|
QtModularUiPack/ViewModels/__init__.py
|
dowerner/QtModularUiPack
|
de2ce6ba3a1cd52ca00eaea3ea3bb2247fe76ba3
|
[
"Apache-2.0"
] | 20
|
2021-05-03T18:02:23.000Z
|
2022-03-12T12:01:04.000Z
|
Lib/site-packages/QtModularUiPack/ViewModels/__init__.py
|
fochoao/cpython
|
3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9
|
[
"bzip2-1.0.6",
"0BSD"
] | 2
|
2019-11-11T12:09:31.000Z
|
2019-11-11T12:09:42.000Z
|
from QtModularUiPack.ViewModels.base_view_model import BaseViewModel
from QtModularUiPack.ViewModels.base_context_aware_view_model import BaseContextAwareViewModel
from QtModularUiPack.ViewModels.modular_application_view_model import ModularApplicationViewModel
| 65.5
| 97
| 0.931298
| 27
| 262
| 8.703704
| 0.518519
| 0.242553
| 0.370213
| 0.280851
| 0
| 0
| 0
| 0
| 0
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| 87.333333
| 0.94
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| null | 1
| 1
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0
| 7
|
e13407f896a39ce16b0a24ee0e9c32433b961a49
| 46,730
|
py
|
Python
|
src-el/articulation.py
|
EulerProject/EulerX
|
49e63e6a27be97ab30832180a47d214494388e15
|
[
"MIT"
] | 15
|
2016-02-17T20:48:29.000Z
|
2021-03-05T20:38:05.000Z
|
src-el/articulation.py
|
eddy7896/EulerX
|
49e63e6a27be97ab30832180a47d214494388e15
|
[
"MIT"
] | 16
|
2015-02-05T18:38:48.000Z
|
2021-06-14T11:38:36.000Z
|
src-el/articulation.py
|
eddy7896/EulerX
|
49e63e6a27be97ab30832180a47d214494388e15
|
[
"MIT"
] | 4
|
2016-01-26T03:24:52.000Z
|
2020-01-09T07:57:15.000Z
|
# Copyright (c) 2014 University of California, Davis
#
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import re
import copy
import commands
from relations import *
from taxonomy2 import *
from helper2 import *
class Articulation:
def __init__(self, initInput="", mapping=None):
self.string = initInput
self.numTaxon = 2
self.confidence = 2
self.relations = 0
self.sumLabel = False
if (initInput == ""):
self.taxon1 = Taxon()
self.taxon2 = Taxon()
self.taxon3 = Taxon()
self.taxon4 = Taxon()
self.taxon5 = Taxon()
return None
# Parsing begins here
if (initInput.find("confidence=") != -1):
elements = re.match("(.*) confidence=(.*)", initInput)
initInput = elements.group(1)
self.confidence = int(elements.group(2))
if (initInput.find("lsum ") != -1 or initInput.find("l3sum ") != -1 or\
initInput.find("l4sum ") != -1 or initInput.find("rsum ") != -1 or\
initInput.find("r3sum ") != -1 or initInput.find("r4sum ") != -1 or\
initInput.find("ldiff ") != -1 or initInput.find("rdiff ") != -1 or
initInput.find("e4sum") != -1 or initInput.find("i4sum") != -1):
self.sumLabel = True
if self.sumLabel:
if (initInput.find("lsum") != -1):
self.relations = relation["+="]
elements = re.match("(.*)\.(.*) (.*)\.(.*) lsum (.*)\.(.*)", initInput)
elif (initInput.find("l3sum") != -1):
self.relations = relation["+3="]
elements = re.match("(.*)\.(.*) (.*)\.(.*) (.*)\.(.*) l3sum (.*)\.(.*)", initInput)
elif (initInput.find("l4sum") != -1):
self.relations = relation["+4="]
elements = re.match("(.*)\.(.*) (.*)\.(.*) (.*)\.(.*) (.*)\.(.*) l4sum (.*)\.(.*)", initInput)
elif (initInput.find("rsum") != -1):
self.relations = relation["=+"]
elements = re.match("(.*)\.(.*) rsum (.*)\.(.*) (.*)\.(.*)", initInput)
elif (initInput.find("r3sum") != -1):
self.relations = relation["=3+"]
elements = re.match("(.*)\.(.*) r3sum (.*)\.(.*) (.*)\.(.*) (.*)\.(.*)", initInput)
elif (initInput.find("r4sum") != -1):
self.relations = relation["=4+"]
elements = re.match("(.*)\.(.*) r4sum (.*)\.(.*) (.*)\.(.*) (.*)\.(.*) (.*)\.(.*)", initInput)
elif (initInput.find("ldiff") != -1):
self.relations = relation["-="]
elements = re.match("(.*)\.(.*) (.*)\.(.*) ldiff (.*)\.(.*)", initInput)
elif (initInput.find("rdiff") != -1):
self.relations = relation["=-"]
elements = re.match("(.*)\.(.*) rdiff (.*)\.(.*) (.*)\.(.*)", initInput)
elif (initInput.find("e4sum") != -1):
self.relations = 0 #[relationDict["+=+"]]
elements = re.match("(.*)\.(.*) (.*)\.(.*) e4sum (.*)\.(.*) (.*)\.(.*)", initInput)
elif (initInput.find("i4sum") != -1):
self.relations = 0 #[relationDict["+<=+"]]
elements = re.match("(.*)\.(.*) (.*)\.(.*) i4sum (.*)\.(.*) (.*)\.(.*)", initInput)
else:
raise Exception("Syntax error in \""+initInput+"\"!!")
taxon1taxonomy = elements.group(1).strip()
taxon1taxon = elements.group(2).strip()
taxon2taxonomy = elements.group(3).strip()
taxon2taxon = elements.group(4).strip()
taxon3taxonomy = elements.group(5).strip()
taxon3taxon = elements.group(6).strip()
self.taxon1 = mapping.getTaxon(taxon1taxonomy, taxon1taxon)
self.taxon2 = mapping.getTaxon(taxon2taxonomy, taxon2taxon)
self.taxon3 = mapping.getTaxon(taxon3taxonomy, taxon3taxon)
self.numTaxon = 3
if(initInput.find("e4sum") != -1 or initInput.find("i4sum") != -1 or initInput.find("l3sum") != -1 or initInput.find("r3sum") != -1):
taxon4taxonomy = elements.group(7)
taxon4taxon = elements.group(8)
self.taxon4 = mapping.getTaxon(taxon4taxonomy, taxon4taxon)
self.numTaxon = 4
if(initInput.find("l4sum") != -1 or initInput.find("r4sum") != -1):
taxon4taxonomy = elements.group(7)
taxon4taxon = elements.group(8)
self.taxon4 = mapping.getTaxon(taxon4taxonomy, taxon4taxon)
taxon5taxonomy = elements.group(9)
taxon5taxon = elements.group(10)
self.taxon5 = mapping.getTaxon(taxon5taxonomy, taxon5taxon)
self.numTaxon = 5
else:
## initInput is of form b48.a equals k04.a
self.relation = 0
if (initInput.find("{") != -1):
elements = re.match("(.*)\.(\S*)\s*{(.*)}\s*(\S*)\.(.*)", initInput)
else:
elements = re.match("(.*)\.(\S*)\s*(\S*)\s*(\S*)\.(.*)", initInput)
if elements is None:
raise Exception("Syntax error in \""+initInput+"\"!!")
taxon1taxonomy = elements.group(1).strip()
taxon1taxon = elements.group(2).strip()
relString = elements.group(3).strip()
taxon2taxonomy = elements.group(4).strip()
taxon2taxon = elements.group(5).strip()
if (relString.find(" ") != -1):
if (relation.has_key(relString)):
self.relations = rcc5[relString]
else:
relElements = re.split("\s+", relString)
for rel in relElements:
self.relations |= rcc5[rel]
else:
self.relations = rcc5[relString]
self.taxon1 = mapping.getTaxon(taxon1taxonomy, taxon1taxon)
self.taxon2 = mapping.getTaxon(taxon2taxonomy, taxon2taxon)
def toRCCASP(self, align, rnr):
name1 = self.taxon1.dlvName()
name2 = self.taxon2.dlvName()
relpreds = []
if reasoner[rnr] == reasoner["rccdlv"]:
disjunctive = " v "
elif reasoner[rnr] == reasoner["rccclingo"]:
disjunctive = " ; "
result = ""
if self.relations & rcc5["equals"]:
relpreds.append("eq")
if self.relations & rcc5["is_included_in"]:
relpreds.append("pp")
if self.relations & rcc5["includes"]:
relpreds.append("pi")
if self.relations & rcc5["disjoint"]:
relpreds.append("dr")
if self.relations & rcc5["overlaps"]:
relpreds.append("po")
for relpred in relpreds:
result += relpred + "(" + name1 + ", " + name2 + ")"
result += disjunctive
result = result[:-3] + ".\n"
return result
def toShawnASP(self, align, rnr):
name1 = self.taxon1.dlvName()
name2 = self.taxon2.dlvName()
relpreds = ""
# if reasoner[rnr] == reasoner["rcctt"]:
# disjunctive = " v "
# elif reasoner[rnr] == reasoner["rccclingo"]:
# disjunctive = " ; "
result = ""
# order : dr eq pi po pp
if self.relations & rcc5["disjoint"]:
relpreds += "dr"
if self.relations & rcc5["equals"]:
relpreds += "eq"
if self.relations & rcc5["includes"]:
relpreds += "pi"
if self.relations & rcc5["overlaps"]:
relpreds += "po"
if self.relations & rcc5["is_included_in"]:
relpreds += "pp"
result = "r(" + relpreds + ", " + name1 + ", " + name2 + ").\n"
return result
def toASP(self, enc, rnr, align):
result = ""
name1 = self.taxon1.dlvName()
name2 = self.taxon2.dlvName()
disjointSymbol = "v" if reasoner[rnr] == reasoner["dlv"] else ";"
twoPredFormat = ":- {}, {}.\n"
threePredFormat = ":- {}, {}, {}.\n"
if encode[enc] & encode["vr"] or encode[enc] & encode["dl"] or encode[enc] & encode["mn"]:
if self.relations == rcc5["equals"]:
result = "ir(X, r" + self.ruleNum.__str__() + ") :- out(" + name1 + ",X), in(" + name2 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name2 + ",X).\n"
result += "ir(X, prod(r" + self.ruleNum.__str__() + ",R)) :- out3(" + name1 + ", X, R), in(" + name2 + ",X), ix.\n"
result += "ir(X, prod(r" + self.ruleNum.__str__() + ",R)) :- in(" + name1 + ",X), out3(" + name2 + ", X, R), ix.\n"
result += AggregationRule(firstVar=name1, secondVar=name2).rule
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
elif self.relations == rcc5["includes"]:
result = "ir(X, r" + self.ruleNum.__str__() + ") :- out(" + name1 + ",X), in(" + name2 + ",X), pw.\n"
result += "ir(X, prod(r" + self.ruleNum.__str__() + ",R)) :- out3(" + name1 + ", X, R), in(" + name2 + ",X), ix.\n"
result += AggregationRule(firstVar=name1, secondVar=name2).rule
result += AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False).rule
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), in(" + name1 + ", X), out(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), in(" + name1 + ", X), out(" + name2 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 2) :- ir(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 2) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
elif self.relations == rcc5["is_included_in"]:
result = AggregationRule(firstVar=name1, secondVar=name2).rule
result += AggregationRule(firstVar=name1, secondVar=name2, firstPredIsIn=False).rule
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name2 + ",X), pw.\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 2) :- ir(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 2) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
elif self.relations == rcc5["disjoint"]:
result = AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False).rule
result += AggregationRule(firstVar=name1, secondVar=name2, firstPredIsIn=False).rule
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 2) :- ir(X, A), in(" + name1 + ", X), out(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 2) :- vr(X, A), in(" + name1 + ", X), out(" + name2 + ", X), ix.\n\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), in(" + name2 + ",X).\n"
elif self.relations == rcc5["overlaps"]:
result = AggregationRule(firstVar=name1, secondVar=name2).rule
result += AggregationRule(firstVar=name1, secondVar=name2, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False).rule
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 2) :- ir(X, A), in(" + name1 + ", X), out(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 2) :- vr(X, A), in(" + name1 + ", X), out(" + name2 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 3) :- ir(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 3) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
elif self.relations == (rcc5["equals"] | rcc5["disjoint"]):
if reasoner[rnr] == reasoner["dlv"]:
result = ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0, #count{Y: vrs(Y), in(" + name1 +", Y), in(" + name2 + ", Y)} = 0, #count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} = 0.\n\n"
result += ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0, #count{Y: vrs(Y), in(" + name1 +", Y), in(" + name2 + ", Y)} = 0, #count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} > 0.\n\n"
result += ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0, #count{Y: vrs(Y), in(" + name1 +", Y), in(" + name2 + ", Y)} > 0, #count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} > 0.\n\n"
result += ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0, #count{Y: vrs(Y), in(" + name1 +", Y), in(" + name2 + ", Y)} = 0, #count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} = 0.\n\n"
result += ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0, #count{Y: vrs(Y), in(" + name1 +", Y), in(" + name2 + ", Y)} > 0, #count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} = 0.\n\n"
result += ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0, #count{Y: vrs(Y), in(" + name1 +", Y), in(" + name2 + ", Y)} > 0, #count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} > 0.\n\n"
elif reasoner[rnr] == reasoner["clingo"]:
## TODO
result = ""
elif self.relations == (rcc5["equals"] | rcc5["is_included_in"]):
result = "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name2 + ",X).\n"
result += "ir(X, prod(r" + self.ruleNum.__str__() + ",R)) :- in(" + name1 + ",X), out3(" + name2 + ", X, R), ix.\n"
result += AggregationRule(firstVar=name1, secondVar=name2).rule
result += "vr(X, r" + self.ruleNum.__str__() + ") " + disjointSymbol + " ir(X, r" + self.ruleNum.__str__() + ") :- out(" + name1 + ",X), in(" + name2 + ",X).\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
elif self.relations == (rcc5["equals"] | rcc5["includes"]):
result = "ir(X, r" + self.ruleNum.__str__() + ") :- out(" + name1 + ",X), in(" + name2 + ",X).\n"
result += "ir(X, prod(r" + self.ruleNum.__str__() + ",R)) :- out3(" + name1 + ", X, R), in(" + name2 + ",X), ix.\n"
result += "vr(X, r" + self.ruleNum.__str__() + ") " + disjointSymbol + " ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name2 + ",X).\n"
result += AggregationRule(firstVar=name1, secondVar=name2).rule
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
elif self.relations == (rcc5["is_included_in"] | rcc5["includes"]):
result = "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name2 + ",X), vr(Y, _), in(" + name2 + ",Y), out(" + name1 + ",Y).\n"
aggrExpression = AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False, addPW=False, lowerBound="0 < ", isConstraint=False).rule
result += "ir(Y, r" + self.ruleNum.__str__() + ") :- " + aggrExpression + ", in(" + name2 + ",Y), out(" + name1 + ",Y).\n"
elif self.relations == (rcc5["disjoint"] | rcc5["overlaps"]):
result = "ir(X, r" + self.ruleNum.__str__() + ") " + disjointSymbol + " (X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), in(" + name2 + ",X).\n"
result += AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False).rule
elif self.relations == (rcc5["equals"] | rcc5["overlaps"]):
firstRule = AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False, lowerBound="0 < ", isConstraint=False, addPW=False).rule
secondRule = AggregationRule(firstVar=name2, secondVar=name1, secondPredIsIn=False, isConstraint=False, variableName="Y").rule
result = twoPredFormat.format(firstRule, secondRule)
firstRule = AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False, isConstraint=False, addPW=False).rule
secondRule = AggregationRule(firstVar=name2, secondVar=name1, secondPredIsIn=False, lowerBound="0 < ", isConstraint=False, addPW=False, variableName="Y").rule
result += twoPredFormat.format(firstRule, secondRule)
result += AggregationRule(firstVar=name1, secondVar=name2).rule
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), in(" + name2 + ", X), out(" + name1 + ", X), #count{Y: vr(Y, _), in(" + name1 + ",Y), out(" + name2 + ",Y)} > 0, ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), in(" + name1 + ", X), out(" + name2 + ", X), #count{Y: vr(Y, _), in(" + name2 + ",Y), out(" + name1 + ",Y)} > 0, ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 2) :- ir(X, A), in(" + name1 + ", X), out(" + name2 + ", X), #count{Y: vr(Y, _), in(" + name2 + ",Y), out(" + name1 + ",Y)} > 0, ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 2) :- vr(X, A), in(" + name1 + ", X), out(" + name2 + ", X), #count{Y: vr(Y, _), in(" + name2 + ",Y), out(" + name1 + ",Y)} > 0, ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 3) :- ir(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 3) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
elif self.relations == (rcc5["is_included_in"] | rcc5["overlaps"]):
result = "vr(X, r" + self.ruleNum.__str__() + ") " + disjointSymbol + " ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name2 + ",X).\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 2) :- ir(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 2) :- vr(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
result += AggregationRule(firstVar=name1, secondVar=name2).rule
result += AggregationRule(firstVar=name1, secondVar=name2, firstPredIsIn=False).rule
elif self.relations == (rcc5["is_included_in"] | rcc5["disjoint"]):
result = AggregationRule(firstVar=name1, secondVar=name2, firstPredIsIn=False).rule
firstRule = AggregationRule(firstVar=name1, secondVar=name2, lowerBound="0 < ", isConstraint=False, addPW=False).rule
secondRule = AggregationRule(firstVar=name2, secondVar=name1, firstPredIsIn=False, lowerBound="0 < ", isConstraint=False, variableName="Y").rule
result += twoPredFormat.format(firstRule, secondRule)
firstRule = AggregationRule(firstVar=name1, secondVar=name2, isConstraint=False, addPW=False).rule
secondRule = AggregationRule(firstVar=name2, secondVar=name1, firstPredIsIn=False, isConstraint=False, variableName="Y").rule
result += twoPredFormat.format(firstRule, secondRule)
elif self.relations == (rcc5["includes"] | rcc5["overlaps"]):
result += "vrs(X) " + disjointSymbol + " irs(X) :- out(" + name1 + ",X), in(" + name2 + ",X), pw.\n"
result += AggregationRule(firstVar=name1, secondVar=name2).rule
result += AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False).rule
elif self.relations == (rcc5["includes"] | rcc5["disjoint"]):
result += AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False).rule
firstRule = AggregationRule(firstVar=name1, secondVar=name2, lowerBound="0 < ", isConstraint=False,
addPW=False).rule
secondRule = AggregationRule(firstVar=name2, secondVar=name1, secondPredIsIn=False, lowerBound="0 < ",
isConstraint=False, variableName="Y").rule
result += twoPredFormat.format(firstRule, secondRule)
firstRule = AggregationRule(firstVar=name1, secondVar=name2, isConstraint=False, addPW=False).rule
secondRule = AggregationRule(firstVar=name2, secondVar=name1, secondPredIsIn=False,
isConstraint=False, variableName="Y").rule
result += twoPredFormat.format(firstRule, secondRule)
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), in(" + name1 + ", X), out(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), in(" + name1 + ", X), out(" + name2 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", prod(A, B), 2) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), vr(Y, B), in("+ name2 + ",Y), out(" + name1 + ",Y), ix.\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 3) :- ir(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 3) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 3) :- vr(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
elif self.relations == (rcc5["includes"] | rcc5["is_included_in"] | rcc5["equals"]):
result += "vr(X, r" + self.ruleNum.__str__() + ") " + disjointSymbol + " ir(X, r" + self.ruleNum.__str__() + ") :- out(" + name1 + ",X), in(" + name2 + ",X).\n"
result += "vr(X, r" + self.ruleNum.__str__() + ") " + disjointSymbol + " ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name2 + ",X).\n"
firstRule = AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False, lowerBound="0 < ", isConstraint=False, addPW=False).rule
secondRule = AggregationRule(firstVar=name1, secondVar=name2, firstPredIsIn=False, lowerBound="0 < ", isConstraint=False, addPW=False, variableName="Y").rule
result += twoPredFormat.format(firstRule, secondRule)
result += AggregationRule(firstVar=name1, secondVar=name2).rule + "\n"
elif self.relations == (rcc5["is_included_in"] | rcc5["equals"] | rcc5["overlaps"]):
firstRule = AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False, lowerBound="0 < ",
isConstraint=False, addPW=False).rule
secondRule = AggregationRule(firstVar=name1, secondVar=name2, firstPredIsIn=False,
isConstraint=False, addPW=False, variableName="Y").rule
result += twoPredFormat.format(firstRule, secondRule)
result += AggregationRule(firstVar=name1, secondVar=name2).rule + "\n"
elif self.relations == (rcc5["includes"] | rcc5["equals"] | rcc5["overlaps"]):
firstRule = AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False,
isConstraint=False, addPW=False).rule
secondRule = AggregationRule(firstVar=name1, secondVar=name2, firstPredIsIn=False, lowerBound="0 < ",
isConstraint=False, addPW=False, variableName="Y").rule
result += twoPredFormat.format(firstRule, secondRule)
result += AggregationRule(firstVar=name1, secondVar=name2).rule + "\n"
elif self.relations == (rcc5["equals"] | rcc5["includes"] | rcc5["disjoint"]):
if reasoner[rnr] == reasoner["dlv"]:
result += ":- #count{X: vrs(X), out(" + name1 + ", X), in(" + name2 + ", X)} = 0, #count{Y: vrs(Y), in(" + name1 +", Y), in(" + name2 + ", Y)} = 0.\n"
result += ":- #count{X: vrs(X), out(" + name1 + ", X), in(" + name2 + ", X)} > 0, #count{Y: vrs(Y), in(" + name1 +", Y), in(" + name2 + ", Y)} > 0.\n"
result += ":- #count{X: vrs(X), out(" + name1 + ", X), in(" + name2 + ", X)} > 0, #count{Y: vrs(Y), in(" + name1 +", Y), in(" + name2 + ", Y)} = 0, #count{Z: vrs(Z), in(" + name1 + ", Z), out(" + name2 + ", Z)} = 0.\n\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["equals"] | rcc5["is_included_in"] | rcc5["disjoint"]):
if reasoner[rnr] == reasoner["dlv"]:
result += ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0, #count{Y:vrs(Y), in(" + name1 + ", Y), in(" + name2 + ", Y)} = 0.\n"
result += ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0, #count{Y:vrs(Y), in(" + name1 + ", Y), in(" + name2 + ", Y)} > 0.\n"
result += ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0, #count{Y:vrs(Y), in(" + name1 + ", Y), in(" + name2 + ", Y)} = 0, #count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} = 0.\n\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["includes"] | rcc5["is_included_in"] | rcc5["overlaps"]):
firstRule = AggregationRule(firstVar=name1, secondVar=name2, secondPredIsIn=False,
isConstraint=False, addPW=False).rule
secondRule = AggregationRule(firstVar=name1, secondVar=name2, firstPredIsIn=False,
isConstraint=False, addPW=False, variableName="Y").rule
thirdRule = AggregationRule(firstVar=name1, secondVar=name2, lowerBound="0 < ",
isConstraint=False, addPW=False, variableName="Z").rule
result += threePredFormat.format(firstRule, secondRule, thirdRule)
result += AggregationRule(firstVar=name1, secondVar=name2).rule + "\n"
elif self.relations == (rcc5["disjoint"] | rcc5["equals"] | rcc5["overlaps"]):
if reasoner[rnr] == reasoner["dlv"]:
result = ":- #count{X : vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0, #count{Y : vrs(Y), out(" + name1 + ", Y ), in(" + name2 + ", Y )} = 0.\n"
result += ":- #count{X : vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0, #count{Y : vrs(Y), out(" + name1 + ", Y ), in(" + name2 + ", Y )} > 0.\n"
result += ":- #count{X : vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0, #count{Y : vrs(Y), in(" + name1 + ", Y ), in(" + name2 + ", Y )} = 0, #count{Z : vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} = 0.\n\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["disjoint"] | rcc5["is_included_in"] | rcc5["overlaps"]):
if reasoner[rnr] == reasoner["dlv"]:
result = ":- #count{X : vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0, #count{Y: vrs(Y), out(" + name1 + ", Y), in(" + name2 + ", Y)} = 0.\n"\
":- #count{X : vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0, #count{Y: vrs(Y), in(" + name1 + ", Y), in(" + name2 + ", Y)} > 0, #count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} = 0.\n\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["includes"] | rcc5["disjoint"] | rcc5["overlaps"]):
if reasoner[rnr] == reasoner["dlv"]:
result = ":- #count{X : vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0, #count{Y : vrs(Y ), out(" + name1 + ", Y), in(" + name2 + ", Y )} = 0.\n"\
":- #count{X : vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0, #count{Y : vrs(Y), in(" + name1 + ", Y), in(" + name2 + ", Y )} > 0, #count{Z : vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} > 0.\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["includes"] | rcc5["is_included_in"] | rcc5["disjoint"]):
if reasoner[rnr] == reasoner["dlv"]:
result = ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0, #count{Y: vrs(Y), out(" + name1 + ", Y), in(" + name2 + ", Y)} = 0.\n"\
":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0, #count{Y: vrs(Y), in(" + name1 + ", Y), in(" + name2 + ", Y)} > 0, #count{Z : vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} > 0.\n\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["includes"] | rcc5["is_included_in"] | rcc5["overlaps"] | rcc5["equals"]):
if reasoner[rnr] == reasoner["dlv"]:
result = ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0,"\
"#count{Y: vrs(Y), in(" + name1 + ", Y), in(" + name2 + ", Y)} = 0,"\
"#count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} > 0.\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["disjoint"] | rcc5["is_included_in"] | rcc5["overlaps"] | rcc5["equals"]):
if reasoner[rnr] == reasoner["dlv"]:
result = ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0,"\
"#count{Y: vrs(Y), in(" + name1 + ", Y), in(" + name2 + ", Y)} > 0,"\
"#count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} = 0.\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["includes"] | rcc5["disjoint"] | rcc5["overlaps"] | rcc5["equals"]):
if reasoner[rnr] == reasoner["dlv"]:
result = ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0,"\
"#count{Y: vrs(Y), in(" + name1 + ", Y), in(" + name2 + ", Y)} > 0,"\
"#count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} > 0.\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["includes"] | rcc5["is_included_in"] | rcc5["disjoint"] | rcc5["equals"]):
if reasoner[rnr] == reasoner["dlv"]:
result = ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} > 0,"\
"#count{Y: vrs(Y), in(" + name1 + ", Y), in(" + name2 + ", Y)} > 0,"\
"#count{Z: vrs(Z), out(" + name1 + ", Z), in(" + name2 + ", Z)} > 0.\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["includes"] | rcc5["is_included_in"] | rcc5["overlaps"] | rcc5["disjoint"]):
if reasoner[rnr] == reasoner["dlv"]:
result = ":- #count{X: vrs(X), in(" + name1 + ", X), out(" + name2 + ", X)} = 0,"\
"#count{Y: vrs(Y), out(" + name1 + ", Y), in(" + name2 + ", Y)} = 0.\n"
elif reasoner[rnr] == reasoner["clingo"]:
# TODO
result = ""
elif self.relations == (rcc5["equals"] | rcc5["includes"] | rcc5["is_included_in"] | rcc5["overlaps"] | rcc5["disjoint"]):
result = ""
elif self.relations == relation["+="]: # lsum
name3 = self.taxon3.dlvName()
result = AggregationRule(firstVar=name1, secondVar=name3, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name1, secondVar=name3).rule
result += AggregationRule(firstVar=name2, secondVar=name3, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name2, secondVar=name3).rule
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), out(" + name1 + ", X), in(" + name3 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), out(" + name1 + ", X), in(" + name3 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 2) :- ir(X, A), in(" + name1 + ", X), in(" + name3 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 2) :- vr(X, A), in(" + name1 + ", X), in(" + name3 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 3) :- ir(X, A), out(" + name2 + ", X), in(" + name3 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 3) :- vr(X, A), out(" + name2 + ", X), in(" + name3 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 4) :- ir(X, A), in(" + name2 + ", X), in(" + name3 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 4) :- vr(X, A), in(" + name2 + ", X), in(" + name3 + ", X), ix.\n\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name3 + ",X), pw.\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name2 + ",X), out(" + name3 + ",X), pw.\n"
elif self.relations == relation["=-"]: # rdiff
name3 = self.taxon3.dlvName()
result = AggregationRule(firstVar=name1, secondVar=name2, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name1, secondVar=name2).rule
result += AggregationRule(firstVar=name3, secondVar=name2, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name3, secondVar=name2).rule
result += "pie(r" + self.ruleNum.__str__() + ", A, 1) :- ir(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 1) :- vr(X, A), out(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 2) :- ir(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 2) :- vr(X, A), in(" + name1 + ", X), in(" + name2 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 3) :- ir(X, A), out(" + name3 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 3) :- vr(X, A), out(" + name3 + ", X), in(" + name2 + ", X), ix.\n\n"
result += "pie(r" + self.ruleNum.__str__() + ", A, 4) :- ir(X, A), in(" + name3 + ", X), in(" + name2 + ", X), ix.\n"
result += "c(r" + self.ruleNum.__str__() + ", A, 4) :- vr(X, A), in(" + name3 + ", X), in(" + name2 + ", X), ix.\n\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name2 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name3 + ",X), out(" + name2 + ",X).\n"
elif self.relations == relation["+3="]:
name3 = self.taxon3.dlvName()
name4 = self.taxon4.dlvName()
result = AggregationRule(firstVar=name1, secondVar=name4, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name1, secondVar=name4).rule
result += AggregationRule(firstVar=name2, secondVar=name4, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name2, secondVar=name4).rule
result += AggregationRule(firstVar=name3, secondVar=name4, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name3, secondVar=name4).rule
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name4 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name2 + ",X), out(" + name4 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name3 + ",X), out(" + name4 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- out(" +name1 + ",X), out(" + name2 + ",X),\
out(" + name3 + ",X), in(" + name4 + ",X).\n"
elif self.relations == relation["+4="]:
name3 = self.taxon3.dlvName()
name4 = self.taxon4.dlvName()
name5 = self.taxon5.dlvName()
result = AggregationRule(firstVar=name1, secondVar=name5, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name1, secondVar=name5).rule
result += AggregationRule(firstVar=name2, secondVar=name5, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name2, secondVar=name5).rule
result += AggregationRule(firstVar=name3, secondVar=name5, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name3, secondVar=name5).rule
result += AggregationRule(firstVar=name4, secondVar=name5, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name4, secondVar=name5).rule
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name1 + ",X), out(" + name5 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name2 + ",X), out(" + name5 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name3 + ",X), out(" + name5 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name4 + ",X), out(" + name5 + ",X).\n"
elif self.relations == relation["=+"] or self.relations == relation["-="]: # rsum and ldiff
name3 = self.taxon3.dlvName()
result = AggregationRule(firstVar=name2, secondVar=name1, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name2, secondVar=name1).rule
result += AggregationRule(firstVar=name3, secondVar=name1, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name3, secondVar=name1).rule
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name2 + ",X), out(" + name1 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name3 + ",X), out(" + name1 + ",X).\n"
elif self.relations == relation["=3+"]:
name3 = self.taxon3.dlvName()
name4 = self.taxon4.dlvName()
result = AggregationRule(firstVar=name2, secondVar=name1, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name2, secondVar=name1).rule
result += AggregationRule(firstVar=name3, secondVar=name1, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name3, secondVar=name1).rule
result += AggregationRule(firstVar=name4, secondVar=name1, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name4, secondVar=name1).rule
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name2 + ",X), out(" + name1 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name3 + ",X), out(" + name1 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name4 + ",X), out(" + name1 + ",X).\n"
elif self.relations == relation["=4+"]:
name3 = self.taxon3.dlvName()
name4 = self.taxon4.dlvName()
name5 = self.taxon5.dlvName()
result = AggregationRule(firstVar=name2, secondVar=name1, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name2, secondVar=name1).rule
result += AggregationRule(firstVar=name3, secondVar=name1, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name3, secondVar=name1).rule
result = AggregationRule(firstVar=name4, secondVar=name1, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name4, secondVar=name1).rule
result += AggregationRule(firstVar=name5, secondVar=name1, firstPredIsIn=False).rule
result += AggregationRule(firstVar=name5, secondVar=name1).rule
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name2 + ",X), out(" + name1 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name3 + ",X), out(" + name1 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name4 + ",X), out(" + name1 + ",X).\n"
result += "ir(X, r" + self.ruleNum.__str__() + ") :- in(" + name5 + ",X), out(" + name1 + ",X).\n"
else:
print "Relation ",self.relations," is not yet supported!!!!"
result = "\n"
elif encode[enc] & encode["direct"]:
prefix = "label(" + name1 + ", " + name2 +", "
result = ""
firstrel = True
if self.relations < relation["+="]:
if self.relations & rcc5["includes"] == rcc5["includes"]:
result = prefix + "in) "
firstrel = False
if self.relations & rcc5["is_included_in"] == rcc5["is_included_in"]:
if firstrel:
result = prefix + "ls) "
firstrel = False
else:
result += " v " + prefix + "ls) "
if self.relations & rcc5["overlaps"] == rcc5["overlaps"]:
if firstrel:
result = prefix + "ol) "
firstrel = False
else:
result += " v " + prefix + "ol) "
if self.relations & rcc5["disjoint"] == rcc5["disjoint"]:
if firstrel:
result = prefix + "ds) "
firstrel = False
else:
result += " v " + prefix + "ds) "
if self.relations & rcc5["equals"] == rcc5["equals"]:
if firstrel:
result = prefix + "eq) "
firstrel = False
else:
result += " v " + prefix + "eq) "
if not firstrel:
result += "."
elif self.relations == relation["+="]:
result = "sum(" + self.taxon3.dlvName() + "," + name1 + "," + name2 + ").\n"
elif self.relations == relation["=+"]:
result = "sum(" + name1 + "," + name2 + "," + self.taxon3.dlvName() + ").\n"
else:
raise Exception("Encoding:", enc, " is not supported !!")
return result
| 73.939873
| 246
| 0.482709
| 5,079
| 46,730
| 4.350266
| 0.05316
| 0.029328
| 0.05594
| 0.069925
| 0.844671
| 0.826658
| 0.794433
| 0.75981
| 0.701969
| 0.680969
| 0
| 0.02986
| 0.310571
| 46,730
| 631
| 247
| 74.057052
| 0.655958
| 0.031072
| 0
| 0.474576
| 0
| 0
| 0.210811
| 0.001481
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| 0.001585
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| null | null | 0
| 0.011299
| null | null | 0.001883
| 0
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| 1
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| 1
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|
0
| 7
|
e14ad8ade0da1c3be2a5c3c33a237039b3afe179
| 6,059
|
py
|
Python
|
questionnaires/migrations/0026_auto_20220125_1149.py
|
ChrisMarsh82/iogt
|
8141421a79b73bd038880a3be92fa6809adced13
|
[
"BSD-2-Clause"
] | 1
|
2022-03-11T11:46:27.000Z
|
2022-03-11T11:46:27.000Z
|
questionnaires/migrations/0026_auto_20220125_1149.py
|
ChrisMarsh82/iogt
|
8141421a79b73bd038880a3be92fa6809adced13
|
[
"BSD-2-Clause"
] | null | null | null |
questionnaires/migrations/0026_auto_20220125_1149.py
|
ChrisMarsh82/iogt
|
8141421a79b73bd038880a3be92fa6809adced13
|
[
"BSD-2-Clause"
] | null | null | null |
# Generated by Django 3.1.14 on 2022-01-25 11:49
from django.db import migrations
import home.blocks
import wagtail.core.blocks
import wagtail.core.fields
import wagtail.images.blocks
import wagtailmarkdown.blocks
class Migration(migrations.Migration):
dependencies = [
('questionnaires', '0025_auto_20220106_0908'),
]
operations = [
migrations.AlterField(
model_name='poll',
name='description',
field=wagtail.core.fields.StreamField([('heading', wagtail.core.blocks.CharBlock(form_classname='full title', template='blocks/heading.html')), ('paragraph', wagtail.core.blocks.RichTextBlock(features=['h2', 'h3', 'h4', 'bold', 'italic', 'ol', 'ul', 'hr', 'link', 'document-link', 'image'])), ('paragraph_v1_legacy', home.blocks.RawHTMLBlock(icon='code')), ('image', wagtail.images.blocks.ImageChooserBlock(template='blocks/image.html')), ('list', wagtailmarkdown.blocks.MarkdownBlock(icon='code')), ('numbered_list', home.blocks.NumberedListBlock(wagtailmarkdown.blocks.MarkdownBlock(icon='code'))), ('page_button', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock()), ('text', wagtail.core.blocks.CharBlock(max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='poll',
name='terms_and_conditions',
field=wagtail.core.fields.StreamField([('paragraph', wagtail.core.blocks.RichTextBlock(features=['h2', 'h3', 'h4', 'bold', 'italic', 'ol', 'ul', 'hr', 'link', 'document-link', 'image'])), ('page_button', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock()), ('text', wagtail.core.blocks.CharBlock(max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='poll',
name='thank_you_text',
field=wagtail.core.fields.StreamField([('paragraph', wagtail.core.blocks.RichTextBlock(features=['h2', 'h3', 'h4', 'bold', 'italic', 'ol', 'ul', 'hr', 'link', 'document-link', 'image'])), ('media', home.blocks.MediaBlock(icon='media')), ('image', wagtail.images.blocks.ImageChooserBlock(template='blocks/image.html'))], blank=True, null=True),
),
migrations.AlterField(
model_name='quiz',
name='description',
field=wagtail.core.fields.StreamField([('heading', wagtail.core.blocks.CharBlock(form_classname='full title', template='blocks/heading.html')), ('paragraph', wagtail.core.blocks.RichTextBlock(features=['h2', 'h3', 'h4', 'bold', 'italic', 'ol', 'ul', 'hr', 'link', 'document-link', 'image'])), ('paragraph_v1_legacy', home.blocks.RawHTMLBlock(icon='code')), ('image', wagtail.images.blocks.ImageChooserBlock(template='blocks/image.html')), ('list', wagtailmarkdown.blocks.MarkdownBlock(icon='code')), ('numbered_list', home.blocks.NumberedListBlock(wagtailmarkdown.blocks.MarkdownBlock(icon='code'))), ('page_button', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock()), ('text', wagtail.core.blocks.CharBlock(max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='quiz',
name='terms_and_conditions',
field=wagtail.core.fields.StreamField([('paragraph', wagtail.core.blocks.RichTextBlock(features=['h2', 'h3', 'h4', 'bold', 'italic', 'ol', 'ul', 'hr', 'link', 'document-link', 'image'])), ('page_button', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock()), ('text', wagtail.core.blocks.CharBlock(max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='quiz',
name='thank_you_text',
field=wagtail.core.fields.StreamField([('paragraph', wagtail.core.blocks.RichTextBlock(features=['h2', 'h3', 'h4', 'bold', 'italic', 'ol', 'ul', 'hr', 'link', 'document-link', 'image'])), ('media', home.blocks.MediaBlock(icon='media')), ('image', wagtail.images.blocks.ImageChooserBlock(template='blocks/image.html'))], blank=True, null=True),
),
migrations.AlterField(
model_name='survey',
name='description',
field=wagtail.core.fields.StreamField([('heading', wagtail.core.blocks.CharBlock(form_classname='full title', template='blocks/heading.html')), ('paragraph', wagtail.core.blocks.RichTextBlock(features=['h2', 'h3', 'h4', 'bold', 'italic', 'ol', 'ul', 'hr', 'link', 'document-link', 'image'])), ('paragraph_v1_legacy', home.blocks.RawHTMLBlock(icon='code')), ('image', wagtail.images.blocks.ImageChooserBlock(template='blocks/image.html')), ('list', wagtailmarkdown.blocks.MarkdownBlock(icon='code')), ('numbered_list', home.blocks.NumberedListBlock(wagtailmarkdown.blocks.MarkdownBlock(icon='code'))), ('page_button', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock()), ('text', wagtail.core.blocks.CharBlock(max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='survey',
name='terms_and_conditions',
field=wagtail.core.fields.StreamField([('paragraph', wagtail.core.blocks.RichTextBlock(features=['h2', 'h3', 'h4', 'bold', 'italic', 'ol', 'ul', 'hr', 'link', 'document-link', 'image'])), ('page_button', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock()), ('text', wagtail.core.blocks.CharBlock(max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='survey',
name='thank_you_text',
field=wagtail.core.fields.StreamField([('paragraph', wagtail.core.blocks.RichTextBlock(features=['h2', 'h3', 'h4', 'bold', 'italic', 'ol', 'ul', 'hr', 'link', 'document-link', 'image'])), ('media', home.blocks.MediaBlock(icon='media')), ('image', wagtail.images.blocks.ImageChooserBlock(template='blocks/image.html'))], blank=True, null=True),
),
]
| 94.671875
| 812
| 0.670738
| 673
| 6,059
| 5.967311
| 0.138187
| 0.112301
| 0.131225
| 0.06499
| 0.933765
| 0.933765
| 0.925548
| 0.925548
| 0.925548
| 0.925548
| 0
| 0.015146
| 0.128239
| 6,059
| 63
| 813
| 96.174603
| 0.745172
| 0.007592
| 0
| 0.789474
| 1
| 0
| 0.202795
| 0.003826
| 0
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| 0
| false
| 0
| 0.105263
| 0
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| 1
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| 1
| 1
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| 1
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| null | 0
| 0
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| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
e1965a21d94917720040d0103d301753ea23be4c
| 112
|
py
|
Python
|
nipy/algorithms/statistics/tests/__init__.py
|
yarikoptic/NiPy-OLD
|
8759b598ac72d3b9df7414642c7a662ad9c55ece
|
[
"BSD-3-Clause"
] | 1
|
2015-08-22T16:14:45.000Z
|
2015-08-22T16:14:45.000Z
|
nipy/algorithms/statistics/tests/__init__.py
|
yarikoptic/NiPy-OLD
|
8759b598ac72d3b9df7414642c7a662ad9c55ece
|
[
"BSD-3-Clause"
] | null | null | null |
nipy/algorithms/statistics/tests/__init__.py
|
yarikoptic/NiPy-OLD
|
8759b598ac72d3b9df7414642c7a662ad9c55ece
|
[
"BSD-3-Clause"
] | null | null | null |
import nipy.algorithms.statistics.tests.test_rft
import nipy.algorithms.statistics.tests.test_intrinsic_volumes
| 37.333333
| 62
| 0.892857
| 15
| 112
| 6.466667
| 0.6
| 0.206186
| 0.412371
| 0.618557
| 0.804124
| 0.804124
| 0
| 0
| 0
| 0
| 0
| 0
| 0.035714
| 112
| 2
| 63
| 56
| 0.898148
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 10
|
e1aae7c7a1cddb348f8f98b1f9b8896ed180756c
| 20,792
|
py
|
Python
|
a10sdk/core/vrrp/vrrp_a.py
|
deepfield/a10sdk-python
|
bfaa58099f51f085d5e91652d1d1a3fd5c529d5d
|
[
"Apache-2.0"
] | 16
|
2015-05-20T07:26:30.000Z
|
2021-01-23T11:56:57.000Z
|
a10sdk/core/vrrp/vrrp_a.py
|
deepfield/a10sdk-python
|
bfaa58099f51f085d5e91652d1d1a3fd5c529d5d
|
[
"Apache-2.0"
] | 6
|
2015-03-24T22:07:11.000Z
|
2017-03-28T21:31:18.000Z
|
a10sdk/core/vrrp/vrrp_a.py
|
deepfield/a10sdk-python
|
bfaa58099f51f085d5e91652d1d1a3fd5c529d5d
|
[
"Apache-2.0"
] | 23
|
2015-03-29T15:43:01.000Z
|
2021-06-02T17:12:01.000Z
|
from a10sdk.common.A10BaseClass import A10BaseClass
class EthernetCfg(A10BaseClass):
"""This class does not support CRUD Operations please use parent.
:param flap_ethernet_end: {"type": "number", "description": "Ethernet Port", "format": "interface"}
:param flap_ethernet_start: {"type": "number", "description": "Ethernet Port", "format": "interface"}
:param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py`
"""
def __init__(self, **kwargs):
self.ERROR_MSG = ""
self.b_key = "ethernet-cfg"
self.DeviceProxy = ""
self.flap_ethernet_end = ""
self.flap_ethernet_start = ""
for keys, value in kwargs.items():
setattr(self,keys, value)
class RestartPortList(A10BaseClass):
"""This class does not support CRUD Operations please use parent.
:param ethernet_cfg: {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"optional": true, "flap-ethernet-end": {"type": "number", "description": "Ethernet Port", "format": "interface"}, "flap-ethernet-start": {"type": "number", "description": "Ethernet Port", "format": "interface"}}}]}
:param uuid: {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "maxLength": 64, "type": "string"}
:param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py`
"""
def __init__(self, **kwargs):
self.ERROR_MSG = ""
self.b_key = "restart-port-list"
self.DeviceProxy = ""
self.ethernet_cfg = []
self.uuid = ""
for keys, value in kwargs.items():
setattr(self,keys, value)
class VrrpA(A10BaseClass):
""" :param vrid_list: {"minItems": 1, "items": {"type": "vrid"}, "uniqueItems": true, "array": [{"required": ["vrid-val"], "properties": {"blade-parameters": {"type": "object", "properties": {"priority": {"description": "VRRP-A priorty (Priority, default is 150)", "format": "number", "default": 150, "maximum": 255, "minimum": 1, "type": "number"}, "fail-over-policy-template": {"description": "Apply a fail over policy template (VRRP-A fail over policy template name)", "format": "string", "minLength": 1, "maxLength": 63, "type": "string", "$ref": "/axapi/v3/vrrp-a/fail-over-policy-template"}, "uuid": {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "maxLength": 64, "type": "string"}, "tracking-options": {"type": "object", "properties": {"vlan-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"vlan": {"description": "VLAN tracking (VLAN id)", "minimum": 2, "type": "number", "maximum": 4094, "format": "number"}, "optional": true, "timeout": {"minimum": 2, "type": "number", "maximum": 600, "format": "number"}, "priority-cost": {"description": "The amount the priority will decrease", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}}}]}, "uuid": {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "maxLength": 64, "type": "string"}, "route": {"type": "object", "properties": {"ipv6-destination-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"distance": {"description": "Route's administrative distance (default: match any)", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "protocol": {"default": "any", "enum": ["any", "static", "dynamic"], "type": "string", "description": "'any': Match any routing protocol (default); 'static': Match only static routes (added by user); 'dynamic': Match routes added by dynamic routing protocols (e.g. OSPF); ", "format": "enum"}, "priority-cost": {"description": "The amount the priority will decrease if the route is missing (The amount the priority will decrease if the route is not present)", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "ipv6-destination": {"type": "string", "description": "IPv6 Destination Prefix", "format": "ipv6-address-plen"}, "gatewayv6": {"type": "string", "description": "Match the route's gateway (next-hop) (default: match any)", "format": "ipv6-address"}, "optional": true}}]}, "ip-destination-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"distance": {"description": "Route's administrative distance (default: match any)", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "protocol": {"default": "any", "enum": ["any", "static", "dynamic"], "type": "string", "description": "'any': Match any routing protocol (default); 'static': Match only static routes (added by user); 'dynamic': Match routes added by dynamic routing protocols (e.g. OSPF); ", "format": "enum"}, "mask": {"type": "string", "description": "Destination prefix mask", "format": "ipv4-netmask"}, "priority-cost": {"description": "The amount the priority will decrease if the route is missing (The amount the priority will decrease if the route is not present)", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "ip-destination": {"type": "string", "description": "Destination prefix", "format": "ipv4-address"}, "optional": true, "gateway": {"type": "string", "description": "Match the route's gateway (next-hop) (default: match any)", "format": "ipv4-address"}}}]}}}, "interface": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"ethernet": {"type": "number", "description": "Ethernet Interface (Ethernet interface number)", "format": "interface"}, "optional": true, "priority-cost": {"description": "The amount the priority will decrease", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}}}]}, "gateway": {"type": "object", "properties": {"ipv4-gateway-list": {"minItems": 1, "items": {"type": "ipv4-gateway"}, "uniqueItems": true, "array": [{"required": ["ip-address"], "properties": {"uuid": {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}, "ip-address": {"optional": false, "type": "string", "description": "IP Address", "format": "ipv4-address"}, "priority-cost": {"description": "The amount the priority will decrease", "format": "number", "type": "number", "maximum": 255, "minimum": 1, "optional": true}}}], "type": "array", "$ref": "/axapi/v3/vrrp-a/vrid/{vrid-val}/blade-parameters/tracking-options/gateway/ipv4-gateway/{ip-address}"}, "ipv6-gateway-list": {"minItems": 1, "items": {"type": "ipv6-gateway"}, "uniqueItems": true, "array": [{"required": ["ipv6-address"], "properties": {"ipv6-address": {"optional": false, "type": "string", "description": "IPV6 address", "format": "ipv6-address"}, "uuid": {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}, "priority-cost": {"description": "The amount the priority will decrease", "format": "number", "type": "number", "maximum": 255, "minimum": 1, "optional": true}}}], "type": "array", "$ref": "/axapi/v3/vrrp-a/vrid/{vrid-val}/blade-parameters/tracking-options/gateway/ipv6-gateway/{ipv6-address}"}}, "$ref": "/axapi/v3/vrrp-a/vrid/{vrid-val}/blade-parameters/tracking-options/gateway"}, "trunk-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"per-port-pri": {"description": "per port priority", "format": "number", "default": 1, "maximum": 255, "minimum": 1, "type": "number"}, "priority-cost": {"description": "The amount the priority will decrease", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "optional": true, "trunk": {"description": "trunk tracking (Trunk Number)", "minimum": 1, "type": "number", "maximum": 16, "format": "number"}}}]}}, "$ref": "/axapi/v3/vrrp-a/vrid/{vrid-val}/blade-parameters/tracking-options"}}, "$ref": "/axapi/v3/vrrp-a/vrid/{vrid-val}/blade-parameters"}, "uuid": {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}, "floating-ip": {"type": "object", "properties": {"ipv6-address-part-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"ethernet": {"partition-visibility": "private", "type": "number", "description": "Ethernet (for link-local address only)", "format": "interface"}, "ipv6-address-partition": {"partition-visibility": "private", "platform-specific-default": 1, "type": "string", "description": "IPV6 address", "format": "ipv6-address"}, "optional": true, "ve": {"description": "VE interface (for link-local address only)", "partition-visibility": "private", "format": "number", "maximum": 4094, "minimum": 2, "type": "number"}, "trunk": {"description": "Trunk interface (for link-local address only)", "partition-visibility": "private", "format": "number", "maximum": 4096, "minimum": 1, "type": "number"}}}]}, "ip-address-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"optional": true, "ip-address": {"partition-visibility": "shared", "platform-specific-default": 1, "type": "string", "description": "IP Address", "format": "ipv4-address"}}}]}, "ip-address-part-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"ip-address-partition": {"partition-visibility": "private", "platform-specific-default": 1, "type": "string", "description": "IP Address", "format": "ipv4-address"}, "optional": true}}]}, "ipv6-address-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"ipv6-address": {"partition-visibility": "shared", "platform-specific-default": 1, "type": "string", "description": "IPV6 address", "format": "ipv6-address"}, "ethernet": {"partition-visibility": "shared", "type": "number", "description": "Ethernet (for link-local address only)", "format": "interface"}, "optional": true, "ve": {"description": "VE interface (for link-local address only)", "partition-visibility": "shared", "format": "number", "maximum": 4094, "minimum": 2, "type": "number"}, "trunk": {"description": "Trunk interface (for link-local address only)", "partition-visibility": "shared", "format": "number", "maximum": 4096, "minimum": 1, "type": "number"}}}]}}}, "vrid-val": {"description": "Specify ha VRRP-A vrid", "format": "number", "default": 0, "optional": false, "maximum": 31, "minimum": 0, "type": "number"}, "preempt-mode": {"type": "object", "properties": {"threshold": {"description": "preemption threshold (preemption threshhold (1-255), default 1)", "format": "number", "default": 1, "maximum": 255, "minimum": 1, "type": "number"}, "disable": {"default": 0, "type": "number", "description": "disable preemption", "format": "flag"}}}, "follow": {"type": "object", "properties": {"vrid-lead": {"description": "Define a VRRP-A VRID leader", "partition-visibility": "private", "minLength": 1, "format": "string", "maxLength": 128, "type": "string"}}}}}], "type": "array", "$ref": "/axapi/v3/vrrp-a/vrid/{vrid-val}"}
:param force_self_standby_persistent_list: {"minItems": 1, "items": {"type": "force-self-standby-persistent"}, "uniqueItems": true, "array": [{"required": ["vrid"], "properties": {"vrid": {"description": "Specify one VRRP-A vrid to force into standby state", "format": "number", "type": "number", "maximum": 31, "minimum": 0, "optional": false}, "uuid": {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}}}], "type": "array", "$ref": "/axapi/v3/vrrp-a/force-self-standby-persistent/{vrid}"}
:param ospf_inline_list: {"minItems": 1, "items": {"type": "ospf-inline"}, "uniqueItems": true, "array": [{"required": ["vlan"], "properties": {"vlan": {"description": "Do not filter OSPF packet on specific vlan (Vlan number)", "format": "number", "type": "number", "maximum": 4094, "minimum": 1, "optional": false}, "uuid": {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}}}], "type": "array", "$ref": "/axapi/v3/vrrp-a/ospf-inline/{vlan}"}
:param fail_over_policy_template_list: {"minItems": 1, "items": {"type": "fail-over-policy-template"}, "uniqueItems": true, "array": [{"required": ["name"], "properties": {"vlan-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"vlan": {"description": "VLAN tracking (VLAN id)", "minimum": 1, "type": "number", "maximum": 4094, "format": "number"}, "optional": true, "weight": {"description": "The failover event weight", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "timeout": {"minimum": 2, "type": "number", "maximum": 600, "format": "number"}}}]}, "name": {"description": "VRRP-A fail over policy template name", "format": "string", "minLength": 1, "optional": false, "maxLength": 128, "type": "string"}, "route": {"type": "object", "properties": {"ipv6-destination-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"distance": {"description": "Route's administrative distance (default: match any)", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "protocol": {"default": "any", "enum": ["any", "static", "dynamic"], "type": "string", "description": "'any': Match any routing protocol (default); 'static': Match only static routes (added by user); 'dynamic': Match routes added by dynamic routing protocols (e.g. OSPF); ", "format": "enum"}, "weight": {"description": "The amount the priority will decrease if the route is missing (The amount the priority will decrease if the route is not present)", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "ipv6-destination": {"type": "string", "description": "IPv6 Destination Prefix", "format": "ipv6-address-plen"}, "gatewayv6": {"type": "string", "description": "Match the route's gateway (next-hop) (default: match any)", "format": "ipv6-address"}, "optional": true}}]}, "ip-destination-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"distance": {"description": "Route's administrative distance(default: match any)", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "protocol": {"default": "any", "enum": ["any", "static", "dynamic"], "type": "string", "description": "'any': Match any routing protocol (default); 'static': Match only static routes (added by user); 'dynamic': Match routes added by dynamic routing protocols (e.g. OSPF); ", "format": "enum"}, "weight": {"description": "The amount the priority will decrease if the route is missing (The amount the priority will decrease if the route is not present)", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "mask": {"type": "string", "description": "Destination prefix mask", "format": "ipv4-netmask"}, "ip-destination": {"type": "string", "description": "Destination prefix", "format": "ipv4-address"}, "optional": true, "gateway": {"type": "string", "format": "ipv4-address"}}}]}}}, "interface": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"ethernet": {"type": "number", "description": "Ethernet Interface (Ethernet interface number)", "format": "interface"}, "optional": true, "weight": {"description": "The failover event weight", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}}}]}, "gateway": {"type": "object", "properties": {"gw-ipv4-address-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"optional": true, "weight": {"description": "The failover event weight", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "gw-ipv4-address": {"type": "string", "description": "IP Address", "format": "ipv4-address"}}}]}, "gw-ipv6-address-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"optional": true, "gw-ipv6-address": {"type": "string", "description": "IPV6 address", "format": "ipv6-address"}, "weight": {"description": "The failover event weight", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}}}]}}}, "trunk-cfg": {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"per-port-weight": {"description": "Per port failover weight", "format": "number", "default": 1, "maximum": 255, "minimum": 1, "type": "number"}, "optional": true, "weight": {"description": "failover event weight", "minimum": 1, "type": "number", "maximum": 255, "format": "number"}, "trunk": {"description": "trunk tracking (trunk id)", "minimum": 1, "type": "number", "maximum": 16, "format": "number"}}}]}, "uuid": {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}}}], "type": "array", "$ref": "/axapi/v3/vrrp-a/fail-over-policy-template/{name}"}
:param vrid_lead_list: {"minItems": 1, "items": {"type": "vrid-lead"}, "uniqueItems": true, "array": [{"required": ["vrid-lead-str"], "properties": {"vrid-lead-str": {"description": "VRRP-A VRID leader name", "format": "string", "minLength": 1, "optional": false, "maxLength": 63, "type": "string"}, "partition": {"type": "object", "properties": {"shared-cfg": {"type": "object", "properties": {"shared": {"default": 0, "not": "name", "type": "number", "description": "Shared partition", "format": "flag"}, "vrid": {"default": 0, "type": "number", "description": "VRRP-A id", "format": "flag"}, "vrid-value": {"description": "Specify ha VRRP-A vrid", "minimum": 0, "type": "number", "maximum": 31, "format": "number"}}}, "name-cfg": {"type": "object", "properties": {"vrid-value": {"description": "Specify ha VRRP-A vrid", "minimum": 0, "type": "number", "maximum": 7, "format": "number"}, "vrid": {"default": 0, "type": "number", "description": "VRRP-A id", "format": "flag"}, "name": {"description": "Partition name", "format": "string", "minLength": 1, "maxLength": 14, "not": "shared", "type": "string", "$ref": "/axapi/v3/partition"}}}, "partition": {"default": 0, "type": "number", "description": "Partition name", "format": "flag"}}}, "uuid": {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}}}], "type": "array", "$ref": "/axapi/v3/vrrp-a/vrid-lead/{vrid-lead-str}"}
:param l2_inline_peer_ip_list: {"minItems": 1, "items": {"type": "l2-inline-peer-ip"}, "uniqueItems": true, "array": [{"required": ["ip-address"], "properties": {"uuid": {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}, "ip-address": {"optional": false, "type": "string", "description": "IP address (IPv4 address)", "format": "ipv4-address"}}}], "type": "array", "$ref": "/axapi/v3/vrrp-a/l2-inline-peer-ip/{ip-address}"}
:param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py`
Class Description::
HA VRRP-A Global Commands.
Class vrrp-a supports CRUD Operations and inherits from `common/A10BaseClass`.
This class is the `"PARENT"` class for this module.`
URL for this object::
`https://<Hostname|Ip address>//axapi/v3/vrrp-a`.
"""
def __init__(self, **kwargs):
self.ERROR_MSG = ""
self.required=[]
self.b_key = "vrrp-a"
self.a10_url="/axapi/v3/vrrp-a"
self.DeviceProxy = ""
self.vrid_list = []
self.force_self_standby_persistent_list = []
self.force_self_standby = {}
self.l3_inline_mode_flag = {}
self.peer_group = {}
self.ospf_inline_list = []
self.fail_over_policy_template_list = []
self.vrid_lead_list = []
self.state = {}
self.common = {}
self.interface = {}
self.restart_port_list = {}
self.l2_inline_peer_ip_list = []
self.preferred_session_sync_port = {}
for keys, value in kwargs.items():
setattr(self,keys, value)
| 203.843137
| 9,618
| 0.638274
| 2,439
| 20,792
| 5.409594
| 0.086921
| 0.037896
| 0.036077
| 0.034106
| 0.828862
| 0.778536
| 0.7608
| 0.758678
| 0.723965
| 0.712824
| 0
| 0.018801
| 0.122547
| 20,792
| 101
| 9,619
| 205.861386
| 0.704396
| 0.921893
| 0
| 0.357143
| 0
| 0
| 0.033399
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.071429
| false
| 0
| 0.02381
| 0
| 0.166667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
e1b72de62d28c14cee01f4c8a501ca9a6a666bc4
| 92
|
py
|
Python
|
ormageddon/__init__.py
|
renskiy/ormageddon
|
24c48275f0ac977c0153581aea168174164fcc00
|
[
"MIT"
] | 18
|
2016-02-25T08:48:51.000Z
|
2019-01-25T01:57:49.000Z
|
ormageddon/__init__.py
|
renskiy/ormageddon
|
24c48275f0ac977c0153581aea168174164fcc00
|
[
"MIT"
] | null | null | null |
ormageddon/__init__.py
|
renskiy/ormageddon
|
24c48275f0ac977c0153581aea168174164fcc00
|
[
"MIT"
] | null | null | null |
from ormageddon.db import *
from ormageddon.fields import *
from ormageddon.models import *
| 23
| 31
| 0.804348
| 12
| 92
| 6.166667
| 0.5
| 0.567568
| 0.540541
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 92
| 3
| 32
| 30.666667
| 0.925
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| 0
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| 0
| 0
| 0
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| 0
| 0
| 0
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| 1
| 0
| true
| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
bece9b241f2768a4f909febf8bb505c7b5d33cfa
| 8,416
|
py
|
Python
|
tests/unit/test_protobuf_schema.py
|
instaclustr/karapace
|
60e9d788be360dd7f1d29f6ecb3dc9f881233302
|
[
"Apache-2.0"
] | 1
|
2021-09-29T07:17:47.000Z
|
2021-09-29T07:17:47.000Z
|
tests/unit/test_protobuf_schema.py
|
instaclustr/karapace
|
60e9d788be360dd7f1d29f6ecb3dc9f881233302
|
[
"Apache-2.0"
] | 9
|
2021-04-20T05:02:26.000Z
|
2022-02-04T01:04:22.000Z
|
tests/unit/test_protobuf_schema.py
|
instaclustr/karapace
|
60e9d788be360dd7f1d29f6ecb3dc9f881233302
|
[
"Apache-2.0"
] | 1
|
2021-04-03T16:48:42.000Z
|
2021-04-03T16:48:42.000Z
|
from karapace.protobuf.compare_result import CompareResult
from karapace.protobuf.kotlin_wrapper import trim_margin
from karapace.protobuf.location import Location
from karapace.protobuf.schema import ProtobufSchema
from karapace.schema_reader import SchemaType, TypedSchema
from tests.schemas.protobuf import (
schema_protobuf_compare_one, schema_protobuf_order_after, schema_protobuf_order_before, schema_protobuf_schema_registry1
)
location: Location = Location.get("file.proto")
def test_protobuf_schema_simple():
proto = trim_margin(schema_protobuf_schema_registry1)
protobuf_schema = TypedSchema.parse(SchemaType.PROTOBUF, proto)
result = str(protobuf_schema)
assert result == proto
def test_protobuf_schema_sort():
proto = trim_margin(schema_protobuf_order_before)
protobuf_schema = TypedSchema.parse(SchemaType.PROTOBUF, proto)
result = str(protobuf_schema)
proto2 = trim_margin(schema_protobuf_order_after)
assert result == proto2
def test_protobuf_schema_compare():
proto1 = trim_margin(schema_protobuf_order_after)
protobuf_schema1: TypedSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto1)
proto2 = trim_margin(schema_protobuf_compare_one)
protobuf_schema2: TypedSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto2)
result = CompareResult()
protobuf_schema1.schema.compare(protobuf_schema2.schema, result)
assert result.is_compatible()
def test_protobuf_schema_compare2():
proto1 = trim_margin(schema_protobuf_order_after)
protobuf_schema1: TypedSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto1)
proto2 = trim_margin(schema_protobuf_compare_one)
protobuf_schema2: TypedSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto2)
result = CompareResult()
protobuf_schema2.schema.compare(protobuf_schema1.schema, result)
assert result.is_compatible()
def test_protobuf_schema_compare3():
proto1 = """
|syntax = "proto3";
|package a1;
|message TestMessage {
| message Value {
| string str2 = 1;
| int32 x = 2;
| }
| string test = 1;
| .a1.TestMessage.Value val = 2;
|}
|"""
proto1 = trim_margin(proto1)
proto2 = """
|syntax = "proto3";
|package a1;
|
|message TestMessage {
| string test = 1;
| .a1.TestMessage.Value val = 2;
|
| message Value {
| string str2 = 1;
| Enu x = 2;
| }
| enum Enu {
| A = 0;
| B = 1;
| }
|}
|"""
proto2 = trim_margin(proto2)
protobuf_schema1: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto1).schema
protobuf_schema2: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto2).schema
result = CompareResult()
protobuf_schema1.compare(protobuf_schema2, result)
assert result.is_compatible()
def test_protobuf_message_compatible_label_alter():
proto1 = """
|syntax = "proto3";
|message Goods {
| optional Packet record = 1;
| string driver = 2;
| message Packet {
| bytes order = 1;
| }
|}
|"""
proto1 = trim_margin(proto1)
proto2 = """
|syntax = "proto3";
|message Goods {
| repeated Packet record = 1;
| string driver = 2;
| message Packet {
| bytes order = 1;
| }
|}
|"""
proto2 = trim_margin(proto2)
protobuf_schema1: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto1).schema
protobuf_schema2: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto2).schema
result = CompareResult()
protobuf_schema1.compare(protobuf_schema2, result)
assert result.is_compatible()
def test_protobuf_field_type_incompatible_alter():
proto1 = """
|syntax = "proto3";
|message Goods {
| string order = 1;
| map<string, int32> items_int32 = 2;
|}
|"""
proto1 = trim_margin(proto1)
proto2 = """
|syntax = "proto3";
|message Goods {
| string order = 1;
| map<string, string> items_string = 2;
|}
|"""
proto2 = trim_margin(proto2)
protobuf_schema1: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto1).schema
protobuf_schema2: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto2).schema
result = CompareResult()
protobuf_schema1.compare(protobuf_schema2, result)
assert not result.is_compatible()
def test_protobuf_field_label_compatible_alter():
proto1 = """
|syntax = "proto3";
|message Goods {
| optional string driver = 1;
| Order order = 2;
| message Order {
| string item = 1;
| }
|}
|"""
proto1 = trim_margin(proto1)
proto2 = """
|syntax = "proto3";
|message Goods {
| repeated string driver = 1;
| Order order = 2;
| message Order {
| string item = 1;
| }
|}
|"""
proto2 = trim_margin(proto2)
protobuf_schema1: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto1).schema
protobuf_schema2: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto2).schema
result = CompareResult()
protobuf_schema1.compare(protobuf_schema2, result)
assert result.is_compatible()
def test_protobuf_field_incompatible_drop_from_oneof():
proto1 = """
|syntax = "proto3";
|message Goods {
| oneof item {
| string name_a = 1;
| string name_b = 2;
| int32 id = 3;
| }
|}
|"""
proto1 = trim_margin(proto1)
proto2 = """
|syntax = "proto3";
|message Goods {
| oneof item {
| string name_a = 1;
| string name_b = 2;
| }
|}
|"""
proto2 = trim_margin(proto2)
protobuf_schema1: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto1).schema
protobuf_schema2: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto2).schema
result = CompareResult()
protobuf_schema1.compare(protobuf_schema2, result)
assert not result.is_compatible()
def test_protobuf_field_incompatible_alter_to_oneof():
proto1 = """
|syntax = "proto3";
|message Goods {
| string name = 1;
| string reg_name = 2;
|}
|"""
proto1 = trim_margin(proto1)
proto2 = """
|syntax = "proto3";
|message Goods {
| oneof reg_data {
| string name = 1;
| string reg_name = 2;
| int32 id = 3;
| }
|}
|"""
proto2 = trim_margin(proto2)
protobuf_schema1: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto1).schema
protobuf_schema2: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto2).schema
result = CompareResult()
protobuf_schema1.compare(protobuf_schema2, result)
assert not result.is_compatible()
def test_protobuf_field_compatible_alter_to_oneof():
proto1 = """
|syntax = "proto3";
|message Goods {
| string name = 1;
| string foo = 2;
|}
|"""
proto1 = trim_margin(proto1)
proto2 = """
|syntax = "proto3";
|message Goods {
| string name = 1;
| oneof new_oneof {
| string foo = 2;
| int32 bar = 3;
| }
|}
|"""
proto2 = trim_margin(proto2)
protobuf_schema1: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto1).schema
protobuf_schema2: ProtobufSchema = TypedSchema.parse(SchemaType.PROTOBUF, proto2).schema
result = CompareResult()
protobuf_schema1.compare(protobuf_schema2, result)
assert result.is_compatible()
| 29.121107
| 124
| 0.589354
| 776
| 8,416
| 6.179124
| 0.113402
| 0.045881
| 0.108446
| 0.141814
| 0.840459
| 0.805631
| 0.780188
| 0.754536
| 0.727424
| 0.714911
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| 0.031076
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| 8,416
| 288
| 125
| 29.222222
| 0.801389
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| 0
| 0.38807
| 0.00499
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| 0
| 0
| 0.048035
| 1
| 0.048035
| false
| 0
| 0.026201
| 0
| 0.074236
| 0
| 0
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| 0
| null | 0
| 0
| 0
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| 1
| 1
| 1
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| 1
| 0
| 0
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| 0
| 0
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| 0
| 1
| 0
| 0
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| 0
| null | 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
8305781674f8c6af4f531588f7fa8e09fe4e2394
| 6,305
|
py
|
Python
|
tests/hardware_tests/test_pin.py
|
vt-sailbot/sailbot-19
|
a9252e9415d3fef62e4baf813306bdc07fb69781
|
[
"MIT"
] | 1
|
2019-05-29T19:32:48.000Z
|
2019-05-29T19:32:48.000Z
|
tests/hardware_tests/test_pin.py
|
vt-sailbot/sailbot-19
|
a9252e9415d3fef62e4baf813306bdc07fb69781
|
[
"MIT"
] | 3
|
2019-02-23T13:33:47.000Z
|
2019-08-18T12:54:56.000Z
|
tests/hardware_tests/test_pin.py
|
vt-sailbot/sailbot-19
|
a9252e9415d3fef62e4baf813306bdc07fb69781
|
[
"MIT"
] | null | null | null |
import unittest
try:
from unittest.mock import patch, MagicMock
except ImportError:
from mock import patch, MagicMock
from src.hardware.pin import make_pin, ADCPin
from tests.mock_bbio import Adafruit_BBIO
class PinTests(unittest.TestCase):
"""Tests methods of the Pin family."""
@staticmethod
def test_gpio_read():
"""Tests that GPIOPin reads correctly."""
# Set up the pin
Adafruit_BBIO.GPIO.setup = MagicMock(name='Adafruit.BBIO.GPIO.setup')
Adafruit_BBIO.GPIO.IN = MagicMock(name='Adafruit.BBIO.GPIO.IN')
gpio_pin = make_pin({
"pin_name": "Hello",
"pin_type": "GPIO",
"io_type": "IN"
}, mock_lib=Adafruit_BBIO.GPIO)
# Fake HIGH voltage
Adafruit_BBIO.GPIO.input = MagicMock(name='Adafruit.BBIO.GPIO.input',
return_value=True)
assert gpio_pin.read()
# Fake LOW voltage
Adafruit_BBIO.GPIO.input = MagicMock(name='Adafruit.BBIO.GPIO.input',
return_value=False)
assert not gpio_pin.read()
@staticmethod
def test_gpio_set_state():
"""Tests that GPIOPin writes correctly."""
# Set up the pin
Adafruit_BBIO.GPIO.setup = MagicMock(name='Adafruit.BBIO.GPIO.setup')
Adafruit_BBIO.GPIO.output = MagicMock(name='Adafruit.BBIO.GPIO.setup')
Adafruit_BBIO.GPIO.HIGH = MagicMock(name='Adafruit.BBIO.GPIO.HIGH')
Adafruit_BBIO.GPIO.LOW = MagicMock(name='Adafruit.BBIO.GPIO.LOW')
Adafruit_BBIO.GPIO.IN = MagicMock(name='Adafruit.BBIO.GPIO.IN')
Adafruit_BBIO.GPIO.OUT = MagicMock(name='Adafruit.BBIO.GPIO.OUT')
gpio_pin = make_pin({
"pin_name": "Hello",
"pin_type": "GPIO",
"io_type": "OUT"
}, mock_lib=Adafruit_BBIO.GPIO)
# Set to HIGH voltage
gpio_pin.set_state(True)
Adafruit_BBIO.GPIO.output.assert_called_with("Hello", Adafruit_BBIO.GPIO.HIGH)
# Set to LOW voltage
gpio_pin.set_state(False)
Adafruit_BBIO.GPIO.output.assert_called_with("Hello", Adafruit_BBIO.GPIO.LOW)
@patch('src.hardware.pin.pub', autospec=True)
def test_gpio_logger(self, mock_pub):
"""Tests that GPIOPin logs messages"""
# Set up the pin
Adafruit_BBIO.GPIO.setup = MagicMock(name='Adafruit.BBIO.GPIO.setup')
Adafruit_BBIO.GPIO.IN = MagicMock(name='Adafruit.BBIO.GPIO.IN')
gpio_pin = make_pin({
"pin_name": "GPIOread",
"pin_type": "GPIO",
"io_type": "IN"
}, mock_lib=Adafruit_BBIO.GPIO)
# Fake HIGH voltage
Adafruit_BBIO.GPIO.input = MagicMock(name='Adafruit.BBIO.GPIO.input',
return_value=True)
gpio_pin.read()
mock_pub.sendMessage.assert_any_call("write msg", pin_name="GPIOread", msg=True, rw_state='r')
# Set up pin for output
Adafruit_BBIO.GPIO.setup = MagicMock(name='Adafruit.BBIO.GPIO.setup')
Adafruit_BBIO.GPIO.output = MagicMock(name='Adafruit.BBIO.GPIO.setup')
Adafruit_BBIO.GPIO.HIGH = MagicMock(name='Adafruit.BBIO.GPIO.HIGH')
Adafruit_BBIO.GPIO.LOW = MagicMock(name='Adafruit.BBIO.GPIO.LOW')
Adafruit_BBIO.GPIO.IN = MagicMock(name='Adafruit.BBIO.GPIO.IN')
Adafruit_BBIO.GPIO.OUT = MagicMock(name='Adafruit.BBIO.GPIO.OUT')
gpio_pin = make_pin({
"pin_name": "GPIOwrite",
"pin_type": "GPIO",
"io_type": "OUT"
}, mock_lib=Adafruit_BBIO.GPIO)
# Set to HIGH voltage
gpio_pin.set_state(True)
mock_pub.sendMessage.assert_any_call("write msg", pin_name = "GPIOwrite", msg=True, rw_state = 'w')
@staticmethod
def test_adc_read_v():
# Set up the pin
Adafruit_BBIO.ADC.setup = MagicMock(name='Adafruit.BBIO.GPIO.setup')
Adafruit_BBIO.ADC.read = MagicMock(name='Adafruit.BBIO.GPIO.setup', return_value=0.5)
adc_pin = make_pin({
"pin_name": "Hello",
"pin_type": "ADC",
"min_v": 0,
"default_v": 0.5,
"max_v": 1
}, mock_lib=Adafruit_BBIO.ADC)
# Tests the method
assert abs(adc_pin.read_v() - 0.9) < 0.01
@staticmethod
def test_adc_read():
# Set up the pin
Adafruit_BBIO.ADC.setup = MagicMock(name='Adafruit.BBIO.ADC.read')
Adafruit_BBIO.ADC.read = MagicMock(name='Adafruit.BBIO.ADC.read',
return_value=(1 / ADCPin.MAX_INPUT_VOLTAGE))
adc_pin = make_pin({
"pin_name": "Hello",
"pin_type": "ADC",
"min_v": 0,
"default_v": 0.5,
"max_v": 1
}, mock_lib=Adafruit_BBIO.ADC)
# Tests the method
val = adc_pin.read()
err = abs(val - 1)
assert err < 0.01
Adafruit_BBIO.ADC.read = MagicMock(name='Adafruit.BBIO.ADC.read',
return_value=(0.5 / ADCPin.MAX_INPUT_VOLTAGE))
val = adc_pin.read()
err = abs(val - 0)
assert err < 0.01
Adafruit_BBIO.ADC.read = MagicMock(name='Adafruit.BBIO.ADC.read',
return_value=0)
val = adc_pin.read()
err = abs(val + 1)
assert err < 0.01
@patch('src.hardware.pin.pub', autospec=True)
def test_adc_logger(self, mock_pub):
"""Tests that ADCPin logs messages"""
# Set up the pin
Adafruit_BBIO.ADC.setup = MagicMock(name='Adafruit.BBIO.ADC.read')
Adafruit_BBIO.ADC.read = MagicMock(name='Adafruit.BBIO.ADC.read',
return_value=(1 / ADCPin.MAX_INPUT_VOLTAGE))
adc_pin = make_pin({
"pin_name": "Hello",
"pin_type": "ADC",
"min_v": 0,
"default_v": 0.5,
"max_v": 1
}, mock_lib=Adafruit_BBIO.ADC)
# Tests the method
val = adc_pin.read()
err = abs(val - 1)
assert err < 0.01
mock_pub.sendMessage.assert_any_call("write msg", pin_name="Hello", msg=val, rw_state='r')
if __name__ == "__main__":
unittest.main()
| 36.235632
| 110
| 0.582871
| 787
| 6,305
| 4.465057
| 0.11817
| 0.225384
| 0.218554
| 0.192089
| 0.826409
| 0.80535
| 0.787991
| 0.78173
| 0.765794
| 0.736483
| 0
| 0.008995
| 0.294687
| 6,305
| 173
| 111
| 36.445087
| 0.781201
| 0.070738
| 0
| 0.710744
| 0
| 0
| 0.171537
| 0.105535
| 0
| 0
| 0
| 0
| 0.099174
| 1
| 0.049587
| false
| 0
| 0.049587
| 0
| 0.107438
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
3629cbc901f0b33f04dc86d602c6a3e44ea34f61
| 2,562
|
py
|
Python
|
CorePathwayObjects.py
|
Dexter-Maine/Eeveaem
|
ba9b551971d64274a7e5dd5ac87f820a96ab5060
|
[
"MIT"
] | null | null | null |
CorePathwayObjects.py
|
Dexter-Maine/Eeveaem
|
ba9b551971d64274a7e5dd5ac87f820a96ab5060
|
[
"MIT"
] | null | null | null |
CorePathwayObjects.py
|
Dexter-Maine/Eeveaem
|
ba9b551971d64274a7e5dd5ac87f820a96ab5060
|
[
"MIT"
] | null | null | null |
from .Pathway import CorePathway
#@Dev: Don't Forget To Contract Some Passages So They
#@Dev: Must Be Called To Unlock / Lock
class GlimmeringDoor(CorePathway):
def __init__(self):
self.Name = 'Glimmering Door'
super().__init__(Name=self.Name,Open=False,Locked=True,Skill=1000,Key=None)
def Open(self):
self.Open = True
def Close(self):
self.Open = False
def Lock(self):
self.Locked = True
def Unlock(self):
self.Locked = False
def Create_Key(self):
pass
def Label_Self(self):
pass
class IronDoor(CorePathway):
def __init__(self):
self.Name = 'Iron Door'
super().__init__(Name=self.Name,Open=False,Locked=True,Skill=1000,Key=None)
def Open(self):
self.Open = True
def Close(self):
self.Open = False
def Lock(self):
self.Locked = True
def Unlock(self):
self.Locked = False
def Create_Key(self):
pass
def Label_Self(self):
pass
class RosewoodWindow(CorePathway):
def __init__(self):
self.Name = 'Rosewood Window'
super().__init__(Name=self.Name,Open=False,Locked=True,Skill=1000,Key=None)
def Open(self):
self.Open = True
def Close(self):
self.Open = False
def Lock(self):
self.Locked = True
def Unlock(self):
self.Locked = False
def Create_Key(self):
pass
def Label_Self(self):
pass
class RosewoodStairway(CorePathway):
def __init__(self):
self.Name = 'Rosewood Stairway'
super().__init__(Name=self.Name,Open=False,Locked=True,Skill=1000,Key=None)
def Open(self):
self.Open = True
def Close(self):
self.Open = False
def Lock(self):
self.Locked = True
def Unlock(self):
self.Locked = False
def Create_Key(self):
pass
def Label_Self(self):
pass
class RosewoodDoor(CorePathway):
def __init__(self):
self.Name = 'Rosewood Door'
super().__init__(Name=self.Name,Open=False,Locked=True,Skill=1000,Key=None)
def Open(self):
self.Open = True
def Close(self):
self.Open = False
def Lock(self):
self.Locked = True
def Unlock(self):
self.Locked = False
def Create_Key(self):
pass
def Label_Self(self):
pass
class Alley(CorePathway):
def __init__(self):
self.Name = 'Alley'
super().__init__(Name=self.Name,Open=False,Locked=True,Skill=1000,Key=None)
def Open(self):
self.Open = True
def Close(self):
self.Open = False
def Lock(self):
self.Locked = True
def Unlock(self):
self.Locked = False
def Create_Key(self):
pass
def Label_Self(self):
pass
| 17.668966
| 78
| 0.65808
| 362
| 2,562
| 4.491713
| 0.135359
| 0.177122
| 0.088561
| 0.081181
| 0.875154
| 0.875154
| 0.819803
| 0.749693
| 0.749693
| 0.749693
| 0
| 0.011994
| 0.21897
| 2,562
| 144
| 79
| 17.791667
| 0.8006
| 0.034738
| 0
| 0.865979
| 0
| 0
| 0.031801
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.43299
| false
| 0.123711
| 0.010309
| 0
| 0.505155
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 10
|
364418309d343117b23a7f9249f33a5d32ba83c4
| 338
|
py
|
Python
|
crypto_package/backtesting/__init__.py
|
TheOnlyCryptoParadise/crypto_package
|
6ed348712a2477babee16c2cfd87e1fb34584a86
|
[
"MIT"
] | null | null | null |
crypto_package/backtesting/__init__.py
|
TheOnlyCryptoParadise/crypto_package
|
6ed348712a2477babee16c2cfd87e1fb34584a86
|
[
"MIT"
] | 1
|
2021-11-15T21:55:10.000Z
|
2021-11-15T21:55:10.000Z
|
crypto_package/backtesting/__init__.py
|
TheOnlyCryptoParadise/crypto_package
|
6ed348712a2477babee16c2cfd87e1fb34584a86
|
[
"MIT"
] | null | null | null |
from .backtesting_bot import BacktestingBot
from .analyze_functions import plot_candles
from .analyze_functions import plot_profit
from .analyze_functions import plot_profit_per_pair
from .analyze_functions import plot_indicators
from .analyze_functions import get_candles_and_plot
from .analyze_functions import plot_patterns_on_candles
| 42.25
| 55
| 0.89645
| 47
| 338
| 6.042553
| 0.361702
| 0.232394
| 0.422535
| 0.549296
| 0.570423
| 0.253521
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08284
| 338
| 7
| 56
| 48.285714
| 0.916129
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
3676f76c22f8d6798ae435bb4bdc8727d4925a8b
| 31,298
|
py
|
Python
|
lib/datasets/voc_eval.py
|
zhbli/pytorch-faster-rcnn
|
de3f5a4db43e04a60e13578ad5bb09aa9834abd8
|
[
"MIT"
] | null | null | null |
lib/datasets/voc_eval.py
|
zhbli/pytorch-faster-rcnn
|
de3f5a4db43e04a60e13578ad5bb09aa9834abd8
|
[
"MIT"
] | null | null | null |
lib/datasets/voc_eval.py
|
zhbli/pytorch-faster-rcnn
|
de3f5a4db43e04a60e13578ad5bb09aa9834abd8
|
[
"MIT"
] | null | null | null |
# --------------------------------------------------------
# Fast/er R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Bharath Hariharan
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import xml.etree.ElementTree as ET
import os
import pickle
import numpy as np
import cv2
import matplotlib.pyplot as plt
def parse_rec(filename):
""" Parse a PASCAL VOC xml file """
tree = ET.parse(filename)
objects = []
for obj in tree.findall('object'):
obj_struct = {}
obj_struct['name'] = obj.find('name').text
obj_struct['pose'] = obj.find('pose').text
obj_struct['truncated'] = int(obj.find('truncated').text)
obj_struct['difficult'] = int(obj.find('difficult').text)
bbox = obj.find('bndbox')
obj_struct['bbox'] = [int(bbox.find('xmin').text),
int(bbox.find('ymin').text),
int(bbox.find('xmax').text),
int(bbox.find('ymax').text)]
objects.append(obj_struct)
return objects
def voc_ap(rec, prec, use_07_metric=False):
""" ap = voc_ap(rec, prec, [use_07_metric])
Compute VOC AP given precision and recall.
If use_07_metric is true, uses the
VOC 07 11 point method (default:False).
"""
if use_07_metric:
# 11 point metric
ap = 0.
for t in np.arange(0., 1.1, 0.1):
if np.sum(rec >= t) == 0:
p = 0
else:
p = np.max(prec[rec >= t])
ap = ap + p / 11.
else:
# correct AP calculation
# first append sentinel values at the end
mrec = np.concatenate(([0.], rec, [1.]))
mpre = np.concatenate(([0.], prec, [0.]))
# compute the precision envelope
for i in range(mpre.size - 1, 0, -1):
mpre[i - 1] = np.maximum(mpre[i - 1], mpre[i])
# to calculate area under PR curve, look for points
# where X axis (recall) changes value
i = np.where(mrec[1:] != mrec[:-1])[0]
# and sum (\Delta recall) * prec
ap = np.sum((mrec[i + 1] - mrec[i]) * mpre[i + 1])
return ap
# v3.2
def voc_eval_v32(detpath,
annopath,
imagesetfile,
classname,
cachedir,
ovthresh=0.5,
use_07_metric=False,
use_diff=False, roipath=''):
if not os.path.isdir(cachedir):
os.mkdir(cachedir)
cachefile = os.path.join(cachedir, '%s_annots.pkl' % imagesetfile)
# read list of images
with open(imagesetfile, 'r') as f:
lines = f.readlines()
imagenames = [x.strip() for x in lines]
if not os.path.isfile(cachefile):
# load annotations
recs = {}
for i, imagename in enumerate(imagenames):
recs[imagename] = parse_rec(annopath.format(imagename))
if i % 100 == 0:
print('Reading annotation for {:d}/{:d}'.format(
i + 1, len(imagenames)))
# save
print('Saving cached annotations to {:s}'.format(cachefile))
with open(cachefile, 'wb') as f:
pickle.dump(recs, f)
else:
# load
with open(cachefile, 'rb') as f:
try:
recs = pickle.load(f)
except:
recs = pickle.load(f, encoding='bytes')
# v3.0
det_results = {}
# v3.0
# extract gt objects for this class
class_recs = {}
npos = 0
for imagename in imagenames:
R = [obj for obj in recs[imagename] if obj['name'] == classname]
bbox = np.array([x['bbox'] for x in R])
truncated = np.array([x['truncated'] for x in R]).astype(np.bool)
if use_diff:
difficult = np.array([False for x in R]).astype(np.bool)
else:
difficult = np.array([x['difficult'] for x in R]).astype(np.bool)
det = [False] * len(R)
npos = npos + sum(~difficult)
class_recs[imagename] = {'bbox': bbox,
'difficult': difficult,
'det': det}
# v3.0
det_results[imagename] = {}
det_results[imagename]['gt'] = {}
det_results[imagename]['det'] = {}
det_results[imagename]['det']['bbox'] = np.zeros([0, 4])
det_results[imagename]['det']['score'] = []
det_results[imagename]['det']['result_info'] = []
det_results[imagename]['det']['overlap'] = []
det_results[imagename]['gt']['bbox'] = bbox
det_results[imagename]['gt']['difficult'] = difficult
det_results[imagename]['gt']['truncated'] = truncated
det_results[imagename]['gt']['detected'] = det
# v3.0
# read dets
detfile = detpath.format(classname)
roifile = roipath.format(classname)
with open(detfile, 'r') as f:
lines = f.readlines()
with open(roifile, 'r') as f:
lines_rois = f.readlines()
splitlines = [x.strip().split(' ') for x in lines]
splitlines_rois = [x.strip().split(' ') for x in lines_rois]
image_ids = [x[0] for x in splitlines]
confidence = np.array([float(x[1]) for x in splitlines])
BB = np.array([[float(z) for z in x[2:]] for x in splitlines])
rois = np.array([[float(z) for z in x[2:]] for x in splitlines_rois])
nd = len(image_ids)
tp = np.zeros(nd)
fp = np.zeros(nd)
fp_img = [None] * nd
# zhbli(1): write false negative info
false_positive_file_name = 'output/%s_false_positive.txt' % (classname)
false_positive_rois_file_name = 'output/%s_false_positive_rois.txt' % (classname)
false_positive_file = open(false_positive_file_name, 'wb')
false_positive_rois_file = open(false_positive_rois_file_name, 'wb')
fp_table = [[] for i in range(npos)]
fp_table_rois = [[] for i in range(npos)]
fp_idx = 0
if BB.shape[0] > 0:
# sort by confidence
sorted_ind = np.argsort(-confidence)
sorted_scores = np.sort(-confidence)
BB = BB[sorted_ind, :]
rois = rois[sorted_ind, :]
image_ids = [image_ids[x] for x in sorted_ind]
# go down dets and mark TPs and FPs
for d in range(nd):
R = class_recs[image_ids[d]]
bb = BB[d, :].astype(float)
roi = rois[d, :].astype(float)
ovmax = -np.inf
BBGT = R['bbox'].astype(float)
if BBGT.size > 0:
# compute overlaps
# intersection
ixmin = np.maximum(BBGT[:, 0], bb[0])
iymin = np.maximum(BBGT[:, 1], bb[1])
ixmax = np.minimum(BBGT[:, 2], bb[2])
iymax = np.minimum(BBGT[:, 3], bb[3])
iw = np.maximum(ixmax - ixmin + 1., 0.)
ih = np.maximum(iymax - iymin + 1., 0.)
inters = iw * ih
# union
uni = ((bb[2] - bb[0] + 1.) * (bb[3] - bb[1] + 1.) +
(BBGT[:, 2] - BBGT[:, 0] + 1.) *
(BBGT[:, 3] - BBGT[:, 1] + 1.) - inters)
overlaps = inters / uni
ovmax = np.max(overlaps)
jmax = np.argmax(overlaps)
if ovmax > ovthresh:
if not R['difficult'][jmax]:
if not R['det'][jmax]:
tp[d] = 1.
R['det'][jmax] = 1
# v3.0
det_results[image_ids[d]]['gt']['detected'][jmax] = 1 # the jmax'th gt is detected.
det_results[image_ids[d]]['det']['bbox'] = np.append(det_results[image_ids[d]]['det']['bbox'],
np.expand_dims(bb, 0), axis=0)
det_results[image_ids[d]]['det']['score'].append(-sorted_scores[d])
det_results[image_ids[d]]['det']['result_info'].append('correct')
det_results[image_ids[d]]['det']['overlap'].append(ovmax)
# v3.0
else:
fp[d] = 1.
fp_img[d] = image_ids[d]
# v3.0
if -sorted_scores[d] > 0.1:
det_results[image_ids[d]]['det']['bbox'] = np.append(
det_results[image_ids[d]]['det']['bbox'],
np.expand_dims(bb, 0), axis=0)
det_results[image_ids[d]]['det']['score'].append(-sorted_scores[d])
det_results[image_ids[d]]['det']['result_info'].append('err_repeat')
det_results[image_ids[d]]['det']['overlap'].append(ovmax)
# v3.0
# zhbli(2): write false negative info
if d < npos:
fp_table[fp_idx] = [[image_ids[d], classname, 'err_repeat'] + bb.tolist(), BBGT.tolist(),
-sorted_scores[d].tolist()]
fp_table_rois[fp_idx] = [[image_ids[d], classname, 'err_repeat'] + roi.tolist(),
BBGT.tolist(), -sorted_scores[d].tolist()]
fp_idx = fp_idx + 1
else:
fp[d] = 1.
fp_img[d] = image_ids[d]
# v3.0
if -sorted_scores[d] > 0.1:
det_results[image_ids[d]]['det']['bbox'] = np.append(det_results[image_ids[d]]['det']['bbox'],
np.expand_dims(bb, 0), axis=0)
det_results[image_ids[d]]['det']['score'].append(-sorted_scores[d])
det_results[image_ids[d]]['det']['result_info'].append('err_lowIoU')
det_results[image_ids[d]]['det']['overlap'].append(ovmax)
# v3.0
# zhbli(3): write false negative info
if d < npos:
fp_table[fp_idx] = [[image_ids[d], classname, 'err_lowIoU'] + bb.tolist(), BBGT.tolist(),
-sorted_scores[d].tolist()]
fp_table_rois[fp_idx] = [[image_ids[d], classname, 'err_repeat'] + roi.tolist(), BBGT.tolist(),
-sorted_scores[d].tolist()]
fp_idx = fp_idx + 1
# zhbli(4): write false negative info
pickle.dump(fp_table, false_positive_file)
pickle.dump(fp_table_rois, false_positive_rois_file)
false_positive_file.close()
false_positive_rois_file.close()
file = open('/home/zhbli/temp/fp_im_name.txt', 'w')
file.write(str(fp_img))
file.close()
# v3.1
if not os.path.exists('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn_err-det'):
os.mkdir('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn_err-det')
if not os.path.exists('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn_err-det/{:s}'.format(classname)):
os.mkdir('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn_err-det/{:s}'.format(classname))
# no missed, no fp
if not os.path.exists('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn_err-det/{:s}/false_positive'.format(classname)):
os.mkdir('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn_err-det/{:s}/false_positive'.format(classname))
# no gt, fp
if not os.path.exists('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn_err-det/{:s}/missed_gt'.format(classname)):
os.mkdir('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn_err-det/{:s}/missed_gt'.format(classname))
# v3.1
# v3.0
for i in det_results:
# for every img
has_fp = 0
has_missed_gt = 0
img_name = i
if not det_results.__contains__(img_name):
continue
gt_num = det_results[img_name]['gt']['bbox'].shape[0]
det_num = det_results[img_name]['det']['bbox'].shape[0]
if gt_num != 0 or det_num != 0:
print('img: {:s}'.format(img_name))
im_file = '/data/zhbli/VOCdevkit/VOC2007/JPEGImages/%s.jpg' % img_name
im = cv2.imread(im_file)
im = im[:, :, (2, 1, 0)]
fig, ax = plt.subplots(figsize=(12, 12))
ax.imshow(im, aspect='equal')
else:
continue # If the img has no gt and no det, will not save this img.
if gt_num != 0:
for j in range(gt_num):
bbox = det_results[img_name]['gt']['bbox'][j]
difficult = det_results[img_name]['gt']['difficult'][j]
truncated = det_results[img_name]['gt']['truncated'][j]
detected = det_results[img_name]['gt']['detected'][j]
if detected == 1: # If the gt is found
ax.add_patch(
plt.Rectangle((bbox[0], bbox[1]),
bbox[2] - bbox[0],
bbox[3] - bbox[1], fill=False, edgecolor='blue',
linewidth=1.5, linestyle='solid')
)
ax.text(bbox[0], bbox[1] - 2,
'gt: difficult: {:d}, detected: {:d}, truncated: {:d}'.format(int(difficult), int(detected),
int(truncated)),
bbox=dict(facecolor='blue', alpha=0.5),
fontsize=8, color='white')
elif difficult == 0: # will not save difficult gt.
has_missed_gt = 1
ax.add_patch(
plt.Rectangle((bbox[0], bbox[1]),
bbox[2] - bbox[0],
bbox[3] - bbox[1], fill=False, edgecolor='yellow',
linewidth=1.5, linestyle='solid')
)
ax.text(bbox[0], bbox[1] - 2,
'gt: difficult: {:d}, detected: {:d}, truncated: {:d}'.format(int(difficult), int(detected),
int(truncated)),
bbox=dict(facecolor='yellow', alpha=0.5),
fontsize=8, color='white')
if det_num != 0:
for j in range(det_num):
bbox = det_results[img_name]['det']['bbox'][j]
score = det_results[img_name]['det']['score'][j]
result_info = det_results[img_name]['det']['result_info'][j]
overlap = det_results[img_name]['det']['overlap'][j]
if result_info == 'correct':
ax.add_patch(
plt.Rectangle((bbox[0], bbox[1]),
bbox[2] - bbox[0],
bbox[3] - bbox[1], fill=False, edgecolor='green',
linewidth=1.5, linestyle='dashed'))
ax.text(bbox[0], bbox[3],
'{:s}, score={:f}, overlap={:f}'.format(result_info, score, overlap),
bbox=dict(facecolor='green', alpha=0.5),
fontsize=8, color='white')
elif score > 0.5:
has_fp = 1
ax.add_patch(
plt.Rectangle((bbox[0], bbox[1]),
bbox[2] - bbox[0],
bbox[3] - bbox[1], fill=False, edgecolor='red',
linewidth=1.5, linestyle='dashed')
)
ax.text(bbox[0], bbox[3],
'{:s}, score={:f}, overlap={:f}'.format(result_info, score, overlap),
bbox=dict(facecolor='red', alpha=0.5),
fontsize=8, color='white')
ax.set_title('img_name: {:s}, class: {:s}'.format(img_name, classname),
fontsize=14)
plt.axis('off')
plt.tight_layout()
if has_fp:
plt.savefig(
'/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn_err-det/{:s}/false_positive/{:s}.jpg'.format(
classname,
img_name))
if has_missed_gt:
plt.savefig(
'/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn_err-det/{:s}/missed_gt/{:s}.jpg'.format(
classname,
img_name))
# v3.0
# compute precision recall
fp = np.cumsum(fp)
tp = np.cumsum(tp)
rec = tp / float(npos)
# avoid divide by zero in case the first detection matches a difficult
# ground truth
prec = tp / np.maximum(tp + fp, np.finfo(np.float64).eps)
ap = voc_ap(rec, prec, use_07_metric)
return rec, prec, ap
def voc_eval(detpath,
annopath,
imagesetfile,
classname,
cachedir,
ovthresh=0.5,
use_07_metric=False,
use_diff=False, roipath=''):
"""rec, prec, ap = voc_eval(detpath,
annopath,
imagesetfile,
classname,
[ovthresh],
[use_07_metric])
Top level function that does the PASCAL VOC evaluation.
detpath: Path to detections
detpath.format(classname) should produce the detection results file.
annopath: Path to annotations
annopath.format(imagename) should be the xml annotations file.
imagesetfile: Text file containing the list of images, one image per line.
classname: Category name (duh)
cachedir: Directory for caching the annotations
[ovthresh]: Overlap threshold (default = 0.5)
[use_07_metric]: Whether to use VOC07's 11 point AP computation
(default False)
"""
# assumes detections are in detpath.format(classname)
# assumes annotations are in annopath.format(imagename)
# assumes imagesetfile is a text file with each line an image name
# cachedir caches the annotations in a pickle file
# first load gt
if not os.path.isdir(cachedir):
os.mkdir(cachedir)
cachefile = os.path.join(cachedir, '%s_annots.pkl' % imagesetfile)
# read list of images
with open(imagesetfile, 'r') as f:
lines = f.readlines()
imagenames = [x.strip() for x in lines]
if not os.path.isfile(cachefile):
# load annotations
recs = {}
for i, imagename in enumerate(imagenames):
recs[imagename] = parse_rec(annopath.format(imagename))
if i % 100 == 0:
print('Reading annotation for {:d}/{:d}'.format(
i + 1, len(imagenames)))
# save
print('Saving cached annotations to {:s}'.format(cachefile))
with open(cachefile, 'wb') as f:
pickle.dump(recs, f)
else:
# load
with open(cachefile, 'rb') as f:
try:
recs = pickle.load(f)
except:
recs = pickle.load(f, encoding='bytes')
# v3.0
det_results = {}
# v3.0
# extract gt objects for this class
class_recs = {}
npos = 0
for imagename in imagenames:
R = [obj for obj in recs[imagename] if obj['name'] == classname]
bbox = np.array([x['bbox'] for x in R])
truncated = np.array([x['truncated'] for x in R]).astype(np.bool)
if use_diff:
difficult = np.array([False for x in R]).astype(np.bool)
else:
difficult = np.array([x['difficult'] for x in R]).astype(np.bool)
det = [False] * len(R)
npos = npos + sum(~difficult)
class_recs[imagename] = {'bbox': bbox,
'difficult': difficult,
'det': det}
# v3.0
det_results[imagename] = {}
det_results[imagename]['gt'] = {}
det_results[imagename]['det'] = {}
det_results[imagename]['det']['bbox'] = np.zeros([0,4])
det_results[imagename]['det']['score'] = []
det_results[imagename]['det']['result_info'] = []
det_results[imagename]['det']['overlap'] = []
det_results[imagename]['gt']['bbox'] = bbox
det_results[imagename]['gt']['difficult'] = difficult
det_results[imagename]['gt']['truncated'] = truncated
det_results[imagename]['gt']['detected'] = det
# v3.0
# read dets
detfile = detpath.format(classname)
roifile = roipath.format(classname)
with open(detfile, 'r') as f:
lines = f.readlines()
with open(roifile, 'r') as f:
lines_rois = f.readlines()
splitlines = [x.strip().split(' ') for x in lines]
splitlines_rois = [x.strip().split(' ') for x in lines_rois]
image_ids = [x[0] for x in splitlines]
confidence = np.array([float(x[1]) for x in splitlines])
BB = np.array([[float(z) for z in x[2:]] for x in splitlines])
rois = np.array([[float(z) for z in x[2:]] for x in splitlines_rois])
nd = len(image_ids)
tp = np.zeros(nd)
fp = np.zeros(nd)
#zhbli(1): write false negative info
false_positive_file_name = 'output/%s_false_positive.txt' % (classname)
false_positive_rois_file_name = 'output/%s_false_positive_rois.txt' % (classname)
false_positive_file = open(false_positive_file_name, 'wb')
false_positive_rois_file = open(false_positive_rois_file_name, 'wb')
fp_table = [[] for i in range(npos)]
fp_table_rois = [[] for i in range(npos)]
fp_idx = 0
if BB.shape[0] > 0:
# sort by confidence
sorted_ind = np.argsort(-confidence)
sorted_scores = np.sort(-confidence)
BB = BB[sorted_ind, :]
rois = rois[sorted_ind, :]
image_ids = [image_ids[x] for x in sorted_ind]
# go down dets and mark TPs and FPs
for d in range(nd):
R = class_recs[image_ids[d]]
bb = BB[d, :].astype(float)
roi = rois[d, :].astype(float)
ovmax = -np.inf
BBGT = R['bbox'].astype(float)
if BBGT.size > 0:
# compute overlaps
# intersection
ixmin = np.maximum(BBGT[:, 0], bb[0])
iymin = np.maximum(BBGT[:, 1], bb[1])
ixmax = np.minimum(BBGT[:, 2], bb[2])
iymax = np.minimum(BBGT[:, 3], bb[3])
iw = np.maximum(ixmax - ixmin + 1., 0.)
ih = np.maximum(iymax - iymin + 1., 0.)
inters = iw * ih
# union
uni = ((bb[2] - bb[0] + 1.) * (bb[3] - bb[1] + 1.) +
(BBGT[:, 2] - BBGT[:, 0] + 1.) *
(BBGT[:, 3] - BBGT[:, 1] + 1.) - inters)
overlaps = inters / uni
ovmax = np.max(overlaps)
jmax = np.argmax(overlaps)
if ovmax > ovthresh:
if not R['difficult'][jmax]:
if not R['det'][jmax]:
tp[d] = 1.
R['det'][jmax] = 1
# v3.0
det_results[image_ids[d]]['gt']['detected'][jmax] = 1 # the jmax'th gt is detected.
det_results[image_ids[d]]['det']['bbox'] = np.append(det_results[image_ids[d]]['det']['bbox'], np.expand_dims(bb, 0), axis=0)
det_results[image_ids[d]]['det']['score'].append(-sorted_scores[d])
det_results[image_ids[d]]['det']['result_info'].append('correct')
det_results[image_ids[d]]['det']['overlap'].append(ovmax)
# v3.0
else:
fp[d] = 1.
# v3.0
if -sorted_scores[d] > 0.1:
det_results[image_ids[d]]['det']['bbox'] = np.append(det_results[image_ids[d]]['det']['bbox'],
np.expand_dims(bb, 0), axis=0)
det_results[image_ids[d]]['det']['score'].append(-sorted_scores[d])
det_results[image_ids[d]]['det']['result_info'].append('err_repeat')
det_results[image_ids[d]]['det']['overlap'].append(ovmax)
# v3.0
#zhbli(2): write false negative info
if d < npos:
fp_table[fp_idx] = [[image_ids[d], classname, 'err_repeat'] + bb.tolist(), BBGT.tolist(), -sorted_scores[d].tolist()]
fp_table_rois[fp_idx] = [[image_ids[d], classname, 'err_repeat'] + roi.tolist(), BBGT.tolist(), -sorted_scores[d].tolist()]
fp_idx = fp_idx + 1
else:
fp[d] = 1.
# v3.0
if -sorted_scores[d] > 0.1:
det_results[image_ids[d]]['det']['bbox'] = np.append(det_results[image_ids[d]]['det']['bbox'],
np.expand_dims(bb, 0), axis=0)
det_results[image_ids[d]]['det']['score'].append(-sorted_scores[d])
det_results[image_ids[d]]['det']['result_info'].append('err_lowIoU')
det_results[image_ids[d]]['det']['overlap'].append(ovmax)
# v3.0
# zhbli(3): write false negative info
if d < npos:
fp_table[fp_idx] = [[image_ids[d], classname, 'err_lowIoU'] + bb.tolist(), BBGT.tolist(), -sorted_scores[d].tolist()]
fp_table_rois[fp_idx] = [[image_ids[d], classname, 'err_repeat'] + roi.tolist(), BBGT.tolist(), -sorted_scores[d].tolist()]
fp_idx = fp_idx + 1
# zhbli(4): write false negative info
pickle.dump(fp_table, false_positive_file)
pickle.dump(fp_table_rois, false_positive_rois_file)
false_positive_file.close()
false_positive_rois_file.close()
# v3.1
if not os.path.exists('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}'.format(classname)):
os.mkdir('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}'.format(classname))
# no missed, no fp
if not os.path.exists('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}/correct'.format(classname)):
os.mkdir('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}/correct'.format(classname))
# no gt, fp
if not os.path.exists('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}/no_gt_fp'.format(classname)):
os.mkdir('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}/no_gt_fp'.format(classname))
# other
if not os.path.exists('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}/other'.format(classname)):
os.mkdir('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}/other'.format(classname))
# v3.1
# v3.0
for i in det_results:
# for every img
img_name = i
gt_num = det_results[img_name]['gt']['bbox'].shape[0]
det_num = det_results[img_name]['det']['bbox'].shape[0]
if gt_num != 0 or det_num != 0:
print('saving img: {:s}'.format(img_name))
im_file = '/data/zhbli/VOCdevkit/VOC2007/JPEGImages/%s.jpg' % img_name
im = cv2.imread(im_file)
im = im[:, :, (2, 1, 0)]
fig, ax = plt.subplots(figsize=(12, 12))
ax.imshow(im, aspect='equal')
else:
continue # If the img has no gt and no det, will not save this img.
if gt_num != 0:
for j in range(gt_num):
bbox = det_results[img_name]['gt']['bbox'][j]
difficult = det_results[img_name]['gt']['difficult'][j]
truncated = det_results[img_name]['gt']['truncated'][j]
detected = det_results[img_name]['gt']['detected'][j]
if detected == 1: # If the gt is found
ax.add_patch(
plt.Rectangle((bbox[0], bbox[1]),
bbox[2] - bbox[0],
bbox[3] - bbox[1], fill=False, edgecolor='blue',
linewidth=1.5, linestyle='solid')
)
ax.text(bbox[0], bbox[1] - 2,
'gt: difficult: {:d}, detected: {:d}, truncated: {:d}'.format(int(difficult), int(detected),
int(truncated)),
bbox=dict(facecolor='blue', alpha=0.5),
fontsize=8, color='white')
else:
ax.add_patch(
plt.Rectangle((bbox[0], bbox[1]),
bbox[2] - bbox[0],
bbox[3] - bbox[1], fill=False, edgecolor='yellow',
linewidth=1.5, linestyle='solid')
)
ax.text(bbox[0], bbox[1] - 2,
'gt: difficult: {:d}, detected: {:d}, truncated: {:d}'.format(int(difficult), int(detected), int(truncated)),
bbox=dict(facecolor='yellow', alpha=0.5),
fontsize=8, color='white')
if det_num != 0:
for j in range(det_num):
bbox = det_results[img_name]['det']['bbox'][j]
score = det_results[img_name]['det']['score'][j]
result_info = det_results[img_name]['det']['result_info'][j]
overlap = det_results[img_name]['det']['overlap'][j]
if result_info == 'correct':
ax.add_patch(
plt.Rectangle((bbox[0], bbox[1]),
bbox[2] - bbox[0],
bbox[3] - bbox[1], fill=False, edgecolor='green',
linewidth=1.5, linestyle='dashed'))
ax.text(bbox[0], bbox[3],
'{:s}, score={:f}, overlap={:f}'.format(result_info, score, overlap),
bbox=dict(facecolor='green', alpha=0.5),
fontsize=8, color='white')
else:
ax.add_patch(
plt.Rectangle((bbox[0], bbox[1]),
bbox[2] - bbox[0],
bbox[3] - bbox[1], fill=False, edgecolor='red',
linewidth=1.5, linestyle='dashed')
)
ax.text(bbox[0], bbox[3],
'{:s}, score={:f}, overlap={:f}'.format(result_info, score, overlap),
bbox=dict(facecolor='red', alpha=0.5),
fontsize=8, color='white')
ax.set_title('img_name: {:s}, class: {:s}'.format(img_name, classname),
fontsize=14)
plt.axis('off')
plt.tight_layout()
if gt_num == 0:
plt.savefig('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}/no_gt_fp/{:s}.jpg'.format(classname, img_name))
elif det_num != 0 and det_results[img_name]['det']['result_info'].count('correct')==len(det_results[img_name]['det']['result_info']) \
and det_results[img_name]['gt']['detected'].count(1) == len(det_results[img_name]['gt']['detected']):
plt.savefig('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}/correct/{:s}.jpg'.format(classname, img_name))
else:
plt.savefig('/data/zhbli/VOCdevkit/results/VOC2007/vgg16_faster-rcnn/{:s}/other/{:s}.jpg'.format(classname, img_name))
# v3.0
# compute precision recall
fp = np.cumsum(fp)
tp = np.cumsum(tp)
rec = tp / float(npos)
# avoid divide by zero in case the first detection matches a difficult
# ground truth
prec = tp / np.maximum(tp + fp, np.finfo(np.float64).eps)
ap = voc_ap(rec, prec, use_07_metric)
return rec, prec, ap
| 42.698499
| 140
| 0.519682
| 3,883
| 31,298
| 4.055112
| 0.092197
| 0.052712
| 0.025149
| 0.036581
| 0.869618
| 0.86803
| 0.856471
| 0.8512
| 0.849105
| 0.849105
| 0
| 0.025394
| 0.329382
| 31,298
| 732
| 141
| 42.756831
| 0.724808
| 0.094862
| 0
| 0.817844
| 0
| 0.009294
| 0.127325
| 0.062686
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007435
| false
| 0
| 0.016729
| 0
| 0.031599
| 0.013011
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
36845e14643856a839f8f0f036d4c1718c92378c
| 141
|
py
|
Python
|
protonets/models/__init__.py
|
lucast4/prototypical_networks
|
11b5c2e57250d90b0d87c2495502f0f1706591a2
|
[
"MIT"
] | null | null | null |
protonets/models/__init__.py
|
lucast4/prototypical_networks
|
11b5c2e57250d90b0d87c2495502f0f1706591a2
|
[
"MIT"
] | null | null | null |
protonets/models/__init__.py
|
lucast4/prototypical_networks
|
11b5c2e57250d90b0d87c2495502f0f1706591a2
|
[
"MIT"
] | 1
|
2018-08-26T15:35:25.000Z
|
2018-08-26T15:35:25.000Z
|
from prototypical_networks.protonets.models.factory import get_model, register_model
import prototypical_networks.protonets.models.few_shot
| 35.25
| 84
| 0.893617
| 18
| 141
| 6.722222
| 0.666667
| 0.330579
| 0.479339
| 0.578512
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.056738
| 141
| 3
| 85
| 47
| 0.909774
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
368f860d729982944928cd69bd80a316f8f6c987
| 550
|
py
|
Python
|
Desafios/Desafio109/moeda.py
|
julianascimentosantos/cursoemvideo-python3
|
34361c9c9cfa3d511257e51608168c1325deaa9e
|
[
"MIT"
] | null | null | null |
Desafios/Desafio109/moeda.py
|
julianascimentosantos/cursoemvideo-python3
|
34361c9c9cfa3d511257e51608168c1325deaa9e
|
[
"MIT"
] | null | null | null |
Desafios/Desafio109/moeda.py
|
julianascimentosantos/cursoemvideo-python3
|
34361c9c9cfa3d511257e51608168c1325deaa9e
|
[
"MIT"
] | null | null | null |
def aumentar(preço, taxa, formato=False):
res = preço + (preço * taxa/100)
return res if formato is False else moeda(res)
def diminuir(preço, taxa, formato=False):
res = preço - (preço * taxa/100)
return res if formato is False else moeda(res)
def dobro(preço, formato=False):
res = preço * 2
return res if not formato else moeda(res)
def metade(preço, formato=False):
res = preço / 2
return res if not formato else moeda(res)
def moeda(valor, moeda='R$'):
return f'{moeda}{valor:>8.2f}'.replace('.', ',')
| 23.913043
| 52
| 0.652727
| 84
| 550
| 4.27381
| 0.285714
| 0.100279
| 0.167131
| 0.222841
| 0.796657
| 0.796657
| 0.796657
| 0.796657
| 0.796657
| 0.796657
| 0
| 0.023148
| 0.214545
| 550
| 22
| 53
| 25
| 0.80787
| 0
| 0
| 0.285714
| 0
| 0
| 0.043636
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.357143
| false
| 0
| 0
| 0.071429
| 0.714286
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3695511b5e7fa17ef88ea3612673f387031128d6
| 9,944
|
py
|
Python
|
sequence_labeling/layer/highway.py
|
stevezheng23/sequence_labeling_tf
|
05fcbec15e359e3db86af6c3798c13be8a6c58ee
|
[
"Apache-2.0"
] | 17
|
2019-02-27T06:49:30.000Z
|
2020-03-27T23:10:17.000Z
|
sequence_labeling/layer/highway.py
|
stevezheng23/sequence_labeling_tf
|
05fcbec15e359e3db86af6c3798c13be8a6c58ee
|
[
"Apache-2.0"
] | 3
|
2019-07-29T08:11:25.000Z
|
2021-03-23T05:22:29.000Z
|
sequence_labeling/layer/highway.py
|
stevezheng23/sequence_labeling_tf
|
05fcbec15e359e3db86af6c3798c13be8a6c58ee
|
[
"Apache-2.0"
] | 1
|
2020-07-18T15:07:04.000Z
|
2020-07-18T15:07:04.000Z
|
import numpy as np
import tensorflow as tf
from util.default_util import *
from util.sequence_labeling_util import *
from layer.basic import *
__all__ = ["Highway", "ConvHighway", "StackedHighway", "StackedConvHighway"]
class Highway(object):
"""highway layer"""
def __init__(self,
unit_dim,
activation,
dropout,
num_gpus=1,
default_gpu_id=0,
regularizer=None,
random_seed=0,
trainable=True,
scope="highway"):
"""initialize highway layer"""
self.unit_dim = unit_dim
self.activation = activation
self.dropout = dropout
self.regularizer = regularizer
self.random_seed = random_seed
self.trainable = trainable
self.scope = scope
self.device_spec = get_device_spec(default_gpu_id, num_gpus)
with tf.variable_scope(self.scope, reuse=tf.AUTO_REUSE), tf.device(self.device_spec):
weight_initializer = create_variable_initializer("glorot_uniform", self.random_seed)
bias_initializer = create_variable_initializer("zero")
transform_activation = create_activation_function(self.activation)
gate_activation = create_activation_function("sigmoid")
self.transform_layer = tf.layers.Dense(units=self.unit_dim, activation=transform_activation, use_bias=True,
kernel_initializer=weight_initializer, bias_initializer=bias_initializer,
kernel_regularizer=self.regularizer, bias_regularizer=self.regularizer, trainable=self.trainable)
self.gate_layer = tf.layers.Dense(units=self.unit_dim, activation=gate_activation, use_bias=True,
kernel_initializer=weight_initializer, bias_initializer=bias_initializer,
kernel_regularizer=self.regularizer, bias_regularizer=self.regularizer, trainable=self.trainable)
self.dropout_layer = Dropout(rate=self.dropout, num_gpus=num_gpus,
default_gpu_id=default_gpu_id, random_seed=self.random_seed)
def __call__(self,
input_data,
input_mask):
"""call highway layer"""
with tf.variable_scope(self.scope, reuse=tf.AUTO_REUSE), tf.device(self.device_spec):
transform, _ = self.dropout_layer(self.transform_layer(input_data), input_mask)
gate = self.gate_layer(input_data)
output_highway = transform * gate + input_data * (1 - gate)
output_mask = input_mask
return output_highway, output_mask
class ConvHighway(object):
"""convolutional highway layer"""
def __init__(self,
num_filter,
window_size,
activation,
dropout,
num_gpus=1,
default_gpu_id=0,
regularizer=None,
random_seed=0,
trainable=True,
scope="conv_highway"):
"""initialize convolutional highway layer"""
self.num_filter = num_filter
self.window_size = window_size
self.activation = activation
self.dropout = dropout
self.regularizer = regularizer
self.random_seed = random_seed
self.trainable = trainable
self.scope = scope
self.device_spec = get_device_spec(default_gpu_id, num_gpus)
with tf.variable_scope(self.scope, reuse=tf.AUTO_REUSE), tf.device(self.device_spec):
weight_initializer = create_variable_initializer("glorot_uniform", self.m_seed)
bias_initializer = create_variable_initializer("zero")
transform_activation = create_activation_function(self.activation)
gate_activation = create_activation_function("sigmoid")
self.transform_layer = tf.layers.Conv1D(filters=self.num_filter, kernel_size=window_size,
strides=1, padding="SAME", activation=transform_activation, use_bias=True,
kernel_initializer=weight_initializer, bias_initializer=bias_initializer,
kernel_regularizer=self.regularizer, bias_regularizer=self.regularizer, trainable=trainable)
self.gate_layer = tf.layers.Conv1D(filters=self.num_filter, kernel_size=window_size,
strides=1, padding="SAME", activation=gate_activation, use_bias=True,
kernel_initializer=weight_initializer, bias_initializer=bias_initializer,
kernel_regularizer=self.regularizer, bias_regularizer=self.regularizer, trainable=trainable)
self.dropout_layer = Dropout(rate=self.dropout, num_gpus=num_gpus,
default_gpu_id=default_gpu_id, random_seed=self.random_seed)
def __call__(self,
input_data,
input_mask):
"""call convolutional highway layer"""
with tf.variable_scope(self.scope, reuse=tf.AUTO_REUSE), tf.device(self.device_spec):
transform, _ = self.dropout_layer(self.transform_layer(input_data), input_mask)
gate = self.gate_layer(input_data)
output_highway = transform * gate + input_data * (1 - gate)
output_mask = input_mask
return output_highway, output_mask
class StackedHighway(object):
"""stacked highway layer"""
def __init__(self,
num_layer,
unit_dim,
activation,
dropout,
num_gpus=1,
default_gpu_id=0,
regularizer=None,
random_seed=0,
trainable=True,
scope="stacked_highway"):
"""initialize stacked highway layer"""
self.num_layer = num_layer
self.unit_dim = unit_dim
self.activation = activation
self.dropout = dropout
self.num_gpus = num_gpus
self.default_gpu_id = default_gpu_id
self.regularizer = regularizer
self.random_seed = random_seed
self.trainable = trainable
self.scope = scope
self.device_spec = get_device_spec(default_gpu_id, num_gpus)
with tf.variable_scope(self.scope, reuse=tf.AUTO_REUSE), tf.device(self.device_spec):
self.highway_layer_list = []
for i in range(self.num_layer):
layer_scope = "layer_{0}".format(i)
sublayer_dropout = self.dropout[i] if self.dropout != None else 0.0
highway_layer = Highway(unit_dim=self.unit_dim, activation=self.activation,
dropout=sublayer_dropout, num_gpus=self.num_gpus, default_gpu_id=self.default_gpu_id,
regularizer=self.regularizer, random_seed=self.random_seed, trainable=self.trainable, scope=layer_scope)
self.highway_layer_list.append(highway_layer)
def __call__(self,
input_data,
input_mask):
"""call stacked highway layer"""
with tf.variable_scope(self.scope, reuse=tf.AUTO_REUSE), tf.device(self.device_spec):
input_highway = input_data
input_highway_mask = input_mask
for highway_layer in self.highway_layer_list:
input_highway, input_highway_mask = highway_layer(input_highway, input_highway_mask)
output_highway = input_highway
output_mask = input_highway_mask
return output_highway, output_mask
class StackedConvHighway(object):
"""stacked convolution highway layer"""
def __init__(self,
num_layer,
num_filter,
window_size,
activation,
dropout,
num_gpus=1,
default_gpu_id=0,
regularizer=None,
random_seed=0,
trainable=True,
scope="stacked_conv_highway"):
"""initialize stacked convolution highway layer"""
self.num_layer = num_layer
self.num_filter = num_filter
self.unit_dim = unit_dim
self.window_size = window_size
self.dropout = dropout
self.num_gpus = num_gpus
self.default_gpu_id = default_gpu_id
self.regularizer = regularizer
self.random_seed = random_seed
self.trainable = trainable
self.scope = scope
self.device_spec = get_device_spec(default_gpu_id, num_gpus)
with tf.variable_scope(self.scope, reuse=tf.AUTO_REUSE), tf.device(self.device_spec):
self.highway_layer_list = []
for i in range(self.num_layer):
layer_scope = "layer_{0}".format(i)
sublayer_dropout = self.dropout[i] if self.dropout != None else 0.0
highway_layer = ConvHighway(num_filter=self.num_filter, window_size=self.window_size,
activation=self.activation, dropout=sublayer_dropout, num_gpus=self.num_gpus, default_gpu_id=self.default_gpu_id,
regularizer=self.regularizer, random_seed=self.random_seed, trainable=self.trainable, scope=layer_scope)
self.highway_layer_list.append(highway_layer)
def __call__(self,
input_data,
input_mask):
"""call stacked convolution highway layer"""
with tf.variable_scope(self.scope, reuse=tf.AUTO_REUSE), tf.device(self.device_spec):
input_highway = input_data
input_highway_mask = input_mask
for highway_layer in self.highway_layer_list:
input_highway, input_highway_mask = highway_layer(input_highway, input_highway_mask)
output_highway = input_highway
output_mask = input_highway_mask
return output_highway, output_mask
| 45.406393
| 134
| 0.627011
| 1,093
| 9,944
| 5.36871
| 0.086002
| 0.05317
| 0.0409
| 0.025903
| 0.914451
| 0.906612
| 0.891445
| 0.870995
| 0.860259
| 0.850886
| 0
| 0.003428
| 0.295857
| 9,944
| 218
| 135
| 45.614679
| 0.834619
| 0.035901
| 0
| 0.855556
| 0
| 0
| 0.018896
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.044444
| false
| 0
| 0.027778
| 0
| 0.116667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
36c744d4c7bc7883b6802d3153b11c0dfb73879f
| 10,638
|
py
|
Python
|
tasks/tasks_fetch_snapchat.py
|
xyla-io/almacen
|
7b7f235dc7939777f971f1b5eadd5621e980c15e
|
[
"MIT"
] | 2
|
2020-10-15T22:12:17.000Z
|
2020-10-26T07:17:17.000Z
|
tasks/tasks_fetch_snapchat.py
|
xyla-io/almacen
|
7b7f235dc7939777f971f1b5eadd5621e980c15e
|
[
"MIT"
] | null | null | null |
tasks/tasks_fetch_snapchat.py
|
xyla-io/almacen
|
7b7f235dc7939777f971f1b5eadd5621e980c15e
|
[
"MIT"
] | null | null | null |
import models
import sys, os
from . import base
from . import tasks_fetch_entity
from azrael import SnapchatAPI
from typing import Dict, List, Optional
class FetchSnapchatReportTask(base.FetchReportTask):
api: Optional[SnapchatAPI]
campaigns: List[Dict[str, any]] = []
ad_squads: List[Dict[str, any]] = []
ads: List[Dict[str, any]] = []
@property
def debug_description(self) -> str:
return '{}: {} ({}) — {}'.format(
self.company_display_name,
self.app_display_name,
self.ad_account_id,
self.task_type.value,
)
@property
def ad_account_id(self) -> int:
return self.task_set.config['ad_account_id']
@property
def app_display_name(self) -> Optional[str]:
assert len(self.task_set.products) == 1
return self.task_set.products[0].display_name
@property
def task_identifier_columns(self) -> Dict[str, any]:
return {
'ad_account_id': self.ad_account_id,
}
@property
def view_attribution_window(self) -> Optional[str]:
config = self.task_set.config
return config['view_attribution_window'] if 'view_attribution_window' in config else None
@property
def swipe_up_attribution_window(self) -> Optional[str]:
config = self.task_set.config
return config['swipe_up_attribution_window'] if 'swipe_up_attribution_window' in config else None
class FetchSnapchatCampaignsReportTask(FetchSnapchatReportTask, tasks_fetch_entity.FetchCampaignReportTask):
@property
def task_type(self) -> models.ReportTaskType:
return models.ReportTaskType.fetch_snapchat_campaigns
@property
def report_table_model(self) -> models.ReportTableModel:
return models.SnapchatCampaignReportTableModel(schema_name=self.report_table_schema)
@property
def latest_value_mutation_specifiers(self) -> List[Dict[str, any]]:
return [
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='campaign_id',
source_value_column='campaign_name',
target_value_column='latest_campaign_name'
),
]
@property
def parse_tags_mutation_specifier(self) -> Optional[tasks_fetch_entity.ParseTagsMutationSpecifier]:
return tasks_fetch_entity.ParseTagsMutationSpecifier(
parser=tasks_fetch_entity.ParseTagsMutationSpecifier.task_parser_name(self),
channel='snapchat',
entity='campaign',
name_column='campaign_name',
id_column='campaign_id'
)
@property
def fetched_currency_column(self) -> str:
return 'account_currency'
@property
def money_columns(self) -> List[str]:
return [
'spend',
'campaign_daily_budget',
'campaign_lifetime_spend_cap',
]
@property
def default_fetch_columns(self) -> List[str]:
return [
'impressions',
'swipes',
'screen_time_millis',
'quartile_1',
'quartile_2',
'quartile_3',
'view_completion',
'spend',
'video_views',
'frequency',
'uniques',
'swipe_up_percent'
]
class FetchSnapchatAdSquadsReportTask(FetchSnapchatReportTask, tasks_fetch_entity.FetchCampaignReportTask):
@property
def task_type(self) -> models.ReportTaskType:
return models.ReportTaskType.fetch_snapchat_adsquads
@property
def report_table_model(self) -> models.ReportTableModel:
return models.SnapchatAdSquadReportTableModel(schema_name=self.report_table_schema)
@property
def latest_value_mutation_specifiers(self) -> List[Dict[str, any]]:
return [
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='campaign_id',
source_value_column='campaign_name',
target_value_column='latest_campaign_name'
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_name',
target_value_column='latest_ad_squad_name'
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_name',
target_value_column='ad_squad_name',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_status',
target_value_column='ad_squad_status',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_placement',
target_value_column='ad_squad_placement',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_optimization_goal',
target_value_column='ad_squad_optimization_goal',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_bid',
target_value_column='ad_squad_bid',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_billing_event',
target_value_column='ad_squad_billing_event',
only_missing_values=[None, '']
),
]
@property
def parse_tags_mutation_specifier(self) -> Optional[tasks_fetch_entity.ParseTagsMutationSpecifier]:
return tasks_fetch_entity.ParseTagsMutationSpecifier(
parser=tasks_fetch_entity.ParseTagsMutationSpecifier.task_parser_name(self, 'snapchat-adgroup'),
channel='snapchat',
entity='adgroup',
name_column='ad_squad_name',
id_column='ad_squad_id'
)
@property
def fetched_currency_column(self) -> str:
return 'account_currency'
@property
def money_columns(self) -> List[str]:
return [
'spend',
'ad_squad_daily_budget',
'ad_squad_bid',
'campaign_daily_budget',
'campaign_lifetime_spend_cap',
]
@property
def default_fetch_columns(self) -> List[str]:
return [
'impressions',
'swipes',
'screen_time_millis',
'quartile_1',
'quartile_2',
'quartile_3',
'view_completion',
'spend',
'video_views',
'frequency',
'uniques',
'swipe_up_percent'
]
class FetchSnapchatAdsReportTask(FetchSnapchatReportTask, tasks_fetch_entity.FetchAdReportTask):
@property
def task_type(self) -> models.ReportTaskType:
return models.ReportTaskType.fetch_snapchat_ads
@property
def report_table_model(self) -> models.ReportTableModel:
return models.SnapchatAdReportTableModel(schema_name=self.report_table_schema)
@property
def latest_value_mutation_specifiers(self) -> List[Dict[str, any]]:
return [
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='campaign_id',
source_value_column='campaign_name',
target_value_column='latest_campaign_name'
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_id',
source_value_column='ad_name',
target_value_column='ad_name',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_id',
source_value_column='ad_squad_id',
target_value_column='ad_squad_id',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_id',
source_value_column='ad_status',
target_value_column='ad_status',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_id',
source_value_column='ad_type',
target_value_column='ad_type',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_id',
source_value_column='creative_id',
target_value_column='creative_id',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_name',
target_value_column='ad_squad_name',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_status',
target_value_column='ad_squad_status',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_placement',
target_value_column='ad_squad_placement',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_optimization_goal',
target_value_column='ad_squad_optimization_goal',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_bid',
target_value_column='ad_squad_bid',
only_missing_values=[None, '']
),
tasks_fetch_entity.LatestValueMutationSpecifier(
identifier_column='ad_squad_id',
source_value_column='ad_squad_billing_event',
target_value_column='ad_squad_billing_event',
only_missing_values=[None, '']
),
]
@property
def parse_tags_mutation_specifier(self) -> Optional[tasks_fetch_entity.ParseTagsMutationSpecifier]:
return tasks_fetch_entity.ParseTagsMutationSpecifier(
parser=tasks_fetch_entity.ParseTagsMutationSpecifier.task_parser_name(self),
channel='snapchat',
entity='ad',
name_column='ad_name',
id_column='ad_id'
)
@property
def ad_id_column(self) -> str:
return 'ad_id'
@property
def fetched_currency_column(self) -> str:
return 'account_currency'
@property
def money_columns(self) -> List[str]:
return [
'spend',
'ad_squad_daily_budget',
'ad_squad_bid',
'campaign_daily_budget',
'campaign_lifetime_spend_cap',
]
@property
def default_fetch_columns(self) -> List[str]:
return [
'impressions',
'swipes',
'screen_time_millis',
'quartile_1',
'quartile_2',
'quartile_3',
'view_completion',
'spend',
'video_views',
'frequency',
'uniques',
'swipe_up_percent'
]
| 31.660714
| 108
| 0.699756
| 1,137
| 10,638
| 6.108179
| 0.111697
| 0.063355
| 0.078618
| 0.069978
| 0.829086
| 0.811231
| 0.801008
| 0.801008
| 0.801008
| 0.801008
| 0
| 0.001296
| 0.202294
| 10,638
| 336
| 109
| 31.660714
| 0.816993
| 0
| 0
| 0.754902
| 0
| 0
| 0.166181
| 0.044929
| 0
| 0
| 0
| 0
| 0.003268
| 1
| 0.091503
| false
| 0
| 0.019608
| 0.081699
| 0.228758
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
7fe19f1d462e5ee0d16a162d1ceb3cb8a5838dc6
| 20,836
|
py
|
Python
|
ckan/tests/functional/api/test_package_search.py
|
Gnafu/ckan
|
d81f69b90291e50ef7e85821ccb83daa94eb3bb7
|
[
"BSD-3-Clause"
] | 2
|
2021-02-19T20:06:52.000Z
|
2021-04-15T20:42:11.000Z
|
ckan/tests/functional/api/test_package_search.py
|
Gnafu/ckan
|
d81f69b90291e50ef7e85821ccb83daa94eb3bb7
|
[
"BSD-3-Clause"
] | null | null | null |
ckan/tests/functional/api/test_package_search.py
|
Gnafu/ckan
|
d81f69b90291e50ef7e85821ccb83daa94eb3bb7
|
[
"BSD-3-Clause"
] | 4
|
2016-12-17T22:26:06.000Z
|
2017-01-20T21:51:24.000Z
|
from nose.tools import assert_raises
from nose.plugins.skip import SkipTest
from urllib import quote
from ckan import plugins
import ckan.lib.search as search
from ckan.tests import setup_test_search_index
from ckan.tests.functional.api.base import *
from ckan.tests import TestController as ControllerTestCase
from ckan.controllers.api import ApiController
from webob.multidict import UnicodeMultiDict
class PackageSearchApiTestCase(ApiTestCase, ControllerTestCase):
@classmethod
def setup_class(self):
setup_test_search_index()
CreateTestData.create()
self.package_fixture_data = {
'name' : u'testpkg',
'title': 'Some Title',
'url': u'http://blahblahblah.mydomain',
'resources': [{u'url':u'http://blahblahblah.mydomain',
u'format':u'', u'description':''}],
'tags': ['russion', 'novel'],
'license_id': u'gpl-3.0',
'extras': {'national_statistic':'yes',
'geographic_coverage':'England, Wales'},
}
CreateTestData.create_arbitrary(self.package_fixture_data)
self.base_url = self.offset('/search/dataset')
@classmethod
def teardown_class(cls):
model.repo.rebuild_db()
search.clear()
def assert_results(self, res_dict, expected_package_names):
expected_pkgs = [self.package_ref_from_name(expected_package_name) \
for expected_package_name in expected_package_names]
assert_equal(set(res_dict['results']), set(expected_pkgs))
def test_00_read_search_params(self):
def check(request_params, expected_params):
params = ApiController._get_search_params(request_params)
assert_equal(params, expected_params)
# uri parameters
check(UnicodeMultiDict({'q': '', 'ref': 'boris'}),
{"q": "", "ref": "boris"})
# uri json
check(UnicodeMultiDict({'qjson': '{"q": "", "ref": "boris"}'}),
{"q": "", "ref": "boris"})
# posted json
check(UnicodeMultiDict({'{"q": "", "ref": "boris"}': u'1'}),
{"q": "", "ref": "boris"})
check(UnicodeMultiDict({'{"q": "", "ref": "boris"}': u''}),
{"q": "", "ref": "boris"})
# no parameters
check(UnicodeMultiDict({}),
{})
def test_00_read_search_params_with_errors(self):
def check_error(request_params):
assert_raises(ValueError, ApiController._get_search_params, request_params)
# uri json
check_error(UnicodeMultiDict({'qjson': '{"q": illegal json}'}))
# posted json
check_error(UnicodeMultiDict({'{"q": illegal json}': u'1'}))
def test_01_uri_q(self):
offset = self.base_url + '?q=%s' % self.package_fixture_data['name']
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, ['testpkg'])
assert res_dict['count'] == 1, res_dict['count']
def test_02_post_q(self):
offset = self.base_url
query = {'q':'testpkg'}
res = self.app.post(offset, params=query, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, ['testpkg'])
assert res_dict['count'] == 1, res_dict['count']
def test_03_uri_qjson(self):
query = {'q': self.package_fixture_data['name']}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, ['testpkg'])
assert res_dict['count'] == 1, res_dict['count']
def test_04_post_json(self):
query = {'q': self.package_fixture_data['name']}
json_query = self.dumps(query)
offset = self.base_url
res = self.app.post(offset, params=json_query, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, ['testpkg'])
assert res_dict['count'] == 1, res_dict['count']
def test_05_uri_json_tags(self):
query = {'q': 'annakarenina tags:russian tags:tolstoy'}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina'])
assert res_dict['count'] == 1, res_dict
def test_05_uri_json_tags_multiple(self):
query = {'q': 'tags:russian tags:tolstoy'}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina'])
assert res_dict['count'] == 1, res_dict
def test_06_uri_q_tags(self):
query = webhelpers.util.html_escape('annakarenina tags:russian tags:tolstoy')
offset = self.base_url + '?q=%s' % query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina'])
assert res_dict['count'] == 1, res_dict['count']
def test_08_uri_qjson_malformed(self):
offset = self.base_url + '?qjson="q":""' # user forgot the curly braces
res = self.app.get(offset, status=400)
self.assert_json_response(res, 'Bad request - Could not read parameters')
def test_09_just_tags(self):
offset = self.base_url + '?q=tags:russian'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 2, res_dict
def test_10_multiple_tags(self):
offset = self.base_url + '?q=tags:tolstoy tags:russian'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 1, res_dict
def test_12_all_packages_qjson(self):
query = {'q': ''}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert_equal(res_dict['count'], 3)
def test_12_all_packages_q(self):
offset = self.base_url + '?q=""'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert_equal(res_dict['count'], 3)
def test_12_all_packages_no_q(self):
offset = self.base_url
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert_equal(res_dict['count'], 3)
def test_12_filter_by_openness(self):
offset = self.base_url + '?filter_by_openness=1'
res = self.app.get(offset, status=400) # feature dropped in #1360
assert "'filter_by_openness'" in res.body, res.body
def test_12_filter_by_downloadable(self):
offset = self.base_url + '?filter_by_downloadable=1'
res = self.app.get(offset, status=400) # feature dropped in #1360
assert "'filter_by_downloadable'" in res.body, res.body
class LegacyOptionsTestCase(ApiTestCase, ControllerTestCase):
'''Here are tests with URIs in the syntax they were in
for API v1 and v2.'''
@classmethod
def setup_class(self):
setup_test_search_index()
CreateTestData.create()
self.package_fixture_data = {
'name' : u'testpkg',
'title': 'Some Title',
'url': u'http://blahblahblah.mydomain',
'resources': [{u'url':u'http://blahblahblah.mydomain',
u'format':u'', u'description':''}],
'tags': ['russion', 'novel'],
'license_id': u'gpl-3.0',
'extras': {'national_statistic':'yes',
'geographic_coverage':'England, Wales'},
}
CreateTestData.create_arbitrary(self.package_fixture_data)
self.base_url = self.offset('/search/dataset')
@classmethod
def teardown_class(cls):
model.repo.rebuild_db()
search.clear()
def test_07_uri_qjson_tags(self):
query = {'q': '', 'tags':['tolstoy']}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina'])
assert res_dict['count'] == 1, res_dict
def test_07_uri_qjson_tags_with_flexible_query(self):
query = {'q': '', 'tags':['Flexible \u30a1']}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina', u'warandpeace'])
assert res_dict['count'] == 2, res_dict
def test_07_uri_qjson_tags_multiple(self):
query = {'q': '', 'tags':['tolstoy', 'russian', u'Flexible \u30a1']}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
print offset
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina'])
assert res_dict['count'] == 1, res_dict
def test_07_uri_qjson_tags_reverse(self):
query = {'q': '', 'tags':['russian']}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina', u'warandpeace'])
assert res_dict['count'] == 2, res_dict
def test_07_uri_qjson_extras(self):
# TODO: solr is not currently set up to allow partial matches
# and extras are not saved as multivalued so this
# test will fail. Make extras multivalued or remove?
raise SkipTest()
query = {"geographic_coverage":"England"}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, ['testpkg'])
assert res_dict['count'] == 1, res_dict
def test_07_uri_qjson_extras_2(self):
query = {"national_statistic":"yes"}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, ['testpkg'])
assert res_dict['count'] == 1, res_dict
def test_08_all_fields(self):
rating = model.Rating(user_ip_address=u'123.1.2.3',
package=self.anna,
rating=3.0)
model.Session.add(rating)
model.repo.commit_and_remove()
query = {'q': 'russian', 'all_fields': 1}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 2, res_dict
for rec in res_dict['results']:
if rec['name'] == 'annakarenina':
anna_rec = rec
break
assert anna_rec['name'] == 'annakarenina', res_dict['results']
assert anna_rec['title'] == 'A Novel By Tolstoy', anna_rec['title']
assert anna_rec['license_id'] == u'other-open', anna_rec['license_id']
assert len(anna_rec['tags']) == 3, anna_rec['tags']
for expected_tag in ['russian', 'tolstoy', u'Flexible \u30a1']:
assert expected_tag in anna_rec['tags'], anna_rec['tags']
# try alternative syntax
offset = self.base_url + '?q=russian&all_fields=1'
res2 = self.app.get(offset, status=200)
assert_equal(res2.body, res.body)
def test_08_all_fields_syntax_error(self):
offset = self.base_url + '?all_fields=should_be_boolean' # invalid all_fields value
res = self.app.get(offset, status=400)
assert('boolean' in res.body)
assert('all_fields' in res.body)
self.assert_json_response(res, 'boolean')
def test_09_just_tags(self):
offset = self.base_url + '?tags=tolstoy'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 1, res_dict
def test_10_single_tag_with_plus(self):
tagname = "Flexible+" + quote(u'\u30a1'.encode('utf8'))
offset = self.base_url + "?tags=%s&all_fields=1"%tagname
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 2, res_dict
def test_10_multi_tags_with_ampersand_including_a_multiword_tagame(self):
tagname = "Flexible+" + quote(u'\u30a1'.encode('utf8'))
offset = self.base_url + '?tags=tolstoy&tags=%s&all_fields=1' % tagname
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 1, res_dict
def test_10_multiple_tags_with_ampersand(self):
offset = self.base_url + '?tags=tolstoy&tags=russian&all_fields=1'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 1, res_dict
def test_10_many_tags_with_ampersand(self):
offset = self.base_url + '?tags=tolstoy&tags=russian&tags=tolstoy'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 1, res_dict
def test_11_pagination_limit(self):
offset = self.base_url + '?all_fields=1&q=tags:russian&limit=1&order_by=name'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 2, res_dict
assert len(res_dict['results']) == 1, res_dict
assert res_dict['results'][0]['name'] == 'annakarenina', res_dict['results'][0]['name']
def test_11_pagination_offset_limit(self):
offset = self.base_url + '?all_fields=1&q=tags:russian&offset=1&limit=1&order_by=name'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 2, res_dict
assert len(res_dict['results']) == 1, res_dict
assert res_dict['results'][0]['name'] == 'warandpeace', res_dict['results'][0]['name']
def test_11_pagination_syntax_error(self):
offset = self.base_url + '?all_fields=1&q="tags:russian"&start=should_be_integer&rows=1&order_by=name' # invalid offset value
res = self.app.get(offset, status=400)
print res.body
assert('should_be_integer' in res.body)
def test_13_just_groups(self):
offset = self.base_url + '?groups=roger'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 1, res_dict
def test_14_empty_parameter_ignored(self):
offset = self.base_url + '?groups=roger&title='
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 1, res_dic
class TestPackageSearchApi1(Api1TestCase, PackageSearchApiTestCase,
LegacyOptionsTestCase): pass
class TestPackageSearchApi2(Api2TestCase, PackageSearchApiTestCase,
LegacyOptionsTestCase): pass
class TestPackageSearchApi3(Api3TestCase, PackageSearchApiTestCase):
'''Here are tests with URIs in specifically SOLR syntax.'''
def test_07_uri_qjson_tags(self):
query = {'q': 'tags:tolstoy'}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina'])
assert res_dict['count'] == 1, res_dict
def test_07_uri_qjson_tags_with_unicode(self):
query = {'q': u'tags:"Flexible \u30a1"'}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina', u'warandpeace'])
assert res_dict['count'] == 2, res_dict
def test_07_uri_qjson_tags_multiple(self):
query = {'q': 'tags:tolstoy tags:russian'}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
print offset
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina'])
assert res_dict['count'] == 1, res_dict
def test_07_uri_qjson_tags_reverse(self):
query = {'q': 'tags:russian'}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, [u'annakarenina', u'warandpeace'])
assert res_dict['count'] == 2, res_dict
def test_07_uri_qjson_extras_2(self):
query = {'q': "national_statistic:yes"}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
self.assert_results(res_dict, ['testpkg'])
assert res_dict['count'] == 1, res_dict
def test_08_all_fields(self):
query = {'q': 'russian', 'fl': '*'}
json_query = self.dumps(query)
offset = self.base_url + '?qjson=%s' % json_query
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 2, res_dict
for rec in res_dict['results']:
if rec['name'] == 'annakarenina':
anna_rec = rec
break
assert anna_rec['name'] == 'annakarenina', res_dict['results']
assert anna_rec['title'] == 'A Novel By Tolstoy', anna_rec['title']
assert anna_rec['license_id'] == u'other-open', anna_rec['license_id']
assert len(anna_rec['tags']) == 3, anna_rec['tags']
for expected_tag in ['russian', 'tolstoy', u'Flexible \u30a1']:
assert expected_tag in anna_rec['tags']
# try alternative syntax
offset = self.base_url + '?q=russian&fl=*'
res2 = self.app.get(offset, status=200)
assert_equal(res2.body, res.body)
def test_09_just_tags(self):
offset = self.base_url + '?q=tags:russian&fl=*'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 2, res_dict
def test_11_pagination_limit(self):
offset = self.base_url + '?fl=*&q=tags:russian&rows=1&sort=name asc'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 2, res_dict
assert len(res_dict['results']) == 1, res_dict
assert res_dict['results'][0]['name'] == 'annakarenina', res_dict['results'][0]['name']
def test_11_pagination_offset_limit(self):
offset = self.base_url + '?fl=*&q=tags:russian&start=1&rows=1&sort=name asc'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 2, res_dict
assert len(res_dict['results']) == 1, res_dict
assert res_dict['results'][0]['name'] == 'warandpeace', res_dict['results'][0]['name']
def test_11_pagination_syntax_error(self):
offset = self.base_url + '?fl=*&q=tags:russian&start=should_be_integer&rows=1&sort=name asc' # invalid offset value
res = self.app.get(offset, status=400)
print res.body
assert('should_be_integer' in res.body)
def test_12_v1_or_v2_syntax(self):
offset = self.base_url + '?all_fields=1'
res = self.app.get(offset, status=400)
assert("Invalid search parameters: ['all_fields']" in res.body), res.body
def test_13_just_groups(self):
offset = self.base_url + '?q=groups:roger'
res = self.app.get(offset, status=200)
res_dict = self.data_from_res(res)
assert res_dict['count'] == 1, res_dict
class TestPackageSearchApiUnversioned(PackageSearchApiTestCase,
ApiUnversionedTestCase,
LegacyOptionsTestCase): pass
| 42.784394
| 133
| 0.621712
| 2,767
| 20,836
| 4.436935
| 0.093242
| 0.085526
| 0.043903
| 0.065081
| 0.819989
| 0.795716
| 0.762483
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| 0.734381
| 0.723711
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| 20,836
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| 134
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0
| 7
|
3d22e446ec5128da257091fd0e8256fd933f97cc
| 34,708
|
py
|
Python
|
tests/test_measure.py
|
glichtner/fhir.resources
|
94896d8f8a0b7dd69253762aab968f4fd6eb69a0
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_measure.py
|
glichtner/fhir.resources
|
94896d8f8a0b7dd69253762aab968f4fd6eb69a0
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_measure.py
|
glichtner/fhir.resources
|
94896d8f8a0b7dd69253762aab968f4fd6eb69a0
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/Measure
Release: R5
Version: 4.5.0
Build ID: 0d95498
Last updated: 2021-04-03T00:34:11.075+00:00
"""
from pydantic.validators import bytes_validator # noqa: F401
from fhir.resources import fhirtypes # noqa: F401
from fhir.resources import measure
def impl_measure_1(inst):
assert inst.group[0].id == "Main"
assert inst.group[0].population[0].code.coding[0].code == "initial-population"
assert inst.group[0].population[0].criteria.expression == "Initial Population"
assert inst.group[0].population[0].criteria.language == "text/cql"
assert inst.group[0].population[1].code.coding[0].code == "denominator"
assert inst.group[0].population[1].criteria.expression == "Denominator"
assert inst.group[0].population[1].criteria.language == "text/cql"
assert inst.group[0].population[2].code.coding[0].code == "numerator"
assert inst.group[0].population[2].criteria.expression == "Numerator"
assert inst.group[0].population[2].criteria.language == "text/cql"
assert inst.id == "component-a-example"
assert inst.meta.tag[0].code == "HTEST"
assert inst.meta.tag[0].display == "test health data"
assert (
inst.meta.tag[0].system == "http://terminology.hl7.org/CodeSystem/v3-ActReason"
)
assert inst.scoring.coding[0].code == "proportion"
assert inst.status == "draft"
assert inst.text.status == "generated"
assert inst.title == "Screening for Alcohol Misuse"
def test_measure_1(base_settings):
"""No. 1 tests collection for Measure.
Test File: measure-component-a-example.json
"""
filename = base_settings["unittest_data_dir"] / "measure-component-a-example.json"
inst = measure.Measure.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Measure" == inst.resource_type
impl_measure_1(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "Measure" == data["resourceType"]
inst2 = measure.Measure(**data)
impl_measure_1(inst2)
def impl_measure_2(inst):
assert inst.date == fhirtypes.DateTime.validate("2015-03-08")
assert inst.description == (
"Exclusive breastfeeding measure of outcomes for exclusive "
"breastmilk feeding of newborns."
)
assert inst.group[0].id == "PopulationGroup1"
assert inst.group[0].population[0].code.coding[0].code == "initial-population"
assert inst.group[0].population[0].criteria.expression == "InitialPopulation1"
assert inst.group[0].population[0].criteria.language == "text/cql"
assert inst.group[0].population[1].code.coding[0].code == "denominator"
assert inst.group[0].population[1].criteria.expression == "Denominator1"
assert inst.group[0].population[1].criteria.language == "text/cql"
assert inst.group[0].population[2].code.coding[0].code == "denominator-exclusions"
assert inst.group[0].population[2].criteria.expression == "DenominatorExclusions1"
assert inst.group[0].population[2].criteria.language == "text/cql"
assert inst.group[0].population[3].code.coding[0].code == "numerator"
assert inst.group[0].population[3].criteria.expression == "Numerator1"
assert inst.group[0].population[3].criteria.language == "text/cql"
assert inst.group[1].id == "PopulationGroup2"
assert inst.group[1].population[0].code.coding[0].code == "initial-population"
assert inst.group[1].population[0].criteria.expression == "InitialPopulation2"
assert inst.group[1].population[0].criteria.language == "text/cql"
assert inst.group[1].population[1].code.coding[0].code == "denominator"
assert inst.group[1].population[1].criteria.expression == "Denominator2"
assert inst.group[1].population[1].criteria.language == "text/cql"
assert inst.group[1].population[2].code.coding[0].code == "denominator-exclusion"
assert inst.group[1].population[2].criteria.expression == "DenominatorExclusions2"
assert inst.group[1].population[2].criteria.language == "text/cql"
assert inst.group[1].population[3].code.coding[0].code == "numerator"
assert inst.group[1].population[3].criteria.expression == "Numerator2"
assert inst.group[1].population[3].criteria.language == "text/cql"
assert inst.id == "measure-exclusive-breastfeeding"
assert inst.identifier[0].use == "official"
assert inst.identifier[0].value == "exclusive-breastfeeding-measure"
assert inst.improvementNotation.coding[0].code == "increase"
assert inst.improvementNotation.coding[0].system == (
"http://terminology.hl7.org/CodeSystem/measure-improvement-" "notation"
)
assert inst.library[0] == (
"http://example.org/fhir/Library/library-exclusive-" "breastfeeding-cqm-logic"
)
assert inst.meta.tag[0].code == "HTEST"
assert inst.meta.tag[0].display == "test health data"
assert (
inst.meta.tag[0].system == "http://terminology.hl7.org/CodeSystem/v3-ActReason"
)
assert inst.purpose == (
"Measure of newborns who were fed breast milk only since " "birth"
)
assert inst.relatedArtifact[0].citation == (
"American Academy of Pediatrics. (2005). Section on "
"Breastfeeding. Policy Statement:Breastfeeding and the Use of"
" Human Milk. Pediatrics.115:496-506."
)
assert inst.relatedArtifact[0].type == "documentation"
assert inst.relatedArtifact[1].type == "documentation"
assert inst.relatedArtifact[2].type == "documentation"
assert inst.relatedArtifact[3].type == "documentation"
assert inst.relatedArtifact[4].type == "documentation"
assert inst.relatedArtifact[5].type == "documentation"
assert inst.relatedArtifact[6].citation == (
"Kramer, M.S. & Kakuma, R. (2002).Optimal duration of "
"exclusive breastfeeding. [107 refs] Cochrane Database of "
"Systematic Reviews. (1):CD003517."
)
assert inst.relatedArtifact[6].type == "documentation"
assert inst.relatedArtifact[7].citation == (
"Petrova, A., Hegyi, T., & Mehta, R. (2007). Maternal "
"race/ethnicity and one-month exclusive breastfeeding in "
"association with the in-hospital feeding modality. "
"Breastfeeding Medicine. 2(2):92-8."
)
assert inst.relatedArtifact[7].type == "documentation"
assert inst.relatedArtifact[8].type == "documentation"
assert inst.relatedArtifact[9].type == "documentation"
assert inst.scoring.coding[0].code == "proportion"
assert inst.status == "active"
assert inst.text.status == "generated"
assert inst.title == "Exclusive Breastfeeding Measure"
assert inst.topic[0].text == "Exclusive Breastfeeding"
assert inst.type[0].coding[0].code == "process"
assert inst.version == "4.5.0"
def test_measure_2(base_settings):
"""No. 2 tests collection for Measure.
Test File: measure-exclusive-breastfeeding.json
"""
filename = (
base_settings["unittest_data_dir"] / "measure-exclusive-breastfeeding.json"
)
inst = measure.Measure.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Measure" == inst.resource_type
impl_measure_2(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "Measure" == data["resourceType"]
inst2 = measure.Measure(**data)
impl_measure_2(inst2)
def impl_measure_3(inst):
assert inst.date == fhirtypes.DateTime.validate("2018-03-08")
assert inst.experimental is True
assert inst.group[0].code.coding[0].code == "QRPH_ADX_ART1_N"
assert inst.group[0].code.coding[0].system == "http://ihe.net/qrph/adx/"
assert inst.group[0].description == (
"Number of adults and children newly enrolled on "
"antiretroviral therapy (ART) in the reporting period"
)
assert inst.group[0].population[0].code.text == "cohort"
assert inst.group[0].population[0].criteria.expression == (
"Newly enrolled on antiretroviral therapy (ART) during " "measurement period"
)
assert inst.group[0].population[0].criteria.language == "text/cql"
assert inst.group[0].stratifier[0].code.coding[0].code == "AGE_GROUP:SEX"
assert (
inst.group[0].stratifier[0].code.coding[0].system == "http://ihe.net/qrph/adx/"
)
assert inst.group[0].stratifier[0].criteria.expression == "Age Group/Sex"
assert inst.group[0].stratifier[0].criteria.language == "text/cql"
assert inst.group[1].code.coding[0].code == "QRPH_ADX_ART1_N_PREG_BF"
assert inst.group[1].code.coding[0].system == "http://ihe.net/qrph/adx/"
assert inst.group[1].description == (
"Number of adults and children newly enrolled on ART in the "
"reporting period_pregnant and breastfeeding"
)
assert inst.group[1].population[0].code.text == "cohort"
assert inst.group[1].population[0].criteria.expression == (
"Newly enrolled on antiretroviral therapy (ART) during "
"measurement period (pregnant and breastfeeding)"
)
assert inst.group[1].population[0].criteria.language == "text/cql"
assert inst.group[1].stratifier[0].code.coding[0].code == "PREG_BF"
assert (
inst.group[1].stratifier[0].code.coding[0].system == "http://ihe.net/qrph/adx/"
)
assert inst.group[1].stratifier[0].criteria.expression == "Pregnant/Breastfeeding"
assert inst.group[1].stratifier[0].criteria.language == "text/cql"
assert inst.group[2].code.coding[0].code == "QRPH_ADX_ART3_N"
assert inst.group[2].code.coding[0].system == "http://ihe.net/qrph/adx/"
assert inst.group[2].description == (
"Number of adults and children currently receiving "
"antiretroviral therapy (ART)"
)
assert inst.group[2].population[0].code.text == "cohort"
assert inst.group[2].population[0].criteria.expression == (
"Receiving antiretroviral therapy (ART) during measurement " "period"
)
assert inst.group[2].population[0].criteria.language == "text/cql"
assert inst.group[3].code.coding[0].code == "QRPH_ADX_ART5_N"
assert inst.group[3].code.coding[0].system == "http://ihe.net/qrph/adx/"
assert inst.group[3].description == (
"Number of adults and children who are still on treatment at "
"12 months after initiating ART"
)
assert inst.group[3].population[0].code.text == "cohort"
assert inst.group[3].population[0].criteria.expression == (
"Receiving antiretroviral therapy (ART) at 12 months after " "initiating"
)
assert inst.group[3].population[0].criteria.language == "text/cql"
assert inst.group[3].stratifier[0].component[0].code.coding[0].code == "AGE_GROUP"
assert (
inst.group[3].stratifier[0].component[0].code.coding[0].system
== "http://ihe.net/qrph/adx/"
)
assert inst.group[3].stratifier[0].component[0].criteria.expression == "Age Group"
assert inst.group[3].stratifier[0].component[0].criteria.language == "text/cql"
assert inst.group[3].stratifier[0].component[1].code.coding[0].code == "SEX"
assert (
inst.group[3].stratifier[0].component[1].code.coding[0].system
== "http://ihe.net/qrph/adx/"
)
assert inst.group[3].stratifier[0].component[1].criteria.expression == "Sex"
assert inst.group[3].stratifier[0].component[1].criteria.language == "text/cql"
assert inst.group[4].code.coding[0].code == "QRPH_ADX_ART5_N_PREG_BF"
assert inst.group[4].code.coding[0].system == "http://ihe.net/qrph/adx/"
assert inst.group[4].description == (
"Number of adults and children who are still on treatment at "
"12 months after initiating ART-pregnant and breastfeeding"
)
assert inst.group[4].population[0].code.text == "cohort"
assert inst.group[4].population[0].criteria.expression == (
"Receiving antiretroviral therapy (ART) at 12 months after "
"initiating (pregnant and breastfeeding)"
)
assert inst.group[4].population[0].criteria.language == "text/cql"
assert inst.group[4].stratifier[0].code.coding[0].code == "PREG_BF"
assert (
inst.group[4].stratifier[0].code.coding[0].system == "http://ihe.net/qrph/adx/"
)
assert inst.group[4].stratifier[0].criteria.expression == "Pregnant/Breastfeeding"
assert inst.group[4].stratifier[0].criteria.language == "text/cql"
assert inst.group[5].code.coding[0].code == "QRPH_ADX_ART5_D"
assert inst.group[5].code.coding[0].system == "http://ihe.net/qrph/adx/"
assert inst.group[5].description == (
"Number of adults and children who initiated ART in the 12 "
"months prior to the beginning of the reporting period"
)
assert inst.group[5].population[0].code.text == "cohort"
assert inst.group[5].population[0].criteria.expression == (
"Initiated antiretroviral therapy (ART) in the 12 months "
"prior to measurement period"
)
assert inst.group[5].population[0].criteria.language == "text/cql"
assert inst.group[5].stratifier[0].code.coding[0].code == "AGE_GROUP:SEX"
assert (
inst.group[5].stratifier[0].code.coding[0].system == "http://ihe.net/qrph/adx/"
)
assert inst.group[5].stratifier[0].criteria.expression == "Age Group/Sex"
assert inst.group[5].stratifier[0].criteria.language == "text/cql"
assert inst.group[6].code.coding[0].code == "QRPH_ADX_MTCT1_D"
assert inst.group[6].code.coding[0].system == "http://ihe.net/qrph/adx/"
assert inst.group[6].description == (
"Number of pregnant women who attended ANC or had a facility-"
"based delivery in the reporting period"
)
assert inst.group[6].population[0].code.text == "cohort"
assert inst.group[6].population[0].criteria.expression == (
"Antenatal Care Visit or Live Birth during the Measurement " "Period"
)
assert inst.group[6].population[0].criteria.language == "text/cql"
assert inst.group[6].stratifier[0].code.coding[0].code == "PMTCT_HIV_STATUS"
assert (
inst.group[6].stratifier[0].code.coding[0].system == "http://ihe.net/qrph/adx/"
)
assert inst.group[6].stratifier[0].criteria.expression == "PMTCT HIV Status"
assert inst.group[6].stratifier[0].criteria.language == "text/cql"
assert inst.group[7].code.coding[0].code == "QRPH_ADX_MTCT2_D"
assert inst.group[7].code.coding[0].system == "http://ihe.net/qrph/adx/"
assert inst.group[7].description == (
"Number of HIV positive pregnant women who attended ANC or "
"had a facility-based delivery within the reporting period"
)
assert inst.group[7].population[0].code.text == "cohort"
assert inst.group[7].population[0].criteria.expression == (
"Antenatal Care Visit or Live Birth during Measurement Period" " (HIV Positive)"
)
assert inst.group[7].population[0].criteria.language == "text/cql"
assert inst.group[8].code.coding[0].code == "QRPH_ADX_MTCT2_N"
assert inst.group[8].code.coding[0].system == "http://ihe.net/qrph/adx/"
assert inst.group[8].description == (
"Number of HIV-positive pregnant women who received ART to "
"reduce the risk of mother-to-child-transmission during "
"pregnancy"
)
assert inst.group[8].population[0].code.text == "cohort"
assert inst.group[8].population[0].criteria.expression == (
"HIV-positive, pregnant, and receiving antiretroviral therapy"
" (ART) to reduce the risk of mother-to-child-transmission "
"during pregnancy"
)
assert inst.group[8].population[0].criteria.language == "text/cql"
assert inst.group[8].stratifier[0].code.coding[0].code == "PMTCT_ART_STATUS"
assert (
inst.group[8].stratifier[0].code.coding[0].system == "http://ihe.net/qrph/adx/"
)
assert inst.group[8].stratifier[0].criteria.expression == "PMTCT ART Status"
assert inst.group[8].stratifier[0].criteria.language == "text/cql"
assert inst.group[9].code.coding[0].code == "QRPH_ADX_VLS3_N"
assert inst.group[9].code.coding[0].system == "http://ihe.net/qrph/adx/"
assert inst.group[9].description == (
"Number of people living with HIV and on ART who have a "
"suppressed viral load results (<1000 copies/mL)"
)
assert inst.group[9].population[0].code.text == "cohort"
assert inst.group[9].population[0].criteria.expression == (
"Living with HIV and on ART with suppressed viral load "
"results (<1000 copies/mL)"
)
assert inst.group[9].population[0].criteria.language == "text/cql"
assert inst.group[9].stratifier[0].code.coding[0].code == "AGE_GROUP:SEX"
assert (
inst.group[9].stratifier[0].code.coding[0].system == "http://ihe.net/qrph/adx/"
)
assert inst.group[9].stratifier[0].criteria.expression == "Age Group/Sex"
assert inst.group[9].stratifier[0].criteria.language == "text/cql"
assert inst.id == "hiv-indicators"
assert inst.identifier[0].system == "http://ohie.org/Measure/"
assert inst.identifier[0].value == "hiv-indicators"
assert inst.library[0] == "http://ohie.org/Library/hiv-indicators"
assert inst.name == "HIV"
assert inst.publisher == "Open HIE"
assert inst.relatedArtifact[0].type == "derived-from"
assert (
inst.relatedArtifact[0].url
== "http://wiki.ihe.net/index.php/Aggregate_Data_Exchange_-_HIV"
)
assert inst.scoring.coding[0].code == "cohort"
assert inst.status == "draft"
assert inst.text.status == "generated"
assert inst.title == "HIV Indicators"
assert inst.url == "http://ohie.org/Measure/hiv-indicators"
assert inst.version == "0.0.0"
def test_measure_3(base_settings):
"""No. 3 tests collection for Measure.
Test File: measure-hiv-indicators.json
"""
filename = base_settings["unittest_data_dir"] / "measure-hiv-indicators.json"
inst = measure.Measure.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Measure" == inst.resource_type
impl_measure_3(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "Measure" == data["resourceType"]
inst2 = measure.Measure(**data)
impl_measure_3(inst2)
def impl_measure_4(inst):
assert inst.compositeScoring.coding[0].code == "opportunity"
assert inst.id == "composite-example"
assert inst.meta.tag[0].code == "HTEST"
assert inst.meta.tag[0].display == "test health data"
assert (
inst.meta.tag[0].system == "http://terminology.hl7.org/CodeSystem/v3-ActReason"
)
assert (
inst.relatedArtifact[0].resource
== "http://example.org/fhir/Measure/component-a-example"
)
assert inst.relatedArtifact[0].type == "composed-of"
assert (
inst.relatedArtifact[1].resource
== "http://example.org/fhir/Measure/component-b-example"
)
assert inst.relatedArtifact[1].type == "composed-of"
assert inst.scoring.coding[0].code == "proportion"
assert inst.status == "draft"
assert inst.text.status == "generated"
assert inst.title == "Behavioral Assessment Composite Measure"
def test_measure_4(base_settings):
"""No. 4 tests collection for Measure.
Test File: measure-composite-example.json
"""
filename = base_settings["unittest_data_dir"] / "measure-composite-example.json"
inst = measure.Measure.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Measure" == inst.resource_type
impl_measure_4(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "Measure" == data["resourceType"]
inst2 = measure.Measure(**data)
impl_measure_4(inst2)
def impl_measure_5(inst):
assert inst.date == fhirtypes.DateTime.validate("2014-03-08")
assert inst.description == (
"Exclusive breastfeeding measure of outcomes for exclusive "
"breastmilk feeding of newborns."
)
assert inst.group[0].id == "PopulationGroup1"
assert inst.group[0].population[0].code.coding[0].code == "initial-population"
assert inst.group[0].population[0].criteria.expression == "InitialPopulation1"
assert inst.group[0].population[0].criteria.language == "text/cql"
assert inst.group[0].population[1].code.coding[0].code == "denominator"
assert inst.group[0].population[1].criteria.expression == "Denominator1"
assert inst.group[0].population[1].criteria.language == "text/cql"
assert inst.group[0].population[2].code.coding[0].code == "denominator-exclusions"
assert inst.group[0].population[2].criteria.expression == "DenominatorExclusions1"
assert inst.group[0].population[2].criteria.language == "text/cql"
assert inst.group[0].population[3].code.coding[0].code == "numerator"
assert inst.group[0].population[3].criteria.expression == "Numerator1"
assert inst.group[0].population[3].criteria.language == "text/cql"
assert inst.group[1].id == "PopulationGroup2"
assert inst.group[1].population[0].code.coding[0].code == "initial-population"
assert inst.group[1].population[0].criteria.expression == "InitialPopulation2"
assert inst.group[1].population[0].criteria.language == "text/cql"
assert inst.group[1].population[1].code.coding[0].code == "denominator"
assert inst.group[1].population[1].criteria.expression == "Denominator2"
assert inst.group[1].population[1].criteria.language == "text/cql"
assert inst.group[1].population[2].code.coding[0].code == "denominator-exclusion"
assert inst.group[1].population[2].criteria.expression == "DenominatorExclusions2"
assert inst.group[1].population[2].criteria.language == "text/cql"
assert inst.group[1].population[3].code.coding[0].code == "numerator"
assert inst.group[1].population[3].criteria.expression == "Numerator2"
assert inst.group[1].population[3].criteria.language == "text/cql"
assert inst.id == "measure-predecessor-example"
assert inst.identifier[0].use == "official"
assert inst.identifier[0].value == "exclusive-breastfeeding-measure"
assert inst.improvementNotation.coding[0].code == "increase"
assert inst.improvementNotation.coding[0].system == (
"http://terminology.hl7.org/CodeSystem/measure-improvement-" "notation"
)
assert inst.library[0] == (
"http://example.org/fhir/Library/library-exclusive-" "breastfeeding-cqm-logic"
)
assert inst.meta.tag[0].code == "HTEST"
assert inst.meta.tag[0].display == "test health data"
assert (
inst.meta.tag[0].system == "http://terminology.hl7.org/CodeSystem/v3-ActReason"
)
assert inst.purpose == (
"Measure of newborns who were fed breast milk only since " "birth"
)
assert inst.relatedArtifact[0].citation == (
"American Academy of Pediatrics. (2005). Section on "
"Breastfeeding. Policy Statement:Breastfeeding and the Use of"
" Human Milk. Pediatrics.115:496-506."
)
assert inst.relatedArtifact[0].type == "documentation"
assert inst.relatedArtifact[1].type == "documentation"
assert inst.relatedArtifact[2].type == "documentation"
assert inst.relatedArtifact[3].type == "documentation"
assert inst.relatedArtifact[4].type == "documentation"
assert inst.relatedArtifact[5].type == "documentation"
assert inst.relatedArtifact[6].citation == (
"Kramer, M.S. & Kakuma, R. (2002).Optimal duration of "
"exclusive breastfeeding. [107 refs] Cochrane Database of "
"Systematic Reviews. (1):CD003517."
)
assert inst.relatedArtifact[6].type == "documentation"
assert inst.relatedArtifact[7].citation == (
"Petrova, A., Hegyi, T., & Mehta, R. (2007). Maternal "
"race/ethnicity and one-month exclusive breastfeeding in "
"association with the in-hospital feeding modality. "
"Breastfeeding Medicine. 2(2):92-8."
)
assert inst.relatedArtifact[7].type == "documentation"
assert inst.relatedArtifact[8].type == "documentation"
assert inst.relatedArtifact[9].type == "documentation"
assert inst.scoring.coding[0].code == "proportion"
assert inst.status == "active"
assert inst.text.status == "generated"
assert inst.title == "Exclusive Breastfeeding Measure"
assert inst.topic[0].text == "Exclusive Breastfeeding"
assert inst.type[0].coding[0].code == "process"
assert inst.version == "4.5.0"
def test_measure_5(base_settings):
"""No. 5 tests collection for Measure.
Test File: measure-predecessor-example.json
"""
filename = base_settings["unittest_data_dir"] / "measure-predecessor-example.json"
inst = measure.Measure.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Measure" == inst.resource_type
impl_measure_5(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "Measure" == data["resourceType"]
inst2 = measure.Measure(**data)
impl_measure_5(inst2)
def impl_measure_6(inst):
assert inst.approvalDate == fhirtypes.Date.validate("2016-01-01")
assert inst.author[0].name == "National Committee for Quality Assurance"
assert inst.contact[0].telecom[0].system == "url"
assert inst.contact[0].telecom[0].value == "http://www.ncqa.org/"
assert inst.date == fhirtypes.DateTime.validate("2017-03-10")
assert inst.description == (
"Percentage of children 3-18 years of age who were diagnosed "
"with pharyngitis, ordered an antibiotic and received a group"
" A streptococcus (strep) test for the episode."
)
assert inst.effectivePeriod.end == fhirtypes.DateTime.validate("2017-12-31")
assert inst.effectivePeriod.start == fhirtypes.DateTime.validate("2017-01-01")
assert inst.experimental is True
assert inst.group[0].id == "CMS146-group-1"
assert inst.group[0].population[0].code.coding[0].code == "initial-population"
assert (
inst.group[0].population[0].code.coding[0].system
== "http://terminology.hl7.org/CodeSystem/measure-population"
)
assert inst.group[0].population[0].criteria.expression == "CMS146.InitialPopulation"
assert inst.group[0].population[0].criteria.language == "text/cql"
assert inst.group[0].population[1].code.coding[0].code == "numerator"
assert (
inst.group[0].population[1].code.coding[0].system
== "http://terminology.hl7.org/CodeSystem/measure-population"
)
assert inst.group[0].population[1].criteria.expression == "CMS146.Numerator"
assert inst.group[0].population[1].criteria.language == "text/cql"
assert inst.group[0].population[2].code.coding[0].code == "denominator"
assert (
inst.group[0].population[2].code.coding[0].system
== "http://terminology.hl7.org/CodeSystem/measure-population"
)
assert inst.group[0].population[2].criteria.expression == "CMS146.Denominator"
assert inst.group[0].population[2].criteria.language == "text/cql"
assert inst.group[0].population[3].code.coding[0].code == "denominator-exclusion"
assert (
inst.group[0].population[3].code.coding[0].system
== "http://terminology.hl7.org/CodeSystem/measure-population"
)
assert (
inst.group[0].population[3].criteria.expression == "CMS146.DenominatorExclusion"
)
assert inst.group[0].population[3].criteria.language == "text/cql"
assert inst.group[0].stratifier[0].code.text == "stratifier-ages-up-to-9"
assert inst.group[0].stratifier[0].criteria.expression == "CMS146.AgesUpToNine"
assert inst.group[0].stratifier[0].criteria.language == "text/cql"
assert inst.group[0].stratifier[1].code.text == "stratifier-ages-10-plus"
assert inst.group[0].stratifier[1].criteria.expression == "CMS146.AgesTenPlus"
assert inst.group[0].stratifier[1].criteria.language == "text/cql"
assert inst.group[0].stratifier[2].code.text == "stratifier-gender"
assert inst.group[0].stratifier[2].criteria.expression == "Patient.gender"
assert inst.group[0].stratifier[2].criteria.language == "text/fhirpath"
assert inst.guidance == (
"This is an episode of care measure that examines all "
"eligible episodes for the patient during the measurement "
"period. If the patient has more than one episode, include "
"all episodes in the measure"
)
assert inst.id == "measure-cms146-example"
assert (
inst.identifier[0].system
== "http://hl7.org/fhir/cqi/ecqm/Measure/Identifier/cms"
)
assert inst.identifier[0].use == "official"
assert inst.identifier[0].value == "146"
assert (
inst.identifier[1].system
== "http://hl7.org/fhir/cqi/ecqm/Measure/Identifier/nqf"
)
assert inst.identifier[1].use == "official"
assert inst.identifier[1].value == "0002"
assert inst.improvementNotation.coding[0].code == "increase"
assert inst.improvementNotation.coding[0].system == (
"http://terminology.hl7.org/CodeSystem/measure-improvement-" "notation"
)
assert inst.jurisdiction[0].coding[0].code == "US"
assert inst.jurisdiction[0].coding[0].system == "urn:iso:std:iso:3166"
assert inst.lastReviewDate == fhirtypes.Date.validate("2016-09-01")
assert inst.library[0] == "http://hl7.org/fhir/Library/library-cms146-example"
assert inst.name == "CMS146"
assert inst.publisher == "National Committee for Quality Assurance"
assert inst.purpose == (
"Measure of children with a group A streptococcus test in the"
" 7-day period from 3 days prior through 3 days after the "
"diagnosis of pharyngitis"
)
assert inst.relatedArtifact[0].citation == (
"Linder, J.A., D.W. Bates, G.M. Lee, J.A. Finkelstein. 2005. "
"_Antibiotic treatment of children with sore throat._ JAMA "
"294(18):2315-2322. "
)
assert inst.relatedArtifact[0].type == "documentation"
assert inst.relatedArtifact[1].citation == (
"Infectious Diseases Society of America. 2012. _Clinical "
"Practice Guideline for the Diagnosis and Management of Group"
" A Streptococcal Pharyngitis: 2012 Update._ "
)
assert inst.relatedArtifact[1].type == "documentation"
assert inst.relatedArtifact[2].type == "documentation"
assert inst.scoring.coding[0].code == "proportion"
assert (
inst.scoring.coding[0].system
== "http://terminology.hl7.org/CodeSystem/measure-scoring"
)
assert inst.status == "active"
assert inst.supplementalData[0].code.text == "supplemental-data-gender"
assert inst.supplementalData[0].criteria.expression == "Patient.gender"
assert inst.supplementalData[0].criteria.language == "text/fhirpath"
assert inst.supplementalData[1].code.text == "supplemental-data-deceased"
assert inst.supplementalData[1].criteria.expression == "deceasedBoolean"
assert inst.supplementalData[1].criteria.language == "text/fhirpath"
assert inst.text.status == "additional"
assert inst.title == "Appropriate Testing for Children with Pharyngitis"
assert inst.topic[0].coding[0].code == "57024-2"
assert inst.topic[0].coding[0].system == "http://loinc.org"
assert inst.type[0].coding[0].code == "process"
assert (
inst.type[0].coding[0].system
== "http://terminology.hl7.org/CodeSystem/measure-type"
)
assert inst.url == "http://hl7.org/fhir/Measure/measure-cms146-example"
assert inst.useContext[0].code.code == "program"
assert (
inst.useContext[0].code.system
== "http://terminology.hl7.org/CodeSystem/usage-context-type"
)
assert inst.useContext[0].valueCodeableConcept.text == "eligibile-provider"
assert inst.useContext[1].code.code == "age"
assert (
inst.useContext[1].code.system
== "http://terminology.hl7.org/CodeSystem/usage-context-type"
)
assert inst.useContext[1].valueRange.high.unit == "a"
assert float(inst.useContext[1].valueRange.high.value) == float(18)
assert inst.useContext[1].valueRange.low.unit == "a"
assert float(inst.useContext[1].valueRange.low.value) == float(3)
assert inst.version == "1.0.0"
def test_measure_6(base_settings):
"""No. 6 tests collection for Measure.
Test File: measure-cms146-example.json
"""
filename = base_settings["unittest_data_dir"] / "measure-cms146-example.json"
inst = measure.Measure.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Measure" == inst.resource_type
impl_measure_6(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "Measure" == data["resourceType"]
inst2 = measure.Measure(**data)
impl_measure_6(inst2)
def impl_measure_7(inst):
assert inst.group[0].id == "Main"
assert inst.group[0].population[0].code.coding[0].code == "initial-population"
assert inst.group[0].population[0].criteria.expression == "Initial Population"
assert inst.group[0].population[0].criteria.language == "text/cql"
assert inst.group[0].population[1].code.coding[0].code == "denominator"
assert inst.group[0].population[1].criteria.expression == "Denominator"
assert inst.group[0].population[1].criteria.language == "text/cql"
assert inst.group[0].population[2].code.coding[0].code == "numerator"
assert inst.group[0].population[2].criteria.expression == "Numerator"
assert inst.group[0].population[2].criteria.language == "text/cql"
assert inst.id == "component-b-example"
assert inst.meta.tag[0].code == "HTEST"
assert inst.meta.tag[0].display == "test health data"
assert (
inst.meta.tag[0].system == "http://terminology.hl7.org/CodeSystem/v3-ActReason"
)
assert inst.scoring.coding[0].code == "proportion"
assert inst.status == "draft"
assert inst.text.status == "generated"
assert inst.title == "Screening for Depression"
def test_measure_7(base_settings):
"""No. 7 tests collection for Measure.
Test File: measure-component-b-example.json
"""
filename = base_settings["unittest_data_dir"] / "measure-component-b-example.json"
inst = measure.Measure.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Measure" == inst.resource_type
impl_measure_7(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "Measure" == data["resourceType"]
inst2 = measure.Measure(**data)
impl_measure_7(inst2)
| 47.545205
| 88
| 0.681889
| 4,478
| 34,708
| 5.249665
| 0.095578
| 0.152289
| 0.123788
| 0.055811
| 0.869364
| 0.839799
| 0.805896
| 0.753403
| 0.706611
| 0.637315
| 0
| 0.033239
| 0.167858
| 34,708
| 729
| 89
| 47.610425
| 0.780694
| 0.034488
| 0
| 0.444099
| 0
| 0.001553
| 0.298449
| 0.029465
| 0
| 0
| 0
| 0
| 0.580745
| 1
| 0.021739
| false
| 0
| 0.004658
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| 0.026398
| 0
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| 0
| null | 0
| 0
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| 1
| 1
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| 1
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| null | 0
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| 0
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| 0
|
0
| 7
|
3d36492c609f5de4fe587fcc0ac04ff83a893056
| 7,091
|
py
|
Python
|
venv/lib/python3.6/site-packages/ansible_collections/community/general/tests/unit/plugins/modules/cloud/misc/test_proxmox_tasks_info.py
|
usegalaxy-no/usegalaxy
|
75dad095769fe918eb39677f2c887e681a747f3a
|
[
"MIT"
] | 22
|
2021-07-16T08:11:22.000Z
|
2022-03-31T07:15:34.000Z
|
venv/lib/python3.6/site-packages/ansible_collections/community/general/tests/unit/plugins/modules/cloud/misc/test_proxmox_tasks_info.py
|
usegalaxy-no/usegalaxy
|
75dad095769fe918eb39677f2c887e681a747f3a
|
[
"MIT"
] | 12
|
2020-02-21T07:24:52.000Z
|
2020-04-14T09:54:32.000Z
|
venv/lib/python3.6/site-packages/ansible_collections/community/general/tests/unit/plugins/modules/cloud/misc/test_proxmox_tasks_info.py
|
usegalaxy-no/usegalaxy
|
75dad095769fe918eb39677f2c887e681a747f3a
|
[
"MIT"
] | 39
|
2021-07-05T02:31:42.000Z
|
2022-03-31T02:46:03.000Z
|
# -*- coding: utf-8 -*-
# Copyright: (c) 2021, Andreas Botzner (@paginabianca) <andreas at botzner dot com>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
#
# Proxmox Tasks module unit tests.
# The API responses used in these tests were recorded from PVE version 6.4-8
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import pytest
import json
from ansible_collections.community.general.plugins.modules.cloud.misc import proxmox_tasks_info
from ansible_collections.community.general.plugins.module_utils.proxmox import ProxmoxAnsible
from ansible_collections.community.general.tests.unit.compat.mock import MagicMock, patch
from ansible_collections.community.general.tests.unit.plugins.modules.utils import (
AnsibleExitJson, AnsibleFailJson, ModuleTestCase, set_module_args
)
from ansible_collections.community.general.tests.unit.plugins.modules.utils import set_module_args
from ansible_collections.community.general.plugins.module_utils import proxmox
NODE = 'node01'
TASK_UPID = 'UPID:iaclab-01-01:000029DD:1599528B:6108F068:srvreload:networking:root@pam:'
TASKS = [
{
"endtime": 1629092710,
"id": "networking",
"node": "iaclab-01-01",
"pid": 3539,
"pstart": 474062216,
"starttime": 1629092709,
"status": "OK",
"type": "srvreload",
"upid": "UPID:iaclab-01-01:00000DD3:1C419D88:6119FB65:srvreload:networking:root@pam:",
"user": "root@pam"
},
{
"endtime": 1627975785,
"id": "networking",
"node": "iaclab-01-01",
"pid": 10717,
"pstart": 362369675,
"starttime": 1627975784,
"status": "command 'ifreload -a' failed: exit code 1",
"type": "srvreload",
"upid": "UPID:iaclab-01-01:000029DD:1599528B:6108F068:srvreload:networking:root@pam:",
"user": "root@pam"
},
{
"endtime": 1627975503,
"id": "networking",
"node": "iaclab-01-01",
"pid": 6778,
"pstart": 362341540,
"starttime": 1627975503,
"status": "OK",
"type": "srvreload",
"upid": "UPID:iaclab-01-01:00001A7A:1598E4A4:6108EF4F:srvreload:networking:root@pam:",
"user": "root@pam"
}
]
EXPECTED_TASKS = [
{
"endtime": 1629092710,
"id": "networking",
"node": "iaclab-01-01",
"pid": 3539,
"pstart": 474062216,
"starttime": 1629092709,
"status": "OK",
"type": "srvreload",
"upid": "UPID:iaclab-01-01:00000DD3:1C419D88:6119FB65:srvreload:networking:root@pam:",
"user": "root@pam",
"failed": False
},
{
"endtime": 1627975785,
"id": "networking",
"node": "iaclab-01-01",
"pid": 10717,
"pstart": 362369675,
"starttime": 1627975784,
"status": "command 'ifreload -a' failed: exit code 1",
"type": "srvreload",
"upid": "UPID:iaclab-01-01:000029DD:1599528B:6108F068:srvreload:networking:root@pam:",
"user": "root@pam",
"failed": True
},
{
"endtime": 1627975503,
"id": "networking",
"node": "iaclab-01-01",
"pid": 6778,
"pstart": 362341540,
"starttime": 1627975503,
"status": "OK",
"type": "srvreload",
"upid": "UPID:iaclab-01-01:00001A7A:1598E4A4:6108EF4F:srvreload:networking:root@pam:",
"user": "root@pam",
"failed": False
}
]
EXPECTED_SINGLE_TASK = [
{
"endtime": 1627975785,
"id": "networking",
"node": "iaclab-01-01",
"pid": 10717,
"pstart": 362369675,
"starttime": 1627975784,
"status": "command 'ifreload -a' failed: exit code 1",
"type": "srvreload",
"upid": "UPID:iaclab-01-01:000029DD:1599528B:6108F068:srvreload:networking:root@pam:",
"user": "root@pam",
"failed": True
},
]
@patch('ansible_collections.community.general.plugins.module_utils.proxmox.ProxmoxAnsible._connect')
def test_without_required_parameters(connect_mock, capfd, mocker):
set_module_args({})
with pytest.raises(SystemExit):
proxmox_tasks_info.main()
out, err = capfd.readouterr()
assert not err
assert json.loads(out)['failed']
@patch('ansible_collections.community.general.plugins.module_utils.proxmox.ProxmoxAnsible._connect')
def test_get_tasks(connect_mock, capfd, mocker):
set_module_args({'api_host': 'proxmoxhost',
'api_user': 'root@pam',
'api_password': 'supersecret',
'node': NODE})
def f():
m = mocker.MagicMock()
g = mocker.MagicMock()
m.nodes = mocker.MagicMock(return_value=g)
g.tasks.get = mocker.MagicMock(return_value=TASKS)
return m
connect_mock.side_effect = f
proxmox_tasks_info.HAS_PROXMOXER = True
with pytest.raises(SystemExit):
proxmox_tasks_info.main()
out, err = capfd.readouterr()
assert not err
assert len(json.loads(out)['proxmox_tasks']) != 0
assert not json.loads(out)['changed']
@patch('ansible_collections.community.general.plugins.module_utils.proxmox.ProxmoxAnsible._connect')
def test_get_single_task(connect_mock, capfd, mocker):
set_module_args({'api_host': 'proxmoxhost',
'api_user': 'root@pam',
'api_password': 'supersecret',
'node': NODE,
'task': TASK_UPID})
def f():
m = mocker.MagicMock()
g = mocker.MagicMock()
m.nodes = mocker.MagicMock(return_value=g)
g.tasks.get = mocker.MagicMock(return_value=TASKS)
return m
connect_mock.side_effect = f
proxmox_tasks_info.HAS_PROXMOXER = True
with pytest.raises(SystemExit):
proxmox_tasks_info.main()
out, err = capfd.readouterr()
assert not err
assert len(json.loads(out)['proxmox_tasks']) == 1
assert json.loads(out)
assert not json.loads(out)['changed']
@patch('ansible_collections.community.general.plugins.module_utils.proxmox.ProxmoxAnsible._connect')
def test_get_non_existent_task(connect_mock, capfd, mocker):
set_module_args({'api_host': 'proxmoxhost',
'api_user': 'root@pam',
'api_password': 'supersecret',
'node': NODE,
'task': 'UPID:nonexistent'})
def f():
m = mocker.MagicMock()
g = mocker.MagicMock()
m.nodes = mocker.MagicMock(return_value=g)
g.tasks.get = mocker.MagicMock(return_value=TASKS)
return m
connect_mock.side_effect = f
proxmox_tasks_info.HAS_PROXMOXER = True
with pytest.raises(SystemExit):
proxmox_tasks_info.main()
out, err = capfd.readouterr()
assert not err
assert json.loads(out)['failed']
assert 'proxmox_tasks' not in json.loads(out)
assert not json.loads(out)['changed']
assert json.loads(
out)['msg'] == 'Task: UPID:nonexistent does not exist on node: node01.'
| 33.606635
| 100
| 0.62262
| 793
| 7,091
| 5.433796
| 0.209332
| 0.029241
| 0.034811
| 0.078905
| 0.846136
| 0.846136
| 0.835693
| 0.816663
| 0.783012
| 0.765839
| 0
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| 0.238189
| 7,091
| 210
| 101
| 33.766667
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| 0
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| 0.306104
| 0.141551
| 0
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| 1
| 0.038462
| false
| 0.016484
| 0.049451
| 0
| 0.104396
| 0.005495
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0
| 7
|
e9f8ab8264275aac63c0fa1690a0834c8d736cf8
| 26,530
|
py
|
Python
|
darkfb.py
|
belajarhacker/darkfb
|
a56265283ca52e7adb0537e44ca6d0e163ac4be5
|
[
"Apache-2.0"
] | null | null | null |
darkfb.py
|
belajarhacker/darkfb
|
a56265283ca52e7adb0537e44ca6d0e163ac4be5
|
[
"Apache-2.0"
] | null | null | null |
darkfb.py
|
belajarhacker/darkfb
|
a56265283ca52e7adb0537e44ca6d0e163ac4be5
|
[
"Apache-2.0"
] | 1
|
2020-06-04T14:20:15.000Z
|
2020-06-04T14:20:15.000Z
|
# Compile by Anbia Nuansyah
# Created by SANSBAE (https://github.com/SansBae)
# Instagram : @sansbae25
import marshal,zlib,base64
exec(marshal.loads(zlib.decompress(base64.b64decode("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0
| 10
|
181795616d2fa87dfac4528d330bb5b1f863f7dd
| 6,843
|
py
|
Python
|
populus-tests/block-scheduling/test_block_claiming.py
|
romil797/ethereum-alarm-clock
|
b2710fb9ff24794fdb1100cdb80acee7efaeb94c
|
[
"MIT"
] | 15
|
2017-09-19T20:54:00.000Z
|
2018-12-09T16:09:22.000Z
|
populus-tests/block-scheduling/test_block_claiming.py
|
romil797/ethereum-alarm-clock
|
b2710fb9ff24794fdb1100cdb80acee7efaeb94c
|
[
"MIT"
] | null | null | null |
populus-tests/block-scheduling/test_block_claiming.py
|
romil797/ethereum-alarm-clock
|
b2710fb9ff24794fdb1100cdb80acee7efaeb94c
|
[
"MIT"
] | 5
|
2017-11-17T20:18:06.000Z
|
2018-10-10T13:55:46.000Z
|
import pytest
def test_cannot_claim_before_first_claim_block(chain, web3, RequestData, get_claim_data):
txn_request = RequestData(windowStart=web3.eth.blockNumber + 255 + 10 + 5).direct_deploy()
request_data = RequestData.from_contract(txn_request)
first_claim_block = request_data.schedule.windowStart - request_data.schedule.freezePeriod - request_data.schedule.claimWindowSize
# sanity
assert first_claim_block > web3.eth.blockNumber
chain.wait.for_block(first_claim_block - 1)
claim_txn_hash = txn_request.transact({
'value': 2 * request_data.paymentData.payment,
}).claim()
chain.wait.for_receipt(claim_txn_hash)
with pytest.raises(AssertionError):
get_claim_data(claim_txn_hash)
request_data.refresh()
assert request_data.claimData.claimedBy == '0x0000000000000000000000000000000000000000'
def test_can_claim_at_first_claim_block(chain, web3, RequestData, get_claim_data):
txn_request = RequestData(windowStart=web3.eth.blockNumber + 255 + 10 + 5).direct_deploy()
request_data = RequestData.from_contract(txn_request)
first_claim_block = request_data.schedule.windowStart - request_data.schedule.freezePeriod - request_data.schedule.claimWindowSize
# sanity
assert first_claim_block > web3.eth.blockNumber
chain.wait.for_block(first_claim_block)
claim_txn_hash = txn_request.transact({
'value': 2 * request_data.paymentData.payment,
}).claim()
chain.wait.for_receipt(claim_txn_hash)
claim_data = get_claim_data(claim_txn_hash)
assert claim_data
request_data.refresh()
assert request_data.claimData.claimedBy == web3.eth.coinbase
def test_can_claim_at_last_claim_block(chain, web3, RequestData):
txn_request = RequestData(windowStart=web3.eth.blockNumber + 255 + 10 + 5).direct_deploy()
request_data = RequestData.from_contract(txn_request)
last_claim_block = request_data.schedule.windowStart - request_data.schedule.freezePeriod - 1
# sanity
assert last_claim_block > web3.eth.blockNumber
chain.wait.for_block(last_claim_block)
claim_txn_hash = txn_request.transact({
'value': 2 * request_data.paymentData.payment,
}).claim()
chain.wait.for_receipt(claim_txn_hash)
request_data.refresh()
assert request_data.claimData.claimedBy == web3.eth.coinbase
def test_cannot_claim_after_last_claim_block(chain, web3, RequestData, get_claim_data):
txn_request = RequestData(windowStart=web3.eth.blockNumber + 255 + 10 + 5).direct_deploy()
request_data = RequestData.from_contract(txn_request)
last_claim_block = request_data.schedule.windowStart - request_data.schedule.freezePeriod
# sanity
assert last_claim_block > web3.eth.blockNumber
chain.wait.for_block(last_claim_block)
claim_txn_hash = txn_request.transact({
'value': 2 * request_data.paymentData.payment,
}).claim()
chain.wait.for_receipt(claim_txn_hash)
with pytest.raises(AssertionError):
get_claim_data(claim_txn_hash)
request_data.refresh()
assert request_data.claimData.claimedBy == '0x0000000000000000000000000000000000000000'
def test_executing_own_claimed_block_request(chain,
web3,
RequestData,
get_execute_data,
get_claim_data):
txn_request = RequestData(windowStart=web3.eth.blockNumber + 255 + 10 + 5).direct_deploy()
request_data = RequestData.from_contract(txn_request)
first_claim_block = request_data.schedule.windowStart - request_data.schedule.freezePeriod - request_data.schedule.claimWindowSize
# sanity
assert first_claim_block > web3.eth.blockNumber
chain.wait.for_block(first_claim_block)
claim_txn_hash = txn_request.transact({
'value': 2 * request_data.paymentData.payment,
'from': web3.eth.accounts[1],
}).claim()
chain.wait.for_receipt(claim_txn_hash)
request_data.refresh()
assert request_data.claimData.claimedBy == web3.eth.accounts[1]
assert get_claim_data(claim_txn_hash)
chain.wait.for_block(request_data.schedule.windowStart)
execute_txn_hash = txn_request.transact({
'from': web3.eth.accounts[1],
'gas': 3000000,
}).execute()
chain.wait.for_receipt(execute_txn_hash)
request_data.refresh()
assert request_data.meta.wasCalled is True
assert get_execute_data(execute_txn_hash)
def test_executing_claimed_call_after_block_reserved_window(chain,
web3,
RequestData,
get_claim_data,
get_execute_data):
txn_request = RequestData(windowStart=web3.eth.blockNumber + 255 + 10 + 5).direct_deploy()
request_data = RequestData.from_contract(txn_request)
first_claim_block = request_data.schedule.windowStart - request_data.schedule.freezePeriod - request_data.schedule.claimWindowSize
# sanity
assert first_claim_block > web3.eth.blockNumber
chain.wait.for_block(first_claim_block)
claim_txn_hash = txn_request.transact({
'value': 2 * request_data.paymentData.payment,
'from': web3.eth.accounts[1],
}).claim()
chain.wait.for_receipt(claim_txn_hash)
request_data.refresh()
assert request_data.claimData.claimedBy == web3.eth.accounts[1]
assert get_claim_data(claim_txn_hash)
chain.wait.for_block(request_data.schedule.windowStart + request_data.schedule.reservedWindowSize)
execute_txn_hash = txn_request.transact({'gas': 3000000}).execute()
chain.wait.for_receipt(execute_txn_hash)
request_data.refresh()
assert request_data.meta.wasCalled is True
assert get_execute_data(execute_txn_hash)
def test_claim_block_determines_payment_amount(chain, web3, RequestData):
txn_request = RequestData(windowStart=web3.eth.blockNumber + 255 + 10 + 5).direct_deploy()
request_data = RequestData.from_contract(txn_request)
claim_at = request_data.schedule.windowStart - request_data.schedule.freezePeriod - request_data.schedule.claimWindowSize + request_data.schedule.claimWindowSize * 2 // 3
expected_payment_modifier = 100 * 2 // 3
# sanity
assert request_data.claimData.paymentModifier == 0
assert claim_at > web3.eth.blockNumber
chain.wait.for_block(claim_at)
claim_txn_hash = txn_request.transact({
'value': 2 * request_data.paymentData.payment,
}).claim()
chain.wait.for_receipt(claim_txn_hash)
request_data.refresh()
assert request_data.claimData.paymentModifier == expected_payment_modifier
| 35.827225
| 174
| 0.714014
| 812
| 6,843
| 5.678571
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| 0.094773
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| 0.919974
| 0.899154
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| 0.857515
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| 6,843
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| 175
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|
0
| 7
|
187dbcdc7b229d6e0034ddd0d0a2b5ef630e827a
| 997
|
py
|
Python
|
biobb_analysis/test/unitests/test_gromacs/test_gmx_trjconv_str_container.py
|
bioexcel/biobb_analysis
|
794683daf65eb13ddaaaf6cf3c19da6d1322a949
|
[
"Apache-2.0"
] | 3
|
2019-05-18T14:52:30.000Z
|
2020-10-18T06:20:00.000Z
|
biobb_analysis/test/unitests/test_gromacs/test_gmx_trjconv_str_container.py
|
bioexcel/biobb_analysis
|
794683daf65eb13ddaaaf6cf3c19da6d1322a949
|
[
"Apache-2.0"
] | 7
|
2019-03-04T15:04:28.000Z
|
2021-06-17T10:57:25.000Z
|
biobb_analysis/test/unitests/test_gromacs/test_gmx_trjconv_str_container.py
|
bioexcel/biobb_analysis
|
794683daf65eb13ddaaaf6cf3c19da6d1322a949
|
[
"Apache-2.0"
] | null | null | null |
from biobb_common.tools import test_fixtures as fx
from biobb_analysis.gromacs.gmx_trjconv_str import gmx_trjconv_str
class TestGMXTrjConvStrDocker():
def setUp(self):
fx.test_setup(self,'gmx_trjconv_str_docker')
def tearDown(self):
fx.test_teardown(self)
pass
def test_trjconv_str_docker(self):
gmx_trjconv_str(properties=self.properties, **self.paths)
assert fx.not_empty(self.paths['output_str_path'])
assert fx.equal(self.paths['output_str_path'], self.paths['ref_output_str_path'])
class TestGMXTrjConvStrSingularity():
def setUp(self):
fx.test_setup(self,'gmx_trjconv_str_singularity')
def tearDown(self):
fx.test_teardown(self)
pass
def test_trjconv_str_singularity(self):
gmx_trjconv_str(properties=self.properties, **self.paths)
assert fx.not_empty(self.paths['output_str_path'])
assert fx.equal(self.paths['output_str_path'], self.paths['ref_output_str_path'])
| 34.37931
| 89
| 0.722166
| 136
| 997
| 4.977941
| 0.242647
| 0.118168
| 0.115214
| 0.100443
| 0.714919
| 0.714919
| 0.714919
| 0.714919
| 0.714919
| 0.714919
| 0
| 0
| 0.172518
| 997
| 29
| 90
| 34.37931
| 0.820606
| 0
| 0
| 0.636364
| 0
| 0
| 0.147295
| 0.049098
| 0
| 0
| 0
| 0
| 0.181818
| 1
| 0.272727
| false
| 0.090909
| 0.090909
| 0
| 0.454545
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
43f5191f12d94891e7dd34ede471317b2f5c264a
| 819
|
py
|
Python
|
Part_3_advanced/m15_design_patterns/abstract_factory/example_1/document_system/welcome_letter.py
|
Mikma03/InfoShareacademy_Python_Courses
|
3df1008c8c92831bebf1625f960f25b39d6987e6
|
[
"MIT"
] | null | null | null |
Part_3_advanced/m15_design_patterns/abstract_factory/example_1/document_system/welcome_letter.py
|
Mikma03/InfoShareacademy_Python_Courses
|
3df1008c8c92831bebf1625f960f25b39d6987e6
|
[
"MIT"
] | null | null | null |
Part_3_advanced/m15_design_patterns/abstract_factory/example_1/document_system/welcome_letter.py
|
Mikma03/InfoShareacademy_Python_Courses
|
3df1008c8c92831bebf1625f960f25b39d6987e6
|
[
"MIT"
] | null | null | null |
from typing import Protocol
class WelcomeLetter(Protocol):
def render(self) -> str:
...
def sign(self, signature: str) -> None:
...
class WelcomeLetterPdf:
def __init__(self, name: str) -> None:
self.name = name
self.signature = ""
def render(self) -> str:
return f"PDF\n Witaj {self.name}! \n\n Treść listu \n {self.signature}"
def sign(self, signature: str) -> None:
self.signature = f"Podpisano: {signature}"
class WelcomeLetterDoc:
def __init__(self, name: str) -> None:
self.name = name
self.signature = ""
def render(self) -> str:
return f"DOC\n Witaj {self.name}! \n\n Treść listu \n {self.signature}"
def sign(self, signature: str) -> None:
self.signature = f"Podpisano: {signature}-doc"
| 24.088235
| 79
| 0.598291
| 102
| 819
| 4.72549
| 0.254902
| 0.242739
| 0.091286
| 0.099585
| 0.757261
| 0.757261
| 0.701245
| 0.701245
| 0.701245
| 0.701245
| 0
| 0
| 0.262515
| 819
| 33
| 80
| 24.818182
| 0.798013
| 0
| 0
| 0.636364
| 0
| 0.090909
| 0.20757
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.363636
| false
| 0
| 0.045455
| 0.090909
| 0.636364
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
43f7c517129f818adeea158d1cc9537f0e356f48
| 36,254
|
py
|
Python
|
solvers/__init__.py
|
kevinychen/nikoli-puzzle-solver
|
be288566e9b864d7acd0c063a6d2bc1fc067a32c
|
[
"MIT"
] | 4
|
2022-01-03T04:21:08.000Z
|
2022-02-25T05:51:59.000Z
|
solvers/__init__.py
|
kevinychen/nikoli-puzzle-solver
|
be288566e9b864d7acd0c063a6d2bc1fc067a32c
|
[
"MIT"
] | null | null | null |
solvers/__init__.py
|
kevinychen/nikoli-puzzle-solver
|
be288566e9b864d7acd0c063a6d2bc1fc067a32c
|
[
"MIT"
] | 1
|
2022-01-12T00:03:48.000Z
|
2022-01-12T00:03:48.000Z
|
from re import match
from typing import Optional
from solvers.aquarium import AquariumSolver
from solvers.balanceloop import BalanceLoopSolver
from solvers.castlewall import CastleWallSolver
from solvers.cave import CaveSolver
from solvers.easyasabc import EasyAsAbcSolver
from solvers.fillomino import FillominoSolver
from solvers.hashiwokakero import HashiwokakeroSolver
from solvers.heteromino import HeterominoSolver
from solvers.heyawake import HeyawakeSolver
from solvers.hitori import HitoriSolver
from solvers.kakuro import KakuroSolver
from solvers.kropki import KropkiSolver
from solvers.lightup import LightUpSolver
from solvers.lits import LITSSolver
from solvers.masyu import MasyuSolver
from solvers.meanderingnumbers import MeanderingNumbersSolver
from solvers.minesweeper import MinesweeperSolver
from solvers.nonogram import NonogramSolver
from solvers.numberlink import NumberlinkSolver
from solvers.nurikabe import NurikabeSolver
from solvers.shakashaka import ShakashakaSolver
from solvers.shikaku import ShikakuSolver
from solvers.simpleloop import SimpleLoopSolver
from solvers.skyscrapers import SkyscrapersSolver
from solvers.slitherlink import SlitherlinkSolver
from solvers.starbattle import StarBattleSolver
from solvers.sudoku import SudokuSolver
from solvers.tapa import TapaSolver
from solvers.tapalikeloop import TapaLikeLoopSolver
from solvers.tentaisho import TentaishoSolver
from solvers.tents import TentsSolver
from solvers.yajilin import YajilinSolver
from solvers.yinyang import YinYangSolver
PUZZLES = [
('aquarium', "Aquarium", AquariumSolver),
('balance', "Balance Loop (Shingoki)", BalanceLoopSolver),
('castle', "Castle Wall", CastleWallSolver),
('cave', "Cave", CaveSolver),
('easyasabc', "Easy as ABC", EasyAsAbcSolver),
('fillomino', "Fillomino", FillominoSolver),
('hashikake', "Hashiwokakero", HashiwokakeroSolver),
('heteromino', "Heteromino", HeterominoSolver),
('heyawake', "Heyawake", HeyawakeSolver),
('hitori', "Hitori", HitoriSolver),
('kakuro', "Kakuro", KakuroSolver),
('kropki', "Kropki", KropkiSolver),
('lightup', "Light Up (Akari)", LightUpSolver),
('lits', "LITS", LITSSolver),
('mashu', "Masyu", MasyuSolver),
('meander', "Meandering Numbers", MeanderingNumbersSolver),
('mines', "Minesweeper", MinesweeperSolver),
('nonogram', "Nonogram", NonogramSolver),
('numlin', "Numberlink", NumberlinkSolver),
('nurikabe', "Nurikabe", NurikabeSolver),
('shakashaka', "Shakashaka", ShakashakaSolver),
('shikaku', "Shikaku", ShikakuSolver),
('simpleloop', "Simple Loop", SimpleLoopSolver),
('skyscrapers', "Skyscrapers", SkyscrapersSolver),
('slither', "Slitherlink", SlitherlinkSolver),
('starbattle', "Star Battle", StarBattleSolver),
('sudoku', "Sudoku", SudokuSolver),
('tapa', "Tapa", TapaSolver),
('tapaloop', "Tapa-Like Loop", TapaLikeLoopSolver),
('tentaisho', "Tentaisho (Spiral Galaxies)", TentaishoSolver),
('tents', "Tents", TentsSolver),
('yajilin', "Yajilin", YajilinSolver),
('yinyang', "Yin Yang", YinYangSolver),
]
DEMOS = [
(
'pzprv3/aquarium/6/6/1 0 1 1 0 /0 0 1 1 1 /0 1 1 1 1 /1 1 0 1 0 /1 1 0 1 1 /0 0 1 0 1 /1 1 1 1 1 1 /1 1 0 0 0 0'
' /1 1 1 1 1 1 /0 0 1 1 1 1 /1 1 1 1 0 1 /. 2 3 4 2 2 4 /3 . . . . . . /3 . . . . . . /3 . . . . . . /2 . . . .'
' . . /2 . . . . . . /4 . . . . . . /',
'pzprv3/aquarium/6/6/1 0 1 1 0 /0 0 1 1 1 /0 1 1 1 1 /1 1 0 1 0 /1 1 0 1 1 /0 0 1 0 1 /1 1 1 1 1 1 /1 1 0 0 0 0'
' /1 1 1 1 1 1 /0 0 1 1 1 1 /1 1 1 1 0 1 /. 2 3 4 2 2 4 /3 + + + # # # /3 # # # + + + /3 + + # + # # /2 + + # #'
' + + /2 + # + + + # /4 # # # + + # /',
),
(
'pzprv3/balance/10/10/. . 0,-2 0,-2 0,-2 0,-2 0,-2 0,-2 . . /. . . . . . . . . . /. 0,4 . 0,6 . . 1,4 . 1,6 . /'
'. . . . . . . . . . /. . . . 1,-2 0,-2 . . . . /. . . . . . . . . . /. 1,-2 0,-2 . 0,-2 1,-2 . 0,-2 1,-2 . /. '
'. . . . . . . . . /. . . . 0,-2 0,-2 . . . . /0,-2 . . 0,6 . . 1,6 . . 0,-2 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 '
'0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 '
'0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 /'
'0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 /0 0 0'
' 0 0 0 0 0 0 0 /',
'pzprv3/balance/10/10/. . 0,-2 0,-2 0,-2 0,-2 0,-2 0,-2 . . /. . . . . . . . . . /. 0,4 . 0,6 . . 1,4 . 1,6 . /'
'. . . . . . . . . . /. . . . 1,-2 0,-2 . . . . /. . . . . . . . . . /. 1,-2 0,-2 . 0,-2 1,-2 . 0,-2 1,-2 . /. '
'. . . . . . . . . /. . . . 0,-2 0,-2 . . . . /0,-2 . . 0,6 . . 1,6 . . 0,-2 /0 1 0 1 0 1 0 1 0 /0 0 1 0 1 0 1 '
'0 1 /0 0 0 1 1 1 0 0 1 /0 0 0 0 0 0 1 0 0 /0 1 0 0 1 1 0 0 0 /0 0 0 1 0 0 0 0 0 /1 0 0 1 1 0 0 0 0 /0 0 0 0 1 '
'0 0 0 1 /0 1 0 0 1 0 0 0 0 /1 1 1 0 0 1 0 1 1 /0 1 1 1 1 1 1 1 1 0 /0 1 0 0 0 0 0 0 0 1 /0 1 0 1 0 0 1 0 1 0 /'
'0 1 0 1 0 0 0 1 1 0 /0 0 1 1 1 0 1 1 1 0 /0 0 1 0 0 0 1 1 1 0 /1 1 1 1 0 1 1 1 1 0 /1 1 1 1 1 0 1 1 0 1 /1 0 0'
' 1 0 1 1 1 0 1 /',
),
(
'pzprv3/castle/7/7/0,-1,0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 /0,-1,0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 2,1,1 0'
',-1,0 /0,-1,0 1,0,1 0,-1,0 0,-,2 0,-1,0 0,-1,0 0,-1,0 /0,-1,0 0,-1,0 0,-1,0 3,2,2 0,-1,0 0,-1,0 0,-1,0 /0,-1,0'
' 0,-1,0 0,-1,0 0,-,2 0,-1,0 3,2,1 0,-1,0 /0,-1,0 4,3,1 0,-1,0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 /0,-1,0 0,-1,0 0,-1,'
'0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0'
' 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /',
'pzprv3/castle/7/7/0,-1,0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 /0,-1,0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 2,1,1 0'
',-1,0 /0,-1,0 1,0,1 0,-1,0 0,-,2 0,-1,0 0,-1,0 0,-1,0 /0,-1,0 0,-1,0 0,-1,0 3,2,2 0,-1,0 0,-1,0 0,-1,0 /0,-1,0'
' 0,-1,0 0,-1,0 0,-,2 0,-1,0 3,2,1 0,-1,0 /0,-1,0 4,3,1 0,-1,0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 /0,-1,0 0,-1,0 0,-1,'
'0 0,-1,0 0,-1,0 0,-1,0 0,-1,0 /1 1 1 1 1 1 /0 0 1 1 0 0 /0 0 0 0 0 0 /1 1 0 0 0 0 /1 1 0 0 0 0 /0 0 1 1 0 1 /1'
' 1 1 1 1 0 /1 0 0 0 0 0 1 /1 0 1 0 1 0 1 /1 0 1 0 1 0 1 /0 0 0 0 1 0 1 /1 0 1 0 1 0 1 /1 0 0 0 0 1 0 /',
),
(
'pzprv3/cave/10/10/6 . . . 6 . . . . 4 /. . . . . 6 . . . . /. . 3 . . . . 5 . . /. . . 7 . . 9 . . . /. 5 . . '
'3 . . . . 5 /5 . . . . 5 . . 2 . /. . . 2 . . 4 . . . /. . 7 . . . . 4 . . /. . . . 2 . . . . . /5 . . . . 6 .'
' . . 6 /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . '
'. /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /',
'pzprv3/cave/10/10/6 . . . 6 . . . . 4 /. . . . . 6 . . . . /. . 3 . . . . 5 . . /. . . 7 . . 9 . . . /. 5 . . '
'3 . . . . 5 /5 . . . . 5 . . 2 . /. . . 2 . . 4 . . . /. . 7 . . . . 4 . . /. . . . 2 . . . . . /5 . . . . 6 .'
' . . 6 /+ + + + + + # + + + /# # # # # + + + + + /# + + # # # + + + # /+ + + + + + + # + + /+ + # # + + # # # '
'+ /+ + + # # + + # + + /# # + + # + + # # + /+ + + # # # + + # + /+ + + # + # # + # # /+ + + # + + + + + + /',
),
(
'pzprv3/easyasabc/5/5/3/. . 2 . 1 3 . /1 . . . . . 3 /1 . . . . . 3 /. . . . . . . /. . . . . . 3 /3 . . . . . '
'1 /. 2 . 1 . 1 . /',
'pzprv3/easyasabc/5/5/3/. . 2 . 1 3 . /1 1 2 3 - - 3 /1 - 1 2 - 3 3 /. 3 - - 1 2 . /. 2 - 1 3 - 3 /3 - 3 - 2 1 '
'1 /. 2 . 1 . 1 . /',
),
(
'pzprv3/fillomino/9/9/. . . . . . . 2 3 /. 3 2 6 . . . . . /. . . 2 . . . . . /. 5 2 1 . 4 2 2 . /. 3 . . . . .'
' 3 . /. 2 1 5 . 5 7 9 . /. . . . . . . 2 . /. . . . . 5 2 4 . /2 3 . . . . . . . /. . . . . . . . . /. . . . .'
' . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . .'
' . . . . . . /. . . . . . . . . /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0'
' 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0'
' 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0'
' 0 0 0 /',
'pzprv3/fillomino/9/9/. . . . . . . 2 3 /. 3 2 6 . . . . . /. . . 2 . . . . . /. 5 2 1 . 4 2 2 . /. 3 . . . . .'
' 3 . /. 2 1 5 . 5 7 9 . /. . . . . . . 2 . /. . . . . 5 2 4 . /2 3 . . . . . . . /. . . . . . . . . /. . . . .'
' . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . .'
' . . . . . . /. . . . . . . . . /0 1 1 0 0 1 0 1 /1 1 1 0 0 1 1 0 /0 0 1 0 1 0 0 0 /1 1 1 1 0 1 0 1 /0 1 1 0 1'
' 0 0 1 /0 1 1 0 0 1 1 0 /1 1 0 1 0 0 1 0 /1 1 0 0 1 1 1 0 /1 1 0 0 0 1 1 0 /1 0 0 0 0 0 1 1 0 /0 1 1 1 1 1 0 1'
' 1 /1 0 1 1 1 1 1 1 0 /0 1 0 1 0 1 1 1 0 /1 1 1 1 1 1 1 1 0 /1 1 1 0 1 1 0 1 1 /1 0 1 1 0 1 1 1 1 /0 0 1 1 1 0'
' 0 0 0 /',
),
(
'pzprv3/hashikake/13/13/2 . 4 . 3 . 1 . 2 . . 1 . /. . . . . . . . . 3 . . 1 /. . . . 2 . 3 . 2 . . . . /2 . 3 '
'. . 2 . . . 3 . 1 . /. . . . 2 . 5 . 3 . 4 . . /1 . 5 . . 2 . 1 . . . 2 . /. . . . . . 2 . 2 . 4 . 2 /. . 4 . '
'4 . . 3 . . . 3 . /. . . . . . . . . . . . . /2 . 2 . 3 . . . 3 . 2 . 3 /. . . . . 2 . 4 . 4 . 3 . /. . 1 . 2 '
'. . . . . . . . /3 . . . . 3 . 1 . 2 . . 2 /0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 '
'0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 /0'
' 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0'
' 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0'
' 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0'
' 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0'
' 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 0 /',
'pzprv3/hashikake/13/13/2 . 4 . 3 . 1 . 2 . . 1 . /. . . . . . . . . 3 . . 1 /. . . . 2 . 3 . 2 . . . . /2 . 3 '
'. . 2 . . . 3 . 1 . /. . . . 2 . 5 . 3 . 4 . . /1 . 5 . . 2 . 1 . . . 2 . /. . . . . . 2 . 2 . 4 . 2 /. . 4 . '
'4 . . 3 . . . 3 . /. . . . . . . . . . . . . /2 . 2 . 3 . . . 3 . 2 . 3 /. . . . . 2 . 4 . 4 . 3 . /. . 1 . 2 '
'. . . . . . . . /3 . . . . 3 . 1 . 2 . . 2 /1 1 2 2 0 0 0 0 1 1 1 0 /0 0 0 0 0 0 0 0 0 1 1 1 /0 0 0 0 1 1 1 1 '
'0 0 0 0 /0 0 1 1 1 1 1 1 1 0 0 0 /0 0 0 0 2 2 1 1 2 2 0 0 /0 0 2 2 2 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 1 1 0 0 /0'
' 0 1 1 2 2 2 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 0 0 0 /1 1 0 0 1 1 1 1 1 1 0 0 /0 0 0 0 0 1 1 2 2 1 1 0 /0 0 1 1 0 0'
' 0 0 0 0 0 0 /2 2 2 2 2 0 0 0 0 1 1 1 /1 0 1 0 1 0 1 0 1 0 0 0 0 /1 0 1 0 1 0 1 0 1 2 0 0 0 /1 0 1 0 0 0 0 0 0'
' 2 0 0 0 /1 0 1 0 0 0 0 0 0 0 0 1 0 /1 0 1 0 0 0 2 0 0 0 2 1 0 /0 0 2 0 0 0 2 1 0 0 2 1 0 /0 0 2 0 0 0 0 1 1 0'
' 1 1 2 /0 0 1 0 1 0 0 0 1 0 1 2 2 /0 0 1 0 1 0 0 0 1 0 1 2 2 /1 0 0 0 1 0 0 0 0 0 0 2 1 /1 0 0 0 1 1 0 1 0 1 0'
' 0 1 /1 0 0 0 0 1 0 1 0 1 0 0 1 /',
),
(
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'. . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . .'
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'. . * . . . . . . /. . . . . . . . . . /. . * . . . . * . . /. . . . * . . . . * /. * . . . . * . . . /. . . *'
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),
(
'pzprv3/skyscrapers/5/5/. 4 2 1 2 3 . /3 . . . . . 3 /2 . . . . . 4 /3 . . . . . 1 /2 . . . . . 2 /1 . . . . . '
'2 /. 1 4 3 2 2 . /',
'pzprv3/skyscrapers/5/5/. 4 2 1 2 3 . /3 2 3 5 4 1 3 /2 1 5 4 3 2 4 /3 3 4 2 1 5 1 /2 4 2 1 5 3 2 /1 5 1 3 2 4 '
'2 /. 1 4 3 2 2 . /',
),
(
'pzprv3.1/slither/6/6/. . . . 0 . /3 3 . . 1 . /. . 1 2 . . /. . 2 0 . . /. 1 . . 1 1 /. 2 . . . . /0 0 0 0 0 0'
' /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0'
' /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0'
' /0 0 0 0 0 0 /0 0 0 0 0 0 /',
'pzprv3.1/slither/6/6/. . . . 0 . /3 3 . . 1 . /. . 1 2 . . /. . 2 0 . . /. 1 . . 1 1 /. 2 . . . . /0 0 0 0 0 0'
' /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /1 0 0 1 0 0 0 /1 1 1 1 0 1 1 /0 0 1 0 1 1 1'
' /0 0 1 0 0 0 1 /0 0 0 1 0 0 1 /1 0 0 0 1 1 1 /1 1 1 0 0 0 /0 1 0 0 0 1 /1 0 0 1 0 0 /0 0 0 0 1 0 /0 0 1 0 0 0'
' /1 1 1 0 1 0 /1 1 1 1 0 1 /',
),
(
'pzprv3/starbattle/10/10/2/10/0 0 0 0 0 1 1 2 2 2 /0 0 0 0 0 1 1 1 2 2 /0 0 0 0 0 1 1 1 1 1 /3 3 3 0 4 4 1 1 1 '
'5 /3 6 6 6 4 4 1 1 5 5 /6 6 6 6 4 4 1 5 5 5 /6 6 6 6 6 7 1 5 5 5 /6 6 6 6 6 7 1 5 5 7 /8 8 8 7 7 7 7 7 7 7 /7 '
'7 7 7 9 9 9 9 9 9 /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . .'
' . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . . . . . /. . . . . . '
'. . . . /',
'pzprv3/starbattle/10/10/2/10/0 0 0 0 0 1 1 2 2 2 /0 0 0 0 0 1 1 1 2 2 /0 0 0 0 0 1 1 1 1 1 /3 3 3 0 4 4 1 1 1 '
'5 /3 6 6 6 4 4 1 1 5 5 /6 6 6 6 4 4 1 5 5 5 /6 6 6 6 6 7 1 5 5 5 /6 6 6 6 6 7 1 5 5 7 /8 8 8 7 7 7 7 7 7 7 /7 '
'7 7 7 9 9 9 9 9 9 /+ + + + + + + # + # /+ # + # + + + + + + /+ + + + + + # + # + /+ + # + # + + + + + /# + + +'
' + + + + # + /+ + + # + # + + + + /+ # + + + + + # + + /+ + + + + # + + + # /# + # + + + + + + + /+ + + + # + '
'# + + + /',
),
(
'pzprv3/sudoku/9/5 3 . . 7 . . . . /6 . . 1 9 5 . . . /. 9 8 . . . . 6 . /. . . . 6 . . . 3 /4 . . 8 . 3 . . 1 '
'/7 . . . 2 . . . 6 /. 6 . . . . 2 8 . /. . . 4 1 9 . . 5 /. . . . 8 . . 7 9 /. . . . . . . . . /. . . . . . . '
'. . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . '
'. . . . /. . . . . . . . . /',
'pzprv3/sudoku/9/5 3 . . 7 . . . . /6 . . 1 9 5 . . . /. 9 8 . . . . 6 . /. . . . 6 . . . 3 /4 . . 8 . 3 . . 1 '
'/7 . . . 2 . . . 6 /. 6 . . . . 2 8 . /. . . 4 1 9 . . 5 /. . . . 8 . . 7 9 /. . 4 6 . 8 9 1 2 /. 7 2 . . . 3 '
'4 8 /1 . . 3 4 2 5 . 7 /8 5 9 7 . 1 4 2 . /. 2 6 . 5 . 7 9 . /. 1 3 9 . 4 8 5 . /9 . 1 5 3 7 . . 4 /2 8 7 . . '
'. 6 3 . /3 4 5 2 . 6 1 . . /',
),
(
'pzprv3/tapa/10/10/. . . 1,1 . . . . . . /1 . . . . . 2,2 . . 2 /. . . . . . . . . . /. . . 1 . . . . . . /. . '
'1,1 . . 2 . 2,2 . . /. . 4 . 4 . . 3 . . /. . . . . . 3 . . . /. . . . . . . . . . /4 . . 4 . . . . . 3 /. . .'
' . . . 3 . . . /',
'pzprv3/tapa/10/10/+ + + 1,1 + + + + + + /1 + # + # # 2,2 # + 2 /+ # # + + # + # # # /# # + 1 + # # # + # /# + '
'1,1 + + 2 + 2,2 # # /# + 4 # 4 + + 3 # + /# # # # # # 3 + # + /+ # + + + # # + # # /4 # + 4 # + # # # 3 /# # #'
' # # + 3 # + + /',
),
(
'pzprv3/tapaloop/6/6/3 . . . 2,2 . /. . . . . . /. . 1,3,3 . . . /. . . . . . /. . . . . . /2 . . . . 2 /0 0 0 '
'0 0 /0 0 0 0 0 /0 0 0 0 0 /0 0 0 0 0 /0 0 0 0 0 /0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0'
' /0 0 0 0 0 0 /',
'pzprv3/tapaloop/6/6/3 . . . 2,2 . /. . . . . . /. . 1,3,3 . . . /. . . . . . /. . . . . . /2 . . . . 2 /0 1 1 '
'0 0 /1 0 0 0 1 /1 0 0 0 0 /0 1 0 1 0 /0 1 0 1 1 /0 1 1 0 0 /0 1 0 1 0 0 /1 0 0 1 1 1 /0 1 0 1 1 1 /0 0 1 0 0 1'
' /0 1 0 1 0 0 /',
),
(
'pzprv3/tentaisho/7/7/.....1......1/1............/............./.........1.../....1......../............./.....'
'......../............./..1.........1/........1..../..1........../1............/.........1.../0 0 0 0 0 0 /0 0 '
'0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 '
'0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0'
' 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /',
'pzprv3/tentaisho/7/7/.....1......1/1............/............./.........1.../....1......../............./.....'
'......../............./..1.........1/........1..../..1........../1............/.........1.../1 0 0 0 1 1 /1 0 '
'0 1 0 0 /0 1 1 0 0 1 /1 0 0 1 1 1 /0 0 1 0 0 1 /1 1 1 0 0 1 /1 0 1 1 0 1 /0 1 1 1 1 0 1 /1 1 0 1 0 0 1 /0 1 0 '
'1 0 1 0 /0 1 1 1 1 0 0 /1 1 0 0 0 0 0 /0 1 0 0 1 1 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0'
' 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /',
),
(
'pzprv3/tents/8/8/. 2 1 3 1 1 2 0 2 /2 . . . . . . . . /0 . . 1 . . 1 . 1 /3 . . . . 1 . . . /1 . 1 1 . . . . .'
' /0 1 . . . . . . . /2 . . . 1 . . . . /1 . . . . . 1 . . /3 . 1 . 1 . . 1 . /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 '
'0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0'
' 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /',
'pzprv3/tents/8/8/. 2 1 3 1 1 2 0 2 /2 . . A . . A . . /0 . . 1 . . 1 . 1 /3 . A . . 1 A . A /1 . 1 1 A . . . .'
' /0 1 . . . . . . . /2 A . A 1 . . . . /1 . . . . A 1 . . /3 A 1 A 1 . . 1 A /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 '
'0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0'
' 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /',
),
(
'pzprv3/yajilin/9/9/. . . . . . . . . /. . . . 4,1 . 2,1 . . /. . . 2,2 . . . 2,2 . /. . . . . . . . . /. . . .'
' . . . . . /. . . . . . . . . /. 4,0 . . . 1,2 . . . /. . 1,3 . 3,2 . . . . /. . . . . . . . . /. . . . . . . '
'. . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . . . . . /. . . . . '
'. . . . /. . . . . . . . . /. . . . . . . . . /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 '
'0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0'
' 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 0 /0 0 0 0 0 0 0 0 '
'0 /0 0 0 0 0 0 0 0 0 /',
'pzprv3/yajilin/9/9/. . . . . . . . . /. . . . 4,1 . 2,1 . . /. . . 2,2 . . . 2,2 . /. . . . . . . . . /. . . .'
' . . . . . /. . . . . . . . . /. 4,0 . . . 1,2 . . . /. . 1,3 . 3,2 . . . . /. . . . . . . . . /. . # . . . . '
'. # /. . . . . # . . . /. . # . . . # . . /# . . . . . . # . /. . # . . # . . . /. . . # . . . . . /. . . . . '
'. . . . /. # . # . . . # . /. . . . . . . . . /1 0 0 1 1 1 1 0 /0 1 1 0 0 0 0 1 /1 0 0 0 1 0 0 0 /0 1 1 0 0 1 '
'0 0 /1 0 0 1 0 0 1 0 /0 1 0 0 1 1 0 0 /0 0 1 1 0 0 1 0 /0 0 0 0 0 1 0 0 /1 1 1 1 1 0 1 1 /1 1 0 1 0 0 0 1 0 /1'
' 0 0 0 0 0 0 0 1 /0 1 0 0 1 1 0 0 1 /0 0 0 1 1 0 1 0 1 /1 1 0 0 0 0 0 1 1 /1 0 1 0 1 0 1 1 1 /1 0 0 0 0 0 0 0 '
'1 /1 0 0 0 0 1 1 0 1 /',
),
(
'pzprv3/yinyang/7/7/. . . . . . . /. . 1 . 2 . . /. . . 2 . 1 1 /. 1 . . 1 2 . /. 2 1 . 1 . . /. . . 2 . . 2 /1'
' 2 . . . . . /. . . . . . . /. . . . . . . /. . . . . . . /. . . . . . . /. . . . . . . /. . . . . . . /. . . '
'. . . . /',
'pzprv3/yinyang/7/7/. . . . . . . /. . 1 . 2 . . /. . . 2 . 1 1 /. 1 . . 1 2 . /. 2 1 . 1 . . /. . . 2 . . 2 /1'
' 2 . . . . . /1 1 1 1 1 1 1 /1 2 . 2 . 2 1 /1 2 2 . 1 . . /1 . 1 2 . . 1 /1 . . 2 . 2 2 /1 2 1 . 1 1 . /. . 2 '
'2 2 2 2 /',
),
]
def get_demo(puzzle_type):
return next(demo for demo in DEMOS if _get_puzzle_type(demo[0]) == puzzle_type)
def puzzle_list():
return [{'type': puzzle[0], 'name': puzzle[1], 'demo': get_demo(puzzle[0])[0]} for puzzle in PUZZLES]
def solve(pzprv3: str, different_from: Optional[str] = None):
return next(puzzle[2] for puzzle in PUZZLES if puzzle[0] == _get_puzzle_type(pzprv3))(pzprv3).solve(different_from)
def _get_puzzle_type(pzprv3):
matched = match('pzprv3[^/]*/([^/]+)/.*', pzprv3)
return matched.group(1)
| 78.984749
| 120
| 0.309125
| 7,910
| 36,254
| 1.414791
| 0.01871
| 0.567242
| 0.742829
| 0.924672
| 0.734251
| 0.72594
| 0.7204
| 0.715039
| 0.712358
| 0.706192
| 0
| 0.375688
| 0.439069
| 36,254
| 458
| 121
| 79.157205
| 0.174616
| 0
| 0
| 0.337808
| 0
| 0.581655
| 0.810669
| 0.037513
| 0
| 0
| 0
| 0
| 0
| 1
| 0.008949
| false
| 0
| 0.0783
| 0.006711
| 0.096197
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 13
|
a136437ed6e8a13413a78016dc26f6af737467c4
| 106
|
py
|
Python
|
rulr/Utils/__init__.py
|
elliotwoods/Rulr-2.0
|
125503a8d58c4fcfbec9a32ca4a2cc7d9f3ec825
|
[
"MIT"
] | 6
|
2019-02-15T17:17:00.000Z
|
2020-08-26T17:02:44.000Z
|
rulr/Utils/__init__.py
|
elliotwoods/Rulr-2.0
|
125503a8d58c4fcfbec9a32ca4a2cc7d9f3ec825
|
[
"MIT"
] | 1
|
2022-01-27T16:04:36.000Z
|
2022-01-27T16:04:36.000Z
|
rulr/Utils/__init__.py
|
elliotwoods/Rulr-2.0
|
125503a8d58c4fcfbec9a32ca4a2cc7d9f3ec825
|
[
"MIT"
] | null | null | null |
from rulr.Utils._Viewable import *
from rulr.Utils._Functions import *
from rulr.Utils._Exports import *
| 35.333333
| 36
| 0.792453
| 15
| 106
| 5.4
| 0.466667
| 0.296296
| 0.481481
| 0.469136
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122642
| 106
| 3
| 37
| 35.333333
| 0.870968
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
a18b40a46d5448910a93f04e8775111a842a74bf
| 18,685
|
py
|
Python
|
Nonogram/tests/test_runner.py
|
alexpdev/MyGames
|
3f99fc0dc22037c83acb743e048e158e373157e9
|
[
"Apache-2.0"
] | 1
|
2019-12-13T17:05:32.000Z
|
2019-12-13T17:05:32.000Z
|
Nonogram/tests/test_runner.py
|
alexpdev/MyGames
|
3f99fc0dc22037c83acb743e048e158e373157e9
|
[
"Apache-2.0"
] | 1
|
2019-02-28T06:51:47.000Z
|
2019-03-03T02:46:37.000Z
|
Nonogram/tests/test_runner.py
|
alexpdev/MyGames
|
3f99fc0dc22037c83acb743e048e158e373157e9
|
[
"Apache-2.0"
] | null | null | null |
from solver.nonogram import Nonogram
class TestExamples:
def run_all_tests(self):
self.test_example_0()
self.test_example_1()
self.test_example_2()
self.test_example_3()
self.test_example_4()
self.test_example_5()
def test_example_0(self):
clues = (((3, 1), (4,), (1, 1, 1), (1,2), (1,1,1)),
((5,), (2,), (3,), (2, ), (1,3)))
ans = ((1, 1, 1, 1, 1),
(1, 1, 0, 0, 0),
(1, 1, 1, 0, 1),
(0, 1, 0, 1, 0),
(1, 0, 1, 1, 1))
gram = Nonogram(clues)
print(gram.solve())
assert gram.solve() == ans
def test_example_1(self):
clues = (((1, 1), (4,), (1, 1, 1), (3,), (1,)),
((1,), (2,), (3,), (2, 1), (4,)))
ans = ((0, 0, 1, 0, 0),
(1, 1, 0, 0, 0),
(0, 1, 1, 1, 0),
(1, 1, 0, 1, 0),
(0, 1, 1, 1, 1))
gram = Nonogram(clues)
print(gram.solve())
assert gram.solve() == ans
def test_example_2(self):
clues = (((1,), (3,), (1,), (3, 1), (3, 1)),
((3,), (2,), (2, 2), (1,), (1, 2)))
ans = ((0, 0, 1, 1, 1),
(0, 0, 0, 1, 1),
(1, 1, 0, 1, 1),
(0, 1, 0, 0, 0),
(0, 1, 0, 1, 1))
gram = Nonogram(clues)
print(gram.solve())
assert gram.solve() == ans
def test_example_3(self):
clues = (((3,), (2,), (1, 1), (2,), (4,)),
((2,), (3, 1), (1, 2), (3,), (1,)))
ans = ((1, 1, 0, 0, 0),
(1, 1, 1, 0, 1),
(1, 0, 0, 1, 1),
(0, 0, 1, 1, 1),
(0, 0, 0, 0, 1))
gram = Nonogram(clues)
print(gram.solve())
assert gram.solve() == ans
def test_example_3(self):
clues = (((3,), (4,), (3,), (2,), (1,)),
((3,), (3,), (3,), (2,), (2,)))
ans = ((0, 0, 1, 1, 1),
(0, 1, 1, 1, 0),
(1, 1, 1, 0, 0),
(1, 1, 0, 0, 0),
(1, 1, 0, 0, 0))
gram = Nonogram(clues)
print(gram.solve())
assert gram.solve() == ans
def test_example_4(self):
clues = (((7, 4, 4, 4), (3, 5, 1, 8), (2, 1, 2, 3), (2, 4, 1, 2, 1), (1, 3, 3, 1, 1), (2, 13, 1), (3, 1, 3, 5, 1, 2), (2, 7, 7, 2), (3, 1, 4, 1, 9), (3, 5, 2, 3, 2), (2, 1, 4, 1, 3, 1), (2, 1, 7, 3, 1), (8, 1, 3, 2), (1, 1, 8, 1, 1, 3), (13, 2, 1, 1), (6, 12, 2), (3, 11, 2), (1, 4, 10, 2), (11, 3), (5, 5, 2, 1, 1), (2, 1, 4, 3, 1, 3), (6, 4, 1, 3), (5, 3, 1, 4), (5, 1, 1, 1, 1, 4), (4, 3, 3)), ((3, 7, 1, 4), (3, 8, 3, 5), (2, 1, 2, 2, 5), (1, 2, 5, 4), (1, 4, 4), (2, 1, 3, 7, 1), (2, 3, 7, 1, 1), (1, 2, 8, 3), (3, 11, 3, 1), (2, 12, 4), (1, 1, 4, 13), (2, 1, 1, 8, 1), (1, 2, 9, 1), (1, 3, 8, 2), (1, 3, 6, 1, 1), (6, 5), (1, 9, 1, 6), (11, 5), (2, 18), (2, 1, 2, 2, 8), (1, 1, 9, 1, 3), (2, 1, 3, 1, 2), (5, 3, 1, 1, 2, 2), (3, 1, 1, 2, 4, 2), (6, 8, 2)))
args = (25, 25)
gram = Nonogram(clues,*args)
output = gram.solve()
print(output)
assert output is not None
def test_example_5(self):
clues = (((3, 1, 3, 1, 3), (2, 1, 1, 7, 1, 2), (3, 2, 1, 2, 1), (2, 1, 2, 1, 1), (1, 2, 2), (3, 3, 3, 1, 1), (4, 6, 1, 1, 1), (8, 3, 2, 1, 2), (11, 1, 1), (1, 2, 7, 1, 2, 1, 1), (1, 3, 2, 1, 1, 3, 1, 1), (2, 6, 5, 2), (2, 3, 4, 1, 3), (3, 2, 2, 1, 1, 1, 3), (3, 1, 2, 1, 6, 1, 1), (8, 5, 2, 1, 1), (6, 1, 4, 2, 2), (8, 4, 1, 3, 1), (2, 15, 1), (2, 4, 9), (3, 10), (1, 5, 2, 2, 2), (7, 5, 2), (2, 1, 4, 2, 1, 1), (2, 8, 2, 1)), ((3, 6), (2, 5, 7), (2, 6, 5, 1), (1, 2, 4, 5, 2), (1, 2, 1, 5, 2), (4, 6, 3, 1), (8, 5, 1, 1), (3, 4, 5, 1, 4), (1, 2, 5, 8), (1, 9, 1, 2, 2, 1), (1, 6, 1, 1, 3, 4), (2, 1, 1, 2, 1, 1, 3, 4), (3, 1, 2, 2, 5, 3), (2, 2, 4, 6, 2), (1, 1, 1, 1, 1, 6, 3, 1), (1, 1, 1, 1, 2, 4, 1), (2, 3, 7, 3, 2), (1, 1, 9), (1, 1, 2, 1, 8, 1), (2, 1, 1, 2, 4, 2), (1, 5), (2, 1, 4), (1, 1, 1, 2, 2, 1, 1), (3, 3, 3), (2, 6, 1, 1, 4)))
args = (25, 25)
gram = Nonogram(clues,*args)
output = gram.solve()
print(output)
assert output is not None
tests = [
[[(((1, 1), (4,), (1, 1, 1), (3,), (1,)), ((1,), (2,), (3,), (2, 1), (4,))) ,5 ,5],((0, 0, 1, 0, 0), (1, 1, 0, 0, 0), (0, 1, 1, 1, 0), (1, 1, 0, 1, 0), (0, 1, 1, 1, 1))],
[[(((3,), (4,), (2, 2, 2), (2, 4, 2), (6,), (3,)), ((4,), (6,), (2, 2), (2, 2), (2,), (2,), (2,), (2,), (), (2,), (2,))) ,6 ,11],((0, 1, 1, 1, 1, 0), (1, 1, 1, 1, 1, 1), (1, 1, 0, 0, 1, 1), (1, 1, 0, 0, 1, 1), (0, 0, 0, 1, 1, 0), (0, 0, 0, 1, 1, 0), (0, 0, 1, 1, 0, 0), (0, 0, 1, 1, 0, 0), (0, 0, 0, 0, 0, 0), (0, 0, 1, 1, 0, 0), (0, 0, 1, 1, 0, 0))],
[[(((1, 1, 3), (3, 2, 1, 3), (2, 2), (3, 6, 3), (3, 8, 2), (15,), (8, 5), (15,), (7, 1, 4, 2), (7, 9), (6, 4, 2), (2, 1, 5, 4), (6, 4), (2, 6), (2, 5), (5, 2, 1), (6, 1), (3, 1), (1, 4, 2, 1), (2, 2, 2, 2)), ((2, 1, 1), (3, 4, 2), (4, 4, 2), (8, 3), (7, 2, 2), (7, 5), (9, 4), (8, 2, 3), (7, 1, 1), (6, 2), (5, 3), (3, 6, 3), (2, 9, 2), (1, 8), (1, 6, 1), (3, 1, 6), (5, 5), (1, 3, 8), (1, 2, 6, 1), (1, 1, 1, 3, 2))) ,20 ,20],((1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1), (0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1), (1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0), (0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0), (0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1), (0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0), (0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0), (0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0), (0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0), (0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0), (0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1), (1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1), (1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0), (1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0), (0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0), (0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0), (0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0), (0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1), (0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1))],
[[(((2, 1, 3, 3, 7), (2, 2, 7), (5, 1, 1, 1, 8), (6, 1, 1, 3, 4), (6, 1, 1, 3, 1, 1), (8, 2, 1, 4), (1, 6, 1, 2, 1), (1, 6, 1, 3, 4), (1, 2, 2, 1, 4), (1, 1, 6, 4, 3, 4), (1, 3, 1, 7, 7), (3, 6, 3, 3), (2, 3, 3, 5), (1, 3, 2), (2, 1, 1, 1, 2), (2, 5, 1, 2), (1, 13), (1, 2, 11), (1, 2, 4, 6, 1), (2, 1, 3, 5, 3), (5, 5, 2, 1, 2), (6, 3, 5), (1, 1, 4, 3, 1), (3, 1, 6, 3, 1), (4, 3, 6, 2, 2)), ((5, 2, 2, 3), (6, 3, 2), (5, 2, 2), (1, 4, 4, 4, 1), (7, 1, 1, 6), (2, 5, 2, 2, 1), (1, 1, 5, 2, 3, 2), (1, 5, 6, 3, 1), (3, 5, 2, 1), (1, 2, 1, 2, 1, 3, 1, 2), (1, 1, 1, 3, 4, 2), (1, 3, 2, 9), (4, 11), (3, 3, 1, 3, 5), (1, 12, 3), (5, 6), (1, 5, 2, 5), (3, 1, 1, 4), (5, 1, 2, 7), (4, 4, 3, 4), (3, 3, 2, 4), (4, 8, 2, 5), (11, 1, 1, 1), (4, 1, 4, 1, 2, 3), (2, 8, 3, 1))) ,25 ,25],((1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1), (1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1), (0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1), (1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1), (0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0), (1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1), (1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1), (1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1), (0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0), (1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1), (1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1), (1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0), (0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0), (0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0), (1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0), (1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0), (1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1), (1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1), (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0), (1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), (1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1))],
[[(((4, 2, 2), (2, 2, 1, 3, 1), (2, 1, 1, 1), (1, 2, 1, 1, 1, 1, 1), (2, 1, 1, 1, 1), (3, 1, 1, 3, 1), (1, 3, 1, 1, 1), (2, 2, 3), (1, 1, 1, 1, 2), (4, 1, 1, 2, 1), (1, 1, 3, 2), (2, 1, 2, 2, 2), (1, 2, 4, 1), (1, 2, 1, 1), (1, 6, 2)), ((3, 4), (2, 2, 3, 1), (2, 3, 2), (1, 1, 1, 1, 2), (1, 2, 4, 2), (2, 2, 2), (6, 1, 1, 1), (1, 1, 3, 1), (2, 3, 4, 1), (1, 1, 1, 1, 1, 1), (1, 1, 1, 3, 1, 2), (1, 3, 3), (1, 1, 1, 2, 1), (1, 1, 1, 2, 1, 2), (2, 3, 2, 1))) ,15 ,15],((0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1), (0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0), (1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0), (1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0), (1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0), (1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1), (0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1), (0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1), (1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1), (1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1), (0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1), (0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0), (0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0), (1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1), (1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1))],
[[(((2, 2), (2,), (3,), (1,), (3,)), ((1,), (1,), (4,), (3, 1), (1, 1, 1))) ,5 ,5],((1, 0, 0, 0, 0), (1, 0, 0, 0, 0), (0, 1, 1, 1, 1), (1, 1, 1, 0, 1), (1, 0, 1, 0, 1))],
[[(((1, 1), (4, 1), (1, 1, 1, 1), (2, 2), (3, 2, 1), (1, 1, 2, 1, 1), (2, 1), (1, 2, 2, 2), (3, 2, 2), (1, 1, 1), (1, 1, 1, 1, 1), (3, 2, 1), (2, 2), (1, 3, 1), (2, 2)), ((3, 1, 2, 2, 2), (2, 2, 1, 1, 1), (2, 2, 6), (1, 1, 2, 2), (1, 1, 1, 3, 1), (1, 1, 2, 1, 1), (2, 1, 2, 1), (3, 3), (1, 1, 5), (1, 2), (3,))) ,15 ,11],((0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1), (1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1), (0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0), (0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0), (1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0), (0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0), (0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1), (0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1), (0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0), (0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0), (0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0))],
[[(((3, 3, 1, 3), (3, 3, 1, 1, 4), (6, 1, 1, 2, 3), (4, 1, 1, 8), (4, 2, 7, 2), (1, 2, 3, 1), (4, 5), (3, 3, 4, 1, 1), (1, 1, 1, 1, 7), (4, 2, 1, 4), (1, 4, 3, 4), (1, 1, 1, 1, 5, 1), (6, 2, 6, 4), (5, 1, 3, 1, 4), (1, 1, 1, 5, 1, 5), (4, 8, 1, 1), (6, 9), (4, 1, 1, 6), (5, 2, 5), (9, 2, 1), (10, 2, 4, 1), (5, 3, 3, 3, 1), (5, 4, 4, 1), (4, 8, 2, 1), (5, 8, 1, 1, 1)), ((2, 11), (3, 10), (6, 11), (3, 2, 10), (4, 1, 1, 5, 1), (5, 2, 2, 2, 2), (3, 1, 4, 3, 1), (1, 1, 2, 7), (4, 2, 6), (1, 2, 1, 5), (2, 1, 1, 2, 2), (1, 1, 5, 4, 4), (1, 4, 1, 4, 4), (1, 1, 4, 2, 11), (1, 11, 3), (2, 1, 9), (1, 1, 8, 4), (2, 5, 2, 5, 1), (6, 1, 2, 1), (7, 1, 1, 1, 1), (3, 3, 1, 1, 3), (1, 3, 4, 4, 2, 2), (4, 7, 1, 1), (5, 3, 3, 1, 1), (5, 1, 2, 1, 2))) ,25 ,25],((1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1), (1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0), (1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0), (1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1), (0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1), (0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1), (0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1), (0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0), (0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0), (1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1), (0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0), (0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0), (0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0), (0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1), (1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0), (1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0), (1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1))],
[[(((5, 5), (4, 6), (1, 3, 2, 3), (4, 6), (5, 3, 1), (4, 3, 4), (4, 5, 3), (1, 4, 5), (1, 2, 1), (3, 3, 3, 1), (1, 1, 9), (2, 1, 6), (7, 3), (3, 9, 1), (3, 4, 3, 1)), ((3, 3, 2), (4, 1, 1, 2), (4, 2, 3), (7, 1), (2, 2, 4), (4, 2, 3), (3, 1, 5, 3), (1, 1, 4, 2, 3), (5, 5), (3, 2, 2, 2), (4, 8), (2, 1, 1, 8), (4, 3, 5), (8, 2), (3, 6, 2))) ,15 ,15],((0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1), (0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1), (0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1), (1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0), (1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1), (1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1), (1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1), (1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1), (0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0), (0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1), (1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1), (1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1), (1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0), (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0), (1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1))],
[[(((3, 3), (3, 2), (4, 4), (9,), (3, 3)), ((1,), (1,), (2,), (3,), (4,), (3,), (3,), (1, 1), (1, 3), (5,), (4,), (2,))) ,5 ,12],((1, 0, 0, 0, 0), (1, 0, 0, 0, 0), (1, 1, 0, 0, 0), (0, 1, 1, 1, 0), (0, 1, 1, 1, 1), (0, 0, 1, 1, 1), (0, 0, 1, 1, 1), (1, 0, 0, 1, 0), (1, 0, 1, 1, 1), (1, 1, 1, 1, 1), (0, 1, 1, 1, 1), (0, 0, 1, 1, 0))],
[[(((3, 1), (2,), (2,), (1, 1), (3,)), ((4,), (3,), (1, 1), (1,), (1, 2))) ,5 ,5],((1, 1, 1, 1, 0), (1, 1, 1, 0, 0), (1, 0, 0, 0, 1), (0, 0, 0, 0, 1), (1, 0, 0, 1, 1))],
[[(((3,), (1, 1), (2,), (3,), (2, 1)), ((1, 1), (1, 1), (4,), (3,), (1, 1))) ,5 ,5],((1, 0, 0, 0, 1), (1, 0, 0, 0, 1), (1, 1, 1, 1, 0), (0, 0, 1, 1, 1), (0, 1, 0, 1, 0))],
[[(((1, 1), (3, 1), (3,), (3,), (1,)), ((3,), (2,), (3,), (2,), (2, 1))) ,5 ,5],((1, 1, 1, 0, 0), (0, 1, 1, 0, 0), (0, 1, 1, 1, 0), (0, 0, 0, 1, 1), (1, 1, 0, 1, 0))],
[[(((4,), (2, 4), (2, 1, 4), (1, 1, 1, 1), (1, 1, 1, 1, 2, 1), (1, 1, 1, 1, 1, 1), (1, 1, 1, 1, 1, 1), (1, 1, 1, 2, 2, 1), (1, 1, 3, 1), (1, 1, 5, 1), (1, 4, 5), (1, 5, 1), (5, 4, 1), (5, 2), (6,)), ((10,), (1, 1), (9, 1), (1, 1, 1), (8, 1, 2), (1, 1, 2, 1), (1, 2, 1, 1), (1, 4, 1, 1, 1), (2, 1, 1, 1, 2), (1, 1, 2, 1), (1, 2, 1, 2, 1, 1), (2, 1, 2, 1, 1, 1), (1, 1, 1, 1), (1, 1, 2), (12,))) ,15 ,15],((0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0), (0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0), (0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0), (0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0), (0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0), (1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0), (1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0), (1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1), (0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1), (0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1), (0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1), (0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1), (0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1), (0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0))],
[[(((2,), (3,), (4,), (1, 1), (1, 1)), ((2,), (3, 1), (3,), (1, 1), (2,))) ,5 ,5], ((1, 1, 0, 0, 0), (1, 1, 1, 0, 1), (0, 1, 1, 1, 0), (0, 0, 1, 0, 1), (0, 0, 1, 1, 0))],
[[(((2, 1, 1), (2, 1, 1, 1, 1), (1, 1, 3, 2), (1, 2, 2), (2, 1, 1), (4, 1, 2, 1), (4, 1), (5,), (5, 1), (4, 1, 2, 2), (2, 2, 1), (2, 1, 1, 1), (1, 2, 1, 2), (1, 1, 1, 2), (2, 1)), ((1, 1), (1, 1), (1, 1), (2, 2), (1, 1), (2, 1, 1, 2), (2, 1, 5, 2, 1), (1, 1, 1, 2, 2, 1), (1, 3, 1, 1, 1, 1), (2, 1, 3, 2), (2, 1, 2, 3), (1, 2, 1, 1, 2), (1, 2, 1, 1, 1), (1, 1, 2, 1), (2, 2))) ,15 ,15],((0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0), (0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0), (0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0), (0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0), (0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0), (0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1), (1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1), (1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0), (0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1), (0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0), (0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0), (1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0), (0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0), (0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0))]]
class TestVariableSizeNanograms:
tests = tests
param = None
result = None
i = None
def test_all(self):
for i,test in enumerate(self.tests):
param, result = test
r = Nonogram(*param).solve()
assert r == result
string = f'{i}: {r} Should_Equal {result} '
string = string + ' Correct!' if r == result else string + ' Incorrect!'
print(string,"\n")
| 145.976563
| 2,705
| 0.316671
| 5,071
| 18,685
| 1.160915
| 0.011635
| 0.446407
| 0.403601
| 0.343129
| 0.817734
| 0.755563
| 0.70919
| 0.688636
| 0.666723
| 0.643961
| 0
| 0.384261
| 0.314477
| 18,685
| 127
| 2,706
| 147.125984
| 0.075338
| 0
| 0
| 0.333333
| 0
| 0
| 0.002837
| 0
| 0
| 0
| 0
| 0
| 0.074074
| 1
| 0.083333
| false
| 0
| 0.009259
| 0
| 0.148148
| 0.074074
| 0
| 0
| 1
| null | 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 12
|
a19104a74cc51b5a74835dabb8299923c6f9a77b
| 46,527
|
py
|
Python
|
sdk/python/pulumi_alicloud/eci/_inputs.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 42
|
2019-03-18T06:34:37.000Z
|
2022-03-24T07:08:57.000Z
|
sdk/python/pulumi_alicloud/eci/_inputs.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 152
|
2019-04-15T21:03:44.000Z
|
2022-03-29T18:00:57.000Z
|
sdk/python/pulumi_alicloud/eci/_inputs.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 3
|
2020-08-26T17:30:07.000Z
|
2021-07-05T01:37:45.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'ContainerGroupContainerArgs',
'ContainerGroupContainerEnvironmentVarArgs',
'ContainerGroupContainerPortArgs',
'ContainerGroupContainerVolumeMountArgs',
'ContainerGroupDnsConfigArgs',
'ContainerGroupDnsConfigOptionArgs',
'ContainerGroupEciSecurityContextArgs',
'ContainerGroupEciSecurityContextSysctlArgs',
'ContainerGroupHostAliasArgs',
'ContainerGroupInitContainerArgs',
'ContainerGroupInitContainerEnvironmentVarArgs',
'ContainerGroupInitContainerPortArgs',
'ContainerGroupInitContainerVolumeMountArgs',
'ContainerGroupVolumeArgs',
'ContainerGroupVolumeConfigFileVolumeConfigFileToPathArgs',
'ImageCacheImageRegistryCredentialArgs',
'OpenApiImageCacheImageRegistryCredentialArgs',
]
@pulumi.input_type
class ContainerGroupContainerArgs:
def __init__(__self__, *,
image: pulumi.Input[str],
name: pulumi.Input[str],
args: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
commands: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
cpu: Optional[pulumi.Input[float]] = None,
environment_vars: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerEnvironmentVarArgs']]]] = None,
gpu: Optional[pulumi.Input[int]] = None,
image_pull_policy: Optional[pulumi.Input[str]] = None,
memory: Optional[pulumi.Input[float]] = None,
ports: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerPortArgs']]]] = None,
ready: Optional[pulumi.Input[bool]] = None,
restart_count: Optional[pulumi.Input[int]] = None,
volume_mounts: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerVolumeMountArgs']]]] = None,
working_dir: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] image: The image of the container.
:param pulumi.Input[str] name: The name of the mounted volume.
:param pulumi.Input[Sequence[pulumi.Input[str]]] args: The arguments passed to the commands.
:param pulumi.Input[Sequence[pulumi.Input[str]]] commands: The commands run by the init container.
:param pulumi.Input[float] cpu: The amount of CPU resources allocated to the container.
:param pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerEnvironmentVarArgs']]] environment_vars: The structure of environmentVars.
:param pulumi.Input[int] gpu: The number GPUs.
:param pulumi.Input[str] image_pull_policy: The restart policy of the image.
:param pulumi.Input[float] memory: The amount of memory resources allocated to the container.
:param pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerPortArgs']]] ports: The structure of port.
:param pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerVolumeMountArgs']]] volume_mounts: The structure of volumeMounts.
:param pulumi.Input[str] working_dir: The working directory of the container.
"""
pulumi.set(__self__, "image", image)
pulumi.set(__self__, "name", name)
if args is not None:
pulumi.set(__self__, "args", args)
if commands is not None:
pulumi.set(__self__, "commands", commands)
if cpu is not None:
pulumi.set(__self__, "cpu", cpu)
if environment_vars is not None:
pulumi.set(__self__, "environment_vars", environment_vars)
if gpu is not None:
pulumi.set(__self__, "gpu", gpu)
if image_pull_policy is not None:
pulumi.set(__self__, "image_pull_policy", image_pull_policy)
if memory is not None:
pulumi.set(__self__, "memory", memory)
if ports is not None:
pulumi.set(__self__, "ports", ports)
if ready is not None:
pulumi.set(__self__, "ready", ready)
if restart_count is not None:
pulumi.set(__self__, "restart_count", restart_count)
if volume_mounts is not None:
pulumi.set(__self__, "volume_mounts", volume_mounts)
if working_dir is not None:
pulumi.set(__self__, "working_dir", working_dir)
@property
@pulumi.getter
def image(self) -> pulumi.Input[str]:
"""
The image of the container.
"""
return pulumi.get(self, "image")
@image.setter
def image(self, value: pulumi.Input[str]):
pulumi.set(self, "image", value)
@property
@pulumi.getter
def name(self) -> pulumi.Input[str]:
"""
The name of the mounted volume.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: pulumi.Input[str]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def args(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
The arguments passed to the commands.
"""
return pulumi.get(self, "args")
@args.setter
def args(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "args", value)
@property
@pulumi.getter
def commands(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
The commands run by the init container.
"""
return pulumi.get(self, "commands")
@commands.setter
def commands(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "commands", value)
@property
@pulumi.getter
def cpu(self) -> Optional[pulumi.Input[float]]:
"""
The amount of CPU resources allocated to the container.
"""
return pulumi.get(self, "cpu")
@cpu.setter
def cpu(self, value: Optional[pulumi.Input[float]]):
pulumi.set(self, "cpu", value)
@property
@pulumi.getter(name="environmentVars")
def environment_vars(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerEnvironmentVarArgs']]]]:
"""
The structure of environmentVars.
"""
return pulumi.get(self, "environment_vars")
@environment_vars.setter
def environment_vars(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerEnvironmentVarArgs']]]]):
pulumi.set(self, "environment_vars", value)
@property
@pulumi.getter
def gpu(self) -> Optional[pulumi.Input[int]]:
"""
The number GPUs.
"""
return pulumi.get(self, "gpu")
@gpu.setter
def gpu(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "gpu", value)
@property
@pulumi.getter(name="imagePullPolicy")
def image_pull_policy(self) -> Optional[pulumi.Input[str]]:
"""
The restart policy of the image.
"""
return pulumi.get(self, "image_pull_policy")
@image_pull_policy.setter
def image_pull_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "image_pull_policy", value)
@property
@pulumi.getter
def memory(self) -> Optional[pulumi.Input[float]]:
"""
The amount of memory resources allocated to the container.
"""
return pulumi.get(self, "memory")
@memory.setter
def memory(self, value: Optional[pulumi.Input[float]]):
pulumi.set(self, "memory", value)
@property
@pulumi.getter
def ports(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerPortArgs']]]]:
"""
The structure of port.
"""
return pulumi.get(self, "ports")
@ports.setter
def ports(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerPortArgs']]]]):
pulumi.set(self, "ports", value)
@property
@pulumi.getter
def ready(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "ready")
@ready.setter
def ready(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "ready", value)
@property
@pulumi.getter(name="restartCount")
def restart_count(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "restart_count")
@restart_count.setter
def restart_count(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "restart_count", value)
@property
@pulumi.getter(name="volumeMounts")
def volume_mounts(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerVolumeMountArgs']]]]:
"""
The structure of volumeMounts.
"""
return pulumi.get(self, "volume_mounts")
@volume_mounts.setter
def volume_mounts(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupContainerVolumeMountArgs']]]]):
pulumi.set(self, "volume_mounts", value)
@property
@pulumi.getter(name="workingDir")
def working_dir(self) -> Optional[pulumi.Input[str]]:
"""
The working directory of the container.
"""
return pulumi.get(self, "working_dir")
@working_dir.setter
def working_dir(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "working_dir", value)
@pulumi.input_type
class ContainerGroupContainerEnvironmentVarArgs:
def __init__(__self__, *,
key: Optional[pulumi.Input[str]] = None,
value: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] key: The name of the variable. The name can be 1 to 128 characters in length and can contain letters, digits, and underscores (_). It cannot start with a digit.
:param pulumi.Input[str] value: The value of the variable. The value can be 0 to 256 characters in length.
"""
if key is not None:
pulumi.set(__self__, "key", key)
if value is not None:
pulumi.set(__self__, "value", value)
@property
@pulumi.getter
def key(self) -> Optional[pulumi.Input[str]]:
"""
The name of the variable. The name can be 1 to 128 characters in length and can contain letters, digits, and underscores (_). It cannot start with a digit.
"""
return pulumi.get(self, "key")
@key.setter
def key(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key", value)
@property
@pulumi.getter
def value(self) -> Optional[pulumi.Input[str]]:
"""
The value of the variable. The value can be 0 to 256 characters in length.
"""
return pulumi.get(self, "value")
@value.setter
def value(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "value", value)
@pulumi.input_type
class ContainerGroupContainerPortArgs:
def __init__(__self__, *,
port: Optional[pulumi.Input[int]] = None,
protocol: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[int] port: The port number. Valid values: 1 to 65535.
:param pulumi.Input[str] protocol: Valid values: TCP and UDP.
"""
if port is not None:
pulumi.set(__self__, "port", port)
if protocol is not None:
pulumi.set(__self__, "protocol", protocol)
@property
@pulumi.getter
def port(self) -> Optional[pulumi.Input[int]]:
"""
The port number. Valid values: 1 to 65535.
"""
return pulumi.get(self, "port")
@port.setter
def port(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "port", value)
@property
@pulumi.getter
def protocol(self) -> Optional[pulumi.Input[str]]:
"""
Valid values: TCP and UDP.
"""
return pulumi.get(self, "protocol")
@protocol.setter
def protocol(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "protocol", value)
@pulumi.input_type
class ContainerGroupContainerVolumeMountArgs:
def __init__(__self__, *,
mount_path: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
read_only: Optional[pulumi.Input[bool]] = None):
"""
:param pulumi.Input[str] mount_path: The directory of the mounted volume. Data under this directory will be overwritten by the data in the volume.
:param pulumi.Input[str] name: The name of the mounted volume.
:param pulumi.Input[bool] read_only: Default to `false`.
"""
if mount_path is not None:
pulumi.set(__self__, "mount_path", mount_path)
if name is not None:
pulumi.set(__self__, "name", name)
if read_only is not None:
pulumi.set(__self__, "read_only", read_only)
@property
@pulumi.getter(name="mountPath")
def mount_path(self) -> Optional[pulumi.Input[str]]:
"""
The directory of the mounted volume. Data under this directory will be overwritten by the data in the volume.
"""
return pulumi.get(self, "mount_path")
@mount_path.setter
def mount_path(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "mount_path", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the mounted volume.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="readOnly")
def read_only(self) -> Optional[pulumi.Input[bool]]:
"""
Default to `false`.
"""
return pulumi.get(self, "read_only")
@read_only.setter
def read_only(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "read_only", value)
@pulumi.input_type
class ContainerGroupDnsConfigArgs:
def __init__(__self__, *,
name_servers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
options: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupDnsConfigOptionArgs']]]] = None,
searches: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
:param pulumi.Input[Sequence[pulumi.Input[str]]] name_servers: The list of DNS server IP addresses.
:param pulumi.Input[Sequence[pulumi.Input['ContainerGroupDnsConfigOptionArgs']]] options: The structure of options.
:param pulumi.Input[Sequence[pulumi.Input[str]]] searches: The list of DNS lookup domains.
"""
if name_servers is not None:
pulumi.set(__self__, "name_servers", name_servers)
if options is not None:
pulumi.set(__self__, "options", options)
if searches is not None:
pulumi.set(__self__, "searches", searches)
@property
@pulumi.getter(name="nameServers")
def name_servers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
The list of DNS server IP addresses.
"""
return pulumi.get(self, "name_servers")
@name_servers.setter
def name_servers(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "name_servers", value)
@property
@pulumi.getter
def options(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupDnsConfigOptionArgs']]]]:
"""
The structure of options.
"""
return pulumi.get(self, "options")
@options.setter
def options(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupDnsConfigOptionArgs']]]]):
pulumi.set(self, "options", value)
@property
@pulumi.getter
def searches(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
The list of DNS lookup domains.
"""
return pulumi.get(self, "searches")
@searches.setter
def searches(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "searches", value)
@pulumi.input_type
class ContainerGroupDnsConfigOptionArgs:
def __init__(__self__, *,
name: Optional[pulumi.Input[str]] = None,
value: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] name: The name of the mounted volume.
:param pulumi.Input[str] value: The value of the variable. The value can be 0 to 256 characters in length.
"""
if name is not None:
pulumi.set(__self__, "name", name)
if value is not None:
pulumi.set(__self__, "value", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the mounted volume.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def value(self) -> Optional[pulumi.Input[str]]:
"""
The value of the variable. The value can be 0 to 256 characters in length.
"""
return pulumi.get(self, "value")
@value.setter
def value(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "value", value)
@pulumi.input_type
class ContainerGroupEciSecurityContextArgs:
def __init__(__self__, *,
sysctls: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupEciSecurityContextSysctlArgs']]]] = None):
if sysctls is not None:
pulumi.set(__self__, "sysctls", sysctls)
@property
@pulumi.getter
def sysctls(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupEciSecurityContextSysctlArgs']]]]:
return pulumi.get(self, "sysctls")
@sysctls.setter
def sysctls(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupEciSecurityContextSysctlArgs']]]]):
pulumi.set(self, "sysctls", value)
@pulumi.input_type
class ContainerGroupEciSecurityContextSysctlArgs:
def __init__(__self__, *,
name: Optional[pulumi.Input[str]] = None,
value: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] name: The name of the mounted volume.
:param pulumi.Input[str] value: The value of the variable. The value can be 0 to 256 characters in length.
"""
if name is not None:
pulumi.set(__self__, "name", name)
if value is not None:
pulumi.set(__self__, "value", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the mounted volume.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def value(self) -> Optional[pulumi.Input[str]]:
"""
The value of the variable. The value can be 0 to 256 characters in length.
"""
return pulumi.get(self, "value")
@value.setter
def value(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "value", value)
@pulumi.input_type
class ContainerGroupHostAliasArgs:
def __init__(__self__, *,
hostnames: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
ip: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[Sequence[pulumi.Input[str]]] hostnames: Adds a host name.
:param pulumi.Input[str] ip: Adds an IP address.
"""
if hostnames is not None:
pulumi.set(__self__, "hostnames", hostnames)
if ip is not None:
pulumi.set(__self__, "ip", ip)
@property
@pulumi.getter
def hostnames(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Adds a host name.
"""
return pulumi.get(self, "hostnames")
@hostnames.setter
def hostnames(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "hostnames", value)
@property
@pulumi.getter
def ip(self) -> Optional[pulumi.Input[str]]:
"""
Adds an IP address.
"""
return pulumi.get(self, "ip")
@ip.setter
def ip(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ip", value)
@pulumi.input_type
class ContainerGroupInitContainerArgs:
def __init__(__self__, *,
args: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
commands: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
cpu: Optional[pulumi.Input[float]] = None,
environment_vars: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerEnvironmentVarArgs']]]] = None,
gpu: Optional[pulumi.Input[int]] = None,
image: Optional[pulumi.Input[str]] = None,
image_pull_policy: Optional[pulumi.Input[str]] = None,
memory: Optional[pulumi.Input[float]] = None,
name: Optional[pulumi.Input[str]] = None,
ports: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerPortArgs']]]] = None,
ready: Optional[pulumi.Input[bool]] = None,
restart_count: Optional[pulumi.Input[int]] = None,
volume_mounts: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerVolumeMountArgs']]]] = None,
working_dir: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[Sequence[pulumi.Input[str]]] args: The arguments passed to the commands.
:param pulumi.Input[Sequence[pulumi.Input[str]]] commands: The commands run by the init container.
:param pulumi.Input[float] cpu: The amount of CPU resources allocated to the container.
:param pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerEnvironmentVarArgs']]] environment_vars: The structure of environmentVars.
:param pulumi.Input[int] gpu: The number GPUs.
:param pulumi.Input[str] image: The image of the container.
:param pulumi.Input[str] image_pull_policy: The restart policy of the image.
:param pulumi.Input[float] memory: The amount of memory resources allocated to the container.
:param pulumi.Input[str] name: The name of the mounted volume.
:param pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerPortArgs']]] ports: The structure of port.
:param pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerVolumeMountArgs']]] volume_mounts: The structure of volumeMounts.
:param pulumi.Input[str] working_dir: The working directory of the container.
"""
if args is not None:
pulumi.set(__self__, "args", args)
if commands is not None:
pulumi.set(__self__, "commands", commands)
if cpu is not None:
pulumi.set(__self__, "cpu", cpu)
if environment_vars is not None:
pulumi.set(__self__, "environment_vars", environment_vars)
if gpu is not None:
pulumi.set(__self__, "gpu", gpu)
if image is not None:
pulumi.set(__self__, "image", image)
if image_pull_policy is not None:
pulumi.set(__self__, "image_pull_policy", image_pull_policy)
if memory is not None:
pulumi.set(__self__, "memory", memory)
if name is not None:
pulumi.set(__self__, "name", name)
if ports is not None:
pulumi.set(__self__, "ports", ports)
if ready is not None:
pulumi.set(__self__, "ready", ready)
if restart_count is not None:
pulumi.set(__self__, "restart_count", restart_count)
if volume_mounts is not None:
pulumi.set(__self__, "volume_mounts", volume_mounts)
if working_dir is not None:
pulumi.set(__self__, "working_dir", working_dir)
@property
@pulumi.getter
def args(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
The arguments passed to the commands.
"""
return pulumi.get(self, "args")
@args.setter
def args(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "args", value)
@property
@pulumi.getter
def commands(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
The commands run by the init container.
"""
return pulumi.get(self, "commands")
@commands.setter
def commands(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "commands", value)
@property
@pulumi.getter
def cpu(self) -> Optional[pulumi.Input[float]]:
"""
The amount of CPU resources allocated to the container.
"""
return pulumi.get(self, "cpu")
@cpu.setter
def cpu(self, value: Optional[pulumi.Input[float]]):
pulumi.set(self, "cpu", value)
@property
@pulumi.getter(name="environmentVars")
def environment_vars(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerEnvironmentVarArgs']]]]:
"""
The structure of environmentVars.
"""
return pulumi.get(self, "environment_vars")
@environment_vars.setter
def environment_vars(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerEnvironmentVarArgs']]]]):
pulumi.set(self, "environment_vars", value)
@property
@pulumi.getter
def gpu(self) -> Optional[pulumi.Input[int]]:
"""
The number GPUs.
"""
return pulumi.get(self, "gpu")
@gpu.setter
def gpu(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "gpu", value)
@property
@pulumi.getter
def image(self) -> Optional[pulumi.Input[str]]:
"""
The image of the container.
"""
return pulumi.get(self, "image")
@image.setter
def image(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "image", value)
@property
@pulumi.getter(name="imagePullPolicy")
def image_pull_policy(self) -> Optional[pulumi.Input[str]]:
"""
The restart policy of the image.
"""
return pulumi.get(self, "image_pull_policy")
@image_pull_policy.setter
def image_pull_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "image_pull_policy", value)
@property
@pulumi.getter
def memory(self) -> Optional[pulumi.Input[float]]:
"""
The amount of memory resources allocated to the container.
"""
return pulumi.get(self, "memory")
@memory.setter
def memory(self, value: Optional[pulumi.Input[float]]):
pulumi.set(self, "memory", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the mounted volume.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def ports(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerPortArgs']]]]:
"""
The structure of port.
"""
return pulumi.get(self, "ports")
@ports.setter
def ports(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerPortArgs']]]]):
pulumi.set(self, "ports", value)
@property
@pulumi.getter
def ready(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "ready")
@ready.setter
def ready(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "ready", value)
@property
@pulumi.getter(name="restartCount")
def restart_count(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "restart_count")
@restart_count.setter
def restart_count(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "restart_count", value)
@property
@pulumi.getter(name="volumeMounts")
def volume_mounts(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerVolumeMountArgs']]]]:
"""
The structure of volumeMounts.
"""
return pulumi.get(self, "volume_mounts")
@volume_mounts.setter
def volume_mounts(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupInitContainerVolumeMountArgs']]]]):
pulumi.set(self, "volume_mounts", value)
@property
@pulumi.getter(name="workingDir")
def working_dir(self) -> Optional[pulumi.Input[str]]:
"""
The working directory of the container.
"""
return pulumi.get(self, "working_dir")
@working_dir.setter
def working_dir(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "working_dir", value)
@pulumi.input_type
class ContainerGroupInitContainerEnvironmentVarArgs:
def __init__(__self__, *,
key: Optional[pulumi.Input[str]] = None,
value: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] key: The name of the variable. The name can be 1 to 128 characters in length and can contain letters, digits, and underscores (_). It cannot start with a digit.
:param pulumi.Input[str] value: The value of the variable. The value can be 0 to 256 characters in length.
"""
if key is not None:
pulumi.set(__self__, "key", key)
if value is not None:
pulumi.set(__self__, "value", value)
@property
@pulumi.getter
def key(self) -> Optional[pulumi.Input[str]]:
"""
The name of the variable. The name can be 1 to 128 characters in length and can contain letters, digits, and underscores (_). It cannot start with a digit.
"""
return pulumi.get(self, "key")
@key.setter
def key(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key", value)
@property
@pulumi.getter
def value(self) -> Optional[pulumi.Input[str]]:
"""
The value of the variable. The value can be 0 to 256 characters in length.
"""
return pulumi.get(self, "value")
@value.setter
def value(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "value", value)
@pulumi.input_type
class ContainerGroupInitContainerPortArgs:
def __init__(__self__, *,
port: Optional[pulumi.Input[int]] = None,
protocol: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[int] port: The port number. Valid values: 1 to 65535.
:param pulumi.Input[str] protocol: Valid values: TCP and UDP.
"""
if port is not None:
pulumi.set(__self__, "port", port)
if protocol is not None:
pulumi.set(__self__, "protocol", protocol)
@property
@pulumi.getter
def port(self) -> Optional[pulumi.Input[int]]:
"""
The port number. Valid values: 1 to 65535.
"""
return pulumi.get(self, "port")
@port.setter
def port(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "port", value)
@property
@pulumi.getter
def protocol(self) -> Optional[pulumi.Input[str]]:
"""
Valid values: TCP and UDP.
"""
return pulumi.get(self, "protocol")
@protocol.setter
def protocol(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "protocol", value)
@pulumi.input_type
class ContainerGroupInitContainerVolumeMountArgs:
def __init__(__self__, *,
mount_path: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
read_only: Optional[pulumi.Input[bool]] = None):
"""
:param pulumi.Input[str] mount_path: The directory of the mounted volume. Data under this directory will be overwritten by the data in the volume.
:param pulumi.Input[str] name: The name of the mounted volume.
:param pulumi.Input[bool] read_only: Default to `false`.
"""
if mount_path is not None:
pulumi.set(__self__, "mount_path", mount_path)
if name is not None:
pulumi.set(__self__, "name", name)
if read_only is not None:
pulumi.set(__self__, "read_only", read_only)
@property
@pulumi.getter(name="mountPath")
def mount_path(self) -> Optional[pulumi.Input[str]]:
"""
The directory of the mounted volume. Data under this directory will be overwritten by the data in the volume.
"""
return pulumi.get(self, "mount_path")
@mount_path.setter
def mount_path(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "mount_path", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the mounted volume.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="readOnly")
def read_only(self) -> Optional[pulumi.Input[bool]]:
"""
Default to `false`.
"""
return pulumi.get(self, "read_only")
@read_only.setter
def read_only(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "read_only", value)
@pulumi.input_type
class ContainerGroupVolumeArgs:
def __init__(__self__, *,
config_file_volume_config_file_to_paths: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupVolumeConfigFileVolumeConfigFileToPathArgs']]]] = None,
disk_volume_disk_id: Optional[pulumi.Input[str]] = None,
disk_volume_fs_type: Optional[pulumi.Input[str]] = None,
flex_volume_driver: Optional[pulumi.Input[str]] = None,
flex_volume_fs_type: Optional[pulumi.Input[str]] = None,
flex_volume_options: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
nfs_volume_path: Optional[pulumi.Input[str]] = None,
nfs_volume_read_only: Optional[pulumi.Input[bool]] = None,
nfs_volume_server: Optional[pulumi.Input[str]] = None,
type: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[Sequence[pulumi.Input['ContainerGroupVolumeConfigFileVolumeConfigFileToPathArgs']]] config_file_volume_config_file_to_paths: ConfigFileVolumeConfigFileToPaths.
:param pulumi.Input[str] disk_volume_disk_id: The ID of DiskVolume.
:param pulumi.Input[str] disk_volume_fs_type: The system type of DiskVolume.
:param pulumi.Input[str] flex_volume_driver: The name of the FlexVolume driver.
:param pulumi.Input[str] flex_volume_fs_type: The type of the mounted file system. The default value is determined by the script of FlexVolume.
:param pulumi.Input[str] flex_volume_options: The list of FlexVolume objects. Each object is a key-value pair contained in a JSON string.
:param pulumi.Input[str] name: The name of the mounted volume.
:param pulumi.Input[str] nfs_volume_path: The path to the NFS volume.
:param pulumi.Input[bool] nfs_volume_read_only: The nfs volume read only. Default to `false`.
:param pulumi.Input[str] nfs_volume_server: The address of the NFS server.
:param pulumi.Input[str] type: The type of the volume.
"""
if config_file_volume_config_file_to_paths is not None:
pulumi.set(__self__, "config_file_volume_config_file_to_paths", config_file_volume_config_file_to_paths)
if disk_volume_disk_id is not None:
pulumi.set(__self__, "disk_volume_disk_id", disk_volume_disk_id)
if disk_volume_fs_type is not None:
pulumi.set(__self__, "disk_volume_fs_type", disk_volume_fs_type)
if flex_volume_driver is not None:
pulumi.set(__self__, "flex_volume_driver", flex_volume_driver)
if flex_volume_fs_type is not None:
pulumi.set(__self__, "flex_volume_fs_type", flex_volume_fs_type)
if flex_volume_options is not None:
pulumi.set(__self__, "flex_volume_options", flex_volume_options)
if name is not None:
pulumi.set(__self__, "name", name)
if nfs_volume_path is not None:
pulumi.set(__self__, "nfs_volume_path", nfs_volume_path)
if nfs_volume_read_only is not None:
pulumi.set(__self__, "nfs_volume_read_only", nfs_volume_read_only)
if nfs_volume_server is not None:
pulumi.set(__self__, "nfs_volume_server", nfs_volume_server)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="configFileVolumeConfigFileToPaths")
def config_file_volume_config_file_to_paths(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupVolumeConfigFileVolumeConfigFileToPathArgs']]]]:
"""
ConfigFileVolumeConfigFileToPaths.
"""
return pulumi.get(self, "config_file_volume_config_file_to_paths")
@config_file_volume_config_file_to_paths.setter
def config_file_volume_config_file_to_paths(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContainerGroupVolumeConfigFileVolumeConfigFileToPathArgs']]]]):
pulumi.set(self, "config_file_volume_config_file_to_paths", value)
@property
@pulumi.getter(name="diskVolumeDiskId")
def disk_volume_disk_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of DiskVolume.
"""
return pulumi.get(self, "disk_volume_disk_id")
@disk_volume_disk_id.setter
def disk_volume_disk_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "disk_volume_disk_id", value)
@property
@pulumi.getter(name="diskVolumeFsType")
def disk_volume_fs_type(self) -> Optional[pulumi.Input[str]]:
"""
The system type of DiskVolume.
"""
return pulumi.get(self, "disk_volume_fs_type")
@disk_volume_fs_type.setter
def disk_volume_fs_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "disk_volume_fs_type", value)
@property
@pulumi.getter(name="flexVolumeDriver")
def flex_volume_driver(self) -> Optional[pulumi.Input[str]]:
"""
The name of the FlexVolume driver.
"""
return pulumi.get(self, "flex_volume_driver")
@flex_volume_driver.setter
def flex_volume_driver(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "flex_volume_driver", value)
@property
@pulumi.getter(name="flexVolumeFsType")
def flex_volume_fs_type(self) -> Optional[pulumi.Input[str]]:
"""
The type of the mounted file system. The default value is determined by the script of FlexVolume.
"""
return pulumi.get(self, "flex_volume_fs_type")
@flex_volume_fs_type.setter
def flex_volume_fs_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "flex_volume_fs_type", value)
@property
@pulumi.getter(name="flexVolumeOptions")
def flex_volume_options(self) -> Optional[pulumi.Input[str]]:
"""
The list of FlexVolume objects. Each object is a key-value pair contained in a JSON string.
"""
return pulumi.get(self, "flex_volume_options")
@flex_volume_options.setter
def flex_volume_options(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "flex_volume_options", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the mounted volume.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="nfsVolumePath")
def nfs_volume_path(self) -> Optional[pulumi.Input[str]]:
"""
The path to the NFS volume.
"""
return pulumi.get(self, "nfs_volume_path")
@nfs_volume_path.setter
def nfs_volume_path(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "nfs_volume_path", value)
@property
@pulumi.getter(name="nfsVolumeReadOnly")
def nfs_volume_read_only(self) -> Optional[pulumi.Input[bool]]:
"""
The nfs volume read only. Default to `false`.
"""
return pulumi.get(self, "nfs_volume_read_only")
@nfs_volume_read_only.setter
def nfs_volume_read_only(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "nfs_volume_read_only", value)
@property
@pulumi.getter(name="nfsVolumeServer")
def nfs_volume_server(self) -> Optional[pulumi.Input[str]]:
"""
The address of the NFS server.
"""
return pulumi.get(self, "nfs_volume_server")
@nfs_volume_server.setter
def nfs_volume_server(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "nfs_volume_server", value)
@property
@pulumi.getter
def type(self) -> Optional[pulumi.Input[str]]:
"""
The type of the volume.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "type", value)
@pulumi.input_type
class ContainerGroupVolumeConfigFileVolumeConfigFileToPathArgs:
def __init__(__self__, *,
content: Optional[pulumi.Input[str]] = None,
path: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] content: The content of the configuration file. Maximum size: 32 KB.
:param pulumi.Input[str] path: The relative file path.
"""
if content is not None:
pulumi.set(__self__, "content", content)
if path is not None:
pulumi.set(__self__, "path", path)
@property
@pulumi.getter
def content(self) -> Optional[pulumi.Input[str]]:
"""
The content of the configuration file. Maximum size: 32 KB.
"""
return pulumi.get(self, "content")
@content.setter
def content(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "content", value)
@property
@pulumi.getter
def path(self) -> Optional[pulumi.Input[str]]:
"""
The relative file path.
"""
return pulumi.get(self, "path")
@path.setter
def path(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "path", value)
@pulumi.input_type
class ImageCacheImageRegistryCredentialArgs:
def __init__(__self__, *,
password: Optional[pulumi.Input[str]] = None,
server: Optional[pulumi.Input[str]] = None,
user_name: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] password: The password of the Image Registry.
:param pulumi.Input[str] server: The address of Image Registry without `http://` or `https://`.
:param pulumi.Input[str] user_name: The user name of Image Registry.
"""
if password is not None:
pulumi.set(__self__, "password", password)
if server is not None:
pulumi.set(__self__, "server", server)
if user_name is not None:
pulumi.set(__self__, "user_name", user_name)
@property
@pulumi.getter
def password(self) -> Optional[pulumi.Input[str]]:
"""
The password of the Image Registry.
"""
return pulumi.get(self, "password")
@password.setter
def password(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "password", value)
@property
@pulumi.getter
def server(self) -> Optional[pulumi.Input[str]]:
"""
The address of Image Registry without `http://` or `https://`.
"""
return pulumi.get(self, "server")
@server.setter
def server(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "server", value)
@property
@pulumi.getter(name="userName")
def user_name(self) -> Optional[pulumi.Input[str]]:
"""
The user name of Image Registry.
"""
return pulumi.get(self, "user_name")
@user_name.setter
def user_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "user_name", value)
@pulumi.input_type
class OpenApiImageCacheImageRegistryCredentialArgs:
def __init__(__self__, *,
password: Optional[pulumi.Input[str]] = None,
server: Optional[pulumi.Input[str]] = None,
user_name: Optional[pulumi.Input[str]] = None):
if password is not None:
pulumi.set(__self__, "password", password)
if server is not None:
pulumi.set(__self__, "server", server)
if user_name is not None:
pulumi.set(__self__, "user_name", user_name)
@property
@pulumi.getter
def password(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "password")
@password.setter
def password(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "password", value)
@property
@pulumi.getter
def server(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "server")
@server.setter
def server(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "server", value)
@property
@pulumi.getter(name="userName")
def user_name(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "user_name")
@user_name.setter
def user_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "user_name", value)
| 37.28125
| 193
| 0.638253
| 5,432
| 46,527
| 5.302467
| 0.040133
| 0.135958
| 0.136548
| 0.087074
| 0.889595
| 0.861716
| 0.812901
| 0.738604
| 0.708919
| 0.68111
| 0
| 0.002184
| 0.242354
| 46,527
| 1,247
| 194
| 37.311147
| 0.814899
| 0.188536
| 0
| 0.715198
| 1
| 0
| 0.110424
| 0.052148
| 0
| 0
| 0
| 0
| 0
| 1
| 0.203065
| false
| 0.020434
| 0.006386
| 0.010217
| 0.321839
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
a1cf81df5e3c52166d575de8483d6fb2ec6c8eb1
| 2,410
|
py
|
Python
|
datasets/create_imagenets_t4.py
|
akshitac8/OW-DETR
|
9d6705f059a1eb51ea6edfa26ee624abeb67c775
|
[
"Apache-2.0"
] | 7
|
2022-03-29T22:38:05.000Z
|
2022-03-30T11:47:00.000Z
|
datasets/create_imagenets_t4.py
|
akshitac8/OW-DETR
|
9d6705f059a1eb51ea6edfa26ee624abeb67c775
|
[
"Apache-2.0"
] | null | null | null |
datasets/create_imagenets_t4.py
|
akshitac8/OW-DETR
|
9d6705f059a1eb51ea6edfa26ee624abeb67c775
|
[
"Apache-2.0"
] | null | null | null |
from pycocotools.coco import COCO
import numpy as np
T4_CLASS_NAMES = [
"laptop","mouse","remote","keyboard","cell phone",
"book","clock","vase","scissors","teddy bear","hair drier",
"toothbrush","wine glass","cup","fork","knife","spoon","bowl","tv","bottle"
]
# Train
coco_annotation_file = '../../data/coco/annotations/instances_train2017.json'
dest_file = '../../data/VOC2007/ImageSets/Main/t4_train_new_split.txt'
coco_instance = COCO(coco_annotation_file)
image_ids = []
cls = []
for index, image_id in enumerate(coco_instance.imgToAnns):
image_details = coco_instance.imgs[image_id]
classes = [coco_instance.cats[annotation['category_id']]['name'] for annotation in coco_instance.imgToAnns[image_id]]
if not set(classes).isdisjoint(T4_CLASS_NAMES):
image_ids.append(image_details['file_name'].split('.')[0])
cls.extend(classes)
(unique, counts) = np.unique(cls, return_counts=True)
print({x:y for x,y in zip(unique, counts)})
c = 0
for x,y in zip(unique, counts):
if x in T4_CLASS_NAMES:
c += y
print(c)
print(len(image_ids))
with open(dest_file, 'w') as file:
for image_id in image_ids:
file.write(str(image_id)+'\n')
print('Created train file')
# Test
coco_annotation_file = '../../data/coco/annotations/instances_val2017.json'
dest_file = '../../data/VOC2007/ImageSets/Main/t4_test_new_split.txt'
coco_instance = COCO(coco_annotation_file)
image_ids = []
cls = []
for index, image_id in enumerate(coco_instance.imgToAnns):
image_details = coco_instance.imgs[image_id]
classes = [coco_instance.cats[annotation['category_id']]['name'] for annotation in coco_instance.imgToAnns[image_id]]
if not set(classes).isdisjoint(T4_CLASS_NAMES):
image_ids.append(image_details['file_name'].split('.')[0])
cls.extend(classes)
(unique, counts) = np.unique(cls, return_counts=True)
print({x:y for x,y in zip(unique, counts)})
c = 0
for x,y in zip(unique, counts):
if x in T4_CLASS_NAMES:
c += y
print(c)
print(len(image_ids))
with open(dest_file, 'w') as file:
for image_id in image_ids:
file.write(str(image_id)+'\n')
print('Created test file')
# dest_file = '/proj/cvl/users/x_fahkh/akshita/data/VOC2007/ImageSets/Main/t4_test_unk.txt'
# with open(dest_file, 'w') as file:
# for image_id in image_ids:
# file.write(str(image_id)+'\n')
# print('Created test_unk file')
| 31.298701
| 121
| 0.699585
| 368
| 2,410
| 4.372283
| 0.263587
| 0.052206
| 0.03729
| 0.064636
| 0.83468
| 0.83468
| 0.813549
| 0.75637
| 0.709136
| 0.709136
| 0
| 0.015474
| 0.141909
| 2,410
| 76
| 122
| 31.710526
| 0.762573
| 0.097925
| 0
| 0.754717
| 0
| 0
| 0.198061
| 0.098338
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.037736
| 0
| 0.037736
| 0.150943
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a1e296efd299e3a93efa6bce7840acbfb99b947f
| 65,440
|
py
|
Python
|
tests/unittests/evaluation_tests.py
|
Fariborzzz/fiftyone
|
06975961f5ee649dd36429feb21c959dfc0744ed
|
[
"Apache-2.0"
] | 1
|
2021-12-17T10:11:37.000Z
|
2021-12-17T10:11:37.000Z
|
tests/unittests/evaluation_tests.py
|
Fariborzzz/fiftyone
|
06975961f5ee649dd36429feb21c959dfc0744ed
|
[
"Apache-2.0"
] | null | null | null |
tests/unittests/evaluation_tests.py
|
Fariborzzz/fiftyone
|
06975961f5ee649dd36429feb21c959dfc0744ed
|
[
"Apache-2.0"
] | null | null | null |
"""
FiftyOne evaluation-related unit tests.
| Copyright 2017-2021, Voxel51, Inc.
| `voxel51.com <https://voxel51.com/>`_
|
"""
import unittest
import warnings
import numpy as np
import fiftyone as fo
from decorators import drop_datasets
class RegressionTests(unittest.TestCase):
def _make_regression_dataset(self):
dataset = fo.Dataset()
sample1 = fo.Sample(filepath="image1.jpg")
sample2 = fo.Sample(
filepath="image2.jpg",
ground_truth=fo.Regression(value=1.0),
predictions=None,
)
sample3 = fo.Sample(
filepath="image3.jpg",
ground_truth=None,
predictions=fo.Regression(value=1.0, confidence=0.9),
)
sample4 = fo.Sample(
filepath="image4.jpg",
ground_truth=fo.Regression(value=2.0),
predictions=fo.Regression(value=1.9, confidence=0.9),
)
sample5 = fo.Sample(
filepath="image5.jpg",
ground_truth=fo.Regression(value=2.8),
predictions=fo.Regression(value=3.0, confidence=0.9),
)
dataset.add_samples([sample1, sample2, sample3, sample4, sample5])
return dataset
@drop_datasets
def test_evaluate_regressions_simple(self):
dataset = self._make_regression_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_regressions(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="simple",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.print_metrics()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
#
# Test evaluation (including missing data)
#
results = dataset.evaluate_regressions(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="simple",
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.print_metrics()
metrics = results.metrics()
self.assertEqual(metrics["support"], 2)
actual = dataset.values("eval")
expected = [None, None, None, 0.01, 0.04]
for a, e in zip(actual, expected):
if e is None:
self.assertIsNone(a)
else:
self.assertAlmostEqual(a, e)
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertNotIn("eval", dataset.get_field_schema())
class VideoRegressionTests(unittest.TestCase):
def _make_video_regression_dataset(self):
dataset = fo.Dataset()
sample1 = fo.Sample(filepath="video1.mp4")
sample2 = fo.Sample(filepath="video2.mp4")
sample2.frames[1] = fo.Frame()
sample3 = fo.Sample(filepath="video3.mp4")
sample3.frames[1] = fo.Frame(
ground_truth=fo.Regression(value=1.0), predictions=None,
)
sample3.frames[2] = fo.Frame(
ground_truth=None,
predictions=fo.Regression(value=1.0, confidence=0.9),
)
sample4 = fo.Sample(filepath="video4.mp4")
sample4.frames[1] = fo.Frame(
ground_truth=fo.Regression(value=2.0),
predictions=fo.Regression(value=1.9, confidence=0.9),
)
sample4.frames[2] = fo.Frame(
ground_truth=fo.Regression(value=2.8),
predictions=fo.Regression(value=3.0, confidence=0.9),
)
dataset.add_samples([sample1, sample2, sample3, sample4])
return dataset
@drop_datasets
def test_evaluate_video_regressions_simple(self):
dataset = self._make_video_regression_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_regressions(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="simple",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.print_metrics()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
#
# Test evaluation (including missing data)
#
results = dataset.evaluate_regressions(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="simple",
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.print_metrics()
metrics = results.metrics()
self.assertEqual(metrics["support"], 2)
actual = dataset.values("eval")
expected = [None, None, None, 0.025]
for a, e in zip(actual, expected):
if e is None:
self.assertIsNone(a)
else:
self.assertAlmostEqual(a, e)
actual = dataset.values("frames.eval", unwind=True)
expected = [None, None, None, 0.01, 0.04]
for a, e in zip(actual, expected):
if e is None:
self.assertIsNone(a)
else:
self.assertAlmostEqual(a, e)
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertNotIn("eval", dataset.get_field_schema())
self.assertNotIn("eval", dataset.get_frame_field_schema())
class ClassificationTests(unittest.TestCase):
def _make_classification_dataset(self):
dataset = fo.Dataset()
sample1 = fo.Sample(filepath="image1.jpg")
sample2 = fo.Sample(
filepath="image2.jpg",
ground_truth=fo.Classification(label="cat"),
predictions=None,
)
sample3 = fo.Sample(
filepath="image3.jpg",
ground_truth=None,
predictions=fo.Classification(
label="cat", confidence=0.9, logits=[0.9, 0.1]
),
)
sample4 = fo.Sample(
filepath="image4.jpg",
ground_truth=fo.Classification(label="cat"),
predictions=fo.Classification(
label="cat", confidence=0.9, logits=[0.9, 0.1]
),
)
sample5 = fo.Sample(
filepath="image5.jpg",
ground_truth=fo.Classification(label="cat"),
predictions=fo.Classification(
label="dog", confidence=0.9, logits=[0.1, 0.9]
),
)
dataset.add_samples([sample1, sample2, sample3, sample4, sample5])
return dataset
@drop_datasets
def test_evaluate_classifications_simple(self):
dataset = self._make_classification_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_classifications(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="simple",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
actual = results.confusion_matrix()
self.assertEqual(actual.shape, (0, 0))
#
# Test evaluation (including missing data)
#
results = dataset.evaluate_classifications(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="simple",
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 3)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 1], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 1, 1], [0, 0, 0], [1, 0, 1]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertIn("eval", dataset.get_field_schema())
self.assertListEqual(
dataset.values("eval"), [True, False, False, True, False],
)
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertNotIn("eval", dataset.get_field_schema())
@drop_datasets
def test_evaluate_classifications_top_k(self):
dataset = self._make_classification_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_classifications(
"predictions",
gt_field="ground_truth",
eval_key="eval",
classes=["cat", "dog"],
method="top-k",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[0, 0], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
#
# Test evaluation (including missing data)
#
with warnings.catch_warnings():
warnings.simplefilter("ignore") # suppress missing logits warning
results = dataset.evaluate_classifications(
"predictions",
gt_field="ground_truth",
eval_key="eval",
classes=["cat", "dog"],
method="top-k",
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 3)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[2, 0], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[2, 0, 1], [0, 0, 0], [1, 0, 1]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertIn("eval", dataset.get_field_schema())
self.assertListEqual(
dataset.values("eval"), [False, False, False, True, True],
)
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertNotIn("eval", dataset.get_field_schema())
with warnings.catch_warnings():
warnings.simplefilter("ignore") # suppress missing logits warning
results = dataset.evaluate_classifications(
"predictions",
gt_field="ground_truth",
eval_key="eval",
classes=["cat", "dog"],
method="top-k",
k=1,
)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 1], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 1, 1], [0, 0, 0], [1, 0, 1]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertListEqual(
dataset.values("eval"), [False, False, False, True, False],
)
@drop_datasets
def test_evaluate_classifications_binary(self):
dataset = self._make_classification_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_classifications(
"predictions",
gt_field="ground_truth",
eval_key="eval",
classes=["cat", "dog"],
method="binary",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[0, 0], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
#
# Test evaluation (including missing data)
#
results = dataset.evaluate_classifications(
"predictions",
gt_field="ground_truth",
eval_key="eval",
classes=["cat", "dog"],
method="binary",
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 5)
# rows = GT, cols = predicted, labels = [cat, dog]
# Missing predictions are assigned the negative label ("cat")
actual = results.confusion_matrix()
expected = np.array([[4, 1], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertIn("eval", dataset.get_field_schema())
self.assertListEqual(
dataset.values("eval"), ["TN", "TN", "TN", "TN", "FP"],
)
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertNotIn("eval", dataset.get_field_schema())
class VideoClassificationTests(unittest.TestCase):
def _make_video_classification_dataset(self):
dataset = fo.Dataset()
sample1 = fo.Sample(filepath="video1.mp4")
sample2 = fo.Sample(filepath="video2.mp4")
sample2.frames[1] = fo.Frame()
sample3 = fo.Sample(filepath="video3.mp4")
sample3.frames[1] = fo.Frame(
ground_truth=fo.Classification(label="cat"), predictions=None,
)
sample3.frames[2] = fo.Frame(
ground_truth=None,
predictions=fo.Classification(
label="cat", confidence=0.9, logits=[0.9, 0.1]
),
)
sample4 = fo.Sample(filepath="video4.mp4")
sample4.frames[1] = fo.Frame(
ground_truth=fo.Classification(label="cat"),
predictions=fo.Classification(
label="cat", confidence=0.9, logits=[0.9, 0.1]
),
)
sample4.frames[2] = fo.Frame(
ground_truth=fo.Classification(label="cat"),
predictions=fo.Classification(
label="dog", confidence=0.9, logits=[0.1, 0.9]
),
)
dataset.add_samples([sample1, sample2, sample3, sample4])
return dataset
@drop_datasets
def test_evaluate_video_classifications_simple(self):
dataset = self._make_video_classification_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_classifications(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="simple",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
actual = results.confusion_matrix()
self.assertEqual(actual.shape, (0, 0))
#
# Test evaluation (including missing data)
#
results = dataset.evaluate_classifications(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="simple",
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 3)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 1], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 1, 1], [0, 0, 0], [1, 0, 1]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertIn("eval", dataset.get_field_schema())
self.assertIn("eval", dataset.get_frame_field_schema())
self.assertListEqual(
dataset.values("frames.eval"),
[[], [True], [False, False], [True, False]],
)
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertNotIn("eval", dataset.get_field_schema())
self.assertNotIn("eval", dataset.get_frame_field_schema())
@drop_datasets
def test_evaluate_video_classifications_top_k(self):
dataset = self._make_video_classification_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_classifications(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
classes=["cat", "dog"],
method="top-k",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[0, 0], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
#
# Test evaluation (including missing data)
#
with warnings.catch_warnings():
warnings.simplefilter("ignore") # suppress missing logits warning
results = dataset.evaluate_classifications(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
classes=["cat", "dog"],
method="top-k",
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 3)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[2, 0], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[2, 0, 1], [0, 0, 0], [1, 0, 1]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertIn("eval", dataset.get_field_schema())
self.assertIn("eval", dataset.get_frame_field_schema())
self.assertListEqual(
dataset.values("frames.eval"),
[[], [False], [False, False], [True, True]],
)
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertNotIn("eval", dataset.get_field_schema())
self.assertNotIn("eval", dataset.get_frame_field_schema())
with warnings.catch_warnings():
warnings.simplefilter("ignore") # suppress missing logits warning
results = dataset.evaluate_classifications(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
classes=["cat", "dog"],
method="top-k",
k=1,
)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 1], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 1, 1], [0, 0, 0], [1, 0, 1]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertListEqual(
dataset.values("frames.eval"),
[[], [False], [False, False], [True, False]],
)
@drop_datasets
def test_evaluate_video_classifications_binary(self):
dataset = self._make_video_classification_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_classifications(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
classes=["cat", "dog"],
method="binary",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[0, 0], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
#
# Test evaluation (including missing data)
#
results = dataset.evaluate_classifications(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
classes=["cat", "dog"],
method="binary",
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 5)
# rows = GT, cols = predicted, labels = [cat, dog]
# Missing predictions are assigned the negative label ("cat")
actual = results.confusion_matrix()
expected = np.array([[4, 1], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertIn("eval", dataset.get_field_schema())
self.assertIn("eval", dataset.get_frame_field_schema())
self.assertListEqual(
dataset.values("frames.eval"),
[[], ["TN"], ["TN", "TN"], ["TN", "FP"]],
)
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertNotIn("eval", dataset.get_field_schema())
self.assertNotIn("eval", dataset.get_frame_field_schema())
class DetectionsTests(unittest.TestCase):
def _make_detections_dataset(self):
dataset = fo.Dataset()
sample1 = fo.Sample(filepath="image1.jpg")
sample2 = fo.Sample(
filepath="image2.jpg",
ground_truth=fo.Detections(
detections=[
fo.Detection(
label="cat", bounding_box=[0.1, 0.1, 0.4, 0.4],
)
]
),
predictions=None,
)
sample3 = fo.Sample(
filepath="image3.jpg",
ground_truth=None,
predictions=fo.Detections(
detections=[
fo.Detection(
label="cat",
bounding_box=[0.1, 0.1, 0.4, 0.4],
confidence=0.9,
)
]
),
)
sample4 = fo.Sample(
filepath="image4.jpg",
ground_truth=fo.Detections(
detections=[
fo.Detection(
label="cat", bounding_box=[0.1, 0.1, 0.4, 0.4],
)
]
),
predictions=fo.Detections(
detections=[
fo.Detection(
label="cat",
bounding_box=[0.1, 0.1, 0.4, 0.4],
confidence=0.9,
)
]
),
)
sample5 = fo.Sample(
filepath="image5.jpg",
ground_truth=fo.Detections(
detections=[
fo.Detection(
label="cat", bounding_box=[0.1, 0.1, 0.4, 0.4],
)
]
),
predictions=fo.Detections(
detections=[
fo.Detection(
label="dog",
bounding_box=[0.1, 0.1, 0.4, 0.4],
confidence=0.9,
)
]
),
)
dataset.add_samples([sample1, sample2, sample3, sample4, sample5])
return dataset
def _make_instances_dataset(self):
dataset = fo.Dataset()
sample1 = fo.Sample(filepath="image1.jpg")
sample2 = fo.Sample(
filepath="image2.jpg",
ground_truth=fo.Detections(
detections=[
fo.Detection(
label="cat",
bounding_box=[0.1, 0.1, 0.4, 0.4],
mask=np.full((8, 8), True),
)
]
),
predictions=None,
)
sample3 = fo.Sample(
filepath="image3.jpg",
ground_truth=None,
predictions=fo.Detections(
detections=[
fo.Detection(
label="cat",
bounding_box=[0.1, 0.1, 0.4, 0.4],
confidence=0.9,
mask=np.full((8, 8), True),
)
]
),
)
sample4 = fo.Sample(
filepath="image4.jpg",
ground_truth=fo.Detections(
detections=[
fo.Detection(
label="cat",
bounding_box=[0.1, 0.1, 0.4, 0.4],
mask=np.full((8, 8), True),
)
]
),
predictions=fo.Detections(
detections=[
fo.Detection(
label="cat",
bounding_box=[0.1, 0.1, 0.4, 0.4],
confidence=0.9,
mask=np.full((8, 8), True),
),
]
),
)
sample5 = fo.Sample(
filepath="image5.jpg",
ground_truth=fo.Detections(
detections=[
fo.Detection(
label="cat",
bounding_box=[0.1, 0.1, 0.4, 0.4],
mask=np.full((8, 8), True),
)
]
),
predictions=fo.Detections(
detections=[
fo.Detection(
label="dog",
bounding_box=[0.1, 0.1, 0.4, 0.4],
confidence=0.9,
mask=np.full((8, 8), True),
)
]
),
)
dataset.add_samples([sample1, sample2, sample3, sample4, sample5])
return dataset
def _make_polylines_dataset(self):
dataset = fo.Dataset()
sample1 = fo.Sample(filepath="image1.jpg")
sample2 = fo.Sample(
filepath="image2.jpg",
ground_truth=fo.Polylines(
polylines=[
fo.Polyline(
label="cat",
points=[
[(0.1, 0.1), (0.1, 0.4), (0.4, 0.4), (0.4, 0.1)]
],
filled=True,
)
]
),
predictions=None,
)
sample3 = fo.Sample(
filepath="image3.jpg",
ground_truth=None,
predictions=fo.Polylines(
polylines=[
fo.Polyline(
label="cat",
points=[
[(0.1, 0.1), (0.1, 0.4), (0.4, 0.4), (0.4, 0.1)]
],
filled=True,
confidence=0.9,
)
]
),
)
sample4 = fo.Sample(
filepath="image4.jpg",
ground_truth=fo.Polylines(
polylines=[
fo.Polyline(
label="cat",
points=[
[(0.1, 0.1), (0.1, 0.4), (0.4, 0.4), (0.4, 0.1)]
],
filled=True,
)
]
),
predictions=fo.Polylines(
polylines=[
fo.Polyline(
label="cat",
points=[
[(0.1, 0.1), (0.1, 0.4), (0.4, 0.4), (0.4, 0.1)]
],
filled=True,
confidence=0.9,
)
]
),
)
sample5 = fo.Sample(
filepath="image5.jpg",
ground_truth=fo.Polylines(
polylines=[
fo.Polyline(
label="cat",
points=[
[(0.1, 0.1), (0.1, 0.4), (0.4, 0.4), (0.4, 0.1)]
],
filled=True,
)
]
),
predictions=fo.Polylines(
polylines=[
fo.Polyline(
label="dog",
points=[
[(0.1, 0.1), (0.1, 0.4), (0.4, 0.4), (0.4, 0.1)]
],
filled=True,
confidence=0.9,
)
]
),
)
dataset.add_samples([sample1, sample2, sample3, sample4, sample5])
return dataset
def _evaluate_coco(self, dataset, kwargs):
_, gt_eval_field = dataset._get_label_field_path(
"ground_truth", "eval"
)
_, pred_eval_field = dataset._get_label_field_path(
"predictions", "eval"
)
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_detections(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="coco",
compute_mAP=True,
**kwargs,
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
results.mAP()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
actual = results.confusion_matrix()
self.assertEqual(actual.shape, (0, 0))
#
# Test classwise evaluation (including missing data)
#
results = dataset.evaluate_detections(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="coco",
compute_mAP=True,
classwise=True, # don't allow matches w/ different classes
**kwargs,
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
results.mAP()
metrics = results.metrics()
self.assertEqual(metrics["support"], 3)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 0], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 0, 2], [0, 0, 0], [1, 1, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertListEqual(
dataset.values(gt_eval_field),
[None, ["fn"], None, ["tp"], ["fn"]],
)
self.assertListEqual(
dataset.values(pred_eval_field),
[None, None, ["fp"], ["tp"], ["fp"]],
)
self.assertIn("eval_tp", dataset.get_field_schema())
self.assertListEqual(dataset.values("eval_tp"), [0, 0, 0, 1, 0])
self.assertIn("eval_fp", dataset.get_field_schema())
self.assertListEqual(dataset.values("eval_fp"), [0, 0, 1, 0, 1])
self.assertIn("eval_fn", dataset.get_field_schema())
self.assertListEqual(dataset.values("eval_fn"), [0, 1, 0, 0, 1])
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertListEqual(
dataset.values(gt_eval_field),
[None, [None], None, [None], [None]],
)
self.assertListEqual(
dataset.values(pred_eval_field),
[None, None, [None], [None], [None]],
)
self.assertNotIn("eval_tp", dataset.get_field_schema())
self.assertNotIn("eval_fp", dataset.get_field_schema())
self.assertNotIn("eval_fn", dataset.get_field_schema())
#
# Test non-classwise evaluation (including missing data)
#
results = dataset.evaluate_detections(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="coco",
compute_mAP=True,
classwise=False, # allow matches w/ different classes
**kwargs,
)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 1], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 1, 1], [0, 0, 0], [1, 0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertListEqual(
dataset.values(gt_eval_field),
[None, ["fn"], None, ["tp"], ["fn"]],
)
self.assertListEqual(
dataset.values(pred_eval_field),
[None, None, ["fp"], ["tp"], ["fp"]],
)
self.assertListEqual(dataset.values("eval_tp"), [0, 0, 0, 1, 0])
self.assertListEqual(dataset.values("eval_fp"), [0, 0, 1, 0, 1])
self.assertListEqual(dataset.values("eval_fn"), [0, 1, 0, 0, 1])
def _evaluate_open_images(self, dataset, kwargs):
_, gt_eval_field = dataset._get_label_field_path(
"ground_truth", "eval"
)
_, pred_eval_field = dataset._get_label_field_path(
"predictions", "eval"
)
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_detections(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="open-images",
**kwargs,
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
results.mAP()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
actual = results.confusion_matrix()
self.assertEqual(actual.shape, (0, 0))
#
# Test classwise evaluation (including missing data)
#
results = dataset.evaluate_detections(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="open-images",
classwise=True, # don't allow matches w/ different classes
**kwargs,
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
results.mAP()
metrics = results.metrics()
self.assertEqual(metrics["support"], 3)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 0], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 0, 2], [0, 0, 0], [1, 1, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertListEqual(
dataset.values(gt_eval_field),
[None, ["fn"], None, ["tp"], ["fn"]],
)
self.assertListEqual(
dataset.values(pred_eval_field),
[None, None, ["fp"], ["tp"], ["fp"]],
)
self.assertIn("eval_tp", dataset.get_field_schema())
self.assertListEqual(dataset.values("eval_tp"), [0, 0, 0, 1, 0])
self.assertIn("eval_fp", dataset.get_field_schema())
self.assertListEqual(dataset.values("eval_fp"), [0, 0, 1, 0, 1])
self.assertIn("eval_fn", dataset.get_field_schema())
self.assertListEqual(dataset.values("eval_fn"), [0, 1, 0, 0, 1])
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertListEqual(
dataset.values(gt_eval_field),
[None, [None], None, [None], [None]],
)
self.assertListEqual(
dataset.values(pred_eval_field),
[None, None, [None], [None], [None]],
)
self.assertNotIn("eval_tp", dataset.get_field_schema())
self.assertNotIn("eval_fp", dataset.get_field_schema())
self.assertNotIn("eval_fn", dataset.get_field_schema())
#
# Test non-classwise evaluation (including missing data)
#
results = dataset.evaluate_detections(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="open-images",
classwise=False, # allow matches w/ different classes
**kwargs,
)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 1], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 1, 1], [0, 0, 0], [1, 0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertListEqual(
dataset.values(gt_eval_field),
[None, ["fn"], None, ["tp"], ["fn"]],
)
self.assertListEqual(
dataset.values(pred_eval_field),
[None, None, ["fp"], ["tp"], ["fp"]],
)
self.assertListEqual(dataset.values("eval_tp"), [0, 0, 0, 1, 0])
self.assertListEqual(dataset.values("eval_fp"), [0, 0, 1, 0, 1])
self.assertListEqual(dataset.values("eval_fn"), [0, 1, 0, 0, 1])
@drop_datasets
def test_evaluate_detections_coco(self):
dataset = self._make_detections_dataset()
kwargs = {}
self._evaluate_coco(dataset, kwargs)
@drop_datasets
def test_evaluate_instances_coco(self):
dataset = self._make_instances_dataset()
kwargs = dict(use_masks=True)
self._evaluate_coco(dataset, kwargs)
@drop_datasets
def test_evaluate_polylines_coco(self):
dataset = self._make_polylines_dataset()
kwargs = {}
self._evaluate_coco(dataset, kwargs)
@drop_datasets
def test_evaluate_detections_open_images(self):
dataset = self._make_detections_dataset()
kwargs = {}
self._evaluate_open_images(dataset, kwargs)
@drop_datasets
def test_evaluate_instances_open_images(self):
dataset = self._make_instances_dataset()
kwargs = dict(use_masks=True)
self._evaluate_open_images(dataset, kwargs)
@drop_datasets
def test_evaluate_polylines_open_images(self):
dataset = self._make_polylines_dataset()
kwargs = {}
self._evaluate_open_images(dataset, kwargs)
class VideoDetectionsTests(unittest.TestCase):
def _make_video_detections_dataset(self):
dataset = fo.Dataset()
sample1 = fo.Sample(filepath="video1.mp4")
sample2 = fo.Sample(filepath="video2.mp4")
sample2.frames[1] = fo.Frame()
sample3 = fo.Sample(filepath="video3.mp4")
sample3.frames[1] = fo.Frame(
ground_truth=fo.Detections(
detections=[
fo.Detection(
label="cat", bounding_box=[0.1, 0.1, 0.4, 0.4],
)
]
),
predictions=None,
)
sample3.frames[2] = fo.Frame(
ground_truth=None,
predictions=fo.Detections(
detections=[
fo.Detection(
label="cat",
bounding_box=[0.1, 0.1, 0.4, 0.4],
confidence=0.9,
)
]
),
)
sample4 = fo.Sample(filepath="video4.mp4")
sample4.frames[1] = fo.Frame(
ground_truth=fo.Detections(
detections=[
fo.Detection(
label="cat", bounding_box=[0.1, 0.1, 0.4, 0.4],
)
]
),
predictions=fo.Detections(
detections=[
fo.Detection(
label="cat",
bounding_box=[0.1, 0.1, 0.4, 0.4],
confidence=0.9,
)
]
),
)
sample4.frames[2] = fo.Frame(
ground_truth=fo.Detections(
detections=[
fo.Detection(
label="cat", bounding_box=[0.1, 0.1, 0.4, 0.4],
)
]
),
predictions=fo.Detections(
detections=[
fo.Detection(
label="dog",
bounding_box=[0.1, 0.1, 0.4, 0.4],
confidence=0.9,
)
]
),
)
dataset.add_samples([sample1, sample2, sample3, sample4])
return dataset
def test_evaluate_video_detections_coco(self):
dataset = self._make_video_detections_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_detections(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="coco",
compute_mAP=True,
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
results.mAP()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
actual = results.confusion_matrix()
self.assertEqual(actual.shape, (0, 0))
#
# Test classwise evaluation (including missing data)
#
results = dataset.evaluate_detections(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="coco",
compute_mAP=True,
classwise=True, # don't allow matches w/ different classes
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
results.mAP()
metrics = results.metrics()
self.assertEqual(metrics["support"], 3)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 0], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 0, 2], [0, 0, 0], [1, 1, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertListEqual(
dataset.values("frames.ground_truth.detections.eval"),
[[], [None], [["fn"], None], [["tp"], ["fn"]]],
)
self.assertListEqual(
dataset.values("frames.predictions.detections.eval"),
[[], [None], [None, ["fp"]], [["tp"], ["fp"]]],
)
self.assertIn("eval_tp", dataset.get_field_schema())
self.assertIn("eval_tp", dataset.get_frame_field_schema())
self.assertListEqual(
dataset.values("frames.eval_tp"), [[], [0], [0, 0], [1, 0]],
)
self.assertIn("eval_fp", dataset.get_field_schema())
self.assertIn("eval_fp", dataset.get_frame_field_schema())
self.assertListEqual(
dataset.values("frames.eval_fp"), [[], [0], [0, 1], [0, 1]],
)
self.assertIn("eval_fn", dataset.get_field_schema())
self.assertIn("eval_fn", dataset.get_frame_field_schema())
self.assertListEqual(
dataset.values("frames.eval_fn"), [[], [0], [1, 0], [0, 1]],
)
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertListEqual(
dataset.values("frames.ground_truth.detections.eval"),
[[], [None], [[None], None], [[None], [None]]],
)
self.assertListEqual(
dataset.values("frames.predictions.detections.eval"),
[[], [None], [None, [None]], [[None], [None]]],
)
self.assertNotIn("eval_tp", dataset.get_field_schema())
self.assertNotIn("eval_tp", dataset.get_frame_field_schema())
self.assertNotIn("eval_fp", dataset.get_field_schema())
self.assertNotIn("eval_fp", dataset.get_frame_field_schema())
self.assertNotIn("eval_fn", dataset.get_field_schema())
self.assertNotIn("eval_fn", dataset.get_frame_field_schema())
#
# Test non-classwise evaluation (including missing data)
#
results = dataset.evaluate_detections(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="coco",
compute_mAP=True,
classwise=False, # allow matches w/ different classes
)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 1], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 1, 1], [0, 0, 0], [1, 0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertListEqual(
dataset.values("frames.ground_truth.detections.eval"),
[[], [None], [["fn"], None], [["tp"], ["fn"]]],
)
self.assertListEqual(
dataset.values("frames.predictions.detections.eval"),
[[], [None], [None, ["fp"]], [["tp"], ["fp"]]],
)
self.assertListEqual(
dataset.values("frames.eval_tp"), [[], [0], [0, 0], [1, 0]],
)
self.assertListEqual(
dataset.values("frames.eval_fp"), [[], [0], [0, 1], [0, 1]],
)
self.assertListEqual(
dataset.values("frames.eval_fn"), [[], [0], [1, 0], [0, 1]],
)
def test_evaluate_video_detections_open_images(self):
dataset = self._make_video_detections_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_detections(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="open-images",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
results.mAP()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
actual = results.confusion_matrix()
self.assertEqual(actual.shape, (0, 0))
#
# Test classwise evaluation (including missing data)
#
results = dataset.evaluate_detections(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="open-images",
classwise=True, # don't allow matches w/ different classes
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
results.mAP()
metrics = results.metrics()
self.assertEqual(metrics["support"], 3)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 0], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 0, 2], [0, 0, 0], [1, 1, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertListEqual(
dataset.values("frames.ground_truth.detections.eval"),
[[], [None], [["fn"], None], [["tp"], ["fn"]]],
)
self.assertListEqual(
dataset.values("frames.predictions.detections.eval"),
[[], [None], [None, ["fp"]], [["tp"], ["fp"]]],
)
self.assertIn("eval_tp", dataset.get_field_schema())
self.assertIn("eval_tp", dataset.get_frame_field_schema())
self.assertListEqual(
dataset.values("frames.eval_tp"), [[], [0], [0, 0], [1, 0]],
)
self.assertIn("eval_fp", dataset.get_field_schema())
self.assertIn("eval_fp", dataset.get_frame_field_schema())
self.assertListEqual(
dataset.values("frames.eval_fp"), [[], [0], [0, 1], [0, 1]],
)
self.assertIn("eval_fn", dataset.get_field_schema())
self.assertIn("eval_fn", dataset.get_frame_field_schema())
self.assertListEqual(
dataset.values("frames.eval_fn"), [[], [0], [1, 0], [0, 1]],
)
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertListEqual(
dataset.values("frames.ground_truth.detections.eval"),
[[], [None], [[None], None], [[None], [None]]],
)
self.assertListEqual(
dataset.values("frames.predictions.detections.eval"),
[[], [None], [None, [None]], [[None], [None]]],
)
self.assertNotIn("eval_tp", dataset.get_field_schema())
self.assertNotIn("eval_tp", dataset.get_frame_field_schema())
self.assertNotIn("eval_fp", dataset.get_field_schema())
self.assertNotIn("eval_fp", dataset.get_frame_field_schema())
self.assertNotIn("eval_fn", dataset.get_field_schema())
self.assertNotIn("eval_fn", dataset.get_frame_field_schema())
#
# Test non-classwise evaluation (including missing data)
#
results = dataset.evaluate_detections(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="open-images",
classwise=False, # allow matches w/ different classes
)
# rows = GT, cols = predicted, labels = [cat, dog]
actual = results.confusion_matrix()
expected = np.array([[1, 1], [0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
# rows = GT, cols = predicted, labels = [cat, dog, None]
classes = list(results.classes) + [results.missing]
actual = results.confusion_matrix(classes=classes)
expected = np.array([[1, 1, 1], [0, 0, 0], [1, 0, 0]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertListEqual(
dataset.values("frames.ground_truth.detections.eval"),
[[], [None], [["fn"], None], [["tp"], ["fn"]]],
)
self.assertListEqual(
dataset.values("frames.predictions.detections.eval"),
[[], [None], [None, ["fp"]], [["tp"], ["fp"]]],
)
self.assertListEqual(
dataset.values("frames.eval_tp"), [[], [0], [0, 0], [1, 0]],
)
self.assertListEqual(
dataset.values("frames.eval_fp"), [[], [0], [0, 1], [0, 1]],
)
self.assertListEqual(
dataset.values("frames.eval_fn"), [[], [0], [1, 0], [0, 1]],
)
class SegmentationTests(unittest.TestCase):
def _make_segmentation_dataset(self):
dataset = fo.Dataset()
sample1 = fo.Sample(filepath="image1.jpg")
sample2 = fo.Sample(
filepath="image2.jpg",
ground_truth=fo.Segmentation(mask=np.array([[0, 0], [1, 2]])),
predictions=None,
)
sample3 = fo.Sample(
filepath="image3.jpg",
ground_truth=None,
predictions=fo.Segmentation(mask=np.array([[0, 0], [1, 2]])),
)
sample4 = fo.Sample(
filepath="image4.jpg",
ground_truth=fo.Segmentation(mask=np.array([[0, 0], [1, 2]])),
predictions=fo.Segmentation(mask=np.array([[0, 0], [1, 2]])),
)
sample5 = fo.Sample(
filepath="image5.jpg",
ground_truth=fo.Segmentation(mask=np.array([[0, 0], [1, 2]])),
predictions=fo.Segmentation(mask=np.array([[1, 2], [0, 0]])),
)
dataset.add_samples([sample1, sample2, sample3, sample4, sample5])
return dataset
@drop_datasets
def test_evaluate_segmentations_simple(self):
dataset = self._make_segmentation_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_segmentations(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="simple",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
actual = results.confusion_matrix()
self.assertEqual(actual.shape, (0, 0))
#
# Test evaluation (including missing data)
#
with warnings.catch_warnings():
warnings.simplefilter("ignore") # suppress missing masks warning
results = dataset.evaluate_segmentations(
"predictions",
gt_field="ground_truth",
eval_key="eval",
method="simple",
mask_targets={0: "background", 1: "cat", 2: "dog"},
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 4)
# rows = GT, cols = predicted, labels = [background, cat, dog]
actual = results.confusion_matrix()
expected = np.array([[2, 1, 1], [1, 1, 0], [1, 0, 1]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertIn("eval_accuracy", dataset.get_field_schema())
self.assertIn("eval_precision", dataset.get_field_schema())
self.assertIn("eval_recall", dataset.get_field_schema())
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertNotIn("eval_accuracy", dataset.get_field_schema())
self.assertNotIn("eval_precision", dataset.get_field_schema())
self.assertNotIn("eval_recall", dataset.get_field_schema())
class VideoSegmentationTests(unittest.TestCase):
def _make_video_segmentation_dataset(self):
dataset = fo.Dataset()
sample1 = fo.Sample(filepath="video1.mp4")
sample2 = fo.Sample(filepath="video2.mp4")
sample2.frames[1] = fo.Frame()
sample3 = fo.Sample(filepath="video3.mp4")
sample3.frames[1] = fo.Frame(
ground_truth=fo.Segmentation(mask=np.array([[0, 0], [1, 2]])),
predictions=None,
)
sample3.frames[2] = fo.Frame(
ground_truth=None,
predictions=fo.Segmentation(mask=np.array([[0, 0], [1, 2]])),
)
sample4 = fo.Sample(filepath="video4.mp4")
sample4.frames[1] = fo.Frame(
ground_truth=fo.Segmentation(mask=np.array([[0, 0], [1, 2]])),
predictions=fo.Segmentation(mask=np.array([[0, 0], [1, 2]])),
)
sample4.frames[2] = fo.Frame(
ground_truth=fo.Segmentation(mask=np.array([[0, 0], [1, 2]])),
predictions=fo.Segmentation(mask=np.array([[1, 2], [0, 0]])),
)
dataset.add_samples([sample1, sample2, sample3, sample4])
return dataset
@drop_datasets
def test_evaluate_video_segmentations_simple(self):
dataset = self._make_video_segmentation_dataset()
#
# Test empty view
#
empty_view = dataset.limit(0)
self.assertEqual(len(empty_view), 0)
results = empty_view.evaluate_segmentations(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="simple",
)
empty_view.load_evaluation_view("eval")
empty_view.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 0)
actual = results.confusion_matrix()
self.assertEqual(actual.shape, (0, 0))
#
# Test evaluation (including missing data)
#
with warnings.catch_warnings():
warnings.simplefilter("ignore") # suppress missing masks warning
results = dataset.evaluate_segmentations(
"frames.predictions",
gt_field="frames.ground_truth",
eval_key="eval",
method="simple",
mask_targets={0: "background", 1: "cat", 2: "dog"},
)
dataset.load_evaluation_view("eval")
dataset.get_evaluation_info("eval")
results.report()
results.print_report()
metrics = results.metrics()
self.assertEqual(metrics["support"], 4)
# rows = GT, cols = predicted, labels = [background, cat, dog]
actual = results.confusion_matrix()
expected = np.array([[2, 1, 1], [1, 1, 0], [1, 0, 1]], dtype=int)
self.assertEqual(actual.shape, expected.shape)
self.assertTrue((actual == expected).all())
self.assertIn("eval", dataset.list_evaluations())
self.assertIn("eval_accuracy", dataset.get_field_schema())
self.assertIn("eval_accuracy", dataset.get_frame_field_schema())
self.assertIn("eval_precision", dataset.get_field_schema())
self.assertIn("eval_precision", dataset.get_frame_field_schema())
self.assertIn("eval_recall", dataset.get_field_schema())
self.assertIn("eval_recall", dataset.get_frame_field_schema())
dataset.delete_evaluation("eval")
self.assertNotIn("eval", dataset.list_evaluations())
self.assertNotIn("eval_accuracy", dataset.get_field_schema())
self.assertNotIn("eval_accuracy", dataset.get_frame_field_schema())
self.assertNotIn("eval_precision", dataset.get_field_schema())
self.assertNotIn("eval_precision", dataset.get_frame_field_schema())
self.assertNotIn("eval_recall", dataset.get_field_schema())
self.assertNotIn("eval_recall", dataset.get_frame_field_schema())
if __name__ == "__main__":
fo.config.show_progress_bars = False
unittest.main(verbosity=2)
| 33.134177
| 78
| 0.544254
| 6,655
| 65,440
| 5.195943
| 0.031104
| 0.008213
| 0.008155
| 0.051823
| 0.98288
| 0.978195
| 0.969895
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| 0.96041
| 0.953353
| 0
| 0.023532
| 0.321409
| 65,440
| 1,974
| 79
| 33.150963
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| 0.067234
| 0.006718
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|
0
| 7
|
629cbce96b51ae9d0c47568f4b609e4b3955c105
| 64
|
py
|
Python
|
CodeWars/7 Kyu/Binary sXORe.py
|
anubhab-code/Competitive-Programming
|
de28cb7d44044b9e7d8bdb475da61e37c018ac35
|
[
"MIT"
] | null | null | null |
CodeWars/7 Kyu/Binary sXORe.py
|
anubhab-code/Competitive-Programming
|
de28cb7d44044b9e7d8bdb475da61e37c018ac35
|
[
"MIT"
] | null | null | null |
CodeWars/7 Kyu/Binary sXORe.py
|
anubhab-code/Competitive-Programming
|
de28cb7d44044b9e7d8bdb475da61e37c018ac35
|
[
"MIT"
] | null | null | null |
def sxore(n):
return (n * (n % 2 == 0)) + ((n + 1) % 4) // 2
| 32
| 50
| 0.359375
| 12
| 64
| 1.916667
| 0.666667
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| 64
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| 32
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0
| 7
|
62de7fb9d2db0ad9c2ee6c9d78010956c7f7e72d
| 7,752
|
py
|
Python
|
good_robot/None.py
|
ANaka/good_robot
|
f39371ef94a6ddbb50d17acced86ed0b12423a3c
|
[
"Apache-2.0"
] | null | null | null |
good_robot/None.py
|
ANaka/good_robot
|
f39371ef94a6ddbb50d17acced86ed0b12423a3c
|
[
"Apache-2.0"
] | 2
|
2021-09-28T02:00:02.000Z
|
2022-02-26T07:25:42.000Z
|
good_robot/None.py
|
ANaka/good_robot
|
f39371ef94a6ddbb50d17acced86ed0b12423a3c
|
[
"Apache-2.0"
] | null | null | null |
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
# Cell
#export
import bezier
from matplotlib.collections import LineCollection
from matplotlib import pyplot as plt
import numpy as np
from penkit import write, preview
from pathlib import Path
import seaborn as sns
from tqdm import tqdm
from nbdev.showdoc import *
from .gram import *
%load_ext autoreload
%autoreload 2
| 20.135065
| 49
| 0.814241
| 1,152
| 7,752
| 5.458333
| 0.024306
| 0.10687
| 0.061069
| 0.083969
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0.003663
| 0.154799
| 7,752
| 385
| 50
| 20.135065
| 0.956044
| 0.033927
| 0
| 1
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| 0
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| 0
| null | null | 0
| 0.833333
| null | null | 0
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| 1
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0
| 9
|
c55f209df8c907a3b835f3aadca79abe01df8b44
| 32,043
|
py
|
Python
|
plenum/test/consensus/view_change/test_view_change_service.py
|
donqui/indy-plenum
|
ca6e8a3c5b15e35f176a6530ac537efda127213a
|
[
"Apache-2.0"
] | null | null | null |
plenum/test/consensus/view_change/test_view_change_service.py
|
donqui/indy-plenum
|
ca6e8a3c5b15e35f176a6530ac537efda127213a
|
[
"Apache-2.0"
] | null | null | null |
plenum/test/consensus/view_change/test_view_change_service.py
|
donqui/indy-plenum
|
ca6e8a3c5b15e35f176a6530ac537efda127213a
|
[
"Apache-2.0"
] | null | null | null |
import random
import pytest
from unittest.mock import Mock
from plenum.common.messages.internal_messages import NeedViewChange, NewViewAccepted, ViewChangeStarted, \
NewViewCheckpointsApplied, NodeNeedViewChange
from plenum.common.startable import Mode
from plenum.common.util import getMaxFailures
from plenum.server.consensus.primary_selector import RoundRobinConstantNodesPrimariesSelector
from plenum.server.consensus.utils import replica_name_to_node_name
from plenum.server.consensus.view_change_storages import view_change_digest
from plenum.common.messages.node_messages import ViewChange, ViewChangeAck, NewView, Checkpoint, InstanceChange
from plenum.server.consensus.view_change_service import ViewChangeService
from plenum.server.consensus.view_change_trigger_service import ViewChangeTriggerService
from plenum.server.database_manager import DatabaseManager
from plenum.server.replica_helper import generateName
from plenum.server.suspicion_codes import Suspicions
from plenum.test.checkpoints.helper import cp_digest
from plenum.test.consensus.helper import copy_shared_data, check_service_changed_only_owned_fields_in_shared_data, \
create_new_view, create_view_change, create_new_view_from_vc, create_view_change_acks, create_batches
DEFAULT_STABLE_CHKP = 10
@pytest.fixture
def view_change_service_builder(consensus_data, timer, internal_bus, external_bus, stasher, initial_view_no, validators):
def _service(name):
data = consensus_data(name)
data.node_mode = Mode.participating
digest = cp_digest(DEFAULT_STABLE_CHKP)
cp = Checkpoint(instId=0, viewNo=initial_view_no, seqNoStart=0, seqNoEnd=DEFAULT_STABLE_CHKP, digest=digest)
data.checkpoints.append(cp)
ViewChangeTriggerService(data=data,
timer=timer,
bus=internal_bus,
network=external_bus,
db_manager=DatabaseManager(),
stasher=stasher,
is_master_degraded=lambda: False)
primaries_selector = RoundRobinConstantNodesPrimariesSelector(validators)
service = ViewChangeService(data, timer, internal_bus, external_bus, stasher, primaries_selector)
return service
return _service
@pytest.fixture
def view_change_acks(validators, random):
def _view_change_acks(vc, vc_frm, primary, count):
digest = view_change_digest(vc)
non_senders = [name for name in validators if name not in [vc_frm, primary]]
ack_frms = random.sample(non_senders, count)
return [(ViewChangeAck(viewNo=vc.viewNo, name=vc_frm, digest=digest), ack_frm) for ack_frm in ack_frms]
return _view_change_acks
@pytest.fixture
def view_change_service(view_change_service_builder, validators, some_item):
return view_change_service_builder(some_item(validators))
def test_updates_shared_data_on_need_view_change(internal_bus, view_change_service, initial_view_no, is_master):
old_primary = view_change_service._data.primary_name
old_primaries = view_change_service._data.primaries
old_data = copy_shared_data(view_change_service._data)
internal_bus.send(NeedViewChange())
assert view_change_service._data.view_no == initial_view_no + 1
assert view_change_service._data.waiting_for_new_view
assert view_change_service._data.primary_name != old_primary
assert view_change_service._data.primaries != old_primaries
new_data = copy_shared_data(view_change_service._data)
check_service_changed_only_owned_fields_in_shared_data(ViewChangeService, old_data, new_data)
old_primary = view_change_service._data.primary_name
old_primaries = view_change_service._data.primaries
old_data = copy_shared_data(view_change_service._data)
internal_bus.send(NeedViewChange(view_no=initial_view_no + 3))
assert view_change_service._data.view_no == initial_view_no + 3
assert view_change_service._data.waiting_for_new_view
assert view_change_service._data.primary_name != old_primary
assert view_change_service._data.primaries != old_primaries
new_data = copy_shared_data(view_change_service._data)
check_service_changed_only_owned_fields_in_shared_data(ViewChangeService, old_data, new_data)
def test_do_nothing_on_view_change_started(internal_bus, view_change_service):
view_change_service._data.waiting_for_new_view = False
view_change_service._data.view_no = 1
view_change_service._data.primary_name = "Alpha"
view_change_service._data.primaries = ["Alpha", "Beta"]
old_data = copy_shared_data(view_change_service._data)
internal_bus.send(ViewChangeStarted(view_no=4))
new_data = copy_shared_data(view_change_service._data)
assert old_data == new_data
def test_update_shared_data_on_new_view_accepted(internal_bus, view_change_service, is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
view_change_service._data.waiting_for_new_view = False
view_change_service._data.view_no = 1
view_change_service._data.primary_name = "Alpha"
view_change_service._data.primaries = ["Alpha", "Beta"]
view_change_service._data.prev_view_prepare_cert = 1
old_data = copy_shared_data(view_change_service._data)
new_view = create_new_view(initial_view_no=3, stable_cp=200)
internal_bus.send(NewViewAccepted(view_no=4,
view_changes=new_view.viewChanges,
checkpoint=new_view.checkpoint,
batches=new_view.batches))
new_data = copy_shared_data(view_change_service._data)
# For now prev_view_prepare_cert is set on finish_view_change stage
assert view_change_service._data.prev_view_prepare_cert == 1
check_service_changed_only_owned_fields_in_shared_data(ViewChangeService, old_data, new_data)
def test_setup_prev_view_prepare_cert_on_vc_finished(internal_bus, view_change_service, is_master):
if not is_master:
return
view_change_service._data.waiting_for_new_view = True
view_change_service._data.prev_view_prepare_cert = 1
new_view = create_new_view(initial_view_no=3, stable_cp=200)
view_change_service._data.new_view = new_view
view_change_service._finish_view_change()
assert view_change_service._data.prev_view_prepare_cert == new_view.batches[-1].pp_seq_no
assert not view_change_service._data.waiting_for_new_view
def test_update_shared_data_on_new_view_accepted_no_batches(internal_bus, view_change_service, is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
view_change_service._data.waiting_for_new_view = False
view_change_service._data.view_no = 1
view_change_service._data.primary_name = "Alpha"
view_change_service._data.primaries = ["Alpha", "Beta"]
view_change_service._data.prev_view_prepare_cert = 1
old_data = copy_shared_data(view_change_service._data)
new_view = create_new_view(initial_view_no=3, stable_cp=200, batches=[])
internal_bus.send(NewViewAccepted(view_no=4,
view_changes=new_view.viewChanges,
checkpoint=new_view.checkpoint,
batches=new_view.batches))
new_data = copy_shared_data(view_change_service._data)
# For now prev_view_prepare_cert is set on finish_view_change stage
assert view_change_service._data.prev_view_prepare_cert == 1
check_service_changed_only_owned_fields_in_shared_data(ViewChangeService, old_data, new_data)
def test_do_nothing_on_new_view_checkpoint_applied(internal_bus, view_change_service):
view_change_service._data.waiting_for_new_view = False
view_change_service._data.view_no = 1
view_change_service._data.primary_name = "Alpha"
view_change_service._data.primaries = ["Alpha", "Beta"]
old_data = copy_shared_data(view_change_service._data)
new_view = create_new_view(initial_view_no=3, stable_cp=200)
internal_bus.send(NewViewCheckpointsApplied(view_no=4,
view_changes=new_view.viewChanges,
checkpoint=new_view.checkpoint,
batches=new_view.batches))
new_data = copy_shared_data(view_change_service._data)
assert old_data == new_data
def test_start_view_change_sends_view_change_started(internal_bus, view_change_service, initial_view_no, is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
handler = Mock()
internal_bus.subscribe(ViewChangeStarted, handler)
internal_bus.send(NeedViewChange())
handler.assert_called_once_with(ViewChangeStarted(view_no=initial_view_no + 1))
internal_bus.send(NeedViewChange(view_no=5))
handler.assert_called_with(ViewChangeStarted(view_no=5))
def test_start_view_change_broadcasts_view_change_message(internal_bus, external_bus, view_change_service,
initial_view_no, is_master):
internal_bus.send(NeedViewChange())
if is_master:
assert len(external_bus.sent_messages) == 1
msg, dst = external_bus.sent_messages[0]
assert dst is None # message was broadcast
assert isinstance(msg, ViewChange)
assert msg.viewNo == initial_view_no + 1
assert msg.stableCheckpoint == view_change_service._data.stable_checkpoint
else:
assert len(external_bus.sent_messages) == 0
def test_non_primary_responds_to_view_change_message_with_view_change_ack_to_new_primary(
internal_bus, external_bus, some_item, other_item, validators, primary, view_change_service_builder,
initial_view_no, is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
next_view_no = initial_view_no + 1
non_primary_name = some_item(validators, exclude=[primary(next_view_no)])
service = view_change_service_builder(non_primary_name)
internal_bus.send(NeedViewChange())
external_bus.sent_messages.clear()
vc = create_view_change(initial_view_no)
frm = other_item(validators, exclude=[non_primary_name])
external_bus.process_incoming(vc, generateName(frm, service._data.inst_id))
assert len(external_bus.sent_messages) == 1
msg, dst = external_bus.sent_messages[0]
assert dst == [replica_name_to_node_name(service._data.primary_name)]
assert isinstance(msg, ViewChangeAck)
assert msg.viewNo == vc.viewNo
assert msg.name == frm
assert msg.digest == view_change_digest(vc)
def test_primary_doesnt_respond_to_view_change_message(
some_item, validators, primary, external_bus, view_change_service_builder, initial_view_no,
view_change_message, is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
name = primary(initial_view_no + 1)
service = view_change_service_builder(name)
vc = create_view_change(initial_view_no)
frm = some_item(validators, exclude=[name])
external_bus.process_incoming(vc, generateName(frm, service._data.inst_id))
assert len(external_bus.sent_messages) == 0
def test_new_view_message_is_sent_by_primary_when_view_change_certificate_is_reached(
internal_bus, external_bus, validators, primary, view_change_service_builder, initial_view_no,
view_change_acks, is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
primary_name = primary(initial_view_no + 1)
service = view_change_service_builder(primary_name)
# start view change
internal_bus.send(NeedViewChange())
external_bus.sent_messages.clear()
# receive quorum of ViewChanges and ViewChangeAcks
non_primaries = [item for item in validators if item != primary_name]
vc = create_view_change(initial_view_no)
for vc_frm in non_primaries:
external_bus.process_incoming(vc, generateName(vc_frm, service._data.inst_id))
for ack, ack_frm in view_change_acks(vc, vc_frm, primary_name, len(validators) - 2):
external_bus.process_incoming(ack, generateName(ack_frm, service._data.inst_id))
# check that NewView has been sent
assert len(external_bus.sent_messages) == 1
msg, dst = external_bus.sent_messages[0]
assert dst is None # message was broadcast
assert isinstance(msg, NewView)
assert msg.viewNo == initial_view_no + 1
def test_new_view_message_is_not_sent_by_non_primary_when_view_change_certificate_is_reached(
internal_bus, external_bus, validators, primary, view_change_service_builder, initial_view_no, some_item,
is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
next_view_no = initial_view_no + 1
primary_name = primary(next_view_no)
non_primary_name = some_item(validators, exclude=[primary_name])
service = view_change_service_builder(non_primary_name)
# start view change
internal_bus.send(NeedViewChange())
external_bus.sent_messages.clear()
# receive quorum of ViewChanges and ViewChangeAcks
non_primaries = [item for item in validators if item != primary_name]
vc = create_view_change(initial_view_no)
for vc_frm in non_primaries:
external_bus.process_incoming(vc, generateName(vc_frm, service._data.inst_id))
for ack, ack_frm in create_view_change_acks(vc, vc_frm, non_primaries):
external_bus.process_incoming(ack, generateName(ack_frm, service._data.inst_id))
# check that NewView hasn't been sent
assert all(not isinstance(msg, NewView) for msg in external_bus.sent_messages)
def test_view_change_finished_is_sent_by_primary_once_view_change_certificate_is_reached(internal_bus, external_bus,
validators,
primary,
view_change_service_builder,
initial_view_no, is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
handler = Mock()
internal_bus.subscribe(NewViewAccepted, handler)
primary_name = primary(initial_view_no + 1)
service = view_change_service_builder(primary_name)
# start view change
internal_bus.send(NeedViewChange())
external_bus.sent_messages.clear()
old_data = copy_shared_data(service._data)
# receive quorum of ViewChanges and ViewChangeAcks
non_primaries = [item for item in validators if item != primary_name]
non_primaries = random.sample(non_primaries, service._data.quorums.view_change.value)
vc = create_view_change(initial_view_no)
new_view = create_new_view_from_vc(vc, non_primaries)
for vc_frm in non_primaries:
external_bus.process_incoming(vc, generateName(vc_frm, service._data.inst_id))
for ack, ack_frm in create_view_change_acks(vc, vc_frm, non_primaries):
external_bus.process_incoming(ack, generateName(ack_frm, service._data.inst_id))
# check that NewViewAccepted has been sent
expected_finish_vc = NewViewAccepted(view_no=initial_view_no + 1,
view_changes=new_view.viewChanges,
checkpoint=new_view.checkpoint,
batches=new_view.batches)
handler.assert_called_with(expected_finish_vc)
# check that shared data is updated
new_data = copy_shared_data(service._data)
check_service_changed_only_owned_fields_in_shared_data(ViewChangeService, old_data, new_data)
assert service._data.view_no == initial_view_no + 1
assert not service._data.waiting_for_new_view
def test_view_change_finished_is_sent_by_non_primary_once_view_change_certificate_is_reached_and_new_view_from_primary(
internal_bus, external_bus, validators, primary, view_change_service_builder, initial_view_no, some_item,
is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
handler = Mock()
internal_bus.subscribe(NewViewAccepted, handler)
next_view_no = initial_view_no + 1
primary_name = primary(next_view_no)
non_primary_name = some_item(validators, exclude=[primary_name])
service = view_change_service_builder(non_primary_name)
vc = create_view_change(initial_view_no)
service._data.preprepared = vc.preprepared
service._data.prepared = vc.prepared
service._data.stable_checkpoint = vc.stableCheckpoint
service._data.checkpoints = vc.checkpoints
old_data = copy_shared_data(service._data)
# start view change
internal_bus.send(NeedViewChange())
external_bus.sent_messages.clear()
# receive quorum of ViewChanges and ViewChangeAcks
non_primaries = [item for item in validators if item != primary_name]
non_primaries = random.sample(non_primaries, service._data.quorums.view_change.value)
new_view = create_new_view_from_vc(vc, non_primaries)
for vc_frm in non_primaries:
external_bus.process_incoming(vc, generateName(vc_frm, service._data.inst_id))
for ack, ack_frm in create_view_change_acks(vc, vc_frm, non_primaries):
external_bus.process_incoming(ack, generateName(ack_frm, service._data.inst_id))
# check that NewViewAccepted hasn't been sent if NewView is from non-primary
external_bus.process_incoming(new_view, generateName(non_primary_name, service._data.inst_id))
handler.assert_not_called()
assert service._data.view_no == initial_view_no + 1
assert service._data.waiting_for_new_view
# check that NewViewAccepted has been sent if NewView is from primary
external_bus.process_incoming(new_view, generateName(primary_name, service._data.inst_id))
expected_finish_vc = NewViewAccepted(view_no=initial_view_no + 1,
view_changes=new_view.viewChanges,
checkpoint=new_view.checkpoint,
batches=new_view.batches)
handler.assert_called_with(expected_finish_vc)
# check that shared data is updated
new_data = copy_shared_data(service._data)
check_service_changed_only_owned_fields_in_shared_data(ViewChangeService, old_data, new_data)
assert service._data.view_no == initial_view_no + 1
assert not service._data.waiting_for_new_view
def test_send_instance_change_on_new_view_with_incorrect_checkpoint(internal_bus, external_bus, validators, primary,
view_change_service_builder,
initial_view_no,
some_item, is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
next_view_no = initial_view_no + 1
primary_name = primary(next_view_no)
non_primary_name = some_item(validators, exclude=[primary_name])
service = view_change_service_builder(non_primary_name)
vc = create_view_change(initial_view_no)
service._data.preprepared = vc.preprepared
service._data.prepared = vc.prepared
service._data.stable_checkpoint = vc.stableCheckpoint
service._data.checkpoints = vc.checkpoints
# start view change
internal_bus.send(NeedViewChange())
external_bus.sent_messages.clear()
# receive quorum of ViewChanges and ViewChangeAcks
non_primaries = [item for item in validators if item != primary_name]
non_primaries = random.sample(non_primaries, service._data.quorums.view_change.value)
for vc_frm in non_primaries:
external_bus.process_incoming(vc, generateName(vc_frm, service._data.inst_id))
for ack, ack_frm in create_view_change_acks(vc, vc_frm, non_primaries):
external_bus.process_incoming(ack, generateName(ack_frm, service._data.inst_id))
cp = Checkpoint(instId=0, viewNo=initial_view_no, seqNoStart=0, seqNoEnd=1000, digest=cp_digest(1000))
new_view = create_new_view_from_vc(vc, non_primaries, checkpoint=cp)
# send NewView by Primary
init_network_msg_count = len(external_bus.sent_messages)
external_bus.process_incoming(new_view, generateName(primary_name, service._data.inst_id))
# we don't go to new view, just send Instance Change
assert service._data.view_no == initial_view_no + 1
assert init_network_msg_count + 1 == len(external_bus.sent_messages)
msg, dst = external_bus.sent_messages[-1]
assert dst is None # broadcast
assert isinstance(msg, InstanceChange)
assert msg.viewNo == initial_view_no + 2
assert msg.reason == Suspicions.NEW_VIEW_INVALID_CHECKPOINTS.code
def test_send_instance_change_on_new_view_with_incorrect_batches(internal_bus, external_bus, validators, primary,
view_change_service_builder,
initial_view_no,
some_item, is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
next_view_no = initial_view_no + 1
primary_name = primary(next_view_no)
non_primary_name = some_item(validators, exclude=[primary_name])
service = view_change_service_builder(non_primary_name)
vc = create_view_change(initial_view_no)
service._data.preprepared = vc.preprepared
service._data.prepared = vc.prepared
service._data.stable_checkpoint = vc.stableCheckpoint
service._data.checkpoints = vc.checkpoints
# start view change
internal_bus.send(NeedViewChange())
external_bus.sent_messages.clear()
# receive quorum of ViewChanges and ViewChangeAcks
non_primaries = [item for item in validators if item != primary_name]
non_primaries = random.sample(non_primaries, service._data.quorums.view_change.value)
for vc_frm in non_primaries:
external_bus.process_incoming(vc, generateName(vc_frm, service._data.inst_id))
for ack, ack_frm in create_view_change_acks(vc, vc_frm, non_primaries):
external_bus.process_incoming(ack, generateName(ack_frm, service._data.inst_id))
new_view = create_new_view_from_vc(vc, non_primaries, batches=create_batches(view_no=initial_view_no + 2))
# send NewView by Primary
init_network_msg_count = len(external_bus.sent_messages)
external_bus.process_incoming(new_view, generateName(primary_name, service._data.inst_id))
# we don't go to new view, just send Instance Change
assert service._data.view_no == initial_view_no + 1
assert init_network_msg_count + 1 == len(external_bus.sent_messages)
msg, dst = external_bus.sent_messages[-1]
assert dst is None # broadcast
assert isinstance(msg, InstanceChange)
assert msg.viewNo == initial_view_no + 2
assert msg.reason == Suspicions.NEW_VIEW_INVALID_BATCHES.code
def test_send_instance_change_on_timeout_no_new_view_received(internal_bus, external_bus,
view_change_service, timer,
initial_view_no, is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
internal_bus.send(NeedViewChange())
init_network_msg_count = len(external_bus.sent_messages)
timer.sleep(view_change_service._config.NEW_VIEW_TIMEOUT - 1)
assert view_change_service._data.view_no == initial_view_no + 1
assert init_network_msg_count == len(external_bus.sent_messages)
timer.sleep(2)
# we don't go to new view, just send Instance Change
assert view_change_service._data.view_no == initial_view_no + 1
assert init_network_msg_count + 1 == len(external_bus.sent_messages)
msg, dst = external_bus.sent_messages[-1]
assert dst is None # broadcast
assert isinstance(msg, InstanceChange)
assert msg.viewNo == initial_view_no + 2
assert msg.reason == Suspicions.INSTANCE_CHANGE_TIMEOUT.code
timer.sleep(view_change_service._config.NEW_VIEW_TIMEOUT + 1)
# we don't go to new view, just send Instance Change
assert view_change_service._data.view_no == initial_view_no + 1
assert init_network_msg_count + 2 == len(external_bus.sent_messages)
msg, dst = external_bus.sent_messages[-1]
assert dst is None # broadcast
assert isinstance(msg, InstanceChange)
assert msg.viewNo == initial_view_no + 2
assert msg.reason == Suspicions.INSTANCE_CHANGE_TIMEOUT.code
def test_send_instance_change_on_timeout_when_new_view_received_but_not_processed(internal_bus, external_bus, timer,
view_change_service, initial_view_no,
is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
internal_bus.send(NeedViewChange())
init_network_msg_count = len(external_bus.sent_messages)
new_view = create_new_view(initial_view_no=0, stable_cp=200)
external_bus.process_incoming(new_view, view_change_service._data.primary_name)
timer.sleep(view_change_service._config.NEW_VIEW_TIMEOUT + 1)
# we don't go to new view, just send Instance Change
assert view_change_service._data.view_no == initial_view_no + 1
assert init_network_msg_count + 1 == len(external_bus.sent_messages)
msg, dst = external_bus.sent_messages[-1]
assert dst is None # broadcast
assert isinstance(msg, InstanceChange)
assert msg.viewNo == initial_view_no + 2
assert msg.reason == Suspicions.INSTANCE_CHANGE_TIMEOUT.code
def test_do_not_send_instance_change_on_timeout_when_view_change_finished_on_time(internal_bus, external_bus,
validators,
primary, view_change_service_builder,
timer,
initial_view_no,
is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
primary_name = primary(initial_view_no + 1)
service = view_change_service_builder(primary_name)
# start view change
internal_bus.send(NeedViewChange())
external_bus.sent_messages.clear()
# receive quorum of ViewChanges and ViewChangeAcks
non_primaries = [item for item in validators if item != primary_name]
vc = create_view_change(initial_view_no)
for vc_frm in non_primaries:
external_bus.process_incoming(vc, generateName(vc_frm, service._data.inst_id))
for ack, ack_frm in create_view_change_acks(vc, vc_frm, non_primaries):
external_bus.process_incoming(ack, generateName(ack_frm, service._data.inst_id))
# check that view change is finished
assert service._data.view_no == initial_view_no + 1
assert not service._data.waiting_for_new_view
assert len(external_bus.sent_messages) == 1
msg, dst = external_bus.sent_messages[0]
assert isinstance(msg, NewView)
# make sure view change hasn't been started again
timer.sleep(service._config.NEW_VIEW_TIMEOUT + 1)
assert service._data.view_no == initial_view_no + 1
assert len(external_bus.sent_messages) == 1
msg, dst = external_bus.sent_messages[0]
assert isinstance(msg, NewView)
def test_do_not_send_instance_change_on_timeout_when_multiple_view_change_finished_on_time(internal_bus, external_bus,
validators,
primary,
view_change_service_builder,
timer,
initial_view_no,
is_master):
# TODO: Need to decide on how we handle this case
if not is_master:
return
primary_name = primary(initial_view_no + 2)
service = view_change_service_builder(primary_name)
# start first view change
internal_bus.send(NeedViewChange())
# start second view change
internal_bus.send(NeedViewChange())
external_bus.sent_messages.clear()
# receive quorum of ViewChanges and ViewChangeAcks
non_primaries = [item for item in validators if item != primary_name]
vc = create_view_change(initial_view_no + 1)
service._data.checkpoints.append(Checkpoint(instId=0,
viewNo=initial_view_no + 1,
seqNoStart=0,
seqNoEnd=DEFAULT_STABLE_CHKP,
digest=cp_digest(DEFAULT_STABLE_CHKP)))
for vc_frm in non_primaries:
external_bus.process_incoming(vc, generateName(vc_frm, service._data.inst_id))
for ack, ack_frm in create_view_change_acks(vc, vc_frm, non_primaries):
external_bus.process_incoming(ack, generateName(ack_frm, service._data.inst_id))
# check that view change is finished
assert service._data.view_no == initial_view_no + 2
assert not service._data.waiting_for_new_view
assert len(external_bus.sent_messages) == 1
msg, dst = external_bus.sent_messages[0]
assert isinstance(msg, NewView)
# make sure view change hasn't been started again
timer.sleep(service._config.NEW_VIEW_TIMEOUT + 1)
assert service._data.view_no == initial_view_no + 2
assert len(external_bus.sent_messages) == 1
msg, dst = external_bus.sent_messages[0]
assert isinstance(msg, NewView)
def test_start_vc_by_quorum_of_vc_msgs(view_change_service_builder,
internal_bus,
external_bus,
validators,
is_master):
nnvc_queue = []
def nnvc_handler(msg: NodeNeedViewChange):
nnvc_queue.append(msg)
internal_bus.subscribe(NodeNeedViewChange, nnvc_handler)
# Quorum for ViewChange message is N-f
service = view_change_service_builder(validators[0])
proposed_view_no = 10
f = getMaxFailures(len(validators))
# Append N-f-1 ViewChange msgs to view_change_votes
for validator in validators[1:-f]:
msg = ViewChange(proposed_view_no, 0, [], [], [])
service.process_view_change_message(msg, validator)
# N-f-1 msgs is not enough for triggering view_change
assert not nnvc_queue
# Process the other one message
service.process_view_change_message(ViewChange(proposed_view_no, 0, [], [], []), validators[-1])
if is_master:
assert nnvc_queue
assert isinstance(nnvc_queue[0], NodeNeedViewChange)
assert nnvc_queue[0].view_no == proposed_view_no
else:
# ViewChange message isn't processed on backups
assert not nnvc_queue
| 46.641921
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| null | 0
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0
| 7
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c56538caf911733f83d5f431a8002d763e7b316f
| 38,927
|
py
|
Python
|
boa3_test/tests/compiler_tests/test_list.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | null | null | null |
boa3_test/tests/compiler_tests/test_list.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | null | null | null |
boa3_test/tests/compiler_tests/test_list.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | null | null | null |
import unittest
from boa3.boa3 import Boa3
from boa3.exception import CompilerError, CompilerWarning
from boa3.model.type.type import Type
from boa3.neo.vm.opcode.Opcode import Opcode
from boa3.neo.vm.type.Integer import Integer
from boa3.neo.vm.type.String import String
from boa3_test.tests.boa_test import BoaTest
from boa3_test.tests.test_classes.TestExecutionException import TestExecutionException
from boa3_test.tests.test_classes.testengine import TestEngine
class TestList(BoaTest):
default_folder: str = 'test_sc/list_test'
def test_list_int_values(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH3 # a = [1, 2, 3]
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH3 # array length
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # return a
+ Opcode.RET
)
path = self.get_contract_path('IntList.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_string_values(self):
byte_input0 = String('1').to_bytes()
byte_input1 = String('2').to_bytes()
byte_input2 = String('3').to_bytes()
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSHDATA1 # a = ['1', '2', '3']
+ Integer(len(byte_input2)).to_byte_array() # '3'
+ byte_input2
+ Opcode.PUSHDATA1
+ Integer(len(byte_input1)).to_byte_array() # '2'
+ byte_input1
+ Opcode.PUSHDATA1
+ Integer(len(byte_input0)).to_byte_array() # '1'
+ byte_input0
+ Opcode.PUSH3 # array length
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.RET # return
)
path = self.get_contract_path('StrList.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_bool_values(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH0 # a = [True, True, False]
+ Opcode.PUSH1
+ Opcode.PUSH1
+ Opcode.PUSH3 # array length
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.RET # return
)
path = self.get_contract_path('BoolList.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_variable_values(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x04'
+ b'\x00'
+ Opcode.PUSH1 # a = 1
+ Opcode.STLOC0
+ Opcode.PUSH2 # b = 2
+ Opcode.STLOC1
+ Opcode.PUSH3 # c = 3
+ Opcode.STLOC2
+ Opcode.PUSH3 # d = [a, b, c]
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH3 # array length
+ Opcode.PACK
+ Opcode.STLOC3
+ Opcode.RET # return
)
path = self.get_contract_path('VariableList.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_non_sequence_get_value(self):
path = self.get_contract_path('MismatchedTypeGetValue.py')
self.assertCompilerLogs(CompilerError.UnresolvedOperation, path)
def test_list_get_value(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x00'
+ b'\x01'
+ Opcode.LDARG0 # arg[0]
+ Opcode.PUSH0
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.PICKITEM
+ Opcode.RET # return
)
path = self.get_contract_path('GetValue.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main', [1, 2, 3, 4])
self.assertEqual(1, result)
result = self.run_smart_contract(engine, path, 'Main', [5, 3, 2])
self.assertEqual(5, result)
with self.assertRaises(TestExecutionException, msg=self.VALUE_IS_OUT_OF_RANGE_MSG):
self.run_smart_contract(engine, path, 'Main', [])
def test_list_get_value_with_negative_index(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x00'
+ b'\x01'
+ Opcode.LDARG0 # arg[-1]
+ Opcode.PUSHM1
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.PICKITEM
+ Opcode.RET # return
)
path = self.get_contract_path('GetValueNegativeIndex.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main', [1, 2, 3, 4])
self.assertEqual(4, result)
result = self.run_smart_contract(engine, path, 'Main', [5, 3, 2])
self.assertEqual(2, result)
with self.assertRaises(TestExecutionException, msg=self.VALUE_IS_OUT_OF_RANGE_MSG):
self.run_smart_contract(engine, path, 'Main', [])
def test_list_type_hint(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH3 # a = [1, 2, 3]
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH3 # list length
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.RET # return
)
path = self.get_contract_path('TypeHintAssignment.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_assign_empty_list(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.NEWARRAY0
+ Opcode.STLOC0
+ Opcode.RET # return
)
path = self.get_contract_path('EmptyListAssignment.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_set_value(self):
path = self.get_contract_path('SetValue.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main', [1, 2, 3, 4])
self.assertEqual([1, 2, 3, 4], result)
result = self.run_smart_contract(engine, path, 'Main', [5, 3, 2])
self.assertEqual([1, 3, 2], result)
with self.assertRaises(TestExecutionException, msg=self.VALUE_IS_OUT_OF_RANGE_MSG):
self.run_smart_contract(engine, path, 'Main', [])
def test_list_set_value_with_negative_index(self):
path = self.get_contract_path('SetValueNegativeIndex.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main', [1, 2, 3, 4])
self.assertEqual([1, 2, 3, 1], result)
result = self.run_smart_contract(engine, path, 'Main', [5, 3, 2])
self.assertEqual([5, 3, 1], result)
with self.assertRaises(TestExecutionException, msg=self.VALUE_IS_OUT_OF_RANGE_MSG):
self.run_smart_contract(engine, path, 'Main', [])
def test_non_sequence_set_value(self):
path = self.get_contract_path('MismatchedTypeSetValue.py')
self.assertCompilerLogs(CompilerError.UnresolvedOperation, path)
def test_list_index_mismatched_type(self):
path = self.get_contract_path('MismatchedTypeListIndex.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
def test_array_boa2_test1(self):
path = self.get_contract_path('ArrayBoa2Test1.py')
Boa3.compile(path)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main',
expected_result_type=bool)
self.assertEqual(True, result)
def test_boa2_array_test(self):
path = self.get_contract_path('ArrayBoa2Test.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'main', 0)
self.assertEqual(1, result)
result = self.run_smart_contract(engine, path, 'main', 1)
self.assertEqual(6, result)
result = self.run_smart_contract(engine, path, 'main', 2)
self.assertEqual(3, result)
result = self.run_smart_contract(engine, path, 'main', 4)
self.assertEqual(8, result)
result = self.run_smart_contract(engine, path, 'main', 8)
self.assertEqual(9, result)
def test_boa2_array_test2(self):
path = self.get_contract_path('ArrayBoa2Test2.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'main')
self.assertEqual(b'\xa0', result)
def test_boa2_array_test3(self):
path = self.get_contract_path('ArrayBoa2Test3.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'main')
self.assertEqual([1, 2, 3], result)
@unittest.skip("get values from inner arrays is not working as expected")
def test_list_of_list(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x00'
+ b'\x01'
+ Opcode.LDARG0 # arg[0][0]
+ Opcode.PUSH0
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.PICKITEM
+ Opcode.PUSH0
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.PICKITEM
+ Opcode.RET # return
)
path = self.get_contract_path('ListOfList.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main', [[1, 2], [3, 4]])
self.assertEqual(1, result)
with self.assertRaises(TestExecutionException, msg=self.VALUE_IS_OUT_OF_RANGE_MSG):
self.run_smart_contract(engine, path, 'Main', [])
with self.assertRaises(TestExecutionException, msg=self.VALUE_IS_OUT_OF_RANGE_MSG):
self.run_smart_contract(engine, path, 'Main', [[], [1, 2], [3, 4]])
def test_nep5_main(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x00'
+ b'\x02'
+ Opcode.LDARG1 # args[0]
+ Opcode.PUSH0
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.PICKITEM
+ Opcode.RET # return
)
path = self.get_contract_path('Nep5Main.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main', 'op', [1, 2, 3, 4])
self.assertEqual(1, result)
result = self.run_smart_contract(engine, path, 'Main', 'op', ['a', False])
self.assertEqual('a', result)
with self.assertRaises(TestExecutionException, msg=self.VALUE_IS_OUT_OF_RANGE_MSG):
self.run_smart_contract(engine, path, 'Main', 'op', [])
def test_boa2_demo1(self):
path = self.get_contract_path('Demo1Boa2.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'main', 'add', 1, 3)
self.assertEqual(7, result)
result = self.run_smart_contract(engine, path, 'main', 'add', 2, 3)
self.assertEqual(8, result)
# region TestSlicing
def test_list_slicing(self):
path = self.get_contract_path('ListSlicingLiteralValues.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([2], result)
def test_list_slicing_start_larger_than_ending(self):
path = self.get_contract_path('ListSlicingStartLargerThanEnding.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([], result)
def test_list_slicing_with_variables(self):
path = self.get_contract_path('ListSlicingVariableValues.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([2], result)
def test_list_slicing_negative_start(self):
path = self.get_contract_path('ListSlicingNegativeStart.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([2, 3, 4, 5], result)
def test_list_slicing_negative_end(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH5 # a = [0, 1, 2, 3, 4, 5]
+ Opcode.PUSH4
+ Opcode.PUSH3
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH0
+ Opcode.PUSH6
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # return a[:-4]
+ Opcode.PUSH4
+ Opcode.NEGATE # slice end
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.PUSH0
+ Opcode.SWAP
+ Opcode.NEWARRAY0 # slice
+ Opcode.PUSH2
+ Opcode.PICK # index
+ Opcode.JMP # while index < end
+ Integer(32).to_byte_array(min_length=1)
+ Opcode.DUP # if index >= slice start
+ Opcode.PUSH4
+ Opcode.PICK
+ Opcode.GE
+ Opcode.JMPIFNOT
+ Integer(25).to_byte_array(min_length=1)
+ Opcode.OVER # slice.append(array[index])
+ Opcode.PUSH5
+ Opcode.PICK
+ Opcode.PUSH2
+ Opcode.PICK
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.PICKITEM
+ Opcode.OVER
+ Opcode.ISTYPE
+ Type.bytearray.stack_item
+ Opcode.JMPIFNOT
+ Integer(5).to_byte_array(signed=True, min_length=1)
+ Opcode.CAT
+ Opcode.JMP
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.APPEND
+ Opcode.INC # index += 1
+ Opcode.DUP
+ Opcode.PUSH3
+ Opcode.PICK
+ Opcode.LT
+ Opcode.JMPIF # end while index < slice end
+ Integer(-34).to_byte_array(min_length=1)
+ Opcode.DROP
+ Opcode.REVERSE4
+ Opcode.DROP
+ Opcode.DROP
+ Opcode.DROP
+ Opcode.RET # return
)
path = self.get_contract_path('ListSlicingNegativeEnd.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([0, 1], result)
def test_list_slicing_start_omitted(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH5 # a = [0, 1, 2, 3, 4, 5]
+ Opcode.PUSH4
+ Opcode.PUSH3
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH0
+ Opcode.PUSH6
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # return a[:3]
+ Opcode.PUSH3 # slice end
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.PUSH0
+ Opcode.SWAP
+ Opcode.NEWARRAY0 # slice
+ Opcode.PUSH2
+ Opcode.PICK # index
+ Opcode.JMP # while index < end
+ Integer(32).to_byte_array(min_length=1)
+ Opcode.DUP # if index >= slice start
+ Opcode.PUSH4
+ Opcode.PICK
+ Opcode.GE
+ Opcode.JMPIFNOT
+ Integer(25).to_byte_array(min_length=1)
+ Opcode.OVER # slice.append(array[index])
+ Opcode.PUSH5
+ Opcode.PICK
+ Opcode.PUSH2
+ Opcode.PICK
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.PICKITEM
+ Opcode.OVER
+ Opcode.ISTYPE
+ Type.bytearray.stack_item
+ Opcode.JMPIFNOT
+ Integer(5).to_byte_array(signed=True, min_length=1)
+ Opcode.CAT
+ Opcode.JMP
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.APPEND
+ Opcode.INC # index += 1
+ Opcode.DUP
+ Opcode.PUSH3
+ Opcode.PICK
+ Opcode.LT
+ Opcode.JMPIF # end while index < slice end
+ Integer(-34).to_byte_array(min_length=1)
+ Opcode.DROP
+ Opcode.REVERSE4
+ Opcode.DROP
+ Opcode.DROP
+ Opcode.DROP
+ Opcode.RET # return
)
path = self.get_contract_path('ListSlicingStartOmitted.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([0, 1, 2], result)
def test_list_slicing_omitted(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH5 # a = [0, 1, 2, 3, 4, 5]
+ Opcode.PUSH4
+ Opcode.PUSH3
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH0
+ Opcode.PUSH6
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # return a[:]
+ Opcode.UNPACK
+ Opcode.PACK
+ Opcode.RET # return
)
path = self.get_contract_path('ListSlicingOmitted.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([0, 1, 2, 3, 4, 5], result)
def test_list_slicing_end_omitted(self):
path = self.get_contract_path('ListSlicingEndOmitted.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([2, 3, 4, 5], result)
def test_list_slicing_omitted_stride(self):
path = self.get_contract_path('ListSlicingWithStride.py')
self.assertCompilerLogs(CompilerError.InternalError, path)
def test_list_slicing_omitted_with_stride(self):
path = self.get_contract_path('ListSlicingOmittedWithStride.py')
self.assertCompilerLogs(CompilerError.InternalError, path)
# endregion
# region TestAppend
def test_list_append_int_value(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH3 # a = [1, 2, 3]
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH3
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # a.append(4)
+ Opcode.PUSH4
+ Opcode.OVER
+ Opcode.ISTYPE
+ Type.bytearray.stack_item
+ Opcode.JMPIFNOT
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.CAT
+ Opcode.JMP
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.APPEND
+ Opcode.JMP
+ Integer(3).to_byte_array(min_length=1)
+ Opcode.STLOC0
+ Opcode.LDLOC0 # return a
+ Opcode.RET
)
path = self.get_contract_path('AppendIntValue.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([1, 2, 3, 4], result)
def test_list_append_any_value(self):
four = String('4').to_bytes(min_length=1)
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH3 # a = [1, 2, 3]
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH3
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # a.append(4)
+ Opcode.PUSHDATA1
+ Integer(len(four)).to_byte_array()
+ four
+ Opcode.OVER
+ Opcode.ISTYPE
+ Type.bytearray.stack_item
+ Opcode.JMPIFNOT
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.CAT
+ Opcode.JMP
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.APPEND
+ Opcode.JMP
+ Integer(3).to_byte_array(min_length=1)
+ Opcode.STLOC0
+ Opcode.LDLOC0 # return a
+ Opcode.RET
)
path = self.get_contract_path('AppendAnyValue.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([1, 2, 3, '4'], result)
def test_list_append_mismatched_type(self):
path = self.get_contract_path('MismatchedTypeAppendValue.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
def test_list_append_with_builtin(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH3 # a = [1, 2, 3]
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH3
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # list.append(a, 4)
+ Opcode.PUSH4
+ Opcode.OVER
+ Opcode.ISTYPE
+ Type.bytearray.stack_item
+ Opcode.JMPIFNOT
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.CAT
+ Opcode.JMP
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.APPEND
+ Opcode.JMP
+ Integer(3).to_byte_array(min_length=1)
+ Opcode.STLOC0
+ Opcode.LDLOC0 # return a
+ Opcode.RET
)
path = self.get_contract_path('AppendIntWithBuiltin.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([1, 2, 3, 4], result)
def test_list_append_with_builtin_mismatched_type(self):
path = self.get_contract_path('MismatchedTypeAppendWithBuiltin.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
def test_boa2_list_append_test(self):
path = self.get_contract_path('AppendBoa2Test.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'main')
self.assertEqual([6, 7], result)
# endregion
# region TestClear
def test_list_clear(self):
path = self.get_contract_path('ClearList.py')
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x02'
+ Opcode.PUSH3 # a = [1, 2, 3]
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH3
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # a.clear()
+ Opcode.DUP
+ Opcode.ISTYPE
+ Type.bytearray.stack_item
+ Opcode.JMPIFNOT
+ Integer(9).to_byte_array(min_length=1)
+ Opcode.DROP
+ Opcode.PUSHDATA1
+ Integer(0).to_byte_array(min_length=1)
+ Opcode.CONVERT
+ Type.bytearray.stack_item
+ Opcode.JMP
+ Integer(5).to_byte_array(min_length=1)
+ Opcode.CLEARITEMS
+ Opcode.JMP
+ Integer(3).to_byte_array(min_length=1)
+ Opcode.STLOC0
+ Opcode.LDLOC0 # return a
+ Opcode.RET
)
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_reverse(self):
path = self.get_contract_path('ReverseList.py')
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH3 # a = [1, 2, 3]
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH3
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # a.reverse()
+ Opcode.REVERSEITEMS
+ Opcode.LDLOC0 # return a
+ Opcode.RET
)
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_boa2_list_reverse_test(self):
path = self.get_contract_path('ReverseBoa2Test.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'main')
self.assertEqual(['blah', 4, 2, 1], result)
# endregion
# region TestExtend
def test_list_extend_tuple_value(self):
path = self.get_contract_path('ExtendTupleValue.py')
output = Boa3.compile(path)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([1, 2, 3, 4, 5, 6], result)
def test_list_extend_any_value(self):
path = self.get_contract_path('ExtendAnyValue.py')
output = Boa3.compile(path)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([1, 2, 3, '4', 5, 1], result)
def test_list_extend_mismatched_type(self):
path = self.get_contract_path('MismatchedTypeExtendValue.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
def test_list_extend_mismatched_iterable_value_type(self):
path = self.get_contract_path('MismatchedTypeExtendTupleValue.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
def test_list_extend_with_builtin(self):
path = self.get_contract_path('ExtendWithBuiltin.py')
output = Boa3.compile(path)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([1, 2, 3, 4, 5, 6], result)
def test_list_extend_with_builtin_mismatched_type(self):
path = self.get_contract_path('MismatchedTypeExtendWithBuiltin.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
# endregion
# region TestPop
def test_list_pop(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x02'
+ b'\x00'
+ Opcode.PUSH5 # a = [1, 2, 3, 4, 5]
+ Opcode.PUSH4
+ Opcode.PUSH3
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH5
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # b = a.pop()
+ Opcode.PUSHM1
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.OVER
+ Opcode.OVER
+ Opcode.PICKITEM
+ Opcode.REVERSE3
+ Opcode.SWAP
+ Opcode.REMOVE
+ Opcode.STLOC1
+ Opcode.LDLOC1 # return b
+ Opcode.RET
)
path = self.get_contract_path('PopList.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_pop_without_assignment(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x01'
+ b'\x00'
+ Opcode.PUSH5 # a = [1, 2, 3, 4, 5]
+ Opcode.PUSH4
+ Opcode.PUSH3
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH5
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # b = a.pop()
+ Opcode.PUSHM1
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.OVER
+ Opcode.OVER
+ Opcode.PICKITEM
+ Opcode.REVERSE3
+ Opcode.SWAP
+ Opcode.REMOVE
+ Opcode.DROP
+ Opcode.LDLOC0 # return a
+ Opcode.RET
)
path = self.get_contract_path('PopListWithoutAssignment.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_pop_literal_argument(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x02'
+ b'\x00'
+ Opcode.PUSH5 # a = [1, 2, 3, 4, 5]
+ Opcode.PUSH4
+ Opcode.PUSH3
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH5
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # b = a.pop(2)
+ Opcode.PUSH2
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.OVER
+ Opcode.OVER
+ Opcode.PICKITEM
+ Opcode.REVERSE3
+ Opcode.SWAP
+ Opcode.REMOVE
+ Opcode.STLOC1
+ Opcode.LDLOC1 # return b
+ Opcode.RET
)
path = self.get_contract_path('PopListLiteralArgument.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_pop_literal_negative_argument(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x02'
+ b'\x00'
+ Opcode.PUSH5 # a = [1, 2, 3, 4, 5]
+ Opcode.PUSH4
+ Opcode.PUSH3
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH5
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # b = a.pop(-2)
+ Opcode.PUSH2
+ Opcode.NEGATE
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.OVER
+ Opcode.OVER
+ Opcode.PICKITEM
+ Opcode.REVERSE3
+ Opcode.SWAP
+ Opcode.REMOVE
+ Opcode.STLOC1
+ Opcode.LDLOC1 # return b
+ Opcode.RET
)
path = self.get_contract_path('PopListLiteralNegativeArgument.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_pop_literal_variable_argument(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x02'
+ b'\x01'
+ Opcode.PUSH5 # a = [1, 2, 3, 4, 5]
+ Opcode.PUSH4
+ Opcode.PUSH3
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH5
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # b = a.pop(arg0)
+ Opcode.LDARG0
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.OVER
+ Opcode.OVER
+ Opcode.PICKITEM
+ Opcode.REVERSE3
+ Opcode.SWAP
+ Opcode.REMOVE
+ Opcode.STLOC1
+ Opcode.LDLOC1 # return b
+ Opcode.RET
)
path = self.get_contract_path('PopListVariableArgument.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
def test_list_pop_mismatched_type_argument(self):
path = self.get_contract_path('PopListMismatchedTypeArgument.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
def test_list_pop_mismatched_type_result(self):
expected_output = (
Opcode.INITSLOT # function signature
+ b'\x02'
+ b'\x00'
+ Opcode.PUSH5 # a = [1, 2, 3, 4, 5]
+ Opcode.PUSH4
+ Opcode.PUSH3
+ Opcode.PUSH2
+ Opcode.PUSH1
+ Opcode.PUSH5
+ Opcode.PACK
+ Opcode.STLOC0
+ Opcode.LDLOC0 # b = a.pop(2)
+ Opcode.PUSH2
+ Opcode.DUP
+ Opcode.SIGN
+ Opcode.PUSHM1
+ Opcode.JMPNE
+ Integer(5).to_byte_array(min_length=1, signed=True)
+ Opcode.OVER
+ Opcode.SIZE
+ Opcode.ADD
+ Opcode.OVER
+ Opcode.OVER
+ Opcode.PICKITEM
+ Opcode.REVERSE3
+ Opcode.SWAP
+ Opcode.REMOVE
+ Opcode.STLOC1
+ Opcode.LDLOC1 # return b
+ Opcode.RET
)
path = self.get_contract_path('PopListMismatchedTypeResult.py')
output = self.assertCompilerLogs(CompilerWarning.TypeCasting, path)
self.assertEqual(expected_output, output)
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'pop_test')
self.assertEqual(3, result)
def test_list_pop_too_many_arguments(self):
path = self.get_contract_path('PopListTooManyArguments.py')
self.assertCompilerLogs(CompilerError.UnexpectedArgument, path)
def test_boa2_list_remove_test(self):
path = self.get_contract_path('RemoveBoa2Test.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'main')
self.assertEqual([16, 3, 4], result)
# endregion
# region TestInsert
def test_list_insert_int_value(self):
path = self.get_contract_path('InsertIntValue.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([1, 2, 4, 3], result)
def test_list_insert_any_value(self):
path = self.get_contract_path('InsertAnyValue.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([1, '4', 2, 3], result)
def test_list_insert_int_negative_index(self):
path = self.get_contract_path('InsertIntNegativeIndex.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([1, 4, 2, 3], result)
def test_list_insert_int_with_builtin(self):
path = self.get_contract_path('InsertIntWithBuiltin.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([1, 2, 4, 3], result)
# endregion
# region TestRemove
def test_list_remove_value(self):
path = self.get_contract_path('RemoveValue.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main', [1, 2, 3, 4], 3)
self.assertEqual([1, 2, 4], result)
result = self.run_smart_contract(engine, path, 'Main', [1, 2, 3, 2, 3], 3)
self.assertEqual([1, 2, 2, 3], result)
with self.assertRaises(TestExecutionException):
self.run_smart_contract(engine, path, 'Main', [1, 2, 3, 4], 6)
def test_list_remove_int_value(self):
path = self.get_contract_path('RemoveIntValue.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([10, 30], result)
def test_list_remove_int_with_builtin(self):
path = self.get_contract_path('RemoveIntWithBuiltin.py')
engine = TestEngine()
result = self.run_smart_contract(engine, path, 'Main')
self.assertEqual([10, 20], result)
# endregion
| 33.849565
| 91
| 0.545611
| 4,042
| 38,927
| 5.079169
| 0.069025
| 0.033122
| 0.032684
| 0.056454
| 0.849878
| 0.825426
| 0.790502
| 0.773746
| 0.741841
| 0.705407
| 0
| 0.029969
| 0.352814
| 38,927
| 1,149
| 92
| 33.879025
| 0.78494
| 0.045084
| 0
| 0.767839
| 0
| 0
| 0.049021
| 0.02389
| 0
| 0
| 0
| 0
| 0.092462
| 1
| 0.061307
| false
| 0
| 0.01005
| 0
| 0.073367
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3d982c0ce002f70bc04c93d7c1e24b473a445024
| 1,480
|
py
|
Python
|
rail/my_widgets.py
|
MohitSinghal2811/IR-PRS
|
c04e310e413e34630ce4b7cd88b3456bfaeb76b2
|
[
"MIT"
] | 1
|
2020-11-29T16:53:49.000Z
|
2020-11-29T16:53:49.000Z
|
rail/my_widgets.py
|
harshit37/IR-PRS
|
c04e310e413e34630ce4b7cd88b3456bfaeb76b2
|
[
"MIT"
] | null | null | null |
rail/my_widgets.py
|
harshit37/IR-PRS
|
c04e310e413e34630ce4b7cd88b3456bfaeb76b2
|
[
"MIT"
] | 1
|
2021-03-30T13:53:32.000Z
|
2021-03-30T13:53:32.000Z
|
from django import forms
from django.template import loader
from django.utils.safestring import mark_safe
class MyDateWidget(forms.Widget):
template_name = 'widgets/date_field.html'
def get_context(self, name, value, attrs=None):
return {'widget': {
'name': name,
'value': value,
}}
def render(self, name, value, attrs=None, renderer = None):
context = self.get_context(name, value, attrs)
template = loader.get_template(self.template_name).render(context)
return mark_safe(template)
class MyTimeWidget(forms.Widget):
template_name = 'widgets/time_field.html'
def get_context(self, name, value, attrs=None):
return {'widget': {
'name': name,
'value': value,
}}
def render(self, name, value, attrs=None, renderer = None):
context = self.get_context(name, value, attrs)
template = loader.get_template(self.template_name).render(context)
return mark_safe(template)
class MyTestWidget(forms.Widget):
template_name = 'widgets/test_field.html'
def get_context(self, name, value, attrs=None):
return {'widget': {
'name': name,
'value': value,
}}
def render(self, name, value, attrs=None, renderer = None):
context = self.get_context(name, value, attrs)
template = loader.get_template(self.template_name).render(context)
return mark_safe(template)
| 30.204082
| 74
| 0.641216
| 175
| 1,480
| 5.297143
| 0.182857
| 0.116505
| 0.135922
| 0.116505
| 0.845739
| 0.748652
| 0.748652
| 0.748652
| 0.748652
| 0.748652
| 0
| 0
| 0.243243
| 1,480
| 48
| 75
| 30.833333
| 0.827679
| 0
| 0
| 0.75
| 0
| 0
| 0.077027
| 0.046622
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.083333
| 0.083333
| 0.583333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3db9b7d05fe643f8af371301203ec6b88977bf26
| 175
|
py
|
Python
|
glitter/blocks/call_to_action/admin.py
|
dhamaniasad/django-glitter
|
b9b0a3d8b49d5d9b840656f84564ba0a6e016f98
|
[
"BSD-3-Clause"
] | 3
|
2017-06-01T16:22:18.000Z
|
2018-08-22T21:45:55.000Z
|
glitter/blocks/call_to_action/admin.py
|
blancltd/django-glitter
|
b9b0a3d8b49d5d9b840656f84564ba0a6e016f98
|
[
"BSD-3-Clause"
] | 85
|
2016-02-25T10:34:03.000Z
|
2017-04-03T11:07:59.000Z
|
glitter/blocks/call_to_action/admin.py
|
dhamaniasad/django-glitter
|
b9b0a3d8b49d5d9b840656f84564ba0a6e016f98
|
[
"BSD-3-Clause"
] | 1
|
2020-04-21T19:14:11.000Z
|
2020-04-21T19:14:11.000Z
|
from glitter.blockadmin import blocks
from .models import CallToActionBlock
blocks.site.register(CallToActionBlock)
blocks.site.register_block(CallToActionBlock, 'Common')
| 21.875
| 55
| 0.845714
| 19
| 175
| 7.736842
| 0.578947
| 0.312925
| 0.367347
| 0.47619
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 175
| 7
| 56
| 25
| 0.913043
| 0
| 0
| 0
| 0
| 0
| 0.034286
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
3dfa7abbbb23ee7f1477983fc95f355f8b2f76d8
| 86
|
py
|
Python
|
src/igor/__init__.py
|
CaptainCuddleCube/igor
|
41a145ba9c0a011ac166ce2036c8a633f8cdee3b
|
[
"MIT"
] | 4
|
2019-10-05T19:13:38.000Z
|
2019-10-06T17:30:55.000Z
|
src/igor/__init__.py
|
CaptainCuddleCube/igor
|
41a145ba9c0a011ac166ce2036c8a633f8cdee3b
|
[
"MIT"
] | null | null | null |
src/igor/__init__.py
|
CaptainCuddleCube/igor
|
41a145ba9c0a011ac166ce2036c8a633f8cdee3b
|
[
"MIT"
] | null | null | null |
from igor.app.igor import Igor
from igor.app.slack_message import send_slack_message
| 21.5
| 53
| 0.848837
| 15
| 86
| 4.666667
| 0.466667
| 0.228571
| 0.314286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104651
| 86
| 3
| 54
| 28.666667
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
9a7890139efd4c126890ef4600027ef6de43dfea
| 85,858
|
py
|
Python
|
espnet/nets/pytorch_backend/e2e_asr_transformer_cl.py
|
sadhusamik/espnet
|
669d4125b0f97c5c1594313855d6844ec6e10950
|
[
"Apache-2.0"
] | null | null | null |
espnet/nets/pytorch_backend/e2e_asr_transformer_cl.py
|
sadhusamik/espnet
|
669d4125b0f97c5c1594313855d6844ec6e10950
|
[
"Apache-2.0"
] | null | null | null |
espnet/nets/pytorch_backend/e2e_asr_transformer_cl.py
|
sadhusamik/espnet
|
669d4125b0f97c5c1594313855d6844ec6e10950
|
[
"Apache-2.0"
] | 1
|
2021-11-27T03:10:00.000Z
|
2021-11-27T03:10:00.000Z
|
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Transformer speech recognition model (pytorch)."""
import sys
from argparse import Namespace
import logging
import math
from copy import deepcopy
import numpy
import torch
from torch import nn
from espnet.nets.asr_interface import ASRInterface
from espnet.nets.ctc_prefix_score import CTCPrefixScore
from espnet.nets.e2e_asr_common import end_detect
from espnet.nets.e2e_asr_common import ErrorCalculator
from espnet.nets.pytorch_backend.ctc import CTC
from espnet.nets.pytorch_backend.e2e_asr import CTC_LOSS_THRESHOLD
from espnet.nets.pytorch_backend.e2e_asr import Reporter
from espnet.nets.pytorch_backend.nets_utils import get_subsample
from espnet.nets.pytorch_backend.nets_utils import make_non_pad_mask
from espnet.nets.pytorch_backend.nets_utils import th_accuracy
from espnet.nets.pytorch_backend.rnn.decoders import CTC_SCORING_RATIO
from espnet.nets.pytorch_backend.transformer.add_sos_eos import add_sos_eos
from espnet.nets.pytorch_backend.transformer.argument import (
add_arguments_transformer_common, # noqa: H301
)
from espnet.nets.pytorch_backend.transformer.attention import (
MultiHeadedAttention, # noqa: H301
RelPositionMultiHeadedAttention, # noqa: H301
)
from espnet.nets.pytorch_backend.transformer.decoder import Decoder
from espnet.nets.pytorch_backend.transformer.dynamic_conv import DynamicConvolution
from espnet.nets.pytorch_backend.transformer.dynamic_conv2d import DynamicConvolution2D
from espnet.nets.pytorch_backend.transformer.encoder import Encoder
from espnet.nets.pytorch_backend.transformer.initializer import initialize
from espnet.nets.pytorch_backend.transformer.label_smoothing_loss import (
LabelSmoothingLoss, # noqa: H301
)
from espnet.nets.pytorch_backend.transformer.mask import subsequent_mask
from espnet.nets.pytorch_backend.transformer.mask import target_mask
from espnet.nets.pytorch_backend.transformer.plot import PlotAttentionReport
from espnet.nets.scorers.ctc import CTCPrefixScorer
from espnet.utils.fill_missing_args import fill_missing_args
class E2E(ASRInterface, torch.nn.Module):
"""E2E module with several parallel ASR models.
:param int idim: dimension of inputs
:param int odim: dimension of outputs
:param Namespace args: argument Namespace containing options
"""
@staticmethod
def add_arguments(parser):
"""Add arguments."""
group = parser.add_argument_group("transformer model setting")
group = add_arguments_transformer_common(group)
return parser
@property
def attention_plot_class(self):
"""Return PlotAttentionReport."""
return PlotAttentionReport
def get_total_subsampling_factor(self):
"""Get total subsampling factor."""
return self.encoder.conv_subsampling_factor * int(numpy.prod(self.subsample))
def __init__(self, all_models, all_pms, all_enc_pms=None, all_enc_cmvn=None, ignore_id=-1):
"""Second level E2E object combining multiple E2E models.
Will assume that all the parallem models are pure CTC or multitask,
but not combinations of CTC and multitask
:param list all_models: List of all transformer models to be used in parallel
:param list all_pms: List of all performance monitors for model combination
"""
torch.nn.Module.__init__(self)
self.all_models = all_models
self.all_pms = all_pms
self.all_enc_pms = all_enc_pms
self.all_enc_cmvn = all_enc_cmvn
if all_pms:
assert len(all_models) == len(all_pms)
if all_enc_pms:
assert len(all_models) == len(all_enc_pms)
assert all_enc_cmvn is not None
assert len(all_enc_cmvn) == len(all_enc_pms)
self.stream_num = len(all_models)
def reset_parameters(self, args):
"""Initialize parameters."""
# initialize parameters
initialize(self, args.transformer_init)
def scorers(self):
"""Scorers."""
return dict(decoder=self.decoder, ctc=CTCPrefixScorer(self.ctc, self.eos))
def encode(self, x):
"""Encode acoustic features.
:param ndarray x: source acoustic feature (T, D)
:return: encoder outputs
:rtype: torch.Tensor
"""
self.eval()
x = torch.as_tensor(x).unsqueeze(0)
enc_output, _ = self.encoder(x, None)
return enc_output.squeeze(0)
def vae_loss(self, x, ae_out, latent_out, out_dist='gauss', temp=30, type='prod', chop=None):
import numpy as np
if chop:
num_fr = x.shape[1]
perc = int(np.ceil(chop * 100))
selection = np.random.randint(0, num_fr, perc)
# Chop the utterances
x = x[:, selection, :]
ae_out = ae_out[:, selection, :]
latent_out = (latent_out[0][:, selection, :], latent_out[1][:, selection, :])
if out_dist == 'gauss':
log_lhood = torch.mean(-0.5 * torch.pow((x - ae_out), 2) - 0.5 * np.log(2 * np.pi * 1), dim=2)
elif out_dist == 'laplace':
log_lhood = torch.mean(-torch.abs(x - ae_out) - np.log(2), dim=2)
else:
logging.error("Output distribution of VAE can be 'gauss' or 'laplace'")
raise ValueError("Output distribution of VAE can be 'gauss' or 'laplace'")
kl_loss = 0.5 * torch.mean(
1 - torch.pow(latent_out[0], 2) - torch.pow(torch.exp(latent_out[1]), 2) + 2 * latent_out[1], dim=2)
score = log_lhood[0] + kl_loss[0]
llhood = deepcopy(score.data.numpy())
if type == 'prod':
score = torch.exp(temp * torch.mean(score))
elif type == 'sum':
score = torch.sum(torch.exp(temp * score))
else:
raise ValueError("Score type can only be 'sum' or 'prod'")
return score, llhood
def ae_loss(self, x, ae_out, out_dist='gauss'):
if out_dist == 'gauss':
loss = torch.mean(torch.pow((x - ae_out), 2))
elif out_dist == 'laplace':
loss = torch.mean(torch.abs(x - ae_out))
else:
logging.error("Output distribution of VAE can be 'gauss' or 'laplace'")
raise ValueError("Output distribution of VAE can be 'gauss' or 'laplace'")
return loss
def sym_kld(self, X, Y):
return torch.sum(X * (torch.log(X) - torch.log(Y))) / X.size(0) + torch.sum(
Y * (torch.log(Y) - torch.log(X))) / X.size(0)
def mmeasure_loss(self, X, del_list=[1, 2, 3, 4, 5, 6, 7], use_gpu=False):
kld = nn.KLDivLoss()
if use_gpu:
m_acc = torch.FloatTensor([0]).cuda()
else:
m_acc = torch.FloatTensor([0])
for d in del_list:
m_acc += self.sym_kld(X[d:, :], X[0:-d, :]) + kld(X[0:-d:, :], X[d:, :])
return m_acc / len(del_list)
def update_temp(self, temp, wts, A, B, lr=0.01):
import numpy as np
A = np.asarray([np.mean(x) for x in A])
S1 = np.sum(wts)
S2 = np.sum(A * wts)
S3 = 0 * B[0]
S4 = 0 * B[0]
tempp = A * wts
for idx, x in enumerate(B):
S3 += wts[idx] * x
S4 += tempp[idx] * x
grad_acc = np.mean(S4 / S1 - S2 * S3 / (S1 ** 2))
logging.info("computed temperature gradient is {:f}".format(grad_acc))
logging.info("Changing temperature from {:f} to {:f}".format(temp, temp - lr * grad_acc))
return temp - lr * grad_acc
def apply_cmvn(self, X, means, vars):
import numpy as np
return (X - torch.as_tensor(means)) / torch.as_tensor(np.sqrt(vars))
def wer_given_wts(self, x, recog_args, char_list=None, rnnlm=None, use_jit=False):
"""Compute differentiable WER given a bunch of combination weights.
:param ndnarray x: input acoustic feature (B, T, D) or (T, D)
:param Namespace recog_args: argment Namespace contraining options
:param list char_list: list of characters
:param torch.nn.Module rnnlm: language model module
:return: N-best decoding results
:rtype: list
"""
logging.info("Using score type {:s}".format(recog_args.score_type))
logging.info("Using temperature {:f}".format(recog_args.temperature))
if recog_args.general_p:
logging.info(
"Using generalized mean classifier combination with parameter p={:f}".format(recog_args.general_p))
else:
logging.info("Using {:s} rule of classifier combination".format(recog_args.rule))
all_enc_outputs = []
for model in self.all_models:
all_enc_outputs.append(model.encode(x).unsqueeze(0))
# if recog_args.dump_llhoods:
all_llhoods = []
# Get performance monitor Scores
if recog_args.oracle_wts:
oracle_run = True
else:
oracle_run = False
if oracle_run:
pm_scores_ctc = self.all_pms['lpz']
pm_scores_attn = self.all_pms['attn']
pm_scores_nn = pm_scores_attn
else:
if recog_args.pm_type == "vae" or recog_args.pm_type == "ae":
pm_scores = torch.zeros(self.stream_num)
for idx, pm_model in enumerate(self.all_pms):
ae_out, latent_out = pm_model(torch.as_tensor(x).unsqueeze(0), torch.IntTensor([x.shape[0]]))
if recog_args.pm_type == "vae":
pm_scores[idx], llhood = self.vae_loss(torch.as_tensor(x).unsqueeze(0), ae_out, latent_out,
out_dist='laplace', temp=recog_args.temperature,
type=recog_args.score_type, chop=recog_args.chop)
elif recog_args.pm_type == "ae":
pm_scores[idx] = -self.ae_loss(torch.as_tensor(x).unsqueeze(0), ae_out, out_dist='laplace')
# if recog_args.dump_llhoods:
all_llhoods.append(llhood)
elif recog_args.pm_type == "weighted":
pm_scores = torch.as_tensor(self.all_pms)
elif recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
pm_scores_ctc = torch.zeros(self.stream_num)
pm_scores_attn = torch.zeros(self.stream_num)
if oracle_run:
logging.info("Using oracle performance monitor")
else:
if recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
logging.info("Using {:s} performance monitor".format(recog_args.pm_type))
else:
pm_scores_nn = deepcopy(pm_scores.data.numpy())
pm_scores = pm_scores / torch.sum(pm_scores)
for idx, psc in enumerate(pm_scores):
logging.info("Confidence score for ASR " + str(idx) + " is " + str(psc.detach().numpy()))
if self.all_models[0].mtlalpha == 1.0:
# Assuming all models are pure CTC
recog_args.ctc_weight = 1.0
logging.info("Set to pure CTC decoding mode.")
if self.all_models[0].mtlalpha > 0 and recog_args.ctc_weight == 1.0:
from itertools import groupby
all_lpz = []
for idx, model in enumerate(self.all_models):
all_lpz.append(model.ctc.softmax(all_enc_outputs[idx]))
lpz = 0 * all_lpz[0]
for idx, pm_model in enumerate(self.all_pms):
lpz += pm_scores[idx] * all_lpz[idx]
lpz = torch.argmax(lpz, dim=2)
collapsed_indices = [x[0] for x in groupby(lpz[0])]
hyp = [x for x in filter(lambda x: x != self.blank, collapsed_indices)]
nbest_hyps = [{"score": 0.0, "yseq": [self.sos] + hyp}]
if recog_args.beam_size > 1:
raise NotImplementedError("Pure CTC beam search is not implemented.")
# TODO(hirofumi0810): Implement beam search
return nbest_hyps
elif self.all_models[0].mtlalpha > 0 and recog_args.ctc_weight > 0.0:
all_lpz = []
for idx, model in enumerate(self.all_models):
all_lpz.append(model.ctc.log_softmax(all_enc_outputs[idx]).squeeze(0))
if not oracle_run:
if recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
pm_scores_ctc[idx] = torch.exp(
recog_args.temperature * self.mmeasure_loss(torch.exp(all_lpz[idx])))
if not oracle_run:
if recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
pm_scores_nn = deepcopy(numpy.log(pm_scores_ctc.data.numpy()) / recog_args.temperature)
pm_scores_ctc = pm_scores_ctc / torch.sum(pm_scores_ctc)
pm_scores = pm_scores_ctc
for idx, psc in enumerate(pm_scores_ctc):
logging.info("CTC Confidence score for ASR " + str(idx) + " is " + str(psc.detach().numpy()))
if oracle_run:
pm_scores = pm_scores_ctc
for idx, psc in enumerate(pm_scores_ctc):
logging.info("Oracle CTC Confidence score for ASR " + str(idx) + " is " + str(psc))
for idx, psc in enumerate(pm_scores_attn):
logging.info("Oracle ATTN Confidence score for ASR " + str(idx) + " is " + str(psc))
lpz = 0 * all_lpz[0]
for idx, one_lpz in enumerate(all_lpz):
if recog_args.general_p:
lpz += torch.pow(torch.exp(one_lpz), recog_args.general_p) * pm_scores[idx]
elif recog_args.rule == 'product':
lpz += one_lpz * pm_scores[idx]
elif recog_args.rule == 'sum':
lpz += torch.exp(one_lpz) * pm_scores[idx]
else:
logging.error("rule can only be of types 'sum' or 'product'")
if recog_args.general_p:
lpz = torch.log(lpz) / recog_args.general_p
elif recog_args.rule == "sum":
lpz = torch.log(lpz)
else:
lpz = None
h = all_enc_outputs[0].squeeze(0)
logging.info("input lengths: " + str(h.size(0)))
# search parms
beam = recog_args.beam_size
penalty = recog_args.penalty
ctc_weight = recog_args.ctc_weight
# preprare sos
y = self.all_models[0].sos
vy = h.new_zeros(1).long()
if recog_args.maxlenratio == 0:
maxlen = h.shape[0]
else:
# maxlen >= 1
maxlen = max(1, int(recog_args.maxlenratio * h.size(0)))
minlen = int(recog_args.minlenratio * h.size(0))
logging.info("max output length: " + str(maxlen))
logging.info("min output length: " + str(minlen))
# initialize hypothesis
if rnnlm:
hyp = {"score": 0.0, "yseq": [y], "rnnlm_prev": None}
else:
hyp = {"score": 0.0, "yseq": [y]}
if lpz is not None:
ctc_prefix_score = CTCPrefixScore(lpz.detach().numpy(), 0, self.all_models[0].eos, numpy)
hyp["ctc_state_prev"] = ctc_prefix_score.initial_state()
hyp["ctc_score_prev"] = 0.0
if ctc_weight != 1.0:
# pre-pruning based on attention scores
ctc_beam = min(lpz.shape[-1], int(beam * CTC_SCORING_RATIO))
else:
ctc_beam = lpz.shape[-1]
hyps = [hyp]
ended_hyps = []
import six
import numpy as np
all_compiled_local_att_scores = []
for i in range(self.stream_num):
all_compiled_local_att_scores.append(np.zeros((maxlen, lpz.shape[1])))
traced_decoder = None
for i in six.moves.range(maxlen):
logging.debug("position " + str(i))
hyps_best_kept = []
best_score = -numpy.infty
for hyp in hyps:
vy[0] = hyp["yseq"][i]
# get nbest local scores and their ids
ys_mask = subsequent_mask(i + 1).unsqueeze(0)
ys = torch.tensor(hyp["yseq"]).unsqueeze(0)
# FIXME: jit does not match non-jit result
all_local_att_scores = []
if rnnlm:
rnnlm_state, local_lm_scores = rnnlm.predict(hyp["rnnlm_prev"], vy)
if use_jit:
if traced_decoder is None:
traced_decoder = torch.jit.trace(
self.all_models[0].decoder.forward_one_step, (ys, ys_mask, all_enc_outputs[0])
)
for enc_output in all_enc_outputs:
local_att_scores = traced_decoder(ys, ys_mask, enc_output)[0]
all_local_att_scores.append(local_att_scores)
else:
# Keep only attention values from the best hypothesis
if hyp["score"] > best_score:
best_score = hyp["score"]
update = True
else:
update = False
for idx, enc_output in enumerate(all_enc_outputs):
local_att_scores = self.all_models[idx].decoder.forward_one_step(
ys, ys_mask, enc_output
)[0]
if update and not oracle_run:
if recog_args.pm_type == "mmeasure_addlm":
all_compiled_local_att_scores[idx][i, :] = local_att_scores[0,
:].detach().numpy() + recog_args.lm_weight * local_lm_scores[
0,
:].detach().numpy()
else:
all_compiled_local_att_scores[idx][i, :] = local_att_scores[0, :].detach().numpy()
all_local_att_scores.append(local_att_scores)
if not oracle_run:
if recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
if i >= 10:
pm_scores_attn[idx] = torch.exp(recog_args.temperature * self.mmeasure_loss(
torch.exp(torch.from_numpy(all_compiled_local_att_scores[idx][0:i - 1, :]))))
else:
pm_scores_attn = pm_scores_ctc
if oracle_run:
pm_scores = pm_scores_attn
elif recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
pm_scores_nn = deepcopy(numpy.log(pm_scores_attn.data.numpy()) / recog_args.temperature)
pm_scores_attn = pm_scores_attn / torch.sum(pm_scores_attn)
pm_scores = pm_scores_attn
log = "Prediction" + str(i) + "-> ATTN Confidence score for "
for idx, psc in enumerate(pm_scores_attn):
log = log + " ASR " + str(idx) + ": " + str(psc.detach().numpy())
logging.info(log)
local_att_scores = 0 * all_local_att_scores[0]
for idx, one_attn_score in enumerate(all_local_att_scores):
if recog_args.general_p:
local_att_scores += torch.pow(torch.exp(one_attn_score), recog_args.general_p) * pm_scores[
idx]
elif recog_args.rule == 'product':
local_att_scores += one_attn_score * pm_scores[idx]
elif recog_args.rule == 'sum':
local_att_scores += torch.exp(one_attn_score) * pm_scores[idx]
else:
logging.error("rule can only be of types 'sum' or 'product'")
if recog_args.general_p:
local_att_scores = torch.log(local_att_scores) / recog_args.general_p
elif recog_args.rule == "sum":
local_att_scores = torch.log(local_att_scores)
if rnnlm:
local_scores = (
local_att_scores + recog_args.lm_weight * local_lm_scores
)
else:
local_scores = local_att_scores
if lpz is not None:
local_best_scores, local_best_ids = torch.topk(
local_att_scores, ctc_beam, dim=1
)
ctc_scores, ctc_states = ctc_prefix_score(
hyp["yseq"], local_best_ids[0], hyp["ctc_state_prev"]
)
local_scores = (1.0 - ctc_weight) * local_att_scores[
:, local_best_ids[0]
] + ctc_weight * torch.from_numpy(
ctc_scores - hyp["ctc_score_prev"]
)
if rnnlm:
local_scores += (
recog_args.lm_weight * local_lm_scores[:, local_best_ids[0]]
)
local_best_scores, joint_best_ids = torch.topk(
local_scores, beam, dim=1
)
local_best_ids = local_best_ids[:, joint_best_ids[0]]
else:
local_best_scores, local_best_ids = torch.topk(
local_scores, beam, dim=1
)
for j in six.moves.range(beam):
new_hyp = {}
new_hyp["score"] = hyp["score"] + float(local_best_scores[0, j])
new_hyp["yseq"] = [0] * (1 + len(hyp["yseq"]))
new_hyp["yseq"][: len(hyp["yseq"])] = hyp["yseq"]
new_hyp["yseq"][len(hyp["yseq"])] = int(local_best_ids[0, j])
if rnnlm:
new_hyp["rnnlm_prev"] = rnnlm_state
if lpz is not None:
new_hyp["ctc_state_prev"] = ctc_states[joint_best_ids[0, j]]
new_hyp["ctc_score_prev"] = ctc_scores[joint_best_ids[0, j]]
# will be (2 x beam) hyps at most
hyps_best_kept.append(new_hyp)
hyps_best_kept = sorted(
hyps_best_kept, key=lambda x: x["score"], reverse=True
)[:beam]
# sort and get nbest
hyps = hyps_best_kept
logging.debug("number of pruned hypothes: " + str(len(hyps)))
if char_list is not None:
logging.debug(
"best hypo: "
+ "".join([char_list[int(x)] for x in hyps[0]["yseq"][1:]])
)
# add eos in the final loop to avoid that there are no ended hyps
if i == maxlen - 1:
logging.info("adding <eos> in the last postion in the loop")
for hyp in hyps:
hyp["yseq"].append(self.all_models[0].eos)
# add ended hypothes to a final list, and removed them from current hypothes
# (this will be a probmlem, number of hyps < beam)
remained_hyps = []
for hyp in hyps:
if hyp["yseq"][-1] == self.all_models[0].eos:
# only store the sequence that has more than minlen outputs
# also add penalty
if len(hyp["yseq"]) > minlen:
hyp["score"] += (i + 1) * penalty
if rnnlm: # Word LM needs to add final <eos> score
hyp["score"] += recog_args.lm_weight * rnnlm.final(
hyp["rnnlm_prev"]
)
ended_hyps.append(hyp)
else:
remained_hyps.append(hyp)
# end detection
if end_detect(ended_hyps, i) and recog_args.maxlenratio == 0.0:
logging.info("end detected at %d", i)
break
hyps = remained_hyps
if len(hyps) > 0:
logging.debug("remeined hypothes: " + str(len(hyps)))
else:
logging.info("no hypothesis. Finish decoding.")
break
if char_list is not None:
for hyp in hyps:
logging.debug(
"hypo: " + "".join([char_list[int(x)] for x in hyp["yseq"][1:]])
)
logging.debug("number of ended hypothes: " + str(len(ended_hyps)))
nbest_hyps = sorted(ended_hyps, key=lambda x: x["score"], reverse=True)[
: min(len(ended_hyps), recog_args.nbest)
]
# check number of hypotheis
if len(nbest_hyps) == 0:
logging.warning(
"there is no N-best results, perform recognition "
"again with smaller minlenratio."
)
# should copy becasuse Namespace will be overwritten globally
recog_args = Namespace(**vars(recog_args))
recog_args.minlenratio = max(0.0, recog_args.minlenratio - 0.1)
return self.recognize(x, recog_args, char_list, rnnlm)
logging.info("total log probability: " + str(nbest_hyps[0]["score"]))
logging.info(
"normalized log probability: "
+ str(nbest_hyps[0]["score"] / len(nbest_hyps[0]["yseq"]))
)
for idx, x in enumerate(all_lpz):
all_lpz[idx] = all_lpz[idx].detach().numpy()
# Update the temperature
if recog_args.update_temp:
recog_args.temperature = self.update_temp(recog_args.temperature, pm_scores_nn, all_llhoods,
all_compiled_local_att_scores, lr=10)
comp = {}
comp["lpz"] = all_lpz
comp["attn"] = all_compiled_local_att_scores
return recog_args.temperature, pm_scores_nn, comp, nbest_hyps
def recognize(self, x, recog_args, char_list=None, rnnlm=None, use_jit=False):
"""Recognize input speech.
:param ndnarray x: input acoustic feature (B, T, D) or (T, D)
:param Namespace recog_args: argment Namespace contraining options
:param list char_list: list of characters
:param torch.nn.Module rnnlm: language model module
:return: N-best decoding results
:rtype: list
"""
logging.info("Using score type {:s}".format(recog_args.score_type))
logging.info("Using temperature {:f}".format(recog_args.temperature))
if recog_args.general_p:
logging.info(
"Using generalized mean classifier combination with parameter p={:f}".format(recog_args.general_p))
else:
logging.info("Using {:s} rule of classifier combination".format(recog_args.rule))
all_enc_outputs = []
for model in self.all_models:
all_enc_outputs.append(model.encode(x).unsqueeze(0))
# if recog_args.dump_llhoods:
all_llhoods = []
# Get performance monitor Scores
if recog_args.oracle_wts:
oracle_run = True
else:
oracle_run = False
if oracle_run:
pm_scores_ctc = self.all_pms['lpz']
pm_scores_attn = self.all_pms['attn']
pm_scores_nn = pm_scores_attn
else:
if recog_args.pm_type == "vae" or recog_args.pm_type == "ae":
pm_scores = torch.zeros(self.stream_num)
for idx, pm_model in enumerate(self.all_pms):
ae_out, latent_out = pm_model(torch.as_tensor(x).unsqueeze(0), torch.IntTensor([x.shape[0]]))
if recog_args.pm_type == "vae":
pm_scores[idx], llhood = self.vae_loss(torch.as_tensor(x).unsqueeze(0), ae_out, latent_out,
out_dist='laplace', temp=recog_args.temperature,
type=recog_args.score_type, chop=recog_args.chop)
elif recog_args.pm_type == "ae":
pm_scores[idx] = -self.ae_loss(torch.as_tensor(x).unsqueeze(0), ae_out, out_dist='laplace')
# if recog_args.dump_llhoods:
all_llhoods.append(llhood)
elif recog_args.pm_type == "weighted":
pm_scores = torch.as_tensor(self.all_pms)
elif recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
pm_scores_ctc = torch.zeros(self.stream_num)
pm_scores_attn = torch.zeros(self.stream_num)
if oracle_run:
logging.info("Using oracle performance monitor")
else:
if recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
logging.info("Using {:s} performance monitor".format(recog_args.pm_type))
else:
pm_scores_nn = deepcopy(pm_scores.data.numpy())
pm_scores = pm_scores / torch.sum(pm_scores)
for idx, psc in enumerate(pm_scores):
logging.info("Confidence score for ASR " + str(idx) + " is " + str(psc.detach().numpy()))
if self.all_models[0].mtlalpha == 1.0:
# Assuming all models are pure CTC
recog_args.ctc_weight = 1.0
logging.info("Set to pure CTC decoding mode.")
if self.all_models[0].mtlalpha > 0 and recog_args.ctc_weight == 1.0:
from itertools import groupby
all_lpz = []
for idx, model in enumerate(self.all_models):
all_lpz.append(model.ctc.softmax(all_enc_outputs[idx]))
lpz = 0 * all_lpz[0]
for idx, pm_model in enumerate(self.all_pms):
lpz += pm_scores[idx] * all_lpz[idx]
lpz = torch.argmax(lpz, dim=2)
collapsed_indices = [x[0] for x in groupby(lpz[0])]
hyp = [x for x in filter(lambda x: x != self.blank, collapsed_indices)]
nbest_hyps = [{"score": 0.0, "yseq": [self.sos] + hyp}]
if recog_args.beam_size > 1:
raise NotImplementedError("Pure CTC beam search is not implemented.")
# TODO(hirofumi0810): Implement beam search
return nbest_hyps
elif self.all_models[0].mtlalpha > 0 and recog_args.ctc_weight > 0.0:
all_lpz = []
for idx, model in enumerate(self.all_models):
all_lpz.append(model.ctc.log_softmax(all_enc_outputs[idx]).squeeze(0))
if not oracle_run:
if recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
pm_scores_ctc[idx] = torch.exp(
recog_args.temperature * self.mmeasure_loss(torch.exp(all_lpz[idx])))
if not oracle_run:
if recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
pm_scores_nn = deepcopy(numpy.log(pm_scores_ctc.data.numpy()) / recog_args.temperature)
pm_scores_ctc = pm_scores_ctc / torch.sum(pm_scores_ctc)
pm_scores = pm_scores_ctc
for idx, psc in enumerate(pm_scores_ctc):
logging.info("CTC Confidence score for ASR " + str(idx) + " is " + str(psc.detach().numpy()))
if oracle_run:
pm_scores = pm_scores_ctc
for idx, psc in enumerate(pm_scores_ctc):
logging.info("Oracle CTC Confidence score for ASR " + str(idx) + " is " + str(psc))
for idx, psc in enumerate(pm_scores_attn):
logging.info("Oracle ATTN Confidence score for ASR " + str(idx) + " is " + str(psc))
lpz = 0 * all_lpz[0]
for idx, one_lpz in enumerate(all_lpz):
if recog_args.general_p:
lpz += torch.pow(torch.exp(one_lpz), recog_args.general_p) * pm_scores[idx]
elif recog_args.rule == 'product':
lpz += one_lpz * pm_scores[idx]
elif recog_args.rule == 'sum':
lpz += torch.exp(one_lpz) * pm_scores[idx]
else:
logging.error("rule can only be of types 'sum' or 'product'")
if recog_args.general_p:
lpz = torch.log(lpz) / recog_args.general_p
elif recog_args.rule == "sum":
lpz = torch.log(lpz)
else:
lpz = None
h = all_enc_outputs[0].squeeze(0)
logging.info("input lengths: " + str(h.size(0)))
# search parms
beam = recog_args.beam_size
penalty = recog_args.penalty
ctc_weight = recog_args.ctc_weight
# preprare sos
y = self.all_models[0].sos
vy = h.new_zeros(1).long()
if recog_args.maxlenratio == 0:
maxlen = h.shape[0]
else:
# maxlen >= 1
maxlen = max(1, int(recog_args.maxlenratio * h.size(0)))
minlen = int(recog_args.minlenratio * h.size(0))
logging.info("max output length: " + str(maxlen))
logging.info("min output length: " + str(minlen))
# initialize hypothesis
if rnnlm:
hyp = {"score": 0.0, "yseq": [y], "rnnlm_prev": None}
else:
hyp = {"score": 0.0, "yseq": [y]}
if lpz is not None:
ctc_prefix_score = CTCPrefixScore(lpz.detach().numpy(), 0, self.all_models[0].eos, numpy)
hyp["ctc_state_prev"] = ctc_prefix_score.initial_state()
hyp["ctc_score_prev"] = 0.0
if ctc_weight != 1.0:
# pre-pruning based on attention scores
ctc_beam = min(lpz.shape[-1], int(beam * CTC_SCORING_RATIO))
else:
ctc_beam = lpz.shape[-1]
hyps = [hyp]
ended_hyps = []
import six
import numpy as np
all_compiled_local_att_scores = []
for i in range(self.stream_num):
all_compiled_local_att_scores.append(np.zeros((maxlen, lpz.shape[1])))
traced_decoder = None
for i in six.moves.range(maxlen):
logging.debug("position " + str(i))
hyps_best_kept = []
best_score = -numpy.infty
for hyp in hyps:
vy[0] = hyp["yseq"][i]
# get nbest local scores and their ids
ys_mask = subsequent_mask(i + 1).unsqueeze(0)
ys = torch.tensor(hyp["yseq"]).unsqueeze(0)
# FIXME: jit does not match non-jit result
all_local_att_scores = []
if rnnlm:
rnnlm_state, local_lm_scores = rnnlm.predict(hyp["rnnlm_prev"], vy)
if use_jit:
if traced_decoder is None:
traced_decoder = torch.jit.trace(
self.all_models[0].decoder.forward_one_step, (ys, ys_mask, all_enc_outputs[0])
)
for enc_output in all_enc_outputs:
local_att_scores = traced_decoder(ys, ys_mask, enc_output)[0]
all_local_att_scores.append(local_att_scores)
else:
# Keep only attention values from the best hypothesis
if hyp["score"] > best_score:
best_score = hyp["score"]
update = True
else:
update = False
for idx, enc_output in enumerate(all_enc_outputs):
local_att_scores = self.all_models[idx].decoder.forward_one_step(
ys, ys_mask, enc_output
)[0]
if update and not oracle_run:
if recog_args.pm_type == "mmeasure_addlm":
all_compiled_local_att_scores[idx][i, :] = local_att_scores[0,
:].detach().numpy() + recog_args.lm_weight * local_lm_scores[
0,
:].detach().numpy()
else:
all_compiled_local_att_scores[idx][i, :] = local_att_scores[0, :].detach().numpy()
all_local_att_scores.append(local_att_scores)
if not oracle_run:
if recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
if i >= 10:
pm_scores_attn[idx] = torch.exp(recog_args.temperature * self.mmeasure_loss(
torch.exp(torch.from_numpy(all_compiled_local_att_scores[idx][0:i - 1, :]))))
else:
pm_scores_attn = pm_scores_ctc
if oracle_run:
pm_scores = pm_scores_attn
elif recog_args.pm_type == "mmeasure" or recog_args.pm_type == "mmeasure_addlm":
pm_scores_nn = deepcopy(numpy.log(pm_scores_attn.data.numpy()) / recog_args.temperature)
pm_scores_attn = pm_scores_attn / torch.sum(pm_scores_attn)
pm_scores = pm_scores_attn
log = "Prediction" + str(i) + "-> ATTN Confidence score for "
for idx, psc in enumerate(pm_scores_attn):
log = log + " ASR " + str(idx) + ": " + str(psc.detach().numpy())
logging.info(log)
local_att_scores = 0 * all_local_att_scores[0]
for idx, one_attn_score in enumerate(all_local_att_scores):
if recog_args.general_p:
local_att_scores += torch.pow(torch.exp(one_attn_score), recog_args.general_p) * pm_scores[
idx]
elif recog_args.rule == 'product':
local_att_scores += one_attn_score * pm_scores[idx]
elif recog_args.rule == 'sum':
local_att_scores += torch.exp(one_attn_score) * pm_scores[idx]
else:
logging.error("rule can only be of types 'sum' or 'product'")
if recog_args.general_p:
local_att_scores = torch.log(local_att_scores) / recog_args.general_p
elif recog_args.rule == "sum":
local_att_scores = torch.log(local_att_scores)
if rnnlm:
local_scores = (
local_att_scores + recog_args.lm_weight * local_lm_scores
)
else:
local_scores = local_att_scores
if lpz is not None:
local_best_scores, local_best_ids = torch.topk(
local_att_scores, ctc_beam, dim=1
)
ctc_scores, ctc_states = ctc_prefix_score(
hyp["yseq"], local_best_ids[0], hyp["ctc_state_prev"]
)
local_scores = (1.0 - ctc_weight) * local_att_scores[
:, local_best_ids[0]
] + ctc_weight * torch.from_numpy(
ctc_scores - hyp["ctc_score_prev"]
)
if rnnlm:
local_scores += (
recog_args.lm_weight * local_lm_scores[:, local_best_ids[0]]
)
local_best_scores, joint_best_ids = torch.topk(
local_scores, beam, dim=1
)
local_best_ids = local_best_ids[:, joint_best_ids[0]]
else:
local_best_scores, local_best_ids = torch.topk(
local_scores, beam, dim=1
)
for j in six.moves.range(beam):
new_hyp = {}
new_hyp["score"] = hyp["score"] + float(local_best_scores[0, j])
new_hyp["yseq"] = [0] * (1 + len(hyp["yseq"]))
new_hyp["yseq"][: len(hyp["yseq"])] = hyp["yseq"]
new_hyp["yseq"][len(hyp["yseq"])] = int(local_best_ids[0, j])
if rnnlm:
new_hyp["rnnlm_prev"] = rnnlm_state
if lpz is not None:
new_hyp["ctc_state_prev"] = ctc_states[joint_best_ids[0, j]]
new_hyp["ctc_score_prev"] = ctc_scores[joint_best_ids[0, j]]
# will be (2 x beam) hyps at most
hyps_best_kept.append(new_hyp)
hyps_best_kept = sorted(
hyps_best_kept, key=lambda x: x["score"], reverse=True
)[:beam]
# sort and get nbest
hyps = hyps_best_kept
logging.debug("number of pruned hypothes: " + str(len(hyps)))
if char_list is not None:
logging.debug(
"best hypo: "
+ "".join([char_list[int(x)] for x in hyps[0]["yseq"][1:]])
)
# add eos in the final loop to avoid that there are no ended hyps
if i == maxlen - 1:
logging.info("adding <eos> in the last postion in the loop")
for hyp in hyps:
hyp["yseq"].append(self.all_models[0].eos)
# add ended hypothes to a final list, and removed them from current hypothes
# (this will be a probmlem, number of hyps < beam)
remained_hyps = []
for hyp in hyps:
if hyp["yseq"][-1] == self.all_models[0].eos:
# only store the sequence that has more than minlen outputs
# also add penalty
if len(hyp["yseq"]) > minlen:
hyp["score"] += (i + 1) * penalty
if rnnlm: # Word LM needs to add final <eos> score
hyp["score"] += recog_args.lm_weight * rnnlm.final(
hyp["rnnlm_prev"]
)
ended_hyps.append(hyp)
else:
remained_hyps.append(hyp)
# end detection
if end_detect(ended_hyps, i) and recog_args.maxlenratio == 0.0:
logging.info("end detected at %d", i)
break
hyps = remained_hyps
if len(hyps) > 0:
logging.debug("remeined hypothes: " + str(len(hyps)))
else:
logging.info("no hypothesis. Finish decoding.")
break
if char_list is not None:
for hyp in hyps:
logging.debug(
"hypo: " + "".join([char_list[int(x)] for x in hyp["yseq"][1:]])
)
logging.debug("number of ended hypothes: " + str(len(ended_hyps)))
nbest_hyps = sorted(ended_hyps, key=lambda x: x["score"], reverse=True)[
: min(len(ended_hyps), recog_args.nbest)
]
# check number of hypotheis
if len(nbest_hyps) == 0:
logging.warning(
"there is no N-best results, perform recognition "
"again with smaller minlenratio."
)
# should copy becasuse Namespace will be overwritten globally
recog_args = Namespace(**vars(recog_args))
recog_args.minlenratio = max(0.0, recog_args.minlenratio - 0.1)
return self.recognize(x, recog_args, char_list, rnnlm)
logging.info("total log probability: " + str(nbest_hyps[0]["score"]))
logging.info(
"normalized log probability: "
+ str(nbest_hyps[0]["score"] / len(nbest_hyps[0]["yseq"]))
)
for idx, x in enumerate(all_lpz):
all_lpz[idx] = all_lpz[idx].detach().numpy()
# Update the temperature
if recog_args.update_temp:
recog_args.temperature = self.update_temp(recog_args.temperature, pm_scores_nn, all_llhoods,
all_compiled_local_att_scores, lr=10)
comp = {}
comp["lpz"] = all_lpz
comp["attn"] = all_compiled_local_att_scores
return recog_args.temperature, pm_scores_nn, comp, nbest_hyps
def recognize_joint(self, x, recog_args, char_list=None, rnnlm=None, use_jit=False):
"""Recognize input speech with joint PM.
:param ndnarray x: input acoustic feature (B, T, D) or (T, D)
:param Namespace recog_args: argment Namespace contraining options
:param list char_list: list of characters
:param torch.nn.Module rnnlm: language model module
:return: N-best decoding results
:rtype: list
"""
logging.info("Using score type {:s}".format(recog_args.score_type))
logging.info("Using temperature {:f}".format(recog_args.temperature))
if recog_args.general_p:
logging.info(
"Using generalized mean classifier combination with parameter p={:f}".format(recog_args.general_p))
else:
logging.info("Using {:s} rule of classifier combination".format(recog_args.rule))
all_enc_outputs = []
for model in self.all_models:
all_enc_outputs.append(model.encode(x).unsqueeze(0))
all_llhoods = []
# Get performance monitor Scores
pm_scores = torch.zeros(self.stream_num)
if recog_args.pm_type == "joint_vae":
pm_scores_inp = torch.zeros(self.stream_num)
pm_scores_enc = torch.zeros(self.stream_num)
# External Model
for idx, pm_model in enumerate(self.all_pms):
ae_out, latent_out = pm_model(torch.as_tensor(x).unsqueeze(0), torch.IntTensor([x.shape[0]]))
pm_scores_inp[idx], llhood = self.vae_loss(torch.as_tensor(x).unsqueeze(0), ae_out, latent_out,
out_dist='laplace', temp=recog_args.temperature,
type=recog_args.score_type, chop=recog_args.chop)
all_llhoods.append(llhood)
# Internal Model
for idx, pm_model in enumerate(self.all_enc_pms):
enc_out_after_cmvn = self.apply_cmvn(all_enc_outputs[idx], self.all_enc_cmvn[idx][0],
self.all_enc_cmvn[idx][1])
ae_out, latent_out = pm_model(enc_out_after_cmvn, torch.IntTensor([enc_out_after_cmvn.shape[1]]))
pm_scores_enc[idx], llhood = self.vae_loss(enc_out_after_cmvn, ae_out, latent_out,
out_dist='laplace', temp=recog_args.temperature,
type=recog_args.score_type, chop=recog_args.chop)
# Combine scores
for idx, x in enumerate(pm_scores_inp):
pm_scores[idx] = torch.exp(torch.log(pm_scores_enc[idx]) + torch.log(pm_scores_inp[idx]))
pm_scores_nn = deepcopy(pm_scores.data.numpy())
pm_scores_nn_inp = deepcopy(pm_scores_inp.data.numpy())
pm_scores_nn_enc = deepcopy(pm_scores_enc.data.numpy())
pm_scores = pm_scores / torch.sum(pm_scores)
for idx, psc in enumerate(pm_scores):
temp_inp = (pm_scores_inp / torch.sum(pm_scores_inp)).detach().numpy()
temp_enc = (pm_scores_enc / torch.sum(pm_scores_enc)).detach().numpy()
logging.info("Confidence score for ASR {:d} (final/input/encoder) = {:f}/{:f}/{:f}".format(idx,
psc.detach().numpy(),
temp_inp[
idx],
temp_enc[
idx]))
elif recog_args.pm_type == "enc_vae":
# Internal Model only
for idx, pm_model in enumerate(self.all_enc_pms):
enc_out_after_cmvn = self.apply_cmvn(all_enc_outputs[idx], self.all_enc_cmvn[idx][0],
self.all_enc_cmvn[idx][1])
ae_out, latent_out = pm_model(enc_out_after_cmvn, torch.IntTensor([enc_out_after_cmvn.shape[1]]))
pm_scores[idx], llhood = self.vae_loss(enc_out_after_cmvn, ae_out, latent_out,
out_dist='laplace', temp=recog_args.temperature,
type=recog_args.score_type, chop=recog_args.chop)
pm_scores_nn = deepcopy(pm_scores.data.numpy())
pm_scores = pm_scores / torch.sum(pm_scores)
for idx, psc in enumerate(pm_scores):
logging.info("Confidence score for ASR (final) " + str(idx) + " is " + str(psc.detach().numpy()))
elif recog_args.pm_type == "true_joint_vae":
# Combined Model
for idx, pm_model in enumerate(self.all_pms):
enc_out_after_cmvn = self.apply_cmvn(all_enc_outputs[idx], self.all_enc_cmvn[idx][0],
self.all_enc_cmvn[idx][1])
print(torch.as_tensor(x).unsqueeze(0).shape)
print(enc_out_after_cmvn.shape)
sys.stdout.flush()
combined_inp_enc = torch.cat([torch.as_tensor(x).unsqueeze(0), enc_out_after_cmvn], dim=2)
ae_out, latent_out = pm_model(combined_inp_enc, torch.IntTensor([combined_inp_enc.shape[1]]))
pm_scores[idx], llhood = self.vae_loss(combined_inp_enc, ae_out, latent_out,
out_dist='laplace', temp=recog_args.temperature,
type=recog_args.score_type, chop=recog_args.chop)
pm_scores_nn = deepcopy(pm_scores.data.numpy())
pm_scores = pm_scores / torch.sum(pm_scores)
for idx, psc in enumerate(pm_scores):
logging.info("Confidence score for ASR {:d} = {:f}".format(idx, psc.detach().numpy()))
if self.all_models[0].mtlalpha == 1.0:
# Assuming all models are pure CTC
recog_args.ctc_weight = 1.0
logging.info("Set to pure CTC decoding mode.")
if self.all_models[0].mtlalpha > 0 and recog_args.ctc_weight == 1.0:
from itertools import groupby
all_lpz = []
for idx, model in enumerate(self.all_models):
all_lpz.append(model.ctc.softmax(all_enc_outputs[idx]))
lpz = 0 * all_lpz[0]
for idx, pm_model in enumerate(self.all_pms):
lpz += pm_scores[idx] * all_lpz[idx]
lpz = torch.argmax(lpz, dim=2)
collapsed_indices = [x[0] for x in groupby(lpz[0])]
hyp = [x for x in filter(lambda x: x != self.blank, collapsed_indices)]
nbest_hyps = [{"score": 0.0, "yseq": [self.sos] + hyp}]
if recog_args.beam_size > 1:
raise NotImplementedError("Pure CTC beam search is not implemented.")
# TODO(hirofumi0810): Implement beam search
return nbest_hyps
elif self.all_models[0].mtlalpha > 0 and recog_args.ctc_weight > 0.0:
all_lpz = []
for idx, model in enumerate(self.all_models):
all_lpz.append(model.ctc.log_softmax(all_enc_outputs[idx]).squeeze(0))
lpz = 0 * all_lpz[0]
for idx, one_lpz in enumerate(all_lpz):
if recog_args.general_p:
lpz += torch.pow(torch.exp(one_lpz), recog_args.general_p) * pm_scores[idx]
elif recog_args.rule == 'product':
lpz += one_lpz * pm_scores[idx]
elif recog_args.rule == 'sum':
lpz += torch.exp(one_lpz) * pm_scores[idx]
else:
logging.error("rule can only be of types 'sum' or 'product'")
if recog_args.general_p:
lpz = torch.log(lpz) / recog_args.general_p
elif recog_args.rule == "sum":
lpz = torch.log(lpz)
else:
lpz = None
h = all_enc_outputs[0].squeeze(0)
logging.info("input lengths: " + str(h.size(0)))
# search parms
beam = recog_args.beam_size
penalty = recog_args.penalty
ctc_weight = recog_args.ctc_weight
# preprare sos
y = self.all_models[0].sos
vy = h.new_zeros(1).long()
if recog_args.maxlenratio == 0:
maxlen = h.shape[0]
else:
# maxlen >= 1
maxlen = max(1, int(recog_args.maxlenratio * h.size(0)))
minlen = int(recog_args.minlenratio * h.size(0))
logging.info("max output length: " + str(maxlen))
logging.info("min output length: " + str(minlen))
# initialize hypothesis
if rnnlm:
hyp = {"score": 0.0, "yseq": [y], "rnnlm_prev": None}
else:
hyp = {"score": 0.0, "yseq": [y]}
if lpz is not None:
ctc_prefix_score = CTCPrefixScore(lpz.detach().numpy(), 0, self.all_models[0].eos, numpy)
hyp["ctc_state_prev"] = ctc_prefix_score.initial_state()
hyp["ctc_score_prev"] = 0.0
if ctc_weight != 1.0:
# pre-pruning based on attention scores
ctc_beam = min(lpz.shape[-1], int(beam * CTC_SCORING_RATIO))
else:
ctc_beam = lpz.shape[-1]
hyps = [hyp]
ended_hyps = []
import six
import numpy as np
all_compiled_local_att_scores = []
for i in range(self.stream_num):
all_compiled_local_att_scores.append(np.zeros((maxlen, lpz.shape[1])))
traced_decoder = None
for i in six.moves.range(maxlen):
logging.debug("position " + str(i))
hyps_best_kept = []
best_score = -numpy.infty
for hyp in hyps:
vy[0] = hyp["yseq"][i]
# get nbest local scores and their ids
ys_mask = subsequent_mask(i + 1).unsqueeze(0)
ys = torch.tensor(hyp["yseq"]).unsqueeze(0)
# FIXME: jit does not match non-jit result
all_local_att_scores = []
if rnnlm:
rnnlm_state, local_lm_scores = rnnlm.predict(hyp["rnnlm_prev"], vy)
if use_jit:
if traced_decoder is None:
traced_decoder = torch.jit.trace(
self.all_models[0].decoder.forward_one_step, (ys, ys_mask, all_enc_outputs[0])
)
for enc_output in all_enc_outputs:
local_att_scores = traced_decoder(ys, ys_mask, enc_output)[0]
all_local_att_scores.append(local_att_scores)
else:
# Keep only attention values from the best hypothesis
if hyp["score"] > best_score:
best_score = hyp["score"]
update = True
else:
update = False
for idx, enc_output in enumerate(all_enc_outputs):
local_att_scores = self.all_models[idx].decoder.forward_one_step(
ys, ys_mask, enc_output
)[0]
if update:
all_compiled_local_att_scores[idx][i, :] = local_att_scores[0, :].detach().numpy()
all_local_att_scores.append(local_att_scores)
local_att_scores = 0 * all_local_att_scores[0]
for idx, one_attn_score in enumerate(all_local_att_scores):
if recog_args.general_p:
local_att_scores += torch.pow(torch.exp(one_attn_score), recog_args.general_p) * pm_scores[
idx]
elif recog_args.rule == 'product':
local_att_scores += one_attn_score * pm_scores[idx]
elif recog_args.rule == 'sum':
local_att_scores += torch.exp(one_attn_score) * pm_scores[idx]
else:
logging.error("rule can only be of types 'sum' or 'product'")
if recog_args.general_p:
local_att_scores = torch.log(local_att_scores) / recog_args.general_p
elif recog_args.rule == "sum":
local_att_scores = torch.log(local_att_scores)
if rnnlm:
local_scores = (
local_att_scores + recog_args.lm_weight * local_lm_scores
)
else:
local_scores = local_att_scores
if lpz is not None:
local_best_scores, local_best_ids = torch.topk(
local_att_scores, ctc_beam, dim=1
)
ctc_scores, ctc_states = ctc_prefix_score(
hyp["yseq"], local_best_ids[0], hyp["ctc_state_prev"]
)
local_scores = (1.0 - ctc_weight) * local_att_scores[
:, local_best_ids[0]
] + ctc_weight * torch.from_numpy(
ctc_scores - hyp["ctc_score_prev"]
)
if rnnlm:
local_scores += (
recog_args.lm_weight * local_lm_scores[:, local_best_ids[0]]
)
local_best_scores, joint_best_ids = torch.topk(
local_scores, beam, dim=1
)
local_best_ids = local_best_ids[:, joint_best_ids[0]]
else:
local_best_scores, local_best_ids = torch.topk(
local_scores, beam, dim=1
)
for j in six.moves.range(beam):
new_hyp = {}
new_hyp["score"] = hyp["score"] + float(local_best_scores[0, j])
new_hyp["yseq"] = [0] * (1 + len(hyp["yseq"]))
new_hyp["yseq"][: len(hyp["yseq"])] = hyp["yseq"]
new_hyp["yseq"][len(hyp["yseq"])] = int(local_best_ids[0, j])
if rnnlm:
new_hyp["rnnlm_prev"] = rnnlm_state
if lpz is not None:
new_hyp["ctc_state_prev"] = ctc_states[joint_best_ids[0, j]]
new_hyp["ctc_score_prev"] = ctc_scores[joint_best_ids[0, j]]
# will be (2 x beam) hyps at most
hyps_best_kept.append(new_hyp)
hyps_best_kept = sorted(
hyps_best_kept, key=lambda x: x["score"], reverse=True
)[:beam]
# sort and get nbest
hyps = hyps_best_kept
logging.debug("number of pruned hypothes: " + str(len(hyps)))
if char_list is not None:
logging.debug(
"best hypo: "
+ "".join([char_list[int(x)] for x in hyps[0]["yseq"][1:]])
)
# add eos in the final loop to avoid that there are no ended hyps
if i == maxlen - 1:
logging.info("adding <eos> in the last postion in the loop")
for hyp in hyps:
hyp["yseq"].append(self.all_models[0].eos)
# add ended hypothes to a final list, and removed them from current hypothes
# (this will be a probmlem, number of hyps < beam)
remained_hyps = []
for hyp in hyps:
if hyp["yseq"][-1] == self.all_models[0].eos:
# only store the sequence that has more than minlen outputs
# also add penalty
if len(hyp["yseq"]) > minlen:
hyp["score"] += (i + 1) * penalty
if rnnlm: # Word LM needs to add final <eos> score
hyp["score"] += recog_args.lm_weight * rnnlm.final(
hyp["rnnlm_prev"]
)
ended_hyps.append(hyp)
else:
remained_hyps.append(hyp)
# end detection
if end_detect(ended_hyps, i) and recog_args.maxlenratio == 0.0:
logging.info("end detected at %d", i)
break
hyps = remained_hyps
if len(hyps) > 0:
logging.debug("remeined hypothes: " + str(len(hyps)))
else:
logging.info("no hypothesis. Finish decoding.")
break
if char_list is not None:
for hyp in hyps:
logging.debug(
"hypo: " + "".join([char_list[int(x)] for x in hyp["yseq"][1:]])
)
logging.debug("number of ended hypothes: " + str(len(ended_hyps)))
nbest_hyps = sorted(ended_hyps, key=lambda x: x["score"], reverse=True)[
: min(len(ended_hyps), recog_args.nbest)
]
# check number of hypotheis
if len(nbest_hyps) == 0:
logging.warning(
"there is no N-best results, perform recognition "
"again with smaller minlenratio."
)
# should copy becasuse Namespace will be overwritten globally
recog_args = Namespace(**vars(recog_args))
recog_args.minlenratio = max(0.0, recog_args.minlenratio - 0.1)
return self.recognize(x, recog_args, char_list, rnnlm)
logging.info("total log probability: " + str(nbest_hyps[0]["score"]))
logging.info(
"normalized log probability: "
+ str(nbest_hyps[0]["score"] / len(nbest_hyps[0]["yseq"]))
)
for idx, x in enumerate(all_lpz):
all_lpz[idx] = all_lpz[idx].detach().numpy()
# Update the temperature
if recog_args.update_temp:
recog_args.temperature = self.update_temp(recog_args.temperature, pm_scores_nn, all_llhoods,
all_compiled_local_att_scores, lr=10)
comp = {}
comp["lpz"] = all_lpz
comp["attn"] = all_compiled_local_att_scores
if recog_args.pm_type == "joint_vae":
pm_scores_nn = {'inp': pm_scores_nn_inp, 'enc': pm_scores_nn_enc}
return recog_args.temperature, pm_scores_nn, comp, nbest_hyps
def recognize_self_confidence(self, x, recog_args, char_list=None, rnnlm=None, use_jit=False):
"""Recognize input speech with self confidence.
:param ndnarray x: input acoustic feature (B, T, D) or (T, D)
:param Namespace recog_args: argment Namespace contraining options
:param list char_list: list of characters
:param torch.nn.Module rnnlm: language model module
:return: N-best decoding results
:rtype: list
"""
logging.info("Using score type {:s}".format(recog_args.score_type))
logging.info("Using temperature {:f}".format(recog_args.temperature))
if recog_args.general_p:
logging.info(
"Using generalized mean classifier combination with parameter p={:f}".format(recog_args.general_p))
else:
logging.info("Using {:s} rule of classifier combination".format(recog_args.rule))
all_enc_outputs = []
for model in self.all_models:
all_enc_outputs.append(model.encode(x).unsqueeze(0))
all_llhoods = []
# Get performance monitor Scores
pm_scores = torch.zeros(self.stream_num)
if recog_args.pm_type == "joint_vae":
pm_scores_inp = torch.zeros(self.stream_num)
pm_scores_enc = torch.zeros(self.stream_num)
# External Model
for idx, pm_model in enumerate(self.all_pms):
ae_out, latent_out = pm_model(torch.as_tensor(x).unsqueeze(0), torch.IntTensor([x.shape[0]]))
pm_scores_inp[idx], llhood = self.vae_loss(torch.as_tensor(x).unsqueeze(0), ae_out, latent_out,
out_dist='laplace', temp=recog_args.temperature,
type=recog_args.score_type, chop=recog_args.chop)
all_llhoods.append(llhood)
# Internal Model
for idx, pm_model in enumerate(self.all_enc_pms):
enc_out_after_cmvn = self.apply_cmvn(all_enc_outputs[idx], self.all_enc_cmvn[idx][0],
self.all_enc_cmvn[idx][1])
ae_out, latent_out = pm_model(enc_out_after_cmvn, torch.IntTensor([enc_out_after_cmvn.shape[1]]))
pm_scores_enc[idx], llhood = self.vae_loss(enc_out_after_cmvn, ae_out, latent_out,
out_dist='laplace', temp=recog_args.temperature,
type=recog_args.score_type, chop=recog_args.chop)
# Combine scores
for idx, x in enumerate(pm_scores_inp):
pm_scores[idx] = torch.exp(torch.log(pm_scores_enc[idx]) + torch.log(pm_scores_inp[idx]))
pm_scores_nn = deepcopy(pm_scores.data.numpy())
pm_scores_nn_inp = deepcopy(pm_scores_inp.data.numpy())
pm_scores_nn_enc = deepcopy(pm_scores_enc.data.numpy())
pm_scores = pm_scores / torch.sum(pm_scores)
for idx, psc in enumerate(pm_scores):
temp_inp = (pm_scores_inp / torch.sum(pm_scores_inp)).detach().numpy()
temp_enc = (pm_scores_enc / torch.sum(pm_scores_enc)).detach().numpy()
logging.info("Confidence score for ASR {:d} (final/input/encoder) = {:f}/{:f}/{:f}".format(idx,
psc.detach().numpy(),
temp_inp[
idx],
temp_enc[
idx]))
elif recog_args.pm_type == "enc_vae":
# Internal Model only
for idx, pm_model in enumerate(self.all_enc_pms):
enc_out_after_cmvn = self.apply_cmvn(all_enc_outputs[idx], self.all_enc_cmvn[idx][0],
self.all_enc_cmvn[idx][1])
ae_out, latent_out = pm_model(enc_out_after_cmvn, torch.IntTensor([enc_out_after_cmvn.shape[1]]))
pm_scores[idx], llhood = self.vae_loss(enc_out_after_cmvn, ae_out, latent_out,
out_dist='laplace', temp=recog_args.temperature,
type=recog_args.score_type, chop=recog_args.chop)
pm_scores_nn = deepcopy(pm_scores.data.numpy())
pm_scores = pm_scores / torch.sum(pm_scores)
for idx, psc in enumerate(pm_scores):
logging.info("Confidence score for ASR (final) " + str(idx) + " is " + str(psc.detach().numpy()))
if self.all_models[0].mtlalpha == 1.0:
# Assuming all models are pure CTC
recog_args.ctc_weight = 1.0
logging.info("Set to pure CTC decoding mode.")
if self.all_models[0].mtlalpha > 0 and recog_args.ctc_weight == 1.0:
from itertools import groupby
all_lpz = []
for idx, model in enumerate(self.all_models):
all_lpz.append(model.ctc.softmax(all_enc_outputs[idx]))
lpz = 0 * all_lpz[0]
for idx, pm_model in enumerate(self.all_pms):
lpz += pm_scores[idx] * all_lpz[idx]
lpz = torch.argmax(lpz, dim=2)
collapsed_indices = [x[0] for x in groupby(lpz[0])]
hyp = [x for x in filter(lambda x: x != self.blank, collapsed_indices)]
nbest_hyps = [{"score": 0.0, "yseq": [self.sos] + hyp}]
if recog_args.beam_size > 1:
raise NotImplementedError("Pure CTC beam search is not implemented.")
# TODO(hirofumi0810): Implement beam search
return nbest_hyps
elif self.all_models[0].mtlalpha > 0 and recog_args.ctc_weight > 0.0:
all_lpz = []
for idx, model in enumerate(self.all_models):
all_lpz.append(model.ctc.log_softmax(all_enc_outputs[idx]).squeeze(0))
lpz = 0 * all_lpz[0]
for idx, one_lpz in enumerate(all_lpz):
if recog_args.general_p:
lpz += torch.pow(torch.exp(one_lpz), recog_args.general_p) * pm_scores[idx]
elif recog_args.rule == 'product':
lpz += one_lpz * pm_scores[idx]
elif recog_args.rule == 'sum':
lpz += torch.exp(one_lpz) * pm_scores[idx]
else:
logging.error("rule can only be of types 'sum' or 'product'")
if recog_args.general_p:
lpz = torch.log(lpz) / recog_args.general_p
elif recog_args.rule == "sum":
lpz = torch.log(lpz)
else:
lpz = None
h = all_enc_outputs[0].squeeze(0)
logging.info("input lengths: " + str(h.size(0)))
# search parms
beam = recog_args.beam_size
penalty = recog_args.penalty
ctc_weight = recog_args.ctc_weight
# preprare sos
y = self.all_models[0].sos
vy = h.new_zeros(1).long()
if recog_args.maxlenratio == 0:
maxlen = h.shape[0]
else:
# maxlen >= 1
maxlen = max(1, int(recog_args.maxlenratio * h.size(0)))
minlen = int(recog_args.minlenratio * h.size(0))
logging.info("max output length: " + str(maxlen))
logging.info("min output length: " + str(minlen))
# initialize hypothesis
if rnnlm:
hyp = {"score": 0.0, "yseq": [y], "rnnlm_prev": None}
else:
hyp = {"score": 0.0, "yseq": [y]}
if lpz is not None:
ctc_prefix_score = CTCPrefixScore(lpz.detach().numpy(), 0, self.all_models[0].eos, numpy)
hyp["ctc_state_prev"] = ctc_prefix_score.initial_state()
hyp["ctc_score_prev"] = 0.0
if ctc_weight != 1.0:
# pre-pruning based on attention scores
ctc_beam = min(lpz.shape[-1], int(beam * CTC_SCORING_RATIO))
else:
ctc_beam = lpz.shape[-1]
hyps = [hyp]
ended_hyps = []
import six
import numpy as np
all_compiled_local_att_scores = []
for i in range(self.stream_num):
all_compiled_local_att_scores.append(np.zeros((maxlen, lpz.shape[1])))
traced_decoder = None
for i in six.moves.range(maxlen):
logging.debug("position " + str(i))
hyps_best_kept = []
best_score = -numpy.infty
for hyp in hyps:
vy[0] = hyp["yseq"][i]
# get nbest local scores and their ids
ys_mask = subsequent_mask(i + 1).unsqueeze(0)
ys = torch.tensor(hyp["yseq"]).unsqueeze(0)
# FIXME: jit does not match non-jit result
all_local_att_scores = []
if rnnlm:
rnnlm_state, local_lm_scores = rnnlm.predict(hyp["rnnlm_prev"], vy)
if use_jit:
if traced_decoder is None:
traced_decoder = torch.jit.trace(
self.all_models[0].decoder.forward_one_step, (ys, ys_mask, all_enc_outputs[0])
)
for enc_output in all_enc_outputs:
local_att_scores = traced_decoder(ys, ys_mask, enc_output)[0]
all_local_att_scores.append(local_att_scores)
else:
# Keep only attention values from the best hypothesis
if hyp["score"] > best_score:
best_score = hyp["score"]
update = True
else:
update = False
for idx, enc_output in enumerate(all_enc_outputs):
local_att_scores = self.all_models[idx].decoder.forward_one_step(
ys, ys_mask, enc_output
)[0]
if update:
all_compiled_local_att_scores[idx][i, :] = local_att_scores[0, :].detach().numpy()
all_local_att_scores.append(local_att_scores)
local_att_scores = 0 * all_local_att_scores[0]
for idx, one_attn_score in enumerate(all_local_att_scores):
if recog_args.general_p:
local_att_scores += torch.pow(torch.exp(one_attn_score), recog_args.general_p) * pm_scores[
idx]
elif recog_args.rule == 'product':
local_att_scores += one_attn_score * pm_scores[idx]
elif recog_args.rule == 'sum':
local_att_scores += torch.exp(one_attn_score) * pm_scores[idx]
else:
logging.error("rule can only be of types 'sum' or 'product'")
if recog_args.general_p:
local_att_scores = torch.log(local_att_scores) / recog_args.general_p
elif recog_args.rule == "sum":
local_att_scores = torch.log(local_att_scores)
if rnnlm:
local_scores = (
local_att_scores + recog_args.lm_weight * local_lm_scores
)
else:
local_scores = local_att_scores
if lpz is not None:
local_best_scores, local_best_ids = torch.topk(
local_att_scores, ctc_beam, dim=1
)
ctc_scores, ctc_states = ctc_prefix_score(
hyp["yseq"], local_best_ids[0], hyp["ctc_state_prev"]
)
local_scores = (1.0 - ctc_weight) * local_att_scores[
:, local_best_ids[0]
] + ctc_weight * torch.from_numpy(
ctc_scores - hyp["ctc_score_prev"]
)
if rnnlm:
local_scores += (
recog_args.lm_weight * local_lm_scores[:, local_best_ids[0]]
)
local_best_scores, joint_best_ids = torch.topk(
local_scores, beam, dim=1
)
local_best_ids = local_best_ids[:, joint_best_ids[0]]
else:
local_best_scores, local_best_ids = torch.topk(
local_scores, beam, dim=1
)
for j in six.moves.range(beam):
new_hyp = {}
new_hyp["score"] = hyp["score"] + float(local_best_scores[0, j])
new_hyp["yseq"] = [0] * (1 + len(hyp["yseq"]))
new_hyp["yseq"][: len(hyp["yseq"])] = hyp["yseq"]
new_hyp["yseq"][len(hyp["yseq"])] = int(local_best_ids[0, j])
if rnnlm:
new_hyp["rnnlm_prev"] = rnnlm_state
if lpz is not None:
new_hyp["ctc_state_prev"] = ctc_states[joint_best_ids[0, j]]
new_hyp["ctc_score_prev"] = ctc_scores[joint_best_ids[0, j]]
# will be (2 x beam) hyps at most
hyps_best_kept.append(new_hyp)
hyps_best_kept = sorted(
hyps_best_kept, key=lambda x: x["score"], reverse=True
)[:beam]
# sort and get nbest
hyps = hyps_best_kept
logging.debug("number of pruned hypothes: " + str(len(hyps)))
if char_list is not None:
logging.debug(
"best hypo: "
+ "".join([char_list[int(x)] for x in hyps[0]["yseq"][1:]])
)
# add eos in the final loop to avoid that there are no ended hyps
if i == maxlen - 1:
logging.info("adding <eos> in the last postion in the loop")
for hyp in hyps:
hyp["yseq"].append(self.all_models[0].eos)
# add ended hypothes to a final list, and removed them from current hypothes
# (this will be a probmlem, number of hyps < beam)
remained_hyps = []
for hyp in hyps:
if hyp["yseq"][-1] == self.all_models[0].eos:
# only store the sequence that has more than minlen outputs
# also add penalty
if len(hyp["yseq"]) > minlen:
hyp["score"] += (i + 1) * penalty
if rnnlm: # Word LM needs to add final <eos> score
hyp["score"] += recog_args.lm_weight * rnnlm.final(
hyp["rnnlm_prev"]
)
ended_hyps.append(hyp)
else:
remained_hyps.append(hyp)
# end detection
if end_detect(ended_hyps, i) and recog_args.maxlenratio == 0.0:
logging.info("end detected at %d", i)
break
hyps = remained_hyps
if len(hyps) > 0:
logging.debug("remeined hypothes: " + str(len(hyps)))
else:
logging.info("no hypothesis. Finish decoding.")
break
if char_list is not None:
for hyp in hyps:
logging.debug(
"hypo: " + "".join([char_list[int(x)] for x in hyp["yseq"][1:]])
)
logging.debug("number of ended hypothes: " + str(len(ended_hyps)))
nbest_hyps = sorted(ended_hyps, key=lambda x: x["score"], reverse=True)[
: min(len(ended_hyps), recog_args.nbest)
]
# check number of hypotheis
if len(nbest_hyps) == 0:
logging.warning(
"there is no N-best results, perform recognition "
"again with smaller minlenratio."
)
# should copy becasuse Namespace will be overwritten globally
recog_args = Namespace(**vars(recog_args))
recog_args.minlenratio = max(0.0, recog_args.minlenratio - 0.1)
return self.recognize(x, recog_args, char_list, rnnlm)
logging.info("total log probability: " + str(nbest_hyps[0]["score"]))
logging.info(
"normalized log probability: "
+ str(nbest_hyps[0]["score"] / len(nbest_hyps[0]["yseq"]))
)
for idx, x in enumerate(all_lpz):
all_lpz[idx] = all_lpz[idx].detach().numpy()
# Update the temperature
if recog_args.update_temp:
recog_args.temperature = self.update_temp(recog_args.temperature, pm_scores_nn, all_llhoods,
all_compiled_local_att_scores, lr=10)
comp = {}
comp["lpz"] = all_lpz
comp["attn"] = all_compiled_local_att_scores
if recog_args.pm_type == "joint_vae":
pm_scores_nn = {'inp': pm_scores_nn_inp, 'enc': pm_scores_nn_enc}
return recog_args.temperature, pm_scores_nn, comp, nbest_hyps
def calculate_all_attentions(self, xs_pad, ilens, ys_pad):
"""E2E attention calculation.
:param torch.Tensor xs_pad: batch of padded input sequences (B, Tmax, idim)
:param torch.Tensor ilens: batch of lengths of input sequences (B)
:param torch.Tensor ys_pad: batch of padded token id sequence tensor (B, Lmax)
:return: attention weights (B, H, Lmax, Tmax)
:rtype: float ndarray
"""
self.eval()
with torch.no_grad():
self.forward(xs_pad, ilens, ys_pad)
ret = dict()
for name, m in self.named_modules():
if (
isinstance(m, MultiHeadedAttention)
or isinstance(m, DynamicConvolution)
or isinstance(m, RelPositionMultiHeadedAttention)
):
ret[name] = m.attn.cpu().numpy()
if isinstance(m, DynamicConvolution2D):
ret[name + "_time"] = m.attn_t.cpu().numpy()
ret[name + "_freq"] = m.attn_f.cpu().numpy()
self.train()
return ret
def calculate_all_ctc_probs(self, xs_pad, ilens, ys_pad):
"""E2E CTC probability calculation.
:param torch.Tensor xs_pad: batch of padded input sequences (B, Tmax)
:param torch.Tensor ilens: batch of lengths of input sequences (B)
:param torch.Tensor ys_pad: batch of padded token id sequence tensor (B, Lmax)
:return: CTC probability (B, Tmax, vocab)
:rtype: float ndarray
"""
ret = None
if self.mtlalpha == 0:
return ret
self.eval()
with torch.no_grad():
self.forward(xs_pad, ilens, ys_pad)
for name, m in self.named_modules():
if isinstance(m, CTC) and m.probs is not None:
ret = m.probs.cpu().numpy()
self.train()
return ret
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| 140
| 0.513406
| 9,960
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0
| 7
|
9acf96a15a3abd75bbd5c4d77bce1883ea20e35a
| 11,800
|
py
|
Python
|
lang/python/github/com/metaprov/modelaapi/services/notifier/v1/notifier_pb2_grpc.py
|
metaprov/modeldapi
|
ee05693832051dcd990ee4f061715d7ae0787340
|
[
"Apache-2.0"
] | 5
|
2022-02-18T03:40:10.000Z
|
2022-03-01T16:11:24.000Z
|
lang/python/github/com/metaprov/modelaapi/services/notifier/v1/notifier_pb2_grpc.py
|
metaprov/modeldapi
|
ee05693832051dcd990ee4f061715d7ae0787340
|
[
"Apache-2.0"
] | 1
|
2022-01-07T19:59:25.000Z
|
2022-02-04T01:21:14.000Z
|
lang/python/github/com/metaprov/modelaapi/services/notifier/v1/notifier_pb2_grpc.py
|
metaprov/modeldapi
|
ee05693832051dcd990ee4f061715d7ae0787340
|
[
"Apache-2.0"
] | 1
|
2022-03-25T10:21:43.000Z
|
2022-03-25T10:21:43.000Z
|
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from github.com.metaprov.modelaapi.services.notifier.v1 import notifier_pb2 as github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2
class NotifierServiceStub(object):
"""Missing associated documentation comment in .proto file."""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.ListNotifiers = channel.unary_unary(
'/github.com.metaprov.modelaapi.services.notifier.v1.NotifierService/ListNotifiers',
request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.ListNotifiersRequest.SerializeToString,
response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.ListNotifiersResponse.FromString,
)
self.CreateNotifier = channel.unary_unary(
'/github.com.metaprov.modelaapi.services.notifier.v1.NotifierService/CreateNotifier',
request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.CreateNotifierRequest.SerializeToString,
response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.CreateNotifierResponse.FromString,
)
self.GetNotifier = channel.unary_unary(
'/github.com.metaprov.modelaapi.services.notifier.v1.NotifierService/GetNotifier',
request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.GetNotifierRequest.SerializeToString,
response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.GetNotifierResponse.FromString,
)
self.UpdateNotifier = channel.unary_unary(
'/github.com.metaprov.modelaapi.services.notifier.v1.NotifierService/UpdateNotifier',
request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.UpdateNotifierRequest.SerializeToString,
response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.UpdateNotifierResponse.FromString,
)
self.DeleteNotifier = channel.unary_unary(
'/github.com.metaprov.modelaapi.services.notifier.v1.NotifierService/DeleteNotifier',
request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.DeleteNotifierRequest.SerializeToString,
response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.DeleteNotifierResponse.FromString,
)
class NotifierServiceServicer(object):
"""Missing associated documentation comment in .proto file."""
def ListNotifiers(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def CreateNotifier(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def GetNotifier(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def UpdateNotifier(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def DeleteNotifier(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_NotifierServiceServicer_to_server(servicer, server):
rpc_method_handlers = {
'ListNotifiers': grpc.unary_unary_rpc_method_handler(
servicer.ListNotifiers,
request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.ListNotifiersRequest.FromString,
response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.ListNotifiersResponse.SerializeToString,
),
'CreateNotifier': grpc.unary_unary_rpc_method_handler(
servicer.CreateNotifier,
request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.CreateNotifierRequest.FromString,
response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.CreateNotifierResponse.SerializeToString,
),
'GetNotifier': grpc.unary_unary_rpc_method_handler(
servicer.GetNotifier,
request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.GetNotifierRequest.FromString,
response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.GetNotifierResponse.SerializeToString,
),
'UpdateNotifier': grpc.unary_unary_rpc_method_handler(
servicer.UpdateNotifier,
request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.UpdateNotifierRequest.FromString,
response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.UpdateNotifierResponse.SerializeToString,
),
'DeleteNotifier': grpc.unary_unary_rpc_method_handler(
servicer.DeleteNotifier,
request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.DeleteNotifierRequest.FromString,
response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.DeleteNotifierResponse.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'github.com.metaprov.modelaapi.services.notifier.v1.NotifierService', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
# This class is part of an EXPERIMENTAL API.
class NotifierService(object):
"""Missing associated documentation comment in .proto file."""
@staticmethod
def ListNotifiers(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.notifier.v1.NotifierService/ListNotifiers',
github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.ListNotifiersRequest.SerializeToString,
github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.ListNotifiersResponse.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def CreateNotifier(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.notifier.v1.NotifierService/CreateNotifier',
github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.CreateNotifierRequest.SerializeToString,
github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.CreateNotifierResponse.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def GetNotifier(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.notifier.v1.NotifierService/GetNotifier',
github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.GetNotifierRequest.SerializeToString,
github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.GetNotifierResponse.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def UpdateNotifier(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.notifier.v1.NotifierService/UpdateNotifier',
github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.UpdateNotifierRequest.SerializeToString,
github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.UpdateNotifierResponse.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def DeleteNotifier(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.notifier.v1.NotifierService/DeleteNotifier',
github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.DeleteNotifierRequest.SerializeToString,
github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_notifier_dot_v1_dot_notifier__pb2.DeleteNotifierResponse.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
| 59.296482
| 174
| 0.744322
| 1,233
| 11,800
| 6.623682
| 0.089213
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| 0.045549
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| 0.887107
| 0.887107
| 0.887107
| 0.858455
| 0.844619
| 0.814497
| 0
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| 11,800
| 198
| 175
| 59.59596
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| 0.106369
| 0.079551
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| 0.074074
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| 0
| 0.012346
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|
0
| 7
|
9ae023a32e243c59d49da2f650adcb75170be567
| 137
|
py
|
Python
|
notebooks/project_function1.py
|
data301-2021-winter1/project-group40-project
|
225f9992e77cb390f2e50c535483615ff3be250e
|
[
"MIT"
] | null | null | null |
notebooks/project_function1.py
|
data301-2021-winter1/project-group40-project
|
225f9992e77cb390f2e50c535483615ff3be250e
|
[
"MIT"
] | null | null | null |
notebooks/project_function1.py
|
data301-2021-winter1/project-group40-project
|
225f9992e77cb390f2e50c535483615ff3be250e
|
[
"MIT"
] | null | null | null |
import pandas as pd
import numpy as np
def select(df, col):
return df[col]
def specify(df, col, s):
return df.loc[df[col] == s]
| 17.125
| 31
| 0.649635
| 26
| 137
| 3.423077
| 0.538462
| 0.224719
| 0.134831
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| 0
| 0.218978
| 137
| 8
| 31
| 17.125
| 0.831776
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| 0
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| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
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| null | 1
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| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
9ae54fd1096366bc91c4b72f968cd36b58ae728e
| 8,402
|
py
|
Python
|
leasing/tests/api/test_lease_basis_of_rent_lock.py
|
hkotkanen/mvj
|
a22d40869ef1b13924da428f3026d248acef81a7
|
[
"MIT"
] | null | null | null |
leasing/tests/api/test_lease_basis_of_rent_lock.py
|
hkotkanen/mvj
|
a22d40869ef1b13924da428f3026d248acef81a7
|
[
"MIT"
] | null | null | null |
leasing/tests/api/test_lease_basis_of_rent_lock.py
|
hkotkanen/mvj
|
a22d40869ef1b13924da428f3026d248acef81a7
|
[
"MIT"
] | null | null | null |
import datetime
import json
import pytest
import pytz
from django.contrib.auth.models import Permission
from django.core.serializers.json import DjangoJSONEncoder
from django.urls import reverse
from leasing.models import LeaseBasisOfRent
@pytest.mark.django_db
def test_lock_lease_basis_of_rent(django_db_setup, client, lease_test_data, user_factory, lease_basis_of_rent_factory):
user = user_factory(username='test_user')
user.set_password('test_password')
user.save()
permission_codenames = [
'view_lease',
'change_lease',
'add_leasebasisofrent',
'change_lease_basis_of_rents',
'change_leasebasisofrent',
'change_leasebasisofrent_locked_at',
]
for permission_codename in permission_codenames:
permission = Permission.objects.get(codename=permission_codename)
user.user_permissions.add(permission)
client.login(username='test_user', password='test_password')
lease = lease_test_data['lease']
lease_basis_of_rent = lease_basis_of_rent_factory(
lease=lease,
intended_use_id=1,
area=12345,
index_id=1,
)
lock_time = datetime.datetime(year=2010, month=1, day=1, hour=1, minute=1, tzinfo=pytz.timezone('Europe/Helsinki'))
data = {
"id": lease.id,
"basis_of_rents": [{
"id": lease_basis_of_rent.id,
"locked_at": lock_time,
}]
}
url = reverse('lease-detail', kwargs={
'pk': lease.id
})
response = client.patch(url, data=json.dumps(data, cls=DjangoJSONEncoder), content_type='application/json')
assert response.status_code == 200, '%s %s' % (response.status_code, response.data)
lease_basis_of_rent = LeaseBasisOfRent.objects.get(pk=lease_basis_of_rent.id)
assert lease_basis_of_rent.locked_at == lock_time
@pytest.mark.django_db
def test_cannot_change_locked_lease_basis_of_rent(django_db_setup, client, lease_test_data, user_factory,
lease_basis_of_rent_factory):
user = user_factory(username='test_user')
user.set_password('test_password')
user.save()
permission_codenames = [
'view_lease',
'change_lease',
'add_leasebasisofrent',
'change_lease_basis_of_rents',
'change_leasebasisofrent',
'change_leasebasisofrent_locked_at',
]
for permission_codename in permission_codenames:
permission = Permission.objects.get(codename=permission_codename)
user.user_permissions.add(permission)
client.login(username='test_user', password='test_password')
lease = lease_test_data['lease']
lock_time = datetime.datetime(year=2010, month=1, day=1, hour=1, minute=1, tzinfo=pytz.timezone('Europe/Helsinki'))
lease_basis_of_rent = lease_basis_of_rent_factory(
lease=lease,
intended_use_id=1,
area=12345,
index_id=1,
locked_at=lock_time,
)
data = {
"id": lease.id,
"basis_of_rents": [{
"id": lease_basis_of_rent.id,
"intended_use_id": 2,
}]
}
url = reverse('lease-detail', kwargs={
'pk': lease.id
})
response = client.patch(url, data=json.dumps(data, cls=DjangoJSONEncoder), content_type='application/json')
assert response.status_code == 400, '%s %s' % (response.status_code, response.data)
lease_basis_of_rent = LeaseBasisOfRent.objects.get(pk=lease_basis_of_rent.id)
assert lease_basis_of_rent.intended_use_id == 1
@pytest.mark.django_db
def test_cannot_unclock_locked_lease_basis_of_rent(django_db_setup, client, lease_test_data, user_factory,
lease_basis_of_rent_factory):
user = user_factory(username='test_user')
user.set_password('test_password')
user.save()
permission_codenames = [
'view_lease',
'change_lease',
'add_leasebasisofrent',
'change_lease_basis_of_rents',
'change_leasebasisofrent',
]
for permission_codename in permission_codenames:
permission = Permission.objects.get(codename=permission_codename)
user.user_permissions.add(permission)
client.login(username='test_user', password='test_password')
lease = lease_test_data['lease']
lock_time = datetime.datetime(year=2010, month=1, day=1, hour=1, minute=1, tzinfo=pytz.timezone('Europe/Helsinki'))
lease_basis_of_rent = lease_basis_of_rent_factory(
lease=lease,
intended_use_id=1,
area=12345,
index_id=1,
locked_at=lock_time,
)
data = {
"id": lease.id,
"basis_of_rents": [{
"id": lease_basis_of_rent.id,
"locked_at": None,
}]
}
url = reverse('lease-detail', kwargs={
'pk': lease.id
})
response = client.patch(url, data=json.dumps(data, cls=DjangoJSONEncoder), content_type='application/json')
assert response.status_code == 200, '%s %s' % (response.status_code, response.data)
lease_basis_of_rent = LeaseBasisOfRent.objects.get(pk=lease_basis_of_rent.id)
assert lease_basis_of_rent.locked_at == lock_time
@pytest.mark.django_db
def test_can_unclock_locked_lease_basis_of_rent(django_db_setup, client, lease_test_data, user_factory,
lease_basis_of_rent_factory):
user = user_factory(username='test_user')
user.set_password('test_password')
user.save()
permission_codenames = [
'view_lease',
'change_lease',
'add_leasebasisofrent',
'change_lease_basis_of_rents',
'change_leasebasisofrent',
'change_leasebasisofrent_locked_at',
]
for permission_codename in permission_codenames:
permission = Permission.objects.get(codename=permission_codename)
user.user_permissions.add(permission)
client.login(username='test_user', password='test_password')
lease = lease_test_data['lease']
lock_time = datetime.datetime(year=2010, month=1, day=1, hour=1, minute=1, tzinfo=pytz.timezone('Europe/Helsinki'))
lease_basis_of_rent = lease_basis_of_rent_factory(
lease=lease,
intended_use_id=1,
area=12345,
index_id=1,
locked_at=lock_time,
)
data = {
"id": lease.id,
"basis_of_rents": [{
"id": lease_basis_of_rent.id,
"locked_at": None,
}]
}
url = reverse('lease-detail', kwargs={
'pk': lease.id
})
response = client.patch(url, data=json.dumps(data, cls=DjangoJSONEncoder), content_type='application/json')
assert response.status_code == 200, '%s %s' % (response.status_code, response.data)
lease_basis_of_rent = LeaseBasisOfRent.objects.get(pk=lease_basis_of_rent.id)
assert lease_basis_of_rent.locked_at is None
@pytest.mark.django_db
def test_cannot_remove_locked_lease_basis_of_rent(django_db_setup, client, lease_test_data, user_factory,
lease_basis_of_rent_factory):
user = user_factory(username='test_user')
user.set_password('test_password')
user.save()
permission_codenames = [
'view_lease',
'change_lease',
'add_leasebasisofrent',
'delete_leasebasisofrent',
'change_lease_basis_of_rents',
'change_leasebasisofrent',
'change_leasebasisofrent_locked_at',
]
for permission_codename in permission_codenames:
permission = Permission.objects.get(codename=permission_codename)
user.user_permissions.add(permission)
client.login(username='test_user', password='test_password')
lease = lease_test_data['lease']
lock_time = datetime.datetime(year=2010, month=1, day=1, hour=1, minute=1, tzinfo=pytz.timezone('Europe/Helsinki'))
lease_basis_of_rent_factory(
lease=lease,
intended_use_id=1,
area=12345,
index_id=1,
locked_at=lock_time,
)
data = {
"id": lease.id,
"basis_of_rents": []
}
url = reverse('lease-detail', kwargs={
'pk': lease.id
})
response = client.patch(url, data=json.dumps(data, cls=DjangoJSONEncoder), content_type='application/json')
assert response.status_code == 200, '%s %s' % (response.status_code, response.data)
assert lease.basis_of_rents.count() == 1
| 30.664234
| 119
| 0.668293
| 1,023
| 8,402
| 5.147605
| 0.091887
| 0.061147
| 0.09343
| 0.106343
| 0.941891
| 0.941891
| 0.937144
| 0.924231
| 0.924231
| 0.924231
| 0
| 0.014268
| 0.224232
| 8,402
| 273
| 120
| 30.776557
| 0.793648
| 0
| 0
| 0.821256
| 0
| 0
| 0.147584
| 0.048203
| 0
| 0
| 0
| 0
| 0.048309
| 1
| 0.024155
| false
| 0.048309
| 0.038647
| 0
| 0.062802
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
9af09d55cdb3aa6f9b9ab513807769f2e9caf25e
| 67,869
|
py
|
Python
|
octopus_deploy_swagger_client/octopus_deploy_client/library_variable_sets_api.py
|
cvent/octopus-deploy-api-client
|
0e03e842e1beb29b132776aee077df570b88366a
|
[
"Apache-2.0"
] | null | null | null |
octopus_deploy_swagger_client/octopus_deploy_client/library_variable_sets_api.py
|
cvent/octopus-deploy-api-client
|
0e03e842e1beb29b132776aee077df570b88366a
|
[
"Apache-2.0"
] | null | null | null |
octopus_deploy_swagger_client/octopus_deploy_client/library_variable_sets_api.py
|
cvent/octopus-deploy-api-client
|
0e03e842e1beb29b132776aee077df570b88366a
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
Octopus Server API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 2019.6.7+Branch.tags-2019.6.7.Sha.aa18dc6809953218c66f57eff7d26481d9b23d6a
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from octopus_deploy_swagger_client.api_client import ApiClient
class LibraryVariableSetsApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def create_response_descriptor_variables_library_variable_set_library_variable_set_resource(self, **kwargs): # noqa: E501
"""Create a LibraryVariableSetResource # noqa: E501
Creates a new library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_response_descriptor_variables_library_variable_set_library_variable_set_resource(async_req=True)
>>> result = thread.get()
:param async_req bool
:param LibraryVariableSetResource library_variable_set_resource: The LibraryVariableSetResource resource to create
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.create_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(**kwargs) # noqa: E501
return data
def create_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(self, **kwargs): # noqa: E501
"""Create a LibraryVariableSetResource # noqa: E501
Creates a new library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param LibraryVariableSetResource library_variable_set_resource: The LibraryVariableSetResource resource to create
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['library_variable_set_resource'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_response_descriptor_variables_library_variable_set_library_variable_set_resource" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'library_variable_set_resource' in params:
body_params = params['library_variable_set_resource']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/libraryvariablesets', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='LibraryVariableSetResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def create_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(self, base_space_id, **kwargs): # noqa: E501
"""Create a LibraryVariableSetResource # noqa: E501
Creates a new library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(base_space_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param LibraryVariableSetResource library_variable_set_resource: The LibraryVariableSetResource resource to create
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501
else:
(data) = self.create_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501
return data
def create_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(self, base_space_id, **kwargs): # noqa: E501
"""Create a LibraryVariableSetResource # noqa: E501
Creates a new library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param LibraryVariableSetResource library_variable_set_resource: The LibraryVariableSetResource resource to create
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['base_space_id', 'library_variable_set_resource'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'base_space_id' is set
if ('base_space_id' not in params or
params['base_space_id'] is None):
raise ValueError("Missing the required parameter `base_space_id` when calling `create_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces`") # noqa: E501
collection_formats = {}
path_params = {}
if 'base_space_id' in params:
path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'library_variable_set_resource' in params:
body_params = params['library_variable_set_resource']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/{baseSpaceId}/libraryvariablesets', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='LibraryVariableSetResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action(self, id, **kwargs): # noqa: E501
"""custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action # noqa: E501
Lists projects and deployments which are using an library variable set. NOTE: This definition is not complete. We will be adding more detail in future releases of Octopus. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: ID of the resource (required)
:return: LibraryVariableSetUsageResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_with_http_info(id, **kwargs) # noqa: E501
return data
def custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_with_http_info(self, id, **kwargs): # noqa: E501
"""custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action # noqa: E501
Lists projects and deployments which are using an library variable set. NOTE: This definition is not complete. We will be adding more detail in future releases of Octopus. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: ID of the resource (required)
:return: LibraryVariableSetUsageResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/libraryvariablesets/{id}/usages', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='LibraryVariableSetUsageResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces(self, base_space_id, id, **kwargs): # noqa: E501
"""custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces # noqa: E501
Lists projects and deployments which are using an library variable set. NOTE: This definition is not complete. We will be adding more detail in future releases of Octopus. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces(base_space_id, id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param str id: ID of the resource (required)
:return: LibraryVariableSetUsageResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501
else:
(data) = self.custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501
return data
def custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces_with_http_info(self, base_space_id, id, **kwargs): # noqa: E501
"""custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces # noqa: E501
Lists projects and deployments which are using an library variable set. NOTE: This definition is not complete. We will be adding more detail in future releases of Octopus. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces_with_http_info(base_space_id, id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param str id: ID of the resource (required)
:return: LibraryVariableSetUsageResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['base_space_id', 'id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'base_space_id' is set
if ('base_space_id' not in params or
params['base_space_id'] is None):
raise ValueError("Missing the required parameter `base_space_id` when calling `custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces`") # noqa: E501
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `custom_action_response_descriptor_octopus_server_web_api_actions_library_variable_set_usage_list_action_spaces`") # noqa: E501
collection_formats = {}
path_params = {}
if 'base_space_id' in params:
path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/{baseSpaceId}/libraryvariablesets/{id}/usages', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='LibraryVariableSetUsageResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource(self, id, **kwargs): # noqa: E501
"""Delete a LibraryVariableSetResource by ID # noqa: E501
Deletes an existing library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: ID of the LibraryVariableSetResource to delete (required)
:return: TaskResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(id, **kwargs) # noqa: E501
return data
def delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(self, id, **kwargs): # noqa: E501
"""Delete a LibraryVariableSetResource by ID # noqa: E501
Deletes an existing library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: ID of the LibraryVariableSetResource to delete (required)
:return: TaskResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/libraryvariablesets/{id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='TaskResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(self, base_space_id, id, **kwargs): # noqa: E501
"""Delete a LibraryVariableSetResource by ID # noqa: E501
Deletes an existing library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(base_space_id, id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param str id: ID of the LibraryVariableSetResource to delete (required)
:return: TaskResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501
else:
(data) = self.delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501
return data
def delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(self, base_space_id, id, **kwargs): # noqa: E501
"""Delete a LibraryVariableSetResource by ID # noqa: E501
Deletes an existing library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param str id: ID of the LibraryVariableSetResource to delete (required)
:return: TaskResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['base_space_id', 'id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'base_space_id' is set
if ('base_space_id' not in params or
params['base_space_id'] is None):
raise ValueError("Missing the required parameter `base_space_id` when calling `delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces`") # noqa: E501
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `delete_on_background_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces`") # noqa: E501
collection_formats = {}
path_params = {}
if 'base_space_id' in params:
path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/{baseSpaceId}/libraryvariablesets/{id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='TaskResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def index_response_descriptor_variables_library_variable_set_library_variable_set_resource(self, **kwargs): # noqa: E501
"""Get a list of LibraryVariableSetResources # noqa: E501
Lists all of the library variable sets in the supplied Octopus Deploy Space. The results will be sorted alphabetically by name. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.index_response_descriptor_variables_library_variable_set_library_variable_set_resource(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int skip: Number of items to skip
:param int take: Number of items to take
:return: ResourceCollectionLibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.index_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.index_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(**kwargs) # noqa: E501
return data
def index_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(self, **kwargs): # noqa: E501
"""Get a list of LibraryVariableSetResources # noqa: E501
Lists all of the library variable sets in the supplied Octopus Deploy Space. The results will be sorted alphabetically by name. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.index_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int skip: Number of items to skip
:param int take: Number of items to take
:return: ResourceCollectionLibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['skip', 'take'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method index_response_descriptor_variables_library_variable_set_library_variable_set_resource" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'skip' in params:
query_params.append(('skip', params['skip'])) # noqa: E501
if 'take' in params:
query_params.append(('take', params['take'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/libraryvariablesets', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ResourceCollectionLibraryVariableSetResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def index_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(self, base_space_id, **kwargs): # noqa: E501
"""Get a list of LibraryVariableSetResources # noqa: E501
Lists all of the library variable sets in the supplied Octopus Deploy Space. The results will be sorted alphabetically by name. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.index_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(base_space_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param int skip: Number of items to skip
:param int take: Number of items to take
:return: ResourceCollectionLibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.index_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501
else:
(data) = self.index_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501
return data
def index_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(self, base_space_id, **kwargs): # noqa: E501
"""Get a list of LibraryVariableSetResources # noqa: E501
Lists all of the library variable sets in the supplied Octopus Deploy Space. The results will be sorted alphabetically by name. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.index_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param int skip: Number of items to skip
:param int take: Number of items to take
:return: ResourceCollectionLibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['base_space_id', 'skip', 'take'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method index_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'base_space_id' is set
if ('base_space_id' not in params or
params['base_space_id'] is None):
raise ValueError("Missing the required parameter `base_space_id` when calling `index_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces`") # noqa: E501
collection_formats = {}
path_params = {}
if 'base_space_id' in params:
path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501
query_params = []
if 'skip' in params:
query_params.append(('skip', params['skip'])) # noqa: E501
if 'take' in params:
query_params.append(('take', params['take'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/{baseSpaceId}/libraryvariablesets', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ResourceCollectionLibraryVariableSetResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource(self, **kwargs): # noqa: E501
"""Get a list of LibraryVariableSetResources # noqa: E501
Lists all the library variable sets in the supplied Octopus Deploy Space. The results will be sorted alphabetically by name. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[LibraryVariableSetResource]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(**kwargs) # noqa: E501
return data
def list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(self, **kwargs): # noqa: E501
"""Get a list of LibraryVariableSetResources # noqa: E501
Lists all the library variable sets in the supplied Octopus Deploy Space. The results will be sorted alphabetically by name. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[LibraryVariableSetResource]
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/libraryvariablesets/all', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[LibraryVariableSetResource]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(self, base_space_id, **kwargs): # noqa: E501
"""Get a list of LibraryVariableSetResources # noqa: E501
Lists all the library variable sets in the supplied Octopus Deploy Space. The results will be sorted alphabetically by name. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(base_space_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:return: list[LibraryVariableSetResource]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501
else:
(data) = self.list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501
return data
def list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(self, base_space_id, **kwargs): # noqa: E501
"""Get a list of LibraryVariableSetResources # noqa: E501
Lists all the library variable sets in the supplied Octopus Deploy Space. The results will be sorted alphabetically by name. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:return: list[LibraryVariableSetResource]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['base_space_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'base_space_id' is set
if ('base_space_id' not in params or
params['base_space_id'] is None):
raise ValueError("Missing the required parameter `base_space_id` when calling `list_all_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces`") # noqa: E501
collection_formats = {}
path_params = {}
if 'base_space_id' in params:
path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/{baseSpaceId}/libraryvariablesets/all', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[LibraryVariableSetResource]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def load_response_descriptor_variables_library_variable_set_library_variable_set_resource(self, id, **kwargs): # noqa: E501
"""Get a LibraryVariableSetResource by ID # noqa: E501
Gets a single library variable set by ID # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.load_response_descriptor_variables_library_variable_set_library_variable_set_resource(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: ID of the LibraryVariableSetResource to load (required)
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.load_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.load_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(id, **kwargs) # noqa: E501
return data
def load_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(self, id, **kwargs): # noqa: E501
"""Get a LibraryVariableSetResource by ID # noqa: E501
Gets a single library variable set by ID # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.load_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: ID of the LibraryVariableSetResource to load (required)
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method load_response_descriptor_variables_library_variable_set_library_variable_set_resource" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `load_response_descriptor_variables_library_variable_set_library_variable_set_resource`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/libraryvariablesets/{id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='LibraryVariableSetResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def load_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(self, base_space_id, id, **kwargs): # noqa: E501
"""Get a LibraryVariableSetResource by ID # noqa: E501
Gets a single library variable set by ID # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.load_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(base_space_id, id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param str id: ID of the LibraryVariableSetResource to load (required)
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.load_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501
else:
(data) = self.load_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501
return data
def load_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(self, base_space_id, id, **kwargs): # noqa: E501
"""Get a LibraryVariableSetResource by ID # noqa: E501
Gets a single library variable set by ID # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.load_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param str id: ID of the LibraryVariableSetResource to load (required)
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['base_space_id', 'id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method load_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'base_space_id' is set
if ('base_space_id' not in params or
params['base_space_id'] is None):
raise ValueError("Missing the required parameter `base_space_id` when calling `load_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces`") # noqa: E501
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `load_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces`") # noqa: E501
collection_formats = {}
path_params = {}
if 'base_space_id' in params:
path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/{baseSpaceId}/libraryvariablesets/{id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='LibraryVariableSetResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def modify_response_descriptor_variables_library_variable_set_library_variable_set_resource(self, id, **kwargs): # noqa: E501
"""Modify a LibraryVariableSetResource by ID # noqa: E501
Modifies an existing library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.modify_response_descriptor_variables_library_variable_set_library_variable_set_resource(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: ID of the LibraryVariableSetResource to modify (required)
:param LibraryVariableSetResource library_variable_set_resource: The LibraryVariableSetResource resource to create
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(id, **kwargs) # noqa: E501
return data
def modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(self, id, **kwargs): # noqa: E501
"""Modify a LibraryVariableSetResource by ID # noqa: E501
Modifies an existing library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: ID of the LibraryVariableSetResource to modify (required)
:param LibraryVariableSetResource library_variable_set_resource: The LibraryVariableSetResource resource to create
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id', 'library_variable_set_resource'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method modify_response_descriptor_variables_library_variable_set_library_variable_set_resource" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `modify_response_descriptor_variables_library_variable_set_library_variable_set_resource`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'library_variable_set_resource' in params:
body_params = params['library_variable_set_resource']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/libraryvariablesets/{id}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='LibraryVariableSetResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(self, base_space_id, id, **kwargs): # noqa: E501
"""Modify a LibraryVariableSetResource by ID # noqa: E501
Modifies an existing library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces(base_space_id, id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param str id: ID of the LibraryVariableSetResource to modify (required)
:param LibraryVariableSetResource library_variable_set_resource: The LibraryVariableSetResource resource to create
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501
else:
(data) = self.modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501
return data
def modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(self, base_space_id, id, **kwargs): # noqa: E501
"""Modify a LibraryVariableSetResource by ID # noqa: E501
Modifies an existing library variable set. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces_with_http_info(base_space_id, id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str base_space_id: ID of the space (required)
:param str id: ID of the LibraryVariableSetResource to modify (required)
:param LibraryVariableSetResource library_variable_set_resource: The LibraryVariableSetResource resource to create
:return: LibraryVariableSetResource
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['base_space_id', 'id', 'library_variable_set_resource'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'base_space_id' is set
if ('base_space_id' not in params or
params['base_space_id'] is None):
raise ValueError("Missing the required parameter `base_space_id` when calling `modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces`") # noqa: E501
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `modify_response_descriptor_variables_library_variable_set_library_variable_set_resource_spaces`") # noqa: E501
collection_formats = {}
path_params = {}
if 'base_space_id' in params:
path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'library_variable_set_resource' in params:
body_params = params['library_variable_set_resource']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501
return self.api_client.call_api(
'/api/{baseSpaceId}/libraryvariablesets/{id}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='LibraryVariableSetResource', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 48.305338
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0
| 8
|
9affb77bc3f9ab6ee186559cd6e8c8219e36da04
| 11,804
|
py
|
Python
|
migrations/versions/3a2162fd58de_.py
|
joeflack4/just-a-dash
|
3fabb6e5e69e5f1a9ea07cf58b7496d3a64b0c8a
|
[
"MIT"
] | 3
|
2019-06-27T13:29:07.000Z
|
2019-12-19T17:09:48.000Z
|
migrations/versions/3a2162fd58de_.py
|
joeflack4/just-a-dash
|
3fabb6e5e69e5f1a9ea07cf58b7496d3a64b0c8a
|
[
"MIT"
] | null | null | null |
migrations/versions/3a2162fd58de_.py
|
joeflack4/just-a-dash
|
3fabb6e5e69e5f1a9ea07cf58b7496d3a64b0c8a
|
[
"MIT"
] | 2
|
2019-06-29T16:04:01.000Z
|
2019-12-07T15:27:13.000Z
|
"""empty message
Revision ID: 3a2162fd58de
Revises: 633c71628a85
Create Date: 2016-04-03 11:25:44.460472
"""
# revision identifiers, used by Alembic.
revision = '3a2162fd58de'
down_revision = '633c71628a85'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please adjust! ###
op.create_table('customers',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name_last', sa.String(length=80), nullable=False),
sa.Column('name_first', sa.String(length=80), nullable=False),
sa.Column('name_prefix', sa.String(length=80), nullable=True),
sa.Column('name_suffix', sa.String(length=80), nullable=True),
sa.Column('name_middle', sa.String(length=80), nullable=True),
sa.Column('email1', sa.String(length=120), nullable=True),
sa.Column('email2', sa.String(length=120), nullable=True),
sa.Column('phone1', sa.String(length=20), nullable=True),
sa.Column('phone2', sa.String(length=20), nullable=True),
sa.Column('phone3', sa.String(length=20), nullable=True),
sa.Column('phone4', sa.String(length=20), nullable=True),
sa.Column('phone5', sa.String(length=20), nullable=True),
sa.Column('pii_dob', sa.String(length=10), nullable=True),
sa.Column('pii_other', sa.String(length=500), nullable=True),
sa.Column('phi', sa.String(length=500), nullable=True),
sa.Column('pfi', sa.String(length=500), nullable=True),
sa.Column('address_street', sa.String(length=50), nullable=True),
sa.Column('address_suite', sa.String(length=20), nullable=True),
sa.Column('address_state', sa.String(length=2), nullable=True),
sa.Column('address_county', sa.String(length=20), nullable=True),
sa.Column('address_zip', sa.String(length=5), nullable=True),
sa.Column('address_zip_extension', sa.String(length=4), nullable=True),
sa.Column('billing_method', sa.String(length=50), nullable=True),
sa.Column('billing_frequency', sa.String(length=50), nullable=True),
sa.Column('billing_relation_name', sa.String(length=50), nullable=True),
sa.Column('billing_email', sa.String(length=50), nullable=True),
sa.Column('billing_address_street', sa.String(length=50), nullable=True),
sa.Column('billing_address_suite', sa.String(length=20), nullable=True),
sa.Column('billing_address_state', sa.String(length=2), nullable=True),
sa.Column('billing_address_county', sa.String(length=20), nullable=True),
sa.Column('billing_address_zip', sa.String(length=5), nullable=True),
sa.Column('billing_address_zip_extension', sa.String(length=4), nullable=True),
sa.Column('billing_notes', sa.String(length=50), nullable=True),
sa.Column('relation_1_name', sa.String(length=100), nullable=True),
sa.Column('relation_1_role', sa.String(length=100), nullable=True),
sa.Column('relation_2_name', sa.String(length=100), nullable=True),
sa.Column('relation_2_role', sa.String(length=100), nullable=True),
sa.Column('relation_3_name', sa.String(length=100), nullable=True),
sa.Column('relation_3_role', sa.String(length=100), nullable=True),
sa.Column('relation_4_name', sa.String(length=100), nullable=True),
sa.Column('relation_4_role', sa.String(length=100), nullable=True),
sa.Column('relation_5_name', sa.String(length=100), nullable=True),
sa.Column('relation_5_role', sa.String(length=100), nullable=True),
sa.Column('customer_type', sa.String(length=100), nullable=True),
sa.Column('customer_type_id1', sa.String(length=100), nullable=True),
sa.Column('customer_type_id2', sa.String(length=100), nullable=True),
sa.Column('customer_type_id3', sa.String(length=100), nullable=True),
sa.Column('service_1_id', sa.String(length=100), nullable=True),
sa.Column('service_1_day', sa.String(length=100), nullable=True),
sa.Column('service_1_hours', sa.String(length=100), nullable=True),
sa.Column('service_1_type', sa.String(length=100), nullable=True),
sa.Column('service_1_rate', sa.String(length=10), nullable=True),
sa.Column('service_2_id', sa.String(length=100), nullable=True),
sa.Column('service_2_day', sa.String(length=100), nullable=True),
sa.Column('service_2_hours', sa.String(length=100), nullable=True),
sa.Column('service_2_type', sa.String(length=100), nullable=True),
sa.Column('service_2_rate', sa.String(length=10), nullable=True),
sa.Column('service_3_id', sa.String(length=100), nullable=True),
sa.Column('service_3_day', sa.String(length=100), nullable=True),
sa.Column('service_3_hours', sa.String(length=100), nullable=True),
sa.Column('service_3_type', sa.String(length=100), nullable=True),
sa.Column('service_3_rate', sa.String(length=10), nullable=True),
sa.Column('service_4_id', sa.String(length=100), nullable=True),
sa.Column('service_4_day', sa.String(length=100), nullable=True),
sa.Column('service_4_hours', sa.String(length=100), nullable=True),
sa.Column('service_4_type', sa.String(length=100), nullable=True),
sa.Column('service_4_rate', sa.String(length=10), nullable=True),
sa.Column('service_5_id', sa.String(length=100), nullable=True),
sa.Column('service_5_day', sa.String(length=100), nullable=True),
sa.Column('service_5_hours', sa.String(length=100), nullable=True),
sa.Column('service_5_type', sa.String(length=100), nullable=True),
sa.Column('service_5_rate', sa.String(length=10), nullable=True),
sa.Column('service_6_id', sa.String(length=100), nullable=True),
sa.Column('service_6_day', sa.String(length=100), nullable=True),
sa.Column('service_6_hours', sa.String(length=100), nullable=True),
sa.Column('service_6_type', sa.String(length=100), nullable=True),
sa.Column('service_6_rate', sa.String(length=10), nullable=True),
sa.Column('notes_case', sa.String(length=100), nullable=True),
sa.Column('notes_other', sa.String(length=100), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('admin_roles',
sa.Column('role', sa.String(length=20), nullable=False),
sa.Column('permission', sa.String(length=80), nullable=False),
sa.Column('read', sa.Boolean(), nullable=True),
sa.Column('write', sa.Boolean(), nullable=True),
sa.Column('update', sa.Boolean(), nullable=True),
sa.Column('delete', sa.Boolean(), nullable=True),
sa.PrimaryKeyConstraint('role')
)
op.create_table('personnel',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name_last', sa.String(length=80), nullable=False),
sa.Column('name_first', sa.String(length=80), nullable=False),
sa.Column('name_prefix', sa.String(length=80), nullable=True),
sa.Column('name_suffix', sa.String(length=80), nullable=True),
sa.Column('name_middle', sa.String(length=80), nullable=True),
sa.Column('email1', sa.String(length=120), nullable=True),
sa.Column('email2', sa.String(length=120), nullable=True),
sa.Column('phone1', sa.String(length=20), nullable=True),
sa.Column('phone2', sa.String(length=20), nullable=True),
sa.Column('phone3', sa.String(length=20), nullable=True),
sa.Column('phone4', sa.String(length=20), nullable=True),
sa.Column('phone5', sa.String(length=20), nullable=True),
sa.Column('pii_dob', sa.String(length=10), nullable=True),
sa.Column('pii_other', sa.String(length=500), nullable=True),
sa.Column('phi', sa.String(length=500), nullable=True),
sa.Column('pfi', sa.String(length=500), nullable=True),
sa.Column('address_street', sa.String(length=50), nullable=True),
sa.Column('address_suite', sa.String(length=20), nullable=True),
sa.Column('address_state', sa.String(length=2), nullable=True),
sa.Column('address_county', sa.String(length=20), nullable=True),
sa.Column('address_zip', sa.String(length=5), nullable=True),
sa.Column('address_zip_extension', sa.String(length=4), nullable=True),
sa.Column('relation_1_name', sa.String(length=100), nullable=True),
sa.Column('relation_1_notes', sa.String(length=100), nullable=True),
sa.Column('relation_2_name', sa.String(length=100), nullable=True),
sa.Column('relation_2_notes', sa.String(length=100), nullable=True),
sa.Column('notes_other', sa.String(length=100), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('group_roles',
sa.Column('id', sa.String(length=20), nullable=False),
sa.Column('permission', sa.String(length=80), nullable=False),
sa.Column('read', sa.Boolean(), nullable=True),
sa.Column('write', sa.Boolean(), nullable=True),
sa.Column('update', sa.Boolean(), nullable=True),
sa.Column('delete', sa.Boolean(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('contacts',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name_last', sa.String(length=80), nullable=False),
sa.Column('name_first', sa.String(length=80), nullable=False),
sa.Column('name_prefix', sa.String(length=80), nullable=True),
sa.Column('name_suffix', sa.String(length=80), nullable=True),
sa.Column('name_middle', sa.String(length=80), nullable=True),
sa.Column('email1', sa.String(length=120), nullable=True),
sa.Column('email2', sa.String(length=120), nullable=True),
sa.Column('phone1', sa.String(length=20), nullable=True),
sa.Column('phone2', sa.String(length=20), nullable=True),
sa.Column('phone3', sa.String(length=20), nullable=True),
sa.Column('phone4', sa.String(length=20), nullable=True),
sa.Column('phone5', sa.String(length=20), nullable=True),
sa.Column('pii_dob', sa.String(length=10), nullable=True),
sa.Column('pii_other', sa.String(length=500), nullable=True),
sa.Column('phi', sa.String(length=500), nullable=True),
sa.Column('pfi', sa.String(length=500), nullable=True),
sa.Column('address_street', sa.String(length=50), nullable=True),
sa.Column('address_suite', sa.String(length=20), nullable=True),
sa.Column('address_state', sa.String(length=2), nullable=True),
sa.Column('address_county', sa.String(length=20), nullable=True),
sa.Column('address_zip', sa.String(length=5), nullable=True),
sa.Column('address_zip_extension', sa.String(length=4), nullable=True),
sa.Column('relation_1_name', sa.String(length=100), nullable=True),
sa.Column('relation_1_notes', sa.String(length=100), nullable=True),
sa.Column('relation_2_name', sa.String(length=100), nullable=True),
sa.Column('relation_2_notes', sa.String(length=100), nullable=True),
sa.Column('notes_other', sa.String(length=100), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('agencies',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name', sa.String(length=80), nullable=False),
sa.Column('abbreviation', sa.String(length=20), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.add_column('user', sa.Column('admin_role', sa.String(length=20), nullable=True))
op.add_column('user', sa.Column('group_roles', sa.String(length=500), nullable=True))
op.drop_column('user', 'groups')
op.drop_column('user', 'permissions')
### end Alembic commands ###
def downgrade():
### commands auto generated by Alembic - please adjust! ###
op.add_column('user', sa.Column('permissions', sa.VARCHAR(length=500), autoincrement=False, nullable=True))
op.add_column('user', sa.Column('groups', sa.VARCHAR(length=500), autoincrement=False, nullable=True))
op.drop_column('user', 'group_roles')
op.drop_column('user', 'admin_role')
op.drop_table('agencies')
op.drop_table('contacts')
op.drop_table('group_roles')
op.drop_table('personnel')
op.drop_table('admin_roles')
op.drop_table('customers')
### end Alembic commands ###
| 56.75
| 111
| 0.700356
| 1,711
| 11,804
| 4.71654
| 0.070719
| 0.153656
| 0.24461
| 0.322181
| 0.920942
| 0.920322
| 0.900372
| 0.895787
| 0.869517
| 0.835688
| 0
| 0.044661
| 0.11225
| 11,804
| 207
| 112
| 57.024155
| 0.725451
| 0.024653
| 0
| 0.518519
| 0
| 0
| 0.17047
| 0.017334
| 0
| 0
| 0
| 0
| 0
| 1
| 0.010582
| false
| 0
| 0.010582
| 0
| 0.021164
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| null | 0
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| 0
|
0
| 8
|
b1206c7dd13b2bde46d9d5fc951ef89298040872
| 16,340
|
py
|
Python
|
tests/test_table_inline_formset.py
|
blasferna/crispy-tailwind
|
f1001e3b315f1c9d83c0a03b818cd21379784c79
|
[
"MIT"
] | null | null | null |
tests/test_table_inline_formset.py
|
blasferna/crispy-tailwind
|
f1001e3b315f1c9d83c0a03b818cd21379784c79
|
[
"MIT"
] | null | null | null |
tests/test_table_inline_formset.py
|
blasferna/crispy-tailwind
|
f1001e3b315f1c9d83c0a03b818cd21379784c79
|
[
"MIT"
] | null | null | null |
import django
from django.forms import formset_factory
from django.test import SimpleTestCase
from crispy_forms.helper import FormHelper
from crispy_forms.utils import render_crispy_form
from crispy_tailwind.layout import Submit
from .forms import SampleForm, ShortCharFieldForm
class CrispyHelperTests(SimpleTestCase):
maxDiff = None
def test_table_inline_formset(self):
SampleFormSet = formset_factory(SampleForm, extra=2)
formset = SampleFormSet()
formset.helper = FormHelper()
formset.helper.form_tag = False
formset.helper.add_input(Submit("submit", "submit"))
formset.helper.template = "tailwind/table_inline_formset.html"
html = render_crispy_form(formset)
expected_html = """
<div>
<input type="hidden" name="form-TOTAL_FORMS" value="2" id="id_form-TOTAL_FORMS" /> <input type="hidden" name="form-INITIAL_FORMS" value="0" id="id_form-INITIAL_FORMS" />
<input type="hidden" name="form-MIN_NUM_FORMS" value="0" id="id_form-MIN_NUM_FORMS" /> <input type="hidden" name="form-MAX_NUM_FORMS" value="1000" id="id_form-MAX_NUM_FORMS" />
</div>
<table class="table-auto">
<thead>
<tr>
<th for="id_form-0-is_company" class="px-4 py-2">
company
</th>
<th for="id_form-0-email" class="px-4 py-2">email<span class="asteriskField">*</span></th>
<th for="id_form-0-password1" class="px-4 py-2">password<span class="asteriskField">*</span></th>
<th for="id_form-0-password2" class="px-4 py-2">re-enter password<span class="asteriskField">*</span></th>
<th for="id_form-0-first_name" class="px-4 py-2">first name<span class="asteriskField">*</span></th>
<th for="id_form-0-last_name" class="px-4 py-2">last name<span class="asteriskField">*</span></th>
<th for="id_form-0-datetime_field" class="px-4 py-2">date time<span class="asteriskField">*</span></th>
<th for="id_form-0-tos_accepted" class="px-4 py-2">terms of service<span class="asteriskField">*</span></th>
</tr>
</thead>
<tbody>
<tr>
<td id="div_id_form-0-is_company" class="border px-4 py-2"><input type="checkbox" name="form-0-is_company" class=" checkboxinput" id="id_form-0-is_company" /></td>
<td id="div_id_form-0-email" class="border px-4 py-2">
<input
type="text"
name="form-0-email"
maxlength="30"
class="textinput textInput inputtext w-full border border-gray-300 focus:outline-none text-gray-700 px-4 bg-white leading-normal rounded-lg block py-2 appearance-none"
id="id_form-0-email"
/>
<small id="hint_id_form-0-email" class="text-gray-600">Insert your email</small>
</td>
<td id="div_id_form-0-password1" class="border px-4 py-2">
<input
type="password"
name="form-0-password1"
maxlength="30"
class="passwordinput w-full border border-gray-300 focus:outline-none text-gray-700 px-4 bg-white leading-normal rounded-lg block py-2 appearance-none"
id="id_form-0-password1"
/>
</td>
<td id="div_id_form-0-password2" class="border px-4 py-2">
<input
type="password"
name="form-0-password2"
maxlength="30"
class="passwordinput w-full border border-gray-300 focus:outline-none text-gray-700 px-4 bg-white leading-normal rounded-lg block py-2 appearance-none"
id="id_form-0-password2"
/>
</td>
<td id="div_id_form-0-first_name" class="border px-4 py-2">
<input
type="text"
name="form-0-first_name"
maxlength="5"
class="textinput textInput inputtext w-full border border-gray-300 focus:outline-none text-gray-700 px-4 bg-white leading-normal rounded-lg block py-2 appearance-none"
id="id_form-0-first_name"
/>
</td>
<td id="div_id_form-0-last_name" class="border px-4 py-2">
<input
type="text"
name="form-0-last_name"
maxlength="5"
class="textinput textInput inputtext w-full border border-gray-300 focus:outline-none text-gray-700 px-4 bg-white leading-normal rounded-lg block py-2 appearance-none"
id="id_form-0-last_name"
/>
</td>
<td id="div_id_form-0-datetime_field" class="border px-4 py-2">
<input
type="text"
name="form-0-datetime_field_0"
class="dateinput border border-gray-300 text-gray-700 focus:outline-none px-4 mr-2 bg-white focus:outline leading-normal rounded-lg py-2 appearance-none"
id="id_form-0-datetime_field_0"
/>
<input
type="text"
name="form-0-datetime_field_1"
class="timeinput border border-gray-300 text-gray-700 focus:outline-none px-4 mr-2 bg-white focus:outline leading-normal rounded-lg py-2 appearance-none"
id="id_form-0-datetime_field_1"
/>
</td>
<td id="div_id_form-0-tos_accepted" class="border px-4 py-2">
<div class="border px-4 py-2">
<div class="relative">
<select class="bg-white focus:outline-none border border-gray-300 rounded-lg py-2 px-4 block w-full appearance-none leading-normal text-gray-700" name="form-0-tos_accepted" id="id_form-0-tos_accepted">
<option value="accepted">Accepted</option>
<option value="not_accepted">Not accepted</option>
</select>
<div class="pointer-events-none absolute inset-y-0 right-0 flex items-center px-2 text-gray-700">
<svg class="fill-current h-4 w-4" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20"><path d="M9.293 12.95l.707.707L15.657 8l-1.414-1.414L10 10.828 5.757 6.586 4.343 8z" /></svg>
</div>
</div>
</div>
</td>
</tr>
<tr>
<td id="div_id_form-1-is_company" class="border px-4 py-2"><input type="checkbox" name="form-1-is_company" class=" checkboxinput" id="id_form-1-is_company" /></td>
<td id="div_id_form-1-email" class="border px-4 py-2">
<input
type="text"
name="form-1-email"
maxlength="30"
class="textinput textInput inputtext w-full border border-gray-300 focus:outline-none text-gray-700 px-4 bg-white leading-normal rounded-lg block py-2 appearance-none"
id="id_form-1-email"
/>
<small id="hint_id_form-1-email" class="text-gray-600">Insert your email</small>
</td>
<td id="div_id_form-1-password1" class="border px-4 py-2">
<input
type="password"
name="form-1-password1"
maxlength="30"
class="passwordinput w-full border border-gray-300 focus:outline-none text-gray-700 px-4 bg-white leading-normal rounded-lg block py-2 appearance-none"
id="id_form-1-password1"
/>
</td>
<td id="div_id_form-1-password2" class="border px-4 py-2">
<input
type="password"
name="form-1-password2"
maxlength="30"
class="passwordinput w-full border border-gray-300 focus:outline-none text-gray-700 px-4 bg-white leading-normal rounded-lg block py-2 appearance-none"
id="id_form-1-password2"
/>
</td>
<td id="div_id_form-1-first_name" class="border px-4 py-2">
<input
type="text"
name="form-1-first_name"
maxlength="5"
class="textinput textInput inputtext w-full border border-gray-300 focus:outline-none text-gray-700 px-4 bg-white leading-normal rounded-lg block py-2 appearance-none"
id="id_form-1-first_name"
/>
</td>
<td id="div_id_form-1-last_name" class="border px-4 py-2">
<input
type="text"
name="form-1-last_name"
maxlength="5"
class="textinput textInput inputtext w-full border border-gray-300 focus:outline-none text-gray-700 px-4 bg-white leading-normal rounded-lg block py-2 appearance-none"
id="id_form-1-last_name"
/>
</td>
<td id="div_id_form-1-datetime_field" class="border px-4 py-2">
<input
type="text"
name="form-1-datetime_field_0"
class="dateinput border border-gray-300 text-gray-700 focus:outline-none px-4 mr-2 bg-white focus:outline leading-normal rounded-lg py-2 appearance-none"
id="id_form-1-datetime_field_0"
/>
<input
type="text"
name="form-1-datetime_field_1"
class="timeinput border border-gray-300 text-gray-700 focus:outline-none px-4 mr-2 bg-white focus:outline leading-normal rounded-lg py-2 appearance-none"
id="id_form-1-datetime_field_1"
/>
</td>
<td id="div_id_form-1-tos_accepted" class="border px-4 py-2">
<div class="border px-4 py-2">
<div class="relative">
<select class="bg-white focus:outline-none border border-gray-300 rounded-lg py-2 px-4 block w-full appearance-none leading-normal text-gray-700" name="form-1-tos_accepted" id="id_form-1-tos_accepted">
<option value="accepted">Accepted</option>
<option value="not_accepted">Not accepted</option>
</select>
<div class="pointer-events-none absolute inset-y-0 right-0 flex items-center px-2 text-gray-700">
<svg class="fill-current h-4 w-4" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20"><path d="M9.293 12.95l.707.707L15.657 8l-1.414-1.414L10 10.828 5.757 6.586 4.343 8z" /></svg>
</div>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<div class="mt-3">
<div class="form-group">
<div class=""><input type="submit" name="submit" value="submit" class="bg-green-500 hover:bg-green-700 text-white font-bold py-2 px-4 rounded" id="submit-id-submit" /></div>
</div>
</div>
"""
self.assertHTMLEqual(html, expected_html)
def test_failing_table_inline_formset(self):
SampleFormSet = formset_factory(ShortCharFieldForm, extra=1, max_num=2, validate_max=True)
data = {
"name-0-name": "test",
"name-INITIAL_FORMS": "0",
"name-MIN_NUM_FORMS": "0",
"name-MAX_NUM_FORMS": "0",
"name-TOTAL_FORMS": "3",
}
formset = SampleFormSet(data=data, prefix="name")
formset.helper = FormHelper()
formset.helper.add_input(Submit("submit", "submit"))
formset.helper.template = "tailwind/table_inline_formset.html"
if django.VERSION < (3, 2):
formset.non_form_errors = ["Please submit at most 2 forms."]
html = render_crispy_form(formset)
expected_html = """
<form method="post">
<div> <input type="hidden" name="name-TOTAL_FORMS" value="3" id="id_name-TOTAL_FORMS"> <input type="hidden" name="name-INITIAL_FORMS" value="0" id="id_name-INITIAL_FORMS"> <input type="hidden" name="name-MIN_NUM_FORMS" value="0" id="id_name-MIN_NUM_FORMS"> <input type="hidden" name="name-MAX_NUM_FORMS" value="0" id="id_name-MAX_NUM_FORMS"> </div>
<div class="alert mb-4">
<div class="border border-red-400 rounded-b bg-red-100 px-4 py-3 text-red-700">
<ul>
<li>Please submit at most 2 forms.</li>
</ul>
</div>
</div>
<table class="table-auto">
<thead>
<tr>
<th for="id_name-0-name" class="px-4 py-2">
Name<span class="asteriskField">*</span> </th>
</tr>
</thead>
<tbody>
<tr>
<td id="div_id_name-0-name" class="border px-4 py-2"> <input type="text" name="name-0-name" value="test" maxlength="3" class="textinput textInput inputtext bg-white px-4 w-full appearance-none border py-2 focus:outline-none border-red-500 block rounded-lg leading-normal text-gray-700" id="id_name-0-name">
<p id="error_1_id_name-0-name" class="text-red-500 text-xs italic"><strong>Ensure this value has at most 3 characters (it has 4).</strong></p>
</td>
</tr>
<tr>
<td id="div_id_name-1-name" class="border px-4 py-2"> <input type="text" name="name-1-name" maxlength="3" class="textinput textInput inputtext bg-white px-4 w-full appearance-none border py-2 focus:outline-none border-gray-300 block rounded-lg leading-normal text-gray-700" id="id_name-1-name"> </td>
</tr>
<tr>
<td id="div_id_name-2-name" class="border px-4 py-2"> <input type="text" name="name-2-name" maxlength="3" class="textinput textInput inputtext bg-white px-4 w-full appearance-none border py-2 focus:outline-none border-gray-300 block rounded-lg leading-normal text-gray-700" id="id_name-2-name"> </td>
</tr>
</tbody>
</table>
<div class="mt-3">
<div class="form-group">
<div class=""> <input type="submit" name="submit" value="submit" class="bg-green-500 hover:bg-green-700 text-white font-bold py-2 px-4 rounded" id="submit-id-submit" /> </div>
</div>
</div>
</form>
"""
self.assertHTMLEqual(html, expected_html)
| 62.129278
| 367
| 0.501775
| 1,981
| 16,340
| 4.039879
| 0.100959
| 0.019493
| 0.019368
| 0.022492
| 0.882544
| 0.842184
| 0.788329
| 0.726977
| 0.698238
| 0.69424
| 0
| 0.052067
| 0.378213
| 16,340
| 262
| 368
| 62.366412
| 0.73563
| 0
| 0
| 0.606299
| 0
| 0.161417
| 0.91273
| 0.166401
| 0
| 0
| 0
| 0
| 0.007874
| 1
| 0.007874
| false
| 0.086614
| 0.027559
| 0
| 0.043307
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
b191346eb9e54e89470c0a2ec18b044a465e65fc
| 935
|
py
|
Python
|
PopUpNext_v2/parameters.py
|
stefanbirs/FMES
|
d31d36c9abb08a0388a02a9178df58c58d2ec506
|
[
"Apache-2.0"
] | 3
|
2018-10-13T20:15:10.000Z
|
2020-03-31T09:03:04.000Z
|
PopUpNext_v2/parameters.py
|
stefanbirs/FMES
|
d31d36c9abb08a0388a02a9178df58c58d2ec506
|
[
"Apache-2.0"
] | 2
|
2018-11-23T15:48:55.000Z
|
2018-11-23T15:50:54.000Z
|
PopUpNext_v2/parameters.py
|
stefanbirs/FMES
|
d31d36c9abb08a0388a02a9178df58c58d2ec506
|
[
"Apache-2.0"
] | 2
|
2018-10-13T20:15:12.000Z
|
2020-03-02T03:37:26.000Z
|
import a_star
import generate_citymap
# City Map
maze = [[0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 2, 0, 2, 1, 2, 0, 2, 0, 2, 0, 2, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 2, 0, 2, 1, 2, 0, 2, 0, 2, 0, 2, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 2, 0, 2, 1, 2, 0, 2, 0, 2, 0, 2, 0],
[1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0],
[1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0],
[0, 2, 0, 2, 1, 2, 0, 2, 1, 2, 0, 2, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 2, 0, 2, 1, 2, 0, 2, 1, 2, 0, 2, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0]]
tmaze = a_star.flip_matrix(maze) # Flipped City Map
eq_len = 13
len_x = eq_len # maze length x
len_y = eq_len # maze length y
size = (len_x, len_y)
# generates City Map with traffic density
#tmaze = generate_citymap.generate_city(size, (0.25))
| 32.241379
| 53
| 0.42246
| 223
| 935
| 1.713004
| 0.121076
| 0.340314
| 0.39267
| 0.376963
| 0.439791
| 0.434555
| 0.410995
| 0.410995
| 0.410995
| 0.410995
| 0
| 0.28201
| 0.340107
| 935
| 28
| 54
| 33.392857
| 0.337115
| 0.15508
| 0
| 0.35
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.1
| 0
| 0.1
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
4952e0ca73bda7ed533f9b9bf52adad972385f44
| 58,945
|
py
|
Python
|
keras_utils.py
|
sashkarivkind/imagewalker
|
999e1ae78cfe1512e1be894d9e7891a7d0c41233
|
[
"Apache-2.0"
] | 2
|
2021-04-28T13:33:45.000Z
|
2021-11-09T14:31:09.000Z
|
keras_utils.py
|
sashkarivkind/imagewalker
|
999e1ae78cfe1512e1be894d9e7891a7d0c41233
|
[
"Apache-2.0"
] | null | null | null |
keras_utils.py
|
sashkarivkind/imagewalker
|
999e1ae78cfe1512e1be894d9e7891a7d0c41233
|
[
"Apache-2.0"
] | 1
|
2021-03-07T13:25:59.000Z
|
2021-03-07T13:25:59.000Z
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Some order to the code - the utils!
"""
from __future__ import division, print_function, absolute_import
import numpy as np
import cv2
import misc
from RL_networks import Stand_alone_net
import pandas as pd
import random
import os
# import importlib
# importlib.reload(misc)
import matplotlib.pyplot as plt
import SYCLOP_env as syc
import tensorflow as tf
import tensorflow.keras as keras
#Define function for low resolution lens on syclop
def bad_res101(img,res):
sh=np.shape(img)
dwnsmp=cv2.resize(img,res, interpolation = cv2.INTER_CUBIC)
upsmp = cv2.resize(dwnsmp,sh[:2], interpolation = cv2.INTER_CUBIC)
return upsmp
def bad_res102(img,res):
sh=np.shape(img)
dwnsmp=cv2.resize(img,res, interpolation = cv2.INTER_CUBIC)
return dwnsmp
def create_trajectory(starting_point, sample = 5, style = 'brownian', noise = 0.15, step_size = 0.8):
steps = []
phi = np.random.randint(0.1,2*np.pi) #the angle in polar coordinates
speed = step_size#np.abs(0.5 + np.random.normal(0,0.5)) #Constant added to the radios
r = 3
name_list = ['const direction + noise','ZigZag','spiral', 'brownian','degenerate']
speed_noise = speed * 0.2
phi_noise = 0.05
x, y = starting_point[1], starting_point[0]
steps.append([y,x])
phi_speed = (1/8)*np.pi
old_style = style
for j in range(sample-1):
style = old_style
if style == 'mix':
old_style = 'mix'
style = random.sample(name_list, 1)
if style == 'const_p_noise':
r += speed + np.random.normal(-0.5,speed_noise)
phi_noise = noise
phi_speed = np.random.normal(0,phi_noise)
phi += phi_speed
elif style == 'ZigZag':
r += speed + np.random.normal(-0.5,speed_noise)
phi_noise = 0.005
phi_speed *= -1
phi += phi_speed + np.random.normal(0,phi_noise)
elif style == 'spiral':
r += speed/2 + np.random.normal(-0.5,speed_noise)
phi_noise = 0.1
phi_speed = np.random.normal((2/4)*np.pi,(1/8)*np.pi)
factor = 1#np.random.choice([-1,1])
phi += factor * phi_speed
elif style == 'big_steps':
r += speed/2 + np.random.normal(-0.5,speed_noise)
phi_noise = 0.1
phi_speed = np.random.normal((2/4)*np.pi,(1/8)*np.pi)
factor = np.random.choice([-1,1])
phi += factor * phi_speed
elif style == 'brownian':
r += speed/2 + np.random.normal(-0.5,speed_noise)
phi = np.random.randint(0.1,2*np.pi)
elif style == 'degenerate':
r += speed + np.random.normal(-0.5,speed_noise)
elif style == 'old':
starting_point += np.random.randint(-2,3,2)
r = 0
phi = 0
x, y = starting_point[1] + int(r * np.cos(phi)), starting_point[0]+int(r * np.sin(phi))
steps.append([y,x])
return steps
#The Dataset formation
def create_mnist_dataset(images, labels, res, sample = 5, mixed_state = True, add_traject = True,
trajectory_list=None,return_datasets=False, add_seed = 20, show_fig = False,
mix_res = False, bad_res_func = bad_res102, up_sample = False):
'''
Creates a torch dataloader object of syclop outputs
from a list of images and labels.
Parameters
----------
images : List object holding the images to proces
labels : List object holding the labels
res : resolution dawnsampling factor - to be used in cv.resize(orig_img, res)
sample: the number of samples to have in syclop
mixed_state : if False, use the same trajectory on every image.
trajectory_list : uses a preset trajectory from the list.
return_datasets: rerutns datasets rather than dataloaders
add_seed : creates a random seed option to have a limited number of random
trajectories, default = 20 (number of trajectories)
show_fig : to show or not an example of the dataset, defoult = False
mix_res : Weather or not to create a mix of resolution in each call to
the dataset, to use to learn if the network is able to learn
mixed resolution to gain better performance in the lower res
part. default =
bed_res_func : The function that creats the bad resolution images
up_sample : weather the bad_res_func used up sampling or not, it changes the central view
values.
Returns
-------
train_dataloader, test_dataloader - torch DataLoader class objects
'''
count = 0
ts_images = []
dvs_images = []
q_seq = []
count = 0
res_orig = res * 1
if show_fig:
#create subplot to hold examples from the dataset
fig, ax = plt.subplots(2,5)
i = 0 #indexises for the subplot for image and for syclop vision
for img_num,img in enumerate(images):
if add_seed:
np.random.seed(random.randint(0,add_seed))
if mix_res:
res = random.randint(6,10)
if img_num >= 55000:
res = res_orig
orig_img = np.reshape(img,[28,28])
#Set the padded image
img=misc.build_mnist_padded(1./256*np.reshape(img,[1,28,28]))
if img_num == 42:
print('Are we random?', np.random.randint(1,20))
if show_fig:
if count < 5:
ax[0,i].imshow(orig_img)
plt.title(labels[count])
#Set the sensor and the agent
scene = syc.Scene(image_matrix=img)
if up_sample:
sensor = syc.Sensor(winx=56,winy=56,centralwinx=28,centralwiny=28,
resolution_fun = lambda x: bad_res_func(x,(res,res)), resolution_fun_type = 'down')
else:
sensor = syc.Sensor(winx=56,winy=56,centralwinx=res//2,centralwiny=res//2,
resolution_fun = lambda x: bad_res_func(x,(res,res)), resolution_fun_type = 'down')
agent = syc.Agent(max_q = [scene.maxx-sensor.hp.winx,scene.maxy-sensor.hp.winy])
#Setting the coordinates to visit
if trajectory_list is None:
starting_point = np.array([agent.max_q[0]//2,agent.max_q[1]//2])
steps = []
for j in range(sample):
steps.append(starting_point*1)
starting_point += np.random.randint(-5,5,2)
if mixed_state:
q_sequence = np.array(steps).astype(int)
else:
if count == 0:
q_sequence = np.array(steps).astype(int)
else:
q_sequence = np.array(trajectory_list[img_num]).astype(int)
#Setting the resolution function - starting with the regular resolution
#Create empty lists to store the syclops outputs
imim=[]
dimim=[]
agent.set_manual_trajectory(manual_q_sequence=q_sequence)
#Run Syclop for 20 time steps
for t in range(len(q_sequence)):
agent.manual_act()
sensor.update(scene, agent)
############################################################################
#############CHANGED FROM sensor.central_frame_view TO sensor.frame_view####
############################################################################
imim.append(sensor.frame_view)
dimim.append(sensor.dvs_view)
#Create a unified matrix from the list
if show_fig:
if count < 5:
ax[1,i].imshow(imim[0])
plt.title(labels[count])
i+=1
imim = np.array(imim)
dimim = np.array(dimim)
#Add current proccessed image to lists
ts_images.append(imim)
dvs_images.append(dimim)
q_seq.append(q_sequence/128)
count += 1
if add_traject: #If we add the trjectories the train list will become a list of lists, the images and the
#corrosponding trajectories, we will change the dataset structure as well. Note the the labels stay the same.
ts_train = (ts_images[:55000], q_seq[:55000])
train_labels = labels[:55000]
ts_val = (ts_images[55000:], q_seq[55000:])
val_labels = labels[55000:]
else:
ts_train = ts_images[:55000]
train_labels = labels[:55000]
ts_val = ts_images[55000:]
val_labels = labels[55000:]
dvs_train = dvs_images[:55000]
dvs_val = dvs_images[55000:]
class mnist_dataset():
def __init__(self, data, labels, add_traject = False, transform = None):
self.data = data
self.labels = labels
self.add_traject = add_traject
self.transform = transform
def __len__(self):
if self.add_traject:
return len(self.data[0])
else: return len(self.data[0])
def __getitem__(self, idx):
'''
args idx (int) : index
returns: tuple(data, label)
'''
if self.add_traject:
img_data = self.data[0][idx]
traject_data = self.data[1][idx]
label = self.labels[idx]
return img_data, traject_data, label
else:
data = self.data[idx]
if self.transform:
data = self.transform(data)
return data, label
else:
return data, label
def dataset(self):
return self.data
def labels(self):
return self.labels
train_dataset = mnist_dataset(ts_train, train_labels,add_traject = True)
test_dataset = mnist_dataset(ts_val, val_labels,add_traject = True)
batch = 64
if return_datasets:
return train_dataset, test_dataset
#The Dataset formation
def print_traject(images, labels, res, sample = 5, mixed_state = True, add_traject = True,
trajectory_list=0,return_datasets=False, add_seed = True, show_fig = False,
bad_res_func = bad_res102, up_sample = False):
'''
Creates a torch dataloader object of syclop outputs
from a list of images and labels.
Parameters
----------
images : List object holding the images to proces
labels : List object holding the labels
res : resolution dawnsampling factor - to be used in cv.resize(orig_img, res)
sample: the number of samples to have in syclop
mixed_state : if False, use the same trajectory on every image.
return_datasets: rerutns datasets rather than dataloaders
Returns
-------
train_dataloader, test_dataloader - torch DataLoader class objects
'''
count = 0
ts_images = []
dvs_images = []
q_seq = []
count = 0
if show_fig:
#create subplot to hold examples from the dataset
fig, ax = plt.subplots(2,5)
i = 0 #indexises for the subplot for image and for syclop vision
for img_num,img in enumerate(images):
if add_seed:
np.random.seed(random.randint(0,add_seed))
orig_img = img*1
#Set the padded image
img=misc.build_cifar_padded(1./256*img)
img_size = img.shape
if img_num == 42:
print('Are we Random?? ', np.random.randint(1,20))
if show_fig:
if count < 5:
ax[0,i].imshow(orig_img)
plt.title(labels[count])
#Set the sensor and the agent
scene = syc.Scene(image_matrix=img)
if up_sample:
sensor = syc.Sensor(winx=56,winy=56,centralwinx=32,centralwiny=32,nchannels = 3,resolution_fun = lambda x: bad_res_func(x,(res,res)), resolution_fun_type = 'down')
else:
sensor = syc.Sensor(winx=56,winy=56,centralwinx=res//2,centralwiny=res//2,nchannels = 3,resolution_fun = lambda x: bad_res102(x,(res,res)), resolution_fun_type = 'down')
agent = syc.Agent(max_q = [scene.maxx-sensor.hp.winx,scene.maxy-sensor.hp.winy])
#Setting the coordinates to visit
if type(trajectory_list) is int:
if trajectory_list:
np.random.seed(trajectory_list)
starting_point = np.array([agent.max_q[0]//2,agent.max_q[1]//2])
steps = []
for j in range(sample):
steps.append(starting_point*1)
starting_point += np.random.randint(-5,5,2)
if mixed_state:
q_sequence = np.array(steps).astype(int)
else:
if count == 0:
q_sequence = np.array(steps).astype(int)
else:
q_sequence = np.array(trajectory_list[img_num]).astype(int)
if count == 0 :
print(q_sequence.shape)
print(q_sequence)
def create_cifar_dataset(images, labels, res, sample = 5, mixed_state = True, add_traject = True,
trajectory_list=0,return_datasets=False, add_seed = True, show_fig = False,
bad_res_func = bad_res102, up_sample = False, broadcast = 0,
style = 'brownian', noise = 0.15, max_length = 20):
'''
Creates a torch dataloader object of syclop outputs
from a list of images and labels.
Parameters
----------
images : List object holding the images to proces
labels : List object holding the labels
res : resolution dawnsampling factor - to be used in cv.resize(orig_img, res)
sample: the number of samples to have in syclop
mixed_state : if False, use the same trajectory on every image.
return_datasets: rerutns datasets rather than dataloaders
Returns
-------
train_dataloader, test_dataloader - torch DataLoader class objects
'''
if sample > max_length:
max_length = sample
print('max_length ({}) must be >= sample ({}), changed max_length to be == sample'.format(max_length, sample))
count = 0
ts_images = []
dvs_images = []
q_seq = []
seed_list = []
count = 0
if mixed_state:
np.random.seed(42)
new_seed = 42
if show_fig:
#create subplot to hold examples from the dataset
fig, ax = plt.subplots(2,5)
i = 0 #indexises for the subplot for image and for syclop vision
for img_num,img in enumerate(images):
if add_seed:
new_seed = random.randint(0,add_seed)
np.random.seed(new_seed)
orig_img = img*1
#Set the padded image
img=misc.build_cifar_padded(1./256*img)
img_size = img.shape
if img_num == 42:
print('Are we Random?? ', np.random.randint(1,20))
if show_fig:
if count < 5:
ax[0,i].imshow(orig_img)
plt.title(labels[count])
#Set the sensor and the agent
scene = syc.Scene(image_matrix=img)
if up_sample:
sensor = syc.Sensor(winx=56,winy=56,centralwinx=32,centralwiny=32,nchannels = 3,resolution_fun = lambda x: bad_res_func(x,(res,res)), resolution_fun_type = 'down')
else:
sensor = syc.Sensor(winx=32,winy=32,centralwinx=res//2,centralwiny=res//2,nchannels = 3,resolution_fun = lambda x: bad_res102(x,(res,res)), resolution_fun_type = 'down')
agent = syc.Agent(max_q = [scene.maxx-sensor.hp.winx,scene.maxy-sensor.hp.winy])
#Setting the coordinates to visit
if type(trajectory_list) is int:
if trajectory_list:
np.random.seed(trajectory_list)
starting_point = np.array([agent.max_q[0]//2,agent.max_q[1]//2])
steps = create_trajectory(starting_point= starting_point,
sample = sample,
style = style,
noise = noise)
if mixed_state:
seed_list.append(new_seed)
q_sequence = np.array(steps).astype(int)
else:
if count == 0:
q_sequence = np.array(steps).astype(int)
else:
q_sequence = np.array(trajectory_list[img_num]).astype(int)
if count == 0 :
print(q_sequence.shape)
#Create empty lists to store the syclops outputs
imim=[]
dimim=[]
agent.set_manual_trajectory(manual_q_sequence=q_sequence)
#Run Syclop for 20 time steps
for t in range(len(q_sequence)):
agent.manual_act()
sensor.update(scene, agent)
############################################################################
#############CHANGED FROM sensor.central_frame_view TO sensor.frame_view####
############################################################################
imim.append(sensor.frame_view)
dimim.append(sensor.dvs_view)
#Create a unified matrix from the list
if show_fig:
if count < 5:
ax[1,i].imshow(imim[0])
plt.title(labels[count])
i+=1
#imim shape [sample,res,res,3]
imim = np.array(imim)
dimim = np.array(dimim)
#Add current proccessed image to lists
ts_images.append(imim)
dvs_images.append(dimim)
if broadcast==1:
broadcast_place = np.ones(shape = [sample,res,res,2])
for i in range(sample):
broadcast_place[i,:,:,0] *= q_sequence[i,0]
broadcast_place[i,:,:,1] *= q_sequence[i,1]
q_seq.append(broadcast_place/img_size[0])
else:
q_seq.append(q_sequence/img_size[0])
count += 1
print(q_sequence)
#pre pad all images to max_length
for idx, image in enumerate(ts_images):
image_base = np.zeros(shape = [max_length, res, res, 3])
if broadcast==1:
seq_base = np.zeros(shape = [max_length, res, res, 2])
else:
seq_base = np.zeros([max_length, 2])
image_base[-len(imim):] = image
seq_base[-len(q_sequence):] = q_seq[idx]
ts_images[idx] = image_base * 1
q_seq[idx] = seq_base * 1
if add_traject: #If we add the trjectories the train list will become a list of lists, the images and the
#corrosponding trajectories, we will change the dataset structure as well. Note the the labels stay the same.
ts_train = (ts_images[:45000], q_seq[:45000])
train_labels = labels[:45000]
ts_val = (ts_images[45000:], q_seq[45000:])
val_labels = labels[45000:]
else:
ts_train = ts_images[:45000]
train_labels = labels[:45000]
ts_val = ts_images[45000:]
val_labels = labels[45000:]
dvs_train = dvs_images[:45000]
dvs_val = dvs_images[45000:]
class cifar_dataset():
def __init__(self, data, labels, add_traject = False, transform = None):
self.data = data
self.labels = labels
self.add_traject = add_traject
self.transform = transform
def __len__(self):
if self.add_traject:
return len(self.data[0])
else: return len(self.data[0])
def __getitem__(self, idx):
'''
args idx (int) : index
returns: tuple(data, label)
'''
if self.add_traject:
img_data = self.data[0][idx]
traject_data = self.data[1][idx]
label = self.labels[idx]
return img_data, traject_data, label
else:
data = self.data[idx]
if self.transform:
data = self.transform(data)
return data, label
else:
return data, label
def dataset(self):
return self.data
def labels(self):
return self.labels
train_dataset = cifar_dataset(ts_train, train_labels,add_traject = add_traject)
test_dataset = cifar_dataset(ts_val, val_labels,add_traject = add_traject)
if return_datasets:
if mixed_state:
return train_dataset, test_dataset, seed_list
else:
return train_dataset, test_dataset
def mnist_split_dataset_xy(dataset,n_timesteps=5):
dataset_x1 = [uu[0] for uu in dataset]
dataset_x2 = [uu[1] for uu in dataset]
dataset_y = [uu[-1] for uu in dataset]
return (np.array(dataset_x1)[...,np.newaxis],np.array(dataset_x2)[:,:n_timesteps,:]),np.array(dataset_y)
def split_dataset_xy(dataset,sample,one_random_sample=False, return_x1_only=False):
dataset_x1 = [uu[0] for uu in dataset]
dataset_x2 = [uu[1] for uu in dataset]
dataset_y = [uu[-1] for uu in dataset]
if one_random_sample: #returning one random sample from each sequence (used in baseline tests)
data_len = np.shape(dataset_x1)[0]
indx = list(range(data_len))
pick_sample = np.random.randint(sample,size=data_len)
if return_x1_only:
return np.array(dataset_x1)[indx,pick_sample,...], np.array(dataset_y) #todo: understand why we need a new axis here!
# return np.array(dataset_x1)[indx,pick_sample,...,np.newaxis], np.array(dataset_y)
else:
return (np.array(dataset_x1)[indx,pick_sample,...,np.newaxis],np.array(dataset_x2)[:,:sample,:]),np.array(dataset_y) #todo: understand why there is an extra axis here??
else:
if return_x1_only:
return np.array(dataset_x1),np.array(dataset_y)
else:
return (np.array(dataset_x1)[...,np.newaxis],np.array(dataset_x2)[:,:sample,:]),np.array(dataset_y) #todo: understand why there is an extra axis here??
def write_to_file(history, net,paramaters, dataset_number):
file_name = 'summary_file_{}_{}.txt'.format(net.name, dataset_number)
if os.path.isfile('/home/labs/ahissarlab/orra/imagewalker/cifar_net_search/{}'.format(file_name)):
file = open('/home/labs/ahissarlab/orra/imagewalker/cifar_net_search/{}'.format(file_name), 'a')
else:
file = open('/home/labs/ahissarlab/orra/imagewalker/cifar_net_search/{}'.format(file_name), 'x')
from datetime import datetime
file.write('#####################\n')
now = datetime.now()
now = now.strftime("%d/%m/%Y %H:%M:%S")
file.write(now + '\n')
file.write(str(paramaters) + "\n")
max_test = max(history.history['val_sparse_categorical_accuracy'])
max_location = np.argmax(history.history['val_sparse_categorical_accuracy'])
mean_last_20 = np.mean(history.history['val_sparse_categorical_accuracy'][-20:])
max_train = max((history.history['sparse_categorical_accuracy']))
when_train_reached_test_max = np.where(np.array(history.history['sparse_categorical_accuracy']) > max_test )
if len(when_train_reached_test_max)>1:
when_train_reached_test_max = when_train_reached_test_max[0]
summary_of_run = "max_test = {}, max_location = {}, mean_last_20 = {}, max_train = {}, when_train_reached_test_max = {}\n".\
format(max_test,max_location,mean_last_20,max_train,when_train_reached_test_max)
file.write(summary_of_run)
file.close()
def dataset_update(history, net, parameters, dataset_number):
file_name = 'summary_dataframe_{}_{}.pkl'.format(net.name, dataset_number)
if os.path.isfile('/home/labs/ahissarlab/orra/imagewalker/cifar_net_search/{}'.format(file_name)):
dataframe = pd.read_pickle('/home/labs/ahissarlab/orra/imagewalker/cifar_net_search/{}'.format(file_name))
else:
dataframe = pd.DataFrame()
values_to_add = parameters
values_to_add['max_test'] = max(history.history['val_sparse_categorical_accuracy'])
values_to_add['max_location'] = np.argmax(history.history['val_sparse_categorical_accuracy'])
values_to_add['mean_last_20'] = np.mean(history.history['val_sparse_categorical_accuracy'][-20:])
values_to_add['max_train'] = max((history.history['sparse_categorical_accuracy']))
values_to_add['when_train_reached_test_max'] = np.where(np.array(history.history['sparse_categorical_accuracy']) > parameters["max_test"] )
if len(values_to_add['when_train_reached_test_max'])>1:
values_to_add['when_train_reached_test_max'] = values_to_add['when_train_reached_test_max'][0]
dataframe = dataframe.append(values_to_add, ignore_index = True)
dataframe.to_pickle('/home/labs/ahissarlab/orra/imagewalker/cifar_net_search/{}'.format(file_name))
#######################################################################################################################
############################### KERAS NETWORKS ########################################################################
############################### #####################################(base) orram@orram-Latitude-3400:~$ scp /home/orram/Docum###################################
#######################################################################################################################
def rnn_model(n_timesteps = 5, cell_size = 128, input_size = 28,input_dim = 3, concat = True):
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,input_dim))
inputB = keras.layers.Input(shape=(n_timesteps,2))
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(inputA)
print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(x1)
print(x1.shape)
# x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
# print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
if concat:
x = keras.layers.Concatenate()([x1,inputB])
else:
x = x1
print(x.shape)
# define LSTM model
x = keras.layers.GRU(cell_size,input_shape=(n_timesteps, None),return_sequences=False)(x)
print(x.shape)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'rnn_model_{}'.format(concat))
opt=tf.keras.optimizers.Adam(lr=1e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def extended_rnn_model(n_timesteps = 5, hidden_size = 128,input_size = 32, concat = True):
'''
CNN RNN combination that extends the CNN to a network that achieves
~80% accuracy on full res cifar.
Parameters
----------
n_timesteps : TYPE, optional
DESCRIPTION. The default is 5.
img_dim : TYPE, optional
DESCRIPTION. The default is 32.
hidden_size : TYPE, optional
DESCRIPTION. The default is 128.
input_size : TYPE, optional
DESCRIPTION. The default is 32.
Returns
-------
model : TYPE
DESCRIPTION.
'''
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,3))
inputB = keras.layers.Input(shape=(n_timesteps,2))
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu', padding = 'same'))(inputA)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(0.2))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(0.2))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(0.2))(x1)
print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
if concat:
x = keras.layers.Concatenate()([x1,inputB])
else:
x = x1
print(x.shape)
# define LSTM model
x = keras.layers.GRU(hidden_size,input_shape=(n_timesteps, None),return_sequences=True)(x)
x = keras.layers.Flatten()(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'extended_rnn_model_{}'.format(concat))
opt=tf.keras.optimizers.Adam(lr=1e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def rnn_model_dense(n_timesteps = 5, gru_size = 128):
inputA = keras.layers.Input(shape=(n_timesteps,28,28,1))
inputB = keras.layers.Input(shape=(n_timesteps,2))
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(inputA)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(x1)
print(x1.shape)
# x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
# print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
x = keras.layers.Concatenate()([x1,inputB])
print(x.shape)
x=keras.layers.TimeDistributed(keras.layers.Dense(x.shape[2]))(x)
print(x.shape)
# define LSTM model
x = keras.layers.GRU(gru_size,input_shape=(n_timesteps, None),return_sequences=False)(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'rnn_model_dense')
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def rnn_model_concat_conv(n_timesteps = 5, gru_size = 128):
#NEED TO DO
inputA = keras.layers.Input(shape=(n_timesteps,28,28,1))
inputB = keras.layers.Input(shape=(n_timesteps,2))
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(inputA)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(x1)
x2=keras.layers.TimeDistributed(keras.layers.Conv2D(5,(3,3),activation='relu'))(np.ones([3,3,5]))
print(x2.shape)
print(x1.shape)
print(inputB[:,:,0].shape)
print(inputB[:,:,0]*np.ones([3,3,5]).shape)
x1 = keras.layers.Concatenate(axis = 4)([x1,inputB*np.ones([3,3,2])])
print(x1.shape)
# x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
# print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
x = x1
print(x.shape)
x=keras.layers.TimeDistributed(keras.layers.Dense(x.shape[2]))(x)
print(x.shape)
# define LSTM model
x = keras.layers.GRU(gru_size,input_shape=(n_timesteps, None),return_sequences=False)(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'rnn_model_concat_conv')
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def rnn_model_concat_same_length(n_timesteps = 5, gru_size = 128):
# NEED TO DO!
inputA = keras.layers.Input(shape=(n_timesteps,28,28,1))
inputB = keras.layers.Input(shape=(n_timesteps,2))
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(inputA)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(x1)
print(x1.shape)
# x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
# print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
x2 = keras.layers.Concatenate()([inputB,inputB])
for i in range(x1.shape[-1]//2 - x2.shape[-1]):
x2 = keras.layers.Concatenate()([x2,inputB])
print(x2.shape)
x = keras.layers.Concatenate()([x1,x2])
print(x.shape)
x=keras.layers.TimeDistributed(keras.layers.Dense(x.shape[2]))(x)
print(x.shape)
# define LSTM model
x = keras.layers.GRU(gru_size,input_shape=(n_timesteps, None),return_sequences=False)(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'rnn_model_concat_same_length')
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"]
)
return model
def simple_vanila_model(n_timesteps = 5, cell_size = 128):
inputA = keras.layers.Input(shape=(n_timesteps,28,28,1))
inputB = keras.layers.Input(shape=(n_timesteps,2))
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(inputA)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(x1)
print(x1.shape)
# x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
# print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
x = x1
print(x.shape)
# define LSTM model
x = keras.layers.SimpleRNN(cell_size,input_shape=(n_timesteps, None),return_sequences=False)(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'simple_vanila_model')
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def cnn_one_img(n_timesteps = 5, input_size = 28, input_dim = 1):
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,input_dim))
inputB = keras.layers.Input(shape=(n_timesteps,2))
print(inputA[:,0,:,:,:].shape)
# define CNN model
x1=keras.layers.Conv2D(16,(3,3),activation='relu')(inputA[:,0,:,:,:])
x1=keras.layers.BatchNormalization()(x1)
x1=keras.layers.MaxPooling2D(pool_size=(2, 2))(x1)
x1=keras.layers.Conv2D(32,(3,3),activation='relu')(x1)
x1=keras.layers.BatchNormalization()(x1)
x1=keras.layers.MaxPooling2D(pool_size=(2, 2))(x1)
x1=keras.layers.Conv2D(16,(3,3),activation='relu')(x1)
print(x1.shape)
# x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
# print(x1.shape)
x1=keras.layers.Flatten()(x1)
print(x1.shape)
x = keras.layers.Dense(10,activation="softmax")(x1)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'cnn_one_img')
opt=tf.keras.optimizers.Adam(lr=1e-4)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def extended_cnn_one_img(n_timesteps = 5, input_size = 32 ,dropout = 0.2):
'''
Takes only the first image from the burst and pass it trough a net that
aceives ~80% accuracy on full res cifar.
'''
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,3))
inputB = keras.layers.Input(shape=(n_timesteps,2))
print(inputA[:,0,:,:,:].shape)
# define CNN model
index = np.random.randint(0,n_timesteps)
x1=keras.layers.Conv2D(32,(3,3),activation='relu', padding = 'same')(inputA[:,index,:,:,:])
print(x1.shape)
x1=keras.layers.Conv2D(32,(3,3),activation='relu', padding = 'same')(x1)
x1=keras.layers.MaxPooling2D(pool_size=(2, 2))(x1)
x1=keras.layers.Dropout(dropout)(x1)
x1=keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same')(x1)
x1=keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same')(x1)
x1=keras.layers.MaxPooling2D(pool_size=(2, 2))(x1)
x1=keras.layers.Dropout(dropout)(x1)
x1=keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same')(x1)
x1=keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same')(x1)
x1=keras.layers.MaxPooling2D(pool_size=(2, 2))(x1)
x1=keras.layers.Dropout(dropout)(x1)
print(x1.shape)
# x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
# print(x1.shape)
x1 = keras.layers.Flatten()(x1)
x1 = keras.layers.Dense(10,activation="softmax")(x1)
print(x1.shape)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x1, name = 'extended_cnn_one_img')
opt=tf.keras.optimizers.Adam(lr=1e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def low_features_rnn_model(n_timesteps = 5, cell_size = 128, input_size = 32, concat = True, low_cat = False):
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,3))
inputB = keras.layers.Input(shape=(n_timesteps,2))
h_coor = 0
hold_slices = []
gru1 = keras.layers.GRU(4*4*16,input_shape=(n_timesteps, None),return_sequences=True)
for i in range(8):
v_coor =0
v_slices = []
for j in range(8):
slice_ = inputA[:,:,v_coor:v_coor+4,h_coor:h_coor+4,:]
slice_ = keras.layers.TimeDistributed(keras.layers.Flatten())(slice_)
if low_cat:
slice_ = keras.layers.Concatenate()([slice_, inputB])
slice_ = gru1(slice_)
#print(slice_.shape)
slice_ = keras.layers.Reshape((n_timesteps, 4, 4, 16))(slice_)
#print(slice_.shape)
v_slices.append(slice_)
v_coor += 4
h_coor += 4
hold_slices.append(v_slices)
h = []
for v_slice in hold_slices:
v = keras.layers.Concatenate(axis = 2)(v_slice)
#print(v.shape)
h.append(v)
h = keras.layers.Concatenate(axis = 3)(h)
print(h.shape)
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(h)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization())(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.BatchNormalization(inputA))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(16,(3,3),activation='relu'))(x1)
print(x1.shape)
# x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
# print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
if concat:
x = keras.layers.Concatenate()([x1,inputB])
else:
x = x1
print(x.shape)
# define LSTM model
x = keras.layers.GRU(cell_size,input_shape=(n_timesteps, None),return_sequences=False)(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'low_features_rnn_model_{}_{}'.format(concat,low_cat))
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def extended_low_features_rnn_model(n_timesteps = 5, cell_size = 128, input_size = 32, concat = True, low_cat = False):
inputA = keras.layers.Input(shapinputAe=(n_timesteps,input_size,input_size,3))
inputB = keras.layers.Input(shape=(n_timesteps,2))
h_coor = 0
hold_slices = []
gru1 = keras.layers.GRU(4*4*16,input_shape=(n_timesteps, None),return_sequences=True)
for i in range(8):
v_coor =0
v_slices = []
for j in range(8):
slice_ = inputA[:,:,v_coor:v_coor+4,h_coor:h_coor+4,:]
slice_ = keras.layers.TimeDistributed(keras.layers.Flatten())(slice_)
if low_cat:
slice_ = keras.layers.Concatenate()([slice_, inputB])
slice_ = gru1(slice_)
#print(slice_.shape)
slice_ = keras.layers.Reshape((n_timesteps, 4, 4, 16))(slice_)
#print(slice_.shape)
v_slices.append(slice_)
v_coor += 4
h_coor += 4
hold_slices.append(v_slices)
h = []
for v_slice in hold_slices:
v = keras.layers.Concatenate(axis = 2)(v_slice)
#print(v.shape)
h.append(v)
h = keras.layers.Concatenate(axis = 3)(h)
print(h.shape)
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu', padding = 'same'))(h)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(0.2))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(0.2))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(0.2))(x1)
print(x1.shape)
# x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
# print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
if concat:
x = keras.layers.Concatenate()([x1,inputB])
else:
x = x1
print(x.shape)
# define LSTM model
x = keras.layers.GRU(cell_size,input_shape=(n_timesteps, None),return_sequences=False)(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'extended_low_features_rnn_model_{}_{}'.format(concat,low_cat))
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def no_cnn(n_timesteps = 5, cell_size = 128, input_size = 28,input_dim = 1, concat = True):
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,input_dim))
inputB = keras.layers.Input(shape=(n_timesteps,2))
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(inputA)
print(x1.shape)
if concat:
x = keras.layers.Concatenate()([x1,inputB])
else:
x = x1
print(x.shape)
# define LSTM model
x = keras.layers.GRU(cell_size,input_shape=(n_timesteps, None),return_sequences=False, recurrent_dropout=0.1)(x)
print(x.shape)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'no_cnn_{}'.format(concat))
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def no_cnn_dense(n_timesteps = 5, cell_size = 128, input_size = 28,input_dim = 1, concat = True):
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,input_dim))
inputB = keras.layers.Input(extended_cnn_one_imgshape=(n_timesteps,2))
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(inputA)
print(x1.shape)
if concat:
x = keras.layers.Concatenate()([x1,inputB])
else:
x = x1
print(x.shape)
x = keras.layers.TimeDistributed(keras.layers.Dense(cell_size,activation="relu"))(x)
# define LSTM model
x = keras.layers.GRU(cell_size,input_shape=(n_timesteps, None),return_sequences=False, recurrent_dropout=0.1)(x)
print(x.shape)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'no_cnn_dense_{}'.format(concat))
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def no_cnn_low_features_model(n_timesteps = 5, cell_size = 128, input_size = 32, input_dim = 3,concat = True, low_cat = False):
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,input_dim))
inputB = keras.layers.Input(shape=(n_timesteps,2))
h_coor = 0
hold_slices = []
gru1 = keras.layers.GRU(4*4*16,input_shape=(n_timesteps, None),return_sequences=True)
print(inputA.shape)
for i in range(4):
v_coor =0
v_slices = []
for j in range(4):
slice_ = inputA[:,:,v_coor:v_coor+1,h_coor:h_coor+1,:]
print(v_coor+1)
slice_ = keras.layers.TimeDistributed(keras.layers.Flatten())(slice_)
if low_cat:
slice_ = keras.layers.Concatenate()([slice_, inputB])
slice_ = gru1(slice_)
#print(slice_.shape)
slice_ = keras.layers.Reshape((n_timesteps, 1, 1, 4*4*16))(slice_)
#print(slice_.shape)cnn_dropout
v_slices.append(slice_)
v_coor += 1
h_coor += 1
hold_slices.append(v_slices)
h = []
for v_slice in hold_slices:
v = keras.layers.Concatenate(axis = 2)(v_slice)
#print(v.shape)
h.append(v)
h = keras.layers.Concatenate(axis = 3)(h)
print('h shape:', h.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(h)
print(x1.shape)
if concat:
x = keras.layers.Concatenate()([x1,inputB])
else:
x = x1
print('x',x.shape)
x = keras.layers.TimeDistributed(keras.layers.Dense(cell_size,activation="relu"))(x)
# define GRU model
x = keras.layers.GRU(cell_size,input_shape=(n_timesteps, None),return_sequences=False, recurrent_dropout=0.2)(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'low_features_rnn_model_{}_{}'.format(concat,low_cat))
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def low_features_middle_cnn_model(n_timesteps = 5, cell_size = 128, input_size = 32, input_dim = 3,concat = True, low_cat = False):
'''
concat = True, low_cat = False GRU cell = 4*4*16 dropout_cnn = 0.2, dropout_rnn = 0.2 RESULTS = 57 train 54 val
'''
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,input_dim))
inputB = keras.layers.Input(shape=(n_timesteps,2))
h_coor = 0
hold_slices = []
gru1 = keras.layers.GRU(4*4*16,input_shape=(n_timesteps, None),return_sequences=True)
print(inputA.shape)
for i in range(4):
v_coor =0
v_slices = []
for j in range(4):
slice_ = inputA[:,:,v_coor:v_coor+1,h_coor:h_coor+1,:]
slice_ = keras.layers.TimeDistributed(keras.layers.Flatten())(slice_)
if low_cat:
slice_ = keras.layers.Concatenate()([slice_, inputB])
slice_ = gru1(slice_)
#print(slice_.shape)
slice_ = keras.layers.Reshape((n_timesteps, 1, 1, 4*4*16))(slice_)
#print(slice_.shape)
v_slices.append(slice_)
v_coor += 1
h_coor += 1
hold_slices.append(v_slices)
h = []
for v_slice in hold_slices:
v = keras.layers.Concatenate(axis = 2)(v_slice)
#print(v.shape)
h.append(v)
h = keras.layers.Concatenate(axis = 3)(h)
print('h shape:', h.shape)
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same'))(h)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(0.2))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(0.2))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same'))(x1)
print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
if concat:
x = keras.layers.Concatenate()([x1,inputB])
else:
x = x1
print('x',x.shape)
x = keras.layers.TimeDistributed(keras.layers.Dense(cell_size,activation="relu"))(x)
# define GRU model
x = keras.layers.GRU(cell_size,input_shape=(n_timesteps, None),return_sequences=False, recurrent_dropout=0.2)(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'low_features_rnn_model_{}_{}'.format(concat,low_cat))
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def convgru(n_timesteps = 5, cell_size = 128, input_size = 28,input_dim = 1, concat = False):
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,input_dim))
inputB = keras.layers.Input(shape=(n_timesteps,2))
# define LSTM model
x = keras.layers.ConvLSTM2D(cell_size, 2, dropout = 0.2, recurrent_dropout=0.1, return_sequences=True)(inputA)
print(x.shape)
# x = keras.layers.ConvLSTM2D(cell_size, 2, dropout = 0.2, recurrent_dropout=0.1, return_sequences=True)(x)
# print(x.shape)
x = keras.layers.ConvLSTM2D(cell_size, 2, dropout = 0.2, recurrent_dropout=0.1, return_sequences=True)(x)
print(x.shape)
x = keras.layers.Flatten()(x)
print(x.shape)
if concat:
x = keras.layers.Concatenate()([x,inputB])
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'ConvLSTM_{}'.format(concat))
opt=tf.keras.optimizers.Adam(lr=3e-3)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
def cnn_lstm(n_timesteps = 5, hidden_size = 128,input_size = 32, concat = True, cnn_dropout = 0.4, rnn_dropout = 0.2):
'''
CNN RNN combination that extends the CNN to a network that achieves
~80% accuracy on full res cifar.
Parameters
----------
n_timesteps : TYPE, optional
DESCRIPTION. The default is 5.
img_dim : TYPE, optional
DESCRIPTION. The default is 32.
hidden_size : TYPE, optional
DESCRIPTION. The default is 128.
input_size : TYPE, optional
DESCRIPTION. The default is 32.
Returns
-------
model : TYPE
DESCRIPTION.
'''
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,3))
inputB = keras.layers.Input(shape=(n_timesteps,2))
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu', padding = 'same'))(inputA)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(cnn_dropout))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(cnn_dropout))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(cnn_dropout))(x1)
print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
if concat:
x = keras.layers.Concatenate()([x1,inputB])
else:
x = x1
print(x.shape)
# define LSTM model
x = keras.layers.LSTM(hidden_size,input_shape=(n_timesteps, None),return_sequences=True,recurrent_dropout=rnn_dropout)(x)
x = keras.layers.Flatten()(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'cnn_lstm_{}'.format(concat))
opt=tf.keras.optimizers.Adam(lr=5e-4)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
############################################################################################################3
############################# TEACHER STUDENT NETWORKS #####################################################
############################################################################################################
def HRcnn(input_size = 28, input_dim = 1):
inputA = keras.layers.Input(shape=(input_size, input_size, input_dim))
x1 = keras.layers.Conv2D(16, kernel_size = 3, activation = 'relu')(inputA)
#x = keras.layers.BatchNormalization()(x)
x1 = keras.layers.MaxPool2D()(x1)
x1 = keras.layers.Dropout(0.2)(x1)
x1 = keras.layers.Conv2D(32, kernel_size = 3, activation = 'relu')(x1)
#x = keras.layers.BatchNormalization()(x)
x1 = keras.layers.MaxPool2D()(x1)
x1 = keras.layers.Dropout(0.2)(x1)
x1 = keras.layers.Conv2D(16, kernel_size = 3, activation = 'relu', name = 'teacher_features')(x1)
x1 = keras.layers.Dropout(0.2)(x1)
x = keras.layers.Flatten()(x1)
x = keras.layers.Dense(10, activation = 'softmax')(x)
model = keras.models.Model(inputs = inputA, outputs = x, name = 'HR_CNN')
opt = tf.keras.optimizers.Adam(lr = 3e-3)
model.compile( optimizer = opt,
loss = 'sparse_categorical_crossentropy',
metrics = ['sparse_categorical_accuracy'])
return model
# def student_loss(label, teacher_features, student_outpus):
# student_features, student_pred = student_outputs
# feature_loss = keras
def StudentCNN(input_size = 28, input_dim = 1):
inputA = keras.layers.Input(shape=(input_size, input_size, input_dim))
x1 = keras.layers.Conv2D(16, kernel_size = 3, activation = 'relu')(inputA)
#x = keras.layers.BatchNormalization()(x)
x1 = keras.layers.MaxPool2D()(x1)
x1 = keras.layers.Dropout(0.2)(x1)
x1 = keras.layers.Conv2D(32, kernel_size = 3, activation = 'relu')(x1)
#x = keras.layers.BatchNormalization()(x)
x1 = keras.layers.MaxPool2D()(x1)
x1 = keras.layers.Dropout(0.2)(x1)
x1 = keras.layers.Conv2D(16, kernel_size = 3, activation = 'relu', name = 'student_feature')(x1)
x1 = keras.layers.Dropout(0.2)(x1)
x = keras.layers.Flatten()(x1)
x = keras.layers.Dense(10, activation = 'softmax')(x)
model = keras.models.Model(inputs = inputA, outputs = [x1,x], name = 'StudentCNN')
opt = tf.keras.optimizers.Adam(lr = 3e-3)
model.compile( optimizer = opt,
loss = ['mean_squared_error','sparse_categorical_crossentropy'],
metrics = ['mean_squared_error','sparse_categorical_accuracy'])
return model
| 40.456417
| 181
| 0.630045
| 7,839
| 58,945
| 4.585661
| 0.060467
| 0.116588
| 0.052077
| 0.100036
| 0.878321
| 0.858542
| 0.851253
| 0.842713
| 0.826189
| 0.816508
| 0
| 0.035148
| 0.21951
| 58,945
| 1,457
| 182
| 40.456417
| 0.746207
| 0.130885
| 0
| 0.746
| 0
| 0
| 0.064583
| 0.042112
| 0
| 0
| 0
| 0.000686
| 0
| 1
| 0.038
| false
| 0
| 0.013
| 0.004
| 0.094
| 0.075
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
7715ebbdb5b6d4598e7ce3c39086c9a497e9c8ba
| 218
|
py
|
Python
|
triplet_tools/__init__.py
|
maxsch3/pk-triplet
|
84fb9e7244a577760a1fcd0c3e6135c50b00ce69
|
[
"MIT"
] | 1
|
2021-10-02T04:47:46.000Z
|
2021-10-02T04:47:46.000Z
|
triplet_tools/__init__.py
|
maxsch3/pk-triplet
|
84fb9e7244a577760a1fcd0c3e6135c50b00ce69
|
[
"MIT"
] | 11
|
2020-01-19T19:38:45.000Z
|
2022-02-10T00:43:53.000Z
|
triplet_tools/__init__.py
|
maxsch3/triplet-toolbox
|
84fb9e7244a577760a1fcd0c3e6135c50b00ce69
|
[
"MIT"
] | null | null | null |
from .losses.triplet_batch_hard_loss import triplet_batch_hard_loss
from .losses.triplet_batch_semihard_loss import triplet_batch_semihard_loss
from .losses.triplet_batch_priming_loss import triplet_batch_priming_loss
| 54.5
| 75
| 0.917431
| 33
| 218
| 5.515152
| 0.272727
| 0.395604
| 0.28022
| 0.362637
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055046
| 218
| 3
| 76
| 72.666667
| 0.883495
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
77597781d7200e2ed02885e1ed1ebec431397f5d
| 142
|
py
|
Python
|
jigu/core/auth/__init__.py
|
bongtrop/jigu
|
448bce8ce693f3f7c530bea0f2f268e22100937a
|
[
"MIT"
] | 14
|
2020-03-03T06:46:39.000Z
|
2021-05-01T15:29:35.000Z
|
jigu/core/auth/__init__.py
|
bongtrop/jigu
|
448bce8ce693f3f7c530bea0f2f268e22100937a
|
[
"MIT"
] | 9
|
2020-03-09T06:36:30.000Z
|
2021-02-15T14:40:48.000Z
|
jigu/core/auth/__init__.py
|
bongtrop/jigu
|
448bce8ce693f3f7c530bea0f2f268e22100937a
|
[
"MIT"
] | 5
|
2020-05-30T22:38:34.000Z
|
2021-02-11T00:56:20.000Z
|
import jigu.core.auth.account
import jigu.core.auth.transaction
from jigu.core.auth.account import *
from jigu.core.auth.transaction import *
| 28.4
| 40
| 0.816901
| 22
| 142
| 5.272727
| 0.318182
| 0.275862
| 0.413793
| 0.310345
| 0.431034
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084507
| 142
| 4
| 41
| 35.5
| 0.892308
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| null | 1
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| 0
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| 0
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| 0
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| 0
| 1
| 0
| 0
| 0
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| null | 0
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| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
6224dba85bd8b41e616714a8438e53fb1d8992bd
| 148
|
py
|
Python
|
tests/tests/paths.py
|
hyperoslo/django-pipeline
|
9f538190652e089cc807c5c531e75d8ec75639f2
|
[
"MIT"
] | null | null | null |
tests/tests/paths.py
|
hyperoslo/django-pipeline
|
9f538190652e089cc807c5c531e75d8ec75639f2
|
[
"MIT"
] | null | null | null |
tests/tests/paths.py
|
hyperoslo/django-pipeline
|
9f538190652e089cc807c5c531e75d8ec75639f2
|
[
"MIT"
] | null | null | null |
import os
def _(path):
# Make sure the path contains only the correct separator
return path.replace('/', os.sep).replace('\\', os.sep)
| 21.142857
| 61
| 0.648649
| 21
| 148
| 4.52381
| 0.666667
| 0.189474
| 0.252632
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.209459
| 148
| 6
| 62
| 24.666667
| 0.811966
| 0.364865
| 0
| 0
| 0
| 0
| 0.033708
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
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| 1
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| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
02a76c5d8a723f292f4fda36bf841ccff862dd02
| 5,262
|
py
|
Python
|
apps/funds/tests/test_api/private/test_invalid_requests.py
|
GiannisClipper/payments
|
94e08144597b3f4cd0de8485edf3f5535aeb9da6
|
[
"MIT"
] | null | null | null |
apps/funds/tests/test_api/private/test_invalid_requests.py
|
GiannisClipper/payments
|
94e08144597b3f4cd0de8485edf3f5535aeb9da6
|
[
"MIT"
] | null | null | null |
apps/funds/tests/test_api/private/test_invalid_requests.py
|
GiannisClipper/payments
|
94e08144597b3f4cd0de8485edf3f5535aeb9da6
|
[
"MIT"
] | null | null | null |
from unittest import skip # noqa: F401
from rest_framework import status
from funds.tests.test_api import ROOT_URL, BY_ID_1_URL, LIST_URL
from . import AdminPrivateFundsAPITests, OwnerPrivateFundsAPITests
class AdminPost(AdminPrivateFundsAPITests):
'''Test admin's invalid POST requests to funds API.'''
METHOD = 'POST'
def test_when_values_exists(self):
sample = self.samples['funds'][11]
self.create_fund(**sample)
res = self.api_request(ROOT_URL, self.METHOD, payload=sample, token=self.token)
self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)
self.assertIn('errors', res.data)
self.assertEqual(res.data['token'], self.token)
def test_when_values_are_missing(self):
sample = {}
res = self.api_request(ROOT_URL, self.METHOD, payload=sample, token=self.token)
self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)
self.assertIn('errors', res.data)
self.assertIn('user', res.data['errors'])
self.assertIn('code', res.data['errors'])
self.assertIn('name', res.data['errors'])
self.assertEqual(res.data['token'], self.token)
class AdminGet(AdminPrivateFundsAPITests):
'''Test admin's invalid GET requests to funds API.'''
METHOD = 'GET'
def test_request_when_id_not_exists(self):
res = self.api_request(BY_ID_1_URL, self.METHOD, token=self.token)
self.assertEqual(res.status_code, status.HTTP_404_NOT_FOUND)
self.assertIn('errors', res.data)
self.assertEqual(res.data['token'], self.token)
class AdminPatch(AdminGet):
'''Test admin's invalid PATCH requests to funds API.'''
METHOD = 'PATCH'
def test_when_values_exists(self):
sample = self.samples['funds'][11]
self.create_fund(**sample)
sample = self.samples['funds'][12]
self.create_fund(**sample)
sample.pop('user', None)
res = self.api_request(BY_ID_1_URL, 'PATCH', payload=sample, token=self.token)
self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)
self.assertIn('errors', res.data)
self.assertEqual(res.data['token'], self.token)
def test_when_values_are_empty(self):
sample = self.samples['funds'][11]
self.create_fund(**sample)
sample = {'user': None, 'code': None, 'name': None}
res = self.api_request(BY_ID_1_URL, self.METHOD, payload=sample, token=self.token)
self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)
self.assertIn('errors', res.data)
self.assertIn('user', res.data['errors'])
self.assertIn('code', res.data['errors'])
self.assertIn('name', res.data['errors'])
self.assertEqual(res.data['token'], self.token)
class AdminDelete(AdminGet):
'''Test admin's invalid DELETE requests to funds API.'''
METHOD = 'DELETE'
# To be executed the inherited tests
class OwnerPost(OwnerPrivateFundsAPITests, AdminPost):
'''Test owner's invalid POST requests to funds API.'''
def test_when_values_are_missing(self):
sample = {}
res = self.api_request(ROOT_URL, self.METHOD, payload=sample, token=self.token)
self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)
self.assertIn('errors', res.data)
# No check for `user` in errors, automatically gets the owner
self.assertIn('code', res.data['errors'])
self.assertIn('name', res.data['errors'])
self.assertEqual(res.data['token'], self.token)
class OwnerGet(OwnerPrivateFundsAPITests, AdminGet):
'''Test owner's invalid GET requests to funds API.'''
METHOD = 'GET'
def test_unauthorized_request(self):
sample = self.samples['funds'][11]
sample['user']['id'] = self.user['id'] + 1 # not equal to id of signed user
self.create_fund(**sample)
res = self.api_request(BY_ID_1_URL, self.METHOD, token=self.token)
self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN)
self.assertIn('errors', res.data)
self.assertEqual(res.data['token'], self.token)
class OwnerPatch(OwnerGet, AdminPatch):
'''Test owner's invalid PATCH requests to funds API.'''
METHOD = 'PATCH'
class OwnerDelete(OwnerGet, AdminDelete):
'''Test owner's invalid DELETE requests to funds API.'''
METHOD = 'DELETE'
class AdminGetList(AdminPrivateFundsAPITests):
'''Test admin's invalid GET requests to funds API.'''
METHOD = 'GET'
def test_request_when_user_id_not_exists(self):
res = self.api_request(LIST_URL + '?user_id=blabla', self.METHOD, token=self.token)
self.assertEqual(res.status_code, status.HTTP_404_NOT_FOUND)
self.assertIn('errors', res.data)
self.assertEqual(res.data['token'], self.token)
class OwnerGetList(OwnerPrivateFundsAPITests):
'''Test owner's invalid list requests to funds API.'''
METHOD = 'GET'
def test_unauthorized_request(self):
res = self.api_request(LIST_URL + '?user_id=blabla', self.METHOD, token=self.token)
self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN)
self.assertIn('errors', res.data)
self.assertEqual(res.data['token'], self.token)
| 32.8875
| 91
| 0.676739
| 685
| 5,262
| 5.042336
| 0.135766
| 0.070353
| 0.072959
| 0.052113
| 0.808917
| 0.779965
| 0.773017
| 0.755646
| 0.742328
| 0.682976
| 0
| 0.010834
| 0.193082
| 5,262
| 159
| 92
| 33.09434
| 0.802638
| 0.119726
| 0
| 0.736264
| 0
| 0
| 0.065749
| 0
| 0
| 0
| 0
| 0
| 0.384615
| 1
| 0.098901
| false
| 0
| 0.043956
| 0
| 0.351648
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
02b8e18b7a35835721fce0bf332841c5ad0e67f3
| 28,310
|
py
|
Python
|
transaction_creation/rbac_transaction_creation/role_transaction_creation.py
|
hyperultra/sawtooth-next-directory-poc
|
cb34b7b3d906bc5b5d429078ba5cf0ffc9af0401
|
[
"Apache-2.0"
] | null | null | null |
transaction_creation/rbac_transaction_creation/role_transaction_creation.py
|
hyperultra/sawtooth-next-directory-poc
|
cb34b7b3d906bc5b5d429078ba5cf0ffc9af0401
|
[
"Apache-2.0"
] | 9
|
2018-09-05T22:52:16.000Z
|
2018-09-14T22:44:29.000Z
|
transaction_creation/rbac_transaction_creation/role_transaction_creation.py
|
agoldingay/sawtooth-next-directory
|
0653609ce29c362137d965b7712ae31b5a2d27ed
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# -----------------------------------------------------------------------------
from rbac_addressing import addresser
from rbac_transaction_creation.common import make_header_and_batch
from rbac_transaction_creation.protobuf import rbac_payload_pb2
from rbac_transaction_creation.protobuf import role_transaction_pb2
def create_role(txn_key, batch_key, role_name,
role_id, metadata, admins, owners):
"""Create a BatchList with a CreateRole transaction in it.
Args:
txn_key (Key): The transaction signer's key pair.
batch_key (Key): The batch signer's key pair.
role_name (str): The name of the Role.
role_id (str): A uuid that identifies this Role.
metadata (str): Client supplied information that is not parsed.
admins (list): A list of User ids of the Users who are admins of this
Role.
owners (list): A list of User ids of the Users who are owners of this
Role.
Returns:
tuple
BatchList, batch header_signature tuple
"""
create_role_payload = role_transaction_pb2.CreateRole(
role_id=role_id,
name=role_name,
metadata=metadata,
admins=admins,
owners=owners)
inputs = [addresser.make_sysadmin_members_address(txn_key.public_key),
addresser.make_role_attributes_address(role_id)]
inputs.extend([addresser.make_user_address(u) for u in admins])
inputs.extend([addresser.make_user_address(u) for u in owners])
inputs.extend([addresser.make_role_admins_address(
role_id=role_id,
user_id=a) for a in admins])
inputs.extend([addresser.make_role_owners_address(
role_id=role_id,
user_id=o) for o in owners])
outputs = [addresser.make_role_attributes_address(role_id)]
outputs.extend([addresser.make_role_admins_address(
role_id=role_id,
user_id=a) for a in admins])
outputs.extend([addresser.make_role_owners_address(
role_id=role_id,
user_id=o) for o in owners])
rbac_payload = rbac_payload_pb2.RBACPayload(
content=create_role_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.CREATE_ROLE)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def propose_add_role_admins(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason,
metadata):
"""Create a BatchList with a ProposeAddRoleAdmins transaction in it.
Args:
txn_key (Key): The txn signer key pair.
batch_key (Key): The batch signer key pair.
role_id (str): The role's id.
user_id (str): The user that is being proposed to be an admin.
reason (str): The client supplied reason for the proposal.
metadata (str): The client supplied metadata.
Returns:
tuple
BatchList, batch header_signature tuple
"""
propose_add_payload = role_transaction_pb2.ProposeAddRoleAdmin(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason,
metadata=metadata)
inputs = [addresser.make_user_address(user_id=user_id),
addresser.make_proposal_address(role_id, user_id),
addresser.make_role_admins_address(role_id, user_id),
addresser.make_role_attributes_address(role_id=role_id)]
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=propose_add_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.PROPOSE_ADD_ROLE_ADMINS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def confirm_add_role_admins(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
"""Creates a BatchList with a ConfirmAddRoleAdmin transaction in it.
Args:
txn_key (Key): The txn signer key pair.
batch_key (Key): The batch signer key pair.
proposal_id (str): The proposal's identifier.
role_id (str): The role's identifier.
user_id (str): The user's signer public key.
reason (str): The client supplied reason to confirm.
Returns:
tuple
BatchList, batch header_signature tuple
"""
confirm_add_payload = role_transaction_pb2.ConfirmAddRoleAdmin(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_role_admins_address(
role_id=role_id,
user_id=txn_key.public_key)]
inputs.append(addresser.make_proposal_address(role_id, user_id))
outputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_admins_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=confirm_add_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.CONFIRM_ADD_ROLE_ADMINS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def reject_add_role_admins(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
reject_add_payload = role_transaction_pb2.RejectAddRoleAdmin(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_role_admins_address(
role_id=role_id,
user_id=txn_key.public_key)]
inputs.append(addresser.make_proposal_address(role_id, user_id))
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=reject_add_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.REJECT_ADD_ROLE_ADMINS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def propose_remove_role_admins(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason,
metadata):
propose = role_transaction_pb2.ProposeRemoveRoleAdmin(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason,
metadata=metadata)
inputs = [addresser.make_user_address(user_id=user_id),
addresser.make_proposal_address(role_id, user_id),
addresser.make_role_admins_address(role_id, user_id),
addresser.make_role_attributes_address(role_id=role_id)]
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=propose.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.PROPOSE_REMOVE_ROLE_ADMINS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def confirm_remove_role_admins(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
confirm_add_payload = role_transaction_pb2.ConfirmRemoveRoleAdmin(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_role_admins_address(
role_id=role_id,
user_id=txn_key.public_key)]
inputs.append(addresser.make_proposal_address(role_id, user_id))
outputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_admins_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=confirm_add_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.CONFIRM_REMOVE_ROLE_ADMINS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def reject_remove_role_admins(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
reject_add_payload = role_transaction_pb2.RejectRemoveRoleAdmin(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_role_admins_address(
role_id=role_id,
user_id=txn_key.public_key)]
inputs.append(addresser.make_proposal_address(role_id, user_id))
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=reject_add_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.REJECT_REMOVE_ROLE_ADMINS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def propose_add_role_owners(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason,
metadata):
propose_payload = role_transaction_pb2.ProposeAddRoleOwner(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_role_owners_address(role_id, user_id),
addresser.make_role_attributes_address(role_id=role_id),
addresser.make_user_address(user_id=user_id),
addresser.make_proposal_address(role_id, user_id)]
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=propose_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.PROPOSE_ADD_ROLE_OWNERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def confirm_add_role_owners(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
confirm_payload = role_transaction_pb2.ConfirmAddRoleOwner(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_admins_address(role_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_owners_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=confirm_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.CONFIRM_ADD_ROLE_OWNERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def reject_add_role_owners(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
reject_payload = role_transaction_pb2.RejectAddRoleOwner(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_admins_address(role_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=reject_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.REJECT_ADD_ROLE_OWNERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def propose_remove_role_owners(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason,
metadata):
propose = role_transaction_pb2.ProposeRemoveRoleOwner(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason,
metadata=metadata)
inputs = [addresser.make_role_owners_address(role_id, user_id),
addresser.make_role_attributes_address(role_id=role_id),
addresser.make_user_address(user_id=user_id),
addresser.make_proposal_address(role_id, user_id)]
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=propose.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.PROPOSE_REMOVE_ROLE_OWNERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def confirm_remove_role_owners(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
confirm_payload = role_transaction_pb2.ConfirmRemoveRoleOwner(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_admins_address(role_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_owners_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=confirm_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.CONFIRM_REMOVE_ROLE_OWNERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def reject_remove_role_owners(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
reject_payload = role_transaction_pb2.RejectRemoveRoleOwner(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_admins_address(role_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=reject_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.REJECT_REMOVE_ROLE_OWNERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def propose_add_role_members(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason,
metadata):
propose_payload = role_transaction_pb2.ProposeAddRoleMember(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_role_members_address(role_id, user_id),
addresser.make_role_attributes_address(role_id=role_id),
addresser.make_user_address(user_id=user_id),
addresser.make_proposal_address(role_id, user_id)]
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=propose_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.PROPOSE_ADD_ROLE_MEMBERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def confirm_add_role_members(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
confirm_payload = role_transaction_pb2.ConfirmAddRoleMember(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_owners_address(role_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_members_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=confirm_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.CONFIRM_ADD_ROLE_MEMBERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def reject_add_role_members(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
reject_payload = role_transaction_pb2.RejectAddRoleMember(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_owners_address(role_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=reject_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.REJECT_ADD_ROLE_MEMBERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def propose_remove_role_members(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason,
metadata):
propose = role_transaction_pb2.ProposeRemoveRoleMember(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason,
metadata=metadata)
inputs = [addresser.make_role_members_address(role_id, user_id),
addresser.make_role_attributes_address(role_id=role_id),
addresser.make_user_address(user_id=user_id),
addresser.make_proposal_address(role_id, user_id)]
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=propose.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.PROPOSE_REMOVE_ROLE_MEMBERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def confirm_remove_role_members(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
confirm_payload = role_transaction_pb2.ConfirmRemoveRoleMember(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_owners_address(role_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_members_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=confirm_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.CONFIRM_REMOVE_ROLE_MEMBERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def reject_remove_role_members(txn_key,
batch_key,
proposal_id,
role_id,
user_id,
reason):
reject_payload = role_transaction_pb2.RejectRemoveRoleMember(
proposal_id=proposal_id,
role_id=role_id,
user_id=user_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, user_id),
addresser.make_role_owners_address(role_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, user_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=reject_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.REJECT_REMOVE_ROLE_MEMBERS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def propose_add_role_tasks(txn_key,
batch_key,
proposal_id,
role_id,
task_id,
reason,
metadata):
propose_payload = role_transaction_pb2.ProposeAddRoleTask(
proposal_id=proposal_id,
role_id=role_id,
task_id=task_id,
reason=reason,
metadata=metadata)
inputs = [addresser.make_proposal_address(role_id, task_id),
addresser.make_role_tasks_address(role_id, task_id),
addresser.make_role_owners_address(role_id, txn_key.public_key),
addresser.make_role_attributes_address(role_id),
addresser.make_task_attributes_address(task_id)]
outputs = [addresser.make_proposal_address(role_id, task_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=propose_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.PROPOSE_ADD_ROLE_TASKS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def confirm_add_role_tasks(txn_key,
batch_key,
proposal_id,
role_id,
task_id,
reason):
confirm_payload = role_transaction_pb2.ConfirmAddRoleTask(
proposal_id=proposal_id,
role_id=role_id,
task_id=task_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, task_id),
addresser.make_task_owners_address(task_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, task_id),
addresser.make_role_tasks_address(role_id, task_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=confirm_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.CONFIRM_ADD_ROLE_TASKS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def reject_add_role_tasks(txn_key,
batch_key,
proposal_id,
role_id,
task_id,
reason):
reject_payload = role_transaction_pb2.RejectAddRoleTask(
proposal_id=proposal_id,
role_id=role_id,
task_id=task_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, task_id),
addresser.make_task_owners_address(task_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, task_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=reject_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.REJECT_ADD_ROLE_TASKS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def propose_remove_role_tasks(txn_key,
batch_key,
proposal_id,
role_id,
task_id,
reason,
metadata):
propose = role_transaction_pb2.ProposeRemoveRoleTask(
proposal_id=proposal_id,
role_id=role_id,
task_id=task_id,
reason=reason,
metadata=metadata)
inputs = [addresser.make_proposal_address(role_id, task_id),
addresser.make_role_tasks_address(role_id, task_id),
addresser.make_role_attributes_address(role_id),
addresser.make_task_attributes_address(task_id)]
outputs = [addresser.make_proposal_address(role_id, task_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=propose.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.PROPOSE_REMOVE_ROLE_TASKS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def confirm_remove_role_tasks(txn_key,
batch_key,
proposal_id,
role_id,
task_id,
reason):
confirm_payload = role_transaction_pb2.ConfirmRemoveRoleTask(
proposal_id=proposal_id,
role_id=role_id,
task_id=task_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, task_id),
addresser.make_task_owners_address(task_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, task_id),
addresser.make_role_tasks_address(role_id, task_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=confirm_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.CONFIRM_REMOVE_ROLE_TASKS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
def reject_remove_role_tasks(txn_key,
batch_key,
proposal_id,
role_id,
task_id,
reason):
reject_payload = role_transaction_pb2.RejectRemoveRoleTask(
proposal_id=proposal_id,
role_id=role_id,
task_id=task_id,
reason=reason)
inputs = [addresser.make_proposal_address(role_id, task_id),
addresser.make_task_owners_address(task_id, txn_key.public_key)]
outputs = [addresser.make_proposal_address(role_id, task_id)]
rbac_payload = rbac_payload_pb2.RBACPayload(
content=reject_payload.SerializeToString(),
message_type=rbac_payload_pb2.RBACPayload.REJECT_REMOVE_ROLE_TASKS)
return make_header_and_batch(
rbac_payload,
inputs,
outputs,
txn_key,
batch_key)
| 32.690531
| 79
| 0.612716
| 3,128
| 28,310
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| 0.885577
| 0.869641
| 0.854706
| 0.845457
| 0.845269
| 0
| 0.004425
| 0.321406
| 28,310
| 865
| 80
| 32.728324
| 0.828536
| 0.073684
| 0
| 0.849294
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.039246
| false
| 0
| 0.006279
| 0
| 0.084772
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
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| null | 0
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| 0
|
0
| 7
|
02c49ff0fd0421f8e05f265a53de5deae22afe36
| 142,732
|
py
|
Python
|
azure-keyvault/azure/keyvault/generated/key_vault_client.py
|
azuresdkci1x/azure-sdk-for-python-1722
|
e08fa6606543ce0f35b93133dbb78490f8e6bcc9
|
[
"MIT"
] | 1
|
2018-11-09T06:16:34.000Z
|
2018-11-09T06:16:34.000Z
|
azure-keyvault/azure/keyvault/generated/key_vault_client.py
|
azuresdkci1x/azure-sdk-for-python-1722
|
e08fa6606543ce0f35b93133dbb78490f8e6bcc9
|
[
"MIT"
] | null | null | null |
azure-keyvault/azure/keyvault/generated/key_vault_client.py
|
azuresdkci1x/azure-sdk-for-python-1722
|
e08fa6606543ce0f35b93133dbb78490f8e6bcc9
|
[
"MIT"
] | 1
|
2018-11-09T06:17:41.000Z
|
2018-11-09T06:17:41.000Z
|
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.service_client import ServiceClient
from msrest import Serializer, Deserializer
from msrestazure import AzureConfiguration
from .version import VERSION
from msrest.pipeline import ClientRawResponse
import uuid
from . import models
class KeyVaultClientConfiguration(AzureConfiguration):
"""Configuration for KeyVaultClient
Note that all parameters used to create this instance are saved as instance
attributes.
:param credentials: Credentials needed for the client to connect to Azure.
:type credentials: :mod:`A msrestazure Credentials
object<msrestazure.azure_active_directory>`
:param api_version: Client API version.
:type api_version: str
:param accept_language: Gets or sets the preferred language for the
response.
:type accept_language: str
:param long_running_operation_retry_timeout: Gets or sets the retry
timeout in seconds for Long Running Operations. Default value is 30.
:type long_running_operation_retry_timeout: int
:param generate_client_request_id: When set to true a unique
x-ms-client-request-id value is generated and included in each request.
Default is true.
:type generate_client_request_id: bool
:param str filepath: Existing config
"""
def __init__(
self, credentials, api_version='2016-10-01', accept_language='en-US', long_running_operation_retry_timeout=30, generate_client_request_id=True, filepath=None):
if credentials is None:
raise ValueError("Parameter 'credentials' must not be None.")
if api_version is not None and not isinstance(api_version, str):
raise TypeError("Optional parameter 'api_version' must be str.")
if accept_language is not None and not isinstance(accept_language, str):
raise TypeError("Optional parameter 'accept_language' must be str.")
base_url = '{vaultBaseUrl}'
super(KeyVaultClientConfiguration, self).__init__(base_url, filepath)
self.add_user_agent('keyvaultclient/{}'.format(VERSION))
self.add_user_agent('Azure-SDK-For-Python')
self.credentials = credentials
self.api_version = api_version
self.accept_language = accept_language
self.long_running_operation_retry_timeout = long_running_operation_retry_timeout
self.generate_client_request_id = generate_client_request_id
class KeyVaultClient(object):
"""The key vault client performs cryptographic key operations and vault operations against the Key Vault service.
:ivar config: Configuration for client.
:vartype config: KeyVaultClientConfiguration
:param credentials: Credentials needed for the client to connect to Azure.
:type credentials: :mod:`A msrestazure Credentials
object<msrestazure.azure_active_directory>`
:param api_version: Client API version.
:type api_version: str
:param accept_language: Gets or sets the preferred language for the
response.
:type accept_language: str
:param long_running_operation_retry_timeout: Gets or sets the retry
timeout in seconds for Long Running Operations. Default value is 30.
:type long_running_operation_retry_timeout: int
:param generate_client_request_id: When set to true a unique
x-ms-client-request-id value is generated and included in each request.
Default is true.
:type generate_client_request_id: bool
:param str filepath: Existing config
"""
def __init__(
self, credentials, api_version='2016-10-01', accept_language='en-US', long_running_operation_retry_timeout=30, generate_client_request_id=True, filepath=None):
self.config = KeyVaultClientConfiguration(credentials, api_version, accept_language, long_running_operation_retry_timeout, generate_client_request_id, filepath)
self._client = ServiceClient(self.config.credentials, self.config)
client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
self._serialize = Serializer(client_models)
self._deserialize = Deserializer(client_models)
def create_key(
self, vault_base_url, key_name, kty, key_size=None, key_ops=None, key_attributes=None, tags=None, custom_headers=None, raw=False, **operation_config):
"""Creates a new key, stores it, then returns key parameters and
attributes to the client. The create key operation can be used to
create any key type in Azure Key Vault. If the named key already
exists, Azure Key Vault creates a new version of the key.
Authorization: Requires the keys/create permission.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name for the new key. The system will generate
the version name for the new key.
:type key_name: str
:param kty: The type of key to create. For valid key types, see
JsonWebKeyType. Supported JsonWebKey key types (kty) for Elliptic
Curve, RSA, HSM, Octet. Possible values include: 'EC', 'RSA',
'RSA-HSM', 'oct'
:type kty: str or :class:`JsonWebKeyType
<azure.keyvault.generated.models.JsonWebKeyType>`
:param key_size: The key size in bytes. For example, 1024 or 2048.
:type key_size: int
:param key_ops:
:type key_ops: list of str or :class:`JsonWebKeyOperation
<azure.keyvault.generated.models.JsonWebKeyOperation>`
:param key_attributes:
:type key_attributes: :class:`KeyAttributes
<azure.keyvault.generated.models.KeyAttributes>`
:param tags: Application specific metadata in the form of key-value
pairs.
:type tags: dict
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyBundle <azure.keyvault.generated.models.KeyBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.KeyCreateParameters(kty=kty, key_size=key_size, key_ops=key_ops, key_attributes=key_attributes, tags=tags)
# Construct URL
url = '/keys/{key-name}/create'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str', pattern='^[0-9a-zA-Z-]+$')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'KeyCreateParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def import_key(
self, vault_base_url, key_name, key, hsm=None, key_attributes=None, tags=None, custom_headers=None, raw=False, **operation_config):
"""Imports an externally created key, stores it, and returns key
parameters and attributes to the client. The import key operation may
be used to import any key type into an Azure Key Vault. If the named
key already exists, Azure Key Vault creates a new version of the key.
Authorization: requires the keys/import permission. .
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: Name for the imported key.
:type key_name: str
:param key: The Json web key
:type key: :class:`JsonWebKey
<azure.keyvault.generated.models.JsonWebKey>`
:param hsm: Whether to import as a hardware key (HSM) or software key.
:type hsm: bool
:param key_attributes: The key management attributes.
:type key_attributes: :class:`KeyAttributes
<azure.keyvault.generated.models.KeyAttributes>`
:param tags: Application specific metadata in the form of key-value
pairs.
:type tags: dict
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyBundle <azure.keyvault.generated.models.KeyBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.KeyImportParameters(hsm=hsm, key=key, key_attributes=key_attributes, tags=tags)
# Construct URL
url = '/keys/{key-name}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str', pattern='^[0-9a-zA-Z-]+$')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'KeyImportParameters')
# Construct and send request
request = self._client.put(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def delete_key(
self, vault_base_url, key_name, custom_headers=None, raw=False, **operation_config):
"""Deletes a key of any type from storage in Azure Key Vault. The delete
key operation cannot be used to remove individual versions of a key.
This operation removes the cryptographic material associated with the
key, which means the key is not usable for Sign/Verify, Wrap/Unwrap or
Encrypt/Decrypt operations. Authorization: Requires the keys/delete
permission.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of the key to delete.
:type key_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyBundle <azure.keyvault.generated.models.KeyBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/keys/{key-name}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def update_key(
self, vault_base_url, key_name, key_version, key_ops=None, key_attributes=None, tags=None, custom_headers=None, raw=False, **operation_config):
"""The update key operation changes specified attributes of a stored key
and can be applied to any key type and key version stored in Azure Key
Vault. The cryptographic material of a key itself cannot be changed. In
order to perform this operation, the key must already exist in the Key
Vault. Authorization: requires the keys/update permission.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of key to update.
:type key_name: str
:param key_version: The version of the key to update.
:type key_version: str
:param key_ops: Json web key operations. For more information on
possible key operations, see JsonWebKeyOperation.
:type key_ops: list of str or :class:`JsonWebKeyOperation
<azure.keyvault.generated.models.JsonWebKeyOperation>`
:param key_attributes:
:type key_attributes: :class:`KeyAttributes
<azure.keyvault.generated.models.KeyAttributes>`
:param tags: Application specific metadata in the form of key-value
pairs.
:type tags: dict
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyBundle <azure.keyvault.generated.models.KeyBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.KeyUpdateParameters(key_ops=key_ops, key_attributes=key_attributes, tags=tags)
# Construct URL
url = '/keys/{key-name}/{key-version}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str'),
'key-version': self._serialize.url("key_version", key_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'KeyUpdateParameters')
# Construct and send request
request = self._client.patch(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_key(
self, vault_base_url, key_name, key_version, custom_headers=None, raw=False, **operation_config):
"""Gets the public part of a stored key. The get key operation is
applicable to all key types. If the requested key is symmetric, then no
key material is released in the response. Authorization: Requires the
keys/get permission.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of the key to get.
:type key_name: str
:param key_version: Adding the version parameter retrieves a specific
version of a key.
:type key_version: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyBundle <azure.keyvault.generated.models.KeyBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/keys/{key-name}/{key-version}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str'),
'key-version': self._serialize.url("key_version", key_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_key_versions(
self, vault_base_url, key_name, maxresults=None, custom_headers=None, raw=False, **operation_config):
"""Retrieves a list of individual key versions with the same key name. The
full key identifier, attributes, and tags are provided in the response.
Authorization: Requires the keys/list permission.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of the key.
:type key_name: str
:param maxresults: Maximum number of results to return in a page. If
not specified the service will return up to 25 results.
:type maxresults: int
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyItemPaged
<azure.keyvault.generated.models.KeyItemPaged>`
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/keys/{key-name}/versions'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if maxresults is not None:
query_parameters['maxresults'] = self._serialize.query("maxresults", maxresults, 'int', maximum=25, minimum=1)
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(
request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
return response
# Deserialize response
deserialized = models.KeyItemPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.KeyItemPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
def get_keys(
self, vault_base_url, maxresults=None, custom_headers=None, raw=False, **operation_config):
"""List keys in the specified vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param maxresults: Maximum number of results to return in a page. If
not specified the service will return up to 25 results.
:type maxresults: int
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyItemPaged
<azure.keyvault.generated.models.KeyItemPaged>`
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/keys'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True)
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if maxresults is not None:
query_parameters['maxresults'] = self._serialize.query("maxresults", maxresults, 'int', maximum=25, minimum=1)
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(
request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
return response
# Deserialize response
deserialized = models.KeyItemPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.KeyItemPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
def backup_key(
self, vault_base_url, key_name, custom_headers=None, raw=False, **operation_config):
"""Requests that a backup of the specified key be downloaded to the
client.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of the key.
:type key_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`BackupKeyResult
<azure.keyvault.generated.models.BackupKeyResult>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/keys/{key-name}/backup'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('BackupKeyResult', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def restore_key(
self, vault_base_url, key_bundle_backup, custom_headers=None, raw=False, **operation_config):
"""Restores a backed up key to a vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_bundle_backup: The backup blob associated with a key
bundle.
:type key_bundle_backup: bytes
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyBundle <azure.keyvault.generated.models.KeyBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.KeyRestoreParameters(key_bundle_backup=key_bundle_backup)
# Construct URL
url = '/keys/restore'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True)
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'KeyRestoreParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def encrypt(
self, vault_base_url, key_name, key_version, algorithm, value, custom_headers=None, raw=False, **operation_config):
"""Encrypts an arbitrary sequence of bytes using an encryption key that is
stored in a key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of the key.
:type key_name: str
:param key_version: The version of the key.
:type key_version: str
:param algorithm: algorithm identifier. Possible values include:
'RSA-OAEP', 'RSA1_5'
:type algorithm: str or :class:`JsonWebKeyEncryptionAlgorithm
<azure.keyvault.generated.models.JsonWebKeyEncryptionAlgorithm>`
:param value:
:type value: bytes
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyOperationResult
<azure.keyvault.generated.models.KeyOperationResult>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.KeyOperationsParameters(algorithm=algorithm, value=value)
# Construct URL
url = '/keys/{key-name}/{key-version}/encrypt'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str'),
'key-version': self._serialize.url("key_version", key_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'KeyOperationsParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyOperationResult', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def decrypt(
self, vault_base_url, key_name, key_version, algorithm, value, custom_headers=None, raw=False, **operation_config):
"""Decrypts a single block of encrypted data.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of the key.
:type key_name: str
:param key_version: The version of the key.
:type key_version: str
:param algorithm: algorithm identifier. Possible values include:
'RSA-OAEP', 'RSA1_5'
:type algorithm: str or :class:`JsonWebKeyEncryptionAlgorithm
<azure.keyvault.generated.models.JsonWebKeyEncryptionAlgorithm>`
:param value:
:type value: bytes
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyOperationResult
<azure.keyvault.generated.models.KeyOperationResult>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.KeyOperationsParameters(algorithm=algorithm, value=value)
# Construct URL
url = '/keys/{key-name}/{key-version}/decrypt'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str'),
'key-version': self._serialize.url("key_version", key_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'KeyOperationsParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyOperationResult', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def sign(
self, vault_base_url, key_name, key_version, algorithm, value, custom_headers=None, raw=False, **operation_config):
"""Creates a signature from a digest using the specified key.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of the key.
:type key_name: str
:param key_version: The version of the key.
:type key_version: str
:param algorithm: The signing/verification algorithm identifier. For
more information on possible algorithm types, see
JsonWebKeySignatureAlgorithm. Possible values include: 'RS256',
'RS384', 'RS512', 'RSNULL'
:type algorithm: str or :class:`JsonWebKeySignatureAlgorithm
<azure.keyvault.generated.models.JsonWebKeySignatureAlgorithm>`
:param value:
:type value: bytes
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyOperationResult
<azure.keyvault.generated.models.KeyOperationResult>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.KeySignParameters(algorithm=algorithm, value=value)
# Construct URL
url = '/keys/{key-name}/{key-version}/sign'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str'),
'key-version': self._serialize.url("key_version", key_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'KeySignParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyOperationResult', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def verify(
self, vault_base_url, key_name, key_version, algorithm, digest, signature, custom_headers=None, raw=False, **operation_config):
"""Verifies a signature using a specified key.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of the key.
:type key_name: str
:param key_version: The version of the key.
:type key_version: str
:param algorithm: The signing/verification algorithm. For more
information on possible algorithm types, see
JsonWebKeySignatureAlgorithm. Possible values include: 'RS256',
'RS384', 'RS512', 'RSNULL'
:type algorithm: str or :class:`JsonWebKeySignatureAlgorithm
<azure.keyvault.generated.models.JsonWebKeySignatureAlgorithm>`
:param digest: The digest used for signing.
:type digest: bytes
:param signature: The signature to be verified.
:type signature: bytes
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyVerifyResult
<azure.keyvault.generated.models.KeyVerifyResult>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.KeyVerifyParameters(algorithm=algorithm, digest=digest, signature=signature)
# Construct URL
url = '/keys/{key-name}/{key-version}/verify'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str'),
'key-version': self._serialize.url("key_version", key_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'KeyVerifyParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyVerifyResult', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def wrap_key(
self, vault_base_url, key_name, key_version, algorithm, value, custom_headers=None, raw=False, **operation_config):
"""Wraps a symmetric key using a specified key.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of the key.
:type key_name: str
:param key_version: The version of the key.
:type key_version: str
:param algorithm: algorithm identifier. Possible values include:
'RSA-OAEP', 'RSA1_5'
:type algorithm: str or :class:`JsonWebKeyEncryptionAlgorithm
<azure.keyvault.generated.models.JsonWebKeyEncryptionAlgorithm>`
:param value:
:type value: bytes
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyOperationResult
<azure.keyvault.generated.models.KeyOperationResult>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.KeyOperationsParameters(algorithm=algorithm, value=value)
# Construct URL
url = '/keys/{key-name}/{key-version}/wrapkey'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str'),
'key-version': self._serialize.url("key_version", key_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'KeyOperationsParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyOperationResult', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def unwrap_key(
self, vault_base_url, key_name, key_version, algorithm, value, custom_headers=None, raw=False, **operation_config):
"""Unwraps a symmetric key using the specified key that was initially used
for wrapping that key.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param key_name: The name of the key.
:type key_name: str
:param key_version: The version of the key.
:type key_version: str
:param algorithm: algorithm identifier. Possible values include:
'RSA-OAEP', 'RSA1_5'
:type algorithm: str or :class:`JsonWebKeyEncryptionAlgorithm
<azure.keyvault.generated.models.JsonWebKeyEncryptionAlgorithm>`
:param value:
:type value: bytes
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`KeyOperationResult
<azure.keyvault.generated.models.KeyOperationResult>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.KeyOperationsParameters(algorithm=algorithm, value=value)
# Construct URL
url = '/keys/{key-name}/{key-version}/unwrapkey'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'key-name': self._serialize.url("key_name", key_name, 'str'),
'key-version': self._serialize.url("key_version", key_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'KeyOperationsParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyOperationResult', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def set_secret(
self, vault_base_url, secret_name, value, tags=None, content_type=None, secret_attributes=None, custom_headers=None, raw=False, **operation_config):
"""Sets a secret in a specified key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param secret_name: The name of the secret.
:type secret_name: str
:param value: The value of the secret.
:type value: str
:param tags: Application specific metadata in the form of key-value
pairs.
:type tags: dict
:param content_type: Type of the secret value such as a password.
:type content_type: str
:param secret_attributes: The secret management attributes.
:type secret_attributes: :class:`SecretAttributes
<azure.keyvault.generated.models.SecretAttributes>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`SecretBundle
<azure.keyvault.generated.models.SecretBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.SecretSetParameters(value=value, tags=tags, content_type=content_type, secret_attributes=secret_attributes)
# Construct URL
url = '/secrets/{secret-name}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'secret-name': self._serialize.url("secret_name", secret_name, 'str', pattern='^[0-9a-zA-Z-]+$')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'SecretSetParameters')
# Construct and send request
request = self._client.put(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('SecretBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def delete_secret(
self, vault_base_url, secret_name, custom_headers=None, raw=False, **operation_config):
"""Deletes a secret from a specified key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param secret_name: The name of the secret.
:type secret_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`SecretBundle
<azure.keyvault.generated.models.SecretBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/secrets/{secret-name}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'secret-name': self._serialize.url("secret_name", secret_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('SecretBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def update_secret(
self, vault_base_url, secret_name, secret_version, content_type=None, secret_attributes=None, tags=None, custom_headers=None, raw=False, **operation_config):
"""Updates the attributes associated with a specified secret in a given
key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param secret_name: The name of the secret.
:type secret_name: str
:param secret_version: The version of the secret.
:type secret_version: str
:param content_type: Type of the secret value such as a password.
:type content_type: str
:param secret_attributes: The secret management attributes.
:type secret_attributes: :class:`SecretAttributes
<azure.keyvault.generated.models.SecretAttributes>`
:param tags: Application specific metadata in the form of key-value
pairs.
:type tags: dict
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`SecretBundle
<azure.keyvault.generated.models.SecretBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.SecretUpdateParameters(content_type=content_type, secret_attributes=secret_attributes, tags=tags)
# Construct URL
url = '/secrets/{secret-name}/{secret-version}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'secret-name': self._serialize.url("secret_name", secret_name, 'str'),
'secret-version': self._serialize.url("secret_version", secret_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'SecretUpdateParameters')
# Construct and send request
request = self._client.patch(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('SecretBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_secret(
self, vault_base_url, secret_name, secret_version, custom_headers=None, raw=False, **operation_config):
"""Get a specified secret from a given key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param secret_name: The name of the secret.
:type secret_name: str
:param secret_version: The version of the secret.
:type secret_version: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`SecretBundle
<azure.keyvault.generated.models.SecretBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/secrets/{secret-name}/{secret-version}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'secret-name': self._serialize.url("secret_name", secret_name, 'str'),
'secret-version': self._serialize.url("secret_version", secret_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('SecretBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_secrets(
self, vault_base_url, maxresults=None, custom_headers=None, raw=False, **operation_config):
"""List secrets in a specified key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param maxresults: Maximum number of results to return in a page. If
not specified the service will return up to 25 results.
:type maxresults: int
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`SecretItemPaged
<azure.keyvault.generated.models.SecretItemPaged>`
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/secrets'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True)
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if maxresults is not None:
query_parameters['maxresults'] = self._serialize.query("maxresults", maxresults, 'int', maximum=25, minimum=1)
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(
request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
return response
# Deserialize response
deserialized = models.SecretItemPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.SecretItemPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
def get_secret_versions(
self, vault_base_url, secret_name, maxresults=None, custom_headers=None, raw=False, **operation_config):
"""List the versions of the specified secret.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param secret_name: The name of the secret.
:type secret_name: str
:param maxresults: Maximum number of results to return in a page. If
not specified the service will return up to 25 results.
:type maxresults: int
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`SecretItemPaged
<azure.keyvault.generated.models.SecretItemPaged>`
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/secrets/{secret-name}/versions'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'secret-name': self._serialize.url("secret_name", secret_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if maxresults is not None:
query_parameters['maxresults'] = self._serialize.query("maxresults", maxresults, 'int', maximum=25, minimum=1)
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(
request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
return response
# Deserialize response
deserialized = models.SecretItemPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.SecretItemPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
def get_certificates(
self, vault_base_url, maxresults=None, custom_headers=None, raw=False, **operation_config):
"""List certificates in a specified key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param maxresults: Maximum number of results to return in a page. If
not specified the service will return up to 25 results.
:type maxresults: int
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateItemPaged
<azure.keyvault.generated.models.CertificateItemPaged>`
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/certificates'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True)
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if maxresults is not None:
query_parameters['maxresults'] = self._serialize.query("maxresults", maxresults, 'int', maximum=25, minimum=1)
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(
request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
return response
# Deserialize response
deserialized = models.CertificateItemPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.CertificateItemPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
def delete_certificate(
self, vault_base_url, certificate_name, custom_headers=None, raw=False, **operation_config):
"""Deletes a certificate from a specified key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate.
:type certificate_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateBundle
<azure.keyvault.generated.models.CertificateBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/certificates/{certificate-name}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('CertificateBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def set_certificate_contacts(
self, vault_base_url, contact_list=None, custom_headers=None, raw=False, **operation_config):
"""Sets the certificate contacts for the specified key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param contact_list: The contact list for the vault certificates.
:type contact_list: list of :class:`Contact
<azure.keyvault.generated.models.Contact>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`Contacts <azure.keyvault.generated.models.Contacts>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
contacts = models.Contacts(contact_list=contact_list)
# Construct URL
url = '/certificates/contacts'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True)
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(contacts, 'Contacts')
# Construct and send request
request = self._client.put(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('Contacts', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_certificate_contacts(
self, vault_base_url, custom_headers=None, raw=False, **operation_config):
"""Lists the certificate contacts for a specified key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`Contacts <azure.keyvault.generated.models.Contacts>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/certificates/contacts'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True)
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('Contacts', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def delete_certificate_contacts(
self, vault_base_url, custom_headers=None, raw=False, **operation_config):
"""Deletes the certificate contacts for a specified key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`Contacts <azure.keyvault.generated.models.Contacts>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/certificates/contacts'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True)
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('Contacts', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_certificate_issuers(
self, vault_base_url, maxresults=None, custom_headers=None, raw=False, **operation_config):
"""List certificate issuers for a specified key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param maxresults: Maximum number of results to return in a page. If
not specified the service will return up to 25 results.
:type maxresults: int
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateIssuerItemPaged
<azure.keyvault.generated.models.CertificateIssuerItemPaged>`
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/certificates/issuers'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True)
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if maxresults is not None:
query_parameters['maxresults'] = self._serialize.query("maxresults", maxresults, 'int', maximum=25, minimum=1)
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(
request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
return response
# Deserialize response
deserialized = models.CertificateIssuerItemPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.CertificateIssuerItemPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
def set_certificate_issuer(
self, vault_base_url, issuer_name, provider, credentials=None, organization_details=None, attributes=None, custom_headers=None, raw=False, **operation_config):
"""Sets the specified certificate issuer.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param issuer_name: The name of the issuer.
:type issuer_name: str
:param provider: The issuer provider.
:type provider: str
:param credentials: The credentials to be used for the issuer.
:type credentials: :class:`IssuerCredentials
<azure.keyvault.generated.models.IssuerCredentials>`
:param organization_details: Details of the organization as provided
to the issuer.
:type organization_details: :class:`OrganizationDetails
<azure.keyvault.generated.models.OrganizationDetails>`
:param attributes: Attributes of the issuer object.
:type attributes: :class:`IssuerAttributes
<azure.keyvault.generated.models.IssuerAttributes>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`IssuerBundle
<azure.keyvault.generated.models.IssuerBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameter = models.CertificateIssuerSetParameters(provider=provider, credentials=credentials, organization_details=organization_details, attributes=attributes)
# Construct URL
url = '/certificates/issuers/{issuer-name}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'issuer-name': self._serialize.url("issuer_name", issuer_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameter, 'CertificateIssuerSetParameters')
# Construct and send request
request = self._client.put(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('IssuerBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def update_certificate_issuer(
self, vault_base_url, issuer_name, provider=None, credentials=None, organization_details=None, attributes=None, custom_headers=None, raw=False, **operation_config):
"""Updates the specified certificate issuer.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param issuer_name: The name of the issuer.
:type issuer_name: str
:param provider: The issuer provider.
:type provider: str
:param credentials: The credentials to be used for the issuer.
:type credentials: :class:`IssuerCredentials
<azure.keyvault.generated.models.IssuerCredentials>`
:param organization_details: Details of the organization as provided
to the issuer.
:type organization_details: :class:`OrganizationDetails
<azure.keyvault.generated.models.OrganizationDetails>`
:param attributes: Attributes of the issuer object.
:type attributes: :class:`IssuerAttributes
<azure.keyvault.generated.models.IssuerAttributes>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`IssuerBundle
<azure.keyvault.generated.models.IssuerBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameter = models.CertificateIssuerUpdateParameters(provider=provider, credentials=credentials, organization_details=organization_details, attributes=attributes)
# Construct URL
url = '/certificates/issuers/{issuer-name}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'issuer-name': self._serialize.url("issuer_name", issuer_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameter, 'CertificateIssuerUpdateParameters')
# Construct and send request
request = self._client.patch(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('IssuerBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_certificate_issuer(
self, vault_base_url, issuer_name, custom_headers=None, raw=False, **operation_config):
"""Lists the specified certificate issuer.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param issuer_name: The name of the issuer.
:type issuer_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`IssuerBundle
<azure.keyvault.generated.models.IssuerBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/certificates/issuers/{issuer-name}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'issuer-name': self._serialize.url("issuer_name", issuer_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('IssuerBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def delete_certificate_issuer(
self, vault_base_url, issuer_name, custom_headers=None, raw=False, **operation_config):
"""Deletes the specified certificate issuer.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param issuer_name: The name of the issuer.
:type issuer_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`IssuerBundle
<azure.keyvault.generated.models.IssuerBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/certificates/issuers/{issuer-name}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'issuer-name': self._serialize.url("issuer_name", issuer_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('IssuerBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def create_certificate(
self, vault_base_url, certificate_name, certificate_policy=None, certificate_attributes=None, tags=None, custom_headers=None, raw=False, **operation_config):
"""Creates a new certificate. If this is the first version, the
certificate resource is created.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate.
:type certificate_name: str
:param certificate_policy: The management policy for the certificate.
:type certificate_policy: :class:`CertificatePolicy
<azure.keyvault.generated.models.CertificatePolicy>`
:param certificate_attributes: The attributes of the certificate
(optional).
:type certificate_attributes: :class:`CertificateAttributes
<azure.keyvault.generated.models.CertificateAttributes>`
:param tags: Application specific metadata in the form of key-value
pairs.
:type tags: dict
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateOperation
<azure.keyvault.generated.models.CertificateOperation>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.CertificateCreateParameters(certificate_policy=certificate_policy, certificate_attributes=certificate_attributes, tags=tags)
# Construct URL
url = '/certificates/{certificate-name}/create'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str', pattern='^[0-9a-zA-Z-]+$')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'CertificateCreateParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [202]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 202:
deserialized = self._deserialize('CertificateOperation', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def import_certificate(
self, vault_base_url, certificate_name, base64_encoded_certificate, password=None, certificate_policy=None, certificate_attributes=None, tags=None, custom_headers=None, raw=False, **operation_config):
"""Imports a certificate into a specified key vault.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate.
:type certificate_name: str
:param base64_encoded_certificate: Base64 encoded representation of
the certificate object to import. This certificate needs to contain
the private key.
:type base64_encoded_certificate: str
:param password: If the private key in base64EncodedCertificate is
encrypted, the password used for encryption.
:type password: str
:param certificate_policy: The management policy for the certificate.
:type certificate_policy: :class:`CertificatePolicy
<azure.keyvault.generated.models.CertificatePolicy>`
:param certificate_attributes: The attributes of the certificate
(optional).
:type certificate_attributes: :class:`CertificateAttributes
<azure.keyvault.generated.models.CertificateAttributes>`
:param tags: Application specific metadata in the form of key-value
pairs.
:type tags: dict
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateBundle
<azure.keyvault.generated.models.CertificateBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.CertificateImportParameters(base64_encoded_certificate=base64_encoded_certificate, password=password, certificate_policy=certificate_policy, certificate_attributes=certificate_attributes, tags=tags)
# Construct URL
url = '/certificates/{certificate-name}/import'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str', pattern='^[0-9a-zA-Z-]+$')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'CertificateImportParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('CertificateBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_certificate_versions(
self, vault_base_url, certificate_name, maxresults=None, custom_headers=None, raw=False, **operation_config):
"""List the versions of a certificate.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate.
:type certificate_name: str
:param maxresults: Maximum number of results to return in a page. If
not specified the service will return up to 25 results.
:type maxresults: int
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateItemPaged
<azure.keyvault.generated.models.CertificateItemPaged>`
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/certificates/{certificate-name}/versions'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if maxresults is not None:
query_parameters['maxresults'] = self._serialize.query("maxresults", maxresults, 'int', maximum=25, minimum=1)
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(
request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
return response
# Deserialize response
deserialized = models.CertificateItemPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.CertificateItemPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
def get_certificate_policy(
self, vault_base_url, certificate_name, custom_headers=None, raw=False, **operation_config):
"""Lists the policy for a certificate.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate in a given key
vault.
:type certificate_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificatePolicy
<azure.keyvault.generated.models.CertificatePolicy>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/certificates/{certificate-name}/policy'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('CertificatePolicy', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def update_certificate_policy(
self, vault_base_url, certificate_name, certificate_policy, custom_headers=None, raw=False, **operation_config):
"""Updates the policy for a certificate. Set specified members in the
certificate policy. Leave others as null.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate in the given
vault.
:type certificate_name: str
:param certificate_policy: The policy for the certificate.
:type certificate_policy: :class:`CertificatePolicy
<azure.keyvault.generated.models.CertificatePolicy>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificatePolicy
<azure.keyvault.generated.models.CertificatePolicy>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/certificates/{certificate-name}/policy'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(certificate_policy, 'CertificatePolicy')
# Construct and send request
request = self._client.patch(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('CertificatePolicy', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def update_certificate(
self, vault_base_url, certificate_name, certificate_version, certificate_policy=None, certificate_attributes=None, tags=None, custom_headers=None, raw=False, **operation_config):
"""Updates the specified attributes associated with the given certificate.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate in the given key
vault.
:type certificate_name: str
:param certificate_version: The version of the certificate.
:type certificate_version: str
:param certificate_policy: The management policy for the certificate.
:type certificate_policy: :class:`CertificatePolicy
<azure.keyvault.generated.models.CertificatePolicy>`
:param certificate_attributes: The attributes of the certificate
(optional).
:type certificate_attributes: :class:`CertificateAttributes
<azure.keyvault.generated.models.CertificateAttributes>`
:param tags: Application specific metadata in the form of key-value
pairs.
:type tags: dict
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateBundle
<azure.keyvault.generated.models.CertificateBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.CertificateUpdateParameters(certificate_policy=certificate_policy, certificate_attributes=certificate_attributes, tags=tags)
# Construct URL
url = '/certificates/{certificate-name}/{certificate-version}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str'),
'certificate-version': self._serialize.url("certificate_version", certificate_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'CertificateUpdateParameters')
# Construct and send request
request = self._client.patch(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('CertificateBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_certificate(
self, vault_base_url, certificate_name, certificate_version, custom_headers=None, raw=False, **operation_config):
"""Gets information about a specified certificate.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate in the given
vault.
:type certificate_name: str
:param certificate_version: The version of the certificate.
:type certificate_version: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateBundle
<azure.keyvault.generated.models.CertificateBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/certificates/{certificate-name}/{certificate-version}'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str'),
'certificate-version': self._serialize.url("certificate_version", certificate_version, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('CertificateBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def update_certificate_operation(
self, vault_base_url, certificate_name, cancellation_requested, custom_headers=None, raw=False, **operation_config):
"""Updates a certificate operation.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate.
:type certificate_name: str
:param cancellation_requested: Indicates if cancellation was requested
on the certificate operation.
:type cancellation_requested: bool
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateOperation
<azure.keyvault.generated.models.CertificateOperation>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
certificate_operation = models.CertificateOperationUpdateParameter(cancellation_requested=cancellation_requested)
# Construct URL
url = '/certificates/{certificate-name}/pending'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(certificate_operation, 'CertificateOperationUpdateParameter')
# Construct and send request
request = self._client.patch(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('CertificateOperation', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_certificate_operation(
self, vault_base_url, certificate_name, custom_headers=None, raw=False, **operation_config):
"""Gets the operation associated with a specified certificate.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate.
:type certificate_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateOperation
<azure.keyvault.generated.models.CertificateOperation>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/certificates/{certificate-name}/pending'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('CertificateOperation', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def delete_certificate_operation(
self, vault_base_url, certificate_name, custom_headers=None, raw=False, **operation_config):
"""Deletes the operation for a specified certificate.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate.
:type certificate_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateOperation
<azure.keyvault.generated.models.CertificateOperation>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
# Construct URL
url = '/certificates/{certificate-name}/pending'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('CertificateOperation', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def merge_certificate(
self, vault_base_url, certificate_name, x509_certificates, certificate_attributes=None, tags=None, custom_headers=None, raw=False, **operation_config):
"""Merges a certificate or a certificate chain with a key pair existing on
the server.
:param vault_base_url: The vault name, for example
https://myvault.vault.azure.net.
:type vault_base_url: str
:param certificate_name: The name of the certificate.
:type certificate_name: str
:param x509_certificates: The certificate or the certificate chain to
merge.
:type x509_certificates: list of bytearray
:param certificate_attributes: The attributes of the certificate
(optional).
:type certificate_attributes: :class:`CertificateAttributes
<azure.keyvault.generated.models.CertificateAttributes>`
:param tags: Application specific metadata in the form of key-value
pairs.
:type tags: dict
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CertificateBundle
<azure.keyvault.generated.models.CertificateBundle>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`KeyVaultErrorException<azure.keyvault.generated.models.KeyVaultErrorException>`
"""
parameters = models.CertificateMergeParameters(x509_certificates=x509_certificates, certificate_attributes=certificate_attributes, tags=tags)
# Construct URL
url = '/certificates/{certificate-name}/pending/merge'
path_format_arguments = {
'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True),
'certificate-name': self._serialize.url("certificate_name", certificate_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'CertificateMergeParameters')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [201]:
raise models.KeyVaultErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 201:
deserialized = self._deserialize('CertificateBundle', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
| 46.191586
| 226
| 0.670641
| 15,448
| 142,732
| 6.00233
| 0.028288
| 0.027501
| 0.027177
| 0.032613
| 0.932574
| 0.927764
| 0.924895
| 0.920096
| 0.915491
| 0.907942
| 0
| 0.00412
| 0.238111
| 142,732
| 3,089
| 227
| 46.206539
| 0.848546
| 0.336175
| 0
| 0.85579
| 0
| 0
| 0.131119
| 0.052898
| 0
| 0
| 0
| 0
| 0
| 1
| 0.037145
| false
| 0.001457
| 0.010197
| 0
| 0.115076
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
02f2b5b07ea2dab0a8079a33348242895e9298e9
| 1,404
|
py
|
Python
|
dataxHWSp2021/HW5_Flask/student/pytests/test_cli_del_post.py
|
UCBerkeley-SCET/DataX-Berkeley
|
f912d22c838b511d3ada4ecfa3548afd80437b74
|
[
"Apache-2.0"
] | 28
|
2020-06-15T23:53:36.000Z
|
2022-03-19T09:27:02.000Z
|
dataxHWSp2021/HW5_Flask/student/pytests/test_cli_del_post.py
|
UCBerkeley-SCET/DataX-Berkeley
|
f912d22c838b511d3ada4ecfa3548afd80437b74
|
[
"Apache-2.0"
] | 4
|
2020-06-24T22:20:31.000Z
|
2022-02-28T01:37:36.000Z
|
dataxHWSp2021/HW5_Flask/student/pytests/test_cli_del_post.py
|
UCBerkeley-SCET/DataX-Berkeley
|
f912d22c838b511d3ada4ecfa3548afd80437b74
|
[
"Apache-2.0"
] | 78
|
2020-06-19T09:41:01.000Z
|
2022-02-05T00:13:29.000Z
|
from flaskr.db import get_db
import os
with open(os.path.join(os.path.dirname(__file__),
'data-test-cli.sql'), 'rb') as f:
_data_sql = f.read().decode('utf8')
def test_del_post_command_1(runner, app):
with app.app_context():
get_db().executescript(_data_sql)
runner.invoke(args=['del-post', '1'], input='y')
db = get_db()
post = db.execute('SELECT * FROM post WHERE id = 1').fetchone()
assert post is None
reply = db.execute('SELECT * FROM reply WHERE post_id = 1').fetchone()
assert reply is None
post = db.execute('SELECT * FROM post WHERE id = 2').fetchall()
assert post is not None
reply = db.execute('SELECT * FROM reply WHERE post_id = 2').fetchall()
assert len(reply) == 2
def test_del_post_command_2(runner, app):
with app.app_context():
get_db().executescript(_data_sql)
runner.invoke(args=['del-post', '2'], input='y')
db = get_db()
post = db.execute('SELECT * FROM post WHERE id = 2').fetchone()
assert post is None
reply = db.execute('SELECT * FROM reply WHERE post_id = 2').fetchone()
assert reply is None
post = db.execute('SELECT * FROM post WHERE id = 1').fetchall()
assert post is not None
reply = db.execute('SELECT * FROM reply WHERE post_id = 1').fetchall()
assert len(reply) == 2
| 37.945946
| 78
| 0.611111
| 204
| 1,404
| 4.063725
| 0.235294
| 0.086852
| 0.144753
| 0.183353
| 0.866104
| 0.759952
| 0.759952
| 0.759952
| 0.759952
| 0.755127
| 0
| 0.014313
| 0.253561
| 1,404
| 36
| 79
| 39
| 0.776718
| 0
| 0
| 0.451613
| 0
| 0
| 0.224359
| 0
| 0
| 0
| 0
| 0
| 0.258065
| 1
| 0.064516
| false
| 0
| 0.064516
| 0
| 0.129032
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
f320067162458caf484cd6d26123c7f5ede3bc1a
| 21,898
|
py
|
Python
|
day9/day9.py
|
BroderickCarlin/AdventOfCode
|
52d12d16f3d291a51984e6d85dbe97e604abc005
|
[
"MIT"
] | null | null | null |
day9/day9.py
|
BroderickCarlin/AdventOfCode
|
52d12d16f3d291a51984e6d85dbe97e604abc005
|
[
"MIT"
] | null | null | null |
day9/day9.py
|
BroderickCarlin/AdventOfCode
|
52d12d16f3d291a51984e6d85dbe97e604abc005
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
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o!>,<'<u!{\"e<}{!>,<\"!>>}},{{<!!!>>}}},{<,\"{u'!>!>,<!\">,{{{<!>,<ea!!!>a!!!!!a!\"!},!>o!>,<\",!!!,u!!!>},<>}},{<!>,<!>},<}\"!>,<!!''<,{!!<ii!!i!>o>}}}},{{{{<ouoi<!>},<!ui!!e!>},<!!!!a>},<!>},<a!!e!>,<!!!>'!>o!>!\"{ae{a!!a<i!>>},<i{>},{<i,>,<a!<'i<i'!a\"a!i{<!>!>},<!>,<\"!>a>}},{{<,{}i!}'!{!>>},{}}},{{{{<i>},{<!o!!!!!>,<a!!!>>,<!>,<e'{o!!!>,<>}},{{<>},{<>,{<!!}<\"!!!!!!\"!!!>!!!>e!!!>!>a!o!,ue,{!ua>}}},{{{<>},{<!>,<,}\"!!ao\"!>,<<!!!!!!!!!>,<!>>}},{<}!!!>!!uo}!!!!!!!>,<!!!>!o,u!>,<!!!>a!!,!>>,{<e>}},{{<{!!!>,<!>},<\",\"i!!>,{{<{i'!!{\"\"i!!!>,<!uau,!!!}\"e!>>},{{<o>}}}},{},{<!>,<a!>,<{i!!!!!>}a,!!u!>},<!!!>\"!>},<!{>,{}}}}}}}}"
def puzzle():
def track_garbage(idx):
i = 1
count = 0
while stream[idx + i] != '>':
if stream[idx + i] == '!':
i += 2
else:
i += 1
count += 1
return i, count
def track_group(idx, score):
level = score
count = 0
i = 1
while stream[idx + i] != '}':
if stream[idx + i] == '!':
# skip the next character
i += 2
continue
elif stream[idx + i] == '<':
# start of some garbage
dif, c = track_garbage(idx + i)
i += dif
count += c
continue
elif stream[idx + i] == '{':
# start of a new group
s, dif, c = track_group(idx + i, level + 1)
score += s
i += dif + 1
count += c
else:
# random character
i += 1
return score, i, count
s, i, c = track_group(0, 1)
return s, c
if __name__ == "__main__":
p1, p2 = puzzle()
print("1: {}\n2: {}".format(p1, p2))
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| false
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| 0.026316
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0
| 7
|
b833d96446873d737a94be13cac176343da30f72
| 9,276
|
py
|
Python
|
api/gradebook/migrations/0001_initial.py
|
Latiftanga/TagnatekAPI
|
8ad609a5d7097051796d25d9b532c770d32ac304
|
[
"MIT"
] | null | null | null |
api/gradebook/migrations/0001_initial.py
|
Latiftanga/TagnatekAPI
|
8ad609a5d7097051796d25d9b532c770d32ac304
|
[
"MIT"
] | null | null | null |
api/gradebook/migrations/0001_initial.py
|
Latiftanga/TagnatekAPI
|
8ad609a5d7097051796d25d9b532c770d32ac304
|
[
"MIT"
] | null | null | null |
# Generated by Django 3.2.10 on 2022-01-10 17:51
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('core', '0007_alter_user_school'),
('students', '0009_auto_20220106_1611'),
('staff', '0010_alter_appointment_staff'),
]
operations = [
migrations.CreateModel(
name='Assignment',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=64, unique=True)),
('date', models.DateField(default=True)),
('points', models.DecimalField(decimal_places=1, max_digits=3)),
('created', models.DateTimeField(auto_now_add=True)),
('created_by', models.CharField(blank=True, max_length=64)),
('updated', models.DateTimeField(auto_now=True)),
('updated_by', models.CharField(blank=True, max_length=64)),
],
),
migrations.CreateModel(
name='ClassType',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=65, unique=True)),
('created', models.DateTimeField(auto_now_add=True)),
('created_by', models.CharField(blank=True, max_length=64)),
('updated', models.DateTimeField(auto_now=True)),
('updated_by', models.CharField(blank=True, max_length=64)),
],
),
migrations.CreateModel(
name='Grade',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=64, unique=True)),
('min_points', models.DecimalField(decimal_places=1, max_digits=4)),
('max_points', models.DecimalField(decimal_places=1, max_digits=4)),
('remark', models.CharField(max_length=64)),
('created', models.DateTimeField(auto_now_add=True)),
('created_by', models.CharField(blank=True, max_length=64)),
('updated', models.DateTimeField(auto_now=True)),
('updated_by', models.CharField(blank=True, max_length=64)),
],
),
migrations.CreateModel(
name='Subject',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=64, unique=True)),
('created', models.DateTimeField(auto_now_add=True, null=True)),
('created_by', models.CharField(blank=True, max_length=64)),
('updated', models.DateTimeField(auto_now=True, null=True)),
('updated_by', models.CharField(blank=True, max_length=64)),
],
),
migrations.CreateModel(
name='Year',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('start_date', models.DateField()),
('end_date', models.DateField()),
('is_active', models.BooleanField(default=True)),
('created', models.DateTimeField(auto_now_add=True)),
('created_by', models.CharField(blank=True, max_length=64)),
('updated', models.DateTimeField(auto_now=True)),
('updated_by', models.CharField(blank=True, max_length=64)),
('school', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='years', to='core.school')),
],
),
migrations.CreateModel(
name='Term',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=64)),
('start_date', models.DateField()),
('end_date', models.DateField()),
('is_active', models.BooleanField(default=True)),
('created', models.DateTimeField(auto_now_add=True)),
('created_by', models.CharField(blank=True, max_length=64)),
('updated', models.DateTimeField(auto_now=True)),
('updated_by', models.CharField(blank=True, max_length=64)),
('year', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='terms', to='gradebook.year')),
],
),
migrations.CreateModel(
name='Score',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('points', models.DecimalField(blank=True, decimal_places=1, max_digits=4, null=True)),
('created', models.DateTimeField(auto_now_add=True)),
('created_by', models.CharField(blank=True, max_length=64)),
('updated', models.DateTimeField(auto_now=True)),
('updated_by', models.CharField(blank=True, max_length=64)),
('assignment', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='scores', to='gradebook.assignment')),
('student', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='scores', to='students.student')),
],
),
migrations.CreateModel(
name='Period',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=32, unique=True)),
('start_time', models.TimeField()),
('end_time', models.TimeField()),
('created', models.DateTimeField(auto_now_add=True)),
('created_by', models.CharField(blank=True, max_length=64)),
('updated', models.DateTimeField(auto_now=True)),
('updated_by', models.CharField(blank=True, max_length=64)),
('school', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='periods', to='core.school')),
],
),
migrations.CreateModel(
name='Class',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('created_by', models.CharField(blank=True, max_length=64)),
('updated', models.DateTimeField(auto_now=True)),
('updated_by', models.CharField(blank=True, max_length=64)),
('class_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='classes', to='gradebook.classtype', verbose_name='type')),
('periods', models.ManyToManyField(blank=True, related_name='classes', to='gradebook.Period')),
('students', models.ManyToManyField(blank=True, related_name='classes', to='students.Student')),
('subject', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='classes', to='gradebook.subject')),
('teacher', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='classes', to='staff.staff')),
('term', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='classes', to='gradebook.term')),
],
options={
'verbose_name': 'class',
'verbose_name_plural': 'classes',
},
),
migrations.CreateModel(
name='AssignmentType',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=64, unique=True)),
('points', models.DecimalField(decimal_places=1, max_digits=4)),
('created', models.DateTimeField(auto_now_add=True)),
('created_by', models.CharField(blank=True, max_length=64)),
('updated', models.DateTimeField(auto_now=True)),
('updated_by', models.CharField(blank=True, max_length=64)),
('school', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='assignment_types', to='core.school')),
],
),
migrations.AddField(
model_name='assignment',
name='assignment_type',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='assignments', to='gradebook.assignmenttype'),
),
migrations.AddField(
model_name='assignment',
name='students',
field=models.ManyToManyField(related_name='assignments', through='gradebook.Score', to='students.Student'),
),
]
| 55.54491
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0
| 7
|
b85a91d0807cc29f4836d24c14e7e2489b7b859a
| 49,884
|
py
|
Python
|
api/client/swagger_client/api/notebook_service_api.py
|
Zachary-Fernandes/mlx
|
d5117c5585b969ca0de5f321d14b5a27cd468280
|
[
"Apache-2.0"
] | null | null | null |
api/client/swagger_client/api/notebook_service_api.py
|
Zachary-Fernandes/mlx
|
d5117c5585b969ca0de5f321d14b5a27cd468280
|
[
"Apache-2.0"
] | null | null | null |
api/client/swagger_client/api/notebook_service_api.py
|
Zachary-Fernandes/mlx
|
d5117c5585b969ca0de5f321d14b5a27cd468280
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2021 The MLX Contributors
#
# SPDX-License-Identifier: Apache-2.0
# coding: utf-8
"""
MLX API
MLX API Extension for Kubeflow Pipelines # noqa: E501
OpenAPI spec version: 0.1.29-filter-categories
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from swagger_client.api_client import ApiClient
class NotebookServiceApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def approve_notebooks_for_publishing(self, notebook_ids, **kwargs): # noqa: E501
"""approve_notebooks_for_publishing # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.approve_notebooks_for_publishing(notebook_ids, async_req=True)
>>> result = thread.get()
:param async_req bool
:param list[str] notebook_ids: Array of notebook IDs to be approved for publishing. (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.approve_notebooks_for_publishing_with_http_info(notebook_ids, **kwargs) # noqa: E501
else:
(data) = self.approve_notebooks_for_publishing_with_http_info(notebook_ids, **kwargs) # noqa: E501
return data
def approve_notebooks_for_publishing_with_http_info(self, notebook_ids, **kwargs): # noqa: E501
"""approve_notebooks_for_publishing # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.approve_notebooks_for_publishing_with_http_info(notebook_ids, async_req=True)
>>> result = thread.get()
:param async_req bool
:param list[str] notebook_ids: Array of notebook IDs to be approved for publishing. (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['notebook_ids'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method approve_notebooks_for_publishing" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'notebook_ids' is set
if ('notebook_ids' not in params or
params['notebook_ids'] is None):
raise ValueError("Missing the required parameter `notebook_ids` when calling `approve_notebooks_for_publishing`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'notebook_ids' in params:
body_params = params['notebook_ids']
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/publish_approved', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def create_notebook(self, body, **kwargs): # noqa: E501
"""create_notebook # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_notebook(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ApiNotebook body: (required)
:return: ApiNotebook
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_notebook_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.create_notebook_with_http_info(body, **kwargs) # noqa: E501
return data
def create_notebook_with_http_info(self, body, **kwargs): # noqa: E501
"""create_notebook # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_notebook_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ApiNotebook body: (required)
:return: ApiNotebook
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_notebook" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `create_notebook`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ApiNotebook', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_notebook(self, id, **kwargs): # noqa: E501
"""delete_notebook # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_notebook(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_notebook_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.delete_notebook_with_http_info(id, **kwargs) # noqa: E501
return data
def delete_notebook_with_http_info(self, id, **kwargs): # noqa: E501
"""delete_notebook # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_notebook_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_notebook" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `delete_notebook`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/{id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def download_notebook_files(self, id, **kwargs): # noqa: E501
"""Returns the notebook artifacts compressed into a .tgz (.tar.gz) file. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.download_notebook_files(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:param bool include_generated_code: Include generated run script in download
:return: file
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.download_notebook_files_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.download_notebook_files_with_http_info(id, **kwargs) # noqa: E501
return data
def download_notebook_files_with_http_info(self, id, **kwargs): # noqa: E501
"""Returns the notebook artifacts compressed into a .tgz (.tar.gz) file. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.download_notebook_files_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:param bool include_generated_code: Include generated run script in download
:return: file
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id', 'include_generated_code'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method download_notebook_files" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `download_notebook_files`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
if 'include_generated_code' in params:
query_params.append(('include_generated_code', params['include_generated_code'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/gzip']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/{id}/download', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='file', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', False),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def generate_notebook_code(self, id, **kwargs): # noqa: E501
"""generate_notebook_code # noqa: E501
Generate sample code to use notebook in a pipeline # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.generate_notebook_code(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:return: ApiGenerateCodeResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.generate_notebook_code_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.generate_notebook_code_with_http_info(id, **kwargs) # noqa: E501
return data
def generate_notebook_code_with_http_info(self, id, **kwargs): # noqa: E501
"""generate_notebook_code # noqa: E501
Generate sample code to use notebook in a pipeline # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.generate_notebook_code_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:return: ApiGenerateCodeResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method generate_notebook_code" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `generate_notebook_code`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/{id}/generate_code', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ApiGenerateCodeResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_notebook(self, id, **kwargs): # noqa: E501
"""get_notebook # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_notebook(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:return: ApiNotebook
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_notebook_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.get_notebook_with_http_info(id, **kwargs) # noqa: E501
return data
def get_notebook_with_http_info(self, id, **kwargs): # noqa: E501
"""get_notebook # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_notebook_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:return: ApiNotebook
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_notebook" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `get_notebook`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/{id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ApiNotebook', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_notebook_template(self, id, **kwargs): # noqa: E501
"""get_notebook_template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_notebook_template(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:return: ApiGetTemplateResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_notebook_template_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.get_notebook_template_with_http_info(id, **kwargs) # noqa: E501
return data
def get_notebook_template_with_http_info(self, id, **kwargs): # noqa: E501
"""get_notebook_template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_notebook_template_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:return: ApiGetTemplateResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_notebook_template" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `get_notebook_template`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/{id}/templates', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ApiGetTemplateResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def list_notebooks(self, **kwargs): # noqa: E501
"""list_notebooks # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_notebooks(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str page_token:
:param int page_size:
:param str sort_by: Can be format of \"field_name\", \"field_name asc\" or \"field_name desc\" Ascending by default.
:param str filter: A string-serialized JSON dictionary with key-value pairs that correspond to the Notebook's attribute names and their respective values to be filtered for.
:return: ApiListNotebooksResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.list_notebooks_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.list_notebooks_with_http_info(**kwargs) # noqa: E501
return data
def list_notebooks_with_http_info(self, **kwargs): # noqa: E501
"""list_notebooks # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_notebooks_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str page_token:
:param int page_size:
:param str sort_by: Can be format of \"field_name\", \"field_name asc\" or \"field_name desc\" Ascending by default.
:param str filter: A string-serialized JSON dictionary with key-value pairs that correspond to the Notebook's attribute names and their respective values to be filtered for.
:return: ApiListNotebooksResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['page_token', 'page_size', 'sort_by', 'filter'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method list_notebooks" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'page_token' in params:
query_params.append(('page_token', params['page_token'])) # noqa: E501
if 'page_size' in params:
query_params.append(('page_size', params['page_size'])) # noqa: E501
if 'sort_by' in params:
query_params.append(('sort_by', params['sort_by'])) # noqa: E501
if 'filter' in params:
query_params.append(('filter', params['filter'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ApiListNotebooksResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def run_notebook(self, id, **kwargs): # noqa: E501
"""run_notebook # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.run_notebook(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:param str run_name: name to identify the run on the Kubeflow Pipelines UI, defaults to notebook name
:param dict parameters: optional run parameters, may be required based on pipeline definition
:return: ApiRunCodeResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.run_notebook_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.run_notebook_with_http_info(id, **kwargs) # noqa: E501
return data
def run_notebook_with_http_info(self, id, **kwargs): # noqa: E501
"""run_notebook # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.run_notebook_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:param str run_name: name to identify the run on the Kubeflow Pipelines UI, defaults to notebook name
:param dict parameters: optional run parameters, may be required based on pipeline definition
:return: ApiRunCodeResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id', 'run_name', 'parameters'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method run_notebook" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `run_notebook`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
if 'run_name' in params:
query_params.append(('run_name', params['run_name'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'parameters' in params:
body_params = params['parameters']
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/{id}/run', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ApiRunCodeResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def set_featured_notebooks(self, notebook_ids, **kwargs): # noqa: E501
"""set_featured_notebooks # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_featured_notebooks(notebook_ids, async_req=True)
>>> result = thread.get()
:param async_req bool
:param list[str] notebook_ids: Array of notebook IDs to be featured. (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.set_featured_notebooks_with_http_info(notebook_ids, **kwargs) # noqa: E501
else:
(data) = self.set_featured_notebooks_with_http_info(notebook_ids, **kwargs) # noqa: E501
return data
def set_featured_notebooks_with_http_info(self, notebook_ids, **kwargs): # noqa: E501
"""set_featured_notebooks # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_featured_notebooks_with_http_info(notebook_ids, async_req=True)
>>> result = thread.get()
:param async_req bool
:param list[str] notebook_ids: Array of notebook IDs to be featured. (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['notebook_ids'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method set_featured_notebooks" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'notebook_ids' is set
if ('notebook_ids' not in params or
params['notebook_ids'] is None):
raise ValueError("Missing the required parameter `notebook_ids` when calling `set_featured_notebooks`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'notebook_ids' in params:
body_params = params['notebook_ids']
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/featured', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def upload_notebook(self, uploadfile, **kwargs): # noqa: E501
"""upload_notebook # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.upload_notebook(uploadfile, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file uploadfile: The notebook metadata YAML file to upload. Can be a GZip-compressed TAR file (.tgz, .tar.gz) or a YAML file (.yaml, .yml). Maximum size is 32MB. (required)
:param str name:
:param str enterprise_github_token: Optional GitHub API token providing read-access to notebooks stored on Enterprise GitHub accounts.
:return: ApiNotebook
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.upload_notebook_with_http_info(uploadfile, **kwargs) # noqa: E501
else:
(data) = self.upload_notebook_with_http_info(uploadfile, **kwargs) # noqa: E501
return data
def upload_notebook_with_http_info(self, uploadfile, **kwargs): # noqa: E501
"""upload_notebook # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.upload_notebook_with_http_info(uploadfile, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file uploadfile: The notebook metadata YAML file to upload. Can be a GZip-compressed TAR file (.tgz, .tar.gz) or a YAML file (.yaml, .yml). Maximum size is 32MB. (required)
:param str name:
:param str enterprise_github_token: Optional GitHub API token providing read-access to notebooks stored on Enterprise GitHub accounts.
:return: ApiNotebook
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['uploadfile', 'name', 'enterprise_github_token'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method upload_notebook" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'uploadfile' is set
if ('uploadfile' not in params or
params['uploadfile'] is None):
raise ValueError("Missing the required parameter `uploadfile` when calling `upload_notebook`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'name' in params:
query_params.append(('name', params['name'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
if 'uploadfile' in params:
local_var_files['uploadfile'] = params['uploadfile'] # noqa: E501
if 'enterprise_github_token' in params:
form_params.append(('enterprise_github_token', params['enterprise_github_token'])) # noqa: E501
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/upload', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ApiNotebook', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def upload_notebook_file(self, id, uploadfile, **kwargs): # noqa: E501
"""upload_notebook_file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.upload_notebook_file(id, uploadfile, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: The id of the notebook. (required)
:param file uploadfile: The file to upload, overwriting existing. Can be a GZip-compressed TAR file (.tgz), a YAML file (.yaml), Python script (.py), or Markdown file (.md) (required)
:return: ApiNotebook
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.upload_notebook_file_with_http_info(id, uploadfile, **kwargs) # noqa: E501
else:
(data) = self.upload_notebook_file_with_http_info(id, uploadfile, **kwargs) # noqa: E501
return data
def upload_notebook_file_with_http_info(self, id, uploadfile, **kwargs): # noqa: E501
"""upload_notebook_file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.upload_notebook_file_with_http_info(id, uploadfile, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: The id of the notebook. (required)
:param file uploadfile: The file to upload, overwriting existing. Can be a GZip-compressed TAR file (.tgz), a YAML file (.yaml), Python script (.py), or Markdown file (.md) (required)
:return: ApiNotebook
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id', 'uploadfile'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method upload_notebook_file" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `upload_notebook_file`") # noqa: E501
# verify the required parameter 'uploadfile' is set
if ('uploadfile' not in params or
params['uploadfile'] is None):
raise ValueError("Missing the required parameter `uploadfile` when calling `upload_notebook_file`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
if 'uploadfile' in params:
local_var_files['uploadfile'] = params['uploadfile'] # noqa: E501
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/{id}/upload', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ApiNotebook', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def upload_notebook_from_url(self, url, **kwargs): # noqa: E501
"""upload_notebook_from_url # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.upload_notebook_from_url(url, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str url: URL pointing to the notebook YAML file. (required)
:param str name: Optional, the name of the notebook to be created overriding the name in the YAML file.
:param str access_token: Optional, the Bearer token to access the 'url'.
:return: ApiNotebook
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.upload_notebook_from_url_with_http_info(url, **kwargs) # noqa: E501
else:
(data) = self.upload_notebook_from_url_with_http_info(url, **kwargs) # noqa: E501
return data
def upload_notebook_from_url_with_http_info(self, url, **kwargs): # noqa: E501
"""upload_notebook_from_url # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.upload_notebook_from_url_with_http_info(url, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str url: URL pointing to the notebook YAML file. (required)
:param str name: Optional, the name of the notebook to be created overriding the name in the YAML file.
:param str access_token: Optional, the Bearer token to access the 'url'.
:return: ApiNotebook
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['url', 'name', 'access_token'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method upload_notebook_from_url" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'url' is set
if ('url' not in params or
params['url'] is None):
raise ValueError("Missing the required parameter `url` when calling `upload_notebook_from_url`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'name' in params:
query_params.append(('name', params['name'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
if 'url' in params:
form_params.append(('url', params['url'])) # noqa: E501
if 'access_token' in params:
form_params.append(('access_token', params['access_token'])) # noqa: E501
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/notebooks/upload_from_url', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ApiNotebook', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 39.309693
| 191
| 0.607489
| 5,739
| 49,884
| 5.032236
| 0.043562
| 0.045152
| 0.025208
| 0.03241
| 0.951177
| 0.936357
| 0.923823
| 0.917105
| 0.909245
| 0.901489
| 0
| 0.014626
| 0.302361
| 49,884
| 1,268
| 192
| 39.340694
| 0.815235
| 0.334897
| 0
| 0.779856
| 0
| 0
| 0.180046
| 0.052556
| 0
| 0
| 0
| 0
| 0
| 1
| 0.038849
| false
| 0
| 0.005755
| 0
| 0.102158
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b86e7498e897cd4d622080087bb2d72520402bd4
| 3,993
|
py
|
Python
|
src/python/test/test_rips_complex.py
|
m0baxter/gudhi-devel
|
6e14ef1f31e09f3875316440303450ff870d9881
|
[
"MIT"
] | null | null | null |
src/python/test/test_rips_complex.py
|
m0baxter/gudhi-devel
|
6e14ef1f31e09f3875316440303450ff870d9881
|
[
"MIT"
] | 1
|
2020-05-24T14:34:45.000Z
|
2020-05-24T14:34:45.000Z
|
src/python/test/test_rips_complex.py
|
m0baxter/gudhi-devel
|
6e14ef1f31e09f3875316440303450ff870d9881
|
[
"MIT"
] | 1
|
2020-04-06T07:16:17.000Z
|
2020-04-06T07:16:17.000Z
|
""" This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
Author(s): Vincent Rouvreau
Copyright (C) 2016 Inria
Modification(s):
- YYYY/MM Author: Description of the modification
"""
from gudhi import RipsComplex
from math import sqrt
__author__ = "Vincent Rouvreau"
__copyright__ = "Copyright (C) 2016 Inria"
__license__ = "MIT"
def test_empty_rips():
rips_complex = RipsComplex()
def test_rips_from_points():
point_list = [[0, 0], [1, 0], [0, 1], [1, 1]]
rips_complex = RipsComplex(points=point_list, max_edge_length=42)
simplex_tree = rips_complex.create_simplex_tree(max_dimension=1)
assert simplex_tree.__is_defined() == True
assert simplex_tree.__is_persistence_defined() == False
assert simplex_tree.num_simplices() == 10
assert simplex_tree.num_vertices() == 4
assert list(simplex_tree.get_filtration()) == [
([0], 0.0),
([1], 0.0),
([2], 0.0),
([3], 0.0),
([0, 1], 1.0),
([0, 2], 1.0),
([1, 3], 1.0),
([2, 3], 1.0),
([1, 2], 1.4142135623730951),
([0, 3], 1.4142135623730951),
]
assert simplex_tree.get_star([0]) == [
([0], 0.0),
([0, 1], 1.0),
([0, 2], 1.0),
([0, 3], 1.4142135623730951),
]
assert simplex_tree.get_cofaces([0], 1) == [
([0, 1], 1.0),
([0, 2], 1.0),
([0, 3], 1.4142135623730951),
]
def test_filtered_rips_from_points():
point_list = [[0, 0], [1, 0], [0, 1], [1, 1]]
filtered_rips = RipsComplex(points=point_list, max_edge_length=1.0)
simplex_tree = filtered_rips.create_simplex_tree(max_dimension=1)
assert simplex_tree.__is_defined() == True
assert simplex_tree.__is_persistence_defined() == False
assert simplex_tree.num_simplices() == 8
assert simplex_tree.num_vertices() == 4
def test_sparse_filtered_rips_from_points():
point_list = [[0, 0], [1, 0], [0, 1], [1, 1]]
filtered_rips = RipsComplex(points=point_list, max_edge_length=1.0, sparse=0.001)
simplex_tree = filtered_rips.create_simplex_tree(max_dimension=1)
assert simplex_tree.__is_defined() == True
assert simplex_tree.__is_persistence_defined() == False
assert simplex_tree.num_simplices() == 8
assert simplex_tree.num_vertices() == 4
def test_rips_from_distance_matrix():
distance_matrix = [[0], [1, 0], [1, sqrt(2), 0], [sqrt(2), 1, 1, 0]]
rips_complex = RipsComplex(distance_matrix=distance_matrix, max_edge_length=42)
simplex_tree = rips_complex.create_simplex_tree(max_dimension=1)
assert simplex_tree.__is_defined() == True
assert simplex_tree.__is_persistence_defined() == False
assert simplex_tree.num_simplices() == 10
assert simplex_tree.num_vertices() == 4
assert list(simplex_tree.get_filtration()) == [
([0], 0.0),
([1], 0.0),
([2], 0.0),
([3], 0.0),
([0, 1], 1.0),
([0, 2], 1.0),
([1, 3], 1.0),
([2, 3], 1.0),
([1, 2], 1.4142135623730951),
([0, 3], 1.4142135623730951),
]
assert simplex_tree.get_star([0]) == [
([0], 0.0),
([0, 1], 1.0),
([0, 2], 1.0),
([0, 3], 1.4142135623730951),
]
assert simplex_tree.get_cofaces([0], 1) == [
([0, 1], 1.0),
([0, 2], 1.0),
([0, 3], 1.4142135623730951),
]
def test_filtered_rips_from_distance_matrix():
distance_matrix = [[0], [1, 0], [1, sqrt(2), 0], [sqrt(2), 1, 1, 0]]
filtered_rips = RipsComplex(distance_matrix=distance_matrix, max_edge_length=1.0)
simplex_tree = filtered_rips.create_simplex_tree(max_dimension=1)
assert simplex_tree.__is_defined() == True
assert simplex_tree.__is_persistence_defined() == False
assert simplex_tree.num_simplices() == 8
assert simplex_tree.num_vertices() == 4
| 29.360294
| 99
| 0.612322
| 560
| 3,993
| 4.071429
| 0.144643
| 0.031579
| 0.178947
| 0.083333
| 0.811404
| 0.811404
| 0.811404
| 0.8
| 0.765789
| 0.765789
| 0
| 0.108344
| 0.225645
| 3,993
| 135
| 100
| 29.577778
| 0.629043
| 0.077886
| 0
| 0.752688
| 0
| 0
| 0.011768
| 0
| 0
| 0
| 0
| 0
| 0.27957
| 1
| 0.064516
| false
| 0
| 0.021505
| 0
| 0.086022
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b28946da52ff3d230675b0b9e54d7323f9a8219d
| 4,612
|
py
|
Python
|
MapReduce2/mapper2.py
|
ellstock/Database-Management-Project-Big-Matrix-Multiplication
|
b235f03ebd2cdebdabedb8c32d6d8f1750a4e922
|
[
"MIT"
] | null | null | null |
MapReduce2/mapper2.py
|
ellstock/Database-Management-Project-Big-Matrix-Multiplication
|
b235f03ebd2cdebdabedb8c32d6d8f1750a4e922
|
[
"MIT"
] | null | null | null |
MapReduce2/mapper2.py
|
ellstock/Database-Management-Project-Big-Matrix-Multiplication
|
b235f03ebd2cdebdabedb8c32d6d8f1750a4e922
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
import sys
##get the size of the matrices from a size file:
#info = open("matrix_size.txt").readlines()
#for info_line in info:
# info_line = info_line.strip()
# matrix,i,j = info_line.split(",")
# if matrix == "A":
# #error prone type conversion
# try:
# A_i = int(i)
# A_j = int(j)
# except ValueError:
# continue
# else:
# try:
# B_i = int(i)
# B_j = int(j)
# except ValueError:
# continue
#initialize row and column vector:
m = int(3)
p = int(3)
n = int(3)
# A (n x p) ; B (p x m)
ind_list=[]
val_list=[]
mat_list=[]
prev_key_index= None
for line in sys.stdin:
#strip and get the values in each line (i.e. the key, the index and the value)
line = line.strip()
key_index, matrix, ind, v = line.split("\t")
#error-prone type conversion to integer:
try:
key_index = int(key_index)
ind = int(ind)
v = int(v)
except ValueError:
continue
if (key_index != prev_key_index) & (prev_key_index!=None):
for l in range(len(mat_list)):
if mat_list[l] == "A":
for a in range(1,n+1):
key = str(ind_list[l]) + "," + str(a)
print "%s\t%s\t%s"%(str(prev_key_index),key,str(val_list[l]))
#we use tab to get rid of the problem of negative number
else:
for a in range(1,p+1):
key = str(a) + "," + str(ind_list[l])
print "%s\t%s\t%s"%(str(prev_key_index),key,str(val_list[l]))
#initialize row and column vector:
ind_list=[]
val_list=[]
mat_list=[]
ind_list.append(ind)
val_list.append(v)
mat_list.append(matrix)
prev_key_index = key_index
for l in range(len(mat_list)):
if mat_list[l] == "A":
for a in range(1,n+1):
key = str(ind_list[l]) + "," + str(a)
print "%s\t%s\t%s"%(str(prev_key_index),key,str(val_list[l]))
#we use tab to get rid of the problem of negative number
else:
for a in range(1,p+1):
key = str(a) + "," + str(ind_list[l])
print "%s\t%s\t%s"%(str(prev_key_index),key,str(val_list[l]))
##!/usr/bin/python
#
#import sys
#
###get the size of the matrices from a size file:
##info = open("matrix_size.txt").readlines()
##for info_line in info:
## info_line = info_line.strip()
## matrix,i,j = info_line.split(",")
## if matrix == "A":
## #error prone type conversion
## try:
## A_i = int(i)
## A_j = int(j)
## except ValueError:
## continue
## else:
## try:
## B_i = int(i)
## B_j = int(j)
## except ValueError:
## continue
#
##initialize row and column vector:
#m = int(2)
#p = int(2)
#n = int(2)
#
## A (n x p) ; B (p x m)
#
#ind_list=[]
#val_list=[]
#mat_list=[]
#
#prev_key_index= None
#
#for line in sys.stdin:
# #strip and get the values in each line (i.e. the key, the index and the value)
# line = line.strip()
# key_index, matrix, ind, v = line.split("\t")
# #error-prone type conversion to integer:
# try:
# key_index = int(key_index)
# ind = int(ind)
# v = int(v)
# except ValueError:
# continue
#
# if (key_index != prev_key_index) & (prev_key_index!=None):
# for l in range(len(mat_list)):
# if mat_list[l] == "A":
# for a in range(1,n+1):
# key = str(ind_list[l]) + "," + str(a)
# print "%s\t%s\t%s"%(key,str(prev_key_index),str(val_list[l]))
# #we use tab to get rid of the problem of negative number
# else:
# for a in range(1,p+1):
# key = str(a) + "," + str(ind_list[l])
# print "%s\t%s\t%s"%(key,str(prev_key_index),str(val_list[l]))
##initialize row and column vector:
#ind_list=[]
# val_list=[]
# mat_list=[]
#
# ind_list.append(ind)
# val_list.append(v)
# mat_list.append(matrix)
# prev_key_index = key_index
#
#for l in range(len(mat_list)):
# if mat_list[l] == "A":
# for a in range(1,n+1):
# key = str(ind_list[l]) + "," + str(a)
# print "%s\t%s\t%s"%(key,str(prev_key_index),str(val_list[l]))
# #we use tab to get rid of the problem of negative number
#else:
# for a in range(1,p+1):
# key = str(a) + "," + str(ind_list[l])
# print "%s\t%s\t%s"%(key,str(prev_key_index),str(val_list[l]))
| 28.825
| 83
| 0.523851
| 718
| 4,612
| 3.222841
| 0.111421
| 0.089888
| 0.082973
| 0.038029
| 0.990493
| 0.990493
| 0.990493
| 0.990493
| 0.990493
| 0.990493
| 0
| 0.00696
| 0.314614
| 4,612
| 159
| 84
| 29.006289
| 0.725087
| 0.632264
| 0
| 0.55814
| 0
| 0
| 0.03075
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.023256
| null | null | 0.093023
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a26639ba52c14546cf1e2bc70cf65a3fdec0eb0a
| 468
|
py
|
Python
|
tomon_sdk/utils/observable.py
|
tomon-world/tomon-sdk-py
|
d38e109800867a50d4f23f127cb75e0923c24f72
|
[
"MIT"
] | 6
|
2020-08-16T08:58:50.000Z
|
2020-08-27T06:21:39.000Z
|
tomon_sdk/utils/observable.py
|
tomon-world/tomon-sdk-py
|
d38e109800867a50d4f23f127cb75e0923c24f72
|
[
"MIT"
] | null | null | null |
tomon_sdk/utils/observable.py
|
tomon-world/tomon-sdk-py
|
d38e109800867a50d4f23f127cb75e0923c24f72
|
[
"MIT"
] | null | null | null |
from node_events import EventEmitter
class Observable:
emitter = EventEmitter()
def __init__(self):
pass
def on(self, event, listener):
return self.emitter.on(event, listener)
def off(self, event, listener):
return self.emitter.off(event, listener)
def once(self, event, listener):
return self.emitter.once(event, listener)
def emit(self, event, *args):
return self.emitter.emit(event, *args)
| 22.285714
| 49
| 0.649573
| 57
| 468
| 5.245614
| 0.350877
| 0.26087
| 0.227425
| 0.230769
| 0.341137
| 0.341137
| 0
| 0
| 0
| 0
| 0
| 0
| 0.245727
| 468
| 20
| 50
| 23.4
| 0.847026
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.384615
| false
| 0.076923
| 0.076923
| 0.307692
| 0.923077
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 7
|
a2bc0b87853f02baefe33696bc9e70b11a0bf00e
| 6,815
|
py
|
Python
|
Convert-Images_Into_Array/images_into_array.py
|
sujitmandal/Machine-Learning
|
d4bf364d50781836ad25120fbbb7df6ed784656c
|
[
"MIT"
] | 3
|
2021-11-26T10:44:29.000Z
|
2022-01-09T13:20:43.000Z
|
Convert-Images_Into_Array/images_into_array.py
|
sujitmandal/Machine-Learning
|
d4bf364d50781836ad25120fbbb7df6ed784656c
|
[
"MIT"
] | null | null | null |
Convert-Images_Into_Array/images_into_array.py
|
sujitmandal/Machine-Learning
|
d4bf364d50781836ad25120fbbb7df6ed784656c
|
[
"MIT"
] | null | null | null |
import os
import cv2
import numpy as np
from tqdm import tqdm
from random import shuffle
#Github: https://github.com/sujitmandal
#This programe is create by Sujit Mandal
"""
Github: https://github.com/sujitmandal
This programe is create by Sujit Mandal
LinkedIn : https://www.linkedin.com/in/sujit-mandal-91215013a/
Facebook : https://www.facebook.com/sujit.mandal.33671748
Twitter : https://twitter.com/mandalsujit37
"""
#Document : https://docs.opencv.org/3.4/de/d25/imgproc_color_conversions.html
#images_path = input('Enter Image Folder Path : ') #Path of the images folder
#image_height = int(input('Enter The Image Size [32, 64, 128] : '))
#image_width = int(input('Enter The Image Size [32, 64, 128] : '))
images_path = ('') #Path of the images folder
image_height = 32 #[32, 64, 128]
image_width = 32 #[32, 64, 128]
#NORNAL
def images(images_path, image_height, image_width):
imges_list = []
for image in tqdm(os.listdir(images_path)):
path = os.path.join(images_path, image)
image = cv2.imread(path)
image = cv2.resize(image , (image_height, image_width))
imges_list.append([np.array(image)])
shuffle(imges_list)
#Convert List Into Array
array_image = np.array(imges_list)
#Removed Dimention
images = array_image[:,0,:,:]
return(images)
#RGB ↔ GRAY
def rgb_gray(images_path, image_height, image_width):
imges_list = []
for image in tqdm(os.listdir(images_path)):
path = os.path.join(images_path, image)
image = cv2.imread(path)
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
image = cv2.resize(image , (image_height, image_width))
imges_list.append([np.array(image)])
shuffle(imges_list)
#Convert List Into Array
array_image = np.array(imges_list)
#Removed Dimention
images = array_image[:,0,:,:]
return(images)
#RGB ↔ CIE L*a*b*
def rgb_lab(images_path, image_height, image_width):
imges_list = []
for image in tqdm(os.listdir(images_path)):
path = os.path.join(images_path, image)
image = cv2.imread(path)
image = cv2.cvtColor(image, cv2.COLOR_BGR2Lab)
image = cv2.resize(image , (image_height, image_width))
imges_list.append([np.array(image)])
shuffle(imges_list)
#Convert List Into Array
array_image = np.array(imges_list)
#Removed Dimention
images = array_image[:,0,:,:]
return(images)
#RGB ↔ HSV
def rgb_hsv(images_path, image_height, image_width):
imges_list = []
for image in tqdm(os.listdir(images_path)):
path = os.path.join(images_path, image)
image = cv2.imread(path)
image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
image = cv2.resize(image , (image_height, image_width))
imges_list.append([np.array(image)])
shuffle(imges_list)
#Convert List Into Array
array_image = np.array(imges_list)
#Removed Dimention
images = array_image[:,0,:,:]
return(images)
#RGB ↔ YCrCb JPEG (or YCC)
def rgb_ycrcb(images_path, image_height, image_width):
imges_list = []
for image in tqdm(os.listdir(images_path)):
path = os.path.join(images_path, image)
image = cv2.imread(path)
image = cv2.cvtColor(image, cv2.COLOR_BGR2YCrCb)
image = cv2.resize(image , (image_height, image_width))
imges_list.append([np.array(image)])
shuffle(imges_list)
#Convert List Into Array
array_image = np.array(imges_list)
#Removed Dimention
images = array_image[:,0,:,:]
return(images)
#RGB ↔ HLS
def rgb_hls(images_path, image_height, image_width):
imges_list = []
for image in tqdm(os.listdir(images_path)):
path = os.path.join(images_path, image)
image = cv2.imread(path)
image = cv2.cvtColor(image, cv2.COLOR_BGR2HLS)
image = cv2.resize(image , (image_height, image_width))
imges_list.append([np.array(image)])
shuffle(imges_list)
#Convert List Into Array
array_image = np.array(imges_list)
#Removed Dimention
images = array_image[:,0,:,:]
return(images)
#RGB ↔ CIE L*u*v*
def rgb_luv(images_path, image_height, image_width):
imges_list = []
for image in tqdm(os.listdir(images_path)):
path = os.path.join(images_path, image)
image = cv2.imread(path)
image = cv2.cvtColor(image, cv2.COLOR_BGR2Luv)
image = cv2.resize(image , (image_height, image_width))
imges_list.append([np.array(image)])
shuffle(imges_list)
#Convert List Into Array
array_image = np.array(imges_list)
#Removed Dimention
images = array_image[:,0,:,:]
return(images)
if __name__ == "__main__":
images(images_path, image_height, image_width)
rgb_gray(images_path, image_height, image_width)
rgb_lab(images_path, image_height, image_width)
rgb_hsv(images_path, image_height, image_width)
rgb_ycrcb(images_path, image_height, image_width)
rgb_hls(images_path, image_height, image_width)
rgb_luv(images_path, image_height, image_width)
#OUTPUT :
'''
Enter Image Folder Path : /media/sujit/92EC423BEC4219BD/GitHub Preoject/ALL ML PROJECT/Face Mask Detection/face mask detection dataset/test/without mask
Enter The Image Size [32, 64, 128] : 32
Enter The Image Size [32, 64, 128] : 32
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 186/186 [00:00<00:00, 324.93it/s]
(186, 32, 32, 3)
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 186/186 [00:00<00:00, 277.42it/s]
(186, 32, 32)
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 186/186 [00:01<00:00, 112.84it/s]
(186, 32, 32, 3)
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 186/186 [00:00<00:00, 280.89it/s]
(186, 32, 32, 3)
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 186/186 [00:00<00:00, 284.85it/s]
(186, 32, 32, 3)
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 186/186 [00:01<00:00, 157.17it/s]
(186, 32, 32, 3)
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 186/186 [00:01<00:00, 181.75it/s]
(186, 32, 32, 3)
'''
| 34.075
| 197
| 0.563316
| 853
| 6,815
| 5.624853
| 0.15592
| 0.062526
| 0.065652
| 0.091913
| 0.872864
| 0.865361
| 0.864944
| 0.855982
| 0.702584
| 0.689246
| 0
| 0.057915
| 0.163903
| 6,815
| 200
| 198
| 34.075
| 0.590207
| 0.116948
| 0
| 0.707071
| 0
| 0
| 0.002004
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.070707
| false
| 0
| 0.050505
| 0
| 0.121212
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
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| 1
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a2bce8d02fc1feec3e947e71a8c64f3c998e11ad
| 5,548
|
py
|
Python
|
misc/old_data_to_text_files.py
|
scottsha/compute-n-loop
|
8a810751bf14eb7e5ca58325ac9e724c604c455c
|
[
"MIT"
] | null | null | null |
misc/old_data_to_text_files.py
|
scottsha/compute-n-loop
|
8a810751bf14eb7e5ca58325ac9e724c604c455c
|
[
"MIT"
] | null | null | null |
misc/old_data_to_text_files.py
|
scottsha/compute-n-loop
|
8a810751bf14eb7e5ca58325ac9e724c604c455c
|
[
"MIT"
] | null | null | null |
from sage.all_cmdline import *
#K2
for m in range(1,2):
name = 'K2_%d' %m
nz = load('../results/' + name + '_invariants.sobj')
numfield = nz[1][5]
shapes = nz[1][6]
A = nz[1][0]
B = nz[1][1]
nu = nz[1][2]
f = nz[1][3]
fp = nz[1][4]
oneloop = nz[0][0]
twoloop = nz[0][1]
threeloop = nz[0][2]
fourloop = nz[0][3]
fiveloop = nz[0][4]
textfile = open('../results/Text/' + name + '.txt','w')
print('#Manifold'+name, file=textfile)
print('#Number Field', file=textfile)
print('%s \n' %str(numfield), file=textfile)
print('#Shape Parameters', file=textfile)
for shape in shapes:
print('%s' %str(shape), file=textfile)
print(file=textfile)
print('#A Gluing Matrix', file=textfile)
print(A, file=textfile)
print(file=textfile)
print('#B Gluing Matrix', file=textfile)
print(B, file=textfile)
print(file=textfile)
print('#nu Gluing Vector', file=textfile)
print(nu.column(), file=textfile)
print(file=textfile)
print('#f Combinatorial flattening', file=textfile)
print(nu.column(), file=textfile)
print(file=textfile)
print('#f\' Combinatorial flattening', file=textfile)
print(nu.column(), file=textfile)
print(file=textfile)
print('#One Loop Invariant', file=textfile)
print(oneloop, file=textfile)
print(file=textfile)
print('#Two Loop Invariant', file=textfile)
print(twoloop, file=textfile)
print(file=textfile)
print('#Three Loop Invariant', file=textfile)
print(threeloop, file=textfile)
print(file=textfile)
print('#Four Loop Invariant', file=textfile)
print(fourloop, file=textfile)
print(file=textfile)
print('#Five Loop Invariant', file=textfile)
print(fiveloop, file=textfile)
textfile.close()
#K3
for m in range(1,3):
name = 'K3_%d' %m
nz = load('../results/' + name + '_invariants.sobj')
numfield = nz[1][5]
shapes = nz[1][6]
A = nz[1][0]
B = nz[1][1]
nu = nz[1][2]
f = nz[1][3]
fp = nz[1][4]
oneloop = nz[0][0]
twoloop = nz[0][1]
threeloop = nz[0][2]
fourloop = nz[0][3]
fiveloop = nz[0][4]
textfile = open('../results/Text/' + name + '.txt','w')
#Write the textfile here using however formatting you wish
#Note that nu, f, and fp should be transposed. idk how you want to handle that. I'd just ignore it?
#Also note that shapes is a list and you might wish to print them all out one by one. there is one shape per tetra. so any loop will have to be that long
textfile.close()
#K4
for m in range(1,5):
name = 'K4_%d' %m
nz = load('../results/' + name + '_invariants.sobj')
numfield = nz[1][5]
shapes = nz[1][6]
A = nz[1][0]
B = nz[1][1]
nu = nz[1][2]
f = nz[1][3]
fp = nz[1][4]
oneloop = nz[0][0]
twoloop = nz[0][1]
threeloop = nz[0][2]
fourloop = nz[0][3]
fiveloop = nz[0][4]
textfile = open('../results/Text/' + name + '.txt','w')
#Write the textfile here using however formatting you wish
#Note that nu, f, and fp should be transposed. idk how you want to handle that. I'd just ignore it?
#Also note that shapes is a list and you might wish to print them all out one by one. there is one shape per tetra. so any loop will have to be that long
textfile.close()
#K5
for m in range(1,23):
name = 'K5_%d' %m
nz = load('../results/' + name + '_invariants.sobj')
numfield = nz[1][5]
shapes = nz[1][6]
A = nz[1][0]
B = nz[1][1]
nu = nz[1][2]
f = nz[1][3]
fp = nz[1][4]
oneloop = nz[0][0]
twoloop = nz[0][1]
threeloop = nz[0][2]
fourloop = nz[0][3]
fiveloop = nz[0][4]
textfile = open('../results/Text/' + name + '.txt','w')
#Write the textfile here using however formatting you wish
#Note that nu, f, and fp should be transposed. idk how you want to handle that. I'd just ignore it?
#Also note that shapes is a list and you might wish to print them all out one by one. there is one shape per tetra. so any loop will have to be that long
textfile.close()
#K6
for m in range(1,44):
name = 'K7_%d' %m
nz = load('../results/' + name + '_invariants.sobj')
numfield = nz[1][5]
shapes = nz[1][6]
A = nz[1][0]
B = nz[1][1]
nu = nz[1][2]
f = nz[1][3]
fp = nz[1][4]
oneloop = nz[0][0]
twoloop = nz[0][1]
threeloop = nz[0][2]
textfile = open('../results/Text/' + name + '.txt','w')
#Write the textfile here using however formatting you wish
#Note that nu, f, and fp should be transposed. idk how you want to handle that. I'd just ignore it?
#Also note that shapes is a list and you might wish to print them all out one by one. there is one shape per tetra. so any loop will have to be that long
textfile.close()
#K7
for m in range(1,130):
name = 'K7_%d' %m
nz = load('../results/' + name + '_invariants.sobj')
numfield = nz[1][5]
shapes = nz[1][6]
A = nz[1][0]
B = nz[1][1]
nu = nz[1][2]
f = nz[1][3]
fp = nz[1][4]
oneloop = nz[0][0]
twoloop = nz[0][1]
threeloop = nz[0][2]
textfile = open('../results/Text/' + name + '.txt','w')
#Write the textfile here using however formatting you wish
#Note that nu, f, and fp should be transposed. idk how you want to handle that. I'd just ignore it?
#Also note that shapes is a list and you might wish to print them all out one by one. there is one shape per tetra. so any loop will have to be that long
textfile.close()
| 31.702857
| 157
| 0.600577
| 918
| 5,548
| 3.615468
| 0.120915
| 0.037963
| 0.169027
| 0.063272
| 0.903585
| 0.819223
| 0.747514
| 0.747514
| 0.747514
| 0.747514
| 0
| 0.039103
| 0.244052
| 5,548
| 174
| 158
| 31.885057
| 0.752265
| 0.278839
| 0
| 0.748148
| 0
| 0
| 0.136181
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.007407
| 0
| 0.007407
| 0.259259
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a2f1ea46acabeb7373ea9755cb590d956b90b1e6
| 44
|
py
|
Python
|
parameters_443.py
|
varshit97/placement-website
|
ba25b174d1ae8d6fb1cbd8099f9d7b31d9091d80
|
[
"BSD-3-Clause"
] | null | null | null |
parameters_443.py
|
varshit97/placement-website
|
ba25b174d1ae8d6fb1cbd8099f9d7b31d9091d80
|
[
"BSD-3-Clause"
] | null | null | null |
parameters_443.py
|
varshit97/placement-website
|
ba25b174d1ae8d6fb1cbd8099f9d7b31d9091d80
|
[
"BSD-3-Clause"
] | null | null | null |
password="89acf4d9ddfadf4e24e3432fa5f8d718"
| 22
| 43
| 0.909091
| 2
| 44
| 20
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.372093
| 0.022727
| 44
| 1
| 44
| 44
| 0.55814
| 0
| 0
| 0
| 0
| 0
| 0.727273
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 8
|
a2fc49bf73bafb1cc35ade3889710177f15d8474
| 3,586
|
py
|
Python
|
sing_test.py
|
vishalbpatil1/sing_test_statistics_python
|
b32d3176d47769e71bec277f758799c033da87a4
|
[
"MIT"
] | null | null | null |
sing_test.py
|
vishalbpatil1/sing_test_statistics_python
|
b32d3176d47769e71bec277f758799c033da87a4
|
[
"MIT"
] | null | null | null |
sing_test.py
|
vishalbpatil1/sing_test_statistics_python
|
b32d3176d47769e71bec277f758799c033da87a4
|
[
"MIT"
] | null | null | null |
# non -parametric sign test for sinle samall sample
import numpy as np
import pandas as pd
from scipy.stats import binom
x=np.array([119,120,125,122,118,117,126,114,115,123,121,120,124,127,126])
M=120
differ=x-M # difference array
T1=sum(x>M) #No of positive sign
A=(x>M)
T2=sum(x<M) # No of negative sign
B=(x<M)
T=min(T1,T2) # No of fever sign
N=T1+T2
P=binom.cdf(T,N,0.5)
D=pd.DataFrame({'Sample(x)':x,'Differnce':differ,'- sign':A,'+ sign':B})
print(D) # gives data frame
print('P_value=%.3f'%(P))
alpha= 0.05
print('Level_of_significance=%.3f'%(alpha))
if P>alpha:
print('Accept Ho at 5% level of significance')
print ('RESULT:-120 is population median of give sample x')
else:
print('reject Ho at 5% level of significance')
print ('RESULT:-120 is not population median of give sample x')
# non -parametric sign test for Two samall sample
x=np.array([70,69,72,74,66,68,69,70,71,69,73,72,68,72,67])
y=np.array([69,72,71,74,68,67,72,72,72,70,75,73,71,72,69])
d=x-y # difference array
T1=sum(d>0) #No of positive sign
A=(d>0)
T2=sum(d<0) # No of negative sign
B=(d<0)
T=min(T1,T2) # No of fever sign
N=T1+T2
P=binom.cdf(T,N,0.5)
D=pd.DataFrame({'Sample1(x)':x,'Sample2(y)':y,'Differnce':d,'- sign':A,'+ sign':B})
print(D) # gives data frame
print('p_value=%.3f'%(P))
alpha= 0.05
print('Level_of_significance=%.3f'%(alpha))
if P>alpha:
print('Accept Ho at 5% level of significance')
print ('RESULT:-Population median of both sample are same')
else:
print('reject Ho at 5% level of significance')
print ('RESULT:-Population median of both sample are different')
# non -parametric sign test for sinle large sample n>20
x=np.array([119,120,125,122,118,117,126,114,115,123,121,120,124,127,126])
M=120
differ=x-M # difference array
T1=sum(x>M) #No of positive sign
A=(x>M)
T2=sum(x<M) # No of negative sign
B=(x<M)
T=min(T1,T2) # No of fever sign
N=len(x)
mu=N/2
sigma=np.sqrt(N/4)
calZ=np.abs((T-mu)/sigma)
D=pd.DataFrame({'Sample(x)':x,'Differnce':differ,'- sign':A,'+ sign':B})
print(D) # gives data frame
print('Calulated value of Z=%.3f'%(calZ))
tabZ= 1.96
print('Tabulated value of Z=%.3f'%(tabZ))
if calZ<tabZ:
print('Accept Ho at 5% level of significance')
print ('RESULT:-120 is population median of give sample x')
else:
print('reject Ho at 5% level of significance')
print ('RESULT:-120 is not population median of give sample x')
# sign test for large paired sample
x=np.array([108,104,103,112,99,105,102,112,119,106,125,96,107,115,101,110,
103,105,124,113,111,100,122,124,104,97,112,109,119,101])
y=np.array([103,116,106,104,99,94,110,128,106,103,120,98,117,130,100,101,96,
99,120,116,100,101,108,118,95,100,105,103,99,95])
d=x-y # difference array
T1=sum(d>0) #No of positive sign
A=(d>0)
T2=sum(d<0) # No of negative sign
B=(d<0)
T=min(T1,T2) # No of fever sign
N=len(x)
mu=N/2
sigma=np.sqrt(N/4)
calZ=np.abs((T-mu)/sigma)
D=pd.DataFrame({'Sample1(x)':x,'Sample2(y)':y,'Differnce':d,'- sign':A,'+ sign':B})
print(D) # gives data frame
print('Calulated value of Z=%.3f'%(calZ))
tabZ= 1.96
print('Tabulated value of Z=%.3f'%(tabZ))
if calZ<tabZ:
print('Accept Ho at 5% level of significance')
print ('RESULT:-Population median of both sample are same')
else:
print('reject Ho at 5% level of significance')
print ('RESULT:-Population median of both sample are different.')
| 30.913793
| 84
| 0.638595
| 675
| 3,586
| 3.383704
| 0.2
| 0.021016
| 0.083187
| 0.035026
| 0.830998
| 0.82049
| 0.795096
| 0.795096
| 0.795096
| 0.795096
| 0
| 0.139288
| 0.185165
| 3,586
| 115
| 85
| 31.182609
| 0.642368
| 0.155605
| 0
| 0.860215
| 0
| 0
| 0.355656
| 0.018043
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.032258
| 0
| 0.032258
| 0.301075
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a73f77e8c9cc02d8d67353c274dfaef5081e7be0
| 20,548
|
py
|
Python
|
label_studio/tests/test_predictions.py
|
xhuaustc/label-studio
|
b787824a9e16f488a9b4cd2cef83e1ac526a64f3
|
[
"Apache-2.0"
] | 3
|
2021-07-16T03:48:21.000Z
|
2022-01-10T04:58:25.000Z
|
label_studio/tests/test_predictions.py
|
xhuaustc/label-studio
|
b787824a9e16f488a9b4cd2cef83e1ac526a64f3
|
[
"Apache-2.0"
] | 6
|
2022-02-21T15:19:35.000Z
|
2022-03-07T15:25:16.000Z
|
label_studio/tests/test_predictions.py
|
xhuaustc/label-studio
|
b787824a9e16f488a9b4cd2cef83e1ac526a64f3
|
[
"Apache-2.0"
] | 1
|
2021-08-18T15:07:47.000Z
|
2021-08-18T15:07:47.000Z
|
"""This file and its contents are licensed under the Apache License 2.0. Please see the included NOTICE for copyright information and LICENSE for a copy of the license.
"""
import pytest
import requests_mock
import json
from projects.models import Project
from ml.models import MLBackend
from tasks.models import Task, Prediction, Annotation
from .utils import make_project
from core.redis import redis_healthcheck
_project_for_text_choices_onto_A_B_classes = dict(
title='Test',
label_config='''
<View>
<Text name="meta_info" value="$meta_info"></Text>
<Text name="text" value="$text"></Text>
<Choices name="text_class" toName="text" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
)
_2_tasks_with_textA_and_textB = [
{'meta_info': 'meta info A', 'text': 'text A'},
{'meta_info': 'meta info B', 'text': 'text B'}
]
_2_prediction_results_for_textA_textB = [{
'result': [{'from_name': 'text_class', 'to_name': 'text', 'type': 'labels', 'value': {'labels': ['class_A'], 'start': 0, 'end': 1}}],
'score': 0.95
}, {
'result': [{'from_name': 'text_class', 'to_name': 'text', 'type': 'labels', 'value': {'labels': ['class_B'], 'start': 0, 'end': 1}}],
'score': 0.59
}]
def run_task_predictions(client, project, mocker):
class TestJob:
def __init__(self, job_id):
self.id = job_id
m = MLBackend.objects.filter(project=project.id).filter(url='http://localhost:8999').first()
return client.post(f'/api/ml/{m.id}/predict')
@pytest.mark.skipif(not redis_healthcheck(), reason='Starting predictions requires Redis server enabled')
@pytest.mark.parametrize(
'project_config, tasks, annotations, prediction_results, log_messages, model_version_in_request, use_ground_truth',
[(
# project config
_project_for_text_choices_onto_A_B_classes,
# tasks
_2_tasks_with_textA_and_textB,
# annotations
[
dict(
result=[{'from_name': 'text_class', 'to_name': 'text', 'type': 'labels', 'value': {'labels': ['class_A'], 'start': 0, 'end': 1}}],
ground_truth=True
),
dict(
result=[{'from_name': 'text_class', 'to_name': 'text', 'type': 'labels', 'value': {'labels': ['class_B'], 'start': 0, 'end': 1}}],
ground_truth=True
),
],
# prediction results
_2_prediction_results_for_textA_textB,
# log messages
None,
# model version in request
'12345',
False
), (
# project config
_project_for_text_choices_onto_A_B_classes,
# tasks
_2_tasks_with_textA_and_textB,
# annotations
[
dict(
result=[{'from_name': 'text_class', 'to_name': 'text', 'type': 'labels', 'value': {'labels': ['class_A'], 'start': 0, 'end': 1}}],
ground_truth=True
),
dict(
result=[{'from_name': 'text_class', 'to_name': 'text', 'type': 'labels', 'value': {'labels': ['class_B'], 'start': 0, 'end': 1}}],
ground_truth=True
),
],
# prediction results
_2_prediction_results_for_textA_textB,
# log messages
None,
# model version in request
'12345',
True
)])
@pytest.mark.django_db
def test_predictions(
business_client, project_config, tasks, annotations, prediction_results, log_messages, model_version_in_request,
use_ground_truth, mocker
):
# create project with predefined task set
project = make_project(project_config, business_client.user)
for task, annotation in zip(tasks, annotations):
t = Task.objects.create(data=task, project=project)
if use_ground_truth:
Annotation.objects.create(task=t, **annotation)
# run prediction
with requests_mock.Mocker() as m:
m.post(
'http://localhost:8999/setup',
text=json.dumps({'model_version': model_version_in_request})
)
m.post(
'http://localhost:8999/predict',
text=json.dumps({
'results': prediction_results[:1],
'model_version': model_version_in_request
})
)
r = run_task_predictions(business_client, project, mocker)
assert r.status_code == 200
assert m.called
# check whether stats are created
predictions = Prediction.objects.all()
project = Project.objects.get(id=project.id)
ml_backend = MLBackend.objects.get(url='http://localhost:8999')
assert predictions.count() == len(tasks)
for actual_prediction, expected_prediction_result in zip(predictions, prediction_results):
assert actual_prediction.result == prediction_results[0]['result']
assert actual_prediction.score == prediction_results[0]['score']
assert ml_backend.model_version == actual_prediction.model_version
@pytest.mark.skipif(not redis_healthcheck(), reason='Starting predictions requires Redis server enabled')
@pytest.mark.parametrize('test_name, project_config, setup_returns_model_version, tasks, annotations, '
'input_predictions, prediction_call_count, num_project_stats, num_ground_truth_in_stats, '
'num_ground_truth_fit_predictions', [
(
# test name just for reference
'All predictions are outdated, project.model_version is outdated too',
# project config: contains old model version
dict(
title='Test',
model_version='12345_old',
label_config='''
<View>
<Text name="txt" value="$text"></Text>
<Choices name="cls" toName="txt" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
),
# setup API returns this model version
'12345',
# task data
[
{'text': 'text A'},
{'text': 'text B'}
],
# annotations: there is no any annotations
[None, None],
# predictions: 2 predictions are from old model version
[{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}], 'score': 0.95,
'model_version': '12345_old'
}, {
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_B']}}], 'score': 0.59,
'model_version': '12345_old'
}],
# prediction call count is 2 for both tasks with old predictions
2,
# ground_truth stats
0, 0, 0
),
(
# test name just for reference
'All predictions are up-to-date',
# project config: contains actual model version
dict(
title='Test',
model_version='12345_old',
label_config='''
<View>
<Text name="txt" value="$text"></Text>
<Choices name="cls" toName="txt" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
),
# setup API returns this model version
'12345',
# task data
[
{'text': 'text A'},
{'text': 'text B'}
],
# annotations: there is no any annotations
[None, None],
# predictions: 2 predictions are from old model version
[{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}], 'score': 0.95,
'model_version': '12345'
}, {
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_B']}}], 'score': 0.59,
'model_version': '12345'
}],
# prediction call count is 0 since predictions are up to date
0,
# ground_truth stats
0, 0, 0
),
(
# test name just for reference
'Some predictions are outdated, other are up-to-date. project.model_version is up-to-date',
# project config: contains actual model version
dict(
title='Test',
model_version='12345',
label_config='''
<View>
<Text name="txt" value="$text"></Text>
<Choices name="cls" toName="txt" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
),
# setup API returns this model version
'12345',
# task data
[
{'text': 'text A'},
{'text': 'text B'}
],
# annotations: there is no any annotations
[None, None],
# predictions: 2 predictions, one from the new model version, second from old
[{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}], 'score': 0.95,
'model_version': '12345'
}, {
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_B']}}], 'score': 0.59,
'model_version': '12345_old'
}],
# prediction call count is 1 only for the task with old predictions
1,
# ground_truth stats
0, 0, 0
),
(
# test name just for reference
'Some predictions are outdated, other are up-to-date. project.model_version is outdated',
# project config: contains actual model version
dict(
title='Test',
model_version='12345_old',
label_config='''
<View>
<Text name="txt" value="$text"></Text>
<Choices name="cls" toName="txt" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
),
# setup API returns this model version
'12345',
# task data
[
{'text': 'text A'},
{'text': 'text B'}
],
# annotations: there is no any annotations
[None, None],
# predictions: 2 predictions, one from the new model version, second from old
[{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}], 'score': 0.95,
'model_version': '12345'
}, {
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_B']}}], 'score': 0.59,
'model_version': '12345_old'
}],
# prediction call count is 1 only for the task with old predictions
1,
# ground_truth stats
0, 0, 0
),
(
# test name just for reference
'All tasks has no predictions',
# project config: contains actual model version
dict(
title='Test',
model_version='12345',
label_config='''
<View>
<Text name="txt" value="$text"></Text>
<Choices name="cls" toName="txt" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
),
# setup API returns this model version
'12345',
# task data
[
{'text': 'text A'},
{'text': 'text B'}
],
# annotations: there is no any annotations
[None, None],
# there is no any predictions yet
[None, None],
# prediction call count for all tasks without predictions
2,
# ground_truth stats
0, 0, 0
),
(
# test name just for reference
'Some tasks has no predictions, others are up-to-date',
# project config: contains actual model version
dict(
title='Test',
model_version='12345',
label_config='''
<View>
<Text name="txt" value="$text"></Text>
<Choices name="cls" toName="txt" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
),
# setup API returns this model version
'12345',
# task data
[
{'text': 'text A'},
{'text': 'text B'}
],
# annotations: there is no any annotations
[None, None],
# there is only one prediction (since job has finished before processing all tasks)
[{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}], 'score': 0.95,
'model_version': '12345'
}, None],
# prediction call count for all tasks without predictions
1,
# ground_truth stats
0, 0, 0
),
(
# test name just for reference
'Some tasks has no predictions, others are up-to-date, labeled task contains ground_truth',
# project config: contains actual model version
dict(
title='Test',
model_version='12345',
label_config='''
<View>
<Text name="txt" value="$text"></Text>
<Choices name="cls" toName="txt" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
),
# setup API returns this model version
'12345',
# task data
[
{'text': 'text A'},
{'text': 'text B'}
],
# annotations: first task has fitted ground_truth
[None, {
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}],
'ground_truth': True
}],
# there is only one prediction (since job has finished before processing all tasks)
[{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}], 'score': 0.95,
'model_version': '12345'
}, None],
# prediction call count for all tasks without predictions
1,
# ground_truth stats
1, 1, 1
),
(
# test name just for reference
'Some tasks has no predictions, others are outdated',
# project config: contains actual model version
dict(
title='Test',
model_version='12345',
label_config='''
<View>
<Text name="txt" value="$text"></Text>
<Choices name="cls" toName="txt" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
),
# setup API returns this model version
'12345',
# task data
[
{'text': 'text A'},
{'text': 'text B'}
],
# annotations: there is no any annotations
[None, None],
# there is only one prediction (since job has finished before processing all tasks)
[{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}], 'score': 0.95,
'model_version': '12345_old'
}, None],
# prediction call count for all tasks without up-to-date predictions
2,
# ground_truth stats
0, 0, 0
),
(
# test name just for reference
'Some tasks has no predictions, others are outdated, project.model_version is outdated',
# project config: contains actual model version
dict(
title='Test',
model_version='12345_old',
label_config='''
<View>
<Text name="txt" value="$text"></Text>
<Choices name="cls" toName="txt" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
),
# setup API returns this model version
'12345',
# task data
[
{'text': 'text A'},
{'text': 'text B'}
],
# annotations: there is no any annotations
[None, None],
# there is only one prediction (since job has finished before processing all tasks)
[{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}], 'score': 0.95,
'model_version': '12345_old'
}, None],
# prediction call count for all tasks without up-to-date predictions
2,
# ground_truth stats
0, 0, 0
),
(
# test name just for reference
'Some tasks has no predictions, others are outdated, others are up-to-date',
# project config: contains actual model version
dict(
title='Test',
model_version='12345_old',
label_config='''
<View>
<Text name="txt" value="$text"></Text>
<Choices name="cls" toName="txt" choice="single">
<Choice value="class_A"></Choice>
<Choice value="class_B"></Choice>
</Choices>
</View>'''
),
# setup API returns this model version
'12345',
# task data
[
{'text': 'text A'},
{'text': 'text A'},
{'text': 'text B'}
],
# annotations: there is no any annotations
[None, None, None],
# there is only one prediction (since job has finished before processing all tasks)
[{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}], 'score': 0.95,
'model_version': '12345_old'
},
{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}],
'score': 0.95,
'model_version': '12345'
},
None],
# prediction call count for all tasks without up-to-date predictions
2,
# ground_truth stats
0, 0, 0
),
])
@pytest.mark.django_db
def test_predictions_with_partially_predicted_tasks(
business_client, test_name, setup_returns_model_version, project_config, tasks, annotations, input_predictions,
prediction_call_count, num_project_stats, num_ground_truth_in_stats, num_ground_truth_fit_predictions, mocker
):
project = make_project(project_config, business_client.user)
ml_backend = MLBackend.objects.get(url='http://localhost:8999')
ml_backend.model_version = project_config['model_version']
ml_backend.save()
for task, annotation, prediction in zip(tasks, annotations, input_predictions):
task_obj = Task.objects.create(project=project, data=task)
if annotation is not None:
Annotation.objects.create(task=task_obj, **annotation)
if prediction is not None:
Prediction.objects.create(task=task_obj, **prediction)
# run prediction
with requests_mock.Mocker() as m:
m.register_uri('POST', 'http://localhost:8999/setup', text=json.dumps({'model_version': setup_returns_model_version})) # noqa
m.register_uri('POST', 'http://localhost:8999/predict', text=json.dumps({
'results': [{
'result': [{'from_name': 'cls', 'to_name': 'txt', 'type': 'choices', 'value': {'choices': ['class_A']}}],
'score': 1
}],
'model_version': setup_returns_model_version
}))
r = run_task_predictions(business_client, project, mocker)
assert r.status_code == 200
assert len(list(filter(lambda h: h.url.endswith('predict'), m.request_history))) == prediction_call_count
assert Prediction.objects.filter(task__project=project.id, model_version=setup_returns_model_version).count() == len(tasks)
assert MLBackend.objects.get(url='http://localhost:8999').model_version == setup_returns_model_version
| 33.740558
| 168
| 0.546866
| 2,254
| 20,548
| 4.818988
| 0.089175
| 0.081753
| 0.053213
| 0.025041
| 0.820015
| 0.809151
| 0.785951
| 0.770208
| 0.753268
| 0.724636
| 0
| 0.023922
| 0.312391
| 20,548
| 608
| 169
| 33.796053
| 0.744851
| 0.175346
| 0
| 0.707657
| 0
| 0.00232
| 0.370087
| 0.062107
| 0
| 0
| 0
| 0
| 0.023202
| 1
| 0.009281
| false
| 0
| 0.018561
| 0
| 0.032483
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a78994f73341bc4d7b67a89ea0c2fb7eafffe164
| 1,443
|
py
|
Python
|
LeArm code/LeArmSerial/com01.py
|
iamNCJ/ZKCup2019
|
6f4282831cdc8ad74d420526ed52da8dc74c1f79
|
[
"MIT"
] | 3
|
2019-05-12T11:30:38.000Z
|
2019-11-22T14:54:15.000Z
|
LeArm code/LeArmSerial/com01.py
|
iamNCJ/ZKCup2019
|
6f4282831cdc8ad74d420526ed52da8dc74c1f79
|
[
"MIT"
] | null | null | null |
LeArm code/LeArmSerial/com01.py
|
iamNCJ/ZKCup2019
|
6f4282831cdc8ad74d420526ed52da8dc74c1f79
|
[
"MIT"
] | null | null | null |
import serial
import time
RESET = [0x55, 0x55, 0x17, 0x03,
0x06, 0xE8, 0x03, 0x01,
0xC4, 0x09, 0x02, 0xDC,
0x05, 0x03, 0x4D, 0x02,
0x04, 0xF4, 0x01, 0x05,
0xF4, 0x01, 0x06, 0xDC,
0x05]
AHEADPOS_1 = [0x55, 0x55, 0x17, 0x03,
0x06, 0xE8, 0x03, 0x01,
0xC4, 0x09, 0x02, 0xDC,
0x05, 0x03, 0x4D, 0x02,
0x04, 0xF4, 0x01, 0x05,
0xF4, 0x01, 0x06, 0xDC,
0x05]
AHEADPOS_2 = [0x55, 0x55, 0x17, 0x03,
0x06, 0xE8, 0x03, 0x01,
0x00, 0x07, 0x02, 0xDC,
0x05, 0x03, 0x9B, 0x06,
0x04, 0x94, 0x03, 0x05,
0x5F, 0x07, 0x06, 0xDC,
0x05]
AHEADPOS_3 = [0x55, 0x55, 0x17, 0x03,
0x06, 0xE8, 0x03, 0x01,
0xC4, 0x09, 0x02, 0xDC,
0x05, 0x03, 0x9B, 0x06,
0x04, 0x94, 0x03, 0x05,
0x5F, 0x07, 0x06, 0xDC,
0x05]
ser = serial.Serial('/dev/ttyUSB1', 9600, timeout=1)
# try:
while 1:
# ser.write(b'test')
ser.write(serial.to_bytes(RESET))
time.sleep(1)
ser.write(serial.to_bytes(AHEADPOS_1))
time.sleep(1)
ser.write(serial.to_bytes(AHEADPOS_2))
time.sleep(1)
ser.write(serial.to_bytes(AHEADPOS_3))
time.sleep(1)
ser.write(serial.to_bytes(RESET))
time.sleep(1)
# except:
# ser.close()
| 29.44898
| 52
| 0.505891
| 177
| 1,443
| 4.062147
| 0.237288
| 0.089013
| 0.062587
| 0.111266
| 0.83032
| 0.83032
| 0.83032
| 0.83032
| 0.771905
| 0.522949
| 0
| 0.313531
| 0.370062
| 1,443
| 48
| 53
| 30.0625
| 0.477448
| 0.031878
| 0
| 0.714286
| 0
| 0
| 0.008621
| 0
| 0
| 0
| 0.287356
| 0
| 0
| 1
| 0
| false
| 0
| 0.047619
| 0
| 0.047619
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
a7cabae95bc82191ade61ff3fe3d2469a4cee890
| 12,574
|
py
|
Python
|
tests/test_nn/test_loss.py
|
shizuku/cranet
|
4c86ad16029ed76a74e22b5e5e4c21267d6b9996
|
[
"MIT"
] | 4
|
2021-10-31T13:31:13.000Z
|
2021-12-11T08:45:36.000Z
|
tests/test_nn/test_loss.py
|
Azathoth1729/cranet
|
4c86ad16029ed76a74e22b5e5e4c21267d6b9996
|
[
"MIT"
] | null | null | null |
tests/test_nn/test_loss.py
|
Azathoth1729/cranet
|
4c86ad16029ed76a74e22b5e5e4c21267d6b9996
|
[
"MIT"
] | 2
|
2021-10-31T13:34:28.000Z
|
2021-11-21T09:11:46.000Z
|
import os
import sys
import unittest
import numpy as np
import torch
from torch.nn import functional as torch_F
from src.cranet.nn import functional as cranet_F
from src import cranet
from ..utils import teq
class TestL1Loss(unittest.TestCase):
def test_l1_0(self):
for _ in range(100):
x = np.random.rand(64, 10)
y = np.random.rand(64, 10)
x_d = cranet.Tensor(x, requires_grad=True)
x_t = torch.tensor(x, requires_grad=True)
y_d = cranet.Tensor(y, requires_grad=True)
y_t = torch.tensor(y, requires_grad=True)
l_d = cranet_F.l1_loss(x_d, y_d, reduction='mean')
l_t = torch_F.l1_loss(x_t, y_t, reduction='mean')
l_t.backward()
l_d.backward()
self.assertTrue(teq(l_d, l_t))
self.assertTrue(teq(x_d.grad, x_t.grad))
self.assertTrue(teq(y_d.grad, y_t.grad))
def test_l1_1(self):
for _ in range(100):
x = np.random.rand(64, 10)
y = np.random.rand(64, 10)
x_d = cranet.Tensor(x, requires_grad=True)
x_t = torch.tensor(x, requires_grad=True)
y_d = cranet.Tensor(y, requires_grad=True)
y_t = torch.tensor(y, requires_grad=True)
l_d = cranet_F.l1_loss(x_d, y_d, reduction='sum')
l_t = torch_F.l1_loss(x_t, y_t, reduction='sum')
l_t.backward()
l_d.backward()
self.assertTrue(teq(l_d, l_t, 2e-13))
self.assertTrue(teq(x_d.grad, x_t.grad))
self.assertTrue(teq(y_d.grad, y_t.grad))
def test_l1_2(self):
for _ in range(100):
a = np.random.rand(64, 10)
b = np.random.rand(64, 10)
x_d = cranet.Tensor(a, requires_grad=True)
x_t = torch.tensor(a, requires_grad=True)
y_d = cranet.Tensor(b, requires_grad=True)
y_t = torch.tensor(b, requires_grad=True)
l_d = cranet_F.l1_loss(x_d, y_d, reduction='none')
l_t = torch_F.l1_loss(x_t, y_t, reduction='none')
g = np.random.rand(64, 10)
l_t.backward(torch.tensor(g))
l_d.backward(cranet.Tensor(g))
self.assertTrue(teq(y_d, y_t))
self.assertTrue(teq(x_d.grad, x_t.grad))
self.assertTrue(teq(y_d.grad, y_t.grad))
class TestMSELoss(unittest.TestCase):
def test_mse_0(self):
for _ in range(100):
x = np.random.rand(64, 10)
y = np.random.rand(64, 10)
x_d = cranet.Tensor(x, requires_grad=True)
x_t = torch.tensor(x, requires_grad=True)
y_d = cranet.Tensor(y, requires_grad=True)
y_t = torch.tensor(y, requires_grad=True)
l_d = cranet_F.mse_loss(x_d, y_d, reduction='mean')
l_t = torch_F.mse_loss(x_t, y_t, reduction='mean')
l_t.backward()
l_d.backward()
self.assertTrue(teq(l_d, l_t))
self.assertTrue(teq(x_d.grad, x_t.grad))
self.assertTrue(teq(y_d.grad, y_t.grad))
def test_mse_1(self):
for _ in range(100):
x = np.random.rand(64, 10)
y = np.random.rand(64, 10)
x_d = cranet.Tensor(x, requires_grad=True)
x_t = torch.tensor(x, requires_grad=True)
y_d = cranet.Tensor(y, requires_grad=True)
y_t = torch.tensor(y, requires_grad=True)
l_d = cranet_F.mse_loss(x_d, y_d, reduction='sum')
l_t = torch_F.mse_loss(x_t, y_t, reduction='sum')
l_t.backward()
l_d.backward()
self.assertTrue(teq(l_d, l_t, 2e-13))
self.assertTrue(teq(x_d.grad, x_t.grad))
self.assertTrue(teq(y_d.grad, y_t.grad))
def test_mse_2(self):
for _ in range(100):
a = np.random.rand(64, 10)
b = np.random.rand(64, 10)
x_d = cranet.Tensor(a, requires_grad=True)
x_t = torch.tensor(a, requires_grad=True)
y_d = cranet.Tensor(b, requires_grad=True)
y_t = torch.tensor(b, requires_grad=True)
l_d = cranet_F.mse_loss(x_d, y_d, reduction='none')
l_t = torch_F.mse_loss(x_t, y_t, reduction='none')
g = np.random.rand(64, 10)
l_t.backward(torch.tensor(g))
l_d.backward(cranet.Tensor(g))
self.assertTrue(teq(y_d, y_t))
self.assertTrue(teq(x_d.grad, x_t.grad))
self.assertTrue(teq(y_d.grad, y_t.grad))
class TestBCELoss(unittest.TestCase):
def test_binary_cross_entropy_0(self):
for _ in range(1000):
a = np.random.rand(10)
b = np.random.rand(10)
a0 = cranet.Tensor(a, requires_grad=True)
a1 = torch.tensor(a, requires_grad=True)
b0 = cranet.Tensor(b, requires_grad=True)
b1 = torch.tensor(b)
c0 = cranet_F.binary_cross_entropy(a0, b0, reduction='mean')
c1 = torch_F.binary_cross_entropy(a1, b1, reduction='mean')
c0.zero_grad()
c1.backward()
c0.backward()
self.assertTrue(teq(c0, c1))
self.assertTrue(teq(a0.grad, a1.grad, 2e-11))
def test_binary_cross_entropy_1(self):
for _ in range(1000):
a = np.random.rand(10)
b = np.random.rand(10)
a0 = cranet.Tensor(a, requires_grad=True)
a1 = torch.tensor(a, requires_grad=True)
b0 = cranet.Tensor(b, requires_grad=True)
b1 = torch.tensor(b)
c0 = cranet_F.binary_cross_entropy(a0, b0, reduction='sum')
c1 = torch_F.binary_cross_entropy(a1, b1, reduction='sum')
c0.zero_grad()
c1.backward()
c0.backward()
self.assertTrue(teq(c0, c1, 2e-9))
self.assertTrue(teq(a0.grad, a1.grad, 2e-10))
def test_binary_cross_entropy_2(self):
for _ in range(1000):
a = np.random.rand(3, 5)
b = np.random.rand(3, 5)
a0 = cranet.Tensor(a, requires_grad=True)
a1 = torch.tensor(a, requires_grad=True)
b0 = cranet.Tensor(b, requires_grad=True)
b1 = torch.tensor(b)
c0 = cranet_F.binary_cross_entropy(a0, b0, reduction='mean')
c1 = torch_F.binary_cross_entropy(a1, b1, reduction='mean')
c0.zero_grad()
c1.backward()
c0.backward()
self.assertTrue(teq(c0, c1, 2e-9))
self.assertTrue(teq(a0.grad, a1.grad, 2e-9))
def test_binary_cross_entropy_3(self):
for _ in range(1000):
a = np.random.rand(3, 5, 4)
b = np.random.rand(3, 5, 4)
a0 = cranet.Tensor(a, requires_grad=True)
a1 = torch.tensor(a, requires_grad=True)
b0 = cranet.Tensor(b, requires_grad=True)
b1 = torch.tensor(b)
c0 = cranet_F.binary_cross_entropy(a0, b0, reduction='sum')
c1 = torch_F.binary_cross_entropy(a1, b1, reduction='sum')
c0.zero_grad()
c1.backward()
c0.backward()
self.assertTrue(teq(c0, c1, 2e-9))
self.assertTrue(teq(a0.grad, a1.grad, 2e-9))
class TestCrossEntropyLoss(unittest.TestCase):
def test_cross_entropy_0(self):
for _ in range(100):
x = np.random.rand(64, 10)
y = np.random.randint(0, 10, [64])
x_d = cranet.Tensor(x, requires_grad=True)
y_d = cranet.Tensor(y)
x_t = torch.tensor(x, requires_grad=True)
y_t = torch.tensor(y)
l_d = cranet_F.cross_entropy(x_d, y_d, reduction='mean')
l_t = torch_F.cross_entropy(x_t, y_t, reduction='mean')
self.assertTrue(teq(l_d, l_t))
l_t.backward()
l_d.backward()
self.assertTrue(teq(x_d.grad, x_t.grad))
def test_cross_entropy_1(self):
for _ in range(100):
x = np.random.rand(64, 10)
y = np.random.randint(0, 10, [64])
x_d = cranet.Tensor(x, requires_grad=True)
y_d = cranet.Tensor(y)
x_t = torch.tensor(x, requires_grad=True)
y_t = torch.tensor(y)
l_d = cranet_F.cross_entropy(x_d, y_d, reduction='sum')
l_t = torch_F.cross_entropy(x_t, y_t, reduction='sum')
self.assertTrue(teq(l_d, l_t, 2e-13))
l_t.backward()
l_d.backward()
self.assertTrue(teq(x_d.grad, x_t.grad))
def test_cross_entropy_2(self):
for _ in range(100):
x = np.random.rand(64, 10)
y = np.random.randint(0, 10, [64])
x_d = cranet.Tensor(x, requires_grad=True)
y_d = cranet.Tensor(y)
x_t = torch.tensor(x, requires_grad=True)
y_t = torch.tensor(y)
l_d = cranet_F.cross_entropy(x_d, y_d, reduction='none')
l_t = torch_F.cross_entropy(x_t, y_t, reduction='none')
self.assertTrue(teq(l_d, l_t))
g = np.random.rand(64)
l_t.backward(torch.tensor(g))
l_d.backward(cranet.Tensor(g))
self.assertTrue(teq(x_d.grad, x_t.grad))
# def test_cross_entropy_3(self):
# for _ in range(100):
# x = np.random.rand(64, 10)
# y = np.random.randint(0, 10, [64])
# w = np.random.rand(64)
# x_d = cranet.Tensor(x, requires_grad=True)
# y_d = cranet.Tensor(y)
# x_t = torch.tensor(x, requires_grad=True)
# y_t = torch.tensor(y)
# l_d = cranet_F.cross_entropy(x_d, y_d, weight=cranet.Tensor(w))
# l_t = torch_F.cross_entropy(x_t, y_t, weight=torch.tensor(w))
# self.assertTrue(teq(l_d, l_t))
# l_t.backward()
# l_d.backward()
# self.assertTrue(teq(x_d.grad, x_t.grad))
class TestNLLLoss(unittest.TestCase):
def test_nll_loss_0(self):
for _ in range(100):
x = np.random.rand(64, 10)
y = np.random.randint(0, 10, [64])
x_c = cranet.tensor(x, requires_grad=True)
y_c = cranet.tensor(y)
x_t = torch.tensor(x, requires_grad=True)
y_t = torch.tensor(y)
l_c = cranet_F.nll_loss(x_c, y_c, reduction='mean')
l_t = torch_F.nll_loss(x_t, y_t, reduction='mean')
self.assertTrue(teq(l_c, l_t))
l_t.backward()
l_c.backward()
self.assertTrue(teq(x_c.grad, x_t.grad))
def test_nll_loss_1(self):
for _ in range(100):
x = np.random.rand(64, 10)
y = np.random.randint(0, 10, [64])
x_d = cranet.Tensor(x, requires_grad=True)
y_d = cranet.Tensor(y)
x_t = torch.tensor(x, requires_grad=True)
y_t = torch.tensor(y)
l_d = cranet_F.nll_loss(x_d, y_d, reduction='sum')
l_t = torch_F.nll_loss(x_t, y_t, reduction='sum')
self.assertTrue(teq(l_d, l_t, 2e-14))
l_t.backward()
l_d.backward()
self.assertTrue(teq(x_d.grad, x_t.grad))
def test_nll_loss_2(self):
for _ in range(100):
x = np.random.rand(64, 10)
y = np.random.randint(0, 10, [64])
x_d = cranet.Tensor(x, requires_grad=True)
y_d = cranet.Tensor(y)
x_t = torch.tensor(x, requires_grad=True)
y_t = torch.tensor(y)
l_d = cranet_F.nll_loss(x_d, y_d, reduction='none')
l_t = torch_F.nll_loss(x_t, y_t, reduction='none')
self.assertTrue(teq(l_d, l_t))
g = np.random.rand(64)
l_t.backward(torch.tensor(g))
l_d.backward(cranet.Tensor(g))
self.assertTrue(teq(x_d.grad, x_t.grad))
# def test_nll_loss_3(self):
# for _ in range(100):
# x = np.random.rand(64, 10)
# y = np.random.randint(0, 10, [64])
# w = np.random.rand(64)
# x_d = cranet.Tensor(x, requires_grad=True)
# y_d = cranet.Tensor(y)
# x_t = torch.tensor(x, requires_grad=True)
# y_t = torch.tensor(y)
# l_d = cranet_F.nll_loss(x_d, y_d, weight=cranet.Tensor(w))
# l_t = torch_F.nll_loss(x_t, y_t, weight=torch.tensor(w))
# self.assertTrue(teq(l_d, l_t))
# l_t.backward()
# l_d.backward()
# self.assertTrue(teq(x_d.grad, x_t.grad))
if __name__ == '__main__':
sys.path.append(os.getcwd())
unittest.main()
| 39.91746
| 77
| 0.553841
| 1,907
| 12,574
| 3.414788
| 0.046146
| 0.095823
| 0.127764
| 0.073096
| 0.934736
| 0.920455
| 0.911548
| 0.897113
| 0.888667
| 0.88836
| 0
| 0.039079
| 0.316208
| 12,574
| 314
| 78
| 40.044586
| 0.718307
| 0.094799
| 0
| 0.72549
| 0
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| 0.010924
| 0
| 0
| 0
| 0
| 0
| 0.14902
| 1
| 0.062745
| false
| 0
| 0.035294
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| 0.117647
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
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| 1
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|
0
| 7
|
ac30e1309c8be6c20b725eac5c9d40f5e508fe0e
| 9,224
|
py
|
Python
|
api/tests/test_student_profile_employment.py
|
matchd-ch/matchd-backend
|
84be4aab1b4708cae50a8988301b15df877c8db0
|
[
"Apache-2.0"
] | 1
|
2022-03-03T09:55:57.000Z
|
2022-03-03T09:55:57.000Z
|
api/tests/test_student_profile_employment.py
|
matchd-ch/matchd-backend
|
84be4aab1b4708cae50a8988301b15df877c8db0
|
[
"Apache-2.0"
] | 7
|
2022-02-09T10:44:53.000Z
|
2022-03-28T03:29:43.000Z
|
api/tests/test_student_profile_employment.py
|
matchd-ch/matchd-backend
|
84be4aab1b4708cae50a8988301b15df877c8db0
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from django.contrib.auth import get_user_model
from django.contrib.auth.models import AnonymousUser
from db.helper.forms import convert_date
from db.models import JobType, DateMode, Branch
@pytest.mark.django_db
def test_employment_date_range(login, user_student, student_employment, job_type_objects_date_range,
branch_objects):
user_student.student.profile_step = 2
user_student.student.save()
login(user_student)
data, errors = student_employment(user_student, job_type_objects_date_range[0], '01.1337',
'02.1337', branch_objects[0])
assert errors is None
assert data is not None
assert data.get('studentProfileEmployment') is not None
assert data.get('studentProfileEmployment').get('success')
user = get_user_model().objects.get(pk=user_student.id)
assert user.student.job_type.id == job_type_objects_date_range[0].id
assert user.student.branch.id == branch_objects[0].id
assert user.student.job_from_date == convert_date('01.1337', '%m.%Y')
assert user.student.job_to_date == convert_date('02.1337', '%m.%Y')
assert user.student.profile_step == 3
@pytest.mark.django_db
def test_employment_without_valid_date_range(login, user_student, student_employment,
job_type_objects_date_range, branch_objects):
user_student.student.profile_step = 2
user_student.student.save()
login(user_student)
data, errors = student_employment(user_student, job_type_objects_date_range[0], None, None,
branch_objects[0])
assert errors is None
assert data is not None
assert data.get('studentProfileEmployment') is not None
assert data.get('studentProfileEmployment').get('success') is False
errors = data.get('studentProfileEmployment').get('errors')
assert errors is not None
assert 'jobFromDate' in errors
assert 'jobToDate' in errors
user = get_user_model().objects.get(pk=user_student.id)
assert user.student.job_type is None
assert user.student.branch is None
assert user.student.job_from_date is None
assert user.student.job_to_date is None
assert user.student.profile_step == 2
@pytest.mark.django_db
def test_employment_with_from_date_only(login, user_student, student_employment,
job_type_objects_date_range, branch_objects):
user_student.student.profile_step = 2
user_student.student.save()
login(user_student)
data, errors = student_employment(user_student, job_type_objects_date_range[0], '01.1337', None,
branch_objects[0])
assert errors is None
assert data is not None
assert data.get('studentProfileEmployment') is not None
assert data.get('studentProfileEmployment').get('success') is False
errors = data.get('studentProfileEmployment').get('errors')
assert errors is not None
assert 'jobToDate' in errors
user = get_user_model().objects.get(pk=user_student.id)
assert user.student.job_type is None
assert user.student.branch is None
assert user.student.job_from_date is None
assert user.student.job_to_date is None
assert user.student.profile_step == 2
@pytest.mark.django_db
def test_employment_date_from(login, user_student, student_employment, job_type_objects_date_from,
branch_objects):
user_student.student.profile_step = 2
user_student.student.save()
login(user_student)
data, errors = student_employment(user_student, job_type_objects_date_from[0], '01.1337', None,
branch_objects[0])
assert errors is None
assert data is not None
assert data.get('studentProfileEmployment') is not None
assert data.get('studentProfileEmployment').get('success')
user = get_user_model().objects.get(pk=user_student.id)
assert user.student.job_type.id == job_type_objects_date_from[0].id
assert user.student.branch.id == branch_objects[0].id
assert user.student.job_from_date == convert_date('01.1337', '%m.%Y')
assert user.student.job_to_date is None
assert user.student.profile_step == 3
@pytest.mark.django_db
def test_employment_without_login(user_student, student_employment, job_type_objects_date_range,
branch_objects):
data, errors = student_employment(AnonymousUser(), job_type_objects_date_range[0], '01.1337',
'02.1337', branch_objects[0])
assert errors is not None
assert data is not None
assert data.get('studentProfileEmployment') is None
user = get_user_model().objects.get(pk=user_student.id)
assert user.student.job_type is None
assert user.student.branch is None
assert user.student.job_from_date is None
assert user.student.job_to_date is None
assert user.student.profile_step == 1
@pytest.mark.django_db
def test_employment_as_company(login, user_employee, student_employment,
job_type_objects_date_range, branch_objects):
login(user_employee)
data, errors = student_employment(user_employee, job_type_objects_date_range[0], '01.1337',
'02.1337', branch_objects[0])
assert errors is None
assert data is not None
assert data.get('studentProfileEmployment') is not None
errors = data.get('studentProfileEmployment').get('errors')
assert errors is not None
assert 'type' in errors
@pytest.mark.django_db
def test_employment_invalid_step(login, user_student, student_employment,
job_type_objects_date_range, branch_objects):
user_student.student.profile_step = 0
user_student.student.save()
login(user_student)
data, errors = student_employment(user_student, job_type_objects_date_range[0], '01.1337',
'02.1337', branch_objects[0])
assert errors is None
assert data is not None
assert data.get('studentProfileEmployment') is not None
assert data.get('studentProfileEmployment').get('success') is False
errors = data.get('studentProfileEmployment').get('errors')
assert errors is not None
assert 'profileStep' in errors
user = get_user_model().objects.get(pk=user_student.id)
assert user.student.profile_step == 0
@pytest.mark.django_db
def test_employment_invalid_date_range(login, user_student, student_employment):
user_student.student.profile_step = 2
user_student.student.save()
login(user_student)
data, errors = student_employment(user_student, JobType(id=1337, mode=DateMode.DATE_RANGE),
'03.1337', '02.1337', Branch(id=1337))
assert errors is None
assert data is not None
assert data.get('studentProfileEmployment') is not None
errors = data.get('studentProfileEmployment').get('errors')
assert errors is not None
assert 'jobType' in errors
assert 'branch' in errors
@pytest.mark.django_db
def test_employment_invalid_date_from(login, user_student, student_employment):
user_student.student.profile_step = 2
user_student.student.save()
login(user_student)
data, errors = student_employment(user_student, JobType(id=1337, mode=DateMode.DATE_FROM),
'1337.1337', None, Branch(id=1337))
assert errors is None
assert data is not None
assert data.get('studentProfileEmployment') is not None
errors = data.get('studentProfileEmployment').get('errors')
assert errors is not None
assert 'jobType' in errors
assert 'branch' in errors
@pytest.mark.django_db
def test_employment_invalid_date_range_with_valid_job_type(login, user_student, student_employment,
job_type_objects_date_range):
user_student.student.profile_step = 2
user_student.student.save()
login(user_student)
data, errors = student_employment(user_student, job_type_objects_date_range[0], '03.1337',
'02.1337', Branch(id=1337))
assert errors is None
assert data is not None
assert data.get('studentProfileEmployment') is not None
errors = data.get('studentProfileEmployment').get('errors')
assert errors is not None
assert 'jobToDate' in errors
assert 'branch' in errors
@pytest.mark.django_db
def test_employment_invalid_date_from_with_valid_job_type(login, user_student, student_employment,
job_type_objects_date_from):
user_student.student.profile_step = 2
user_student.student.save()
login(user_student)
data, errors = student_employment(user_student, job_type_objects_date_from[0], '1337.1337',
None, Branch(id=1337))
assert errors is None
assert data is not None
assert data.get('studentProfileEmployment') is not None
errors = data.get('studentProfileEmployment').get('errors')
assert errors is not None
assert 'jobFromDate' in errors
assert 'branch' in errors
| 40.45614
| 100
| 0.696444
| 1,206
| 9,224
| 5.083748
| 0.055556
| 0.139945
| 0.044038
| 0.061165
| 0.945523
| 0.938672
| 0.933453
| 0.927092
| 0.920731
| 0.912086
| 0
| 0.024536
| 0.21791
| 9,224
| 227
| 101
| 40.634361
| 0.82534
| 0
| 0
| 0.778378
| 0
| 0
| 0.098981
| 0.062446
| 0
| 0
| 0
| 0
| 0.459459
| 1
| 0.059459
| false
| 0
| 0.027027
| 0
| 0.086486
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| null | 0
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|
0
| 8
|
ac384fd4b07c789d28535b38c64363821d27ed95
| 129
|
py
|
Python
|
test_excercise1.py
|
LukasHoste/Algorithms_Vives_exercises_test
|
9bc17450352ed1adf57833f739ba9e58bd2deb80
|
[
"Apache-2.0"
] | null | null | null |
test_excercise1.py
|
LukasHoste/Algorithms_Vives_exercises_test
|
9bc17450352ed1adf57833f739ba9e58bd2deb80
|
[
"Apache-2.0"
] | null | null | null |
test_excercise1.py
|
LukasHoste/Algorithms_Vives_exercises_test
|
9bc17450352ed1adf57833f739ba9e58bd2deb80
|
[
"Apache-2.0"
] | 1
|
2021-10-14T07:30:44.000Z
|
2021-10-14T07:30:44.000Z
|
from exercise1 import sumOfNumbers
def test_sumOfNumbers():
assert(sumOfNumbers(0,9) == 16)
assert(sumOfNumbers(0,20) == 48)
| 25.8
| 34
| 0.744186
| 17
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| 0.124031
| 129
| 5
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0
| 7
|
ac3ede71caf8c3e0a95a749c3812ab8a1fdf0a9e
| 2,022
|
py
|
Python
|
venv3/lib/python3.8/site-packages/tests/script/test_too_many_options.py
|
paul-romeo/pytest-in-60-minutes
|
a4817312081347737f87801c0623054eba599418
|
[
"MIT"
] | 94
|
2016-05-23T17:13:11.000Z
|
2021-12-03T23:06:45.000Z
|
venv3/lib/python3.8/site-packages/tests/script/test_too_many_options.py
|
paul-romeo/pytest-in-60-minutes
|
a4817312081347737f87801c0623054eba599418
|
[
"MIT"
] | 39
|
2016-05-19T17:57:53.000Z
|
2020-12-26T09:57:21.000Z
|
venv3/lib/python3.8/site-packages/tests/script/test_too_many_options.py
|
paul-romeo/pytest-in-60-minutes
|
a4817312081347737f87801c0623054eba599418
|
[
"MIT"
] | 15
|
2016-05-23T20:22:37.000Z
|
2019-12-27T21:13:04.000Z
|
import subprocess
import pytest
pytestmark = pytest.mark.slow
version_file_content = """
major = 1
minor = 0
patch = 0
"""
config_file_content = """
__config_version__ = 1
GLOBALS = {
'serializer': '{{major}}.{{minor}}.{{patch}}',
}
FILES = ["README.md"]
VERSION = ['major', 'minor', 'patch']
"""
def test_specify_part_and_action(test_environment):
test_environment.ensure_file_is_present("README.md", "Version 1.0.0")
test_environment.ensure_file_is_present(
"punch_version.py",
version_file_content
)
test_environment.ensure_file_is_present(
"punch_config.py",
config_file_content
)
with pytest.raises(subprocess.CalledProcessError):
test_environment.output([
"punch",
"--part", "major",
"--action", "punch:increase",
"--action-options", "part=major"
])
def test_specify_part_and_set_part(test_environment):
test_environment.ensure_file_is_present("README.md", "Version 1.0.0")
test_environment.ensure_file_is_present(
"punch_version.py",
version_file_content
)
test_environment.ensure_file_is_present(
"punch_config.py",
config_file_content
)
with pytest.raises(subprocess.CalledProcessError):
test_environment.output([
"punch",
"--part", "major",
"--set-part", "major=4",
])
def test_specify_set_part_and_action(test_environment):
test_environment.ensure_file_is_present("README.md", "Version 1.0.0")
test_environment.ensure_file_is_present(
"punch_version.py",
version_file_content
)
test_environment.ensure_file_is_present(
"punch_config.py",
config_file_content
)
with pytest.raises(subprocess.CalledProcessError):
test_environment.output([
"punch",
"--set-part", "major=5",
"--action", "punch:increase",
"--action-options", "part=major"
])
| 22.719101
| 73
| 0.633531
| 222
| 2,022
| 5.396396
| 0.184685
| 0.187813
| 0.157763
| 0.187813
| 0.803005
| 0.77379
| 0.77379
| 0.705342
| 0.705342
| 0.705342
| 0
| 0.009759
| 0.239862
| 2,022
| 88
| 74
| 22.977273
| 0.769681
| 0
| 0
| 0.621212
| 0
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| 0.251731
| 0.015826
| 0
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| 0.045455
| false
| 0
| 0.030303
| 0
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| 0
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| 0
| 1
| 1
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| 1
| 1
| 1
| 1
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| null | 0
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| 0
| 0
|
0
| 7
|
ac69328f10b671bb7bccda1ff5ff9655a0a9de8f
| 528
|
py
|
Python
|
nipype/interfaces/semtools/filtering/__init__.py
|
sebastientourbier/nipype
|
99c5904176481520c5bf42a501aae1a12184e672
|
[
"Apache-2.0"
] | 2
|
2019-01-25T18:20:51.000Z
|
2019-07-30T20:51:51.000Z
|
nipype/interfaces/semtools/filtering/__init__.py
|
sebastientourbier/nipype
|
99c5904176481520c5bf42a501aae1a12184e672
|
[
"Apache-2.0"
] | null | null | null |
nipype/interfaces/semtools/filtering/__init__.py
|
sebastientourbier/nipype
|
99c5904176481520c5bf42a501aae1a12184e672
|
[
"Apache-2.0"
] | 2
|
2018-01-25T19:48:17.000Z
|
2019-01-25T18:20:52.000Z
|
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from .denoising import UnbiasedNonLocalMeans
from .featuredetection import GenerateSummedGradientImage, CannySegmentationLevelSetImageFilter, DilateImage, TextureFromNoiseImageFilter, FlippedDifference, ErodeImage, GenerateBrainClippedImage, NeighborhoodMedian, GenerateTestImage, NeighborhoodMean, HammerAttributeCreator, TextureMeasureFilter, DilateMask, DumpBinaryTrainingVectors, DistanceMaps, STAPLEAnalysis, GradientAnisotropicDiffusionImageFilter, CannyEdge
| 105.6
| 419
| 0.882576
| 33
| 528
| 13.969697
| 0.848485
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002024
| 0.064394
| 528
| 4
| 420
| 132
| 0.931174
| 0.039773
| 0
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| 1
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| 0
| 0
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| 0
| 1
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| true
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| 0
| 0
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| 0
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| 0
| 1
| 0
| 0
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| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
3bbd9796e65519ed82148e5d783cd548f1375620
| 363,453
|
py
|
Python
|
src/output.py
|
sisrfeng/CenterNet
|
4c4b751b097f0ffeff8da2f8fdd4c12180ca26fc
|
[
"MIT"
] | null | null | null |
src/output.py
|
sisrfeng/CenterNet
|
4c4b751b097f0ffeff8da2f8fdd4c12180ca26fc
|
[
"MIT"
] | null | null | null |
src/output.py
|
sisrfeng/CenterNet
|
4c4b751b097f0ffeff8da2f8fdd4c12180ca26fc
|
[
"MIT"
] | null | null | null |
nohup: ignoring input
Using tensorboardX
Fix size testing.
training chunk_sizes: [1, 8, 8, 8, 7]
The output will be saved to /root/c/src/lib/../../exp/ctdet/coco_dla
heads {'hm': 2, 'wh': 2, 'reg': 2}
Namespace(K=100, aggr_weight=0.0, agnostic_ex=False, arch='dla_34', aug_ddd=0.5, aug_rot=0, batch_size=32, cat_spec_wh=False, center_thresh=0.1, chunk_sizes=[1, 8, 8, 8, 7], data_dir='/root/c/src/lib/../../data', dataset='aic', debug=0, debug_dir='/root/c/src/lib/../../exp/ctdet/coco_dla/debug', debugger_theme='white', demo='', dense_hp=False, dense_wh=False, dep_weight=1, dim_weight=1, down_ratio=4, eval_oracle_dep=False, eval_oracle_hm=False, eval_oracle_hmhp=False, eval_oracle_hp_offset=False, eval_oracle_kps=False, eval_oracle_offset=False, eval_oracle_wh=False, exp_dir='/root/c/src/lib/../../exp/ctdet', exp_id='coco_dla', fix_res=True, flip=0.5, flip_test=False, gpus=[0, 1, 2, 3, 4], gpus_str='0,1,2,3,4', head_conv=256, heads={'hm': 2, 'wh': 2, 'reg': 2}, hide_data_time=False, hm_hp=True, hm_hp_weight=1, hm_weight=1, hp_weight=1, input_h=512, input_res=512, input_w=512, keep_res=False, kitti_split='3dop', load_model='', lr=0.000125, lr_step=[90, 120], master_batch_size=1, mean=array([[[0.5863884 , 0.59135514, 0.6016471 ]]], dtype=float32), metric='loss', mse_loss=False, nms=False, no_color_aug=False, norm_wh=False, not_cuda_benchmark=False, not_hm_hp=False, not_prefetch_test=False, not_rand_crop=False, not_reg_bbox=False, not_reg_hp_offset=False, not_reg_offset=False, num_classes=2, num_epochs=140, num_iters=-1, num_stacks=1, num_workers=0, off_weight=1, output_h=128, output_res=128, output_w=128, pad=31, peak_thresh=0.2, print_iter=1, rect_mask=False, reg_bbox=True, reg_hp_offset=True, reg_loss='l1', reg_offset=True, resume=False, root_dir='/root/c/src/lib/../..', rot_weight=1, rotate=0, save_all=False, save_dir='/root/c/src/lib/../../exp/ctdet/coco_dla', scale=0.4, scores_thresh=0.1, seed=317, shift=0.1, std=array([[[0.17724997, 0.1771044 , 0.17422022]]], dtype=float32), task='ctdet', test=False, test_scales=[1.0], trainval=False, val_intervals=5, vis_thresh=0.3, wh_weight=0.1)
Creating model...
Setting up data...
self.img_dir: /root/c/src/lib/../../data/COCO_my/val2017
split: val
/root/c/src/lib/../../data/COCO_my/annotations/instances_val2017.json
==> initializing coco 2017 val data.
loading annotations into memory...
Done (t=0.09s)
creating index...
index created!
Loaded val 2110 samples
self.img_dir: /root/c/src/lib/../../data/COCO_my/train2017
split: train
/root/c/src/lib/../../data/COCO_my/annotations/instances_train2017.json
==> initializing coco 2017 train data.
loading annotations into memory...
Done (t=0.02s)
creating index...
index created!
Loaded train 1955 samples
Starting training...
0
ctdet/coco_dla| train: [1][0/61]|Tot: 0:00:23 |ETA: 0:00:00 |loss 253.6622 |hm_loss 252.2377 |wh_loss 12.7560 |off_loss 0.1488 |Data 0.789s(0.789s) |Net 23.530s
0
1
1
1
0
0
0
ctdet/coco_dla| train: [1][1/61]|Tot: 0:00:25 |ETA: 0:00:00 |loss 201.6354 |hm_loss 199.4867 |wh_loss 19.4979 |off_loss 0.1990 |Data 0.718s(0.753s) |Net 12.795s
1
0
1
0
0
0
ctdet/coco_dla| train: [1][2/61]|Tot: 0:00:26 |ETA: 0:00:00 |loss 182.9316 |hm_loss 180.4127 |wh_loss 22.8153 |off_loss 0.2374 |Data 0.701s(0.736s) |Net 8.990s
1
1
1
0
2
ctdet/coco_dla| train: [1][3/61]|Tot: 0:00:28 |ETA: 0:00:00 |loss 168.5024 |hm_loss 166.0885 |wh_loss 21.9044 |off_loss 0.2235 |Data 0.656s(0.716s) |Net 7.072s
0
0
1
2
ctdet/coco_dla| train: [1][4/61]|Tot: 0:00:29 |ETA: 0:00:00 |loss 162.6771 |hm_loss 160.0450 |wh_loss 24.1291 |off_loss 0.2192 |Data 0.710s(0.715s) |Net 5.932s
2
0
1
0
1
1
1
0
ctdet/coco_dla| train: [1][5/61]|Tot: 0:00:31 |ETA: 0:00:00 |loss 154.7450 |hm_loss 151.9525 |wh_loss 25.7044 |off_loss 0.2221 |Data 0.663s(0.706s) |Net 5.172s
0
0
2
1
2
1
0
ctdet/coco_dla| train: [1][6/61]|Tot: 0:00:32 |ETA: 0:00:00 |loss 146.0022 |hm_loss 142.9267 |wh_loss 28.4865 |off_loss 0.2269 |Data 0.697s(0.705s) |Net 4.633s
0
0
1
2
1
ctdet/coco_dla| train: [1][7/61]|Tot: 0:00:33 |ETA: 0:00:00 |loss 139.8169 |hm_loss 136.7095 |wh_loss 28.7618 |off_loss 0.2312 |Data 0.702s(0.704s) |Net 4.226s
2
1
0
2
0
2
0
0
ctdet/coco_dla| train: [1][8/61]|Tot: 0:00:35 |ETA: 0:00:00 |loss 131.6073 |hm_loss 128.3861 |wh_loss 29.9020 |off_loss 0.2310 |Data 0.667s(0.700s) |Net 3.904s
0
0
1
0
1
0
ctdet/coco_dla| train: [1][9/61]|Tot: 0:00:36 |ETA: 0:00:00 |loss 126.3906 |hm_loss 123.1763 |wh_loss 29.7408 |off_loss 0.2402 |Data 0.653s(0.695s) |Net 3.646s
0
0
1
0
0
ctdet/coco_dla| train: [1][10/61]|Tot: 0:00:37 |ETA: 0:00:00 |loss 121.4728 |hm_loss 118.1913 |wh_loss 30.4300 |off_loss 0.2385 |Data 0.646s(0.691s) |Net 3.433s
1
0
3
1
0
ctdet/coco_dla| train: [1][11/61]|Tot: 0:00:39 |ETA: 0:00:00 |loss 117.1920 |hm_loss 113.8334 |wh_loss 31.2389 |off_loss 0.2347 |Data 0.650s(0.688s) |Net 3.257s
2
0
0
ctdet/coco_dla| train: [1][12/61]|Tot: 0:00:40 |ETA: 0:00:00 |loss 113.5846 |hm_loss 110.2527 |wh_loss 30.9449 |off_loss 0.2374 |Data 0.680s(0.687s) |Net 3.110s
1
ctdet/coco_dla| train: [1][13/61]|Tot: 0:00:41 |ETA: 0:00:00 |loss 109.8465 |hm_loss 106.6703 |wh_loss 29.5293 |off_loss 0.2232 |Data 0.689s(0.687s) |Net 2.984s
0
2
2
0
0
0
ctdet/coco_dla| train: [1][14/61]|Tot: 0:00:43 |ETA: 0:00:00 |loss 105.3685 |hm_loss 102.1943 |wh_loss 29.5737 |off_loss 0.2168 |Data 0.676s(0.686s) |Net 2.880s
0
0
0
0
0
ctdet/coco_dla| train: [1][15/61]|Tot: 0:00:44 |ETA: 0:00:00 |loss 101.4148 |hm_loss 98.2536 |wh_loss 29.4726 |off_loss 0.2139 |Data 0.665s(0.685s) |Net 2.783s
1
0
2
1
ctdet/coco_dla| train: [1][16/61]|Tot: 0:00:45 |ETA: 0:00:00 |loss 97.7998 |hm_loss 94.7034 |wh_loss 28.9164 |off_loss 0.2048 |Data 0.681s(0.685s) |Net 2.699s
2
0
0
0
1
ctdet/coco_dla| train: [1][17/61]|Tot: 0:00:47 |ETA: 0:00:00 |loss 94.6994 |hm_loss 91.5217 |wh_loss 29.7714 |off_loss 0.2006 |Data 0.627s(0.682s) |Net 2.621s
0
0
0
1
ctdet/coco_dla| train: [1][18/61]|Tot: 0:00:48 |ETA: 0:00:00 |loss 91.6165 |hm_loss 88.4839 |wh_loss 29.3155 |off_loss 0.2011 |Data 0.682s(0.682s) |Net 2.554s
0
ctdet/coco_dla| train: [1][19/61]|Tot: 0:00:49 |ETA: 0:00:00 |loss 88.7937 |hm_loss 85.7672 |wh_loss 28.3227 |off_loss 0.1942 |Data 0.659s(0.680s) |Net 2.493s
0
1
0
0
0
0
1
0
2
ctdet/coco_dla| train: [1][20/61]|Tot: 0:00:51 |ETA: 0:00:00 |loss 85.5606 |hm_loss 82.4881 |wh_loss 28.7730 |off_loss 0.1952 |Data 0.683s(0.681s) |Net 2.438s
3
2
1
ctdet/coco_dla| train: [1][21/61]|Tot: 0:00:52 |ETA: 0:00:00 |loss 83.1104 |hm_loss 80.0894 |wh_loss 28.2698 |off_loss 0.1940 |Data 0.679s(0.681s) |Net 2.389s
2
1
2
0
3
2
1
0
ctdet/coco_dla| train: [1][22/61]|Tot: 0:00:53 |ETA: 0:00:00 |loss 80.4776 |hm_loss 77.3827 |wh_loss 29.0121 |off_loss 0.1937 |Data 0.649s(0.679s) |Net 2.342s
1
ctdet/coco_dla| train: [1][23/61]|Tot: 0:00:55 |ETA: 0:00:00 |loss 78.1676 |hm_loss 75.1724 |wh_loss 28.0804 |off_loss 0.1872 |Data 0.652s(0.678s) |Net 2.301s
0
0
0
2
3
2
0
2
ctdet/coco_dla| train: [1][24/61]|Tot: 0:00:56 |ETA: 0:00:00 |loss 75.9059 |hm_loss 72.8503 |wh_loss 28.6713 |off_loss 0.1884 |Data 0.693s(0.679s) |Net 2.264s
0
2
0
0
1
0
0
1
ctdet/coco_dla| train: [1][25/61]|Tot: 0:00:57 |ETA: 0:00:00 |loss 73.5901 |hm_loss 70.5463 |wh_loss 28.5693 |off_loss 0.1869 |Data 0.692s(0.679s) |Net 2.229s
1
1
0
ctdet/coco_dla| train: [1][26/61]|Tot: 0:00:59 |ETA: 0:00:00 |loss 71.6906 |hm_loss 68.6765 |wh_loss 28.2700 |off_loss 0.1871 |Data 0.635s(0.678s) |Net 2.195s
0
0
1
ctdet/coco_dla| train: [1][27/61]|Tot: 0:01:00 |ETA: 0:00:00 |loss 69.7846 |hm_loss 66.7969 |wh_loss 28.0269 |off_loss 0.1850 |Data 0.681s(0.678s) |Net 2.165s
0
ctdet/coco_dla| train: [1][28/61]|Tot: 0:01:01 |ETA: 0:00:00 |loss 67.9671 |hm_loss 65.0575 |wh_loss 27.2984 |off_loss 0.1797 |Data 0.633s(0.676s) |Net 2.135s
0
1
0
ctdet/coco_dla| train: [1][29/61]|Tot: 0:01:03 |ETA: 0:00:00 |loss 66.2175 |hm_loss 63.3494 |wh_loss 26.9144 |off_loss 0.1766 |Data 0.682s(0.676s) |Net 2.109s
0
0
2
0
2
ctdet/coco_dla| train: [1][30/61]|Tot: 0:01:04 |ETA: 0:00:00 |loss 64.5616 |hm_loss 61.6893 |wh_loss 26.9603 |off_loss 0.1762 |Data 0.663s(0.676s) |Net 2.084s
1
1
0
ctdet/coco_dla| train: [1][31/61]|Tot: 0:01:05 |ETA: 0:00:00 |loss 62.9090 |hm_loss 60.1039 |wh_loss 26.3279 |off_loss 0.1722 |Data 0.662s(0.675s) |Net 2.061s
0
0
0
1
0
1
0
1
0
ctdet/coco_dla| train: [1][32/61]|Tot: 0:01:07 |ETA: 0:00:00 |loss 61.3408 |hm_loss 58.5236 |wh_loss 26.4486 |off_loss 0.1723 |Data 0.666s(0.675s) |Net 2.040s
0
2
0
ctdet/coco_dla| train: [1][33/61]|Tot: 0:01:08 |ETA: 0:00:00 |loss 59.9857 |hm_loss 57.1720 |wh_loss 26.3934 |off_loss 0.1743 |Data 0.691s(0.676s) |Net 2.020s
0
1
1
ctdet/coco_dla| train: [1][34/61]|Tot: 0:01:10 |ETA: 0:00:00 |loss 58.6062 |hm_loss 55.8234 |wh_loss 26.1067 |off_loss 0.1721 |Data 0.671s(0.676s) |Net 2.000s
0
0
1
1
1
1
ctdet/coco_dla| train: [1][35/61]|Tot: 0:01:11 |ETA: 0:00:00 |loss 57.2898 |hm_loss 54.5142 |wh_loss 26.0219 |off_loss 0.1734 |Data 0.672s(0.675s) |Net 1.982s
0
0
0
1
1
ctdet/coco_dla| train: [1][36/61]|Tot: 0:01:12 |ETA: 0:00:00 |loss 56.0352 |hm_loss 53.2673 |wh_loss 25.9519 |off_loss 0.1728 |Data 0.672s(0.675s) |Net 1.965s
2
1
ctdet/coco_dla| train: [1][37/61]|Tot: 0:01:14 |ETA: 0:00:00 |loss 54.8880 |hm_loss 52.1129 |wh_loss 26.0436 |off_loss 0.1707 |Data 0.672s(0.675s) |Net 1.948s
0
0
3
1
ctdet/coco_dla| train: [1][38/61]|Tot: 0:01:15 |ETA: 0:00:00 |loss 53.7690 |hm_loss 51.0020 |wh_loss 25.9577 |off_loss 0.1712 |Data 0.686s(0.675s) |Net 1.933s
0
2
ctdet/coco_dla| train: [1][39/61]|Tot: 0:01:16 |ETA: 0:00:00 |loss 52.6289 |hm_loss 49.9002 |wh_loss 25.5999 |off_loss 0.1687 |Data 0.665s(0.675s) |Net 1.918s
0
1
0
1
0
0
ctdet/coco_dla| train: [1][40/61]|Tot: 0:01:18 |ETA: 0:00:00 |loss 51.6431 |hm_loss 48.8842 |wh_loss 25.9000 |off_loss 0.1688 |Data 0.671s(0.675s) |Net 1.904s
2
0
0
1
ctdet/coco_dla| train: [1][41/61]|Tot: 0:01:19 |ETA: 0:00:00 |loss 50.6581 |hm_loss 47.8996 |wh_loss 25.9057 |off_loss 0.1679 |Data 0.680s(0.675s) |Net 1.891s
0
0
1
1
2
0
0
ctdet/coco_dla| train: [1][42/61]|Tot: 0:01:20 |ETA: 0:00:00 |loss 49.7349 |hm_loss 46.9476 |wh_loss 26.1682 |off_loss 0.1705 |Data 0.663s(0.675s) |Net 1.878s
0
0
2
ctdet/coco_dla| train: [1][43/61]|Tot: 0:01:22 |ETA: 0:00:00 |loss 48.7944 |hm_loss 46.0243 |wh_loss 26.0068 |off_loss 0.1694 |Data 0.673s(0.675s) |Net 1.865s
1
0
1
ctdet/coco_dla| train: [1][44/61]|Tot: 0:01:23 |ETA: 0:00:00 |loss 47.9005 |hm_loss 45.1353 |wh_loss 25.9849 |off_loss 0.1668 |Data 0.668s(0.675s) |Net 1.854s
2
0
1
ctdet/coco_dla| train: [1][45/61]|Tot: 0:01:24 |ETA: 0:00:00 |loss 47.0162 |hm_loss 44.2827 |wh_loss 25.6746 |off_loss 0.1660 |Data 0.662s(0.674s) |Net 1.842s
0
0
1
0
1
0
1
2
ctdet/coco_dla| train: [1][46/61]|Tot: 0:01:26 |ETA: 0:00:00 |loss 46.2037 |hm_loss 43.4588 |wh_loss 25.7745 |off_loss 0.1675 |Data 0.682s(0.675s) |Net 1.832s
1
0
2
0
3
ctdet/coco_dla| train: [1][47/61]|Tot: 0:01:27 |ETA: 0:00:00 |loss 45.4759 |hm_loss 42.6934 |wh_loss 26.1373 |off_loss 0.1688 |Data 0.681s(0.675s) |Net 1.822s
1
0
0
3
2
0
ctdet/coco_dla| train: [1][48/61]|Tot: 0:01:28 |ETA: 0:00:00 |loss 44.7290 |hm_loss 41.9472 |wh_loss 26.1261 |off_loss 0.1692 |Data 0.670s(0.675s) |Net 1.812s
0
1
1
0
0
2
0
ctdet/coco_dla| train: [1][49/61]|Tot: 0:01:30 |ETA: 0:00:00 |loss 44.0239 |hm_loss 41.2233 |wh_loss 26.3126 |off_loss 0.1694 |Data 0.665s(0.674s) |Net 1.804s
1
2
1
1
3
3
0
ctdet/coco_dla| train: [1][50/61]|Tot: 0:01:31 |ETA: 0:00:00 |loss 43.3706 |hm_loss 40.5408 |wh_loss 26.5993 |off_loss 0.1699 |Data 0.669s(0.674s) |Net 1.795s
0
1
1
1
0
0
0
2
0
ctdet/coco_dla| train: [1][51/61]|Tot: 0:01:32 |ETA: 0:00:00 |loss 42.6866 |hm_loss 39.8487 |wh_loss 26.6790 |off_loss 0.1700 |Data 0.668s(0.674s) |Net 1.786s
1
0
0
0
2
ctdet/coco_dla| train: [1][52/61]|Tot: 0:01:34 |ETA: 0:00:00 |loss 42.0084 |hm_loss 39.1892 |wh_loss 26.4918 |off_loss 0.1700 |Data 0.683s(0.674s) |Net 1.778s
0
0
0
0
1
1
0
ctdet/coco_dla| train: [1][53/61]|Tot: 0:01:35 |ETA: 0:00:00 |loss 41.3573 |hm_loss 38.5415 |wh_loss 26.4671 |off_loss 0.1691 |Data 0.711s(0.675s) |Net 1.771s
0
2
0
1
1
ctdet/coco_dla| train: [1][54/61]|Tot: 0:01:36 |ETA: 0:00:00 |loss 40.7335 |hm_loss 37.9305 |wh_loss 26.3412 |off_loss 0.1689 |Data 0.674s(0.675s) |Net 1.763s
0
1
3
1
0
0
0
1
ctdet/coco_dla| train: [1][55/61]|Tot: 0:01:38 |ETA: 0:00:00 |loss 40.1276 |hm_loss 37.3235 |wh_loss 26.3548 |off_loss 0.1686 |Data 0.661s(0.675s) |Net 1.755s
0
0
1
2
0
1
0
ctdet/coco_dla| train: [1][56/61]|Tot: 0:01:39 |ETA: 0:00:00 |loss 39.5727 |hm_loss 36.7579 |wh_loss 26.4400 |off_loss 0.1708 |Data 0.665s(0.675s) |Net 1.748s
0
2
0
0
0
2
ctdet/coco_dla| train: [1][57/61]|Tot: 0:01:40 |ETA: 0:00:00 |loss 39.0103 |hm_loss 36.1951 |wh_loss 26.4517 |off_loss 0.1701 |Data 0.664s(0.674s) |Net 1.741s
2
0
0
1
ctdet/coco_dla| train: [1][58/61]|Tot: 0:01:42 |ETA: 0:00:00 |loss 38.4508 |hm_loss 35.6445 |wh_loss 26.3678 |off_loss 0.1695 |Data 0.663s(0.674s) |Net 1.735s
1
0
0
1
2
0
ctdet/coco_dla| train: [1][59/61]|Tot: 0:01:43 |ETA: 0:00:00 |loss 37.9388 |hm_loss 35.1197 |wh_loss 26.5061 |off_loss 0.1685 |Data 0.661s(0.674s) |Net 1.728s
1
0
ctdet/coco_dla| train: [1][60/61]|Tot: 0:01:45 |ETA: 0:00:00 |loss 37.4364 |hm_loss 34.6133 |wh_loss 26.5614 |off_loss 0.1670 |Data 0.667s(0.674s) |Net 1.722s
0
0
0
0
0
2
1
ctdet/coco_dla| train: [2][0/61]|Tot: 0:00:01 |ETA: 0:00:00 |loss 7.8970 |hm_loss 4.5787 |wh_loss 30.5631 |off_loss 0.2620 |Data 0.677s(0.677s) |Net 1.346s
1
1
0
0
ctdet/coco_dla| train: [2][1/61]|Tot: 0:00:02 |ETA: 0:00:00 |loss 7.3373 |hm_loss 4.5426 |wh_loss 25.7585 |off_loss 0.2189 |Data 0.672s(0.674s) |Net 1.344s
1
0
ctdet/coco_dla| train: [2][2/61]|Tot: 0:00:04 |ETA: 0:00:00 |loss 6.9271 |hm_loss 4.3735 |wh_loss 23.8088 |off_loss 0.1728 |Data 0.677s(0.675s) |Net 1.345s
0
0
0
1
0
ctdet/coco_dla| train: [2][3/61]|Tot: 0:00:05 |ETA: 0:00:00 |loss 7.4677 |hm_loss 4.5340 |wh_loss 27.6050 |off_loss 0.1732 |Data 0.687s(0.678s) |Net 1.348s
0
1
0
1
ctdet/coco_dla| train: [2][4/61]|Tot: 0:00:06 |ETA: 0:00:00 |loss 7.4141 |hm_loss 4.4826 |wh_loss 27.5736 |off_loss 0.1741 |Data 0.688s(0.680s) |Net 1.350s
2
0
0
3
2
0
1
0
0
1
ctdet/coco_dla| train: [2][5/61]|Tot: 0:00:08 |ETA: 0:00:00 |loss 7.5363 |hm_loss 4.4313 |wh_loss 29.2864 |off_loss 0.1764 |Data 0.677s(0.679s) |Net 1.349s
2
1
0
0
0
ctdet/coco_dla| train: [2][6/61]|Tot: 0:00:09 |ETA: 0:00:00 |loss 7.4953 |hm_loss 4.3576 |wh_loss 29.6286 |off_loss 0.1748 |Data 0.661s(0.677s) |Net 1.352s
0
2
1
ctdet/coco_dla| train: [2][7/61]|Tot: 0:00:10 |ETA: 0:00:00 |loss 7.2653 |hm_loss 4.2402 |wh_loss 28.6336 |off_loss 0.1618 |Data 0.659s(0.675s) |Net 1.351s
1
2
0
0
0
2
0
ctdet/coco_dla| train: [2][8/61]|Tot: 0:00:12 |ETA: 0:00:00 |loss 7.4156 |hm_loss 4.2402 |wh_loss 30.1574 |off_loss 0.1597 |Data 0.695s(0.677s) |Net 1.352s
2
0
0
0
0
2
1
ctdet/coco_dla| train: [2][9/61]|Tot: 0:00:13 |ETA: 0:00:00 |loss 7.4002 |hm_loss 4.2349 |wh_loss 30.0728 |off_loss 0.1581 |Data 0.662s(0.675s) |Net 1.350s
0
1
1
1
0
1
0
ctdet/coco_dla| train: [2][10/61]|Tot: 0:00:14 |ETA: 0:00:00 |loss 7.3870 |hm_loss 4.2506 |wh_loss 29.7447 |off_loss 0.1620 |Data 0.728s(0.680s) |Net 1.356s
1
3
1
0
0
0
3
ctdet/coco_dla| train: [2][11/61]|Tot: 0:00:16 |ETA: 0:00:00 |loss 7.4330 |hm_loss 4.3412 |wh_loss 29.1875 |off_loss 0.1730 |Data 0.659s(0.678s) |Net 1.354s
1
1
2
0
1
2
ctdet/coco_dla| train: [2][12/61]|Tot: 0:00:17 |ETA: 0:00:00 |loss 7.4447 |hm_loss 4.3456 |wh_loss 29.2882 |off_loss 0.1703 |Data 0.663s(0.677s) |Net 1.352s
0
0
1
0
3
ctdet/coco_dla| train: [2][13/61]|Tot: 0:00:18 |ETA: 0:00:00 |loss 7.3565 |hm_loss 4.2932 |wh_loss 28.9260 |off_loss 0.1707 |Data 0.669s(0.677s) |Net 1.352s
2
1
1
ctdet/coco_dla| train: [2][14/61]|Tot: 0:00:20 |ETA: 0:00:00 |loss 7.2000 |hm_loss 4.2185 |wh_loss 28.1382 |off_loss 0.1678 |Data 0.662s(0.676s) |Net 1.350s
0
1
0
0
1
2
ctdet/coco_dla| train: [2][15/61]|Tot: 0:00:21 |ETA: 0:00:00 |loss 7.0954 |hm_loss 4.1796 |wh_loss 27.4673 |off_loss 0.1691 |Data 0.676s(0.676s) |Net 1.353s
2
0
2
0
0
ctdet/coco_dla| train: [2][16/61]|Tot: 0:00:22 |ETA: 0:00:00 |loss 7.1807 |hm_loss 4.1971 |wh_loss 28.1011 |off_loss 0.1735 |Data 0.667s(0.675s) |Net 1.352s
0
1
3
1
2
1
0
0
ctdet/coco_dla| train: [2][17/61]|Tot: 0:00:24 |ETA: 0:00:00 |loss 7.2248 |hm_loss 4.1928 |wh_loss 28.5706 |off_loss 0.1750 |Data 0.677s(0.675s) |Net 1.352s
0
0
1
0
1
ctdet/coco_dla| train: [2][18/61]|Tot: 0:00:25 |ETA: 0:00:00 |loss 7.2140 |hm_loss 4.1558 |wh_loss 28.8669 |off_loss 0.1715 |Data 0.646s(0.674s) |Net 1.350s
1
2
0
1
3
ctdet/coco_dla| train: [2][19/61]|Tot: 0:00:27 |ETA: 0:00:00 |loss 7.1497 |hm_loss 4.1323 |wh_loss 28.4795 |off_loss 0.1695 |Data 0.683s(0.674s) |Net 1.351s
0
0
0
1
0
2
0
1
ctdet/coco_dla| train: [2][20/61]|Tot: 0:00:28 |ETA: 0:00:00 |loss 7.1876 |hm_loss 4.1240 |wh_loss 28.9457 |off_loss 0.1690 |Data 0.677s(0.674s) |Net 1.351s
1
0
1
0
ctdet/coco_dla| train: [2][21/61]|Tot: 0:00:29 |ETA: 0:00:00 |loss 7.1237 |hm_loss 4.1062 |wh_loss 28.5171 |off_loss 0.1658 |Data 0.682s(0.675s) |Net 1.351s
2
0
0
1
2
1
ctdet/coco_dla| train: [2][22/61]|Tot: 0:00:31 |ETA: 0:00:00 |loss 7.1436 |hm_loss 4.1077 |wh_loss 28.6797 |off_loss 0.1679 |Data 0.643s(0.673s) |Net 1.349s
1
0
1
1
1
1
ctdet/coco_dla| train: [2][23/61]|Tot: 0:00:32 |ETA: 0:00:00 |loss 7.0810 |hm_loss 4.0709 |wh_loss 28.4441 |off_loss 0.1657 |Data 0.644s(0.672s) |Net 1.348s
0
0
1
1
2
0
ctdet/coco_dla| train: [2][24/61]|Tot: 0:00:33 |ETA: 0:00:00 |loss 7.0504 |hm_loss 4.0397 |wh_loss 28.4566 |off_loss 0.1651 |Data 0.737s(0.675s) |Net 1.351s
3
0
0
0
ctdet/coco_dla| train: [2][25/61]|Tot: 0:00:35 |ETA: 0:00:00 |loss 7.0336 |hm_loss 4.0203 |wh_loss 28.4910 |off_loss 0.1642 |Data 0.685s(0.675s) |Net 1.351s
0
0
0
0
ctdet/coco_dla| train: [2][26/61]|Tot: 0:00:36 |ETA: 0:00:00 |loss 7.0665 |hm_loss 4.0360 |wh_loss 28.6671 |off_loss 0.1638 |Data 0.685s(0.675s) |Net 1.351s
1
2
0
ctdet/coco_dla| train: [2][27/61]|Tot: 0:00:37 |ETA: 0:00:00 |loss 7.0370 |hm_loss 4.0251 |wh_loss 28.4990 |off_loss 0.1620 |Data 0.680s(0.676s) |Net 1.351s
1
0
1
0
0
ctdet/coco_dla| train: [2][28/61]|Tot: 0:00:39 |ETA: 0:00:00 |loss 6.9997 |hm_loss 4.0014 |wh_loss 28.3571 |off_loss 0.1626 |Data 0.687s(0.676s) |Net 1.351s
0
1
1
1
ctdet/coco_dla| train: [2][29/61]|Tot: 0:00:40 |ETA: 0:00:00 |loss 6.9797 |hm_loss 3.9841 |wh_loss 28.3374 |off_loss 0.1619 |Data 0.679s(0.676s) |Net 1.351s
2
1
ctdet/coco_dla| train: [2][30/61]|Tot: 0:00:41 |ETA: 0:00:00 |loss 6.8924 |hm_loss 3.9494 |wh_loss 27.8399 |off_loss 0.1591 |Data 0.667s(0.676s) |Net 1.351s
0
2
0
0
0
1
1
0
ctdet/coco_dla| train: [2][31/61]|Tot: 0:00:43 |ETA: 0:00:00 |loss 6.9194 |hm_loss 3.9519 |wh_loss 28.0806 |off_loss 0.1594 |Data 0.661s(0.675s) |Net 1.351s
0
0
1
1
ctdet/coco_dla| train: [2][32/61]|Tot: 0:00:44 |ETA: 0:00:00 |loss 6.8808 |hm_loss 3.9355 |wh_loss 27.8511 |off_loss 0.1601 |Data 0.664s(0.675s) |Net 1.351s
0
0
2
0
1
ctdet/coco_dla| train: [2][33/61]|Tot: 0:00:45 |ETA: 0:00:00 |loss 6.8366 |hm_loss 3.9148 |wh_loss 27.6415 |off_loss 0.1576 |Data 0.694s(0.675s) |Net 1.352s
1
0
ctdet/coco_dla| train: [2][34/61]|Tot: 0:00:47 |ETA: 0:00:00 |loss 6.7361 |hm_loss 3.8842 |wh_loss 26.9678 |off_loss 0.1551 |Data 0.671s(0.675s) |Net 1.352s
0
1
2
0
3
ctdet/coco_dla| train: [2][35/61]|Tot: 0:00:48 |ETA: 0:00:00 |loss 6.6757 |hm_loss 3.8663 |wh_loss 26.5501 |off_loss 0.1544 |Data 0.679s(0.675s) |Net 1.352s
1
0
1
1
1
0
0
0
ctdet/coco_dla| train: [2][36/61]|Tot: 0:00:50 |ETA: 0:00:00 |loss 6.6996 |hm_loss 3.8662 |wh_loss 26.7777 |off_loss 0.1556 |Data 0.679s(0.676s) |Net 1.351s
2
0
0
1
0
0
1
ctdet/coco_dla| train: [2][37/61]|Tot: 0:00:51 |ETA: 0:00:00 |loss 6.7883 |hm_loss 3.8862 |wh_loss 27.4395 |off_loss 0.1581 |Data 0.677s(0.676s) |Net 1.351s
1
0
1
1
1
ctdet/coco_dla| train: [2][38/61]|Tot: 0:00:52 |ETA: 0:00:00 |loss 6.8174 |hm_loss 3.8909 |wh_loss 27.6862 |off_loss 0.1579 |Data 0.663s(0.675s) |Net 1.351s
0
1
ctdet/coco_dla| train: [2][39/61]|Tot: 0:00:54 |ETA: 0:00:00 |loss 6.7826 |hm_loss 3.8617 |wh_loss 27.6505 |off_loss 0.1558 |Data 0.682s(0.675s) |Net 1.351s
2
0
1
2
0
2
0
1
ctdet/coco_dla| train: [2][40/61]|Tot: 0:00:55 |ETA: 0:00:00 |loss 6.7404 |hm_loss 3.8392 |wh_loss 27.4542 |off_loss 0.1558 |Data 0.674s(0.675s) |Net 1.351s
0
ctdet/coco_dla| train: [2][41/61]|Tot: 0:00:56 |ETA: 0:00:00 |loss 6.6556 |hm_loss 3.7943 |wh_loss 27.0880 |off_loss 0.1525 |Data 0.661s(0.675s) |Net 1.352s
0
2
0
2
0
1
1
ctdet/coco_dla| train: [2][42/61]|Tot: 0:00:58 |ETA: 0:00:00 |loss 6.6285 |hm_loss 3.7758 |wh_loss 27.0087 |off_loss 0.1518 |Data 0.676s(0.675s) |Net 1.352s
2
0
1
ctdet/coco_dla| train: [2][43/61]|Tot: 0:00:59 |ETA: 0:00:00 |loss 6.6129 |hm_loss 3.7673 |wh_loss 26.9357 |off_loss 0.1521 |Data 0.662s(0.675s) |Net 1.351s
1
0
1
ctdet/coco_dla| train: [2][44/61]|Tot: 0:01:00 |ETA: 0:00:00 |loss 6.6078 |hm_loss 3.7582 |wh_loss 26.9716 |off_loss 0.1524 |Data 0.664s(0.675s) |Net 1.351s
1
1
1
ctdet/coco_dla| train: [2][45/61]|Tot: 0:01:02 |ETA: 0:00:00 |loss 6.5604 |hm_loss 3.7309 |wh_loss 26.7693 |off_loss 0.1526 |Data 0.676s(0.675s) |Net 1.351s
0
0
0
0
0
ctdet/coco_dla| train: [2][46/61]|Tot: 0:01:03 |ETA: 0:00:00 |loss 6.5308 |hm_loss 3.7154 |wh_loss 26.6291 |off_loss 0.1524 |Data 0.672s(0.675s) |Net 1.351s
0
2
0
1
0
ctdet/coco_dla| train: [2][47/61]|Tot: 0:01:04 |ETA: 0:00:00 |loss 6.4981 |hm_loss 3.7024 |wh_loss 26.4287 |off_loss 0.1529 |Data 0.672s(0.674s) |Net 1.351s
0
0
0
ctdet/coco_dla| train: [2][48/61]|Tot: 0:01:06 |ETA: 0:00:00 |loss 6.4744 |hm_loss 3.6945 |wh_loss 26.2845 |off_loss 0.1514 |Data 0.679s(0.675s) |Net 1.351s
2
3
0
0
1
0
ctdet/coco_dla| train: [2][49/61]|Tot: 0:01:07 |ETA: 0:00:00 |loss 6.4475 |hm_loss 3.6804 |wh_loss 26.1545 |off_loss 0.1516 |Data 0.695s(0.675s) |Net 1.351s
0
0
0
1
0
ctdet/coco_dla| train: [2][50/61]|Tot: 0:01:08 |ETA: 0:00:00 |loss 6.4450 |hm_loss 3.6691 |wh_loss 26.2356 |off_loss 0.1523 |Data 0.645s(0.674s) |Net 1.351s
0
3
1
0
0
0
ctdet/coco_dla| train: [2][51/61]|Tot: 0:01:10 |ETA: 0:00:00 |loss 6.4239 |hm_loss 3.6541 |wh_loss 26.1694 |off_loss 0.1528 |Data 0.668s(0.674s) |Net 1.351s
1
0
0
2
ctdet/coco_dla| train: [2][52/61]|Tot: 0:01:11 |ETA: 0:00:00 |loss 6.4254 |hm_loss 3.6442 |wh_loss 26.2894 |off_loss 0.1522 |Data 0.673s(0.674s) |Net 1.351s
3
0
0
0
0
2
ctdet/coco_dla| train: [2][53/61]|Tot: 0:01:12 |ETA: 0:00:00 |loss 6.4011 |hm_loss 3.6353 |wh_loss 26.1297 |off_loss 0.1528 |Data 0.701s(0.675s) |Net 1.351s
0
0
0
1
2
1
0
1
0
ctdet/coco_dla| train: [2][54/61]|Tot: 0:01:14 |ETA: 0:00:00 |loss 6.4069 |hm_loss 3.6331 |wh_loss 26.2000 |off_loss 0.1538 |Data 0.716s(0.675s) |Net 1.352s
0
0
1
0
ctdet/coco_dla| train: [2][55/61]|Tot: 0:01:15 |ETA: 0:00:00 |loss 6.4061 |hm_loss 3.6228 |wh_loss 26.2980 |off_loss 0.1535 |Data 0.665s(0.675s) |Net 1.352s
1
0
1
2
1
1
0
1
ctdet/coco_dla| train: [2][56/61]|Tot: 0:01:17 |ETA: 0:00:00 |loss 6.3966 |hm_loss 3.6235 |wh_loss 26.1796 |off_loss 0.1551 |Data 0.675s(0.675s) |Net 1.352s
0
0
1
0
2
0
ctdet/coco_dla| train: [2][57/61]|Tot: 0:01:18 |ETA: 0:00:00 |loss 6.4233 |hm_loss 3.6252 |wh_loss 26.4107 |off_loss 0.1570 |Data 0.672s(0.675s) |Net 1.352s
1
0
ctdet/coco_dla| train: [2][58/61]|Tot: 0:01:19 |ETA: 0:00:00 |loss 6.3680 |hm_loss 3.6049 |wh_loss 26.0756 |off_loss 0.1555 |Data 0.662s(0.675s) |Net 1.352s
1
0
1
0
1
ctdet/coco_dla| train: [2][59/61]|Tot: 0:01:21 |ETA: 0:00:00 |loss 6.3452 |hm_loss 3.5948 |wh_loss 25.9478 |off_loss 0.1556 |Data 0.665s(0.675s) |Net 1.352s
0
1
3
2
0
ctdet/coco_dla| train: [2][60/61]|Tot: 0:01:22 |ETA: 0:00:00 |loss 6.3282 |hm_loss 3.5839 |wh_loss 25.8901 |off_loss 0.1553 |Data 0.669s(0.675s) |Net 1.352s
0
2
1
1
2
ctdet/coco_dla| train: [3][0/61]|Tot: 0:00:01 |ETA: 0:00:00 |loss 6.0324 |hm_loss 3.7709 |wh_loss 20.6929 |off_loss 0.1922 |Data 0.684s(0.684s) |Net 1.359s
0
1
1
0
3
ctdet/coco_dla| train: [3][1/61]|Tot: 0:00:02 |ETA: 0:00:00 |loss 5.6076 |hm_loss 3.3727 |wh_loss 20.7310 |off_loss 0.1618 |Data 0.674s(0.679s) |Net 1.353s
1
0
1
1
2
0
ctdet/coco_dla| train: [3][2/61]|Tot: 0:00:04 |ETA: 0:00:00 |loss 5.9570 |hm_loss 3.4641 |wh_loss 23.0638 |off_loss 0.1865 |Data 0.680s(0.679s) |Net 1.355s
0
1
0
1
0
2
2
1
0
ctdet/coco_dla| train: [3][3/61]|Tot: 0:00:05 |ETA: 0:00:00 |loss 6.5862 |hm_loss 3.6837 |wh_loss 27.0346 |off_loss 0.1991 |Data 0.677s(0.679s) |Net 1.354s
2
0
0
0
0
2
2
0
ctdet/coco_dla| train: [3][4/61]|Tot: 0:00:06 |ETA: 0:00:00 |loss 6.5455 |hm_loss 3.6656 |wh_loss 26.7175 |off_loss 0.2081 |Data 0.662s(0.675s) |Net 1.350s
0
3
1
2
0
1
2
ctdet/coco_dla| train: [3][5/61]|Tot: 0:00:08 |ETA: 0:00:00 |loss 6.4757 |hm_loss 3.6756 |wh_loss 25.9339 |off_loss 0.2067 |Data 0.669s(0.674s) |Net 1.348s
0
1
0
0
0
1
0
ctdet/coco_dla| train: [3][6/61]|Tot: 0:00:09 |ETA: 0:00:00 |loss 6.5751 |hm_loss 3.6717 |wh_loss 26.9995 |off_loss 0.2034 |Data 0.677s(0.675s) |Net 1.357s
0
1
1
1
2
ctdet/coco_dla| train: [3][7/61]|Tot: 0:00:10 |ETA: 0:00:00 |loss 6.4882 |hm_loss 3.5725 |wh_loss 27.2231 |off_loss 0.1934 |Data 0.677s(0.675s) |Net 1.356s
0
0
0
2
1
0
ctdet/coco_dla| train: [3][8/61]|Tot: 0:00:12 |ETA: 0:00:00 |loss 6.6504 |hm_loss 3.5862 |wh_loss 28.6044 |off_loss 0.2037 |Data 0.658s(0.673s) |Net 1.353s
1
2
3
0
1
1
1
ctdet/coco_dla| train: [3][9/61]|Tot: 0:00:13 |ETA: 0:00:00 |loss 6.6197 |hm_loss 3.5873 |wh_loss 28.3316 |off_loss 0.1993 |Data 0.643s(0.670s) |Net 1.350s
0
1
0
2
1
ctdet/coco_dla| train: [3][10/61]|Tot: 0:00:14 |ETA: 0:00:00 |loss 6.7300 |hm_loss 3.6024 |wh_loss 29.2875 |off_loss 0.1989 |Data 0.667s(0.670s) |Net 1.349s
0
0
0
1
0
2
1
1
1
ctdet/coco_dla| train: [3][11/61]|Tot: 0:00:16 |ETA: 0:00:00 |loss 6.6361 |hm_loss 3.5932 |wh_loss 28.4270 |off_loss 0.2002 |Data 0.652s(0.668s) |Net 1.347s
0
1
0
ctdet/coco_dla| train: [3][12/61]|Tot: 0:00:17 |ETA: 0:00:00 |loss 6.4216 |hm_loss 3.4858 |wh_loss 27.3952 |off_loss 0.1963 |Data 0.674s(0.669s) |Net 1.347s
0
0
0
0
1
0
ctdet/coco_dla| train: [3][13/61]|Tot: 0:00:18 |ETA: 0:00:00 |loss 6.2701 |hm_loss 3.4488 |wh_loss 26.2787 |off_loss 0.1934 |Data 0.664s(0.669s) |Net 1.346s
1
1
0
0
1
ctdet/coco_dla| train: [3][14/61]|Tot: 0:00:20 |ETA: 0:00:00 |loss 6.0733 |hm_loss 3.3534 |wh_loss 25.2980 |off_loss 0.1900 |Data 0.752s(0.674s) |Net 1.352s
0
0
0
0
0
ctdet/coco_dla| train: [3][15/61]|Tot: 0:00:21 |ETA: 0:00:00 |loss 6.0412 |hm_loss 3.3235 |wh_loss 25.3161 |off_loss 0.1860 |Data 0.663s(0.673s) |Net 1.353s
1
0
0
ctdet/coco_dla| train: [3][16/61]|Tot: 0:00:22 |ETA: 0:00:00 |loss 5.8801 |hm_loss 3.2567 |wh_loss 24.4195 |off_loss 0.1814 |Data 0.650s(0.672s) |Net 1.351s
1
1
1
ctdet/coco_dla| train: [3][17/61]|Tot: 0:00:24 |ETA: 0:00:00 |loss 5.7247 |hm_loss 3.1960 |wh_loss 23.5205 |off_loss 0.1767 |Data 0.676s(0.672s) |Net 1.351s
0
0
0
2
1
ctdet/coco_dla| train: [3][18/61]|Tot: 0:00:25 |ETA: 0:00:00 |loss 5.7960 |hm_loss 3.2218 |wh_loss 23.9667 |off_loss 0.1775 |Data 0.682s(0.673s) |Net 1.352s
1
2
1
1
0
ctdet/coco_dla| train: [3][19/61]|Tot: 0:00:27 |ETA: 0:00:00 |loss 5.8753 |hm_loss 3.2434 |wh_loss 24.5258 |off_loss 0.1793 |Data 0.673s(0.673s) |Net 1.352s
1
0
0
0
1
1
ctdet/coco_dla| train: [3][20/61]|Tot: 0:00:28 |ETA: 0:00:00 |loss 5.8035 |hm_loss 3.2246 |wh_loss 23.9906 |off_loss 0.1798 |Data 0.672s(0.673s) |Net 1.351s
0
1
0
2
1
ctdet/coco_dla| train: [3][21/61]|Tot: 0:00:29 |ETA: 0:00:00 |loss 5.7232 |hm_loss 3.1712 |wh_loss 23.7624 |off_loss 0.1758 |Data 0.674s(0.673s) |Net 1.351s
1
0
1
0
0
0
2
0
ctdet/coco_dla| train: [3][22/61]|Tot: 0:00:31 |ETA: 0:00:00 |loss 5.8565 |hm_loss 3.2224 |wh_loss 24.5494 |off_loss 0.1791 |Data 0.669s(0.673s) |Net 1.351s
0
1
0
1
0
0
ctdet/coco_dla| train: [3][23/61]|Tot: 0:00:32 |ETA: 0:00:00 |loss 5.7811 |hm_loss 3.1780 |wh_loss 24.2801 |off_loss 0.1752 |Data 0.724s(0.675s) |Net 1.353s
1
0
ctdet/coco_dla| train: [3][24/61]|Tot: 0:00:33 |ETA: 0:00:00 |loss 5.7177 |hm_loss 3.1393 |wh_loss 24.0611 |off_loss 0.1724 |Data 0.677s(0.675s) |Net 1.355s
0
ctdet/coco_dla| train: [3][25/61]|Tot: 0:00:35 |ETA: 0:00:00 |loss 5.5623 |hm_loss 3.0753 |wh_loss 23.2012 |off_loss 0.1669 |Data 0.658s(0.674s) |Net 1.354s
1
1
ctdet/coco_dla| train: [3][26/61]|Tot: 0:00:36 |ETA: 0:00:00 |loss 5.4950 |hm_loss 3.0426 |wh_loss 22.8811 |off_loss 0.1642 |Data 0.663s(0.674s) |Net 1.353s
1
0
0
0
1
ctdet/coco_dla| train: [3][27/61]|Tot: 0:00:37 |ETA: 0:00:00 |loss 5.5746 |hm_loss 3.0655 |wh_loss 23.4095 |off_loss 0.1681 |Data 0.663s(0.673s) |Net 1.353s
0
0
1
2
1
1
ctdet/coco_dla| train: [3][28/61]|Tot: 0:00:39 |ETA: 0:00:00 |loss 5.5657 |hm_loss 3.0843 |wh_loss 23.1250 |off_loss 0.1689 |Data 0.666s(0.673s) |Net 1.352s
0
ctdet/coco_dla| train: [3][29/61]|Tot: 0:00:40 |ETA: 0:00:00 |loss 5.4383 |hm_loss 3.0292 |wh_loss 22.4576 |off_loss 0.1633 |Data 0.658s(0.673s) |Net 1.351s
1
0
0
0
ctdet/coco_dla| train: [3][30/61]|Tot: 0:00:41 |ETA: 0:00:00 |loss 5.4429 |hm_loss 3.0261 |wh_loss 22.5363 |off_loss 0.1632 |Data 0.667s(0.672s) |Net 1.351s
2
0
3
0
0
0
ctdet/coco_dla| train: [3][31/61]|Tot: 0:00:43 |ETA: 0:00:00 |loss 5.3660 |hm_loss 2.9947 |wh_loss 22.0964 |off_loss 0.1616 |Data 0.687s(0.673s) |Net 1.351s
2
0
0
2
3
1
0
ctdet/coco_dla| train: [3][32/61]|Tot: 0:00:44 |ETA: 0:00:00 |loss 5.4626 |hm_loss 3.0349 |wh_loss 22.6076 |off_loss 0.1669 |Data 0.830s(0.678s) |Net 1.356s
0
1
1
1
2
0
0
2
0
ctdet/coco_dla| train: [3][33/61]|Tot: 0:00:46 |ETA: 0:00:00 |loss 5.4907 |hm_loss 3.0695 |wh_loss 22.5190 |off_loss 0.1693 |Data 0.659s(0.677s) |Net 1.357s
0
1
0
0
1
0
0
ctdet/coco_dla| train: [3][34/61]|Tot: 0:00:47 |ETA: 0:00:00 |loss 5.5028 |hm_loss 3.0811 |wh_loss 22.4891 |off_loss 0.1727 |Data 0.759s(0.680s) |Net 1.360s
0
1
3
0
1
ctdet/coco_dla| train: [3][35/61]|Tot: 0:00:48 |ETA: 0:00:00 |loss 5.4851 |hm_loss 3.0732 |wh_loss 22.3997 |off_loss 0.1720 |Data 0.669s(0.679s) |Net 1.359s
0
0
1
0
ctdet/coco_dla| train: [3][36/61]|Tot: 0:00:50 |ETA: 0:00:00 |loss 5.5324 |hm_loss 3.0882 |wh_loss 22.6602 |off_loss 0.1782 |Data 0.670s(0.679s) |Net 1.359s
1
0
0
0
1
ctdet/coco_dla| train: [3][37/61]|Tot: 0:00:51 |ETA: 0:00:00 |loss 5.5348 |hm_loss 3.1012 |wh_loss 22.5559 |off_loss 0.1780 |Data 0.691s(0.679s) |Net 1.359s
2
2
0
1
0
0
ctdet/coco_dla| train: [3][38/61]|Tot: 0:00:52 |ETA: 0:00:00 |loss 5.5180 |hm_loss 3.0950 |wh_loss 22.4418 |off_loss 0.1788 |Data 0.687s(0.680s) |Net 1.359s
1
0
1
0
0
0
ctdet/coco_dla| train: [3][39/61]|Tot: 0:00:54 |ETA: 0:00:00 |loss 5.5360 |hm_loss 3.1070 |wh_loss 22.4937 |off_loss 0.1796 |Data 0.659s(0.679s) |Net 1.358s
0
1
0
2
ctdet/coco_dla| train: [3][40/61]|Tot: 0:00:55 |ETA: 0:00:00 |loss 5.5017 |hm_loss 3.1000 |wh_loss 22.2214 |off_loss 0.1796 |Data 0.626s(0.678s) |Net 1.357s
1
1
ctdet/coco_dla| train: [3][41/61]|Tot: 0:00:56 |ETA: 0:00:00 |loss 5.4145 |hm_loss 3.0571 |wh_loss 21.8085 |off_loss 0.1765 |Data 0.635s(0.677s) |Net 1.356s
0
2
2
0
1
2
ctdet/coco_dla| train: [3][42/61]|Tot: 0:00:58 |ETA: 0:00:00 |loss 5.4215 |hm_loss 3.0675 |wh_loss 21.7706 |off_loss 0.1769 |Data 0.672s(0.677s) |Net 1.357s
0
3
0
0
ctdet/coco_dla| train: [3][43/61]|Tot: 0:00:59 |ETA: 0:00:00 |loss 5.4403 |hm_loss 3.0811 |wh_loss 21.8130 |off_loss 0.1779 |Data 0.645s(0.676s) |Net 1.356s
1
1
0
0
1
3
0
ctdet/coco_dla| train: [3][44/61]|Tot: 0:01:01 |ETA: 0:00:00 |loss 5.4327 |hm_loss 3.0714 |wh_loss 21.8404 |off_loss 0.1773 |Data 0.677s(0.676s) |Net 1.356s
0
1
0
2
ctdet/coco_dla| train: [3][45/61]|Tot: 0:01:02 |ETA: 0:00:00 |loss 5.3777 |hm_loss 3.0478 |wh_loss 21.5371 |off_loss 0.1761 |Data 0.658s(0.675s) |Net 1.355s
0
1
ctdet/coco_dla| train: [3][46/61]|Tot: 0:01:03 |ETA: 0:00:00 |loss 5.3031 |hm_loss 3.0101 |wh_loss 21.1932 |off_loss 0.1737 |Data 0.668s(0.675s) |Net 1.355s
0
0
1
1
0
ctdet/coco_dla| train: [3][47/61]|Tot: 0:01:05 |ETA: 0:00:00 |loss 5.3141 |hm_loss 3.0213 |wh_loss 21.1873 |off_loss 0.1741 |Data 0.657s(0.675s) |Net 1.354s
1
0
ctdet/coco_dla| train: [3][48/61]|Tot: 0:01:06 |ETA: 0:00:00 |loss 5.3002 |hm_loss 3.0029 |wh_loss 21.2473 |off_loss 0.1726 |Data 0.785s(0.677s) |Net 1.357s
0
0
0
1
0
0
ctdet/coco_dla| train: [3][49/61]|Tot: 0:01:07 |ETA: 0:00:00 |loss 5.3190 |hm_loss 3.0151 |wh_loss 21.2988 |off_loss 0.1741 |Data 0.671s(0.677s) |Net 1.357s
0
0
0
1
0
0
1
ctdet/coco_dla| train: [3][50/61]|Tot: 0:01:09 |ETA: 0:00:00 |loss 5.3472 |hm_loss 3.0257 |wh_loss 21.4699 |off_loss 0.1745 |Data 0.673s(0.677s) |Net 1.356s
0
1
1
1
1
0
ctdet/coco_dla| train: [3][51/61]|Tot: 0:01:10 |ETA: 0:00:00 |loss 5.3326 |hm_loss 3.0204 |wh_loss 21.3796 |off_loss 0.1742 |Data 0.666s(0.677s) |Net 1.357s
0
0
2
1
1
0
2
ctdet/coco_dla| train: [3][52/61]|Tot: 0:01:11 |ETA: 0:00:00 |loss 5.3411 |hm_loss 3.0298 |wh_loss 21.3630 |off_loss 0.1750 |Data 0.659s(0.676s) |Net 1.357s
0
1
1
0
1
ctdet/coco_dla| train: [3][53/61]|Tot: 0:01:13 |ETA: 0:00:00 |loss 5.3236 |hm_loss 3.0246 |wh_loss 21.2502 |off_loss 0.1740 |Data 0.660s(0.676s) |Net 1.356s
0
1
ctdet/coco_dla| train: [3][54/61]|Tot: 0:01:14 |ETA: 0:00:00 |loss 5.2786 |hm_loss 3.0075 |wh_loss 20.9885 |off_loss 0.1723 |Data 0.663s(0.676s) |Net 1.356s
2
1
2
0
1
0
3
ctdet/coco_dla| train: [3][55/61]|Tot: 0:01:15 |ETA: 0:00:00 |loss 5.2588 |hm_loss 3.0012 |wh_loss 20.8595 |off_loss 0.1717 |Data 0.676s(0.676s) |Net 1.356s
0
1
1
2
0
1
ctdet/coco_dla| train: [3][56/61]|Tot: 0:01:17 |ETA: 0:00:00 |loss 5.2544 |hm_loss 2.9971 |wh_loss 20.8538 |off_loss 0.1719 |Data 0.658s(0.676s) |Net 1.356s
2
0
2
0
ctdet/coco_dla| train: [3][57/61]|Tot: 0:01:18 |ETA: 0:00:00 |loss 5.1973 |hm_loss 2.9664 |wh_loss 20.6099 |off_loss 0.1699 |Data 0.674s(0.676s) |Net 1.356s
0
0
0
0
2
1
ctdet/coco_dla| train: [3][58/61]|Tot: 0:01:20 |ETA: 0:00:00 |loss 5.1977 |hm_loss 2.9629 |wh_loss 20.6504 |off_loss 0.1698 |Data 0.703s(0.676s) |Net 1.356s
0
0
2
0
2
ctdet/coco_dla| train: [3][59/61]|Tot: 0:01:21 |ETA: 0:00:00 |loss 5.2520 |hm_loss 2.9866 |wh_loss 20.9399 |off_loss 0.1714 |Data 0.669s(0.676s) |Net 1.356s
1
3
0
0
ctdet/coco_dla| train: [3][60/61]|Tot: 0:01:22 |ETA: 0:00:00 |loss 5.2448 |hm_loss 2.9847 |wh_loss 20.8921 |off_loss 0.1708 |Data 0.701s(0.676s) |Net 1.357s
0
0
0
0
2
ctdet/coco_dla| train: [4][0/61]|Tot: 0:00:01 |ETA: 0:00:00 |loss 6.8391 |hm_loss 3.5569 |wh_loss 30.5758 |off_loss 0.2246 |Data 0.654s(0.654s) |Net 1.328s
1
2
0
0
1
1
0
ctdet/coco_dla| train: [4][1/61]|Tot: 0:00:02 |ETA: 0:00:00 |loss 5.8781 |hm_loss 3.5141 |wh_loss 21.3636 |off_loss 0.2276 |Data 0.644s(0.649s) |Net 1.322s
0
1
ctdet/coco_dla| train: [4][2/61]|Tot: 0:00:04 |ETA: 0:00:00 |loss 5.0385 |hm_loss 3.0320 |wh_loss 18.1421 |off_loss 0.1923 |Data 0.685s(0.661s) |Net 1.335s
1
0
2
2
2
ctdet/coco_dla| train: [4][3/61]|Tot: 0:00:05 |ETA: 0:00:00 |loss 4.8915 |hm_loss 2.9558 |wh_loss 17.5188 |off_loss 0.1838 |Data 0.739s(0.681s) |Net 1.354s
1
0
0
1
ctdet/coco_dla| train: [4][4/61]|Tot: 0:00:06 |ETA: 0:00:00 |loss 4.5493 |hm_loss 2.7538 |wh_loss 16.2880 |off_loss 0.1667 |Data 0.717s(0.688s) |Net 1.362s
2
2
0
0
1
ctdet/coco_dla| train: [4][5/61]|Tot: 0:00:08 |ETA: 0:00:00 |loss 4.7698 |hm_loss 2.8832 |wh_loss 17.1313 |off_loss 0.1735 |Data 0.664s(0.684s) |Net 1.358s
0
0
3
0
0
ctdet/coco_dla| train: [4][6/61]|Tot: 0:00:09 |ETA: 0:00:00 |loss 4.7892 |hm_loss 2.8584 |wh_loss 17.5785 |off_loss 0.1730 |Data 0.633s(0.677s) |Net 1.351s
1
0
1
0
0
1
0
0
ctdet/coco_dla| train: [4][7/61]|Tot: 0:00:10 |ETA: 0:00:00 |loss 4.9306 |hm_loss 2.9295 |wh_loss 18.2066 |off_loss 0.1804 |Data 0.701s(0.680s) |Net 1.359s
1
2
0
0
ctdet/coco_dla| train: [4][8/61]|Tot: 0:00:12 |ETA: 0:00:00 |loss 4.9367 |hm_loss 2.9106 |wh_loss 18.4361 |off_loss 0.1825 |Data 0.678s(0.680s) |Net 1.359s
1
0
0
1
1
ctdet/coco_dla| train: [4][9/61]|Tot: 0:00:13 |ETA: 0:00:00 |loss 4.9380 |hm_loss 2.9775 |wh_loss 17.7603 |off_loss 0.1845 |Data 0.734s(0.685s) |Net 1.364s
1
1
1
ctdet/coco_dla| train: [4][10/61]|Tot: 0:00:15 |ETA: 0:00:00 |loss 4.8249 |hm_loss 2.8878 |wh_loss 17.5894 |off_loss 0.1781 |Data 0.686s(0.685s) |Net 1.364s
2
1
1
0
0
1
3
1
1
0
ctdet/coco_dla| train: [4][11/61]|Tot: 0:00:16 |ETA: 0:00:00 |loss 4.7881 |hm_loss 2.8589 |wh_loss 17.5415 |off_loss 0.1751 |Data 0.694s(0.686s) |Net 1.364s
0
0
ctdet/coco_dla| train: [4][12/61]|Tot: 0:00:17 |ETA: 0:00:00 |loss 4.7006 |hm_loss 2.8004 |wh_loss 17.3104 |off_loss 0.1691 |Data 0.698s(0.687s) |Net 1.365s
1
1
0
1
1
0
0
0
0
ctdet/coco_dla| train: [4][13/61]|Tot: 0:00:19 |ETA: 0:00:00 |loss 4.8060 |hm_loss 2.8431 |wh_loss 17.9371 |off_loss 0.1692 |Data 0.687s(0.687s) |Net 1.365s
1
ctdet/coco_dla| train: [4][14/61]|Tot: 0:00:20 |ETA: 0:00:00 |loss 4.5913 |hm_loss 2.7391 |wh_loss 16.9356 |off_loss 0.1586 |Data 0.694s(0.687s) |Net 1.365s
0
0
0
2
2
3
ctdet/coco_dla| train: [4][15/61]|Tot: 0:00:21 |ETA: 0:00:00 |loss 4.6717 |hm_loss 2.7872 |wh_loss 17.2070 |off_loss 0.1639 |Data 0.686s(0.687s) |Net 1.365s
0
0
1
0
1
1
ctdet/coco_dla| train: [4][16/61]|Tot: 0:00:23 |ETA: 0:00:00 |loss 4.7666 |hm_loss 2.8281 |wh_loss 17.7448 |off_loss 0.1640 |Data 0.694s(0.688s) |Net 1.368s
0
1
ctdet/coco_dla| train: [4][17/61]|Tot: 0:00:24 |ETA: 0:00:00 |loss 4.6937 |hm_loss 2.7840 |wh_loss 17.5051 |off_loss 0.1592 |Data 0.682s(0.687s) |Net 1.367s
1
0
2
3
0
0
ctdet/coco_dla| train: [4][18/61]|Tot: 0:00:25 |ETA: 0:00:00 |loss 4.6557 |hm_loss 2.7804 |wh_loss 17.1700 |off_loss 0.1583 |Data 0.686s(0.687s) |Net 1.367s
1
1
2
0
1
ctdet/coco_dla| train: [4][19/61]|Tot: 0:00:27 |ETA: 0:00:00 |loss 4.6864 |hm_loss 2.7766 |wh_loss 17.5303 |off_loss 0.1568 |Data 0.728s(0.689s) |Net 1.368s
0
1
2
ctdet/coco_dla| train: [4][20/61]|Tot: 0:00:28 |ETA: 0:00:00 |loss 4.6533 |hm_loss 2.7814 |wh_loss 17.1836 |off_loss 0.1536 |Data 0.689s(0.689s) |Net 1.368s
1
1
0
0
2
ctdet/coco_dla| train: [4][21/61]|Tot: 0:00:30 |ETA: 0:00:00 |loss 4.6199 |hm_loss 2.7762 |wh_loss 16.9230 |off_loss 0.1514 |Data 0.679s(0.689s) |Net 1.368s
0
1
1
0
2
ctdet/coco_dla| train: [4][22/61]|Tot: 0:00:31 |ETA: 0:00:00 |loss 4.5436 |hm_loss 2.7405 |wh_loss 16.5332 |off_loss 0.1498 |Data 0.699s(0.689s) |Net 1.368s
2
1
ctdet/coco_dla| train: [4][23/61]|Tot: 0:00:32 |ETA: 0:00:00 |loss 4.4846 |hm_loss 2.7148 |wh_loss 16.2267 |off_loss 0.1471 |Data 0.684s(0.689s) |Net 1.368s
0
1
1
0
2
1
1
0
ctdet/coco_dla| train: [4][24/61]|Tot: 0:00:34 |ETA: 0:00:00 |loss 4.5460 |hm_loss 2.7403 |wh_loss 16.5785 |off_loss 0.1478 |Data 0.697s(0.689s) |Net 1.368s
0
0
1
1
0
ctdet/coco_dla| train: [4][25/61]|Tot: 0:00:35 |ETA: 0:00:00 |loss 4.5998 |hm_loss 2.7695 |wh_loss 16.7973 |off_loss 0.1506 |Data 0.693s(0.689s) |Net 1.369s
0
1
ctdet/coco_dla| train: [4][26/61]|Tot: 0:00:36 |ETA: 0:00:00 |loss 4.5035 |hm_loss 2.7115 |wh_loss 16.4486 |off_loss 0.1472 |Data 0.684s(0.689s) |Net 1.369s
0
0
0
0
0
2
ctdet/coco_dla| train: [4][27/61]|Tot: 0:00:38 |ETA: 0:00:00 |loss 4.5594 |hm_loss 2.7367 |wh_loss 16.7351 |off_loss 0.1491 |Data 0.705s(0.690s) |Net 1.370s
0
1
0
1
2
1
0
0
1
ctdet/coco_dla| train: [4][28/61]|Tot: 0:00:39 |ETA: 0:00:00 |loss 4.6520 |hm_loss 2.7863 |wh_loss 17.1235 |off_loss 0.1533 |Data 0.699s(0.690s) |Net 1.370s
0
0
0
1
0
0
0
ctdet/coco_dla| train: [4][29/61]|Tot: 0:00:41 |ETA: 0:00:00 |loss 4.7060 |hm_loss 2.8055 |wh_loss 17.4476 |off_loss 0.1558 |Data 0.690s(0.690s) |Net 1.369s
3
0
2
2
ctdet/coco_dla| train: [4][30/61]|Tot: 0:00:42 |ETA: 0:00:00 |loss 4.6545 |hm_loss 2.7777 |wh_loss 17.2332 |off_loss 0.1535 |Data 0.700s(0.690s) |Net 1.370s
0
2
1
1
0
1
ctdet/coco_dla| train: [4][31/61]|Tot: 0:00:43 |ETA: 0:00:00 |loss 4.6660 |hm_loss 2.8007 |wh_loss 17.0931 |off_loss 0.1560 |Data 0.736s(0.692s) |Net 1.371s
2
0
0
ctdet/coco_dla| train: [4][32/61]|Tot: 0:00:45 |ETA: 0:00:00 |loss 4.5836 |hm_loss 2.7523 |wh_loss 16.7896 |off_loss 0.1524 |Data 0.693s(0.692s) |Net 1.371s
1
1
ctdet/coco_dla| train: [4][33/61]|Tot: 0:00:46 |ETA: 0:00:00 |loss 4.5688 |hm_loss 2.7329 |wh_loss 16.8574 |off_loss 0.1501 |Data 0.691s(0.692s) |Net 1.371s
0
0
ctdet/coco_dla| train: [4][34/61]|Tot: 0:00:48 |ETA: 0:00:00 |loss 4.4943 |hm_loss 2.6883 |wh_loss 16.5859 |off_loss 0.1475 |Data 0.741s(0.693s) |Net 1.373s
2
0
ctdet/coco_dla| train: [4][35/61]|Tot: 0:00:49 |ETA: 0:00:00 |loss 4.4538 |hm_loss 2.6679 |wh_loss 16.3926 |off_loss 0.1467 |Data 0.686s(0.693s) |Net 1.373s
1
1
0
ctdet/coco_dla| train: [4][36/61]|Tot: 0:00:50 |ETA: 0:00:00 |loss 4.4481 |hm_loss 2.6717 |wh_loss 16.2840 |off_loss 0.1480 |Data 0.695s(0.693s) |Net 1.373s
1
0
1
0
2
2
1
0
1
0
ctdet/coco_dla| train: [4][37/61]|Tot: 0:00:52 |ETA: 0:00:00 |loss 4.4559 |hm_loss 2.6882 |wh_loss 16.1834 |off_loss 0.1493 |Data 0.687s(0.693s) |Net 1.373s
0
0
2
2
2
0
0
ctdet/coco_dla| train: [4][38/61]|Tot: 0:00:53 |ETA: 0:00:00 |loss 4.4517 |hm_loss 2.6887 |wh_loss 16.1300 |off_loss 0.1500 |Data 0.681s(0.693s) |Net 1.372s
0
1
ctdet/coco_dla| train: [4][39/61]|Tot: 0:00:54 |ETA: 0:00:00 |loss 4.3815 |hm_loss 2.6516 |wh_loss 15.8260 |off_loss 0.1473 |Data 0.686s(0.692s) |Net 1.372s
0
0
0
ctdet/coco_dla| train: [4][40/61]|Tot: 0:00:56 |ETA: 0:00:00 |loss 4.3806 |hm_loss 2.6542 |wh_loss 15.7903 |off_loss 0.1473 |Data 0.735s(0.694s) |Net 1.373s
0
0
0
1
1
0
ctdet/coco_dla| train: [4][41/61]|Tot: 0:00:57 |ETA: 0:00:00 |loss 4.3622 |hm_loss 2.6534 |wh_loss 15.6104 |off_loss 0.1478 |Data 0.684s(0.693s) |Net 1.372s
1
2
0
0
0
0
ctdet/coco_dla| train: [4][42/61]|Tot: 0:00:59 |ETA: 0:00:00 |loss 4.4118 |hm_loss 2.6687 |wh_loss 15.9339 |off_loss 0.1497 |Data 0.693s(0.693s) |Net 1.372s
2
0
0
1
ctdet/coco_dla| train: [4][43/61]|Tot: 0:01:00 |ETA: 0:00:00 |loss 4.3941 |hm_loss 2.6686 |wh_loss 15.7519 |off_loss 0.1503 |Data 0.675s(0.693s) |Net 1.372s
1
0
0
ctdet/coco_dla| train: [4][44/61]|Tot: 0:01:01 |ETA: 0:00:00 |loss 4.3854 |hm_loss 2.6705 |wh_loss 15.6405 |off_loss 0.1508 |Data 0.697s(0.693s) |Net 1.372s
2
2
0
0
ctdet/coco_dla| train: [4][45/61]|Tot: 0:01:03 |ETA: 0:00:00 |loss 4.4322 |hm_loss 2.6893 |wh_loss 15.8975 |off_loss 0.1531 |Data 0.695s(0.693s) |Net 1.372s
ctdet/coco_dla| train: [4][46/61]|Tot: 0:01:04 |ETA: 0:00:00 |loss 4.3483 |hm_loss 2.6425 |wh_loss 15.5593 |off_loss 0.1499 |Data 0.690s(0.693s) |Net 1.372s
0
0
0
1
1
1
0
ctdet/coco_dla| train: [4][47/61]|Tot: 0:01:05 |ETA: 0:00:00 |loss 4.3374 |hm_loss 2.6422 |wh_loss 15.4524 |off_loss 0.1499 |Data 0.674s(0.693s) |Net 1.371s
0
3
1
1
2
0
ctdet/coco_dla| train: [4][48/61]|Tot: 0:01:07 |ETA: 0:00:00 |loss 4.3623 |hm_loss 2.6564 |wh_loss 15.5479 |off_loss 0.1511 |Data 0.696s(0.693s) |Net 1.371s
0
0
0
1
0
1
0
0
2
ctdet/coco_dla| train: [4][49/61]|Tot: 0:01:08 |ETA: 0:00:00 |loss 4.3505 |hm_loss 2.6558 |wh_loss 15.4359 |off_loss 0.1511 |Data 0.686s(0.693s) |Net 1.371s
2
0
0
0
ctdet/coco_dla| train: [4][50/61]|Tot: 0:01:09 |ETA: 0:00:00 |loss 4.3875 |hm_loss 2.6727 |wh_loss 15.6186 |off_loss 0.1530 |Data 0.689s(0.692s) |Net 1.371s
0
1
1
ctdet/coco_dla| train: [4][51/61]|Tot: 0:01:11 |ETA: 0:00:00 |loss 4.3560 |hm_loss 2.6596 |wh_loss 15.4423 |off_loss 0.1521 |Data 0.685s(0.692s) |Net 1.372s
0
1
1
0
0
0
0
0
1
ctdet/coco_dla| train: [4][52/61]|Tot: 0:01:12 |ETA: 0:00:00 |loss 4.3716 |hm_loss 2.6732 |wh_loss 15.4435 |off_loss 0.1541 |Data 0.728s(0.693s) |Net 1.372s
0
1
1
0
ctdet/coco_dla| train: [4][53/61]|Tot: 0:01:14 |ETA: 0:00:00 |loss 4.3641 |hm_loss 2.6754 |wh_loss 15.3470 |off_loss 0.1540 |Data 0.681s(0.693s) |Net 1.372s
0
2
0
0
3
2
ctdet/coco_dla| train: [4][54/61]|Tot: 0:01:15 |ETA: 0:00:00 |loss 4.4076 |hm_loss 2.7065 |wh_loss 15.4402 |off_loss 0.1571 |Data 0.685s(0.693s) |Net 1.372s
1
1
1
0
1
ctdet/coco_dla| train: [4][55/61]|Tot: 0:01:16 |ETA: 0:00:00 |loss 4.4201 |hm_loss 2.7056 |wh_loss 15.5608 |off_loss 0.1584 |Data 0.675s(0.692s) |Net 1.371s
1
0
1
1
1
2
ctdet/coco_dla| train: [4][56/61]|Tot: 0:01:18 |ETA: 0:00:00 |loss 4.4403 |hm_loss 2.7189 |wh_loss 15.6205 |off_loss 0.1593 |Data 0.680s(0.692s) |Net 1.371s
3
2
1
0
ctdet/coco_dla| train: [4][57/61]|Tot: 0:01:19 |ETA: 0:00:00 |loss 4.4279 |hm_loss 2.7178 |wh_loss 15.5112 |off_loss 0.1590 |Data 0.688s(0.692s) |Net 1.371s
0
0
1
0
1
ctdet/coco_dla| train: [4][58/61]|Tot: 0:01:20 |ETA: 0:00:00 |loss 4.4614 |hm_loss 2.7296 |wh_loss 15.7163 |off_loss 0.1602 |Data 0.697s(0.692s) |Net 1.371s
0
1
2
0
ctdet/coco_dla| train: [4][59/61]|Tot: 0:01:22 |ETA: 0:00:00 |loss 4.4774 |hm_loss 2.7436 |wh_loss 15.7253 |off_loss 0.1613 |Data 0.694s(0.692s) |Net 1.371s
1
0
1
1
ctdet/coco_dla| train: [4][60/61]|Tot: 0:01:23 |ETA: 0:00:00 |loss 4.4840 |hm_loss 2.7420 |wh_loss 15.8181 |off_loss 0.1601 |Data 0.688s(0.692s) |Net 1.372s
2
1
0
1
ctdet/coco_dla| train: [5][0/61]|Tot: 0:00:01 |ETA: 0:00:00 |loss 6.2810 |hm_loss 3.4552 |wh_loss 26.6255 |off_loss 0.1633 |Data 0.691s(0.691s) |Net 1.400s
2
1
0
0
1
ctdet/coco_dla| train: [5][1/61]|Tot: 0:00:02 |ETA: 0:00:00 |loss 4.6292 |hm_loss 2.6923 |wh_loss 18.0613 |off_loss 0.1308 |Data 0.686s(0.689s) |Net 1.382s
0
0
0
1
0
1
1
1
0
ctdet/coco_dla| train: [5][2/61]|Tot: 0:00:04 |ETA: 0:00:00 |loss 5.0069 |hm_loss 2.8899 |wh_loss 19.5087 |off_loss 0.1661 |Data 0.689s(0.689s) |Net 1.377s
1
0
0
0
0
ctdet/coco_dla| train: [5][3/61]|Tot: 0:00:05 |ETA: 0:00:00 |loss 5.1853 |hm_loss 3.0480 |wh_loss 19.5032 |off_loss 0.1870 |Data 0.667s(0.683s) |Net 1.369s
0
1
0
1
1
ctdet/coco_dla| train: [5][4/61]|Tot: 0:00:06 |ETA: 0:00:00 |loss 5.0112 |hm_loss 2.9411 |wh_loss 18.8552 |off_loss 0.1846 |Data 0.684s(0.683s) |Net 1.367s
1
0
0
2
2
1
0
ctdet/coco_dla| train: [5][5/61]|Tot: 0:00:08 |ETA: 0:00:00 |loss 4.7808 |hm_loss 2.8660 |wh_loss 17.3692 |off_loss 0.1778 |Data 0.664s(0.680s) |Net 1.361s
0
0
2
ctdet/coco_dla| train: [5][6/61]|Tot: 0:00:09 |ETA: 0:00:00 |loss 4.4994 |hm_loss 2.7323 |wh_loss 15.9489 |off_loss 0.1722 |Data 0.677s(0.680s) |Net 1.359s
2
1
0
0
2
ctdet/coco_dla| train: [5][7/61]|Tot: 0:00:10 |ETA: 0:00:00 |loss 4.2881 |hm_loss 2.6240 |wh_loss 15.0307 |off_loss 0.1611 |Data 0.677s(0.679s) |Net 1.358s
0
2
1
1
ctdet/coco_dla| train: [5][8/61]|Tot: 0:00:12 |ETA: 0:00:00 |loss 4.1517 |hm_loss 2.5500 |wh_loss 14.4800 |off_loss 0.1538 |Data 0.694s(0.681s) |Net 1.364s
0
2
0
1
ctdet/coco_dla| train: [5][9/61]|Tot: 0:00:13 |ETA: 0:00:00 |loss 4.2940 |hm_loss 2.6545 |wh_loss 14.7839 |off_loss 0.1611 |Data 0.693s(0.682s) |Net 1.364s
1
1
0
0
2
ctdet/coco_dla| train: [5][10/61]|Tot: 0:00:15 |ETA: 0:00:00 |loss 4.3365 |hm_loss 2.6613 |wh_loss 15.0804 |off_loss 0.1671 |Data 0.688s(0.683s) |Net 1.364s
1
0
0
ctdet/coco_dla| train: [5][11/61]|Tot: 0:00:16 |ETA: 0:00:00 |loss 4.2523 |hm_loss 2.6054 |wh_loss 14.8332 |off_loss 0.1636 |Data 0.686s(0.683s) |Net 1.364s
0
0
0
1
0
0
ctdet/coco_dla| train: [5][12/61]|Tot: 0:00:17 |ETA: 0:00:00 |loss 4.3845 |hm_loss 2.6711 |wh_loss 15.4698 |off_loss 0.1664 |Data 0.679s(0.683s) |Net 1.363s
0
1
0
0
0
ctdet/coco_dla| train: [5][13/61]|Tot: 0:00:19 |ETA: 0:00:00 |loss 4.5067 |hm_loss 2.7268 |wh_loss 16.1049 |off_loss 0.1694 |Data 0.679s(0.682s) |Net 1.362s
0
2
1
2
0
ctdet/coco_dla| train: [5][14/61]|Tot: 0:00:20 |ETA: 0:00:00 |loss 4.5418 |hm_loss 2.7719 |wh_loss 16.0079 |off_loss 0.1691 |Data 0.678s(0.682s) |Net 1.361s
0
0
2
3
ctdet/coco_dla| train: [5][15/61]|Tot: 0:00:21 |ETA: 0:00:00 |loss 4.6611 |hm_loss 2.8166 |wh_loss 16.7744 |off_loss 0.1671 |Data 0.746s(0.686s) |Net 1.365s
0
1
0
1
ctdet/coco_dla| train: [5][16/61]|Tot: 0:00:23 |ETA: 0:00:00 |loss 4.5023 |hm_loss 2.7201 |wh_loss 16.2085 |off_loss 0.1614 |Data 0.671s(0.685s) |Net 1.364s
1
0
0
ctdet/coco_dla| train: [5][17/61]|Tot: 0:00:24 |ETA: 0:00:00 |loss 4.4690 |hm_loss 2.7167 |wh_loss 15.9068 |off_loss 0.1616 |Data 0.681s(0.685s) |Net 1.365s
0
2
3
0
0
0
1
ctdet/coco_dla| train: [5][18/61]|Tot: 0:00:25 |ETA: 0:00:00 |loss 4.5032 |hm_loss 2.7450 |wh_loss 15.8864 |off_loss 0.1695 |Data 0.680s(0.685s) |Net 1.365s
0
0
ctdet/coco_dla| train: [5][19/61]|Tot: 0:00:27 |ETA: 0:00:00 |loss 4.4135 |hm_loss 2.7031 |wh_loss 15.4417 |off_loss 0.1662 |Data 0.679s(0.684s) |Net 1.364s
1
2
1
0
2
0
1
0
0
ctdet/coco_dla| train: [5][20/61]|Tot: 0:00:28 |ETA: 0:00:00 |loss 4.4840 |hm_loss 2.7282 |wh_loss 15.8566 |off_loss 0.1702 |Data 0.680s(0.684s) |Net 1.364s
2
2
ctdet/coco_dla| train: [5][21/61]|Tot: 0:00:29 |ETA: 0:00:00 |loss 4.4426 |hm_loss 2.6924 |wh_loss 15.8266 |off_loss 0.1676 |Data 0.683s(0.684s) |Net 1.363s
2
1
0
1
0
0
ctdet/coco_dla| train: [5][22/61]|Tot: 0:00:31 |ETA: 0:00:00 |loss 4.4229 |hm_loss 2.6859 |wh_loss 15.7177 |off_loss 0.1652 |Data 0.683s(0.684s) |Net 1.363s
0
0
ctdet/coco_dla| train: [5][23/61]|Tot: 0:00:32 |ETA: 0:00:00 |loss 4.3458 |hm_loss 2.6520 |wh_loss 15.3002 |off_loss 0.1638 |Data 0.681s(0.684s) |Net 1.363s
1
0
0
1
0
0
ctdet/coco_dla| train: [5][24/61]|Tot: 0:00:34 |ETA: 0:00:00 |loss 4.4077 |hm_loss 2.6857 |wh_loss 15.5491 |off_loss 0.1671 |Data 0.679s(0.684s) |Net 1.362s
1
0
1
ctdet/coco_dla| train: [5][25/61]|Tot: 0:00:35 |ETA: 0:00:00 |loss 4.3490 |hm_loss 2.6552 |wh_loss 15.2984 |off_loss 0.1639 |Data 0.744s(0.686s) |Net 1.365s
2
2
0
0
ctdet/coco_dla| train: [5][26/61]|Tot: 0:00:36 |ETA: 0:00:00 |loss 4.4002 |hm_loss 2.6906 |wh_loss 15.4187 |off_loss 0.1677 |Data 0.751s(0.688s) |Net 1.367s
1
1
0
0
0
ctdet/coco_dla| train: [5][27/61]|Tot: 0:00:38 |ETA: 0:00:00 |loss 4.3886 |hm_loss 2.6886 |wh_loss 15.3111 |off_loss 0.1689 |Data 0.680s(0.688s) |Net 1.367s
3
0
3
2
0
2
0
0
1
ctdet/coco_dla| train: [5][28/61]|Tot: 0:00:39 |ETA: 0:00:00 |loss 4.4344 |hm_loss 2.7175 |wh_loss 15.4538 |off_loss 0.1716 |Data 0.682s(0.688s) |Net 1.366s
2
0
1
1
2
1
1
0
ctdet/coco_dla| train: [5][29/61]|Tot: 0:00:40 |ETA: 0:00:00 |loss 4.4417 |hm_loss 2.7168 |wh_loss 15.5458 |off_loss 0.1703 |Data 0.687s(0.688s) |Net 1.366s
0
2
ctdet/coco_dla| train: [5][30/61]|Tot: 0:00:42 |ETA: 0:00:00 |loss 4.3500 |hm_loss 2.6661 |wh_loss 15.1786 |off_loss 0.1661 |Data 0.795s(0.691s) |Net 1.369s
0
2
0
0
1
ctdet/coco_dla| train: [5][31/61]|Tot: 0:00:43 |ETA: 0:00:00 |loss 4.3295 |hm_loss 2.6658 |wh_loss 14.9747 |off_loss 0.1663 |Data 0.682s(0.691s) |Net 1.369s
0
1
0
0
ctdet/coco_dla| train: [5][32/61]|Tot: 0:00:45 |ETA: 0:00:00 |loss 4.3175 |hm_loss 2.6691 |wh_loss 14.8272 |off_loss 0.1658 |Data 0.695s(0.691s) |Net 1.369s
0
1
0
ctdet/coco_dla| train: [5][33/61]|Tot: 0:00:46 |ETA: 0:00:00 |loss 4.2398 |hm_loss 2.6246 |wh_loss 14.5277 |off_loss 0.1624 |Data 0.684s(0.691s) |Net 1.369s
1
0
1
1
3
1
ctdet/coco_dla| train: [5][34/61]|Tot: 0:00:47 |ETA: 0:00:00 |loss 4.2660 |hm_loss 2.6427 |wh_loss 14.5859 |off_loss 0.1646 |Data 0.687s(0.691s) |Net 1.370s
1
0
0
1
ctdet/coco_dla| train: [5][35/61]|Tot: 0:00:49 |ETA: 0:00:00 |loss 4.2547 |hm_loss 2.6370 |wh_loss 14.5364 |off_loss 0.1640 |Data 0.739s(0.692s) |Net 1.371s
1
0
1
ctdet/coco_dla| train: [5][36/61]|Tot: 0:00:50 |ETA: 0:00:00 |loss 4.2614 |hm_loss 2.6367 |wh_loss 14.6249 |off_loss 0.1622 |Data 0.775s(0.694s) |Net 1.373s
1
0
0
0
2
1
ctdet/coco_dla| train: [5][37/61]|Tot: 0:00:52 |ETA: 0:00:00 |loss 4.2484 |hm_loss 2.6385 |wh_loss 14.4835 |off_loss 0.1616 |Data 0.674s(0.694s) |Net 1.373s
0
0
0
0
0
0
0
0
3
2
1
ctdet/coco_dla| train: [5][38/61]|Tot: 0:00:53 |ETA: 0:00:00 |loss 4.2758 |hm_loss 2.6522 |wh_loss 14.6165 |off_loss 0.1620 |Data 0.721s(0.695s) |Net 1.373s
2
0
0
0
ctdet/coco_dla| train: [5][39/61]|Tot: 0:00:54 |ETA: 0:00:00 |loss 4.2818 |hm_loss 2.6526 |wh_loss 14.6768 |off_loss 0.1615 |Data 0.676s(0.694s) |Net 1.373s
1
1
1
0
0
1
ctdet/coco_dla| train: [5][40/61]|Tot: 0:00:56 |ETA: 0:00:00 |loss 4.3064 |hm_loss 2.6694 |wh_loss 14.7374 |off_loss 0.1633 |Data 0.684s(0.694s) |Net 1.372s
0
0
0
ctdet/coco_dla| train: [5][41/61]|Tot: 0:00:57 |ETA: 0:00:00 |loss 4.2553 |hm_loss 2.6494 |wh_loss 14.4494 |off_loss 0.1609 |Data 0.683s(0.694s) |Net 1.372s
2
0
0
0
2
0
1
ctdet/coco_dla| train: [5][42/61]|Tot: 0:00:58 |ETA: 0:00:00 |loss 4.2857 |hm_loss 2.6600 |wh_loss 14.6495 |off_loss 0.1608 |Data 0.672s(0.693s) |Net 1.372s
1
2
ctdet/coco_dla| train: [5][43/61]|Tot: 0:01:00 |ETA: 0:00:00 |loss 4.2265 |hm_loss 2.6296 |wh_loss 14.3850 |off_loss 0.1584 |Data 0.736s(0.694s) |Net 1.374s
0
0
3
1
0
1
1
0
ctdet/coco_dla| train: [5][44/61]|Tot: 0:01:01 |ETA: 0:00:00 |loss 4.2155 |hm_loss 2.6275 |wh_loss 14.3002 |off_loss 0.1580 |Data 0.672s(0.694s) |Net 1.373s
0
0
3
0
0
ctdet/coco_dla| train: [5][45/61]|Tot: 0:01:03 |ETA: 0:00:00 |loss 4.2022 |hm_loss 2.6229 |wh_loss 14.2250 |off_loss 0.1569 |Data 0.679s(0.693s) |Net 1.373s
2
0
1
2
ctdet/coco_dla| train: [5][46/61]|Tot: 0:01:04 |ETA: 0:00:00 |loss 4.1930 |hm_loss 2.6236 |wh_loss 14.1222 |off_loss 0.1572 |Data 0.683s(0.693s) |Net 1.372s
0
3
0
0
2
0
1
0
1
ctdet/coco_dla| train: [5][47/61]|Tot: 0:01:05 |ETA: 0:00:00 |loss 4.2236 |hm_loss 2.6516 |wh_loss 14.1289 |off_loss 0.1591 |Data 0.687s(0.693s) |Net 1.372s
0
1
0
ctdet/coco_dla| train: [5][48/61]|Tot: 0:01:07 |ETA: 0:00:00 |loss 4.2130 |hm_loss 2.6524 |wh_loss 14.0140 |off_loss 0.1592 |Data 0.689s(0.693s) |Net 1.372s
0
1
ctdet/coco_dla| train: [5][49/61]|Tot: 0:01:08 |ETA: 0:00:00 |loss 4.1609 |hm_loss 2.6204 |wh_loss 13.8358 |off_loss 0.1570 |Data 0.687s(0.693s) |Net 1.372s
1
0
2
1
ctdet/coco_dla| train: [5][50/61]|Tot: 0:01:09 |ETA: 0:00:00 |loss 4.1520 |hm_loss 2.6196 |wh_loss 13.7404 |off_loss 0.1584 |Data 0.691s(0.693s) |Net 1.372s
1
0
1
2
1
0
ctdet/coco_dla| train: [5][51/61]|Tot: 0:01:11 |ETA: 0:00:00 |loss 4.1601 |hm_loss 2.6329 |wh_loss 13.6881 |off_loss 0.1584 |Data 0.678s(0.692s) |Net 1.371s
0
0
0
0
1
ctdet/coco_dla| train: [5][52/61]|Tot: 0:01:12 |ETA: 0:00:00 |loss 4.1575 |hm_loss 2.6322 |wh_loss 13.6707 |off_loss 0.1582 |Data 0.677s(0.692s) |Net 1.372s
0
0
1
1
0
0
ctdet/coco_dla| train: [5][53/61]|Tot: 0:01:14 |ETA: 0:00:00 |loss 4.1302 |hm_loss 2.6190 |wh_loss 13.5373 |off_loss 0.1574 |Data 0.745s(0.693s) |Net 1.372s
1
1
1
ctdet/coco_dla| train: [5][54/61]|Tot: 0:01:15 |ETA: 0:00:00 |loss 4.1041 |hm_loss 2.6041 |wh_loss 13.4383 |off_loss 0.1561 |Data 0.686s(0.693s) |Net 1.372s
3
1
2
1
0
0
0
0
1
ctdet/coco_dla| train: [5][55/61]|Tot: 0:01:16 |ETA: 0:00:00 |loss 4.1227 |hm_loss 2.6176 |wh_loss 13.4809 |off_loss 0.1570 |Data 0.676s(0.693s) |Net 1.372s
1
1
0
ctdet/coco_dla| train: [5][56/61]|Tot: 0:01:18 |ETA: 0:00:00 |loss 4.0995 |hm_loss 2.6043 |wh_loss 13.3911 |off_loss 0.1560 |Data 0.687s(0.693s) |Net 1.372s
0
ctdet/coco_dla| train: [5][57/61]|Tot: 0:01:19 |ETA: 0:00:00 |loss 4.0531 |hm_loss 2.5788 |wh_loss 13.1943 |off_loss 0.1549 |Data 0.688s(0.692s) |Net 1.372s
0
0
0
0
0
1
0
0
ctdet/coco_dla| train: [5][58/61]|Tot: 0:01:20 |ETA: 0:00:00 |loss 4.0597 |hm_loss 2.5896 |wh_loss 13.1492 |off_loss 0.1552 |Data 0.694s(0.693s) |Net 1.371s
1
0
1
0
ctdet/coco_dla| train: [5][59/61]|Tot: 0:01:22 |ETA: 0:00:00 |loss 4.0503 |hm_loss 2.5878 |wh_loss 13.0638 |off_loss 0.1561 |Data 0.756s(0.694s) |Net 1.373s
1
0
0
1
ctdet/coco_dla| train: [5][60/61]|Tot: 0:01:23 |ETA: 0:00:00 |loss 4.0290 |hm_loss 2.5750 |wh_loss 12.9887 |off_loss 0.1551 |Data 0.699s(0.694s) |Net 1.373s
/root/.pyenv/versions/3.6.9/lib/python3.6/site-packages/torch/nn/functional.py:52: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
warnings.warn(warning.format(ret))
/root/.pyenv/versions/3.6.9/lib/python3.6/site-packages/torch/nn/parallel/_functions.py:58: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
warnings.warn('Was asked to gather along dimension 0, but all '
ctdet/coco_dla| val: [5][0/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 7.7391 |hm_loss 4.1923 |wh_loss 31.1896 |off_loss 0.4279 |Data 0.211s(0.211s) |Net 0.256s
ctdet/coco_dla| val: [5][1/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 7.3524 |hm_loss 4.1069 |wh_loss 27.8113 |off_loss 0.4644 |Data 0.001s(0.106s) |Net 0.138s
ctdet/coco_dla| val: [5][2/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 6.9210 |hm_loss 4.0701 |wh_loss 24.2181 |off_loss 0.4291 |Data 0.000s(0.071s) |Net 0.099s
ctdet/coco_dla| val: [5][3/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 6.7402 |hm_loss 4.0596 |wh_loss 22.8348 |off_loss 0.3972 |Data 0.001s(0.053s) |Net 0.079s
ctdet/coco_dla| val: [5][4/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 6.7516 |hm_loss 4.0433 |wh_loss 23.5554 |off_loss 0.3528 |Data 0.001s(0.043s) |Net 0.068s
ctdet/coco_dla| val: [5][5/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 6.6216 |hm_loss 3.9569 |wh_loss 23.1387 |off_loss 0.3508 |Data 0.001s(0.036s) |Net 0.060s
ctdet/coco_dla| val: [5][6/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 5.6832 |hm_loss 3.3991 |wh_loss 19.8332 |off_loss 0.3007 |Data 0.001s(0.031s) |Net 0.054s
ctdet/coco_dla| val: [5][7/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 4.9792 |hm_loss 2.9806 |wh_loss 17.3540 |off_loss 0.2631 |Data 0.002s(0.027s) |Net 0.050s
ctdet/coco_dla| val: [5][8/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 4.4316 |hm_loss 2.6551 |wh_loss 15.4258 |off_loss 0.2339 |Data 0.000s(0.024s) |Net 0.047s
ctdet/coco_dla| val: [5][9/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 3.9936 |hm_loss 2.3948 |wh_loss 13.8832 |off_loss 0.2105 |Data 0.000s(0.022s) |Net 0.045s
ctdet/coco_dla| val: [5][10/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 3.6351 |hm_loss 2.1817 |wh_loss 12.6211 |off_loss 0.1914 |Data 0.001s(0.020s) |Net 0.043s
ctdet/coco_dla| val: [5][11/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 3.3365 |hm_loss 2.0041 |wh_loss 11.5694 |off_loss 0.1754 |Data 0.001s(0.018s) |Net 0.041s
ctdet/coco_dla| val: [5][12/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 3.0838 |hm_loss 1.8540 |wh_loss 10.6794 |off_loss 0.1619 |Data 0.001s(0.017s) |Net 0.039s
ctdet/coco_dla| val: [5][13/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 2.8673 |hm_loss 1.7252 |wh_loss 9.9166 |off_loss 0.1504 |Data 0.001s(0.016s) |Net 0.038s
ctdet/coco_dla| val: [5][14/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 2.6796 |hm_loss 1.6137 |wh_loss 9.2555 |off_loss 0.1403 |Data 0.001s(0.015s) |Net 0.037s
ctdet/coco_dla| val: [5][15/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 2.5154 |hm_loss 1.5161 |wh_loss 8.6770 |off_loss 0.1316 |Data 0.001s(0.014s) |Net 0.036s
ctdet/coco_dla| val: [5][16/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 2.3705 |hm_loss 1.4300 |wh_loss 8.1666 |off_loss 0.1238 |Data 0.001s(0.013s) |Net 0.035s
ctdet/coco_dla| val: [5][17/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 2.2417 |hm_loss 1.3535 |wh_loss 7.7129 |off_loss 0.1169 |Data 0.001s(0.012s) |Net 0.034s
ctdet/coco_dla| val: [5][18/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 2.1264 |hm_loss 1.2850 |wh_loss 7.3070 |off_loss 0.1108 |Data 0.001s(0.012s) |Net 0.034s
ctdet/coco_dla| val: [5][19/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 2.0227 |hm_loss 1.2233 |wh_loss 6.9416 |off_loss 0.1053 |Data 0.001s(0.011s) |Net 0.033s
ctdet/coco_dla| val: [5][20/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.9289 |hm_loss 1.1675 |wh_loss 6.6111 |off_loss 0.1002 |Data 0.000s(0.011s) |Net 0.033s
ctdet/coco_dla| val: [5][21/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.8436 |hm_loss 1.1169 |wh_loss 6.3106 |off_loss 0.0957 |Data 0.000s(0.010s) |Net 0.032s
ctdet/coco_dla| val: [5][22/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.7657 |hm_loss 1.0706 |wh_loss 6.0362 |off_loss 0.0915 |Data 0.000s(0.010s) |Net 0.032s
ctdet/coco_dla| val: [5][23/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.6943 |hm_loss 1.0281 |wh_loss 5.7847 |off_loss 0.0877 |Data 0.001s(0.009s) |Net 0.031s
ctdet/coco_dla| val: [5][24/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.6286 |hm_loss 0.9891 |wh_loss 5.5533 |off_loss 0.0842 |Data 0.000s(0.009s) |Net 0.031s
ctdet/coco_dla| val: [5][25/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.5679 |hm_loss 0.9530 |wh_loss 5.3397 |off_loss 0.0810 |Data 0.001s(0.009s) |Net 0.031s
ctdet/coco_dla| val: [5][26/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.5118 |hm_loss 0.9196 |wh_loss 5.1419 |off_loss 0.0780 |Data 0.000s(0.008s) |Net 0.030s
ctdet/coco_dla| val: [5][27/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.4596 |hm_loss 0.8886 |wh_loss 4.9583 |off_loss 0.0752 |Data 0.001s(0.008s) |Net 0.030s
ctdet/coco_dla| val: [5][28/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.4111 |hm_loss 0.8598 |wh_loss 4.7873 |off_loss 0.0726 |Data 0.001s(0.008s) |Net 0.030s
ctdet/coco_dla| val: [5][29/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.3658 |hm_loss 0.8329 |wh_loss 4.6277 |off_loss 0.0702 |Data 0.000s(0.008s) |Net 0.029s
ctdet/coco_dla| val: [5][30/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.3234 |hm_loss 0.8077 |wh_loss 4.4785 |off_loss 0.0679 |Data 0.000s(0.007s) |Net 0.029s
ctdet/coco_dla| val: [5][31/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.2837 |hm_loss 0.7841 |wh_loss 4.3385 |off_loss 0.0658 |Data 0.000s(0.007s) |Net 0.029s
ctdet/coco_dla| val: [5][32/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.2464 |hm_loss 0.7619 |wh_loss 4.2070 |off_loss 0.0638 |Data 0.001s(0.007s) |Net 0.028s
ctdet/coco_dla| val: [5][33/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.2113 |hm_loss 0.7411 |wh_loss 4.0833 |off_loss 0.0619 |Data 0.001s(0.007s) |Net 0.028s
ctdet/coco_dla| val: [5][34/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.1782 |hm_loss 0.7214 |wh_loss 3.9666 |off_loss 0.0601 |Data 0.000s(0.007s) |Net 0.028s
ctdet/coco_dla| val: [5][35/2110]|Tot: 0:00:00 |ETA: 0:00:00 |loss 1.1470 |hm_loss 0.7029 |wh_loss 3.8565 |off_loss 0.0585 |Data 0.001s(0.006s) |Net 0.028s
ctdet/coco_dla| val: [5][36/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.3029 |hm_loss 0.8024 |wh_loss 4.3731 |off_loss 0.0632 |Data 0.001s(0.006s) |Net 0.028s
ctdet/coco_dla| val: [5][37/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.4443 |hm_loss 0.8883 |wh_loss 4.8267 |off_loss 0.0733 |Data 0.001s(0.006s) |Net 0.027s
ctdet/coco_dla| val: [5][38/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.5587 |hm_loss 0.9579 |wh_loss 5.2360 |off_loss 0.0772 |Data 0.001s(0.006s) |Net 0.027s
ctdet/coco_dla| val: [5][39/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.6603 |hm_loss 1.0254 |wh_loss 5.5706 |off_loss 0.0778 |Data 0.001s(0.006s) |Net 0.027s
ctdet/coco_dla| val: [5][40/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.7568 |hm_loss 1.0919 |wh_loss 5.8314 |off_loss 0.0817 |Data 0.001s(0.006s) |Net 0.027s
ctdet/coco_dla| val: [5][41/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.8482 |hm_loss 1.1591 |wh_loss 6.0568 |off_loss 0.0834 |Data 0.001s(0.006s) |Net 0.027s
ctdet/coco_dla| val: [5][42/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.9419 |hm_loss 1.2279 |wh_loss 6.2292 |off_loss 0.0911 |Data 0.001s(0.005s) |Net 0.027s
ctdet/coco_dla| val: [5][43/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.0251 |hm_loss 1.2956 |wh_loss 6.2921 |off_loss 0.1003 |Data 0.001s(0.005s) |Net 0.026s
ctdet/coco_dla| val: [5][44/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.0887 |hm_loss 1.3613 |wh_loss 6.2797 |off_loss 0.0994 |Data 0.001s(0.005s) |Net 0.026s
ctdet/coco_dla| val: [5][45/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.1485 |hm_loss 1.4249 |wh_loss 6.2013 |off_loss 0.1034 |Data 0.001s(0.005s) |Net 0.026s
ctdet/coco_dla| val: [5][46/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.1998 |hm_loss 1.4856 |wh_loss 6.1221 |off_loss 0.1020 |Data 0.000s(0.005s) |Net 0.026s
ctdet/coco_dla| val: [5][47/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.2611 |hm_loss 1.5440 |wh_loss 6.1135 |off_loss 0.1058 |Data 0.001s(0.005s) |Net 0.026s
ctdet/coco_dla| val: [5][48/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.3338 |hm_loss 1.6005 |wh_loss 6.2481 |off_loss 0.1085 |Data 0.000s(0.005s) |Net 0.026s
ctdet/coco_dla| val: [5][49/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.4052 |hm_loss 1.6538 |wh_loss 6.3806 |off_loss 0.1133 |Data 0.001s(0.005s) |Net 0.026s
ctdet/coco_dla| val: [5][50/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.4918 |hm_loss 1.7076 |wh_loss 6.6489 |off_loss 0.1193 |Data 0.001s(0.005s) |Net 0.026s
ctdet/coco_dla| val: [5][51/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.5802 |hm_loss 1.7596 |wh_loss 6.9553 |off_loss 0.1251 |Data 0.000s(0.005s) |Net 0.026s
ctdet/coco_dla| val: [5][52/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.6660 |hm_loss 1.8088 |wh_loss 7.2900 |off_loss 0.1282 |Data 0.001s(0.005s) |Net 0.025s
ctdet/coco_dla| val: [5][53/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.7503 |hm_loss 1.8566 |wh_loss 7.6684 |off_loss 0.1269 |Data 0.001s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][54/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.8198 |hm_loss 1.9022 |wh_loss 7.9157 |off_loss 0.1260 |Data 0.000s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][55/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.7705 |hm_loss 1.8692 |wh_loss 7.7743 |off_loss 0.1238 |Data 0.000s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][56/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.7228 |hm_loss 1.8374 |wh_loss 7.6379 |off_loss 0.1216 |Data 0.000s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][57/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.6768 |hm_loss 1.8066 |wh_loss 7.5062 |off_loss 0.1195 |Data 0.001s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][58/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.6323 |hm_loss 1.7769 |wh_loss 7.3790 |off_loss 0.1175 |Data 0.001s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][59/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.5894 |hm_loss 1.7482 |wh_loss 7.2560 |off_loss 0.1155 |Data 0.001s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][60/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.5478 |hm_loss 1.7205 |wh_loss 7.1371 |off_loss 0.1136 |Data 0.000s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][61/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.5076 |hm_loss 1.6936 |wh_loss 7.0220 |off_loss 0.1118 |Data 0.001s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][62/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.4687 |hm_loss 1.6676 |wh_loss 6.9105 |off_loss 0.1100 |Data 0.001s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][63/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.4309 |hm_loss 1.6423 |wh_loss 6.8025 |off_loss 0.1083 |Data 0.001s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][64/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.3943 |hm_loss 1.6179 |wh_loss 6.6979 |off_loss 0.1067 |Data 0.000s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][65/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.3588 |hm_loss 1.5942 |wh_loss 6.5964 |off_loss 0.1050 |Data 0.001s(0.004s) |Net 0.024s
ctdet/coco_dla| val: [5][66/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.3244 |hm_loss 1.5712 |wh_loss 6.4979 |off_loss 0.1035 |Data 0.001s(0.004s) |Net 0.024s
ctdet/coco_dla| val: [5][67/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.2910 |hm_loss 1.5488 |wh_loss 6.4024 |off_loss 0.1019 |Data 0.001s(0.004s) |Net 0.025s
ctdet/coco_dla| val: [5][68/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.2586 |hm_loss 1.5271 |wh_loss 6.3096 |off_loss 0.1005 |Data 0.001s(0.004s) |Net 0.024s
ctdet/coco_dla| val: [5][69/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.2271 |hm_loss 1.5061 |wh_loss 6.2194 |off_loss 0.0990 |Data 0.001s(0.004s) |Net 0.024s
ctdet/coco_dla| val: [5][70/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.1964 |hm_loss 1.4856 |wh_loss 6.1318 |off_loss 0.0976 |Data 0.001s(0.004s) |Net 0.024s
ctdet/coco_dla| val: [5][71/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.1667 |hm_loss 1.4657 |wh_loss 6.0467 |off_loss 0.0963 |Data 0.001s(0.004s) |Net 0.024s
ctdet/coco_dla| val: [5][72/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.1377 |hm_loss 1.4464 |wh_loss 5.9638 |off_loss 0.0950 |Data 0.000s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][73/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.1095 |hm_loss 1.4275 |wh_loss 5.8833 |off_loss 0.0937 |Data 0.002s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][74/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.0821 |hm_loss 1.4092 |wh_loss 5.8048 |off_loss 0.0924 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][75/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.0554 |hm_loss 1.3913 |wh_loss 5.7284 |off_loss 0.0912 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][76/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.0294 |hm_loss 1.3739 |wh_loss 5.6540 |off_loss 0.0900 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][77/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 2.0040 |hm_loss 1.3570 |wh_loss 5.5816 |off_loss 0.0889 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][78/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.9793 |hm_loss 1.3405 |wh_loss 5.5109 |off_loss 0.0878 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][79/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.9552 |hm_loss 1.3244 |wh_loss 5.4420 |off_loss 0.0867 |Data 0.000s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][80/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.9317 |hm_loss 1.3087 |wh_loss 5.3748 |off_loss 0.0856 |Data 0.000s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][81/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.9088 |hm_loss 1.2934 |wh_loss 5.3093 |off_loss 0.0845 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][82/2110]|Tot: 0:00:01 |ETA: 0:00:00 |loss 1.8865 |hm_loss 1.2784 |wh_loss 5.2453 |off_loss 0.0835 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][83/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.8647 |hm_loss 1.2638 |wh_loss 5.1829 |off_loss 0.0825 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][84/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.8433 |hm_loss 1.2496 |wh_loss 5.1219 |off_loss 0.0816 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][85/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.8225 |hm_loss 1.2357 |wh_loss 5.0623 |off_loss 0.0806 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][86/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.8022 |hm_loss 1.2221 |wh_loss 5.0041 |off_loss 0.0797 |Data 0.000s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][87/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.7823 |hm_loss 1.2088 |wh_loss 4.9473 |off_loss 0.0788 |Data 0.000s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][88/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.7629 |hm_loss 1.1958 |wh_loss 4.8917 |off_loss 0.0779 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][89/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.7439 |hm_loss 1.1832 |wh_loss 4.8373 |off_loss 0.0770 |Data 0.000s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][90/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.7253 |hm_loss 1.1707 |wh_loss 4.7842 |off_loss 0.0762 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][91/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.7072 |hm_loss 1.1586 |wh_loss 4.7322 |off_loss 0.0754 |Data 0.000s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][92/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.6894 |hm_loss 1.1467 |wh_loss 4.6813 |off_loss 0.0745 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][93/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.6719 |hm_loss 1.1350 |wh_loss 4.6315 |off_loss 0.0738 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][94/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.6549 |hm_loss 1.1236 |wh_loss 4.5827 |off_loss 0.0730 |Data 0.000s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][95/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.6382 |hm_loss 1.1124 |wh_loss 4.5350 |off_loss 0.0722 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][96/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.6218 |hm_loss 1.1015 |wh_loss 4.4883 |off_loss 0.0715 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][97/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.6058 |hm_loss 1.0908 |wh_loss 4.4425 |off_loss 0.0707 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][98/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.5902 |hm_loss 1.0804 |wh_loss 4.3976 |off_loss 0.0700 |Data 0.000s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][99/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.5748 |hm_loss 1.0701 |wh_loss 4.3536 |off_loss 0.0693 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][100/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.5597 |hm_loss 1.0600 |wh_loss 4.3105 |off_loss 0.0686 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][101/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.5450 |hm_loss 1.0502 |wh_loss 4.2682 |off_loss 0.0680 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][102/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.5305 |hm_loss 1.0405 |wh_loss 4.2268 |off_loss 0.0673 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][103/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.5163 |hm_loss 1.0310 |wh_loss 4.1862 |off_loss 0.0667 |Data 0.000s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][104/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.5024 |hm_loss 1.0218 |wh_loss 4.1463 |off_loss 0.0660 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][105/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.4888 |hm_loss 1.0127 |wh_loss 4.1072 |off_loss 0.0654 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][106/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.4754 |hm_loss 1.0037 |wh_loss 4.0688 |off_loss 0.0648 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][107/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.4623 |hm_loss 0.9949 |wh_loss 4.0311 |off_loss 0.0642 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][108/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.4494 |hm_loss 0.9863 |wh_loss 3.9941 |off_loss 0.0636 |Data 0.001s(0.003s) |Net 0.024s
ctdet/coco_dla| val: [5][109/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.4367 |hm_loss 0.9779 |wh_loss 3.9578 |off_loss 0.0630 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][110/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.4243 |hm_loss 0.9696 |wh_loss 3.9222 |off_loss 0.0625 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][111/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.4120 |hm_loss 0.9614 |wh_loss 3.8872 |off_loss 0.0619 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][112/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.4001 |hm_loss 0.9534 |wh_loss 3.8528 |off_loss 0.0613 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][113/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.3883 |hm_loss 0.9456 |wh_loss 3.8190 |off_loss 0.0608 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][114/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.3767 |hm_loss 0.9378 |wh_loss 3.7857 |off_loss 0.0603 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][115/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.3653 |hm_loss 0.9302 |wh_loss 3.7531 |off_loss 0.0598 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][116/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.3541 |hm_loss 0.9228 |wh_loss 3.7210 |off_loss 0.0593 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][117/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.3431 |hm_loss 0.9154 |wh_loss 3.6895 |off_loss 0.0588 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][118/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.3323 |hm_loss 0.9082 |wh_loss 3.6585 |off_loss 0.0583 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][119/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.3217 |hm_loss 0.9011 |wh_loss 3.6280 |off_loss 0.0578 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][120/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.3113 |hm_loss 0.8942 |wh_loss 3.5980 |off_loss 0.0573 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][121/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.3010 |hm_loss 0.8873 |wh_loss 3.5685 |off_loss 0.0568 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][122/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.2909 |hm_loss 0.8806 |wh_loss 3.5395 |off_loss 0.0564 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][123/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.2810 |hm_loss 0.8739 |wh_loss 3.5110 |off_loss 0.0559 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][124/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.2712 |hm_loss 0.8674 |wh_loss 3.4829 |off_loss 0.0555 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][125/2110]|Tot: 0:00:02 |ETA: 0:00:00 |loss 1.2615 |hm_loss 0.8610 |wh_loss 3.4552 |off_loss 0.0550 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][126/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.2521 |hm_loss 0.8547 |wh_loss 3.4280 |off_loss 0.0546 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][127/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.2427 |hm_loss 0.8485 |wh_loss 3.4013 |off_loss 0.0542 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][128/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.2336 |hm_loss 0.8423 |wh_loss 3.3749 |off_loss 0.0537 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][129/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.2245 |hm_loss 0.8363 |wh_loss 3.3489 |off_loss 0.0533 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][130/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.2156 |hm_loss 0.8304 |wh_loss 3.3234 |off_loss 0.0529 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][131/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.2069 |hm_loss 0.8245 |wh_loss 3.2982 |off_loss 0.0525 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][132/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.1983 |hm_loss 0.8188 |wh_loss 3.2734 |off_loss 0.0521 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][133/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.1898 |hm_loss 0.8131 |wh_loss 3.2490 |off_loss 0.0517 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][134/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.1814 |hm_loss 0.8076 |wh_loss 3.2249 |off_loss 0.0514 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][135/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.2166 |hm_loss 0.8280 |wh_loss 3.3400 |off_loss 0.0547 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][136/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.2588 |hm_loss 0.8518 |wh_loss 3.5030 |off_loss 0.0567 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][137/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.2973 |hm_loss 0.8768 |wh_loss 3.6331 |off_loss 0.0572 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][138/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.3323 |hm_loss 0.9019 |wh_loss 3.7348 |off_loss 0.0569 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][139/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.3754 |hm_loss 0.9270 |wh_loss 3.9019 |off_loss 0.0582 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][140/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.4149 |hm_loss 0.9516 |wh_loss 4.0390 |off_loss 0.0595 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][141/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.4525 |hm_loss 0.9761 |wh_loss 4.1609 |off_loss 0.0603 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][142/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.4888 |hm_loss 1.0001 |wh_loss 4.2626 |off_loss 0.0625 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][143/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.4788 |hm_loss 0.9935 |wh_loss 4.2330 |off_loss 0.0620 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][144/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.4690 |hm_loss 0.9870 |wh_loss 4.2038 |off_loss 0.0616 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][145/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.4593 |hm_loss 0.9807 |wh_loss 4.1750 |off_loss 0.0612 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][146/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.4498 |hm_loss 0.9744 |wh_loss 4.1466 |off_loss 0.0608 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][147/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.4794 |hm_loss 0.9909 |wh_loss 4.2533 |off_loss 0.0632 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][148/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.5107 |hm_loss 1.0080 |wh_loss 4.3680 |off_loss 0.0659 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][149/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.5423 |hm_loss 1.0281 |wh_loss 4.4804 |off_loss 0.0662 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][150/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.5743 |hm_loss 1.0476 |wh_loss 4.5695 |off_loss 0.0697 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][151/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6120 |hm_loss 1.0688 |wh_loss 4.7273 |off_loss 0.0705 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][152/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6527 |hm_loss 1.0894 |wh_loss 4.9002 |off_loss 0.0732 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][153/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6915 |hm_loss 1.1078 |wh_loss 5.0802 |off_loss 0.0756 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][154/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6809 |hm_loss 1.1011 |wh_loss 5.0474 |off_loss 0.0751 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][155/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6706 |hm_loss 1.0944 |wh_loss 5.0150 |off_loss 0.0747 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][156/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6603 |hm_loss 1.0879 |wh_loss 4.9831 |off_loss 0.0742 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][157/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6503 |hm_loss 1.0814 |wh_loss 4.9516 |off_loss 0.0737 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][158/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6403 |hm_loss 1.0750 |wh_loss 4.9204 |off_loss 0.0733 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][159/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6305 |hm_loss 1.0687 |wh_loss 4.8897 |off_loss 0.0728 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][160/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6207 |hm_loss 1.0625 |wh_loss 4.8593 |off_loss 0.0723 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][161/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6111 |hm_loss 1.0563 |wh_loss 4.8293 |off_loss 0.0719 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][162/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.6016 |hm_loss 1.0502 |wh_loss 4.7997 |off_loss 0.0715 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][163/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.5922 |hm_loss 1.0442 |wh_loss 4.7704 |off_loss 0.0710 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][164/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.5829 |hm_loss 1.0382 |wh_loss 4.7415 |off_loss 0.0706 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][165/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.5737 |hm_loss 1.0323 |wh_loss 4.7129 |off_loss 0.0702 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][166/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.5647 |hm_loss 1.0264 |wh_loss 4.6847 |off_loss 0.0697 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][167/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.5557 |hm_loss 1.0207 |wh_loss 4.6568 |off_loss 0.0693 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][168/2110]|Tot: 0:00:03 |ETA: 0:00:00 |loss 1.5468 |hm_loss 1.0149 |wh_loss 4.6293 |off_loss 0.0689 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][169/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5707 |hm_loss 1.0296 |wh_loss 4.7153 |off_loss 0.0696 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][170/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6018 |hm_loss 1.0472 |wh_loss 4.8244 |off_loss 0.0722 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][171/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6324 |hm_loss 1.0662 |wh_loss 4.9057 |off_loss 0.0755 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][172/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6567 |hm_loss 1.0859 |wh_loss 4.9462 |off_loss 0.0762 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][173/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6828 |hm_loss 1.1053 |wh_loss 4.9991 |off_loss 0.0776 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][174/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.7141 |hm_loss 1.1244 |wh_loss 5.1003 |off_loss 0.0797 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][175/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.7478 |hm_loss 1.1430 |wh_loss 5.2357 |off_loss 0.0812 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][176/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.7382 |hm_loss 1.1368 |wh_loss 5.2061 |off_loss 0.0807 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][177/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.7287 |hm_loss 1.1307 |wh_loss 5.1769 |off_loss 0.0803 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][178/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.7194 |hm_loss 1.1247 |wh_loss 5.1480 |off_loss 0.0798 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][179/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.7101 |hm_loss 1.1188 |wh_loss 5.1194 |off_loss 0.0794 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][180/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.7009 |hm_loss 1.1129 |wh_loss 5.0911 |off_loss 0.0790 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][181/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6919 |hm_loss 1.1070 |wh_loss 5.0631 |off_loss 0.0785 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][182/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6829 |hm_loss 1.1013 |wh_loss 5.0354 |off_loss 0.0781 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][183/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6741 |hm_loss 1.0956 |wh_loss 5.0081 |off_loss 0.0777 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][184/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6653 |hm_loss 1.0899 |wh_loss 4.9810 |off_loss 0.0773 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][185/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6566 |hm_loss 1.0843 |wh_loss 4.9542 |off_loss 0.0768 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][186/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6480 |hm_loss 1.0788 |wh_loss 4.9277 |off_loss 0.0764 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][187/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6395 |hm_loss 1.0734 |wh_loss 4.9015 |off_loss 0.0760 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][188/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6311 |hm_loss 1.0680 |wh_loss 4.8756 |off_loss 0.0756 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][189/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6228 |hm_loss 1.0626 |wh_loss 4.8499 |off_loss 0.0752 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][190/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6146 |hm_loss 1.0573 |wh_loss 4.8245 |off_loss 0.0748 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][191/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6064 |hm_loss 1.0521 |wh_loss 4.7994 |off_loss 0.0744 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][192/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5984 |hm_loss 1.0469 |wh_loss 4.7745 |off_loss 0.0741 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][193/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5904 |hm_loss 1.0418 |wh_loss 4.7499 |off_loss 0.0737 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][194/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5825 |hm_loss 1.0367 |wh_loss 4.7256 |off_loss 0.0733 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][195/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5747 |hm_loss 1.0317 |wh_loss 4.7014 |off_loss 0.0729 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][196/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5670 |hm_loss 1.0267 |wh_loss 4.6776 |off_loss 0.0726 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][197/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5594 |hm_loss 1.0218 |wh_loss 4.6540 |off_loss 0.0722 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][198/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5518 |hm_loss 1.0169 |wh_loss 4.6306 |off_loss 0.0718 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][199/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5443 |hm_loss 1.0121 |wh_loss 4.6074 |off_loss 0.0715 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][200/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5660 |hm_loss 1.0249 |wh_loss 4.6863 |off_loss 0.0724 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][201/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5879 |hm_loss 1.0410 |wh_loss 4.7428 |off_loss 0.0727 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][202/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6171 |hm_loss 1.0575 |wh_loss 4.8549 |off_loss 0.0741 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][203/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6094 |hm_loss 1.0526 |wh_loss 4.8311 |off_loss 0.0738 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][204/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.6019 |hm_loss 1.0477 |wh_loss 4.8076 |off_loss 0.0734 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][205/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5943 |hm_loss 1.0429 |wh_loss 4.7842 |off_loss 0.0730 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][206/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5869 |hm_loss 1.0381 |wh_loss 4.7611 |off_loss 0.0727 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][207/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5795 |hm_loss 1.0334 |wh_loss 4.7382 |off_loss 0.0723 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][208/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5722 |hm_loss 1.0287 |wh_loss 4.7155 |off_loss 0.0720 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][209/2110]|Tot: 0:00:04 |ETA: 0:00:00 |loss 1.5650 |hm_loss 1.0240 |wh_loss 4.6931 |off_loss 0.0717 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][210/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5579 |hm_loss 1.0195 |wh_loss 4.6708 |off_loss 0.0713 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][211/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5508 |hm_loss 1.0149 |wh_loss 4.6488 |off_loss 0.0710 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][212/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5437 |hm_loss 1.0104 |wh_loss 4.6270 |off_loss 0.0706 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][213/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5368 |hm_loss 1.0059 |wh_loss 4.6054 |off_loss 0.0703 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][214/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5299 |hm_loss 1.0015 |wh_loss 4.5839 |off_loss 0.0700 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][215/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5231 |hm_loss 0.9971 |wh_loss 4.5627 |off_loss 0.0697 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][216/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5163 |hm_loss 0.9928 |wh_loss 4.5417 |off_loss 0.0693 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][217/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5096 |hm_loss 0.9885 |wh_loss 4.5209 |off_loss 0.0690 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][218/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5029 |hm_loss 0.9842 |wh_loss 4.5002 |off_loss 0.0687 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][219/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4964 |hm_loss 0.9800 |wh_loss 4.4798 |off_loss 0.0684 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][220/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4898 |hm_loss 0.9758 |wh_loss 4.4595 |off_loss 0.0681 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][221/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4834 |hm_loss 0.9716 |wh_loss 4.4394 |off_loss 0.0678 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][222/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4770 |hm_loss 0.9675 |wh_loss 4.4195 |off_loss 0.0675 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][223/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4706 |hm_loss 0.9635 |wh_loss 4.3998 |off_loss 0.0672 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][224/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4643 |hm_loss 0.9594 |wh_loss 4.3802 |off_loss 0.0669 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][225/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4581 |hm_loss 0.9554 |wh_loss 4.3608 |off_loss 0.0666 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][226/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4519 |hm_loss 0.9514 |wh_loss 4.3416 |off_loss 0.0663 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][227/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4457 |hm_loss 0.9475 |wh_loss 4.3226 |off_loss 0.0660 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][228/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4397 |hm_loss 0.9436 |wh_loss 4.3037 |off_loss 0.0657 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][229/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4605 |hm_loss 0.9558 |wh_loss 4.3766 |off_loss 0.0670 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][230/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4825 |hm_loss 0.9708 |wh_loss 4.4397 |off_loss 0.0677 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][231/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5045 |hm_loss 0.9856 |wh_loss 4.4959 |off_loss 0.0693 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][232/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5264 |hm_loss 1.0004 |wh_loss 4.5565 |off_loss 0.0704 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][233/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5201 |hm_loss 0.9963 |wh_loss 4.5370 |off_loss 0.0701 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][234/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5139 |hm_loss 0.9923 |wh_loss 4.5177 |off_loss 0.0698 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][235/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5077 |hm_loss 0.9883 |wh_loss 4.4986 |off_loss 0.0695 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][236/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.5016 |hm_loss 0.9844 |wh_loss 4.4796 |off_loss 0.0692 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][237/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4955 |hm_loss 0.9805 |wh_loss 4.4608 |off_loss 0.0689 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][238/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4894 |hm_loss 0.9766 |wh_loss 4.4421 |off_loss 0.0686 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][239/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4835 |hm_loss 0.9727 |wh_loss 4.4236 |off_loss 0.0684 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][240/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4775 |hm_loss 0.9689 |wh_loss 4.4053 |off_loss 0.0681 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][241/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4717 |hm_loss 0.9652 |wh_loss 4.3870 |off_loss 0.0678 |Data 0.005s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][242/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4658 |hm_loss 0.9614 |wh_loss 4.3690 |off_loss 0.0675 |Data 0.003s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][243/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4600 |hm_loss 0.9577 |wh_loss 4.3511 |off_loss 0.0672 |Data 0.005s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][244/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4543 |hm_loss 0.9540 |wh_loss 4.3333 |off_loss 0.0670 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][245/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4486 |hm_loss 0.9503 |wh_loss 4.3157 |off_loss 0.0667 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][246/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4429 |hm_loss 0.9467 |wh_loss 4.2982 |off_loss 0.0664 |Data 0.002s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][247/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4373 |hm_loss 0.9431 |wh_loss 4.2809 |off_loss 0.0661 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][248/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4318 |hm_loss 0.9395 |wh_loss 4.2637 |off_loss 0.0659 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][249/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4263 |hm_loss 0.9360 |wh_loss 4.2467 |off_loss 0.0656 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][250/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4208 |hm_loss 0.9324 |wh_loss 4.2297 |off_loss 0.0654 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][251/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4153 |hm_loss 0.9290 |wh_loss 4.2130 |off_loss 0.0651 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][252/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4100 |hm_loss 0.9255 |wh_loss 4.1963 |off_loss 0.0648 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][253/2110]|Tot: 0:00:05 |ETA: 0:00:00 |loss 1.4046 |hm_loss 0.9221 |wh_loss 4.1798 |off_loss 0.0646 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][254/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3993 |hm_loss 0.9186 |wh_loss 4.1634 |off_loss 0.0643 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][255/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3941 |hm_loss 0.9153 |wh_loss 4.1471 |off_loss 0.0641 |Data 0.001s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][256/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3888 |hm_loss 0.9119 |wh_loss 4.1310 |off_loss 0.0638 |Data 0.000s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][257/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3836 |hm_loss 0.9086 |wh_loss 4.1150 |off_loss 0.0636 |Data 0.004s(0.002s) |Net 0.024s
ctdet/coco_dla| val: [5][258/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3785 |hm_loss 0.9053 |wh_loss 4.0991 |off_loss 0.0633 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][259/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3734 |hm_loss 0.9020 |wh_loss 4.0833 |off_loss 0.0631 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][260/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3683 |hm_loss 0.8987 |wh_loss 4.0677 |off_loss 0.0629 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][261/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3633 |hm_loss 0.8955 |wh_loss 4.0522 |off_loss 0.0626 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][262/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3583 |hm_loss 0.8923 |wh_loss 4.0368 |off_loss 0.0624 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][263/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3534 |hm_loss 0.8891 |wh_loss 4.0215 |off_loss 0.0621 |Data 0.002s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][264/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3485 |hm_loss 0.8859 |wh_loss 4.0063 |off_loss 0.0619 |Data 0.004s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][265/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3436 |hm_loss 0.8828 |wh_loss 3.9912 |off_loss 0.0617 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][266/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3388 |hm_loss 0.8797 |wh_loss 3.9763 |off_loss 0.0614 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][267/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3340 |hm_loss 0.8766 |wh_loss 3.9614 |off_loss 0.0612 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][268/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3292 |hm_loss 0.8736 |wh_loss 3.9467 |off_loss 0.0610 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][269/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3245 |hm_loss 0.8705 |wh_loss 3.9321 |off_loss 0.0608 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][270/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3198 |hm_loss 0.8675 |wh_loss 3.9176 |off_loss 0.0605 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][271/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3151 |hm_loss 0.8645 |wh_loss 3.9032 |off_loss 0.0603 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][272/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3105 |hm_loss 0.8615 |wh_loss 3.8889 |off_loss 0.0601 |Data 0.003s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][273/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3059 |hm_loss 0.8586 |wh_loss 3.8747 |off_loss 0.0599 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][274/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3014 |hm_loss 0.8557 |wh_loss 3.8606 |off_loss 0.0597 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][275/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2969 |hm_loss 0.8528 |wh_loss 3.8466 |off_loss 0.0594 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][276/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2924 |hm_loss 0.8499 |wh_loss 3.8327 |off_loss 0.0592 |Data 0.002s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][277/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2879 |hm_loss 0.8470 |wh_loss 3.8189 |off_loss 0.0590 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][278/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2835 |hm_loss 0.8442 |wh_loss 3.8053 |off_loss 0.0588 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][279/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3008 |hm_loss 0.8551 |wh_loss 3.8630 |off_loss 0.0594 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][280/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3180 |hm_loss 0.8678 |wh_loss 3.9029 |off_loss 0.0599 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][281/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3347 |hm_loss 0.8806 |wh_loss 3.9440 |off_loss 0.0597 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][282/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3574 |hm_loss 0.8932 |wh_loss 4.0262 |off_loss 0.0615 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][283/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3528 |hm_loss 0.8903 |wh_loss 4.0121 |off_loss 0.0613 |Data 0.002s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][284/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3482 |hm_loss 0.8873 |wh_loss 3.9980 |off_loss 0.0611 |Data 0.004s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][285/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3437 |hm_loss 0.8844 |wh_loss 3.9840 |off_loss 0.0609 |Data 0.002s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][286/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3392 |hm_loss 0.8815 |wh_loss 3.9701 |off_loss 0.0607 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][287/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3347 |hm_loss 0.8786 |wh_loss 3.9563 |off_loss 0.0605 |Data 0.006s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][288/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3303 |hm_loss 0.8758 |wh_loss 3.9426 |off_loss 0.0602 |Data 0.003s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][289/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3259 |hm_loss 0.8729 |wh_loss 3.9290 |off_loss 0.0600 |Data 0.004s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][290/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3215 |hm_loss 0.8701 |wh_loss 3.9155 |off_loss 0.0598 |Data 0.004s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][291/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3172 |hm_loss 0.8673 |wh_loss 3.9021 |off_loss 0.0596 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][292/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3129 |hm_loss 0.8646 |wh_loss 3.8888 |off_loss 0.0594 |Data 0.003s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][293/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3086 |hm_loss 0.8618 |wh_loss 3.8756 |off_loss 0.0592 |Data 0.005s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][294/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3043 |hm_loss 0.8591 |wh_loss 3.8625 |off_loss 0.0590 |Data 0.002s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][295/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.3001 |hm_loss 0.8563 |wh_loss 3.8494 |off_loss 0.0588 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][296/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2959 |hm_loss 0.8536 |wh_loss 3.8364 |off_loss 0.0586 |Data 0.004s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][297/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2917 |hm_loss 0.8509 |wh_loss 3.8236 |off_loss 0.0584 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][298/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2876 |hm_loss 0.8483 |wh_loss 3.8108 |off_loss 0.0582 |Data 0.004s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][299/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2835 |hm_loss 0.8456 |wh_loss 3.7981 |off_loss 0.0580 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][300/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2794 |hm_loss 0.8430 |wh_loss 3.7855 |off_loss 0.0578 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][301/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2753 |hm_loss 0.8404 |wh_loss 3.7729 |off_loss 0.0576 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][302/2110]|Tot: 0:00:06 |ETA: 0:00:00 |loss 1.2713 |hm_loss 0.8378 |wh_loss 3.7605 |off_loss 0.0575 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][303/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2673 |hm_loss 0.8352 |wh_loss 3.7481 |off_loss 0.0573 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][304/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2633 |hm_loss 0.8326 |wh_loss 3.7358 |off_loss 0.0571 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][305/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2593 |hm_loss 0.8301 |wh_loss 3.7236 |off_loss 0.0569 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][306/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2554 |hm_loss 0.8275 |wh_loss 3.7115 |off_loss 0.0567 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][307/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2515 |hm_loss 0.8250 |wh_loss 3.6994 |off_loss 0.0565 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][308/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2476 |hm_loss 0.8225 |wh_loss 3.6875 |off_loss 0.0563 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][309/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2438 |hm_loss 0.8200 |wh_loss 3.6756 |off_loss 0.0562 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][310/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2399 |hm_loss 0.8176 |wh_loss 3.6637 |off_loss 0.0560 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][311/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2361 |hm_loss 0.8151 |wh_loss 3.6520 |off_loss 0.0558 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][312/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2324 |hm_loss 0.8127 |wh_loss 3.6403 |off_loss 0.0556 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][313/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2286 |hm_loss 0.8103 |wh_loss 3.6287 |off_loss 0.0554 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][314/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2249 |hm_loss 0.8079 |wh_loss 3.6172 |off_loss 0.0553 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][315/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2212 |hm_loss 0.8055 |wh_loss 3.6058 |off_loss 0.0551 |Data 0.004s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][316/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2175 |hm_loss 0.8031 |wh_loss 3.5944 |off_loss 0.0549 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][317/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2138 |hm_loss 0.8008 |wh_loss 3.5831 |off_loss 0.0547 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][318/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2102 |hm_loss 0.7984 |wh_loss 3.5719 |off_loss 0.0546 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][319/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2066 |hm_loss 0.7961 |wh_loss 3.5607 |off_loss 0.0544 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][320/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2030 |hm_loss 0.7938 |wh_loss 3.5496 |off_loss 0.0542 |Data 0.004s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][321/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1994 |hm_loss 0.7915 |wh_loss 3.5386 |off_loss 0.0541 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][322/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1958 |hm_loss 0.7892 |wh_loss 3.5276 |off_loss 0.0539 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][323/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1923 |hm_loss 0.7869 |wh_loss 3.5167 |off_loss 0.0537 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][324/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1888 |hm_loss 0.7847 |wh_loss 3.5059 |off_loss 0.0536 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][325/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1853 |hm_loss 0.7824 |wh_loss 3.4952 |off_loss 0.0534 |Data 0.003s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][326/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1993 |hm_loss 0.7912 |wh_loss 3.5428 |off_loss 0.0539 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][327/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2144 |hm_loss 0.8006 |wh_loss 3.5947 |off_loss 0.0544 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][328/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2346 |hm_loss 0.8109 |wh_loss 3.6934 |off_loss 0.0544 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][329/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2310 |hm_loss 0.8086 |wh_loss 3.6822 |off_loss 0.0542 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][330/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2275 |hm_loss 0.8064 |wh_loss 3.6711 |off_loss 0.0540 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][331/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2240 |hm_loss 0.8041 |wh_loss 3.6600 |off_loss 0.0539 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][332/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2204 |hm_loss 0.8018 |wh_loss 3.6491 |off_loss 0.0537 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][333/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2170 |hm_loss 0.7996 |wh_loss 3.6381 |off_loss 0.0535 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][334/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2135 |hm_loss 0.7974 |wh_loss 3.6273 |off_loss 0.0534 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][335/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2100 |hm_loss 0.7952 |wh_loss 3.6165 |off_loss 0.0532 |Data 0.004s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][336/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2066 |hm_loss 0.7930 |wh_loss 3.6057 |off_loss 0.0531 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][337/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2032 |hm_loss 0.7908 |wh_loss 3.5951 |off_loss 0.0529 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][338/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1998 |hm_loss 0.7886 |wh_loss 3.5845 |off_loss 0.0528 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][339/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1964 |hm_loss 0.7864 |wh_loss 3.5739 |off_loss 0.0526 |Data 0.004s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][340/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1931 |hm_loss 0.7843 |wh_loss 3.5635 |off_loss 0.0524 |Data 0.002s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][341/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1898 |hm_loss 0.7822 |wh_loss 3.5530 |off_loss 0.0523 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][342/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1864 |hm_loss 0.7800 |wh_loss 3.5427 |off_loss 0.0521 |Data 0.007s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][343/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1831 |hm_loss 0.7779 |wh_loss 3.5324 |off_loss 0.0520 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][344/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1799 |hm_loss 0.7758 |wh_loss 3.5221 |off_loss 0.0518 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][345/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.1919 |hm_loss 0.7833 |wh_loss 3.5588 |off_loss 0.0527 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][346/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2075 |hm_loss 0.7934 |wh_loss 3.6115 |off_loss 0.0529 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][347/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2223 |hm_loss 0.8039 |wh_loss 3.6384 |off_loss 0.0546 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][348/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2401 |hm_loss 0.8144 |wh_loss 3.6972 |off_loss 0.0561 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][349/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2368 |hm_loss 0.8122 |wh_loss 3.6866 |off_loss 0.0559 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][350/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2334 |hm_loss 0.8100 |wh_loss 3.6761 |off_loss 0.0558 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][351/2110]|Tot: 0:00:07 |ETA: 0:00:00 |loss 1.2300 |hm_loss 0.8079 |wh_loss 3.6657 |off_loss 0.0556 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][352/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.2267 |hm_loss 0.8057 |wh_loss 3.6553 |off_loss 0.0554 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][353/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.2234 |hm_loss 0.8036 |wh_loss 3.6450 |off_loss 0.0553 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][354/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.2201 |hm_loss 0.8015 |wh_loss 3.6347 |off_loss 0.0551 |Data 0.002s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][355/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.2168 |hm_loss 0.7994 |wh_loss 3.6245 |off_loss 0.0550 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][356/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.2136 |hm_loss 0.7973 |wh_loss 3.6143 |off_loss 0.0548 |Data 0.005s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][357/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.2103 |hm_loss 0.7953 |wh_loss 3.6042 |off_loss 0.0547 |Data 0.002s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][358/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.2071 |hm_loss 0.7932 |wh_loss 3.5942 |off_loss 0.0545 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][359/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.2039 |hm_loss 0.7911 |wh_loss 3.5842 |off_loss 0.0544 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][360/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.2007 |hm_loss 0.7891 |wh_loss 3.5743 |off_loss 0.0542 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][361/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1976 |hm_loss 0.7871 |wh_loss 3.5644 |off_loss 0.0541 |Data 0.016s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][362/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1944 |hm_loss 0.7851 |wh_loss 3.5546 |off_loss 0.0539 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][363/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1913 |hm_loss 0.7830 |wh_loss 3.5448 |off_loss 0.0538 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][364/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1882 |hm_loss 0.7810 |wh_loss 3.5351 |off_loss 0.0536 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][365/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1851 |hm_loss 0.7791 |wh_loss 3.5254 |off_loss 0.0535 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][366/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1820 |hm_loss 0.7771 |wh_loss 3.5158 |off_loss 0.0533 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][367/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1789 |hm_loss 0.7751 |wh_loss 3.5063 |off_loss 0.0532 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][368/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1759 |hm_loss 0.7732 |wh_loss 3.4968 |off_loss 0.0530 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][369/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1728 |hm_loss 0.7712 |wh_loss 3.4873 |off_loss 0.0529 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][370/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1698 |hm_loss 0.7693 |wh_loss 3.4779 |off_loss 0.0527 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][371/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1668 |hm_loss 0.7673 |wh_loss 3.4686 |off_loss 0.0526 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][372/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1638 |hm_loss 0.7654 |wh_loss 3.4593 |off_loss 0.0525 |Data 0.000s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][373/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1608 |hm_loss 0.7635 |wh_loss 3.4500 |off_loss 0.0523 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][374/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1579 |hm_loss 0.7616 |wh_loss 3.4408 |off_loss 0.0522 |Data 0.001s(0.002s) |Net 0.023s
ctdet/coco_dla| val: [5][375/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1549 |hm_loss 0.7597 |wh_loss 3.4317 |off_loss 0.0520 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][376/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1520 |hm_loss 0.7579 |wh_loss 3.4226 |off_loss 0.0519 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][377/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1491 |hm_loss 0.7560 |wh_loss 3.4135 |off_loss 0.0518 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][378/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1462 |hm_loss 0.7541 |wh_loss 3.4045 |off_loss 0.0516 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][379/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1433 |hm_loss 0.7523 |wh_loss 3.3956 |off_loss 0.0515 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][380/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1405 |hm_loss 0.7505 |wh_loss 3.3866 |off_loss 0.0514 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][381/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1376 |hm_loss 0.7486 |wh_loss 3.3778 |off_loss 0.0512 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][382/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1348 |hm_loss 0.7468 |wh_loss 3.3690 |off_loss 0.0511 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][383/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1320 |hm_loss 0.7450 |wh_loss 3.3602 |off_loss 0.0510 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][384/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1292 |hm_loss 0.7432 |wh_loss 3.3515 |off_loss 0.0508 |Data 0.000s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][385/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1264 |hm_loss 0.7414 |wh_loss 3.3428 |off_loss 0.0507 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][386/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1236 |hm_loss 0.7396 |wh_loss 3.3341 |off_loss 0.0506 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][387/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1209 |hm_loss 0.7379 |wh_loss 3.3255 |off_loss 0.0504 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][388/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1181 |hm_loss 0.7361 |wh_loss 3.3170 |off_loss 0.0503 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][389/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1154 |hm_loss 0.7344 |wh_loss 3.3085 |off_loss 0.0502 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][390/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1127 |hm_loss 0.7326 |wh_loss 3.3000 |off_loss 0.0500 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][391/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1100 |hm_loss 0.7309 |wh_loss 3.2916 |off_loss 0.0499 |Data 0.001s(0.001s) |Net 0.023s
ctdet/coco_dla| val: [5][392/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1073 |hm_loss 0.7291 |wh_loss 3.2832 |off_loss 0.0498 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][393/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1046 |hm_loss 0.7274 |wh_loss 3.2749 |off_loss 0.0497 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][394/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.1019 |hm_loss 0.7257 |wh_loss 3.2666 |off_loss 0.0495 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][395/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.0993 |hm_loss 0.7240 |wh_loss 3.2584 |off_loss 0.0494 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][396/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.0966 |hm_loss 0.7223 |wh_loss 3.2502 |off_loss 0.0493 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][397/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.0940 |hm_loss 0.7207 |wh_loss 3.2420 |off_loss 0.0492 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][398/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.0914 |hm_loss 0.7190 |wh_loss 3.2339 |off_loss 0.0490 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][399/2110]|Tot: 0:00:08 |ETA: 0:00:00 |loss 1.0888 |hm_loss 0.7173 |wh_loss 3.2258 |off_loss 0.0489 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][400/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0862 |hm_loss 0.7156 |wh_loss 3.2177 |off_loss 0.0488 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][401/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0837 |hm_loss 0.7140 |wh_loss 3.2097 |off_loss 0.0487 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][402/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0811 |hm_loss 0.7124 |wh_loss 3.2018 |off_loss 0.0486 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][403/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0785 |hm_loss 0.7107 |wh_loss 3.1938 |off_loss 0.0484 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][404/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0760 |hm_loss 0.7091 |wh_loss 3.1860 |off_loss 0.0483 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][405/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0735 |hm_loss 0.7075 |wh_loss 3.1781 |off_loss 0.0482 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][406/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0710 |hm_loss 0.7059 |wh_loss 3.1703 |off_loss 0.0481 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][407/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0685 |hm_loss 0.7043 |wh_loss 3.1625 |off_loss 0.0480 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][408/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0660 |hm_loss 0.7027 |wh_loss 3.1548 |off_loss 0.0478 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][409/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0636 |hm_loss 0.7011 |wh_loss 3.1471 |off_loss 0.0477 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][410/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0611 |hm_loss 0.6996 |wh_loss 3.1394 |off_loss 0.0476 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][411/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0587 |hm_loss 0.6980 |wh_loss 3.1318 |off_loss 0.0475 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][412/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0563 |hm_loss 0.6964 |wh_loss 3.1242 |off_loss 0.0474 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][413/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0538 |hm_loss 0.6949 |wh_loss 3.1167 |off_loss 0.0473 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][414/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0514 |hm_loss 0.6934 |wh_loss 3.1092 |off_loss 0.0472 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][415/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0490 |hm_loss 0.6918 |wh_loss 3.1017 |off_loss 0.0470 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][416/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0467 |hm_loss 0.6903 |wh_loss 3.0943 |off_loss 0.0469 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][417/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0443 |hm_loss 0.6888 |wh_loss 3.0869 |off_loss 0.0468 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][418/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0419 |hm_loss 0.6873 |wh_loss 3.0795 |off_loss 0.0467 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][419/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0396 |hm_loss 0.6858 |wh_loss 3.0722 |off_loss 0.0466 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][420/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0372 |hm_loss 0.6843 |wh_loss 3.0649 |off_loss 0.0465 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][421/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0349 |hm_loss 0.6828 |wh_loss 3.0576 |off_loss 0.0464 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][422/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0326 |hm_loss 0.6813 |wh_loss 3.0504 |off_loss 0.0463 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][423/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0303 |hm_loss 0.6798 |wh_loss 3.0432 |off_loss 0.0462 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][424/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0280 |hm_loss 0.6783 |wh_loss 3.0360 |off_loss 0.0460 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][425/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0257 |hm_loss 0.6769 |wh_loss 3.0289 |off_loss 0.0459 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][426/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0234 |hm_loss 0.6754 |wh_loss 3.0218 |off_loss 0.0458 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][427/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0212 |hm_loss 0.6740 |wh_loss 3.0147 |off_loss 0.0457 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][428/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0189 |hm_loss 0.6725 |wh_loss 3.0077 |off_loss 0.0456 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][429/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0167 |hm_loss 0.6711 |wh_loss 3.0007 |off_loss 0.0455 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][430/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0145 |hm_loss 0.6697 |wh_loss 2.9938 |off_loss 0.0454 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][431/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0122 |hm_loss 0.6682 |wh_loss 2.9868 |off_loss 0.0453 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][432/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0100 |hm_loss 0.6668 |wh_loss 2.9799 |off_loss 0.0452 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][433/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0078 |hm_loss 0.6654 |wh_loss 2.9731 |off_loss 0.0451 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][434/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0056 |hm_loss 0.6640 |wh_loss 2.9662 |off_loss 0.0450 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][435/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0174 |hm_loss 0.6713 |wh_loss 3.0026 |off_loss 0.0458 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][436/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0280 |hm_loss 0.6799 |wh_loss 3.0201 |off_loss 0.0462 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][437/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0425 |hm_loss 0.6885 |wh_loss 3.0671 |off_loss 0.0472 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][438/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0402 |hm_loss 0.6871 |wh_loss 3.0601 |off_loss 0.0471 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][439/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0380 |hm_loss 0.6857 |wh_loss 3.0532 |off_loss 0.0470 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][440/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0357 |hm_loss 0.6842 |wh_loss 3.0462 |off_loss 0.0469 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][441/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0335 |hm_loss 0.6828 |wh_loss 3.0393 |off_loss 0.0468 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][442/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0313 |hm_loss 0.6814 |wh_loss 3.0325 |off_loss 0.0467 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][443/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0291 |hm_loss 0.6800 |wh_loss 3.0256 |off_loss 0.0466 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][444/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0269 |hm_loss 0.6786 |wh_loss 3.0188 |off_loss 0.0465 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][445/2110]|Tot: 0:00:09 |ETA: 0:00:00 |loss 1.0247 |hm_loss 0.6772 |wh_loss 3.0121 |off_loss 0.0464 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][446/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0226 |hm_loss 0.6758 |wh_loss 3.0053 |off_loss 0.0463 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][447/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0204 |hm_loss 0.6744 |wh_loss 2.9986 |off_loss 0.0462 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][448/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0183 |hm_loss 0.6730 |wh_loss 2.9920 |off_loss 0.0461 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][449/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0161 |hm_loss 0.6716 |wh_loss 2.9853 |off_loss 0.0460 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][450/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0140 |hm_loss 0.6703 |wh_loss 2.9787 |off_loss 0.0459 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][451/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0119 |hm_loss 0.6689 |wh_loss 2.9721 |off_loss 0.0457 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][452/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0098 |hm_loss 0.6676 |wh_loss 2.9655 |off_loss 0.0456 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][453/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0077 |hm_loss 0.6662 |wh_loss 2.9590 |off_loss 0.0455 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][454/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0056 |hm_loss 0.6649 |wh_loss 2.9525 |off_loss 0.0454 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][455/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0035 |hm_loss 0.6635 |wh_loss 2.9460 |off_loss 0.0453 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][456/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0014 |hm_loss 0.6622 |wh_loss 2.9396 |off_loss 0.0452 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][457/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9993 |hm_loss 0.6609 |wh_loss 2.9332 |off_loss 0.0452 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][458/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9973 |hm_loss 0.6595 |wh_loss 2.9268 |off_loss 0.0451 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][459/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9952 |hm_loss 0.6582 |wh_loss 2.9204 |off_loss 0.0450 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][460/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9932 |hm_loss 0.6569 |wh_loss 2.9141 |off_loss 0.0449 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][461/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9911 |hm_loss 0.6556 |wh_loss 2.9078 |off_loss 0.0448 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][462/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9891 |hm_loss 0.6543 |wh_loss 2.9015 |off_loss 0.0447 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][463/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9871 |hm_loss 0.6530 |wh_loss 2.8952 |off_loss 0.0446 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][464/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9851 |hm_loss 0.6517 |wh_loss 2.8890 |off_loss 0.0445 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][465/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9831 |hm_loss 0.6504 |wh_loss 2.8828 |off_loss 0.0444 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][466/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9811 |hm_loss 0.6491 |wh_loss 2.8766 |off_loss 0.0443 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][467/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9791 |hm_loss 0.6479 |wh_loss 2.8705 |off_loss 0.0442 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][468/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9771 |hm_loss 0.6466 |wh_loss 2.8644 |off_loss 0.0441 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][469/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9752 |hm_loss 0.6453 |wh_loss 2.8583 |off_loss 0.0440 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][470/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9732 |hm_loss 0.6441 |wh_loss 2.8522 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][471/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9713 |hm_loss 0.6428 |wh_loss 2.8462 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][472/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9693 |hm_loss 0.6416 |wh_loss 2.8401 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][473/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9674 |hm_loss 0.6404 |wh_loss 2.8341 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][474/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9655 |hm_loss 0.6391 |wh_loss 2.8282 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][475/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9780 |hm_loss 0.6463 |wh_loss 2.8730 |off_loss 0.0444 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][476/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9882 |hm_loss 0.6543 |wh_loss 2.8905 |off_loss 0.0448 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][477/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0001 |hm_loss 0.6622 |wh_loss 2.9246 |off_loss 0.0454 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][478/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0110 |hm_loss 0.6701 |wh_loss 2.9540 |off_loss 0.0455 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][479/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0090 |hm_loss 0.6689 |wh_loss 2.9479 |off_loss 0.0454 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][480/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0070 |hm_loss 0.6676 |wh_loss 2.9418 |off_loss 0.0453 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][481/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0051 |hm_loss 0.6663 |wh_loss 2.9357 |off_loss 0.0452 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][482/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0031 |hm_loss 0.6650 |wh_loss 2.9296 |off_loss 0.0451 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][483/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 1.0011 |hm_loss 0.6638 |wh_loss 2.9235 |off_loss 0.0450 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][484/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9992 |hm_loss 0.6625 |wh_loss 2.9175 |off_loss 0.0449 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][485/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9972 |hm_loss 0.6613 |wh_loss 2.9115 |off_loss 0.0448 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][486/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9953 |hm_loss 0.6600 |wh_loss 2.9055 |off_loss 0.0447 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][487/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9934 |hm_loss 0.6588 |wh_loss 2.8996 |off_loss 0.0446 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][488/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9915 |hm_loss 0.6575 |wh_loss 2.8936 |off_loss 0.0445 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][489/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9895 |hm_loss 0.6563 |wh_loss 2.8877 |off_loss 0.0445 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][490/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9876 |hm_loss 0.6551 |wh_loss 2.8818 |off_loss 0.0444 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][491/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9857 |hm_loss 0.6539 |wh_loss 2.8760 |off_loss 0.0443 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][492/2110]|Tot: 0:00:10 |ETA: 0:00:00 |loss 0.9839 |hm_loss 0.6527 |wh_loss 2.8702 |off_loss 0.0442 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][493/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9820 |hm_loss 0.6514 |wh_loss 2.8643 |off_loss 0.0441 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][494/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9801 |hm_loss 0.6502 |wh_loss 2.8586 |off_loss 0.0440 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][495/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9782 |hm_loss 0.6490 |wh_loss 2.8528 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][496/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9764 |hm_loss 0.6478 |wh_loss 2.8471 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][497/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9745 |hm_loss 0.6466 |wh_loss 2.8413 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][498/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9727 |hm_loss 0.6455 |wh_loss 2.8356 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][499/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9708 |hm_loss 0.6443 |wh_loss 2.8300 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][500/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9690 |hm_loss 0.6431 |wh_loss 2.8243 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][501/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9672 |hm_loss 0.6419 |wh_loss 2.8187 |off_loss 0.0434 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][502/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9654 |hm_loss 0.6408 |wh_loss 2.8131 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][503/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9636 |hm_loss 0.6396 |wh_loss 2.8075 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][504/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9618 |hm_loss 0.6384 |wh_loss 2.8020 |off_loss 0.0431 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][505/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9600 |hm_loss 0.6373 |wh_loss 2.7964 |off_loss 0.0430 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][506/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9582 |hm_loss 0.6361 |wh_loss 2.7909 |off_loss 0.0430 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][507/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9564 |hm_loss 0.6350 |wh_loss 2.7854 |off_loss 0.0429 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][508/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9546 |hm_loss 0.6338 |wh_loss 2.7799 |off_loss 0.0428 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][509/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9529 |hm_loss 0.6327 |wh_loss 2.7745 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][510/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9511 |hm_loss 0.6316 |wh_loss 2.7691 |off_loss 0.0426 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][511/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9493 |hm_loss 0.6304 |wh_loss 2.7636 |off_loss 0.0425 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][512/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9476 |hm_loss 0.6293 |wh_loss 2.7583 |off_loss 0.0425 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][513/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9459 |hm_loss 0.6282 |wh_loss 2.7529 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][514/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9441 |hm_loss 0.6271 |wh_loss 2.7475 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][515/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9424 |hm_loss 0.6260 |wh_loss 2.7422 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][516/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9407 |hm_loss 0.6249 |wh_loss 2.7369 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][517/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9390 |hm_loss 0.6238 |wh_loss 2.7316 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][518/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9373 |hm_loss 0.6227 |wh_loss 2.7264 |off_loss 0.0420 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][519/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9356 |hm_loss 0.6216 |wh_loss 2.7211 |off_loss 0.0419 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][520/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9339 |hm_loss 0.6205 |wh_loss 2.7159 |off_loss 0.0418 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][521/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9322 |hm_loss 0.6194 |wh_loss 2.7107 |off_loss 0.0417 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][522/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9305 |hm_loss 0.6183 |wh_loss 2.7055 |off_loss 0.0417 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][523/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9288 |hm_loss 0.6172 |wh_loss 2.7004 |off_loss 0.0416 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][524/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9272 |hm_loss 0.6161 |wh_loss 2.6952 |off_loss 0.0415 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][525/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9255 |hm_loss 0.6151 |wh_loss 2.6901 |off_loss 0.0414 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][526/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9238 |hm_loss 0.6140 |wh_loss 2.6850 |off_loss 0.0413 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][527/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9222 |hm_loss 0.6130 |wh_loss 2.6799 |off_loss 0.0413 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][528/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9206 |hm_loss 0.6119 |wh_loss 2.6748 |off_loss 0.0412 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][529/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9189 |hm_loss 0.6108 |wh_loss 2.6698 |off_loss 0.0411 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][530/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9173 |hm_loss 0.6098 |wh_loss 2.6648 |off_loss 0.0410 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][531/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9157 |hm_loss 0.6087 |wh_loss 2.6598 |off_loss 0.0409 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][532/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9140 |hm_loss 0.6077 |wh_loss 2.6548 |off_loss 0.0409 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][533/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9124 |hm_loss 0.6067 |wh_loss 2.6498 |off_loss 0.0408 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][534/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9108 |hm_loss 0.6056 |wh_loss 2.6448 |off_loss 0.0407 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][535/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9092 |hm_loss 0.6046 |wh_loss 2.6399 |off_loss 0.0406 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][536/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9076 |hm_loss 0.6036 |wh_loss 2.6350 |off_loss 0.0406 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][537/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9060 |hm_loss 0.6025 |wh_loss 2.6301 |off_loss 0.0405 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][538/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9045 |hm_loss 0.6015 |wh_loss 2.6252 |off_loss 0.0404 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][539/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9029 |hm_loss 0.6005 |wh_loss 2.6203 |off_loss 0.0403 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][540/2110]|Tot: 0:00:11 |ETA: 0:00:00 |loss 0.9013 |hm_loss 0.5995 |wh_loss 2.6155 |off_loss 0.0403 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][541/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8998 |hm_loss 0.5985 |wh_loss 2.6107 |off_loss 0.0402 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][542/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8983 |hm_loss 0.5976 |wh_loss 2.6059 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][543/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8967 |hm_loss 0.5966 |wh_loss 2.6011 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][544/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8952 |hm_loss 0.5956 |wh_loss 2.5963 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][545/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8937 |hm_loss 0.5947 |wh_loss 2.5916 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][546/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8922 |hm_loss 0.5937 |wh_loss 2.5868 |off_loss 0.0398 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][547/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8907 |hm_loss 0.5928 |wh_loss 2.5821 |off_loss 0.0398 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][548/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8892 |hm_loss 0.5918 |wh_loss 2.5774 |off_loss 0.0397 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][549/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8878 |hm_loss 0.5909 |wh_loss 2.5727 |off_loss 0.0396 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][550/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8863 |hm_loss 0.5899 |wh_loss 2.5680 |off_loss 0.0395 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][551/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8848 |hm_loss 0.5890 |wh_loss 2.5634 |off_loss 0.0395 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][552/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8833 |hm_loss 0.5880 |wh_loss 2.5587 |off_loss 0.0394 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][553/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8818 |hm_loss 0.5871 |wh_loss 2.5541 |off_loss 0.0393 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][554/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8803 |hm_loss 0.5861 |wh_loss 2.5495 |off_loss 0.0392 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][555/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8788 |hm_loss 0.5851 |wh_loss 2.5449 |off_loss 0.0392 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][556/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8773 |hm_loss 0.5842 |wh_loss 2.5404 |off_loss 0.0391 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][557/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8758 |hm_loss 0.5832 |wh_loss 2.5358 |off_loss 0.0390 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][558/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8744 |hm_loss 0.5823 |wh_loss 2.5313 |off_loss 0.0390 |Data 0.007s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][559/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8729 |hm_loss 0.5813 |wh_loss 2.5268 |off_loss 0.0389 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][560/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8714 |hm_loss 0.5804 |wh_loss 2.5223 |off_loss 0.0388 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][561/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8700 |hm_loss 0.5794 |wh_loss 2.5178 |off_loss 0.0388 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][562/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8685 |hm_loss 0.5785 |wh_loss 2.5133 |off_loss 0.0387 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][563/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8671 |hm_loss 0.5776 |wh_loss 2.5088 |off_loss 0.0386 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][564/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8656 |hm_loss 0.5766 |wh_loss 2.5044 |off_loss 0.0386 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][565/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8642 |hm_loss 0.5757 |wh_loss 2.5000 |off_loss 0.0385 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][566/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8627 |hm_loss 0.5748 |wh_loss 2.4956 |off_loss 0.0384 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][567/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8613 |hm_loss 0.5738 |wh_loss 2.4912 |off_loss 0.0384 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][568/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8599 |hm_loss 0.5729 |wh_loss 2.4868 |off_loss 0.0383 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][569/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8585 |hm_loss 0.5720 |wh_loss 2.4824 |off_loss 0.0382 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][570/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8571 |hm_loss 0.5711 |wh_loss 2.4781 |off_loss 0.0381 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][571/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8557 |hm_loss 0.5702 |wh_loss 2.4738 |off_loss 0.0381 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][572/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8543 |hm_loss 0.5693 |wh_loss 2.4694 |off_loss 0.0380 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][573/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8529 |hm_loss 0.5684 |wh_loss 2.4651 |off_loss 0.0379 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][574/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8515 |hm_loss 0.5675 |wh_loss 2.4608 |off_loss 0.0379 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][575/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8501 |hm_loss 0.5666 |wh_loss 2.4566 |off_loss 0.0378 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][576/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8487 |hm_loss 0.5657 |wh_loss 2.4523 |off_loss 0.0378 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][577/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8473 |hm_loss 0.5648 |wh_loss 2.4481 |off_loss 0.0377 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][578/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8460 |hm_loss 0.5640 |wh_loss 2.4438 |off_loss 0.0376 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][579/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8446 |hm_loss 0.5631 |wh_loss 2.4396 |off_loss 0.0376 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][580/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8432 |hm_loss 0.5622 |wh_loss 2.4354 |off_loss 0.0375 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][581/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8419 |hm_loss 0.5613 |wh_loss 2.4312 |off_loss 0.0374 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][582/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8405 |hm_loss 0.5605 |wh_loss 2.4271 |off_loss 0.0374 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][583/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8392 |hm_loss 0.5596 |wh_loss 2.4229 |off_loss 0.0373 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][584/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8378 |hm_loss 0.5587 |wh_loss 2.4188 |off_loss 0.0372 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][585/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8365 |hm_loss 0.5579 |wh_loss 2.4147 |off_loss 0.0372 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][586/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8352 |hm_loss 0.5570 |wh_loss 2.4105 |off_loss 0.0371 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][587/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8338 |hm_loss 0.5561 |wh_loss 2.4064 |off_loss 0.0370 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][588/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8325 |hm_loss 0.5553 |wh_loss 2.4024 |off_loss 0.0370 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][589/2110]|Tot: 0:00:12 |ETA: 0:00:00 |loss 0.8312 |hm_loss 0.5544 |wh_loss 2.3983 |off_loss 0.0369 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][590/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8299 |hm_loss 0.5536 |wh_loss 2.3942 |off_loss 0.0369 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][591/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8286 |hm_loss 0.5527 |wh_loss 2.3902 |off_loss 0.0368 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][592/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8273 |hm_loss 0.5519 |wh_loss 2.3862 |off_loss 0.0367 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][593/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8260 |hm_loss 0.5511 |wh_loss 2.3821 |off_loss 0.0367 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][594/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8247 |hm_loss 0.5502 |wh_loss 2.3781 |off_loss 0.0366 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][595/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8234 |hm_loss 0.5494 |wh_loss 2.3741 |off_loss 0.0365 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][596/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8221 |hm_loss 0.5486 |wh_loss 2.3702 |off_loss 0.0365 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][597/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8208 |hm_loss 0.5477 |wh_loss 2.3662 |off_loss 0.0364 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][598/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8195 |hm_loss 0.5469 |wh_loss 2.3622 |off_loss 0.0364 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][599/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8182 |hm_loss 0.5461 |wh_loss 2.3583 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][600/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8267 |hm_loss 0.5511 |wh_loss 2.3884 |off_loss 0.0367 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][601/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8353 |hm_loss 0.5565 |wh_loss 2.4203 |off_loss 0.0368 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][602/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8341 |hm_loss 0.5557 |wh_loss 2.4163 |off_loss 0.0367 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][603/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8328 |hm_loss 0.5548 |wh_loss 2.4123 |off_loss 0.0367 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][604/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8315 |hm_loss 0.5540 |wh_loss 2.4083 |off_loss 0.0366 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][605/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8302 |hm_loss 0.5532 |wh_loss 2.4043 |off_loss 0.0366 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][606/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8289 |hm_loss 0.5524 |wh_loss 2.4004 |off_loss 0.0365 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][607/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8276 |hm_loss 0.5516 |wh_loss 2.3964 |off_loss 0.0364 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][608/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8264 |hm_loss 0.5507 |wh_loss 2.3925 |off_loss 0.0364 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][609/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8251 |hm_loss 0.5499 |wh_loss 2.3886 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][610/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8238 |hm_loss 0.5491 |wh_loss 2.3846 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][611/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8226 |hm_loss 0.5483 |wh_loss 2.3807 |off_loss 0.0362 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][612/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8326 |hm_loss 0.5546 |wh_loss 2.4164 |off_loss 0.0364 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][613/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8407 |hm_loss 0.5596 |wh_loss 2.4460 |off_loss 0.0365 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][614/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8490 |hm_loss 0.5649 |wh_loss 2.4704 |off_loss 0.0371 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][615/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8571 |hm_loss 0.5704 |wh_loss 2.4898 |off_loss 0.0377 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][616/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8649 |hm_loss 0.5762 |wh_loss 2.5060 |off_loss 0.0380 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][617/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8721 |hm_loss 0.5821 |wh_loss 2.5175 |off_loss 0.0382 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][618/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8794 |hm_loss 0.5881 |wh_loss 2.5236 |off_loss 0.0389 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][619/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8857 |hm_loss 0.5940 |wh_loss 2.5253 |off_loss 0.0391 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][620/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.8927 |hm_loss 0.5999 |wh_loss 2.5342 |off_loss 0.0393 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][621/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9009 |hm_loss 0.6058 |wh_loss 2.5527 |off_loss 0.0398 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][622/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9098 |hm_loss 0.6118 |wh_loss 2.5740 |off_loss 0.0406 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][623/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9193 |hm_loss 0.6178 |wh_loss 2.6009 |off_loss 0.0415 |Data 0.006s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][624/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9283 |hm_loss 0.6237 |wh_loss 2.6243 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][625/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9366 |hm_loss 0.6295 |wh_loss 2.6453 |off_loss 0.0426 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][626/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9352 |hm_loss 0.6286 |wh_loss 2.6411 |off_loss 0.0425 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][627/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9338 |hm_loss 0.6277 |wh_loss 2.6369 |off_loss 0.0425 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][628/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9324 |hm_loss 0.6268 |wh_loss 2.6327 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][629/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9310 |hm_loss 0.6259 |wh_loss 2.6285 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][630/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9296 |hm_loss 0.6249 |wh_loss 2.6243 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][631/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9283 |hm_loss 0.6240 |wh_loss 2.6202 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][632/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9269 |hm_loss 0.6231 |wh_loss 2.6161 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][633/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9348 |hm_loss 0.6278 |wh_loss 2.6454 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][634/2110]|Tot: 0:00:13 |ETA: 0:00:00 |loss 0.9424 |hm_loss 0.6325 |wh_loss 2.6710 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][635/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 0.9496 |hm_loss 0.6375 |wh_loss 2.6907 |off_loss 0.0430 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][636/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 0.9572 |hm_loss 0.6428 |wh_loss 2.7123 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][637/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 0.9655 |hm_loss 0.6486 |wh_loss 2.7360 |off_loss 0.0434 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][638/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 0.9734 |hm_loss 0.6544 |wh_loss 2.7510 |off_loss 0.0440 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][639/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 0.9805 |hm_loss 0.6602 |wh_loss 2.7583 |off_loss 0.0444 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][640/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 0.9887 |hm_loss 0.6660 |wh_loss 2.7791 |off_loss 0.0448 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][641/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 0.9978 |hm_loss 0.6719 |wh_loss 2.8056 |off_loss 0.0453 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][642/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0070 |hm_loss 0.6777 |wh_loss 2.8301 |off_loss 0.0463 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][643/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0160 |hm_loss 0.6835 |wh_loss 2.8544 |off_loss 0.0471 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][644/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0244 |hm_loss 0.6893 |wh_loss 2.8740 |off_loss 0.0477 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][645/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0229 |hm_loss 0.6883 |wh_loss 2.8695 |off_loss 0.0476 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][646/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0214 |hm_loss 0.6873 |wh_loss 2.8651 |off_loss 0.0475 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][647/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0199 |hm_loss 0.6864 |wh_loss 2.8607 |off_loss 0.0475 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][648/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0184 |hm_loss 0.6854 |wh_loss 2.8563 |off_loss 0.0474 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][649/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0169 |hm_loss 0.6844 |wh_loss 2.8519 |off_loss 0.0473 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][650/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0155 |hm_loss 0.6835 |wh_loss 2.8475 |off_loss 0.0472 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][651/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0235 |hm_loss 0.6882 |wh_loss 2.8773 |off_loss 0.0476 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][652/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0307 |hm_loss 0.6930 |wh_loss 2.9004 |off_loss 0.0477 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][653/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0379 |hm_loss 0.6980 |wh_loss 2.9164 |off_loss 0.0483 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][654/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0443 |hm_loss 0.7032 |wh_loss 2.9274 |off_loss 0.0483 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][655/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0510 |hm_loss 0.7086 |wh_loss 2.9342 |off_loss 0.0489 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][656/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0567 |hm_loss 0.7141 |wh_loss 2.9344 |off_loss 0.0492 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][657/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0634 |hm_loss 0.7196 |wh_loss 2.9397 |off_loss 0.0499 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][658/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0704 |hm_loss 0.7250 |wh_loss 2.9528 |off_loss 0.0501 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][659/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0779 |hm_loss 0.7306 |wh_loss 2.9686 |off_loss 0.0505 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][660/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0856 |hm_loss 0.7362 |wh_loss 2.9844 |off_loss 0.0510 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][661/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0932 |hm_loss 0.7417 |wh_loss 3.0002 |off_loss 0.0515 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][662/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0917 |hm_loss 0.7407 |wh_loss 2.9957 |off_loss 0.0514 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][663/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0901 |hm_loss 0.7396 |wh_loss 2.9911 |off_loss 0.0514 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][664/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0886 |hm_loss 0.7386 |wh_loss 2.9867 |off_loss 0.0513 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][665/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0870 |hm_loss 0.7376 |wh_loss 2.9822 |off_loss 0.0512 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][666/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0855 |hm_loss 0.7366 |wh_loss 2.9777 |off_loss 0.0511 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][667/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0839 |hm_loss 0.7355 |wh_loss 2.9732 |off_loss 0.0511 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][668/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0824 |hm_loss 0.7345 |wh_loss 2.9688 |off_loss 0.0510 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][669/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0808 |hm_loss 0.7335 |wh_loss 2.9644 |off_loss 0.0509 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][670/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0793 |hm_loss 0.7325 |wh_loss 2.9599 |off_loss 0.0508 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][671/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0778 |hm_loss 0.7315 |wh_loss 2.9555 |off_loss 0.0508 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][672/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0763 |hm_loss 0.7305 |wh_loss 2.9511 |off_loss 0.0507 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][673/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0747 |hm_loss 0.7295 |wh_loss 2.9468 |off_loss 0.0506 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][674/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0732 |hm_loss 0.7285 |wh_loss 2.9424 |off_loss 0.0505 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][675/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0717 |hm_loss 0.7275 |wh_loss 2.9381 |off_loss 0.0505 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][676/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0702 |hm_loss 0.7265 |wh_loss 2.9337 |off_loss 0.0504 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][677/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0687 |hm_loss 0.7255 |wh_loss 2.9294 |off_loss 0.0503 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][678/2110]|Tot: 0:00:14 |ETA: 0:00:00 |loss 1.0672 |hm_loss 0.7245 |wh_loss 2.9251 |off_loss 0.0502 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][679/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0657 |hm_loss 0.7235 |wh_loss 2.9208 |off_loss 0.0502 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][680/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0642 |hm_loss 0.7225 |wh_loss 2.9165 |off_loss 0.0501 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][681/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0627 |hm_loss 0.7215 |wh_loss 2.9122 |off_loss 0.0500 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][682/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0613 |hm_loss 0.7205 |wh_loss 2.9079 |off_loss 0.0499 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][683/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0598 |hm_loss 0.7196 |wh_loss 2.9037 |off_loss 0.0499 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][684/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0583 |hm_loss 0.7186 |wh_loss 2.8994 |off_loss 0.0498 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][685/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0569 |hm_loss 0.7176 |wh_loss 2.8952 |off_loss 0.0497 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][686/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0554 |hm_loss 0.7167 |wh_loss 2.8910 |off_loss 0.0496 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][687/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0540 |hm_loss 0.7157 |wh_loss 2.8868 |off_loss 0.0496 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][688/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0525 |hm_loss 0.7148 |wh_loss 2.8826 |off_loss 0.0495 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][689/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0511 |hm_loss 0.7138 |wh_loss 2.8784 |off_loss 0.0494 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][690/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0496 |hm_loss 0.7129 |wh_loss 2.8743 |off_loss 0.0494 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][691/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0482 |hm_loss 0.7119 |wh_loss 2.8701 |off_loss 0.0493 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][692/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0468 |hm_loss 0.7110 |wh_loss 2.8660 |off_loss 0.0492 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][693/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0453 |hm_loss 0.7100 |wh_loss 2.8618 |off_loss 0.0491 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][694/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0439 |hm_loss 0.7091 |wh_loss 2.8577 |off_loss 0.0491 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][695/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0425 |hm_loss 0.7081 |wh_loss 2.8536 |off_loss 0.0490 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][696/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0411 |hm_loss 0.7072 |wh_loss 2.8495 |off_loss 0.0489 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][697/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0397 |hm_loss 0.7062 |wh_loss 2.8454 |off_loss 0.0489 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][698/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0382 |hm_loss 0.7053 |wh_loss 2.8414 |off_loss 0.0488 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][699/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0368 |hm_loss 0.7044 |wh_loss 2.8373 |off_loss 0.0487 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][700/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0354 |hm_loss 0.7035 |wh_loss 2.8333 |off_loss 0.0487 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][701/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0340 |hm_loss 0.7025 |wh_loss 2.8292 |off_loss 0.0486 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][702/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0327 |hm_loss 0.7016 |wh_loss 2.8252 |off_loss 0.0485 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][703/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0313 |hm_loss 0.7007 |wh_loss 2.8212 |off_loss 0.0484 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][704/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0299 |hm_loss 0.6998 |wh_loss 2.8172 |off_loss 0.0484 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][705/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0285 |hm_loss 0.6989 |wh_loss 2.8132 |off_loss 0.0483 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][706/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0271 |hm_loss 0.6980 |wh_loss 2.8092 |off_loss 0.0482 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][707/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0257 |hm_loss 0.6970 |wh_loss 2.8053 |off_loss 0.0482 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][708/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0244 |hm_loss 0.6961 |wh_loss 2.8013 |off_loss 0.0481 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][709/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0230 |hm_loss 0.6952 |wh_loss 2.7974 |off_loss 0.0480 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][710/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0216 |hm_loss 0.6943 |wh_loss 2.7934 |off_loss 0.0480 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][711/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0203 |hm_loss 0.6934 |wh_loss 2.7895 |off_loss 0.0479 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][712/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0189 |hm_loss 0.6925 |wh_loss 2.7856 |off_loss 0.0478 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][713/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0176 |hm_loss 0.6916 |wh_loss 2.7817 |off_loss 0.0478 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][714/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0162 |hm_loss 0.6907 |wh_loss 2.7778 |off_loss 0.0477 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][715/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0149 |hm_loss 0.6898 |wh_loss 2.7739 |off_loss 0.0476 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][716/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0135 |hm_loss 0.6890 |wh_loss 2.7700 |off_loss 0.0476 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][717/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0122 |hm_loss 0.6881 |wh_loss 2.7662 |off_loss 0.0475 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][718/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0109 |hm_loss 0.6872 |wh_loss 2.7623 |off_loss 0.0474 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][719/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0095 |hm_loss 0.6863 |wh_loss 2.7585 |off_loss 0.0474 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][720/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0082 |hm_loss 0.6854 |wh_loss 2.7547 |off_loss 0.0473 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][721/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0069 |hm_loss 0.6846 |wh_loss 2.7509 |off_loss 0.0472 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][722/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0056 |hm_loss 0.6837 |wh_loss 2.7471 |off_loss 0.0472 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][723/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0043 |hm_loss 0.6828 |wh_loss 2.7433 |off_loss 0.0471 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][724/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0029 |hm_loss 0.6820 |wh_loss 2.7395 |off_loss 0.0470 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][725/2110]|Tot: 0:00:15 |ETA: 0:00:00 |loss 1.0016 |hm_loss 0.6811 |wh_loss 2.7357 |off_loss 0.0470 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][726/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 1.0003 |hm_loss 0.6802 |wh_loss 2.7319 |off_loss 0.0469 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][727/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9990 |hm_loss 0.6794 |wh_loss 2.7282 |off_loss 0.0468 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][728/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9977 |hm_loss 0.6785 |wh_loss 2.7244 |off_loss 0.0468 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][729/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9964 |hm_loss 0.6777 |wh_loss 2.7207 |off_loss 0.0467 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][730/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9952 |hm_loss 0.6768 |wh_loss 2.7170 |off_loss 0.0467 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][731/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9939 |hm_loss 0.6759 |wh_loss 2.7133 |off_loss 0.0466 |Data 0.006s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][732/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9926 |hm_loss 0.6751 |wh_loss 2.7096 |off_loss 0.0465 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][733/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9913 |hm_loss 0.6743 |wh_loss 2.7059 |off_loss 0.0465 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][734/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9900 |hm_loss 0.6734 |wh_loss 2.7022 |off_loss 0.0464 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][735/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9888 |hm_loss 0.6726 |wh_loss 2.6985 |off_loss 0.0463 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][736/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9875 |hm_loss 0.6717 |wh_loss 2.6949 |off_loss 0.0463 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][737/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9862 |hm_loss 0.6709 |wh_loss 2.6912 |off_loss 0.0462 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][738/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9850 |hm_loss 0.6701 |wh_loss 2.6876 |off_loss 0.0462 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][739/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9837 |hm_loss 0.6692 |wh_loss 2.6839 |off_loss 0.0461 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][740/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9825 |hm_loss 0.6684 |wh_loss 2.6803 |off_loss 0.0460 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][741/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9812 |hm_loss 0.6676 |wh_loss 2.6767 |off_loss 0.0460 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][742/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9799 |hm_loss 0.6667 |wh_loss 2.6731 |off_loss 0.0459 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][743/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9787 |hm_loss 0.6659 |wh_loss 2.6695 |off_loss 0.0458 |Data 0.008s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][744/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9775 |hm_loss 0.6651 |wh_loss 2.6659 |off_loss 0.0458 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][745/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9762 |hm_loss 0.6643 |wh_loss 2.6624 |off_loss 0.0457 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][746/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9750 |hm_loss 0.6634 |wh_loss 2.6588 |off_loss 0.0457 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][747/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9737 |hm_loss 0.6626 |wh_loss 2.6552 |off_loss 0.0456 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][748/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9725 |hm_loss 0.6618 |wh_loss 2.6517 |off_loss 0.0455 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][749/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9713 |hm_loss 0.6610 |wh_loss 2.6482 |off_loss 0.0455 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][750/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9701 |hm_loss 0.6602 |wh_loss 2.6446 |off_loss 0.0454 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][751/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9689 |hm_loss 0.6594 |wh_loss 2.6411 |off_loss 0.0454 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][752/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9676 |hm_loss 0.6586 |wh_loss 2.6376 |off_loss 0.0453 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][753/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9664 |hm_loss 0.6578 |wh_loss 2.6341 |off_loss 0.0452 |Data 0.015s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][754/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9652 |hm_loss 0.6570 |wh_loss 2.6306 |off_loss 0.0452 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][755/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9640 |hm_loss 0.6562 |wh_loss 2.6271 |off_loss 0.0451 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][756/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9628 |hm_loss 0.6554 |wh_loss 2.6237 |off_loss 0.0451 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][757/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9616 |hm_loss 0.6546 |wh_loss 2.6202 |off_loss 0.0450 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][758/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9604 |hm_loss 0.6538 |wh_loss 2.6168 |off_loss 0.0449 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][759/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9592 |hm_loss 0.6530 |wh_loss 2.6133 |off_loss 0.0449 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][760/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9580 |hm_loss 0.6522 |wh_loss 2.6099 |off_loss 0.0448 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][761/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9568 |hm_loss 0.6514 |wh_loss 2.6065 |off_loss 0.0448 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][762/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9557 |hm_loss 0.6507 |wh_loss 2.6030 |off_loss 0.0447 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][763/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9545 |hm_loss 0.6499 |wh_loss 2.5996 |off_loss 0.0446 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][764/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9533 |hm_loss 0.6491 |wh_loss 2.5962 |off_loss 0.0446 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][765/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9521 |hm_loss 0.6483 |wh_loss 2.5928 |off_loss 0.0445 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][766/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9509 |hm_loss 0.6475 |wh_loss 2.5895 |off_loss 0.0445 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][767/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9498 |hm_loss 0.6468 |wh_loss 2.5861 |off_loss 0.0444 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][768/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9486 |hm_loss 0.6460 |wh_loss 2.5827 |off_loss 0.0444 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][769/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9474 |hm_loss 0.6452 |wh_loss 2.5794 |off_loss 0.0443 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][770/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9463 |hm_loss 0.6444 |wh_loss 2.5760 |off_loss 0.0442 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][771/2110]|Tot: 0:00:16 |ETA: 0:00:00 |loss 0.9451 |hm_loss 0.6437 |wh_loss 2.5727 |off_loss 0.0442 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][772/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9440 |hm_loss 0.6429 |wh_loss 2.5694 |off_loss 0.0441 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][773/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9428 |hm_loss 0.6422 |wh_loss 2.5660 |off_loss 0.0441 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][774/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9417 |hm_loss 0.6414 |wh_loss 2.5627 |off_loss 0.0440 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][775/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9405 |hm_loss 0.6406 |wh_loss 2.5594 |off_loss 0.0440 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][776/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9394 |hm_loss 0.6399 |wh_loss 2.5561 |off_loss 0.0439 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][777/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9383 |hm_loss 0.6391 |wh_loss 2.5529 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][778/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9371 |hm_loss 0.6384 |wh_loss 2.5496 |off_loss 0.0438 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][779/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9360 |hm_loss 0.6376 |wh_loss 2.5463 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][780/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9348 |hm_loss 0.6369 |wh_loss 2.5431 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][781/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9337 |hm_loss 0.6361 |wh_loss 2.5398 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][782/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9326 |hm_loss 0.6354 |wh_loss 2.5366 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][783/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9315 |hm_loss 0.6346 |wh_loss 2.5333 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][784/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9303 |hm_loss 0.6339 |wh_loss 2.5301 |off_loss 0.0434 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][785/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9292 |hm_loss 0.6332 |wh_loss 2.5269 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][786/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9281 |hm_loss 0.6324 |wh_loss 2.5237 |off_loss 0.0433 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][787/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9270 |hm_loss 0.6317 |wh_loss 2.5205 |off_loss 0.0433 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][788/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9259 |hm_loss 0.6309 |wh_loss 2.5173 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][789/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9248 |hm_loss 0.6302 |wh_loss 2.5141 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][790/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9237 |hm_loss 0.6295 |wh_loss 2.5109 |off_loss 0.0431 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][791/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9226 |hm_loss 0.6288 |wh_loss 2.5077 |off_loss 0.0431 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][792/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9215 |hm_loss 0.6280 |wh_loss 2.5046 |off_loss 0.0430 |Data 0.006s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][793/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9204 |hm_loss 0.6273 |wh_loss 2.5014 |off_loss 0.0430 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][794/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9193 |hm_loss 0.6266 |wh_loss 2.4983 |off_loss 0.0429 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][795/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9182 |hm_loss 0.6259 |wh_loss 2.4951 |off_loss 0.0428 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][796/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9171 |hm_loss 0.6251 |wh_loss 2.4920 |off_loss 0.0428 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][797/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9161 |hm_loss 0.6244 |wh_loss 2.4889 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][798/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9150 |hm_loss 0.6237 |wh_loss 2.4858 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][799/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9139 |hm_loss 0.6230 |wh_loss 2.4827 |off_loss 0.0426 |Data 0.006s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][800/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9128 |hm_loss 0.6223 |wh_loss 2.4796 |off_loss 0.0426 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][801/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9192 |hm_loss 0.6261 |wh_loss 2.5027 |off_loss 0.0428 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][802/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9251 |hm_loss 0.6299 |wh_loss 2.5222 |off_loss 0.0429 |Data 0.008s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][803/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9309 |hm_loss 0.6340 |wh_loss 2.5353 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][804/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9373 |hm_loss 0.6383 |wh_loss 2.5491 |off_loss 0.0441 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][805/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9429 |hm_loss 0.6428 |wh_loss 2.5587 |off_loss 0.0442 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][806/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9475 |hm_loss 0.6473 |wh_loss 2.5600 |off_loss 0.0441 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][807/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9529 |hm_loss 0.6518 |wh_loss 2.5640 |off_loss 0.0447 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][808/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9591 |hm_loss 0.6563 |wh_loss 2.5780 |off_loss 0.0451 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][809/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9656 |hm_loss 0.6608 |wh_loss 2.5968 |off_loss 0.0452 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][810/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9731 |hm_loss 0.6654 |wh_loss 2.6207 |off_loss 0.0457 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][811/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9796 |hm_loss 0.6699 |wh_loss 2.6381 |off_loss 0.0459 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][812/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9784 |hm_loss 0.6691 |wh_loss 2.6349 |off_loss 0.0458 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][813/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9773 |hm_loss 0.6684 |wh_loss 2.6316 |off_loss 0.0458 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][814/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9761 |hm_loss 0.6676 |wh_loss 2.6284 |off_loss 0.0457 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][815/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9750 |hm_loss 0.6668 |wh_loss 2.6252 |off_loss 0.0457 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][816/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9739 |hm_loss 0.6661 |wh_loss 2.6220 |off_loss 0.0456 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][817/2110]|Tot: 0:00:17 |ETA: 0:00:00 |loss 0.9728 |hm_loss 0.6653 |wh_loss 2.6188 |off_loss 0.0455 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][818/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9716 |hm_loss 0.6646 |wh_loss 2.6156 |off_loss 0.0455 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][819/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9705 |hm_loss 0.6638 |wh_loss 2.6124 |off_loss 0.0454 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][820/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9694 |hm_loss 0.6631 |wh_loss 2.6092 |off_loss 0.0454 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][821/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9683 |hm_loss 0.6623 |wh_loss 2.6060 |off_loss 0.0453 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][822/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9672 |hm_loss 0.6616 |wh_loss 2.6029 |off_loss 0.0453 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][823/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9660 |hm_loss 0.6609 |wh_loss 2.5997 |off_loss 0.0452 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][824/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9649 |hm_loss 0.6601 |wh_loss 2.5966 |off_loss 0.0452 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][825/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9638 |hm_loss 0.6594 |wh_loss 2.5934 |off_loss 0.0451 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][826/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9627 |hm_loss 0.6587 |wh_loss 2.5903 |off_loss 0.0450 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][827/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9616 |hm_loss 0.6579 |wh_loss 2.5871 |off_loss 0.0450 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][828/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9605 |hm_loss 0.6572 |wh_loss 2.5840 |off_loss 0.0449 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][829/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9594 |hm_loss 0.6565 |wh_loss 2.5809 |off_loss 0.0449 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][830/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9583 |hm_loss 0.6557 |wh_loss 2.5778 |off_loss 0.0448 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][831/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9572 |hm_loss 0.6550 |wh_loss 2.5747 |off_loss 0.0448 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][832/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9562 |hm_loss 0.6543 |wh_loss 2.5716 |off_loss 0.0447 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][833/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9551 |hm_loss 0.6536 |wh_loss 2.5685 |off_loss 0.0447 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][834/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9540 |hm_loss 0.6528 |wh_loss 2.5655 |off_loss 0.0446 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][835/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9529 |hm_loss 0.6521 |wh_loss 2.5624 |off_loss 0.0446 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][836/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9518 |hm_loss 0.6514 |wh_loss 2.5593 |off_loss 0.0445 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][837/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9508 |hm_loss 0.6507 |wh_loss 2.5563 |off_loss 0.0445 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][838/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9497 |hm_loss 0.6500 |wh_loss 2.5532 |off_loss 0.0444 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][839/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9486 |hm_loss 0.6493 |wh_loss 2.5502 |off_loss 0.0443 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][840/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9476 |hm_loss 0.6485 |wh_loss 2.5472 |off_loss 0.0443 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][841/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9465 |hm_loss 0.6478 |wh_loss 2.5441 |off_loss 0.0442 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][842/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9454 |hm_loss 0.6471 |wh_loss 2.5411 |off_loss 0.0442 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][843/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9444 |hm_loss 0.6464 |wh_loss 2.5381 |off_loss 0.0441 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][844/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9433 |hm_loss 0.6457 |wh_loss 2.5351 |off_loss 0.0441 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][845/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9423 |hm_loss 0.6450 |wh_loss 2.5321 |off_loss 0.0440 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][846/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9412 |hm_loss 0.6443 |wh_loss 2.5291 |off_loss 0.0440 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][847/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9402 |hm_loss 0.6436 |wh_loss 2.5261 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][848/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9391 |hm_loss 0.6429 |wh_loss 2.5232 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][849/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9381 |hm_loss 0.6422 |wh_loss 2.5202 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][850/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9370 |hm_loss 0.6415 |wh_loss 2.5172 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][851/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9360 |hm_loss 0.6408 |wh_loss 2.5143 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][852/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9350 |hm_loss 0.6402 |wh_loss 2.5113 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][853/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9339 |hm_loss 0.6395 |wh_loss 2.5084 |off_loss 0.0436 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][854/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9329 |hm_loss 0.6388 |wh_loss 2.5054 |off_loss 0.0436 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][855/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9319 |hm_loss 0.6381 |wh_loss 2.5025 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][856/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9308 |hm_loss 0.6374 |wh_loss 2.4996 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][857/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9298 |hm_loss 0.6367 |wh_loss 2.4967 |off_loss 0.0434 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][858/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9288 |hm_loss 0.6361 |wh_loss 2.4938 |off_loss 0.0434 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][859/2110]|Tot: 0:00:18 |ETA: 0:00:00 |loss 0.9278 |hm_loss 0.6354 |wh_loss 2.4909 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][860/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9268 |hm_loss 0.6347 |wh_loss 2.4880 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][861/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9257 |hm_loss 0.6340 |wh_loss 2.4851 |off_loss 0.0432 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][862/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9247 |hm_loss 0.6334 |wh_loss 2.4822 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][863/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9237 |hm_loss 0.6327 |wh_loss 2.4793 |off_loss 0.0431 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][864/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9227 |hm_loss 0.6320 |wh_loss 2.4765 |off_loss 0.0431 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][865/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9217 |hm_loss 0.6313 |wh_loss 2.4736 |off_loss 0.0430 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][866/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9301 |hm_loss 0.6354 |wh_loss 2.5145 |off_loss 0.0432 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][867/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9380 |hm_loss 0.6395 |wh_loss 2.5477 |off_loss 0.0437 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][868/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9446 |hm_loss 0.6435 |wh_loss 2.5699 |off_loss 0.0440 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][869/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9503 |hm_loss 0.6477 |wh_loss 2.5847 |off_loss 0.0441 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][870/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9565 |hm_loss 0.6519 |wh_loss 2.6014 |off_loss 0.0445 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][871/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9637 |hm_loss 0.6559 |wh_loss 2.6295 |off_loss 0.0448 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][872/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9709 |hm_loss 0.6598 |wh_loss 2.6583 |off_loss 0.0452 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][873/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9770 |hm_loss 0.6634 |wh_loss 2.6807 |off_loss 0.0456 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][874/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9759 |hm_loss 0.6627 |wh_loss 2.6777 |off_loss 0.0455 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][875/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9749 |hm_loss 0.6620 |wh_loss 2.6746 |off_loss 0.0454 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][876/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9738 |hm_loss 0.6613 |wh_loss 2.6716 |off_loss 0.0454 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][877/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9728 |hm_loss 0.6606 |wh_loss 2.6685 |off_loss 0.0453 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][878/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9717 |hm_loss 0.6599 |wh_loss 2.6655 |off_loss 0.0453 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][879/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9707 |hm_loss 0.6592 |wh_loss 2.6625 |off_loss 0.0452 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][880/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9696 |hm_loss 0.6585 |wh_loss 2.6594 |off_loss 0.0452 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][881/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9686 |hm_loss 0.6578 |wh_loss 2.6564 |off_loss 0.0451 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][882/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9676 |hm_loss 0.6571 |wh_loss 2.6534 |off_loss 0.0451 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][883/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9665 |hm_loss 0.6564 |wh_loss 2.6504 |off_loss 0.0450 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][884/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9655 |hm_loss 0.6558 |wh_loss 2.6474 |off_loss 0.0450 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][885/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9645 |hm_loss 0.6551 |wh_loss 2.6444 |off_loss 0.0449 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][886/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9634 |hm_loss 0.6544 |wh_loss 2.6415 |off_loss 0.0449 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][887/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9624 |hm_loss 0.6537 |wh_loss 2.6385 |off_loss 0.0448 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][888/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9614 |hm_loss 0.6531 |wh_loss 2.6355 |off_loss 0.0448 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][889/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9604 |hm_loss 0.6524 |wh_loss 2.6325 |off_loss 0.0447 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][890/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9594 |hm_loss 0.6517 |wh_loss 2.6296 |off_loss 0.0447 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][891/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9583 |hm_loss 0.6510 |wh_loss 2.6266 |off_loss 0.0446 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][892/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9573 |hm_loss 0.6504 |wh_loss 2.6237 |off_loss 0.0446 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][893/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9563 |hm_loss 0.6497 |wh_loss 2.6208 |off_loss 0.0445 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][894/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9553 |hm_loss 0.6490 |wh_loss 2.6178 |off_loss 0.0445 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][895/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9543 |hm_loss 0.6484 |wh_loss 2.6149 |off_loss 0.0444 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][896/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9533 |hm_loss 0.6477 |wh_loss 2.6120 |off_loss 0.0444 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][897/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9523 |hm_loss 0.6470 |wh_loss 2.6091 |off_loss 0.0443 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][898/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9513 |hm_loss 0.6464 |wh_loss 2.6062 |off_loss 0.0443 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][899/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9503 |hm_loss 0.6457 |wh_loss 2.6033 |off_loss 0.0442 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][900/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9493 |hm_loss 0.6451 |wh_loss 2.6004 |off_loss 0.0442 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][901/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9483 |hm_loss 0.6444 |wh_loss 2.5975 |off_loss 0.0441 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][902/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9473 |hm_loss 0.6438 |wh_loss 2.5946 |off_loss 0.0441 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][903/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9463 |hm_loss 0.6431 |wh_loss 2.5918 |off_loss 0.0440 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][904/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9453 |hm_loss 0.6425 |wh_loss 2.5889 |off_loss 0.0440 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][905/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9444 |hm_loss 0.6418 |wh_loss 2.5861 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][906/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9434 |hm_loss 0.6412 |wh_loss 2.5832 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][907/2110]|Tot: 0:00:19 |ETA: 0:00:00 |loss 0.9424 |hm_loss 0.6405 |wh_loss 2.5804 |off_loss 0.0438 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][908/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9414 |hm_loss 0.6399 |wh_loss 2.5775 |off_loss 0.0438 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][909/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9405 |hm_loss 0.6392 |wh_loss 2.5747 |off_loss 0.0438 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][910/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9395 |hm_loss 0.6386 |wh_loss 2.5719 |off_loss 0.0437 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][911/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9385 |hm_loss 0.6379 |wh_loss 2.5690 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][912/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9375 |hm_loss 0.6373 |wh_loss 2.5662 |off_loss 0.0436 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][913/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9366 |hm_loss 0.6367 |wh_loss 2.5634 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][914/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9356 |hm_loss 0.6360 |wh_loss 2.5606 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][915/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9346 |hm_loss 0.6354 |wh_loss 2.5578 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][916/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9337 |hm_loss 0.6348 |wh_loss 2.5550 |off_loss 0.0434 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][917/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9327 |hm_loss 0.6341 |wh_loss 2.5523 |off_loss 0.0434 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][918/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9318 |hm_loss 0.6335 |wh_loss 2.5495 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][919/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9308 |hm_loss 0.6329 |wh_loss 2.5467 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][920/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9299 |hm_loss 0.6322 |wh_loss 2.5439 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][921/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9289 |hm_loss 0.6316 |wh_loss 2.5412 |off_loss 0.0432 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][922/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9280 |hm_loss 0.6310 |wh_loss 2.5384 |off_loss 0.0431 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][923/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9270 |hm_loss 0.6304 |wh_loss 2.5357 |off_loss 0.0431 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][924/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9261 |hm_loss 0.6297 |wh_loss 2.5329 |off_loss 0.0430 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][925/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9251 |hm_loss 0.6291 |wh_loss 2.5302 |off_loss 0.0430 |Data 0.011s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][926/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9242 |hm_loss 0.6285 |wh_loss 2.5275 |off_loss 0.0429 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][927/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9233 |hm_loss 0.6279 |wh_loss 2.5248 |off_loss 0.0429 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][928/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9223 |hm_loss 0.6273 |wh_loss 2.5220 |off_loss 0.0429 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][929/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9214 |hm_loss 0.6266 |wh_loss 2.5193 |off_loss 0.0428 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][930/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9205 |hm_loss 0.6260 |wh_loss 2.5166 |off_loss 0.0428 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][931/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9195 |hm_loss 0.6254 |wh_loss 2.5139 |off_loss 0.0427 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][932/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9186 |hm_loss 0.6248 |wh_loss 2.5112 |off_loss 0.0427 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][933/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9177 |hm_loss 0.6242 |wh_loss 2.5085 |off_loss 0.0426 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][934/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9167 |hm_loss 0.6236 |wh_loss 2.5058 |off_loss 0.0426 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][935/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9158 |hm_loss 0.6230 |wh_loss 2.5032 |off_loss 0.0425 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][936/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9149 |hm_loss 0.6224 |wh_loss 2.5005 |off_loss 0.0425 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][937/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9140 |hm_loss 0.6218 |wh_loss 2.4978 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][938/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9131 |hm_loss 0.6212 |wh_loss 2.4952 |off_loss 0.0424 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][939/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9122 |hm_loss 0.6206 |wh_loss 2.4925 |off_loss 0.0424 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][940/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9113 |hm_loss 0.6200 |wh_loss 2.4899 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][941/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9103 |hm_loss 0.6194 |wh_loss 2.4872 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][942/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9094 |hm_loss 0.6188 |wh_loss 2.4846 |off_loss 0.0422 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][943/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9085 |hm_loss 0.6182 |wh_loss 2.4820 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][944/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9076 |hm_loss 0.6176 |wh_loss 2.4793 |off_loss 0.0421 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][945/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9067 |hm_loss 0.6170 |wh_loss 2.4767 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][946/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9058 |hm_loss 0.6164 |wh_loss 2.4741 |off_loss 0.0420 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][947/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9049 |hm_loss 0.6158 |wh_loss 2.4715 |off_loss 0.0420 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][948/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9040 |hm_loss 0.6152 |wh_loss 2.4689 |off_loss 0.0420 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][949/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9031 |hm_loss 0.6146 |wh_loss 2.4663 |off_loss 0.0419 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][950/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9022 |hm_loss 0.6140 |wh_loss 2.4637 |off_loss 0.0419 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][951/2110]|Tot: 0:00:20 |ETA: 0:00:00 |loss 0.9013 |hm_loss 0.6134 |wh_loss 2.4611 |off_loss 0.0418 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][952/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.9005 |hm_loss 0.6128 |wh_loss 2.4585 |off_loss 0.0418 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][953/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8996 |hm_loss 0.6122 |wh_loss 2.4559 |off_loss 0.0417 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][954/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8987 |hm_loss 0.6117 |wh_loss 2.4534 |off_loss 0.0417 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][955/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8978 |hm_loss 0.6111 |wh_loss 2.4508 |off_loss 0.0416 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][956/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8969 |hm_loss 0.6105 |wh_loss 2.4482 |off_loss 0.0416 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][957/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8960 |hm_loss 0.6099 |wh_loss 2.4457 |off_loss 0.0416 |Data 0.008s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][958/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8952 |hm_loss 0.6093 |wh_loss 2.4431 |off_loss 0.0415 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][959/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8943 |hm_loss 0.6088 |wh_loss 2.4406 |off_loss 0.0415 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][960/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8934 |hm_loss 0.6082 |wh_loss 2.4381 |off_loss 0.0414 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][961/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8925 |hm_loss 0.6076 |wh_loss 2.4355 |off_loss 0.0414 |Data 0.010s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][962/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8917 |hm_loss 0.6070 |wh_loss 2.4330 |off_loss 0.0413 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][963/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8908 |hm_loss 0.6065 |wh_loss 2.4305 |off_loss 0.0413 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][964/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8899 |hm_loss 0.6059 |wh_loss 2.4279 |off_loss 0.0413 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][965/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8891 |hm_loss 0.6053 |wh_loss 2.4254 |off_loss 0.0412 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][966/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8882 |hm_loss 0.6047 |wh_loss 2.4229 |off_loss 0.0412 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][967/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8873 |hm_loss 0.6042 |wh_loss 2.4204 |off_loss 0.0411 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][968/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8865 |hm_loss 0.6036 |wh_loss 2.4179 |off_loss 0.0411 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][969/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8856 |hm_loss 0.6030 |wh_loss 2.4154 |off_loss 0.0410 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][970/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8848 |hm_loss 0.6025 |wh_loss 2.4129 |off_loss 0.0410 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][971/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8839 |hm_loss 0.6019 |wh_loss 2.4105 |off_loss 0.0410 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][972/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8831 |hm_loss 0.6014 |wh_loss 2.4080 |off_loss 0.0409 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][973/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8822 |hm_loss 0.6008 |wh_loss 2.4055 |off_loss 0.0409 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][974/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8814 |hm_loss 0.6002 |wh_loss 2.4030 |off_loss 0.0408 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][975/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8805 |hm_loss 0.5997 |wh_loss 2.4006 |off_loss 0.0408 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][976/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8797 |hm_loss 0.5991 |wh_loss 2.3981 |off_loss 0.0407 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][977/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8788 |hm_loss 0.5986 |wh_loss 2.3957 |off_loss 0.0407 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][978/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8780 |hm_loss 0.5980 |wh_loss 2.3932 |off_loss 0.0407 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][979/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8771 |hm_loss 0.5974 |wh_loss 2.3908 |off_loss 0.0406 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][980/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8763 |hm_loss 0.5969 |wh_loss 2.3883 |off_loss 0.0406 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][981/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8755 |hm_loss 0.5963 |wh_loss 2.3859 |off_loss 0.0405 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][982/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8746 |hm_loss 0.5958 |wh_loss 2.3835 |off_loss 0.0405 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][983/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8738 |hm_loss 0.5952 |wh_loss 2.3811 |off_loss 0.0405 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][984/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8730 |hm_loss 0.5947 |wh_loss 2.3786 |off_loss 0.0404 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][985/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8721 |hm_loss 0.5941 |wh_loss 2.3762 |off_loss 0.0404 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][986/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8713 |hm_loss 0.5936 |wh_loss 2.3738 |off_loss 0.0403 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][987/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8705 |hm_loss 0.5930 |wh_loss 2.3714 |off_loss 0.0403 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][988/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8696 |hm_loss 0.5925 |wh_loss 2.3690 |off_loss 0.0403 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][989/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8688 |hm_loss 0.5919 |wh_loss 2.3666 |off_loss 0.0402 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][990/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8680 |hm_loss 0.5914 |wh_loss 2.3642 |off_loss 0.0402 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][991/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8672 |hm_loss 0.5909 |wh_loss 2.3619 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][992/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8664 |hm_loss 0.5903 |wh_loss 2.3595 |off_loss 0.0401 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][993/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8655 |hm_loss 0.5898 |wh_loss 2.3571 |off_loss 0.0401 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][994/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8647 |hm_loss 0.5892 |wh_loss 2.3547 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][995/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8639 |hm_loss 0.5887 |wh_loss 2.3524 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][996/2110]|Tot: 0:00:21 |ETA: 0:00:00 |loss 0.8631 |hm_loss 0.5882 |wh_loss 2.3500 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][997/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.8623 |hm_loss 0.5876 |wh_loss 2.3477 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][998/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.8615 |hm_loss 0.5871 |wh_loss 2.3453 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][999/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.8675 |hm_loss 0.5907 |wh_loss 2.3635 |off_loss 0.0404 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1000/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.8741 |hm_loss 0.5945 |wh_loss 2.3902 |off_loss 0.0406 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1001/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.8785 |hm_loss 0.5973 |wh_loss 2.4043 |off_loss 0.0409 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1002/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.8833 |hm_loss 0.6007 |wh_loss 2.4161 |off_loss 0.0410 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1003/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.8890 |hm_loss 0.6040 |wh_loss 2.4362 |off_loss 0.0414 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1004/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.8957 |hm_loss 0.6076 |wh_loss 2.4621 |off_loss 0.0418 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1005/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9026 |hm_loss 0.6112 |wh_loss 2.4920 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1006/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9088 |hm_loss 0.6148 |wh_loss 2.5167 |off_loss 0.0423 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1007/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9080 |hm_loss 0.6143 |wh_loss 2.5142 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1008/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9071 |hm_loss 0.6137 |wh_loss 2.5117 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1009/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9063 |hm_loss 0.6132 |wh_loss 2.5092 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1010/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9054 |hm_loss 0.6126 |wh_loss 2.5068 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1011/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9105 |hm_loss 0.6157 |wh_loss 2.5246 |off_loss 0.0424 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1012/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9162 |hm_loss 0.6192 |wh_loss 2.5447 |off_loss 0.0424 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1013/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9210 |hm_loss 0.6229 |wh_loss 2.5566 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1014/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9265 |hm_loss 0.6266 |wh_loss 2.5702 |off_loss 0.0429 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1015/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9332 |hm_loss 0.6303 |wh_loss 2.5944 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1016/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9408 |hm_loss 0.6340 |wh_loss 2.6288 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1017/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9399 |hm_loss 0.6335 |wh_loss 2.6262 |off_loss 0.0438 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1018/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9390 |hm_loss 0.6329 |wh_loss 2.6236 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1019/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9382 |hm_loss 0.6323 |wh_loss 2.6210 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1020/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9373 |hm_loss 0.6317 |wh_loss 2.6185 |off_loss 0.0437 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1021/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9414 |hm_loss 0.6345 |wh_loss 2.6311 |off_loss 0.0438 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1022/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9469 |hm_loss 0.6377 |wh_loss 2.6502 |off_loss 0.0442 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1023/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9527 |hm_loss 0.6412 |wh_loss 2.6684 |off_loss 0.0446 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1024/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9582 |hm_loss 0.6448 |wh_loss 2.6879 |off_loss 0.0446 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1025/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9632 |hm_loss 0.6484 |wh_loss 2.7007 |off_loss 0.0447 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1026/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9691 |hm_loss 0.6521 |wh_loss 2.7181 |off_loss 0.0452 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1027/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9752 |hm_loss 0.6558 |wh_loss 2.7393 |off_loss 0.0455 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1028/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9812 |hm_loss 0.6594 |wh_loss 2.7570 |off_loss 0.0461 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1029/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9864 |hm_loss 0.6631 |wh_loss 2.7678 |off_loss 0.0465 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1030/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9855 |hm_loss 0.6625 |wh_loss 2.7651 |off_loss 0.0465 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1031/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9846 |hm_loss 0.6619 |wh_loss 2.7625 |off_loss 0.0464 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1032/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9837 |hm_loss 0.6613 |wh_loss 2.7598 |off_loss 0.0464 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1033/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9828 |hm_loss 0.6607 |wh_loss 2.7571 |off_loss 0.0464 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1034/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9819 |hm_loss 0.6602 |wh_loss 2.7545 |off_loss 0.0463 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1035/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9810 |hm_loss 0.6596 |wh_loss 2.7518 |off_loss 0.0463 |Data 0.006s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1036/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9801 |hm_loss 0.6590 |wh_loss 2.7491 |off_loss 0.0462 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1037/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9792 |hm_loss 0.6584 |wh_loss 2.7465 |off_loss 0.0462 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1038/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9783 |hm_loss 0.6578 |wh_loss 2.7439 |off_loss 0.0461 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1039/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9774 |hm_loss 0.6572 |wh_loss 2.7412 |off_loss 0.0461 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1040/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9766 |hm_loss 0.6567 |wh_loss 2.7386 |off_loss 0.0460 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1041/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9757 |hm_loss 0.6561 |wh_loss 2.7360 |off_loss 0.0460 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1042/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9748 |hm_loss 0.6555 |wh_loss 2.7333 |off_loss 0.0460 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1043/2110]|Tot: 0:00:22 |ETA: 0:00:00 |loss 0.9739 |hm_loss 0.6549 |wh_loss 2.7307 |off_loss 0.0459 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1044/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9730 |hm_loss 0.6543 |wh_loss 2.7281 |off_loss 0.0459 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1045/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9721 |hm_loss 0.6538 |wh_loss 2.7255 |off_loss 0.0458 |Data 0.009s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1046/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9713 |hm_loss 0.6532 |wh_loss 2.7229 |off_loss 0.0458 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1047/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9704 |hm_loss 0.6526 |wh_loss 2.7203 |off_loss 0.0457 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1048/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9695 |hm_loss 0.6520 |wh_loss 2.7177 |off_loss 0.0457 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1049/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9686 |hm_loss 0.6515 |wh_loss 2.7151 |off_loss 0.0457 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1050/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9678 |hm_loss 0.6509 |wh_loss 2.7125 |off_loss 0.0456 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1051/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9669 |hm_loss 0.6503 |wh_loss 2.7099 |off_loss 0.0456 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1052/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9660 |hm_loss 0.6498 |wh_loss 2.7074 |off_loss 0.0455 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1053/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9652 |hm_loss 0.6492 |wh_loss 2.7048 |off_loss 0.0455 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1054/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9643 |hm_loss 0.6486 |wh_loss 2.7022 |off_loss 0.0454 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1055/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9634 |hm_loss 0.6481 |wh_loss 2.6997 |off_loss 0.0454 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1056/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9626 |hm_loss 0.6475 |wh_loss 2.6971 |off_loss 0.0453 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1057/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9617 |hm_loss 0.6469 |wh_loss 2.6946 |off_loss 0.0453 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1058/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9608 |hm_loss 0.6464 |wh_loss 2.6920 |off_loss 0.0453 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1059/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9600 |hm_loss 0.6458 |wh_loss 2.6895 |off_loss 0.0452 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1060/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9591 |hm_loss 0.6453 |wh_loss 2.6870 |off_loss 0.0452 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1061/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9583 |hm_loss 0.6447 |wh_loss 2.6844 |off_loss 0.0451 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1062/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9574 |hm_loss 0.6441 |wh_loss 2.6819 |off_loss 0.0451 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1063/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9566 |hm_loss 0.6436 |wh_loss 2.6794 |off_loss 0.0451 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1064/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9557 |hm_loss 0.6430 |wh_loss 2.6769 |off_loss 0.0450 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1065/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9549 |hm_loss 0.6425 |wh_loss 2.6744 |off_loss 0.0450 |Data 0.019s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1066/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9540 |hm_loss 0.6419 |wh_loss 2.6718 |off_loss 0.0449 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1067/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9532 |hm_loss 0.6414 |wh_loss 2.6693 |off_loss 0.0449 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1068/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9523 |hm_loss 0.6408 |wh_loss 2.6668 |off_loss 0.0448 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1069/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9515 |hm_loss 0.6403 |wh_loss 2.6644 |off_loss 0.0448 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1070/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9507 |hm_loss 0.6397 |wh_loss 2.6619 |off_loss 0.0448 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1071/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9498 |hm_loss 0.6392 |wh_loss 2.6594 |off_loss 0.0447 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1072/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9490 |hm_loss 0.6386 |wh_loss 2.6569 |off_loss 0.0447 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1073/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9481 |hm_loss 0.6381 |wh_loss 2.6544 |off_loss 0.0446 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1074/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9473 |hm_loss 0.6375 |wh_loss 2.6520 |off_loss 0.0446 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1075/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9465 |hm_loss 0.6370 |wh_loss 2.6495 |off_loss 0.0445 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1076/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9456 |hm_loss 0.6364 |wh_loss 2.6470 |off_loss 0.0445 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1077/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9448 |hm_loss 0.6359 |wh_loss 2.6446 |off_loss 0.0445 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1078/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9440 |hm_loss 0.6353 |wh_loss 2.6421 |off_loss 0.0444 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1079/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9432 |hm_loss 0.6348 |wh_loss 2.6397 |off_loss 0.0444 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1080/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9423 |hm_loss 0.6343 |wh_loss 2.6372 |off_loss 0.0443 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1081/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9415 |hm_loss 0.6337 |wh_loss 2.6348 |off_loss 0.0443 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1082/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9407 |hm_loss 0.6332 |wh_loss 2.6324 |off_loss 0.0443 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1083/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9399 |hm_loss 0.6327 |wh_loss 2.6299 |off_loss 0.0442 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1084/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9391 |hm_loss 0.6321 |wh_loss 2.6275 |off_loss 0.0442 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1085/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9382 |hm_loss 0.6316 |wh_loss 2.6251 |off_loss 0.0441 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1086/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9374 |hm_loss 0.6311 |wh_loss 2.6227 |off_loss 0.0441 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1087/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9366 |hm_loss 0.6305 |wh_loss 2.6203 |off_loss 0.0441 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1088/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9358 |hm_loss 0.6300 |wh_loss 2.6179 |off_loss 0.0440 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1089/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9350 |hm_loss 0.6295 |wh_loss 2.6155 |off_loss 0.0440 |Data 0.016s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1090/2110]|Tot: 0:00:23 |ETA: 0:00:00 |loss 0.9342 |hm_loss 0.6289 |wh_loss 2.6131 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1091/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9334 |hm_loss 0.6284 |wh_loss 2.6107 |off_loss 0.0439 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1092/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9326 |hm_loss 0.6279 |wh_loss 2.6083 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1093/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9318 |hm_loss 0.6274 |wh_loss 2.6059 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1094/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9310 |hm_loss 0.6268 |wh_loss 2.6035 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1095/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9302 |hm_loss 0.6263 |wh_loss 2.6012 |off_loss 0.0437 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1096/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9294 |hm_loss 0.6258 |wh_loss 2.5988 |off_loss 0.0437 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1097/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9286 |hm_loss 0.6253 |wh_loss 2.5964 |off_loss 0.0437 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1098/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9278 |hm_loss 0.6247 |wh_loss 2.5941 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1099/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9270 |hm_loss 0.6242 |wh_loss 2.5917 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1100/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9262 |hm_loss 0.6237 |wh_loss 2.5893 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1101/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9254 |hm_loss 0.6232 |wh_loss 2.5870 |off_loss 0.0435 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1102/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9246 |hm_loss 0.6227 |wh_loss 2.5846 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1103/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9290 |hm_loss 0.6253 |wh_loss 2.6005 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1104/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9336 |hm_loss 0.6288 |wh_loss 2.6083 |off_loss 0.0440 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1105/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9384 |hm_loss 0.6322 |wh_loss 2.6171 |off_loss 0.0445 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1106/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9444 |hm_loss 0.6357 |wh_loss 2.6400 |off_loss 0.0447 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1107/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9436 |hm_loss 0.6351 |wh_loss 2.6376 |off_loss 0.0447 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1108/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9428 |hm_loss 0.6346 |wh_loss 2.6352 |off_loss 0.0446 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1109/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9420 |hm_loss 0.6341 |wh_loss 2.6328 |off_loss 0.0446 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1110/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9412 |hm_loss 0.6336 |wh_loss 2.6305 |off_loss 0.0445 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1111/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9404 |hm_loss 0.6330 |wh_loss 2.6281 |off_loss 0.0445 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1112/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9396 |hm_loss 0.6325 |wh_loss 2.6257 |off_loss 0.0445 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1113/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9388 |hm_loss 0.6320 |wh_loss 2.6234 |off_loss 0.0444 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1114/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9380 |hm_loss 0.6315 |wh_loss 2.6210 |off_loss 0.0444 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1115/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9372 |hm_loss 0.6310 |wh_loss 2.6187 |off_loss 0.0443 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1116/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9364 |hm_loss 0.6305 |wh_loss 2.6163 |off_loss 0.0443 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1117/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9356 |hm_loss 0.6299 |wh_loss 2.6140 |off_loss 0.0443 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1118/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9348 |hm_loss 0.6294 |wh_loss 2.6117 |off_loss 0.0442 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1119/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9340 |hm_loss 0.6289 |wh_loss 2.6093 |off_loss 0.0442 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1120/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9332 |hm_loss 0.6284 |wh_loss 2.6070 |off_loss 0.0442 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1121/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9325 |hm_loss 0.6279 |wh_loss 2.6047 |off_loss 0.0441 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1122/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9317 |hm_loss 0.6274 |wh_loss 2.6024 |off_loss 0.0441 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1123/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9309 |hm_loss 0.6269 |wh_loss 2.6000 |off_loss 0.0440 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1124/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9301 |hm_loss 0.6263 |wh_loss 2.5977 |off_loss 0.0440 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1125/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9293 |hm_loss 0.6258 |wh_loss 2.5954 |off_loss 0.0440 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1126/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9285 |hm_loss 0.6253 |wh_loss 2.5931 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1127/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9278 |hm_loss 0.6248 |wh_loss 2.5908 |off_loss 0.0439 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1128/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9270 |hm_loss 0.6243 |wh_loss 2.5885 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1129/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9262 |hm_loss 0.6238 |wh_loss 2.5862 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1130/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9255 |hm_loss 0.6233 |wh_loss 2.5840 |off_loss 0.0438 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1131/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9247 |hm_loss 0.6228 |wh_loss 2.5817 |off_loss 0.0437 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1132/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9239 |hm_loss 0.6223 |wh_loss 2.5794 |off_loss 0.0437 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1133/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9231 |hm_loss 0.6218 |wh_loss 2.5771 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1134/2110]|Tot: 0:00:24 |ETA: 0:00:00 |loss 0.9224 |hm_loss 0.6213 |wh_loss 2.5749 |off_loss 0.0436 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1135/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9216 |hm_loss 0.6208 |wh_loss 2.5726 |off_loss 0.0436 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1136/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9208 |hm_loss 0.6203 |wh_loss 2.5703 |off_loss 0.0435 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1137/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9201 |hm_loss 0.6198 |wh_loss 2.5681 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1138/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9193 |hm_loss 0.6193 |wh_loss 2.5658 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1139/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9185 |hm_loss 0.6188 |wh_loss 2.5636 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1140/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9178 |hm_loss 0.6183 |wh_loss 2.5613 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1141/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9170 |hm_loss 0.6178 |wh_loss 2.5591 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1142/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9163 |hm_loss 0.6173 |wh_loss 2.5568 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1143/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9155 |hm_loss 0.6168 |wh_loss 2.5546 |off_loss 0.0433 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1144/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9148 |hm_loss 0.6163 |wh_loss 2.5524 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1145/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9140 |hm_loss 0.6158 |wh_loss 2.5501 |off_loss 0.0432 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1146/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9133 |hm_loss 0.6153 |wh_loss 2.5479 |off_loss 0.0432 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1147/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9125 |hm_loss 0.6148 |wh_loss 2.5457 |off_loss 0.0431 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1148/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9118 |hm_loss 0.6143 |wh_loss 2.5435 |off_loss 0.0431 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1149/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9110 |hm_loss 0.6139 |wh_loss 2.5413 |off_loss 0.0430 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1150/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9103 |hm_loss 0.6134 |wh_loss 2.5391 |off_loss 0.0430 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1151/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9095 |hm_loss 0.6129 |wh_loss 2.5369 |off_loss 0.0430 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1152/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9088 |hm_loss 0.6124 |wh_loss 2.5347 |off_loss 0.0429 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1153/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9080 |hm_loss 0.6119 |wh_loss 2.5325 |off_loss 0.0429 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1154/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9073 |hm_loss 0.6114 |wh_loss 2.5303 |off_loss 0.0429 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1155/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9066 |hm_loss 0.6109 |wh_loss 2.5281 |off_loss 0.0428 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1156/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9058 |hm_loss 0.6105 |wh_loss 2.5259 |off_loss 0.0428 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1157/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9051 |hm_loss 0.6100 |wh_loss 2.5237 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1158/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9044 |hm_loss 0.6095 |wh_loss 2.5215 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1159/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9036 |hm_loss 0.6090 |wh_loss 2.5194 |off_loss 0.0427 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1160/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9029 |hm_loss 0.6085 |wh_loss 2.5172 |off_loss 0.0426 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1161/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9022 |hm_loss 0.6081 |wh_loss 2.5150 |off_loss 0.0426 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1162/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9014 |hm_loss 0.6076 |wh_loss 2.5129 |off_loss 0.0426 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1163/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9007 |hm_loss 0.6071 |wh_loss 2.5107 |off_loss 0.0425 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1164/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9000 |hm_loss 0.6066 |wh_loss 2.5085 |off_loss 0.0425 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1165/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.8993 |hm_loss 0.6062 |wh_loss 2.5064 |off_loss 0.0424 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1166/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.8985 |hm_loss 0.6057 |wh_loss 2.5042 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1167/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.8978 |hm_loss 0.6052 |wh_loss 2.5021 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1168/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.8971 |hm_loss 0.6047 |wh_loss 2.5000 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1169/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9019 |hm_loss 0.6074 |wh_loss 2.5189 |off_loss 0.0425 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1170/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9067 |hm_loss 0.6106 |wh_loss 2.5313 |off_loss 0.0429 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1171/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9105 |hm_loss 0.6139 |wh_loss 2.5351 |off_loss 0.0431 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1172/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9162 |hm_loss 0.6171 |wh_loss 2.5548 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1173/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9154 |hm_loss 0.6166 |wh_loss 2.5526 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1174/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9147 |hm_loss 0.6162 |wh_loss 2.5505 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1175/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9139 |hm_loss 0.6157 |wh_loss 2.5483 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1176/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9132 |hm_loss 0.6152 |wh_loss 2.5461 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1177/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9125 |hm_loss 0.6147 |wh_loss 2.5440 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1178/2110]|Tot: 0:00:25 |ETA: 0:00:00 |loss 0.9117 |hm_loss 0.6142 |wh_loss 2.5418 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1179/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9110 |hm_loss 0.6138 |wh_loss 2.5397 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1180/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9103 |hm_loss 0.6133 |wh_loss 2.5375 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1181/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9096 |hm_loss 0.6128 |wh_loss 2.5354 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1182/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9145 |hm_loss 0.6159 |wh_loss 2.5516 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1183/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9185 |hm_loss 0.6192 |wh_loss 2.5557 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1184/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9233 |hm_loss 0.6224 |wh_loss 2.5707 |off_loss 0.0439 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1185/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9226 |hm_loss 0.6219 |wh_loss 2.5685 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1186/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9219 |hm_loss 0.6214 |wh_loss 2.5664 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1187/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9211 |hm_loss 0.6209 |wh_loss 2.5642 |off_loss 0.0438 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1188/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9204 |hm_loss 0.6205 |wh_loss 2.5621 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1189/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9197 |hm_loss 0.6200 |wh_loss 2.5599 |off_loss 0.0437 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1190/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9189 |hm_loss 0.6195 |wh_loss 2.5577 |off_loss 0.0437 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1191/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9182 |hm_loss 0.6190 |wh_loss 2.5556 |off_loss 0.0436 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1192/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9175 |hm_loss 0.6186 |wh_loss 2.5535 |off_loss 0.0436 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1193/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9168 |hm_loss 0.6181 |wh_loss 2.5513 |off_loss 0.0435 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1194/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9160 |hm_loss 0.6176 |wh_loss 2.5492 |off_loss 0.0435 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1195/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9153 |hm_loss 0.6171 |wh_loss 2.5471 |off_loss 0.0435 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1196/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9146 |hm_loss 0.6167 |wh_loss 2.5449 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1197/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9139 |hm_loss 0.6162 |wh_loss 2.5428 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1198/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9131 |hm_loss 0.6157 |wh_loss 2.5407 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1199/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9124 |hm_loss 0.6152 |wh_loss 2.5386 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1200/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9117 |hm_loss 0.6148 |wh_loss 2.5365 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1201/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9110 |hm_loss 0.6143 |wh_loss 2.5343 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1202/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9103 |hm_loss 0.6138 |wh_loss 2.5322 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1203/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9096 |hm_loss 0.6134 |wh_loss 2.5301 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1204/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9088 |hm_loss 0.6129 |wh_loss 2.5280 |off_loss 0.0431 |Data 0.016s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1205/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9081 |hm_loss 0.6124 |wh_loss 2.5259 |off_loss 0.0431 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1206/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9074 |hm_loss 0.6120 |wh_loss 2.5238 |off_loss 0.0431 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1207/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9067 |hm_loss 0.6115 |wh_loss 2.5218 |off_loss 0.0430 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1208/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9060 |hm_loss 0.6110 |wh_loss 2.5197 |off_loss 0.0430 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1209/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9053 |hm_loss 0.6106 |wh_loss 2.5176 |off_loss 0.0430 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1210/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9046 |hm_loss 0.6101 |wh_loss 2.5155 |off_loss 0.0429 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1211/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9039 |hm_loss 0.6096 |wh_loss 2.5134 |off_loss 0.0429 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1212/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9032 |hm_loss 0.6092 |wh_loss 2.5114 |off_loss 0.0429 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1213/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9025 |hm_loss 0.6087 |wh_loss 2.5093 |off_loss 0.0428 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1214/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9018 |hm_loss 0.6083 |wh_loss 2.5072 |off_loss 0.0428 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1215/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9011 |hm_loss 0.6078 |wh_loss 2.5052 |off_loss 0.0428 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1216/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.9004 |hm_loss 0.6073 |wh_loss 2.5031 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1217/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.8997 |hm_loss 0.6069 |wh_loss 2.5010 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1218/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.8990 |hm_loss 0.6064 |wh_loss 2.4990 |off_loss 0.0426 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1219/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.8983 |hm_loss 0.6060 |wh_loss 2.4969 |off_loss 0.0426 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1220/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.8976 |hm_loss 0.6055 |wh_loss 2.4949 |off_loss 0.0426 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1221/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.8969 |hm_loss 0.6051 |wh_loss 2.4929 |off_loss 0.0425 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1222/2110]|Tot: 0:00:26 |ETA: 0:00:00 |loss 0.8962 |hm_loss 0.6046 |wh_loss 2.4908 |off_loss 0.0425 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1223/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8955 |hm_loss 0.6042 |wh_loss 2.4888 |off_loss 0.0425 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1224/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8948 |hm_loss 0.6037 |wh_loss 2.4868 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1225/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8942 |hm_loss 0.6033 |wh_loss 2.4847 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1226/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8935 |hm_loss 0.6028 |wh_loss 2.4827 |off_loss 0.0424 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1227/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8928 |hm_loss 0.6024 |wh_loss 2.4807 |off_loss 0.0423 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1228/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8921 |hm_loss 0.6019 |wh_loss 2.4787 |off_loss 0.0423 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1229/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8914 |hm_loss 0.6015 |wh_loss 2.4766 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1230/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8907 |hm_loss 0.6010 |wh_loss 2.4746 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1231/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8901 |hm_loss 0.6006 |wh_loss 2.4726 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1232/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8894 |hm_loss 0.6002 |wh_loss 2.4706 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1233/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8887 |hm_loss 0.5997 |wh_loss 2.4686 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1234/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8880 |hm_loss 0.5993 |wh_loss 2.4666 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1235/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8874 |hm_loss 0.5988 |wh_loss 2.4646 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1236/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8867 |hm_loss 0.5984 |wh_loss 2.4626 |off_loss 0.0420 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1237/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8860 |hm_loss 0.5979 |wh_loss 2.4606 |off_loss 0.0420 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1238/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8853 |hm_loss 0.5975 |wh_loss 2.4587 |off_loss 0.0420 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1239/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8847 |hm_loss 0.5971 |wh_loss 2.4567 |off_loss 0.0419 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1240/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8840 |hm_loss 0.5966 |wh_loss 2.4547 |off_loss 0.0419 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1241/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8833 |hm_loss 0.5962 |wh_loss 2.4527 |off_loss 0.0419 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1242/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8827 |hm_loss 0.5958 |wh_loss 2.4507 |off_loss 0.0418 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1243/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8820 |hm_loss 0.5953 |wh_loss 2.4488 |off_loss 0.0418 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1244/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8813 |hm_loss 0.5949 |wh_loss 2.4468 |off_loss 0.0418 |Data 0.010s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1245/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8807 |hm_loss 0.5944 |wh_loss 2.4448 |off_loss 0.0417 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1246/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8800 |hm_loss 0.5940 |wh_loss 2.4429 |off_loss 0.0417 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1247/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8793 |hm_loss 0.5936 |wh_loss 2.4409 |off_loss 0.0417 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1248/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8787 |hm_loss 0.5931 |wh_loss 2.4390 |off_loss 0.0416 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1249/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8780 |hm_loss 0.5927 |wh_loss 2.4370 |off_loss 0.0416 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1250/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8773 |hm_loss 0.5923 |wh_loss 2.4351 |off_loss 0.0416 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1251/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8767 |hm_loss 0.5918 |wh_loss 2.4331 |off_loss 0.0415 |Data 0.021s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1252/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8760 |hm_loss 0.5914 |wh_loss 2.4312 |off_loss 0.0415 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1253/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8754 |hm_loss 0.5910 |wh_loss 2.4292 |off_loss 0.0415 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1254/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8747 |hm_loss 0.5906 |wh_loss 2.4273 |off_loss 0.0414 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1255/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8741 |hm_loss 0.5901 |wh_loss 2.4254 |off_loss 0.0414 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1256/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8734 |hm_loss 0.5897 |wh_loss 2.4235 |off_loss 0.0414 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1257/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8727 |hm_loss 0.5893 |wh_loss 2.4215 |off_loss 0.0413 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1258/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8721 |hm_loss 0.5888 |wh_loss 2.4196 |off_loss 0.0413 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1259/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8714 |hm_loss 0.5884 |wh_loss 2.4177 |off_loss 0.0413 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1260/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8708 |hm_loss 0.5880 |wh_loss 2.4158 |off_loss 0.0412 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1261/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8701 |hm_loss 0.5876 |wh_loss 2.4138 |off_loss 0.0412 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1262/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8695 |hm_loss 0.5871 |wh_loss 2.4119 |off_loss 0.0412 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1263/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8735 |hm_loss 0.5896 |wh_loss 2.4260 |off_loss 0.0413 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1264/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8782 |hm_loss 0.5926 |wh_loss 2.4385 |off_loss 0.0417 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1265/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8827 |hm_loss 0.5956 |wh_loss 2.4497 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1266/2110]|Tot: 0:00:27 |ETA: 0:00:00 |loss 0.8870 |hm_loss 0.5987 |wh_loss 2.4603 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1267/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8864 |hm_loss 0.5982 |wh_loss 2.4584 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1268/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8857 |hm_loss 0.5978 |wh_loss 2.4564 |off_loss 0.0423 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1269/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8892 |hm_loss 0.6000 |wh_loss 2.4680 |off_loss 0.0424 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1270/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8940 |hm_loss 0.6029 |wh_loss 2.4845 |off_loss 0.0427 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1271/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8985 |hm_loss 0.6057 |wh_loss 2.4981 |off_loss 0.0430 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1272/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.9038 |hm_loss 0.6087 |wh_loss 2.5167 |off_loss 0.0434 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1273/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.9031 |hm_loss 0.6082 |wh_loss 2.5148 |off_loss 0.0434 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1274/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.9025 |hm_loss 0.6078 |wh_loss 2.5128 |off_loss 0.0434 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1275/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.9018 |hm_loss 0.6074 |wh_loss 2.5108 |off_loss 0.0433 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1276/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.9011 |hm_loss 0.6069 |wh_loss 2.5088 |off_loss 0.0433 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1277/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.9005 |hm_loss 0.6065 |wh_loss 2.5069 |off_loss 0.0433 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1278/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8998 |hm_loss 0.6061 |wh_loss 2.5049 |off_loss 0.0432 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1279/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8991 |hm_loss 0.6056 |wh_loss 2.5030 |off_loss 0.0432 |Data 0.007s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1280/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8985 |hm_loss 0.6052 |wh_loss 2.5010 |off_loss 0.0432 |Data 0.009s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1281/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8978 |hm_loss 0.6048 |wh_loss 2.4991 |off_loss 0.0431 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1282/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8972 |hm_loss 0.6044 |wh_loss 2.4971 |off_loss 0.0431 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1283/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8965 |hm_loss 0.6039 |wh_loss 2.4952 |off_loss 0.0431 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1284/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8958 |hm_loss 0.6035 |wh_loss 2.4932 |off_loss 0.0430 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1285/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8952 |hm_loss 0.6031 |wh_loss 2.4913 |off_loss 0.0430 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1286/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8945 |hm_loss 0.6026 |wh_loss 2.4894 |off_loss 0.0430 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1287/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8939 |hm_loss 0.6022 |wh_loss 2.4874 |off_loss 0.0429 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1288/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8932 |hm_loss 0.6018 |wh_loss 2.4855 |off_loss 0.0429 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1289/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8926 |hm_loss 0.6014 |wh_loss 2.4836 |off_loss 0.0429 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1290/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8919 |hm_loss 0.6009 |wh_loss 2.4816 |off_loss 0.0428 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1291/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8913 |hm_loss 0.6005 |wh_loss 2.4797 |off_loss 0.0428 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1292/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8906 |hm_loss 0.6001 |wh_loss 2.4778 |off_loss 0.0428 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1293/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8900 |hm_loss 0.5997 |wh_loss 2.4759 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1294/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8893 |hm_loss 0.5992 |wh_loss 2.4740 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1295/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8887 |hm_loss 0.5988 |wh_loss 2.4721 |off_loss 0.0427 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1296/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8880 |hm_loss 0.5984 |wh_loss 2.4702 |off_loss 0.0426 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1297/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8874 |hm_loss 0.5980 |wh_loss 2.4683 |off_loss 0.0426 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1298/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8868 |hm_loss 0.5976 |wh_loss 2.4664 |off_loss 0.0426 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1299/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8861 |hm_loss 0.5971 |wh_loss 2.4645 |off_loss 0.0425 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1300/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8855 |hm_loss 0.5967 |wh_loss 2.4626 |off_loss 0.0425 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1301/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8848 |hm_loss 0.5963 |wh_loss 2.4607 |off_loss 0.0425 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1302/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8842 |hm_loss 0.5959 |wh_loss 2.4588 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1303/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8836 |hm_loss 0.5955 |wh_loss 2.4569 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1304/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8829 |hm_loss 0.5951 |wh_loss 2.4550 |off_loss 0.0424 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1305/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8823 |hm_loss 0.5946 |wh_loss 2.4531 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1306/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8817 |hm_loss 0.5942 |wh_loss 2.4513 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1307/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8810 |hm_loss 0.5938 |wh_loss 2.4494 |off_loss 0.0423 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1308/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8804 |hm_loss 0.5934 |wh_loss 2.4475 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1309/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8798 |hm_loss 0.5930 |wh_loss 2.4456 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1310/2110]|Tot: 0:00:28 |ETA: 0:00:00 |loss 0.8791 |hm_loss 0.5926 |wh_loss 2.4438 |off_loss 0.0422 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1311/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8785 |hm_loss 0.5922 |wh_loss 2.4419 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1312/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8779 |hm_loss 0.5918 |wh_loss 2.4401 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1313/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8773 |hm_loss 0.5914 |wh_loss 2.4382 |off_loss 0.0421 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1314/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8766 |hm_loss 0.5909 |wh_loss 2.4363 |off_loss 0.0420 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1315/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8760 |hm_loss 0.5905 |wh_loss 2.4345 |off_loss 0.0420 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1316/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8754 |hm_loss 0.5901 |wh_loss 2.4327 |off_loss 0.0420 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1317/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8748 |hm_loss 0.5897 |wh_loss 2.4308 |off_loss 0.0419 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1318/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8741 |hm_loss 0.5893 |wh_loss 2.4290 |off_loss 0.0419 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1319/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8735 |hm_loss 0.5889 |wh_loss 2.4271 |off_loss 0.0419 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1320/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8729 |hm_loss 0.5885 |wh_loss 2.4253 |off_loss 0.0419 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1321/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8723 |hm_loss 0.5881 |wh_loss 2.4234 |off_loss 0.0418 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1322/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8716 |hm_loss 0.5877 |wh_loss 2.4216 |off_loss 0.0418 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1323/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8710 |hm_loss 0.5873 |wh_loss 2.4198 |off_loss 0.0418 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1324/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8704 |hm_loss 0.5869 |wh_loss 2.4180 |off_loss 0.0417 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1325/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8698 |hm_loss 0.5865 |wh_loss 2.4161 |off_loss 0.0417 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1326/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8692 |hm_loss 0.5861 |wh_loss 2.4143 |off_loss 0.0417 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1327/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8686 |hm_loss 0.5857 |wh_loss 2.4125 |off_loss 0.0416 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1328/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8679 |hm_loss 0.5853 |wh_loss 2.4107 |off_loss 0.0416 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1329/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8673 |hm_loss 0.5849 |wh_loss 2.4089 |off_loss 0.0416 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1330/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8667 |hm_loss 0.5845 |wh_loss 2.4071 |off_loss 0.0415 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1331/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8661 |hm_loss 0.5841 |wh_loss 2.4053 |off_loss 0.0415 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1332/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8655 |hm_loss 0.5837 |wh_loss 2.4035 |off_loss 0.0415 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1333/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8649 |hm_loss 0.5833 |wh_loss 2.4016 |off_loss 0.0414 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1334/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8643 |hm_loss 0.5829 |wh_loss 2.3999 |off_loss 0.0414 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1335/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8637 |hm_loss 0.5825 |wh_loss 2.3981 |off_loss 0.0414 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1336/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8631 |hm_loss 0.5821 |wh_loss 2.3963 |off_loss 0.0414 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1337/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8625 |hm_loss 0.5817 |wh_loss 2.3945 |off_loss 0.0413 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1338/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8619 |hm_loss 0.5813 |wh_loss 2.3927 |off_loss 0.0413 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1339/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8612 |hm_loss 0.5809 |wh_loss 2.3909 |off_loss 0.0413 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1340/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8606 |hm_loss 0.5805 |wh_loss 2.3891 |off_loss 0.0412 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1341/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8600 |hm_loss 0.5801 |wh_loss 2.3873 |off_loss 0.0412 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1342/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8594 |hm_loss 0.5797 |wh_loss 2.3856 |off_loss 0.0412 |Data 0.020s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1343/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8588 |hm_loss 0.5793 |wh_loss 2.3838 |off_loss 0.0411 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1344/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8582 |hm_loss 0.5789 |wh_loss 2.3820 |off_loss 0.0411 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1345/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8576 |hm_loss 0.5785 |wh_loss 2.3802 |off_loss 0.0411 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1346/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8571 |hm_loss 0.5782 |wh_loss 2.3785 |off_loss 0.0410 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1347/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8565 |hm_loss 0.5778 |wh_loss 2.3767 |off_loss 0.0410 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1348/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8559 |hm_loss 0.5774 |wh_loss 2.3749 |off_loss 0.0410 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1349/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8553 |hm_loss 0.5770 |wh_loss 2.3732 |off_loss 0.0410 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1350/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8547 |hm_loss 0.5766 |wh_loss 2.3714 |off_loss 0.0409 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1351/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8541 |hm_loss 0.5762 |wh_loss 2.3697 |off_loss 0.0409 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1352/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8535 |hm_loss 0.5758 |wh_loss 2.3679 |off_loss 0.0409 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1353/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8529 |hm_loss 0.5755 |wh_loss 2.3662 |off_loss 0.0408 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1354/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8523 |hm_loss 0.5751 |wh_loss 2.3644 |off_loss 0.0408 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1355/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8517 |hm_loss 0.5747 |wh_loss 2.3627 |off_loss 0.0408 |Data 0.006s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1356/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8511 |hm_loss 0.5743 |wh_loss 2.3609 |off_loss 0.0407 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1357/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8506 |hm_loss 0.5739 |wh_loss 2.3592 |off_loss 0.0407 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1358/2110]|Tot: 0:00:29 |ETA: 0:00:00 |loss 0.8500 |hm_loss 0.5735 |wh_loss 2.3575 |off_loss 0.0407 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1359/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8494 |hm_loss 0.5732 |wh_loss 2.3557 |off_loss 0.0407 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1360/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8488 |hm_loss 0.5728 |wh_loss 2.3540 |off_loss 0.0406 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1361/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8482 |hm_loss 0.5724 |wh_loss 2.3523 |off_loss 0.0406 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1362/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8476 |hm_loss 0.5720 |wh_loss 2.3506 |off_loss 0.0406 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1363/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8470 |hm_loss 0.5716 |wh_loss 2.3488 |off_loss 0.0405 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1364/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8465 |hm_loss 0.5712 |wh_loss 2.3471 |off_loss 0.0405 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1365/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8459 |hm_loss 0.5709 |wh_loss 2.3454 |off_loss 0.0405 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1366/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8453 |hm_loss 0.5705 |wh_loss 2.3437 |off_loss 0.0404 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1367/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8447 |hm_loss 0.5701 |wh_loss 2.3420 |off_loss 0.0404 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1368/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8441 |hm_loss 0.5697 |wh_loss 2.3402 |off_loss 0.0404 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1369/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8436 |hm_loss 0.5694 |wh_loss 2.3385 |off_loss 0.0404 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1370/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8430 |hm_loss 0.5690 |wh_loss 2.3368 |off_loss 0.0403 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1371/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8424 |hm_loss 0.5686 |wh_loss 2.3351 |off_loss 0.0403 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1372/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8418 |hm_loss 0.5682 |wh_loss 2.3334 |off_loss 0.0403 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1373/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8413 |hm_loss 0.5679 |wh_loss 2.3317 |off_loss 0.0402 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1374/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8407 |hm_loss 0.5675 |wh_loss 2.3300 |off_loss 0.0402 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1375/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8401 |hm_loss 0.5671 |wh_loss 2.3283 |off_loss 0.0402 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1376/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8396 |hm_loss 0.5667 |wh_loss 2.3267 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1377/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8390 |hm_loss 0.5664 |wh_loss 2.3250 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1378/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8384 |hm_loss 0.5660 |wh_loss 2.3233 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1379/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8378 |hm_loss 0.5656 |wh_loss 2.3216 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1380/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8373 |hm_loss 0.5653 |wh_loss 2.3199 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1381/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8367 |hm_loss 0.5649 |wh_loss 2.3182 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1382/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8361 |hm_loss 0.5645 |wh_loss 2.3166 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1383/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8356 |hm_loss 0.5641 |wh_loss 2.3149 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1384/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8350 |hm_loss 0.5638 |wh_loss 2.3132 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1385/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8345 |hm_loss 0.5634 |wh_loss 2.3115 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1386/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8339 |hm_loss 0.5630 |wh_loss 2.3099 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1387/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8333 |hm_loss 0.5627 |wh_loss 2.3082 |off_loss 0.0398 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1388/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8328 |hm_loss 0.5623 |wh_loss 2.3066 |off_loss 0.0398 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1389/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8360 |hm_loss 0.5644 |wh_loss 2.3169 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1390/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8402 |hm_loss 0.5671 |wh_loss 2.3298 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1391/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8441 |hm_loss 0.5699 |wh_loss 2.3391 |off_loss 0.0404 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1392/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8485 |hm_loss 0.5727 |wh_loss 2.3543 |off_loss 0.0404 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1393/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8479 |hm_loss 0.5723 |wh_loss 2.3526 |off_loss 0.0403 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1394/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8473 |hm_loss 0.5719 |wh_loss 2.3509 |off_loss 0.0403 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1395/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8468 |hm_loss 0.5715 |wh_loss 2.3492 |off_loss 0.0403 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1396/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8462 |hm_loss 0.5712 |wh_loss 2.3475 |off_loss 0.0403 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1397/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8456 |hm_loss 0.5708 |wh_loss 2.3459 |off_loss 0.0402 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1398/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8451 |hm_loss 0.5704 |wh_loss 2.3442 |off_loss 0.0402 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1399/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8445 |hm_loss 0.5701 |wh_loss 2.3425 |off_loss 0.0402 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1400/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8439 |hm_loss 0.5697 |wh_loss 2.3408 |off_loss 0.0401 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1401/2110]|Tot: 0:00:30 |ETA: 0:00:00 |loss 0.8434 |hm_loss 0.5693 |wh_loss 2.3392 |off_loss 0.0401 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1402/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8428 |hm_loss 0.5690 |wh_loss 2.3375 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1403/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8422 |hm_loss 0.5686 |wh_loss 2.3358 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1404/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8417 |hm_loss 0.5682 |wh_loss 2.3342 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1405/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8411 |hm_loss 0.5679 |wh_loss 2.3325 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1406/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8406 |hm_loss 0.5675 |wh_loss 2.3309 |off_loss 0.0400 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1407/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8400 |hm_loss 0.5671 |wh_loss 2.3292 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1408/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8394 |hm_loss 0.5668 |wh_loss 2.3276 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1409/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8389 |hm_loss 0.5664 |wh_loss 2.3259 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1410/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8383 |hm_loss 0.5660 |wh_loss 2.3243 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1411/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8378 |hm_loss 0.5657 |wh_loss 2.3226 |off_loss 0.0398 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1412/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8372 |hm_loss 0.5653 |wh_loss 2.3210 |off_loss 0.0398 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1413/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8367 |hm_loss 0.5649 |wh_loss 2.3193 |off_loss 0.0398 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1414/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8361 |hm_loss 0.5646 |wh_loss 2.3177 |off_loss 0.0398 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1415/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8356 |hm_loss 0.5642 |wh_loss 2.3160 |off_loss 0.0397 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1416/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8350 |hm_loss 0.5639 |wh_loss 2.3144 |off_loss 0.0397 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1417/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8391 |hm_loss 0.5663 |wh_loss 2.3300 |off_loss 0.0398 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1418/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8429 |hm_loss 0.5690 |wh_loss 2.3393 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1419/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8473 |hm_loss 0.5717 |wh_loss 2.3530 |off_loss 0.0403 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1420/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8515 |hm_loss 0.5744 |wh_loss 2.3646 |off_loss 0.0407 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1421/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8510 |hm_loss 0.5740 |wh_loss 2.3629 |off_loss 0.0407 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1422/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8504 |hm_loss 0.5736 |wh_loss 2.3613 |off_loss 0.0406 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1423/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8499 |hm_loss 0.5733 |wh_loss 2.3596 |off_loss 0.0406 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1424/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8493 |hm_loss 0.5729 |wh_loss 2.3580 |off_loss 0.0406 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1425/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8487 |hm_loss 0.5725 |wh_loss 2.3563 |off_loss 0.0406 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1426/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8482 |hm_loss 0.5722 |wh_loss 2.3547 |off_loss 0.0405 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1427/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8476 |hm_loss 0.5718 |wh_loss 2.3530 |off_loss 0.0405 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1428/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8471 |hm_loss 0.5715 |wh_loss 2.3514 |off_loss 0.0405 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1429/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8465 |hm_loss 0.5711 |wh_loss 2.3497 |off_loss 0.0404 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1430/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8460 |hm_loss 0.5707 |wh_loss 2.3481 |off_loss 0.0404 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1431/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8454 |hm_loss 0.5704 |wh_loss 2.3464 |off_loss 0.0404 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1432/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8449 |hm_loss 0.5700 |wh_loss 2.3448 |off_loss 0.0404 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1433/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8443 |hm_loss 0.5697 |wh_loss 2.3432 |off_loss 0.0403 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1434/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8438 |hm_loss 0.5693 |wh_loss 2.3415 |off_loss 0.0403 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1435/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8432 |hm_loss 0.5689 |wh_loss 2.3399 |off_loss 0.0403 |Data 0.008s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1436/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8427 |hm_loss 0.5686 |wh_loss 2.3383 |off_loss 0.0402 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1437/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8421 |hm_loss 0.5682 |wh_loss 2.3366 |off_loss 0.0402 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1438/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8416 |hm_loss 0.5679 |wh_loss 2.3350 |off_loss 0.0402 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1439/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8410 |hm_loss 0.5675 |wh_loss 2.3334 |off_loss 0.0402 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1440/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8405 |hm_loss 0.5671 |wh_loss 2.3318 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1441/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8399 |hm_loss 0.5668 |wh_loss 2.3302 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1442/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8394 |hm_loss 0.5664 |wh_loss 2.3285 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1443/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8388 |hm_loss 0.5661 |wh_loss 2.3269 |off_loss 0.0401 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1444/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8383 |hm_loss 0.5657 |wh_loss 2.3253 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1445/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8377 |hm_loss 0.5654 |wh_loss 2.3237 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1446/2110]|Tot: 0:00:31 |ETA: 0:00:00 |loss 0.8372 |hm_loss 0.5650 |wh_loss 2.3221 |off_loss 0.0400 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1447/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8367 |hm_loss 0.5647 |wh_loss 2.3205 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1448/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8361 |hm_loss 0.5643 |wh_loss 2.3189 |off_loss 0.0399 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1449/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8356 |hm_loss 0.5640 |wh_loss 2.3173 |off_loss 0.0399 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1450/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8351 |hm_loss 0.5636 |wh_loss 2.3157 |off_loss 0.0399 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1451/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8345 |hm_loss 0.5633 |wh_loss 2.3141 |off_loss 0.0398 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1452/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8340 |hm_loss 0.5629 |wh_loss 2.3125 |off_loss 0.0398 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1453/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8335 |hm_loss 0.5626 |wh_loss 2.3109 |off_loss 0.0398 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1454/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8329 |hm_loss 0.5623 |wh_loss 2.3093 |off_loss 0.0398 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1455/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8324 |hm_loss 0.5619 |wh_loss 2.3078 |off_loss 0.0397 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1456/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8319 |hm_loss 0.5616 |wh_loss 2.3062 |off_loss 0.0397 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1457/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8314 |hm_loss 0.5612 |wh_loss 2.3046 |off_loss 0.0397 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1458/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8308 |hm_loss 0.5609 |wh_loss 2.3030 |off_loss 0.0396 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1459/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8303 |hm_loss 0.5605 |wh_loss 2.3014 |off_loss 0.0396 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1460/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8298 |hm_loss 0.5602 |wh_loss 2.2999 |off_loss 0.0396 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1461/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8292 |hm_loss 0.5599 |wh_loss 2.2983 |off_loss 0.0396 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1462/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8287 |hm_loss 0.5595 |wh_loss 2.2967 |off_loss 0.0395 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1463/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8282 |hm_loss 0.5592 |wh_loss 2.2951 |off_loss 0.0395 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1464/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8277 |hm_loss 0.5588 |wh_loss 2.2936 |off_loss 0.0395 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1465/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8271 |hm_loss 0.5585 |wh_loss 2.2920 |off_loss 0.0395 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1466/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8266 |hm_loss 0.5581 |wh_loss 2.2905 |off_loss 0.0394 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1467/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8261 |hm_loss 0.5578 |wh_loss 2.2889 |off_loss 0.0394 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1468/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8256 |hm_loss 0.5574 |wh_loss 2.2873 |off_loss 0.0394 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1469/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8250 |hm_loss 0.5571 |wh_loss 2.2858 |off_loss 0.0393 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1470/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8245 |hm_loss 0.5568 |wh_loss 2.2842 |off_loss 0.0393 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1471/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8240 |hm_loss 0.5564 |wh_loss 2.2827 |off_loss 0.0393 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1472/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8235 |hm_loss 0.5561 |wh_loss 2.2811 |off_loss 0.0393 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1473/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8229 |hm_loss 0.5557 |wh_loss 2.2796 |off_loss 0.0392 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1474/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8224 |hm_loss 0.5554 |wh_loss 2.2780 |off_loss 0.0392 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1475/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8219 |hm_loss 0.5551 |wh_loss 2.2765 |off_loss 0.0392 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1476/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8214 |hm_loss 0.5547 |wh_loss 2.2749 |off_loss 0.0392 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1477/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8208 |hm_loss 0.5544 |wh_loss 2.2734 |off_loss 0.0391 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1478/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8203 |hm_loss 0.5540 |wh_loss 2.2719 |off_loss 0.0391 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1479/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8198 |hm_loss 0.5537 |wh_loss 2.2703 |off_loss 0.0391 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1480/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8193 |hm_loss 0.5534 |wh_loss 2.2688 |off_loss 0.0391 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1481/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8188 |hm_loss 0.5530 |wh_loss 2.2673 |off_loss 0.0390 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1482/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8183 |hm_loss 0.5527 |wh_loss 2.2657 |off_loss 0.0390 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1483/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8177 |hm_loss 0.5523 |wh_loss 2.2642 |off_loss 0.0390 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1484/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8172 |hm_loss 0.5520 |wh_loss 2.2627 |off_loss 0.0389 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1485/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8167 |hm_loss 0.5517 |wh_loss 2.2612 |off_loss 0.0389 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1486/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8162 |hm_loss 0.5513 |wh_loss 2.2596 |off_loss 0.0389 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1487/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8157 |hm_loss 0.5510 |wh_loss 2.2581 |off_loss 0.0389 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1488/2110]|Tot: 0:00:32 |ETA: 0:00:00 |loss 0.8152 |hm_loss 0.5507 |wh_loss 2.2566 |off_loss 0.0388 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1489/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8147 |hm_loss 0.5503 |wh_loss 2.2551 |off_loss 0.0388 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1490/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8141 |hm_loss 0.5500 |wh_loss 2.2536 |off_loss 0.0388 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1491/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8136 |hm_loss 0.5497 |wh_loss 2.2521 |off_loss 0.0388 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1492/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8131 |hm_loss 0.5493 |wh_loss 2.2506 |off_loss 0.0387 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1493/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8126 |hm_loss 0.5490 |wh_loss 2.2491 |off_loss 0.0387 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1494/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8121 |hm_loss 0.5487 |wh_loss 2.2476 |off_loss 0.0387 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1495/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8116 |hm_loss 0.5483 |wh_loss 2.2461 |off_loss 0.0387 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1496/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8111 |hm_loss 0.5480 |wh_loss 2.2446 |off_loss 0.0386 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1497/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8106 |hm_loss 0.5477 |wh_loss 2.2431 |off_loss 0.0386 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1498/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8101 |hm_loss 0.5473 |wh_loss 2.2416 |off_loss 0.0386 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1499/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8096 |hm_loss 0.5470 |wh_loss 2.2401 |off_loss 0.0386 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1500/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8091 |hm_loss 0.5467 |wh_loss 2.2386 |off_loss 0.0385 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1501/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8086 |hm_loss 0.5464 |wh_loss 2.2371 |off_loss 0.0385 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1502/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8081 |hm_loss 0.5460 |wh_loss 2.2356 |off_loss 0.0385 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1503/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8076 |hm_loss 0.5457 |wh_loss 2.2341 |off_loss 0.0385 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1504/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8071 |hm_loss 0.5454 |wh_loss 2.2326 |off_loss 0.0384 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1505/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8066 |hm_loss 0.5450 |wh_loss 2.2311 |off_loss 0.0384 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1506/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8061 |hm_loss 0.5447 |wh_loss 2.2297 |off_loss 0.0384 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1507/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8056 |hm_loss 0.5444 |wh_loss 2.2282 |off_loss 0.0384 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1508/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8051 |hm_loss 0.5441 |wh_loss 2.2267 |off_loss 0.0383 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1509/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8046 |hm_loss 0.5437 |wh_loss 2.2252 |off_loss 0.0383 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1510/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8041 |hm_loss 0.5434 |wh_loss 2.2238 |off_loss 0.0383 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1511/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8036 |hm_loss 0.5431 |wh_loss 2.2223 |off_loss 0.0383 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1512/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8031 |hm_loss 0.5428 |wh_loss 2.2208 |off_loss 0.0382 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1513/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8026 |hm_loss 0.5424 |wh_loss 2.2193 |off_loss 0.0382 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1514/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8021 |hm_loss 0.5421 |wh_loss 2.2179 |off_loss 0.0382 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1515/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8016 |hm_loss 0.5418 |wh_loss 2.2164 |off_loss 0.0382 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1516/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8011 |hm_loss 0.5415 |wh_loss 2.2150 |off_loss 0.0381 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1517/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8006 |hm_loss 0.5412 |wh_loss 2.2135 |off_loss 0.0381 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1518/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.8001 |hm_loss 0.5408 |wh_loss 2.2120 |off_loss 0.0381 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1519/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7996 |hm_loss 0.5405 |wh_loss 2.2106 |off_loss 0.0381 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1520/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7991 |hm_loss 0.5402 |wh_loss 2.2091 |off_loss 0.0380 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1521/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7986 |hm_loss 0.5399 |wh_loss 2.2077 |off_loss 0.0380 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1522/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7981 |hm_loss 0.5395 |wh_loss 2.2062 |off_loss 0.0380 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1523/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7977 |hm_loss 0.5392 |wh_loss 2.2048 |off_loss 0.0380 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1524/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7972 |hm_loss 0.5389 |wh_loss 2.2033 |off_loss 0.0379 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1525/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7967 |hm_loss 0.5386 |wh_loss 2.2019 |off_loss 0.0379 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1526/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7962 |hm_loss 0.5383 |wh_loss 2.2005 |off_loss 0.0379 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1527/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7957 |hm_loss 0.5379 |wh_loss 2.1990 |off_loss 0.0379 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1528/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7952 |hm_loss 0.5376 |wh_loss 2.1976 |off_loss 0.0378 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1529/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7947 |hm_loss 0.5373 |wh_loss 2.1961 |off_loss 0.0378 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1530/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7942 |hm_loss 0.5370 |wh_loss 2.1947 |off_loss 0.0378 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1531/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7938 |hm_loss 0.5367 |wh_loss 2.1933 |off_loss 0.0378 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1532/2110]|Tot: 0:00:33 |ETA: 0:00:00 |loss 0.7933 |hm_loss 0.5364 |wh_loss 2.1918 |off_loss 0.0377 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1533/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7928 |hm_loss 0.5360 |wh_loss 2.1904 |off_loss 0.0377 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1534/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7923 |hm_loss 0.5357 |wh_loss 2.1890 |off_loss 0.0377 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1535/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7918 |hm_loss 0.5354 |wh_loss 2.1876 |off_loss 0.0377 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1536/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7913 |hm_loss 0.5351 |wh_loss 2.1861 |off_loss 0.0376 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1537/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7909 |hm_loss 0.5348 |wh_loss 2.1847 |off_loss 0.0376 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1538/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7904 |hm_loss 0.5345 |wh_loss 2.1833 |off_loss 0.0376 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1539/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7899 |hm_loss 0.5342 |wh_loss 2.1819 |off_loss 0.0376 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1540/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7894 |hm_loss 0.5338 |wh_loss 2.1805 |off_loss 0.0375 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1541/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7889 |hm_loss 0.5335 |wh_loss 2.1790 |off_loss 0.0375 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1542/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7885 |hm_loss 0.5332 |wh_loss 2.1776 |off_loss 0.0375 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1543/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7880 |hm_loss 0.5329 |wh_loss 2.1762 |off_loss 0.0375 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1544/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7875 |hm_loss 0.5326 |wh_loss 2.1748 |off_loss 0.0374 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1545/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7870 |hm_loss 0.5323 |wh_loss 2.1734 |off_loss 0.0374 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1546/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7866 |hm_loss 0.5320 |wh_loss 2.1720 |off_loss 0.0374 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1547/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7861 |hm_loss 0.5317 |wh_loss 2.1706 |off_loss 0.0374 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1548/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7856 |hm_loss 0.5314 |wh_loss 2.1692 |off_loss 0.0373 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1549/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7852 |hm_loss 0.5311 |wh_loss 2.1678 |off_loss 0.0373 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1550/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7847 |hm_loss 0.5307 |wh_loss 2.1664 |off_loss 0.0373 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1551/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7842 |hm_loss 0.5304 |wh_loss 2.1650 |off_loss 0.0373 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1552/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7837 |hm_loss 0.5301 |wh_loss 2.1636 |off_loss 0.0372 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1553/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7833 |hm_loss 0.5298 |wh_loss 2.1622 |off_loss 0.0372 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1554/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7828 |hm_loss 0.5295 |wh_loss 2.1608 |off_loss 0.0372 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1555/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7875 |hm_loss 0.5316 |wh_loss 2.1845 |off_loss 0.0374 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1556/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7922 |hm_loss 0.5337 |wh_loss 2.2085 |off_loss 0.0376 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1557/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7965 |hm_loss 0.5358 |wh_loss 2.2289 |off_loss 0.0378 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1558/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.8005 |hm_loss 0.5380 |wh_loss 2.2467 |off_loss 0.0378 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1559/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.8000 |hm_loss 0.5377 |wh_loss 2.2453 |off_loss 0.0378 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1560/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7996 |hm_loss 0.5374 |wh_loss 2.2438 |off_loss 0.0378 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1561/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7991 |hm_loss 0.5371 |wh_loss 2.2424 |off_loss 0.0378 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1562/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7986 |hm_loss 0.5368 |wh_loss 2.2410 |off_loss 0.0377 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1563/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7981 |hm_loss 0.5365 |wh_loss 2.2395 |off_loss 0.0377 |Data 0.015s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1564/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7976 |hm_loss 0.5361 |wh_loss 2.2381 |off_loss 0.0377 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1565/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7972 |hm_loss 0.5358 |wh_loss 2.2367 |off_loss 0.0377 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1566/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7967 |hm_loss 0.5355 |wh_loss 2.2352 |off_loss 0.0376 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1567/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7962 |hm_loss 0.5352 |wh_loss 2.2338 |off_loss 0.0376 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1568/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7957 |hm_loss 0.5349 |wh_loss 2.2324 |off_loss 0.0376 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1569/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7953 |hm_loss 0.5346 |wh_loss 2.2310 |off_loss 0.0376 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1570/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7948 |hm_loss 0.5343 |wh_loss 2.2295 |off_loss 0.0375 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1571/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7943 |hm_loss 0.5340 |wh_loss 2.2281 |off_loss 0.0375 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1572/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7939 |hm_loss 0.5337 |wh_loss 2.2267 |off_loss 0.0375 |Data 0.008s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1573/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7934 |hm_loss 0.5334 |wh_loss 2.2253 |off_loss 0.0375 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1574/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7929 |hm_loss 0.5331 |wh_loss 2.2239 |off_loss 0.0375 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1575/2110]|Tot: 0:00:34 |ETA: 0:00:00 |loss 0.7925 |hm_loss 0.5328 |wh_loss 2.2225 |off_loss 0.0374 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1576/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7920 |hm_loss 0.5325 |wh_loss 2.2211 |off_loss 0.0374 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1577/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7915 |hm_loss 0.5322 |wh_loss 2.2196 |off_loss 0.0374 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1578/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7910 |hm_loss 0.5319 |wh_loss 2.2182 |off_loss 0.0374 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1579/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7906 |hm_loss 0.5316 |wh_loss 2.2168 |off_loss 0.0373 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1580/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7901 |hm_loss 0.5313 |wh_loss 2.2154 |off_loss 0.0373 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1581/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7896 |hm_loss 0.5310 |wh_loss 2.2140 |off_loss 0.0373 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1582/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7892 |hm_loss 0.5307 |wh_loss 2.2126 |off_loss 0.0373 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1583/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7887 |hm_loss 0.5304 |wh_loss 2.2112 |off_loss 0.0372 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1584/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7883 |hm_loss 0.5301 |wh_loss 2.2098 |off_loss 0.0372 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1585/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7878 |hm_loss 0.5298 |wh_loss 2.2085 |off_loss 0.0372 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1586/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7873 |hm_loss 0.5295 |wh_loss 2.2071 |off_loss 0.0372 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1587/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7869 |hm_loss 0.5292 |wh_loss 2.2057 |off_loss 0.0371 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1588/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7864 |hm_loss 0.5289 |wh_loss 2.2043 |off_loss 0.0371 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1589/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7859 |hm_loss 0.5286 |wh_loss 2.2029 |off_loss 0.0371 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1590/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7855 |hm_loss 0.5283 |wh_loss 2.2015 |off_loss 0.0371 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1591/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7850 |hm_loss 0.5280 |wh_loss 2.2001 |off_loss 0.0371 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1592/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7846 |hm_loss 0.5277 |wh_loss 2.1987 |off_loss 0.0370 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1593/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7841 |hm_loss 0.5274 |wh_loss 2.1974 |off_loss 0.0370 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1594/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7837 |hm_loss 0.5271 |wh_loss 2.1960 |off_loss 0.0370 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1595/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7832 |hm_loss 0.5268 |wh_loss 2.1946 |off_loss 0.0370 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1596/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7827 |hm_loss 0.5265 |wh_loss 2.1932 |off_loss 0.0369 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1597/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7823 |hm_loss 0.5262 |wh_loss 2.1919 |off_loss 0.0369 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1598/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7818 |hm_loss 0.5259 |wh_loss 2.1905 |off_loss 0.0369 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1599/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7814 |hm_loss 0.5256 |wh_loss 2.1891 |off_loss 0.0369 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1600/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7809 |hm_loss 0.5253 |wh_loss 2.1878 |off_loss 0.0368 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1601/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7805 |hm_loss 0.5250 |wh_loss 2.1864 |off_loss 0.0368 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1602/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7800 |hm_loss 0.5247 |wh_loss 2.1850 |off_loss 0.0368 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1603/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7796 |hm_loss 0.5244 |wh_loss 2.1837 |off_loss 0.0368 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1604/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7791 |hm_loss 0.5241 |wh_loss 2.1823 |off_loss 0.0368 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1605/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7786 |hm_loss 0.5238 |wh_loss 2.1810 |off_loss 0.0367 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1606/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7782 |hm_loss 0.5235 |wh_loss 2.1796 |off_loss 0.0367 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1607/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7777 |hm_loss 0.5232 |wh_loss 2.1782 |off_loss 0.0367 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1608/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7773 |hm_loss 0.5229 |wh_loss 2.1769 |off_loss 0.0367 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1609/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7768 |hm_loss 0.5226 |wh_loss 2.1755 |off_loss 0.0366 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1610/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7764 |hm_loss 0.5224 |wh_loss 2.1742 |off_loss 0.0366 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1611/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7759 |hm_loss 0.5221 |wh_loss 2.1728 |off_loss 0.0366 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1612/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7755 |hm_loss 0.5218 |wh_loss 2.1715 |off_loss 0.0366 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1613/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7750 |hm_loss 0.5215 |wh_loss 2.1701 |off_loss 0.0365 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1614/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7746 |hm_loss 0.5212 |wh_loss 2.1688 |off_loss 0.0365 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1615/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7742 |hm_loss 0.5209 |wh_loss 2.1675 |off_loss 0.0365 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1616/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7737 |hm_loss 0.5206 |wh_loss 2.1661 |off_loss 0.0365 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1617/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7733 |hm_loss 0.5203 |wh_loss 2.1648 |off_loss 0.0365 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1618/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7728 |hm_loss 0.5200 |wh_loss 2.1634 |off_loss 0.0364 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1619/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7724 |hm_loss 0.5198 |wh_loss 2.1621 |off_loss 0.0364 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1620/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7719 |hm_loss 0.5195 |wh_loss 2.1608 |off_loss 0.0364 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1621/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7715 |hm_loss 0.5192 |wh_loss 2.1594 |off_loss 0.0364 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1622/2110]|Tot: 0:00:35 |ETA: 0:00:00 |loss 0.7711 |hm_loss 0.5189 |wh_loss 2.1581 |off_loss 0.0363 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1623/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7706 |hm_loss 0.5186 |wh_loss 2.1568 |off_loss 0.0363 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1624/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7702 |hm_loss 0.5183 |wh_loss 2.1555 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1625/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7697 |hm_loss 0.5180 |wh_loss 2.1541 |off_loss 0.0363 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1626/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7693 |hm_loss 0.5177 |wh_loss 2.1528 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1627/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7688 |hm_loss 0.5175 |wh_loss 2.1515 |off_loss 0.0362 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1628/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7684 |hm_loss 0.5172 |wh_loss 2.1502 |off_loss 0.0362 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1629/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7680 |hm_loss 0.5169 |wh_loss 2.1488 |off_loss 0.0362 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1630/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7675 |hm_loss 0.5166 |wh_loss 2.1475 |off_loss 0.0362 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1631/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7671 |hm_loss 0.5163 |wh_loss 2.1462 |off_loss 0.0361 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1632/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7667 |hm_loss 0.5160 |wh_loss 2.1449 |off_loss 0.0361 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1633/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7662 |hm_loss 0.5158 |wh_loss 2.1436 |off_loss 0.0361 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1634/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7658 |hm_loss 0.5155 |wh_loss 2.1423 |off_loss 0.0361 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1635/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7653 |hm_loss 0.5152 |wh_loss 2.1410 |off_loss 0.0361 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1636/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7649 |hm_loss 0.5149 |wh_loss 2.1396 |off_loss 0.0360 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1637/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7645 |hm_loss 0.5146 |wh_loss 2.1383 |off_loss 0.0360 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1638/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7640 |hm_loss 0.5143 |wh_loss 2.1370 |off_loss 0.0360 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1639/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7636 |hm_loss 0.5141 |wh_loss 2.1357 |off_loss 0.0360 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1640/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7632 |hm_loss 0.5138 |wh_loss 2.1344 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1641/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7627 |hm_loss 0.5135 |wh_loss 2.1331 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1642/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7623 |hm_loss 0.5132 |wh_loss 2.1318 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1643/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7619 |hm_loss 0.5129 |wh_loss 2.1305 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1644/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7614 |hm_loss 0.5127 |wh_loss 2.1292 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1645/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7610 |hm_loss 0.5124 |wh_loss 2.1280 |off_loss 0.0358 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1646/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7606 |hm_loss 0.5121 |wh_loss 2.1267 |off_loss 0.0358 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1647/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7602 |hm_loss 0.5118 |wh_loss 2.1254 |off_loss 0.0358 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1648/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7597 |hm_loss 0.5116 |wh_loss 2.1241 |off_loss 0.0358 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1649/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7593 |hm_loss 0.5113 |wh_loss 2.1228 |off_loss 0.0358 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1650/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7589 |hm_loss 0.5110 |wh_loss 2.1215 |off_loss 0.0357 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1651/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7585 |hm_loss 0.5107 |wh_loss 2.1202 |off_loss 0.0357 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1652/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7580 |hm_loss 0.5104 |wh_loss 2.1189 |off_loss 0.0357 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1653/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7576 |hm_loss 0.5102 |wh_loss 2.1177 |off_loss 0.0357 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1654/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7572 |hm_loss 0.5099 |wh_loss 2.1164 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1655/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7568 |hm_loss 0.5096 |wh_loss 2.1151 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1656/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7563 |hm_loss 0.5093 |wh_loss 2.1138 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1657/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7559 |hm_loss 0.5091 |wh_loss 2.1125 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1658/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7555 |hm_loss 0.5088 |wh_loss 2.1113 |off_loss 0.0356 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1659/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7551 |hm_loss 0.5085 |wh_loss 2.1100 |off_loss 0.0355 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1660/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7546 |hm_loss 0.5082 |wh_loss 2.1087 |off_loss 0.0355 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1661/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7542 |hm_loss 0.5080 |wh_loss 2.1075 |off_loss 0.0355 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1662/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7538 |hm_loss 0.5077 |wh_loss 2.1062 |off_loss 0.0355 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1663/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7534 |hm_loss 0.5074 |wh_loss 2.1049 |off_loss 0.0355 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1664/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7530 |hm_loss 0.5072 |wh_loss 2.1037 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1665/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7525 |hm_loss 0.5069 |wh_loss 2.1024 |off_loss 0.0354 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1666/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7521 |hm_loss 0.5066 |wh_loss 2.1011 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1667/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7517 |hm_loss 0.5063 |wh_loss 2.0999 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1668/2110]|Tot: 0:00:36 |ETA: 0:00:00 |loss 0.7513 |hm_loss 0.5061 |wh_loss 2.0986 |off_loss 0.0353 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1669/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7509 |hm_loss 0.5058 |wh_loss 2.0974 |off_loss 0.0353 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1670/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7504 |hm_loss 0.5055 |wh_loss 2.0961 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1671/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7500 |hm_loss 0.5053 |wh_loss 2.0949 |off_loss 0.0353 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1672/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7496 |hm_loss 0.5050 |wh_loss 2.0936 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1673/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7492 |hm_loss 0.5047 |wh_loss 2.0924 |off_loss 0.0352 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1674/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7488 |hm_loss 0.5045 |wh_loss 2.0911 |off_loss 0.0352 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1675/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7484 |hm_loss 0.5042 |wh_loss 2.0899 |off_loss 0.0352 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1676/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7480 |hm_loss 0.5039 |wh_loss 2.0886 |off_loss 0.0352 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1677/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7475 |hm_loss 0.5037 |wh_loss 2.0874 |off_loss 0.0352 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1678/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7471 |hm_loss 0.5034 |wh_loss 2.0861 |off_loss 0.0351 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1679/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7467 |hm_loss 0.5031 |wh_loss 2.0849 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1680/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7463 |hm_loss 0.5029 |wh_loss 2.0836 |off_loss 0.0351 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1681/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7459 |hm_loss 0.5026 |wh_loss 2.0824 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1682/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7455 |hm_loss 0.5023 |wh_loss 2.0812 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1683/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7451 |hm_loss 0.5021 |wh_loss 2.0799 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1684/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7447 |hm_loss 0.5018 |wh_loss 2.0787 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1685/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7443 |hm_loss 0.5015 |wh_loss 2.0775 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1686/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7438 |hm_loss 0.5013 |wh_loss 2.0762 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1687/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7434 |hm_loss 0.5010 |wh_loss 2.0750 |off_loss 0.0349 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1688/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7476 |hm_loss 0.5035 |wh_loss 2.0903 |off_loss 0.0351 |Data 0.006s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1689/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7472 |hm_loss 0.5032 |wh_loss 2.0890 |off_loss 0.0350 |Data 0.003s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1690/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7468 |hm_loss 0.5030 |wh_loss 2.0878 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1691/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7464 |hm_loss 0.5027 |wh_loss 2.0866 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1692/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7460 |hm_loss 0.5024 |wh_loss 2.0853 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1693/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7455 |hm_loss 0.5022 |wh_loss 2.0841 |off_loss 0.0350 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1694/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7451 |hm_loss 0.5019 |wh_loss 2.0829 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1695/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7447 |hm_loss 0.5016 |wh_loss 2.0817 |off_loss 0.0349 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1696/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7443 |hm_loss 0.5014 |wh_loss 2.0804 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1697/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7439 |hm_loss 0.5011 |wh_loss 2.0792 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1698/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7435 |hm_loss 0.5009 |wh_loss 2.0780 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1699/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7431 |hm_loss 0.5006 |wh_loss 2.0768 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1700/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7427 |hm_loss 0.5003 |wh_loss 2.0755 |off_loss 0.0348 |Data 0.010s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1701/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7423 |hm_loss 0.5001 |wh_loss 2.0743 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1702/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7419 |hm_loss 0.4998 |wh_loss 2.0731 |off_loss 0.0348 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1703/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7415 |hm_loss 0.4995 |wh_loss 2.0719 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1704/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7411 |hm_loss 0.4993 |wh_loss 2.0707 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1705/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7407 |hm_loss 0.4990 |wh_loss 2.0695 |off_loss 0.0347 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1706/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7403 |hm_loss 0.4988 |wh_loss 2.0682 |off_loss 0.0347 |Data 0.009s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1707/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7399 |hm_loss 0.4985 |wh_loss 2.0670 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1708/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7395 |hm_loss 0.4982 |wh_loss 2.0658 |off_loss 0.0347 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1709/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7391 |hm_loss 0.4980 |wh_loss 2.0646 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1710/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7387 |hm_loss 0.4977 |wh_loss 2.0634 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1711/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7383 |hm_loss 0.4975 |wh_loss 2.0622 |off_loss 0.0346 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1712/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7379 |hm_loss 0.4972 |wh_loss 2.0610 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1713/2110]|Tot: 0:00:37 |ETA: 0:00:00 |loss 0.7375 |hm_loss 0.4969 |wh_loss 2.0598 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1714/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7371 |hm_loss 0.4967 |wh_loss 2.0586 |off_loss 0.0345 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1715/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7367 |hm_loss 0.4964 |wh_loss 2.0574 |off_loss 0.0345 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1716/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7363 |hm_loss 0.4962 |wh_loss 2.0562 |off_loss 0.0345 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1717/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7359 |hm_loss 0.4959 |wh_loss 2.0550 |off_loss 0.0345 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1718/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7355 |hm_loss 0.4957 |wh_loss 2.0538 |off_loss 0.0345 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1719/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7351 |hm_loss 0.4954 |wh_loss 2.0526 |off_loss 0.0344 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1720/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7347 |hm_loss 0.4951 |wh_loss 2.0514 |off_loss 0.0344 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1721/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7343 |hm_loss 0.4949 |wh_loss 2.0502 |off_loss 0.0344 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1722/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7381 |hm_loss 0.4971 |wh_loss 2.0641 |off_loss 0.0346 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1723/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7411 |hm_loss 0.4989 |wh_loss 2.0747 |off_loss 0.0347 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1724/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7439 |hm_loss 0.5006 |wh_loss 2.0836 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1725/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7435 |hm_loss 0.5003 |wh_loss 2.0824 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1726/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7431 |hm_loss 0.5001 |wh_loss 2.0812 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1727/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7427 |hm_loss 0.4998 |wh_loss 2.0800 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1728/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7423 |hm_loss 0.4995 |wh_loss 2.0788 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1729/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7419 |hm_loss 0.4993 |wh_loss 2.0776 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1730/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7415 |hm_loss 0.4990 |wh_loss 2.0764 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1731/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7411 |hm_loss 0.4988 |wh_loss 2.0752 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1732/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7407 |hm_loss 0.4985 |wh_loss 2.0740 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1733/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7403 |hm_loss 0.4983 |wh_loss 2.0728 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1734/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7399 |hm_loss 0.4980 |wh_loss 2.0716 |off_loss 0.0347 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1735/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7395 |hm_loss 0.4977 |wh_loss 2.0704 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1736/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7391 |hm_loss 0.4975 |wh_loss 2.0692 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1737/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7387 |hm_loss 0.4972 |wh_loss 2.0681 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1738/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7383 |hm_loss 0.4970 |wh_loss 2.0669 |off_loss 0.0346 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1739/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7379 |hm_loss 0.4967 |wh_loss 2.0657 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1740/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7375 |hm_loss 0.4965 |wh_loss 2.0645 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1741/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7371 |hm_loss 0.4962 |wh_loss 2.0633 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1742/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7400 |hm_loss 0.4980 |wh_loss 2.0740 |off_loss 0.0347 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1743/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7432 |hm_loss 0.4999 |wh_loss 2.0847 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1744/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7428 |hm_loss 0.4996 |wh_loss 2.0835 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1745/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7424 |hm_loss 0.4994 |wh_loss 2.0823 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1746/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7420 |hm_loss 0.4991 |wh_loss 2.0812 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1747/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7416 |hm_loss 0.4989 |wh_loss 2.0800 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1748/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7412 |hm_loss 0.4986 |wh_loss 2.0788 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1749/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7408 |hm_loss 0.4983 |wh_loss 2.0776 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1750/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7404 |hm_loss 0.4981 |wh_loss 2.0764 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1751/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7400 |hm_loss 0.4978 |wh_loss 2.0752 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1752/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7396 |hm_loss 0.4976 |wh_loss 2.0740 |off_loss 0.0347 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1753/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7392 |hm_loss 0.4973 |wh_loss 2.0728 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1754/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7389 |hm_loss 0.4971 |wh_loss 2.0717 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1755/2110]|Tot: 0:00:38 |ETA: 0:00:00 |loss 0.7385 |hm_loss 0.4968 |wh_loss 2.0705 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1756/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7381 |hm_loss 0.4966 |wh_loss 2.0693 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1757/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7377 |hm_loss 0.4963 |wh_loss 2.0681 |off_loss 0.0346 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1758/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7373 |hm_loss 0.4961 |wh_loss 2.0670 |off_loss 0.0345 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1759/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7369 |hm_loss 0.4958 |wh_loss 2.0658 |off_loss 0.0345 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1760/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7365 |hm_loss 0.4956 |wh_loss 2.0646 |off_loss 0.0345 |Data 0.016s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1761/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7361 |hm_loss 0.4953 |wh_loss 2.0634 |off_loss 0.0345 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1762/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7358 |hm_loss 0.4951 |wh_loss 2.0623 |off_loss 0.0345 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1763/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7354 |hm_loss 0.4948 |wh_loss 2.0611 |off_loss 0.0344 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1764/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7350 |hm_loss 0.4946 |wh_loss 2.0599 |off_loss 0.0344 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1765/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7346 |hm_loss 0.4943 |wh_loss 2.0588 |off_loss 0.0344 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1766/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7342 |hm_loss 0.4941 |wh_loss 2.0576 |off_loss 0.0344 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1767/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7372 |hm_loss 0.4960 |wh_loss 2.0669 |off_loss 0.0344 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1768/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7403 |hm_loss 0.4981 |wh_loss 2.0764 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1769/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7437 |hm_loss 0.5002 |wh_loss 2.0846 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1770/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7463 |hm_loss 0.5024 |wh_loss 2.0883 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1771/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7491 |hm_loss 0.5046 |wh_loss 2.0935 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1772/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7522 |hm_loss 0.5068 |wh_loss 2.1009 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1773/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7556 |hm_loss 0.5090 |wh_loss 2.1118 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1774/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7591 |hm_loss 0.5112 |wh_loss 2.1230 |off_loss 0.0355 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1775/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7623 |hm_loss 0.5135 |wh_loss 2.1318 |off_loss 0.0357 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1776/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7619 |hm_loss 0.5132 |wh_loss 2.1306 |off_loss 0.0357 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1777/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7615 |hm_loss 0.5129 |wh_loss 2.1294 |off_loss 0.0356 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1778/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7611 |hm_loss 0.5127 |wh_loss 2.1282 |off_loss 0.0356 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1779/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7607 |hm_loss 0.5124 |wh_loss 2.1270 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1780/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7603 |hm_loss 0.5122 |wh_loss 2.1258 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1781/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7599 |hm_loss 0.5119 |wh_loss 2.1246 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1782/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7595 |hm_loss 0.5117 |wh_loss 2.1234 |off_loss 0.0355 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1783/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7591 |hm_loss 0.5114 |wh_loss 2.1222 |off_loss 0.0355 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1784/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7588 |hm_loss 0.5112 |wh_loss 2.1210 |off_loss 0.0355 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1785/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7584 |hm_loss 0.5109 |wh_loss 2.1199 |off_loss 0.0355 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1786/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7580 |hm_loss 0.5106 |wh_loss 2.1187 |off_loss 0.0355 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1787/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7576 |hm_loss 0.5104 |wh_loss 2.1175 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1788/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7572 |hm_loss 0.5101 |wh_loss 2.1163 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1789/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7568 |hm_loss 0.5099 |wh_loss 2.1151 |off_loss 0.0354 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1790/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7564 |hm_loss 0.5096 |wh_loss 2.1139 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1791/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7560 |hm_loss 0.5094 |wh_loss 2.1128 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1792/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7556 |hm_loss 0.5091 |wh_loss 2.1116 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1793/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7552 |hm_loss 0.5089 |wh_loss 2.1104 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1794/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7548 |hm_loss 0.5086 |wh_loss 2.1092 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1795/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7544 |hm_loss 0.5084 |wh_loss 2.1080 |off_loss 0.0353 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1796/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7541 |hm_loss 0.5081 |wh_loss 2.1069 |off_loss 0.0353 |Data 0.005s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1797/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7537 |hm_loss 0.5079 |wh_loss 2.1057 |off_loss 0.0352 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1798/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7533 |hm_loss 0.5076 |wh_loss 2.1045 |off_loss 0.0352 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1799/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7529 |hm_loss 0.5074 |wh_loss 2.1034 |off_loss 0.0352 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1800/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7525 |hm_loss 0.5071 |wh_loss 2.1022 |off_loss 0.0352 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1801/2110]|Tot: 0:00:39 |ETA: 0:00:00 |loss 0.7521 |hm_loss 0.5068 |wh_loss 2.1010 |off_loss 0.0352 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1802/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7517 |hm_loss 0.5066 |wh_loss 2.0999 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1803/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7513 |hm_loss 0.5063 |wh_loss 2.0987 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1804/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7510 |hm_loss 0.5061 |wh_loss 2.0975 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1805/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7506 |hm_loss 0.5058 |wh_loss 2.0964 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1806/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7502 |hm_loss 0.5056 |wh_loss 2.0952 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1807/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7498 |hm_loss 0.5053 |wh_loss 2.0941 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1808/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7494 |hm_loss 0.5051 |wh_loss 2.0929 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1809/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7490 |hm_loss 0.5048 |wh_loss 2.0917 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1810/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7486 |hm_loss 0.5046 |wh_loss 2.0906 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1811/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7483 |hm_loss 0.5043 |wh_loss 2.0894 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1812/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7479 |hm_loss 0.5041 |wh_loss 2.0883 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1813/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7475 |hm_loss 0.5038 |wh_loss 2.0871 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1814/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7471 |hm_loss 0.5036 |wh_loss 2.0860 |off_loss 0.0349 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1815/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7467 |hm_loss 0.5033 |wh_loss 2.0848 |off_loss 0.0349 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1816/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7463 |hm_loss 0.5031 |wh_loss 2.0837 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1817/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7460 |hm_loss 0.5029 |wh_loss 2.0825 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1818/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7456 |hm_loss 0.5026 |wh_loss 2.0814 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1819/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7452 |hm_loss 0.5024 |wh_loss 2.0803 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1820/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7448 |hm_loss 0.5021 |wh_loss 2.0791 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1821/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7444 |hm_loss 0.5019 |wh_loss 2.0780 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1822/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7440 |hm_loss 0.5016 |wh_loss 2.0768 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1823/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7437 |hm_loss 0.5014 |wh_loss 2.0757 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1824/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7433 |hm_loss 0.5011 |wh_loss 2.0746 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1825/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7429 |hm_loss 0.5009 |wh_loss 2.0734 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1826/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7425 |hm_loss 0.5006 |wh_loss 2.0723 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1827/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7422 |hm_loss 0.5004 |wh_loss 2.0711 |off_loss 0.0347 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1828/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7418 |hm_loss 0.5001 |wh_loss 2.0700 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1829/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7451 |hm_loss 0.5021 |wh_loss 2.0822 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1830/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7487 |hm_loss 0.5043 |wh_loss 2.0945 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1831/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7483 |hm_loss 0.5041 |wh_loss 2.0934 |off_loss 0.0349 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1832/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7479 |hm_loss 0.5038 |wh_loss 2.0922 |off_loss 0.0349 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1833/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7475 |hm_loss 0.5036 |wh_loss 2.0911 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1834/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7472 |hm_loss 0.5034 |wh_loss 2.0899 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1835/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7468 |hm_loss 0.5031 |wh_loss 2.0888 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1836/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7464 |hm_loss 0.5029 |wh_loss 2.0877 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1837/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7460 |hm_loss 0.5026 |wh_loss 2.0865 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1838/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7457 |hm_loss 0.5024 |wh_loss 2.0854 |off_loss 0.0347 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1839/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7484 |hm_loss 0.5041 |wh_loss 2.0942 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1840/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7511 |hm_loss 0.5059 |wh_loss 2.1016 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1841/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7540 |hm_loss 0.5078 |wh_loss 2.1097 |off_loss 0.0352 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1842/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7569 |hm_loss 0.5097 |wh_loss 2.1191 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1843/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7599 |hm_loss 0.5117 |wh_loss 2.1280 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1844/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7626 |hm_loss 0.5138 |wh_loss 2.1332 |off_loss 0.0355 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1845/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7652 |hm_loss 0.5159 |wh_loss 2.1379 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1846/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7683 |hm_loss 0.5180 |wh_loss 2.1468 |off_loss 0.0357 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1847/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7713 |hm_loss 0.5200 |wh_loss 2.1551 |off_loss 0.0358 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1848/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7746 |hm_loss 0.5221 |wh_loss 2.1654 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1849/2110]|Tot: 0:00:40 |ETA: 0:00:00 |loss 0.7781 |hm_loss 0.5242 |wh_loss 2.1762 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1850/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7811 |hm_loss 0.5263 |wh_loss 2.1848 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1851/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7807 |hm_loss 0.5260 |wh_loss 2.1836 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1852/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7803 |hm_loss 0.5258 |wh_loss 2.1825 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1853/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7799 |hm_loss 0.5255 |wh_loss 2.1813 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1854/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7795 |hm_loss 0.5253 |wh_loss 2.1801 |off_loss 0.0363 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1855/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7791 |hm_loss 0.5250 |wh_loss 2.1789 |off_loss 0.0362 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1856/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7788 |hm_loss 0.5248 |wh_loss 2.1778 |off_loss 0.0362 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1857/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7784 |hm_loss 0.5245 |wh_loss 2.1766 |off_loss 0.0362 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1858/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7780 |hm_loss 0.5243 |wh_loss 2.1754 |off_loss 0.0362 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1859/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7776 |hm_loss 0.5240 |wh_loss 2.1742 |off_loss 0.0362 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1860/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7772 |hm_loss 0.5237 |wh_loss 2.1731 |off_loss 0.0361 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1861/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7768 |hm_loss 0.5235 |wh_loss 2.1719 |off_loss 0.0361 |Data 0.009s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1862/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7764 |hm_loss 0.5232 |wh_loss 2.1707 |off_loss 0.0361 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1863/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7760 |hm_loss 0.5230 |wh_loss 2.1696 |off_loss 0.0361 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1864/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7756 |hm_loss 0.5227 |wh_loss 2.1684 |off_loss 0.0361 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1865/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7753 |hm_loss 0.5225 |wh_loss 2.1673 |off_loss 0.0360 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1866/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7749 |hm_loss 0.5222 |wh_loss 2.1661 |off_loss 0.0360 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1867/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7745 |hm_loss 0.5220 |wh_loss 2.1649 |off_loss 0.0360 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1868/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7741 |hm_loss 0.5217 |wh_loss 2.1638 |off_loss 0.0360 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1869/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7737 |hm_loss 0.5215 |wh_loss 2.1626 |off_loss 0.0360 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1870/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7733 |hm_loss 0.5212 |wh_loss 2.1615 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1871/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7729 |hm_loss 0.5210 |wh_loss 2.1603 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1872/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7726 |hm_loss 0.5207 |wh_loss 2.1592 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1873/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7722 |hm_loss 0.5205 |wh_loss 2.1580 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1874/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7718 |hm_loss 0.5202 |wh_loss 2.1569 |off_loss 0.0359 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1875/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7714 |hm_loss 0.5200 |wh_loss 2.1557 |off_loss 0.0359 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1876/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7710 |hm_loss 0.5197 |wh_loss 2.1546 |off_loss 0.0358 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1877/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7706 |hm_loss 0.5195 |wh_loss 2.1534 |off_loss 0.0358 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1878/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7703 |hm_loss 0.5192 |wh_loss 2.1523 |off_loss 0.0358 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1879/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7699 |hm_loss 0.5190 |wh_loss 2.1511 |off_loss 0.0358 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1880/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7695 |hm_loss 0.5187 |wh_loss 2.1500 |off_loss 0.0358 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1881/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7691 |hm_loss 0.5185 |wh_loss 2.1488 |off_loss 0.0357 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1882/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7687 |hm_loss 0.5182 |wh_loss 2.1477 |off_loss 0.0357 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1883/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7720 |hm_loss 0.5203 |wh_loss 2.1601 |off_loss 0.0358 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1884/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7747 |hm_loss 0.5221 |wh_loss 2.1687 |off_loss 0.0358 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1885/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7743 |hm_loss 0.5218 |wh_loss 2.1676 |off_loss 0.0357 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1886/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7739 |hm_loss 0.5216 |wh_loss 2.1664 |off_loss 0.0357 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1887/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7735 |hm_loss 0.5213 |wh_loss 2.1653 |off_loss 0.0357 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1888/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7732 |hm_loss 0.5211 |wh_loss 2.1641 |off_loss 0.0357 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1889/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7728 |hm_loss 0.5208 |wh_loss 2.1630 |off_loss 0.0357 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1890/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7724 |hm_loss 0.5206 |wh_loss 2.1618 |off_loss 0.0357 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1891/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7720 |hm_loss 0.5203 |wh_loss 2.1607 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1892/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7716 |hm_loss 0.5201 |wh_loss 2.1596 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1893/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7713 |hm_loss 0.5198 |wh_loss 2.1584 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1894/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7709 |hm_loss 0.5196 |wh_loss 2.1573 |off_loss 0.0356 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1895/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7705 |hm_loss 0.5193 |wh_loss 2.1561 |off_loss 0.0356 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1896/2110]|Tot: 0:00:41 |ETA: 0:00:00 |loss 0.7701 |hm_loss 0.5191 |wh_loss 2.1550 |off_loss 0.0355 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1897/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7697 |hm_loss 0.5188 |wh_loss 2.1539 |off_loss 0.0355 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1898/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7694 |hm_loss 0.5186 |wh_loss 2.1527 |off_loss 0.0355 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1899/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7690 |hm_loss 0.5183 |wh_loss 2.1516 |off_loss 0.0355 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1900/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7686 |hm_loss 0.5181 |wh_loss 2.1505 |off_loss 0.0355 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1901/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7682 |hm_loss 0.5178 |wh_loss 2.1493 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1902/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7679 |hm_loss 0.5176 |wh_loss 2.1482 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1903/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7675 |hm_loss 0.5174 |wh_loss 2.1471 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1904/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7671 |hm_loss 0.5171 |wh_loss 2.1460 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1905/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7667 |hm_loss 0.5169 |wh_loss 2.1448 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1906/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7663 |hm_loss 0.5166 |wh_loss 2.1437 |off_loss 0.0354 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1907/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7660 |hm_loss 0.5164 |wh_loss 2.1426 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1908/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7656 |hm_loss 0.5161 |wh_loss 2.1415 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1909/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7652 |hm_loss 0.5159 |wh_loss 2.1403 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1910/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7649 |hm_loss 0.5157 |wh_loss 2.1392 |off_loss 0.0353 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1911/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7645 |hm_loss 0.5154 |wh_loss 2.1381 |off_loss 0.0353 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1912/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7641 |hm_loss 0.5152 |wh_loss 2.1370 |off_loss 0.0352 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1913/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7637 |hm_loss 0.5149 |wh_loss 2.1359 |off_loss 0.0352 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1914/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7634 |hm_loss 0.5147 |wh_loss 2.1347 |off_loss 0.0352 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1915/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7630 |hm_loss 0.5144 |wh_loss 2.1336 |off_loss 0.0352 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1916/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7626 |hm_loss 0.5142 |wh_loss 2.1325 |off_loss 0.0352 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1917/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7622 |hm_loss 0.5140 |wh_loss 2.1314 |off_loss 0.0352 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1918/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7619 |hm_loss 0.5137 |wh_loss 2.1303 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1919/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7615 |hm_loss 0.5135 |wh_loss 2.1292 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1920/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7611 |hm_loss 0.5132 |wh_loss 2.1281 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1921/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7608 |hm_loss 0.5130 |wh_loss 2.1270 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1922/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7604 |hm_loss 0.5128 |wh_loss 2.1259 |off_loss 0.0351 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1923/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7600 |hm_loss 0.5125 |wh_loss 2.1248 |off_loss 0.0350 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1924/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7597 |hm_loss 0.5123 |wh_loss 2.1237 |off_loss 0.0350 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1925/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7593 |hm_loss 0.5120 |wh_loss 2.1226 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1926/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7589 |hm_loss 0.5118 |wh_loss 2.1215 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1927/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7586 |hm_loss 0.5116 |wh_loss 2.1204 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1928/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7582 |hm_loss 0.5113 |wh_loss 2.1193 |off_loss 0.0350 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1929/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7578 |hm_loss 0.5111 |wh_loss 2.1182 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1930/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7575 |hm_loss 0.5108 |wh_loss 2.1171 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1931/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7571 |hm_loss 0.5106 |wh_loss 2.1160 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1932/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7567 |hm_loss 0.5104 |wh_loss 2.1149 |off_loss 0.0349 |Data 0.017s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1933/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7564 |hm_loss 0.5101 |wh_loss 2.1138 |off_loss 0.0349 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1934/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7560 |hm_loss 0.5099 |wh_loss 2.1127 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1935/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7556 |hm_loss 0.5097 |wh_loss 2.1116 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1936/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7553 |hm_loss 0.5094 |wh_loss 2.1105 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1937/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7549 |hm_loss 0.5092 |wh_loss 2.1094 |off_loss 0.0348 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1938/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7546 |hm_loss 0.5090 |wh_loss 2.1083 |off_loss 0.0348 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1939/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7542 |hm_loss 0.5087 |wh_loss 2.1072 |off_loss 0.0348 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1940/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7538 |hm_loss 0.5085 |wh_loss 2.1062 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1941/2110]|Tot: 0:00:42 |ETA: 0:00:00 |loss 0.7535 |hm_loss 0.5083 |wh_loss 2.1051 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1942/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7531 |hm_loss 0.5080 |wh_loss 2.1040 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1943/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7528 |hm_loss 0.5078 |wh_loss 2.1029 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1944/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7524 |hm_loss 0.5076 |wh_loss 2.1018 |off_loss 0.0347 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1945/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7520 |hm_loss 0.5073 |wh_loss 2.1007 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1946/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7517 |hm_loss 0.5071 |wh_loss 2.0997 |off_loss 0.0346 |Data 0.002s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1947/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7513 |hm_loss 0.5069 |wh_loss 2.0986 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1948/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7510 |hm_loss 0.5066 |wh_loss 2.0975 |off_loss 0.0346 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1949/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7506 |hm_loss 0.5064 |wh_loss 2.0964 |off_loss 0.0346 |Data 0.000s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1950/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7548 |hm_loss 0.5082 |wh_loss 2.1193 |off_loss 0.0346 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1951/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7587 |hm_loss 0.5100 |wh_loss 2.1392 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1952/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7623 |hm_loss 0.5119 |wh_loss 2.1558 |off_loss 0.0349 |Data 0.001s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1953/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7657 |hm_loss 0.5137 |wh_loss 2.1700 |off_loss 0.0350 |Data 0.004s(0.001s) |Net 0.022s
ctdet/coco_dla| val: [5][1954/2110]|Tot: 0:00:43 |ETA: 0:00:00 |loss 0.7684 |hm_loss 0.5154 |wh_loss 2.1795 |off_loss 0.0351 |Data 0.000s(0.001s) |Net 0.022s
Traceback (most recent call last):
File "main.py", line 105, in <module>
main(opt)
File "main.py", line 82, in main
log_dict_val, preds = trainer.val(epoch, val_loader)
File "/root/c/src/lib/trains/base_trainer.py", line 116, in val
return self.run_epoch('val', epoch, data_loader)
File "/root/c/src/lib/trains/base_trainer.py", line 61, in run_epoch
for iter_id, batch in enumerate(data_loader):
File "/root/.pyenv/versions/3.6.9/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 336, in __next__
return self._process_next_batch(batch)
File "/root/.pyenv/versions/3.6.9/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 357, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
AttributeError: Traceback (most recent call last):
File "/root/.pyenv/versions/3.6.9/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 106, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/root/.pyenv/versions/3.6.9/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 106, in <listcomp>
samples = collate_fn([dataset[i] for i in batch_indices])
File "/root/c/src/lib/datasets/sample/ctdet.py", line 40, in __getitem__
height, width = img.shape[0], img.shape[1]
AttributeError: 'NoneType' object has no attribute 'shape'
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0
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|
3bee4ef04ff1e0164c1b359a305f429120aab5c6
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|
py
|
Python
|
easy_mailer/__init__.py
|
JnaneshPrabhu/easy-mailer
|
c844e16c51e95ce9fa052581fdeba98f0307f682
|
[
"MIT"
] | null | null | null |
easy_mailer/__init__.py
|
JnaneshPrabhu/easy-mailer
|
c844e16c51e95ce9fa052581fdeba98f0307f682
|
[
"MIT"
] | null | null | null |
easy_mailer/__init__.py
|
JnaneshPrabhu/easy-mailer
|
c844e16c51e95ce9fa052581fdeba98f0307f682
|
[
"MIT"
] | null | null | null |
from easy_mailer.send_mail import send_mail
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0
| 7
|
ce0a5fd236b8d2380b5c2266229e61e99e49953f
| 781
|
py
|
Python
|
common/slewlimiter.py
|
frc5024/RocketShip
|
db3aed3d169292663036a9f5fd047dc11d92ca6f
|
[
"MIT"
] | 3
|
2019-04-29T02:47:30.000Z
|
2019-04-30T16:35:15.000Z
|
common/slewlimiter.py
|
frc5024/RocketShip
|
db3aed3d169292663036a9f5fd047dc11d92ca6f
|
[
"MIT"
] | null | null | null |
common/slewlimiter.py
|
frc5024/RocketShip
|
db3aed3d169292663036a9f5fd047dc11d92ca6f
|
[
"MIT"
] | null | null | null |
class SlewLimiter:
def __init__(self, limit):
self.limit = limit
self.output = 0.0
def Feed(self, value):
error = value - self.output
if error > self.limit:
error = self.limit
elif error < (self.limit * -1):
error = self.limit * -1
self.output += error
return self.output
class MultipleSlewLimiter:
def __init__(self, limit):
self.limit = limit
self.output = 0.0
def Feed(self, value):
error = value - self.output
if error > value *self.limit:
error = self.limit
elif error < (value * self.limit * -1):
error = self.limit * -1
self.output += error
return self.output
MultipleSlewLimiter
| 27.892857
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0
| 7
|
ce1c5d1920cff4295ce4d7e69906d6c1fbeece48
| 42
|
py
|
Python
|
examples/phobos/tests/test_std_socket.py
|
kinke/autowrap
|
2f042df3f292aa39b1da0b9607fbe3424f56ff4a
|
[
"BSD-3-Clause"
] | 47
|
2019-07-16T10:38:07.000Z
|
2022-03-30T16:34:24.000Z
|
examples/phobos/tests/test_std_socket.py
|
kinke/autowrap
|
2f042df3f292aa39b1da0b9607fbe3424f56ff4a
|
[
"BSD-3-Clause"
] | 199
|
2019-06-17T23:24:40.000Z
|
2021-06-16T16:41:36.000Z
|
examples/phobos/tests/test_std_socket.py
|
kinke/autowrap
|
2f042df3f292aa39b1da0b9607fbe3424f56ff4a
|
[
"BSD-3-Clause"
] | 7
|
2019-09-13T18:03:49.000Z
|
2022-01-17T03:53:00.000Z
|
def test_import():
import std_socket
| 10.5
| 21
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| 42
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0
| 7
|
cbf362b4606d14fc6c8a42c06eea6816fdd3623c
| 71
|
py
|
Python
|
conda-store-server/conda_store_server/server/utils.py
|
isabella232/conda-store
|
5bf691068561986756740a0baab1ee035ffbeffb
|
[
"BSD-3-Clause"
] | null | null | null |
conda-store-server/conda_store_server/server/utils.py
|
isabella232/conda-store
|
5bf691068561986756740a0baab1ee035ffbeffb
|
[
"BSD-3-Clause"
] | 1
|
2021-04-17T10:54:47.000Z
|
2021-04-17T10:54:47.000Z
|
conda-store-server/conda_store_server/server/utils.py
|
isabella232/conda-store
|
5bf691068561986756740a0baab1ee035ffbeffb
|
[
"BSD-3-Clause"
] | null | null | null |
from flask import g
def get_conda_store():
return g._conda_store
| 11.833333
| 25
| 0.746479
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| 71
| 5
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|
0
| 8
|
cbfb15c96a8de2eab2d13c4c509d5078de16e30f
| 6,101
|
py
|
Python
|
dsps/tests/test_diffstar_photometry_kernels.py
|
ArgonneCPAC/dsps
|
a08da74cf9df4b12197805531d0b273d98ed5da6
|
[
"BSD-3-Clause"
] | 13
|
2021-12-13T20:10:35.000Z
|
2022-03-08T17:58:06.000Z
|
dsps/tests/test_diffstar_photometry_kernels.py
|
ArgonneCPAC/dsps
|
a08da74cf9df4b12197805531d0b273d98ed5da6
|
[
"BSD-3-Clause"
] | null | null | null |
dsps/tests/test_diffstar_photometry_kernels.py
|
ArgonneCPAC/dsps
|
a08da74cf9df4b12197805531d0b273d98ed5da6
|
[
"BSD-3-Clause"
] | 1
|
2021-12-14T08:04:42.000Z
|
2021-12-14T08:04:42.000Z
|
"""
"""
import numpy as np
from ..diffstar_photometry_kernels import (
_calc_weighted_rest_mag_from_diffstar_params_const_zmet,
_calc_weighted_rest_mag_from_diffstar_params_const_zmet_dust,
_calc_weighted_obs_mag_from_diffstar_params_const_zmet_dust,
_calc_weighted_rest_mag_from_diffstar_params_age_correlated_zmet,
_calc_weighted_obs_mag_from_diffstar_params_const_zmet_agedep_dust,
)
from ..sfh_model import DEFAULT_MAH_PARAMS, DEFAULT_MS_PARAMS, DEFAULT_Q_PARAMS
from ..mzr import DEFAULT_MZR_PARAMS
from .retrieve_fake_fsps_data import load_fake_sps_data
from ..flat_wcdm import PLANCK15, _lookback_to_z
def test_calc_weighted_rest_mag_from_diffstar_params_const_zmet():
res = load_fake_sps_data()
filter_waves, filter_trans, wave_ssp, spec_ssp, lgZsun_bin_mids, log_age_gyr = res
t_obs = 11.0
mah_params = np.array(list(DEFAULT_MAH_PARAMS.values()))
ms_params = np.array(list(DEFAULT_MS_PARAMS.values()))
q_params = np.array(list(DEFAULT_Q_PARAMS.values()))
met_params = np.array(list(DEFAULT_MZR_PARAMS.values()))
lgmet = -1.0
lgmet_scatter = met_params[-1]
args = (
t_obs,
lgZsun_bin_mids,
log_age_gyr,
wave_ssp,
spec_ssp,
filter_waves[0, :],
filter_trans[0, :],
*mah_params,
*ms_params,
*q_params,
lgmet,
lgmet_scatter,
)
mag = _calc_weighted_rest_mag_from_diffstar_params_const_zmet(*args)
assert 0 < mag < 10
def test_calc_weighted_rest_mag_from_diffstar_params_const_zmet_dust():
res = load_fake_sps_data()
filter_waves, filter_trans, wave_ssp, spec_ssp, lgZsun_bin_mids, log_age_gyr = res
t_obs = 11.0
mah_params = np.array(list(DEFAULT_MAH_PARAMS.values()))
ms_params = np.array(list(DEFAULT_MS_PARAMS.values()))
q_params = np.array(list(DEFAULT_Q_PARAMS.values()))
met_params = np.array(list(DEFAULT_MZR_PARAMS.values()))
lgmet = -1.0
lgmet_scatter = met_params[-1]
args = (
t_obs,
lgZsun_bin_mids,
log_age_gyr,
wave_ssp,
spec_ssp,
filter_waves[0, :],
filter_trans[0, :],
*mah_params,
*ms_params,
*q_params,
lgmet,
lgmet_scatter,
)
mag_nodust = _calc_weighted_rest_mag_from_diffstar_params_const_zmet(*args)
dust_x0, dust_gamma, dust_ampl, dust_slope, dust_Av = 0.25, 0.1, 0.5, 1.5, 1.0
dust_params = dust_x0, dust_gamma, dust_ampl, dust_slope, dust_Av
args2 = (*args, *dust_params)
mag_dust = _calc_weighted_rest_mag_from_diffstar_params_const_zmet_dust(*args2)
assert mag_nodust < mag_dust
def test_calc_weighted_obs_mag_from_diffstar_params_const_zmet_dust():
res = load_fake_sps_data()
filter_waves, filter_trans, wave_ssp, spec_ssp, lgZsun_bin_mids, log_age_gyr = res
mah_params = np.array(list(DEFAULT_MAH_PARAMS.values()))
ms_params = np.array(list(DEFAULT_MS_PARAMS.values()))
q_params = np.array(list(DEFAULT_Q_PARAMS.values()))
met_params = np.array(list(DEFAULT_MZR_PARAMS.values()))
lgmet = -1.0
lgmet_scatter = met_params[-1]
dust_x0, dust_gamma, dust_ampl, dust_slope, dust_Av = 0.25, 0.1, 0.5, 1.5, 1.0
dust_params = dust_x0, dust_gamma, dust_ampl, dust_slope, dust_Av
z_obs = 0.5
TODAY = 13.8
t_obs = TODAY - _lookback_to_z(z_obs, *PLANCK15)
args = (
t_obs,
z_obs,
*PLANCK15,
lgZsun_bin_mids,
log_age_gyr,
wave_ssp,
spec_ssp,
filter_waves[0, :],
filter_trans[0, :],
*mah_params,
*ms_params,
*q_params,
lgmet,
lgmet_scatter,
*dust_params,
)
res = _calc_weighted_obs_mag_from_diffstar_params_const_zmet_dust(*args)
obs_mag, weighted_ssp, attenuation = res
def test_calc_weighted_rest_mag_from_diffstar_params_age_correlated_zmet():
res = load_fake_sps_data()
filter_waves, filter_trans, wave_ssp, spec_ssp, lgZsun_bin_mids, log_age_gyr = res
t_obs = 11.0
mah_params = np.array(list(DEFAULT_MAH_PARAMS.values()))
ms_params = np.array(list(DEFAULT_MS_PARAMS.values()))
q_params = np.array(list(DEFAULT_Q_PARAMS.values()))
met_params = np.array(list(DEFAULT_MZR_PARAMS.values()))
lgmet_young, lgmet_old = -1.0, -1.0
lgmet_scatter = met_params[-1]
args = (
t_obs,
lgZsun_bin_mids,
log_age_gyr,
wave_ssp,
spec_ssp,
filter_waves[0, :],
filter_trans[0, :],
*mah_params,
*ms_params,
*q_params,
lgmet_young,
lgmet_old,
lgmet_scatter,
)
mag = _calc_weighted_rest_mag_from_diffstar_params_age_correlated_zmet(*args)
assert 0 < mag < 10
def test_calc_weighted_obs_mag_from_diffstar_params_const_zmet_agedep_dust():
res = load_fake_sps_data()
filter_waves, filter_trans, wave_ssp, spec_ssp, lgZsun_bin_mids, log_age_gyr = res
mah_params = np.array(list(DEFAULT_MAH_PARAMS.values()))
ms_params = np.array(list(DEFAULT_MS_PARAMS.values()))
q_params = np.array(list(DEFAULT_Q_PARAMS.values()))
met_params = np.array(list(DEFAULT_MZR_PARAMS.values()))
lgmet = -1.0
lgmet_scatter = met_params[-1]
dust_x0, dust_gamma, dust_ampl = 0.25, 0.1, 0.5
dust_slope_young, dust_slope_old, dust_Av_young, dust_Av_old = -0.5, -0.1, 2, 0.5
dust_params = (
dust_x0,
dust_gamma,
dust_ampl,
dust_slope_young,
dust_slope_old,
dust_Av_young,
dust_Av_old,
)
z_obs = 0.5
TODAY = 13.8
t_obs = TODAY - _lookback_to_z(z_obs, *PLANCK15)
args = (
t_obs,
z_obs,
*PLANCK15,
lgZsun_bin_mids,
log_age_gyr,
wave_ssp,
spec_ssp,
filter_waves[0, :],
filter_trans[0, :],
*mah_params,
*ms_params,
*q_params,
lgmet,
lgmet_scatter,
*dust_params,
)
res = _calc_weighted_obs_mag_from_diffstar_params_const_zmet_agedep_dust(*args)
obs_mag, weighted_ssp, attenuation = res
| 30.054187
| 86
| 0.676938
| 895
| 6,101
| 4.115084
| 0.09162
| 0.043443
| 0.070595
| 0.092316
| 0.914743
| 0.914743
| 0.912843
| 0.912843
| 0.89275
| 0.87836
| 0
| 0.022505
| 0.227995
| 6,101
| 202
| 87
| 30.20297
| 0.759448
| 0
| 0
| 0.741176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017647
| 1
| 0.029412
| false
| 0
| 0.035294
| 0
| 0.064706
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
0258c375a64479a5f2a840091e455e3d4a011f9f
| 103,067
|
py
|
Python
|
sdk/EntitySearch/entity_search_client/models/_models.py
|
WMRamadan/bing-search-sdk-for-python
|
276d9cd6963c939081b3dec91bdd9aded42b3b35
|
[
"MIT"
] | 12
|
2021-03-11T20:24:12.000Z
|
2022-02-10T22:55:03.000Z
|
sdk/EntitySearch/entity_search_client/models/_models.py
|
WMRamadan/bing-search-sdk-for-python
|
276d9cd6963c939081b3dec91bdd9aded42b3b35
|
[
"MIT"
] | null | null | null |
sdk/EntitySearch/entity_search_client/models/_models.py
|
WMRamadan/bing-search-sdk-for-python
|
276d9cd6963c939081b3dec91bdd9aded42b3b35
|
[
"MIT"
] | 10
|
2021-03-09T17:02:48.000Z
|
2022-02-12T18:40:01.000Z
|
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.0.6320, generator: {generator})
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from azure.core.exceptions import HttpResponseError
import msrest.serialization
class ResponseBase(msrest.serialization.Model):
"""ResponseBase.
:param type:
:type type: str
"""
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(ResponseBase, self).__init__(**kwargs)
self.type = kwargs.get('type', None)
class Identifiable(ResponseBase):
"""Defines the identity of a resource.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
"""
_validation = {
'id': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(Identifiable, self).__init__(**kwargs)
self.id = None
class Response(Identifiable):
"""Defines a response. All schemas that could be returned at the root of a response should inherit from this.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(Response, self).__init__(**kwargs)
self.contractual_rules = None
self.web_search_url = None
class Thing(Response):
"""Thing.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(Thing, self).__init__(**kwargs)
self.name = None
self.url = None
self.image = None
self.description = None
self.entity_presentation_info = None
self.bing_id = None
class Place(Thing):
"""Defines information about a local entity, such as a restaurant or hotel.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(Place, self).__init__(**kwargs)
self.address = None
self.telephone = None
class Airport(Place):
"""Airport.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
:ivar iata_code:
:vartype iata_code: str
:ivar icao_code:
:vartype icao_code: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
'iata_code': {'readonly': True},
'icao_code': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
'iata_code': {'key': 'iataCode', 'type': 'str'},
'icao_code': {'key': 'icaoCode', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(Airport, self).__init__(**kwargs)
self.iata_code = None
self.icao_code = None
class Answer(Response):
"""Answer.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(Answer, self).__init__(**kwargs)
class CivicStructure(Place):
"""CivicStructure.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(CivicStructure, self).__init__(**kwargs)
class ContractualRulesContractualRule(msrest.serialization.Model):
"""ContractualRulesContractualRule.
You probably want to use the sub-classes and not this class directly. Known
sub-classes are: ContractualRulesAttribution.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:ivar target_property_name: The name of the field that the rule applies to.
:vartype target_property_name: str
:param type: Required. Constant filled by server.
:type type: str
"""
_validation = {
'target_property_name': {'readonly': True},
'type': {'required': True},
}
_attribute_map = {
'target_property_name': {'key': 'targetPropertyName', 'type': 'str'},
'type': {'key': '_type', 'type': 'str'},
}
_subtype_map = {
'type': {'ContractualRules/Attribution': 'ContractualRulesAttribution'}
}
def __init__(
self,
**kwargs
):
super(ContractualRulesContractualRule, self).__init__(**kwargs)
self.target_property_name = None
self.type = None # type: Optional[str]
class ContractualRulesAttribution(ContractualRulesContractualRule):
"""ContractualRulesAttribution.
You probably want to use the sub-classes and not this class directly. Known
sub-classes are: ContractualRulesLicenseAttribution, ContractualRulesLinkAttribution, ContractualRulesMediaAttribution, ContractualRulesTextAttribution.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:ivar target_property_name: The name of the field that the rule applies to.
:vartype target_property_name: str
:param type: Required. Constant filled by server.
:type type: str
:ivar must_be_close_to_content: A Boolean value that determines whether the contents of the
rule must be placed in close proximity to the field that the rule applies to. If true, the
contents must be placed in close proximity. If false, or this field does not exist, the
contents may be placed at the caller's discretion.
:vartype must_be_close_to_content: bool
"""
_validation = {
'target_property_name': {'readonly': True},
'type': {'required': True},
'must_be_close_to_content': {'readonly': True},
}
_attribute_map = {
'target_property_name': {'key': 'targetPropertyName', 'type': 'str'},
'type': {'key': '_type', 'type': 'str'},
'must_be_close_to_content': {'key': 'mustBeCloseToContent', 'type': 'bool'},
}
_subtype_map = {
'type': {'ContractualRules/LicenseAttribution': 'ContractualRulesLicenseAttribution', 'ContractualRules/LinkAttribution': 'ContractualRulesLinkAttribution', 'ContractualRules/MediaAttribution': 'ContractualRulesMediaAttribution', 'ContractualRules/TextAttribution': 'ContractualRulesTextAttribution'}
}
def __init__(
self,
**kwargs
):
super(ContractualRulesAttribution, self).__init__(**kwargs)
self.type = 'ContractualRules/Attribution' # type: str
self.must_be_close_to_content = None
class ContractualRulesLicenseAttribution(ContractualRulesAttribution):
"""Defines a contractual rule for license attribution.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:ivar target_property_name: The name of the field that the rule applies to.
:vartype target_property_name: str
:param type: Required. Constant filled by server.
:type type: str
:ivar must_be_close_to_content: A Boolean value that determines whether the contents of the
rule must be placed in close proximity to the field that the rule applies to. If true, the
contents must be placed in close proximity. If false, or this field does not exist, the
contents may be placed at the caller's discretion.
:vartype must_be_close_to_content: bool
:ivar license: The license under which the content may be used.
:vartype license: ~entity_search_client.models.CreativeWork
:ivar license_notice: The license to display next to the targeted field.
:vartype license_notice: str
"""
_validation = {
'target_property_name': {'readonly': True},
'type': {'required': True},
'must_be_close_to_content': {'readonly': True},
'license': {'readonly': True},
'license_notice': {'readonly': True},
}
_attribute_map = {
'target_property_name': {'key': 'targetPropertyName', 'type': 'str'},
'type': {'key': '_type', 'type': 'str'},
'must_be_close_to_content': {'key': 'mustBeCloseToContent', 'type': 'bool'},
'license': {'key': 'license', 'type': 'CreativeWork'},
'license_notice': {'key': 'licenseNotice', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(ContractualRulesLicenseAttribution, self).__init__(**kwargs)
self.type = 'ContractualRules/LicenseAttribution' # type: str
self.license = None
self.license_notice = None
class ContractualRulesLinkAttribution(ContractualRulesAttribution):
"""Defines a contractual rule for link attribution.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:ivar target_property_name: The name of the field that the rule applies to.
:vartype target_property_name: str
:param type: Required. Constant filled by server.
:type type: str
:ivar must_be_close_to_content: A Boolean value that determines whether the contents of the
rule must be placed in close proximity to the field that the rule applies to. If true, the
contents must be placed in close proximity. If false, or this field does not exist, the
contents may be placed at the caller's discretion.
:vartype must_be_close_to_content: bool
:param text: Required. The attribution text.
:type text: str
:param url: Required. The URL to the provider's website. Use text and URL to create the
hyperlink.
:type url: str
:ivar optional_for_list_display: Indicates whether this provider's attribution is optional.
:vartype optional_for_list_display: bool
"""
_validation = {
'target_property_name': {'readonly': True},
'type': {'required': True},
'must_be_close_to_content': {'readonly': True},
'text': {'required': True},
'url': {'required': True},
'optional_for_list_display': {'readonly': True},
}
_attribute_map = {
'target_property_name': {'key': 'targetPropertyName', 'type': 'str'},
'type': {'key': '_type', 'type': 'str'},
'must_be_close_to_content': {'key': 'mustBeCloseToContent', 'type': 'bool'},
'text': {'key': 'text', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'optional_for_list_display': {'key': 'optionalForListDisplay', 'type': 'bool'},
}
def __init__(
self,
**kwargs
):
super(ContractualRulesLinkAttribution, self).__init__(**kwargs)
self.type = 'ContractualRules/LinkAttribution' # type: str
self.text = kwargs['text']
self.url = kwargs['url']
self.optional_for_list_display = None
class ContractualRulesMediaAttribution(ContractualRulesAttribution):
"""Defines a contractual rule for media attribution.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:ivar target_property_name: The name of the field that the rule applies to.
:vartype target_property_name: str
:param type: Required. Constant filled by server.
:type type: str
:ivar must_be_close_to_content: A Boolean value that determines whether the contents of the
rule must be placed in close proximity to the field that the rule applies to. If true, the
contents must be placed in close proximity. If false, or this field does not exist, the
contents may be placed at the caller's discretion.
:vartype must_be_close_to_content: bool
:ivar url: The URL that you use to create of hyperlink of the media content. For example, if
the target is an image, you would use the URL to make the image clickable.
:vartype url: str
"""
_validation = {
'target_property_name': {'readonly': True},
'type': {'required': True},
'must_be_close_to_content': {'readonly': True},
'url': {'readonly': True},
}
_attribute_map = {
'target_property_name': {'key': 'targetPropertyName', 'type': 'str'},
'type': {'key': '_type', 'type': 'str'},
'must_be_close_to_content': {'key': 'mustBeCloseToContent', 'type': 'bool'},
'url': {'key': 'url', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(ContractualRulesMediaAttribution, self).__init__(**kwargs)
self.type = 'ContractualRules/MediaAttribution' # type: str
self.url = None
class ContractualRulesTextAttribution(ContractualRulesAttribution):
"""Defines a contractual rule for text attribution.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:ivar target_property_name: The name of the field that the rule applies to.
:vartype target_property_name: str
:param type: Required. Constant filled by server.
:type type: str
:ivar must_be_close_to_content: A Boolean value that determines whether the contents of the
rule must be placed in close proximity to the field that the rule applies to. If true, the
contents must be placed in close proximity. If false, or this field does not exist, the
contents may be placed at the caller's discretion.
:vartype must_be_close_to_content: bool
:param text: Required. The attribution text. Text attribution applies to the entity as a whole
and should be displayed immediately following the entity presentation. If there are multiple
text or link attribution rules that do not specify a target, you should concatenate them and
display them using a "Data from:" label.
:type text: str
:ivar optional_for_list_display: Indicates whether this provider's attribution is optional.
:vartype optional_for_list_display: bool
"""
_validation = {
'target_property_name': {'readonly': True},
'type': {'required': True},
'must_be_close_to_content': {'readonly': True},
'text': {'required': True},
'optional_for_list_display': {'readonly': True},
}
_attribute_map = {
'target_property_name': {'key': 'targetPropertyName', 'type': 'str'},
'type': {'key': '_type', 'type': 'str'},
'must_be_close_to_content': {'key': 'mustBeCloseToContent', 'type': 'bool'},
'text': {'key': 'text', 'type': 'str'},
'optional_for_list_display': {'key': 'optionalForListDisplay', 'type': 'bool'},
}
def __init__(
self,
**kwargs
):
super(ContractualRulesTextAttribution, self).__init__(**kwargs)
self.type = 'ContractualRules/TextAttribution' # type: str
self.text = kwargs['text']
self.optional_for_list_display = None
class CreativeWork(Thing):
"""CreativeWork.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar thumbnail_url: The URL to a thumbnail of the item.
:vartype thumbnail_url: str
:ivar provider: The source of the creative work.
:vartype provider: list[~entity_search_client.models.Thing]
:ivar text:
:vartype text: str
"""
_validation = {
'id': {'readonly': True},
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'thumbnail_url': {'readonly': True},
'provider': {'readonly': True},
'text': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'thumbnail_url': {'key': 'thumbnailUrl', 'type': 'str'},
'provider': {'key': 'provider', 'type': '[Thing]'},
'text': {'key': 'text', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(CreativeWork, self).__init__(**kwargs)
self.thumbnail_url = None
self.provider = None
self.text = None
class LocalBusiness(Place):
"""LocalBusiness.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
:ivar price_range: $$.
:vartype price_range: str
:ivar panoramas:
:vartype panoramas: list[~entity_search_client.models.ImageObject]
:ivar is_permanently_closed:
:vartype is_permanently_closed: bool
:ivar tag_line:
:vartype tag_line: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
'price_range': {'readonly': True},
'panoramas': {'readonly': True},
'is_permanently_closed': {'readonly': True},
'tag_line': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
'price_range': {'key': 'priceRange', 'type': 'str'},
'panoramas': {'key': 'panoramas', 'type': '[ImageObject]'},
'is_permanently_closed': {'key': 'isPermanentlyClosed', 'type': 'bool'},
'tag_line': {'key': 'tagLine', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(LocalBusiness, self).__init__(**kwargs)
self.price_range = None
self.panoramas = None
self.is_permanently_closed = None
self.tag_line = None
class EntertainmentBusiness(LocalBusiness):
"""EntertainmentBusiness.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
:ivar price_range: $$.
:vartype price_range: str
:ivar panoramas:
:vartype panoramas: list[~entity_search_client.models.ImageObject]
:ivar is_permanently_closed:
:vartype is_permanently_closed: bool
:ivar tag_line:
:vartype tag_line: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
'price_range': {'readonly': True},
'panoramas': {'readonly': True},
'is_permanently_closed': {'readonly': True},
'tag_line': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
'price_range': {'key': 'priceRange', 'type': 'str'},
'panoramas': {'key': 'panoramas', 'type': '[ImageObject]'},
'is_permanently_closed': {'key': 'isPermanentlyClosed', 'type': 'bool'},
'tag_line': {'key': 'tagLine', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(EntertainmentBusiness, self).__init__(**kwargs)
class SearchResultsAnswer(Response):
"""SearchResultsAnswer.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar query_context: Defines the query context that Bing used for the request.
:vartype query_context: ~entity_search_client.models.QueryContext
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'query_context': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'query_context': {'key': 'queryContext', 'type': 'QueryContext'},
}
def __init__(
self,
**kwargs
):
super(SearchResultsAnswer, self).__init__(**kwargs)
self.query_context = None
class Entities(SearchResultsAnswer):
"""Defines an entity answer.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar query_context: Defines the query context that Bing used for the request.
:vartype query_context: ~entity_search_client.models.QueryContext
:ivar query_scenario: The supported query scenario. This field is set to DominantEntity or
DisambiguationItem. The field is set to DominantEntity if Bing determines that only a single
entity satisfies the request. For example, a book, movie, person, or attraction. If multiple
entities could satisfy the request, the field is set to DisambiguationItem. For example, if the
request uses the generic title of a movie franchise, the entity's type would likely be
DisambiguationItem. But, if the request specifies a specific title from the franchise, the
entity's type would likely be DominantEntity. Possible values include: "DominantEntity",
"DominantEntityWithDisambiguation", "Disambiguation", "List", "ListWithPivot".
:vartype query_scenario: str or ~entity_search_client.models.EntityQueryScenario
:param value: Required. A list of entities.
:type value: list[~entity_search_client.models.Thing]
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'query_context': {'readonly': True},
'query_scenario': {'readonly': True},
'value': {'required': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'query_context': {'key': 'queryContext', 'type': 'QueryContext'},
'query_scenario': {'key': 'queryScenario', 'type': 'str'},
'value': {'key': 'value', 'type': '[Thing]'},
}
def __init__(
self,
**kwargs
):
super(Entities, self).__init__(**kwargs)
self.query_scenario = None
self.value = kwargs['value']
class EntitiesEntityPresentationInfo(msrest.serialization.Model):
"""Defines additional information about an entity such as type hints.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:param entity_scenario: Required. The supported scenario. Possible values include:
"DominantEntity", "DisambiguationItem", "ListItem". Default value: "DominantEntity".
:type entity_scenario: str or ~entity_search_client.models.EntityScenario
:ivar entity_type_hints: A list of hints that indicate the entity's type. The list could
contain a single hint such as Movie or a list of hints such as Place, LocalBusiness,
Restaurant. Each successive hint in the array narrows the entity's type.
:vartype entity_type_hints: list[str or ~entity_search_client.models.EntityType]
:ivar entity_type_display_hint: A display version of the entity hint. For example, if
entityTypeHints is Artist, this field may be set to American Singer.
:vartype entity_type_display_hint: str
"""
_validation = {
'entity_scenario': {'required': True},
'entity_type_hints': {'readonly': True},
'entity_type_display_hint': {'readonly': True},
}
_attribute_map = {
'entity_scenario': {'key': 'entityScenario', 'type': 'str'},
'entity_type_hints': {'key': 'entityTypeHints', 'type': '[str]'},
'entity_type_display_hint': {'key': 'entityTypeDisplayHint', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(EntitiesEntityPresentationInfo, self).__init__(**kwargs)
self.entity_scenario = kwargs.get('entity_scenario', "DominantEntity")
self.entity_type_hints = None
self.entity_type_display_hint = None
class Error(msrest.serialization.Model):
"""Defines the error that occurred.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:param code: Required. The error code that identifies the category of error. Possible values
include: "None", "ServerError", "InvalidRequest", "RateLimitExceeded", "InvalidAuthorization",
"InsufficientAuthorization". Default value: "None".
:type code: str or ~entity_search_client.models.ErrorCode
:ivar sub_code: The error code that further helps to identify the error. Possible values
include: "UnexpectedError", "ResourceError", "NotImplemented", "ParameterMissing",
"ParameterInvalidValue", "HttpNotAllowed", "Blocked", "AuthorizationMissing",
"AuthorizationRedundancy", "AuthorizationDisabled", "AuthorizationExpired".
:vartype sub_code: str or ~entity_search_client.models.ErrorSubCode
:param message: Required. A description of the error.
:type message: str
:ivar more_details: A description that provides additional information about the error.
:vartype more_details: str
:ivar parameter: The parameter in the request that caused the error.
:vartype parameter: str
:ivar value: The parameter's value in the request that was not valid.
:vartype value: str
"""
_validation = {
'code': {'required': True},
'sub_code': {'readonly': True},
'message': {'required': True},
'more_details': {'readonly': True},
'parameter': {'readonly': True},
'value': {'readonly': True},
}
_attribute_map = {
'code': {'key': 'code', 'type': 'str'},
'sub_code': {'key': 'subCode', 'type': 'str'},
'message': {'key': 'message', 'type': 'str'},
'more_details': {'key': 'moreDetails', 'type': 'str'},
'parameter': {'key': 'parameter', 'type': 'str'},
'value': {'key': 'value', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(Error, self).__init__(**kwargs)
self.code = kwargs.get('code', "None")
self.sub_code = None
self.message = kwargs['message']
self.more_details = None
self.parameter = None
self.value = None
class ErrorResponse(Response):
"""The top-level response that represents a failed request.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:param errors: Required. A list of errors that describe the reasons why the request failed.
:type errors: list[~entity_search_client.models.Error]
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'errors': {'required': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'errors': {'key': 'errors', 'type': '[Error]'},
}
def __init__(
self,
**kwargs
):
super(ErrorResponse, self).__init__(**kwargs)
self.errors = kwargs['errors']
class FoodEstablishment(LocalBusiness):
"""FoodEstablishment.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
:ivar price_range: $$.
:vartype price_range: str
:ivar panoramas:
:vartype panoramas: list[~entity_search_client.models.ImageObject]
:ivar is_permanently_closed:
:vartype is_permanently_closed: bool
:ivar tag_line:
:vartype tag_line: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
'price_range': {'readonly': True},
'panoramas': {'readonly': True},
'is_permanently_closed': {'readonly': True},
'tag_line': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
'price_range': {'key': 'priceRange', 'type': 'str'},
'panoramas': {'key': 'panoramas', 'type': '[ImageObject]'},
'is_permanently_closed': {'key': 'isPermanentlyClosed', 'type': 'bool'},
'tag_line': {'key': 'tagLine', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(FoodEstablishment, self).__init__(**kwargs)
class Hotel(LocalBusiness):
"""Hotel.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
:ivar price_range: $$.
:vartype price_range: str
:ivar panoramas:
:vartype panoramas: list[~entity_search_client.models.ImageObject]
:ivar is_permanently_closed:
:vartype is_permanently_closed: bool
:ivar tag_line:
:vartype tag_line: str
:ivar hotel_class:
:vartype hotel_class: str
:ivar amenities:
:vartype amenities: list[str]
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
'price_range': {'readonly': True},
'panoramas': {'readonly': True},
'is_permanently_closed': {'readonly': True},
'tag_line': {'readonly': True},
'hotel_class': {'readonly': True},
'amenities': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
'price_range': {'key': 'priceRange', 'type': 'str'},
'panoramas': {'key': 'panoramas', 'type': '[ImageObject]'},
'is_permanently_closed': {'key': 'isPermanentlyClosed', 'type': 'bool'},
'tag_line': {'key': 'tagLine', 'type': 'str'},
'hotel_class': {'key': 'hotelClass', 'type': 'str'},
'amenities': {'key': 'amenities', 'type': '[str]'},
}
def __init__(
self,
**kwargs
):
super(Hotel, self).__init__(**kwargs)
self.hotel_class = None
self.amenities = None
class MediaObject(CreativeWork):
"""MediaObject.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar thumbnail_url: The URL to a thumbnail of the item.
:vartype thumbnail_url: str
:ivar provider: The source of the creative work.
:vartype provider: list[~entity_search_client.models.Thing]
:ivar text:
:vartype text: str
:ivar content_url: Original URL to retrieve the source (file) for the media object (e.g the
source URL for the image).
:vartype content_url: str
:ivar host_page_url: URL of the page that hosts the media object.
:vartype host_page_url: str
:ivar width: The width of the source media object, in pixels.
:vartype width: int
:ivar height: The height of the source media object, in pixels.
:vartype height: int
"""
_validation = {
'id': {'readonly': True},
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'thumbnail_url': {'readonly': True},
'provider': {'readonly': True},
'text': {'readonly': True},
'content_url': {'readonly': True},
'host_page_url': {'readonly': True},
'width': {'readonly': True},
'height': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'thumbnail_url': {'key': 'thumbnailUrl', 'type': 'str'},
'provider': {'key': 'provider', 'type': '[Thing]'},
'text': {'key': 'text', 'type': 'str'},
'content_url': {'key': 'contentUrl', 'type': 'str'},
'host_page_url': {'key': 'hostPageUrl', 'type': 'str'},
'width': {'key': 'width', 'type': 'int'},
'height': {'key': 'height', 'type': 'int'},
}
def __init__(
self,
**kwargs
):
super(MediaObject, self).__init__(**kwargs)
self.content_url = None
self.host_page_url = None
self.width = None
self.height = None
class ImageObject(MediaObject):
"""Defines an image.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar thumbnail_url: The URL to a thumbnail of the item.
:vartype thumbnail_url: str
:ivar provider: The source of the creative work.
:vartype provider: list[~entity_search_client.models.Thing]
:ivar text:
:vartype text: str
:ivar content_url: Original URL to retrieve the source (file) for the media object (e.g the
source URL for the image).
:vartype content_url: str
:ivar host_page_url: URL of the page that hosts the media object.
:vartype host_page_url: str
:ivar width: The width of the source media object, in pixels.
:vartype width: int
:ivar height: The height of the source media object, in pixels.
:vartype height: int
:ivar thumbnail: The URL to a thumbnail of the image.
:vartype thumbnail: ~entity_search_client.models.ImageObject
"""
_validation = {
'id': {'readonly': True},
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'thumbnail_url': {'readonly': True},
'provider': {'readonly': True},
'text': {'readonly': True},
'content_url': {'readonly': True},
'host_page_url': {'readonly': True},
'width': {'readonly': True},
'height': {'readonly': True},
'thumbnail': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'thumbnail_url': {'key': 'thumbnailUrl', 'type': 'str'},
'provider': {'key': 'provider', 'type': '[Thing]'},
'text': {'key': 'text', 'type': 'str'},
'content_url': {'key': 'contentUrl', 'type': 'str'},
'host_page_url': {'key': 'hostPageUrl', 'type': 'str'},
'width': {'key': 'width', 'type': 'int'},
'height': {'key': 'height', 'type': 'int'},
'thumbnail': {'key': 'thumbnail', 'type': 'ImageObject'},
}
def __init__(
self,
**kwargs
):
super(ImageObject, self).__init__(**kwargs)
self.thumbnail = None
class Intangible(Thing):
"""Intangible.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(Intangible, self).__init__(**kwargs)
class License(CreativeWork):
"""Defines the license under which the text or photo may be used.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar thumbnail_url: The URL to a thumbnail of the item.
:vartype thumbnail_url: str
:ivar provider: The source of the creative work.
:vartype provider: list[~entity_search_client.models.Thing]
:ivar text:
:vartype text: str
"""
_validation = {
'id': {'readonly': True},
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'thumbnail_url': {'readonly': True},
'provider': {'readonly': True},
'text': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'thumbnail_url': {'key': 'thumbnailUrl', 'type': 'str'},
'provider': {'key': 'provider', 'type': '[Thing]'},
'text': {'key': 'text', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(License, self).__init__(**kwargs)
class LodgingBusiness(LocalBusiness):
"""LodgingBusiness.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
:ivar price_range: $$.
:vartype price_range: str
:ivar panoramas:
:vartype panoramas: list[~entity_search_client.models.ImageObject]
:ivar is_permanently_closed:
:vartype is_permanently_closed: bool
:ivar tag_line:
:vartype tag_line: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
'price_range': {'readonly': True},
'panoramas': {'readonly': True},
'is_permanently_closed': {'readonly': True},
'tag_line': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
'price_range': {'key': 'priceRange', 'type': 'str'},
'panoramas': {'key': 'panoramas', 'type': '[ImageObject]'},
'is_permanently_closed': {'key': 'isPermanentlyClosed', 'type': 'bool'},
'tag_line': {'key': 'tagLine', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(LodgingBusiness, self).__init__(**kwargs)
class MovieTheater(LocalBusiness):
"""MovieTheater.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
:ivar price_range: $$.
:vartype price_range: str
:ivar panoramas:
:vartype panoramas: list[~entity_search_client.models.ImageObject]
:ivar is_permanently_closed:
:vartype is_permanently_closed: bool
:ivar tag_line:
:vartype tag_line: str
:ivar screen_count:
:vartype screen_count: int
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
'price_range': {'readonly': True},
'panoramas': {'readonly': True},
'is_permanently_closed': {'readonly': True},
'tag_line': {'readonly': True},
'screen_count': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
'price_range': {'key': 'priceRange', 'type': 'str'},
'panoramas': {'key': 'panoramas', 'type': '[ImageObject]'},
'is_permanently_closed': {'key': 'isPermanentlyClosed', 'type': 'bool'},
'tag_line': {'key': 'tagLine', 'type': 'str'},
'screen_count': {'key': 'screenCount', 'type': 'int'},
}
def __init__(
self,
**kwargs
):
super(MovieTheater, self).__init__(**kwargs)
self.screen_count = None
class Organization(Thing):
"""Defines an organization.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(Organization, self).__init__(**kwargs)
class Places(SearchResultsAnswer):
"""Defines a local entity answer.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar query_context: Defines the query context that Bing used for the request.
:vartype query_context: ~entity_search_client.models.QueryContext
:param value: Required. A list of local entities, such as restaurants or hotels.
:type value: list[~entity_search_client.models.Thing]
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'query_context': {'readonly': True},
'value': {'required': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'query_context': {'key': 'queryContext', 'type': 'QueryContext'},
'value': {'key': 'value', 'type': '[Thing]'},
}
def __init__(
self,
**kwargs
):
super(Places, self).__init__(**kwargs)
self.value = kwargs['value']
class PostalAddress(Intangible):
"""Defines a postal address.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar street_address:
:vartype street_address: str
:ivar address_locality: The city where the street address is located. For example, Seattle.
:vartype address_locality: str
:ivar address_subregion:
:vartype address_subregion: str
:ivar address_region: The state or province code where the street address is located. This
could be the two-letter code. For example, WA, or the full name , Washington.
:vartype address_region: str
:ivar postal_code: The zip code or postal code where the street address is located. For
example, 98052.
:vartype postal_code: str
:ivar post_office_box_number:
:vartype post_office_box_number: str
:ivar address_country: The country/region where the street address is located. This could be
the two-letter ISO code. For example, US, or the full name, United States.
:vartype address_country: str
:ivar country_iso: The two letter ISO code of this country. For example, US.
:vartype country_iso: str
:ivar neighborhood: The neighborhood where the street address is located. For example,
Westlake.
:vartype neighborhood: str
:ivar address_region_abbreviation: Region Abbreviation. For example, WA.
:vartype address_region_abbreviation: str
:ivar text: The complete address. For example, 2100 Westlake Ave N, Bellevue, WA 98052.
:vartype text: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'street_address': {'readonly': True},
'address_locality': {'readonly': True},
'address_subregion': {'readonly': True},
'address_region': {'readonly': True},
'postal_code': {'readonly': True},
'post_office_box_number': {'readonly': True},
'address_country': {'readonly': True},
'country_iso': {'readonly': True},
'neighborhood': {'readonly': True},
'address_region_abbreviation': {'readonly': True},
'text': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'street_address': {'key': 'streetAddress', 'type': 'str'},
'address_locality': {'key': 'addressLocality', 'type': 'str'},
'address_subregion': {'key': 'addressSubregion', 'type': 'str'},
'address_region': {'key': 'addressRegion', 'type': 'str'},
'postal_code': {'key': 'postalCode', 'type': 'str'},
'post_office_box_number': {'key': 'postOfficeBoxNumber', 'type': 'str'},
'address_country': {'key': 'addressCountry', 'type': 'str'},
'country_iso': {'key': 'countryIso', 'type': 'str'},
'neighborhood': {'key': 'neighborhood', 'type': 'str'},
'address_region_abbreviation': {'key': 'addressRegionAbbreviation', 'type': 'str'},
'text': {'key': 'text', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(PostalAddress, self).__init__(**kwargs)
self.street_address = None
self.address_locality = None
self.address_subregion = None
self.address_region = None
self.postal_code = None
self.post_office_box_number = None
self.address_country = None
self.country_iso = None
self.neighborhood = None
self.address_region_abbreviation = None
self.text = None
class QueryContext(msrest.serialization.Model):
"""Defines the query context that Bing used for the request.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
:param original_query: Required. The query string as specified in the request.
:type original_query: str
:ivar altered_query: The query string used by Bing to perform the query. Bing uses the altered
query string if the original query string contained spelling mistakes. For example, if the
query string is "saling downwind", the altered query string will be "sailing downwind". This
field is included only if the original query string contains a spelling mistake.
:vartype altered_query: str
:ivar alteration_override_query: The query string to use to force Bing to use the original
string. For example, if the query string is "saling downwind", the override query string will
be "+saling downwind". Remember to encode the query string which results in
"%2Bsaling+downwind". This field is included only if the original query string contains a
spelling mistake.
:vartype alteration_override_query: str
:ivar adult_intent: A Boolean value that indicates whether the specified query has adult
intent. The value is true if the query has adult intent; otherwise, false.
:vartype adult_intent: bool
:ivar ask_user_for_location: A Boolean value that indicates whether Bing requires the user's
location to provide accurate results. If you specified the user's location by using the
X-MSEdge-ClientIP and X-Search-Location headers, you can ignore this field. For location aware
queries, such as "today's weather" or "restaurants near me" that need the user's location to
provide accurate results, this field is set to true. For location aware queries that include
the location (for example, "Seattle weather"), this field is set to false. This field is also
set to false for queries that are not location aware, such as "best sellers".
:vartype ask_user_for_location: bool
"""
_validation = {
'original_query': {'required': True},
'altered_query': {'readonly': True},
'alteration_override_query': {'readonly': True},
'adult_intent': {'readonly': True},
'ask_user_for_location': {'readonly': True},
}
_attribute_map = {
'original_query': {'key': 'originalQuery', 'type': 'str'},
'altered_query': {'key': 'alteredQuery', 'type': 'str'},
'alteration_override_query': {'key': 'alterationOverrideQuery', 'type': 'str'},
'adult_intent': {'key': 'adultIntent', 'type': 'bool'},
'ask_user_for_location': {'key': 'askUserForLocation', 'type': 'bool'},
}
def __init__(
self,
**kwargs
):
super(QueryContext, self).__init__(**kwargs)
self.original_query = kwargs['original_query']
self.altered_query = None
self.alteration_override_query = None
self.adult_intent = None
self.ask_user_for_location = None
class Restaurant(LocalBusiness):
"""Restaurant.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
:ivar price_range: $$.
:vartype price_range: str
:ivar panoramas:
:vartype panoramas: list[~entity_search_client.models.ImageObject]
:ivar is_permanently_closed:
:vartype is_permanently_closed: bool
:ivar tag_line:
:vartype tag_line: str
:ivar accepts_reservations:
:vartype accepts_reservations: bool
:ivar reservation_url:
:vartype reservation_url: str
:ivar serves_cuisine:
:vartype serves_cuisine: list[str]
:ivar menu_url:
:vartype menu_url: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
'price_range': {'readonly': True},
'panoramas': {'readonly': True},
'is_permanently_closed': {'readonly': True},
'tag_line': {'readonly': True},
'accepts_reservations': {'readonly': True},
'reservation_url': {'readonly': True},
'serves_cuisine': {'readonly': True},
'menu_url': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
'price_range': {'key': 'priceRange', 'type': 'str'},
'panoramas': {'key': 'panoramas', 'type': '[ImageObject]'},
'is_permanently_closed': {'key': 'isPermanentlyClosed', 'type': 'bool'},
'tag_line': {'key': 'tagLine', 'type': 'str'},
'accepts_reservations': {'key': 'acceptsReservations', 'type': 'bool'},
'reservation_url': {'key': 'reservationUrl', 'type': 'str'},
'serves_cuisine': {'key': 'servesCuisine', 'type': '[str]'},
'menu_url': {'key': 'menuUrl', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(Restaurant, self).__init__(**kwargs)
self.accepts_reservations = None
self.reservation_url = None
self.serves_cuisine = None
self.menu_url = None
class SearchResponse(Response):
"""Defines the top-level object that the response includes when the request succeeds.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar query_context: An object that contains the query string that Bing used for the request.
This object contains the query string as entered by the user. It may also contain an altered
query string that Bing used for the query if the query string contained a spelling mistake.
:vartype query_context: ~entity_search_client.models.QueryContext
:ivar entities: A list of entities that are relevant to the search query.
:vartype entities: ~entity_search_client.models.Entities
:ivar places: A list of local entities such as restaurants or hotels that are relevant to the
query.
:vartype places: ~entity_search_client.models.Places
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'query_context': {'readonly': True},
'entities': {'readonly': True},
'places': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'query_context': {'key': 'queryContext', 'type': 'QueryContext'},
'entities': {'key': 'entities', 'type': 'Entities'},
'places': {'key': 'places', 'type': 'Places'},
}
def __init__(
self,
**kwargs
):
super(SearchResponse, self).__init__(**kwargs)
self.query_context = None
self.entities = None
self.places = None
class StructuredValue(Thing):
"""StructuredValue.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(StructuredValue, self).__init__(**kwargs)
class TouristAttraction(Place):
"""TouristAttraction.
Variables are only populated by the server, and will be ignored when sending a request.
:param type:
:type type: str
:ivar id: A String identifier.
:vartype id: str
:ivar contractual_rules: A list of rules that you must adhere to if you display the item.
:vartype contractual_rules: list[~entity_search_client.models.ContractualRulesContractualRule]
:ivar web_search_url: The URL To Bing's search result for this item.
:vartype web_search_url: str
:ivar name: The name of the thing represented by this object.
:vartype name: str
:ivar url: The URL to get more information about the thing represented by this object.
:vartype url: str
:ivar image: Defines an image.
:vartype image: ~entity_search_client.models.ImageObject
:ivar description: A short description of the item.
:vartype description: str
:ivar entity_presentation_info: Additional information about the entity such as hints that you
can use to determine the entity's type. To determine the entity's type, use the entityScenario
and entityTypeHint fields.
:vartype entity_presentation_info: ~entity_search_client.models.EntitiesEntityPresentationInfo
:ivar bing_id: An ID that uniquely identifies this item.
:vartype bing_id: str
:ivar address: The postal address of where the entity is located.
:vartype address: ~entity_search_client.models.PostalAddress
:ivar telephone: The entity's telephone number.
:vartype telephone: str
"""
_validation = {
'id': {'readonly': True},
'contractual_rules': {'readonly': True},
'web_search_url': {'readonly': True},
'name': {'readonly': True},
'url': {'readonly': True},
'image': {'readonly': True},
'description': {'readonly': True},
'entity_presentation_info': {'readonly': True},
'bing_id': {'readonly': True},
'address': {'readonly': True},
'telephone': {'readonly': True},
}
_attribute_map = {
'type': {'key': '_type', 'type': 'str'},
'id': {'key': 'id', 'type': 'str'},
'contractual_rules': {'key': 'contractualRules', 'type': '[ContractualRulesContractualRule]'},
'web_search_url': {'key': 'webSearchUrl', 'type': 'str'},
'name': {'key': 'name', 'type': 'str'},
'url': {'key': 'url', 'type': 'str'},
'image': {'key': 'image', 'type': 'ImageObject'},
'description': {'key': 'description', 'type': 'str'},
'entity_presentation_info': {'key': 'entityPresentationInfo', 'type': 'EntitiesEntityPresentationInfo'},
'bing_id': {'key': 'bingId', 'type': 'str'},
'address': {'key': 'address', 'type': 'PostalAddress'},
'telephone': {'key': 'telephone', 'type': 'str'},
}
def __init__(
self,
**kwargs
):
super(TouristAttraction, self).__init__(**kwargs)
| 41.795215
| 308
| 0.641767
| 11,881
| 103,067
| 5.417978
| 0.040485
| 0.061518
| 0.02032
| 0.039148
| 0.815709
| 0.804198
| 0.795125
| 0.782713
| 0.778487
| 0.777509
| 0
| 0.000275
| 0.222477
| 103,067
| 2,465
| 309
| 41.81217
| 0.802987
| 0.470995
| 0
| 0.741827
| 1
| 0
| 0.390478
| 0.086172
| 0
| 0
| 0
| 0
| 0
| 1
| 0.031852
| false
| 0
| 0.001676
| 0
| 0.129925
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
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| null | 0
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| 0
| 0
|
0
| 8
|
5a395d24ad81d286ba1d1fb526b3d85d3101b8fb
| 3,079
|
py
|
Python
|
crl_kino/estimator/network.py
|
sldai/MPNet_RL
|
bb27caae17b6c52b26400bb7697e0d6f07191c34
|
[
"MIT"
] | 10
|
2020-07-29T01:27:39.000Z
|
2022-03-13T23:03:48.000Z
|
crl_kino/estimator/network.py
|
sldai/MPNet_RL
|
bb27caae17b6c52b26400bb7697e0d6f07191c34
|
[
"MIT"
] | null | null | null |
crl_kino/estimator/network.py
|
sldai/MPNet_RL
|
bb27caae17b6c52b26400bb7697e0d6f07191c34
|
[
"MIT"
] | 1
|
2020-07-30T06:36:42.000Z
|
2020-07-30T06:36:42.000Z
|
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision
import os
import torch
import numpy as np
class EstimatorModel(nn.Module):
def __init__(self):
super(EstimatorModel, self).__init__()
"""
self.linear1 = nn.Linear(in_dim, 500)
self.linear2 = nn.Linear(500, 200)
self.linear3 = nn.Linear(200, 100)
self.linear4 = nn.Linear(100, 1)
self.tanh = nn.Tanh()
"""
self.linear = nn.Linear(67, 1)
self.relu = nn.ReLU()
#self.dropout = nn.Dropout(0.5)
self.conv1 = nn.Conv2d(1, 8, 3, padding=1)
self.conv2 = nn.Conv2d(8, 16, 3, padding=1)
self.conv3 = nn.Conv2d(16, 32, 3, padding=1)
self.conv4 = nn.Conv2d(32, 64, 3, padding=1)
self.avgpool = nn.AdaptiveAvgPool2d((1, 1))
self.maxpool = nn.MaxPool2d(2)
self.sigmoid = nn.Sigmoid()
def forward(self, x, ext):
x = self.conv1(x)
x = self.relu(x)
x = self.maxpool(x)
#(8, 14, 14)
x = self.conv2(x)
x = self.relu(x)
x = self.maxpool(x)
#(16, 7, 7)
x = self.conv3(x)
x = self.relu(x)
x = self.maxpool(x)
#(32, 4, 4)
x = self.conv4(x)
x = self.relu(x)
x = self.avgpool(x)
#(64, 1, 1)
x = torch.flatten(x, 1)
x = torch.cat([x, ext], 1)
y = self.linear(x)
#y = self.sigmoid(y)
return y
class ClassifierModel(nn.Module):
def __init__(self):
super(ClassifierModel, self).__init__()
"""
self.linear1 = nn.Linear(in_dim, 500)
self.linear2 = nn.Linear(500, 200)
self.linear3 = nn.Linear(200, 100)
self.linear4 = nn.Linear(100, 1)
self.tanh = nn.Tanh()
"""
self.linear = nn.Linear(67, 1)
self.relu = nn.ReLU()
#self.dropout = nn.Dropout(0.5)
self.conv1 = nn.Conv2d(1, 8, 3, padding=1)
self.conv2 = nn.Conv2d(8, 16, 3, padding=1)
self.conv3 = nn.Conv2d(16, 32, 3, padding=1)
self.conv4 = nn.Conv2d(32, 64, 3, padding=1)
self.avgpool = nn.AdaptiveAvgPool2d((1, 1))
self.maxpool = nn.MaxPool2d(2)
self.sigmoid = nn.Sigmoid()
def forward(self, x, ext):
x = self.conv1(x)
x = self.relu(x)
x = self.maxpool(x)
#(8, 14, 14)
x = self.conv2(x)
x = self.relu(x)
x = self.maxpool(x)
#(16, 7, 7)
x = self.conv3(x)
x = self.relu(x)
x = self.maxpool(x)
#(32, 4, 4)
x = self.conv4(x)
x = self.relu(x)
x = self.avgpool(x)
#(64, 1, 1)
x = torch.flatten(x, 1)
x = torch.cat([x, ext], 1)
y = self.linear(x)
y = self.sigmoid(y)
return y
| 24.244094
| 52
| 0.476778
| 414
| 3,079
| 3.502415
| 0.152174
| 0.082759
| 0.066207
| 0.071724
| 0.864828
| 0.864828
| 0.831724
| 0.831724
| 0.831724
| 0.831724
| 0
| 0.089427
| 0.382592
| 3,079
| 127
| 53
| 24.244094
| 0.67333
| 0.05229
| 0
| 0.835821
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.059701
| false
| 0
| 0.119403
| 0
| 0.238806
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
ce7e70ccb19fe0643c9d1a651e6e227102d45357
| 413
|
py
|
Python
|
fluent_blogs/views/__init__.py
|
klavman/django-fluent-blogs
|
e78e30edb3540bfe5e2e29b0754c47495270d524
|
[
"Apache-2.0"
] | 1
|
2021-07-07T00:14:23.000Z
|
2021-07-07T00:14:23.000Z
|
fluent_blogs/views/__init__.py
|
klavman/django-fluent-blogs
|
e78e30edb3540bfe5e2e29b0754c47495270d524
|
[
"Apache-2.0"
] | null | null | null |
fluent_blogs/views/__init__.py
|
klavman/django-fluent-blogs
|
e78e30edb3540bfe5e2e29b0754c47495270d524
|
[
"Apache-2.0"
] | null | null | null |
from fluent_blogs.views.entries import (
EntryArchiveIndex, EntryYearArchive, EntryMonthArchive, EntryDayArchive,
EntryDetail, EntryShortLink, EntryCategoryArchive, EntryAuthorArchive, EntryTagArchive
)
__all__ = (
'EntryArchiveIndex', 'EntryYearArchive', 'EntryMonthArchive', 'EntryDayArchive',
'EntryDetail', 'EntryShortLink', 'EntryCategoryArchive', 'EntryAuthorArchive', 'EntryTagArchive',
)
| 41.3
| 101
| 0.791768
| 25
| 413
| 12.88
| 0.64
| 0.204969
| 0.310559
| 0.403727
| 0.888199
| 0.888199
| 0.888199
| 0.888199
| 0.888199
| 0
| 0
| 0
| 0.106538
| 413
| 9
| 102
| 45.888889
| 0.872629
| 0
| 0
| 0
| 0
| 0
| 0.346247
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0
| 1
| 0
| 1
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
cea1ea5930162066c16967754054252c31f2ab27
| 198
|
py
|
Python
|
src/dataset/__init__.py
|
FHellmann/Deformable_Dilated_Faster-RCNN
|
53e7ddcd6b3b8c7c38451cf08529d2792494c658
|
[
"MIT"
] | 1
|
2021-10-09T03:05:16.000Z
|
2021-10-09T03:05:16.000Z
|
src/dataset/__init__.py
|
FHellmann/Deformable_Dilated_Faster-RCNN
|
53e7ddcd6b3b8c7c38451cf08529d2792494c658
|
[
"MIT"
] | null | null | null |
src/dataset/__init__.py
|
FHellmann/Deformable_Dilated_Faster-RCNN
|
53e7ddcd6b3b8c7c38451cf08529d2792494c658
|
[
"MIT"
] | 2
|
2021-03-02T12:06:14.000Z
|
2021-11-20T16:02:43.000Z
|
from src.dataset.deep_lesion_dataset import DatasetType, DeepLesionDataset
from src.dataset.deep_lesion_downloader import download_zips
from src.dataset.deep_lesion_extractor import extract_dataset
| 49.5
| 74
| 0.89899
| 27
| 198
| 6.296296
| 0.481481
| 0.123529
| 0.247059
| 0.317647
| 0.423529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065657
| 198
| 3
| 75
| 66
| 0.918919
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
ced95d318a4d92d10862c158b4c34b39d1dfb185
| 6,762
|
py
|
Python
|
aevnmt/trainers.py
|
nbortych/AEVNMT.pt
|
360a885a3bab9212a67922f3a9bb44f26c9512fc
|
[
"MIT"
] | 8
|
2019-08-06T09:49:56.000Z
|
2021-12-22T13:46:34.000Z
|
aevnmt/trainers.py
|
nbortych/AEVNMT.pt
|
360a885a3bab9212a67922f3a9bb44f26c9512fc
|
[
"MIT"
] | 18
|
2019-09-11T10:39:27.000Z
|
2021-02-12T10:33:09.000Z
|
aevnmt/trainers.py
|
nbortych/AEVNMT.pt
|
360a885a3bab9212a67922f3a9bb44f26c9512fc
|
[
"MIT"
] | 8
|
2019-08-26T06:07:27.000Z
|
2021-01-28T07:01:21.000Z
|
import torch
from torch.distributions import Categorical
from aevnmt.dist import get_named_params
class AEVNMTTrainer:
def __init__(self, model, loss, histogram_every=100):
self.model = model
self.loss = loss
self.histogram_every = histogram_every
def _repeat_over_samples(self, tensor, num_samples, flatten=True):
"""
Repeats given tensor with shape [B, ...] over num_samples, the resulting shape is:
[num_samples * B, ...] if flatten,
[num_samples, B, ...] otherwise.
A flattened tensor can be unflattened with self._unflatten_samples.
"""
if tensor is not None:
tensor_exp = tensor.unsqueeze(0).repeat(num_samples, *[1]*len(tensor.shape))
if flatten:
tensor_exp = self._flatten_samples(tensor_exp)
return tensor_exp
def _flatten_samples(self, tensor):
"""[num_samples, B, ...] -> [num_samples * B, ...]"""
if tensor is not None:
return tensor.view(tensor.shape[0] * tensor.shape[1], *tensor.shape[2:])
def _unflatten_samples(self, tensor, num_samples):
if tensor is not None:
return tensor.view(num_samples, -1, *tensor.shape[1:])
def step(self, x_in, x_out, seq_mask_x, seq_len_x, noisy_x_in, y_in, y_out,
seq_mask_y, seq_len_y, noisy_y_in, step, summary_writer=None):
q_z = self.model.approximate_posterior(x_in, seq_mask_x, seq_len_x, y_in, seq_mask_y, seq_len_y)
p_z = self.model.prior()
if self.loss.num_samples == 1:
z = q_z.rsample()
else:
z = q_z.rsample([self.loss.num_samples])
z = self._flatten_samples(z) # [K * B, ...]
# Expand required inputs to [K * B, ...]
noisy_x_in = self._repeat_over_samples(noisy_x_in, self.loss.num_samples, flatten=True)
noisy_y_in = self._repeat_over_samples(noisy_y_in, self.loss.num_samples, flatten=True)
seq_mask_x = self._repeat_over_samples(seq_mask_x, self.loss.num_samples, flatten=True)
seq_len_x = self._repeat_over_samples(seq_len_x, self.loss.num_samples, flatten=True)
# Expand targets
x_out = self._repeat_over_samples(x_out, self.loss.num_samples, flatten=True)
y_out = self._repeat_over_samples(y_out, self.loss.num_samples, flatten=True)
# TODO aux likelihoods are not used in the new Loss functions.
tm_likelihood, lm_likelihood, _, _, _ = self.model(noisy_x_in, seq_mask_x, seq_len_x, noisy_y_in, z)
loss_dict = self.loss(tm_likelihood, lm_likelihood, y_out, x_out, q_z, p_z, z, step, self.model, reduction='mean')
if summary_writer and step % self.histogram_every == 0:
# generate histograms for the posterior and prior
summary_writer.add_histogram("posterior/z", z, step)
for param_name, param_value in get_named_params(q_z):
summary_writer.add_histogram("posterior/%s" % param_name, param_value, step)
prior_sample = p_z.sample(torch.Size([z.size(0)]))
summary_writer.add_histogram("prior/z", prior_sample, step)
for param_name, param_value in get_named_params(p_z):
summary_writer.add_histogram("prior/%s" % param_name, param_value, step)
return loss_dict
class SenVAETrainer:
def __init__(self, model, loss, histogram_every=100):
self.model = model
self.loss = loss
self.histogram_every = histogram_every
def _repeat_over_samples(self, tensor, num_samples, flatten=True):
"""
Repeats given tensor with shape [B, ...] over num_samples, the resulting shape is:
[num_samples * B, ...] if flatten,
[num_samples, B, ...] otherwise.
A flattened tensor can be unflattened with self._unflatten_samples.
"""
if tensor is not None:
tensor_exp = tensor.unsqueeze(0).repeat(num_samples, *[1]*len(tensor.shape))
if flatten:
tensor_exp = self._flatten_samples(tensor_exp)
return tensor_exp
def _flatten_samples(self, tensor):
"""[num_samples, B, ...] -> [num_samples * B, ...]"""
if tensor is not None:
return tensor.view(tensor.shape[0] * tensor.shape[1], *tensor.shape[2:])
def _unflatten_samples(self, tensor, num_samples):
if tensor is not None:
return tensor.view(num_samples, -1, *tensor.shape[1:])
def step(self, x_in, x_out, seq_mask_x, seq_len_x, noisy_x_in, step, summary_writer=None):
q_z = self.model.approximate_posterior(x_in, seq_mask_x, seq_len_x,None,None,None)
p_z = self.model.prior()
if self.loss.num_samples == 1:
z = q_z.rsample()
else:
z = q_z.rsample([self.loss.num_samples])
z = self._flatten_samples(z) # [K * B, ...]
# Expand required inputs to [K * B, ...]
noisy_x_in = self._repeat_over_samples(noisy_x_in, self.loss.num_samples, flatten=True)
seq_mask_x = self._repeat_over_samples(seq_mask_x, self.loss.num_samples, flatten=True)
seq_len_x = self._repeat_over_samples(seq_len_x, self.loss.num_samples, flatten=True)
# Expand targets
x_out = self._repeat_over_samples(x_out, self.loss.num_samples, flatten=True)
# TODO aux likelihoods are not used in the new Loss functions.
lm_likelihood, _, _ = self.model(noisy_x_in, seq_mask_x, seq_len_x, z)
loss_dict = self.loss( None, lm_likelihood, None,x_out, q_z, p_z, z, step, self.model, reduction='mean')
if summary_writer and step % self.histogram_every == 0:
# generate histograms for the posterior and prior
summary_writer.add_histogram("posterior/z", z, step)
for param_name, param_value in get_named_params(q_z):
summary_writer.add_histogram("posterior/%s" % param_name, param_value, step)
prior_sample = p_z.sample(torch.Size([z.size(0)]))
summary_writer.add_histogram("prior/z", prior_sample, step)
for param_name, param_value in get_named_params(p_z):
summary_writer.add_histogram("prior/%s" % param_name, param_value, step)
return loss_dict
class NMTTrainer:
def __init__(self, model, loss):
self.model = model
self.loss = loss
def step(self, x_in, x_out, seq_mask_x, seq_len_x, noisy_x_in, y_in, y_out,
seq_mask_y, seq_len_y, noisy_y_in, step, summary_writer=None):
likelihood, _ = self.model(noisy_x_in, seq_mask_x, seq_len_x, noisy_y_in)
loss_dict = self.loss(likelihood, y_out, self.model, reduction="mean")
return loss_dict
| 46.315068
| 122
| 0.646406
| 972
| 6,762
| 4.167695
| 0.105967
| 0.078993
| 0.038015
| 0.062207
| 0.932116
| 0.912861
| 0.895828
| 0.895828
| 0.895828
| 0.895828
| 0
| 0.005104
| 0.246673
| 6,762
| 146
| 123
| 46.315068
| 0.790145
| 0.131322
| 0
| 0.810526
| 0
| 0
| 0.015275
| 0
| 0
| 0
| 0
| 0.013699
| 0
| 1
| 0.126316
| false
| 0
| 0.031579
| 0
| 0.284211
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
0c69d15a3f3f5194280b083567c7f007262bd0b6
| 334,089
|
py
|
Python
|
mat84bases.py
|
bmilosh/Common-Information-and-Matroid-Ports
|
653908c2d1a4b9c1774573b1f95b870e7f99f875
|
[
"BSD-3-Clause"
] | 1
|
2020-10-19T05:20:53.000Z
|
2020-10-19T05:20:53.000Z
|
mat84bases.py
|
bmilosh/Common-Information-and-Matroid-Ports
|
653908c2d1a4b9c1774573b1f95b870e7f99f875
|
[
"BSD-3-Clause"
] | null | null | null |
mat84bases.py
|
bmilosh/Common-Information-and-Matroid-Ports
|
653908c2d1a4b9c1774573b1f95b870e7f99f875
|
[
"BSD-3-Clause"
] | null | null | null |
allbases = {
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'868_8_4_9' : ['0234','1234','0345','1345','2346','3456','0347','1347','3467'] ,
'869_8_4_8' : ['0234','1234','0345','1345','2346','3456','2347','3457'] ,
'870_8_4_5' : ['0234','1234','2345','2346','2347'] ,
'871_8_4_8' : ['0234','1234','0345','1345','0246','1246','0456','1456'] ,
'872_8_4_6' : ['0234','1234','0345','1345','2346','3456'] ,
'873_8_4_4' : ['0234','1234','2345','2346'] ,
'874_8_4_4' : ['0234','1234','0345','1345'] ,
'875_8_4_3' : ['0234','1234','2345'] ,
'876_8_4_2' : ['0234','1234'] ,
'878_8_4_20' : ['0234','1234','0345','1345','0246','1246','0456','1456','0237','1237','0347','1347','0357','1357','0267','1267','0467','1467','0567','1567'] ,
'879_8_4_16' : ['0234','1234','0345','1345','0246','1246','0456','1456','0247','1247','2347','0457','1457','3457','2467','4567'] ,
'880_8_4_18' : ['0234','1234','0345','1345','2346','3456','0237','1237','0247','1247','0357','1357','0457','1457','2367','2467','3567','4567'] ,
'881_8_4_15' : ['0234','1234','0345','1345','2346','3456','0247','1247','0347','1347','0457','1457','2467','3467','4567'] ,
'882_8_4_14' : ['0234','1234','0345','1345','2346','3456','0247','1247','2347','0457','1457','3457','2467','4567'] ,
'883_8_4_11' : ['0234','1234','0345','1345','2346','3456','0347','1347','2347','3457','3467'] ,
'884_8_4_12' : ['0234','1234','0345','1345','0346','1346','2346','3456','0347','1347','2347','3457'] ,
'885_8_4_12' : ['0234','1234','0245','1245','0345','1345','2346','2456','3456','2347','2457','3457'] ,
'886_8_4_9' : ['0234','1234','2345','2346','0347','1347','2347','3457','3467'] ,
'887_8_4_12' : ['0234','1234','0345','1345','0236','1236','0246','1246','0356','1356','0456','1456'] ,
'888_8_4_10' : ['0234','1234','0345','1345','0246','1246','2346','0456','1456','3456'] ,
'889_8_4_8' : ['0234','1234','0345','1345','0346','1346','2346','3456'] ,
'890_8_4_9' : ['0234','1234','0245','1245','0345','1345','2346','2456','3456'] ,
'891_8_4_7' : ['0234','1234','2345','0346','1346','2346','3456'] ,
'892_8_4_6' : ['0234','1234','0245','1245','0345','1345'] ,
'893_8_4_5' : ['0234','1234','0235','1235','2345'] ,
'894_8_4_3' : ['0123','0134','1234'] ,
'895_8_4_24' : ['0234','1234','0345','1345','0246','1246','0456','1456','0237','1237','0247','1247','2347','0357','1357','0457','1457','3457','0267','1267','2467','0567','1567','4567'] ,
'896_8_4_20' : ['0234','1234','0345','1345','0246','1246','0456','1456','0247','1247','0347','1347','2347','0457','1457','3457','0467','1467','2467','4567'] ,
'897_8_4_21' : ['0234','1234','0345','1345','2346','3456','0237','1237','0247','1247','0347','1347','0357','1357','0457','1457','2367','2467','3467','3567','4567'] ,
'898_8_4_20' : ['0234','1234','0345','1345','2346','3456','0237','1237','0247','1247','2347','0357','1357','0457','1457','3457','2367','2467','3567','4567'] ,
'899_8_4_17' : ['0234','1234','0345','1345','2346','3456','0247','1247','0347','1347','2347','0457','1457','3457','2467','3467','4567'] ,
'900_8_4_16' : ['0234','1234','2345','0236','1236','0246','1246','0346','1346','2356','2456','3456','2347','2367','2467','3467'] ,
'901_8_4_13' : ['0234','1234','2345','2346','0247','1247','0347','1347','2347','2457','3457','2467','3467'] ,
'902_8_4_14' : ['0234','1234','0345','1345','0236','1236','0246','1246','2346','0356','1356','0456','1456','3456'] ,
'903_8_4_12' : ['0234','1234','0345','1345','0236','1236','0346','1346','2346','0356','1356','3456'] ,
'904_8_4_12' : ['0234','1234','2345','0236','1236','0246','1246','0346','1346','2356','2456','3456'] ,
'905_8_4_10' : ['0234','1234','2345','0246','1246','0346','1346','2346','2456','3456'] ,
'906_8_4_8' : ['0234','1234','0235','1235','0245','1245','0345','1345'] ,
'907_8_4_7' : ['0234','1234','0245','1245','0345','1345','2345'] ,
'908_8_4_4' : ['0123','0124','0234','1234'] ,
'909_8_4_28' : ['0234','1234','0345','1345','0246','1246','0456','1456','0237','1237','0247','1247','0347','1347','2347','0357','1357','0457','1457','3457','0267','1267','0467','1467','2467','0567','1567','4567'] ,
'910_8_4_23' : ['0234','1234','0345','1345','2346','3456','0237','1237','0247','1247','0347','1347','2347','0357','1357','0457','1457','3457','2367','2467','3467','3567','4567'] ,
'911_8_4_17' : ['0234','1234','2345','2346','0237','1237','0247','1247','0347','1347','2347','2357','2457','3457','2367','2467','3467'] ,
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'915_8_4_5' : ['0123','0124','0134','0234','1234'] ,
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}
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0
| 9
|
0caec21e2ab5251cd49d15ba2c9ea25f3f75ec93
| 26,631
|
py
|
Python
|
src/software/parse/headerTelemetry.py
|
intel/RAAD
|
9cca9e72ff61658191e30756bb260173d5600102
|
[
"Intel",
"Apache-2.0"
] | null | null | null |
src/software/parse/headerTelemetry.py
|
intel/RAAD
|
9cca9e72ff61658191e30756bb260173d5600102
|
[
"Intel",
"Apache-2.0"
] | null | null | null |
src/software/parse/headerTelemetry.py
|
intel/RAAD
|
9cca9e72ff61658191e30756bb260173d5600102
|
[
"Intel",
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
# *****************************************************************************/
# * Authors: Randal Eike, Joseph Tarango
# *****************************************************************************/
"""
Brief:
headerTelemetry.py - Holds special parsers for Telemetry Log Page Header Data
Description:
-
Classes:
Enter GetHeaders("parsers\\nvme\\headerTelemetry.py") to display Class listings.
"""
from __future__ import absolute_import, division, print_function, unicode_literals # , nested_scopes, generators, generator_stop, with_statement, annotations
import sys
from ctypes import *
from src.software.parse.telemetry_util import MAX_BLOCK_SIZE
from src.software.parse.telemetry_util import GetTruncatedDataBuffer
from src.software.parse.output_log import OutputLog
from src.software.parse.intelVUTelemetryReason import intelTelemetryReasonV1_0_Struct
class NvmeHostInitiatedLogPageHeader_struct(Structure):
"""
Brief:
HostInitiatedLogPageHeader_struct() - Definition of the NVMe Get Host Initiated Log Page header structure for Intel drives.
Description:
Class(es):
None
Method(s):
None
Related: -
Author(s):
Randal Eike
"""
_pack_ = 1
_fields_ = [
("logIdentifier", c_uint8), # byte 00: Log identifier = 0x07
("reserved", c_uint8 * 4), # byte 01-04: reserved in NVMe 1.3 specification
("IEEE_OUI_id", c_uint8 * 3), # byte 05-07:Contains the Organization Unique Identifier (OUI) for the controller vendor.
("dataArea1EndBlock", c_uint16), # byte 08-09:Last block of data area 1
("dataArea2EndBlock", c_uint16), # byte 10-11:Last block of data area 2
("dataArea3EndBlock", c_uint16), # byte 12-13:Last block of data area 3
("reserved2", c_uint8 * 368), # byte 14-381: reserved in NVMe 1.3 specification
("ctrlInitiatedDataAvail", c_uint8), # byte 382: Telemetry Controller Initiated Data available
("ctrlInitiatedGeneration", c_uint8), # byte 383: Telemetry Controller Initiated Data generation
("reasonId", intelTelemetryReasonV1_0_Struct), # byte 384-511: Vendor unique reason identification data
# End More Intel
]
def IsHostInitiated(self):
return True
def tostr(self):
retString = ""
retString += "Name : NvmeHostInitiatedLogPageHeader\n"
retString += "serialNumber : %s\n" % self.getSerialNumber()
retString += "logIdentifier : %d\n" % self.logIdentifier
for i in range(4):
retString += "reserved[%i] : %d\n" % (i, self.reserved[i])
for i in range(3):
retString += "IEE_OUI_id[%i] : %d\n" % (i, self.IEEE_OUI_id[i])
retString += "dataArea1EndBlock : %d\n" % self.dataArea1EndBlock
retString += "dataArea2EndBlock : %d\n" % self.dataArea2EndBlock
retString += "dataArea3EndBlock : %d\n" % self.dataArea3EndBlock
for i in range(368):
retString += "reserved2[%i] : %d\n" % (i, self.reserved2[i])
retString += "ctrlInitiatedDataAvail : %d\n" % self.ctrlInitiatedDataAvail
retString += "ctrlInitiatedGeneration : %d\n" % self.ctrlInitiatedGeneration
retString += "reasonId : %s" % "\n" + self.reasonId.tostr()
return retString
def getStr(self):
return self.tostr()
def validate(self):
valid = True
if (7 != self.logIdentifier):
OutputLog.Error("Log identifier = " + str(self.logIdentifier) + ", Expected 7")
valid = False
if (self.dataArea2EndBlock < self.dataArea1EndBlock):
OutputLog.Error("Data Area 2 last block (" + str(self.dataArea2EndBlock) + ") less than Data 1 last block (" + str(self.dataArea1EndBlock) + ")")
valid = False
if (self.dataArea3EndBlock < self.dataArea2EndBlock):
OutputLog.Error("Data Area 3 last block (" + str(self.dataArea3EndBlock) + ") less than Data 2 last block (" + str(self.dataArea2EndBlock) + ")")
valid = False
for x in range(0, 3):
if (self.reserved[x] != 0):
OutputLog.Warning("Reserved field1[" + str(x) + "] != 0")
for x in range(0, 367):
if (self.reserved2[x] != 0):
OutputLog.Warning("Reserved field2[" + str(x) + "] != 0")
if (self.reasonId.getMajorVersion() != 0):
if (False == self.reasonId.validate(True)):
valid = False
return valid
def getSerialNumber(self):
return self.reasonId.getSerialNumber()
def getLastBlock(self):
dataAreaList = []
lastBlock = max(self.dataArea1EndBlock, self.dataArea2EndBlock, self.dataArea3EndBlock)
lastBlock += 1
if (0 != self.dataArea1EndBlock):
dataAreaList.append(self.dataArea1EndBlock + 1)
if (self.dataArea2EndBlock > self.dataArea1EndBlock): dataAreaList.append(self.dataArea2EndBlock + 1)
if (self.dataArea3EndBlock > self.dataArea2EndBlock): dataAreaList.append(self.dataArea3EndBlock + 1)
elif (0 != self.dataArea2EndBlock):
dataAreaList.append(self.dataArea2EndBlock + 1)
if (self.dataArea3EndBlock > self.dataArea2EndBlock): dataAreaList.append(self.dataArea3EndBlock + 1)
else:
dataAreaList.append(self.dataArea3EndBlock + 1)
return lastBlock, dataAreaList
def getDataAreaLastBlock(self, dataArea):
if (1 == dataArea):
return self.dataArea1EndBlock + 1
elif (2 == dataArea):
return self.dataArea2EndBlock + 1
elif (3 == dataArea):
return self.dataArea3EndBlock + 1
else:
return self.dataArea3EndBlock + 1
def getCIdata(self):
return self.ctrlInitiatedDataAvail, self.ctrlInitiatedGeneration
def IsVersion1(self):
if (self.reasonId.getMajorVersion() == 0):
return True
else:
return False
def getVersionInfo(self):
return self.reasonId.getMajorVersion(), self.reasonId.getMinorVersion()
def tofile(self, filename):
self.reasonId.tofile(filename)
class SataHostInitiatedLogPageHeader_struct(Structure):
"""
Brief:
SataHostInitiatedLogPageHeader_struct() - Definition of the SATA Get Host Initiated Log Page header structure for Intel drives.
Description:
Class(es):
None
Method(s):
None
Related: -
Author(s):
Randal Eike
"""
_pack_ = 1
_fields_ = [
("logIdentifier", c_uint8), # byte 00: Log identifier = 0x07
("reserved", c_uint8 * 4), # byte 01-04: reserved in NVMe 1.3 specification
("IEEE_OUI_id", c_uint8 * 3), # byte 05-07:Contains the Organization Unique Identifier (OUI) for the controller vendor.
("dataArea1EndBlock", c_uint16), # byte 08-09:Last block of data area 1
("dataArea2EndBlock", c_uint16), # byte 10-11:Last block of data area 2
("dataArea3EndBlock", c_uint16), # byte 12-13:Last block of data area 3
("reserved2", c_uint8 * 368), # byte 14-381: reserved in NVMe 1.3 specification
("ctrlInitiatedDataAvail", c_uint8), # byte 382: Telemetry Controller Initiated Data available
("ctrlInitiatedGeneration", c_uint8), # byte 383: Telemetry Controller Initiated Data generation
("reasonId", intelTelemetryReasonV1_0_Struct), # byte 384-511: Vendor unique reason identification data
# End More Intel
]
def IsHostInitiated(self):
return True
def tostr(self):
retString = ""
retString += "Name : SataHostInitiatedLogPageHeader\n"
retString += "serialNumber : %s\n" % self.getSerialNumber()
retString += "logIdentifier : %d\n" % self.logIdentifier
for i in range(4):
retString += "reserved[%i] : %d\n" % (i, self.reserved[i])
for i in range(3):
retString += "IEE_OUI_id[%i] : %d\n" % (i, self.IEEE_OUI_id[i])
retString += "dataArea1EndBlock : %d\n" % self.dataArea1EndBlock
retString += "dataArea2EndBlock : %d\n" % self.dataArea2EndBlock
retString += "dataArea3EndBlock : %d\n" % self.dataArea3EndBlock
for i in range(368):
retString += "reserved2[%i] : %d\n" % (i, self.reserved2[i])
retString += "ctrlInitiatedDataAvail : %d\n" % self.ctrlInitiatedDataAvail
retString += "ctrlInitiatedGeneration : %d\n" % self.ctrlInitiatedGeneration
retString += "reasonId : %s" % "\n" + self.reasonId.tostr()
return retString
def getStr(self):
return self.tostr()
def validate(self):
valid = True
if (0x24 != self.logIdentifier):
OutputLog.Error(format("Log identifier = 0x%x, Expected 0x24" % (self.logIdentifier)))
valid = False
if (self.dataArea2EndBlock < self.dataArea1EndBlock):
OutputLog.Error("Data Area 2 last block (" + str(self.dataArea2EndBlock) + ") less than Data 1 last block (" + str(self.dataArea1EndBlock) + ")")
valid = False
if (self.dataArea3EndBlock < self.dataArea2EndBlock):
OutputLog.Error("Data Area 3 last block (" + str(self.dataArea3EndBlock) + ") less than Data 2 last block (" + str(self.dataArea2EndBlock) + ")")
valid = False
for x in range(0, 3):
if (self.reserved[x] != 0):
OutputLog.Warning("Reserved field1[" + str(x) + "] != 0")
for x in range(0, 367):
if (self.reserved2[x] != 0):
OutputLog.Warning("Reserved field2[" + str(x) + "] != 0")
if (self.reasonId.getMajorVersion() != 0):
if (False == self.reasonId.validate(True)):
valid = False
return valid
def getSerialNumber(self):
return self.reasonId.getSerialNumber()
def getLastBlock(self):
dataAreaList = []
lastBlock = max(self.dataArea1EndBlock, self.dataArea2EndBlock, self.dataArea3EndBlock)
lastBlock += 1
if (0 != self.dataArea1EndBlock):
dataAreaList.append(self.dataArea1EndBlock + 1)
if (self.dataArea2EndBlock > self.dataArea1EndBlock): dataAreaList.append(self.dataArea2EndBlock + 1)
if (self.dataArea3EndBlock > self.dataArea2EndBlock): dataAreaList.append(self.dataArea3EndBlock + 1)
elif (0 != self.dataArea2EndBlock):
dataAreaList.append(self.dataArea2EndBlock + 1)
if (self.dataArea3EndBlock > self.dataArea2EndBlock): dataAreaList.append(self.dataArea3EndBlock + 1)
else:
dataAreaList.append(self.dataArea3EndBlock + 1)
return lastBlock, dataAreaList
def getDataAreaLastBlock(self, dataArea):
if (1 == dataArea):
return self.dataArea1EndBlock + 1
elif (2 == dataArea):
return self.dataArea2EndBlock + 1
elif (3 == dataArea):
return self.dataArea3EndBlock + 1
else:
return self.dataArea3EndBlock + 1
def getCIdata(self):
return self.ctrlInitiatedDataAvail, self.ctrlInitiatedGeneration
def IsVersion1(self):
if (self.reasonId.getMajorVersion() == 0):
return True
else:
return False
def tofile(self, filename):
self.reasonId.tofile(filename)
class NvmeControllerInitiatedLogPageHeader_struct(Structure):
"""
Brief:
ControllerInitiatedLogPageHeader_struct() - Definition of the NVMe Get Controller Initiated Log Page header structure for Intel drives.
Description:
Class(es):
None
Method(s):
None
Related: -
Author(s):
Randal Eike
"""
_pack_ = 1
_fields_ = [
("logIdentifier", c_uint8), # byte 00: Log identifier = 0x08
("reserved", c_uint8 * 4), # byte 01-04: reserved in NVMe 1.3 specification
("IEEE_OUI_id", c_uint8 * 3), # byte 05-07:Contains the Organization Unique Identifier (OUI) for the controller vendor.
("dataArea1EndBlock", c_uint16), # byte 08-09:Last block of data area 1
("dataArea2EndBlock", c_uint16), # byte 10-11:Last block of data area 2
("dataArea3EndBlock", c_uint16), # byte 12-13:Last block of data area 3
("reserved2", c_uint8 * 368), # byte 14-381: reserved in NVMe 1.3 specification
("ctrlInitiatedDataAvail", c_uint8), # byte 382: Telemetry Controller Initiated Data available
("ctrlInitiatedGeneration", c_uint8), # byte 383: Telemetry Controller Initiated Data generation
("reasonId", intelTelemetryReasonV1_0_Struct), # byte 384-511: Vendor unique reason identification data
# End More Intel
]
def IsHostInitiated(self):
return False
def tostr(self):
retString = ""
retString += "Name : NvmeControllerInitiatedLogPageHeader\n"
retString += "serialNumber : %s\n" % self.getSerialNumber()
retString += "logIdentifier : %d\n" % self.logIdentifier
for i in range(4):
retString += "reserved[%i] : %d\n" % (i, self.reserved[i])
for i in range(3):
retString += "IEE_OUI_id[%i] : %d\n" % (i, self.IEEE_OUI_id[i])
retString += "dataArea1EndBlock : %d\n" % self.dataArea1EndBlock
retString += "dataArea2EndBlock : %d\n" % self.dataArea2EndBlock
retString += "dataArea3EndBlock : %d\n" % self.dataArea3EndBlock
for i in range(368):
retString += "reserved2[%i] : %d\n" % (i, self.reserved2[i])
retString += "ctrlInitiatedDataAvail : %d\n" % self.ctrlInitiatedDataAvail
retString += "ctrlInitiatedGeneration : %d\n" % self.ctrlInitiatedGeneration
retString += "reasonId : %s" % "\n" + self.reasonId.tostr()
return retString
def getStr(self):
return self.tostr()
def validate(self):
valid = True
if (8 != self.logIdentifier):
OutputLog.Error("Log identifier = " + str(self.logIdentifier) + ", Expected 8")
valid = False
if (self.dataArea2EndBlock < self.dataArea1EndBlock):
OutputLog.Error("Data Area 2 last block (" + str(self.dataArea2EndBlock) + ") less than Data 1 last block (" + str(self.dataArea1EndBlock) + ")")
valid = False
if (self.dataArea3EndBlock < self.dataArea2EndBlock):
OutputLog.Error("Data Area 3 last block (" + str(self.dataArea3EndBlock) + ") less than Data 2 last block (" + str(self.dataArea2EndBlock) + ")")
valid = False
for x in range(0, 3):
if (self.reserved[x] != 0):
OutputLog.Warning("Reserved field1[" + str(x) + "] != 0")
for x in range(0, 367):
if (self.reserved2[x] != 0):
OutputLog.Warning("Reserved field2[" + str(x) + "] != 0")
if (self.reasonId.getMajorVersion() != 0):
if (False == self.reasonId.validate(False)):
valid = False
return valid
def getLastBlock(self):
dataAreaList = []
lastBlock = max(self.dataArea1EndBlock, self.dataArea2EndBlock, self.dataArea3EndBlock)
lastBlock += 1
if (0 != self.dataArea1EndBlock):
dataAreaList.append(self.dataArea1EndBlock + 1)
if (self.dataArea2EndBlock > self.dataArea1EndBlock): dataAreaList.append(self.dataArea2EndBlock + 1)
if (self.dataArea3EndBlock > self.dataArea2EndBlock): dataAreaList.append(self.dataArea3EndBlock + 1)
elif (0 != self.dataArea2EndBlock):
dataAreaList.append(self.dataArea2EndBlock + 1)
if (self.dataArea3EndBlock > self.dataArea2EndBlock): dataAreaList.append(self.dataArea3EndBlock + 1)
else:
dataAreaList.append(self.dataArea3EndBlock + 1)
return lastBlock, dataAreaList
def getDataAreaLastBlock(self, dataArea):
if (1 == dataArea):
return self.dataArea1EndBlock + 1
elif (2 == dataArea):
return self.dataArea2EndBlock + 1
elif (3 == dataArea):
return self.dataArea3EndBlock + 1
else:
return self.dataArea3EndBlock + 1
def getSerialNumber(self):
return self.reasonId.getSerialNumber()
def getCIdata(self):
return self.ctrlInitiatedDataAvail, self.ctrlInitiatedGeneration
def IsVersion1(self):
if (self.reasonId.getMajorVersion() == 0):
return True
else:
return False
def tofile(self, filename):
self.reasonId.tofile(filename)
class SataControllerInitiatedLogPageHeader_struct(Structure):
"""
Brief:
SataControllerInitiatedLogPageHeader_struct() - Definition of the SATA Get Controller Initiated Log Page header structure for Intel drives.
Description:
Class(es):
None
Method(s):
None
Related: -
Author(s):
Randal Eike
"""
_pack_ = 1
_fields_ = [
("logIdentifier", c_uint8), # byte 00: Log identifier = 0x08
("reserved", c_uint8 * 4), # byte 01-04: reserved in NVMe 1.3 specification
("IEEE_OUI_id", c_uint8 * 3), # byte 05-07:Contains the Organization Unique Identifier (OUI) for the controller vendor.
("dataArea1EndBlock", c_uint16), # byte 08-09:Last block of data area 1
("dataArea2EndBlock", c_uint16), # byte 10-11:Last block of data area 2
("dataArea3EndBlock", c_uint16), # byte 12-13:Last block of data area 3
("reserved2", c_uint8 * 368), # byte 14-381: reserved in NVMe 1.3 specification
("ctrlInitiatedDataAvail", c_uint8), # byte 382: Telemetry Controller Initiated Data available
("ctrlInitiatedGeneration", c_uint8), # byte 383: Telemetry Controller Initiated Data generation
("reasonId", intelTelemetryReasonV1_0_Struct), # byte 384-511: Vendor unique reason identification data
# End More Intel
]
def IsHostInitiated(self):
return False
def tostr(self):
retString = ""
retString += "Name : SataControllerInitiatedLogPageHeader\n"
retString += "serialNumber : %s\n" % self.getSerialNumber()
retString += "logIdentifier : %d\n" % self.logIdentifier
for i in range(4):
retString += "reserved[%i] : %d\n" % (i, self.reserved[i])
for i in range(3):
retString += "IEE_OUI_id[%i] : %d\n" % (i, self.IEEE_OUI_id[i])
retString += "dataArea1EndBlock : %d\n" % self.dataArea1EndBlock
retString += "dataArea2EndBlock : %d\n" % self.dataArea2EndBlock
retString += "dataArea3EndBlock : %d\n" % self.dataArea3EndBlock
for i in range(368):
retString += "reserved2[%i] : %d\n" % (i, self.reserved2[i])
retString += "ctrlInitiatedDataAvail : %d\n" % self.ctrlInitiatedDataAvail
retString += "ctrlInitiatedGeneration : %d\n" % self.ctrlInitiatedGeneration
retString += "reasonId : %s" % "\n" + self.reasonId.tostr()
return retString
def getStr(self):
return self.tostr()
def validate(self):
valid = True
if (0x25 != self.logIdentifier):
OutputLog.Error(format("Log identifier = 0x%x, Expected 0x25" % (self.logIdentifier)))
valid = False
if (self.dataArea2EndBlock < self.dataArea1EndBlock):
OutputLog.Error("Data Area 2 last block (" + str(self.dataArea2EndBlock) + ") less than Data 1 last block (" + str(self.dataArea1EndBlock) + ")")
valid = False
if (self.dataArea3EndBlock < self.dataArea2EndBlock):
OutputLog.Error("Data Area 3 last block (" + str(self.dataArea3EndBlock) + ") less than Data 2 last block (" + str(self.dataArea2EndBlock) + ")")
valid = False
for x in range(0, 3):
if (self.reserved[x] != 0):
OutputLog.Warning("Reserved field1[" + str(x) + "] != 0")
for x in range(0, 367):
if (self.reserved2[x] != 0):
OutputLog.Warning("Reserved field2[" + str(x) + "] != 0")
if (self.reasonId.getMajorVersion() != 0):
if (False == self.reasonId.validate(False)):
valid = False
return valid
def getLastBlock(self):
dataAreaList = []
lastBlock = max(self.dataArea1EndBlock, self.dataArea2EndBlock, self.dataArea3EndBlock)
lastBlock += 1
if (0 != self.dataArea1EndBlock):
dataAreaList.append(self.dataArea1EndBlock + 1)
if (self.dataArea2EndBlock > self.dataArea1EndBlock):
dataAreaList.append(self.dataArea2EndBlock + 1)
if (self.dataArea3EndBlock > self.dataArea2EndBlock):
dataAreaList.append(self.dataArea3EndBlock + 1)
elif (0 != self.dataArea2EndBlock):
dataAreaList.append(self.dataArea2EndBlock + 1)
if (self.dataArea3EndBlock > self.dataArea2EndBlock):
dataAreaList.append(self.dataArea3EndBlock + 1)
else:
dataAreaList.append(self.dataArea3EndBlock + 1)
return lastBlock, dataAreaList
def getDataAreaLastBlock(self, dataArea):
if (1 == dataArea):
return self.dataArea1EndBlock + 1
elif (2 == dataArea):
return self.dataArea2EndBlock + 1
elif (3 == dataArea):
return self.dataArea3EndBlock + 1
else:
return self.dataArea3EndBlock + 1
def getSerialNumber(self):
return self.reasonId.getSerialNumber()
def getCIdata(self):
return self.ctrlInitiatedDataAvail, self.ctrlInitiatedGeneration
def IsVersion1(self):
if (self.reasonId.getMajorVersion() == 0):
return True
else:
return False
def tofile(self, filename):
self.reasonId.tofile(filename)
class TelemetryLogPageHeader_union(Union):
"""
Brief:
getControllerInitiatedLogPageHeader_union() - Definition of the NVMe Get Controller Initiated Log Page header structure for Intel drives.
Description:
Class(es):
None
Method(s):
None
Related: -
Author(s):
Randal Eike
"""
_pack_ = 1
_fields_ = [
("NvmeHostInitiated", NvmeHostInitiatedLogPageHeader_struct), # Header data
("NvmeCtrlInitiated", NvmeControllerInitiatedLogPageHeader_struct), # Header data
("SataHostInitiated", SataHostInitiatedLogPageHeader_struct), # Header data
("SataCtrlInitiated", SataControllerInitiatedLogPageHeader_struct), # Header data
("NvmeLogId", c_ubyte), # NVMe log page number
("SataLogId", c_ubyte), # SATA log page number
("Bytes", c_ubyte * MAX_BLOCK_SIZE), # fill
# End More Intel
]
def __init__(self, imageBuffer, blockSize):
dataSize, dataBuffer = GetTruncatedDataBuffer(imageBuffer, blockSize, MAX_BLOCK_SIZE)
for i in range(0, dataSize):
self.Bytes[i] = dataBuffer[i]
self.isNVMe = True
self.isSATA = False
return
def __getitem__(self, item):
return getattr(self, item)
def getStr(self):
retString = ""
if (self.NvmeLogId == 7):
retString += self.NvmeHostInitiated.getStr()
self.isNVMe = True
self.isSATA = False
elif (self.NvmeLogId == 8):
retString += self.NvmeCtrlInitiated.getStr()
self.isNVMe = True
self.isSATA = False
elif (self.SataLogId == 0x24):
retString += self.SataHostInitiated.getStr()
self.isNVMe = False
self.isSATA = True
elif (self.SataLogId == 0x25):
retString += self.SataCtrlInitiated.getStr()
self.isNVMe = False
self.isSATA = True
else:
self.isNVMe = False
self.isSATA = False
if self.isNvme:
retString += f"NvmeLogId : {self.NvmeLogId}"
if self.isSATA:
retString += f"SataLogId : {self.SataLogId}"
for i in range(MAX_BLOCK_SIZE):
retString += f"Bytes[{i}] : {c_char(self.Bytes[i])}\n"
return retString
def parse(self, outFile=None):
if outFile is not None:
with open(outFile, 'wb') as oFile:
oFile.write('%s\n' % self.getStr())
else:
print(self.getStr())
def getNvmeHostInitiatedStruct(self):
return self.NvmeHostInitiated
def getNvmeControllerInitiatedStruct(self):
return self.NvmeCtrlInitiated
def getNvmeLogPageId(self):
return (self.NvmeLogId)
def getInterfaceLogPageId(self, sata=False):
if (sata):
return (self.SataLogId)
else:
return (self.NvmeLogId)
def getInterfaceTelemetryHeaderStruct(self):
if (self.NvmeLogId == 7):
self.isNVMe = True
self.isSATA = False
return self.NvmeHostInitiated
elif (self.NvmeLogId == 8):
self.isNVMe = True
self.isSATA = False
return self.NvmeCtrlInitiated
elif (self.SataLogId == 0x24):
self.isNVMe = False
self.isSATA = True
return self.SataHostInitiated
elif (self.SataLogId == 0x25):
self.isNVMe = False
self.isSATA = True
return self.SataCtrlInitiated
else:
OutputLog.Error("getTelemetryLogPageHeader_union: unknown log page number {}".format(str(self.NvmeLogId)))
return None
| 40.845092
| 159
| 0.592129
| 2,600
| 26,631
| 6.011923
| 0.090385
| 0.069861
| 0.009212
| 0.016378
| 0.825923
| 0.824323
| 0.819141
| 0.807434
| 0.797454
| 0.788625
| 0
| 0.034451
| 0.298074
| 26,631
| 651
| 160
| 40.907834
| 0.801744
| 0.144719
| 0
| 0.843818
| 0
| 0
| 0.142955
| 0.025546
| 0
| 0
| 0.001468
| 0
| 0
| 1
| 0.10846
| false
| 0
| 0.015184
| 0.045553
| 0.299349
| 0.004338
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
0cc519b2781fcb26f7313aaf12891b37ad3e37e8
| 3,754
|
py
|
Python
|
sgtpy/vrmie_mixtures/ahs_monomer.py
|
MatKie/SGTPy
|
8e98d92fedd2b07d834e547e5154ec8f70d80728
|
[
"MIT"
] | 12
|
2020-12-27T17:04:33.000Z
|
2021-07-19T06:28:28.000Z
|
sgtpy/vrmie_mixtures/ahs_monomer.py
|
MatKie/SGTPy
|
8e98d92fedd2b07d834e547e5154ec8f70d80728
|
[
"MIT"
] | 2
|
2021-05-15T14:27:57.000Z
|
2021-08-19T15:42:24.000Z
|
sgtpy/vrmie_mixtures/ahs_monomer.py
|
MatKie/SGTPy
|
8e98d92fedd2b07d834e547e5154ec8f70d80728
|
[
"MIT"
] | 5
|
2021-02-21T01:33:29.000Z
|
2021-07-26T15:11:08.000Z
|
from __future__ import division, print_function, absolute_import
import numpy as np
# Hard sphere Eq A6
def ahs(xhi):
xhi0, xhi1, xhi2, xhi3 = xhi
xhi3_1 = 1-xhi3
xhi23 = xhi2**3
a = (xhi23/xhi3**2 - xhi0) * np.log(xhi3_1)
a += 3 * xhi1 * xhi2 / xhi3_1
a += xhi23 / xhi3 / xhi3_1**2
a /= xhi0
return a
def dahs_dxhi00(xhi, dxhi_dxhi00):
xhi0, xhi1, xhi2, xhi3 = xhi
dxhi0, dxhi1, dxhi2, dxhi3 = dxhi_dxhi00
xhi3_1 = 1-xhi3
xhi3_12 = xhi3_1**2
xhi3_13 = xhi3_12*xhi3_1
xhi23 = xhi2**3
a = (xhi23/xhi3**2 - xhi0) * np.log(xhi3_1)
a += 3 * xhi1 * xhi2 / xhi3_1
a += xhi23 / xhi3 / xhi3_12
a /= xhi0
da = xhi2 * dxhi2**2 * (-3 + xhi3)
da += 3 * dxhi1 * dxhi2 * -xhi3_1
da -= dxhi0 * dxhi3 * xhi3_12
da /= -xhi3_13 * dxhi0
return np.array([a, da])
def d2ahs_dxhi00(xhi, dxhi_dxhi00):
xhi0, xhi1, xhi2, xhi3 = xhi
dxhi0, dxhi1, dxhi2, dxhi3 = dxhi_dxhi00
xhi3_1 = 1-xhi3
xhi3_12 = xhi3_1**2
xhi3_13 = xhi3_12*xhi3_1
xhi3_14 = xhi3_13*xhi3_1
xhi23 = xhi2**3
dxhi22 = dxhi2**2
dxhi23 = dxhi22*dxhi2
a = (xhi23/xhi3**2 - xhi0) * np.log(xhi3_1)
a += 3 * xhi1 * xhi2 / xhi3_1
a += xhi23 / xhi3 / xhi3_12
a /= xhi0
da = xhi2 * dxhi22 * (-3 + xhi3)
da += 3 * dxhi1 * dxhi2 * -xhi3_1
da -= dxhi0 * dxhi3 * xhi3_12
da /= -xhi3_13 * dxhi0
d2a = -6 * dxhi1 * dxhi2 * dxhi3 * -xhi3_1
d2a += dxhi0 * dxhi3**2 * xhi3_12
d2a += dxhi23 * (3 + xhi3 * (4 - xhi3))
d2a /= xhi3_14 * dxhi0
return np.array([a, da, d2a])
def dahs_dx(xhi, dxhi_dx):
xhi0, xhi1, xhi2, xhi3 = xhi
dxhi0x, dxhi1x, dxhi2x, dxhi3x = dxhi_dx
xhi3_1 = 1-xhi3
xhi3_12 = xhi3_1**2
xhi3_13 = xhi3_12*xhi3_1
log3 = np.log(xhi3_1)
xhi02 = xhi0**2
xhi22 = xhi2**2
xhi23 = xhi22*xhi2
xhi32 = xhi3**2
xhi33 = xhi32*xhi3
a = (xhi23/xhi32 - xhi0) * log3
a += 3 * xhi1 * xhi2 / xhi3_1
a += xhi23 / xhi3 / xhi3_12
a /= xhi0
dax1 = -3*xhi0*xhi22 * (log3 + xhi3/xhi3_12)
dax1 *= dxhi2x / xhi32
dax2 = (xhi2 * dxhi0x - xhi0 * dxhi2x) * -xhi3_1
dax2 += xhi0 * xhi2 * dxhi3x
dax2 *= 3. * xhi1/xhi3_1
dax2 += 3 * xhi0 * xhi2 * dxhi1x
dax2 += xhi02 * dxhi3x
dax2 /= -xhi3_1
dax3 = log3 * dxhi0x - xhi0 * (-2 + xhi3)*dxhi3x/xhi3_12
dax3 *= xhi3
dax3 += 2*log3*xhi0*dxhi3x
dax3 += xhi32 * (-xhi3_1*dxhi0x + 2*xhi0*dxhi3x)/-xhi3_13
dax3 *= (xhi23/xhi33)
dax = dax1 + dax2 + dax3
dax /= -xhi02
return a, dax
def dahs_dxxhi(xhi, dxhi_dxhi00, dxhi_dx):
xhi0, xhi1, xhi2, xhi3 = xhi
dxhi0, dxhi1, dxhi2, dxhi3 = dxhi_dxhi00
dxhi0x, dxhi1x, dxhi2x, dxhi3x = dxhi_dx
xhi3_1 = 1-xhi3
xhi3_12 = xhi3_1**2
xhi3_13 = xhi3_12*xhi3_1
log3 = np.log(xhi3_1)
xhi02 = xhi0**2
xhi22 = xhi2**2
xhi23 = xhi22*xhi2
xhi32 = xhi3**2
xhi33 = xhi32*xhi3
a = (xhi23/xhi32 - xhi0) * log3
a += 3 * xhi1 * xhi2 / xhi3_1
a += xhi23 / xhi3 / xhi3_12
a /= xhi0
da = xhi2 * dxhi2**2 * (-3 + xhi3)
da += 3 * dxhi1 * dxhi2 * -xhi3_1
da -= dxhi0 * dxhi3 * xhi3_12
da /= -xhi3_13 * dxhi0
dax1 = -3*xhi0*xhi22 * (log3 + xhi3/xhi3_12)
dax1 *= dxhi2x / xhi32
dax2 = (xhi2 * dxhi0x - xhi0 * dxhi2x) * -xhi3_1
dax2 += xhi0 * xhi2 * dxhi3x
dax2 *= 3. * xhi1/xhi3_1
dax2 += 3 * xhi0 * xhi2 * dxhi1x
dax2 += xhi02 * dxhi3x
dax2 /= -xhi3_1
dax3 = log3 * dxhi0x - xhi0 * (-2 + xhi3)*dxhi3x/xhi3_12
dax3 *= xhi3
dax3 += 2*log3*xhi0*dxhi3x
dax3 += xhi32 * (-xhi3_1*dxhi0x + 2*xhi0*dxhi3x)/-xhi3_13
dax3 *= (xhi23/xhi33)
dax = dax1 + dax2 + dax3
dax /= -xhi02
return np.array([a, da]), dax
| 23.31677
| 64
| 0.563665
| 581
| 3,754
| 3.488812
| 0.104991
| 0.091268
| 0.059201
| 0.043414
| 0.854958
| 0.833251
| 0.814998
| 0.799704
| 0.799704
| 0.799704
| 0
| 0.209488
| 0.298082
| 3,754
| 160
| 65
| 23.4625
| 0.559772
| 0.004529
| 0
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042017
| false
| 0
| 0.016807
| 0
| 0.10084
| 0.008403
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
0cd10e6ec36e613899f33c5d1935d66003800556
| 555
|
py
|
Python
|
examples/util/ex_hasspace.py
|
ptr-yudai/ptrlib
|
131a2a896e44cb5df09ad530451d02ea66b9aa26
|
[
"MIT"
] | 57
|
2019-12-08T00:02:14.000Z
|
2022-03-24T20:40:40.000Z
|
examples/util/ex_hasspace.py
|
ptr-yudai/ptrlib
|
131a2a896e44cb5df09ad530451d02ea66b9aa26
|
[
"MIT"
] | 3
|
2020-01-26T03:38:31.000Z
|
2020-06-21T13:42:46.000Z
|
examples/util/ex_hasspace.py
|
ptr-yudai/ptrlib
|
131a2a896e44cb5df09ad530451d02ea66b9aa26
|
[
"MIT"
] | 8
|
2020-04-20T08:17:57.000Z
|
2021-10-04T06:04:51.000Z
|
#!/usr/bin/env python
from ptrlib import *
payload = 'Hello,\tWorld!'
print("is_scanf_safe('{}')={}".format(payload, is_scanf_safe(payload)))
is_scanf_safe(payload, warn=True)
print("is_fgets_safe('{}')={}".format(payload, is_fgets_safe(payload)))
is_fgets_safe(payload, warn=True)
print("-"*10)
payload = p64(0xdeadbeef) + p64(0x400a20)
print("is_scanf_safe('{}')={}".format(payload, is_scanf_safe(payload)))
is_scanf_safe(payload, warn=True)
print("is_fgets_safe('{}')={}".format(payload, is_fgets_safe(payload)))
is_fgets_safe(payload, warn=True)
| 29.210526
| 71
| 0.726126
| 81
| 555
| 4.679012
| 0.271605
| 0.189974
| 0.174142
| 0.200528
| 0.783641
| 0.770449
| 0.770449
| 0.770449
| 0.770449
| 0.770449
| 0
| 0.025048
| 0.064865
| 555
| 18
| 72
| 30.833333
| 0.705202
| 0.036036
| 0
| 0.666667
| 0
| 0
| 0.193609
| 0.165414
| 0
| 0
| 0.033835
| 0
| 0
| 1
| 0
| false
| 0
| 0.083333
| 0
| 0.083333
| 0.416667
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
0b6e41fec375498c5d8fa3a23e3a4ceda90164f5
| 101
|
py
|
Python
|
app/rental_hub/__init__.py
|
HASSAN1A/Buy-Rent-Hub
|
2b8735647f57c98a8cfc91314caac9bcc4e1f91d
|
[
"MIT"
] | 1
|
2021-05-28T14:03:18.000Z
|
2021-05-28T14:03:18.000Z
|
app/rental_hub/__init__.py
|
HASSAN1A/Buy-Rent-Hub
|
2b8735647f57c98a8cfc91314caac9bcc4e1f91d
|
[
"MIT"
] | null | null | null |
app/rental_hub/__init__.py
|
HASSAN1A/Buy-Rent-Hub
|
2b8735647f57c98a8cfc91314caac9bcc4e1f91d
|
[
"MIT"
] | 1
|
2020-11-05T13:33:51.000Z
|
2020-11-05T13:33:51.000Z
|
from flask import Blueprint
rental_hub = Blueprint('rental_hub',__name__)
from . import views,forms
| 20.2
| 45
| 0.80198
| 14
| 101
| 5.357143
| 0.642857
| 0.4
| 0.48
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118812
| 101
| 5
| 46
| 20.2
| 0.842697
| 0
| 0
| 0
| 0
| 0
| 0.098039
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
|
0
| 7
|
e7e655083a072c357c70b21c7730d70fb70fae38
| 105,509
|
py
|
Python
|
Alignment/TrackerAlignment/python/Scenarios_cff.py
|
pasmuss/cmssw
|
566f40c323beef46134485a45ea53349f59ae534
|
[
"Apache-2.0"
] | null | null | null |
Alignment/TrackerAlignment/python/Scenarios_cff.py
|
pasmuss/cmssw
|
566f40c323beef46134485a45ea53349f59ae534
|
[
"Apache-2.0"
] | null | null | null |
Alignment/TrackerAlignment/python/Scenarios_cff.py
|
pasmuss/cmssw
|
566f40c323beef46134485a45ea53349f59ae534
|
[
"Apache-2.0"
] | null | null | null |
import FWCore.ParameterSet.Config as cms
import copy # for deepcopy used below
#
# This file contains all scenarios as blocks
# A block can be included in a config file as:
# using <block label>
# in any place where a PSet could be used.
#
# See corresponding .cff files for examples.
#
# Note: following scenarios updated to new hierarchy
# with CMSSW_1_7_0 (numbers only copied, scenarios were
# not revised): 10/100/1000 pb-1, TrackerSurveyOnly,
# TrackerSurveyLAS
#
# Hierarchylevels not used in this update:
# TPBHalfBarrel
# TPBBarrel
# TPEEndcap
# TIBSurface
# TIBHalfShell
# TIBHalfBarrel
# TIBBarrel
# TIDSide
# TOBBarrel
# TECRing
# TECEndcap
# -----------------------------------------------------------------------
# General settings common to all scenarios
MisalignmentScenarioSettings = cms.PSet(
setRotations = cms.bool(True),
setTranslations = cms.bool(True),
seed = cms.int32(1234567),
distribution = cms.string('gaussian'),
setError = cms.bool(True)
)
# -----------------------------------------------------------------------
# "Misalignment" scenario without misalignment...
NoMovementsScenario = cms.PSet(
MisalignmentScenarioSettings
)
#--------------------------------------------------------
# Move ring 7 of of TEC in localY by 1.33 mm
def TECRing7Shift(shift):
shift_Ring7_Units = cms.PSet( DetUnits = cms.PSet(dYlocal = cms.double(shift)))
scenario = cms.PSet(
MisalignmentScenarioSettings,
TECEndcaps = cms.PSet(
distribution = cms.string('fixed'),
TECDisk1_2_3 = cms.PSet(
TECRing7 = cms.PSet( shift_Ring7_Units )# TECRing7
),
TECDisk4_5_6 = cms.PSet(
TECRing6 = cms.PSet( shift_Ring7_Units )# TECRing6
),
TECDisk7_8 = cms.PSet(
TECRing5 = cms.PSet( shift_Ring7_Units )# TECRing5
),
TECDisk9 = cms.PSet(
TECRing4 = cms.PSet( shift_Ring7_Units )# TECRing4
)
)#TECEndcaps
)#scenario
return scenario
TECRing7Plus133mmScenario = TECRing7Shift(0.133)
TECRing7Minus133mmScenario = TECRing7Shift(-0.133)
# -----------------------------------------------------------------------
# LS1BPixRepairScenario
# ---------------------
# This scenario mimics the shifts introduced by the BPix repair work
# during LS1. It contains only the aditional movements. It is intended
# for use in realignment studies.
# Object presented in the TkAlignment meeting of Oct 30, 2014
# https://indico.cern.ch/event/337181/, talk by Ekaterina Avdeeva
# -----------------------------------------------------------------------
shift_0006_000027 = cms.PSet(
dXlocal = cms.double(0.006), phiXlocal = cms.double(0.00027),
dYlocal = cms.double(0.006), phiYlocal = cms.double(0.00027),
dZlocal = cms.double(0.006), phiZlocal = cms.double(0.00027)
)# end of shift_0006_000027
LS1BPixRepair_TPBHalfBarrel2 = cms.PSet(
TPBHalfBarrel2=cms.PSet(
TPBLayers=cms.PSet(
dX= cms.double(0.01),
dY= cms.double(0.01),
dZ= cms.double(0.02),
TPBLadders=cms.PSet(
DetUnit1=cms.PSet( shift_0006_000027 ),#DetUnit1
DetUnit2=cms.PSet( shift_0006_000027 ),#DetUnit2
DetUnit3=cms.PSet( shift_0006_000027 ),#DetUnit3
DetUnit4=cms.PSet( shift_0006_000027 ) #DetUnit4
)#TPBLadders
)#TPBLayers
)#TPBHalfBarrel2
)# end of LS1BPixRepair_TPBHalfBarrel2
LS1BPixRepairScenario = cms.PSet(
MisalignmentScenarioSettings,
LS1BPixRepair_TPBHalfBarrel2
)
LS1BPixRepairAndTECRing7Plus133mmScenario = cms.PSet(
TECRing7Plus133mmScenario,
LS1BPixRepair_TPBHalfBarrel2
)
LS1BPixRepairAndTECRing7Minus133mmScenario = cms.PSet(
TECRing7Minus133mmScenario,
LS1BPixRepair_TPBHalfBarrel2
)
# -----------------------------------------------------------------------
# CSA14 scenario
# See https://twiki.cern.ch/twiki/bin/viewauth/CMS/TkAl1402 for a
# justification of these values. This scenario has to be applied on top
# of an existing MC object, not on top of IDEAL.
# This scenario has been used to produce the CSA14 50ns scenario
#
shift_0050_10em06 = cms.PSet(
dXlocal = cms.double(0.0050), phiXlocal = cms.double(10e-06),
dYlocal = cms.double(0.0050), phiYlocal = cms.double(10e-06),
dZlocal = cms.double(0.0050), phiZlocal = cms.double(10e-06)
)# end of shift_0050_10em06
TrackerCSA14_TPBHalfBarrel1 = cms.PSet(
TPBHalfBarrel1 = cms.PSet(
TPBLayer3 = cms.PSet(
TPBLadder1 = cms.PSet(
DetUnit1 = cms.PSet( shift_0050_10em06 ),
DetUnit2 = cms.PSet( shift_0050_10em06 ),
DetUnit3 = cms.PSet( shift_0050_10em06 ),
DetUnit4 = cms.PSet( shift_0050_10em06 ),
DetUnit5 = cms.PSet( shift_0050_10em06 ),
DetUnit6 = cms.PSet( shift_0050_10em06 ),
DetUnit7 = cms.PSet( shift_0050_10em06 ),
DetUnit8 = cms.PSet( shift_0050_10em06 ),
), # TPBLadder1
TPBLadder3 = cms.PSet(
DetUnit1 = cms.PSet( shift_0050_10em06 ),
DetUnit2 = cms.PSet( shift_0050_10em06 ),
DetUnit3 = cms.PSet( shift_0050_10em06 ),
DetUnit4 = cms.PSet( shift_0050_10em06 ),
), # TPBLadder3
TPBLadder9 = cms.PSet(
DetUnit6 = cms.PSet( shift_0050_10em06 ),
DetUnit7 = cms.PSet( shift_0050_10em06 ),
DetUnit8 = cms.PSet( shift_0050_10em06 ),
), # TPBLadder9
TPBLadder21 = cms.PSet(
DetUnit1 = cms.PSet( shift_0050_10em06 ),
DetUnit2 = cms.PSet( shift_0050_10em06 ),
DetUnit3 = cms.PSet( shift_0050_10em06 )
)# TPBLadder21
)# TPBLayer3
)# TPBHalfBarrel1
)#end of TrackerCSA14_TPBHalfBarrel1
TrackerCSA14_BarrelsGeneralSettings = cms.PSet(
distribution = cms.string('gaussian'), scale = cms.double(1.0), scaleError = cms.double(1.0),
TPBHalfBarrels = cms.PSet( distribution = cms.string('flat'), dX = cms.double(0.0005), dY = cms.double(0.0010),
dZ = cms.double(0.0050), phiX = cms.double(30e-6),
phiY = cms.double(30e-06), phiZ = cms.double(30e-06)),# TPBHalfBarrels
DetUnits = cms.PSet( dXlocal = cms.double(0.0001), dYlocal = cms.double(0.0001),
dZlocal = cms.double(0.0001), phiXlocal = cms.double(0.5e-04),
phiYlocal = cms.double(0.5e-04), phiZlocal = cms.double(0.5e-04))# DetUnits
)#end of TrackerCSA14_BarrelsGeneralSettings
shift_0010_10em06 = cms.PSet(
dXlocal = cms.double(0.01), phiXlocal = cms.double(10e-06),
dYlocal = cms.double(0.01), phiYlocal = cms.double(10e-06),
dZlocal = cms.double(0.01), phiZlocal = cms.double(10e-06)
)# end of shift_001_10em06
shift_00002_05em04 = cms.PSet(
dXlocal = cms.double(0.0002), phiXlocal = cms.double(0.5e-04),
dYlocal = cms.double(0.0002), phiYlocal = cms.double(0.5e-04),
dZlocal = cms.double(0.0002), phiZlocal = cms.double(0.5e-04)
)# end of shift_00002_05em04
TrackerCSA14_OtherThanBarrels = cms.PSet(
TPEEndcap1 = cms.PSet(
distribution = cms.string('gaussian'), scale = cms.double(1.0), scaleError = cms.double(1.0),
dX = cms.double(0.01), dY = cms.double(0.01), dZ = cms.double(0.01),
phiX = cms.double(10e-06), phiY = cms.double(10e-06), phiZ = cms.double(10e-06)
),#TPEEndcap1
TPEEndcap2 = cms.PSet(
distribution = cms.string('gaussian'), scale = cms.double(1.0), scaleError = cms.double(1.0),
TPEPanels = cms.PSet ( shift_0010_10em06 ), # TPEPanels
TPEHalfCylinder1 = cms.PSet(
TPEHalfDisk1 = cms.PSet(
TPEBlade1 = cms.PSet(
TPEPanel1 = cms.PSet(
DetUnits = cms.PSet( shift_0010_10em06 )#DetUnits
)# TPEPanel1
), #TPEBlade1
TPEBlade8 = cms.PSet(
TPEPanel2 = cms.PSet(
DetUnits = cms.PSet( shift_0010_10em06 ) #DetUnits
)# TPEPanel2
)#TPEBlade8
)#TPEHalfDisk1
),#TPEHalfCylinder1
TPEHalfCylinder2 = cms.PSet(
TPEHalfDisk1 = cms.PSet(
TPEBlade9 = cms.PSet(
TPEPanel2 = cms.PSet(
DetUnits = cms.PSet( shift_0010_10em06 ) #DetUnits
)# TPEPanel2
)#TPEBlade9
)#TPEHalfDisk1
)#TPEHalfCylinder2
),#TPEEndcap2
TIBHalfBarrels = cms.PSet(distribution = cms.string('gaussian'), scale = cms.double(1.0), scaleError = cms.double(1.0),
DetUnits = cms.PSet( shift_00002_05em04 )#DetUnits
), # TIBHalfBarrels
TOBHalfBarrels = cms.PSet(distribution = cms.string('gaussian'), scale = cms.double(1.0), scaleError = cms.double(1.0),
DetUnits = cms.PSet( dXlocal = cms.double(0.0005), dYlocal = cms.double(0.0005),
dZlocal = cms.double(0.0005), phiXlocal = cms.double(0.5e-04),
phiYlocal = cms.double(0.5e-04), phiZlocal = cms.double(0.5e-04),)#DetUnits
), # TOBHalfBarrels
TIDEndcaps = cms.PSet(distribution = cms.string('gaussian'), scale = cms.double(1.0), scaleError = cms.double(1.0),
DetUnits = cms.PSet( shift_00002_05em04 )#DetUnits
), # TIDEndcaps
TECEndcaps = cms.PSet(distribution = cms.string('gaussian'), scale = cms.double(1.0), scaleError = cms.double(1.0),
DetUnits = cms.PSet( shift_00002_05em04 )#DetUnits
) # TECEndcaps
)#end of TrackerCSA14_OtherThanBarrels
TrackerCSA14Scenario = cms.PSet(
MisalignmentScenarioSettings,
TrackerCSA14_OtherThanBarrels,
TPBBarrels = cms.PSet(
TrackerCSA14_BarrelsGeneralSettings,
TrackerCSA14_TPBHalfBarrel1
)#TPBBarrels
)#end of TrackerCSA14Scenario
#------------------------------------------------------------------------
# merged TrackerCSA14 and LS1BPixRepair
TrackerCSA14AndLS1BPixRepairScenario = cms.PSet(
MisalignmentScenarioSettings,
TrackerCSA14_OtherThanBarrels,
TPBBarrels = cms.PSet(
TrackerCSA14_BarrelsGeneralSettings,
TrackerCSA14_TPBHalfBarrel1,
LS1BPixRepair_TPBHalfBarrel2
)#TPBBarrels
)#end of TrackerCSA14AndLS1BPixRepairScenario
# -----------------------------------------------------------------------
# Example scenario (dummy movements)
TrackerExampleScenario = cms.PSet(
MisalignmentScenarioSettings,
TOBHalfBarrel1 = cms.PSet(
TOBLayers = cms.PSet(
dX = cms.double(0.1)
),
TOBLayer1 = cms.PSet(
dX = cms.double(0.2)
)
),
TOBHalfBarrels = cms.PSet(
TOBLayer1 = cms.PSet(
phiX = cms.double(0.03)
),
dX = cms.double(0.2)
)
)
# -----------------------------------------------------------------------
# 10 pb-1 misalignment scenario
# See CMS IN 2007/036
#
# first helper blocks for TEC:
TECRings10pb_1D = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0022),
phiXlocal = cms.double(5e-05),
dYlocal = cms.double(0.0022),
phiZlocal = cms.double(5e-05),
dXlocal = cms.double(0.0022),
phiYlocal = cms.double(5e-05)
)
)
TECRings10pb_2D = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0022),
phiXlocal = cms.double(5e-05),
dYlocal = cms.double(0.0022),
phiZlocal = cms.double(5e-05),
dXlocal = cms.double(0.0022),
phiYlocal = cms.double(5e-05)
)
)
# now real scenario:
Tracker10pbScenario = cms.PSet(
MisalignmentScenarioSettings,
TIBHalfBarrels = cms.PSet(
TIBLayers = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(6.5e-05),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(6.5e-05),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(6.5e-05)
),
scale = cms.double(1.0),
TIBLayer3_4 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.018),
phiXlocal = cms.double(0.000412),
dYlocal = cms.double(0.018),
phiZlocal = cms.double(0.000412),
dXlocal = cms.double(0.018),
phiYlocal = cms.double(0.000412)
)
),
scaleError = cms.double(1.0),
TIBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.018),
phiXlocal = cms.double(0.000412),
dYlocal = cms.double(0.018),
phiZlocal = cms.double(0.000412),
dXlocal = cms.double(0.018),
phiYlocal = cms.double(0.000412)
)
),
distribution = cms.string('gaussian'),
TIBStrings = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(6.5e-05),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(6.5e-05),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(6.5e-05)
)
),
TPBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
DetUnits = cms.PSet(
dZlocal = cms.double(0.006),
phiXlocal = cms.double(0.00027),
dYlocal = cms.double(0.006),
phiZlocal = cms.double(0.00027),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.006),
phiYlocal = cms.double(0.00027)
),
TPBLayers = cms.PSet(
phiXlocal = cms.double(7e-06),
phiZlocal = cms.double(7e-06),
dZ = cms.double(0.001),
dX = cms.double(0.001),
dY = cms.double(0.001),
distribution = cms.string('gaussian'),
phiYlocal = cms.double(7e-06)
),
scaleError = cms.double(1.0),
TPBLadders = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(7e-06),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(7e-06),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(7e-06)
)
),
TOBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
TOBLayer3_4_5_6 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0032),
phiXlocal = cms.double(7.5e-05),
dYlocal = cms.double(0.0032),
phiZlocal = cms.double(7.5e-05),
dXlocal = cms.double(0.0032),
phiYlocal = cms.double(7.5e-05)
)
),
scaleError = cms.double(1.0),
TOBLayers = cms.PSet(
dXlocal = cms.double(0.0),
dZlocal = cms.double(0.0),
dYlocal = cms.double(0.0)
),
TOBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0032),
phiXlocal = cms.double(7.5e-05),
dYlocal = cms.double(0.0032),
phiZlocal = cms.double(7.5e-05),
dXlocal = cms.double(0.0032),
phiYlocal = cms.double(7.5e-05)
)
),
TOBRods = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(4e-05),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(4e-05),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(4e-05)
),
TOBHalfBarrels = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(1e-05),
dYlocal = cms.double(0.006),
phiZlocal = cms.double(1e-05),
dXlocal = cms.double(0.006),
phiYlocal = cms.double(1e-05)
),
distribution = cms.string('gaussian')
),
TECEndcaps = cms.PSet(
scale = cms.double(1.0),
TECDisk9 = cms.PSet(
TECRing2 = cms.PSet(
TECRings10pb_2D
),
TECRing1_3_4 = cms.PSet(
TECRings10pb_1D
)
),
scaleError = cms.double(1.0),
TECPetals = cms.PSet(
dZlocal = cms.double(0.007),
phiXlocal = cms.double(3e-05),
dYlocal = cms.double(0.007),
phiZlocal = cms.double(3e-05),
dXlocal = cms.double(0.007),
phiYlocal = cms.double(3e-05)
),
TECDisks = cms.PSet(
dZlocal = cms.double(0.015),
phiXlocal = cms.double(1.5e-05),
dYlocal = cms.double(0.006),
phiZlocal = cms.double(1.5e-05),
dXlocal = cms.double(0.006),
phiYlocal = cms.double(1.5e-05)
),
TECDisk4_5_6 = cms.PSet(
TECRing2_3_5_6 = cms.PSet(
TECRings10pb_1D
),
TECRing1_4 = cms.PSet(
TECRings10pb_2D
)
),
TECDisk7_8 = cms.PSet(
TECRing3 = cms.PSet(
TECRings10pb_2D
),
TECRing1_2_4_5 = cms.PSet(
TECRings10pb_1D
)
),
distribution = cms.string('gaussian'),
TECDisk1_2_3 = cms.PSet(
TECRing3_4_6_7 = cms.PSet(
TECRings10pb_1D
),
TECRing1_2_5 = cms.PSet(
TECRings10pb_2D
)
)
),
TPEEndcaps = cms.PSet(
TPEPanels = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(0.0002),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(0.0002),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(0.0002)
),
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TPEHalfDisks = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(1.5e-05),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(1.5e-05),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(1.5e-05)
),
DetUnits = cms.PSet(
dZlocal = cms.double(0.0005),
phiXlocal = cms.double(0.0001),
dYlocal = cms.double(0.0005),
phiZlocal = cms.double(0.0001),
dXlocal = cms.double(0.0005),
phiYlocal = cms.double(0.0001)
),
TPEBlades = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(1.5e-05),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(1.5e-05),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(1.5e-05)
),
distribution = cms.string('gaussian')
),
TIDEndcaps = cms.PSet(
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TIDRings = cms.PSet(
dZlocal = cms.double(0.0185),
phiXlocal = cms.double(0.00085),
dYlocal = cms.double(0.0185),
phiZlocal = cms.double(0.00085),
dXlocal = cms.double(0.0185),
phiYlocal = cms.double(0.00085)
),
TIDRing1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0054),
phiXlocal = cms.double(0.00025),
dYlocal = cms.double(0.0054),
phiZlocal = cms.double(0.00025),
dXlocal = cms.double(0.0054),
phiYlocal = cms.double(0.00025)
)
),
TIDDisks = cms.PSet(
dZlocal = cms.double(0.025),
phiXlocal = cms.double(0.00038),
dYlocal = cms.double(0.025),
phiZlocal = cms.double(0.00038),
dXlocal = cms.double(0.025),
phiYlocal = cms.double(0.00038)
),
distribution = cms.string('gaussian'),
TIDRing3 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0054),
phiXlocal = cms.double(0.00025),
dYlocal = cms.double(0.0054),
phiZlocal = cms.double(0.00025),
dXlocal = cms.double(0.0054),
phiYlocal = cms.double(0.00025)
)
)
)
)
# 100 pb-1 misalignment scenario
# See CMS IN 2007/036
# first helper blocks for TEC:
TECRings100pb_1D = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0022),
phiXlocal = cms.double(5e-05),
dYlocal = cms.double(0.0022),
phiZlocal = cms.double(5e-05),
dXlocal = cms.double(0.0022),
phiYlocal = cms.double(5e-05)
)
)
TECRings100pb_2D = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0022),
phiXlocal = cms.double(5e-05),
dYlocal = cms.double(0.0022),
phiZlocal = cms.double(5e-05),
dXlocal = cms.double(0.0022),
phiYlocal = cms.double(5e-05)
)
)
# now real scenario:
Tracker100pbScenario = cms.PSet(
MisalignmentScenarioSettings,
TIBHalfBarrels = cms.PSet(
TIBLayers = cms.PSet(
dZlocal = cms.double(0.0015),
phiXlocal = cms.double(1e-05),
dYlocal = cms.double(0.0015),
phiZlocal = cms.double(1e-05),
dXlocal = cms.double(0.0015),
phiYlocal = cms.double(1e-05)
),
scale = cms.double(1.0),
TIBLayer3_4 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.003),
phiXlocal = cms.double(7e-05),
dYlocal = cms.double(0.003),
phiZlocal = cms.double(7e-05),
dXlocal = cms.double(0.003),
phiYlocal = cms.double(7e-05)
)
),
scaleError = cms.double(1.0),
TIBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.003),
phiXlocal = cms.double(7e-05),
dYlocal = cms.double(0.003),
phiZlocal = cms.double(7e-05),
dXlocal = cms.double(0.003),
phiYlocal = cms.double(7e-05)
)
),
distribution = cms.string('gaussian'),
TIBStrings = cms.PSet(
dZlocal = cms.double(0.003),
phiXlocal = cms.double(2e-05),
dYlocal = cms.double(0.003),
phiZlocal = cms.double(2e-05),
dXlocal = cms.double(0.003),
phiYlocal = cms.double(2e-05)
)
),
TPBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
DetUnits = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(4.5e-05),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(4.5e-05),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(4.5e-05)
),
TPBLayers = cms.PSet(
phiXlocal = cms.double(3e-06),
phiZlocal = cms.double(3e-06),
dZ = cms.double(0.0005),
dX = cms.double(0.0005),
dY = cms.double(0.0005),
distribution = cms.string('gaussian'),
phiYlocal = cms.double(3e-06)
),
scaleError = cms.double(1.0),
TPBLadders = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(7e-06),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(7e-06),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(7e-06)
)
),
TOBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
TOBLayer3_4_5_6 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0032),
phiXlocal = cms.double(7e-05),
dYlocal = cms.double(0.0032),
phiZlocal = cms.double(7e-05),
dXlocal = cms.double(0.0032),
phiYlocal = cms.double(7e-05)
)
),
scaleError = cms.double(1.0),
TOBLayers = cms.PSet(
dXlocal = cms.double(0.0),
dZlocal = cms.double(0.0),
dYlocal = cms.double(0.0)
),
TOBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0032),
phiXlocal = cms.double(7e-05),
dYlocal = cms.double(0.0032),
phiZlocal = cms.double(7e-05),
dXlocal = cms.double(0.0032),
phiYlocal = cms.double(7e-05)
)
),
TOBRods = cms.PSet(
dZlocal = cms.double(0.004),
phiXlocal = cms.double(1.5e-05),
dYlocal = cms.double(0.004),
phiZlocal = cms.double(1.5e-05),
dXlocal = cms.double(0.004),
phiYlocal = cms.double(1.5e-05)
),
TOBHalfBarrels = cms.PSet(
dZlocal = cms.double(0.002),
phiXlocal = cms.double(5e-06),
dYlocal = cms.double(0.002),
phiZlocal = cms.double(5e-06),
dXlocal = cms.double(0.002),
phiYlocal = cms.double(5e-06)
),
distribution = cms.string('gaussian')
),
TECEndcaps = cms.PSet(
scale = cms.double(1.0),
TECDisk9 = cms.PSet(
TECRing2 = cms.PSet(
TECRings100pb_2D
),
TECRing1_3_4 = cms.PSet(
TECRings100pb_1D
)
),
scaleError = cms.double(1.0),
TECPetals = cms.PSet(
dZlocal = cms.double(0.0055),
phiXlocal = cms.double(2e-05),
dYlocal = cms.double(0.0055),
phiZlocal = cms.double(2e-05),
dXlocal = cms.double(0.0055),
phiYlocal = cms.double(2e-05)
),
TECDisks = cms.PSet(
dZlocal = cms.double(0.003),
phiXlocal = cms.double(5e-06),
dYlocal = cms.double(0.003),
phiZlocal = cms.double(5e-06),
dXlocal = cms.double(0.003),
phiYlocal = cms.double(5e-06)
),
TECDisk4_5_6 = cms.PSet(
TECRing2_3_5_6 = cms.PSet(
TECRings100pb_1D
),
TECRing1_4 = cms.PSet(
TECRings100pb_2D
)
),
TECDisk7_8 = cms.PSet(
TECRing3 = cms.PSet(
TECRings100pb_2D
),
TECRing1_2_4_5 = cms.PSet(
TECRings100pb_1D
)
),
distribution = cms.string('gaussian'),
TECDisk1_2_3 = cms.PSet(
TECRing3_4_6_7 = cms.PSet(
TECRings100pb_1D
),
TECRing1_2_5 = cms.PSet(
TECRings100pb_2D
)
)
),
TPEEndcaps = cms.PSet(
TPEPanels = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(2.2e-05),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(2.2e-05),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(2.2e-05)
),
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TPEHalfDisks = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(1.5e-05),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(1.5e-05),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(1.5e-05)
),
DetUnits = cms.PSet(
dZlocal = cms.double(0.0005),
phiXlocal = cms.double(1.1e-05),
dYlocal = cms.double(0.0005),
phiZlocal = cms.double(1.1e-05),
dXlocal = cms.double(0.0005),
phiYlocal = cms.double(1.1e-05)
),
TPEBlades = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(1.5e-05),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(1.5e-05),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(1.5e-05)
),
distribution = cms.string('gaussian')
),
TIDEndcaps = cms.PSet(
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TIDRing3 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.00023),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.00023),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.00023)
)
),
TIDRing1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.00023),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.00023),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.00023)
)
),
TIDDisks = cms.PSet(
dZlocal = cms.double(0.0025),
phiXlocal = cms.double(4e-05),
dYlocal = cms.double(0.0025),
phiZlocal = cms.double(4e-05),
dXlocal = cms.double(0.0025),
phiYlocal = cms.double(4e-05)
),
distribution = cms.string('gaussian'),
TIDRings = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.00023),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.00023),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.00023)
)
)
)
# -----------------------------------------------------------------------
# 1000 pb-1 misalignment scenario
# See CMS IN 2007/036
# first helper blocks for TEC:
TECRings1000pb_1D = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0022),
phiXlocal = cms.double(5e-05),
dYlocal = cms.double(0.0022),
phiZlocal = cms.double(5e-05),
dXlocal = cms.double(0.0022),
phiYlocal = cms.double(5e-05)
)
)
TECRings1000pb_2D = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0022),
phiXlocal = cms.double(5e-05),
dYlocal = cms.double(0.0022),
phiZlocal = cms.double(5e-05),
dXlocal = cms.double(0.0022),
phiYlocal = cms.double(5e-05)
)
)
# now real scenario:
Tracker1000pbScenario = cms.PSet(
MisalignmentScenarioSettings,
TIBHalfBarrels = cms.PSet(
TIBLayers = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(5e-06),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(5e-06),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(5e-06)
),
scale = cms.double(1.0),
TIBLayer3_4 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(2e-05),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(2e-05),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(2e-05)
)
),
scaleError = cms.double(1.0),
TIBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(2e-05),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(2e-05),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(2e-05)
)
),
distribution = cms.string('gaussian'),
TIBStrings = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(5e-06),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(5e-06),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(5e-06)
)
),
TPBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
DetUnits = cms.PSet(
dZlocal = cms.double(0.0005),
phiXlocal = cms.double(2.2e-05),
dYlocal = cms.double(0.0005),
phiZlocal = cms.double(2.2e-05),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.0005),
phiYlocal = cms.double(2.2e-05)
),
TPBLayers = cms.PSet(
phiXlocal = cms.double(3e-06),
phiZlocal = cms.double(3e-06),
dZ = cms.double(0.0005),
dX = cms.double(0.0005),
dY = cms.double(0.0005),
distribution = cms.string('gaussian'),
phiYlocal = cms.double(3e-06)
),
scaleError = cms.double(1.0),
TPBLadders = cms.PSet(
dZlocal = cms.double(0.0005),
phiXlocal = cms.double(3e-06),
dYlocal = cms.double(0.0005),
phiZlocal = cms.double(3e-06),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.0005),
phiYlocal = cms.double(3e-06)
)
),
TOBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
TOBLayer3_4_5_6 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0018),
phiXlocal = cms.double(4e-05),
dYlocal = cms.double(0.0018),
phiZlocal = cms.double(4e-05),
dXlocal = cms.double(0.0018),
phiYlocal = cms.double(4e-05)
)
),
scaleError = cms.double(1.0),
TOBLayers = cms.PSet(
dXlocal = cms.double(0.0),
dZlocal = cms.double(0.0),
dYlocal = cms.double(0.0)
),
TOBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0018),
phiXlocal = cms.double(4e-05),
dYlocal = cms.double(0.0018),
phiZlocal = cms.double(4e-05),
dXlocal = cms.double(0.0018),
phiYlocal = cms.double(4e-05)
)
),
TOBRods = cms.PSet(
dZlocal = cms.double(0.0018),
phiXlocal = cms.double(7e-06),
dYlocal = cms.double(0.0018),
phiZlocal = cms.double(7e-06),
dXlocal = cms.double(0.0018),
phiYlocal = cms.double(7e-06)
),
TOBHalfBarrels = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(2e-06),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(2e-06),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(2e-06)
),
distribution = cms.string('gaussian')
),
TECEndcaps = cms.PSet(
scale = cms.double(1.0),
TECDisk9 = cms.PSet(
TECRing2 = cms.PSet(
TECRings1000pb_2D
),
TECRing1_3_4 = cms.PSet(
TECRings1000pb_1D
)
),
scaleError = cms.double(1.0),
TECPetals = cms.PSet(
dZlocal = cms.double(0.004),
phiXlocal = cms.double(1.5e-05),
dYlocal = cms.double(0.004),
phiZlocal = cms.double(1.5e-05),
dXlocal = cms.double(0.004),
phiYlocal = cms.double(1.5e-05)
),
TECDisks = cms.PSet(
dZlocal = cms.double(0.002),
phiXlocal = cms.double(5e-06),
dYlocal = cms.double(0.002),
phiZlocal = cms.double(5e-06),
dXlocal = cms.double(0.002),
phiYlocal = cms.double(5e-06)
),
TECDisk4_5_6 = cms.PSet(
TECRing2_3_5_6 = cms.PSet(
TECRings1000pb_1D
),
TECRing1_4 = cms.PSet(
TECRings1000pb_2D
)
),
TECDisk7_8 = cms.PSet(
TECRing3 = cms.PSet(
TECRings1000pb_2D
),
TECRing1_2_4_5 = cms.PSet(
TECRings1000pb_1D
)
),
distribution = cms.string('gaussian'),
TECDisk1_2_3 = cms.PSet(
TECRing3_4_6_7 = cms.PSet(
TECRings1000pb_1D
),
TECRing1_2_5 = cms.PSet(
TECRings1000pb_2D
)
)
),
TPEEndcaps = cms.PSet(
TPEPanels = cms.PSet(
dZlocal = cms.double(0.0005),
phiXlocal = cms.double(1.1e-05),
dYlocal = cms.double(0.0005),
phiZlocal = cms.double(1.1e-05),
dXlocal = cms.double(0.0005),
phiYlocal = cms.double(1.1e-05)
),
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TPEHalfDisks = cms.PSet(
dZlocal = cms.double(0.0005),
phiXlocal = cms.double(7e-06),
dYlocal = cms.double(0.0005),
phiZlocal = cms.double(7e-06),
dXlocal = cms.double(0.0005),
phiYlocal = cms.double(7e-06)
),
DetUnits = cms.PSet(
dZlocal = cms.double(0.0005),
phiXlocal = cms.double(1.1e-05),
dYlocal = cms.double(0.0005),
phiZlocal = cms.double(1.1e-05),
dXlocal = cms.double(0.0005),
phiYlocal = cms.double(1.1e-05)
),
TPEBlades = cms.PSet(
dZlocal = cms.double(0.0005),
phiXlocal = cms.double(7e-06),
dYlocal = cms.double(0.0005),
phiZlocal = cms.double(7e-06),
dXlocal = cms.double(0.0005),
phiYlocal = cms.double(7e-06)
),
distribution = cms.string('gaussian')
),
TIDEndcaps = cms.PSet(
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TIDRing3 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0025),
phiXlocal = cms.double(0.00011),
dYlocal = cms.double(0.0025),
phiZlocal = cms.double(0.00011),
dXlocal = cms.double(0.0025),
phiYlocal = cms.double(0.00011)
)
),
TIDRing1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0025),
phiXlocal = cms.double(0.00011),
dYlocal = cms.double(0.0025),
phiZlocal = cms.double(0.00011),
dXlocal = cms.double(0.0025),
phiYlocal = cms.double(0.00011)
)
),
TIDDisks = cms.PSet(
dZlocal = cms.double(0.0012),
phiXlocal = cms.double(2e-05),
dYlocal = cms.double(0.0012),
phiZlocal = cms.double(2e-05),
dXlocal = cms.double(0.0012),
phiYlocal = cms.double(2e-05)
),
distribution = cms.string('gaussian'),
TIDRings = cms.PSet(
dZlocal = cms.double(0.0025),
phiXlocal = cms.double(0.00011),
dYlocal = cms.double(0.0025),
phiZlocal = cms.double(0.00011),
dXlocal = cms.double(0.0025),
phiYlocal = cms.double(0.00011)
)
)
)
# -----------------------------------------------------------------------
# Survey&LAS only misalignment scenario
# See CMS IN 2007/036, table 6, "Updated initial uncertainties"
# first helper blocks for TEC:
TECRingsSurveyLASOnly_1D = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0022),
phiXlocal = cms.double(5e-05),
dYlocal = cms.double(0.0022),
phiZlocal = cms.double(5e-05),
dXlocal = cms.double(0.0022),
phiYlocal = cms.double(5e-05)
)
)
TECRingsSurveyLASOnly_2D = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0022),
phiXlocal = cms.double(5e-05),
dYlocal = cms.double(0.0022),
phiZlocal = cms.double(5e-05),
dXlocal = cms.double(0.0022),
phiYlocal = cms.double(5e-05)
)
)
# now real scenario:
TrackerSurveyLASOnlyScenario = cms.PSet(
MisalignmentScenarioSettings,
TIBHalfBarrels = cms.PSet(
TIBLayers = cms.PSet(
dZlocal = cms.double(0.075),
phiXlocal = cms.double(0.000488),
dYlocal = cms.double(0.075),
phiZlocal = cms.double(0.000488),
dXlocal = cms.double(0.075),
phiYlocal = cms.double(0.000488)
),
scale = cms.double(1.0),
TIBLayer3_4 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.018),
phiXlocal = cms.double(0.000412),
dYlocal = cms.double(0.018),
phiZlocal = cms.double(0.000412),
dXlocal = cms.double(0.018),
phiYlocal = cms.double(0.000412)
)
),
scaleError = cms.double(1.0),
TIBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.018),
phiXlocal = cms.double(0.000412),
dYlocal = cms.double(0.018),
phiZlocal = cms.double(0.000412),
dXlocal = cms.double(0.018),
phiYlocal = cms.double(0.000412)
)
),
distribution = cms.string('gaussian'),
TIBStrings = cms.PSet(
dZlocal = cms.double(0.045),
phiXlocal = cms.double(0.000293),
dYlocal = cms.double(0.045),
phiZlocal = cms.double(0.000293),
dXlocal = cms.double(0.045),
phiYlocal = cms.double(0.000293)
)
),
TPBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
DetUnits = cms.PSet(
dZlocal = cms.double(0.006),
phiXlocal = cms.double(0.00027),
dYlocal = cms.double(0.006),
phiZlocal = cms.double(0.00027),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.006),
phiYlocal = cms.double(0.00027)
),
TPBLayers = cms.PSet(
phiXlocal = cms.double(1e-05),
phiZlocal = cms.double(1e-05),
dZ = cms.double(0.0337),
dX = cms.double(0.0225),
dY = cms.double(0.0225),
distribution = cms.string('gaussian'),
phiYlocal = cms.double(1e-05)
),
scaleError = cms.double(1.0),
TPBLadders = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(2e-05),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(2e-05),
distribution = cms.string('flat'),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(2e-05)
)
),
TOBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
TOBLayer3_4_5_6 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0032),
phiXlocal = cms.double(7.5e-05),
dYlocal = cms.double(0.0032),
phiZlocal = cms.double(7.5e-05),
dXlocal = cms.double(0.0032),
phiYlocal = cms.double(7.5e-05)
)
),
scaleError = cms.double(1.0),
TOBLayers = cms.PSet(
dXlocal = cms.double(0.0),
dZlocal = cms.double(0.0),
dYlocal = cms.double(0.0)
),
TOBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0032),
phiXlocal = cms.double(7.5e-05),
dYlocal = cms.double(0.0032),
phiZlocal = cms.double(7.5e-05),
dXlocal = cms.double(0.0032),
phiYlocal = cms.double(7.5e-05)
)
),
TOBRods = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(4e-05),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(4e-05),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(4e-05)
),
TOBHalfBarrels = cms.PSet(
dZlocal = cms.double(0.05),
phiXlocal = cms.double(1e-05),
dYlocal = cms.double(0.006),
phiZlocal = cms.double(1e-05),
dXlocal = cms.double(0.006),
phiYlocal = cms.double(1e-05)
),
distribution = cms.string('gaussian')
),
TECEndcaps = cms.PSet(
scale = cms.double(1.0),
TECDisk9 = cms.PSet(
TECRing2 = cms.PSet(
TECRingsSurveyLASOnly_2D
),
TECRing1_3_4 = cms.PSet(
TECRingsSurveyLASOnly_1D
)
),
scaleError = cms.double(1.0),
TECPetals = cms.PSet(
dZlocal = cms.double(0.007),
phiXlocal = cms.double(3e-05),
dYlocal = cms.double(0.007),
phiZlocal = cms.double(3e-05),
dXlocal = cms.double(0.007),
phiYlocal = cms.double(3e-05)
),
TECDisks = cms.PSet(
dZlocal = cms.double(0.015),
phiXlocal = cms.double(1.5e-05),
dYlocal = cms.double(0.006),
phiZlocal = cms.double(1.5e-05),
dXlocal = cms.double(0.006),
phiYlocal = cms.double(1.5e-05)
),
TECDisk4_5_6 = cms.PSet(
TECRing2_3_5_6 = cms.PSet(
TECRingsSurveyLASOnly_1D
),
TECRing1_4 = cms.PSet(
TECRingsSurveyLASOnly_2D
)
),
TECDisk7_8 = cms.PSet(
TECRing3 = cms.PSet(
TECRingsSurveyLASOnly_2D
),
TECRing1_2_4_5 = cms.PSet(
TECRingsSurveyLASOnly_1D
)
),
distribution = cms.string('gaussian'),
TECDisk1_2_3 = cms.PSet(
TECRing3_4_6_7 = cms.PSet(
TECRingsSurveyLASOnly_1D
),
TECRing1_2_5 = cms.PSet(
TECRingsSurveyLASOnly_2D
)
)
),
TPEEndcaps = cms.PSet(
TPEPanels = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(0.0002),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(0.0002),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(0.0002)
),
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TPEHalfDisks = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.001),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.001)
),
TPEHalfCylinders = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.001),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.001)
),
DetUnits = cms.PSet(
dZlocal = cms.double(0.0005),
phiXlocal = cms.double(0.0001),
dYlocal = cms.double(0.0005),
phiZlocal = cms.double(0.0001),
dXlocal = cms.double(0.0005),
phiYlocal = cms.double(0.0001)
),
TPEBlades = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(0.0002),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(0.0002),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(0.0002)
),
distribution = cms.string('gaussian')
),
TIDEndcaps = cms.PSet(
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TIDEndcaps = cms.PSet(
dZlocal = cms.double(0.045),
phiXlocal = cms.double(0.000649),
dYlocal = cms.double(0.045),
phiZlocal = cms.double(0.000649),
dXlocal = cms.double(0.045),
phiYlocal = cms.double(0.000649)
),
TIDRing3 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0054),
phiXlocal = cms.double(0.00025),
dYlocal = cms.double(0.0054),
phiZlocal = cms.double(0.00025),
dXlocal = cms.double(0.0054),
phiYlocal = cms.double(0.00025)
)
),
TIDRing1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0054),
phiXlocal = cms.double(0.00025),
dYlocal = cms.double(0.0054),
phiZlocal = cms.double(0.00025),
dXlocal = cms.double(0.0054),
phiYlocal = cms.double(0.00025)
)
),
TIDDisks = cms.PSet(
dZlocal = cms.double(0.035),
phiXlocal = cms.double(0.000532),
dYlocal = cms.double(0.035),
phiZlocal = cms.double(0.000532),
dXlocal = cms.double(0.035),
phiYlocal = cms.double(0.000532)
),
distribution = cms.string('gaussian'),
TIDRings = cms.PSet(
dZlocal = cms.double(0.0185),
phiXlocal = cms.double(0.00085),
dYlocal = cms.double(0.0185),
phiZlocal = cms.double(0.00085),
dXlocal = cms.double(0.0185),
phiYlocal = cms.double(0.00085)
)
)
)
# -----------------------------------------------------------------------
# Survey&LAS&Cosmics scenario
# ----------------------------------------
# ----------------- NOTE -----------------
# Sufficient studies do not yet exist to
# provide a reliable version of this
# scenario (Survey+LAS+Cosmics alignment).
#
# This scenario is not supposed to be used
# to make public(?) estimates of the
# performance of the CMS.
#
# This scenario contains lots of guesses,
# especially concerning the improvement
# one can reach by using Cosmics in
# track based alignment.
# The guess is that with Cosmics, one
# can reach for largest barrel-like parts
# the average alignment accuracy of the
# 10pb-1 and the SurveyLASOnly scenarios.
#
# The same applies also,but to a lesser
# extent, to the 10pb-1 scenario.
# ------------- NOTE ends ----------------
# ----------------------------------------
# first helper blocks for TEC:
TECRingsSurveyLASCosmics_1D = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0022),
phiXlocal = cms.double(5e-05),
dYlocal = cms.double(0.0022),
phiZlocal = cms.double(5e-05),
dXlocal = cms.double(0.0022),
phiYlocal = cms.double(5e-05)
)
)
TECRingsSurveyLASCosmics_2D = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0022),
phiXlocal = cms.double(5e-05),
dYlocal = cms.double(0.0022),
phiZlocal = cms.double(5e-05),
dXlocal = cms.double(0.0022),
phiYlocal = cms.double(5e-05)
)
)
# now real scenario:
TrackerSurveyLASCosmicsScenario = cms.PSet(
MisalignmentScenarioSettings,
TIBHalfBarrels = cms.PSet(
TIBLayers = cms.PSet(
dZlocal = cms.double(0.0425),
phiXlocal = cms.double(0.000277),
dYlocal = cms.double(0.0425),
phiZlocal = cms.double(0.000277),
dXlocal = cms.double(0.0425),
phiYlocal = cms.double(0.000277)
),
scale = cms.double(1.0),
TIBLayer3_4 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.018),
phiXlocal = cms.double(0.000412),
dYlocal = cms.double(0.018),
phiZlocal = cms.double(0.000412),
dXlocal = cms.double(0.018),
phiYlocal = cms.double(0.000412)
)
),
scaleError = cms.double(1.0),
TIBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.018),
phiXlocal = cms.double(0.000412),
dYlocal = cms.double(0.018),
phiZlocal = cms.double(0.000412),
dXlocal = cms.double(0.018),
phiYlocal = cms.double(0.000412)
)
),
distribution = cms.string('gaussian'),
TIBStrings = cms.PSet(
dZlocal = cms.double(0.0275),
phiXlocal = cms.double(0.000179),
dYlocal = cms.double(0.0275),
phiZlocal = cms.double(0.000179),
dXlocal = cms.double(0.0275),
phiYlocal = cms.double(0.000179)
)
),
TPBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
DetUnits = cms.PSet(
dZlocal = cms.double(0.006),
phiXlocal = cms.double(0.00027),
dYlocal = cms.double(0.006),
phiZlocal = cms.double(0.00027),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.006),
phiYlocal = cms.double(0.00027)
),
TPBLayers = cms.PSet(
phiXlocal = cms.double(9e-06),
phiZlocal = cms.double(9e-06),
dZ = cms.double(0.0174),
dX = cms.double(0.0118),
dY = cms.double(0.0118),
distribution = cms.string('gaussian'),
phiYlocal = cms.double(9e-06)
),
scaleError = cms.double(1.0),
TPBLadders = cms.PSet(
dZlocal = cms.double(0.002),
phiXlocal = cms.double(9e-06),
dYlocal = cms.double(0.002),
phiZlocal = cms.double(9e-06),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.002),
phiYlocal = cms.double(9e-06)
)
),
TOBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
TOBLayer3_4_5_6 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0032),
phiXlocal = cms.double(7.5e-05),
dYlocal = cms.double(0.0032),
phiZlocal = cms.double(7.5e-05),
dXlocal = cms.double(0.0032),
phiYlocal = cms.double(7.5e-05)
)
),
scaleError = cms.double(1.0),
TOBLayers = cms.PSet(
dXlocal = cms.double(0.0),
dZlocal = cms.double(0.0),
dYlocal = cms.double(0.0)
),
TOBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0032),
phiXlocal = cms.double(7.5e-05),
dYlocal = cms.double(0.0032),
phiZlocal = cms.double(7.5e-05),
dXlocal = cms.double(0.0032),
phiYlocal = cms.double(7.5e-05)
)
),
TOBRods = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(4e-05),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(4e-05),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(4e-05)
),
TOBHalfBarrels = cms.PSet(
dZlocal = cms.double(0.03),
phiXlocal = cms.double(1e-05),
dYlocal = cms.double(0.006),
phiZlocal = cms.double(1e-05),
dXlocal = cms.double(0.006),
phiYlocal = cms.double(1e-05)
),
distribution = cms.string('gaussian')
),
TECEndcaps = cms.PSet(
scale = cms.double(1.0),
TECDisk9 = cms.PSet(
TECRing2 = cms.PSet(
TECRingsSurveyLASCosmics_2D
),
TECRing1_3_4 = cms.PSet(
TECRingsSurveyLASCosmics_1D
)
),
scaleError = cms.double(1.0),
TECPetals = cms.PSet(
dZlocal = cms.double(0.007),
phiXlocal = cms.double(3e-05),
dYlocal = cms.double(0.007),
phiZlocal = cms.double(3e-05),
dXlocal = cms.double(0.007),
phiYlocal = cms.double(3e-05)
),
TECDisks = cms.PSet(
dZlocal = cms.double(0.015),
phiXlocal = cms.double(1.5e-05),
dYlocal = cms.double(0.006),
phiZlocal = cms.double(1.5e-05),
dXlocal = cms.double(0.006),
phiYlocal = cms.double(1.5e-05)
),
TECDisk4_5_6 = cms.PSet(
TECRing2_3_5_6 = cms.PSet(
TECRingsSurveyLASCosmics_1D
),
TECRing1_4 = cms.PSet(
TECRingsSurveyLASCosmics_2D
)
),
TECDisk7_8 = cms.PSet(
TECRing3 = cms.PSet(
TECRingsSurveyLASCosmics_2D
),
TECRing1_2_4_5 = cms.PSet(
TECRingsSurveyLASCosmics_1D
)
),
distribution = cms.string('gaussian'),
TECDisk1_2_3 = cms.PSet(
TECRing3_4_6_7 = cms.PSet(
TECRingsSurveyLASCosmics_1D
),
TECRing1_2_5 = cms.PSet(
TECRingsSurveyLASCosmics_2D
)
)
),
TPEEndcaps = cms.PSet(
TPEPanels = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(0.0002),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(0.0002),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(0.0002)
),
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TPEHalfDisks = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.001),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.001)
),
TPEHalfCylinders = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.001),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.001)
),
DetUnits = cms.PSet(
dZlocal = cms.double(0.0005),
phiXlocal = cms.double(0.0001),
dYlocal = cms.double(0.0005),
phiZlocal = cms.double(0.0001),
dXlocal = cms.double(0.0005),
phiYlocal = cms.double(0.0001)
),
TPEBlades = cms.PSet(
dZlocal = cms.double(0.001),
phiXlocal = cms.double(0.0002),
dYlocal = cms.double(0.001),
phiZlocal = cms.double(0.0002),
dXlocal = cms.double(0.001),
phiYlocal = cms.double(0.0002)
),
distribution = cms.string('gaussian')
),
TIDEndcaps = cms.PSet(
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TIDEndcaps = cms.PSet(
dZlocal = cms.double(0.0225),
phiXlocal = cms.double(0.000325),
dYlocal = cms.double(0.0225),
phiZlocal = cms.double(0.000325),
dXlocal = cms.double(0.0225),
phiYlocal = cms.double(0.000325)
),
TIDRing3 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0054),
phiXlocal = cms.double(0.00025),
dYlocal = cms.double(0.0054),
phiZlocal = cms.double(0.00025),
dXlocal = cms.double(0.0054),
phiYlocal = cms.double(0.00025)
)
),
TIDRing1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0054),
phiXlocal = cms.double(0.00025),
dYlocal = cms.double(0.0054),
phiZlocal = cms.double(0.00025),
dXlocal = cms.double(0.0054),
phiYlocal = cms.double(0.00025)
)
),
TIDDisks = cms.PSet(
dZlocal = cms.double(0.03),
phiXlocal = cms.double(0.000456),
dYlocal = cms.double(0.03),
phiZlocal = cms.double(0.000456),
dXlocal = cms.double(0.03),
phiYlocal = cms.double(0.000456)
),
distribution = cms.string('gaussian'),
TIDRings = cms.PSet(
dZlocal = cms.double(0.0185),
phiXlocal = cms.double(0.00085),
dYlocal = cms.double(0.0185),
phiZlocal = cms.double(0.00085),
dXlocal = cms.double(0.0185),
phiYlocal = cms.double(0.00085)
)
)
)
# -----------------------------------------------------------------------
# TrackerNoKnowledge scenario
# ----------------------------------------
# ----------------- NOTE -----------------
# This scenario is not supposed to be used
# to make public(?) estimates of the
# performance of the CMS.
#
# This scenario contains lots of guesses,
# and is intended to be used as a stress
# test for aligning with cosmics as well
# as a initial misalignment for LAS studies
# ------------- NOTE ends ----------------
# ----------------------------------------
# first helper blocks for TEC:
TECRingsTrackerNoKnowledge_1D = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.0054),
phiXlocal = cms.double(0.0005),
dYlocal = cms.double(0.0028),
phiZlocal = cms.double(0.0003),
dXlocal = cms.double(0.0028),
phiYlocal = cms.double(0.0005)
)
)
TECRingsTrackerNoKnowledge_2D = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.0054),
phiXlocal = cms.double(0.0005),
dYlocal = cms.double(0.0028),
phiZlocal = cms.double(0.0003),
dXlocal = cms.double(0.0028),
phiYlocal = cms.double(0.0005)
)
)
# now actual scenario
TrackerNoKnowledgeScenario = cms.PSet(
MisalignmentScenarioSettings,
TIBHalfBarrels = cms.PSet(
TIBLayers = cms.PSet(
dZlocal = cms.double(0.02),
phiXlocal = cms.double(0.0006),
dYlocal = cms.double(0.04),
phiZlocal = cms.double(0.0006),
dXlocal = cms.double(0.04),
phiYlocal = cms.double(0.0006)
),
scale = cms.double(1.0),
TIBLayer3_4 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.0005),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.0005)
)
),
scaleError = cms.double(1.0),
TIBHalfShells = cms.PSet(
dZlocal = cms.double(0.015),
phiXlocal = cms.double(0.0004),
dYlocal = cms.double(0.03),
phiZlocal = cms.double(0.0004),
dXlocal = cms.double(0.03),
phiYlocal = cms.double(0.0004)
),
TIBBarrels = cms.PSet( # FIXME??
dZlocal = cms.double(0.2),
phiXlocal = cms.double(0.0017),
dYlocal = cms.double(0.2),
phiZlocal = cms.double(0.0017),
dXlocal = cms.double(0.2),
phiYlocal = cms.double(0.0017)
),
TIBHalfBarrels = cms.PSet( # FIXME??
dZlocal = cms.double(0.1),
phiXlocal = cms.double(0.0008),
dYlocal = cms.double(0.1),
phiZlocal = cms.double(0.0008),
dXlocal = cms.double(0.1),
phiYlocal = cms.double(0.0008)
),
TIBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.0005),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.0005)
)
),
distribution = cms.string('gaussian'),
TIBStrings = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(0.0004),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(0.0002),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(0.0002)
),
TIBSurfaces = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(0.0004),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(0.0002),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(0.0002)
)
),
TPBHalfBarrels = cms.PSet(
TPBHalfBarrels = cms.PSet( # FIXME??
phiXlocal = cms.double(0.0008),
phiZlocal = cms.double(0.0008),
dZ = cms.double(0.05),
dX = cms.double(0.05),
dY = cms.double(0.05),
distribution = cms.string('gaussian'),
phiYlocal = cms.double(0.0008)
),
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TPBLadders = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.0002),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(0.0002),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(0.0002)
),
DetUnits = cms.PSet(
dZlocal = cms.double(0.003),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.001),
distribution = cms.string('gaussian'),
dXlocal = cms.double(0.006),
phiYlocal = cms.double(0.001)
),
TPBLayers = cms.PSet(
phiXlocal = cms.double(0.0004),
phiZlocal = cms.double(0.0004),
dZ = cms.double(0.02),
dX = cms.double(0.02),
dY = cms.double(0.02),
distribution = cms.string('gaussian'),
phiYlocal = cms.double(0.0004)
),
TPBBarrels = cms.PSet( # FIXME??
phiXlocal = cms.double(0.003),
phiZlocal = cms.double(0.003),
dZ = cms.double(0.1),
dX = cms.double(0.1),
dY = cms.double(0.1),
distribution = cms.string('gaussian'),
phiYlocal = cms.double(0.003)
)
),
TOBHalfBarrels = cms.PSet(
scale = cms.double(1.0),
TOBBarrels = cms.PSet( # FIXME??
dZlocal = cms.double(0.1),
phiXlocal = cms.double(0.0005),
dYlocal = cms.double(0.1),
phiZlocal = cms.double(0.0005),
dXlocal = cms.double(0.1),
phiYlocal = cms.double(0.0005)
),
scaleError = cms.double(1.0),
TOBLayers = cms.PSet(
dZlocal = cms.double(0.02),
phiXlocal = cms.double(0.0001),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(0.0001),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(0.0001)
),
TOBLayer1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(0.0002),
dYlocal = cms.double(0.003),
phiZlocal = cms.double(0.0002),
dXlocal = cms.double(0.003),
phiYlocal = cms.double(0.0002)
)
),
TOBRods = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(0.0001),
dYlocal = cms.double(0.02),
phiZlocal = cms.double(0.0001),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(0.0002)
),
TOBHalfBarrels = cms.PSet( # FIXME??
dZlocal = cms.double(0.02),
phiXlocal = cms.double(0.0001),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(0.0001),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(0.0001)
),
distribution = cms.string('gaussian'),
TOBLayer3_4_5_6 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(0.0002),
dYlocal = cms.double(0.003),
phiZlocal = cms.double(0.0002),
dXlocal = cms.double(0.003),
phiYlocal = cms.double(0.0002)
)
)
),
TECEndcaps = cms.PSet(
scale = cms.double(1.0),
TECDisk9 = cms.PSet(
TECRing2 = cms.PSet(
TECRingsTrackerNoKnowledge_2D
),
TECRing1_3_4 = cms.PSet(
TECRingsTrackerNoKnowledge_1D
)
),
TECDisk1_2_3 = cms.PSet(
TECRing3_4_6_7 = cms.PSet(
TECRingsTrackerNoKnowledge_1D
),
TECRing1_2_5 = cms.PSet(
TECRingsTrackerNoKnowledge_2D
)
),
scaleError = cms.double(1.0),
TECEndcaps = cms.PSet( # FIXME??
dZlocal = cms.double(0.0316),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.05),
phiZlocal = cms.double(0.001),
dXlocal = cms.double(0.0316),
phiYlocal = cms.double(0.001)
),
TECDisk4_5_6 = cms.PSet(
TECRing2_3_5_6 = cms.PSet(
TECRingsTrackerNoKnowledge_1D
),
TECRing1_4 = cms.PSet(
TECRingsTrackerNoKnowledge_2D
)
),
TECPetals = cms.PSet(
dZlocal = cms.double(0.0158),
phiXlocal = cms.double(0.0005),
dYlocal = cms.double(0.0086),
phiZlocal = cms.double(0.0003),
dXlocal = cms.double(0.0086),
phiYlocal = cms.double(0.0005)
),
TECDisks = cms.PSet(
dZlocal = cms.double(0.0112),
phiXlocal = cms.double(0.0002),
dYlocal = cms.double(0.0206),
phiZlocal = cms.double(0.0001),
dXlocal = cms.double(0.0112),
phiYlocal = cms.double(0.0001)
),
TECDisk7_8 = cms.PSet(
TECRing3 = cms.PSet(
TECRingsTrackerNoKnowledge_2D
),
TECRing1_2_4_5 = cms.PSet(
TECRingsTrackerNoKnowledge_1D
)
),
distribution = cms.string('gaussian')
),
TPEEndcaps = cms.PSet(
TPEPanels = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.002),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(0.002),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(0.002)
),
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TPEHalfDisks = cms.PSet(
dZlocal = cms.double(0.02),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.02),
phiZlocal = cms.double(0.001),
dXlocal = cms.double(0.02),
phiYlocal = cms.double(0.001)
),
TPEEndcaps = cms.PSet( # FIXME??
dZlocal = cms.double(0.1),
phiXlocal = cms.double(0.0017),
dYlocal = cms.double(0.1),
phiZlocal = cms.double(0.0017),
dXlocal = cms.double(0.1),
phiYlocal = cms.double(0.0017)
),
TPEHalfCylinders = cms.PSet(
dZlocal = cms.double(0.05),
phiXlocal = cms.double(0.0004),
dYlocal = cms.double(0.05),
phiZlocal = cms.double(0.0004),
dXlocal = cms.double(0.05),
phiYlocal = cms.double(0.0004)
),
DetUnits = cms.PSet(
dZlocal = cms.double(0.003),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.001),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.001)
),
TPEBlades = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(0.001),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(0.001),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(0.001)
),
distribution = cms.string('gaussian')
),
TIDEndcaps = cms.PSet(
TIDSides = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.0001),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.0001),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.0001)
),
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TIDEndcaps = cms.PSet( # FIXME??
dZlocal = cms.double(0.1),
phiXlocal = cms.double(0.0013),
dYlocal = cms.double(0.1),
phiZlocal = cms.double(0.0013),
dXlocal = cms.double(0.1),
phiYlocal = cms.double(0.0013)
),
TIDRings = cms.PSet(
dZlocal = cms.double(0.01),
phiXlocal = cms.double(0.0001),
dYlocal = cms.double(0.01),
phiZlocal = cms.double(0.0001),
dXlocal = cms.double(0.01),
phiYlocal = cms.double(0.0001)
),
TIDRing1_2 = cms.PSet(
Dets = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.0005),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.0005),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.0005)
)
),
TIDDisks = cms.PSet(
dZlocal = cms.double(0.05),
phiXlocal = cms.double(0.0004),
dYlocal = cms.double(0.05),
phiZlocal = cms.double(0.0004),
dXlocal = cms.double(0.05),
phiYlocal = cms.double(0.0004)
),
distribution = cms.string('gaussian'),
TIDRing3 = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.005),
phiXlocal = cms.double(0.0005),
dYlocal = cms.double(0.005),
phiZlocal = cms.double(0.0005),
dXlocal = cms.double(0.005),
phiYlocal = cms.double(0.0005)
)
)
)
)
# -----------------------------------------------------------------------
# TrackerAfterCRAFTScenario
# ----------------------------------------
# ----------------- NOTE -----------------
# This scenario is a simple merge of scenarios above:
# It seems that after CRAFT alignment we have aligned TIB and TOB
# as good as foreseen after 100 pb^-1 (at least what concerns residuals [DMR]),
# while the rest of the tracker is at the level of the 10 pb^-1 scenario
# or even still at that of SurveyLASOnlyScenario.
# ------------- NOTE ends ----------------
# ----------------------------------------
TrackerCRAFTScenario = copy.deepcopy(Tracker10pbScenario)
TrackerCRAFTScenario.TIBHalfBarrels = copy.deepcopy(Tracker100pbScenario.TIBHalfBarrels)
TrackerCRAFTScenario.TOBHalfBarrels = copy.deepcopy(Tracker100pbScenario.TOBHalfBarrels)
TrackerCRAFTScenario.TPEEndcaps = copy.deepcopy(TrackerSurveyLASOnlyScenario.TPEEndcaps)
# -----------------------------------------------------------------------
# Pixel Tracker Only z Shifts and Rotations
# ----------------------------------------------------------------------
PixelTrackerOnlyZShift = cms.PSet(MisalignmentScenarioSettings,
TPBHalfBarrel1 = cms.PSet(distribution = cms.string('fixed'),
DetUnits = cms.PSet(dZ = cms.double(0.0015))
),
TPBHalfBarrel2 = cms.PSet(distribution = cms.string('fixed'),
DetUnits = cms.PSet(dZ = cms.double(-0.0015))
)
)
# -----------------------------------------------------------------------
# Pixel Tracker Fixed Shifts and Rotations
# ----------------------------------------------------------------------
PixelTrackerFixedShiftsAndRotations = cms.PSet(MisalignmentScenarioSettings,
TPBHalfBarrel1 = cms.PSet(distribution = cms.string('fixed'),
DetUnits = cms.PSet(dX = cms.double(0.0005),
dY = cms.double(0.0010),
dZ = cms.double(0.0015),
phiX = cms.double(30e-6),
phiY = cms.double(30e-06),
phiZ = cms.double(30e-06)
)
),
TPBHalfBarrel2 = cms.PSet(distribution = cms.string('fixed'),
DetUnits = cms.PSet(dX = cms.double(-0.0005),
dY = cms.double(-0.0010),
dZ = cms.double(-0.0015),
phiX = cms.double(-30e-6),
phiY = cms.double(-30e-06),
phiZ = cms.double(-30e-06)
)
)
)
# -----------------------------------------------------------------------
# Pixel Tracker Random Shifts and Rotations
# ----------------------------------------------------------------------
PixelTrackerDicedShiftsAndRotations = cms.PSet(MisalignmentScenarioSettings,
TPBBarrels = cms.PSet(distribution = cms.string('gaussian'),
scale = cms.double(1.0),
scaleError = cms.double(1.0),
TPBHalfBarrels = cms.PSet(distribution = cms.string('flat'),
dX = cms.double(0.0005),
dY = cms.double(0.0010),
dZ = cms.double(0.0015),
phiX = cms.double(30e-6),
phiY = cms.double(30e-06),
phiZ = cms.double(30e-06)
)
)
)
MisalignmentScenario_5mu = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.05),
dYlocal = cms.double(0.05),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.05),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.05),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.05),
dYlocal = cms.double(0.05),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.05),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.05),
),
),
)
MisalignmentScenario_10mu = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.1),
dYlocal = cms.double(0.1),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.1),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.1),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.1),
dYlocal = cms.double(0.1),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.1),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.1),
),
),
)
MisalignmentScenario_15mu = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.15),
dYlocal = cms.double(0.15),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.15),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.15),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.15),
dYlocal = cms.double(0.15),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.15),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.15),
),
),
)
MisalignmentScenario_20mu = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
)
MisalignmentScenario_20muGlobalX = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
),
),
)
MisalignmentScenario_20muLocalX = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
)
MisalignmentScenario_20muGlobalY = MisalignmentScenarioSettings.clone(
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dY = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dY = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dY = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dY = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dY = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dY = cms.double(0.2),
),
),
)
MisalignmentScenario_20muLocalY = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.2),
),
),
)
MisalignmentScenario_20muGlobalZ = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZ = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZ = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZ = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZ = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZ = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZ = cms.double(0.2),
),
),
)
MisalignmentScenario_20muLocalZ = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.2),
),
),
)
MisalignmentScenario_20muGlobalXY = MisalignmentScenarioSettings.clone(
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
),
),
)
MisalignmentScenario_20muLocalXY = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
),
),
)
MisalignmentScenario_20muGlobalXYZ = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
dZ = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
dZ = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
dZ = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
dZ = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
dZ = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
dY = cms.double(0.2),
dZ = cms.double(0.2),
),
),
)
MisalignmentScenario_20muLocalXYZ = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
dZlocal = cms.double(0.2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
dZlocal = cms.double(0.2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
dZlocal = cms.double(0.2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
dZlocal = cms.double(0.2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
dZlocal = cms.double(0.2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
dYlocal = cms.double(0.2),
dZlocal = cms.double(0.2),
),
),
)
MisalignmentScenario_BPIX20muGlobalX = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dX = cms.double(0.2),
),
),
)
MisalignmentScenario_BPIX20muGlobalY = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dY = cms.double(0.2),
),
),
)
MisalignmentScenario_BPIX20muGlobalZ = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZ = cms.double(0.2),
),
),
)
MisalignmentScenario_BPIX20muLocalX = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.2),
),
),
)
MisalignmentScenario_BPIX20muLocalY = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.2),
),
),
)
MisalignmentScenario_BPIX20muLocalZ = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.2),
),
),
)
MisalignmentScenario_NonMisalignedBPIX = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
#~ dYLocal = cms.double(0.1),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.25),
dYlocal = cms.double(0.25),
dZlocal = cms.double(0.25),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.25),
dYlocal = cms.double(0.25),
dZlocal = cms.double(0.25),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.25),
dYlocal = cms.double(0.25),
dZlocal = cms.double(0.25),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.25),
dYlocal = cms.double(0.25),
dZlocal = cms.double(0.25),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.25),
dYlocal = cms.double(0.25),
dZlocal = cms.double(0.25),
),
),
)
MisalignmentScenarioDifferentSubdetectors = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
#~ dYLocal = cms.double(0.1),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.5),
dZlocal = cms.double(0.5),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.05),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.4),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.1),
dYlocal = cms.double(0.5),
dZlocal = cms.double(0.5),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.3),
),
),
)
MisalignmentScenarioDifferentSubdetectorsLarge = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
#~ dYLocal = cms.double(0.1),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.5),
dZlocal = cms.double(0.5),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.25),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.4),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.15),
dYlocal = cms.double(0.5),
dZlocal = cms.double(0.5),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.3),
),
),
)
MisalignmentScenarioDifferentSubdetectorsLocal = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
#~ scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.001),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(0.002),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
phiYlocal = cms.double(0.01),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.002),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
phiXlocal = cms.double(0.02),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
phiZlocal = cms.double(0.01),
),
),
)
MisalignmentScenario10Mu = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.1),
dXlocal = cms.double(0.1),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.1),
dXlocal = cms.double(0.1),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.1),
dXlocal = cms.double(0.1),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.1),
dXlocal = cms.double(0.1),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.1),
dXlocal = cms.double(0.1),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dYlocal = cms.double(0.1),
dXlocal = cms.double(0.1),
),
),
)
MisalignmentScenario100Mu = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
),
),
)
MisalignmentScenario200Mu = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01),# shifts in 100mum
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(2),
dYlocal = cms.double(2),
dXlocal = cms.double(2),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(2),
dYlocal = cms.double(2),
dXlocal = cms.double(2),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(2),
dYlocal = cms.double(2),
dXlocal = cms.double(2),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(2),
dYlocal = cms.double(2),
dXlocal = cms.double(2),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(2),
dYlocal = cms.double(2),
dXlocal = cms.double(2),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(2),
dYlocal = cms.double(2),
dXlocal = cms.double(2),
),
),
)
MisalignmentScenario300Mu = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01),# shifts in 100mum
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(3),
dYlocal = cms.double(3),
dXlocal = cms.double(3),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(3),
dYlocal = cms.double(3),
dXlocal = cms.double(3),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(3),
dYlocal = cms.double(3),
dXlocal = cms.double(3),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(3),
dYlocal = cms.double(3),
dXlocal = cms.double(3),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(3),
dYlocal = cms.double(3),
dXlocal = cms.double(3),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(3),
dYlocal = cms.double(3),
dXlocal = cms.double(3),
),
),
)
MisalignmentScenarioBPIX100Mu = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01),# shifts in 100mum
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
),
),
)
MisalignedTPB = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
)
)
)
MisalignedTPE = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
)
)
)
MisalignedTIB = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
)
)
)
MisalignedTOB = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
)
)
)
MisalignedTID = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
)
)
)
MisalignedTEC = MisalignmentScenarioSettings.clone(
setError = cms.bool(False),
scale = cms.double(0.01), # shifts in 100um
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(1),
dYlocal = cms.double(1),
dXlocal = cms.double(1),
)
)
)
MisalignmentAPEScenarioBase = MisalignmentScenarioSettings.clone(
# Sigma in mum
# BPIX: 20
# BPIX-y: 10
# FPIX: 10
# FPIX-y: 20
# TEC: 20
# TIB: 10
# TID: 10
# TOB: 10
setError = cms.bool(False),
scale = cms.double(0.0001), # shifts in 1um
TPBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(20),
dYlocal = cms.double(10),
dXlocal = cms.double(20),
),
),
TIBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(10),
dYlocal = cms.double(10),
dXlocal = cms.double(10),
),
),
TOBHalfBarrels = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(10),
dYlocal = cms.double(10),
dXlocal = cms.double(10),
),
),
TPEEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(20),
dYlocal = cms.double(20),
dXlocal = cms.double(10),
),
),
TIDEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(10),
dYlocal = cms.double(10),
dXlocal = cms.double(10),
),
),
TECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dZlocal = cms.double(20),
dYlocal = cms.double(20),
dXlocal = cms.double(20),
),
),
)
MisalignmentScenario_PhaseI_PseudoAsymptotic = MisalignmentScenarioSettings.clone(
# This scenarios was created to get a phase-1 scenario with similar
# performance as the phase-0 asymptotic scenario by applying the RMS values
# from the phase-0 pixel as gaussian smearing to the phase-1 pixel.
# The values are documented here:
# https://twiki.cern.ch/twiki/bin/view/CMS/TkAlPhaseIPreparations#Pseudo_asymptotic_scenario
# --> Gaussian distribution from 'MisalignmentScenarioSettings'
setError = cms.bool(False),
scale = cms.double(0.0001), # shifts in 1um
P1PXBBarrels = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(0.854365),
dYlocal = cms.double(1.20877),
dZlocal = cms.double(1.52849),
phiXlocal = cms.double(0.139737), # 0.139737 * 0.0001 = 0.0000139737 rad -> 0.0008006 degree
phiYlocal = cms.double(0.100908),
phiZlocal = cms.double(0.980077),
),
),
P1PXECEndcaps = cms.PSet(
DetUnits = cms.PSet(
dXlocal = cms.double(3.73954),
dYlocal = cms.double(4.79800),
dZlocal = cms.double(6.0599),
phiXlocal = cms.double(3.52428),
phiYlocal = cms.double(3.17239),
phiZlocal = cms.double(1.73939),
),
),
)
| 30.600058
| 129
| 0.511615
| 11,218
| 105,509
| 4.78062
| 0.048226
| 0.241157
| 0.187212
| 0.069738
| 0.84486
| 0.818811
| 0.805068
| 0.790375
| 0.773667
| 0.72748
| 0
| 0.093702
| 0.345866
| 105,509
| 3,447
| 130
| 30.608935
| 0.683339
| 0.069188
| 0
| 0.835348
| 0
| 0
| 0.005115
| 0
| 0
| 0
| 0
| 0.00029
| 0
| 1
| 0.000327
| false
| 0
| 0.000653
| 0
| 0.001307
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
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