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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95ba6ec964da8e4fcf2344741431614d2e3d0148
| 12,429
|
py
|
Python
|
rbnf/core/parser_algo/for_atom.py
|
thautwarm/Ruiko
|
cceec88c90f7ec95c160cfda01bfc532610985e0
|
[
"MIT"
] | 44
|
2018-06-08T04:52:02.000Z
|
2021-08-06T04:59:56.000Z
|
rbnf/core/parser_algo/for_atom.py
|
thautwarm/Ruiko
|
cceec88c90f7ec95c160cfda01bfc532610985e0
|
[
"MIT"
] | 2
|
2018-06-21T14:42:27.000Z
|
2018-12-10T06:15:46.000Z
|
rbnf/core/parser_algo/for_atom.py
|
thautwarm/Ruiko
|
cceec88c90f7ec95c160cfda01bfc532610985e0
|
[
"MIT"
] | 2
|
2018-06-18T10:43:20.000Z
|
2019-05-06T13:51:51.000Z
|
from ..ParserC import Composed, Atom, Parser, LRFunc
from ..Tokenizer import Tokenizer
from ..State import State
from ..Result import *
from ..AST import *
from Redy.Opt import feature, constexpr, const, goto, label
from typing import Sequence, List
staging = (const, constexpr)
@Atom.match.case(Atom.Any)
def _any_match(_, tokenizers, state):
try:
token = tokenizers[state.end_index]
except IndexError:
return Result.mismatched
state.new_one()
return Result.match(token)
@Atom.as_fixed.case(Atom.Any)
def as_fixed(self, _):
@feature(staging)
def any_match(tokenizers, state):
try:
token = tokenizers[state.end_index]
except IndexError:
return constexpr[Result.mismatched]
state.new_one()
return constexpr[Result.match](token)
self.match = any_match
@Atom.match.case(Atom.Bind)
def _bind_match(self: Atom, tokenizers, state):
_, name, parser = self
result = parser.match(tokenizers, state)
if result.status is FindLR:
lr_parser, stacked_func = result.value
def stacked_func_(ast):
stacked_result = stacked_func(ast)
if stacked_result.status is Matched:
state.ctx = state.ctx.copy()
state.ctx[name] = stacked_result.value
return stacked_result
return Result.find_lr(lr_parser, stacked_func_)
elif result.status is Matched:
ctx = state.ctx = state.ctx.copy()
ctx[name] = result.value
return result
@Atom.as_fixed.case(Atom.Bind)
def as_fixed(self, lang):
_, name_, parser_ = self
parser_.as_fixed(lang)
@feature(staging)
def bind_match(tokenizers, state):
name: const = name_
match: const = parser_.match
result = match(tokenizers, state)
if result.status is constexpr[FindLR]:
lr_parser, stacked_func = result.value
def stacked_func_(ast):
stacked_result = stacked_func(ast)
if stacked_result.status is Matched:
state.ctx = state.ctx.copy()
state.ctx[name] = stacked_result.value
return stacked_result
return constexpr[Result.find_lr](lr_parser, stacked_func_)
elif result.status is constexpr[Matched]:
ctx = state.ctx = state.ctx.copy()
ctx[name] = result.value
return result
self.match = bind_match
return self
@Atom.match.case(Atom.Push)
def _push_match(self: Atom, tokenizers: Sequence[Tokenizer], state: State):
_, name, parser = self
result = parser.match(tokenizers, state)
if result.status is FindLR:
lr_parser, stacked_func = result.value
def stacked_func_(ast: AST):
stacked_result = stacked_func(ast)
if stacked_result.status is Matched:
state.ctx = state.ctx.copy()
try:
state.ctx[name].append(stacked_result.value)
except KeyError:
state.ctx[name] = [stacked_result.value]
return stacked_result
return Result.find_lr(lr_parser, stacked_func_)
elif result.status is Matched:
ctx = state.ctx = state.ctx.copy()
try:
ctx[name].append(result.value)
except KeyError:
ctx[name] = [result.value]
return result
@Atom.as_fixed.case(Atom.Push)
def as_fixed(self, lang):
_, name_, parser_ = self
parser_.as_fixed(lang)
@feature(staging)
def push_match(tokenizers, state):
name: const = name_
match: const = parser_.match
result = match(tokenizers, state)
if result.status is constexpr[FindLR]:
lr_parser, stacked_func = result.value
def stacked_func_(ast):
stacked_result = stacked_func(ast)
if stacked_result.status is Matched:
state.ctx = state.ctx.copy()
try:
state.ctx[name].append(stacked_result.value)
except KeyError:
state.ctx[name] = [stacked_result.value]
return stacked_result
return constexpr[Result.find_lr](lr_parser, stacked_func_)
elif result.status is constexpr[Matched]:
ctx = state.ctx = state.ctx.copy()
try:
ctx[name].append(result.value)
except constexpr[KeyError]:
ctx[name] = [result.value]
return result
self.match = push_match
return self
@Atom.match.case(Atom.Named)
def _named_match(self, tokenizers, state):
_, name = self
lang = state.lang
parser, when, with_, rewrite = lang[name]
if when and not when(tokenizers, state):
return Result.mismatched
lr_marker = (state.end_index, name)
if name in state:
if lr_marker in state.lr:
return Result.mismatched
def stacked_func(ast):
return Result(Matched, ast)
return Result.find_lr(self, stacked_func)
with state.leave_with_context_recovery():
state.append(name)
state.ctx = {}
history = state.commit()
result = parser.match(tokenizers, state)
if result.status is Matched:
if with_ and not with_(tokenizers, state):
return Result.mismatched
return Result(
Matched,
rewrite(state) if rewrite else Named(name, result.value))
elif result.status is FindLR:
parser_obj, stacked_func = result.value
if parser_obj is not self:
def stacked_func_(ast: AST):
stacked_result = stacked_func(ast)
if stacked_result.status is Matched:
return Result.match(
rewrite(state) if rewrite else Named(
name, stacked_result.value))
return stacked_result
return Result.find_lr(parser_obj, stacked_func_)
else:
return Result.mismatched
# find lr and state.lr_name is name
with state.left_recursion(lr_marker):
state.reset(history)
original_ctx = state.ctx.copy()
result: Result = parser.match(tokenizers, state)
if result.status is Unmatched:
return result
if with_ and not with_(tokenizers, state):
return Result.mismatched
head: Named = rewrite(state) if rewrite else Named(
name, result.value)
while True:
with state.leave_with_context_recovery():
state.ctx = original_ctx.copy()
res = stacked_func(head)
if res.status is Unmatched:
break
head = rewrite(state) if rewrite else Named(
name, res.value)
result.value = head
return result
@Atom.as_fixed.case(Atom.Named)
def as_fixed(self, lang):
_, name_ = self
parser_, when_, with__, rewrite_ = lang[name_]
parser_.as_fixed(lang)
@feature(staging)
def name_match(tokenizers, state: State):
when: const = when_
self_: const = self
with_: const = with__
name: const = name_
rewrite: const = rewrite_
mismatched: const = Result.mismatched
match: const = parser_.match
if constexpr[when]:
if not when(tokenizers, state):
return mismatched
lr_marker = (state.end_index, name)
if name in state:
if lr_marker in state.lr:
return mismatched
def stacked_func(ast):
return Result(Matched, ast)
return constexpr[Result.find_lr](self_, stacked_func)
with state.leave_with_context_recovery():
state.append(name)
state.ctx = {}
history = state.commit()
result = match(tokenizers, state)
if result.status is constexpr[Matched]:
if constexpr[with_]:
if not with_(tokenizers, state):
return mismatched
return constexpr[Result](
constexpr[Matched], rewrite(state) if constexpr[rewrite]
else constexpr[Named](name, result.value))
elif result.status is constexpr[FindLR]:
lr_parser, stacked_func = result.value
if lr_parser is not self_:
if constexpr[rewrite]:
def stacked_func_(ast: AST):
stacked_result = stacked_func(ast)
if stacked_result.status is Matched:
return Result.match(rewrite(state))
return stacked_result
else:
def stacked_func_(ast: AST):
stacked_result = stacked_func(ast)
if stacked_result.status is Matched:
return Result.match(
Named(name, stacked_result.value))
return stacked_result
return constexpr[Result.find_lr](lr_parser, stacked_func_)
else:
return mismatched
# find lr and state.lr_name is name
with state.left_recursion(lr_marker):
state.reset(history)
original_ctx = state.ctx.copy()
result = match(tokenizers, state)
if result.status is constexpr[Unmatched]:
return result
if constexpr[with_]:
if not with_(tokenizers, state):
return mismatched
head = rewrite(
state) if constexpr[rewrite] else constexpr[Named](
name, result.value)
while True:
with state.leave_with_context_recovery():
state.ctx = original_ctx.copy()
res = stacked_func(head)
if res.status is constexpr[Unmatched]:
break
head = rewrite(
state) if constexpr[rewrite] else constexpr[Named](
name, res.value)
result.value = head
return result
self.match = name_match
@Atom.as_fixed.case(Atom.Guard)
def _guard_as_fixed(self, lang):
@feature(staging)
def _guard_match(tokenizers: Sequence[Tokenizer], state: State) -> Result:
match: const = self[1].match
predicate: const = self[2]
result = match(tokenizers, state)
status = result.status
if status is constexpr[Matched]:
if not predicate(result.value, state):
return constexpr[Result.mismatched]
return result
elif status is Unmatched:
return result
lr_parser, stacked_fn_ = result.value
predicate_ = predicate
matched = Matched
mismatched = Result.mismatched
def stacked_fn(ast):
result = stacked_fn_(ast)
if result.status is not matched or not predicate_(
result.value, state):
return mismatched
return result
return constexpr[Result.find_lr](lr_parser, stacked_fn)
return _guard_match
@Atom.match.case(Atom.Guard)
def _guard_match(self, tokenizers: Sequence[Tokenizer],
state: State) -> Result:
result = self[1].match(tokenizers, state)
status = result.status
if status is Matched:
if not self[2](result.value, state):
return Result.mismatched
return result
elif status is Unmatched:
return result
lr_parser, stacked_fn_ = result.value
def stacked_fn(ast: AST):
result = stacked_fn_(ast)
if result.status is not Matched or not self[2](result.value, state):
return Result.mismatched
return result
return Result.find_lr(lr_parser, stacked_fn)
@Atom.as_fixed.case(None)
def do_nothing(self, lang):
pass
| 30.764851
| 79
| 0.565291
| 1,348
| 12,429
| 5.040059
| 0.069733
| 0.060053
| 0.047395
| 0.02355
| 0.824257
| 0.782602
| 0.732411
| 0.706653
| 0.691492
| 0.6204
| 0
| 0.000625
| 0.356585
| 12,429
| 403
| 80
| 30.841191
| 0.848943
| 0.005391
| 0
| 0.672131
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.088525
| false
| 0.003279
| 0.022951
| 0.006557
| 0.304918
| 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
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
95f1fe0019b672e234542bcf13339869b178fc79
| 24
|
py
|
Python
|
amalgkit/__init__.py
|
kfuku52/amalgk
|
aae10f9590cb37eac357dc1b6c1d93be2a44d0d2
|
[
"BSD-3-Clause"
] | 3
|
2019-10-22T08:06:03.000Z
|
2021-11-29T01:44:18.000Z
|
amalgkit/__init__.py
|
kfuku52/amalgk
|
aae10f9590cb37eac357dc1b6c1d93be2a44d0d2
|
[
"BSD-3-Clause"
] | 91
|
2019-04-04T12:12:27.000Z
|
2022-03-11T13:14:43.000Z
|
amalgkit/__init__.py
|
kfuku52/amalgk
|
aae10f9590cb37eac357dc1b6c1d93be2a44d0d2
|
[
"BSD-3-Clause"
] | 1
|
2021-11-24T13:55:49.000Z
|
2021-11-24T13:55:49.000Z
|
__version__ = '0.6.4.12'
| 24
| 24
| 0.666667
| 5
| 24
| 2.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.227273
| 0.083333
| 24
| 1
| 24
| 24
| 0.318182
| 0
| 0
| 0
| 0
| 0
| 0.32
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
25135e0bc8e659cdbe63c01b10813387c0498960
| 282
|
py
|
Python
|
python/anyascii/_data/_2b0.py
|
casept/anyascii
|
d4f426b91751254b68eaa84c6cd23099edd668e6
|
[
"ISC"
] | null | null | null |
python/anyascii/_data/_2b0.py
|
casept/anyascii
|
d4f426b91751254b68eaa84c6cd23099edd668e6
|
[
"ISC"
] | null | null | null |
python/anyascii/_data/_2b0.py
|
casept/anyascii
|
d4f426b91751254b68eaa84c6cd23099edd668e6
|
[
"ISC"
] | null | null | null |
b=' Shi Min Jian Chu Dang Ba Zhuan Li Wu Wei Shuang Min Gui Fei Ai Su Sa Jiu Kou'
| 282
| 282
| 0.20922
| 20
| 282
| 2.95
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.780142
| 282
| 1
| 282
| 282
| 0.951613
| 0
| 0
| 0
| 0
| 0
| 0.982332
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2528940931640539cbcda0608b0e324519dbdba6
| 129
|
py
|
Python
|
Obiora_Fortune/Phase1/Python Basic 1/Task2.py
|
CodedLadiesInnovateTech/-python-challenge-solutions
|
430cd3eb84a2905a286819eef384ee484d8eb9e7
|
[
"MIT"
] | 6
|
2020-05-23T19:53:25.000Z
|
2021-05-08T20:21:30.000Z
|
Obiora_Fortune/Phase1/Python Basic 1/Task2.py
|
CodedLadiesInnovateTech/-python-challenge-solutions
|
430cd3eb84a2905a286819eef384ee484d8eb9e7
|
[
"MIT"
] | 8
|
2020-05-14T18:53:12.000Z
|
2020-07-03T00:06:20.000Z
|
Obiora_Fortune/Phase1/Python Basic 1/Task2.py
|
CodedLadiesInnovateTech/-python-challenge-solutions
|
430cd3eb84a2905a286819eef384ee484d8eb9e7
|
[
"MIT"
] | 39
|
2020-05-10T20:55:02.000Z
|
2020-09-12T17:40:59.000Z
|
'''
2. Write a Python program to get the Python version you are using
Tools: sys module
'''
#2
import sys
print(sys.version)
| 16.125
| 65
| 0.705426
| 22
| 129
| 4.136364
| 0.772727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019417
| 0.20155
| 129
| 8
| 66
| 16.125
| 0.864078
| 0.689922
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 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
| 0
| 1
|
0
| 5
|
c2669ef97b9535d329b8261deb940b094031d909
| 137
|
py
|
Python
|
run.py
|
earthza001/hack-Facebook-through-the-loophole
|
f81113f577e849c4f76f5015a6f95bef9ac38201
|
[
"Unlicense"
] | null | null | null |
run.py
|
earthza001/hack-Facebook-through-the-loophole
|
f81113f577e849c4f76f5015a6f95bef9ac38201
|
[
"Unlicense"
] | null | null | null |
run.py
|
earthza001/hack-Facebook-through-the-loophole
|
f81113f577e849c4f76f5015a6f95bef9ac38201
|
[
"Unlicense"
] | null | null | null |
import os
print ("กำลังค้นหาช่องโหว่.....")
os.system("wget https://google.com")
os.system("clear")
time.sleep(7)
os.system(clear)
| 19.571429
| 36
| 0.649635
| 28
| 137
| 3.357143
| 0.75
| 0.255319
| 0.276596
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008197
| 0.109489
| 137
| 6
| 37
| 22.833333
| 0.721311
| 0
| 0
| 0
| 0
| 0
| 0.372263
| 0.167883
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.166667
| null | null | 0.166667
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c2775cb35ba3f4f16401c150f17f17831e17093c
| 214
|
py
|
Python
|
geospacepy/__init__.py
|
rmcgranaghan/geospacepy-lite
|
9fe60d312fd88bc184b4ed7a358f6f069be02f3b
|
[
"MIT"
] | null | null | null |
geospacepy/__init__.py
|
rmcgranaghan/geospacepy-lite
|
9fe60d312fd88bc184b4ed7a358f6f069be02f3b
|
[
"MIT"
] | null | null | null |
geospacepy/__init__.py
|
rmcgranaghan/geospacepy-lite
|
9fe60d312fd88bc184b4ed7a358f6f069be02f3b
|
[
"MIT"
] | null | null | null |
"""
Geospacepy init file
"""
#import yaml,pkg_resources
#config_file_as_str = pkg_resources.resource_string(__name__,'geospacepy_config')
from geospacepy import geospacepy_config
config = geospacepy_config.config
| 23.777778
| 81
| 0.831776
| 27
| 214
| 6.111111
| 0.518519
| 0.290909
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084112
| 214
| 8
| 82
| 26.75
| 0.841837
| 0.588785
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
c293a387c96cbbeced31fc20445df6d57f9290e4
| 11,016
|
py
|
Python
|
mypeople.py
|
MatheusMatozo/Library-software-01
|
9b6f745226bec25de4563d2fe9d9f378e0530a8d
|
[
"MIT"
] | null | null | null |
mypeople.py
|
MatheusMatozo/Library-software-01
|
9b6f745226bec25de4563d2fe9d9f378e0530a8d
|
[
"MIT"
] | null | null | null |
mypeople.py
|
MatheusMatozo/Library-software-01
|
9b6f745226bec25de4563d2fe9d9f378e0530a8d
|
[
"MIT"
] | null | null | null |
from tkinter import *
import sqlite3
import addpeople
from tkinter import messagebox
con=sqlite3.connect('database.db')
cur = con.cursor()
class MyPoeple(Toplevel):
def __init__(self):
Toplevel.__init__(self)
self.geometry("650x650+620+200")
self.title("My Poeple")
self.resizable(False,False)
# Frames
self.top = Frame(self, height=150, bg='white')
self.top.pack(fill=X)
self.bottomFrame = Frame(self, height=500, bg='#fcc324')
self.bottomFrame.pack(fill=X)
# Heading, image and date
self.top_image = PhotoImage(file='icons/person_icon.png')
self.top_image_lbl = Label(self.top, image=self.top_image, bg='white')
self.top_image_lbl.place(x=120, y=10)
self.heading = Label(self.top, text='My Persons', font='arial 15 bold',
fg='#003f8a', bg='white')
self.heading.place(x=260, y=60)
#ScrollBar
self.sb=Scrollbar(self.bottomFrame,orient=VERTICAL)
#listbox
self.listBox=Listbox(self.bottomFrame,width=60,height=31)
self.listBox.grid(row=0, column=0,padx=(40,0))
self.sb.config(command= self.listBox.yview)
self.listBox.config(yscrollcommand=self.sb.set)
self.sb.grid(row=0,column=1,sticky=N+S)
persons=cur.execute("SELECT * FROM persons").fetchall()
print(persons)
count=0
for person in persons:
self.listBox.insert(count,str(person[0])+"-"+person[1]+" "+person[2])
count +=1
#Buttons
btnadd=Button(self.bottomFrame,text='Add',width=12,font='Sans 12 bold',command=self.funcaddPeople)
btnadd.grid(row=0,column=2,sticky=N,padx=10,pady=10)
btnupdate = Button(self.bottomFrame, text='Update', width=12, font='Sans 12 bold',
command=self.funcUpdatePerson)
btnupdate.grid(row=0, column=2, sticky=N, padx=10, pady=50)
btndisplay = Button(self.bottomFrame, text='Display', width=12, font='Sans 12 bold',
command=self.funcDisplayPerson)
btndisplay.grid(row=0, column=2, sticky=N, padx=10, pady=90)
btndelete = Button(self.bottomFrame, text='Delete', width=12, font='Sans 12 bold',
command=self.funcDeletePerson)
btndelete.grid(row=0, column=2, sticky=N, padx=10, pady=130)
def funcaddPeople(self):
addpage=addpeople.AddPeople()
self.destroy()
def funcUpdatePerson(self):
global person_id
selected_item=self.listBox.curselection()
person=self.listBox.get(selected_item)
person_id=person.split("-")[0]
updatepage=Update()
def funcDisplayPerson(self):
global person_id
selected_item = self.listBox.curselection()
person= self.listBox.get(selected_item)
person_id=person.split("-")[0]
displaypage=Display()
self.destroy()
def funcDeletePerson(self):
selected_item=self.listBox.curselection()
person=self.listBox.get(selected_item)
person_id=person.split("-")[0]
mbox= messagebox.askquestion("Warning","Are you sure to delete this person",icon='warning')
if mbox == 'yes':
try:
cur.execute("DELETE FROM persons WHERE person_id=?", (person_id,))
con.commit()
messagebox.showinfo("Success","Person has been deleted!")
self.destroy()
except:
messagebox.showinfo("Info","Person has not been deleted!")
class Update(Toplevel):
def __init__(self):
Toplevel.__init__(self)
self.geometry("650x750+550+200")
self.title("Update Person")
self.resizable(False,False)
#get person from database
global person_id
person=cur.execute("SELECT * FROM persons WHERE person_id =?",(person_id,))
person_info = person.fetchall()
print(person_info)
self.person_id=person_info[0][0]
self.person_name=person_info[0][1]
self.person_surname=person_info[0][2]
self.person_email=person_info[0][3]
self.person_phone=person_info[0][4]
self.person_address=person_info[0][5]
# Frames
self.top = Frame(self, height=150, bg='white')
self.top.pack(fill=X)
self.bottomFrame = Frame(self, height=600, bg='#fcc324')
self.bottomFrame.pack(fill=X)
# Heading, image and date
self.top_image = PhotoImage(file='icons/addperson.png')
self.top_image_lbl = Label(self.top, image=self.top_image, bg='white')
self.top_image_lbl.place(x=120, y=10)
self.heading = Label(self.top, text='My Persons', font='arial 15 bold',
fg='#003f8a', bg='white')
self.heading.place(x=260, y=60)
##############################################################################
# labels and entries
# name
self.lbl_name = Label(self.bottomFrame, text='Name', font='arial 15 bold', fg='white', bg='#fcc324')
self.lbl_name.place(x=40, y=40)
self.ent_name = Entry(self.bottomFrame, width=30, bd=4)
self.ent_name.insert(0, self.person_name)
self.ent_name.place(x=150, y=45)
# Surname
self.lbl_surname = Label(self.bottomFrame, text='Surname', font='arial 15 bold', fg='white', bg='#fcc324')
self.lbl_surname.place(x=40, y=80)
self.ent_surname = Entry(self.bottomFrame, width=30, bd=4)
self.ent_surname.insert(0, self.person_surname)
self.ent_surname.place(x=150, y=85)
# email
self.lbl_email = Label(self.bottomFrame, text='Email', font='arial 15 bold', fg='white', bg='#fcc324')
self.lbl_email.place(x=40, y=120)
self.ent_email = Entry(self.bottomFrame, width=30, bd=4)
self.ent_email.insert(0, self.person_email)
self.ent_email.place(x=150, y=125)
# Phone Number
self.lbl_phone = Label(self.bottomFrame, text='Phone', font='arial 15 bold', fg='white', bg='#fcc324')
self.lbl_phone.place(x=40, y=160)
self.ent_phone = Entry(self.bottomFrame, width=30, bd=4)
self.ent_phone.insert(0, self.person_phone)
self.ent_phone.place(x=150, y=165)
# Address
self.lbl_address = Label(self.bottomFrame, text='Address', font='arial 15 bold',
fg='white', bg='#fcc324')
self.lbl_address.place(x=40, y=300)
self.address = Text(self.bottomFrame, width=23, height=15, wrap=WORD)
self.address.insert('1.0',self.person_address)
self.address.place(x=150, y=200)
# Button
button = Button(self.bottomFrame, text='Update Person',command=self.updatePerson)
button.place(x=270, y=460)
self.lift()
def updatePerson(self):
person_id=self.person_id
person_name=self.ent_name.get()
person_surname=self.ent_surname.get()
person_email = self.ent_email.get()
person_phone = self.ent_phone.get()
person_address = self.address.get(1.0,'end-1c')
try:
query= "UPDATE persons set person_name =?, person_surname=?, person_email=?, person_phone=?, person_address =? WHERE person_id=?"
cur.execute(query,(person_name,person_surname,person_email,person_phone,person_address,person_id))
con.commit()
messagebox.showinfo("Success","Person has been updated")
self.destroy()
except:
messagebox.showinfo("Warning", "Person has not been updated",icon='warning')
class Display(Toplevel):
def __init__(self):
Toplevel.__init__(self)
self.geometry("650x750+550+200")
self.title("Display Person")
self.resizable(False,False)
# get person from database
global person_id
person = cur.execute("SELECT * FROM persons WHERE person_id =?", (person_id,))
person_info = person.fetchall()
print(person_info)
self.person_id = person_info[0][0]
self.person_name = person_info[0][1]
self.person_surname = person_info[0][2]
self.person_email = person_info[0][3]
self.person_phone = person_info[0][4]
self.person_address = person_info[0][5]
# Frames
self.top = Frame(self, height=150, bg='white')
self.top.pack(fill=X)
self.bottomFrame = Frame(self, height=600, bg='#fcc324')
self.bottomFrame.pack(fill=X)
# Heading, image and date
self.top_image = PhotoImage(file='icons/addperson.png')
self.top_image_lbl = Label(self.top, image=self.top_image, bg='white')
self.top_image_lbl.place(x=120, y=10)
self.heading = Label(self.top, text='My Persons', font='arial 15 bold',
fg='#003f8a', bg='white')
self.heading.place(x=260, y=60)
##############################################################################
# labels and entries
# name
self.lbl_name = Label(self.bottomFrame, text='Name', font='arial 15 bold', fg='white', bg='#fcc324')
self.lbl_name.place(x=40, y=40)
self.ent_name = Entry(self.bottomFrame, width=30, bd=4)
self.ent_name.insert(0, self.person_name)
self.ent_name.config(state='disabled')
self.ent_name.place(x=150, y=45)
# Surname
self.lbl_surname = Label(self.bottomFrame, text='Surname', font='arial 15 bold', fg='white', bg='#fcc324')
self.lbl_surname.place(x=40, y=80)
self.ent_surname = Entry(self.bottomFrame, width=30, bd=4)
self.ent_surname.insert(0, self.person_surname)
self.ent_surname.config(state='disabled')
self.ent_surname.place(x=150, y=85)
# email
self.lbl_email = Label(self.bottomFrame, text='Email', font='arial 15 bold', fg='white', bg='#fcc324')
self.lbl_email.place(x=40, y=120)
self.ent_email = Entry(self.bottomFrame, width=30, bd=4)
self.ent_email.insert(0, self.person_email)
self.ent_email.config(state='disabled')
self.ent_email.place(x=150, y=125)
# Phone Number
self.lbl_phone = Label(self.bottomFrame, text='Phone', font='arial 15 bold', fg='white', bg='#fcc324')
self.lbl_phone.place(x=40, y=160)
self.ent_phone = Entry(self.bottomFrame, width=30, bd=4)
self.ent_phone.insert(0, self.person_phone)
self.ent_phone.config(state='disabled')
self.ent_phone.place(x=150, y=165)
# Address
self.lbl_address = Label(self.bottomFrame, text='Address', font='arial 15 bold',
fg='white', bg='#fcc324')
self.lbl_address.place(x=40, y=300)
self.address = Text(self.bottomFrame, width=23, height=15, wrap=WORD)
self.address.insert('1.0', self.person_address)
self.address.config(state='disabled')
self.address.place(x=150, y=200)
| 40.058182
| 141
| 0.608115
| 1,447
| 11,016
| 4.511403
| 0.130615
| 0.075827
| 0.027574
| 0.029871
| 0.788756
| 0.738358
| 0.738358
| 0.729013
| 0.709406
| 0.702206
| 0
| 0.048103
| 0.241376
| 11,016
| 274
| 142
| 40.20438
| 0.733038
| 0.026235
| 0
| 0.656716
| 0
| 0
| 0.113408
| 0.001991
| 0
| 0
| 0
| 0
| 0
| 1
| 0.039801
| false
| 0
| 0.019901
| 0
| 0.074627
| 0.014925
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c2a8282782b8bfb50e02fa31ee322656d45baf66
| 63
|
py
|
Python
|
happy_shop/models/__init__.py
|
xingfuggz/django-happy-shop
|
a20e4ba4cbafa0673bf9e20fdef127942a2fa94a
|
[
"MIT"
] | null | null | null |
happy_shop/models/__init__.py
|
xingfuggz/django-happy-shop
|
a20e4ba4cbafa0673bf9e20fdef127942a2fa94a
|
[
"MIT"
] | null | null | null |
happy_shop/models/__init__.py
|
xingfuggz/django-happy-shop
|
a20e4ba4cbafa0673bf9e20fdef127942a2fa94a
|
[
"MIT"
] | null | null | null |
from .models import *
from .goods import *
from .order import *
| 21
| 21
| 0.730159
| 9
| 63
| 5.111111
| 0.555556
| 0.434783
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.174603
| 63
| 3
| 22
| 21
| 0.884615
| 0
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| 0
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| true
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| null | 1
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| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
c2e20e6babf99770230957051803db2d0ee1ee07
| 201
|
py
|
Python
|
tests/custom/test_code_to_empty.py
|
arkhn/cleaning-scripts
|
ffe88598b476b2e6b53fd06e8ce6092ef0351b19
|
[
"Apache-2.0"
] | 9
|
2019-03-31T03:46:51.000Z
|
2020-05-20T13:05:06.000Z
|
tests/custom/test_code_to_empty.py
|
arkhn/cleaning-scripts
|
ffe88598b476b2e6b53fd06e8ce6092ef0351b19
|
[
"Apache-2.0"
] | 18
|
2019-09-11T09:19:45.000Z
|
2021-07-13T09:16:23.000Z
|
tests/custom/test_code_to_empty.py
|
arkhn/cleaning-scripts
|
ffe88598b476b2e6b53fd06e8ce6092ef0351b19
|
[
"Apache-2.0"
] | 2
|
2019-09-18T15:20:10.000Z
|
2021-07-25T06:46:57.000Z
|
from scripts import custom
def test_code_to_empty():
assert custom.code_to_empty("-1") is None
assert custom.code_to_empty("(sans)") is None
assert custom.code_to_empty("-2") is not None
| 25.125
| 49
| 0.726368
| 34
| 201
| 4.029412
| 0.470588
| 0.175182
| 0.321168
| 0.394161
| 0.591241
| 0.423358
| 0.423358
| 0
| 0
| 0
| 0
| 0.011905
| 0.164179
| 201
| 7
| 50
| 28.714286
| 0.803571
| 0
| 0
| 0
| 0
| 0
| 0.049751
| 0
| 0
| 0
| 0
| 0
| 0.6
| 1
| 0.2
| true
| 0
| 0.2
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 0
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c2fde775c4a09000b73fd86b431c8dade345b559
| 89
|
py
|
Python
|
flask_accepts/__init__.py
|
cafetodev/flask_accepts
|
6d3728a4008f360e0a208064f6620557d270bcdd
|
[
"BSD-3-Clause"
] | 170
|
2019-05-04T17:53:15.000Z
|
2022-03-03T21:39:59.000Z
|
flask_accepts/__init__.py
|
cafetodev/flask_accepts
|
6d3728a4008f360e0a208064f6620557d270bcdd
|
[
"BSD-3-Clause"
] | 104
|
2019-07-04T15:46:15.000Z
|
2022-01-14T19:18:12.000Z
|
flask_accepts/__init__.py
|
cafetodev/flask_accepts
|
6d3728a4008f360e0a208064f6620557d270bcdd
|
[
"BSD-3-Clause"
] | 55
|
2019-05-04T22:39:30.000Z
|
2022-01-13T16:18:13.000Z
|
from .decorators import accepts, responds # noqa
from .utils import for_swagger # noqa
| 29.666667
| 49
| 0.775281
| 12
| 89
| 5.666667
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168539
| 89
| 2
| 50
| 44.5
| 0.918919
| 0.101124
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
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| 0
| null | 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6c29557f512672b61aa24e4293816d64e408668b
| 44
|
py
|
Python
|
api/python/remote.py
|
SKKU-ESLAB/ANT
|
5b4c7bdd32224854e86525500fbc0f02616439c0
|
[
"Apache-2.0"
] | 21
|
2017-09-21T03:42:36.000Z
|
2021-10-12T06:32:27.000Z
|
api/python/remote.py
|
SKKU-ESLAB/ANT
|
5b4c7bdd32224854e86525500fbc0f02616439c0
|
[
"Apache-2.0"
] | 156
|
2017-09-21T12:36:13.000Z
|
2021-12-20T13:20:51.000Z
|
api/python/remote.py
|
SKKU-ESLAB/ANT
|
5b4c7bdd32224854e86525500fbc0f02616439c0
|
[
"Apache-2.0"
] | 24
|
2017-09-21T03:42:41.000Z
|
2021-10-12T06:36:49.000Z
|
def ANTRemoteUI():
raise NotImplemented
| 14.666667
| 24
| 0.75
| 4
| 44
| 8.25
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0.181818
| 44
| 2
| 25
| 22
| 0.916667
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| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
66649226f4038358cf5130eae373debf3d58eed9
| 583
|
py
|
Python
|
generate_assets.py
|
Kovak/YACS
|
cfb9edd27363eccb9b7f4aefd3b59074efafb979
|
[
"MIT"
] | 10
|
2015-06-18T03:27:22.000Z
|
2020-05-18T11:00:43.000Z
|
generate_assets.py
|
Kovak/YACS
|
cfb9edd27363eccb9b7f4aefd3b59074efafb979
|
[
"MIT"
] | null | null | null |
generate_assets.py
|
Kovak/YACS
|
cfb9edd27363eccb9b7f4aefd3b59074efafb979
|
[
"MIT"
] | 5
|
2016-03-10T00:05:10.000Z
|
2019-03-29T09:49:21.000Z
|
from geometry import draw_layered_regular_polygon
def generate_shield_model(radius, width):
radius_color_dict = {1: (radius, (255, 255, 255, 0)),
2: (2., (255, 255, 255, 0)),
2: (.4*width, (255, 255, 255, 125)),
3: (.1*width, (255, 255, 255, 255)),
4: (.4*width, (255, 255, 255, 125)),
5: (2.,(255, 255, 255, 0))}
return draw_layered_regular_polygon((0., 0.), 5, 32, (0, 0, 0, 0),
radius_color_dict)
| 53
| 71
| 0.439108
| 71
| 583
| 3.43662
| 0.352113
| 0.319672
| 0.258197
| 0.122951
| 0.286885
| 0.147541
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| 0.248555
| 0.406518
| 583
| 11
| 72
| 53
| 0.456647
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| 0
| 0
|
0
| 5
|
666e812232e47585198f68d51169628a66c36ff6
| 2,516
|
py
|
Python
|
xinshuo_visualization/test/image_vis/test_visualize_image_with_pts.py
|
xinshuoweng/cv_ml_tool
|
1918b9e37ec5fb8148b8a089f226a4864d67b153
|
[
"MIT"
] | 31
|
2020-03-05T12:27:21.000Z
|
2022-03-07T04:00:18.000Z
|
xinshuo_visualization/test/image_vis/test_visualize_image_with_pts.py
|
xinshuoweng/cv_ml_tool
|
1918b9e37ec5fb8148b8a089f226a4864d67b153
|
[
"MIT"
] | null | null | null |
xinshuo_visualization/test/image_vis/test_visualize_image_with_pts.py
|
xinshuoweng/cv_ml_tool
|
1918b9e37ec5fb8148b8a089f226a4864d67b153
|
[
"MIT"
] | 12
|
2020-07-06T05:06:58.000Z
|
2021-11-18T14:43:20.000Z
|
# Author: Xinshuo Weng
# email: xinshuo.weng@gmail.com
import numpy as np
from PIL import Image
import init_paths
from xinshuo_visualization import visualize_image_with_pts
def test_visualize_image_with_pts():
image_path = '../lena.png'
print('testing basic')
img = Image.open(image_path).convert('L')
pts_array = [[200, 300], [400, 400]]
visualize_image_with_pts(img, pts_array, vis=True)
print('testing basic')
img = Image.open(image_path).convert('L')
pts_array = [[200, 300, 1], [400, 400, 1]]
visualize_image_with_pts(img, pts_array, vis=True)
print('testing color index')
img = Image.open(image_path).convert('L')
pts_array = [[200, 300, 1], [400, 400, 1]]
visualize_image_with_pts(img, pts_array, color_index=1, vis=True)
print('testing pts size')
img = Image.open(image_path).convert('L')
pts_array = [[200, 300, 1], [400, 400, 1]]
visualize_image_with_pts(img, pts_array, pts_size=100, vis=True)
print('testing vis threshold')
img = Image.open(image_path).convert('L')
pts_array = [[200, 300, 0.4], [400, 400, 0.2]]
visualize_image_with_pts(img, pts_array, vis=True)
print('testing vis threshold')
img = Image.open(image_path).convert('L')
pts_array = [[200, 300, 0.4], [400, 400, 0.8]]
visualize_image_with_pts(img, pts_array, vis_threshold=0.7, vis=True)
print('testing vis threshold')
img = Image.open(image_path).convert('L')
pts_array = [[200, 300, 1], [400, 400, 0]]
visualize_image_with_pts(img, pts_array, vis_threshold=0.7, vis=True)
print('testing labels')
img = Image.open(image_path).convert('L')
pts_array = [[200, 300, 0.4], [400, 400, 0.8]]
visualize_image_with_pts(img, pts_array, label=True, vis=True)
print('testing label list')
img = Image.open(image_path).convert('L')
pts_array = [[200, 300, 0.4], [400, 400, 0.8]]
visualize_image_with_pts(img, pts_array, label_list=['2', '6'], vis=True)
print('testing label size')
img = Image.open(image_path).convert('L')
pts_array = [[200, 300, 0.4], [400, 400, 0.8]]
visualize_image_with_pts(img, pts_array, label_list=['2', '6'], label_size=100, vis=True)
print('testing a dict of pts')
img = Image.open(image_path).convert('L')
pts_array1 = [[200, 300, 0.4], [400, 400, 0.8]]
pts_array2 = [[100, 100, 0.4], [50, 50, 0.2], [150, 150, 0.6]]
pts_array = {'pts1': pts_array1, 'pts2': pts_array2}
visualize_image_with_pts(img, pts_array, label_list=['3', '6', '9', '12'], vis=True)
print('\n\nDONE! SUCCESSFUL!!\n')
if __name__ == '__main__':
test_visualize_image_with_pts()
| 34.944444
| 91
| 0.692369
| 422
| 2,516
| 3.890995
| 0.165877
| 0.107186
| 0.153471
| 0.17905
| 0.782582
| 0.722899
| 0.702801
| 0.702801
| 0.673569
| 0.648599
| 0
| 0.096671
| 0.128378
| 2,516
| 72
| 92
| 34.944444
| 0.652075
| 0.019873
| 0
| 0.509091
| 0
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| 0.107955
| 0
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| 0
| 1
| 0.018182
| false
| 0
| 0.072727
| 0
| 0.090909
| 0.218182
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| 1
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|
0
| 5
|
668593d9bf3a477f2b611516f9344b29b307cbf6
| 27
|
py
|
Python
|
Utils/__init__.py
|
mst-solar-car/kicad-bom-generator
|
2aae905056d06f3d25343a8d784049c141d05640
|
[
"MIT"
] | 3
|
2018-02-26T12:31:41.000Z
|
2020-10-10T14:14:11.000Z
|
Utils/__init__.py
|
mst-solar-car/kicad-bom-generator
|
2aae905056d06f3d25343a8d784049c141d05640
|
[
"MIT"
] | null | null | null |
Utils/__init__.py
|
mst-solar-car/kicad-bom-generator
|
2aae905056d06f3d25343a8d784049c141d05640
|
[
"MIT"
] | null | null | null |
from .string_utils import *
| 27
| 27
| 0.814815
| 4
| 27
| 5.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0.111111
| 27
| 1
| 27
| 27
| 0.875
| 0
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| true
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
66911cd21f5e749f9569cc58b621e2d971e4d9b3
| 43
|
py
|
Python
|
example_package/calculations.py
|
kevinglasson/example-package
|
5fa750850c2c060e8cfdea8aca347df094c2d18e
|
[
"MIT"
] | null | null | null |
example_package/calculations.py
|
kevinglasson/example-package
|
5fa750850c2c060e8cfdea8aca347df094c2d18e
|
[
"MIT"
] | null | null | null |
example_package/calculations.py
|
kevinglasson/example-package
|
5fa750850c2c060e8cfdea8aca347df094c2d18e
|
[
"MIT"
] | null | null | null |
def double(x: int) -> int:
return x * 2
| 21.5
| 26
| 0.55814
| 8
| 43
| 3
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032258
| 0.27907
| 43
| 2
| 27
| 21.5
| 0.741935
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
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| 0
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| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
669359d89273bdce7b720f99199951676b86af03
| 8,911
|
py
|
Python
|
kscipy/data/job/ttypes.py
|
lbn/ksci
|
53b30d2e5f0937d4040fcfd635c0642150e74388
|
[
"MIT"
] | 5
|
2021-06-22T03:39:01.000Z
|
2021-12-15T08:02:51.000Z
|
kscipy/data/job/ttypes.py
|
lbn/ksci
|
53b30d2e5f0937d4040fcfd635c0642150e74388
|
[
"MIT"
] | null | null | null |
kscipy/data/job/ttypes.py
|
lbn/ksci
|
53b30d2e5f0937d4040fcfd635c0642150e74388
|
[
"MIT"
] | 1
|
2021-06-30T14:40:06.000Z
|
2021-06-30T14:40:06.000Z
|
#
# Autogenerated by Thrift Compiler (0.14.1)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py
#
from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException
from thrift.protocol.TProtocol import TProtocolException
from thrift.TRecursive import fix_spec
import sys
from thrift.transport import TTransport
all_structs = []
class LogWrite(object):
"""
Attributes:
- job_id
- log_id
- line
"""
def __init__(self, job_id=None, log_id=None, line=None,):
self.job_id = job_id
self.log_id = log_id
self.line = line
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.job_id = iprot.readBinary()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.STRING:
self.log_id = iprot.readBinary()
else:
iprot.skip(ftype)
elif fid == 3:
if ftype == TType.STRING:
self.line = iprot.readString().decode('utf-8', errors='replace') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('LogWrite')
if self.job_id is not None:
oprot.writeFieldBegin('job_id', TType.STRING, 1)
oprot.writeBinary(self.job_id)
oprot.writeFieldEnd()
if self.log_id is not None:
oprot.writeFieldBegin('log_id', TType.STRING, 2)
oprot.writeBinary(self.log_id)
oprot.writeFieldEnd()
if self.line is not None:
oprot.writeFieldBegin('line', TType.STRING, 3)
oprot.writeString(self.line.encode('utf-8') if sys.version_info[0] == 2 else self.line)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class JobStatusUpdate(object):
"""
Attributes:
- job_id
- status
- message
"""
def __init__(self, job_id=None, status=None, message=None,):
self.job_id = job_id
self.status = status
self.message = message
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.job_id = iprot.readBinary()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.STRING:
self.status = iprot.readString().decode('utf-8', errors='replace') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 3:
if ftype == TType.STRING:
self.message = iprot.readString().decode('utf-8', errors='replace') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('JobStatusUpdate')
if self.job_id is not None:
oprot.writeFieldBegin('job_id', TType.STRING, 1)
oprot.writeBinary(self.job_id)
oprot.writeFieldEnd()
if self.status is not None:
oprot.writeFieldBegin('status', TType.STRING, 2)
oprot.writeString(self.status.encode('utf-8') if sys.version_info[0] == 2 else self.status)
oprot.writeFieldEnd()
if self.message is not None:
oprot.writeFieldBegin('message', TType.STRING, 3)
oprot.writeString(self.message.encode('utf-8') if sys.version_info[0] == 2 else self.message)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class JobDuration(object):
"""
Attributes:
- job_id
- duration
"""
def __init__(self, job_id=None, duration=None,):
self.job_id = job_id
self.duration = duration
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.job_id = iprot.readBinary()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.I32:
self.duration = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('JobDuration')
if self.job_id is not None:
oprot.writeFieldBegin('job_id', TType.STRING, 1)
oprot.writeBinary(self.job_id)
oprot.writeFieldEnd()
if self.duration is not None:
oprot.writeFieldBegin('duration', TType.I32, 2)
oprot.writeI32(self.duration)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(LogWrite)
LogWrite.thrift_spec = (
None, # 0
(1, TType.STRING, 'job_id', 'BINARY', None, ), # 1
(2, TType.STRING, 'log_id', 'BINARY', None, ), # 2
(3, TType.STRING, 'line', 'UTF8', None, ), # 3
)
all_structs.append(JobStatusUpdate)
JobStatusUpdate.thrift_spec = (
None, # 0
(1, TType.STRING, 'job_id', 'BINARY', None, ), # 1
(2, TType.STRING, 'status', 'UTF8', None, ), # 2
(3, TType.STRING, 'message', 'UTF8', None, ), # 3
)
all_structs.append(JobDuration)
JobDuration.thrift_spec = (
None, # 0
(1, TType.STRING, 'job_id', 'BINARY', None, ), # 1
(2, TType.I32, 'duration', None, None, ), # 2
)
fix_spec(all_structs)
del all_structs
| 33.626415
| 139
| 0.570755
| 1,023
| 8,911
| 4.743891
| 0.121212
| 0.027818
| 0.03709
| 0.0408
| 0.789821
| 0.753555
| 0.711313
| 0.697713
| 0.697713
| 0.69421
| 0
| 0.011466
| 0.314892
| 8,911
| 264
| 140
| 33.753788
| 0.783456
| 0.029851
| 0
| 0.720588
| 1
| 0
| 0.030186
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.102941
| false
| 0
| 0.02451
| 0.044118
| 0.230392
| 0
| 0
| 0
| 0
| null | 0
| 0
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| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
66d349ca2257569d31fef875c182fa310d3f4893
| 189
|
py
|
Python
|
lbworkflow/core/exceptions.py
|
MaxMorais/django-lb-workflow
|
80c5ee4760fb9fee40b24e03cf6095c8215a2837
|
[
"MIT"
] | 1
|
2021-12-06T00:41:30.000Z
|
2021-12-06T00:41:30.000Z
|
lbworkflow/core/exceptions.py
|
MaxMorais/django-lb-workflow
|
80c5ee4760fb9fee40b24e03cf6095c8215a2837
|
[
"MIT"
] | null | null | null |
lbworkflow/core/exceptions.py
|
MaxMorais/django-lb-workflow
|
80c5ee4760fb9fee40b24e03cf6095c8215a2837
|
[
"MIT"
] | 1
|
2021-12-06T00:42:14.000Z
|
2021-12-06T00:42:14.000Z
|
class HttpResponseException(Exception):
def __init__(self, http_response):
super(HttpResponseException, self).__init__(http_response)
self.http_response = http_response
| 37.8
| 66
| 0.761905
| 19
| 189
| 6.947368
| 0.473684
| 0.363636
| 0.242424
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15873
| 189
| 4
| 67
| 47.25
| 0.830189
| 0
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| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
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| null | 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
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| null | 0
| 0
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| 1
| 0
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| 0
| 0
| 0
| 0
|
0
| 5
|
66e5306de7c2bbac799c5c3a2ec4687e61ca2f42
| 252
|
py
|
Python
|
python/comfo/__init__.py
|
ti-mo/comfo
|
9d6e04ef0540d399243ba317f3a0a168498acd5c
|
[
"MIT"
] | 3
|
2017-11-14T11:56:01.000Z
|
2020-10-24T12:19:10.000Z
|
python/comfo/__init__.py
|
ti-mo/comfo
|
9d6e04ef0540d399243ba317f3a0a168498acd5c
|
[
"MIT"
] | null | null | null |
python/comfo/__init__.py
|
ti-mo/comfo
|
9d6e04ef0540d399243ba317f3a0a168498acd5c
|
[
"MIT"
] | null | null | null |
"""
Comfo client to be used against the Go-based comfoserver API.
Wraps the generated Twirp (protobuf) methods to make them more Pythonic.
All public methods have asyncio variants with the 'async_' prefix.
"""
from .client import Comfo # noqa: F401
| 28
| 72
| 0.761905
| 38
| 252
| 5.026316
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014354
| 0.170635
| 252
| 8
| 73
| 31.5
| 0.899522
| 0.849206
| 0
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| 1
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| true
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| null | 0
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| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
dd024955f78f14c4bbd6fcef7e38d163eee82040
| 262
|
py
|
Python
|
Solo/GUI.py
|
feiticeiro-tec/banco-team-blue
|
a5524668b0b42377787804ff00bb4aebd9b3cbf0
|
[
"MIT"
] | 3
|
2021-06-13T11:31:24.000Z
|
2021-06-15T21:51:31.000Z
|
Solo/GUI.py
|
feiticeiro-tec/banco-team-blue
|
a5524668b0b42377787804ff00bb4aebd9b3cbf0
|
[
"MIT"
] | 2
|
2021-06-12T12:55:40.000Z
|
2021-06-12T15:17:37.000Z
|
Solo/GUI.py
|
feiticeiro-tec/banco-team-blue
|
a5524668b0b42377787804ff00bb4aebd9b3cbf0
|
[
"MIT"
] | null | null | null |
#+++++++++++++++++++++++++++++++++++++++++++++++++++
# Git: @faticeiro-tec - Inst: @spell_ware
# Banco Conceitual - Back <> Controll <> Front
#+++++++++++++++++++++++++++++++++++++++++++++++++++
from GUI import run
if __name__ == '__main__':
run()
| 29.111111
| 53
| 0.374046
| 19
| 262
| 4.684211
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152672
| 262
| 9
| 54
| 29.111111
| 0.400901
| 0.748092
| 0
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| 0
| 0.126984
| 0
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| 0
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| 1
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| true
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| 0.333333
| 0
| 0.333333
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| null | 0
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| 0
| 0
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| 0
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| 1
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| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
dd1b1b60fe9748c15b407ad5ae41810f316c1c80
| 111
|
py
|
Python
|
math_lib.py
|
cu-swe4s-fall-2020/version-control-mad232
|
6d40887deb637976bc68b2c085ba606aa6c44d8d
|
[
"MIT"
] | null | null | null |
math_lib.py
|
cu-swe4s-fall-2020/version-control-mad232
|
6d40887deb637976bc68b2c085ba606aa6c44d8d
|
[
"MIT"
] | null | null | null |
math_lib.py
|
cu-swe4s-fall-2020/version-control-mad232
|
6d40887deb637976bc68b2c085ba606aa6c44d8d
|
[
"MIT"
] | null | null | null |
def div(a, b):
if b==0:
return "error"
else:
return a/b
def add(a,b):
return a+b
| 11.1
| 22
| 0.459459
| 20
| 111
| 2.55
| 0.5
| 0.156863
| 0.313725
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014925
| 0.396396
| 111
| 9
| 23
| 12.333333
| 0.746269
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 0
| 0
| 0
| 0
| 0
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| 1
| 0.285714
| false
| 0
| 0
| 0.142857
| 0.714286
| 0
| 1
| 0
| 0
| null | 0
| 1
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| 0
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| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
dd52539d721588fedfb9705448829c107ce4e4a8
| 297
|
py
|
Python
|
webApp/admin/endpoints.py
|
rbakash/flask-boilerplate
|
58128ae0a3aec48b1917e4b362bb1bb68098bd67
|
[
"MIT"
] | null | null | null |
webApp/admin/endpoints.py
|
rbakash/flask-boilerplate
|
58128ae0a3aec48b1917e4b362bb1bb68098bd67
|
[
"MIT"
] | null | null | null |
webApp/admin/endpoints.py
|
rbakash/flask-boilerplate
|
58128ae0a3aec48b1917e4b362bb1bb68098bd67
|
[
"MIT"
] | null | null | null |
# Contains all the endpoint related to the user authentication
from flask import render_template, redirect
from flask import render_template
from . import admin
# Renders the error.html page
@admin.route("/products")
def show():
return render_template('shop.html', title='Shop Products')
| 21.214286
| 62
| 0.771044
| 41
| 297
| 5.512195
| 0.634146
| 0.185841
| 0.132743
| 0.185841
| 0.256637
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 297
| 13
| 63
| 22.846154
| 0.893281
| 0.296296
| 0
| 0
| 0
| 0
| 0.15122
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0.5
| 0.166667
| 0.833333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
dd5fa9663257ce3d1873f60be03f58b5087660ac
| 156
|
py
|
Python
|
tacos/chicken/urls/v1/__init__.py
|
robinetbatman/figma-lottie
|
3de5cd4a478d97ac4cd1bba87cfeac40e1778a8a
|
[
"MIT"
] | 22
|
2019-05-31T18:04:54.000Z
|
2021-11-02T21:47:12.000Z
|
tacos/chicken/urls/v1/__init__.py
|
robinetbatman/figma-lottie
|
3de5cd4a478d97ac4cd1bba87cfeac40e1778a8a
|
[
"MIT"
] | 15
|
2019-05-29T17:22:42.000Z
|
2021-06-10T21:32:08.000Z
|
tacos/chicken/urls/v1/__init__.py
|
robinetbatman/figma-lottie
|
3de5cd4a478d97ac4cd1bba87cfeac40e1778a8a
|
[
"MIT"
] | 1
|
2020-10-04T11:51:21.000Z
|
2020-10-04T11:51:21.000Z
|
from django.urls import include, path
urlpatterns = [
path('', include('chicken.urls.v1.api')),
path('oauth', include('chicken.urls.v1.oauth')),
]
| 22.285714
| 52
| 0.660256
| 20
| 156
| 5.15
| 0.55
| 0.271845
| 0.349515
| 0.38835
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014925
| 0.141026
| 156
| 6
| 53
| 26
| 0.753731
| 0
| 0
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| 0
| 0
| 0.288462
| 0.134615
| 0
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| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0
| 1
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| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
dd7a9e4d77d0173614d818bd10ce96aeaa177565
| 88
|
py
|
Python
|
fakesite/http_auth/digest.py
|
akun/fakesite
|
19d984011424dba9b9c7641e4ce3603605dd0d43
|
[
"MIT"
] | 2
|
2015-12-20T06:57:20.000Z
|
2022-03-17T10:26:57.000Z
|
fakesite/http_auth/digest.py
|
akun/fakesite
|
19d984011424dba9b9c7641e4ce3603605dd0d43
|
[
"MIT"
] | null | null | null |
fakesite/http_auth/digest.py
|
akun/fakesite
|
19d984011424dba9b9c7641e4ce3603605dd0d43
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
from tornado.test.curl_httpclient_test import DigestAuthHandler
| 17.6
| 63
| 0.829545
| 12
| 88
| 5.916667
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0.090909
| 88
| 4
| 64
| 22
| 0.8875
| 0.227273
| 0
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| true
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| null | 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
dda1db34cf04b33722d91f21e62c06d26ae87e79
| 187
|
py
|
Python
|
5kyu/Luck_check/solution.py
|
wizh/codewars
|
bdb421720437a9fcafaa2eda8869a1cd4835bb47
|
[
"MIT"
] | 1
|
2015-11-25T00:06:13.000Z
|
2015-11-25T00:06:13.000Z
|
5kyu/Luck_check/solution.py
|
wizh/codewars
|
bdb421720437a9fcafaa2eda8869a1cd4835bb47
|
[
"MIT"
] | null | null | null |
5kyu/Luck_check/solution.py
|
wizh/codewars
|
bdb421720437a9fcafaa2eda8869a1cd4835bb47
|
[
"MIT"
] | null | null | null |
def luck_check(s):
if len(s) % 2 == 1:
s = s[:len(s)//2] + s[len(s)//2 + 1:]
return (sum(int(i) for i in s[:len(s)//2]) == sum(int(i)
for i in s[len(s)//2:]))
| 31.166667
| 60
| 0.427807
| 40
| 187
| 1.975
| 0.35
| 0.253165
| 0.316456
| 0.303797
| 0.481013
| 0.481013
| 0.481013
| 0.481013
| 0.481013
| 0.481013
| 0
| 0.05303
| 0.294118
| 187
| 5
| 61
| 37.4
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
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| 0
| 0.4
| 0
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| null | 1
| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
06d5ce197b1ac0dfe731e5d32cca6a578511eb1b
| 746
|
py
|
Python
|
interact_blue.py
|
Driftwood2D/blue
|
02b5bd3dbbc8fe2836f88c8beaa0955344cc7998
|
[
"MIT"
] | null | null | null |
interact_blue.py
|
Driftwood2D/blue
|
02b5bd3dbbc8fe2836f88c8beaa0955344cc7998
|
[
"MIT"
] | null | null | null |
interact_blue.py
|
Driftwood2D/blue
|
02b5bd3dbbc8fe2836f88c8beaa0955344cc7998
|
[
"MIT"
] | null | null | null |
def open_door():
# TODO: This needs to be in the stdlib.
Driftwood.area.tilemap.layers[2].tile(4, 0).nowalk = None
Driftwood.area.tilemap.layers[2].tile(4, 0).setgid(27)
def open_door2():
Driftwood.area.tilemap.layers[2].tile(2, 0).nowalk = None
Driftwood.area.tilemap.layers[2].tile(2, 0).setgid(27)
def get_pearl():
if not _["inventory"].has("blue_pearl"):
Driftwood.area.tilemap.layers[2].tile(5, 3).nowalk = None
Driftwood.area.tilemap.layers[1].tile(5, 3).setgid(0)
_["inventory"].get("blue_pearl", 1)
_["inventory"].save()
if "blue_pearl_light" in Driftwood.vars and Driftwood.vars["blue_pearl_light"]:
Driftwood.light.kill(Driftwood.vars["blue_pearl_light"])
| 37.3
| 87
| 0.662198
| 111
| 746
| 4.324324
| 0.351351
| 0.1625
| 0.25
| 0.325
| 0.56875
| 0.45625
| 0.316667
| 0.316667
| 0.175
| 0
| 0
| 0.040323
| 0.168901
| 746
| 19
| 88
| 39.263158
| 0.733871
| 0.049598
| 0
| 0
| 0
| 0
| 0.134371
| 0
| 0
| 0
| 0
| 0.052632
| 0
| 1
| 0.214286
| true
| 0
| 0
| 0
| 0.214286
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
06de461999a368a89777aaba491918e4ee7d0980
| 206
|
py
|
Python
|
bot/models/Group.py
|
Tuarisa/Secret-Santa-Bot
|
5e741eba245e3fd4d12c1da595061b225493d36a
|
[
"MIT"
] | 12
|
2018-11-26T14:00:37.000Z
|
2021-11-26T02:53:15.000Z
|
bot/models/Group.py
|
Tuarisa/Secret-Santa-Bot
|
5e741eba245e3fd4d12c1da595061b225493d36a
|
[
"MIT"
] | 8
|
2018-11-28T09:49:27.000Z
|
2021-11-29T04:28:10.000Z
|
bot/models/Group.py
|
Tuarisa/Secret-Santa-Bot
|
5e741eba245e3fd4d12c1da595061b225493d36a
|
[
"MIT"
] | 12
|
2017-11-17T18:23:22.000Z
|
2021-12-14T06:43:47.000Z
|
from sqlalchemy import Column, Integer
from bot.Base import Base
class Group(Base):
__tablename__ = 'groups'
id = Column(Integer(), primary_key=True)
telegram_id = Column(Integer)
| 18.727273
| 45
| 0.684466
| 25
| 206
| 5.4
| 0.64
| 0.288889
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.228155
| 206
| 10
| 46
| 20.6
| 0.849057
| 0
| 0
| 0
| 0
| 0
| 0.030612
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
660b55524327ea3f603352bee07221f4c7ebc273
| 9,058
|
py
|
Python
|
test/test_deadlock.py
|
tkilias/sqlalchemy_exasol
|
fa9566fb65f59dbc7d78f3e80a3d175925e171e3
|
[
"BSD-2-Clause"
] | null | null | null |
test/test_deadlock.py
|
tkilias/sqlalchemy_exasol
|
fa9566fb65f59dbc7d78f3e80a3d175925e171e3
|
[
"BSD-2-Clause"
] | null | null | null |
test/test_deadlock.py
|
tkilias/sqlalchemy_exasol
|
fa9566fb65f59dbc7d78f3e80a3d175925e171e3
|
[
"BSD-2-Clause"
] | null | null | null |
# -*- coding: UTF-8 -*-
import time
from threading import Thread
import pytest
from sqlalchemy import create_engine
from sqlalchemy.testing import fixtures, config
import sqlalchemy.testing as testing
from sqlalchemy_exasol.base import EXADialect
#TODO get_schema_names, get_view_names and get_view_definition didn't cause deadlocks in this scenario
@pytest.mark.skipif("turbodbc" in str(testing.db.url), reason="We currently don't support snapshot metadata requests for turbodbc")
class MetadataTest(fixtures.TablesTest):
__backend__ = True
CONNECTION_ECHO = False
WATCHDOG_ECHO = False
def create_transaction(self, url, con_name):
engine = create_engine(config.db.url, echo=self.CONNECTION_ECHO, logging_name="engine" + con_name)
session = engine.connect().execution_options(autocommit=False)
return engine, session
def test_no_deadlock_for_get_table_names_without_fallback(self):
def without_fallback(session2, schema, table):
dialect = EXADialect()
dialect.get_table_names(session2, schema=schema, use_sql_fallback=False)
self.run_deadlock_for_table(without_fallback)
def test_deadlock_for_get_table_names_with_fallback(self):
def with_fallback(session2, schema, table):
dialect = EXADialect()
dialect.get_table_names(session2, schema=schema, use_sql_fallback=True)
with pytest.raises(Exception):
self.run_deadlock_for_table(with_fallback)
def test_no_deadlock_for_get_columns_without_fallback(self):
def without_fallback(session2, schema, table):
dialect = EXADialect()
dialect.get_columns(session2, schema=schema, table_name=table, use_sql_fallback=False)
self.run_deadlock_for_table(without_fallback)
def test_no_deadlock_for_get_columns_with_fallback(self):
# TODO: Doesnt produce a deadlock anymore since last commit?
def with_fallback(session2, schema, table):
dialect = EXADialect()
dialect.get_columns(session2, schema=schema, table_name=table, use_sql_fallback=True)
self.run_deadlock_for_table(with_fallback)
def test_no_deadlock_for_get_pk_constraint_without_fallback(self):
def without_fallback(session2, schema, table):
dialect = EXADialect()
dialect.get_pk_constraint(session2, table_name=table, schema=schema, use_sql_fallback=False)
self.run_deadlock_for_table(without_fallback)
def test_deadlock_for_get_pk_constraint_with_fallback(self):
def with_fallback(session2, schema, table):
dialect = EXADialect()
dialect.get_pk_constraint(session2, table_name=table, schema=schema, use_sql_fallback=True)
with pytest.raises(Exception):
self.run_deadlock_for_table(with_fallback)
def test_no_deadlock_for_get_foreign_keys_without_fallback(self):
def without_fallback(session2, schema, table):
dialect = EXADialect()
dialect.get_foreign_keys(session2, table_name=table, schema=schema, use_sql_fallback=False)
self.run_deadlock_for_table(without_fallback)
def test_deadlock_for_get_foreign_keys_with_fallback(self):
def with_fallback(session2, schema, table):
dialect = EXADialect()
dialect.get_foreign_keys(session2, table_name=table, schema=schema, use_sql_fallback=True)
with pytest.raises(Exception):
self.run_deadlock_for_table(with_fallback)
def test_no_deadlock_for_get_view_names_without_fallback(self):
# TODO: think of other scenarios where metadata deadlocks with view could happen
def without_fallback(session2, schema, table):
dialect = EXADialect()
dialect.get_view_names(session2, table_name=table, schema=schema, use_sql_fallback=False)
self.run_deadlock_for_table(without_fallback)
def test_no_deadlock_for_get_view_names_with_fallback(self):
# TODO: think of other scenarios where metadata deadlocks with view could happen
def with_fallback(session2, schema, table):
dialect = EXADialect()
dialect.get_view_names(session2, table_name=table, schema=schema, use_sql_fallback=True)
self.run_deadlock_for_table(with_fallback)
def watchdog(self, session0, schema):
while self.watchdog_run:
rs = session0.execute("SELECT * FROM SYS.EXA_ALL_SESSIONS")
rs = [row for row in rs]
if self.WATCHDOG_ECHO:
print()
print("===========================================")
print("Watchdog")
print("===========================================")
for row in rs:
if self.WATCHDOG_ECHO:
print(row)
if row[7] is not None and "Waiting for" in row[7]:
if self.WATCHDOG_ECHO:
print("Killing session: %s" % row[0])
session0.execute("kill session %s" % row[0])
if self.WATCHDOG_ECHO:
print("===========================================")
print()
time.sleep(10) # Only change with care, lower values might make tests unreliable
def run_deadlock_for_table(self, function):
c1 = config.db.connect()
url = config.db.url
schema = "deadlock_get_table_names_test_schema"
engine0, session0 = self.create_transaction(url, "transaction0")
try:
session0.execute("DROP SCHEMA %s cascade" % schema)
except:
pass
session0.execute("CREATE SCHEMA %s" % schema)
session0.execute("CREATE OR REPLACE TABLE %s.deadlock_test1 (id int PRIMARY KEY)" % schema)
session0.execute(
"CREATE OR REPLACE TABLE %s.deadlock_test2 (id int PRIMARY KEY, fk int REFERENCES %s.deadlock_test1(id))" % (
schema, schema))
session0.execute("INSERT INTO %s.deadlock_test1 VALUES 1" % schema)
session0.execute("INSERT INTO %s.deadlock_test2 VALUES (1,1)" % schema)
session0.execute("commit")
self.watchdog_run = True
t1 = Thread(target=self.watchdog, args=(session0, schema))
t1.start()
try:
engine1, session1 = self.create_transaction(url, "transaction1")
session1.execute("SELECT 1")
session1.execute("SELECT * FROM %s.deadlock_test2" % schema)
session1.execute("INSERT INTO %s.deadlock_test1 VALUES 2" % schema)
engine3, session3 = self.create_transaction(url, "transaction3")
session3.execute("SELECT 1")
session3.execute("DELETE FROM %s.deadlock_test2 WHERE false" % schema)
session3.execute("commit")
engine2, session2 = self.create_transaction(url, "transaction2")
session2.execute("SELECT 1")
function(session2, schema, "deadlock_test2")
session2.execute("commit")
session1.execute("commit")
except Exception as e:
self.watchdog_run = False
t1.join()
raise e
self.watchdog_run = False
t1.join()
def run_deadlock_for_get_view_names(self, function):
c1 = config.db.connect()
url = config.db.url
schema = "deadlock_get_view_names_test_schema"
engine0, session0 = self.create_transaction(url, "transaction0")
try:
session0.execute("DROP SCHEMA %s cascade" % schema)
except:
pass
session0.execute("CREATE SCHEMA %s" % schema)
session0.execute("CREATE OR REPLACE TABLE %s.deadlock_test_table (id int)" % schema)
session0.execute(
"CREATE OR REPLACE VIEW %s.deadlock_test_view_1 AS SELECT * FROM %s.deadlock_test_table" % (schema, schema))
session0.execute("commit")
self.watchdog_run = True
t1 = Thread(target=self.watchdog, args=(session0, schema))
t1.start()
try:
engine1, session1 = self.create_transaction(url, "transaction1")
session1.execute("SELECT 1")
session1.execute("SELECT * FROM %s.deadlock_test_view_1" % schema)
session1.execute(
"CREATE OR REPLACE VIEW %s.deadlock_test_view_2 AS SELECT * FROM %s.deadlock_test_table" % (
schema, schema))
engine3, session3 = self.create_transaction(url, "transaction3")
session3.execute("SELECT 1")
session3.execute("DROP VIEW %s.deadlock_test_view_1" % schema)
session3.execute("commit")
engine2, session2 = self.create_transaction(url, "transaction2")
session2.execute("SELECT 1")
function(session2, schema)
session2.execute("commit")
session1.execute("commit")
except Exception as e:
self.watchdog_run = False
t1.join()
raise e
self.watchdog_run = False
t1.join()
| 42.327103
| 131
| 0.647052
| 1,052
| 9,058
| 5.326046
| 0.164449
| 0.043191
| 0.029984
| 0.037301
| 0.783866
| 0.763876
| 0.744601
| 0.721756
| 0.719258
| 0.667143
| 0
| 0.017884
| 0.253036
| 9,058
| 213
| 132
| 42.525822
| 0.810228
| 0.044491
| 0
| 0.607143
| 0
| 0.005952
| 0.150439
| 0.043941
| 0
| 0
| 0
| 0.004695
| 0
| 1
| 0.142857
| false
| 0.011905
| 0.041667
| 0
| 0.214286
| 0.047619
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
661e4ddef2b78d36040fddd182157a8081054391
| 45
|
py
|
Python
|
hello.py
|
wSkyandStar/pythonflask01
|
07e19273e76bc20fdbbbe5c1f24f5307f5ce6955
|
[
"Apache-2.0"
] | null | null | null |
hello.py
|
wSkyandStar/pythonflask01
|
07e19273e76bc20fdbbbe5c1f24f5307f5ce6955
|
[
"Apache-2.0"
] | null | null | null |
hello.py
|
wSkyandStar/pythonflask01
|
07e19273e76bc20fdbbbe5c1f24f5307f5ce6955
|
[
"Apache-2.0"
] | null | null | null |
print('hello github')
print('second commit!')
| 22.5
| 23
| 0.733333
| 6
| 45
| 5.5
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066667
| 45
| 2
| 23
| 22.5
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0.565217
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 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
| 0
| 0
| 0
| 1
|
0
| 5
|
b0c416f02eb0d2b5c7147b4c77fef6ccc49e3f04
| 113
|
py
|
Python
|
pineboolib/q3widgets/qmenu.py
|
juanjosepablos/pineboo
|
f6ce515aec6e0139821bb9c1d62536d9fb50dae4
|
[
"MIT"
] | null | null | null |
pineboolib/q3widgets/qmenu.py
|
juanjosepablos/pineboo
|
f6ce515aec6e0139821bb9c1d62536d9fb50dae4
|
[
"MIT"
] | 1
|
2017-10-30T22:00:48.000Z
|
2017-11-11T19:34:32.000Z
|
pineboolib/q3widgets/qmenu.py
|
juanjosepablos/pineboo
|
f6ce515aec6e0139821bb9c1d62536d9fb50dae4
|
[
"MIT"
] | 1
|
2017-10-30T20:16:38.000Z
|
2017-10-30T20:16:38.000Z
|
"""Qmenu module."""
from PyQt5 import QtWidgets
class QMenu(QtWidgets.QMenu):
"""QMenu class."""
pass
| 12.555556
| 29
| 0.646018
| 13
| 113
| 5.615385
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010989
| 0.19469
| 113
| 8
| 30
| 14.125
| 0.791209
| 0.230089
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 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
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
b0d837435416b451da0541661c8dc2145b1ab779
| 44
|
py
|
Python
|
docs/vscode/01-render-test.py
|
dmccreary/Python
|
1ef12355b7933f2d566acdd22d5f8b25c4cbc40c
|
[
"MIT"
] | null | null | null |
docs/vscode/01-render-test.py
|
dmccreary/Python
|
1ef12355b7933f2d566acdd22d5f8b25c4cbc40c
|
[
"MIT"
] | null | null | null |
docs/vscode/01-render-test.py
|
dmccreary/Python
|
1ef12355b7933f2d566acdd22d5f8b25c4cbc40c
|
[
"MIT"
] | 1
|
2020-02-06T14:14:38.000Z
|
2020-02-06T14:14:38.000Z
|
import turtle
t = turtle.Turtle()
t.fd(100)
| 11
| 19
| 0.704545
| 8
| 44
| 3.875
| 0.625
| 0.451613
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078947
| 0.136364
| 44
| 3
| 20
| 14.666667
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
7c036b4a397ea6e39dccb4f13f8057c5485eeb3f
| 106
|
py
|
Python
|
code/abc008_2_01.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | 3
|
2019-08-16T16:55:48.000Z
|
2021-04-11T10:21:40.000Z
|
code/abc008_2_01.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | null | null | null |
code/abc008_2_01.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | null | null | null |
from collections import Counter
print(Counter([input() for i in range(int(input()))]).most_common()[0][0])
| 53
| 74
| 0.726415
| 17
| 106
| 4.470588
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020408
| 0.075472
| 106
| 2
| 74
| 53
| 0.755102
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 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
| 0
| 1
|
0
| 5
|
9fd8584d431a36fbf250f7aa29af34c33e615f35
| 24,357
|
py
|
Python
|
plugins/_bitmaps.py
|
genericsoma/XRCed
|
c4f5077d81eb40e0d885c0be6a867ae17fefe31b
|
[
"BSD-2-Clause"
] | 27
|
2020-11-12T19:24:54.000Z
|
2022-03-27T23:10:45.000Z
|
plugins/_bitmaps.py
|
genericsoma/XRCed
|
c4f5077d81eb40e0d885c0be6a867ae17fefe31b
|
[
"BSD-2-Clause"
] | 2
|
2020-11-02T06:30:39.000Z
|
2022-02-23T18:39:55.000Z
|
plugins/_bitmaps.py
|
genericsoma/XRCed
|
c4f5077d81eb40e0d885c0be6a867ae17fefe31b
|
[
"BSD-2-Clause"
] | 7
|
2018-02-13T10:22:39.000Z
|
2019-07-04T07:39:28.000Z
|
#----------------------------------------------------------------------
# This file was generated by ../encode_bitmaps.py
#
from wx.lib.embeddedimage import PyEmbeddedImage
wxDialog = PyEmbeddedImage(
"iVBORw0KGgoAAAANSUhEUgAAAE8AAABGCAYAAACNO8lOAAAABHNCSVQICAgIfAhkiAAACuBJ"
"REFUeJztnFtsHNd5x3/nnJld7nKXt9WFoigpMnWJKdhS1SiyHOfSGGkrtEgNBEjSvqRF0QZ9"
"CJDHvgV5SV+bhyJBC6NAYSBtgCYBqgiundSxEMOJA9lWTMmSFZG2xDu5vO1ldmfOpQ8zu1pR"
"VOxkWqCu5w8Md3fmzNnz/c73fec7A3DFsZPnaG4sebsOHj88MHr4T621XxdC4JxD8P9TThDb"
"5gAhEjt3ttYRc3DOIaT4WrM69x3dWJ25M7usxUOTp/ODYxNfGNl/5B/3n3xS9Y9PenHH7j0M"
"432MNyaC0e3EUQTbLb4LTSG9HI35N/Xsa8+bhVtTf/3mSxeeEac+fv5g5fCpm8c++9XcxlaD"
"VtAEITq3/voBvCfA/zclEERby+i1dwD74IYOkIr87sMMjx2h3dziyne/oR873P8Vb3D08J/v"
"O/lpWV2v0Wxs4ft5hHPIXqfawcGso+PQD/xe2Q2JuJUjnslOl0KIe849qI/4+/6HJsoBUtLe"
"WES2qhw88RGUl0Ngk7HEzYSIfdGhaDXrrC/MEK75BLLM0JGzXq059S3PWvv1vtHjrC4s4/cV"
"aDdrNN55jVazgZASh7uPj3MW6RcYeug0XqEUk+yViE+1I4t1rpMv8KXE92KgxkI7MigpyHkS"
"0TtBLu7DEfeBg5wvYpDJtW67bd+7vY/759YhlE9zdZah3Xtp5SroVkBowZPgSYEQ0NYOYx0F"
"X2JzIzTCGQrNdfIjFQpjk7x68T/xhBBYa9HGgrYo3WKiWKc0LEF5XQ8RiRcJKRDOcf32Es3G"
"JvhFcL1uLzDWUS4ofudAmYGijxCSVmRZ3Ah4ezWgrR2VkseJiWGW64bp5QZam7uznvxRUnBy"
"vB/fU9xYCghaEeC6cyW3RUTHc0QvXHF/4AhnYqcA2u0Wvg05ua/I0lbEwmYbbRzHRwsMFnx+"
"OVvHoDDWYqxDa4O1FqUknsPhrMVai9EGXwp+7+wjPHHqCMLvQwpQSiGlTA4FQvIv33+Oi3fA"
"GHNPqpVC0I4MB0dyfP7MHgZVwNz8IiOVCl5xPz95s8p3X1mi1FfgYwcFr1y+yvU1hRoYJecp"
"BAJjDEFk6c9Jzj9SoWTW+fsbt9iUe/D8HH5CLTIW62KIzoGUAl+CcXEq8KRCO4e123OawSbV"
"RBQZynn4gxPDFHzJt1+cp5hTfPkTozTaltfv1NDW4pzDOocxJkkzDq8zQdZZhIsbKU/Rl88h"
"fR8pBLIHnvI8fCnwfQ+HS+7riSXpuqFazHlMXbnG09/7EYXyEH/zhfOcn9zH61M3aIWKQ/sO"
"cMPXyNoSf/LxSU4fKuELR9N4XLiywtTsFnlP4rVrBPNXGTnYz+ee+BCT+4pYa3ljrsnFK0ss"
"bWl2l30+d2aUybEi08sNcn6OnIh4+oUZZmuSvpyHtbHRQkhIYHjCsbTZ4kfX1vjS43v52/MH"
"8KSgrR3/9oslWqFGSIVzsYN1bAOBJJklbHwyPu6GQKexSxy9m7ddb/vuchBfdzFUhKMRBFTD"
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#----------------------------------------------------------------------
wxFrame = PyEmbeddedImage(
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#----------------------------------------------------------------------
wxPanel = PyEmbeddedImage(
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#----------------------------------------------------------------------
wxPropertySheetDialog = PyEmbeddedImage(
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#----------------------------------------------------------------------
wxWizard = PyEmbeddedImage(
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| null | 0
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| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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|
0
| 5
|
9ff8f61976eff004aa5837591be6194d7e0cd3a8
| 42,756
|
py
|
Python
|
osometweet/api.py
|
osome-iu/osometweet
|
0db17955828f1e3c4e1c49a6cb177a7a6daa076c
|
[
"MIT"
] | 18
|
2021-01-11T19:42:38.000Z
|
2022-02-28T09:44:29.000Z
|
osometweet/api.py
|
osome-iu/osometweet
|
0db17955828f1e3c4e1c49a6cb177a7a6daa076c
|
[
"MIT"
] | 67
|
2021-01-09T15:33:06.000Z
|
2022-02-02T21:31:30.000Z
|
osometweet/api.py
|
truthy/osometweet
|
0db17955828f1e3c4e1c49a6cb177a7a6daa076c
|
[
"MIT"
] | 1
|
2021-01-11T19:42:44.000Z
|
2021-01-11T19:42:44.000Z
|
"""
The core osometweet collection of API methods.
"""
from typing import Union, Generator
from osometweet.utils import get_logger
from .oauth import OAuthHandler
from .fields import (
ObjectFields,
ObjectFieldsBase,
UserFields,
TweetFields,
MediaFields,
PollFields,
PlaceFields,
)
from .expansions import ObjectExpansions, TweetExpansions, UserExpansions
logger = get_logger(__name__)
class OsomeTweet:
"""
The core osometweet collection of API methods.
"""
def __init__(
self, oauth: OAuthHandler, base_url: str = "https://api.twitter.com/2",
) -> None:
self._oauth = oauth
# A lot of endpoints can only receive payload parameters specific
# to their endpoint, initializing with all of the different objects
# will lead to a 401 error if we have unnecessary objects so we can
# solve this simply by initializing with an empty dictionary
# and updating self._params for each method.
self._base_url = base_url
self._params = {}
########################################
########################################
# Helper functions
def set_base_url(self, base_url: str) -> None:
"""
Sets the APIs base URL. The URL for API v2 is:
- https://api.twitter.com/2/<endpoint>
Parameters:
- base_url (str) - base url of the api
Returns:
- None
Raises:
- ValueError
"""
if isinstance(base_url, str):
self._base_url = base_url
else:
raise ValueError(
"Invalid type for parameter base_url, must be a string"
)
def _decorate_payload(
self,
payload: dict = None,
endpoint_type: str = None,
everything: bool = False,
fields: ObjectFields = None,
expansions: ObjectExpansions = None,
) -> dict:
"""
Method to add fields and expansions to the payload.
If the `everything` is set to True, then all optional fields and
expansions will be returned regardless of the values of `fields`
and `expansions`.
Parameters:
----------
- payload: (dict) - the payload
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (TweetExpansions) - Expansions enable requests to expand
an ID into a full object in the response. (default = None)
Returns:
----------
- dict
"""
if payload is None:
payload = dict()
if everything:
if endpoint_type == "user":
fields = sum(
[TweetFields(everything=True), UserFields(everything=True)]
)
expansions = UserExpansions()
elif endpoint_type == "tweet":
fields = sum(
[
TweetFields(everything=True),
UserFields(everything=True),
MediaFields(everything=True),
PollFields(everything=True),
PlaceFields(everything=True),
]
)
expansions = TweetExpansions()
else:
logger.error(
"Invalid endpoint type, must be 'user' or 'tweet'."
)
# Include expansions if present
if expansions is not None:
payload.update(expansions.expansions_object)
# Include fields if present
if fields is not None:
payload.update(fields.fields_object)
return payload
########################################
########################################
# Search endpoints
def search(
self,
query: str = None,
everything: bool = False,
fields: ObjectFields = None,
expansions: TweetExpansions = None,
full_archive_search: bool = False,
**kwargs,
) -> dict:
"""
Return tweets matching a search query. Use either the Recent Search or
Full Archive Search endpoints via full_archive_search parameter.
Recent Search: search tweets from the past 7 days
- Reference: https://developer.twitter.com/en/docs/twitter-api/tweets/search/api-reference/get-tweets-search-recent
Full Archive Search (Academic product track only!): search the complete
history of public Tweets.
- Reference: https://developer.twitter.com/en/docs/twitter-api/tweets/search/api-reference/get-tweets-search-all
How to Build a Query:
- Reference: https://developer.twitter.com/en/docs/twitter-api/tweets/search/integrate/build-a-query
Parameters:
----------
- query: (str) - One query for matching Tweets.
Recent Search query limit = 512
Full Archive query limit = 1024
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (ExpansionsObject) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
- full_archive_search (bool): True = use Full Archive Search endpoint
(Academic Track only). False = use Recent Search endpoint.
- kwargs - for optional arguments like "start_time", "end_time" and
"next_token"
Available kwargs:
----------
- end_time (date (ISO 8601)): Used with `start_time`. The newest,
most recent UTC timestamp to which the Tweets will be provided.
Timestamp is in second granularity and is exclusive (for example,
12:00:01 excludes the first second of the minute). If used without
`start_time`, Tweets from 30 days before `end_time` will be
returned by default. If not specified, `end_time` will default to
[now - 30 seconds].
- max_results (int) : The maximum number of search results to be
returned by a request. A number between 10 and the system limit
(currently 500). By default, a request response will return 10
results.
- next_token (str) : This parameter is used to move to the next 'page'
of results, based on the value of the `next_token` in the response.
(E.g., after executing `response = search()`, `next_token` can be
found with `response["meta"]["next_token"]` - which should then be
passed to the search method)
- since_id (str) : Returns results with a Tweet ID greater than (for
example, more recent than) the specified ID. The ID specified is
exclusive and responses will not include it. If included with the
same request as a start_time parameter, only since_id will be used.
- start_time (date ISO 8601) : The oldest UTC timestamp from which the
Tweets will be provided. Timestamp is in second granularity and is
inclusive (for example, 12:00:01 includes the first second of the
minute). By default, a request will return Tweets from up to 30
days ago if you do not include this parameter.
- until_id (str) : Returns results with a Tweet ID less than (that is,
older than) the specified ID. Used with since_id. The ID specified
is exclusive and responses will not include it.
Operators:
----------
Standalone (can be used on their own):
- keyword
- emoji
- #
- @
- $ (Academic research only)
- from:
- to:
- url:
- retweets_of:
- context:
- entitiy:
- conversation_id:
- place: (Academic research only)
- place_country: (Academic research only)
- point_radius: (Academic research only)
- bounding_box: (Academic research only)
Conjuction (must be used with standalone operators):
- is:retweet
- is:quote
- is:verified
- -is:nullcast (Academic research only)
- has:hashtags
- has:cashtags (Academic research only)
- has:links
- has:mentions
- has:media
- has:images
- has:videos
- has:geo (Academic research only)
- lang:
Returns:
- dict
Raises:
- Exception
- ValueError
"""
# Set url and initialize payload with query
if not isinstance(full_archive_search, bool):
raise ValueError(
"Invalid type for paratmer `full_archive_search`, must be a"
"boolean object (i.e.,True or False)."
)
if full_archive_search:
url = f"{self._base_url}/tweets/search/all"
# Check query is not too long, create payload
if isinstance(query, str):
if len(query) <= 1024:
payload = {"query": query}
else:
raise Exception(
f"Query length too long for academic search endpoint. "
f"Current query = {len(query)}. Must be <= 1024."
)
else:
raise ValueError("Query must be passed as a single string.")
else:
url = f"{self._base_url}/tweets/search/recent"
# Check query is not too long, create payload
if isinstance(query, str):
if len(query) <= 512:
payload = {"query": query}
else:
raise Exception(
f"Query length too long for standard search endpoint. "
f"Current query = {len(query)}. Must be <= 512."
)
else:
raise ValueError("Query must be passed as a single string.")
# Populate payload object w/ fields and expansions
payload = self._decorate_payload(
payload=payload,
endpoint_type="tweet",
everything=everything,
fields=fields,
expansions=expansions,
)
# Add kwargs
payload.update(kwargs)
response = self._oauth.make_request("GET", url, payload, stream=False)
return response.json()
########################################
########################################
# Tweet endpoints
def tweet_lookup(
self,
tids: Union[str, list, tuple],
*,
everything: bool = False,
fields: ObjectFields = None,
expansions: TweetExpansions = None,
) -> dict:
"""
Looks-up at least one tweet using its tweet id.
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/lookup/api-reference/get-tweets
Parameters:
----------
- tids: (str, list, tuple) - Up to 100 unique tweet ids.
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (TweetExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
Returns:
----------
- dict
Raises:
----------
- Exception
- ValueError
"""
if isinstance(tids, (str)):
payload = {"ids": tids}
elif isinstance(tids, (list, tuple)):
if len(tids) > 100:
raise Exception("Number of tweet ids exceeds maximum of 100")
payload = {"ids": ",".join(tids)}
else:
raise ValueError(
"Invalid type for parameter 'tids', "
"must be a string, list, or tuple"
)
# Set url and update payload with params
url = f"{self._base_url}/tweets"
payload = self._decorate_payload(
payload=payload,
endpoint_type="tweet",
everything=everything,
fields=fields,
expansions=expansions,
)
response = self._oauth.make_request("GET", url, payload, stream=False)
return response.json()
def get_tweet_timeline(
self,
user_id: str,
*,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
**kwargs,
) -> dict:
"""
Returns Tweets composed by a single user, specified by the requested
user ID.
- Max: 3200 most recent tweets (using pagination_token)
- Default: 10 most recent tweets (tweet_id and text data fields only)
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/timelines/api-reference/get-users-id-tweets
Parameters:
----------
- user_id (str) - Unique user ID to include in the query
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
- kwargs - for optional arguments like "end_time", "until_id" and
"pagination_token"
Available kwargs:
----------
- end_time (date (ISO 8601)): The newest or most recent UTC timestamp
from which the Tweets will be provided. Does not override 3200
limit. Has second granularity, and is inclusive of that second.
Minimum allowable time is 2010-11-06T00:00:00Z.
- exclude ("retweets" and/or "replies") : Comma-separated list of the
types of Tweets to exclude from the response. "retweets" still
returns max of 3200 tweets. If "replies" included, only the most
recent 800 tweets are returned.
- max_results (int) : The number of tweets to try and retrieve, up to a
maximum = 100 per distinct request. Otherwise, 10 is returned per
request. Minimum = 5.
- pagination_token (str) : This parameter is used to move forwards or
backwards through 'pages' of results, based on the value of the
next_token or previous_token in the response. (E.g., after
executing `response = get_tweet_timeline()`, `next_token` can be
found with `response["meta"]["next_token"]`)
- start_time (date (ISO 8601)) : The oldest or earliest UTC timestamp
from which the Tweets will be provided. Does not override 3200
limit. Has second granularity, and is inclusive of that second.
Minimum allowable time is 2010-11-06T00:00:00Z.
- until_id (str) : Returns results with a tweet ID less less than (that
is, older than) the specified 'until' tweet ID. Results will
exclude the tweet ID provided. Does not override 3200 limit.
Returns:
----------
- dict
Raises:
----------
- Exception
- ValueError
"""
return self._timeline_lookup(
user_id,
"tweets",
everything=everything,
fields=fields,
expansions=expansions,
**kwargs,
)
def get_mentions_timeline(
self,
user_id: str,
*,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
**kwargs,
) -> dict:
"""
Returns Tweets mentioning a single user specified by the requested
user ID.
- Max: 800 most recent tweets (using pagination_token)
- Default: 10 most recent tweets (tweet_id and text data fields only)
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/timelines/api-reference/get-users-id-mentions
Parameters:
----------
- user_id (str) - Unique user ID to include in the query
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
- kwargs - for optional arguments like "max_results" and
"pagination_token"
Available kwargs:
----------
- end_time (date (ISO 8601)): The newest or most recent UTC
timestamp from which the Tweets will be provided. Does not
override 3200 limit. Has second granularity, and is inclusive
of that second. Minimum allowable time is 2010-11-06T00:00:00Z.
- exclude ("retweets" and/or "replies") : Comma-separated list of
the types of Tweets to exclude from the response. "retweets"
still returns max of 3200 tweets. If "replies" included, only
the most recent 800 tweets are returned.
- max_results (int) : The number of tweets to try and retrieve,
up to a maximum = 100 per distinct request. Otherwise, 10 is
returned per request. Minimum = 5.
- pagination_token (str) : This parameter is used to move forwards
or backwards through 'pages' of results, based on the value of
the next_token or previous_token in the response. (E.g., after
executing `response = get_tweet_timeline()`, `next_token` can
be found with `response["meta"]["next_token"]`)
- start_time (date (ISO 8601)) : The oldest or earliest UTC
timestamp from which the Tweets will be provided. Does not
override 3200 limit. Has second granularity, and is inclusive
of that second. Minimum allowable time is 2010-11-06T00:00:00Z.
- until_id (str) : Returns results with a tweet ID less less than
(that is, older than) the specified 'until' tweet ID. Results
will exclude the tweet ID provided. Does not override 3200
limit.
Returns:
----------
- dict
Raises:
----------
- Exception
- ValueError
"""
return self._timeline_lookup(
user_id,
"mentions",
everything=everything,
fields=fields,
expansions=expansions,
**kwargs,
)
def _timeline_lookup(
self,
user_id: str,
endpoint: str,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
**kwargs,
) -> dict:
"""
Return tweets sent by (Timeline) or mentioning (Mentions) a specific
user ID.
- Max (Timeline): 3200 most recent tweets (using pagination_token)
- Max (Mentions): 800 most recent tweets (using pagination_token)
- Default (Both): 10 most recent tweets (tweet_id and text data fields
only)
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/timelines/api-reference
Parameters:
----------
- user_id (str) - Unique user ID to include in the query
- endpoint (str) - valid values are "followers" or "following"
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
- kwargs - for optional arguments like "max_results" and
"pagination_token"
Available kwargs:
----------
- See user-facing method doc-strings for available kwargs
Returns:
----------
- dict
Raises:
----------
- Exception
- ValueError
"""
# Check type of query and user_fields
if not isinstance(user_id, str):
raise ValueError("Invalid parameter type. `user_id` must be str")
# Construct URL
url = f"{self._base_url}/users/{user_id}/{endpoint}"
# Create payload.
payload = self._decorate_payload(
endpoint_type="tweet",
everything=everything,
fields=fields,
expansions=expansions,
)
payload.update(kwargs)
response = self._oauth.make_request("GET", url, payload, stream=False)
return response.json()
########################################
########################################
# User endpoints
def get_followers(
self,
user_id: str,
*,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
**kwargs,
) -> dict:
"""
Return a list of users who are followers of the specified user ID.
- Max: 1000 user objects per query
- Default: 100 user objects per query
Ref: https://developer.twitter.com/en/docs/twitter-api/users/follows/api-reference/get-users-id-followers
Parameters:
----------
- user_id (str) - Unique user ID to include in the query
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
- kwargs - for optional arguments like "max_results" and
"pagination_token"
Available kwargs:
----------
- max_results (int) : The maximum number of results to be returned per
page. This can be a number between 1 and the 1000. By default,
each page will return 100 results.
- pagination_token (str) : This parameter is used to move forwards or
backwards through 'pages' of results, based on the value of the
next_token or previous_token in the response. (E.g., after
executing `response = get_tweet_timeline()`, `next_token` can be
found with `response["meta"]["next_token"]`)
Returns:
----------
- dict
Raises:
----------
- Exception
- ValueError
"""
return self._follows_lookup(
user_id,
"followers",
everything=everything,
fields=fields,
expansions=expansions,
**kwargs,
)
def get_following(
self,
user_id: str,
*,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
**kwargs,
) -> dict:
"""
Return a list of users the specified user ID is following.
- Max: 1000 user objects per query
- Default: 100 user objects per query
Ref: https://developer.twitter.com/en/docs/twitter-api/users/follows/api-reference/get-users-id-following
Parameters:
----------
- user_id (str) - Unique user ID to include in the query
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
- kwargs - for optional arguments like "max_results" and
"pagination_token"
Available kwargs:
----------
- max_results (int) : The maximum number of results to be returned per
page. This can be a number between 1 and the 1000. By default,
each page will return 100 results.
- pagination_token (str) : This parameter is used to move forwards or
backwards through 'pages' of results, based on the value of the
next_token or previous_token in the response. (E.g., after
executing `response = get_tweet_timeline()`, `next_token` can be
found with `response["meta"]["next_token"]`)
Returns:
----------
- dict
Raises:
----------
- Exception
- ValueError
"""
return self._follows_lookup(
user_id,
"following",
everything=everything,
fields=fields,
expansions=expansions,
**kwargs,
)
def _follows_lookup(
self,
user_id: str,
endpoint: str,
*,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
**kwargs,
) -> dict:
"""
Return a list of users who are followers of or followed by the
specified user ID.
- Max: 1000 user objects per query
- Default: 100 user objects per query
Ref: https://developer.twitter.com/en/docs/twitter-api/users/follows/api-reference/get-users-id-followers
Parameters:
----------
- user_id (str) - Unique user ID to include in the query
- endpoint (str) - valid values are "followers" or "following"
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
- kwargs - for optional arguments like "max_results" and
"pagination_token"
Returns:
----------
- dict
Raises:
----------
- Exception
- ValueError
"""
# Check type of query and user_fields
if not isinstance(user_id, str):
raise ValueError("Invalid parameter type. `user_id` must be str")
# Construct URL
url = f"{self._base_url}/users/{user_id}/{endpoint}"
# Create payload.
payload = self._decorate_payload(
endpoint_type="user",
everything=everything,
fields=fields,
expansions=expansions,
)
payload.update(kwargs)
response = self._oauth.make_request("GET", url, payload, stream=False)
return response.json()
def user_lookup_ids(
self,
user_ids: Union[list, tuple],
*,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
) -> dict:
"""
Looks-up user account information using unique user account id numbers.
User fields included by default match the default parameters returned
by Twitter.
Ref: https://developer.twitter.com/en/docs/twitter-api/users/lookup/api-reference/get-users
Parameters:
----------
- user_ids (list, tuple) - unique user ids to include in query (max
100)
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- user_fields (list, tuple) - the user fields included in returned
data. (Default = "id", "name", "username")
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
Returns:
----------
- dict
Raises:
----------
- Exception
- ValueError
"""
return self._user_lookup(
user_ids,
"id",
everything=everything,
fields=fields,
expansions=expansions
)
def user_lookup_usernames(
self,
usernames: Union[list, tuple],
*,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
) -> dict:
"""
Looks-up user account information using account usernames.
User fields included by default match the default parameters returned
by Twitter.
Ref: https://developer.twitter.com/en/docs/twitter-api/users/lookup/api-reference/get-users-by
Parameters:
----------
- usernames (list, tuple) - usernames to include in query (max 100)
- user_fields (list, tuple) - the user fields included in returned
data. (Default = "id", "name", "username")
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
Returns:
----------
- dict
Raises:
----------
- Exception
- ValueError
"""
cleaned_usernames = []
for username in usernames:
if username.startswith("@"):
cleaned_usernames.append(username[1:])
else:
cleaned_usernames.append(username)
return self._user_lookup(
cleaned_usernames,
"username",
everything=everything,
fields=fields,
expansions=expansions,
)
def _user_lookup(
self,
query: Union[list, tuple],
query_type: str,
*,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
) -> dict:
"""
Looks-up user account information using unique user id numbers.
User fields included by default match the default parameters from
twitter.
Ref: https://developer.twitter.com/en/docs/twitter-api/users/lookup/api-reference/get-users
and https://developer.twitter.com/en/docs/twitter-api/users/lookup/api-reference/get-users-by
Parameters:
----------
- query (list, tuple) - unique user ids or usernames (max 100)
- query_type (str) - type of the query, can be "id" or "username"
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
Returns:
----------
- dict
Raises:
----------
- Exception
- ValueError
"""
query_specs = {
"id": {"phrase": "user ids", "parameter_name": "ids", "endpoint": "users"},
"username": {
"phrase": "usernames",
"parameter_name": "usernames",
"endpoint": "users/by",
},
}.get(query_type)
# Check type of query and user_fields
if not isinstance(query, (list, tuple)):
raise ValueError(
"Invalid parameter type: `query` must be"
"either a list or tuple."
)
# Make sure the query is no longer than 100
if len(query) <= 100:
# create payload.
payload = {query_specs["parameter_name"]: f"{','.join(query)}"}
else:
raise Exception(
f"You passed {len(query)} {query_specs['phrase']}. \
This exceeds the maximum for a single query, 100"
)
payload = self._decorate_payload(
payload=payload,
endpoint_type="user",
everything=everything,
fields=fields,
expansions=expansions,
)
url = f"{self._base_url}/{query_specs['endpoint']}"
response = self._oauth.make_request("GET", url, payload, stream=False)
return response.json()
########################################
########################################
# Streaming endpoints
def sampled_stream(
self,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
) -> Generator[bytes, None, None]:
"""
Streams a random 1% sample of all the tweets.
User fields included by default match the default parameters from
twitter.
Note: Rate Limit Manager cannot be used with this endpoint. When
calling osometweet.OAuth2() for authorization, make sure to set the
`manage_rate_limits` parameter equal to `False`.
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/sampled-stream/introduction
Parameters:
----------
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
Returns:
----------
- Generator
Raises:
----------
- Exception
"""
return self._sampled_stream(
everything=everything, fields=fields, expansions=expansions
)
def _sampled_stream(
self,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
) -> Generator[bytes, None, None]:
"""
Streams a filtered 1% sample of all the tweets.
User fields included by default match the default parameters from
twitter.
Note: Rate Limit Manager cannot be used with this endpoint. When
calling osometweet.OAuth2() for authorization, make sure to set the
`manage_rate_limits` parameter equal to `False`.
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/sampled-stream/introduction
Parameters:
----------
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
Returns:
----------
- Generator
Raises:
----------
- Exception
"""
if self._oauth._manage_rate_limits:
raise Exception(
"Rate Limit Manager cannot be used with streaming endpoints. "
"When calling osometweet.OAuth2(), make sure to set the "
"`manage_rate_limits` parameter equal to `False` and try again."
)
payload = self._decorate_payload(
payload=None,
endpoint_type="tweet",
everything=everything,
fields=fields,
expansions=expansions,
)
url = f"{self._base_url}/tweets/sample/stream"
# create a connection to the API that will be used to stream tweets
response = self._oauth.make_request(
method="GET", url=url, payload=payload, stream=True
)
if response.status_code != 200:
raise Exception(
"Request returned an error: "
f"{response.status_code} {response.text}"
)
else:
# If connection succeeded, return a generator
# that is used to stream tweets
return response
def filtered_stream(
self,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
) -> Generator[bytes, None, None]:
"""
Streams tweets that match the active streaming rules set by the user.
Note: Rate Limit Manager cannot be used with this endpoint. When
calling osometweet.OAuth2() for authorization, make sure to set the
`manage_rate_limits` parameter equal to `False`.
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/filtered-stream/introduction
Parameters:
----------
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
Returns:
----------
- Generator
Raises:
----------
- Exception
"""
return self._filtered_stream(
everything=everything, fields=fields, expansions=expansions
)
def _filtered_stream(
self,
everything: bool = False,
fields: ObjectFields = None,
expansions: UserExpansions = None,
) -> Generator[bytes, None, None]:
"""
Streams tweets that match the active streaming rules set by the user.
Note: Rate Limit Manager cannot be used with this endpoint. When
calling osometweet.OAuth2() for authorization, make sure to set the
`manage_rate_limits` parameter equal to `False`.
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/filtered-stream/introduction
Parameters:
----------
- everything: (bool) - if True, return all fields and expansions.
(default = False)
- fields: (ObjectFields) - additional fields to return. (default =
None)
- expansions: (UserExpansions) - Expansions enable requests to
expand an ID into a full object in the response. (default = None)
Returns:
----------
- Generator
Raises:
----------
- Exception
"""
if self._oauth._manage_rate_limits:
raise Exception(
"Rate Limit Manager cannot be used with streaming endpoints. "
"When calling osometweet.OAuth2(), make sure to set the "
"`manage_rate_limits` value equal to `False` and try again."
)
payload = self._decorate_payload(
payload=None,
endpoint_type="tweet",
everything=everything,
fields=fields,
expansions=expansions,
)
url = f"{self._base_url}/tweets/search/stream"
# create a connection to the API that will be used to stream tweets
response = self._oauth.make_request(
method="GET", url=url, payload=payload, stream=True
)
if response.status_code != 200:
raise Exception(
"Request returned an error: "
f"{response.status_code} {response.text}"
)
else:
# If connection succeeded, return a generator
# that is used to stream tweets
return response
def set_filtered_stream_rule(self, rules, payload={}):
"""
Modifies active streaming rules, be it by adding or removing them.
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/filtered-stream/api-reference/post-tweets-search-stream-rules
Parameters:
----------
- rules (dict): Dictionary specifying a rule to be added or deleted
- payload (dict, optional): Additional parameters used by the endpoint
(default = {}).
Returns:
dict: API response
"""
return self._set_filtered_stream_rule(rules, payload)
def _set_filtered_stream_rule(self, rules, payload):
"""
Modifies active streaming rules, be it by adding or removing them.
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/filtered-stream/api-reference/post-tweets-search-stream-rules
Parameters:
----------
- rules (dict): Dictionary specifying a rule to be added or deleted
- payload (dict, optional): Additional parameters used by the endpoint
(default = {}).
Returns:
----------
- dict: the Twitter API response
"""
url = f"{self._base_url}/tweets/search/stream/rules"
response = self._oauth.make_request(
method="POST", url=url, payload=payload, json=rules
)
return response.json()
def get_filtered_stream_rule(self, payload={}):
"""
Retrieves active streaming rules.
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/filtered-stream/api-reference/get-tweets-search-stream-rules
Parameters:
----------
- payload (dict, optional): Additional parameters used by the endpoint
(default = {}).
Returns:
----------
- dict: Any active filtered streaming rules
"""
return self._get_filtered_stream_rule(payload)
def _get_filtered_stream_rule(self, payload):
"""
Retrieves active streaming rules.
Ref: https://developer.twitter.com/en/docs/twitter-api/tweets/filtered-stream/api-reference/get-tweets-search-stream-rules
Parameters:
----------
- payload (dict, optional): Additional parameters used by the endpoint
(default = {}).
Returns:
----------
- dict: active rules
"""
url = f"{self._base_url}/tweets/search/stream/rules"
response = self._oauth.make_request(
method="GET", url=url, payload=payload
)
return response.json()
| 35.809045
| 131
| 0.564856
| 4,525
| 42,756
| 5.267624
| 0.091271
| 0.00881
| 0.029913
| 0.022151
| 0.792625
| 0.775004
| 0.77018
| 0.756335
| 0.732212
| 0.706746
| 0
| 0.009898
| 0.333661
| 42,756
| 1,193
| 132
| 35.839061
| 0.826746
| 0.53244
| 0
| 0.598575
| 0
| 0
| 0.126562
| 0.029937
| 0
| 0
| 0
| 0
| 0
| 1
| 0.052257
| false
| 0.007126
| 0.011876
| 0
| 0.114014
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
b01fa49ea4f40f2eec0dc6f25f2b2366faaa996d
| 178
|
py
|
Python
|
comments/filters.py
|
umatbro/movies-db
|
7935b9ff52b4a1da1b8a798a64bdc31e52f9698e
|
[
"MIT"
] | null | null | null |
comments/filters.py
|
umatbro/movies-db
|
7935b9ff52b4a1da1b8a798a64bdc31e52f9698e
|
[
"MIT"
] | 17
|
2019-03-16T13:30:12.000Z
|
2020-06-05T20:04:22.000Z
|
comments/filters.py
|
umatbro/movies-db
|
7935b9ff52b4a1da1b8a798a64bdc31e52f9698e
|
[
"MIT"
] | null | null | null |
import django_filters
from comments.models import Comment
class CommentFilter(django_filters.FilterSet):
class Meta:
model = Comment
fields = ('movie_id',)
| 19.777778
| 46
| 0.713483
| 20
| 178
| 6.2
| 0.75
| 0.209677
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| 0
| 0
| 0.213483
| 178
| 8
| 47
| 22.25
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| 0
| 0.044944
| 0
| 0
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| 1
| 0
| 1
| 0
|
0
| 5
|
b0440402f72a22ba8e6e61cf092d04fffa8beda7
| 27,846
|
py
|
Python
|
lib/pysnmp/smi/mibs/SNMP-VIEW-BASED-ACM-MIB.py
|
lowitty/sendtrap
|
63c194cecd9f4355f4a9edc244d80e54aa9ff0be
|
[
"MIT"
] | null | null | null |
lib/pysnmp/smi/mibs/SNMP-VIEW-BASED-ACM-MIB.py
|
lowitty/sendtrap
|
63c194cecd9f4355f4a9edc244d80e54aa9ff0be
|
[
"MIT"
] | null | null | null |
lib/pysnmp/smi/mibs/SNMP-VIEW-BASED-ACM-MIB.py
|
lowitty/sendtrap
|
63c194cecd9f4355f4a9edc244d80e54aa9ff0be
|
[
"MIT"
] | null | null | null |
# PySNMP SMI module. Autogenerated from smidump -f python SNMP-VIEW-BASED-ACM-MIB
# by libsmi2pysnmp-0.1.3 at Tue Apr 3 16:57:42 2012,
# Python version sys.version_info(major=2, minor=7, micro=2, releaselevel='final', serial=0)
# Imports
( Integer, ObjectIdentifier, OctetString, ) = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
( NamedValues, ) = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
( ConstraintsIntersection, ConstraintsUnion, SingleValueConstraint, ValueRangeConstraint, ValueSizeConstraint, ) = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ConstraintsUnion", "SingleValueConstraint", "ValueRangeConstraint", "ValueSizeConstraint")
( SnmpAdminString, SnmpSecurityLevel, SnmpSecurityModel, ) = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString", "SnmpSecurityLevel", "SnmpSecurityModel")
( ModuleCompliance, ObjectGroup, ) = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup")
( Bits, Integer32, ModuleIdentity, MibIdentifier, MibScalar, MibTable, MibTableRow, MibTableColumn, TimeTicks, snmpModules, ) = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "Integer32", "ModuleIdentity", "MibIdentifier", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "TimeTicks", "snmpModules")
( RowStatus, StorageType, TestAndIncr, ) = mibBuilder.importSymbols("SNMPv2-TC", "RowStatus", "StorageType", "TestAndIncr")
# Objects
snmpVacmMIB = ModuleIdentity((1, 3, 6, 1, 6, 3, 16)).setRevisions(("2002-10-16 00:00","1999-01-20 00:00","1997-11-20 00:00",))
if mibBuilder.loadTexts: snmpVacmMIB.setOrganization("SNMPv3 Working Group")
if mibBuilder.loadTexts: snmpVacmMIB.setContactInfo("WG-email: snmpv3@lists.tislabs.com\nSubscribe: majordomo@lists.tislabs.com\n In message body: subscribe snmpv3\n\nCo-Chair: Russ Mundy\n Network Associates Laboratories\npostal: 15204 Omega Drive, Suite 300\n Rockville, MD 20850-4601\n USA\nemail: mundy@tislabs.com\nphone: +1 301-947-7107\n\nCo-Chair: David Harrington\n Enterasys Networks\nPostal: 35 Industrial Way\n P. O. Box 5004\n Rochester, New Hampshire 03866-5005\n USA\nEMail: dbh@enterasys.com\nPhone: +1 603-337-2614\n\nCo-editor: Bert Wijnen\n Lucent Technologies\npostal: Schagen 33\n 3461 GL Linschoten\n Netherlands\nemail: bwijnen@lucent.com\nphone: +31-348-480-685\n\nCo-editor: Randy Presuhn\n BMC Software, Inc.\n\npostal: 2141 North First Street\n San Jose, CA 95131\n USA\nemail: randy_presuhn@bmc.com\nphone: +1 408-546-1006\n\nCo-editor: Keith McCloghrie\n Cisco Systems, Inc.\npostal: 170 West Tasman Drive\n San Jose, CA 95134-1706\n USA\nemail: kzm@cisco.com\nphone: +1-408-526-5260")
if mibBuilder.loadTexts: snmpVacmMIB.setDescription("The management information definitions for the\nView-based Access Control Model for SNMP.\n\nCopyright (C) The Internet Society (2002). This\nversion of this MIB module is part of RFC 3415;\nsee the RFC itself for full legal notices.")
vacmMIBObjects = MibIdentifier((1, 3, 6, 1, 6, 3, 16, 1))
vacmContextTable = MibTable((1, 3, 6, 1, 6, 3, 16, 1, 1))
if mibBuilder.loadTexts: vacmContextTable.setDescription("The table of locally available contexts.\n\nThis table provides information to SNMP Command\n\nGenerator applications so that they can properly\nconfigure the vacmAccessTable to control access to\nall contexts at the SNMP entity.\n\nThis table may change dynamically if the SNMP entity\nallows that contexts are added/deleted dynamically\n(for instance when its configuration changes). Such\nchanges would happen only if the management\ninstrumentation at that SNMP entity recognizes more\n(or fewer) contexts.\n\nThe presence of entries in this table and of entries\nin the vacmAccessTable are independent. That is, a\ncontext identified by an entry in this table is not\nnecessarily referenced by any entries in the\nvacmAccessTable; and the context(s) referenced by an\nentry in the vacmAccessTable does not necessarily\ncurrently exist and thus need not be identified by an\nentry in this table.\n\nThis table must be made accessible via the default\ncontext so that Command Responder applications have\na standard way of retrieving the information.\n\nThis table is read-only. It cannot be configured via\nSNMP.")
vacmContextEntry = MibTableRow((1, 3, 6, 1, 6, 3, 16, 1, 1, 1)).setIndexNames((0, "SNMP-VIEW-BASED-ACM-MIB", "vacmContextName"))
if mibBuilder.loadTexts: vacmContextEntry.setDescription("Information about a particular context.")
vacmContextName = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 1, 1, 1), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(0, 32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: vacmContextName.setDescription("A human readable name identifying a particular\ncontext at a particular SNMP entity.\n\nThe empty contextName (zero length) represents the\ndefault context.")
vacmSecurityToGroupTable = MibTable((1, 3, 6, 1, 6, 3, 16, 1, 2))
if mibBuilder.loadTexts: vacmSecurityToGroupTable.setDescription("This table maps a combination of securityModel and\nsecurityName into a groupName which is used to define\nan access control policy for a group of principals.")
vacmSecurityToGroupEntry = MibTableRow((1, 3, 6, 1, 6, 3, 16, 1, 2, 1)).setIndexNames((0, "SNMP-VIEW-BASED-ACM-MIB", "vacmSecurityModel"), (0, "SNMP-VIEW-BASED-ACM-MIB", "vacmSecurityName"))
if mibBuilder.loadTexts: vacmSecurityToGroupEntry.setDescription("An entry in this table maps the combination of a\nsecurityModel and securityName into a groupName.")
vacmSecurityModel = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 2, 1, 1), SnmpSecurityModel().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("noaccess")
if mibBuilder.loadTexts: vacmSecurityModel.setDescription("The Security Model, by which the vacmSecurityName\nreferenced by this entry is provided.\n\nNote, this object may not take the 'any' (0) value.")
vacmSecurityName = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 2, 1, 2), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(1, 32))).setMaxAccess("noaccess")
if mibBuilder.loadTexts: vacmSecurityName.setDescription("The securityName for the principal, represented in a\nSecurity Model independent format, which is mapped by\nthis entry to a groupName.")
vacmGroupName = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 2, 1, 3), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(1, 32))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmGroupName.setDescription("The name of the group to which this entry (e.g., the\ncombination of securityModel and securityName)\nbelongs.\n\nThis groupName is used as index into the\nvacmAccessTable to select an access control policy.\nHowever, a value in this table does not imply that an\ninstance with the value exists in table vacmAccesTable.")
vacmSecurityToGroupStorageType = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 2, 1, 4), StorageType().clone('nonVolatile')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmSecurityToGroupStorageType.setDescription("The storage type for this conceptual row.\nConceptual rows having the value 'permanent' need not\nallow write-access to any columnar objects in the row.")
vacmSecurityToGroupStatus = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 2, 1, 5), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmSecurityToGroupStatus.setDescription("The status of this conceptual row.\n\nUntil instances of all corresponding columns are\nappropriately configured, the value of the\n\ncorresponding instance of the vacmSecurityToGroupStatus\ncolumn is 'notReady'.\n\nIn particular, a newly created row cannot be made\nactive until a value has been set for vacmGroupName.\n\nThe RowStatus TC [RFC2579] requires that this\nDESCRIPTION clause states under which circumstances\nother objects in this row can be modified:\n\nThe value of this object has no effect on whether\nother objects in this conceptual row can be modified.")
vacmAccessTable = MibTable((1, 3, 6, 1, 6, 3, 16, 1, 4))
if mibBuilder.loadTexts: vacmAccessTable.setDescription("The table of access rights for groups.\n\nEach entry is indexed by a groupName, a contextPrefix,\na securityModel and a securityLevel. To determine\nwhether access is allowed, one entry from this table\nneeds to be selected and the proper viewName from that\nentry must be used for access control checking.\n\nTo select the proper entry, follow these steps:\n\n1) the set of possible matches is formed by the\n intersection of the following sets of entries:\n\n the set of entries with identical vacmGroupName\n the union of these two sets:\n - the set with identical vacmAccessContextPrefix\n - the set of entries with vacmAccessContextMatch\n value of 'prefix' and matching\n vacmAccessContextPrefix\n intersected with the union of these two sets:\n - the set of entries with identical\n vacmSecurityModel\n - the set of entries with vacmSecurityModel\n value of 'any'\n intersected with the set of entries with\n vacmAccessSecurityLevel value less than or equal\n to the requested securityLevel\n\n2) if this set has only one member, we're done\n otherwise, it comes down to deciding how to weight\n the preferences between ContextPrefixes,\n SecurityModels, and SecurityLevels as follows:\n a) if the subset of entries with securityModel\n matching the securityModel in the message is\n not empty, then discard the rest.\n b) if the subset of entries with\n vacmAccessContextPrefix matching the contextName\n in the message is not empty,\n then discard the rest\n c) discard all entries with ContextPrefixes shorter\n than the longest one remaining in the set\n d) select the entry with the highest securityLevel\n\nPlease note that for securityLevel noAuthNoPriv, all\ngroups are really equivalent since the assumption that\nthe securityName has been authenticated does not hold.")
vacmAccessEntry = MibTableRow((1, 3, 6, 1, 6, 3, 16, 1, 4, 1)).setIndexNames((0, "SNMP-VIEW-BASED-ACM-MIB", "vacmGroupName"), (0, "SNMP-VIEW-BASED-ACM-MIB", "vacmAccessContextPrefix"), (0, "SNMP-VIEW-BASED-ACM-MIB", "vacmAccessSecurityModel"), (0, "SNMP-VIEW-BASED-ACM-MIB", "vacmAccessSecurityLevel"))
if mibBuilder.loadTexts: vacmAccessEntry.setDescription("An access right configured in the Local Configuration\nDatastore (LCD) authorizing access to an SNMP context.\n\nEntries in this table can use an instance value for\nobject vacmGroupName even if no entry in table\nvacmAccessSecurityToGroupTable has a corresponding\nvalue for object vacmGroupName.")
vacmAccessContextPrefix = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 4, 1, 1), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(0, 32))).setMaxAccess("noaccess")
if mibBuilder.loadTexts: vacmAccessContextPrefix.setDescription("In order to gain the access rights allowed by this\nconceptual row, a contextName must match exactly\n(if the value of vacmAccessContextMatch is 'exact')\nor partially (if the value of vacmAccessContextMatch\nis 'prefix') to the value of the instance of this\nobject.")
vacmAccessSecurityModel = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 4, 1, 2), SnmpSecurityModel()).setMaxAccess("noaccess")
if mibBuilder.loadTexts: vacmAccessSecurityModel.setDescription("In order to gain the access rights allowed by this\nconceptual row, this securityModel must be in use.")
vacmAccessSecurityLevel = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 4, 1, 3), SnmpSecurityLevel()).setMaxAccess("noaccess")
if mibBuilder.loadTexts: vacmAccessSecurityLevel.setDescription("The minimum level of security required in order to\ngain the access rights allowed by this conceptual\nrow. A securityLevel of noAuthNoPriv is less than\nauthNoPriv which in turn is less than authPriv.\n\nIf multiple entries are equally indexed except for\nthis vacmAccessSecurityLevel index, then the entry\nwhich has the highest value for\nvacmAccessSecurityLevel is selected.")
vacmAccessContextMatch = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 4, 1, 4), Integer().subtype(subtypeSpec=SingleValueConstraint(2,1,)).subtype(namedValues=NamedValues(("exact", 1), ("prefix", 2), )).clone(1)).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmAccessContextMatch.setDescription("If the value of this object is exact(1), then all\nrows where the contextName exactly matches\nvacmAccessContextPrefix are selected.\n\nIf the value of this object is prefix(2), then all\nrows where the contextName whose starting octets\nexactly match vacmAccessContextPrefix are selected.\nThis allows for a simple form of wildcarding.")
vacmAccessReadViewName = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 4, 1, 5), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(0, 32)).clone('')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmAccessReadViewName.setDescription("The value of an instance of this object identifies\nthe MIB view of the SNMP context to which this\nconceptual row authorizes read access.\n\nThe identified MIB view is that one for which the\nvacmViewTreeFamilyViewName has the same value as the\ninstance of this object; if the value is the empty\nstring or if there is no active MIB view having this\nvalue of vacmViewTreeFamilyViewName, then no access\nis granted.")
vacmAccessWriteViewName = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 4, 1, 6), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(0, 32)).clone('')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmAccessWriteViewName.setDescription("The value of an instance of this object identifies\nthe MIB view of the SNMP context to which this\nconceptual row authorizes write access.\n\nThe identified MIB view is that one for which the\nvacmViewTreeFamilyViewName has the same value as the\ninstance of this object; if the value is the empty\nstring or if there is no active MIB view having this\nvalue of vacmViewTreeFamilyViewName, then no access\nis granted.")
vacmAccessNotifyViewName = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 4, 1, 7), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(0, 32)).clone('')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmAccessNotifyViewName.setDescription("The value of an instance of this object identifies\nthe MIB view of the SNMP context to which this\nconceptual row authorizes access for notifications.\n\nThe identified MIB view is that one for which the\nvacmViewTreeFamilyViewName has the same value as the\ninstance of this object; if the value is the empty\nstring or if there is no active MIB view having this\nvalue of vacmViewTreeFamilyViewName, then no access\nis granted.")
vacmAccessStorageType = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 4, 1, 8), StorageType().clone('nonVolatile')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmAccessStorageType.setDescription("The storage type for this conceptual row.\n\nConceptual rows having the value 'permanent' need not\nallow write-access to any columnar objects in the row.")
vacmAccessStatus = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 4, 1, 9), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmAccessStatus.setDescription("The status of this conceptual row.\n\nThe RowStatus TC [RFC2579] requires that this\nDESCRIPTION clause states under which circumstances\nother objects in this row can be modified:\n\nThe value of this object has no effect on whether\nother objects in this conceptual row can be modified.")
vacmMIBViews = MibIdentifier((1, 3, 6, 1, 6, 3, 16, 1, 5))
vacmViewSpinLock = MibScalar((1, 3, 6, 1, 6, 3, 16, 1, 5, 1), TestAndIncr()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: vacmViewSpinLock.setDescription("An advisory lock used to allow cooperating SNMP\nCommand Generator applications to coordinate their\nuse of the Set operation in creating or modifying\nviews.\n\nWhen creating a new view or altering an existing\nview, it is important to understand the potential\ninteractions with other uses of the view. The\nvacmViewSpinLock should be retrieved. The name of\nthe view to be created should be determined to be\nunique by the SNMP Command Generator application by\nconsulting the vacmViewTreeFamilyTable. Finally,\nthe named view may be created (Set), including the\nadvisory lock.\nIf another SNMP Command Generator application has\naltered the views in the meantime, then the spin\nlock's value will have changed, and so this creation\nwill fail because it will specify the wrong value for\nthe spin lock.\n\nSince this is an advisory lock, the use of this lock\nis not enforced.")
vacmViewTreeFamilyTable = MibTable((1, 3, 6, 1, 6, 3, 16, 1, 5, 2))
if mibBuilder.loadTexts: vacmViewTreeFamilyTable.setDescription("Locally held information about families of subtrees\nwithin MIB views.\n\nEach MIB view is defined by two sets of view subtrees:\n - the included view subtrees, and\n - the excluded view subtrees.\nEvery such view subtree, both the included and the\n\nexcluded ones, is defined in this table.\n\nTo determine if a particular object instance is in\na particular MIB view, compare the object instance's\nOBJECT IDENTIFIER with each of the MIB view's active\nentries in this table. If none match, then the\nobject instance is not in the MIB view. If one or\nmore match, then the object instance is included in,\nor excluded from, the MIB view according to the\nvalue of vacmViewTreeFamilyType in the entry whose\nvalue of vacmViewTreeFamilySubtree has the most\nsub-identifiers. If multiple entries match and have\nthe same number of sub-identifiers (when wildcarding\nis specified with the value of vacmViewTreeFamilyMask),\nthen the lexicographically greatest instance of\nvacmViewTreeFamilyType determines the inclusion or\nexclusion.\n\nAn object instance's OBJECT IDENTIFIER X matches an\nactive entry in this table when the number of\nsub-identifiers in X is at least as many as in the\nvalue of vacmViewTreeFamilySubtree for the entry,\nand each sub-identifier in the value of\nvacmViewTreeFamilySubtree matches its corresponding\nsub-identifier in X. Two sub-identifiers match\neither if the corresponding bit of the value of\nvacmViewTreeFamilyMask for the entry is zero (the\n'wild card' value), or if they are equal.\n\nA 'family' of subtrees is the set of subtrees defined\nby a particular combination of values of\nvacmViewTreeFamilySubtree and vacmViewTreeFamilyMask.\n\nIn the case where no 'wild card' is defined in the\nvacmViewTreeFamilyMask, the family of subtrees reduces\nto a single subtree.\n\nWhen creating or changing MIB views, an SNMP Command\nGenerator application should utilize the\nvacmViewSpinLock to try to avoid collisions. See\nDESCRIPTION clause of vacmViewSpinLock.\n\nWhen creating MIB views, it is strongly advised that\nfirst the 'excluded' vacmViewTreeFamilyEntries are\ncreated and then the 'included' entries.\n\nWhen deleting MIB views, it is strongly advised that\nfirst the 'included' vacmViewTreeFamilyEntries are\n\ndeleted and then the 'excluded' entries.\n\nIf a create for an entry for instance-level access\ncontrol is received and the implementation does not\nsupport instance-level granularity, then an\ninconsistentName error must be returned.")
vacmViewTreeFamilyEntry = MibTableRow((1, 3, 6, 1, 6, 3, 16, 1, 5, 2, 1)).setIndexNames((0, "SNMP-VIEW-BASED-ACM-MIB", "vacmViewTreeFamilyViewName"), (0, "SNMP-VIEW-BASED-ACM-MIB", "vacmViewTreeFamilySubtree"))
if mibBuilder.loadTexts: vacmViewTreeFamilyEntry.setDescription("Information on a particular family of view subtrees\nincluded in or excluded from a particular SNMP\ncontext's MIB view.\n\nImplementations must not restrict the number of\nfamilies of view subtrees for a given MIB view,\nexcept as dictated by resource constraints on the\noverall number of entries in the\nvacmViewTreeFamilyTable.\n\nIf no conceptual rows exist in this table for a given\nMIB view (viewName), that view may be thought of as\nconsisting of the empty set of view subtrees.")
vacmViewTreeFamilyViewName = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 5, 2, 1, 1), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(1, 32))).setMaxAccess("noaccess")
if mibBuilder.loadTexts: vacmViewTreeFamilyViewName.setDescription("The human readable name for a family of view subtrees.")
vacmViewTreeFamilySubtree = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 5, 2, 1, 2), ObjectIdentifier()).setMaxAccess("noaccess")
if mibBuilder.loadTexts: vacmViewTreeFamilySubtree.setDescription("The MIB subtree which when combined with the\ncorresponding instance of vacmViewTreeFamilyMask\ndefines a family of view subtrees.")
vacmViewTreeFamilyMask = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 5, 2, 1, 3), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 16)).clone('')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmViewTreeFamilyMask.setDescription("The bit mask which, in combination with the\ncorresponding instance of vacmViewTreeFamilySubtree,\ndefines a family of view subtrees.\n\nEach bit of this bit mask corresponds to a\nsub-identifier of vacmViewTreeFamilySubtree, with the\nmost significant bit of the i-th octet of this octet\nstring value (extended if necessary, see below)\ncorresponding to the (8*i - 7)-th sub-identifier, and\nthe least significant bit of the i-th octet of this\noctet string corresponding to the (8*i)-th\nsub-identifier, where i is in the range 1 through 16.\n\nEach bit of this bit mask specifies whether or not\nthe corresponding sub-identifiers must match when\ndetermining if an OBJECT IDENTIFIER is in this\nfamily of view subtrees; a '1' indicates that an\nexact match must occur; a '0' indicates 'wild card',\ni.e., any sub-identifier value matches.\n\nThus, the OBJECT IDENTIFIER X of an object instance\nis contained in a family of view subtrees if, for\neach sub-identifier of the value of\nvacmViewTreeFamilySubtree, either:\n\n the i-th bit of vacmViewTreeFamilyMask is 0, or\n\n the i-th sub-identifier of X is equal to the i-th\n sub-identifier of the value of\n vacmViewTreeFamilySubtree.\n\nIf the value of this bit mask is M bits long and\n\nthere are more than M sub-identifiers in the\ncorresponding instance of vacmViewTreeFamilySubtree,\nthen the bit mask is extended with 1's to be the\nrequired length.\n\nNote that when the value of this object is the\nzero-length string, this extension rule results in\na mask of all-1's being used (i.e., no 'wild card'),\nand the family of view subtrees is the one view\nsubtree uniquely identified by the corresponding\ninstance of vacmViewTreeFamilySubtree.\n\nNote that masks of length greater than zero length\ndo not need to be supported. In this case this\nobject is made read-only.")
vacmViewTreeFamilyType = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 5, 2, 1, 4), Integer().subtype(subtypeSpec=SingleValueConstraint(1,2,)).subtype(namedValues=NamedValues(("included", 1), ("excluded", 2), )).clone(1)).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmViewTreeFamilyType.setDescription("Indicates whether the corresponding instances of\nvacmViewTreeFamilySubtree and vacmViewTreeFamilyMask\ndefine a family of view subtrees which is included in\nor excluded from the MIB view.")
vacmViewTreeFamilyStorageType = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 5, 2, 1, 5), StorageType().clone('nonVolatile')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmViewTreeFamilyStorageType.setDescription("The storage type for this conceptual row.\n\nConceptual rows having the value 'permanent' need not\nallow write-access to any columnar objects in the row.")
vacmViewTreeFamilyStatus = MibTableColumn((1, 3, 6, 1, 6, 3, 16, 1, 5, 2, 1, 6), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: vacmViewTreeFamilyStatus.setDescription("The status of this conceptual row.\n\nThe RowStatus TC [RFC2579] requires that this\nDESCRIPTION clause states under which circumstances\nother objects in this row can be modified:\n\nThe value of this object has no effect on whether\nother objects in this conceptual row can be modified.")
vacmMIBConformance = MibIdentifier((1, 3, 6, 1, 6, 3, 16, 2))
vacmMIBCompliances = MibIdentifier((1, 3, 6, 1, 6, 3, 16, 2, 1))
vacmMIBGroups = MibIdentifier((1, 3, 6, 1, 6, 3, 16, 2, 2))
# Augmentions
# Groups
vacmBasicGroup = ObjectGroup((1, 3, 6, 1, 6, 3, 16, 2, 2, 1)).setObjects(*(("SNMP-VIEW-BASED-ACM-MIB", "vacmViewTreeFamilyStorageType"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmAccessContextMatch"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmAccessReadViewName"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmViewTreeFamilyType"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmGroupName"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmSecurityToGroupStatus"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmContextName"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmAccessWriteViewName"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmAccessNotifyViewName"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmAccessStorageType"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmViewTreeFamilyStatus"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmAccessStatus"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmSecurityToGroupStorageType"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmViewTreeFamilyMask"), ("SNMP-VIEW-BASED-ACM-MIB", "vacmViewSpinLock"), ) )
if mibBuilder.loadTexts: vacmBasicGroup.setDescription("A collection of objects providing for remote\nconfiguration of an SNMP engine which implements\n\nthe SNMP View-based Access Control Model.")
# Compliances
vacmMIBCompliance = ModuleCompliance((1, 3, 6, 1, 6, 3, 16, 2, 1, 1)).setObjects(*(("SNMP-VIEW-BASED-ACM-MIB", "vacmBasicGroup"), ) )
if mibBuilder.loadTexts: vacmMIBCompliance.setDescription("The compliance statement for SNMP engines which\nimplement the SNMP View-based Access Control Model\nconfiguration MIB.")
# Exports
# Module identity
mibBuilder.exportSymbols("SNMP-VIEW-BASED-ACM-MIB", PYSNMP_MODULE_ID=snmpVacmMIB)
# Objects
mibBuilder.exportSymbols("SNMP-VIEW-BASED-ACM-MIB", snmpVacmMIB=snmpVacmMIB, vacmMIBObjects=vacmMIBObjects, vacmContextTable=vacmContextTable, vacmContextEntry=vacmContextEntry, vacmContextName=vacmContextName, vacmSecurityToGroupTable=vacmSecurityToGroupTable, vacmSecurityToGroupEntry=vacmSecurityToGroupEntry, vacmSecurityModel=vacmSecurityModel, vacmSecurityName=vacmSecurityName, vacmGroupName=vacmGroupName, vacmSecurityToGroupStorageType=vacmSecurityToGroupStorageType, vacmSecurityToGroupStatus=vacmSecurityToGroupStatus, vacmAccessTable=vacmAccessTable, vacmAccessEntry=vacmAccessEntry, vacmAccessContextPrefix=vacmAccessContextPrefix, vacmAccessSecurityModel=vacmAccessSecurityModel, vacmAccessSecurityLevel=vacmAccessSecurityLevel, vacmAccessContextMatch=vacmAccessContextMatch, vacmAccessReadViewName=vacmAccessReadViewName, vacmAccessWriteViewName=vacmAccessWriteViewName, vacmAccessNotifyViewName=vacmAccessNotifyViewName, vacmAccessStorageType=vacmAccessStorageType, vacmAccessStatus=vacmAccessStatus, vacmMIBViews=vacmMIBViews, vacmViewSpinLock=vacmViewSpinLock, vacmViewTreeFamilyTable=vacmViewTreeFamilyTable, vacmViewTreeFamilyEntry=vacmViewTreeFamilyEntry, vacmViewTreeFamilyViewName=vacmViewTreeFamilyViewName, vacmViewTreeFamilySubtree=vacmViewTreeFamilySubtree, vacmViewTreeFamilyMask=vacmViewTreeFamilyMask, vacmViewTreeFamilyType=vacmViewTreeFamilyType, vacmViewTreeFamilyStorageType=vacmViewTreeFamilyStorageType, vacmViewTreeFamilyStatus=vacmViewTreeFamilyStatus, vacmMIBConformance=vacmMIBConformance, vacmMIBCompliances=vacmMIBCompliances, vacmMIBGroups=vacmMIBGroups)
# Groups
mibBuilder.exportSymbols("SNMP-VIEW-BASED-ACM-MIB", vacmBasicGroup=vacmBasicGroup)
# Compliances
mibBuilder.exportSymbols("SNMP-VIEW-BASED-ACM-MIB", vacmMIBCompliance=vacmMIBCompliance)
| 248.625
| 2,569
| 0.786397
| 3,801
| 27,846
| 5.760063
| 0.199947
| 0.003837
| 0.005207
| 0.006943
| 0.326939
| 0.280396
| 0.235361
| 0.217183
| 0.195853
| 0.161917
| 0
| 0.028897
| 0.120125
| 27,846
| 111
| 2,570
| 250.864865
| 0.864699
| 0.011492
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| 1
| 0.369048
| 0.657422
| 0.113732
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| 0.095238
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| null | 0
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| 0
| 0
| 0
| 0
|
0
| 5
|
b04875b9bde1adae00640aa1096e825d9647702a
| 52
|
py
|
Python
|
reporec/app.py
|
dgasmith/reporec
|
c03fe2a32278a6cc7aac5e910c64d5df10f4ce61
|
[
"BSD-3-Clause"
] | 3
|
2018-10-27T22:34:35.000Z
|
2019-01-19T18:11:23.000Z
|
reporec/app.py
|
dgasmith/reporec
|
c03fe2a32278a6cc7aac5e910c64d5df10f4ce61
|
[
"BSD-3-Clause"
] | 4
|
2018-10-27T22:36:40.000Z
|
2019-01-19T18:20:09.000Z
|
reporec/app.py
|
dgasmith/reporec
|
c03fe2a32278a6cc7aac5e910c64d5df10f4ce61
|
[
"BSD-3-Clause"
] | 2
|
2018-10-27T21:13:26.000Z
|
2019-01-11T13:34:56.000Z
|
# import falcon
# api = application = falcon.API()
| 13
| 34
| 0.673077
| 6
| 52
| 5.833333
| 0.666667
| 0.514286
| 0
| 0
| 0
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| 0
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| 0
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| 0
| 0.192308
| 52
| 3
| 35
| 17.333333
| 0.833333
| 0.884615
| 0
| null | 0
| null | 0
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| null | true
| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c6d4a384e1d8f49786418a12a31939099d33170d
| 310
|
py
|
Python
|
ask/qa/views.py
|
ztp99/pywebstepic
|
59ffd969cb8dc0d602941d6676757cc4e9f7858b
|
[
"Apache-2.0"
] | null | null | null |
ask/qa/views.py
|
ztp99/pywebstepic
|
59ffd969cb8dc0d602941d6676757cc4e9f7858b
|
[
"Apache-2.0"
] | null | null | null |
ask/qa/views.py
|
ztp99/pywebstepic
|
59ffd969cb8dc0d602941d6676757cc4e9f7858b
|
[
"Apache-2.0"
] | null | null | null |
# ask/qa
from django.shortcuts import render
from django.utils.html import escape
# Create your views here.
from django.http import HttpResponse
def test (request, *args, **kwargs):
return HttpResponse(escape(repr(request)))
def quest (request, *args, **kwargs):
return HttpResponse('QUEST IS OK')
| 25.833333
| 46
| 0.73871
| 42
| 310
| 5.452381
| 0.619048
| 0.131004
| 0.148472
| 0.200873
| 0.305677
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151613
| 310
| 12
| 47
| 25.833333
| 0.870722
| 0.096774
| 0
| 0
| 0
| 0
| 0.039568
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.428571
| 0.285714
| 1
| 0
| 0
| 0
| 0
| null | 0
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| 1
| 0
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| 1
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| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
059ed401109d4670588d2d7a5cb6310bc534c8b7
| 266
|
py
|
Python
|
katas/beta/rammstein_needs_your_help.py
|
the-zebulan/CodeWars
|
1eafd1247d60955a5dfb63e4882e8ce86019f43a
|
[
"MIT"
] | 40
|
2016-03-09T12:26:20.000Z
|
2022-03-23T08:44:51.000Z
|
katas/beta/rammstein_needs_your_help.py
|
akalynych/CodeWars
|
1eafd1247d60955a5dfb63e4882e8ce86019f43a
|
[
"MIT"
] | null | null | null |
katas/beta/rammstein_needs_your_help.py
|
akalynych/CodeWars
|
1eafd1247d60955a5dfb63e4882e8ce86019f43a
|
[
"MIT"
] | 36
|
2016-11-07T19:59:58.000Z
|
2022-03-31T11:18:27.000Z
|
def feuer_frei(concentration, barrels):
fuel_hours = barrels * concentration
if fuel_hours < 100:
return '{} Stunden mehr Benzin ben\xf6tigt.'.format(100 - fuel_hours)
elif fuel_hours == 100:
return 'Perfekt!'
return fuel_hours - 100
| 33.25
| 77
| 0.672932
| 33
| 266
| 5.242424
| 0.545455
| 0.260116
| 0.208092
| 0.208092
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.063725
| 0.233083
| 266
| 7
| 78
| 38
| 0.784314
| 0
| 0
| 0
| 0
| 0
| 0.161654
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0
| 0
| 0.571429
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
05c15eaeb28505feb4dc8a9fd84472afc33bb3a8
| 44
|
py
|
Python
|
setup/blender/init.py
|
tokejepsen/pype
|
8f2b2b631cc5d3ad93eeb5ad3bc6110d32466ed3
|
[
"MIT"
] | null | null | null |
setup/blender/init.py
|
tokejepsen/pype
|
8f2b2b631cc5d3ad93eeb5ad3bc6110d32466ed3
|
[
"MIT"
] | null | null | null |
setup/blender/init.py
|
tokejepsen/pype
|
8f2b2b631cc5d3ad93eeb5ad3bc6110d32466ed3
|
[
"MIT"
] | null | null | null |
from pype import blender
blender.install()
| 11
| 24
| 0.795455
| 6
| 44
| 5.833333
| 0.833333
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0.136364
| 44
| 3
| 25
| 14.666667
| 0.921053
| 0
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| 0
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| 1
| 0
| true
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| 0.5
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| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 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
| 0
| 0
|
0
| 5
|
05df36f1c84d19bc399b0a1652440997855ebcb8
| 91
|
py
|
Python
|
built-in/TensorFlow/Research/cv/image_classification/Cars_for_TensorFlow/automl/vega/search_space/networks/pytorch/utils/bbox_utils/assigner/__init__.py
|
Huawei-Ascend/modelzoo
|
df51ed9c1d6dbde1deef63f2a037a369f8554406
|
[
"Apache-2.0"
] | 12
|
2020-12-13T08:34:24.000Z
|
2022-03-20T15:17:17.000Z
|
built-in/TensorFlow/Research/cv/image_classification/Cars_for_TensorFlow/automl/vega/search_space/networks/pytorch/utils/bbox_utils/assigner/__init__.py
|
Huawei-Ascend/modelzoo
|
df51ed9c1d6dbde1deef63f2a037a369f8554406
|
[
"Apache-2.0"
] | 3
|
2021-03-31T20:15:40.000Z
|
2022-02-09T23:50:46.000Z
|
built-in/TensorFlow/Research/cv/image_classification/Darts_for_TensorFlow/automl/vega/search_space/networks/pytorch/utils/bbox_utils/assigner/__init__.py
|
Huawei-Ascend/modelzoo
|
df51ed9c1d6dbde1deef63f2a037a369f8554406
|
[
"Apache-2.0"
] | 2
|
2021-07-10T12:40:46.000Z
|
2021-12-17T07:55:15.000Z
|
from .assign_result import AssignResult
from .all_neg_assigner import MaxIoUAllNegAssigner
| 30.333333
| 50
| 0.89011
| 11
| 91
| 7.090909
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.087912
| 91
| 2
| 51
| 45.5
| 0.939759
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
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| 1
| 0
| true
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| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
05e5a142a0c151f0e3b13eeb576dc1fa3c336f25
| 126
|
py
|
Python
|
app/main/__init__.py
|
KempinGe/KempinGe_Blog
|
06e6c6bb68fa0a6cd424756794a0686010ce812d
|
[
"Apache-2.0"
] | null | null | null |
app/main/__init__.py
|
KempinGe/KempinGe_Blog
|
06e6c6bb68fa0a6cd424756794a0686010ce812d
|
[
"Apache-2.0"
] | null | null | null |
app/main/__init__.py
|
KempinGe/KempinGe_Blog
|
06e6c6bb68fa0a6cd424756794a0686010ce812d
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding:utf-8 -*-
from flask import Blueprint
main = Blueprint('main',__name__)
from . import errors,views
| 6.631579
| 33
| 0.634921
| 15
| 126
| 5.066667
| 0.733333
| 0.342105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010309
| 0.230159
| 126
| 18
| 34
| 7
| 0.773196
| 0.15873
| 0
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| 0
| 0
| 0.042553
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
|
0
| 5
|
af1267ba1946daf6b500635f15312000a103e166
| 24
|
py
|
Python
|
enemy.py
|
frederikstroem/new-direction
|
2c07dfa3cef31cf8c2c4d1ea481e85b70268d31e
|
[
"MIT"
] | null | null | null |
enemy.py
|
frederikstroem/new-direction
|
2c07dfa3cef31cf8c2c4d1ea481e85b70268d31e
|
[
"MIT"
] | null | null | null |
enemy.py
|
frederikstroem/new-direction
|
2c07dfa3cef31cf8c2c4d1ea481e85b70268d31e
|
[
"MIT"
] | null | null | null |
class Enemy():
pass
| 8
| 14
| 0.583333
| 3
| 24
| 4.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.291667
| 24
| 2
| 15
| 12
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
af1f4516ef55f93de6645d021e4e0d92f7fe525d
| 161
|
py
|
Python
|
reddit_backend/reddit/admin.py
|
cursedclock/reddit-backend
|
fb5989c758f5459e510f6599c9b9798424c17ba9
|
[
"MIT"
] | 1
|
2022-01-30T17:27:44.000Z
|
2022-01-30T17:27:44.000Z
|
reddit_backend/reddit/admin.py
|
cursedclock/reddit-backend
|
fb5989c758f5459e510f6599c9b9798424c17ba9
|
[
"MIT"
] | null | null | null |
reddit_backend/reddit/admin.py
|
cursedclock/reddit-backend
|
fb5989c758f5459e510f6599c9b9798424c17ba9
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import User, UserProfile
# Register your models here.
admin.site.register(User)
admin.site.register(UserProfile)
| 20.125
| 37
| 0.807453
| 22
| 161
| 5.909091
| 0.545455
| 0.138462
| 0.261538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111801
| 161
| 7
| 38
| 23
| 0.909091
| 0.161491
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
| 0
|
0
| 5
|
af2379b7c278bc6d1a5094e29739f61d2b525c00
| 63
|
py
|
Python
|
MonocularDepthEstimation/src/train/customlossfunction/__init__.py
|
csharpshooter/DeepLearning
|
c1d20660c32076468970f7376931e1fcd0d2644e
|
[
"MIT"
] | null | null | null |
MonocularDepthEstimation/src/train/customlossfunction/__init__.py
|
csharpshooter/DeepLearning
|
c1d20660c32076468970f7376931e1fcd0d2644e
|
[
"MIT"
] | null | null | null |
MonocularDepthEstimation/src/train/customlossfunction/__init__.py
|
csharpshooter/DeepLearning
|
c1d20660c32076468970f7376931e1fcd0d2644e
|
[
"MIT"
] | null | null | null |
from .diceloss import DiceLoss
from .dicecoeff import DiceCoeff
| 31.5
| 32
| 0.857143
| 8
| 63
| 6.75
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 63
| 2
| 32
| 31.5
| 0.964286
| 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
| 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
| 5
|
afa27681a7ebe509ea8956268ea3493cff0f9d2e
| 34
|
py
|
Python
|
jawfish/static/script/Lib/site-packages/requests.py
|
NeolithEra/jawfish
|
22fe222e607f0ad275860c75d81ab41114a18eb3
|
[
"MIT"
] | 52
|
2016-08-08T15:08:19.000Z
|
2022-03-23T09:48:53.000Z
|
jawfish/static/script/Lib/site-packages/requests.py
|
NeolithEra/jawfish
|
22fe222e607f0ad275860c75d81ab41114a18eb3
|
[
"MIT"
] | 6
|
2016-10-09T19:50:49.000Z
|
2019-08-17T15:34:21.000Z
|
jawfish/static/script/Lib/site-packages/requests.py
|
NeolithEra/jawfish
|
22fe222e607f0ad275860c75d81ab41114a18eb3
|
[
"MIT"
] | 15
|
2017-02-03T03:08:57.000Z
|
2021-08-04T06:11:15.000Z
|
from .requests import __init__.py
| 17
| 33
| 0.823529
| 5
| 34
| 4.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 34
| 1
| 34
| 34
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 1
| null | null | 0
| 1
| 1
| 0
| null | 0
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
afabf0ce2185370a7da3cb2701d2b97943bb83db
| 177
|
py
|
Python
|
tests/test_generate.py
|
mariushelf/factory_boss
|
b9f9c99ea731e2af1c6951f734e20ffe05ba1693
|
[
"MIT"
] | 1
|
2021-06-03T12:47:17.000Z
|
2021-06-03T12:47:17.000Z
|
tests/test_generate.py
|
mariushelf/factory_boss
|
b9f9c99ea731e2af1c6951f734e20ffe05ba1693
|
[
"MIT"
] | 5
|
2021-05-25T12:46:00.000Z
|
2021-05-27T18:32:37.000Z
|
tests/test_generate.py
|
mariushelf/factory_boss
|
b9f9c99ea731e2af1c6951f734e20ffe05ba1693
|
[
"MIT"
] | null | null | null |
from factory_boss.scripts.generate import main
def test_generate_does_not_raise():
main()
assert True, "if we reach this line then main() from generate did not raise"
| 25.285714
| 80
| 0.757062
| 28
| 177
| 4.607143
| 0.75
| 0.124031
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175141
| 177
| 6
| 81
| 29.5
| 0.883562
| 0
| 0
| 0
| 1
| 0
| 0.344633
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| true
| 0
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
afd3f2778e5b09c6c945894e6e38c1c58540a462
| 229
|
py
|
Python
|
{{ cookiecutter.project_slug }}/{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}_base.py
|
Chemios/cookiecutter-chemios
|
0f937c438615177449aefee4d7bd1992ddc8f16b
|
[
"BSD-3-Clause"
] | null | null | null |
{{ cookiecutter.project_slug }}/{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}_base.py
|
Chemios/cookiecutter-chemios
|
0f937c438615177449aefee4d7bd1992ddc8f16b
|
[
"BSD-3-Clause"
] | null | null | null |
{{ cookiecutter.project_slug }}/{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}_base.py
|
Chemios/cookiecutter-chemios
|
0f937c438615177449aefee4d7bd1992ddc8f16b
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Base Class for {{ cookiecutter.instrument_type}} """
from abc import ABC
class {{ cookiecutter.instrument_type.title().replace(' ', '').replace('-','') }}(ABC):
def __init__(self):
pass
| 20.818182
| 87
| 0.60262
| 25
| 229
| 5.28
| 0.72
| 0.333333
| 0.393939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005291
| 0.174672
| 229
| 10
| 88
| 22.9
| 0.693122
| 0.091703
| 0
| 0
| 0
| 0
| 0.013333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.25
| 0.25
| null | null | 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
bb782d5ebe421abe4dbccd675c68b6da870b7cdb
| 70
|
py
|
Python
|
granule_ingester/granule_ingester/consumer/__init__.py
|
kevinmarlis/incubator-sdap-ingester
|
7ee17fdf16201c499f7bd35cf398844f2c70f046
|
[
"Apache-2.0"
] | null | null | null |
granule_ingester/granule_ingester/consumer/__init__.py
|
kevinmarlis/incubator-sdap-ingester
|
7ee17fdf16201c499f7bd35cf398844f2c70f046
|
[
"Apache-2.0"
] | 1
|
2021-05-03T22:13:11.000Z
|
2021-05-03T22:13:11.000Z
|
granule_ingester/granule_ingester/consumer/__init__.py
|
kevinmarlis/incubator-sdap-ingester
|
7ee17fdf16201c499f7bd35cf398844f2c70f046
|
[
"Apache-2.0"
] | null | null | null |
from granule_ingester.consumer.MessageConsumer import MessageConsumer
| 35
| 69
| 0.914286
| 7
| 70
| 9
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.057143
| 70
| 1
| 70
| 70
| 0.954545
| 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
| 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
| 5
|
bb7fa5bc494cf138b975c984dc3821302bfde18f
| 86
|
py
|
Python
|
examples/django_app/api/admin.py
|
nbxorg/webservices
|
e66e426b6eb7c91228667f2813a4a8bf70d5571d
|
[
"BSD-3-Clause"
] | 14
|
2015-11-24T08:56:32.000Z
|
2022-03-13T22:52:42.000Z
|
examples/django_app/api/admin.py
|
nbxorg/webservices
|
e66e426b6eb7c91228667f2813a4a8bf70d5571d
|
[
"BSD-3-Clause"
] | 2
|
2015-11-25T06:29:13.000Z
|
2016-05-10T15:00:06.000Z
|
examples/django_app/api/admin.py
|
nbxorg/webservices
|
e66e426b6eb7c91228667f2813a4a8bf70d5571d
|
[
"BSD-3-Clause"
] | 4
|
2016-06-08T22:41:05.000Z
|
2018-07-25T18:09:06.000Z
|
from django.contrib import admin
from api.models import Key
admin.site.register(Key)
| 17.2
| 32
| 0.813953
| 14
| 86
| 5
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116279
| 86
| 4
| 33
| 21.5
| 0.921053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 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
| 5
|
bb95203ad6a90afd88ebecb43122665067f20470
| 39,647
|
py
|
Python
|
tests/integration/test_api_networks_create.py
|
shildenbrand/GloboNetworkAPI-client-python
|
728ea9d13e3004e62586f5eb6ae2eae2bc41a50e
|
[
"Apache-2.0"
] | 16
|
2015-05-09T16:33:01.000Z
|
2019-10-24T19:06:03.000Z
|
tests/integration/test_api_networks_create.py
|
shildenbrand/GloboNetworkAPI-client-python
|
728ea9d13e3004e62586f5eb6ae2eae2bc41a50e
|
[
"Apache-2.0"
] | 3
|
2019-08-09T20:18:12.000Z
|
2019-11-11T17:23:48.000Z
|
tests/integration/test_api_networks_create.py
|
shildenbrand/GloboNetworkAPI-client-python
|
728ea9d13e3004e62586f5eb6ae2eae2bc41a50e
|
[
"Apache-2.0"
] | 15
|
2015-02-03T17:10:59.000Z
|
2021-05-14T21:01:37.000Z
|
# -*- coding: utf-8 -*-
import logging
import os
import sys
from itertools import izip
from time import time
from unittest import TestCase
from networkapiclient.ClientFactory import ClientFactory
log = logging.getLogger()
log.level = logging.DEBUG
stream_handler = logging.StreamHandler(sys.stdout)
log.addHandler(stream_handler)
class ApiNetworksTestCase(TestCase):
def setUp(self):
self.networkapi_url = os.getenv(
'NETWORKAPI_URL', 'http://10.0.0.2:8000/')
self.networkapi_user = os.getenv(
'NETWORKAPI_USER', 'networkapi')
self.networkapi_pwd = os.getenv('NETWORKAPI_PWD', 'networkapi')
self.client_api = ClientFactory(
self.networkapi_url, self.networkapi_user, self.networkapi_pwd)
self.sufix = time()
self.configs()
self.objects = dict()
def tearDown(self):
try:
# Removes Vlans of Racks
self.remove_all_vlans([self.objects['id_envrk_A']])
self.remove_all_vlans([self.objects['id_envrk_B']])
self.remove_all_vlans([self.objects['id_envrk_C']])
self.remove_all_vlans([self.objects['id_envrk_D']])
except:
pass
try:
# Removes environment of load balancing
self.client_api.create_api_environment()\
.delete(self.objects['id_envlb'])
# Removes environment of racks
self.client_api.create_api_environment()\
.delete(self.objects['id_envrk_A'])
self.client_api.create_api_environment()\
.delete(self.objects['id_envrk_B'])
self.client_api.create_api_environment()\
.delete(self.objects['id_envrk_C'])
self.client_api.create_api_environment()\
.delete(self.objects['id_envrk_D'])
except:
pass
# Removes vrfs
try:
self.client_api.create_api_vrf().delete(self.objects['id_vrf'])
except:
pass
# Removes Environment DC
for id_envdc in self.objects['id_envdc']:
try:
self.client_api.create_divisao_dc().remover(id_envdc)
except:
pass
# Removes Environment Logic
for id_envlog in self.objects['id_envlog']:
try:
self.client_api.create_ambiente_logico().remover(id_envlog)
except:
pass
# Removes Environment layer 3 for load balancing
for id_envl3 in self.objects['id_envl3']:
try:
self.client_api.create_grupo_l3().remover(id_envl3)
except:
pass
# Removes eqpts
try:
self.client_api.create_api_create().delete(self.objects['id_eqpt'])
except:
pass
def test_create_networkv4_by_zero(self):
"""
Test of integration for create environment, vlan, eqpt networks v4.
##################
Starting test:
- environment A:
- eqpt 1, 2, 3
- vrf 1
- starting vlans 1,2,3
- environment B:
- eqpt 2, 4, 5
- vrf 1
- starting vlans 4, 5, 6, 7, 8, 9
- environment C:
- EQpt 5, 6
- vrf 2
- startinG vlans 10, 11
- environment D:
- eqpt 7
- vrf 1
- starting vlans 1
##################
##################
Inserting new vlans without numbers:
- environment A: Expected 10
- environment B: Expected 12
- environment C: Expected 1
- environment C: Expected 2
- environment C: Expected 3
- environment C: Expected 13
- environment B: Expected 14
- environment B: Expected 15
- environment B: Expected 16
- environment A: Expected 11
- environment A: Expected 13
- environment A: Expected 17
- environment A: Expected 18
- environment B: Expected 19
- environment C: Expected 17
- environment D: Expected 1
##################
##################
Starting networks:
environment A:
Nothing
environment B:
10.0.1.0/24
10.0.2.0/25
10.0.3.0/24
environment C:
Nothing
environment D:
Nothing
##################
##################
Inserting networks without octs:
- environment B: Expected 10.0.0.0/24
- environment C: Expected 10.0.0.0/25
- environment C using prefix 24: Expected 10.0.1.0/24
- environment A: Expected 10.0.2.128/25
- environment A: Expected 10.0.4.0/25
- environment B: Expected 10.0.5.0/24
- environment A: Expected 10.0.4.128/25
- environment D: Expected 10.0.0.0/24
##################
"""
# Creates VRF 1
id_vrf_a = self.create_vrf('BeTeste-1')
self.objects['id_vrf'] = [id_vrf_a]
# Creates VRF 2
id_vrf_b = self.create_vrf('BeTeste-2')
self.objects['id_vrf'].append(id_vrf_b)
# Creates Environment DC and Logic
id_envdc = self.create_envdc('BE-TESTE')
id_envlog = self.create_envlog('TESTE')
self.objects['id_envdc'] = [id_envdc]
self.objects['id_envlog'] = [id_envlog]
# Creates environment layer 3 for load balancing
id_envl3 = self.create_envl3('BALANCEAMENTO-POOL')
self.objects['id_envl3'] = [id_envl3]
# Creates environment of load balancing
id_env = self.create_env(id_envl3, id_envlog, id_envdc,
id_vrf_a, self.configs['env_lb'])
self.objects['id_envlb'] = [id_env]
env_list = {'A': id_vrf_a, 'B': id_vrf_a, 'C': id_vrf_b, 'D': id_vrf_a}
# Creates environments of racks
for i in env_list:
# Creates environment layer 3 for racks
id_envl3 = self.create_envl3('RACK-%s' % i)
self.objects['id_envl3'].append(id_envl3)
id_env = self.create_env(id_envl3, id_envlog, id_envdc,
env_list[i], self.configs[i])
self.objects['id_envrk_' + i] = id_env
# Creates equipments with relationship environments
self.create_equipments()
# Creates vlans with numbers
self.create_vlans_with_number_envs()
# Creates vlans with auto numbers
self.create_vlans_without_number()
# Creates networks v4 with octs
self.create_netv4_with_octs()
# Creates networks with auto octs and prefix
self.create_netv4_without_octs()
def test_create_networkv6_by_zero(self):
"""
Test of integration for create environment, vlan, eqpt networks v6.
##################
Starting test:
- environment A:
- eqpt 1, 2, 3
- vrf 1
- starting vlans 1,2,3
- environment B:
- eqpt 2, 4, 5
- vrf 1
- starting vLANS 4, 5, 6, 7, 8, 9
- environment C:
- EQpt 5, 6
- vrf 2
- startinG VLANS 10, 11
- environment D:
- eqpt 7
- vrf 1
- starting vlans 1
##################
##################
Inserting new vlans:
- environment A: 10
- environment B: 12
- environment C: 1
- environment C: 2
- environment C: 3
- environment C: 13
- environment B: 14
- environment B: 15
- environment B: 16
- environment A: 11
- environment A: 13
- environment A: 17
- environment A: 18
- environment B: 19
- environment C: 17
- environment D: 1
##################
##################
Starting networks:
environment A:
Nothing
environment B:
fdbe:bebe:bebe:1201:0000:0000:0000:0000/64
fdbe:bebe:bebe:1202:0000:0000:0000:0000/65
fdbe:bebe:bebe:1203:0000:0000:0000:0000/64
environment C:
Nothing
environment D:
Nothing
##################
##################
Inserting networks:
- environment B:fdbe:bebe:bebe:1200:0000:0000:0000:0000/64
- environment C:fdbe:bebe:bebe:1200:0000:0000:0000:0000/65
- environment C using prefix 24: fdbe:bebe:bebe:1201:0000:0000:0000:0000/64
- environment A:fdbe:bebe:bebe:1202:8000:0000:0000:0000/65
- environment A:fdbe:bebe:bebe:1204:0000:0000:0000:0000/65
- environment B:fdbe:bebe:bebe:1205:0000:0000:0000:0000/64
- environment A:fdbe:bebe:bebe:1204:8000:0000:0000:0000/65
- environment D:fdbe:bebe:bebe:1200:0000:0000:0000:0000/64
##################
"""
# Creates VRF 1
id_vrf_a = self.create_vrf('BeTeste-1')
self.objects['id_vrf'] = [id_vrf_a]
# Creates VRF 2
id_vrf_b = self.create_vrf('BeTeste-2')
self.objects['id_vrf'].append(id_vrf_b)
# Creates Environment DC and Logic
id_envdc = self.create_envdc('BE-TESTE')
id_envlog = self.create_envlog('TESTE')
self.objects['id_envdc'] = [id_envdc]
self.objects['id_envlog'] = [id_envlog]
# Creates environment layer 3 for load balancing
id_envl3 = self.create_envl3('BALANCEAMENTO-POOL')
self.objects['id_envl3'] = [id_envl3]
# Creates environment of load balancing
id_env = self.create_env(id_envl3, id_envlog, id_envdc,
id_vrf_a, self.configs['env_lb'])
self.objects['id_envlb'] = [id_env]
env_list = {'A': id_vrf_a, 'B': id_vrf_a, 'C': id_vrf_b, 'D': id_vrf_a}
# Creates environments of racks
for i in env_list:
# Creates environment layer 3 for racks
id_envl3 = self.create_envl3('RACK-%s' % i)
self.objects['id_envl3'].append(id_envl3)
id_env = self.create_env(id_envl3, id_envlog, id_envdc,
env_list[i], self.configs[i])
self.objects['id_envrk_' + i] = id_env
# Creates equipments with relationship environments
self.create_equipments()
# Creates vlans with numbers
self.create_vlans_with_number_envs()
# Creates vlans with auto numbers
self.create_vlans_without_number()
# Creates networks with octs
self.create_netv6_with_octs()
# Creates networks with auto octs and prefix
self.create_netv6_without_octs()
def configs(self):
self.configs = {
'env_lb': [{
'subnet': 'febe:bebe:bebe:8200:0:0:0:0/57',
'new_prefix': '64',
'type': 'v6',
'network_type': 8
}, {
'subnet': '10.10.0.0/16',
'new_prefix': '24',
'type': 'v4',
'network_type': 8
}],
'A': [{
'subnet': 'fdbe:bebe:bebe:1200:0000:0000:0000:0000/57',
'new_prefix': '65',
'type': 'v6',
'network_type': 8
}, {
'subnet': '10.0.0.0/16',
'new_prefix': '25',
'type': 'v4',
'network_type': 8
}],
'B': [{
'subnet': 'fdbe:bebe:bebe:1200:0000:0000:0000:0000/57',
'new_prefix': '64',
'type': 'v6',
'network_type': 8
}, {
'subnet': '10.0.0.0/16',
'new_prefix': '24',
'type': 'v4',
'network_type': 8
}],
'C': [{
'subnet': 'fdbe:bebe:bebe:1200:0000:0000:0000:0000/57',
'new_prefix': '65',
'type': 'v6',
'network_type': 8
}, {
'subnet': '10.0.0.0/16',
'new_prefix': '25',
'type': 'v4',
'network_type': 8
}],
'D': [{
'subnet': 'fdbe:bebe:bebe:1200:0000:0000:0000:0000/57',
'new_prefix': '64',
'type': 'v6',
'network_type': 8
}, {
'subnet': '10.0.0.0/16',
'new_prefix': '24',
'type': 'v4',
'network_type': 8
}]
}
def create_envdc(self, name):
"""Creates Environment DC"""
id_envdc = self.client_api.create_divisao_dc()\
.inserir('%s-%s' % (name, self.sufix))['division_dc']['id']
return id_envdc
def create_envlog(self, name):
"""Creates Environment Logic"""
id_envlog = self.client_api.create_ambiente_logico()\
.inserir('%s-%s' % (name, self.sufix))['logical_environment']['id']
return id_envlog
def create_envl3(self, name):
"""Creates environment layer 3 for load balancing."""
id_envl3 = self.client_api.create_grupo_l3()\
.inserir('%s-%s' % (name, self.sufix))['group_l3']['id']
return id_envl3
def create_vrf(self, name):
"""Creates VRF."""
vrf_dict = [{
'internal_name': '%s-%s' % (name, self.sufix),
'vrf': '%s-%s' % (name, self.sufix)
}]
id_vrf = self.client_api.create_api_vrf()\
.create(vrf_dict)[0]['id']
return id_vrf
def create_env(self, id_envl3, id_envlog, id_envdc, id_vrf, configs):
"""Creates environment."""
env_dict = [{
'grupo_l3': int(id_envl3),
'ambiente_logico': int(id_envlog),
'divisao_dc': int(id_envdc),
'filter': 1,
'default_vrf': id_vrf,
'min_num_vlan_1': 1,
'max_num_vlan_1': 500,
'min_num_vlan_2': 1000,
'max_num_vlan_2': 1500,
'configs': configs
}]
id_env = self.client_api.create_api_environment()\
.create(env_dict)[0]['id']
return id_env
def create_equipments(self):
"""Creates equipments."""
eqpt_dict = [{
'name': 'TESTE-EQUIP-1%s' % self.sufix,
'maintenance': False,
'equipment_type': 3,
'model': 1,
'environments': [{
'is_router': False,
'environment': self.objects['id_envrk_A']
}]
}, {
'name': 'TESTE-EQUIP-2%s' % self.sufix,
'maintenance': False,
'equipment_type': 3,
'model': 1,
'environments': [{
'is_router': False,
'environment': self.objects['id_envrk_A']
}]
}, {
'name': 'TESTE-EQUIP-3%s' % self.sufix,
'maintenance': False,
'equipment_type': 3,
'model': 1,
'environments': [{
'is_router': False,
'environment': self.objects['id_envrk_A']
}, {
'is_router': False,
'environment': self.objects['id_envrk_B']
}]
}, {
'name': 'TESTE-EQUIP-4%s' % self.sufix,
'maintenance': False,
'equipment_type': 3,
'model': 1,
'environments': [{
'is_router': False,
'environment': self.objects['id_envrk_B']
}]
}, {
'name': 'TESTE-EQUIP-5%s' % self.sufix,
'maintenance': False,
'equipment_type': 3,
'model': 1,
'environments': [{
'is_router': False,
'environment': self.objects['id_envrk_B']
}, {
'is_router': False,
'environment': self.objects['id_envrk_C']
}]
}, {
'name': 'TESTE-EQUIP-6%s' % self.sufix,
'maintenance': False,
'equipment_type': 3,
'model': 1,
'environments': [{
'is_router': False,
'environment': self.objects['id_envrk_C']
}]
}, {
'name': 'TESTE-EQUIP-7%s' % self.sufix,
'maintenance': False,
'equipment_type': 3,
'model': 1,
'environments': [{
'is_router': False,
'environment': self.objects['id_envrk_D']
}]
}]
ids = self.client_api.create_api_equipment().create(eqpt_dict)
self.objects['id_eqpt'] = ids
def create_vlans_without_number(self):
"""Creates vlans without number."""
id_env_a = self.objects['id_envrk_A']
id_env_b = self.objects['id_envrk_B']
id_env_c = self.objects['id_envrk_C']
id_env_d = self.objects['id_envrk_D']
list_envs_alocate_vlans = [
id_env_a, id_env_b, id_env_c, id_env_c, id_env_c, id_env_c,
id_env_b, id_env_b, id_env_b, id_env_a, id_env_a, id_env_a,
id_env_a, id_env_b, id_env_c, id_env_d
]
list_expected_num_vlans = [
10, 12, 1, 2, 3, 13, 14, 15, 16, 11, 13, 17, 18, 19, 17, 1
]
vlans = []
for i, id_env in enumerate(list_envs_alocate_vlans):
vlan = [{
'name': 'Vlan auto %s - %s' % (i, self.sufix),
'environment': id_env
}]
id_vlan = [self.client_api.create_api_vlan().create(vlan)[0]['id']]
vlan_obj = self.client_api.create_api_vlan().get(id_vlan)[
'vlans'][0]
vlans.append(vlan_obj)
self.verify_num_vlan(vlans, list_expected_num_vlans)
def create_vlans_with_number(self, nums_vlan, id_env):
"""Creates vlans with number."""
vlans = []
for num_vlan in nums_vlan:
vlan = [{
'name': 'Vlan %s' % (num_vlan),
'environment': id_env,
'num_vlan': num_vlan
}]
id_vlan = [self.client_api.create_api_vlan().create(vlan)[0]['id']]
vlan_obj = self.client_api.create_api_vlan().get(id_vlan)[
'vlans'][0]
vlans.append(vlan_obj)
return vlans
def create_vlans_with_number_envs(self):
"""Creates vlans with number for environments A, B and C."""
id_env_a = self.objects['id_envrk_A']
id_env_b = self.objects['id_envrk_B']
id_env_c = self.objects['id_envrk_C']
# Environment A
# [1, 2, 3]
nums_vlan = range(1, 4)
# Creates Vlans
id_vlans = self.create_vlans_with_number(nums_vlan, id_env_a)
ids = [id_vlan['id'] for id_vlan in id_vlans]
# Get Vlans
vlans = self.client_api.create_api_vlan().get(ids)['vlans']
# Verify num vlans was created
self.verify_num_vlan(vlans, nums_vlan)
# Environment B
# [4, 5, 6, 7, 8, 9]
nums_vlan = range(4, 10)
# Creates Vlans
id_vlans = self.create_vlans_with_number(nums_vlan, id_env_b)
ids = [id_vlan['id'] for id_vlan in id_vlans]
# Get Vlans
vlans = self.client_api.create_api_vlan().get(ids)['vlans']
# Verify num vlans was created
self.verify_num_vlan(vlans, nums_vlan)
# Environment C
# [10, 11]
nums_vlan = range(10, 12)
# Creates Vlans
id_vlans = self.create_vlans_with_number(nums_vlan, id_env_c)
ids = [id_vlan['id'] for id_vlan in id_vlans]
# Get Vlans
vlans = self.client_api.create_api_vlan().get(ids)['vlans']
# Verify num vlans was created
self.verify_num_vlan(vlans, nums_vlan)
def verify_num_vlan(self, objs, nums_vlan):
for obj, num_vlan in izip(objs, nums_vlan):
self.assertEqual(
num_vlan,
obj.get('num_vlan'),
'Num vlan should be %s was %s' % (
num_vlan, obj.get('num_vlan'))
)
def search_all_vlans(self, ids_env):
search_vlan = {
'start_record': 0,
'end_record': 100,
'asorting_cols': [],
'searchable_columns': [],
'extends_search': [
{'ambiente': id_env} for id_env in ids_env
]
}
vlans = self.client_api.create_api_vlan()\
.search(search=search_vlan, fields=['id'])['vlans']
ids_vlans = [id_vlan['id'] for id_vlan in vlans]
return ids_vlans
def remove_all_vlans(self, ids_env):
ids_vlans = self.search_all_vlans(ids_env)
if ids_vlans:
search_net = {
'start_record': 0,
'end_record': 100,
'asorting_cols': [],
'searchable_columns': [],
'extends_search': [{'vlan': id_vlan} for id_vlan in ids_vlans]
}
networks = self.client_api.create_api_network_ipv4()\
.search(search=search_net, fields=['id'])['networks']
ids_networks = [id['id'] for id in networks]
if ids_networks:
self.client_api.create_api_network_ipv4().delete(ids_networks)
networks = self.client_api.create_api_network_ipv6()\
.search(search=search_net, fields=['id'])['networks']
ids_networks = [id['id'] for id in networks]
if ids_networks:
self.client_api.create_api_network_ipv6().delete(ids_networks)
self.client_api.create_api_vlan().delete(ids_vlans)
def create_netv4_with_octs(self):
"""Creates networks v4 using first vlan."""
networks = [{
'oct1': 10,
'oct2': 0,
'oct3': 1,
'oct4': 0,
'prefix': 24,
'env': self.objects['id_envrk_B']
}, {
'oct1': 10,
'oct2': 0,
'oct3': 2,
'oct4': 0,
'prefix': 25,
'env': self.objects['id_envrk_B']
}, {
'oct1': 10,
'oct2': 0,
'oct3': 3,
'oct4': 0,
'prefix': 24,
'env': self.objects['id_envrk_B']
}]
fields = [
'oct1',
'oct2',
'oct3',
'oct4',
'prefix',
'vlan'
]
for network_send in networks:
# Get all vlans of environment
ids_vlans = self.search_all_vlans([network_send.get('env')])
del network_send['env']
# Creates networks v4
network_send['vlan'] = ids_vlans[0]
network = [{
'oct1': network_send.get('oct1'),
'oct2': network_send.get('oct2'),
'oct3': network_send.get('oct3'),
'oct4': network_send.get('oct4'),
'prefix': network_send.get('prefix'),
'vlan': network_send.get('vlan'),
'network_type': 6,
'environmentvip': None
}]
id_network = self.client_api.create_api_network_ipv4()\
.create(network)[0]['id']
# Get object created
network_rec = self.client_api.create_api_network_ipv4()\
.get([id_network], fields=fields)['networks'][0]
# Verify if object is right
self.assertDictEqual(
network_send,
network_rec,
'Network should be %s and was %s' % (network_send, network_rec)
)
def create_netv4_without_octs(self):
networks = [
{
'prefix': None,
'env': self.objects['id_envrk_B'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_C'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': 24,
'env': self.objects['id_envrk_C'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_A'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_A'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_B'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_A'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_D'],
'network_type': 6,
'environmentvip': None
}
]
expected_networks = [
{
'oct1': 10,
'oct2': 0,
'oct3': 0,
'oct4': 0,
'prefix': 24,
'mask_oct1': 255,
'mask_oct2': 255,
'mask_oct3': 255,
'mask_oct4': 0,
},
{
'oct1': 10,
'oct2': 0,
'oct3': 0,
'oct4': 0,
'prefix': 25,
'mask_oct1': 255,
'mask_oct2': 255,
'mask_oct3': 255,
'mask_oct4': 128,
},
{
'oct1': 10,
'oct2': 0,
'oct3': 1,
'oct4': 0,
'prefix': 24,
'mask_oct1': 255,
'mask_oct2': 255,
'mask_oct3': 255,
'mask_oct4': 0,
},
{
'oct1': 10,
'oct2': 0,
'oct3': 2,
'oct4': 128,
'prefix': 25,
'mask_oct1': 255,
'mask_oct2': 255,
'mask_oct3': 255,
'mask_oct4': 128
},
{
'oct1': 10,
'oct2': 0,
'oct3': 4,
'oct4': 0,
'prefix': 25,
'mask_oct1': 255,
'mask_oct2': 255,
'mask_oct3': 255,
'mask_oct4': 128
},
{
'oct1': 10,
'oct2': 0,
'oct3': 5,
'oct4': 0,
'prefix': 24,
'mask_oct1': 255,
'mask_oct2': 255,
'mask_oct3': 255,
'mask_oct4': 0
},
{
'oct1': 10,
'oct2': 0,
'oct3': 4,
'oct4': 128,
'prefix': 25,
'mask_oct1': 255,
'mask_oct2': 255,
'mask_oct3': 255,
'mask_oct4': 128
},
{
'oct1': 10,
'oct2': 0,
'oct3': 0,
'oct4': 0,
'prefix': 24,
'mask_oct1': 255,
'mask_oct2': 255,
'mask_oct3': 255,
'mask_oct4': 0
}
]
fields = [
'oct1',
'oct2',
'oct3',
'oct4',
'prefix',
'mask_oct1',
'mask_oct2',
'mask_oct3',
'mask_oct4',
]
for network_send, expected_network in izip(networks, expected_networks):
# Get all vlans of environment
ids_vlans = self.search_all_vlans([network_send.get('env')])
# Creates networks v4
network_send['vlan'] = ids_vlans[0]
id_network = self.client_api.create_api_network_ipv4()\
.create([network_send])[0]['id']
network_rec = self.client_api.create_api_network_ipv4()\
.get([id_network], fields=fields)['networks'][0]
self.assertDictEqual(
expected_network,
network_rec,
'Network should be %s and was %s' % (
expected_network, network_rec)
)
def create_netv6_with_octs(self):
"""Creates networks v6 using first vlan."""
networks = [{
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1201',
'block5': '0000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 64,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '0000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000',
'env': self.objects['id_envrk_B']
}, {
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1202',
'block5': '0000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 65,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '8000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000',
'env': self.objects['id_envrk_B']
}, {
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1203',
'block5': '0000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 64,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '0000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000',
'env': self.objects['id_envrk_B']
}]
fields = [
'block1',
'block2',
'block3',
'block4',
'block5',
'block6',
'block7',
'block8',
'prefix',
'mask1',
'mask2',
'mask3',
'mask4',
'mask5',
'mask6',
'mask7',
'mask8',
'vlan'
]
for network_send in networks:
# Get all vlans of environment
ids_vlans = self.search_all_vlans([network_send.get('env')])
del network_send['env']
# Creates networks v4
network_send['vlan'] = ids_vlans[0]
network = [{
'block1': network_send.get('block1'),
'block2': network_send.get('block2'),
'block3': network_send.get('block3'),
'block4': network_send.get('block4'),
'block5': network_send.get('block5'),
'block6': network_send.get('block6'),
'block7': network_send.get('block7'),
'block8': network_send.get('block8'),
'prefix': network_send.get('prefix'),
'vlan': network_send.get('vlan'),
'network_type': 6,
'environmentvip': None
}]
id_network = self.client_api.create_api_network_ipv6()\
.create(network)[0]['id']
# Get object created
network_rec = self.client_api.create_api_network_ipv6()\
.get([id_network], fields=fields)['networks'][0]
# Verify if object is right
self.assertDictEqual(
network_send,
network_rec,
'Network should be %s and was %s' % (network_send, network_rec)
)
def create_netv6_without_octs(self):
networks = [
{
'prefix': None,
'env': self.objects['id_envrk_B'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_C'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': 64,
'env': self.objects['id_envrk_C'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_A'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_A'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_B'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_A'],
'network_type': 6,
'environmentvip': None
},
{
'prefix': None,
'env': self.objects['id_envrk_D'],
'network_type': 6,
'environmentvip': None
}
]
expected_networks = [{
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1200',
'block5': '0000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 64,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '0000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000'
}, {
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1200',
'block5': '0000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 65,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '8000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000'
}, {
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1201',
'block5': '0000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 64,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '0000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000'
}, {
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1202',
'block5': '8000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 65,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '8000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000'
}, {
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1204',
'block5': '0000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 65,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '8000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000'
}, {
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1205',
'block5': '0000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 64,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '0000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000'
}, {
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1204',
'block5': '8000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 65,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '8000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000'
}, {
'block1': 'fdbe',
'block2': 'bebe',
'block3': 'bebe',
'block4': '1200',
'block5': '0000',
'block6': '0000',
'block7': '0000',
'block8': '0000',
'prefix': 64,
'mask1': 'ffff',
'mask2': 'ffff',
'mask3': 'ffff',
'mask4': 'ffff',
'mask5': '0000',
'mask6': '0000',
'mask7': '0000',
'mask8': '0000'
}]
fields = [
'block1',
'block2',
'block3',
'block4',
'block5',
'block6',
'block7',
'block8',
'prefix',
'mask1',
'mask2',
'mask3',
'mask4',
'mask5',
'mask6',
'mask7',
'mask8'
]
for network_send, expected_network in izip(networks, expected_networks):
# Get all vlans of environment
ids_vlans = self.search_all_vlans([network_send.get('env')])
# Creates networks v4
network_send['vlan'] = ids_vlans[0]
id_network = self.client_api.create_api_network_ipv6()\
.create([network_send])[0]['id']
network_rec = self.client_api.create_api_network_ipv6()\
.get([id_network], fields=fields)['networks'][0]
self.assertDictEqual(
expected_network,
network_rec,
'Network should be %s and was %s' % (
expected_network, network_rec)
)
| 30.877726
| 87
| 0.446465
| 3,894
| 39,647
| 4.336415
| 0.063431
| 0.0456
| 0.053121
| 0.051167
| 0.783075
| 0.760156
| 0.715504
| 0.703482
| 0.672687
| 0.665166
| 0
| 0.075473
| 0.418165
| 39,647
| 1,283
| 88
| 30.901793
| 0.656537
| 0.138295
| 0
| 0.736674
| 0
| 0
| 0.186192
| 0.005998
| 0
| 0
| 0
| 0
| 0.00533
| 1
| 0.022388
| false
| 0.007463
| 0.007463
| 0
| 0.03838
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 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
| 5
|
bba15f3003caa41222e3b892647e4f127a81af54
| 209
|
py
|
Python
|
ddrr/templatetags/ddrr.py
|
denizdogan/django-debug-requests-responses
|
f4e76f167a9f2144849469a894f8bee65b6355d9
|
[
"MIT"
] | 18
|
2019-05-18T01:51:59.000Z
|
2021-09-28T17:00:56.000Z
|
ddrr/templatetags/ddrr.py
|
denizdogan/django-debug-requests-responses
|
f4e76f167a9f2144849469a894f8bee65b6355d9
|
[
"MIT"
] | 6
|
2019-05-27T09:32:28.000Z
|
2021-11-24T13:01:19.000Z
|
ddrr/templatetags/ddrr.py
|
denizdogan/django-debug-requests-responses
|
f4e76f167a9f2144849469a894f8bee65b6355d9
|
[
"MIT"
] | 1
|
2021-12-01T10:43:25.000Z
|
2021-12-01T10:43:25.000Z
|
from django import template
from django.utils.termcolors import colorize as dj_colorize
register = template.Library()
@register.filter
def colorize(value, fg):
return dj_colorize(value, tuple(), fg=fg)
| 20.9
| 59
| 0.77512
| 29
| 209
| 5.517241
| 0.586207
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133971
| 209
| 9
| 60
| 23.222222
| 0.883978
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0.166667
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
bba2a21d55bfd7b513cbf079e63cad77a989712b
| 3,472
|
py
|
Python
|
test/test_mets_header.py
|
DILCISBoard/py-ip-validator
|
1a00f7205d3676cf24c993076614fcbeb50cf8d7
|
[
"Apache-2.0"
] | 2
|
2018-11-20T12:17:57.000Z
|
2019-09-28T21:01:38.000Z
|
test/test_mets_header.py
|
DILCISBoard/py-ip-validator
|
1a00f7205d3676cf24c993076614fcbeb50cf8d7
|
[
"Apache-2.0"
] | 2
|
2020-06-15T09:28:44.000Z
|
2020-06-18T10:30:26.000Z
|
test/test_mets_header.py
|
DILCISBoard/py-ip-validator
|
1a00f7205d3676cf24c993076614fcbeb50cf8d7
|
[
"Apache-2.0"
] | null | null | null |
from base import Base
from metsvalidator.mets_validator_impl import validate
# In this class we test first the correct mets header element and then different error samples.
# If validation error was detected - validation result should be False.
class MetsHeaderTestCase(Base):
""" Tests for METS header element """
def test_load_rules(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_element_ok.xml")
self.assertTrue(validationResult==True)
def test_csip7_check_header_element(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_element_not_exists.xml")
self.assertTrue(validationResult==True)
def test_csip9_check_package_creation_date(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_package_creation_date_not_exists.xml")
self.assertTrue(validationResult==True)
def test_csip10_check_package_last_modification_date(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_package_last_modification_date_not_exists.xml")
self.assertTrue(validationResult==True)
def test_csip11_check_oais_package_type(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_oais_package_type_not_exists.xml")
self.assertTrue(validationResult==True)
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_oais_package_type_value_error.xml")
self.assertTrue(validationResult==True)
def test_csip12_check_header_agent_element(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_agent_element_not_exists.xml")
self.assertTrue(validationResult==True)
def test_csip13_check_header_agent_role_element(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_element_agent_role_not_exists.xml")
self.assertTrue(validationResult==True)
def test_csip15_check_header_agent_type_element(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_element_agent_type_not_exists.xml")
self.assertTrue(validationResult==True)
def test_csip16_check_header_agent_other_type_element(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_element_agent_othertype_not_exists.xml")
self.assertTrue(validationResult==True)
def test_csip17_check_header_agent_name_element(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_element_agent_name_not_exists.xml")
self.assertTrue(validationResult==True)
def test_csip18_check_header_agent_note_element(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_element_agent_note_not_exists.xml")
self.assertTrue(validationResult==True)
def test_csip19_check_header_agent_note_type_element(self):
validationResult, report = validate(self.rules, self.SOURCES_PATH+"mets_header_element/mets_header_element_agent_note_type_not_exists.xml")
self.assertTrue(validationResult==True)
| 58.847458
| 154
| 0.799827
| 441
| 3,472
| 5.888889
| 0.1678
| 0.107817
| 0.150558
| 0.170196
| 0.768194
| 0.768194
| 0.768194
| 0.734309
| 0.695803
| 0.593762
| 0
| 0.00656
| 0.121832
| 3,472
| 58
| 155
| 59.862069
| 0.845195
| 0.056452
| 0
| 0.317073
| 0
| 0
| 0.25528
| 0.25528
| 0
| 0
| 0
| 0
| 0.317073
| 1
| 0.292683
| false
| 0
| 0.04878
| 0
| 0.365854
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
bbca0296dd3dfc0866b4e452ed8724267e5ba873
| 40
|
py
|
Python
|
build/lib/TopDownCrawl/__main__.py
|
bhcooper/TopDownCrawl
|
b02a5102d25810a4875b9bdf9a62a07e02715202
|
[
"MIT"
] | null | null | null |
build/lib/TopDownCrawl/__main__.py
|
bhcooper/TopDownCrawl
|
b02a5102d25810a4875b9bdf9a62a07e02715202
|
[
"MIT"
] | null | null | null |
build/lib/TopDownCrawl/__main__.py
|
bhcooper/TopDownCrawl
|
b02a5102d25810a4875b9bdf9a62a07e02715202
|
[
"MIT"
] | null | null | null |
from .TopDownCrawl import main
main()
| 13.333333
| 31
| 0.75
| 5
| 40
| 6
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175
| 40
| 3
| 32
| 13.333333
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 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
| 0
| 0
|
0
| 5
|
bbce7724994cb0f64a0a8e7ce81df29db33a46db
| 45,206
|
py
|
Python
|
examples/regcoilPaper_figure10d_constArclengthAngle/tests.py
|
landreman/regcoil
|
99f9abf8b0b0c6ec7bb6e7975dbee5e438808162
|
[
"BSD-2-Clause"
] | 5
|
2017-05-26T14:08:43.000Z
|
2020-12-30T10:22:26.000Z
|
examples/regcoilPaper_figure10d_constArclengthAngle/tests.py
|
landreman/regcoil
|
99f9abf8b0b0c6ec7bb6e7975dbee5e438808162
|
[
"BSD-2-Clause"
] | 8
|
2018-02-17T07:44:41.000Z
|
2020-06-30T20:34:25.000Z
|
examples/regcoilPaper_figure10d_constArclengthAngle/tests.py
|
landreman/regcoil
|
99f9abf8b0b0c6ec7bb6e7975dbee5e438808162
|
[
"BSD-2-Clause"
] | 4
|
2016-12-13T18:15:05.000Z
|
2019-06-07T20:58:01.000Z
|
#!/usr/bin/env python
# This python script checks the output file for an example to
# see if the results are close to expected values. This script may be
# run directly, and it is also called when "make test" is run from the
# main REGCOIL directory.
execfile('../testsCommon.py')
absoluteTolerance = 1e-100
numFailures = 0
f = readOutputFile()
variableName = 'lambda'
data = f.variables[variableName][()]
relativeTolerance = 1e-12
numFailures += arrayShouldBe(data, [0, 1e-15, 1.33352143216332e-15, 1.77827941003892e-15,\
2.37137370566166e-15, 3.16227766016838e-15, 4.21696503428582e-15,\
5.62341325190349e-15, 7.49894209332456e-15, 1e-14],relativeTolerance,absoluteTolerance)
# The values here for chi2_B, chi2_K, max_Bnormal, and max_K are copied from the results for the original poloidal angle, to verify the results are unchanged under the transformation. We need a more generous tolerance than usual in order for the tests to pass.
variableName = 'chi2_B'
data = f.variables[variableName][()]
relativeTolerance = 3e-3
# Note: we exclude the first element (the unregularized case lambda=0) since it can be overwhelmed by roundoff error.
numFailures += arrayShouldBe(data[1:], [0.174519878306313, 0.233148551834137, \
0.310446213587783, 0.411565852326815, 0.542616084841207, \
0.710568315783369, 0.922890554110523, 1.18673864681126, 1.50770781013225],relativeTolerance,absoluteTolerance)
variableName = 'chi2_K'
data = f.variables[variableName][()]
relativeTolerance = 1e-4
numFailures += arrayShouldBe(data[1:], [1.74957088182873e+15, 1.6989658516062e+15,\
1.64892520707378e+15, 1.59982527129183e+15, 1.55209554042516e+15,\
1.50621123410416e+15, 1.46269693947801e+15, 1.42212837760326e+15,\
1.38509938973785e+15], relativeTolerance,absoluteTolerance)
variableName = 'max_Bnormal'
data = f.variables[variableName][()]
relativeTolerance = 1e-3
numFailures += arrayShouldBe(data[1:], [ 0.117555544291034, 0.134561224876993,\
0.153923792979921, 0.176347144447289, 0.201603899107085,\
0.229977435728317, 0.261839981656698, 0.296625161466877, 0.333988791941713], relativeTolerance,absoluteTolerance)
variableName = 'max_K'
data = f.variables[variableName][()]
relativeTolerance = 1e-3
numFailures += arrayShouldBe(data[1:], [8824481.60102707, 8355450.23653953,\
7884212.39105115, 7412969.17310808, 6945281.57578389, 6485916.75531679,\
6040435.92861007, 5614638.75966927, 5214018.48872153], relativeTolerance,absoluteTolerance)
variableName = 'single_valued_current_potential_mn'
data = f.variables[variableName][()]
#print data.shape
relativeTolerance = 1e-4
absoluteTolerance = 1e-6
numFailures += arrayShouldBe(data[1,:], \
[-503975.8014005262, -32679.790309051416, -7710.5535328207525, -3725.9646511380906, -396.6522222653387, -217.26377944412482, -44.592130544106354, -23.807281613508163, -9.129030581733126, -1.4130668502492885, -5.4745237459469065, -25.916485196938858, -18.274364776467422, 3.9106936664980996, 17.232118294125836, 12.968725492953528, -3.005864007241751, -6.184391250948466, 3.5308708635549615, -0.18800120260726377, -2.2710633271623673, 10.990813979078734, 4.921502466162304, 4.984703271058151, 11.14326786417461, 1.495198145135585, 10.865692648571198, 8.939442575018877, -5.188368478645114, 2.3233929594001754, 1.5823992054138791, -1.1250136508101258, 2.4496168002989185, -1.7773897227780657, 3.487566972104818, 1.7284810389478298, -6.009643677324005, 13.832741034295365, 6.750103196813988, 6.468058930371427, 10.728211716975332, 2.5262162575373006, 6.360638778956442, 8.031591205888025, -0.7809746925178334, 3.4748359914609717, 0.8602658926423421, -7.966311329886132, -1.101773184314164, 11.016900973348028, 17.269654386630346, -0.35364550872306655, -18.568673055850716, -11.27557367719841, -60.287282568261354, 119.87715110394346, -35.49716560213837, 148.7434629020592, 45.151105343138425, -704.4176051577743, 977.5670830363711, -10864.278874544423, 9660.336851320033, -57339.6113642928, 64621.12164622918, 612991.9041148119, 187505.9868119284, 50434.279539317766, -2767.012152521357, 6284.829812760196, -1412.151339124097, 1594.503557406429, -552.4332041475582, 283.99052994340434, -175.64183926721958, -28.57934921699459, -9.616467393314434, 33.855647905638044, 13.390364490376543, -3.8676110460084296, -19.131678517543516, -12.664865086183992, 2.203409544917647, 6.409321806018301, -2.128768525828878, 0.03276406635705102, -5.469790243148401, -6.273505735650294, -5.910579489551271, -10.033789505164602, -9.362608753380202, -0.856473113913965, -13.15569557605815, -5.144443371447201, 3.212897472272088, -2.340062192617178, -0.6181031252069388, -7.868339963365808, -2.603647391982794, 3.019653901353064, -5.881661981540501, 0.53338848667999, 4.078504114901498, -18.021099176995424, -2.028334485547257, -11.029201867000452, -12.311106984380618, 3.1130654091704755, -5.507862353311225, -8.537749095909641, -3.869552218203573, -4.6691583411094015, 4.754414007962112, 5.144699245216917, 3.334142969965204, -11.624781282297631, -19.93657705984092, 30.736785283106087, -67.66727126703363, 179.20396095149403, -125.32222622868117, -110.98660196536851, 407.4739976638304, -1655.551985062861, 3690.0203954213553, -7418.042742120173, 14632.818938190629, -13192.04734517501, -1846.0915557840885, 184961.25751794744, -381287.7024373155, -240585.3925098467, -101432.19263086248, -2584.175103594869, -7108.501180622156, 1604.2838855332254, -2668.359370920409, 683.7507687202257, -477.78579923730734, 228.3430650345384, 33.02470218613948, 76.58681943104722, -24.419046541049838, -21.942325010872462, -18.08173050182792, 8.674549580689721, 18.132376726224756, 13.535506128973356, -3.9780970187466407, -6.663188954786002, 1.1536462859285317, 5.448049675423869, 7.27621741132922, -0.4038582699410821, 10.375873263876269, 10.42469736060461, 6.671048285923659, 1.5787972633759966, 12.336946795560195, 2.6844297020050343, -1.6823587789703485, 2.013000220704357, 8.912021192521117, 9.459669197193753, 2.0591072585226495, -3.804198915616872, 7.912008108063563, -5.0886946265896, 1.332249466214986, 20.01090218269759, -1.5754823780550973, 14.9863445643114, 14.95470778318641, -10.702826289806437, 5.743447241215866, 8.674676887291588, 6.568521457266182, 5.508967203036374, -8.268214197173464, -1.7530560446098475, -8.551314664313107, 16.596228944986333, 15.248574930437133, -48.40512601139466, 134.41502408435232, -306.6467954108724, 355.2915733069564, -124.0462792342669, -213.37985884482234, 1835.3069544780992, -5107.374613285021, 10988.839311992106, -21566.313715707154, 22465.28918805052, 11945.549463547697, -140413.3668138652, 361578.24576193985, 126153.7521982199, 46607.81298780822, -21462.00654992069, 9794.453007559203, -4862.295072732947, 4317.174932565249, -1919.1550682908241, 1059.479957553506, -600.9930955002953, 138.7661214493991, -153.9716335242488, 91.42080927762463, -4.768869465936051, 29.555826716062764, -17.522525741705962, -14.816807411080866, -13.448771593802903, 6.402798119713411, 4.533235357228403, 0.4994392658823652, -10.025121187634925, -7.0203911875246, 2.040404525648247, -9.554524494135451, -11.543469141432864, -4.20648522814738, -2.944432485068831, -9.943131482467544, -1.2794637635371147, 0.6954165485694124, -5.721244601652935, -11.094280050574811, -11.400685732325895, -0.4850785318701988, 2.529459960643355, -9.213430442892912, 11.034246324224329, -11.484170395747567, -18.1920845878533, 6.364765082200885, -21.797289615476632, -18.806586725042393, 17.284741022885836, -4.225387773815186, -9.346936412051814, -8.056664392953621, -4.246316694455664, 5.125342893647058, 4.397206013702736, 11.64511053448349, -33.23794556338927, 36.718759494989804, -43.03279848814265, -17.625754044545015, 203.05050245600816, -415.5059799762903, 622.7168369258256, -1344.493874685469, 1661.8313909647109, -924.0304700151753, -4315.2647840578875, 23723.74021211669, -44755.70384021121, 31851.829329600914, 61560.231835303806, -263313.4249885421, -93469.42405319988, -32003.547932080925, 17955.727933101316, -7671.371650671455, 4372.171913387279, -3809.587161654735, 1862.344530628991, -1091.7597747033187, 673.1330234634314, -198.13596564448864, 193.04908145678405, -121.64351905196251, 21.62404363635152, -36.09126319802957, 24.583159189445873, 11.727243137717121, 12.006567435627346, -7.510410577867197, -2.4651204778383375, -1.6009903304826538, 16.575266134934946, 3.2164175230430727, -0.09398434021231857, 8.719726274823605, 11.633542590250567, 2.6212304261338613, 4.300056896809554, 7.205349216641313, 0.584595871256945, 6.585754612165129, 7.784793137583577, 12.682475845314276, 13.052847906866225, -3.000449941765387, 2.0747914894355177, 8.496214480144962, -16.624259237886434, 18.535700177678173, 14.865802986471113, -13.851400096632652, 28.04303928093106, 21.834591656767504, -20.513214067307466, -0.3625480871907622, 9.909178416517726, 6.644846885030062, 5.088632080323351, -2.6057090608091795, -6.944492541807445, -8.50926807108921, 24.028258720068823, -31.921661472421327, 53.93518313675965, -41.180799944349786, -86.454257570802, 240.6609843607849, -434.87181805954725, 1091.2143656719636, -1351.5091103968641, 1245.1257419959966, 889.9445144764535, -10999.958800600925, 16405.295758145567, -35605.90041329255, -10018.488082573098, 138780.2273610639, 63815.68051566069, 20469.44650190747, -8023.179924364537, 3406.961886993917, -1959.132249057874, 2019.859395187722, -942.3910042095473, 615.0530456936328, -401.90638843989746, 113.30832263117883, -134.71728466238426, 91.14213800594916, -10.0570630408302, 27.212237571950567, -23.904701692720835, -12.102565431512144, -6.232090186945281, 5.24097784143611, 0.9565736174195393, 3.0277305057362565, 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-474.52896152303964, -46.56626797685095, -487.969747949035, 128.43936692538682, -128.61749141298222, 111.04636886713062, 6.424459443124898, 40.08412291304369, -41.826481125025325, -11.738791753876288, -10.896057182315165, 18.325766985113734, 12.652746905914556, -1.6658545596991328, 0.9543126252064096, -3.331133224955805, -0.8859028871809206, 13.308346711876808, -0.4790673767949258, 2.5256492472104766, 6.411039051105144, 7.480395015805166, 0.9803379180810881, 4.262956887134013, -3.034318324456222, 6.355312499298475, 11.306813963946283, 10.823542837818861, 16.886430535155974, 9.318957888992168, -10.249351525703373, 15.54763984921547, -1.154744787199667, -11.653819874272157, 20.321912025168366, 20.85206478899527, -30.137421750554093, 22.37641579572903, 37.99898038044883, -14.082112740668268, -14.87415372131766, 3.7084880212973417, 0.734909435098249, 7.844137192300999, -0.2508201865901279, -15.944867143448763, 9.996838388674027, -23.64202986285083, 20.669747364410604, 30.72530823223844, 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0.5135279135988319, 2.289934193202004, 1.51953549919644, -1.5518022896674357, -1.3730759534467671, 0.9663881768865372, 0.27005551339903966, -0.5959433552280815, -0.890605316801292, 3.1408779491729737, -6.814438465479008, -12.410006407332874, 8.069605178713745, -4.089822292630435, -15.553095893225537, 11.409850141807999, 7.341842595929254, -3.9680895533331357, 11.053923662694963, 12.658106276340819, 2.7719820918571854, 10.148201409936611, 17.519788333362097, 9.359182438918843, 2.946988011939604, 6.0684040168911215, 12.21698856954677, 9.59231603897828, 3.8343054544289785, -0.08394915533451769, 0.04673825031323043] \
,relativeTolerance,absoluteTolerance,requireSameLength=False)
del data
f.close()
print "numFailures:",numFailures
exit(numFailures > 0)
| 664.794118
| 42,315
| 0.820732
| 4,567
| 45,206
| 8.121305
| 0.5739
| 0.000809
| 0.002265
| 0.004206
| 0.00852
| 0.006525
| 0.005311
| 0.004044
| 0.004044
| 0.004044
| 0
| 0.834684
| 0.055302
| 45,206
| 67
| 42,316
| 674.716418
| 0.033813
| 0.014025
| 0
| 0.217391
| 0
| 0
| 0.002177
| 0.000763
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.021739
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
bbe8c803a83dffd2b3a2f1bab9d9019db789e702
| 346
|
py
|
Python
|
model/__init__.py
|
Jueast/VLAE_Pytorch
|
8373390008d611909997e4a3de8396f617d53a49
|
[
"MIT"
] | null | null | null |
model/__init__.py
|
Jueast/VLAE_Pytorch
|
8373390008d611909997e4a3de8396f617d53a49
|
[
"MIT"
] | null | null | null |
model/__init__.py
|
Jueast/VLAE_Pytorch
|
8373390008d611909997e4a3de8396f617d53a49
|
[
"MIT"
] | null | null | null |
try: # Works for python 3
from model.abstract_VAE import *
from model.flat_VAE import NaiveVAE, BetaVAE, MMDVAE
from model.VLAE import VLAE, MMDVLAE, CNNVLAE
from model.VAEGAN import VAEGAN
except: # Works for python 2
from abstract_VAE import *
from flat_VAE import NaiveVAE, BetaVAE
from VLAE import VLAE, CNNVLAE
| 38.444444
| 56
| 0.734104
| 50
| 346
| 5
| 0.4
| 0.144
| 0.112
| 0.168
| 0.224
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007407
| 0.219653
| 346
| 9
| 57
| 38.444444
| 0.918519
| 0.106936
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.777778
| 0
| 0.777778
| 0
| 0
| 0
| 0
| null | 0
| 0
| 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
| 5
|
bbf143f66e157fac98547bafc00821b89194b690
| 223
|
py
|
Python
|
homebot/formatter/__init__.py
|
HazardDede/homebot
|
7a44f5470bdd84c1e7660cf48955d44a9e4c317a
|
[
"MIT"
] | null | null | null |
homebot/formatter/__init__.py
|
HazardDede/homebot
|
7a44f5470bdd84c1e7660cf48955d44a9e4c317a
|
[
"MIT"
] | null | null | null |
homebot/formatter/__init__.py
|
HazardDede/homebot
|
7a44f5470bdd84c1e7660cf48955d44a9e4c317a
|
[
"MIT"
] | null | null | null |
"""Formatter package."""
from homebot.formatter.base import Formatter, StringFormat
from homebot.formatter import help, slack # pylint: disable=redefined-builtin
__all__ = ['help', 'slack', 'Formatter', 'StringFormat']
| 27.875
| 78
| 0.753363
| 24
| 223
| 6.833333
| 0.583333
| 0.134146
| 0.243902
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.112108
| 223
| 7
| 79
| 31.857143
| 0.828283
| 0.237668
| 0
| 0
| 0
| 0
| 0.182927
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
|
0
| 5
|
a52bc5e80de5124ed23e93e1f9d1aeceba1a301e
| 237
|
py
|
Python
|
fima/viz/__init__.py
|
gpiantoni/fima
|
52bba27409f99dc22f3495e3adc907201f69387e
|
[
"MIT"
] | null | null | null |
fima/viz/__init__.py
|
gpiantoni/fima
|
52bba27409f99dc22f3495e3adc907201f69387e
|
[
"MIT"
] | null | null | null |
fima/viz/__init__.py
|
gpiantoni/fima
|
52bba27409f99dc22f3495e3adc907201f69387e
|
[
"MIT"
] | null | null | null |
"""Functions to plot the results of the analyses"""
from .tfr_chan import plot_tfr
from .tfr_time import plot_tfr_time
from .surf import plot_surf
from .utils import to_div, to_html, to_png
from .freqtime import plot_conditions_per_chan
| 33.857143
| 51
| 0.818565
| 42
| 237
| 4.333333
| 0.47619
| 0.21978
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126582
| 237
| 6
| 52
| 39.5
| 0.879227
| 0.189873
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 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
| 5
|
a5323eafd7866ac3b6e89b60864f4f1936c8acd2
| 908
|
py
|
Python
|
tests/conftest.py
|
dlce-eva/python-nexus
|
44cd8eeece1522b2839fbf4d586913ccdef7fbfc
|
[
"BSD-2-Clause"
] | 7
|
2020-12-16T14:17:15.000Z
|
2021-12-11T00:26:04.000Z
|
tests/conftest.py
|
dlce-eva/python-nexus
|
44cd8eeece1522b2839fbf4d586913ccdef7fbfc
|
[
"BSD-2-Clause"
] | 13
|
2021-01-19T11:58:47.000Z
|
2022-03-28T20:52:28.000Z
|
tests/conftest.py
|
dlce-eva/python-nexus
|
44cd8eeece1522b2839fbf4d586913ccdef7fbfc
|
[
"BSD-2-Clause"
] | null | null | null |
import pathlib
import pytest
from nexus import NexusReader
@pytest.fixture
def regression():
return pathlib.Path(__file__).parent / 'regression'
@pytest.fixture
def examples():
return pathlib.Path(__file__).parent / 'examples'
@pytest.fixture
def make_reader(examples):
def _make(fname):
return NexusReader.from_file(examples / fname)
return _make
@pytest.fixture
def nex(make_reader):
return make_reader('example.nex')
@pytest.fixture
def nex2(make_reader):
return make_reader('example2.nex')
@pytest.fixture
def nexc(make_reader):
return make_reader('example-characters.nex')
@pytest.fixture
def trees(make_reader):
return make_reader('example.trees')
@pytest.fixture
def trees_translated(make_reader):
return make_reader('example-translated.trees')
@pytest.fixture
def trees_beast(make_reader):
return make_reader('example-beast.trees')
| 17.132075
| 55
| 0.746696
| 116
| 908
| 5.62069
| 0.224138
| 0.199387
| 0.220859
| 0.184049
| 0.455521
| 0.253067
| 0
| 0
| 0
| 0
| 0
| 0.002574
| 0.144273
| 908
| 52
| 56
| 17.461538
| 0.836551
| 0
| 0
| 0.28125
| 0
| 0
| 0.131057
| 0.050661
| 0
| 0
| 0
| 0
| 0
| 1
| 0.3125
| false
| 0
| 0.09375
| 0.28125
| 0.71875
| 0
| 0
| 0
| 0
| null | 0
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
a57b37f5374bf5a218628f6acd4b14bde5c12f49
| 83
|
py
|
Python
|
graphite_feeder/handler/event/appliance/light/lux_balancing/__init__.py
|
majamassarini/automate-graphite-feeder
|
0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0
|
[
"MIT"
] | null | null | null |
graphite_feeder/handler/event/appliance/light/lux_balancing/__init__.py
|
majamassarini/automate-graphite-feeder
|
0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0
|
[
"MIT"
] | null | null | null |
graphite_feeder/handler/event/appliance/light/lux_balancing/__init__.py
|
majamassarini/automate-graphite-feeder
|
0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0
|
[
"MIT"
] | null | null | null |
from graphite_feeder.handler.event.appliance.light.lux_balancing import brightness
| 41.5
| 82
| 0.891566
| 11
| 83
| 6.545455
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.048193
| 83
| 1
| 83
| 83
| 0.911392
| 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
| 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
| 5
|
a5a762e11b57e4879fd377c407e2c50e04d1ac0a
| 38,784
|
py
|
Python
|
multibeam_em712/decode.py
|
sustain-lab/multibeam-em712
|
90b2999f9ac2c605fd516d1e7317b343819a6fca
|
[
"MIT"
] | null | null | null |
multibeam_em712/decode.py
|
sustain-lab/multibeam-em712
|
90b2999f9ac2c605fd516d1e7317b343819a6fca
|
[
"MIT"
] | null | null | null |
multibeam_em712/decode.py
|
sustain-lab/multibeam-em712
|
90b2999f9ac2c605fd516d1e7317b343819a6fca
|
[
"MIT"
] | null | null | null |
import glob
import os
import sys
import struct
import time
import datetime
import utm
import xml.etree.ElementTree as ET
import requests
import dateutil.parser
times = []
tides = []
noTides = -1
min_e = min_n = 99.0
max_e = max_n = 0.0
start_t = stop_t = -1
lastidt = 0
outfile = 0
# Version 2 of MRZ can contain seabed image from pings of different frequencies.
# This is one way to separate them.
freqs = []
# Files used to store different seabed images from different frequencies.
freqfilewrites = []
activeOnOff=0
stdstr = ""
#Receive an array of all tokens from a seabedimage-file
#Return a string in csv-format
def makeStringFromSeabedImage(tokval):
no = len(tokval)
# Interpolate between positions. First I skip the samples outside center
# sample on each side
prevX = ""
prevY = ""
thisX = ""
thisY = ""
prevIdx = -1
retval = ""
for i in range(no):
found = tokval[i].find('(')
if (found >= 0):
nxt = tokval[i + 1].find(')')
if (nxt < 0):
return "error"
if (len(thisY) < 1):
prevY = tokval[i]
prevX = tokval[i + 1]
prevIdx = i + 2 #First valid value
thisX = prevX
thisY = prevY
else:
thisY = tokval[i]
thisX = tokval[i + 1]
#Then interpolate the values between prevIdx and i; i-1 being the last
#value
#First convert string to float, then to utm
px = float(prevX[:-1])
py = float(prevY[1:])
tx = float(thisX[:-1])
ty = float(thisY[1:])
u = utm.from_latlon(py, px)
x1 = u[0]
y1 = u[1]
u = utm.from_latlon(ty, tx)
x2 = u[0]
y2 = u[1]
noSamp = i - prevIdx
xd = float(x2 - x1) / float(noSamp)
yd = float(y2 - y1) / float(noSamp)
for s in range(noSamp):
samp = float(tokval[prevIdx + s]) * 0.1
x = x1 + xd * s
y = y1 + yd * s
str = "%.2f %.2f 0.0 %.1f\n" % (x,y,samp)
retval += str
break_me_here = 0 #debug purposes
prevX = thisX
prevY = thisY
prevIdx = i + 2
#Then add the outer samples. Mirror the second (last) position to find the
#direction and interpolation distance
#You can change the output order if necessary to get a nice output in the
#csv-file
first = -1
for i in range(no):
a = tokval[i].find('(')
if (a >= 0):
first = i
break
second = -1
for i in range(no):
a = tokval[i].find('(')
if (a >= 0):
if (i != first):
second = i
break
last = -1
for i in range(no):
a = tokval[no - 1 - i].find('(')
if (a >= 0):
last = i
break
second_last = -1
for i in range(no):
a = tokval[no - 1 - i].find('(')
if (a >= 0):
if (i != last):
second_last = i
break
last = no - last - 1
second_last = no - second_last - 1
px = float(tokval[first + 1][:-1])
py = float(tokval[first][1:])
firstu = utm.from_latlon(py, px)
firstx = firstu[0]
firsty = firstu[1]
px = float(tokval[second + 1][:-1])
py = float(tokval[second][1:])
secondu = utm.from_latlon(py, px)
secondx = secondu[0]
secondy = secondu[1]
fxd = (secondx - firstx) / (second - first - 2)
fyd = (secondy - firsty) / (second - first - 2)
px = float(tokval[last + 1][:-1])
py = float(tokval[last][1:])
lastu = utm.from_latlon(py, px)
lastx = lastu[0]
lasty = lastu[1]
px = float(tokval[second_last + 1][:-1])
py = float(tokval[second_last][1:])
second_lastu = utm.from_latlon(py, px)
second_lastx = second_lastu[0]
second_lasty = second_lastu[1]
lxd = (second_lastx - lastx) / (second_last - last - 2)
lyd = (second_lasty - lasty) / (second_last - last - 2)
for i in range(no):
if (i == first):
break
samp = float(tokval[i]) * 0.1
x = firstx - i * fxd # use - as we are moving outwards from second through first and beyond
y = firsty - i * fyd
str = "%.2f %.2f 0.0 %.1f\n" % (x,y,samp)
retval += str
for i in range(no):
k = no - 1 - i
if (k == last + 1):
break
samp = float(tokval[last + i + 2]) * 0.1
x = lastx + i * lxd
y = lasty + i * lyd
str = "%.2f %.2f 0.0 %.1f\n" % (x,y,samp)
retval += str
return retval
def openTidefile(minn, mine, maxn, maxe, mint, maxt):
global times
global tides
global noTides
middle_n = minn + ((maxn - minn) / 2.0)
middle_e = mine + ((maxe - mine) / 2.0)
fromtime = datetime.datetime.fromtimestamp(mint)
totime = datetime.datetime.fromtimestamp(maxt)
rfrom = fromtime.isoformat()
ttime = totime.isoformat()
strs = 'http://api.sehavniva.no/tideapi.php?tide_request=locationdata&lat=%.8f&lon=%.8f&datatype=OBS&lang=nl&tzone=0&refcode=CD&fromtime=%s&totime=%s&interval=10' % (middle_n, middle_e, rfrom, ttime)
try:
r = requests.get(strs)
root = ET.fromstring(r.text)
for tidelevel in root.iter('waterlevel'):
tide = tidelevel.attrib.get('value')
time = tidelevel.attrib.get('time')
yourdate = dateutil.parser.parse(time)
# Tide in SIS is negative; ADD tide to get to correct level.
tides.append(float(tide) * -0.01)
times.append(int(yourdate.timestamp()))
except:
print(strs)
print("Failed.\n\n")
noTides = len(times)
def getTide(secSinceEpoch):
global lastidt
global times
global tides
global noTides
if (noTides <= 0):
print("Cannot read tidefile")
sys.exit(2)
maxtime = times[noTides - 1]
if (secSinceEpoch < times[0] or secSinceEpoch > maxtime):
return 999999
p = lastidt
while (times[p] >= secSinceEpoch):
p = p - 1
while (times[p] <= secSinceEpoch):
p = p + 1
n = p - 1
if (times[n] <= secSinceEpoch and times[p] >= secSinceEpoch):
atime = float(times[n])
btime = float(times[p])
atide = float(tides[n])
btide = float(tides[p])
ntide = atide + (secSinceEpoch - atime) * (btide - atide) / (btime - atime)
lastidt = n
return ntide
return 999999
# Process one depth datagram, #MRZ
# lengtha and chunk are from processDatagram, see below
# millisec is decoded from the header, so I send it in as a parameter here
def processDepthDatagram2(millisec, lengtha, chunk):
global outfile
global min_e
global min_n
global max_e
global max_n
global start_t
global stop_t
global stdstr
global freqs # Frequencies used in MF-mode
global freqfiles
global activeOnOff
# Headersize is 4 bytes smaller than in the headerfile, remember that the 4
# bytes with the length has been dropped
headersize = 1 + 1 + 1 + 1 + 1 + 1 + 2 + 4 + 4
partitionsize = 2 + 2
commonsize = 2 + 2 + 8
common = struct.Struct('HHBBBBBBBB')
numBytesCmnPart, pingCnt, rxFansPerPing, rxFanIndex, swathsPerPing, swathAlongPosition, \
txTransducerInd, rxTransducerInd, numRxTransducers, algorithmType = common.unpack_from(chunk, headersize + partitionsize)
pinginfo_size = 2 + 2 + 4 + 1 + 1 + 1 + 1 + 1 + 1 + 2 + 11 * 4 + 2 + 2 + 1 + 1 + 2 + 4 + 4 + 4 + 4 + 2 + 2 + 4 + 2 + 2 + 6 * 4 + 1 + 1 + 1 + 1 + 8 + 8 + 4 + 8
pinginfo = struct.Struct('HHfBBBBBBHfffffffffffhhBBHIfffHHfHHffffffBBBBddf')
numBytesInfoData, padding0, pingRate_Hz, beamSpacing, depthMode,\
subDepthMode, distanceBtwSwath, detectionMode, pulseForm, \
padding01, frequencyMode_Hz, freqRangeLowLim_Hz, \
freqRangeHighLim_Hz, maxTotalTxPulseLength_sec, \
maxEffTxPulseLength_sec, maxEffTxBandWidth_Hz, \
absCoeff_dBPerkm, portSectorEdge_deg, \
starbSectorEdge_deg, portMeanCov_deg, \
starbMeanCov_deg, portMeanCov_m, \
starbMeanCov_m, modeAndStabilisation, \
runtimeFilter1, runtimeFilter2,\
pipeTrackingStatus, transmitArraySizeUsed_deg,\
receiveArraySizeUsed_deg, transmitPower_dB,\
SLrampUpTimeRemaining, padding1,\
yawAngle_deg, numTxSectors, numBytesPerTxSector,\
headingVessel_deg, soundSpeedAtTxDepth_mPerSec,\
txTransducerDepth_m, z_waterLevelReRefPoint_m, \
x_txTransducerArm_SCS_m, y_txTransducerArm_SCS_m,\
latLongInfo, posSensorStatus, attitudeSensorStatus,\
padding2, latitude_deg, longitude_deg,\
ellipsoidHeightReRefPoint_m = pinginfo.unpack_from(chunk, headersize + partitionsize + commonsize)
# Bug in Python, fix it (binary alignments not correct)
latlon = struct.Struct("d")
klat = latlon.unpack_from(chunk, headersize + partitionsize + commonsize + 124)
klon = latlon.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8)
ellheight = struct.Struct("f")
ellipsheight = ellheight.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8)
latitude_deg = klat[0]
longitude_deg = klon[0]
ellipsoidHeightReRefPoint_m = ellipsheight[0]
# Changed in Version 1
bsCorrectionOffset_dB = ellheight.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8 + 4)[0]
byterec = struct.Struct("B")
lambertsLawApplied = byterec.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8 + 4 + 4)[0]
iceWindow = byterec.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8 + 4 + 4 + 1)[0]
shortrec = struct.Struct("H")
# The paddig is in version 2 used for activeModes.
# Remember that this is just an indication that MF is in use; we must look at the
# actual frequencyMode_Hz used and the pulsetype to determine which seabed image to use
activeModes = shortrec.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8 + 4 + 4 + 1 + 1)[0]
sec = int(millisec / 1000)
# Pointer offset to sectorInfo
sectorInfo_offset = headersize + partitionsize + commonsize + pinginfo_size
# Changed from version 0
sectorInfo = struct.Struct('BBBBfffffffBBHfff')
sectorInfo_size = 1 + 1 + 1 + 1 + 7 * 4 + 1 + 1 + 2 + 4 + 4 + 4
i = 0
while (i < numTxSectors):
txSectorNumb, txArrNumber, txSubArray, padding0,\
sectorTransmitDelay_sec, tiltAngleReTx_deg,\
txNominalSourceLevel_dB, txFocusRange_m,\
centreFreq_Hz, signalBandWidth_Hz, \
totalSignalLength_sec, pulseShading, signalWaveForm,\
padding1, highVoltageLevel_dB, sectorTrackingCorr_dB, effectiveSignalLength_sec = sectorInfo.unpack_from(chunk, sectorInfo_offset + i * sectorInfo_size)
i+=1
rxInfo_offset = sectorInfo_offset + numTxSectors * sectorInfo_size
rxInfo = struct.Struct('HHHHffffHHHH')
rxInfo_size = 2 + 2 + 2 + 2 + 4 + 4 + 4 + 4 + 2 + 2 + 2 + 2
numBytesRxInfo, numSoundingsMaxMain, numSoundingsValidMain, numBytesPerSounding, \
WCSampleRate, seabedImageSampleRate, BSnormal_dB, BSoblique_dB, \
extraDetectionAlarmFlag, numExtraDetections, numExtraDetectionClasses, \
numBytesPerClass = rxInfo.unpack_from(chunk, rxInfo_offset)
extraDetClassInfo_offset = rxInfo_offset + rxInfo_size
extraDetectionSize = 2 + 1 + 1
extraDetectionStruct = struct.Struct('HBB')
sounding_offset = extraDetClassInfo_offset + numExtraDetectionClasses * extraDetectionSize
soundingStruct = struct.Struct('HBBBBBBBBHffffffHHffffffffffffffffffHHHH')
sounding_size = 2 + 8 + 2 + 6 * 4 + 2 + 2 + 18 * 4 + 4 * 2
#Offset to seabed image
seabedImageStart = sounding_offset + (sounding_size * (numSoundingsMaxMain + numExtraDetections))
seabedStruct = struct.Struct('h')
sbed_len = lengtha + 4 - seabedImageStart - 4
tot_no_sbed = sbed_len / 2
verify_length = tot_no_sbed * 2
lenStruct = struct.Struct('I')
dgmlenver = seabedImageStart + sbed_len
dgmlen = lenStruct.unpack_from(chunk,dgmlenver - 4)[0] # should be 4 more then lengtha
outputstr = "\n%.8f %.8f %.2f %.2f %d\n" % (latitude_deg, longitude_deg,
ellipsoidHeightReRefPoint_m, z_waterLevelReRefPoint_m, millisec)
outfile.write(outputstr)
sbed_start = seabedImageStart # This is the pointer to the start of the seabed image for current beam
no_sbed_found = 0
i = 0
stdstr = ""
while(i < numSoundingsMaxMain):
soundingIndex, txSectorNumb, detectionType, \
detectionMethod, rejectionInfo1, rejectionInfo2, \
postProcessingInfo, detectionClass, detectionConfidenceLevel, \
padding, rangeFactor, qualityFactor, \
detectionUncertaintyVer_m, detectionUncertaintyHor_m, \
detectionWindowLength_sec, echoLength_sec, \
WCBeamNumb, WCrange_samples, WCNomBeamAngleAcross_deg, \
meanAbsCoeff_dBPerkm, reflectivity1_dB, reflectivity2_dB, \
receiverSensitivityApplied_dB, sourceLevelApplied_dB, \
BScalibration_dB, TVG_dB, beamAngleReRx_deg, \
beamAngleCorrection_deg, twoWayTravelTime_sec, \
twoWayTravelTimeCorrection_sec, deltaLatitude_deg, \
deltaLongitude_deg, z_reRefPoint_m, y_reRefPoint_m, \
x_reRefPoint_m, beamIncAngleAdj_deg, realTimeCleanInfo, \
SIstartRange_samples, SIcentreSample, \
SInumSamples = soundingStruct.unpack_from(chunk, sounding_offset + i * sounding_size)
i+=1
# THIS IS IT. This is where we output xyz-points
# Depths are referred to the reference point. To get it to the waterline,
# SUBSTRACT the distance from
# Error estimates are also available: detectionUncertaintyVer_m and
# detectionUncertaintyHor_m
waterlevel = z_reRefPoint_m - z_waterLevelReRefPoint_m
plat = latitude_deg + deltaLatitude_deg
plon = longitude_deg + deltaLongitude_deg
outputstr = " %.8f %.8f %.2f %.2f %.2f" % (deltaLatitude_deg, deltaLongitude_deg,
z_reRefPoint_m, detectionUncertaintyVer_m, detectionUncertaintyHor_m)
outfile.write(outputstr)
n = float(latitude_deg)
e = float(longitude_deg)
t = int(millisec)
if (start_t < 0 or t < start_t):
start_t = t
if (t > stop_t):
stop_t = t
if (min_e > e):
min_e = e
if (min_n > n):
min_n = n
if (e > max_e):
max_e = e
if (n > max_n):
max_n = n
next_sbd_start = sbed_start + (2 * SInumSamples)
if (y_reRefPoint_m < 0): # Reverse the output of the samples, see documentation
sbed_start = next_sbd_start - 2
center_samp = SInumSamples - SIcentreSample
else:
center_samp = SIcentreSample
for n in range(0, SInumSamples):
no_sbed_found += 1
if (n == center_samp): # Put in position of center sample
outputstr = " (%.8f %.8f) " % (plat, plon)
str11 = stdstr + outputstr
stdstr = str11
sbed_sample = seabedStruct.unpack_from(chunk, sbed_start)[0]
outputstr = " %d" % (sbed_sample)
str11 = stdstr + outputstr
stdstr = str11
if (y_reRefPoint_m < 0):
sbed_start -= 2
else:
sbed_start += 2 # jump 2 bytes (short) forwards
sbed_start = next_sbd_start
# There are 9 samples per extra detection, and there may be 2 bytes padding
# at the end
if (i > 398):
break_me_here = 0 # for debugging purposes
snstr = makeStringFromSeabedImage(stdstr.split())
outw = outfileSBD
if (activeModes == 1):
middlefreq = int(frequencyMode_Hz)#Get rid of commas
# Select file to open and write to
if (activeOnOff == 0):
activeOnOff = 1
print("Active mode found")
found = 0
fcnt = 0
for fmd in freqs:
fcnt = fcnt + 1
if (fmd == middlefreq):
found = 1
outw = freqfilewrites[fcnt - 1]
if (found == 0): # New entry
fname = file + "_"+str(middlefreq)+".seabed.csv"
freqs.append(middlefreq)
freqfilewrites.append(open(fname,'w', encoding='utf-8'))
outw = freqfilewrites[len(freqfilewrites)-1]
outw.write(snstr)
#outfileSBD.write(snstr)
# Process one depth datagram, #MRZ
# lengtha and chunk are from processDatagram, see below
# millisec is decoded from the header, so I send it in as a parameter here
def processDepthDatagram1(millisec, lengtha, chunk):
global outfile
global min_e
global min_n
global max_e
global max_n
global start_t
global stop_t
global stdstr
# Headersize is 4 bytes smaller than in the headerfile, remember that the 4
# bytes with the length has been dropped
headersize = 1 + 1 + 1 + 1 + 1 + 1 + 2 + 4 + 4
partitionsize = 2 + 2
commonsize = 2 + 2 + 8
common = struct.Struct('HHBBBBBBBB')
numBytesCmnPart, pingCnt, rxFansPerPing, rxFanIndex, swathsPerPing, swathAlongPosition, \
txTransducerInd, rxTransducerInd, numRxTransducers, algorithmType = common.unpack_from(chunk, headersize + partitionsize)
pinginfo_size = 2 + 2 + 4 + 1 + 1 + 1 + 1 + 1 + 1 + 2 + 11 * 4 + 2 + 2 + 1 + 1 + 2 + 4 + 4 + 4 + 4 + 2 + 2 + 4 + 2 + 2 + 6 * 4 + 1 + 1 + 1 + 1 + 8 + 8 + 4 + 8
pinginfo = struct.Struct('HHfBBBBBBHfffffffffffhhBBHIfffHHfHHffffffBBBBddf')
numBytesInfoData, padding0, pingRate_Hz, beamSpacing, depthMode,\
subDepthMode, distanceBtwSwath, detectionMode, pulseForm, \
padding01, frequencyMode_Hz, freqRangeLowLim_Hz, \
freqRangeHighLim_Hz, maxTotalTxPulseLength_sec, \
maxEffTxPulseLength_sec, maxEffTxBandWidth_Hz, \
absCoeff_dBPerkm, portSectorEdge_deg, \
starbSectorEdge_deg, portMeanCov_deg, \
starbMeanCov_deg, portMeanCov_m, \
starbMeanCov_m, modeAndStabilisation, \
runtimeFilter1, runtimeFilter2,\
pipeTrackingStatus, transmitArraySizeUsed_deg,\
receiveArraySizeUsed_deg, transmitPower_dB,\
SLrampUpTimeRemaining, padding1,\
yawAngle_deg, numTxSectors, numBytesPerTxSector,\
headingVessel_deg, soundSpeedAtTxDepth_mPerSec,\
txTransducerDepth_m, z_waterLevelReRefPoint_m, \
x_txTransducerArm_SCS_m, y_txTransducerArm_SCS_m,\
latLongInfo, posSensorStatus, attitudeSensorStatus,\
padding2, latitude_deg, longitude_deg,\
ellipsoidHeightReRefPoint_m = pinginfo.unpack_from(chunk, headersize + partitionsize + commonsize)
# Bug in Python, fix it (binary alignments not correct)
latlon = struct.Struct("d")
klat = latlon.unpack_from(chunk, headersize + partitionsize + commonsize + 124)
klon = latlon.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8)
ellheight = struct.Struct("f")
ellipsheight = ellheight.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8)
latitude_deg = klat[0]
longitude_deg = klon[0]
ellipsoidHeightReRefPoint_m = ellipsheight[0]
# Changed in Version 1
bsCorrectionOffset_dB = ellheight.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8 + 4)[0]
byterec = struct.Struct("B")
lambertsLawApplied = byterec.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8 + 4 + 4)[0]
iceWindow = byterec.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8 + 4 + 4 + 1)[0]
shortrec = struct.Struct("H")
padding4 = shortrec.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8 + 4 + 4 + 1 + 1)[0]
sec = int(millisec / 1000)
# Pointer offset to sectorInfo
sectorInfo_offset = headersize + partitionsize + commonsize + pinginfo_size
# Changed from version 0
sectorInfo = struct.Struct('BBBBfffffffBBHfff')
sectorInfo_size = 1 + 1 + 1 + 1 + 7 * 4 + 1 + 1 + 2 + 4 + 4 + 4
i = 0
while (i < numTxSectors):
txSectorNumb, txArrNumber, txSubArray, padding0,\
sectorTransmitDelay_sec, tiltAngleReTx_deg,\
txNominalSourceLevel_dB, txFocusRange_m,\
centreFreq_Hz, signalBandWidth_Hz, \
totalSignalLength_sec, pulseShading, signalWaveForm,\
padding1, highVoltageLevel_dB, sectorTrackingCorr_dB, effectiveSignalLength_sec = sectorInfo.unpack_from(chunk, sectorInfo_offset + i * sectorInfo_size)
i+=1
rxInfo_offset = sectorInfo_offset + numTxSectors * sectorInfo_size
rxInfo = struct.Struct('HHHHffffHHHH')
rxInfo_size = 2 + 2 + 2 + 2 + 4 + 4 + 4 + 4 + 2 + 2 + 2 + 2
numBytesRxInfo, numSoundingsMaxMain, numSoundingsValidMain, numBytesPerSounding, \
WCSampleRate, seabedImageSampleRate, BSnormal_dB, BSoblique_dB, \
extraDetectionAlarmFlag, numExtraDetections, numExtraDetectionClasses, \
numBytesPerClass = rxInfo.unpack_from(chunk, rxInfo_offset)
extraDetClassInfo_offset = rxInfo_offset + rxInfo_size
extraDetectionSize = 2 + 1 + 1
extraDetectionStruct = struct.Struct('HBB')
sounding_offset = extraDetClassInfo_offset + numExtraDetectionClasses * extraDetectionSize
soundingStruct = struct.Struct('HBBBBBBBBHffffffHHffffffffffffffffffHHHH')
sounding_size = 2 + 8 + 2 + 6 * 4 + 2 + 2 + 18 * 4 + 4 * 2
#Offset to seabed image
seabedImageStart = sounding_offset + (sounding_size * (numSoundingsMaxMain + numExtraDetections))
seabedStruct = struct.Struct('h')
sbed_len = lengtha + 4 - seabedImageStart - 4
tot_no_sbed = sbed_len / 2
verify_length = tot_no_sbed * 2
lenStruct = struct.Struct('I')
dgmlenver = seabedImageStart + sbed_len
dgmlen = lenStruct.unpack_from(chunk,dgmlenver - 4)[0] # should be 4 more then lengtha
outputstr = "\n%.8f %.8f %.2f %.2f %d\n" % (latitude_deg, longitude_deg,
ellipsoidHeightReRefPoint_m, z_waterLevelReRefPoint_m, millisec)
outfile.write(outputstr)
sbed_start = seabedImageStart # This is the pointer to the start of the seabed image for current beam
no_sbed_found = 0
i = 0
stdstr = ""
while(i < numSoundingsMaxMain):
soundingIndex, txSectorNumb, detectionType, \
detectionMethod, rejectionInfo1, rejectionInfo2, \
postProcessingInfo, detectionClass, detectionConfidenceLevel, \
padding, rangeFactor, qualityFactor, \
detectionUncertaintyVer_m, detectionUncertaintyHor_m, \
detectionWindowLength_sec, echoLength_sec, \
WCBeamNumb, WCrange_samples, WCNomBeamAngleAcross_deg, \
meanAbsCoeff_dBPerkm, reflectivity1_dB, reflectivity2_dB, \
receiverSensitivityApplied_dB, sourceLevelApplied_dB, \
BScalibration_dB, TVG_dB, beamAngleReRx_deg, \
beamAngleCorrection_deg, twoWayTravelTime_sec, \
twoWayTravelTimeCorrection_sec, deltaLatitude_deg, \
deltaLongitude_deg, z_reRefPoint_m, y_reRefPoint_m, \
x_reRefPoint_m, beamIncAngleAdj_deg, realTimeCleanInfo, \
SIstartRange_samples, SIcentreSample, \
SInumSamples = soundingStruct.unpack_from(chunk, sounding_offset + i * sounding_size)
i+=1
# THIS IS IT. This is where we output xyz-points
# Depths are referred to the reference point. To get it to the waterline,
# SUBSTRACT the distance from
# Error estimates are also available: detectionUncertaintyVer_m and
# detectionUncertaintyHor_m
waterlevel = z_reRefPoint_m - z_waterLevelReRefPoint_m
plat = latitude_deg + deltaLatitude_deg
plon = longitude_deg + deltaLongitude_deg
outputstr = " %.8f %.8f %.2f %.2f %.2f" % (deltaLatitude_deg, deltaLongitude_deg,
z_reRefPoint_m, detectionUncertaintyVer_m, detectionUncertaintyHor_m)
outfile.write(outputstr)
n = float(latitude_deg)
e = float(longitude_deg)
t = int(millisec)
if (start_t < 0 or t < start_t):
start_t = t
if (t > stop_t):
stop_t = t
if (min_e > e):
min_e = e
if (min_n > n):
min_n = n
if (e > max_e):
max_e = e
if (n > max_n):
max_n = n
next_sbd_start = sbed_start + (2 * SInumSamples)
if (y_reRefPoint_m < 0): # Reverse the output of the samples, see documentation
sbed_start = next_sbd_start - 2
center_samp = SInumSamples - SIcentreSample
else:
center_samp = SIcentreSample
for n in range(0, SInumSamples):
no_sbed_found += 1
if (n == center_samp): # Put in position of center sample
outputstr = " (%.8f %.8f) " % (plat, plon)
str11 = stdstr + outputstr
stdstr = str11
sbed_sample = seabedStruct.unpack_from(chunk, sbed_start)[0]
outputstr = " %d" % (sbed_sample)
str11 = stdstr + outputstr
stdstr = str11
if (y_reRefPoint_m < 0):
sbed_start -= 2
else:
sbed_start += 2 # jump 2 bytes (short) forwards
sbed_start = next_sbd_start
# There are 9 samples per extra detection, and there may be 2 bytes padding
# at the end
if (i > 398):
break_me_here = 0 # for debugging purposes
snstr = makeStringFromSeabedImage(stdstr.split())
outfileSBD.write(snstr)
# Process one depth datagram, #MRZ
# lengtha and chunk are from processDatagram, see below
# millisec is decoded from the header, so I send it in as a parameter here
def processDepthDatagram(millisec, lengtha, chunk):
global outfile
global min_e
global min_n
global max_e
global max_n
global start_t
global stop_t
global stdstr
# Headersize is 4 bytes smaller than in the headerfile, remember that the 4
# bytes with the length has been dropped
headersize = 1 + 1 + 1 + 1 + 1 + 1 + 2 + 4 + 4
partitionsize = 2 + 2
commonsize = 2 + 2 + 8
common = struct.Struct('HHBBBBBBBB')
numBytesCmnPart, pingCnt, rxFansPerPing, rxFanIndex, swathsPerPing, swathAlongPosition, \
txTransducerInd, rxTransducerInd, numRxTransducers, algorithmType = common.unpack_from(chunk, headersize + partitionsize)
pinginfo_size = 2 + 2 + 4 + 1 + 1 + 1 + 1 + 1 + 1 + 2 + 11 * 4 + 2 + 2 + 1 + 1 + 2 + 4 + 4 + 4 + 4 + 2 + 2 + 4 + 2 + 2 + 6 * 4 + 1 + 1 + 1 + 1 + 8 + 8 + 4
pinginfo = struct.Struct('HHfBBBBBBHfffffffffffhhBBHIfffHHfHHffffffBBBBddf')
numBytesInfoData, padding0, pingRate_Hz, beamSpacing, depthMode,\
subDepthMode, distanceBtwSwath, detectionMode, pulseForm, \
padding01, frequencyMode_Hz, freqRangeLowLim_Hz, \
freqRangeHighLim_Hz, maxTotalTxPulseLength_sec, \
maxEffTxPulseLength_sec, maxEffTxBandWidth_Hz, \
absCoeff_dBPerkm, portSectorEdge_deg, \
starbSectorEdge_deg, portMeanCov_deg, \
starbMeanCov_deg, portMeanCov_m, \
starbMeanCov_m, modeAndStabilisation, \
runtimeFilter1, runtimeFilter2,\
pipeTrackingStatus, transmitArraySizeUsed_deg,\
receiveArraySizeUsed_deg, transmitPower_dB,\
SLrampUpTimeRemaining, padding1,\
yawAngle_deg, numTxSectors, numBytesPerTxSector,\
headingVessel_deg, soundSpeedAtTxDepth_mPerSec,\
txTransducerDepth_m, z_waterLevelReRefPoint_m, \
x_txTransducerArm_SCS_m, y_txTransducerArm_SCS_m,\
latLongInfo, posSensorStatus, attitudeSensorStatus,\
padding2, latitude_deg, longitude_deg,\
ellipsoidHeightReRefPoint_m = pinginfo.unpack_from(chunk, headersize + partitionsize + commonsize)
# Bug in Python, fix it (binary alignments not correct)
latlon = struct.Struct("d")
klat = latlon.unpack_from(chunk, headersize + partitionsize + commonsize + 124)
klon = latlon.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8)
ellheight = struct.Struct("f")
ellipsheight = ellheight.unpack_from(chunk, headersize + partitionsize + commonsize + 124 + 8 + 8)
latitude_deg = klat[0]
longitude_deg = klon[0]
ellipsoidHeightReRefPoint_m = ellipsheight[0]
sec = int(millisec / 1000)
# Pointer offset to sectorInfo
sectorInfo_offset = headersize + partitionsize + commonsize + pinginfo_size
sectorInfo = struct.Struct('BBBBfffffffBBH')
sectorInfo_size = 1 + 1 + 1 + 1 + 7 * 4 + 1 + 1 + 2
i = 0
while (i < numTxSectors):
txSectorNumb, txArrNumber, txSubArray, padding0,\
sectorTransmitDelay_sec, tiltAngleReTx_deg,\
txNominalSourceLevel_dB, txFocusRange_m,\
centreFreq_Hz, signalBandWidth_Hz, \
totalSignalLength_sec, pulseShading, signalWaveForm,\
padding1 = sectorInfo.unpack_from(chunk, sectorInfo_offset + i * sectorInfo_size)
i+=1
rxInfo_offset = sectorInfo_offset + numTxSectors * sectorInfo_size
rxInfo = struct.Struct('HHHHffffHHHH')
rxInfo_size = 2 + 2 + 2 + 2 + 4 + 4 + 4 + 4 + 2 + 2 + 2 + 2
numBytesRxInfo, numSoundingsMaxMain, numSoundingsValidMain, numBytesPerSounding, \
WCSampleRate, seabedImageSampleRate, BSnormal_dB, BSoblique_dB, \
extraDetectionAlarmFlag, numExtraDetections, numExtraDetectionClasses, \
numBytesPerClass = rxInfo.unpack_from(chunk, rxInfo_offset)
extraDetClassInfo_offset = rxInfo_offset + rxInfo_size
extraDetectionSize = 2 + 1 + 1
extraDetectionStruct = struct.Struct('HBB')
sounding_offset = extraDetClassInfo_offset + numExtraDetectionClasses * extraDetectionSize
soundingStruct = struct.Struct('HBBBBBBBBHffffffHHffffffffffffffffffHHHH')
sounding_size = 2 + 8 + 2 + 6 * 4 + 2 + 2 + 18 * 4 + 4 * 2
#Offset to seabed image
seabedImageStart = sounding_offset + (sounding_size * (numSoundingsMaxMain + numExtraDetections))
seabedStruct = struct.Struct('h')
sbed_len = lengtha + 4 - seabedImageStart - 4
tot_no_sbed = sbed_len / 2
verify_length = tot_no_sbed * 2
lenStruct = struct.Struct('I')
dgmlenver = seabedImageStart + sbed_len
dgmlen = lenStruct.unpack_from(chunk,dgmlenver - 4)[0] # should be 4 more then lengtha
outputstr = "\n%.8f %.8f %.2f %.2f %d\n" % (latitude_deg, longitude_deg,
ellipsoidHeightReRefPoint_m, z_waterLevelReRefPoint_m, millisec)
outfile.write(outputstr)
sbed_start = seabedImageStart # This is the pointer to the start of the seabed image for current beam
no_sbed_found = 0
i = 0
stdstr = ""
while(i < numSoundingsMaxMain):
soundingIndex, txSectorNumb, detectionType, \
detectionMethod, rejectionInfo1, rejectionInfo2, \
postProcessingInfo, detectionClass, detectionConfidenceLevel, \
padding, rangeFactor, qualityFactor, \
detectionUncertaintyVer_m, detectionUncertaintyHor_m, \
detectionWindowLength_sec, echoLength_sec, \
WCBeamNumb, WCrange_samples, WCNomBeamAngleAcross_deg, \
meanAbsCoeff_dBPerkm, reflectivity1_dB, reflectivity2_dB, \
receiverSensitivityApplied_dB, sourceLevelApplied_dB, \
BScalibration_dB, TVG_dB, beamAngleReRx_deg, \
beamAngleCorrection_deg, twoWayTravelTime_sec, \
twoWayTravelTimeCorrection_sec, deltaLatitude_deg, \
deltaLongitude_deg, z_reRefPoint_m, y_reRefPoint_m, \
x_reRefPoint_m, beamIncAngleAdj_deg, realTimeCleanInfo, \
SIstartRange_samples, SIcentreSample, \
SInumSamples = soundingStruct.unpack_from(chunk, sounding_offset + i * sounding_size)
i+=1
# THIS IS IT. This is where we output xyz-points
# Depths are referred to the reference point. To get it to the waterline,
# SUBSTRACT the distance from
# Error estimates are also available: detectionUncertaintyVer_m and
# detectionUncertaintyHor_m
waterlevel = z_reRefPoint_m - z_waterLevelReRefPoint_m
plat = latitude_deg + deltaLatitude_deg
plon = longitude_deg + deltaLongitude_deg
outputstr = " %.8f %.8f %.2f %.2f %.2f" % (deltaLatitude_deg, deltaLongitude_deg,
z_reRefPoint_m, detectionUncertaintyVer_m, detectionUncertaintyHor_m)
outfile.write(outputstr)
n = float(latitude_deg)
e = float(longitude_deg)
t = int(millisec)
if (start_t < 0 or t < start_t):
start_t = t
if (t > stop_t):
stop_t = t
if (min_e > e):
min_e = e
if (min_n > n):
min_n = n
if (e > max_e):
max_e = e
if (n > max_n):
max_n = n
next_sbd_start = sbed_start + (2 * SInumSamples)
if (y_reRefPoint_m < 0): # Reverse the output of the samples, see documentation
sbed_start = next_sbd_start - 2
center_samp = SInumSamples - SIcentreSample
else:
center_samp = SIcentreSample
for n in range(0, SInumSamples):
no_sbed_found += 1
if (n == center_samp): # Put in position of center sample
outputstr = " (%.8f %.8f) " % (plat, plon)
str11 = stdstr + outputstr
stdstr = str11
sbed_sample = seabedStruct.unpack_from(chunk, sbed_start)[0]
outputstr = " %d" % (sbed_sample)
str11 = stdstr + outputstr
stdstr = str11
if (y_reRefPoint_m < 0):
sbed_start -= 2
else:
sbed_start += 2 # jump 2 bytes (short) forwards
sbed_start = next_sbd_start
# There are 9 samples per extra detection, and there may be 2 bytes padding
# at the end
if (i > 398):
break_me_here = 0 # for debugging purposes
snstr = makeStringFromSeabedImage(stdstr.split())
outfileSBD.write(snstr)
# What happens in processDatagram? Read the documentation of the kmall-format.
# This is the processing of the datagram to find out what datagram type this
# is.
# The processing of each datagram type takes place in specific routines
def processDatagram(lengtha, chunk):
header_without_length = struct.Struct('ccccBBHII')
dgm_type0,dgm_type1,dgm_type2,dgm_type3,dgm_version,sysid,emid,sec,nsec = header_without_length.unpack_from(chunk,0)
dgm_type = dgm_type0 + dgm_type1 + dgm_type2 + dgm_type3
# Decode time
nanosec = sec
nanosec *= 1E9
nanosec += nsec
millisec = nanosec
millisec /= 1E6
strk = dgm_type.decode()
if (strk == '#MRZ'):
if (dgm_version == 0):
processDepthDatagram(millisec, lengtha, chunk)
if (dgm_version == 1):
processDepthDatagram1(millisec, lengtha, chunk)
if (dgm_version == 2):
processDepthDatagram2(millisec, lengtha, chunk)
# I shall not humiliate any developer by documenting this main program.
# The processing of the datagram takes place in the routine processDatagram.
files = glob.glob('*.kmall')
for file in files:
try:
activeOnOff = 0
f = open(file, 'rb')
nfile = file + ".pings"
outfile = open(nfile,'w', encoding='utf-8')
nfile = file + ".seabed.csv"
outfileSBD = open(nfile,'w', encoding='utf-8')
freqs = []
for g in freqfilewrites:
g.close()
freqfilewrites = []
except Exception:
print('File',file,'not opened.')
sys.exit(0)
print(file)
# Process the file:
f.seek(0, 2)
file_size = f.tell()
f.seek(0, 0)
remaining = file_size
# Read all datagrams and process each of them
while (remaining > 0):
# First read 4 bytes that contains the length of the chunk
lengthb = struct.unpack("I",f.read(4))
remaining -= 4
# Then read the chunk. Note that the length read includes the 4 bytes in the
# integer.
dgmsize = lengthb[0] - 4
chunk = f.read(dgmsize)
remaining -= dgmsize
# Then process this chunk
try:
processDatagram(dgmsize, chunk)
except Exception as e:
print('Exception encountered', str(e))
f.close()
outfile.close()
outfileSBD.close()
# Remove empty seabed image files
filelist = glob.glob('*.seabed.csv')
for file in filelist:
if (os.stat(file).st_size == 0):
os.remove(file)
aatime = int(start_t / 1e3) - (24 * 60 * 60)
bbtime = int(stop_t / 1e3) + (24 * 60 * 60)
openTidefile(min_n, min_e, max_n, max_e, aatime, bbtime)
filelist = glob.glob('*.pings')
for file in filelist:
try:
f = open(file)
nfile = file + ".tidecorrected.utm.csv"
outfile = open(nfile,'w', encoding='utf-8')
except Exception:
print('File',file,'not opened.')
sys.exit(0)
print(file)
if (len(times) <= 0):
print("no tides, depths not corrected for tide")
line = f.readline()
while (line):
toks = line.split()
if (len(toks) == 5):
n = float(toks[0])
e = float(toks[1])
tm = int(int(toks[4]) / 1e3)
tide = getTide(tm)
if (tide > 9999):
tide = 0
toWlev = float(toks[3]) + tide
else:
cnt = 0
while(cnt < len(toks)):
lat = n + float(toks[cnt])
lon = e + float(toks[cnt + 1])
dpt = float(toks[cnt + 2]) + toWlev
u = utm.from_latlon(lat, lon)
outputstr = "%.2f %.2f %.2f\n" % (u[0], u[1], dpt * -1.0)
outfile.write(outputstr)
cnt += 5
line = f.readline()
f.close()
| 40.782334
| 204
| 0.621261
| 4,357
| 38,784
| 5.387423
| 0.139775
| 0.005368
| 0.024922
| 0.00409
| 0.773144
| 0.761811
| 0.750522
| 0.745495
| 0.742768
| 0.742768
| 0
| 0.029219
| 0.288753
| 38,784
| 950
| 205
| 40.825263
| 0.821715
| 0.121545
| 0
| 0.680628
| 0
| 0.001309
| 0.03387
| 0.008664
| 0
| 0
| 0
| 0
| 0
| 1
| 0.009162
| false
| 0
| 0.013089
| 0
| 0.028796
| 0.013089
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
a5b7581b7b30a01fc9e62df612d303ae57d22d2e
| 255
|
py
|
Python
|
backend/exceptions.py
|
jacklee1792/spiggy
|
8ebb8d3d5465cce1dc45691a914e31922fb5b3cc
|
[
"MIT"
] | 9
|
2021-05-17T01:53:46.000Z
|
2021-12-29T04:05:32.000Z
|
backend/exceptions.py
|
jacklee1792/spiggy
|
8ebb8d3d5465cce1dc45691a914e31922fb5b3cc
|
[
"MIT"
] | null | null | null |
backend/exceptions.py
|
jacklee1792/spiggy
|
8ebb8d3d5465cce1dc45691a914e31922fb5b3cc
|
[
"MIT"
] | 4
|
2021-05-22T15:13:42.000Z
|
2021-08-22T16:08:18.000Z
|
class ResponseCodeError(Exception):
"""
Called when the Skyblock API returns an unexpected response code.
"""
pass
class UnexpectedUpdateError(Exception):
"""
Called when the Skyblock API updates during a cache.
"""
pass
| 19.615385
| 69
| 0.67451
| 27
| 255
| 6.37037
| 0.703704
| 0.174419
| 0.22093
| 0.255814
| 0.383721
| 0.383721
| 0
| 0
| 0
| 0
| 0
| 0
| 0.247059
| 255
| 12
| 70
| 21.25
| 0.895833
| 0.462745
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| true
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| null | 0
| 1
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| null | 0
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| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
a5ba932544970f9ce5e419f6c1317abd2ad2ec15
| 2,418
|
py
|
Python
|
project/lib/decorators.py
|
feilaoda/FlickBoard
|
21e6364117e336f4eb60d83f496d9fc1cb2784ae
|
[
"MIT"
] | 2
|
2016-07-21T08:52:30.000Z
|
2017-06-15T06:31:30.000Z
|
project/lib/decorators.py
|
feilaoda/FlickBoard
|
21e6364117e336f4eb60d83f496d9fc1cb2784ae
|
[
"MIT"
] | null | null | null |
project/lib/decorators.py
|
feilaoda/FlickBoard
|
21e6364117e336f4eb60d83f496d9fc1cb2784ae
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import functools
import urllib
from tornado.web import HTTPError
from tornado.options import options
def admin(method):
"""Decorate with this method to restrict to site admins."""
@functools.wraps(method)
def wrapper(self, *args, **kwargs):
if not self.current_user:
if self.request.method == "GET":
url = self.get_login_url()
if "?" not in url:
url += "?" + urllib.urlencode(dict(next=self.request.full_url()))
self.redirect(url)
return
raise HTTPError(403)
elif not self.is_admin:
if self.request.method == "GET":
self.redirect(options.home_url)
return
raise HTTPError(403)
else:
return method(self, *args, **kwargs)
return wrapper
def editor(method):
"""Decorate with this method to restrict to site editor."""
@functools.wraps(method)
def wrapper(self, *args, **kwargs):
if not self.current_user:
if self.request.method == "GET":
url = self.get_login_url()
if "?" not in url:
url += "?" + urllib.urlencode(dict(next=self.request.full_url()))
self.redirect(url)
return
raise HTTPError(403)
elif not self.is_editor:
if self.request.method == "GET":
self.redirect(options.home_url)
return
raise HTTPError(403)
else:
return method(self, *args, **kwargs)
return wrapper
def authenticated(method):
"""Decorate methods with this to require that the user be logged in.
Fix the redirect url with full_url.
Tornado use uri by default.
"""
@functools.wraps(method)
def wrapper(self, *args, **kwargs):
user = self.current_user
if not user:
if self.request.method == "GET":
url = self.get_login_url()
if "?" not in url:
url += "?" + urllib.urlencode(dict(next=self.request.full_url()))
self.redirect(url)
return
raise HTTPError(403)
#self._current_user = user
return method(self, *args, **kwargs)
return wrapper
| 32.675676
| 86
| 0.528122
| 264
| 2,418
| 4.765152
| 0.227273
| 0.069952
| 0.066773
| 0.075517
| 0.762321
| 0.762321
| 0.762321
| 0.73132
| 0.696343
| 0.626391
| 0
| 0.010478
| 0.368486
| 2,418
| 73
| 87
| 33.123288
| 0.81336
| 0.118693
| 0
| 0.803571
| 0
| 0
| 0.010401
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.107143
| false
| 0
| 0.071429
| 0
| 0.375
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 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
| 5
|
3c18277e5812880a771803b7a7fd0aad9a5386c9
| 36
|
py
|
Python
|
ndscheduler/core/scheduler/__init__.py
|
hairbeartoe/ndscheduler
|
a5a6b1fc84ffa3d6765f3d63152198d4cffab4e9
|
[
"BSD-2-Clause"
] | 3
|
2019-06-28T08:30:10.000Z
|
2021-09-10T20:55:41.000Z
|
ndscheduler/core/scheduler/__init__.py
|
hairbeartoe/ndscheduler
|
a5a6b1fc84ffa3d6765f3d63152198d4cffab4e9
|
[
"BSD-2-Clause"
] | 1
|
2017-11-16T23:49:21.000Z
|
2017-11-16T23:49:21.000Z
|
ndscheduler/core/scheduler/__init__.py
|
hairbeartoe/ndscheduler
|
a5a6b1fc84ffa3d6765f3d63152198d4cffab4e9
|
[
"BSD-2-Clause"
] | 3
|
2017-02-09T19:32:31.000Z
|
2017-05-04T05:43:13.000Z
|
"""Customize the core scheduler."""
| 18
| 35
| 0.694444
| 4
| 36
| 6.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 36
| 1
| 36
| 36
| 0.78125
| 0.805556
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
3c3e0f15f06a0c26582ddd69a84fda03cc532bab
| 172
|
py
|
Python
|
mealie/routes/groups/groups.py
|
BryceStevenWilley/mealie
|
20c3873980f6d5d01e86ce6ef7915d95a06d8f6a
|
[
"MIT"
] | 1,927
|
2021-01-02T20:01:15.000Z
|
2022-03-31T22:49:18.000Z
|
mealie/routes/groups/groups.py
|
BryceStevenWilley/mealie
|
20c3873980f6d5d01e86ce6ef7915d95a06d8f6a
|
[
"MIT"
] | 545
|
2021-01-02T20:32:28.000Z
|
2022-03-31T23:37:08.000Z
|
mealie/routes/groups/groups.py
|
BryceStevenWilley/mealie
|
20c3873980f6d5d01e86ce6ef7915d95a06d8f6a
|
[
"MIT"
] | 254
|
2021-01-03T00:20:07.000Z
|
2022-03-23T22:37:21.000Z
|
from fastapi import APIRouter
from mealie.routes.groups import crud
router = APIRouter()
router.include_router(crud.admin_router)
router.include_router(crud.user_router)
| 21.5
| 40
| 0.837209
| 24
| 172
| 5.833333
| 0.5
| 0.185714
| 0.271429
| 0.328571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.087209
| 172
| 7
| 41
| 24.571429
| 0.89172
| 0
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| 0
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| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
3c44b927bd9a26aa5bca72bcff60d5b394aa30b8
| 30
|
py
|
Python
|
voxelbotutils/__init__.py
|
6days9weeks/Novus
|
a21157f15d7a07669cb75b3f023bd9eedf40e40e
|
[
"MIT"
] | 2
|
2022-01-22T16:05:42.000Z
|
2022-01-22T16:06:07.000Z
|
voxelbotutils/__init__.py
|
6days9weeks/Novus
|
a21157f15d7a07669cb75b3f023bd9eedf40e40e
|
[
"MIT"
] | null | null | null |
voxelbotutils/__init__.py
|
6days9weeks/Novus
|
a21157f15d7a07669cb75b3f023bd9eedf40e40e
|
[
"MIT"
] | null | null | null |
from discord.ext.vbu import *
| 15
| 29
| 0.766667
| 5
| 30
| 4.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 30
| 1
| 30
| 30
| 0.884615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| 1
| 0
| null | 0
| 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
| 0
| 0
|
0
| 5
|
b1db715b8bd221b0d4a24e82568870f2a297c12b
| 49
|
py
|
Python
|
ssds/abc/__init__.py
|
claytsay/ssds-python
|
7396c6b7271710a82001ab91d92ef8bd33108a0e
|
[
"Apache-2.0"
] | 1
|
2020-07-04T23:11:56.000Z
|
2020-07-04T23:11:56.000Z
|
ssds/abc/__init__.py
|
claytsay/ssds-python
|
7396c6b7271710a82001ab91d92ef8bd33108a0e
|
[
"Apache-2.0"
] | null | null | null |
ssds/abc/__init__.py
|
claytsay/ssds-python
|
7396c6b7271710a82001ab91d92ef8bd33108a0e
|
[
"Apache-2.0"
] | null | null | null |
from ssds.abc.PriorityQueue import PriorityQueue
| 24.5
| 48
| 0.877551
| 6
| 49
| 7.166667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081633
| 49
| 1
| 49
| 49
| 0.955556
| 0
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| 0
| true
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| 1
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| 1
| 0
| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
5901d1fe8bbc5cf85f31d69745fef7d43d2146f9
| 18,360
|
py
|
Python
|
tests/aws/test_s3.py
|
kislerdm/cloud-connectors
|
1a6ab99df7dbbac333fe69873fda1090e0d0b0b1
|
[
"MIT"
] | null | null | null |
tests/aws/test_s3.py
|
kislerdm/cloud-connectors
|
1a6ab99df7dbbac333fe69873fda1090e0d0b0b1
|
[
"MIT"
] | null | null | null |
tests/aws/test_s3.py
|
kislerdm/cloud-connectors
|
1a6ab99df7dbbac333fe69873fda1090e0d0b0b1
|
[
"MIT"
] | 1
|
2020-06-29T02:12:56.000Z
|
2020-06-29T02:12:56.000Z
|
# pylint: disable=missing-function-docstring
import os
import sys
import json
import inspect
import warnings
import logging
from moto import mock_s3 # type: ignore
import boto3 # type: ignore
from cloud_connectors.aws import s3 as module
logging.basicConfig(level=logging.ERROR, format="[line: %(lineno)s] %(message)s")
LOGGER = logging.getLogger(__name__)
warnings.simplefilter(action="ignore", category=FutureWarning)
CLASSES = {"Client"}
CLASS_METHODS = {
"CLIENT_CONFIG_SCHEMA",
"S3_TRANSFER_SCHEMA",
"list_buckets",
"list_objects",
"list_objects_size",
"read",
"write",
"upload",
"download",
"copy",
"move",
"delete_object",
"delete_objects",
}
def test_module_miss_classes() -> None:
missing = CLASSES.difference(set(module.__dir__()))
if missing:
LOGGER.error(f"""Class(es) '{"', '".join(missing)}' is(are) missing.""")
sys.exit(1)
def test_class_client_miss_methods() -> None:
model_members = inspect.getmembers(module.Client)
missing = CLASS_METHODS.difference({i[0] for i in model_members})
if missing:
LOGGER.error(f"""Class 'Client' Method(s) '{"', '".join(missing)}' is(are) missing.""")
sys.exit(1)
def test_connection() -> None:
tests = [
{
"type": "valid",
"config": {
"aws_access_key_id": "AKIAAAAAAAAAAAAA1111",
"aws_secret_access_key": "aaaaaaaaxxxxxxxx02330128skjjhasdg7723s!!",
},
},
{
"type": "failty_config_key",
"config": {
"aws_access_key_id": "AKIAAAAAAAAAAAAA11",
"aws_secret_access_key": "aaaaaaaaxxxxxxxx02330128skjjhasdg7723s!!",
},
},
{
"type": "failty_config_secret",
"config": {
"aws_access_key_id": "AKIAAAAAAAAAAAAA1111",
"aws_secret_access_key": "aaaaaaaaxxxxxxxx02330128skjjhasdg7723s",
},
},
]
for test in tests:
try:
_ = module.Client(test["config"])
except Exception as ex:
if test["type"] == "valid":
LOGGER.error(f"Failed client instance: {ex}")
sys.exit(1)
elif test["type"] == "failty_config_key":
if type(ex).__name__ != "ConfigurationError":
LOGGER.error("Wrong error type to handle config error")
sys.exit(1)
if "data.aws_access_key_id" not in str(ex):
LOGGER.error(f"Configuration validator error - key: {ex}")
sys.exit(1)
elif test["type"] == "failty_config_secret":
if type(ex).__name__ != "ConfigurationError":
LOGGER.error("Wrong error type to handle config error")
sys.exit(1)
if "data.aws_secret_access_key" not in str(ex):
LOGGER.error(f"Configuration validator error - secret: {ex}")
sys.exit(1)
@mock_s3
def test_list_buckets() -> None:
tests = [
{"create": None, "want": [],},
{"create": "test", "want": ["test"],},
{"create": "test1", "want": ["test", "test1"]},
]
def _create_dummy_buckets(bucket: str) -> None:
boto3.client("s3").create_bucket(Bucket=bucket)
client = module.Client()
for test in tests:
if test["create"]:
_create_dummy_buckets(test["create"])
buckets = client.list_buckets()
if buckets != test["want"]:
LOGGER.error(f"Error listing buckets. got: {buckets}, want: {test['want']}")
sys.exit(1)
BUCKET = "test_bucket"
OBJ_CONTENT = {"products": [{"a": 1}, {"b": "foo"},]}
def put_object(mock_client: boto3.client, obj_key: str) -> None:
mock_client.put_object(
Bucket=BUCKET, Key=obj_key, Body=json.dumps(OBJ_CONTENT), ContentType="application/json",
)
@mock_s3
def test_list_objects() -> None:
mock_client = boto3.client("s3")
mock_client.create_bucket(Bucket=BUCKET)
tests = [
{"success": False, "create": None, "want": [],},
{"success": True, "create": None, "want": [],},
{"success": True, "create": "test.json", "want": ["test.json"],},
{"success": True, "create": "test1.json", "want": ["test.json", "test1.json"],},
{"success": True, "create": "blah.json", "want": ["test.json", "test1.json"],},
]
client = module.Client()
for test in tests:
if test["success"]:
if test["create"]:
put_object(mock_client, test["create"])
objects = client.list_objects(bucket=BUCKET, prefix="test")
if objects != test["want"]:
LOGGER.error(f"Error listing objects. got: {objects}, want: {test['want']}")
sys.exit(1)
else:
try:
objects = client.list_objects(bucket=f"{BUCKET}_bar", prefix="test")
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
@mock_s3
def test_list_objects_size() -> None:
mock_client = boto3.client("s3")
mock_client.create_bucket(Bucket=BUCKET)
tests = [
{"success": False, "create": None, "want": [],},
{"success": True, "create": None, "want": [],},
{"success": True, "create": "test.json", "want": [("test.json", 38)],},
{"success": True, "create": "test1.json", "want": [("test.json", 38), ("test1.json", 38)],},
{"success": True, "create": "blah.json", "want": [("test.json", 38), ("test1.json", 38)],},
]
client = module.Client()
for test in tests:
if test["success"]:
if test["create"]:
put_object(mock_client, test["create"])
objects = client.list_objects_size(bucket=BUCKET, prefix="test")
if objects != test["want"]:
LOGGER.error(f"Error listing objects. got: {objects}, want: {test['want']}")
sys.exit(1)
else:
try:
objects = client.list_objects_size(bucket=f"{BUCKET}_bar", prefix="test")
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
@mock_s3
def test_read() -> None:
path = "test.json"
mock_client = boto3.client("s3")
mock_client.create_bucket(Bucket=BUCKET)
put_object(mock_client, path)
client = module.Client()
try:
_ = client.read(bucket=f"{BUCKET}_bar", path=path)
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
try:
_ = client.read(bucket=BUCKET, path=f"{path}_bar")
except Exception as ex:
if type(ex).__name__ != "ObjectNotFound":
LOGGER.error("Wrong error type to handle NoSuchKey error")
sys.exit(1)
obj = client.read(bucket=BUCKET, path=path)
if json.loads(obj) != OBJ_CONTENT:
LOGGER.error("Error reading object")
sys.exit(1)
try:
client.read("", "test.json")
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle InvalidBucketName error")
sys.exit(1)
@mock_s3
def test_write() -> None:
path = "test.json"
mock_client = boto3.client("s3")
mock_client.create_bucket(Bucket=BUCKET)
client = module.Client()
try:
client.write(obj=json.dumps(OBJ_CONTENT), bucket=f"{BUCKET}_bar", path=path)
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
try:
client.write(obj=OBJ_CONTENT, bucket=BUCKET, path=path)
except Exception as ex:
if type(ex).__name__ != "TypeError":
LOGGER.error("Wrong error type to handle ParamValidationError error")
sys.exit(1)
client.write(obj=json.dumps(OBJ_CONTENT), bucket=BUCKET, path=path)
obj = mock_client.get_object(Bucket=BUCKET, Key=path)["Body"].read()
if json.loads(obj) != OBJ_CONTENT:
LOGGER.error("Error writing object")
sys.exit(1)
@mock_s3
def test_upload() -> None:
path = "test.json"
path_os = f"/tmp/{path}"
mock_client = boto3.client("s3")
mock_client.create_bucket(Bucket=BUCKET)
client = module.Client()
try:
client.upload(bucket=BUCKET, path_source=path_os, path_destination=path)
except Exception as ex:
if type(ex).__name__ != "FileNotFoundError":
LOGGER.error("Wrong error type to handle FileNotFoundError error")
sys.exit(1)
with open(path_os, "w") as f:
json.dump(OBJ_CONTENT, f)
try:
client.upload(bucket=f"{BUCKET}_bar", path_source=f"/tmp/{path}", path_destination=path)
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
client.upload(bucket=BUCKET, path_source=path_os, path_destination=path)
obj = mock_client.get_object(Bucket=BUCKET, Key=path)["Body"].read()
if json.loads(obj) != OBJ_CONTENT:
LOGGER.error("Error writing object")
sys.exit(1)
os.remove(path_os)
@mock_s3
def test_download() -> None:
path = "test.json"
path_os = f"/tmp/{path}"
mock_client = boto3.client("s3")
mock_client.create_bucket(Bucket=BUCKET)
put_object(mock_client, path)
client = module.Client()
try:
client.download(bucket=f"{BUCKET}_bar", path_source=path, path_destination=path_os)
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
try:
client.download(bucket=BUCKET, path_source=f"{path}_bar", path_destination=path_os)
except Exception as ex:
if type(ex).__name__ != "ObjectNotFound":
LOGGER.error("Wrong error type to handle NoSuchKey error")
sys.exit(1)
try:
client.download(bucket=BUCKET, path_source=path, path_destination="/bin/test.json")
except Exception as ex:
if type(ex).__name__ != "DestinationPathPermissionsError":
LOGGER.error("Wrong error type to handle write permissoin error")
sys.exit(1)
try:
client.download(
bucket=BUCKET, path_source=path, path_destination="/tmp/s3_test____/test.json",
)
except Exception as ex:
if type(ex).__name__ != "DestinationPathError":
LOGGER.error("Wrong error type to handle desination directory error")
sys.exit(1)
client.download(bucket=BUCKET, path_source=path, path_destination=path_os)
with open(path_os, "r") as f:
if json.load(f) != OBJ_CONTENT:
LOGGER.error("Error downloading object - content")
sys.exit(1)
os.remove(path_os)
try:
client.download(
bucket=BUCKET, path_source=path, path_destination=path_os, configuration={"a": 1}
)
except Exception as ex:
if type(ex).__name__ != "ConfigurationError":
LOGGER.error("Wrong error type to handle download configuration error")
sys.exit(1)
@mock_s3
def test_copy() -> None:
path = "test.json"
mock_client = boto3.client("s3")
mock_client.create_bucket(Bucket=BUCKET)
mock_client.create_bucket(Bucket=f"{BUCKET}_destination")
put_object(mock_client, path)
client = module.Client()
try:
client.copy(
bucket_source=f"{BUCKET}_bar",
bucket_destination=f"{BUCKET}_destination",
path_source=path,
)
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
try:
client.copy(
bucket_source=BUCKET,
bucket_destination=f"{BUCKET}_destination",
path_source=f"{path}_bar",
)
except Exception as ex:
if type(ex).__name__ != "ObjectNotFound":
LOGGER.error("Wrong error type to handle NoSuchKey error")
sys.exit(1)
try:
client.copy(
bucket_source=BUCKET, bucket_destination=f"{BUCKET}_destination_bar", path_source=path,
)
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
client.copy(
bucket_source=BUCKET, bucket_destination=f"{BUCKET}_destination", path_source=path,
)
obj = mock_client.get_object(Bucket=BUCKET, Key=path)
if json.loads(obj["Body"].read()) != OBJ_CONTENT:
LOGGER.error("Error copying object - content")
sys.exit(1)
if obj["ContentType"] != "application/json":
LOGGER.error("Error copying object - content type")
sys.exit(1)
# replace the object itself
try:
client.copy(
bucket_source=BUCKET,
bucket_destination=BUCKET,
path_source=path,
path_destination=path,
)
except Exception as ex:
LOGGER.error(ex)
sys.exit(1)
@mock_s3
def test_delete_object() -> None:
path = "test.json"
mock_client = boto3.client("s3")
mock_client.create_bucket(Bucket=BUCKET)
put_object(mock_client, path)
client = module.Client()
try:
client.delete_object(bucket=f"{BUCKET}_bar", path=path)
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
try:
client.delete_object(bucket=BUCKET, path=f"{path}_bar")
except Exception as ex:
if type(ex).__name__ != "ObjectNotFound":
LOGGER.error("Wrong error type to handle NoSuchKey error")
sys.exit(1)
client.delete_object(bucket=BUCKET, path=path)
obj_list = mock_client.list_objects_v2(Bucket=BUCKET, Prefix=path)
if "Contents" in obj_list:
LOGGER.error("Error deleting object")
sys.exit(1)
@mock_s3
def test_delete_objects() -> None:
paths = ["test.json", "test1.json"]
mock_client = boto3.client("s3")
mock_client.create_bucket(Bucket=BUCKET)
for path in paths:
put_object(mock_client, path)
client = module.Client()
try:
client.delete_objects(bucket=f"{BUCKET}_bar", paths=paths)
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
try:
client.delete_objects(bucket=BUCKET, paths=[*paths, "test_bar.json"])
except Exception as ex:
if type(ex).__name__ != "ObjectNotFound":
LOGGER.error("Wrong error type to handle NoSuchKey error")
sys.exit(1)
client.delete_objects(bucket=BUCKET, paths=paths)
for path in paths:
obj_list = mock_client.list_objects_v2(Bucket=BUCKET, Prefix=path)
if "Contents" in obj_list:
LOGGER.error("Error deleting object")
sys.exit(1)
@mock_s3
def test_move() -> None:
path = "test.json"
mock_client = boto3.client("s3")
mock_client.create_bucket(Bucket=BUCKET)
mock_client.create_bucket(Bucket=f"{BUCKET}_destination")
put_object(mock_client, path)
client = module.Client()
try:
client.move(
bucket_source=f"{BUCKET}_bar",
bucket_destination=f"{BUCKET}_destination",
path_source=path,
)
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
try:
client.move(
bucket_source=BUCKET,
bucket_destination=f"{BUCKET}_destination",
path_source=f"{path}_bar",
)
except Exception as ex:
if type(ex).__name__ != "ObjectNotFound":
LOGGER.error("Wrong error type to handle NoSuchKey error")
sys.exit(1)
try:
client.move(
bucket_source=BUCKET, bucket_destination=f"{BUCKET}_destination_bar", path_source=path,
)
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
client.move(
bucket_source=BUCKET, bucket_destination=f"{BUCKET}_destination", path_source=path,
)
obj_list_source = mock_client.list_objects_v2(Bucket=BUCKET, Prefix=path)
obj_list_destination = mock_client.list_objects_v2(Bucket=f"{BUCKET}_destination", Prefix=path)
if "Contents" in obj_list_source and len(obj_list_destination["Contents"]) == 1:
LOGGER.error("Error moving object")
sys.exit(1)
obj = mock_client.get_object(Bucket=f"{BUCKET}_destination", Key=path)
if json.loads(obj["Body"].read()) != OBJ_CONTENT:
LOGGER.error("Error copying object - content")
sys.exit(1)
if obj["ContentType"] != "application/json":
LOGGER.error("Error copying object - content type")
sys.exit(1)
def test_exceptions() -> None:
client = module.Client()
try:
client.list_buckets()
except Exception as ex:
if type(ex).__name__ != "ConnectionError":
LOGGER.error("Wrong error type to handle access error")
sys.exit(1)
try:
client.list_objects("")
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
try:
client.list_objects("t")
except Exception as ex:
if type(ex).__name__ != "BucketNotFound":
LOGGER.error("Wrong error type to handle NoSuchBucket error")
sys.exit(1)
| 31.438356
| 100
| 0.602669
| 2,176
| 18,360
| 4.887868
| 0.081801
| 0.062053
| 0.036856
| 0.051805
| 0.817131
| 0.796352
| 0.766924
| 0.73176
| 0.670741
| 0.652407
| 0
| 0.011963
| 0.266993
| 18,360
| 583
| 101
| 31.492281
| 0.778347
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| 0.01829
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| 0.036559
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|
0
| 5
|
5924e9896781e7e3e7fb3b91f233b0c24adf0dff
| 29
|
py
|
Python
|
python/queue/test/__init__.py
|
mario21ic/abstract-data-structures
|
2bf89db8cff4cf79c66d63eb84a96c33cda6cebd
|
[
"MIT"
] | null | null | null |
python/queue/test/__init__.py
|
mario21ic/abstract-data-structures
|
2bf89db8cff4cf79c66d63eb84a96c33cda6cebd
|
[
"MIT"
] | null | null | null |
python/queue/test/__init__.py
|
mario21ic/abstract-data-structures
|
2bf89db8cff4cf79c66d63eb84a96c33cda6cebd
|
[
"MIT"
] | null | null | null |
from .queue import TestQueue
| 14.5
| 28
| 0.827586
| 4
| 29
| 6
| 1
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| 0
| 0
| 0
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| 29
| 1
| 29
| 29
| 0.96
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| 0
|
0
| 5
|
5950646a90e5da1c806b92ea4f610c1fb6403e41
| 146
|
py
|
Python
|
gluoncv/model_zoo/fpn/__init__.py
|
Angzz/gluon-cv-fpn
|
fc66b2c2fa97bc65e811aabe9d9d0cd16dc198ec
|
[
"Apache-2.0"
] | 10
|
2019-01-16T10:08:37.000Z
|
2022-02-23T06:13:30.000Z
|
gluoncv/model_zoo/fpn/__init__.py
|
Angzz/gluon-cv-fpn
|
fc66b2c2fa97bc65e811aabe9d9d0cd16dc198ec
|
[
"Apache-2.0"
] | 1
|
2019-01-18T06:42:59.000Z
|
2019-01-18T12:26:11.000Z
|
gluoncv/model_zoo/fpn/__init__.py
|
Angzz/gluon-cv-fpn
|
fc66b2c2fa97bc65e811aabe9d9d0cd16dc198ec
|
[
"Apache-2.0"
] | 1
|
2019-08-30T12:03:58.000Z
|
2019-08-30T12:03:58.000Z
|
# pylint: disable=wildcard-import
"""Feature Pyramid Networks for Object Detection."""
from __future__ import absolute_import
from .fpn import *
| 24.333333
| 52
| 0.787671
| 18
| 146
| 6.111111
| 0.777778
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| 146
| 5
| 53
| 29.2
| 0.859375
| 0.541096
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| 1
| 0
|
0
| 5
|
59513023e24543daebceff77b4dde77a52375a46
| 184
|
py
|
Python
|
example/efilling/apps.py
|
realnoobs/django-efilling
|
c105671d122d2f9b35320f12d9bb616f23ccd735
|
[
"MIT"
] | 1
|
2021-09-15T17:12:13.000Z
|
2021-09-15T17:12:13.000Z
|
example/efilling/apps.py
|
realnoobs/django-efilling
|
c105671d122d2f9b35320f12d9bb616f23ccd735
|
[
"MIT"
] | null | null | null |
example/efilling/apps.py
|
realnoobs/django-efilling
|
c105671d122d2f9b35320f12d9bb616f23ccd735
|
[
"MIT"
] | 1
|
2021-09-12T14:08:05.000Z
|
2021-09-12T14:08:05.000Z
|
from django.apps import AppConfig as BaseAppConfig
class AppConfig(BaseAppConfig):
name = "example.efilling"
label = "example_efilling"
verbose_name = "Example Efilling"
| 23
| 50
| 0.75
| 20
| 184
| 6.8
| 0.65
| 0.330882
| 0.279412
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| 184
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0
| 5
|
3cc449bfce0d1a7fc1ae281d24df391b5822c948
| 207
|
py
|
Python
|
gan/modern-art-gen/settings.py
|
m3ngineer/ds-cookbook
|
933b4518e296c777555f742c908438eb12ae760f
|
[
"MIT"
] | null | null | null |
gan/modern-art-gen/settings.py
|
m3ngineer/ds-cookbook
|
933b4518e296c777555f742c908438eb12ae760f
|
[
"MIT"
] | null | null | null |
gan/modern-art-gen/settings.py
|
m3ngineer/ds-cookbook
|
933b4518e296c777555f742c908438eb12ae760f
|
[
"MIT"
] | null | null | null |
import os
# Path to training dataset
ORIGINAL_IMAGES_PATH = os.environ.get('ORIGINAL_IMAGES_PATH')
# Path to store thumbnails of training dataset
RESIZED_IMAGES_PATH = os.environ.get('RESIZED_IMAGES_PATH')
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| 61
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| 31
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| 207
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| 0
|
0
| 5
|
3cdf85384e49fcc0bdcd42c654ae6e6cb6aa0d8b
| 129
|
py
|
Python
|
FaceSwap-master/pytorch_stylegan_encoder/InterFaceGAN/models/stylegan_tf_official/dnnlib/submission/run_context.py
|
CSID-DGU/-2020-1-OSSP1-ninetynine-2
|
b1824254882eeea0ee44e4e60896b72c51ef1d2c
|
[
"MIT"
] | 1
|
2020-06-21T13:45:26.000Z
|
2020-06-21T13:45:26.000Z
|
FaceSwap-master/pytorch_stylegan_encoder/InterFaceGAN/models/stylegan_tf_official/dnnlib/submission/run_context.py
|
CSID-DGU/-2020-1-OSSP1-ninetynine-2
|
b1824254882eeea0ee44e4e60896b72c51ef1d2c
|
[
"MIT"
] | null | null | null |
FaceSwap-master/pytorch_stylegan_encoder/InterFaceGAN/models/stylegan_tf_official/dnnlib/submission/run_context.py
|
CSID-DGU/-2020-1-OSSP1-ninetynine-2
|
b1824254882eeea0ee44e4e60896b72c51ef1d2c
|
[
"MIT"
] | 3
|
2020-09-02T03:18:45.000Z
|
2021-01-27T08:24:05.000Z
|
version https://git-lfs.github.com/spec/v1
oid sha256:826c78ae9230314c70bd91ec7d777a152cc4afbfe99a1da1c544153d819a2b84
size 4349
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| 129
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0
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|
3cfda4b519d16e9bba71990c255e8e086aed5b86
| 3,323
|
py
|
Python
|
tavern/testutils/comparators.py
|
rubyszu/tavern
|
47766d1474f5f2b951ca482c41c055d4c79a7b13
|
[
"MIT"
] | null | null | null |
tavern/testutils/comparators.py
|
rubyszu/tavern
|
47766d1474f5f2b951ca482c41c055d4c79a7b13
|
[
"MIT"
] | null | null | null |
tavern/testutils/comparators.py
|
rubyszu/tavern
|
47766d1474f5f2b951ca482c41c055d4c79a7b13
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
def dict_equal(src_data,dst_data):
assert type(src_data) == type(dst_data),"type: '{}' != '{}'".format(type(src_data), type(dst_data))
if isinstance(src_data,dict):
for key in src_data:
assert dst_data.has_key(key)
dict_equal(src_data[key],dst_data[key])
elif isinstance(src_data,list):
for src_list, dst_list in zip(sorted(src_data), sorted(dst_data)):
dict_equal(src_list, dst_list)
else:
assert src_data == dst_data,"value '{}' != '{}'".format(src_data, dst_data)
def list_equal(src_data, dst_data):
assert len(src_data) == len(dst_data)
if len(src_data) == len(dst_data):
for i in range(len(src_data)):
dict_equal(src_data[i], dst_data[i])
def equal(check_value, expect_value):
assert check_value == expect_value
def less_than(check_value, expect_value):
assert check_value < expect_value
def less_than_or_equals(check_value, expect_value):
assert check_value <= expect_value
def greater_than(check_value, expect_value):
assert check_value > expect_value
def greater_than_or_equals(check_value, expect_value):
assert check_value >= expect_value
def not_equals(check_value, expect_value):
assert check_value != expect_value
def string_equals(check_value, expect_value):
assert builtin_str(check_value) == builtin_str(expect_value)
def length_equals(check_value, expect_value):
assert isinstance(expect_value, integer_types)
assert len(check_value) == expect_value
def length_greater_than(check_value, expect_value):
assert isinstance(expect_value, integer_types)
assert len(check_value) > expect_value
def length_greater_than_or_equals(check_value, expect_value):
assert isinstance(expect_value, integer_types)
assert len(check_value) >= expect_value
def length_less_than(check_value, expect_value):
assert isinstance(expect_value, integer_types)
assert len(check_value) < expect_value
def length_less_than_or_equals(check_value, expect_value):
assert isinstance(expect_value, integer_types)
assert len(check_value) <= expect_value
def contains(check_value, expect_value):
assert isinstance(check_value, (list, tuple, dict, basestring))
assert expect_value in check_value
def contained_by(check_value, expect_value):
assert isinstance(expect_value, (list, tuple, dict, basestring))
assert check_value in expect_value
def type_match(check_value, expect_value):
def get_type(name):
if isinstance(name, type):
return name
elif isinstance(name, basestring):
try:
return __builtins__[name]
except KeyError:
raise ValueError(name)
else:
raise ValueError(name)
assert isinstance(check_value, get_type(expect_value))
def regex_match(check_value, expect_value):
assert isinstance(expect_value, basestring)
assert isinstance(check_value, basestring)
assert re.match(expect_value, check_value)
def startswith(check_value, expect_value):
assert builtin_str(check_value).startswith(builtin_str(expect_value))
def endswith(check_value, expect_value):
assert builtin_str(check_value).endswith(builtin_str(expect_value))
| 35.351064
| 103
| 0.719831
| 454
| 3,323
| 4.914097
| 0.132159
| 0.212013
| 0.207978
| 0.272972
| 0.66069
| 0.623935
| 0.51636
| 0.51636
| 0.47333
| 0.41013
| 0
| 0.000371
| 0.187782
| 3,323
| 94
| 104
| 35.351064
| 0.826232
| 0.00632
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| 1
| 0.295775
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| 0
|
0
| 5
|
a7394acf7227facb07b975690f92ba5aabcb481d
| 130
|
py
|
Python
|
examples/docker/emloop_example/dummy/__init__.py
|
iterait/shepherd
|
0847c9885584378dd68a48c40d03f9bb02b2b57c
|
[
"MIT"
] | 5
|
2018-10-13T19:03:07.000Z
|
2019-02-25T06:44:27.000Z
|
examples/docker/emloop_example/dummy/__init__.py
|
iterait/shepherd
|
0847c9885584378dd68a48c40d03f9bb02b2b57c
|
[
"MIT"
] | 62
|
2018-09-13T08:03:39.000Z
|
2022-01-03T09:05:54.000Z
|
examples/docker/emloop_example/dummy/__init__.py
|
iterait/shepherd
|
0847c9885584378dd68a48c40d03f9bb02b2b57c
|
[
"MIT"
] | null | null | null |
from .dummy_dataset import DummyDataset
from .dummy_model import DummyModel
from .post_process_dataset import PostProcessDataset
| 26
| 52
| 0.876923
| 16
| 130
| 6.875
| 0.625
| 0.163636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 130
| 4
| 53
| 32.5
| 0.940171
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| 1
| 0
| 1
| 0
|
0
| 5
|
595c88dc21f98daed29cce83946c50a8db669e6c
| 136
|
py
|
Python
|
django/app_whoami/urls.py
|
a-rey/aaronmreyes_heroku
|
f397741ec33a35c318b6e4d51837b352183085f9
|
[
"MIT"
] | 1
|
2022-03-12T22:23:44.000Z
|
2022-03-12T22:23:44.000Z
|
django/app_whoami/urls.py
|
a-rey/docker_website
|
f397741ec33a35c318b6e4d51837b352183085f9
|
[
"MIT"
] | 2
|
2020-04-07T22:09:50.000Z
|
2020-04-07T22:09:50.000Z
|
django/app_whoami/urls.py
|
a-rey/docker_website
|
f397741ec33a35c318b6e4d51837b352183085f9
|
[
"MIT"
] | null | null | null |
import django.conf.urls
import app_whoami.views
urlpatterns = [
django.conf.urls.url(r'^$', app_whoami.views.main, name='main'),
]
| 15.111111
| 66
| 0.713235
| 20
| 136
| 4.75
| 0.6
| 0.210526
| 0.294737
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 136
| 8
| 67
| 17
| 0.791667
| 0
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| 0
| 0
| 0
| 0.044118
| 0
| 0
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| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
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| null | 1
| 1
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| 1
| 0
| 0
| 0
|
0
| 5
|
59778ad8e3aac09bdb8cfae07283d5c76df2e611
| 415
|
py
|
Python
|
PruebaFinal/apps/encargado/models.py
|
Estuardiaz2611/PruebaFinalC
|
3bec3f5f9c158744827e633c01d6a106125f56f3
|
[
"MIT"
] | 1
|
2020-05-28T19:40:40.000Z
|
2020-05-28T19:40:40.000Z
|
PruebaFinal/apps/encargado/models.py
|
Estuardiaz2611/PruebaFinalC
|
3bec3f5f9c158744827e633c01d6a106125f56f3
|
[
"MIT"
] | null | null | null |
PruebaFinal/apps/encargado/models.py
|
Estuardiaz2611/PruebaFinalC
|
3bec3f5f9c158744827e633c01d6a106125f56f3
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class Encargado(models.Model):
nombre_encargado = models.CharField(max_length=50)
apellido_encargado = models.CharField(max_length=50)
genero = models.CharField(max_length=10)
nombre_usuario = models.CharField(max_length=20)
fecha_nacimiento = models.DateField()
def __str__(self):
return '{}'.format(self.nombre_encargado)
| 29.642857
| 56
| 0.742169
| 52
| 415
| 5.673077
| 0.557692
| 0.20339
| 0.244068
| 0.325424
| 0.237288
| 0.237288
| 0
| 0
| 0
| 0
| 0
| 0.022857
| 0.156627
| 415
| 13
| 57
| 31.923077
| 0.82
| 0.057831
| 0
| 0
| 0
| 0
| 0.005141
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0.111111
| 0.111111
| 1
| 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
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
59797193d4d89e3913f0f6cd9235aa982ca818a3
| 87
|
py
|
Python
|
models/__init__.py
|
sanjaybasu/claimsrisk
|
13fcb365232a3c6ef643dc583e872a8b8852bf37
|
[
"MIT"
] | 1
|
2021-06-14T20:11:03.000Z
|
2021-06-14T20:11:03.000Z
|
models/__init__.py
|
sanjaybasu/claimsrisk
|
13fcb365232a3c6ef643dc583e872a8b8852bf37
|
[
"MIT"
] | null | null | null |
models/__init__.py
|
sanjaybasu/claimsrisk
|
13fcb365232a3c6ef643dc583e872a8b8852bf37
|
[
"MIT"
] | 1
|
2020-01-31T19:54:52.000Z
|
2020-01-31T19:54:52.000Z
|
from .LinReg import LinReg
from .XGBoost import XGBoost
from .LightGBM import LightGBM
| 21.75
| 30
| 0.827586
| 12
| 87
| 6
| 0.416667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137931
| 87
| 3
| 31
| 29
| 0.96
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
597eb3779d9694f14a5de3ad55ff8c6e40342374
| 101
|
py
|
Python
|
src/__init__.py
|
lauryndbrown/AdvancedLaneFinding
|
644633623d01db2d267c9090d55853633f09e050
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
lauryndbrown/AdvancedLaneFinding
|
644633623d01db2d267c9090d55853633f09e050
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
lauryndbrown/AdvancedLaneFinding
|
644633623d01db2d267c9090d55853633f09e050
|
[
"MIT"
] | null | null | null |
#from __future__ import absolute_import
import os
os.path.dirname(os.path.abspath(''))
print(os.path)
| 25.25
| 39
| 0.792079
| 16
| 101
| 4.6875
| 0.5625
| 0.24
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.069307
| 101
| 4
| 40
| 25.25
| 0.797872
| 0.376238
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 1
| 0
| 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
| 0
| 0
|
0
| 5
|
5994ac58aa4b297c98a2234d119d32ff078f86ef
| 170
|
py
|
Python
|
Begining/admin.py
|
Waleed-Daud/Alzitoona
|
0f8cd859dfab722050e56dc3001cd5a6c1440c97
|
[
"Apache-2.0"
] | null | null | null |
Begining/admin.py
|
Waleed-Daud/Alzitoona
|
0f8cd859dfab722050e56dc3001cd5a6c1440c97
|
[
"Apache-2.0"
] | null | null | null |
Begining/admin.py
|
Waleed-Daud/Alzitoona
|
0f8cd859dfab722050e56dc3001cd5a6c1440c97
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
# Register your models here.
from Begining.models import Student,Professor
admin.site.register(Student)
admin.site.register(Professor)
| 21.25
| 45
| 0.823529
| 23
| 170
| 6.086957
| 0.565217
| 0.128571
| 0.242857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 170
| 7
| 46
| 24.285714
| 0.915033
| 0.152941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
| 0
|
0
| 5
|
59a2b9baf24f3530e907183c528c273725d11e26
| 152
|
py
|
Python
|
src/category/apps.py
|
NestorMonroy/GreatKart
|
c417faed7e1ec430fd676b58f618cb66e7c07785
|
[
"MIT"
] | null | null | null |
src/category/apps.py
|
NestorMonroy/GreatKart
|
c417faed7e1ec430fd676b58f618cb66e7c07785
|
[
"MIT"
] | null | null | null |
src/category/apps.py
|
NestorMonroy/GreatKart
|
c417faed7e1ec430fd676b58f618cb66e7c07785
|
[
"MIT"
] | null | null | null |
""" Category app """
from django.apps import AppConfig
class CategoryAppConfig(AppConfig):
""" Category app config """
name = 'src.category'
| 16.888889
| 35
| 0.677632
| 16
| 152
| 6.4375
| 0.75
| 0.213592
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190789
| 152
| 8
| 36
| 19
| 0.837398
| 0.217105
| 0
| 0
| 0
| 0
| 0.114286
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
59bb0ddb8d7ada50d005208b1d40d0f9b202d0a0
| 23
|
py
|
Python
|
Chapter 01/Chap01_Example1.174.py
|
Anancha/Programming-Techniques-using-Python
|
e80c329d2a27383909d358741a5cab03cb22fd8b
|
[
"MIT"
] | null | null | null |
Chapter 01/Chap01_Example1.174.py
|
Anancha/Programming-Techniques-using-Python
|
e80c329d2a27383909d358741a5cab03cb22fd8b
|
[
"MIT"
] | null | null | null |
Chapter 01/Chap01_Example1.174.py
|
Anancha/Programming-Techniques-using-Python
|
e80c329d2a27383909d358741a5cab03cb22fd8b
|
[
"MIT"
] | null | null | null |
print(complex('Seven'))
| 23
| 23
| 0.73913
| 3
| 23
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 23
| 1
| 23
| 23
| 0.73913
| 0
| 0
| 0
| 0
| 0
| 0.208333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 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
| 0
| 0
| 0
| 1
|
0
| 5
|
59d0aa590b5e8abd13aa5652b58b2992b4a91f7f
| 148
|
py
|
Python
|
BasicExerciseAndKnowledge/w3cschool/n40_reverse_a_list.py
|
Jonathan1214/learn-python
|
19d0299b30e953069f19402bff5c464c4d5580be
|
[
"MIT"
] | null | null | null |
BasicExerciseAndKnowledge/w3cschool/n40_reverse_a_list.py
|
Jonathan1214/learn-python
|
19d0299b30e953069f19402bff5c464c4d5580be
|
[
"MIT"
] | null | null | null |
BasicExerciseAndKnowledge/w3cschool/n40_reverse_a_list.py
|
Jonathan1214/learn-python
|
19d0299b30e953069f19402bff5c464c4d5580be
|
[
"MIT"
] | null | null | null |
#coding:utf-8
# 题目：将一个数组逆序输出。
lt = [12, 34, 45, 43]
def print_in_reverse(lt):
for item in lt[::-1]:
print item,
print_in_reverse(lt)
| 13.454545
| 25
| 0.614865
| 26
| 148
| 3.346154
| 0.653846
| 0.16092
| 0.321839
| 0.367816
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 0.222973
| 148
| 10
| 26
| 14.8
| 0.669565
| 0.175676
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.6
| 1
| 0
| 0
| null | 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
ab73c6336a48fb0e20223352874a6f2440af6957
| 166
|
py
|
Python
|
retinanet/dataloader/__init__.py
|
lchen-wyze/retinanet-tensorflow2.x
|
86404a2da6ec636d4b1aef768ac52f018c127798
|
[
"Apache-2.0"
] | 36
|
2020-09-23T13:32:47.000Z
|
2022-03-29T18:53:58.000Z
|
retinanet/dataloader/__init__.py
|
lchen-wyze/retinanet-tensorflow2.x
|
86404a2da6ec636d4b1aef768ac52f018c127798
|
[
"Apache-2.0"
] | 12
|
2020-10-25T09:07:58.000Z
|
2021-11-17T12:53:50.000Z
|
retinanet/dataloader/__init__.py
|
lchen-wyze/retinanet-tensorflow2.x
|
86404a2da6ec636d4b1aef768ac52f018c127798
|
[
"Apache-2.0"
] | 9
|
2020-11-12T20:03:06.000Z
|
2022-01-03T12:40:48.000Z
|
from retinanet.dataloader.input_pipeline import InputPipeline
from retinanet.dataloader.utils import normalize_image
__all__ = ['InputPipeline', 'normalize_image']
| 27.666667
| 61
| 0.843373
| 18
| 166
| 7.388889
| 0.611111
| 0.195489
| 0.345865
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084337
| 166
| 5
| 62
| 33.2
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0.168675
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
|
0
| 5
|
ab7e979e821166a0728af2dfbd80eb7cfe49b239
| 2,258
|
py
|
Python
|
tests/test_MessengerHookAttachments.py
|
iizs/PyDooray
|
ec42d8814fbe6936469f8f25c9cd1e7222fab23e
|
[
"MIT"
] | 17
|
2021-12-05T23:36:01.000Z
|
2022-01-08T04:41:52.000Z
|
tests/test_MessengerHookAttachments.py
|
iizs/PyDooray
|
ec42d8814fbe6936469f8f25c9cd1e7222fab23e
|
[
"MIT"
] | null | null | null |
tests/test_MessengerHookAttachments.py
|
iizs/PyDooray
|
ec42d8814fbe6936469f8f25c9cd1e7222fab23e
|
[
"MIT"
] | null | null | null |
import unittest
import dooray
class TestMessengerHookAttachments(unittest.TestCase):
def testCreateAttachment(self):
self.assertEqual(dooray.MessengerHookAttachments._create_attachment(None, None, None, None), None)
self.assertEqual(
dooray.MessengerHookAttachments._create_attachment('My title', None, None, None),
{'title': 'My title'}
)
self.assertEqual(
dooray.MessengerHookAttachments._create_attachment('My title', 'http://a.com', None, None),
{'title': 'My title', 'titleLink': 'http://a.com'}
)
self.assertEqual(
dooray.MessengerHookAttachments._create_attachment('My title', 'http://a.com', 'My text', None),
{'title': 'My title', 'titleLink': 'http://a.com', 'text': 'My text'}
)
self.assertEqual(
dooray.MessengerHookAttachments._create_attachment('My title', 'http://a.com', 'My text', 'red'),
{'title': 'My title', 'titleLink': 'http://a.com', 'text': 'My text', 'color': 'red'}
)
self.assertEqual(
dooray.MessengerHookAttachments._create_attachment('My title', None, 'My text', 'red'),
{'title': 'My title', 'text': 'My text', 'color': 'red'}
)
self.assertEqual(
dooray.MessengerHookAttachments._create_attachment('My title', 'http://a.com', None, 'red'),
{'title': 'My title', 'titleLink': 'http://a.com', 'color': 'red'}
)
self.assertEqual(
dooray.MessengerHookAttachments._create_attachment(None, 'http://a.com', 'My text', 'red'),
{'titleLink': 'http://a.com', 'text': 'My text', 'color': 'red'}
)
def testBuilder(self):
self.assertEqual(
dooray.MessengerHookAttachments.builder()
.add_attachment(title='My title')
.create(),
[{'title': 'My title'}]
)
self.assertEqual(
dooray.MessengerHookAttachments.builder()
.add_attachment(title='My title')
.add_attachment(title_link='http://b.com', text='My text')
.create(),
[{'title': 'My title'}, {'titleLink': 'http://b.com', 'text': 'My text'}]
)
| 43.423077
| 109
| 0.570416
| 218
| 2,258
| 5.816514
| 0.12844
| 0.088328
| 0.165615
| 0.35489
| 0.87224
| 0.84306
| 0.7847
| 0.711356
| 0.600158
| 0.512618
| 0
| 0
| 0.26085
| 2,258
| 51
| 110
| 44.27451
| 0.759736
| 0
| 0
| 0.319149
| 0
| 0
| 0.221435
| 0
| 0
| 0
| 0
| 0
| 0.212766
| 1
| 0.042553
| false
| 0
| 0.042553
| 0
| 0.106383
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 0
| 0
| 0
| 0
|
0
| 5
|
abaff3c431ad4030441ad4e634e3de19421837d5
| 112
|
py
|
Python
|
molecule_ignite/test/conftest.py
|
ragingpastry/molecule-ignite
|
aaf005cabba9a8c933191458cf8553da9bac581d
|
[
"MIT"
] | 17
|
2020-02-19T08:16:49.000Z
|
2022-02-05T08:16:42.000Z
|
molecule_ignite/test/conftest.py
|
ragingpastry/molecule-ignite
|
aaf005cabba9a8c933191458cf8553da9bac581d
|
[
"MIT"
] | 13
|
2020-02-18T15:32:06.000Z
|
2022-03-31T10:58:34.000Z
|
molecule_ignite/test/conftest.py
|
ragingpastry/molecule-ignite
|
aaf005cabba9a8c933191458cf8553da9bac581d
|
[
"MIT"
] | 11
|
2020-02-18T16:24:29.000Z
|
2022-03-28T11:44:51.000Z
|
"""Pytest Fixtures."""
import pytest # noqa
from molecule.test.conftest import random_string, temp_dir # noqa
| 28
| 66
| 0.758929
| 15
| 112
| 5.533333
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133929
| 112
| 3
| 67
| 37.333333
| 0.85567
| 0.241071
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 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
| 5
|
abe1d93fbf63dc5adb730da8c93bcefc1e3efb5e
| 105
|
py
|
Python
|
fusion/scheduling/batch_size.py
|
SheaCai/optimus
|
e9a9a2354376c786d7e6c64e34dee2c2010e5585
|
[
"MIT"
] | 3
|
2021-05-05T06:55:38.000Z
|
2022-02-19T06:19:59.000Z
|
fusion/scheduling/batch_size.py
|
SheaCai/optimus
|
e9a9a2354376c786d7e6c64e34dee2c2010e5585
|
[
"MIT"
] | null | null | null |
fusion/scheduling/batch_size.py
|
SheaCai/optimus
|
e9a9a2354376c786d7e6c64e34dee2c2010e5585
|
[
"MIT"
] | null | null | null |
def init(bs):
global batch_size
batch_size = bs
def get_batch_size():
return batch_size
| 9.545455
| 21
| 0.666667
| 16
| 105
| 4.0625
| 0.5
| 0.553846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.266667
| 105
| 10
| 22
| 10.5
| 0.844156
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.2
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
e6110dc25d5258c7631b8bea33a6beb104cc6f69
| 790
|
py
|
Python
|
Taller Estructuras de Control Selectivas/punto10.py
|
Diegof2612/Algoritmos-y-Programaci-n-Talleres
|
2aa645adac5d4de1037b60138e7b3a09807b3f13
|
[
"MIT"
] | null | null | null |
Taller Estructuras de Control Selectivas/punto10.py
|
Diegof2612/Algoritmos-y-Programaci-n-Talleres
|
2aa645adac5d4de1037b60138e7b3a09807b3f13
|
[
"MIT"
] | null | null | null |
Taller Estructuras de Control Selectivas/punto10.py
|
Diegof2612/Algoritmos-y-Programaci-n-Talleres
|
2aa645adac5d4de1037b60138e7b3a09807b3f13
|
[
"MIT"
] | 1
|
2021-08-04T16:40:29.000Z
|
2021-08-04T16:40:29.000Z
|
"""
ENTRADAS
salario_bruto-->float-->salario_bruto
SALIDAS
sueldo_neto-->float-->salario_neto
"""
salario_bruto=float(input("Digite el salario bruto ")
sueldo_neto=0.0#float
if(salario_bruto>=5_000_000):
salario_neto=salario_bruto*0.10+salario_bruto
print("El salario neto es: ",salario_neto)
elif(salario_bruto>=4_300_000):
salario_neto=salario_bruto*0.15+salario_bruto
print("El salario neto es ",salario_neto)
elif(salario_bruto>=3_600_000):
salario_neto=salario_bruto*0.20+salario_bruto
print("El salario neto es ",salario_neto)
elif(salario_bruto>=2_000_000):
salario_neto=salario_bruto*0.40+salario_bruto
print("El salario neto es ",salario_neto)
elif(salario_bruto>=900_000):
salario_neto=salario_bruto*0.60+salario_bruto
print("El salario neto es ",salario_neto)
| 34.347826
| 53
| 0.792405
| 129
| 790
| 4.542636
| 0.217054
| 0.389079
| 0.1843
| 0.235495
| 0.716724
| 0.716724
| 0.578498
| 0.476109
| 0.476109
| 0.40273
| 0
| 0.070442
| 0.083544
| 790
| 23
| 54
| 34.347826
| 0.73895
| 0
| 0
| 0.235294
| 0
| 0
| 0.174419
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.294118
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 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
| 5
|
e665496d739cfabf457f8edcdeaf68e80f3f0c5f
| 73
|
py
|
Python
|
src/constellix/protocol/__init__.py
|
aperim/python-constellix
|
11cb19fce5cc00aefd14f8ac6bf63dc2f98731ae
|
[
"CC0-1.0"
] | null | null | null |
src/constellix/protocol/__init__.py
|
aperim/python-constellix
|
11cb19fce5cc00aefd14f8ac6bf63dc2f98731ae
|
[
"CC0-1.0"
] | null | null | null |
src/constellix/protocol/__init__.py
|
aperim/python-constellix
|
11cb19fce5cc00aefd14f8ac6bf63dc2f98731ae
|
[
"CC0-1.0"
] | null | null | null |
"""Protocol Support for Constellix API"""
from .protocol import Protocol
| 24.333333
| 41
| 0.780822
| 9
| 73
| 6.333333
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123288
| 73
| 3
| 42
| 24.333333
| 0.890625
| 0.479452
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 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
| 5
|
054a24e69f73d6f042e41e5b4f45fe80f621042a
| 219
|
py
|
Python
|
scrape/src/__main__.py
|
kagemeka/akibasouken-python
|
0805404b0c2b3acefa45a28610a85cacc7771450
|
[
"MIT"
] | null | null | null |
scrape/src/__main__.py
|
kagemeka/akibasouken-python
|
0805404b0c2b3acefa45a28610a85cacc7771450
|
[
"MIT"
] | null | null | null |
scrape/src/__main__.py
|
kagemeka/akibasouken-python
|
0805404b0c2b3acefa45a28610a85cacc7771450
|
[
"MIT"
] | null | null | null |
import typing
from lib.adam import update_current_animes
def main():
update_current_animes()
def lambda_handler(event, context) -> typing.NoReturn:
update_current_animes()
if __name__ == '__main__':
main()
| 13.6875
| 54
| 0.748858
| 28
| 219
| 5.321429
| 0.607143
| 0.261745
| 0.38255
| 0.295302
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150685
| 219
| 16
| 55
| 13.6875
| 0.801075
| 0
| 0
| 0.25
| 0
| 0
| 0.036364
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.5
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
055b80ba6fa663a5c08682d83086afe31145a153
| 98
|
py
|
Python
|
python/basics/random-number.py
|
u1i/snippets
|
cc61b5ecaede1d1013df51c7b1b6ab10d927f95c
|
[
"MIT"
] | 1
|
2018-06-24T15:40:40.000Z
|
2018-06-24T15:40:40.000Z
|
python/basics/random-number.py
|
u1i/snippets
|
cc61b5ecaede1d1013df51c7b1b6ab10d927f95c
|
[
"MIT"
] | null | null | null |
python/basics/random-number.py
|
u1i/snippets
|
cc61b5ecaede1d1013df51c7b1b6ab10d927f95c
|
[
"MIT"
] | null | null | null |
from random import randint
# print random number between 0 and 9 (inclusive)
print(randint(0,9))
| 19.6
| 49
| 0.765306
| 16
| 98
| 4.6875
| 0.6875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.048193
| 0.153061
| 98
| 4
| 50
| 24.5
| 0.855422
| 0.479592
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 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
| 0
| 1
|
0
| 5
|
552c58b9afcecafbc55cf66bf03ae6389c79263a
| 262
|
py
|
Python
|
stud_api/student/models.py
|
Neeraj2701/numpy
|
bbc3167427eb8ecafeee3c5c9606b3532405dd96
|
[
"BSD-3-Clause"
] | null | null | null |
stud_api/student/models.py
|
Neeraj2701/numpy
|
bbc3167427eb8ecafeee3c5c9606b3532405dd96
|
[
"BSD-3-Clause"
] | null | null | null |
stud_api/student/models.py
|
Neeraj2701/numpy
|
bbc3167427eb8ecafeee3c5c9606b3532405dd96
|
[
"BSD-3-Clause"
] | null | null | null |
from django.db import models
class Stud(models.Model):
Stud_ID=models.CharField(max_length=10)
Stud_Name=models.CharField(max_length=20)
Department=models.CharField(max_length=15)
Marks=models.IntegerField()
def __str__(self):
return self.Stud_Name
| 18.714286
| 43
| 0.790076
| 39
| 262
| 5.051282
| 0.589744
| 0.228426
| 0.274112
| 0.365482
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025532
| 0.103053
| 262
| 13
| 44
| 20.153846
| 0.812766
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.125
| 0.125
| 1
| 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
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
554874a08b9af6eb97c17e6ce0b9feffc93efbd0
| 472
|
py
|
Python
|
pyrealtime/__init__.py
|
ewhitmire/pyrealtime
|
5cfd37ff7b05cf33d2aab9b9f45188ddf7c76db4
|
[
"MIT"
] | 62
|
2017-07-27T18:09:14.000Z
|
2021-07-19T00:09:40.000Z
|
pyrealtime/__init__.py
|
ewhitmire/pyrealtime
|
5cfd37ff7b05cf33d2aab9b9f45188ddf7c76db4
|
[
"MIT"
] | 24
|
2017-06-24T03:26:45.000Z
|
2020-11-11T15:24:29.000Z
|
pyrealtime/__init__.py
|
ewhitmire/pyrealtime
|
5cfd37ff7b05cf33d2aab9b9f45188ddf7c76db4
|
[
"MIT"
] | 15
|
2017-07-02T23:22:25.000Z
|
2020-10-28T15:23:58.000Z
|
# from .audio_layers import *
from .decode_layer import *
from .input_layers import *
from .layer import *
from .layer_manager import *
from .network_layers import *
from .pygame import *
from .record_layer import *
from .script_layers import *
from .serial_layer import *
from .utility_layers import *
from .utils import *
from .plotting import *
from .subprocess import *
from .filter_layers import *
from .decorators import *
from .buffers import *
from .nidaq import *
| 26.222222
| 29
| 0.769068
| 64
| 472
| 5.515625
| 0.328125
| 0.481586
| 0.271955
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152542
| 472
| 18
| 30
| 26.222222
| 0.8825
| 0.057203
| 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
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5556eed02044751bc94ee833a2c89fa805f8a02d
| 42
|
py
|
Python
|
algo/__init__.py
|
softarts/tradebook
|
bdce9206e94147e93c547edb2d1d2aebd17f2f9c
|
[
"Apache-2.0"
] | null | null | null |
algo/__init__.py
|
softarts/tradebook
|
bdce9206e94147e93c547edb2d1d2aebd17f2f9c
|
[
"Apache-2.0"
] | null | null | null |
algo/__init__.py
|
softarts/tradebook
|
bdce9206e94147e93c547edb2d1d2aebd17f2f9c
|
[
"Apache-2.0"
] | null | null | null |
#from . import period_perf as period_perf2
| 42
| 42
| 0.833333
| 7
| 42
| 4.714286
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027027
| 0.119048
| 42
| 1
| 42
| 42
| 0.864865
| 0.97619
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
556645ed45c0298764132b4eeb8302441534b013
| 90
|
py
|
Python
|
src/error.py
|
kbinani/dxrip
|
ef170fd895c6d9bb6c05bc2026e9fa9bcd0b1908
|
[
"MIT"
] | 4
|
2015-09-23T14:12:07.000Z
|
2021-10-04T21:03:32.000Z
|
src/error.py
|
kbinani/dxrip
|
ef170fd895c6d9bb6c05bc2026e9fa9bcd0b1908
|
[
"MIT"
] | null | null | null |
src/error.py
|
kbinani/dxrip
|
ef170fd895c6d9bb6c05bc2026e9fa9bcd0b1908
|
[
"MIT"
] | 2
|
2018-06-26T14:59:11.000Z
|
2021-09-01T01:50:20.000Z
|
class Error(Exception):
def __init__(self, messages):
self.messages = messages
| 30
| 33
| 0.688889
| 10
| 90
| 5.8
| 0.7
| 0.413793
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.211111
| 90
| 3
| 34
| 30
| 0.816901
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
5573c6a5d7f8d7e9760db721b7348f9dbb10e14a
| 166
|
py
|
Python
|
util/generic/benchmark/fastclp2/metrics/main.py
|
jochenater/catboost
|
de2786fbc633b0d6ea6a23b3862496c6151b95c2
|
[
"Apache-2.0"
] | 6,989
|
2017-07-18T06:23:18.000Z
|
2022-03-31T15:58:36.000Z
|
util/generic/benchmark/fastclp2/metrics/main.py
|
jochenater/catboost
|
de2786fbc633b0d6ea6a23b3862496c6151b95c2
|
[
"Apache-2.0"
] | 1,978
|
2017-07-18T09:17:58.000Z
|
2022-03-31T14:28:43.000Z
|
util/generic/benchmark/fastclp2/metrics/main.py
|
jochenater/catboost
|
de2786fbc633b0d6ea6a23b3862496c6151b95c2
|
[
"Apache-2.0"
] | 1,228
|
2017-07-18T09:03:13.000Z
|
2022-03-29T05:57:40.000Z
|
import yatest.common as yc
def test_export_metrics(metrics):
metrics.set_benchmark(yc.execute_benchmark('util/generic/benchmark/fastclp2/fastclp2', threads=8))
| 27.666667
| 102
| 0.807229
| 23
| 166
| 5.652174
| 0.73913
| 0.215385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019737
| 0.084337
| 166
| 5
| 103
| 33.2
| 0.835526
| 0
| 0
| 0
| 0
| 0
| 0.240964
| 0.240964
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
557f8392992c5efaf65b97edc31fb7606c3623a1
| 227
|
py
|
Python
|
src/ctc/evm/block_utils/__init__.py
|
fei-protocol/checkthechain
|
ec838f3d0d44af228f45394d9ba8d8eb7f677520
|
[
"MIT"
] | 94
|
2022-02-15T19:34:49.000Z
|
2022-03-26T19:26:22.000Z
|
src/ctc/evm/block_utils/__init__.py
|
fei-protocol/checkthechain
|
ec838f3d0d44af228f45394d9ba8d8eb7f677520
|
[
"MIT"
] | 7
|
2022-03-03T02:58:47.000Z
|
2022-03-11T18:41:05.000Z
|
src/ctc/evm/block_utils/__init__.py
|
fei-protocol/checkthechain
|
ec838f3d0d44af228f45394d9ba8d8eb7f677520
|
[
"MIT"
] | 7
|
2022-02-15T17:53:07.000Z
|
2022-03-17T19:14:17.000Z
|
from .block_analysis import *
from .block_chunks import *
from .block_creations import *
from .block_crud import *
from .block_gas import *
from .block_normalize import *
from .block_summary import *
from .block_times import *
| 25.222222
| 30
| 0.788546
| 32
| 227
| 5.34375
| 0.34375
| 0.421053
| 0.614035
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140969
| 227
| 8
| 31
| 28.375
| 0.876923
| 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
| 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
| 0
| 0
|
0
| 5
|
e96500ca8ce853595ee1940c1977e338dd6e6ae3
| 35,927
|
py
|
Python
|
dpctl/tensor/_ctors.py
|
IntelPython/pydppl
|
e032bc35459b818eae6b0009d13335aa512d3aac
|
[
"Apache-2.0"
] | 5
|
2020-07-15T13:29:18.000Z
|
2020-09-15T15:39:30.000Z
|
dpctl/tensor/_ctors.py
|
IntelPython/pydppl
|
e032bc35459b818eae6b0009d13335aa512d3aac
|
[
"Apache-2.0"
] | 39
|
2020-07-31T17:27:14.000Z
|
2020-09-22T18:56:42.000Z
|
dpctl/tensor/_ctors.py
|
IntelPython/pydppl
|
e032bc35459b818eae6b0009d13335aa512d3aac
|
[
"Apache-2.0"
] | 4
|
2020-08-05T17:43:48.000Z
|
2020-09-14T19:53:12.000Z
|
# Data Parallel Control (dpctl)
#
# Copyright 2020-2021 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.
import numpy as np
import dpctl
import dpctl.memory as dpm
import dpctl.tensor as dpt
import dpctl.tensor._tensor_impl as ti
import dpctl.utils
from dpctl.tensor._device import normalize_queue_device
_empty_tuple = tuple()
_host_set = frozenset([None])
def _get_dtype(dtype, sycl_obj, ref_type=None):
if dtype is None:
if ref_type in [None, float] or np.issubdtype(ref_type, np.floating):
dtype = ti.default_device_fp_type(sycl_obj)
return np.dtype(dtype)
elif ref_type in [bool, np.bool_]:
dtype = ti.default_device_bool_type(sycl_obj)
return np.dtype(dtype)
elif ref_type is int or np.issubdtype(ref_type, np.integer):
dtype = ti.default_device_int_type(sycl_obj)
return np.dtype(dtype)
elif ref_type is complex or np.issubdtype(ref_type, np.complexfloating):
dtype = ti.default_device_complex_type(sycl_obj)
return np.dtype(dtype)
else:
raise ValueError(f"Reference type {ref_type} not recognized.")
else:
return np.dtype(dtype)
def _array_info_dispatch(obj):
if isinstance(obj, dpt.usm_ndarray):
return obj.shape, obj.dtype, frozenset([obj.sycl_queue])
elif isinstance(obj, np.ndarray):
return obj.shape, obj.dtype, _host_set
elif isinstance(obj, range):
return (len(obj),), int, _host_set
elif isinstance(obj, bool):
return _empty_tuple, bool, _host_set
elif isinstance(obj, float):
return _empty_tuple, float, _host_set
elif isinstance(obj, int):
return _empty_tuple, int, _host_set
elif isinstance(obj, complex):
return _empty_tuple, complex, _host_set
elif isinstance(obj, (list, tuple, range)):
return _array_info_sequence(obj)
elif any(
isinstance(obj, s)
for s in [np.integer, np.floating, np.complexfloating, np.bool_]
):
return _empty_tuple, obj.dtype, _host_set
else:
raise ValueError(type(obj))
def _array_info_sequence(li):
assert isinstance(li, (list, tuple, range))
n = len(li)
dim = None
dt = None
device = frozenset()
for el in li:
el_dim, el_dt, el_dev = _array_info_dispatch(el)
if dim is None:
dim = el_dim
dt = np.promote_types(el_dt, el_dt)
device = device.union(el_dev)
elif el_dim == dim:
dt = np.promote_types(dt, el_dt)
device = device.union(el_dev)
else:
raise ValueError(
"Inconsistent dimensions, {} and {}".format(dim, el_dim)
)
if dim is None:
dim = tuple()
dt = float
device = _host_set
return (n,) + dim, dt, device
def _asarray_from_usm_ndarray(
usm_ndary,
dtype=None,
copy=None,
usm_type=None,
sycl_queue=None,
order="K",
):
if not isinstance(usm_ndary, dpt.usm_ndarray):
raise TypeError(
f"Expected dpctl.tensor.usm_ndarray, got {type(usm_ndary)}"
)
if dtype is None:
dtype = usm_ndary.dtype
if usm_type is None:
usm_type = usm_ndary.usm_type
if sycl_queue is not None:
exec_q = dpctl.utils.get_execution_queue(
[usm_ndary.sycl_queue, sycl_queue]
)
copy_q = normalize_queue_device(sycl_queue=sycl_queue, device=exec_q)
else:
copy_q = usm_ndary.sycl_queue
# Conditions for zero copy:
can_zero_copy = copy is not True
# dtype is unchanged
can_zero_copy = can_zero_copy and dtype == usm_ndary.dtype
# USM allocation type is unchanged
can_zero_copy = can_zero_copy and usm_type == usm_ndary.usm_type
# sycl_queue is unchanged
can_zero_copy = can_zero_copy and copy_q is usm_ndary.sycl_queue
# order is unchanged
c_contig = usm_ndary.flags & 1
f_contig = usm_ndary.flags & 2
fc_contig = usm_ndary.flags & 3
if can_zero_copy:
if order == "C" and c_contig:
pass
elif order == "F" and f_contig:
pass
elif order == "A" and fc_contig:
pass
elif order == "K":
pass
else:
can_zero_copy = False
if copy is False and can_zero_copy is False:
raise ValueError("asarray(..., copy=False) is not possible")
if can_zero_copy:
return usm_ndary
if order == "A":
order = "F" if f_contig and not c_contig else "C"
if order == "K" and fc_contig:
order = "C" if c_contig else "F"
if order == "K":
# new USM allocation
res = dpt.usm_ndarray(
usm_ndary.shape,
dtype=dtype,
buffer=usm_type,
order="C",
buffer_ctor_kwargs={"queue": copy_q},
)
original_strides = usm_ndary.strides
ind = sorted(
range(usm_ndary.ndim),
key=lambda i: abs(original_strides[i]),
reverse=True,
)
new_strides = tuple(res.strides[ind[i]] for i in ind)
# reuse previously made USM allocation
res = dpt.usm_ndarray(
usm_ndary.shape,
dtype=res.dtype,
buffer=res.usm_data,
strides=new_strides,
)
else:
res = dpt.usm_ndarray(
usm_ndary.shape,
dtype=dtype,
buffer=usm_type,
order=order,
buffer_ctor_kwargs={"queue": copy_q},
)
# FIXME: call copy_to when implemented
res[(slice(None, None, None),) * res.ndim] = usm_ndary
return res
def _asarray_from_numpy_ndarray(
ary, dtype=None, usm_type=None, sycl_queue=None, order="K"
):
if not isinstance(ary, np.ndarray):
raise TypeError(f"Expected numpy.ndarray, got {type(ary)}")
if usm_type is None:
usm_type = "device"
if dtype is None:
dtype = ary.dtype
copy_q = normalize_queue_device(sycl_queue=None, device=sycl_queue)
f_contig = ary.flags["F"]
c_contig = ary.flags["C"]
fc_contig = f_contig or c_contig
if order == "A":
order = "F" if f_contig and not c_contig else "C"
if order == "K" and fc_contig:
order = "C" if c_contig else "F"
if order == "K":
# new USM allocation
res = dpt.usm_ndarray(
ary.shape,
dtype=dtype,
buffer=usm_type,
order="C",
buffer_ctor_kwargs={"queue": copy_q},
)
original_strides = ary.strides
ind = sorted(
range(ary.ndim),
key=lambda i: abs(original_strides[i]),
reverse=True,
)
new_strides = tuple(res.strides[ind[i]] for i in ind)
# reuse previously made USM allocation
res = dpt.usm_ndarray(
res.shape, dtype=res.dtype, buffer=res.usm_data, strides=new_strides
)
else:
res = dpt.usm_ndarray(
ary.shape,
dtype=dtype,
buffer=usm_type,
order=order,
buffer_ctor_kwargs={"queue": copy_q},
)
# FIXME: call copy_to when implemented
res[(slice(None, None, None),) * res.ndim] = ary
return res
def _is_object_with_buffer_protocol(obj):
"Returns True if object support Python buffer protocol"
try:
# use context manager to ensure
# buffer is instantly released
with memoryview(obj):
return True
except TypeError:
return False
def asarray(
obj,
dtype=None,
device=None,
copy=None,
usm_type=None,
sycl_queue=None,
order="K",
):
"""
Converts `obj` to :class:`dpctl.tensor.usm_ndarray`.
Args:
obj: Python object to convert. Can be an instance of `usm_ndarray`,
an object representing SYCL USM allocation and implementing
`__sycl_usm_array_interface__` protocol, an instance
of `numpy.ndarray`, an object supporting Python buffer protocol,
a Python scalar, or a (possibly nested) sequence of Python scalars.
dtype (data type, optional): output array data type. If `dtype` is
`None`, the output array data type is inferred from data types in
`obj`. Default: `None`
copy (`bool`, optional): boolean indicating whether or not to copy the
input. If `True`, always creates a copy. If `False`, need to copy
raises `ValueError`. If `None`, try to reuse existing memory
allocations if possible, but allowed to perform a copy otherwise.
Default: `None`.
order ("C","F","A","K", optional): memory layout of the output array.
Default: "C"
device (optional): array API concept of device where the output array
is created. `device` can be `None`, a oneAPI filter selector string,
an instance of :class:`dpctl.SyclDevice` corresponding to a
non-partitioned SYCL device, an instance of
:class:`dpctl.SyclQueue`, or a `Device` object returned by
`dpctl.tensor.usm_array.device`. Default: `None`.
usm_type ("device"|"shared"|"host", optional): The type of SYCL USM
allocation for the output array. For `usm_type=None` the allocation
type is inferred from the input if `obj` has USM allocation, or
`"device"` is used instead. Default: `None`.
sycl_queue (:class:`dpctl.SyclQueue`, optional): The SYCL queue to use
for output array allocation and copying. `sycl_queue` and `device`
are exclusive keywords, i.e. use one or another. If both are
specified, a `TypeError` is raised unless both imply the same
underlying SYCL queue to be used. If both a `None`, the
`dpctl.SyclQueue()` is used for allocation and copying.
Default: `None`.
"""
# 1. Check that copy is a valid keyword
if copy not in [None, True, False]:
raise TypeError(
"Recognized copy keyword values should be True, False, or None"
)
# 2. Check that dtype is None, or a valid dtype
if dtype is not None:
dtype = np.dtype(dtype)
# 3. Validate order
if not isinstance(order, str):
raise TypeError(
f"Expected order keyword to be of type str, got {type(order)}"
)
if len(order) == 0 or order[0] not in "KkAaCcFf":
raise ValueError(
"Unrecognized order keyword value, expecting 'K', 'A', 'F', or 'C'."
)
else:
order = order[0].upper()
# 4. Check that usm_type is None, or a valid value
dpctl.utils.validate_usm_type(usm_type, allow_none=True)
# 5. Normalize device/sycl_queue [keep it None if was None]
if device is not None or sycl_queue is not None:
sycl_queue = normalize_queue_device(
sycl_queue=sycl_queue, device=device
)
# handle instance(obj, usm_ndarray)
if isinstance(obj, dpt.usm_ndarray):
return _asarray_from_usm_ndarray(
obj,
dtype=dtype,
copy=copy,
usm_type=usm_type,
sycl_queue=sycl_queue,
order=order,
)
elif hasattr(obj, "__sycl_usm_array_interface__"):
sua_iface = getattr(obj, "__sycl_usm_array_interface__")
membuf = dpm.as_usm_memory(obj)
ary = dpt.usm_ndarray(
sua_iface["shape"],
dtype=sua_iface["typestr"],
buffer=membuf,
strides=sua_iface.get("strides", None),
)
return _asarray_from_usm_ndarray(
ary,
dtype=dtype,
copy=copy,
usm_type=usm_type,
sycl_queue=sycl_queue,
order=order,
)
elif isinstance(obj, np.ndarray):
if copy is False:
raise ValueError(
"Converting numpy.ndarray to usm_ndarray requires a copy"
)
return _asarray_from_numpy_ndarray(
obj,
dtype=dtype,
usm_type=usm_type,
sycl_queue=sycl_queue,
order=order,
)
elif _is_object_with_buffer_protocol(obj):
if copy is False:
raise ValueError(
f"Converting {type(obj)} to usm_ndarray requires a copy"
)
return _asarray_from_numpy_ndarray(
np.array(obj),
dtype=dtype,
usm_type=usm_type,
sycl_queue=sycl_queue,
order=order,
)
elif isinstance(obj, (list, tuple, range)):
if copy is False:
raise ValueError(
"Converting Python sequence to usm_ndarray requires a copy"
)
_, dt, devs = _array_info_sequence(obj)
if devs == _host_set:
return _asarray_from_numpy_ndarray(
np.asarray(obj, dtype=dtype, order=order),
dtype=dtype,
usm_type=usm_type,
sycl_queue=sycl_queue,
order=order,
)
# for sequences
raise NotImplementedError(
"Converting Python sequences is not implemented"
)
if copy is False:
raise ValueError(
f"Converting {type(obj)} to usm_ndarray requires a copy"
)
# obj is a scalar, create 0d array
return _asarray_from_numpy_ndarray(
np.asarray(obj),
dtype=dtype,
usm_type=usm_type,
sycl_queue=sycl_queue,
order="C",
)
def empty(
sh, dtype=None, order="C", device=None, usm_type="device", sycl_queue=None
):
"""
Creates `usm_ndarray` from uninitialized USM allocation.
Args:
shape (tuple): Dimensions of the array to be created.
dtype (optional): data type of the array. Can be typestring,
a `numpy.dtype` object, `numpy` char string, or a numpy
scalar type. Default: None
order ("C", or F"): memory layout for the array. Default: "C"
device (optional): array API concept of device where the output array
is created. `device` can be `None`, a oneAPI filter selector string,
an instance of :class:`dpctl.SyclDevice` corresponding to a
non-partitioned SYCL device, an instance of
:class:`dpctl.SyclQueue`, or a `Device` object returnedby
`dpctl.tensor.usm_array.device`. Default: `None`.
usm_type ("device"|"shared"|"host", optional): The type of SYCL USM
allocation for the output array. Default: `"device"`.
sycl_queue (:class:`dpctl.SyclQueue`, optional): The SYCL queue to use
for output array allocation and copying. `sycl_queue` and `device`
are exclusive keywords, i.e. use one or another. If both are
specified, a `TypeError` is raised unless both imply the same
underlying SYCL queue to be used. If both a `None`, the
`dpctl.SyclQueue()` is used for allocation and copying.
Default: `None`.
"""
if not isinstance(order, str) or len(order) == 0 or order[0] not in "CcFf":
raise ValueError(
"Unrecognized order keyword value, expecting 'F' or 'C'."
)
else:
order = order[0].upper()
dpctl.utils.validate_usm_type(usm_type, allow_none=False)
sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
dtype = _get_dtype(dtype, sycl_queue)
res = dpt.usm_ndarray(
sh,
dtype=dtype,
buffer=usm_type,
order=order,
buffer_ctor_kwargs={"queue": sycl_queue},
)
return res
def _coerce_and_infer_dt(*args, dt):
"Deduce arange type from sequence spec"
nd, seq_dt, d = _array_info_sequence(args)
if d != _host_set or nd != (len(args),):
raise ValueError("start, stop and step must be Python scalars")
if dt is None:
dt = seq_dt
dt = np.dtype(dt)
if np.issubdtype(dt, np.integer):
return tuple(int(v) for v in args), dt
elif np.issubdtype(dt, np.floating):
return tuple(float(v) for v in args), dt
elif np.issubdtype(dt, np.complexfloating):
return tuple(complex(v) for v in args), dt
else:
raise ValueError(f"Data type {dt} is not supported")
def _get_arange_length(start, stop, step):
"Compute length of arange sequence"
span = stop - start
if type(step) in [int, float] and type(span) in [int, float]:
offset = -1 if step > 0 else 1
tmp = 1 + (span + offset) / step
return tmp
tmp = span / step
if type(tmp) is complex and tmp.imag == 0:
tmp = tmp.real
else:
return tmp
k = int(tmp)
if k > 0 and float(k) < tmp:
tmp = tmp + 1
return tmp
def arange(
start,
/,
stop=None,
step=1,
*,
dtype=None,
device=None,
usm_type="device",
sycl_queue=None,
):
""" arange(start, /, stop=None, step=1, *, dtype=None, \
device=None, usm_type="device", sycl_queue=None) -> usm_ndarray
Args:
start:
device (optional): array API concept of device where the output array
is created. `device` can be `None`, a oneAPI filter selector string,
an instance of :class:`dpctl.SyclDevice` corresponding to a
non-partitioned SYCL device, an instance of
:class:`dpctl.SyclQueue`, or a `Device` object returned by
`dpctl.tensor.usm_array.device`. Default: `None`.
usm_type ("device"|"shared"|"host", optional): The type of SYCL USM
allocation for the output array. Default: `'device'`.
sycl_queue (:class:`dpctl.SyclQueue`, optional): The SYCL queue to use
for output array allocation and copying. `sycl_queue` and `device`
are exclusive keywords, i.e. use one or another. If both are
specified, a `TypeError` is raised unless both imply the same
underlying SYCL queue to be used. If both a `None`, the
`dpctl.SyclQueue()` is used for allocation and copying.
Default: `None`.
"""
if stop is None:
stop = start
start = 0
(
start,
stop,
step,
), dt = _coerce_and_infer_dt(start, stop, step, dt=dtype)
try:
tmp = _get_arange_length(start, stop, step)
sh = int(tmp)
if sh < 0:
sh = 0
except TypeError:
sh = 0
dpctl.utils.validate_usm_type(usm_type, allow_none=False)
sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
res = dpt.usm_ndarray(
(sh,),
dtype=dt,
buffer=usm_type,
order="C",
buffer_ctor_kwargs={"queue": sycl_queue},
)
_step = (start + step) - start
_step = dt.type(_step)
hev, _ = ti._linspace_step(start, _step, res, sycl_queue)
hev.wait()
return res
def zeros(
sh, dtype=None, order="C", device=None, usm_type="device", sycl_queue=None
):
"""
Creates `usm_ndarray` with zero elements.
Args:
shape (tuple): Dimensions of the array to be created.
dtype (optional): data type of the array. Can be typestring,
a `numpy.dtype` object, `numpy` char string, or a numpy
scalar type. Default: None
order ("C", or F"): memory layout for the array. Default: "C"
device (optional): array API concept of device where the output array
is created. `device` can be `None`, a oneAPI filter selector string,
an instance of :class:`dpctl.SyclDevice` corresponding to a
non-partitioned SYCL device, an instance of
:class:`dpctl.SyclQueue`, or a `Device` object returnedby
`dpctl.tensor.usm_array.device`. Default: `None`.
usm_type ("device"|"shared"|"host", optional): The type of SYCL USM
allocation for the output array. Default: `"device"`.
sycl_queue (:class:`dpctl.SyclQueue`, optional): The SYCL queue to use
for output array allocation and copying. `sycl_queue` and `device`
are exclusive keywords, i.e. use one or another. If both are
specified, a `TypeError` is raised unless both imply the same
underlying SYCL queue to be used. If both a `None`, the
`dpctl.SyclQueue()` is used for allocation and copying.
Default: `None`.
"""
if not isinstance(order, str) or len(order) == 0 or order[0] not in "CcFf":
raise ValueError(
"Unrecognized order keyword value, expecting 'F' or 'C'."
)
else:
order = order[0].upper()
dpctl.utils.validate_usm_type(usm_type, allow_none=False)
sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
dtype = _get_dtype(dtype, sycl_queue)
res = dpt.usm_ndarray(
sh,
dtype=dtype,
buffer=usm_type,
order=order,
buffer_ctor_kwargs={"queue": sycl_queue},
)
res.usm_data.memset()
return res
def ones(
sh, dtype=None, order="C", device=None, usm_type="device", sycl_queue=None
):
"""
Creates `usm_ndarray` with elements of one.
Args:
shape (tuple): Dimensions of the array to be created.
dtype (optional): data type of the array. Can be typestring,
a `numpy.dtype` object, `numpy` char string, or a numpy
scalar type. Default: None
order ("C", or F"): memory layout for the array. Default: "C"
device (optional): array API concept of device where the output array
is created. `device` can be `None`, a oneAPI filter selector string,
an instance of :class:`dpctl.SyclDevice` corresponding to a
non-partitioned SYCL device, an instance of
:class:`dpctl.SyclQueue`, or a `Device` object returnedby
`dpctl.tensor.usm_array.device`. Default: `None`.
usm_type ("device"|"shared"|"host", optional): The type of SYCL USM
allocation for the output array. Default: `"device"`.
sycl_queue (:class:`dpctl.SyclQueue`, optional): The SYCL queue to use
for output array allocation and copying. `sycl_queue` and `device`
are exclusive keywords, i.e. use one or another. If both are
specified, a `TypeError` is raised unless both imply the same
underlying SYCL queue to be used. If both a `None`, the
`dpctl.SyclQueue()` is used for allocation and copying.
Default: `None`.
"""
if not isinstance(order, str) or len(order) == 0 or order[0] not in "CcFf":
raise ValueError(
"Unrecognized order keyword value, expecting 'F' or 'C'."
)
else:
order = order[0].upper()
dpctl.utils.validate_usm_type(usm_type, allow_none=False)
sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
dtype = _get_dtype(dtype, sycl_queue)
res = dpt.usm_ndarray(
sh,
dtype=dtype,
buffer=usm_type,
order=order,
buffer_ctor_kwargs={"queue": sycl_queue},
)
hev, ev = ti._full_usm_ndarray(1, res, sycl_queue)
hev.wait()
return res
def full(
sh,
fill_value,
dtype=None,
order="C",
device=None,
usm_type="device",
sycl_queue=None,
):
"""
Creates `usm_ndarray` with elements of one.
Args:
shape (tuple): Dimensions of the array to be created.
fill_value (int,float,complex): fill value
dtype (optional): data type of the array. Can be typestring,
a `numpy.dtype` object, `numpy` char string, or a numpy
scalar type. Default: None
order ("C", or F"): memory layout for the array. Default: "C"
device (optional): array API concept of device where the output array
is created. `device` can be `None`, a oneAPI filter selector string,
an instance of :class:`dpctl.SyclDevice` corresponding to a
non-partitioned SYCL device, an instance of
:class:`dpctl.SyclQueue`, or a `Device` object returnedby
`dpctl.tensor.usm_array.device`. Default: `None`.
usm_type ("device"|"shared"|"host", optional): The type of SYCL USM
allocation for the output array. Default: `"device"`.
sycl_queue (:class:`dpctl.SyclQueue`, optional): The SYCL queue to use
for output array allocation and copying. `sycl_queue` and `device`
are exclusive keywords, i.e. use one or another. If both are
specified, a `TypeError` is raised unless both imply the same
underlying SYCL queue to be used. If both a `None`, the
`dpctl.SyclQueue()` is used for allocation and copying.
Default: `None`.
"""
if not isinstance(order, str) or len(order) == 0 or order[0] not in "CcFf":
raise ValueError(
"Unrecognized order keyword value, expecting 'F' or 'C'."
)
else:
order = order[0].upper()
dpctl.utils.validate_usm_type(usm_type, allow_none=False)
sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
dtype = _get_dtype(dtype, sycl_queue, ref_type=type(fill_value))
res = dpt.usm_ndarray(
sh,
dtype=dtype,
buffer=usm_type,
order=order,
buffer_ctor_kwargs={"queue": sycl_queue},
)
hev, ev = ti._full_usm_ndarray(fill_value, res, sycl_queue)
hev.wait()
return res
def empty_like(
x, dtype=None, order="C", device=None, usm_type=None, sycl_queue=None
):
"""
Creates `usm_ndarray` from uninitialized USM allocation.
Args:
x (usm_ndarray): Input array from which to derive the output array
shape.
dtype (optional): data type of the array. Can be typestring,
a `numpy.dtype` object, `numpy` char string, or a numpy
scalar type. Default: None
order ("C", or F"): memory layout for the array. Default: "C"
device (optional): array API concept of device where the output array
is created. `device` can be `None`, a oneAPI filter selector string,
an instance of :class:`dpctl.SyclDevice` corresponding to a
non-partitioned SYCL device, an instance of
:class:`dpctl.SyclQueue`, or a `Device` object returnedby
`dpctl.tensor.usm_array.device`. Default: `None`.
usm_type ("device"|"shared"|"host", optional): The type of SYCL USM
allocation for the output array. Default: `"device"`.
sycl_queue (:class:`dpctl.SyclQueue`, optional): The SYCL queue to use
for output array allocation and copying. `sycl_queue` and `device`
are exclusive keywords, i.e. use one or another. If both are
specified, a `TypeError` is raised unless both imply the same
underlying SYCL queue to be used. If both a `None`, the
`dpctl.SyclQueue()` is used for allocation and copying.
Default: `None`.
"""
if not isinstance(x, dpt.usm_ndarray):
raise TypeError(f"Expected instance of dpt.usm_ndarray, got {type(x)}.")
if not isinstance(order, str) or len(order) == 0 or order[0] not in "CcFf":
raise ValueError(
"Unrecognized order keyword value, expecting 'F' or 'C'."
)
else:
order = order[0].upper()
if dtype is None:
dtype = x.dtype
if usm_type is None:
usm_type = x.usm_type
dpctl.utils.validate_usm_type(usm_type, allow_none=False)
if device is None and sycl_queue is None:
device = x.device
sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
sh = x.shape
dtype = np.dtype(dtype)
res = dpt.usm_ndarray(
sh,
dtype=dtype,
buffer=usm_type,
order=order,
buffer_ctor_kwargs={"queue": sycl_queue},
)
return res
def zeros_like(
x, dtype=None, order="C", device=None, usm_type=None, sycl_queue=None
):
"""
Creates `usm_ndarray` from USM allocation initialized with zeros.
Args:
x (usm_ndarray): Input array from which to derive the output array
shape.
dtype (optional): data type of the array. Can be typestring,
a `numpy.dtype` object, `numpy` char string, or a numpy
scalar type. Default: None
order ("C", or F"): memory layout for the array. Default: "C"
device (optional): array API concept of device where the output array
is created. `device` can be `None`, a oneAPI filter selector string,
an instance of :class:`dpctl.SyclDevice` corresponding to a
non-partitioned SYCL device, an instance of
:class:`dpctl.SyclQueue`, or a `Device` object returnedby
`dpctl.tensor.usm_array.device`. Default: `None`.
usm_type ("device"|"shared"|"host", optional): The type of SYCL USM
allocation for the output array. Default: `"device"`.
sycl_queue (:class:`dpctl.SyclQueue`, optional): The SYCL queue to use
for output array allocation and copying. `sycl_queue` and `device`
are exclusive keywords, i.e. use one or another. If both are
specified, a `TypeError` is raised unless both imply the same
underlying SYCL queue to be used. If both a `None`, the
`dpctl.SyclQueue()` is used for allocation and copying.
Default: `None`.
"""
if not isinstance(x, dpt.usm_ndarray):
raise TypeError(f"Expected instance of dpt.usm_ndarray, got {type(x)}.")
if not isinstance(order, str) or len(order) == 0 or order[0] not in "CcFf":
raise ValueError(
"Unrecognized order keyword value, expecting 'F' or 'C'."
)
else:
order = order[0].upper()
if dtype is None:
dtype = x.dtype
if usm_type is None:
usm_type = x.usm_type
dpctl.utils.validate_usm_type(usm_type, allow_none=False)
if device is None and sycl_queue is None:
device = x.device
sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
sh = x.shape
dtype = np.dtype(dtype)
return zeros(
sh,
dtype=dtype,
order=order,
device=device,
usm_type=usm_type,
sycl_queue=sycl_queue,
)
def ones_like(
x, dtype=None, order="C", device=None, usm_type=None, sycl_queue=None
):
"""
Creates `usm_ndarray` from USM allocation initialized with zeros.
Args:
x (usm_ndarray): Input array from which to derive the output array
shape.
dtype (optional): data type of the array. Can be typestring,
a `numpy.dtype` object, `numpy` char string, or a numpy
scalar type. Default: None
order ("C", or F"): memory layout for the array. Default: "C"
device (optional): array API concept of device where the output array
is created. `device` can be `None`, a oneAPI filter selector string,
an instance of :class:`dpctl.SyclDevice` corresponding to a
non-partitioned SYCL device, an instance of
:class:`dpctl.SyclQueue`, or a `Device` object returnedby
`dpctl.tensor.usm_array.device`. Default: `None`.
usm_type ("device"|"shared"|"host", optional): The type of SYCL USM
allocation for the output array. Default: `"device"`.
sycl_queue (:class:`dpctl.SyclQueue`, optional): The SYCL queue to use
for output array allocation and copying. `sycl_queue` and `device`
are exclusive keywords, i.e. use one or another. If both are
specified, a `TypeError` is raised unless both imply the same
underlying SYCL queue to be used. If both a `None`, the
`dpctl.SyclQueue()` is used for allocation and copying.
Default: `None`.
"""
if not isinstance(x, dpt.usm_ndarray):
raise TypeError(f"Expected instance of dpt.usm_ndarray, got {type(x)}.")
if not isinstance(order, str) or len(order) == 0 or order[0] not in "CcFf":
raise ValueError(
"Unrecognized order keyword value, expecting 'F' or 'C'."
)
else:
order = order[0].upper()
if dtype is None:
dtype = x.dtype
if usm_type is None:
usm_type = x.usm_type
dpctl.utils.validate_usm_type(usm_type, allow_none=False)
if device is None and sycl_queue is None:
device = x.device
sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
sh = x.shape
dtype = np.dtype(dtype)
return ones(
sh,
dtype=dtype,
order=order,
device=device,
usm_type=usm_type,
sycl_queue=sycl_queue,
)
def full_like(
x,
fill_value,
dtype=None,
order="C",
device=None,
usm_type=None,
sycl_queue=None,
):
"""
Creates `usm_ndarray` from USM allocation initialized with zeros.
Args:
x (usm_ndarray): Input array from which to derive the output array
shape.
fill_value: the value to fill array with
dtype (optional): data type of the array. Can be typestring,
a `numpy.dtype` object, `numpy` char string, or a numpy
scalar type. Default: None
order ("C", or F"): memory layout for the array. Default: "C"
device (optional): array API concept of device where the output array
is created. `device` can be `None`, a oneAPI filter selector string,
an instance of :class:`dpctl.SyclDevice` corresponding to a
non-partitioned SYCL device, an instance of
:class:`dpctl.SyclQueue`, or a `Device` object returnedby
`dpctl.tensor.usm_array.device`. Default: `None`.
usm_type ("device"|"shared"|"host", optional): The type of SYCL USM
allocation for the output array. Default: `"device"`.
sycl_queue (:class:`dpctl.SyclQueue`, optional): The SYCL queue to use
for output array allocation and copying. `sycl_queue` and `device`
are exclusive keywords, i.e. use one or another. If both are
specified, a `TypeError` is raised unless both imply the same
underlying SYCL queue to be used. If both a `None`, the
`dpctl.SyclQueue()` is used for allocation and copying.
Default: `None`.
"""
if not isinstance(x, dpt.usm_ndarray):
raise TypeError(f"Expected instance of dpt.usm_ndarray, got {type(x)}.")
if not isinstance(order, str) or len(order) == 0 or order[0] not in "CcFf":
raise ValueError(
"Unrecognized order keyword value, expecting 'F' or 'C'."
)
else:
order = order[0].upper()
if dtype is None:
dtype = x.dtype
if usm_type is None:
usm_type = x.usm_type
dpctl.utils.validate_usm_type(usm_type, allow_none=False)
if device is None and sycl_queue is None:
device = x.device
sycl_queue = normalize_queue_device(sycl_queue=sycl_queue, device=device)
sh = x.shape
dtype = np.dtype(dtype)
return full(
sh,
fill_value,
dtype=dtype,
order=order,
device=device,
usm_type=usm_type,
sycl_queue=sycl_queue,
)
| 38.139066
| 80
| 0.613077
| 4,796
| 35,927
| 4.461843
| 0.070267
| 0.055096
| 0.023132
| 0.017664
| 0.771111
| 0.748306
| 0.727931
| 0.712837
| 0.700407
| 0.691574
| 0
| 0.002442
| 0.293456
| 35,927
| 941
| 81
| 38.179596
| 0.840569
| 0.429148
| 0
| 0.59401
| 0
| 0
| 0.089031
| 0.004142
| 0
| 0
| 0
| 0.001063
| 0.001664
| 1
| 0.02995
| false
| 0.006656
| 0.011647
| 0
| 0.109817
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
e9b1653174d672f1b69bc02d2f6d33001f1e382b
| 213
|
py
|
Python
|
main.py
|
GUTINGLIAO/net-structure-classes-num-expr
|
f05222dc517c61a1627c427ef4981b6da13c755c
|
[
"MIT"
] | 2
|
2021-01-18T15:47:32.000Z
|
2021-01-20T05:37:48.000Z
|
main.py
|
GUTINGLIAO/net-structure-classes-num-expr
|
f05222dc517c61a1627c427ef4981b6da13c755c
|
[
"MIT"
] | null | null | null |
main.py
|
GUTINGLIAO/net-structure-classes-num-expr
|
f05222dc517c61a1627c427ef4981b6da13c755c
|
[
"MIT"
] | null | null | null |
from net.cnn import Cnn, device
from net.instance import simple_cnn_cifar10_instance_10_classes
if __name__ == '__main__':
print(device)
net: Cnn = simple_cnn_cifar10_instance_10_classes
net.test()
| 21.3
| 63
| 0.769953
| 31
| 213
| 4.709677
| 0.483871
| 0.09589
| 0.219178
| 0.328767
| 0.452055
| 0.452055
| 0
| 0
| 0
| 0
| 0
| 0.044693
| 0.159624
| 213
| 9
| 64
| 23.666667
| 0.77095
| 0
| 0
| 0
| 0
| 0
| 0.037915
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0.166667
| 0
| 0
| 0
| null | 0
| 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
| 5
|
e9b3d97eebd0f9ca179a356f9a4c34de70a379da
| 70
|
py
|
Python
|
lesson05/prefecture/hyogo_behavior.py
|
muzudho/py-state-machine-practice
|
e31c066f4cf142b6b6c5ff273b56a0f89428c59e
|
[
"MIT"
] | null | null | null |
lesson05/prefecture/hyogo_behavior.py
|
muzudho/py-state-machine-practice
|
e31c066f4cf142b6b6c5ff273b56a0f89428c59e
|
[
"MIT"
] | null | null | null |
lesson05/prefecture/hyogo_behavior.py
|
muzudho/py-state-machine-practice
|
e31c066f4cf142b6b6c5ff273b56a0f89428c59e
|
[
"MIT"
] | null | null | null |
class HyogoBehavior:
def print(self):
print("Port Tower")
| 17.5
| 27
| 0.628571
| 8
| 70
| 5.5
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.257143
| 70
| 3
| 28
| 23.333333
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 0
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 1
|
0
| 5
|
75a3c2883372c724766600a702819558e03c53d5
| 55
|
py
|
Python
|
tests/alphanumeric/tests/__init__.py
|
contentoolsraushan/contentools-raushan-raj
|
3205e72c4a18249adc5c7fd4058540e1ba92a55d
|
[
"BSD-3-Clause"
] | 1
|
2016-11-16T02:34:00.000Z
|
2016-11-16T02:34:00.000Z
|
tests/alphanumeric/tests/__init__.py
|
contentoolsraushan/contentools-raushan-raj
|
3205e72c4a18249adc5c7fd4058540e1ba92a55d
|
[
"BSD-3-Clause"
] | null | null | null |
tests/alphanumeric/tests/__init__.py
|
contentoolsraushan/contentools-raushan-raj
|
3205e72c4a18249adc5c7fd4058540e1ba92a55d
|
[
"BSD-3-Clause"
] | 1
|
2020-06-12T09:54:55.000Z
|
2020-06-12T09:54:55.000Z
|
from alphanumeric.tests.views import * # flake8: noqa
| 27.5
| 54
| 0.763636
| 7
| 55
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021277
| 0.145455
| 55
| 1
| 55
| 55
| 0.87234
| 0.218182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 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
| 5
|
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