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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fa1e313f41d791cd9090a61a8d4f48d1a9b33273
| 84
|
py
|
Python
|
management/commands/shutdown.py
|
AileenLumina/dwarf
|
5fc3b1b532290a474d17f84694dae1d0d53be7b4
|
[
"MIT"
] | null | null | null |
management/commands/shutdown.py
|
AileenLumina/dwarf
|
5fc3b1b532290a474d17f84694dae1d0d53be7b4
|
[
"MIT"
] | null | null | null |
management/commands/shutdown.py
|
AileenLumina/dwarf
|
5fc3b1b532290a474d17f84694dae1d0d53be7b4
|
[
"MIT"
] | null | null | null |
from dwarf.bot import bot
bot.loop.close()
# TODO Also shutdown the web interface
| 14
| 38
| 0.761905
| 14
| 84
| 4.571429
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 84
| 5
| 39
| 16.8
| 0.914286
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 0
| 1
| 0
| true
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
fa44e74e21f756946a4971bb21a33c21c54332e7
| 43
|
py
|
Python
|
bunsen/py/__init__.py
|
castorini/bunsen
|
6fe9b8b71ca37631974e96889e1a72d35fd5a437
|
[
"MIT"
] | null | null | null |
bunsen/py/__init__.py
|
castorini/bunsen
|
6fe9b8b71ca37631974e96889e1a72d35fd5a437
|
[
"MIT"
] | null | null | null |
bunsen/py/__init__.py
|
castorini/bunsen
|
6fe9b8b71ca37631974e96889e1a72d35fd5a437
|
[
"MIT"
] | null | null | null |
from .hello import *
from .typing import *
| 14.333333
| 21
| 0.72093
| 6
| 43
| 5.166667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.186047
| 43
| 2
| 22
| 21.5
| 0.885714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
|
d7390de0b28145150fda5ca8732f77bb9b3dd02c
| 114
|
py
|
Python
|
test/test_plantuml_trick.py
|
Bonusnorm/plantuml_trick
|
e8553f813d5b52e72bbf25a5c854325a9e64d62d
|
[
"BSD-3-Clause"
] | 1
|
2020-06-21T08:48:43.000Z
|
2020-06-21T08:48:43.000Z
|
test/test_plantuml_trick.py
|
Bonusnorm/plantuml_trick
|
e8553f813d5b52e72bbf25a5c854325a9e64d62d
|
[
"BSD-3-Clause"
] | null | null | null |
test/test_plantuml_trick.py
|
Bonusnorm/plantuml_trick
|
e8553f813d5b52e72bbf25a5c854325a9e64d62d
|
[
"BSD-3-Clause"
] | null | null | null |
from plantuml_trick.plantuml import PlantumlTrick
def test_plantuml_compile() -> None:
assert PlantumlTrick
| 19
| 49
| 0.807018
| 13
| 114
| 6.846154
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140351
| 114
| 5
| 50
| 22.8
| 0.908163
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 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
| 1
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
d743db730bb004cf6b3d63bcfc7241fb8f2d49b2
| 4,111
|
py
|
Python
|
components/monitoringlogging.py
|
rebataur/fsKube
|
e10228b472b3e2e14de88403e871cab0e4d7c6d2
|
[
"MIT"
] | 4
|
2020-12-04T20:27:32.000Z
|
2020-12-10T21:31:56.000Z
|
components/monitoringlogging.py
|
rebataur/fsKube
|
e10228b472b3e2e14de88403e871cab0e4d7c6d2
|
[
"MIT"
] | 1
|
2020-12-31T08:36:30.000Z
|
2020-12-31T08:36:46.000Z
|
components/monitoringlogging.py
|
rebataur/fskube
|
e10228b472b3e2e14de88403e871cab0e4d7c6d2
|
[
"MIT"
] | null | null | null |
from fskube import commander
from fskube import model
import time
import logging
logging.basicConfig(level=logging.INFO)
class MonitoringLogging:
def __init__(self, cluster_id):
self.cluster_id = cluster_id
self.cluster = model.get_cluster(self.cluster_id)
def install(self):
# add helm repo
cmd = 'kubectl create namespace logging'
output = commander.execute_command(cmd,self.cluster_id)
if (log_err_id := model.save_component_log('elk',cmd,output,self.cluster_id)) > 0:
info = {'success':False, 'msg':f'Error in executing in command > {cmd}, Logs Available at > https://localhost:5000/logs/{log_err_id}'}
logging.info(info)
# add helm repo
cmd = 'helm repo add elastic https://helm.elastic.co'
output = commander.execute_command(cmd,self.cluster_id)
if (log_err_id := model.save_component_log('elk',cmd,output,self.cluster_id)) > 0:
info = {'success':False, 'msg':f'Error in executing in command > {cmd}, Logs Available at > https://localhost:5000/logs/{log_err_id}'}
logging.info(info)
# update helm repo
cmd = 'helm repo update'
output = commander.execute_command(cmd,self.cluster_id)
if (log_err_id := model.save_component_log('elk',cmd,output,self.cluster_id)) > 0:
info = {'success':False, 'msg':f'Error in executing in command > {cmd}, Logs Available at > https://localhost:5000/logs/{log_err_id}'}
logging.info(info)
# helm install
cmd = 'helm install elasticsearch elastic/elasticsearch -f https://gist.githubusercontent.com/rebataur/360812a9d482278d075d96c24b206730/raw/6c90f2343a6cae1db387cb2e3d53934cf8a2b7ff/elkvalues --namespace logging'
output = commander.execute_command(cmd,self.cluster_id)
if (log_err_id := model.save_component_log('elk',cmd,output,self.cluster_id)) > 0:
info = {'success':False, 'msg':f'Error in executing in command > {cmd}, Logs Available at > https://localhost:5000/logs/{log_err_id}'}
logging.info(info)
time.sleep(60*3)
cmd = 'helm install kibana elastic/kibana --namespace logging'
output = commander.execute_command(cmd,self.cluster_id)
if (log_err_id := model.save_component_log('elk',cmd,output,self.cluster_id)) > 0:
info = {'success':False, 'msg':f'Error in executing in command > {cmd}, Logs Available at > https://localhost:5000/logs/{log_err_id}'}
logging.info(info)
time.sleep(60*3)
cmd = 'helm install filebeat elastic/filebeat --namespace logging'
output = commander.execute_command(cmd,self.cluster_id)
if (log_err_id := model.save_component_log('elk',cmd,output,self.cluster_id)) > 0:
info = {'success':False, 'msg':f'Error in executing in command > {cmd}, Logs Available at > https://localhost:5000/logs/{log_err_id}'}
logging.info(info)
time.sleep(60*3)
cmd = 'helm install metricbeat elastic/metricbeat --namespace logging'
output = commander.execute_command(cmd,self.cluster_id)
if (log_err_id := model.save_component_log('elk',cmd,output,self.cluster_id)) > 0:
info = {'success':False, 'msg':f'Error in executing in command > {cmd}, Logs Available at > https://localhost:5000/logs/{log_err_id}'}
logging.info(info)
return {'success':True, 'msg':'ELK Stack installed successfully'}
def uninstall(self):
cmd = 'helm delete elasticsearch kibana filebeat metricbeat --namespace logging'
output = commander.execute_command(cmd,self.cluster_id)
# log cmd outputs
if (log_err_id := model.save_component_log('elk',cmd,output,self.cluster_id)) > 0:
info = {'success':False, 'msg':f'Error in executing in command > {cmd}, Logs Available at > https://localhost:5000/logs/{log_err_id}'}
logging.info(info)
return {'success':True, 'msg':'ELK Stack installed successfully'}
| 62.287879
| 228
| 0.654099
| 530
| 4,111
| 4.920755
| 0.141509
| 0.084356
| 0.094709
| 0.088957
| 0.770706
| 0.756135
| 0.756135
| 0.756135
| 0.756135
| 0.756135
| 0
| 0.030331
| 0.222087
| 4,111
| 66
| 229
| 62.287879
| 0.785178
| 0.018
| 0
| 0.660714
| 0
| 0.160714
| 0.384673
| 0.005208
| 0
| 0
| 0
| 0
| 0
| 1
| 0.053571
| false
| 0
| 0.071429
| 0
| 0.178571
| 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
|
d78f9c7e752823704154d6a4f8c3ae860ef36164
| 214
|
py
|
Python
|
Python3/1079-Letter-Tile-Possibilities/soln-1.py
|
wyaadarsh/LeetCode-Solutions
|
3719f5cb059eefd66b83eb8ae990652f4b7fd124
|
[
"MIT"
] | 5
|
2020-07-24T17:48:59.000Z
|
2020-12-21T05:56:00.000Z
|
Python3/1079-Letter-Tile-Possibilities/soln-1.py
|
zhangyaqi1989/LeetCode-Solutions
|
2655a1ffc8678ad1de6c24295071308a18c5dc6e
|
[
"MIT"
] | null | null | null |
Python3/1079-Letter-Tile-Possibilities/soln-1.py
|
zhangyaqi1989/LeetCode-Solutions
|
2655a1ffc8678ad1de6c24295071308a18c5dc6e
|
[
"MIT"
] | 2
|
2020-07-24T17:49:01.000Z
|
2020-08-31T19:57:35.000Z
|
import functools
class Solution:
def numTilePossibilities(self, tiles: str) -> int:
return len(functools.reduce(operator.or_, [set(itertools.permutations(tiles, i)) for i in range(1, len(tiles) + 1)]))
| 42.8
| 125
| 0.71028
| 29
| 214
| 5.206897
| 0.793103
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01105
| 0.154206
| 214
| 4
| 126
| 53.5
| 0.823204
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
ad19d42c848ea6b299aff0b0fcb35c344f589c0c
| 30
|
py
|
Python
|
application/src/Tabulate/__init__.py
|
havelar/SapLogExtender
|
5cba1fd279e578267e83d232677e3a7495c350f4
|
[
"MIT"
] | null | null | null |
application/src/Tabulate/__init__.py
|
havelar/SapLogExtender
|
5cba1fd279e578267e83d232677e3a7495c350f4
|
[
"MIT"
] | null | null | null |
application/src/Tabulate/__init__.py
|
havelar/SapLogExtender
|
5cba1fd279e578267e83d232677e3a7495c350f4
|
[
"MIT"
] | null | null | null |
from .tabulate import tabulate
| 30
| 30
| 0.866667
| 4
| 30
| 6.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 30
| 1
| 30
| 30
| 0.962963
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
|
ad4b9b21268ae7ddd6bda8f9662785084d4d2439
| 53,654
|
py
|
Python
|
fn_mitre_integration/fn_mitre_integration/util/customize.py
|
devsuds/resilient-community-apps
|
ce0b087a160dd1c2f86f8c261630b46ce6948ca2
|
[
"MIT"
] | null | null | null |
fn_mitre_integration/fn_mitre_integration/util/customize.py
|
devsuds/resilient-community-apps
|
ce0b087a160dd1c2f86f8c261630b46ce6948ca2
|
[
"MIT"
] | null | null | null |
fn_mitre_integration/fn_mitre_integration/util/customize.py
|
devsuds/resilient-community-apps
|
ce0b087a160dd1c2f86f8c261630b46ce6948ca2
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Generate the Resilient customizations required for fn_mitre_integration"""
from __future__ import print_function
from resilient_circuits.util import *
def codegen_reload_data():
"""Parameters to codegen used to generate the fn_mitre_integration package"""
reload_params = {"package": u"fn_mitre_integration",
"incident_fields": [u"mitre_tactic_id", u"mitre_tactic_name", u"mitre_technique_id", u"mitre_technique_name"],
"action_fields": [],
"function_params": [u"mitre_tactic_id", u"mitre_tactic_name", u"mitre_technique_id", u"mitre_technique_mitigation_only", u"mitre_technique_name"],
"datatables": [u"mitre_attack_of_incident", u"mitre_attack_techniques"],
"message_destinations": [u"fn_mitre_integration"],
"functions": [u"mitre_tactic_information", u"mitre_technique_information"],
"phases": [],
"automatic_tasks": [],
"scripts": [],
"workflows": [u"mitre_get_tactic_information", u"mitre_get_technique_information", u"mitre_technique_task"],
"actions": [u"Create Task for MITRE ATT&CK technique", u"Get MITRE tactic information", u"Get MITRE technique information"]
}
return reload_params
def customization_data(client=None):
"""Produce any customization definitions (types, fields, message destinations, etc)
that should be installed by `resilient-circuits customize`
"""
# This import data contains:
# Incident fields:
# mitre_tactic_id
# mitre_tactic_name
# mitre_technique_id
# mitre_technique_name
# Function inputs:
# mitre_tactic_id
# mitre_tactic_name
# mitre_technique_id
# mitre_technique_mitigation_only
# mitre_technique_name
# DataTables:
# mitre_attack_of_incident
# mitre_attack_techniques
# Message Destinations:
# fn_mitre_integration
# Functions:
# mitre_tactic_information
# mitre_technique_information
# Workflows:
# mitre_get_tactic_information
# mitre_get_technique_information
# mitre_technique_task
# Rules:
# Create Task for MITRE ATT&CK technique
# Get MITRE tactic information
# Get MITRE technique information
yield ImportDefinition(u"""
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0
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|
ad4cf493c2973938937b44dcee2418052ef145b4
| 124
|
py
|
Python
|
run.py
|
mwetzel7r/webrunner
|
a670c11c1eef0b90f04131f1a1ce46625965d418
|
[
"Unlicense"
] | null | null | null |
run.py
|
mwetzel7r/webrunner
|
a670c11c1eef0b90f04131f1a1ce46625965d418
|
[
"Unlicense"
] | 2
|
2021-04-07T20:11:48.000Z
|
2021-04-15T12:06:45.000Z
|
run.py
|
mwetzel7r/webrunner
|
a670c11c1eef0b90f04131f1a1ce46625965d418
|
[
"Unlicense"
] | 1
|
2021-09-13T15:54:04.000Z
|
2021-09-13T15:54:04.000Z
|
from app import app
import config
from waitress import serve
serve(app, host=config.host, port=config.port, threads = 6)
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0
| 5
|
ad8cf7563522931bb611ade22fad9010d24b070f
| 52
|
py
|
Python
|
pset6/dna/dna.py
|
SnezhyVanova/Harvard-CS50x
|
7d08b9cbaf1aed4eb64a25f06e626495cbbf3e84
|
[
"MIT"
] | null | null | null |
pset6/dna/dna.py
|
SnezhyVanova/Harvard-CS50x
|
7d08b9cbaf1aed4eb64a25f06e626495cbbf3e84
|
[
"MIT"
] | null | null | null |
pset6/dna/dna.py
|
SnezhyVanova/Harvard-CS50x
|
7d08b9cbaf1aed4eb64a25f06e626495cbbf3e84
|
[
"MIT"
] | null | null | null |
import csv
from cs50 import get_string
import sys
| 8.666667
| 27
| 0.807692
| 9
| 52
| 4.555556
| 0.777778
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0.047619
| 0.192308
| 52
| 5
| 28
| 10.4
| 0.928571
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| 1
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|
0
| 5
|
d1304fffadb8c24f88dc83faa28601291f139eb9
| 4,302
|
py
|
Python
|
docs/snippets/ov_auto.py
|
peterchen-intel/openvino
|
4a47c95c0488615f32d0422262572fdcecc8c248
|
[
"Apache-2.0"
] | null | null | null |
docs/snippets/ov_auto.py
|
peterchen-intel/openvino
|
4a47c95c0488615f32d0422262572fdcecc8c248
|
[
"Apache-2.0"
] | null | null | null |
docs/snippets/ov_auto.py
|
peterchen-intel/openvino
|
4a47c95c0488615f32d0422262572fdcecc8c248
|
[
"Apache-2.0"
] | null | null | null |
import sys
from openvino.runtime import Core
from openvino.inference_engine import IECore
model_path = "/openvino_CI_CD/result/install_pkg/tests/test_model_zoo/core/models/ir/add_abc.xml"
path_to_model = "/openvino_CI_CD/result/install_pkg/tests/test_model_zoo/core/models/ir/add_abc.xml"
def part0():
#! [part0]
core = Core()
# Read a network in IR, PaddlePaddle, or ONNX format:
model = core.read_model(model_path)
# compile a model on AUTO using the default list of device candidates.
# The following lines are equivalent:
compiled_model = core.compile_model(model=model)
compiled_model = core.compile_model(model=model, device_name="AUTO")
# Optional
# You can also specify the devices to be used by AUTO.
# The following lines are equivalent:
compiled_model = core.compile_model(model=model, device_name="AUTO:GPU,CPU")
compiled_model = core.compile_model(model=model, device_name="AUTO", config={"MULTI_DEVICE_PRIORITIES": "GPU,CPU"})
# Optional
# the AUTO plugin is pre-configured (globally) with the explicit option:
core.set_property(device_name="AUTO", properties={"MULTI_DEVICE_PRIORITIES":"GPU,CPU"})
#! [part0]
def part1():
#! [part1]
### IE API ###
ie = IECore()
# Read a network in IR, PaddlePaddle, or ONNX format:
net = ie.read_network(model=path_to_model)
# Load a network to AUTO using the default list of device candidates.
# The following lines are equivalent:
exec_net = ie.load_network(network=net)
exec_net = ie.load_network(network=net, device_name="AUTO")
exec_net = ie.load_network(network=net, device_name="AUTO", config={})
# Optional
# You can also specify the devices to be used by AUTO in its selection process.
# The following lines are equivalent:
exec_net = ie.load_network(network=net, device_name="AUTO:GPU,CPU")
exec_net = ie.load_network(network=net, device_name="AUTO", config={"MULTI_DEVICE_PRIORITIES": "GPU,CPU"})
# Optional
# the AUTO plugin is pre-configured (globally) with the explicit option:
ie.set_config(config={"MULTI_DEVICE_PRIORITIES":"GPU,CPU"}, device_name="AUTO");
#! [part1]
def part3():
#! [part3]
core = Core()
# Read a network in IR, PaddlePaddle, or ONNX format:
model = core.read_model(model_path)
# compile a model on AUTO with Performance Hints enabled:
# To use the “throughput” mode:
compiled_model = core.compile_model(model=model, device_name="AUTO", config={"PERFORMANCE_HINT":"THROUGHPUT"})
# or the “latency” mode:
compiled_model = core.compile_model(model=model, device_name="AUTO", config={"PERFORMANCE_HINT":"LATENCY"})
#! [part3]
def part4():
#! [part4]
core = Core()
model = core.read_model(model_path)
# Example 1
compiled_model0 = core.compile_model(model=model, device_name="AUTO", config={"MODEL_PRIORITY":"HIGH"})
compiled_model1 = core.compile_model(model=model, device_name="AUTO", config={"MODEL_PRIORITY":"MEDIUM"})
compiled_model2 = core.compile_model(model=model, device_name="AUTO", config={"MODEL_PRIORITY":"LOW"})
# Assume that all the devices (CPU, GPU, and MYRIAD) can support all the networks.
# Result: compiled_model0 will use GPU, compiled_model1 will use MYRIAD, compiled_model2 will use CPU.
# Example 2
compiled_model3 = core.compile_model(model=model, device_name="AUTO", config={"MODEL_PRIORITY":"HIGH"})
compiled_model4 = core.compile_model(model=model, device_name="AUTO", config={"MODEL_PRIORITY":"MEDIUM"})
compiled_model5 = core.compile_model(model=model, device_name="AUTO", config={"MODEL_PRIORITY":"LOW"})
# Assume that all the devices (CPU, GPU, and MYRIAD) can support all the networks.
# Result: compiled_model3 will use GPU, compiled_model4 will use GPU, compiled_model5 will use MYRIAD.
#! [part4]
def part5():
#! [part5]
core = Core()
model = core.read_model(model_path)
core.set_property(device_name="CPU", properties={})
core.set_property(device_name="MYRIAD", properties={})
compiled_model = core.compile_model(model=model)
compiled_model = core.compile_model(model=model, device_name="AUTO")
#! [part5]
def main():
part0()
part1()
part3()
part4()
part5()
if __name__ == '__main__':
sys.exit(main())
| 40.584906
| 119
| 0.714551
| 600
| 4,302
| 4.925
| 0.2
| 0.108291
| 0.085279
| 0.099492
| 0.775296
| 0.736717
| 0.72555
| 0.72555
| 0.701861
| 0.688325
| 0
| 0.009418
| 0.160855
| 4,302
| 105
| 120
| 40.971429
| 0.809141
| 0.311251
| 0
| 0.235294
| 0
| 0
| 0.187607
| 0.087641
| 0
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| 1
| 0.117647
| false
| 0
| 0.058824
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| null | 0
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| 0
| 0
| 0
| 0
|
0
| 5
|
d1399d747d019227c702ce6474a2c0eafb3612e8
| 20
|
py
|
Python
|
flask-rethink/env/lib/python3.5/site-packages/rethinkdb/version.py
|
HiroIshikawa/21playground
|
a203301d8fc4879ce817a3a879b8f2200710744c
|
[
"MIT"
] | 2
|
2016-04-03T06:30:45.000Z
|
2017-05-22T08:36:54.000Z
|
flask-rethink/env/lib/python3.5/site-packages/rethinkdb/version.py
|
HiroIshikawa/21playground
|
a203301d8fc4879ce817a3a879b8f2200710744c
|
[
"MIT"
] | null | null | null |
flask-rethink/env/lib/python3.5/site-packages/rethinkdb/version.py
|
HiroIshikawa/21playground
|
a203301d8fc4879ce817a3a879b8f2200710744c
|
[
"MIT"
] | null | null | null |
version = '2.2.0-2'
| 10
| 19
| 0.55
| 5
| 20
| 2.2
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.235294
| 0.15
| 20
| 1
| 20
| 20
| 0.411765
| 0
| 0
| 0
| 0
| 0
| 0.35
| 0
| 0
| 0
| 0
| 0
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| false
| 0
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| 1
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| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d14d9f9e49fb5c3e76783d0fd3e5460af29db7a6
| 606
|
py
|
Python
|
iotapy/storage/tangle.py
|
csfl/iota-python
|
f100369c6dd4cf8bf6edf1a3244e9769ff841feb
|
[
"MIT"
] | 34
|
2017-10-24T15:04:02.000Z
|
2021-09-05T17:46:43.000Z
|
iotapy/storage/tangle.py
|
csfl/iota-python
|
f100369c6dd4cf8bf6edf1a3244e9769ff841feb
|
[
"MIT"
] | 8
|
2017-12-18T21:53:08.000Z
|
2021-06-01T21:24:31.000Z
|
iotapy/storage/tangle.py
|
mlouielu/iota-python
|
f100369c6dd4cf8bf6edf1a3244e9769ff841feb
|
[
"MIT"
] | 11
|
2017-12-18T22:02:29.000Z
|
2020-11-10T17:58:22.000Z
|
# -*- coding: utf-8 -*-
import iota
from iotapy.storage.providers import rocksdb
class Tangle:
def __init__(self, provider):
self.provider = provider
self.provider.init()
def get(self, key, column):
return self.provider.get(key, column)
def first(self, column):
return self.provider.first(column)
def latest(self, column):
return self.provider.latest(column)
def save(self, key, value, column):
return self.provider.save(key, value, column)
def store(self, key, value, column):
self.provider.store(key, value, column)
| 23.307692
| 53
| 0.646865
| 77
| 606
| 5.038961
| 0.324675
| 0.247423
| 0.164948
| 0.247423
| 0.14433
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002155
| 0.234323
| 606
| 25
| 54
| 24.24
| 0.834052
| 0.034653
| 0
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| 1
| 0.375
| false
| 0
| 0.125
| 0.25
| 0.8125
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| null | 0
| 0
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| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
d1672e06e2bc0f15711e1db62f61e51846c43af5
| 142
|
py
|
Python
|
src/api/main.py
|
hvuhsg/yoyocoin
|
aad0f413479728dc4e0842447cf1910e5dff1418
|
[
"MIT"
] | 11
|
2021-05-25T07:42:27.000Z
|
2022-01-03T07:46:38.000Z
|
src/api/main.py
|
hvuhsg/yoyocoin
|
aad0f413479728dc4e0842447cf1910e5dff1418
|
[
"MIT"
] | 18
|
2021-05-25T17:42:46.000Z
|
2021-09-13T15:14:38.000Z
|
src/api/main.py
|
hvuhsg/yoyocoin
|
aad0f413479728dc4e0842447cf1910e5dff1418
|
[
"MIT"
] | 5
|
2021-06-23T17:38:51.000Z
|
2022-03-03T12:40:53.000Z
|
import uvicorn
from config import Config
from .api import app
def run():
uvicorn.run(app, host=Config.API_HOST, port=Config.API_PORT)
| 14.2
| 64
| 0.746479
| 23
| 142
| 4.521739
| 0.434783
| 0.173077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.161972
| 142
| 9
| 65
| 15.777778
| 0.87395
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| 1
| 0.2
| true
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| 0.6
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| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0f07ae9ab1e701fd335f5db581ad3e0aa801ddd3
| 46
|
py
|
Python
|
tests/__init__.py
|
vMarcelino/source-optimizer
|
f83ffd3cea190b11ddd966ffce53c66add329f5b
|
[
"MIT"
] | 1
|
2021-04-28T23:20:01.000Z
|
2021-04-28T23:20:01.000Z
|
tests/__init__.py
|
vMarcelino/source-optimizer
|
f83ffd3cea190b11ddd966ffce53c66add329f5b
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
vMarcelino/source-optimizer
|
f83ffd3cea190b11ddd966ffce53c66add329f5b
|
[
"MIT"
] | null | null | null |
"""Unit test package for source_optimizer."""
| 23
| 45
| 0.73913
| 6
| 46
| 5.5
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0.108696
| 46
| 1
| 46
| 46
| 0.804878
| 0.847826
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
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| 0
| 0
| 0
| 0
|
0
| 5
|
0f2e3f0be05464c71a4320a55ce8173f8b56f752
| 199
|
py
|
Python
|
src/python/txtai/api/routers/__init__.py
|
shinthor/txtai-1
|
20f0cbfca2b2cc3e62b8e9638cfc95f2e448c0a2
|
[
"Apache-2.0"
] | null | null | null |
src/python/txtai/api/routers/__init__.py
|
shinthor/txtai-1
|
20f0cbfca2b2cc3e62b8e9638cfc95f2e448c0a2
|
[
"Apache-2.0"
] | null | null | null |
src/python/txtai/api/routers/__init__.py
|
shinthor/txtai-1
|
20f0cbfca2b2cc3e62b8e9638cfc95f2e448c0a2
|
[
"Apache-2.0"
] | null | null | null |
"""
Router imports
"""
from . import embeddings
from . import extractor
from . import similarity
from . import summary
from . import textractor
from . import transcription
from . import translation
| 16.583333
| 27
| 0.768844
| 23
| 199
| 6.652174
| 0.478261
| 0.457516
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| 0.165829
| 199
| 11
| 28
| 18.090909
| 0.921687
| 0.070352
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| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
7e15ec6f5d19f6467a41fe717d7c04018ad5223a
| 124
|
py
|
Python
|
logic/Connector.py
|
YuriShporhun/TheCarMonitor
|
fd9bd436413ef1b70e9ded119bb5acd672f7316f
|
[
"Apache-2.0"
] | null | null | null |
logic/Connector.py
|
YuriShporhun/TheCarMonitor
|
fd9bd436413ef1b70e9ded119bb5acd672f7316f
|
[
"Apache-2.0"
] | null | null | null |
logic/Connector.py
|
YuriShporhun/TheCarMonitor
|
fd9bd436413ef1b70e9ded119bb5acd672f7316f
|
[
"Apache-2.0"
] | null | null | null |
class Connector:
def __init__(self):
self.connections = set()
def add_connection(self, url):
pass
| 15.5
| 34
| 0.604839
| 14
| 124
| 5
| 0.785714
| 0
| 0
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| 0
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| 0.298387
| 124
| 7
| 35
| 17.714286
| 0.804598
| 0
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| 0
| 0
| 0
| 1
| 0.4
| false
| 0.2
| 0
| 0
| 0.6
| 0
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| 0
| 0
| null | 0
| 0
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| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
7e28e91bfd659d0279f4c4525d32c1d4e79e0674
| 178
|
py
|
Python
|
Server/Python/src/dbs/dao/MySQL/File/List.py
|
vkuznet/DBS
|
14df8bbe8ee8f874fe423399b18afef911fe78c7
|
[
"Apache-2.0"
] | 8
|
2015-08-14T04:01:32.000Z
|
2021-06-03T00:56:42.000Z
|
Server/Python/src/dbs/dao/MySQL/File/List.py
|
yuyiguo/DBS
|
14df8bbe8ee8f874fe423399b18afef911fe78c7
|
[
"Apache-2.0"
] | 162
|
2015-01-07T21:34:47.000Z
|
2021-10-13T09:42:41.000Z
|
Server/Python/src/dbs/dao/MySQL/File/List.py
|
yuyiguo/DBS
|
14df8bbe8ee8f874fe423399b18afef911fe78c7
|
[
"Apache-2.0"
] | 16
|
2015-01-22T15:27:29.000Z
|
2021-04-28T09:23:28.000Z
|
#!/usr/bin/env python
"""
This module provides File.List data access object.
"""
from dbs.dao.Oracle.File.List import List as OraFileList
class List(OraFileList):
pass
| 17.8
| 56
| 0.719101
| 26
| 178
| 4.923077
| 0.807692
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168539
| 178
| 9
| 57
| 19.777778
| 0.864865
| 0.398876
| 0
| 0
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| 0
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| 0
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| 0
| 0
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| 0
| true
| 0.333333
| 0.333333
| 0
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| 0
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| null | 0
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| null | 0
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| 0
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| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
7e35bccf3e3f5e8276a29de06d704a540ea2db52
| 27,446
|
py
|
Python
|
places/countries.py
|
evrenesat/ganihomes
|
eece2d8d957989b176cc5a36d723f676862f8d17
|
[
"BSD-2-Clause"
] | 24
|
2016-08-06T18:10:54.000Z
|
2022-03-04T11:47:39.000Z
|
places/countries.py
|
evrenesat/ganihomes
|
eece2d8d957989b176cc5a36d723f676862f8d17
|
[
"BSD-2-Clause"
] | 1
|
2017-03-28T02:36:50.000Z
|
2017-03-28T07:18:57.000Z
|
places/countries.py
|
evrenesat/ganihomes
|
eece2d8d957989b176cc5a36d723f676862f8d17
|
[
"BSD-2-Clause"
] | 13
|
2017-03-28T02:35:32.000Z
|
2022-02-21T23:36:15.000Z
|
# -*- coding: utf-8 -*-
from django.utils.translation import ugettext_lazy as _
# Nicely titled (and translatable) country names.
COUNTRIES = (
('AF', _(u'Afghanistan')),
('AX', _(u'\xc5land Islands')),
('AL', _(u'Albania')),
('DZ', _(u'Algeria')),
('AS', _(u'American Samoa')),
('AD', _(u'Andorra')),
('AO', _(u'Angola')),
('AI', _(u'Anguilla')),
('AQ', _(u'Antarctica')),
('AG', _(u'Antigua and Barbuda')),
('AR', _(u'Argentina')),
('AM', _(u'Armenia')),
('AW', _(u'Aruba')),
('AU', _(u'Australia')),
('AT', _(u'Austria')),
('AZ', _(u'Azerbaijan')),
('BS', _(u'Bahamas')),
('BH', _(u'Bahrain')),
('BD', _(u'Bangladesh')),
('BB', _(u'Barbados')),
('BY', _(u'Belarus')),
('BE', _(u'Belgium')),
('BZ', _(u'Belize')),
('BJ', _(u'Benin')),
('BM', _(u'Bermuda')),
('BT', _(u'Bhutan')),
('BO', _(u'Bolivia, Plurinational State of')),
('BA', _(u'Bosnia and Herzegovina')),
('BW', _(u'Botswana')),
('BV', _(u'Bouvet Island')),
('BR', _(u'Brazil')),
('IO', _(u'British Indian Ocean Territory')),
('BN', _(u'Brunei Darussalam')),
('BG', _(u'Bulgaria')),
('BF', _(u'Burkina Faso')),
('BI', _(u'Burundi')),
('KH', _(u'Cambodia')),
('CM', _(u'Cameroon')),
('CA', _(u'Canada')),
('CV', _(u'Cape Verde')),
('KY', _(u'Cayman Islands')),
('CF', _(u'Central African Republic')),
('TD', _(u'Chad')),
('CL', _(u'Chile')),
('CN', _(u'China')),
('CX', _(u'Christmas Island')),
('CC', _(u'Cocos (Keeling) Islands')),
('CO', _(u'Colombia')),
('KM', _(u'Comoros')),
('CG', _(u'Congo')),
('CD', _(u'Congo, The Democratic Republic of the')),
('CK', _(u'Cook Islands')),
('CR', _(u'Costa Rica')),
('CI', _(u"C\xf4te D'ivoire")),
('HR', _(u'Croatia')),
('CU', _(u'Cuba')),
('CY', _(u'Cyprus')),
('CZ', _(u'Czech Republic')),
('DK', _(u'Denmark')),
('DJ', _(u'Djibouti')),
('DM', _(u'Dominica')),
('DO', _(u'Dominican Republic')),
('EC', _(u'Ecuador')),
('EG', _(u'Egypt')),
('SV', _(u'El Salvador')),
('GQ', _(u'Equatorial Guinea')),
('ER', _(u'Eritrea')),
('EE', _(u'Estonia')),
('ET', _(u'Ethiopia')),
('FK', _(u'Falkland Islands (Malvinas)')),
('FO', _(u'Faroe Islands')),
('FJ', _(u'Fiji')),
('FI', _(u'Finland')),
('FR', _(u'France')),
('GF', _(u'French Guiana')),
('PF', _(u'French Polynesia')),
('TF', _(u'French Southern Territories')),
('GA', _(u'Gabon')),
('GM', _(u'Gambia')),
('GE', _(u'Georgia')),
('DE', _(u'Germany')),
('GH', _(u'Ghana')),
('GI', _(u'Gibraltar')),
('GR', _(u'Greece')),
('GL', _(u'Greenland')),
('GD', _(u'Grenada')),
('GP', _(u'Guadeloupe')),
('GU', _(u'Guam')),
('GT', _(u'Guatemala')),
('GG', _(u'Guernsey')),
('GN', _(u'Guinea')),
('GW', _(u'Guinea-bissau')),
('GY', _(u'Guyana')),
('HT', _(u'Haiti')),
('HM', _(u'Heard Island and McDonald Islands')),
('VA', _(u'Holy See (Vatican City State)')),
('HN', _(u'Honduras')),
('HK', _(u'Hong Kong')),
('HU', _(u'Hungary')),
('IS', _(u'Iceland')),
('IN', _(u'India')),
('ID', _(u'Indonesia')),
('IR', _(u'Iran, Islamic Republic of')),
('IQ', _(u'Iraq')),
('IE', _(u'Ireland')),
('IM', _(u'Isle of Man')),
('IL', _(u'Israel')),
('IT', _(u'Italy')),
('JM', _(u'Jamaica')),
('JP', _(u'Japan')),
('JE', _(u'Jersey')),
('JO', _(u'Jordan')),
('KZ', _(u'Kazakhstan')),
('KE', _(u'Kenya')),
('KI', _(u'Kiribati')),
('KP', _(u"Korea, Democratic People's Republic of")),
('KR', _(u'Korea, Republic of')),
('KW', _(u'Kuwait')),
('KG', _(u'Kyrgyzstan')),
('LA', _(u"Lao People's Democratic Republic")),
('LV', _(u'Latvia')),
('LB', _(u'Lebanon')),
('LS', _(u'Lesotho')),
('LR', _(u'Liberia')),
('LY', _(u'Libyan Arab Jamahiriya')),
('LI', _(u'Liechtenstein')),
('LT', _(u'Lithuania')),
('LU', _(u'Luxembourg')),
('MO', _(u'Macao')),
('MK', _(u'Macedonia, The Former Yugoslav Republic of')),
('MG', _(u'Madagascar')),
('MW', _(u'Malawi')),
('MY', _(u'Malaysia')),
('MV', _(u'Maldives')),
('ML', _(u'Mali')),
('MT', _(u'Malta')),
('MH', _(u'Marshall Islands')),
('MQ', _(u'Martinique')),
('MR', _(u'Mauritania')),
('MU', _(u'Mauritius')),
('YT', _(u'Mayotte')),
('MX', _(u'Mexico')),
('FM', _(u'Micronesia, Federated States of')),
('MD', _(u'Moldova, Republic of')),
('MC', _(u'Monaco')),
('MN', _(u'Mongolia')),
('ME', _(u'Montenegro')),
('MS', _(u'Montserrat')),
('MA', _(u'Morocco')),
('MZ', _(u'Mozambique')),
('MM', _(u'Myanmar')),
('NA', _(u'Namibia')),
('NR', _(u'Nauru')),
('NP', _(u'Nepal')),
('NL', _(u'Netherlands')),
('AN', _(u'Netherlands Antilles')),
('NC', _(u'New Caledonia')),
('NZ', _(u'New Zealand')),
('NI', _(u'Nicaragua')),
('NE', _(u'Niger')),
('NG', _(u'Nigeria')),
('NU', _(u'Niue')),
('NF', _(u'Norfolk Island')),
('MP', _(u'Northern Mariana Islands')),
('NO', _(u'Norway')),
('OM', _(u'Oman')),
('PK', _(u'Pakistan')),
('PW', _(u'Palau')),
('PS', _(u'Palestinian Territory, Occupied')),
('PA', _(u'Panama')),
('PG', _(u'Papua New Guinea')),
('PY', _(u'Paraguay')),
('PE', _(u'Peru')),
('PH', _(u'Philippines')),
('PN', _(u'Pitcairn')),
('PL', _(u'Poland')),
('PT', _(u'Portugal')),
('PR', _(u'Puerto Rico')),
('QA', _(u'Qatar')),
('RE', _(u'R\xe9union')),
('RO', _(u'Romania')),
('RU', _(u'Russian Federation')),
('RW', _(u'Rwanda')),
('BL', _(u'Saint Barth\xe9lemy')),
('SH', _(u'Saint Helena')),
('KN', _(u'Saint Kitts and Nevis')),
('LC', _(u'Saint Lucia')),
('MF', _(u'Saint Martin')),
('PM', _(u'Saint Pierre and Miquelon')),
('VC', _(u'Saint Vincent and the Grenadines')),
('WS', _(u'Samoa')),
('SM', _(u'San Marino')),
('ST', _(u'Sao Tome and Principe')),
('SA', _(u'Saudi Arabia')),
('SN', _(u'Senegal')),
('RS', _(u'Serbia')),
('SC', _(u'Seychelles')),
('SL', _(u'Sierra Leone')),
('SG', _(u'Singapore')),
('SK', _(u'Slovakia')),
('SI', _(u'Slovenia')),
('SB', _(u'Solomon Islands')),
('SO', _(u'Somalia')),
('ZA', _(u'South Africa')),
('GS', _(u'South Georgia and the South Sandwich Islands')),
('ES', _(u'Spain')),
('LK', _(u'Sri Lanka')),
('SD', _(u'Sudan')),
('SR', _(u'Suriname')),
('SJ', _(u'Svalbard and Jan Mayen')),
('SZ', _(u'Swaziland')),
('SE', _(u'Sweden')),
('CH', _(u'Switzerland')),
('SY', _(u'Syrian Arab Republic')),
('TW', _(u'Taiwan, Province of China')),
('TJ', _(u'Tajikistan')),
('TZ', _(u'Tanzania, United Republic of')),
('TH', _(u'Thailand')),
('TL', _(u'Timor-leste')),
('TG', _(u'Togo')),
('TK', _(u'Tokelau')),
('TO', _(u'Tonga')),
('TT', _(u'Trinidad and Tobago')),
('TN', _(u'Tunisia')),
('TR', _(u'Turkey')),
('TM', _(u'Turkmenistan')),
('TC', _(u'Turks and Caicos Islands')),
('TV', _(u'Tuvalu')),
('UG', _(u'Uganda')),
('UA', _(u'Ukraine')),
('AE', _(u'United Arab Emirates')),
('GB', _(u'United Kingdom')),
('US', _(u'United States')),
('UM', _(u'United States Minor Outlying Islands')),
('UY', _(u'Uruguay')),
('UZ', _(u'Uzbekistan')),
('VU', _(u'Vanuatu')),
('VE', _(u'Venezuela, Bolivarian Republic of')),
('VN', _(u'Viet Nam')),
('VG', _(u'Virgin Islands, British')),
('VI', _(u'Virgin Islands, U.s.')),
('WF', _(u'Wallis and Futuna')),
('EH', _(u'Western Sahara')),
('YE', _(u'Yemen')),
('ZM', _(u'Zambia')),
('ZW', _(u'Zimbabwe')),
)
# Nicely titled country names with duplicates for those which contain a comma
# (containing the non-comma'd version).
COUNTRIES_PLUS = (
('AF', _(u'Afghanistan')),
('AX', _(u'\xc5land Islands')),
('AL', _(u'Albania')),
('DZ', _(u'Algeria')),
('AS', _(u'American Samoa')),
('AD', _(u'Andorra')),
('AO', _(u'Angola')),
('AI', _(u'Anguilla')),
('AQ', _(u'Antarctica')),
('AG', _(u'Antigua and Barbuda')),
('AR', _(u'Argentina')),
('AM', _(u'Armenia')),
('AW', _(u'Aruba')),
('AU', _(u'Australia')),
('AT', _(u'Austria')),
('AZ', _(u'Azerbaijan')),
('BS', _(u'Bahamas')),
('BH', _(u'Bahrain')),
('BD', _(u'Bangladesh')),
('BB', _(u'Barbados')),
('BY', _(u'Belarus')),
('BE', _(u'Belgium')),
('BZ', _(u'Belize')),
('BJ', _(u'Benin')),
('BM', _(u'Bermuda')),
('BT', _(u'Bhutan')),
('VE', _(u'Bolivarian Republic of Venezuela')),
('BO', _(u'Bolivia, Plurinational State of')),
('BA', _(u'Bosnia and Herzegovina')),
('BW', _(u'Botswana')),
('BV', _(u'Bouvet Island')),
('BR', _(u'Brazil')),
('IO', _(u'British Indian Ocean Territory')),
('VG', _(u'British Virgin Islands')),
('BN', _(u'Brunei Darussalam')),
('BG', _(u'Bulgaria')),
('BF', _(u'Burkina Faso')),
('BI', _(u'Burundi')),
('KH', _(u'Cambodia')),
('CM', _(u'Cameroon')),
('CA', _(u'Canada')),
('CV', _(u'Cape Verde')),
('KY', _(u'Cayman Islands')),
('CF', _(u'Central African Republic')),
('TD', _(u'Chad')),
('CL', _(u'Chile')),
('CN', _(u'China')),
('CX', _(u'Christmas Island')),
('CC', _(u'Cocos (Keeling) Islands')),
('CO', _(u'Colombia')),
('KM', _(u'Comoros')),
('CG', _(u'Congo')),
('CD', _(u'Congo, The Democratic Republic of the')),
('CK', _(u'Cook Islands')),
('CR', _(u'Costa Rica')),
('CI', _(u"C\xf4te D'ivoire")),
('HR', _(u'Croatia')),
('CU', _(u'Cuba')),
('CY', _(u'Cyprus')),
('CZ', _(u'Czech Republic')),
('KP', _(u"Democratic People's Republic of Korea")),
('DK', _(u'Denmark')),
('DJ', _(u'Djibouti')),
('DM', _(u'Dominica')),
('DO', _(u'Dominican Republic')),
('EC', _(u'Ecuador')),
('EG', _(u'Egypt')),
('SV', _(u'El Salvador')),
('GQ', _(u'Equatorial Guinea')),
('ER', _(u'Eritrea')),
('EE', _(u'Estonia')),
('ET', _(u'Ethiopia')),
('FK', _(u'Falkland Islands (Malvinas)')),
('FO', _(u'Faroe Islands')),
('FM', _(u'Federated States of Micronesia')),
('FJ', _(u'Fiji')),
('FI', _(u'Finland')),
('FR', _(u'France')),
('GF', _(u'French Guiana')),
('PF', _(u'French Polynesia')),
('TF', _(u'French Southern Territories')),
('GA', _(u'Gabon')),
('GM', _(u'Gambia')),
('GE', _(u'Georgia')),
('DE', _(u'Germany')),
('GH', _(u'Ghana')),
('GI', _(u'Gibraltar')),
('GR', _(u'Greece')),
('GL', _(u'Greenland')),
('GD', _(u'Grenada')),
('GP', _(u'Guadeloupe')),
('GU', _(u'Guam')),
('GT', _(u'Guatemala')),
('GG', _(u'Guernsey')),
('GN', _(u'Guinea')),
('GW', _(u'Guinea-bissau')),
('GY', _(u'Guyana')),
('HT', _(u'Haiti')),
('HM', _(u'Heard Island and McDonald Islands')),
('VA', _(u'Holy See (Vatican City State)')),
('HN', _(u'Honduras')),
('HK', _(u'Hong Kong')),
('HU', _(u'Hungary')),
('IS', _(u'Iceland')),
('IN', _(u'India')),
('ID', _(u'Indonesia')),
('IR', _(u'Iran, Islamic Republic of')),
('IQ', _(u'Iraq')),
('IE', _(u'Ireland')),
('IR', _(u'Islamic Republic of Iran')),
('IM', _(u'Isle of Man')),
('IL', _(u'Israel')),
('IT', _(u'Italy')),
('JM', _(u'Jamaica')),
('JP', _(u'Japan')),
('JE', _(u'Jersey')),
('JO', _(u'Jordan')),
('KZ', _(u'Kazakhstan')),
('KE', _(u'Kenya')),
('KI', _(u'Kiribati')),
('KP', _(u"Korea, Democratic People's Republic of")),
('KR', _(u'Korea, Republic of')),
('KW', _(u'Kuwait')),
('KG', _(u'Kyrgyzstan')),
('LA', _(u"Lao People's Democratic Republic")),
('LV', _(u'Latvia')),
('LB', _(u'Lebanon')),
('LS', _(u'Lesotho')),
('LR', _(u'Liberia')),
('LY', _(u'Libyan Arab Jamahiriya')),
('LI', _(u'Liechtenstein')),
('LT', _(u'Lithuania')),
('LU', _(u'Luxembourg')),
('MO', _(u'Macao')),
('MK', _(u'Macedonia, The Former Yugoslav Republic of')),
('MG', _(u'Madagascar')),
('MW', _(u'Malawi')),
('MY', _(u'Malaysia')),
('MV', _(u'Maldives')),
('ML', _(u'Mali')),
('MT', _(u'Malta')),
('MH', _(u'Marshall Islands')),
('MQ', _(u'Martinique')),
('MR', _(u'Mauritania')),
('MU', _(u'Mauritius')),
('YT', _(u'Mayotte')),
('MX', _(u'Mexico')),
('FM', _(u'Micronesia, Federated States of')),
('MD', _(u'Moldova, Republic of')),
('MC', _(u'Monaco')),
('MN', _(u'Mongolia')),
('ME', _(u'Montenegro')),
('MS', _(u'Montserrat')),
('MA', _(u'Morocco')),
('MZ', _(u'Mozambique')),
('MM', _(u'Myanmar')),
('NA', _(u'Namibia')),
('NR', _(u'Nauru')),
('NP', _(u'Nepal')),
('NL', _(u'Netherlands')),
('AN', _(u'Netherlands Antilles')),
('NC', _(u'New Caledonia')),
('NZ', _(u'New Zealand')),
('NI', _(u'Nicaragua')),
('NE', _(u'Niger')),
('NG', _(u'Nigeria')),
('NU', _(u'Niue')),
('NF', _(u'Norfolk Island')),
('MP', _(u'Northern Mariana Islands')),
('NO', _(u'Norway')),
('PS', _(u'Occupied Palestinian Territory')),
('OM', _(u'Oman')),
('PK', _(u'Pakistan')),
('PW', _(u'Palau')),
('PS', _(u'Palestinian Territory, Occupied')),
('PA', _(u'Panama')),
('PG', _(u'Papua New Guinea')),
('PY', _(u'Paraguay')),
('PE', _(u'Peru')),
('PH', _(u'Philippines')),
('PN', _(u'Pitcairn')),
('BO', _(u'Plurinational State of Bolivia')),
('PL', _(u'Poland')),
('PT', _(u'Portugal')),
('TW', _(u'Province of China Taiwan')),
('PR', _(u'Puerto Rico')),
('QA', _(u'Qatar')),
('KR', _(u'Republic of Korea')),
('MD', _(u'Republic of Moldova')),
('RE', _(u'R\xe9union')),
('RO', _(u'Romania')),
('RU', _(u'Russian Federation')),
('RW', _(u'Rwanda')),
('BL', _(u'Saint Barth\xe9lemy')),
('SH', _(u'Saint Helena')),
('KN', _(u'Saint Kitts and Nevis')),
('LC', _(u'Saint Lucia')),
('MF', _(u'Saint Martin')),
('PM', _(u'Saint Pierre and Miquelon')),
('VC', _(u'Saint Vincent and the Grenadines')),
('WS', _(u'Samoa')),
('SM', _(u'San Marino')),
('ST', _(u'Sao Tome and Principe')),
('SA', _(u'Saudi Arabia')),
('SN', _(u'Senegal')),
('RS', _(u'Serbia')),
('SC', _(u'Seychelles')),
('SL', _(u'Sierra Leone')),
('SG', _(u'Singapore')),
('SK', _(u'Slovakia')),
('SI', _(u'Slovenia')),
('SB', _(u'Solomon Islands')),
('SO', _(u'Somalia')),
('ZA', _(u'South Africa')),
('GS', _(u'South Georgia and the South Sandwich Islands')),
('ES', _(u'Spain')),
('LK', _(u'Sri Lanka')),
('SD', _(u'Sudan')),
('SR', _(u'Suriname')),
('SJ', _(u'Svalbard and Jan Mayen')),
('SZ', _(u'Swaziland')),
('SE', _(u'Sweden')),
('CH', _(u'Switzerland')),
('SY', _(u'Syrian Arab Republic')),
('TW', _(u'Taiwan, Province of China')),
('TJ', _(u'Tajikistan')),
('TZ', _(u'Tanzania, United Republic of')),
('TH', _(u'Thailand')),
('CD', _(u'The Democratic Republic of the Congo')),
('MK', _(u'The Former Yugoslav Republic of Macedonia')),
('TL', _(u'Timor-leste')),
('TG', _(u'Togo')),
('TK', _(u'Tokelau')),
('TO', _(u'Tonga')),
('TT', _(u'Trinidad and Tobago')),
('TN', _(u'Tunisia')),
('TR', _(u'Turkey')),
('TM', _(u'Turkmenistan')),
('TC', _(u'Turks and Caicos Islands')),
('TV', _(u'Tuvalu')),
('VI', _(u'U.s. Virgin Islands')),
('UG', _(u'Uganda')),
('UA', _(u'Ukraine')),
('AE', _(u'United Arab Emirates')),
('GB', _(u'United Kingdom')),
('TZ', _(u'United Republic of Tanzania')),
('US', _(u'United States')),
('UM', _(u'United States Minor Outlying Islands')),
('UY', _(u'Uruguay')),
('UZ', _(u'Uzbekistan')),
('VU', _(u'Vanuatu')),
('VE', _(u'Venezuela, Bolivarian Republic of')),
('VN', _(u'Viet Nam')),
('VG', _(u'Virgin Islands, British')),
('VI', _(u'Virgin Islands, U.s.')),
('WF', _(u'Wallis and Futuna')),
('EH', _(u'Western Sahara')),
('YE', _(u'Yemen')),
('ZM', _(u'Zambia')),
('ZW', _(u'Zimbabwe')),
)
# Official capitalized country names.
OFFICIAL_COUNTRIES = {
'AF': u'AFGHANISTAN',
'AX': u'\xc5LAND ISLANDS',
'AL': u'ALBANIA',
'DZ': u'ALGERIA',
'AS': u'AMERICAN SAMOA',
'AD': u'ANDORRA',
'AO': u'ANGOLA',
'AI': u'ANGUILLA',
'AQ': u'ANTARCTICA',
'AG': u'ANTIGUA AND BARBUDA',
'AR': u'ARGENTINA',
'AM': u'ARMENIA',
'AW': u'ARUBA',
'AU': u'AUSTRALIA',
'AT': u'AUSTRIA',
'AZ': u'AZERBAIJAN',
'BS': u'BAHAMAS',
'BH': u'BAHRAIN',
'BD': u'BANGLADESH',
'BB': u'BARBADOS',
'BY': u'BELARUS',
'BE': u'BELGIUM',
'BZ': u'BELIZE',
'BJ': u'BENIN',
'BM': u'BERMUDA',
'BT': u'BHUTAN',
'BO': u'BOLIVIA, PLURINATIONAL STATE OF',
'BA': u'BOSNIA AND HERZEGOVINA',
'BW': u'BOTSWANA',
'BV': u'BOUVET ISLAND',
'BR': u'BRAZIL',
'IO': u'BRITISH INDIAN OCEAN TERRITORY',
'BN': u'BRUNEI DARUSSALAM',
'BG': u'BULGARIA',
'BF': u'BURKINA FASO',
'BI': u'BURUNDI',
'KH': u'CAMBODIA',
'CM': u'CAMEROON',
'CA': u'CANADA',
'CV': u'CAPE VERDE',
'KY': u'CAYMAN ISLANDS',
'CF': u'CENTRAL AFRICAN REPUBLIC',
'TD': u'CHAD',
'CL': u'CHILE',
'CN': u'CHINA',
'CX': u'CHRISTMAS ISLAND',
'CC': u'COCOS (KEELING) ISLANDS',
'CO': u'COLOMBIA',
'KM': u'COMOROS',
'CG': u'CONGO',
'CD': u'CONGO, THE DEMOCRATIC REPUBLIC OF THE',
'CK': u'COOK ISLANDS',
'CR': u'COSTA RICA',
'CI': u"C\xd4TE D'IVOIRE",
'HR': u'CROATIA',
'CU': u'CUBA',
'CY': u'CYPRUS',
'CZ': u'CZECH REPUBLIC',
'DK': u'DENMARK',
'DJ': u'DJIBOUTI',
'DM': u'DOMINICA',
'DO': u'DOMINICAN REPUBLIC',
'EC': u'ECUADOR',
'EG': u'EGYPT',
'SV': u'EL SALVADOR',
'GQ': u'EQUATORIAL GUINEA',
'ER': u'ERITREA',
'EE': u'ESTONIA',
'ET': u'ETHIOPIA',
'FK': u'FALKLAND ISLANDS (MALVINAS)',
'FO': u'FAROE ISLANDS',
'FJ': u'FIJI',
'FI': u'FINLAND',
'FR': u'FRANCE',
'GF': u'FRENCH GUIANA',
'PF': u'FRENCH POLYNESIA',
'TF': u'FRENCH SOUTHERN TERRITORIES',
'GA': u'GABON',
'GM': u'GAMBIA',
'GE': u'GEORGIA',
'DE': u'GERMANY',
'GH': u'GHANA',
'GI': u'GIBRALTAR',
'GR': u'GREECE',
'GL': u'GREENLAND',
'GD': u'GRENADA',
'GP': u'GUADELOUPE',
'GU': u'GUAM',
'GT': u'GUATEMALA',
'GG': u'GUERNSEY',
'GN': u'GUINEA',
'GW': u'GUINEA-BISSAU',
'GY': u'GUYANA',
'HT': u'HAITI',
'HM': u'HEARD ISLAND AND MCDONALD ISLANDS',
'VA': u'HOLY SEE (VATICAN CITY STATE)',
'HN': u'HONDURAS',
'HK': u'HONG KONG',
'HU': u'HUNGARY',
'IS': u'ICELAND',
'IN': u'INDIA',
'ID': u'INDONESIA',
'IR': u'IRAN, ISLAMIC REPUBLIC OF',
'IQ': u'IRAQ',
'IE': u'IRELAND',
'IM': u'ISLE OF MAN',
'IL': u'ISRAEL',
'IT': u'ITALY',
'JM': u'JAMAICA',
'JP': u'JAPAN',
'JE': u'JERSEY',
'JO': u'JORDAN',
'KZ': u'KAZAKHSTAN',
'KE': u'KENYA',
'KI': u'KIRIBATI',
'KP': u"KOREA, DEMOCRATIC PEOPLE'S REPUBLIC OF",
'KR': u'KOREA, REPUBLIC OF',
'KW': u'KUWAIT',
'KG': u'KYRGYZSTAN',
'LA': u"LAO PEOPLE'S DEMOCRATIC REPUBLIC",
'LV': u'LATVIA',
'LB': u'LEBANON',
'LS': u'LESOTHO',
'LR': u'LIBERIA',
'LY': u'LIBYAN ARAB JAMAHIRIYA',
'LI': u'LIECHTENSTEIN',
'LT': u'LITHUANIA',
'LU': u'LUXEMBOURG',
'MO': u'MACAO',
'MK': u'MACEDONIA, THE FORMER YUGOSLAV REPUBLIC OF',
'MG': u'MADAGASCAR',
'MW': u'MALAWI',
'MY': u'MALAYSIA',
'MV': u'MALDIVES',
'ML': u'MALI',
'MT': u'MALTA',
'MH': u'MARSHALL ISLANDS',
'MQ': u'MARTINIQUE',
'MR': u'MAURITANIA',
'MU': u'MAURITIUS',
'YT': u'MAYOTTE',
'MX': u'MEXICO',
'FM': u'MICRONESIA, FEDERATED STATES OF',
'MD': u'MOLDOVA, REPUBLIC OF',
'MC': u'MONACO',
'MN': u'MONGOLIA',
'ME': u'MONTENEGRO',
'MS': u'MONTSERRAT',
'MA': u'MOROCCO',
'MZ': u'MOZAMBIQUE',
'MM': u'MYANMAR',
'NA': u'NAMIBIA',
'NR': u'NAURU',
'NP': u'NEPAL',
'NL': u'NETHERLANDS',
'AN': u'NETHERLANDS ANTILLES',
'NC': u'NEW CALEDONIA',
'NZ': u'NEW ZEALAND',
'NI': u'NICARAGUA',
'NE': u'NIGER',
'NG': u'NIGERIA',
'NU': u'NIUE',
'NF': u'NORFOLK ISLAND',
'MP': u'NORTHERN MARIANA ISLANDS',
'NO': u'NORWAY',
'OM': u'OMAN',
'PK': u'PAKISTAN',
'PW': u'PALAU',
'PS': u'PALESTINIAN TERRITORY, OCCUPIED',
'PA': u'PANAMA',
'PG': u'PAPUA NEW GUINEA',
'PY': u'PARAGUAY',
'PE': u'PERU',
'PH': u'PHILIPPINES',
'PN': u'PITCAIRN',
'PL': u'POLAND',
'PT': u'PORTUGAL',
'PR': u'PUERTO RICO',
'QA': u'QATAR',
'RE': u'R\xc9UNION',
'RO': u'ROMANIA',
'RU': u'RUSSIAN FEDERATION',
'RW': u'RWANDA',
'BL': u'SAINT BARTH\xc9LEMY',
'SH': u'SAINT HELENA',
'KN': u'SAINT KITTS AND NEVIS',
'LC': u'SAINT LUCIA',
'MF': u'SAINT MARTIN',
'PM': u'SAINT PIERRE AND MIQUELON',
'VC': u'SAINT VINCENT AND THE GRENADINES',
'WS': u'SAMOA',
'SM': u'SAN MARINO',
'ST': u'SAO TOME AND PRINCIPE',
'SA': u'SAUDI ARABIA',
'SN': u'SENEGAL',
'RS': u'SERBIA',
'SC': u'SEYCHELLES',
'SL': u'SIERRA LEONE',
'SG': u'SINGAPORE',
'SK': u'SLOVAKIA',
'SI': u'SLOVENIA',
'SB': u'SOLOMON ISLANDS',
'SO': u'SOMALIA',
'ZA': u'SOUTH AFRICA',
'GS': u'SOUTH GEORGIA AND THE SOUTH SANDWICH ISLANDS',
'ES': u'SPAIN',
'LK': u'SRI LANKA',
'SD': u'SUDAN',
'SR': u'SURINAME',
'SJ': u'SVALBARD AND JAN MAYEN',
'SZ': u'SWAZILAND',
'SE': u'SWEDEN',
'CH': u'SWITZERLAND',
'SY': u'SYRIAN ARAB REPUBLIC',
'TW': u'TAIWAN, PROVINCE OF CHINA',
'TJ': u'TAJIKISTAN',
'TZ': u'TANZANIA, UNITED REPUBLIC OF',
'TH': u'THAILAND',
'TL': u'TIMOR-LESTE',
'TG': u'TOGO',
'TK': u'TOKELAU',
'TO': u'TONGA',
'TT': u'TRINIDAD AND TOBAGO',
'TN': u'TUNISIA',
'TR': u'TURKEY',
'TM': u'TURKMENISTAN',
'TC': u'TURKS AND CAICOS ISLANDS',
'TV': u'TUVALU',
'UG': u'UGANDA',
'UA': u'UKRAINE',
'AE': u'UNITED ARAB EMIRATES',
'GB': u'UNITED KINGDOM',
'US': u'UNITED STATES',
'UM': u'UNITED STATES MINOR OUTLYING ISLANDS',
'UY': u'URUGUAY',
'UZ': u'UZBEKISTAN',
'VU': u'VANUATU',
'VE': u'VENEZUELA, BOLIVARIAN REPUBLIC OF',
'VN': u'VIET NAM',
'VG': u'VIRGIN ISLANDS, BRITISH',
'VI': u'VIRGIN ISLANDS, U.S.',
'WF': u'WALLIS AND FUTUNA',
'EH': u'WESTERN SAHARA',
'YE': u'YEMEN',
'ZM': u'ZAMBIA',
'ZW': u'ZIMBABWE',
}
OFFICIAL_COUNTRIES_DICT = dict(OFFICIAL_COUNTRIES)
COUNTRIES_DICT = dict(COUNTRIES)
LANGUAGES = (('aa',_(u'Afar')),
('ab',_(u'Abkhazian')),
('ae',_(u'Avestan')),
('af',_(u'Afrikaans')),
('ak',_(u'Akan')),
('am',_(u'Amharic')),
('an',_(u'Aragonese')),
('ar',_(u'Arabic')),
('as',_(u'Assamese')),
('av',_(u'Avaric')),
('ay',_(u'Aymara')),
('az',_(u'Azerbaijani')),
('ba',_(u'Bashkir')),
('be',_(u'Belarusian')),
('bg',_(u'Bulgarian')),
('bh',_(u'Bihari')),
('bi',_(u'Bislama')),
('bm',_(u'Bambara')),
('bn',_(u'Bengali; Bangla')),
('bo',_(u'Tibetan')),
('br',_(u'Breton')),
('bs',_(u'Bosnian')),
('ca',_(u'Catalan')),
('ce',_(u'Chechen')),
('ch',_(u'Chamorro')),
('co',_(u'Corsican')),
('cr',_(u'Cree')),
('cs',_(u'Czech')),
('cu',_(u'Church Slavic')),
('cv',_(u'Chuvash')),
('cy',_(u'Welsh')),
('da',_(u'Danish')),
('de',_(u'German')),
('dv',_(u'Divehi; Maldivian')),
('dz',_(u'Dzongkha; Bhutani')),
('ee',_(u'Éwé')),
('el',_(u'Greek')),
('en',_(u'English')),
('eo',_(u'Esperanto')),
('es',_(u'Spanish')),
('et',_(u'Estonian')),
('eu',_(u'Basque')),
('fa',_(u'Persian')),
('ff',_(u'Fulah')),
('fi',_(u'Finnish')),
('fj',_(u'Fijian; Fiji')),
('fo',_(u'Faroese')),
('fr',_(u'French')),
('fy',_(u'Western Frisian')),
('ga',_(u'Irish')),
('gd',_(u'Scottish Gaelic')),
('gl',_(u'Galician')),
('gn',_(u'Guarani')),
('gu',_(u'Gujarati')),
('gv',_(u'Manx')),
('ha',_(u'Hausa')),
('he',_(u'Hebrew (formerly iw)')),
('hi',_(u'Hindi')),
('ho',_(u'Hiri Motu')),
('hr',_(u'Croatian')),
('ht',_(u'Haitian; Haitian Creole')),
('hu',_(u'Hungarian')),
('hy',_(u'Armenian')),
('hz',_(u'Herero')),
('ia',_(u'Interlingua')),
('id',_(u'Indonesian (formerly in)')),
('ie',_(u'Interlingue; Occidental')),
('ig',_(u'Igbo')),
('ii',_(u'Sichuan Yi; Nuosu')),
('ik',_(u'Inupiak; Inupiaq')),
('io',_(u'Ido')),
('is',_(u'Icelandic')),
('it',_(u'Italian')),
('iu',_(u'Inuktitut')),
('ja',_(u'Japanese')),
('jv',_(u'Javanese')),
('ka',_(u'Georgian')),
('kg',_(u'Kongo')),
('ki',_(u'Kikuyu; Gikuyu')),
('kj',_(u'Kuanyama; Kwanyama')),
('kk',_(u'Kazakh')),
('kl',_(u'Kalaallisut; Greenlandic')),
('km',_(u'Central Khmer; Cambodian')),
('kn',_(u'Kannada')),
('ko',_(u'Korean')),
('kr',_(u'Kanuri')),
('ks',_(u'Kashmiri')),
('ku',_(u'Kurdish')),
('kv',_(u'Komi')),
('kw',_(u'Cornish')),
('ky',_(u'Kirghiz')),
('la',_(u'Latin')),
('lb',_(u'Letzeburgesch; Luxembourgish')),
('lg',_(u'Ganda')),
('li',_(u'Limburgish; Limburger; Limburgan')),
('ln',_(u'Lingala')),
('lo',_(u'Lao; Laotian')),
('lt',_(u'Lithuanian')),
('lu',_(u'Luba-Katanga')),
('lv',_(u'Latvian; Lettish')),
('mg',_(u'Malagasy')),
('mh',_(u'Marshallese')),
('mi',_(u'Maori')),
('mk',_(u'Macedonian')),
('ml',_(u'Malayalam')),
('mn',_(u'Mongolian')),
('mo',_(u'Moldavian')),
('mr',_(u'Marathi')),
('ms',_(u'Malay')),
('mt',_(u'Maltese')),
('my',_(u'Burmese')),
('na',_(u'Nauru')),
('nb',_(u'Norwegian Bokmål')),
('nd',_(u'Ndebele, North')),
('ne',_(u'Nepali')),
('ng',_(u'Ndonga')),
('nl',_(u'Dutch')),
('nn',_(u'Norwegian Nynorsk')),
('no',_(u'Norwegian')),
('nr',_(u'Ndebele, South')),
('nv',_(u'Navajo; Navaho')),
('ny',_(u'Chichewa; Nyanja')),
('oc',_(u'Occitan; Provençal')),
('oj',_(u'Ojibwa')),
('om',_(u'(Afan) Oromo')),
('or',_(u'Oriya')),
('os',_(u'Ossetian; Ossetic')),
('pa',_(u'Panjabi; Punjabi')),
('pi',_(u'Pali')),
('pl',_(u'Polish')),
('ps',_(u'Pashto; Pushto')),
('pt',_(u'Portuguese')),
('qu',_(u'Quechua')),
('rm',_(u'Romansh')),
('rn',_(u'Rundi; Kirundi')),
('ro',_(u'Romanian')),
('ru',_(u'Russian')),
('rw',_(u'Kinyarwanda')),
('sa',_(u'Sanskrit')),
('sc',_(u'Sardinian')),
('sd',_(u'Sindhi')),
('se',_(u'Northern Sami')),
('sg',_(u'Sango; Sangro')),
('si',_(u'Sinhala; Sinhalese')),
('sk',_(u'Slovak')),
('sl',_(u'Slovenian')),
('sm',_(u'Samoan')),
('sn',_(u'Shona')),
('so',_(u'Somali')),
('sq',_(u'Albanian')),
('sr',_(u'Serbian')),
('ss',_(u'Swati; Siswati')),
('st',_(u'Sesotho; Sotho, Southern')),
('su',_(u'Sundanese')),
('sv',_(u'Swedish')),
('sw',_(u'Swahili')),
('ta',_(u'Tamil')),
('te',_(u'Telugu')),
('tg',_(u'Tajik')),
('th',_(u'Thai')),
('ti',_(u'Tigrinya')),
('tk',_(u'Turkmen')),
('tl',_(u'Tagalog')),
('tn',_(u'Tswana; Setswana')),
('to',_(u'Tonga')),
('tr',_(u'Turkish')),
('ts',_(u'Tsonga')),
('tt',_(u'Tatar')),
('tw',_(u'Twi')),
('ty',_(u'Tahitian')),
('ug',_(u'Uighur')),
('uk',_(u'Ukrainian')),
('ur',_(u'Urdu')),
('uz',_(u'Uzbek')),
('ve',_(u'Venda')),
('vi',_(u'Vietnamese')),
('vo',_(u'Volapük; Volapuk')),
('wa',_(u'Walloon')),
('wo',_(u'Wolof')),
('xh',_(u'Xhosa')),
('yi',_(u'Yiddish (formerly ji)')),
('yo',_(u'Yoruba')),
('za',_(u'Zhuang')),
('zh',_(u'Chinese')),
('zu',_(u'Zulu')) )
LANG_DICT = dict(LANGUAGES)
| 28.619395
| 77
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0
| 5
|
7e49cc5763d7d053a1615a092745f24d473933c1
| 93
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py
|
Python
|
wsgi.py
|
NUKnightLab/slackdice
|
d6d4925fd4437902174f27fe098632c7d831ea99
|
[
"MIT"
] | 3
|
2016-06-26T01:53:34.000Z
|
2019-09-02T06:00:13.000Z
|
wsgi.py
|
NUKnightLab/slackdice
|
d6d4925fd4437902174f27fe098632c7d831ea99
|
[
"MIT"
] | 2
|
2016-03-21T22:37:36.000Z
|
2016-03-24T17:02:58.000Z
|
wsgi.py
|
NUKnightLab/slackdice
|
d6d4925fd4437902174f27fe098632c7d831ea99
|
[
"MIT"
] | null | null | null |
import os
import site
import sys
sys.stdout = sys.stderr
from app import app as application
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| 34
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0
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7e4c4d0748c8bc336ae30e7feb9fda9ce77d0b43
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py
|
Python
|
packages/watchmen-inquiry-kernel/src/watchmen_inquiry_kernel/common/exception.py
|
Indexical-Metrics-Measure-Advisory/watchmen
|
c54ec54d9f91034a38e51fd339ba66453d2c7a6d
|
[
"MIT"
] | null | null | null |
packages/watchmen-inquiry-kernel/src/watchmen_inquiry_kernel/common/exception.py
|
Indexical-Metrics-Measure-Advisory/watchmen
|
c54ec54d9f91034a38e51fd339ba66453d2c7a6d
|
[
"MIT"
] | null | null | null |
packages/watchmen-inquiry-kernel/src/watchmen_inquiry_kernel/common/exception.py
|
Indexical-Metrics-Measure-Advisory/watchmen
|
c54ec54d9f91034a38e51fd339ba66453d2c7a6d
|
[
"MIT"
] | null | null | null |
class InquiryKernelException(Exception):
pass
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0
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|
0e55971bd85cff6a46242e2acdcdaea5486f401e
| 118
|
py
|
Python
|
OCRLibrary/utils/imageprocessing/__init__.py
|
bendurston/robotframework-ocrlibrary
|
da310346a60260165118cba112995e58ebb3a103
|
[
"Apache-2.0"
] | 5
|
2021-05-19T07:09:43.000Z
|
2022-02-10T16:33:05.000Z
|
OCRLibrary/utils/imageprocessing/__init__.py
|
bendurston/robotframework-ocrlibrary
|
da310346a60260165118cba112995e58ebb3a103
|
[
"Apache-2.0"
] | 3
|
2021-05-19T07:15:28.000Z
|
2021-05-23T20:12:41.000Z
|
OCRLibrary/utils/imageprocessing/__init__.py
|
bendurston/robotframework-ocrlibrary
|
da310346a60260165118cba112995e58ebb3a103
|
[
"Apache-2.0"
] | 1
|
2021-05-19T07:10:03.000Z
|
2021-05-19T07:10:03.000Z
|
"""
imageprocessing module
"""
__all__ = ['imagetransformation', 'image_processing_gray', 'image_processing_colour']
| 19.666667
| 85
| 0.771186
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0
| 5
|
0e85bd2ce13a76cb2105ebfa2ad182522142f955
| 209
|
py
|
Python
|
codewars/8kyu/doha22/kata8/reverse_order/test.py
|
doha22/Training_one
|
0cd7cf86c7da0f6175834146296b763d1841766b
|
[
"MIT"
] | null | null | null |
codewars/8kyu/doha22/kata8/reverse_order/test.py
|
doha22/Training_one
|
0cd7cf86c7da0f6175834146296b763d1841766b
|
[
"MIT"
] | 2
|
2019-01-22T10:53:42.000Z
|
2019-01-31T08:02:48.000Z
|
codewars/8kyu/doha22/kata8/reverse_order/test.py
|
doha22/Training_one
|
0cd7cf86c7da0f6175834146296b763d1841766b
|
[
"MIT"
] | 13
|
2019-01-22T10:37:42.000Z
|
2019-01-25T13:30:43.000Z
|
import unittest
from reverse_order import reverse_list
def test_reverse_list(benchmark):
assert benchmark(reverse_list, [1,2,3,4]) == [4,3,2,1]
assert benchmark(reverse_list,[3,1,5,4] ) == [4,5,1,3]
| 29.857143
| 59
| 0.708134
| 37
| 209
| 3.837838
| 0.405405
| 0.309859
| 0.309859
| 0.366197
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088398
| 0.133971
| 209
| 6
| 60
| 34.833333
| 0.696133
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.4
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.6
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
0e9681a3168fd52a5453bd7276e6aaf445b42b0f
| 146
|
py
|
Python
|
Module-15-Exceptions/exceptions02-errors.py
|
CodingGearsCourses/PythonProgrammingFundamentals
|
40e562e143802d997e1f0129bc8b52d5d0931728
|
[
"MIT"
] | 1
|
2021-12-23T07:52:08.000Z
|
2021-12-23T07:52:08.000Z
|
Module-15-Exceptions/exceptions02-errors.py
|
CodingGearsCourses/PythonProgrammingFundamentals
|
40e562e143802d997e1f0129bc8b52d5d0931728
|
[
"MIT"
] | null | null | null |
Module-15-Exceptions/exceptions02-errors.py
|
CodingGearsCourses/PythonProgrammingFundamentals
|
40e562e143802d997e1f0129bc8b52d5d0931728
|
[
"MIT"
] | null | null | null |
# Error: List
animals = ['dog', 'cat', 'hen', 'fox', 'elephant', 'snake', 'pig']
print('Second : ', animals[1])
print('Second : ', animals[7])
| 18.25
| 66
| 0.561644
| 18
| 146
| 4.555556
| 0.777778
| 0.268293
| 0.439024
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01626
| 0.157534
| 146
| 7
| 67
| 20.857143
| 0.650407
| 0.075342
| 0
| 0
| 0
| 0
| 0.348485
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.666667
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
0e97d90a702d07b65bf49171a844a12e3ab72c3b
| 3,847
|
py
|
Python
|
tests/test_download_multi_shot.py
|
waider/gopro-py-api
|
b18b5458f5bbe689f468842d6888104317786de8
|
[
"MIT"
] | 1
|
2019-05-06T21:48:54.000Z
|
2019-05-06T21:48:54.000Z
|
tests/test_download_multi_shot.py
|
waider/gopro-py-api
|
b18b5458f5bbe689f468842d6888104317786de8
|
[
"MIT"
] | null | null | null |
tests/test_download_multi_shot.py
|
waider/gopro-py-api
|
b18b5458f5bbe689f468842d6888104317786de8
|
[
"MIT"
] | null | null | null |
from .conftest import GoProCameraTest
from goprocam import GoProCamera
import json
class DownloadMultiShotTest(GoProCameraTest):
def test_download_multi_shot_empty(self):
with self.monkeypatch.context() as m:
def downloadmedia_verify(self, folder, f):
# even with an empty device it tries to download one file
assert folder == ''
assert f == '0.JPG'
m.setattr(GoProCamera.GoPro, 'downloadMedia', downloadmedia_verify)
m.setattr(GoProCamera.GoPro, 'listMedia', lambda s: '{"media":[]}')
self.goprocam.downloadMultiShot()
def test_download_multi_shot(self):
with self.monkeypatch.context() as m:
def downloadmedia_verify(self, folder, f):
assert folder == ''
assert f in ['0.JPG', '1.JPG', '2.JPG']
m.setattr(GoProCamera.GoPro, 'downloadMedia', downloadmedia_verify)
m.setattr(GoProCamera.GoPro, 'listMedia', lambda s: json.dumps(
{
"media": [
{
'd': '',
'fs': [
{
'n': '',
'b': 0,
'l': 2,
},
{
'n': 'file2',
'b': 1,
'l': 7
}
]
},
{
'd': 'f2',
'fs': [
{
'n': '',
'b': 0,
'l': 2,
}
]
}
]
}
))
self.goprocam.downloadMultiShot()
def test_download_multi_shot_path_empty(self):
with self.monkeypatch.context() as m:
def downloadmedia_verify(self, folder, f):
assert folder == ''
assert f == '0.JPG'
m.setattr(GoProCamera.GoPro, 'downloadMedia', downloadmedia_verify)
m.setattr(GoProCamera.GoPro, 'listMedia', lambda s: '{"media":[]}')
# this basically does the same as the 'empty' test
self.goprocam.downloadMultiShot(path='/')
def test_download_multi_shot_path(self):
with self.monkeypatch.context() as m:
def downloadmedia_verify(self, folder, f):
assert folder == ''
assert f in ['0.JPG', '1.JPG', '2.JPG']
m.setattr(GoProCamera.GoPro, 'downloadMedia', downloadmedia_verify)
m.setattr(GoProCamera.GoPro, 'listMedia', lambda s: json.dumps(
{
"media": [
{
'd': '',
'fs': [
{
'n': '',
'b': 0,
'l': 2,
},
{
'n': 'file2',
'b': 1,
'l': 7
}
],
},
{
'd': 'folder2',
'fs': []
}
]
}
))
self.goprocam.downloadMultiShot(path='/')
| 37.715686
| 79
| 0.341045
| 258
| 3,847
| 4.992248
| 0.24031
| 0.118012
| 0.118012
| 0.149068
| 0.788043
| 0.76941
| 0.73913
| 0.73913
| 0.656832
| 0.656832
| 0
| 0.013025
| 0.560957
| 3,847
| 101
| 80
| 38.089109
| 0.749556
| 0.027034
| 0
| 0.577778
| 0
| 0
| 0.05615
| 0
| 0
| 0
| 0
| 0
| 0.088889
| 1
| 0.088889
| false
| 0
| 0.033333
| 0
| 0.133333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 1
| 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
|
7ed228ca859c92e00381646bd60862db3d77eaf1
| 142
|
py
|
Python
|
Contests/Weekly Contest/Contest 217/1672. Richest Customer Wealth.py
|
Dharaneeshwar/Leetcode
|
cc3ed07f6ac5f4d6e3f60c57a94a06a8be2f5287
|
[
"MIT"
] | 4
|
2020-11-17T05:24:24.000Z
|
2021-06-14T21:01:45.000Z
|
Contests/Weekly Contest/Contest 217/1672. Richest Customer Wealth.py
|
Dharaneeshwar/Leetcode
|
cc3ed07f6ac5f4d6e3f60c57a94a06a8be2f5287
|
[
"MIT"
] | null | null | null |
Contests/Weekly Contest/Contest 217/1672. Richest Customer Wealth.py
|
Dharaneeshwar/Leetcode
|
cc3ed07f6ac5f4d6e3f60c57a94a06a8be2f5287
|
[
"MIT"
] | null | null | null |
# One liner ; O(n)
class Solution:
def maximumWealth(self, accounts: List[List[int]]) -> int:
return max(list(map(sum,accounts)))
| 28.4
| 62
| 0.647887
| 20
| 142
| 4.6
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190141
| 142
| 4
| 63
| 35.5
| 0.8
| 0.112676
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
7d1ff5471d85156c18747e9df63c4e74aacbb204
| 1,297
|
py
|
Python
|
test/test_subset.py
|
DavidWalz/diversipy
|
bbc9b6b650529f7cb739cf981dddb3eaad2f2613
|
[
"BSD-3-Clause"
] | 3
|
2021-01-06T13:35:00.000Z
|
2021-08-12T08:22:04.000Z
|
test/test_subset.py
|
DavidWalz/diversipy
|
bbc9b6b650529f7cb739cf981dddb3eaad2f2613
|
[
"BSD-3-Clause"
] | 1
|
2020-02-20T10:11:38.000Z
|
2020-02-29T22:52:42.000Z
|
test/test_subset.py
|
DavidWalz/diversipy
|
bbc9b6b650529f7cb739cf981dddb3eaad2f2613
|
[
"BSD-3-Clause"
] | null | null | null |
import numpy as np
import diversipy
def test_psa_partition():
pass
def test_psa_select():
X = diversipy.cube.grid(n_levels=5, dimension=3)
subset = diversipy.subset.psa_select(points=X, num_selected_points=3)
np.testing.assert_almost_equal(
subset, [[0.0, 0.5, 0.5], [0.75, 0.0, 0.5], [0.75, 0.75, 0.5]],
)
def test_select_greedy_maximin():
X = diversipy.cube.grid(n_levels=5, dimension=3)
subset = diversipy.subset.select_greedy_maximin(
points=X, num_selected_points=3, existing_points=X[0]
)
np.testing.assert_almost_equal(
subset, [[1.0, 1.0, 1.0], [0.0, 0.5, 1.0], [0.5, 1.0, 0.0]]
)
def test_select_greedy_maxisum():
X = diversipy.cube.grid(n_levels=5, dimension=3)
subset = diversipy.subset.select_greedy_maxisum(
points=X, num_selected_points=3, existing_points=X[0]
)
np.testing.assert_almost_equal(
subset, [[1.0, 1.0, 1.0], [0.0, 0.0, 1.0], [1.0, 1.0, 0.0]]
)
def test_select_greedy_energy():
X = diversipy.cube.grid(n_levels=5, dimension=3)
subset = diversipy.subset.select_greedy_energy(
points=X, num_selected_points=3, existing_points=X[0]
)
np.testing.assert_almost_equal(
subset, [[1.0, 1.0, 1.0], [0.0, 0.0, 1.0], [1.0, 1.0, 0.0]]
)
| 28.822222
| 73
| 0.642251
| 221
| 1,297
| 3.574661
| 0.158371
| 0.055696
| 0.049367
| 0.050633
| 0.821519
| 0.8
| 0.721519
| 0.721519
| 0.668354
| 0.668354
| 0
| 0.086124
| 0.194295
| 1,297
| 44
| 74
| 29.477273
| 0.669856
| 0
| 0
| 0.382353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 1
| 0.147059
| false
| 0.029412
| 0.058824
| 0
| 0.205882
| 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
|
7d38563f860d281db245f83699cd886a289205f1
| 225
|
py
|
Python
|
digits/dataset/tasks/__init__.py
|
pra85/DIGITS
|
3ccc526fd97644df3514bd8b868723e149abcd63
|
[
"BSD-3-Clause"
] | 3
|
2017-02-02T05:54:51.000Z
|
2021-07-07T16:44:42.000Z
|
digits/dataset/tasks/__init__.py
|
pra85/DIGITS
|
3ccc526fd97644df3514bd8b868723e149abcd63
|
[
"BSD-3-Clause"
] | null | null | null |
digits/dataset/tasks/__init__.py
|
pra85/DIGITS
|
3ccc526fd97644df3514bd8b868723e149abcd63
|
[
"BSD-3-Clause"
] | 2
|
2017-02-02T05:54:52.000Z
|
2020-07-11T17:42:34.000Z
|
# Copyright (c) 2014-2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
from .analyze_db import AnalyzeDbTask
from .create_db import CreateDbTask
from .parse_folder import ParseFolderTask
| 32.142857
| 68
| 0.835556
| 29
| 225
| 6.206897
| 0.724138
| 0.088889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040404
| 0.12
| 225
| 6
| 69
| 37.5
| 0.868687
| 0.293333
| 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
|
7d4b9e0719d7956fd02fbbbb585bb7ec30306280
| 132
|
py
|
Python
|
projects/django_projects/django_demo/app_login/admin.py
|
bigfoolliu/liu_aistuff
|
aa661d37c05c257ee293285dd0868fb7e8227628
|
[
"MIT"
] | 1
|
2019-11-25T07:23:42.000Z
|
2019-11-25T07:23:42.000Z
|
projects/django_projects/django_demo/app_login/admin.py
|
bigfoolliu/liu_aistuff
|
aa661d37c05c257ee293285dd0868fb7e8227628
|
[
"MIT"
] | 13
|
2020-01-07T16:09:47.000Z
|
2022-03-02T12:51:44.000Z
|
projects/django_projects/django_demo/app_login/admin.py
|
bigfoolliu/liu_aistuff
|
aa661d37c05c257ee293285dd0868fb7e8227628
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
# Register your models here.
# 向admin注册模型
from . import models
admin.site.register(models.Users)
| 16.5
| 33
| 0.787879
| 18
| 132
| 5.777778
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 132
| 7
| 34
| 18.857143
| 0.912281
| 0.280303
| 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
|
adc9ea6d048cc36414ffca0e874cb43613b6ca60
| 5,648
|
py
|
Python
|
test_func.py
|
redb0/global-optimization
|
82a9624f5b92fa012e4dadec8451053f590e71db
|
[
"MIT"
] | 2
|
2018-08-02T20:39:24.000Z
|
2020-12-02T08:37:23.000Z
|
test_func.py
|
redb0/global-optimization
|
82a9624f5b92fa012e4dadec8451053f590e71db
|
[
"MIT"
] | null | null | null |
test_func.py
|
redb0/global-optimization
|
82a9624f5b92fa012e4dadec8451053f590e71db
|
[
"MIT"
] | null | null | null |
from typing import List, Union
import numpy as np
def get_test_function_method_min(n: int, a: List[List[float]], c: List[List[float]],
p: List[List[float]], b: List[float]):
"""
Функция-замыкание, генерирует и возвращает тестовую функцию, применяя метод Фельдбаума,
т. е. применяя оператор минимума к одноэкстремальным степенным функциям.
:param n: количество экстремумов, целое число >= 1
:param a: список коэффициентов крутости экстремумов (длиной n), чем выше значения,
тем быстрее функция убывает/возрастает и тем уже область экстремума, List[List[float]]
:param c: список координат экстремумов длиной n, List[List[float]]
:param p: список степеней гладкости в районе экстремума,
если 0<p[i][j]<=1 функция в точке экстремума будет угловой
:param b: список значений функции (длиной n) в экстремуме, List[float], len(b) = n
:return: возвращает функцию, которой необходимо передавать одномерный список координат точки,
возвращаемая функция вернет значение тестовой функции в данной точке
"""
def func(x):
l = []
for i in range(n):
res = 0
for j in range(len(x)):
res = res + a[i][j] * np.abs(x[j] - c[i][j]) ** p[i][j]
res = res + b[i]
l.append(res)
res = np.array(l)
return np.min(res)
return func
def get_tf_hyperbolic_potential_abs(n: int, a: List[float], c: List[List[float]],
p: List[List[float]], b: List[float]):
"""
Функция-замыкание. Генерирует и возвращает тестовую функцию,
основанную на гиперболических потенциалах с аддитивными модульными функциями в знаменателе.
:param n: количество экстремумов, целое число >= 1
:param a: одномерный список коэффициентов (длиной n), определяющих крутость функции в районе экстремума
:param c: двумерный список координат экстремумов длиной n, List[List[float]]
:param p:
:param b: одномерный список коэффициентов (длиной n), определяющих значения функции в точках экстремумов
:return: возвращает функцию, которой необходимо передавать одномерный список координат точки,
возвращаемая функция вернет значение тестовой функции в данной точке
"""
def func(x):
value = 0
for i in range(n):
res = 0
for j in range(len(x)):
res = res + np.abs(x[j] - c[i][j]) ** p[i][j]
res = a[i] * res + b[i]
res = -(1 / res)
value = value + res
return value
return func
def get_tf_hyperbolic_potential_sqr(n: int, a: List[List[float]], c: List[List[float]], b):
"""
Функция-замыкание. Генерирует и возвращает тестовую функцию,
основанную на гиперболических потенциалах с иддитивными квадратичными функциями в знаменателе.
:param n: количество экстремумов, целое число >= 1
:param a:
:param c: двумерный список координат экстремумов длиной n,
List[List[float]], размерность n * m, m - размерность задачи
:param b: одномерный список коэффициентов (длиной n), определяющих значения функции в точках экстремумов
:return: возвращает функцию, которой необходимо передавать одномерный список координат точки,
возвращаемая функция вернет значение тестовой функции в данной точке
"""
def func(x):
value = 0
for i in range(n):
res = 0
for j in range(len(x)):
res = res + a[i][j] * (x[j] - c[i][j]) ** 2 # правильно ли стоит a???????
res = res + b[i]
res = -(1 / res)
value = value + res
return value
return func
def get_tf_exponential_potential(n: int, a: List[float], c: List[List[float]],
p: List[List[float]], b: List[float]):
"""
Функция-замыкание. Генерирует и возвращает тестовую функцию,
основанную на экспоненциальных потенциалах с аддитивными модульными функциями в знаменателе.
:param n: количество экстремумов, целое число >= 1
:param a: одномерный список коэффициентов (длиной n), определяющих крутость функции в районе экстремума
:param c: двумерный список координат экстремумов, List[List[float]], размерность n * m, m - размерность задачи
:param p: двумерный список степеней гладкости функции в районе экстремума, List[List[float]], размерность n * m
:param b: одномерный список коэффициентов (длиной n), определяющих значения функции в точках экстремумов
:return: возвращает функцию, которой необходимо передавать одномерный список координат точки,
возвращаемая функция вернет значение тестовой функции в данной точке
"""
def func(x):
value = 0
for i in range(n):
res = 0
for j in range(len(x)):
res = res + np.abs(x[j] - c[i][j]) ** p[i][j]
res = (-b[i]) * np.exp((-a[i]) * res)
value = value + res
return value
return func
def get_test_func(type_func: str, n: int,
a: List[Union[List[float], float]], c: List[List[float]], p: List[List[float]], b: List[float]):
"""Возвращает необходимую функцию в зависимости от переданного типа"""
if type_func == "feldbaum_function":
func = get_test_function_method_min(n, a, c, p, b)
elif type_func == "hyperbolic_potential_abs":
func = get_tf_hyperbolic_potential_abs(n, a, c, p, b)
elif type_func == "exponential_potential":
func = get_tf_exponential_potential(n, a, c, p, b)
else:
func = None
return func
| 46.295082
| 115
| 0.633499
| 736
| 5,648
| 4.8125
| 0.1875
| 0.063523
| 0.062394
| 0.012705
| 0.779221
| 0.763693
| 0.734331
| 0.718521
| 0.708922
| 0.696499
| 0
| 0.003877
| 0.269299
| 5,648
| 121
| 116
| 46.677686
| 0.854374
| 0.540191
| 0
| 0.619048
| 0
| 0
| 0.025887
| 0.018789
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.031746
| 0
| 0.31746
| 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
|
70bd3be8ce32fbda099c84f18d62bb03490a213e
| 1,954
|
py
|
Python
|
tests/test_sub_schemas.py
|
bioimage-io/spec-bioimage-io
|
b534001c67b3903dbd47f80a8b3ff027cd249119
|
[
"MIT"
] | 6
|
2021-05-10T09:08:12.000Z
|
2022-03-27T17:44:08.000Z
|
tests/test_sub_schemas.py
|
bioimage-io/spec-bioimage-io
|
b534001c67b3903dbd47f80a8b3ff027cd249119
|
[
"MIT"
] | 227
|
2021-03-16T23:40:13.000Z
|
2022-03-17T14:30:53.000Z
|
tests/test_sub_schemas.py
|
bioimage-io/spec-bioimage-io
|
b534001c67b3903dbd47f80a8b3ff027cd249119
|
[
"MIT"
] | 5
|
2021-03-26T14:16:49.000Z
|
2021-11-28T11:24:40.000Z
|
import pytest
from bioimageio.spec.shared import fields
def test_cite_entry():
from bioimageio.spec.rdf.schema import CiteEntry
data = {
"text": "Title",
"doi": "https://doi.org/10.1109/5.771073",
"url": "https://ieeexplore.ieee.org/document/771073",
}
CiteEntry().load(data)
def test_cite_field_option1():
"""only way we allow to specify listed, nested schemas.
Limitation to allow better exception and warning messages and make the code in general more concise.
"""
from bioimageio.spec.rdf.schema import CiteEntry
data = [
{
"text": "Title",
"doi": "https://doi.org/10.1109/5.771073",
"url": "https://ieeexplore.ieee.org/document/771073",
}
] * 2
cite_field = fields.List(fields.Nested(CiteEntry()), required=True)
cite_field.deserialize(data)
# we (arbitrarily) don't allow this. Test for reference only. see fields.Nested for details
# def test_cite_field_option2():
# from bioimageio.spec.rdf.schema import CiteEntry
#
# data = [
# {
# "text": "Title",
# "doi": "https://doi.org/10.1109/5.771073",
# "url": "https://ieeexplore.ieee.org/document/771073",
# }
# ] * 2
#
# cite_field = fields.Nested(CiteEntry(many=True), required=True)
# out = cite_field.deserialize(data)
# assert len(out) == 2
# we (arbitrarily) don't allow this. Test for reference only. see fields.Nested for details
# def test_cite_field_option3():
# from bioimageio.spec.rdf.schema import CiteEntry
#
# data = [
# {
# "text": "Title",
# "doi": "https://doi.org/10.1109/5.771073",
# "url": "https://ieeexplore.ieee.org/document/771073",
# }
# ] * 2
#
# cite_field = fields.Nested(CiteEntry(many=True), many=True, required=True)
# out = cite_field.deserialize(data)
# assert len(out) == 2
| 28.318841
| 104
| 0.60696
| 239
| 1,954
| 4.891213
| 0.301255
| 0.06929
| 0.076989
| 0.071856
| 0.739093
| 0.739093
| 0.739093
| 0.739093
| 0.739093
| 0.739093
| 0
| 0.057104
| 0.247185
| 1,954
| 68
| 105
| 28.735294
| 0.737593
| 0.595701
| 0
| 0.380952
| 0
| 0
| 0.241287
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.095238
| false
| 0
| 0.190476
| 0
| 0.285714
| 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
|
cb3776f6d8b93fd7f9b8af4264c49c4f835007d1
| 64
|
py
|
Python
|
2.py
|
jackiboi307/isEven---Python
|
3a7a4f006282dc16dd33b525c46f260788113a1e
|
[
"Unlicense"
] | null | null | null |
2.py
|
jackiboi307/isEven---Python
|
3a7a4f006282dc16dd33b525c46f260788113a1e
|
[
"Unlicense"
] | null | null | null |
2.py
|
jackiboi307/isEven---Python
|
3a7a4f006282dc16dd33b525c46f260788113a1e
|
[
"Unlicense"
] | null | null | null |
def isEven(num):
return int(str(num)[-1]) in [0, 2, 4, 6, 8]
| 32
| 47
| 0.546875
| 14
| 64
| 2.5
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 0.203125
| 64
| 2
| 47
| 32
| 0.568627
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
cb47e97940770d4ea26fdc8ec51189ed95b14e46
| 47
|
py
|
Python
|
build/n0test/tdt_generator/__init__.py
|
cordiers/multi-comp-go-py
|
94982a972afc299e9e78625ca070140535d1f29f
|
[
"BSD-2-Clause"
] | 39
|
2018-10-21T08:57:16.000Z
|
2021-12-21T10:50:20.000Z
|
build/n0test/tdt_generator/__init__.py
|
cordiers/multi-comp-go-py
|
94982a972afc299e9e78625ca070140535d1f29f
|
[
"BSD-2-Clause"
] | 132
|
2018-10-20T14:52:25.000Z
|
2021-05-09T12:37:41.000Z
|
build/n0test/tdt_generator/__init__.py
|
cordiers/multi-comp-go-py
|
94982a972afc299e9e78625ca070140535d1f29f
|
[
"BSD-2-Clause"
] | 11
|
2019-02-20T03:53:30.000Z
|
2020-03-22T15:54:26.000Z
|
from n0test.tdt_generator.ga import Generation
| 23.5
| 46
| 0.87234
| 7
| 47
| 5.714286
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023256
| 0.085106
| 47
| 1
| 47
| 47
| 0.906977
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
|
cbc8b9158f3a41b6869878f52aa78612d9d37731
| 123
|
py
|
Python
|
illud/state.py
|
AustinScola/illud
|
a6aca1de38bbe9d5a795aaa084bcbd6731767d18
|
[
"MIT"
] | 1
|
2020-12-05T00:59:15.000Z
|
2020-12-05T00:59:15.000Z
|
illud/state.py
|
AustinScola/illud
|
a6aca1de38bbe9d5a795aaa084bcbd6731767d18
|
[
"MIT"
] | 112
|
2021-01-15T21:42:27.000Z
|
2021-04-17T19:11:21.000Z
|
illud/state.py
|
AustinScola/illud
|
a6aca1de38bbe9d5a795aaa084bcbd6731767d18
|
[
"MIT"
] | null | null | null |
"""Persistent information."""
class State(): # pylint: disable=too-few-public-methods
"""Persistent information."""
| 20.5
| 56
| 0.682927
| 12
| 123
| 7
| 0.833333
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130081
| 123
| 5
| 57
| 24.6
| 0.785047
| 0.707317
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
1db52c5253f4e6449622bdcb1d0d0b3e990f047a
| 272
|
py
|
Python
|
z3py/examples/arith.5.py
|
rainoftime/rainoftime.github.io
|
d6316f153db0ed96309d81a5f32af9887c6f1a9a
|
[
"MIT"
] | 1
|
2021-08-01T07:28:03.000Z
|
2021-08-01T07:28:03.000Z
|
z3py/examples/arith.5.py
|
rainoftime/rainoftime.github.io
|
d6316f153db0ed96309d81a5f32af9887c6f1a9a
|
[
"MIT"
] | null | null | null |
z3py/examples/arith.5.py
|
rainoftime/rainoftime.github.io
|
d6316f153db0ed96309d81a5f32af9887c6f1a9a
|
[
"MIT"
] | null | null | null |
x, y = Reals('x y')
solve(x + 10000000000000000000000 == y, y > 20000000000000000)
print Sqrt(2) + Sqrt(3)
print simplify(Sqrt(2) + Sqrt(3))
print simplify(Sqrt(2) + Sqrt(3)).sexpr()
# The sexpr() method is available for any Z3 expression
print (x + Sqrt(y) * 2).sexpr()
| 30.222222
| 62
| 0.672794
| 44
| 272
| 4.159091
| 0.454545
| 0.081967
| 0.147541
| 0.163934
| 0.306011
| 0.306011
| 0.306011
| 0.306011
| 0.306011
| 0.306011
| 0
| 0.208696
| 0.154412
| 272
| 8
| 63
| 34
| 0.586957
| 0.194853
| 0
| 0
| 0
| 0
| 0.013825
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.666667
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 1
|
0
| 5
|
1dde8a7352301cc84c99f1fe032e01f30dcdb0cb
| 255
|
py
|
Python
|
nexus/tests/unit/test_quantum_package_analyzer.py
|
djstaros/qmcpack
|
280f67e638bae280448b47fa618f05b848c530d2
|
[
"NCSA"
] | null | null | null |
nexus/tests/unit/test_quantum_package_analyzer.py
|
djstaros/qmcpack
|
280f67e638bae280448b47fa618f05b848c530d2
|
[
"NCSA"
] | 11
|
2020-05-09T20:57:21.000Z
|
2020-06-10T00:00:17.000Z
|
nexus/tests/unit/test_quantum_package_analyzer.py
|
djstaros/qmcpack
|
280f67e638bae280448b47fa618f05b848c530d2
|
[
"NCSA"
] | null | null | null |
def test_import():
from quantum_package_analyzer import QuantumPackageAnalyzer
#end def test_import
def test_empty_init():
from quantum_package_analyzer import QuantumPackageAnalyzer
QuantumPackageAnalyzer(None)
#end def test_empty_init
| 18.214286
| 63
| 0.815686
| 30
| 255
| 6.6
| 0.4
| 0.141414
| 0.131313
| 0.262626
| 0.545455
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145098
| 255
| 13
| 64
| 19.615385
| 0.908257
| 0.164706
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| true
| 0
| 0.6
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
1de870e5709fdc9a3bc85490e253d65a47e2d84f
| 64
|
py
|
Python
|
src/tests/core/utils/test_data/relative_module_info/src/start.py
|
cdev-framework/cdev-sdk
|
06cd7b40936ab063d1d8fd1a7d9f6882750e8a96
|
[
"BSD-3-Clause-Clear"
] | 2
|
2022-02-28T02:51:59.000Z
|
2022-03-24T15:23:18.000Z
|
src/tests/core/utils/test_data/relative_module_info/src/start.py
|
cdev-framework/cdev-sdk
|
06cd7b40936ab063d1d8fd1a7d9f6882750e8a96
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
src/tests/core/utils/test_data/relative_module_info/src/start.py
|
cdev-framework/cdev-sdk
|
06cd7b40936ab063d1d8fd1a7d9f6882750e8a96
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
import pandas
from . import utils
from . import tmp
import math
| 12.8
| 19
| 0.78125
| 10
| 64
| 5
| 0.6
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 64
| 4
| 20
| 16
| 0.961538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 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
|
381ddc5a52f67ed2ec1380e8a8673219b77aa4bc
| 170
|
py
|
Python
|
opt/postprocess.py
|
nextgis-borsch/lib_xml2
|
2021f64b458d2edee32958b27cf190d9bc151cd9
|
[
"MIT"
] | null | null | null |
opt/postprocess.py
|
nextgis-borsch/lib_xml2
|
2021f64b458d2edee32958b27cf190d9bc151cd9
|
[
"MIT"
] | 1
|
2017-02-11T20:09:43.000Z
|
2018-02-28T23:37:47.000Z
|
opt/postprocess.py
|
nextgis-borsch/lib_xml2
|
2021f64b458d2edee32958b27cf190d9bc151cd9
|
[
"MIT"
] | 2
|
2019-10-07T12:16:19.000Z
|
2021-05-11T17:46:37.000Z
|
from os.path import dirname, abspath
import subprocess
process = subprocess.Popen(['git', 'apply', './opt/ignore_crlf.patch'], cwd = dirname(dirname(abspath(__file__))))
| 42.5
| 114
| 0.747059
| 22
| 170
| 5.545455
| 0.772727
| 0.229508
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 170
| 4
| 114
| 42.5
| 0.787097
| 0
| 0
| 0
| 0
| 0
| 0.181287
| 0.134503
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
383ba27ab0c7262f4b4e5078c6e1c0d21bf3f805
| 253
|
py
|
Python
|
src/encp_user.py
|
moibenko/enstore
|
6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9
|
[
"Intel",
"Unlicense"
] | 4
|
2021-10-17T11:17:59.000Z
|
2022-02-28T16:58:40.000Z
|
src/encp_user.py
|
moibenko/enstore
|
6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9
|
[
"Intel",
"Unlicense"
] | 17
|
2021-10-05T21:44:06.000Z
|
2022-03-31T16:58:40.000Z
|
src/encp_user.py
|
moibenko/enstore
|
6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9
|
[
"Intel",
"Unlicense"
] | 8
|
2021-09-02T18:55:49.000Z
|
2022-03-09T21:05:28.000Z
|
#!/usr/bin/env python
###############################################################################
# src/$RCSfile$ $Revision$
#
import encp
import delete_at_exit
if __name__ == "__main__" :
delete_at_exit.quit(encp.start(1)) #1 means user
| 19.461538
| 79
| 0.470356
| 26
| 253
| 4.115385
| 0.769231
| 0.149533
| 0.224299
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009009
| 0.12253
| 253
| 12
| 80
| 21.083333
| 0.472973
| 0.233202
| 0
| 0
| 0
| 0
| 0.072072
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
6984b6b7e76671a846c39fd32be9b8b05288c6c6
| 100
|
py
|
Python
|
wordpress_orm/entities/post_revision.py
|
warelab/wordpress_orm
|
cb3c0e6c45e1a4c70bd598c119ab789ac6e5d1ee
|
[
"MIT"
] | null | null | null |
wordpress_orm/entities/post_revision.py
|
warelab/wordpress_orm
|
cb3c0e6c45e1a4c70bd598c119ab789ac6e5d1ee
|
[
"MIT"
] | 2
|
2018-05-24T14:40:58.000Z
|
2018-05-25T19:38:37.000Z
|
wordpress_orm/entities/post_revision.py
|
warelab/wordpress_orm
|
cb3c0e6c45e1a4c70bd598c119ab789ac6e5d1ee
|
[
"MIT"
] | 1
|
2018-05-22T18:42:40.000Z
|
2018-05-22T18:42:40.000Z
|
'''
WordPress API reference: https://developer.wordpress.org/rest-api/reference/post-revisions/
'''
| 25
| 91
| 0.76
| 12
| 100
| 6.333333
| 0.75
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.06
| 100
| 3
| 92
| 33.333333
| 0.808511
| 0.91
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 1
| 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
|
699752f49b00e4eff955a57cdb51dc3c7ce06b6e
| 140
|
py
|
Python
|
names.py
|
jacobemmerson/CMPINF0010
|
1c950dd5de6df4e6c3437c36665a45f9987dbb32
|
[
"Apache-2.0"
] | null | null | null |
names.py
|
jacobemmerson/CMPINF0010
|
1c950dd5de6df4e6c3437c36665a45f9987dbb32
|
[
"Apache-2.0"
] | null | null | null |
names.py
|
jacobemmerson/CMPINF0010
|
1c950dd5de6df4e6c3437c36665a45f9987dbb32
|
[
"Apache-2.0"
] | null | null | null |
#hello
name = input("What is your name?")
age = int(input("What is your age: "))
print("Hello {}, you are {} years old").format(name, age)
| 28
| 57
| 0.635714
| 23
| 140
| 3.869565
| 0.608696
| 0.202247
| 0.247191
| 0.337079
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164286
| 140
| 5
| 57
| 28
| 0.760684
| 0.035714
| 0
| 0
| 0
| 0
| 0.492537
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
699ea6b912089ed50df241a0467b290379d7afb8
| 129
|
py
|
Python
|
jinja_filters.py
|
Nixellion/MikrotikTrafficMonitor
|
9a6e4aa06c6e3440bc09ab91a00b8a46ba78da7a
|
[
"MIT"
] | 17
|
2020-01-05T13:49:47.000Z
|
2021-07-27T06:23:00.000Z
|
jinja_filters.py
|
Nixellion/MikrotikTrafficMonitor
|
9a6e4aa06c6e3440bc09ab91a00b8a46ba78da7a
|
[
"MIT"
] | 4
|
2020-06-09T05:31:18.000Z
|
2021-05-11T17:22:53.000Z
|
jinja_filters.py
|
Nixellion/MikrotikTrafficMonitor
|
9a6e4aa06c6e3440bc09ab91a00b8a46ba78da7a
|
[
"MIT"
] | 5
|
2020-05-25T13:09:42.000Z
|
2021-02-25T10:29:43.000Z
|
def html_line_breaks(text):
return text.replace("\n", "\n<br>")
def zfill(value, width):
return str(value).zfill(width)
| 21.5
| 39
| 0.666667
| 20
| 129
| 4.2
| 0.65
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.147287
| 129
| 6
| 40
| 21.5
| 0.763636
| 0
| 0
| 0
| 0
| 0
| 0.062016
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
69b6ef4872dcd08e523c8c39b8079e8b4b30f3e5
| 155
|
py
|
Python
|
005 - Execicios Funcoes.py/015 - Escopo Global.py
|
rodrigoviannini/meus_Primeiros_Codigos
|
828dec1c4ce06889efd491145e631c30a45e858f
|
[
"MIT"
] | 2
|
2021-07-22T23:26:54.000Z
|
2021-07-22T23:27:27.000Z
|
005 - Execicios Funcoes.py/015 - Escopo Global.py
|
rodrigoviannini/meus_Primeiros_Codigos
|
828dec1c4ce06889efd491145e631c30a45e858f
|
[
"MIT"
] | null | null | null |
005 - Execicios Funcoes.py/015 - Escopo Global.py
|
rodrigoviannini/meus_Primeiros_Codigos
|
828dec1c4ce06889efd491145e631c30a45e858f
|
[
"MIT"
] | null | null | null |
# ESCOPO GLOBAL
def teste():
print(f'No programa principal, n vale {n}')
# PROGRAMA PRINCIPAL
n = 2
print(f'No programa principal, n vale {n}')
teste()
| 17.222222
| 45
| 0.683871
| 25
| 155
| 4.24
| 0.48
| 0.481132
| 0.509434
| 0.301887
| 0.584906
| 0.584906
| 0.584906
| 0.584906
| 0
| 0
| 0
| 0.007813
| 0.174194
| 155
| 9
| 46
| 17.222222
| 0.820313
| 0.206452
| 0
| 0.4
| 0
| 0
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0
| 0
| 0.2
| 0.4
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
0e12129f8c084d6eb4ca9941b62b3da4bcebd481
| 508
|
py
|
Python
|
python/one-liner/reverse_lines.py
|
Hamng/python-sources
|
0cc5a5d9e576440d95f496edcfd921ae37fcd05a
|
[
"Unlicense"
] | null | null | null |
python/one-liner/reverse_lines.py
|
Hamng/python-sources
|
0cc5a5d9e576440d95f496edcfd921ae37fcd05a
|
[
"Unlicense"
] | 1
|
2019-02-23T18:30:51.000Z
|
2019-02-23T18:30:51.000Z
|
python/one-liner/reverse_lines.py
|
Hamng/python-sources
|
0cc5a5d9e576440d95f496edcfd921ae37fcd05a
|
[
"Unlicense"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 9 17:49:33 2019
@author: Ham
Below is a 1-liner to reverse lines read from stdin.
VERY IMPORTANT on Windows: **MUST** use double-quotations to quote the Python codes
You can feed stdin from many files as: cat f1 f2 f3 | line_reversal
Or, you can have another 1-liner to generate input lines:
python -c "[print(i,i,i) for i in range(1,20)]" | line_reversal
"""
python -c "import sys; [print(l,end='') for l in sys.stdin.readlines()[::-1]]"
| 29.882353
| 84
| 0.669291
| 91
| 508
| 3.714286
| 0.714286
| 0.035503
| 0.047337
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.051724
| 0.200787
| 508
| 17
| 85
| 29.882353
| 0.780788
| 0.041339
| 0
| 0
| 0
| 1
| 0.804878
| 0.341463
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 1
| null | null | 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
385b6a0afc1e779a9f9bbb72bddb2d9e2218bf00
| 174
|
py
|
Python
|
monasca_predictor/version.py
|
giacomolanciano/monasca-predictor
|
f0e07304d51cfa06b189ff1ea2350d26c4461329
|
[
"Apache-2.0"
] | null | null | null |
monasca_predictor/version.py
|
giacomolanciano/monasca-predictor
|
f0e07304d51cfa06b189ff1ea2350d26c4461329
|
[
"Apache-2.0"
] | null | null | null |
monasca_predictor/version.py
|
giacomolanciano/monasca-predictor
|
f0e07304d51cfa06b189ff1ea2350d26c4461329
|
[
"Apache-2.0"
] | null | null | null |
from pbr import version
__all__ = ["version_info", "version_string"]
version_info = version.VersionInfo("monasca-predictor")
version_string = version_info.version_string()
| 24.857143
| 55
| 0.798851
| 21
| 174
| 6.142857
| 0.47619
| 0.255814
| 0.418605
| 0.372093
| 0.48062
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091954
| 174
| 6
| 56
| 29
| 0.816456
| 0
| 0
| 0
| 0
| 0
| 0.247126
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
3861eefc71d49daa99b5dfa9e11a96873b44c389
| 461
|
py
|
Python
|
mock_gp.py
|
phogbinh/gp-hedge
|
fa4be4f4449f6a348b49ae4c87bc206f6d277134
|
[
"MIT"
] | null | null | null |
mock_gp.py
|
phogbinh/gp-hedge
|
fa4be4f4449f6a348b49ae4c87bc206f6d277134
|
[
"MIT"
] | null | null | null |
mock_gp.py
|
phogbinh/gp-hedge
|
fa4be4f4449f6a348b49ae4c87bc206f6d277134
|
[
"MIT"
] | null | null | null |
class MockGp:
first_iteration_end = False
def get_max_point(self, af): # allocation function
if af == "PI":
return -1
elif af == "EI":
return 3
else: # UCB
return 5
def sample_and_add(self, x):
pass
def update(self):
pass
def get_means(self, points):
if not self.first_iteration_end:
self.first_iteration_end = True
return [1, 10, 0.1]
else:
return [1, -6, 3]
| 19.208333
| 53
| 0.566161
| 65
| 461
| 3.846154
| 0.569231
| 0.168
| 0.204
| 0.168
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.035831
| 0.334056
| 461
| 23
| 54
| 20.043478
| 0.778502
| 0.049892
| 0
| 0.210526
| 0
| 0
| 0.009709
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.210526
| false
| 0.105263
| 0
| 0
| 0.578947
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
388cad4b2874253466c3209f2d844d97ed4169cb
| 86
|
py
|
Python
|
DjangoMongo/apps/decks/admin.py
|
ssc-gerardo/django-mongo
|
9d3a7709089a30a2cd52cd39b9df04d9a483c14d
|
[
"MIT"
] | null | null | null |
DjangoMongo/apps/decks/admin.py
|
ssc-gerardo/django-mongo
|
9d3a7709089a30a2cd52cd39b9df04d9a483c14d
|
[
"MIT"
] | null | null | null |
DjangoMongo/apps/decks/admin.py
|
ssc-gerardo/django-mongo
|
9d3a7709089a30a2cd52cd39b9df04d9a483c14d
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Deck
admin.site.register(Deck)
| 14.333333
| 32
| 0.802326
| 13
| 86
| 5.307692
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.127907
| 86
| 5
| 33
| 17.2
| 0.92
| 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
|
2a09bd67585e7baa4df78ad75e6df3953eb58894
| 756
|
py
|
Python
|
decrypto/__init__.py
|
mhemanthkmr/Decrypto
|
882eb5496347f2028fa471837e46772352c6807d
|
[
"MIT"
] | null | null | null |
decrypto/__init__.py
|
mhemanthkmr/Decrypto
|
882eb5496347f2028fa471837e46772352c6807d
|
[
"MIT"
] | null | null | null |
decrypto/__init__.py
|
mhemanthkmr/Decrypto
|
882eb5496347f2028fa471837e46772352c6807d
|
[
"MIT"
] | null | null | null |
from decrypto.src.affine_cipher import AffineCipher
from decrypto.src.ascii_cipher import AsciiCipher
from decrypto.src.bacon_cipher import BaconCipher
from decrypto.src.base64_cipher import Base64Cipher
from decrypto.src.binary_cipher import BinaryCipher
from decrypto.src.caesar_cipher import CaesarCipher
from decrypto.src.hexadecimal_cipher import HexadecimalCipher
from decrypto.src.morse_code_cipher import MorseCodeCipher
from decrypto.src.octal_cipher import OctalCipher
from decrypto.src.reverse_cipher import ReverseCipher
from decrypto.src.roman_numeral_cipher import RomanNumeralCipher
from decrypto.src.rot13_cipher import ROT13Cipher
from decrypto.src.vigenere_cipher import VigenereCipher
from decrypto.src.atbash_cipher import AtBashCipher
| 50.4
| 64
| 0.888889
| 100
| 756
| 6.56
| 0.35
| 0.256098
| 0.320122
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011429
| 0.074074
| 756
| 14
| 65
| 54
| 0.925714
| 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
| 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
|
2a1786929d5f36d0145a7904870190cc9d7de71d
| 3,827
|
py
|
Python
|
src/dataset.py
|
tonywangziteng/Monocular-VO-Python
|
37762fa6c4712b9a4860d1c4e919685f71490463
|
[
"MIT"
] | 1
|
2022-01-24T10:43:29.000Z
|
2022-01-24T10:43:29.000Z
|
src/dataset.py
|
tonywangziteng/Monocular-VO-Python
|
37762fa6c4712b9a4860d1c4e919685f71490463
|
[
"MIT"
] | null | null | null |
src/dataset.py
|
tonywangziteng/Monocular-VO-Python
|
37762fa6c4712b9a4860d1c4e919685f71490463
|
[
"MIT"
] | null | null | null |
from os import read
import cv2
import os.path as osp
from abc import ABC, abstractmethod
import numpy as np
import os
import pdb
class Dataset(ABC):
def __init__(self) -> None:
pass
@abstractmethod
def get_next_image(self) -> np.ndarray:
pass
class Parking_dataset(Dataset):
def __init__(self, img_ptr=0) -> None:
super(Parking_dataset, self).__init__()
self.__dataset_root_path = "../data/parking/"
self.__img_dir_path = osp.join(self.__dataset_root_path, "images")
# load K matrix
K_path = osp.join(self.__dataset_root_path, 'K.txt')
with open(K_path) as K_file:
K_str = K_file.read()
self.__K = np.fromstring(K_str, sep=',').reshape(3, 3)
self.__img_namelist = os.listdir(self.__img_dir_path)
# only images
self.__img_namelist = \
[file_name for file_name in self.__img_namelist if file_name.endswith('png')]
self.__img_namelist.sort()
self.__img_num = len(self.__img_namelist)
self.__img_ptr = img_ptr
def get_next_image(self) -> np.ndarray:
if self.__img_ptr == self.__img_num:
return None, None
img_name = self.__img_namelist[self.__img_ptr]
img_full_path = osp.join(self.__img_dir_path, self.__img_namelist[self.__img_ptr])
rgb_img = cv2.imread(img_full_path)
self.__img_ptr+=1
return cv2.cvtColor(rgb_img, cv2.COLOR_RGB2GRAY), rgb_img, img_name
def get_img(self, img_ptr:int) -> np.ndarray:
assert (img_ptr>=0 and img_ptr<self.__img_num), "img pointer out of range"
img_name = self.__img_namelist[img_ptr]
img_full_path = osp.join(self.__img_dir_path, self.__img_namelist[self.__img_ptr])
rgb_img = cv2.imread(img_full_path)
return cv2.cvtColor(rgb_img, cv2.COLOR_RGB2GRAY), img_name
@property
def K(self) -> np.ndarray:
return self.__K
class KITTI_dataset(Dataset):
def __init__(self, img_ptr=0) -> None:
super(KITTI_dataset, self).__init__()
self._dataset_root_path = "../data/kitti/05/"
self._img_dir_path = osp.join(self._dataset_root_path, "image_0")
# load K matrix
self._K=np.array([[7.188560000000e+02, 0, 6.071928000000e+02],
[0, 7.188560000000e+02, 1.852157000000e+02],
[0 ,0 ,1]])
self._img_namelist = os.listdir(self._img_dir_path)
# only images
self._img_namelist = \
[file_name for file_name in self._img_namelist if file_name.endswith('png')]
self._img_namelist.sort()
self._img_num = len(self._img_namelist)
self._img_ptr = img_ptr
def get_next_image(self) -> np.ndarray:
if self._img_ptr == self._img_num:
return None, None
img_name = self._img_namelist[self._img_ptr]
img_full_path = osp.join(self._img_dir_path, self._img_namelist[self._img_ptr])
rgb_img = cv2.imread(img_full_path)
self._img_ptr+=1
return cv2.cvtColor(rgb_img, cv2.COLOR_RGB2GRAY), rgb_img, img_name
def set_ptr(self, ptr_idx:int):
self._img_ptr = ptr_idx
def get_img(self, img_ptr:int) -> np.ndarray:
assert (img_ptr>=0 and img_ptr<self._img_num), "img pointer out of range"
img_name = self._img_namelist[img_ptr]
img_full_path = osp.join(self._img_dir_path, self._img_namelist[self._img_ptr])
rgb_img = cv2.imread(img_full_path)
return cv2.cvtColor(rgb_img, cv2.COLOR_RGB2GRAY), img_name
@property
def K(self) -> np.ndarray:
return self._K
@property
def index(self) -> np.ndarray:
return self._img_ptr
datasets = {
"KITTI": KITTI_dataset,
"parking": Parking_dataset
}
| 32.159664
| 90
| 0.643585
| 555
| 3,827
| 3.994595
| 0.156757
| 0.157871
| 0.081191
| 0.050519
| 0.777627
| 0.767253
| 0.767253
| 0.741092
| 0.706811
| 0.706811
| 0
| 0.03237
| 0.249281
| 3,827
| 118
| 91
| 32.432203
| 0.739297
| 0.013326
| 0
| 0.329412
| 0
| 0
| 0.031291
| 0
| 0
| 0
| 0
| 0
| 0.023529
| 1
| 0.141176
| false
| 0.023529
| 0.082353
| 0.035294
| 0.364706
| 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
|
2a2972d8264a2035f6d5a7ccc3b7841247047666
| 264
|
py
|
Python
|
evap/results/templatetags/results_templatetags.py
|
karyon/EvaP
|
9026fe0af4e261be73423131cfc52a7e655c82e6
|
[
"MIT"
] | null | null | null |
evap/results/templatetags/results_templatetags.py
|
karyon/EvaP
|
9026fe0af4e261be73423131cfc52a7e655c82e6
|
[
"MIT"
] | null | null | null |
evap/results/templatetags/results_templatetags.py
|
karyon/EvaP
|
9026fe0af4e261be73423131cfc52a7e655c82e6
|
[
"MIT"
] | null | null | null |
from django.template import Library
from evap.evaluation.models import Semester
register = Library()
@register.inclusion_tag("results_semester_menu.html")
def include_results_semester_menu():
return dict(semesters=Semester.get_all_with_published_courses())
| 26.4
| 68
| 0.829545
| 34
| 264
| 6.147059
| 0.735294
| 0.143541
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.087121
| 264
| 9
| 69
| 29.333333
| 0.86722
| 0
| 0
| 0
| 0
| 0
| 0.098485
| 0.098485
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0.166667
| 0.666667
| 0
| 0
| 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
| 1
| 1
| 0
|
0
| 5
|
2a308e9390b92b08cb9a5e83226372ed9dc9fd9c
| 189
|
py
|
Python
|
etc/test.py
|
ztp99/pywebstepic
|
59ffd969cb8dc0d602941d6676757cc4e9f7858b
|
[
"Apache-2.0"
] | null | null | null |
etc/test.py
|
ztp99/pywebstepic
|
59ffd969cb8dc0d602941d6676757cc4e9f7858b
|
[
"Apache-2.0"
] | null | null | null |
etc/test.py
|
ztp99/pywebstepic
|
59ffd969cb8dc0d602941d6676757cc4e9f7858b
|
[
"Apache-2.0"
] | null | null | null |
bind='127.0.0.1:8080'
accesslog='/home/box/web/log/gunicorn_access.log'
errorlog='/home/box/web/log/gunicorn_error.log'
pythonpath='/usr/bin/python3'
pidfile='/home/box/web/pid/gupid.pid'
| 31.5
| 49
| 0.756614
| 33
| 189
| 4.272727
| 0.636364
| 0.148936
| 0.212766
| 0.184397
| 0.297872
| 0
| 0
| 0
| 0
| 0
| 0
| 0.060109
| 0.031746
| 189
| 5
| 50
| 37.8
| 0.710383
| 0
| 0
| 0
| 0
| 0
| 0.687831
| 0.529101
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2a34bf466b58d0c927acc9ad39ce0e361bf4853b
| 203
|
py
|
Python
|
twin_sister/injection/fake_fs.py
|
stephen-bapple/twin-sister
|
f9e5f063b977607c69ed5779bab0ccdef0010d5e
|
[
"MIT"
] | 10
|
2019-02-11T16:22:01.000Z
|
2020-09-16T14:43:17.000Z
|
twin_sister/injection/fake_fs.py
|
stephen-bapple/twin-sister
|
f9e5f063b977607c69ed5779bab0ccdef0010d5e
|
[
"MIT"
] | 1
|
2020-09-03T16:06:23.000Z
|
2020-09-03T16:06:23.000Z
|
twin_sister/injection/fake_fs.py
|
stephen-bapple/twin-sister
|
f9e5f063b977607c69ed5779bab0ccdef0010d5e
|
[
"MIT"
] | 1
|
2019-08-06T21:04:53.000Z
|
2019-08-06T21:04:53.000Z
|
from pyfakefs import fake_filesystem as api
def create_fs():
return api.FakeFilesystem()
def create_open(fs):
return api.FakeFileOpen(fs)
def create_os(fs):
return api.FakeOsModule(fs)
| 14.5
| 43
| 0.73399
| 29
| 203
| 5
| 0.551724
| 0.186207
| 0.227586
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.17734
| 203
| 13
| 44
| 15.615385
| 0.868263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.428571
| false
| 0
| 0.142857
| 0.428571
| 1
| 0
| 1
| 0
| 0
| null | 0
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
2a447d28177f29a57888c6f965905595d02aad44
| 186
|
py
|
Python
|
repositories/role.py
|
jsmsalt/jobs-api
|
a2c26522bf7f997558f6c6608524187785c830e5
|
[
"MIT"
] | null | null | null |
repositories/role.py
|
jsmsalt/jobs-api
|
a2c26522bf7f997558f6c6608524187785c830e5
|
[
"MIT"
] | 5
|
2021-11-29T04:40:14.000Z
|
2021-11-29T12:33:44.000Z
|
repositories/role.py
|
jsmsalt/jobs-api
|
a2c26522bf7f997558f6c6608524187785c830e5
|
[
"MIT"
] | null | null | null |
from repositories.base import BaseRepository
from models.role import Role, RoleCreate, RoleUpdate
class RoleRepository(BaseRepository[Role, RoleCreate, RoleUpdate]):
entity = Role
| 26.571429
| 67
| 0.811828
| 20
| 186
| 7.55
| 0.6
| 0.18543
| 0.317881
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123656
| 186
| 6
| 68
| 31
| 0.92638
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 1
| 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
|
2a4a3a0e9ed865632b743f5f5969820182b6f849
| 104
|
py
|
Python
|
fakedns/library/__init__.py
|
wahlflo/fakedns
|
7ebd91c790b8bccfffb50b1c55cbd6fa91178e99
|
[
"MIT"
] | null | null | null |
fakedns/library/__init__.py
|
wahlflo/fakedns
|
7ebd91c790b8bccfffb50b1c55cbd6fa91178e99
|
[
"MIT"
] | null | null | null |
fakedns/library/__init__.py
|
wahlflo/fakedns
|
7ebd91c790b8bccfffb50b1c55cbd6fa91178e99
|
[
"MIT"
] | null | null | null |
from .fake_dns_server import FakeDnsServer
from .baseline_creation_server import BaselineCreationServer
| 34.666667
| 60
| 0.903846
| 12
| 104
| 7.5
| 0.75
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 104
| 2
| 61
| 52
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 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
|
aaaf737867bbb89ce3a0c852b530ae99fe38c5a6
| 184
|
py
|
Python
|
ponyconf/templatetags/ponyconf_tags.py
|
JulienPalard/PonyConf
|
e462fb4bc42a2e7ade4dd230d928b0cecc05fecb
|
[
"Apache-2.0"
] | 11
|
2016-06-15T12:05:18.000Z
|
2017-08-02T14:12:41.000Z
|
ponyconf/templatetags/ponyconf_tags.py
|
JulienPalard/PonyConf
|
e462fb4bc42a2e7ade4dd230d928b0cecc05fecb
|
[
"Apache-2.0"
] | 110
|
2016-07-06T20:04:57.000Z
|
2017-12-01T20:51:52.000Z
|
ponyconf/templatetags/ponyconf_tags.py
|
JulienPalard/PonyConf
|
e462fb4bc42a2e7ade4dd230d928b0cecc05fecb
|
[
"Apache-2.0"
] | 10
|
2016-08-28T14:13:35.000Z
|
2017-06-08T07:27:29.000Z
|
from django import template
from ponyconf.utils import markdown_to_html
register = template.Library()
@register.simple_tag
def markdown(value):
return markdown_to_html(value)
| 15.333333
| 43
| 0.798913
| 25
| 184
| 5.68
| 0.64
| 0.140845
| 0.197183
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.13587
| 184
| 11
| 44
| 16.727273
| 0.893082
| 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
| 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
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
2ac432d09b1f68c88dc3c18161be0924a4fa72a9
| 22
|
py
|
Python
|
05_ejercicio.py
|
jorgemauricio/practica_git
|
9829c15b6a108e46e24c2ca3f6442faf4daad21b
|
[
"MIT"
] | null | null | null |
05_ejercicio.py
|
jorgemauricio/practica_git
|
9829c15b6a108e46e24c2ca3f6442faf4daad21b
|
[
"MIT"
] | null | null | null |
05_ejercicio.py
|
jorgemauricio/practica_git
|
9829c15b6a108e46e24c2ca3f6442faf4daad21b
|
[
"MIT"
] | null | null | null |
print("ejercicio 05")
| 11
| 21
| 0.727273
| 3
| 22
| 5.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 0.090909
| 22
| 1
| 22
| 22
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0.545455
| 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
|
2ac8dea81fb9a9bb5719b71392ae18c323fc4d33
| 28
|
py
|
Python
|
utils/pager.py
|
npc203/Discord-bot-
|
d2339465b0c4ffea784ca781a2c20adf99ee8ce6
|
[
"MIT"
] | 1
|
2020-11-10T10:16:20.000Z
|
2020-11-10T10:16:20.000Z
|
utils/pager.py
|
npc203/Discord-bot-
|
d2339465b0c4ffea784ca781a2c20adf99ee8ce6
|
[
"MIT"
] | null | null | null |
utils/pager.py
|
npc203/Discord-bot-
|
d2339465b0c4ffea784ca781a2c20adf99ee8ce6
|
[
"MIT"
] | 1
|
2021-12-30T13:34:50.000Z
|
2021-12-30T13:34:50.000Z
|
async def Pager(next):
pass
| 14
| 22
| 0.75
| 5
| 28
| 4.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 28
| 2
| 23
| 14
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0
| 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
|
2ae98ac5e7383c50d844ffe6571809facddf0ce5
| 46
|
py
|
Python
|
easyrad/viz.py
|
kmader/radiology_binder
|
05ae658eeb07c3e206b165273912a0c4913da142
|
[
"Apache-2.0"
] | 1
|
2019-03-11T12:34:29.000Z
|
2019-03-11T12:34:29.000Z
|
easyrad/viz.py
|
kmader/radiology_binder
|
05ae658eeb07c3e206b165273912a0c4913da142
|
[
"Apache-2.0"
] | 1
|
2018-08-27T10:14:55.000Z
|
2018-08-27T10:14:55.000Z
|
easyrad/viz.py
|
kmader/radiology_binder
|
05ae658eeb07c3e206b165273912a0c4913da142
|
[
"Apache-2.0"
] | null | null | null |
"""Functions to make visualizations easier"""
| 23
| 45
| 0.76087
| 5
| 46
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108696
| 46
| 1
| 46
| 46
| 0.853659
| 0.847826
| 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
|
631f043d3b4a9983291e56e99ac78053d1612c21
| 122
|
py
|
Python
|
test/data/custom_template_renderer/src/_plugins/test1.py
|
Bob131/obraz
|
2332bc501900e59eef3ec9a22730a5b0215b21b7
|
[
"MIT"
] | 3
|
2019-01-22T13:38:19.000Z
|
2020-12-05T21:52:16.000Z
|
test/data/custom_template_renderer/src/_plugins/test1.py
|
Bob131/obraz
|
2332bc501900e59eef3ec9a22730a5b0215b21b7
|
[
"MIT"
] | 1
|
2020-01-26T11:47:15.000Z
|
2020-06-15T10:44:19.000Z
|
test/data/custom_template_renderer/src/_plugins/test1.py
|
Bob131/obraz
|
2332bc501900e59eef3ec9a22730a5b0215b21b7
|
[
"MIT"
] | 1
|
2018-12-20T03:14:44.000Z
|
2018-12-20T03:14:44.000Z
|
import obraz
@obraz.template_renderer
def string_fmt_render(string, context, site):
return string.format(**context)
| 17.428571
| 45
| 0.778689
| 16
| 122
| 5.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122951
| 122
| 6
| 46
| 20.333333
| 0.859813
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 0.75
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
2d6f59bc0301216a3eaffb97754bbb0b9b844ca7
| 213
|
py
|
Python
|
spsim/typing.py
|
JatGreer/spsim
|
5e33292e23a90c8fa6a0e85f47b35f8d7156bd0f
|
[
"BSD-3-Clause"
] | 1
|
2022-01-11T15:14:02.000Z
|
2022-01-11T15:14:02.000Z
|
spsim/typing.py
|
JatGreer/spsim
|
5e33292e23a90c8fa6a0e85f47b35f8d7156bd0f
|
[
"BSD-3-Clause"
] | null | null | null |
spsim/typing.py
|
JatGreer/spsim
|
5e33292e23a90c8fa6a0e85f47b35f8d7156bd0f
|
[
"BSD-3-Clause"
] | 2
|
2022-01-03T11:44:15.000Z
|
2022-01-24T09:57:08.000Z
|
from typing import NamedTuple
from pydantic import confloat, validator
class DefocusRange(NamedTuple):
"""defocus range, microns, positive is underfocus"""
lower: confloat(gt=0)
upper: confloat(gt=0)
| 26.625
| 56
| 0.746479
| 26
| 213
| 6.115385
| 0.730769
| 0.125786
| 0.138365
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011173
| 0.159624
| 213
| 8
| 57
| 26.625
| 0.877095
| 0.215962
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 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
|
2dcbc6241730966c1a426fdce54185e2da004aab
| 134
|
py
|
Python
|
src/einsteinpy/integrators/__init__.py
|
epsilonethan/einsteinpy
|
6b3ab77151b2c23f03c627fce5a54673a66b9254
|
[
"MIT"
] | 485
|
2019-02-04T09:15:22.000Z
|
2022-03-19T13:50:17.000Z
|
src/einsteinpy/integrators/__init__.py
|
shreyasbapat/einsteinpy
|
a63f2f9ff7e9010d80d7cbd4a519fd8b523ab865
|
[
"MIT"
] | 570
|
2019-02-02T10:57:27.000Z
|
2022-02-26T16:37:05.000Z
|
src/einsteinpy/integrators/__init__.py
|
shreyasbapat/einsteinpy
|
a63f2f9ff7e9010d80d7cbd4a519fd8b523ab865
|
[
"MIT"
] | 250
|
2019-01-30T14:14:14.000Z
|
2022-02-28T21:18:18.000Z
|
from .fantasy import GeodesicIntegrator
from .runge_kutta import RK45, RK4naive
__all__ = ["GeodesicIntegrator", "RK45", "RK4naive"]
| 26.8
| 52
| 0.783582
| 14
| 134
| 7.142857
| 0.642857
| 0.24
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05042
| 0.11194
| 134
| 4
| 53
| 33.5
| 0.789916
| 0
| 0
| 0
| 0
| 0
| 0.223881
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
2de1b40a7ad342a0edc89b833676a469fb3bd658
| 187
|
py
|
Python
|
3PointCenteredDifferenceSecond Derivative.py
|
ericthered1138/NumericalAnalysis
|
2b389bdb5cd1d81fa70bd7a98168d441120313db
|
[
"CC0-1.0"
] | null | null | null |
3PointCenteredDifferenceSecond Derivative.py
|
ericthered1138/NumericalAnalysis
|
2b389bdb5cd1d81fa70bd7a98168d441120313db
|
[
"CC0-1.0"
] | null | null | null |
3PointCenteredDifferenceSecond Derivative.py
|
ericthered1138/NumericalAnalysis
|
2b389bdb5cd1d81fa70bd7a98168d441120313db
|
[
"CC0-1.0"
] | null | null | null |
import math
def f(x):
return math.cos(x)
def g(x,h):
return (f(x+h)+f(x-h)-2*f(x))/(h**2)
print("5.")
print("(a)",g(0,.1))
print("(b)",g(0,.01))
print("(c)",g(0,.001))
| 17
| 41
| 0.470588
| 42
| 187
| 2.095238
| 0.452381
| 0.090909
| 0.102273
| 0.090909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.077922
| 0.176471
| 187
| 11
| 42
| 17
| 0.493506
| 0
| 0
| 0
| 0
| 0
| 0.061798
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.111111
| 0.222222
| 0.555556
| 0.444444
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
|
0
| 5
|
2de251e0ea0950b4fb3c57201e7a1548270b888d
| 227
|
py
|
Python
|
src/data/database/interface_table.py
|
super6liu/technical-analysis-julian
|
dd8868b65d80f78e536f3471d4dc09440de48e62
|
[
"MIT"
] | null | null | null |
src/data/database/interface_table.py
|
super6liu/technical-analysis-julian
|
dd8868b65d80f78e536f3471d4dc09440de48e62
|
[
"MIT"
] | null | null | null |
src/data/database/interface_table.py
|
super6liu/technical-analysis-julian
|
dd8868b65d80f78e536f3471d4dc09440de48e62
|
[
"MIT"
] | 1
|
2021-10-03T13:18:09.000Z
|
2021-10-03T13:18:09.000Z
|
from abc import ABC, abstractmethod
from src.data.database.interface_executor import ExecutorInterface
class TableInterface(ABC):
@abstractmethod
def __init__(self, executor: ExecutorInterface) -> None:
pass
| 22.7
| 66
| 0.76652
| 24
| 227
| 7.041667
| 0.708333
| 0.201183
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.167401
| 227
| 9
| 67
| 25.222222
| 0.89418
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0.166667
| 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
| 0
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
2de50e7472d24c30b3b9b7c1acbe4ba76e7f712c
| 98
|
py
|
Python
|
03_tuple/02_only_one_tuple.py
|
hemuke/python
|
bc99f2b5aee997083ae31f59a2b33db48c8255f3
|
[
"Apache-2.0"
] | null | null | null |
03_tuple/02_only_one_tuple.py
|
hemuke/python
|
bc99f2b5aee997083ae31f59a2b33db48c8255f3
|
[
"Apache-2.0"
] | null | null | null |
03_tuple/02_only_one_tuple.py
|
hemuke/python
|
bc99f2b5aee997083ae31f59a2b33db48c8255f3
|
[
"Apache-2.0"
] | null | null | null |
#! /root/anaconda3/bin/python
t = (18)
print(t)
print(type(t))
t = (18,)
print(t)
print(type(t))
| 10.888889
| 29
| 0.612245
| 18
| 98
| 3.333333
| 0.444444
| 0.1
| 0.266667
| 0.3
| 0.633333
| 0.633333
| 0.633333
| 0
| 0
| 0
| 0
| 0.058824
| 0.132653
| 98
| 8
| 30
| 12.25
| 0.647059
| 0.285714
| 0
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.666667
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
2dec32bc73ff5c111e1c70155e0fa27304e2ae69
| 207
|
py
|
Python
|
commons/contrib/rest_framework/parser.py
|
ozet-team/ozet-server
|
4772d37339634adee6ace65a5e2380df4bd22bbb
|
[
"MIT"
] | null | null | null |
commons/contrib/rest_framework/parser.py
|
ozet-team/ozet-server
|
4772d37339634adee6ace65a5e2380df4bd22bbb
|
[
"MIT"
] | 4
|
2021-11-27T14:15:55.000Z
|
2021-12-10T12:59:44.000Z
|
commons/contrib/rest_framework/parser.py
|
ozet-team/ozet-server
|
4772d37339634adee6ace65a5e2380df4bd22bbb
|
[
"MIT"
] | null | null | null |
from djangorestframework_camel_case.parser import CamelCaseJSONParser
class NoUnderscoreBeforeNumberCamelCaseJSONParser(CamelCaseJSONParser):
json_underscoreize = {"no_underscore_before_number": True}
| 34.5
| 71
| 0.874396
| 17
| 207
| 10.294118
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.077295
| 207
| 5
| 72
| 41.4
| 0.91623
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 0.130435
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 1
| 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
| 0
| 1
| 0
|
0
| 5
|
930839008b4acc0aace585a34757aea3ec0c4ca8
| 211
|
py
|
Python
|
app/exceptions.py
|
chernykovv/Tataa-Flask-Project
|
5c12c2f55f72b5b69acf80b8cdee3971d3cfc1ed
|
[
"MIT"
] | null | null | null |
app/exceptions.py
|
chernykovv/Tataa-Flask-Project
|
5c12c2f55f72b5b69acf80b8cdee3971d3cfc1ed
|
[
"MIT"
] | null | null | null |
app/exceptions.py
|
chernykovv/Tataa-Flask-Project
|
5c12c2f55f72b5b69acf80b8cdee3971d3cfc1ed
|
[
"MIT"
] | null | null | null |
class ValidationError(ValueError):
pass
class IntegrityError(Exception):
pass
class AlreadyExistsError(Exception):
pass
class EmptyDataFrameException(Exception):
pass
class S3Exception(Exception):
pass
| 14.066667
| 41
| 0.815166
| 20
| 211
| 8.6
| 0.45
| 0.209302
| 0.313953
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005348
| 0.113744
| 211
| 14
| 42
| 15.071429
| 0.914439
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 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
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
faa495ce374fcc1549a8744b4825cc3930216585
| 46
|
py
|
Python
|
zoo/policies/open-agent/open_agent/version.py
|
Semanti1/smarts_baseline
|
77dbc350f37ae7735c74a2b8f1585c2818ac3421
|
[
"MIT"
] | null | null | null |
zoo/policies/open-agent/open_agent/version.py
|
Semanti1/smarts_baseline
|
77dbc350f37ae7735c74a2b8f1585c2818ac3421
|
[
"MIT"
] | null | null | null |
zoo/policies/open-agent/open_agent/version.py
|
Semanti1/smarts_baseline
|
77dbc350f37ae7735c74a2b8f1585c2818ac3421
|
[
"MIT"
] | null | null | null |
VERSION = "0.1.192"
SOLVER_VERSION = "0.0.6"
| 11.5
| 24
| 0.630435
| 9
| 46
| 3.111111
| 0.666667
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.205128
| 0.152174
| 46
| 3
| 25
| 15.333333
| 0.512821
| 0
| 0
| 0
| 0
| 0
| 0.26087
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
fae1d8f8de71f63880ee0a62727d3f1e9cbe110c
| 93,987
|
py
|
Python
|
galaxyMetaomics/seqs_translator.py
|
Rothamsted/script-collection
|
a0db1c59ffd1e51d4b7e9ef1ee586766ec898c20
|
[
"MIT"
] | 1
|
2017-03-07T10:07:06.000Z
|
2017-03-07T10:07:06.000Z
|
galaxyMetaomics/seqs_translator.py
|
Rothamsted/script-collection
|
a0db1c59ffd1e51d4b7e9ef1ee586766ec898c20
|
[
"MIT"
] | null | null | null |
galaxyMetaomics/seqs_translator.py
|
Rothamsted/script-collection
|
a0db1c59ffd1e51d4b7e9ef1ee586766ec898c20
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
########################
# COPYRIGHT 2005,2006 #
# Alexander Kozik #
# http://www.atgc.org/ #
# akozik@atgc.org #
########################
def HelpTranslation():
print ""
print " SEQS PROCESSOR HELP: "
print " ------------------- "
help_text = """
Input file must be in FASTA format. Description of output:
if no translation frame is chosen "0" then four output files will be generated:
1. *.fasta - contains processed sequences in FASTA format
2. *.stat - contains information about GC% content per sequence
3. *.tab - tab delimited file with sequences
4. *.01BIN - binary DNA representation (A-00 T-11 G-01 C-10)
if first translation frame is chosen "1" then eleven output files will be generated:
1. *.fasta - contains processed sequences in FASTA format
2. *.forwrd - forward orientation, all non ATGCN letters replaced by "N"
3. *.revcom - reverse-compliment orientation based on "forward" sequences
4. *.stat - contains information about GC% content per sequence
5. *.tab - tab delimited file with sequences
6. *.tr_frame1 - translated sequences - frame 1
7. *.tr_longest_frame - extracted longest frame
8. *.tr_single_frame - extracted sequences with single ORF
9. *.x0_log - log file with general info and error messages
10. *.x1_log - log file with statistical info about translation - frame 1
11. *.01BIN - binary DNA representation (A-00 T-11 G-01 C-10)
if three translation frames are chosen "3" then sixteen output files will be generated:
1. *.fasta - contains processed sequences in FASTA format
2. *.forwrd - forward orientation, all non ATGCN letters replaced by "N"
3. *.revcom - reverse-compliment orientation based on "forward" sequences
4. *.stat - contains information about GC% content per sequence
5. *.tab - tab delimited file with sequences
6. *.tr_frame1 - translated sequences - frame 1
7. *.tr_frame2 - translated sequences - frame 2
8. *.tr_frame3 - translated sequences - frame 3
9. *.tr_longest_frame - extracted longest frame
10. *.tr_single_frame - extracted sequences with single ORF
11. *.x0_log - log file with general info and error messages
12. *.x1_log - log file with statistical info about translation - frame 1
13. *.x2_log - log file with statistical info about translation - frame 2
14. *.x3_log - log file with statistical info about translation - frame 3
15. *.xx_log - log file with statistical info about all three translation ORFs
16. *.01BIN - binary DNA representation (A-00 T-11 G-01 C-10)
if six translation frames are chosen "6" then twenty two output files will be generated:
1. *.fasta - contains processed sequences in FASTA format
2. *.forwrd - forward orientation, all non ATGCN letters replaced by "N"
3. *.revcom - reverse-compliment orientation based on "forward" sequences
4. *.stat - contains information about GC% content per sequence
5. *.tab - tab delimited file with sequences
6. *.tr_frame1 - translated sequences - frame 1
7. *.tr_frame2 - translated sequences - frame 2
8. *.tr_frame3 - translated sequences - frame 3
9. *.tr_frame4 - translated sequences - frame 4
10. *.tr_frame5 - translated sequences - frame 5
11. *.tr_frame6 - translated sequences - frame 6
12. *.tr_longest_frame - extracted longest frame
13. *.tr_single_frame - extracted sequences with single ORF
14. *.x0_log - log file with general info and error messages
15. *.x1_log - log file with statistical info about translation - frame 1
16. *.x2_log - log file with statistical info about translation - frame 2
17. *.x3_log - log file with statistical info about translation - frame 3
18. *.x4_log - log file with statistical info about translation - frame 4
19. *.x5_log - log file with statistical info about translation - frame 5
20. *.x6_log - log file with statistical info about translation - frame 6
21. *.xx_log - log file with statistical info about all six translation ORFs
22. *.01BIN - binary DNA representation (A-00 T-11 G-01 C-10)
Note, log files must be viewed using Excel like spreadsheet editor
"""
print help_text
def CodonTranslation1():
### STANDARD TRANSLATION ###
#print ""
#print "TRANSLATION TABLE 1"
#print ""
time.sleep(2)
global gl_Ter
global gl_Phe, gl_Leu, gl_Ser, gl_Tyr, gl_Cys, \
gl_Trp, gl_Pro, gl_His, gl_Gln, gl_Arg, \
gl_Ile, gl_Met, gl_Thr, gl_Asn, gl_Lys, \
gl_Val, gl_Ala, gl_Asp, gl_Glu, gl_Gly
global gl_Any
global gl_AmAcLib
gl_Ter = [ "TAA", "TAG", "TGA" ]
gl_Phe = [ "TTT", "TTC" ]
gl_Leu = [ "TTA", "TTG", "CTT", "CTC", "CTA", "CTG", "CTN" ]
gl_Ser = [ "TCT", "TCC", "TCA", "TCG", "TCN", "AGT", "AGC" ]
gl_Tyr = [ "TAT", "TAC" ]
gl_Cys = [ "TGT", "TGC" ]
gl_Trp = [ "TGG" ]
gl_Pro = [ "CCT", "CCC", "CCA", "CCG", "CCN" ]
gl_His = [ "CAT", "CAC" ]
gl_Gln = [ "CAA", "CAG" ]
gl_Arg = [ "CGT", "CGC", "CGA", "CGG", "CGN", "AGA", "AGG" ]
gl_Ile = [ "ATT", "ATC", "ATA" ]
gl_Met = [ "ATG" ]
gl_Thr = [ "ACT", "ACC", "ACA", "ACG", "ACN" ]
gl_Asn = [ "AAT", "AAC" ]
gl_Lys = [ "AAA", "AAG" ]
gl_Val = [ "GTT", "GTC", "GTA", "GTG", "GTN" ]
gl_Ala = [ "GCT", "GCC", "GCA", "GCG", "GCN" ]
gl_Asp = [ "GAT", "GAC" ]
gl_Glu = [ "GAA", "GAG" ]
gl_Gly = [ "GGT", "GGC", "GGA", "GGG", "GGN" ]
gl_Any = [ "AAN", "ATN", "AGN", \
"TAN", "TTN", "TGN", \
"GAN", \
"CAN", \
"ANA", "ANT", "ANG", "ANC", \
"TNA", "TNT", "TNG", "TNC", \
"GNA", "GNT", "GNG", "GNC", \
"CNA", "CNT", "CNG", "CNC", \
"NAA", "NAT", "NAG", "NAC", \
"NTA", "NTT", "NTG", "NTC", \
"NGA", "NGT", "NGG", "NGC", \
"NCA", "NCT", "NCG", "NCC", \
"NNA", "NNT", "NNG", "NNC", \
"ANN", "TNN", "GNN", "CNN", \
"NAN", "NTN", "NGN", "NCN", \
"NNN" ]
######################################
gl_AmAcLib = [ gl_Ter, \
gl_Phe, gl_Leu, gl_Ser, gl_Tyr, gl_Cys, \
gl_Trp, gl_Pro, gl_His, gl_Gln, gl_Arg, \
gl_Ile, gl_Met, gl_Thr, gl_Asn, gl_Lys, \
gl_Val, gl_Ala, gl_Asp, gl_Glu, gl_Gly, \
gl_Any ]
######################################
def CodonTranslation2():
### Vertebrate Mitochondrial ###
#####################################
#
# Differences from the Standard Code:
#
# Code 2 Standard
#
# AGA Ter * Arg R
# AGG Ter * Arg R
# AUA Met M Ile I
# UGA Trp W Ter *
#
#####################################
#print ""
#print "TRANSLATION TABLE 2"
#print ""
time.sleep(2)
global gl_Ter
global gl_Phe, gl_Leu, gl_Ser, gl_Tyr, gl_Cys, \
gl_Trp, gl_Pro, gl_His, gl_Gln, gl_Arg, \
gl_Ile, gl_Met, gl_Thr, gl_Asn, gl_Lys, \
gl_Val, gl_Ala, gl_Asp, gl_Glu, gl_Gly
global gl_Any
global gl_AmAcLib
gl_Ter = [ "TAA", "TAG", "AGA", "AGG" ]
gl_Phe = [ "TTT", "TTC" ]
gl_Leu = [ "TTA", "TTG", "CTT", "CTC", "CTA", "CTG", "CTN" ]
gl_Ser = [ "TCT", "TCC", "TCA", "TCG", "TCN", "AGT", "AGC" ]
gl_Tyr = [ "TAT", "TAC" ]
gl_Cys = [ "TGT", "TGC" ]
gl_Trp = [ "TGG", "TGA" ]
gl_Pro = [ "CCT", "CCC", "CCA", "CCG", "CCN" ]
gl_His = [ "CAT", "CAC" ]
gl_Gln = [ "CAA", "CAG" ]
gl_Arg = [ "CGT", "CGC", "CGA", "CGG", "CGN" ]
gl_Ile = [ "ATT", "ATC" ]
gl_Met = [ "ATG", "ATA" ]
gl_Thr = [ "ACT", "ACC", "ACA", "ACG", "ACN" ]
gl_Asn = [ "AAT", "AAC" ]
gl_Lys = [ "AAA", "AAG" ]
gl_Val = [ "GTT", "GTC", "GTA", "GTG", "GTN" ]
gl_Ala = [ "GCT", "GCC", "GCA", "GCG", "GCN" ]
gl_Asp = [ "GAT", "GAC" ]
gl_Glu = [ "GAA", "GAG" ]
gl_Gly = [ "GGT", "GGC", "GGA", "GGG", "GGN" ]
gl_Any = [ "AAN", "ATN", "AGN", \
"TAN", "TTN", "TGN", \
"GAN", \
"CAN", \
"ANA", "ANT", "ANG", "ANC", \
"TNA", "TNT", "TNG", "TNC", \
"GNA", "GNT", "GNG", "GNC", \
"CNA", "CNT", "CNG", "CNC", \
"NAA", "NAT", "NAG", "NAC", \
"NTA", "NTT", "NTG", "NTC", \
"NGA", "NGT", "NGG", "NGC", \
"NCA", "NCT", "NCG", "NCC", \
"NNA", "NNT", "NNG", "NNC", \
"ANN", "TNN", "GNN", "CNN", \
"NAN", "NTN", "NGN", "NCN", \
"NNN" ]
######################################
gl_AmAcLib = [ gl_Ter, \
gl_Phe, gl_Leu, gl_Ser, gl_Tyr, gl_Cys, \
gl_Trp, gl_Pro, gl_His, gl_Gln, gl_Arg, \
gl_Ile, gl_Met, gl_Thr, gl_Asn, gl_Lys, \
gl_Val, gl_Ala, gl_Asp, gl_Glu, gl_Gly, \
gl_Any ]
######################################
def CodonTranslation3():
### Yeast Mitochondrial ###
#####################################
#
# Differences from the Standard Code:
#
# Code 3 Standard
#
# AUA Met M Ile I
# CUU Thr T Leu L
# CUC Thr T Leu L
# CUA Thr T Leu L
# CUG Thr T Leu L
# UGA Trp W Ter *
#
# CGA absent Arg R
# CGC absent Arg R
#
#####################################
#print ""
#print "TRANSLATION TABLE 3"
#print ""
time.sleep(2)
global gl_Ter
global gl_Phe, gl_Leu, gl_Ser, gl_Tyr, gl_Cys, \
gl_Trp, gl_Pro, gl_His, gl_Gln, gl_Arg, \
gl_Ile, gl_Met, gl_Thr, gl_Asn, gl_Lys, \
gl_Val, gl_Ala, gl_Asp, gl_Glu, gl_Gly
global gl_Any
global gl_AmAcLib
gl_Ter = [ "TAA", "TAG" ]
gl_Phe = [ "TTT", "TTC" ]
gl_Leu = [ "TTA", "TTG" ]
gl_Ser = [ "TCT", "TCC", "TCA", "TCG", "TCN", "AGT", "AGC" ]
gl_Tyr = [ "TAT", "TAC" ]
gl_Cys = [ "TGT", "TGC" ]
gl_Trp = [ "TGG", "TGA" ]
gl_Pro = [ "CCT", "CCC", "CCA", "CCG", "CCN" ]
gl_His = [ "CAT", "CAC" ]
gl_Gln = [ "CAA", "CAG" ]
# gl_Arg = [ "CGT", "CGC", "CGA", "CGG", "CGN", "AGA", "AGG" ]
gl_Arg = [ "CGT", "CGG", "CGN", "AGA", "AGG" ]
gl_Ile = [ "ATT", "ATC" ]
gl_Met = [ "ATG", "ATA" ]
gl_Thr = [ "ACT", "ACC", "ACA", "ACG", "ACN", "CTT", "CTC", "CTA", "CTG", "CTN" ]
gl_Asn = [ "AAT", "AAC" ]
gl_Lys = [ "AAA", "AAG" ]
gl_Val = [ "GTT", "GTC", "GTA", "GTG", "GTN" ]
gl_Ala = [ "GCT", "GCC", "GCA", "GCG", "GCN" ]
gl_Asp = [ "GAT", "GAC" ]
gl_Glu = [ "GAA", "GAG" ]
gl_Gly = [ "GGT", "GGC", "GGA", "GGG", "GGN" ]
gl_Any = [ "AAN", "ATN", "AGN", \
"TAN", "TTN", "TGN", \
"GAN", \
"CAN", \
"ANA", "ANT", "ANG", "ANC", \
"TNA", "TNT", "TNG", "TNC", \
"GNA", "GNT", "GNG", "GNC", \
"CNA", "CNT", "CNG", "CNC", \
"NAA", "NAT", "NAG", "NAC", \
"NTA", "NTT", "NTG", "NTC", \
"NGA", "NGT", "NGG", "NGC", \
"NCA", "NCT", "NCG", "NCC", \
"NNA", "NNT", "NNG", "NNC", \
"ANN", "TNN", "GNN", "CNN", \
"NAN", "NTN", "NGN", "NCN", \
"NNN" ]
######################################
gl_AmAcLib = [ gl_Ter, \
gl_Phe, gl_Leu, gl_Ser, gl_Tyr, gl_Cys, \
gl_Trp, gl_Pro, gl_His, gl_Gln, gl_Arg, \
gl_Ile, gl_Met, gl_Thr, gl_Asn, gl_Lys, \
gl_Val, gl_Ala, gl_Asp, gl_Glu, gl_Gly, \
gl_Any ]
######################################
def Seqs_Translator(proper_id, have_seqs, trans_fr, gen_code,gl_tr_file1,gl_tr_file2,gl_tr_file3,gl_tr_file4,gl_tr_file5,gl_tr_file6):
abc_list = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', \
'J','K','L','M','N','O','P','Q','R','S','T', \
'U','V','W','X','Y','Z']
bad_list = [ 'B', 'D', 'E', 'F', 'H', 'I', \
'J','K','L','M', 'O','P','Q','R','S', \
'U','V','W','X','Y','Z'] # REMOVED A T G C N
global gl_Ter
global gl_Phe, gl_Leu, gl_Ser, gl_Tyr, gl_Cys, \
gl_Trp, gl_Pro, gl_His, gl_Gln, gl_Arg, \
gl_Ile, gl_Met, gl_Thr, gl_Asn, gl_Lys, \
gl_Val, gl_Ala, gl_Asp, gl_Glu, gl_Gly
global gl_Any
global gl_AmAcLib
global out1,out2,out3,out4,out5,out6,gl_fw_file7, gl_rc_file8, gl_l0_file9, \
gl_l1_file9, gl_l2_file9, gl_l3_file9, \
gl_l4_file9, gl_l5_file9, gl_l6_file9, \
gl_ls_file9, gl_s_file10, gl_l_file10, \
tab_out1, tab_out2
### DEBUGGING ###
# print proper_id + " " + "FRAME: " + `trans_fr` + " -=- GENE_CODE: " + `gen_code`
t = have_seqs # DNA sequence
t = string.upper(t) # all uppercase
t = re.sub("-", "", t) # remove all dashes
t = list(t) # string -> list of chars
#########################################################
### ONLY A T G C N ARE ALLOWED ###
### EVERYTHING ELSE IS REPLACED BY "N" ###
mooba = 0 # COUNTER OF ALL LETTERS
booba = 0 # COUNTER OF BAD LETTERS
for item in t:
if item in bad_list:
t[mooba] = "N"
booba = booba + 1
mooba = mooba + 1
#########################################################
t_r = t[:] # will be reverse string
t_r.reverse() # inplace reverse the list
t = string.join(t, '') # list of strings -> forward string
t_r = string.join(t_r, '') # list of strings -> reverse string
#########################################
t_r = re.sub("A", "t", t_r) # A -> t
t_r = re.sub("T", "a", t_r) # T -> a
t_r = re.sub("G", "c", t_r) # G -> c
t_r = re.sub("C", "g", t_r) # C -> g
### NOTE THAT "N" REMAINS AS "N" ###
#########################################
t_r = string.upper(t_r) # back to uppercase
#########################################
l = len(t)
# print l
l_r = len(t_r)
'''gl_fw_file7.write(">" + proper_id + " forward " + `l` + " nt" + '\n' + t + '\n')
gl_rc_file8.write(">" + proper_id + " rev-comp " + `l_r` + " nt" + '\n' + t_r + '\n')
tab_out1.write(proper_id + '\t' + `l` + '\t' + t + '\n')
tab_out2.write(proper_id + '\t' + `l_r` + '\t' + t_r + '\n')'''
if booba != 0:
gl_l0_file9.write(proper_id + '\t' + `booba` + '\t' + "non ATGCN letters" + '\n')
### TRANSLATION ONE FRAME ###
if trans_fr == 1:
k1 = 0
stop_count = 0
any_count = 0
longest_fr = 0
longest_orf = ""
total_size = 0
frm_number = 0
my_list = []
while k1 < l:
m1 = k1 + 3
p1 = t[k1:m1] # triplet frame 1
if p1 in gl_Any:
my_list.append("X")
any_count = any_count + 1
if p1 in gl_Ter:
my_list.append("*")
stop_count = stop_count + 1
if p1 in gl_Phe:
my_list.append("F")
if p1 in gl_Leu:
my_list.append("L")
if p1 in gl_Ser:
my_list.append("S")
if p1 in gl_Tyr:
my_list.append("Y")
if p1 in gl_Cys:
my_list.append("C")
if p1 in gl_Trp:
my_list.append("W")
if p1 in gl_Pro:
my_list.append("P")
if p1 in gl_His:
my_list.append("H")
if p1 in gl_Gln:
my_list.append("Q")
if p1 in gl_Arg:
my_list.append("R")
if p1 in gl_Ile:
my_list.append("I")
if p1 in gl_Met:
my_list.append("M")
if p1 in gl_Thr:
my_list.append("T")
if p1 in gl_Asn:
my_list.append("N")
if p1 in gl_Lys:
my_list.append("K")
if p1 in gl_Val:
my_list.append("V")
if p1 in gl_Ala:
my_list.append("A")
if p1 in gl_Asp:
my_list.append("D")
if p1 in gl_Glu:
my_list.append("E")
if p1 in gl_Gly:
my_list.append("G")
k1 = k1 + 3
###########
my_string = "".join(my_list)
total_size = len(my_string)
my_subset = my_string.split('*')
for fragment in my_subset:
fragment_len = len(fragment)
# if fragment_len >= longest_fr:
if fragment_len > longest_fr:
longest_fr = fragment_len
longest_orf = fragment
if fragment_len != 0:
frm_number = frm_number + 1
full_frame = "UNDEFINED"
if longest_fr >= total_size - 1:
full_frame = "SINGLE_ORF"
if longest_fr < total_size - 1:
full_frame = "MULTIPLE_ORFs"
gl_tr_file1.write(">" + proper_id + "_fr1" + " translation_frame:1" + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_tr_file1.write(my_string + '\n')
gl_l1_file9.write(proper_id + '\t' + "fr_1" + '\t' + `stop_count` + '\t' + `any_count` + \
'\t' + `longest_fr` + '\t' + `total_size` + '\t' + `frm_number` + '\n')
gl_l_file10.write(">" + proper_id + "_fr1" + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_l_file10.write(longest_orf + '\n')
if full_frame == "SINGLE_ORF":
### CHECK FOR POLY_A AND POLY_T ( ..FFFFF.. OR ..KKKKK.. ) ###
count_fff = my_string.count("F")
count_kkk = my_string.count("K")
fract_fff = count_fff*1.0/total_size
fract_kkk = count_kkk*1.0/total_size
if fract_fff <= 0.70 and fract_kkk <= 0.70:
gl_s_file10.write(">" + proper_id + "_fr1 " + `total_size` + " STOP:" + `stop_count` \
+ " ANY(X):" + `any_count` + '\n' + my_string + '\n')
if fract_fff > 0.70:
fract_fff = str(round(fract_fff,2))
gl_l0_file9.write(proper_id + '\t' + fract_fff + '\t' + "poly_FFF translation" + '\n')
if fract_kkk > 0.70:
fract_kkk = str(round(fract_kkk,2))
gl_l0_file9.write(proper_id + '\t' + fract_kkk + '\t' + "poly_KKK translation" + '\n')
### TRANSLATION THREE FRAMES ###
if trans_fr == 3:
k1 = 0
k2 = 1
k3 = 2
###############
stop_count1 = 0
any_count1 = 0
longest_fr1 = 0
longest_orf1 = ""
total_size1 = 0
frm_number1 = 0
my_list1 = []
###############
stop_count2 = 0
any_count2 = 0
longest_fr2 = 0
longest_orf2 = ""
total_size2 = 0
frm_number2 = 0
my_list2 = []
###############
stop_count3 = 0
any_count3 = 0
longest_fr3 = 0
longest_orf3 = ""
total_size3 = 0
frm_number3 = 0
my_list3 = []
###############
while k1 < l:
m1 = k1 + 3
m2 = k2 + 3
m3 = k3 + 3
p1 = t[k1:m1] # triplet frame 1
p2 = t[k2:m2] # triplet frame 2
p3 = t[k3:m3] # triplet frame 3
#################################
if p1 in gl_Any:
my_list1.append("X")
any_count1 = any_count1 + 1
if p1 in gl_Ter:
my_list1.append("*")
stop_count1 = stop_count1 + 1
if p1 in gl_Phe:
my_list1.append("F")
if p1 in gl_Leu:
my_list1.append("L")
if p1 in gl_Ser:
my_list1.append("S")
if p1 in gl_Tyr:
my_list1.append("Y")
if p1 in gl_Cys:
my_list1.append("C")
if p1 in gl_Trp:
my_list1.append("W")
if p1 in gl_Pro:
my_list1.append("P")
if p1 in gl_His:
my_list1.append("H")
if p1 in gl_Gln:
my_list1.append("Q")
if p1 in gl_Arg:
my_list1.append("R")
if p1 in gl_Ile:
my_list1.append("I")
if p1 in gl_Met:
my_list1.append("M")
if p1 in gl_Thr:
my_list1.append("T")
if p1 in gl_Asn:
my_list1.append("N")
if p1 in gl_Lys:
my_list1.append("K")
if p1 in gl_Val:
my_list1.append("V")
if p1 in gl_Ala:
my_list1.append("A")
if p1 in gl_Asp:
my_list1.append("D")
if p1 in gl_Glu:
my_list1.append("E")
if p1 in gl_Gly:
my_list1.append("G")
##################################
if p2 in gl_Any:
my_list2.append("X")
any_count2 = any_count2 + 1
if p2 in gl_Ter:
my_list2.append("*")
stop_count2 = stop_count2 + 1
if p2 in gl_Phe:
my_list2.append("F")
if p2 in gl_Leu:
my_list2.append("L")
if p2 in gl_Ser:
my_list2.append("S")
if p2 in gl_Tyr:
my_list2.append("Y")
if p2 in gl_Cys:
my_list2.append("C")
if p2 in gl_Trp:
my_list2.append("W")
if p2 in gl_Pro:
my_list2.append("P")
if p2 in gl_His:
my_list2.append("H")
if p2 in gl_Gln:
my_list2.append("Q")
if p2 in gl_Arg:
my_list2.append("R")
if p2 in gl_Ile:
my_list2.append("I")
if p2 in gl_Met:
my_list2.append("M")
if p2 in gl_Thr:
my_list2.append("T")
if p2 in gl_Asn:
my_list2.append("N")
if p2 in gl_Lys:
my_list2.append("K")
if p2 in gl_Val:
my_list2.append("V")
if p2 in gl_Ala:
my_list2.append("A")
if p2 in gl_Asp:
my_list2.append("D")
if p2 in gl_Glu:
my_list2.append("E")
if p2 in gl_Gly:
my_list2.append("G")
##################################
if p3 in gl_Any:
my_list3.append("X")
any_count3 = any_count3 + 1
if p3 in gl_Ter:
my_list3.append("*")
stop_count3 = stop_count3 + 1
if p3 in gl_Phe:
my_list3.append("F")
if p3 in gl_Leu:
my_list3.append("L")
if p3 in gl_Ser:
my_list3.append("S")
if p3 in gl_Tyr:
my_list3.append("Y")
if p3 in gl_Cys:
my_list3.append("C")
if p3 in gl_Trp:
my_list3.append("W")
if p3 in gl_Pro:
my_list3.append("P")
if p3 in gl_His:
my_list3.append("H")
if p3 in gl_Gln:
my_list3.append("Q")
if p3 in gl_Arg:
my_list3.append("R")
if p3 in gl_Ile:
my_list3.append("I")
if p3 in gl_Met:
my_list3.append("M")
if p3 in gl_Thr:
my_list3.append("T")
if p3 in gl_Asn:
my_list3.append("N")
if p3 in gl_Lys:
my_list3.append("K")
if p3 in gl_Val:
my_list3.append("V")
if p3 in gl_Ala:
my_list3.append("A")
if p3 in gl_Asp:
my_list3.append("D")
if p3 in gl_Glu:
my_list3.append("E")
if p3 in gl_Gly:
my_list3.append("G")
##################################
k1 = k1 + 3
k2 = k2 + 3 # next triplet frame2
k3 = k3 + 3 # next triplet frame3
###########
my_string1 = "".join(my_list1)
my_string2 = "".join(my_list2)
my_string3 = "".join(my_list3)
#############################
total_size1 = len(my_string1)
total_size2 = len(my_string2)
total_size3 = len(my_string3)
#############################
my_subset1 = my_string1.split('*')
my_subset2 = my_string2.split('*')
my_subset3 = my_string3.split('*')
#############################
## 1
for fragment1 in my_subset1:
fragment_len1 = len(fragment1)
# if fragment_len1 >= longest_fr1:
if fragment_len1 > longest_fr1:
longest_fr1 = fragment_len1
longest_orf1 = fragment1
if fragment_len1 != 0:
frm_number1 = frm_number1 + 1
## 2
for fragment2 in my_subset2:
fragment_len2 = len(fragment2)
# if fragment_len2 >= longest_fr2:
if fragment_len2 > longest_fr2:
longest_fr2 = fragment_len2
longest_orf2 = fragment2
if fragment_len2 != 0:
frm_number2 = frm_number2 + 1
## 3
for fragment3 in my_subset3:
fragment_len3 = len(fragment3)
# if fragment_len3 >= longest_fr3:
if fragment_len3 > longest_fr3:
longest_fr3 = fragment_len3
longest_orf3 = fragment3
if fragment_len3 != 0:
frm_number3 = frm_number3 + 1
#############################
full_frame1 = "UNDEFINED"
full_frame2 = "UNDEFINED"
full_frame3 = "UNDEFINED"
#############################
## 1
if longest_fr1 >= total_size1 - 1:
full_frame1 = "SINGLE_ORF"
if longest_fr1 < total_size1 - 1:
full_frame1 = "MULTIPLE_ORFs"
## 2
if longest_fr2 >= total_size2 - 1:
full_frame2 = "SINGLE_ORF"
if longest_fr2 < total_size2 - 1:
full_frame2 = "MULTIPLE_ORFs"
## 3
if longest_fr3 >= total_size3 - 1:
full_frame3 = "SINGLE_ORF"
if longest_fr3 < total_size3 - 1:
full_frame3 = "MULTIPLE_ORFs"
#############################
## 1
gl_tr_file1.write(">" + proper_id + "_fr1" + " translation_frame:1" + \
" STOP:" + `stop_count1` + " ANY(X):" + `any_count1` + \
" LONGEST:" + `longest_fr1` + " TOTAL_LENGTH:" + `total_size1` + \
" " + full_frame1 + ":" + `frm_number1` + '\n')
gl_tr_file1.write(my_string1 + '\n')
## 2
gl_tr_file2.write(">" + proper_id + "_fr2" + " translation_frame:2" + \
" STOP:" + `stop_count2` + " ANY(X):" + `any_count2` + \
" LONGEST:" + `longest_fr2` + " TOTAL_LENGTH:" + `total_size2` + \
" " + full_frame2 + ":" + `frm_number2` + '\n')
gl_tr_file2.write(my_string2 + '\n')
## 3
gl_tr_file3.write(">" + proper_id + "_fr3" + " translation_frame:3" + \
" STOP:" + `stop_count3` + " ANY(X):" + `any_count3` + \
" LONGEST:" + `longest_fr3` + " TOTAL_LENGTH:" + `total_size3` + \
" " + full_frame3 + ":" + `frm_number3` + '\n')
gl_tr_file3.write(my_string3 + '\n')
#############################
## LONGEST ##
llen1 = len(longest_orf1)
llen2 = len(longest_orf2)
llen3 = len(longest_orf3)
lfrm = " "
lfrm1 = ""
lfrm2 = ""
lfrm3 = ""
dupl_status = " UNIQ_LONG"
## 1
if llen1 >= llen2 and llen1 >= llen3:
if llen1 == llen2 or llen1 == llen3:
dupl_status = " DUPL_LONG"
lfr = "_fr1"
lfrm1 = "fr_1"
longest_orf = longest_orf1
stop_count = stop_count1
any_count = any_count1
longest_fr = longest_fr1
total_size = total_size1
full_frame = full_frame1
frm_number = frm_number1
longest_len = llen1
gl_l_file10.write(">" + proper_id + lfr + dupl_status + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_l_file10.write(longest_orf + '\n')
## 2
if llen2 >= llen1 and llen2 >= llen3:
if llen2 == llen1 or llen2 == llen3:
dupl_status = " DUPL_LONG"
lfr = "_fr2"
lfrm2 = "fr_2"
longest_orf = longest_orf2
stop_count = stop_count2
any_count = any_count2
longest_fr = longest_fr2
total_size = total_size2
full_frame = full_frame2
frm_number = frm_number2
longest_len = llen2
gl_l_file10.write(">" + proper_id + lfr + dupl_status + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_l_file10.write(longest_orf + '\n')
## 3
if llen3 >= llen1 and llen3 >= llen2:
if llen3 == llen1 or llen3 == llen2:
dupl_status = " DUPL_LONG"
lfr = "_fr3"
lfrm3 = "fr_3"
longest_orf = longest_orf3
stop_count = stop_count3
any_count = any_count3
longest_fr = longest_fr3
total_size = total_size3
full_frame = full_frame3
frm_number = frm_number3
longest_len = llen3
gl_l_file10.write(">" + proper_id + lfr + dupl_status + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_l_file10.write(longest_orf + '\n')
#############################
gl_l1_file9.write(proper_id + '\t' + "fr_1" + '\t' + `stop_count1` + '\t' + `any_count1` + \
'\t' + `longest_fr1` + '\t' + `total_size1` + '\t' + `frm_number1` + '\n')
gl_l2_file9.write(proper_id + '\t' + "fr_2" + '\t' + `stop_count2` + '\t' + `any_count2` + \
'\t' + `longest_fr2` + '\t' + `total_size2` + '\t' + `frm_number2` + '\n')
gl_l3_file9.write(proper_id + '\t' + "fr_3" + '\t' + `stop_count3` + '\t' + `any_count3` + \
'\t' + `longest_fr3` + '\t' + `total_size3` + '\t' + `frm_number3` + '\n')
#############################
if dupl_status == " UNIQ_LONG":
dupl_wr = "UNIQ"
if dupl_status == " DUPL_LONG":
dupl_wr = "DUPL"
lfrm_list = [lfrm1, lfrm2, lfrm3]
for l_item in lfrm_list:
if l_item != "":
# lfrm = lfrm + " " + l_item + " "
lfrm = lfrm + l_item + " "
# lfrm = lfrm[1:]
# lfrm = lfrm[:-1]
gl_ls_file9.write(proper_id + '\t' + \
"fr_1" + '\t' + `stop_count1` + '\t' + `any_count1` + \
'\t' + `longest_fr1` + '\t' + `total_size1` + '\t' + `frm_number1` + '\t' + \
"fr_2" + '\t' + `stop_count2` + '\t' + `any_count2` + \
'\t' + `longest_fr2` + '\t' + `total_size2` + '\t' + `frm_number2` + '\t' + \
"fr_3" + '\t' + `stop_count3` + '\t' + `any_count3` + \
'\t' + `longest_fr3` + '\t' + `total_size3` + '\t' + `frm_number3` + '\t' + \
`longest_len` + '\t' + lfrm + '\t' + dupl_wr + '\n')
#############################
dupl_frame1 = " ONE_ORF"
dupl_frame2 = " ONE_ORF"
dupl_frame3 = " ONE_ORF"
#############
## 1
if full_frame1 == "SINGLE_ORF":
if full_frame1 == full_frame2:
dupl_frame1 = " NOT_UNIQ"
if full_frame1 == full_frame3:
dupl_frame1 = " NOT_UNIQ"
### CHECK FOR POLY_A AND POLY_T ( ..FFFFF.. OR ..KKKKK.. ) ###
count_fff1 = my_string1.count("F")
count_kkk1 = my_string1.count("K")
fract_fff1 = count_fff1*1.0/total_size1
fract_kkk1 = count_kkk1*1.0/total_size1
if fract_fff1 <= 0.70 and fract_kkk1 <= 0.70:
gl_s_file10.write(">" + proper_id + "_fr1 " + `total_size1` + " STOP:" + `stop_count1` \
+ " ANY(X):" + `any_count1` + dupl_frame1 + '\n' + my_string1 + '\n')
if fract_fff1 > 0.70:
fract_fff1 = str(round(fract_fff1,2))
gl_l0_file9.write(proper_id + '\t' + fract_fff1 + '\t' + "poly_FFF translation" + '\n')
if fract_kkk1 > 0.70:
fract_kkk1 = str(round(fract_kkk1,2))
gl_l0_file9.write(proper_id + '\t' + fract_kkk1 + '\t' + "poly_KKK translation" + '\n')
#############
## 2
if full_frame2 == "SINGLE_ORF":
if full_frame2 == full_frame1:
dupl_frame2 = " NOT_UNIQ"
if full_frame2 == full_frame3:
dupl_frame2 = " NOT_UNIQ"
### CHECK FOR POLY_A AND POLY_T ( ..FFFFF.. OR ..KKKKK.. ) ###
count_fff2 = my_string2.count("F")
count_kkk2 = my_string2.count("K")
fract_fff2 = count_fff2*1.0/total_size2
fract_kkk2 = count_kkk2*1.0/total_size2
if fract_fff2 <= 0.70 and fract_kkk2 <= 0.70:
gl_s_file10.write(">" + proper_id + "_fr2 " + `total_size2` + " STOP:" + `stop_count2` \
+ " ANY(X):" + `any_count2` + dupl_frame2 + '\n' + my_string2 + '\n')
if fract_fff2 > 0.70:
fract_fff2 = str(round(fract_fff2,2))
gl_l0_file9.write(proper_id + '\t' + fract_fff2 + '\t' + "poly_FFF translation" + '\n')
if fract_kkk2 > 0.70:
fract_kkk2 = str(round(fract_kkk2,2))
gl_l0_file9.write(proper_id + '\t' + fract_kkk2 + '\t' + "poly_KKK translation" + '\n')
#############
## 3
if full_frame3 == "SINGLE_ORF":
if full_frame3 == full_frame1:
dupl_frame3 = " NOT_UNIQ"
if full_frame3 == full_frame2:
dupl_frame3 = " NOT_UNIQ"
### CHECK FOR POLY_A AND POLY_T ( ..FFFFF.. OR ..KKKKK.. ) ###
count_fff3 = my_string3.count("F")
count_kkk3 = my_string3.count("K")
fract_fff3 = count_fff3*1.0/total_size3
fract_kkk3 = count_kkk3*1.0/total_size3
if fract_fff3 <= 0.70 and fract_kkk3 <= 0.70:
gl_s_file10.write(">" + proper_id + "_fr3 " + `total_size3` + " STOP:" + `stop_count3` \
+ " ANY(X):" + `any_count3` + dupl_frame3 + '\n' + my_string3 + '\n')
if fract_fff3 > 0.70:
fract_fff3 = str(round(fract_fff3,2))
gl_l0_file9.write(proper_id + '\t' + fract_fff3 + '\t' + "poly_FFF translation" + '\n')
if fract_kkk3 > 0.70:
fract_kkk3 = str(round(fract_kkk3,2))
gl_l0_file9.write(proper_id + '\t' + fract_kkk3 + '\t' + "poly_KKK translation" + '\n')
#############################
### TRANSLATION SIX FRAMES ###
if trans_fr == 6:
k1 = 0
k2 = 1
k3 = 2
###############
stop_count1 = 0
any_count1 = 0
longest_fr1 = 0
longest_orf1 = ""
total_size1 = 0
frm_number1 = 0
my_list1 = []
###############
stop_count2 = 0
any_count2 = 0
longest_fr2 = 0
longest_orf2 = ""
total_size2 = 0
frm_number2 = 0
my_list2 = []
###############
stop_count3 = 0
any_count3 = 0
longest_fr3 = 0
longest_orf3 = ""
total_size3 = 0
frm_number3 = 0
my_list3 = []
###############
stop_count4 = 0
any_count4 = 0
longest_fr4 = 0
longest_orf4 = ""
total_size4 = 0
frm_number4 = 0
my_list4 = []
###############
stop_count5 = 0
any_count5 = 0
longest_fr5 = 0
longest_orf5 = ""
total_size5 = 0
frm_number5 = 0
my_list5 = []
###############
stop_count6 = 0
any_count6 = 0
longest_fr6 = 0
longest_orf6 = ""
total_size6 = 0
frm_number6 = 0
my_list6 = []
###############
while k1 < l:
m1 = k1 + 3
m2 = k2 + 3
m3 = k3 + 3
p1 = t[k1:m1] # triplet frame 1
p2 = t[k2:m2] # triplet frame 2
p3 = t[k3:m3] # triplet frame 3
p4 = t_r[k1:m1] # triplet frame 4
p5 = t_r[k2:m2] # triplet frame 5
p6 = t_r[k3:m3] # triplet frame 6
#################################
if p1 in gl_Any:
my_list1.append("X")
any_count1 = any_count1 + 1
if p1 in gl_Ter:
my_list1.append("*")
stop_count1 = stop_count1 + 1
if p1 in gl_Phe:
my_list1.append("F")
if p1 in gl_Leu:
my_list1.append("L")
if p1 in gl_Ser:
my_list1.append("S")
if p1 in gl_Tyr:
my_list1.append("Y")
if p1 in gl_Cys:
my_list1.append("C")
if p1 in gl_Trp:
my_list1.append("W")
if p1 in gl_Pro:
my_list1.append("P")
if p1 in gl_His:
my_list1.append("H")
if p1 in gl_Gln:
my_list1.append("Q")
if p1 in gl_Arg:
my_list1.append("R")
if p1 in gl_Ile:
my_list1.append("I")
if p1 in gl_Met:
my_list1.append("M")
if p1 in gl_Thr:
my_list1.append("T")
if p1 in gl_Asn:
my_list1.append("N")
if p1 in gl_Lys:
my_list1.append("K")
if p1 in gl_Val:
my_list1.append("V")
if p1 in gl_Ala:
my_list1.append("A")
if p1 in gl_Asp:
my_list1.append("D")
if p1 in gl_Glu:
my_list1.append("E")
if p1 in gl_Gly:
my_list1.append("G")
##################################
if p2 in gl_Any:
my_list2.append("X")
any_count2 = any_count2 + 1
if p2 in gl_Ter:
my_list2.append("*")
stop_count2 = stop_count2 + 1
if p2 in gl_Phe:
my_list2.append("F")
if p2 in gl_Leu:
my_list2.append("L")
if p2 in gl_Ser:
my_list2.append("S")
if p2 in gl_Tyr:
my_list2.append("Y")
if p2 in gl_Cys:
my_list2.append("C")
if p2 in gl_Trp:
my_list2.append("W")
if p2 in gl_Pro:
my_list2.append("P")
if p2 in gl_His:
my_list2.append("H")
if p2 in gl_Gln:
my_list2.append("Q")
if p2 in gl_Arg:
my_list2.append("R")
if p2 in gl_Ile:
my_list2.append("I")
if p2 in gl_Met:
my_list2.append("M")
if p2 in gl_Thr:
my_list2.append("T")
if p2 in gl_Asn:
my_list2.append("N")
if p2 in gl_Lys:
my_list2.append("K")
if p2 in gl_Val:
my_list2.append("V")
if p2 in gl_Ala:
my_list2.append("A")
if p2 in gl_Asp:
my_list2.append("D")
if p2 in gl_Glu:
my_list2.append("E")
if p2 in gl_Gly:
my_list2.append("G")
##################################
if p3 in gl_Any:
my_list3.append("X")
any_count3 = any_count3 + 1
if p3 in gl_Ter:
my_list3.append("*")
stop_count3 = stop_count3 + 1
if p3 in gl_Phe:
my_list3.append("F")
if p3 in gl_Leu:
my_list3.append("L")
if p3 in gl_Ser:
my_list3.append("S")
if p3 in gl_Tyr:
my_list3.append("Y")
if p3 in gl_Cys:
my_list3.append("C")
if p3 in gl_Trp:
my_list3.append("W")
if p3 in gl_Pro:
my_list3.append("P")
if p3 in gl_His:
my_list3.append("H")
if p3 in gl_Gln:
my_list3.append("Q")
if p3 in gl_Arg:
my_list3.append("R")
if p3 in gl_Ile:
my_list3.append("I")
if p3 in gl_Met:
my_list3.append("M")
if p3 in gl_Thr:
my_list3.append("T")
if p3 in gl_Asn:
my_list3.append("N")
if p3 in gl_Lys:
my_list3.append("K")
if p3 in gl_Val:
my_list3.append("V")
if p3 in gl_Ala:
my_list3.append("A")
if p3 in gl_Asp:
my_list3.append("D")
if p3 in gl_Glu:
my_list3.append("E")
if p3 in gl_Gly:
my_list3.append("G")
##################################
if p4 in gl_Any:
my_list4.append("X")
any_count4 = any_count4 + 1
if p4 in gl_Ter:
my_list4.append("*")
stop_count4 = stop_count4 + 1
if p4 in gl_Phe:
my_list4.append("F")
if p4 in gl_Leu:
my_list4.append("L")
if p4 in gl_Ser:
my_list4.append("S")
if p4 in gl_Tyr:
my_list4.append("Y")
if p4 in gl_Cys:
my_list4.append("C")
if p4 in gl_Trp:
my_list4.append("W")
if p4 in gl_Pro:
my_list4.append("P")
if p4 in gl_His:
my_list4.append("H")
if p4 in gl_Gln:
my_list4.append("Q")
if p4 in gl_Arg:
my_list4.append("R")
if p4 in gl_Ile:
my_list4.append("I")
if p4 in gl_Met:
my_list4.append("M")
if p4 in gl_Thr:
my_list4.append("T")
if p4 in gl_Asn:
my_list4.append("N")
if p4 in gl_Lys:
my_list4.append("K")
if p4 in gl_Val:
my_list4.append("V")
if p4 in gl_Ala:
my_list4.append("A")
if p4 in gl_Asp:
my_list4.append("D")
if p4 in gl_Glu:
my_list4.append("E")
if p4 in gl_Gly:
my_list4.append("G")
##################################
if p5 in gl_Any:
my_list5.append("X")
any_count5 = any_count5 + 1
if p5 in gl_Ter:
my_list5.append("*")
stop_count5 = stop_count5 + 1
if p5 in gl_Phe:
my_list5.append("F")
if p5 in gl_Leu:
my_list5.append("L")
if p5 in gl_Ser:
my_list5.append("S")
if p5 in gl_Tyr:
my_list5.append("Y")
if p5 in gl_Cys:
my_list5.append("C")
if p5 in gl_Trp:
my_list5.append("W")
if p5 in gl_Pro:
my_list5.append("P")
if p5 in gl_His:
my_list5.append("H")
if p5 in gl_Gln:
my_list5.append("Q")
if p5 in gl_Arg:
my_list5.append("R")
if p5 in gl_Ile:
my_list5.append("I")
if p5 in gl_Met:
my_list5.append("M")
if p5 in gl_Thr:
my_list5.append("T")
if p5 in gl_Asn:
my_list5.append("N")
if p5 in gl_Lys:
my_list5.append("K")
if p5 in gl_Val:
my_list5.append("V")
if p5 in gl_Ala:
my_list5.append("A")
if p5 in gl_Asp:
my_list5.append("D")
if p5 in gl_Glu:
my_list5.append("E")
if p5 in gl_Gly:
my_list5.append("G")
##################################
if p6 in gl_Any:
my_list6.append("X")
any_count6 = any_count6 + 1
if p6 in gl_Ter:
my_list6.append("*")
stop_count6 = stop_count6 + 1
if p6 in gl_Phe:
my_list6.append("F")
if p6 in gl_Leu:
my_list6.append("L")
if p6 in gl_Ser:
my_list6.append("S")
if p6 in gl_Tyr:
my_list6.append("Y")
if p6 in gl_Cys:
my_list6.append("C")
if p6 in gl_Trp:
my_list6.append("W")
if p6 in gl_Pro:
my_list6.append("P")
if p6 in gl_His:
my_list6.append("H")
if p6 in gl_Gln:
my_list6.append("Q")
if p6 in gl_Arg:
my_list6.append("R")
if p6 in gl_Ile:
my_list6.append("I")
if p6 in gl_Met:
my_list6.append("M")
if p6 in gl_Thr:
my_list6.append("T")
if p6 in gl_Asn:
my_list6.append("N")
if p6 in gl_Lys:
my_list6.append("K")
if p6 in gl_Val:
my_list6.append("V")
if p6 in gl_Ala:
my_list6.append("A")
if p6 in gl_Asp:
my_list6.append("D")
if p6 in gl_Glu:
my_list6.append("E")
if p6 in gl_Gly:
my_list6.append("G")
##################################
k1 = k1 + 3
k2 = k2 + 3 # next triplet frame2
k3 = k3 + 3 # next triplet frame3
###########
my_string1 = "".join(my_list1)
my_string2 = "".join(my_list2)
my_string3 = "".join(my_list3)
my_string4 = "".join(my_list4)
my_string5 = "".join(my_list5)
my_string6 = "".join(my_list6)
#############################
total_size1 = len(my_string1)
total_size2 = len(my_string2)
total_size3 = len(my_string3)
total_size4 = len(my_string4)
total_size5 = len(my_string5)
total_size6 = len(my_string6)
#############################
my_subset1 = my_string1.split('*')
my_subset2 = my_string2.split('*')
my_subset3 = my_string3.split('*')
my_subset4 = my_string4.split('*')
my_subset5 = my_string5.split('*')
my_subset6 = my_string6.split('*')
#############################
## 1
for fragment1 in my_subset1:
fragment_len1 = len(fragment1)
# if fragment_len1 >= longest_fr1:
if fragment_len1 > longest_fr1:
longest_fr1 = fragment_len1
longest_orf1 = fragment1
if fragment_len1 != 0:
frm_number1 = frm_number1 + 1
## 2
for fragment2 in my_subset2:
fragment_len2 = len(fragment2)
# if fragment_len2 >= longest_fr2:
if fragment_len2 > longest_fr2:
longest_fr2 = fragment_len2
longest_orf2 = fragment2
if fragment_len2 != 0:
frm_number2 = frm_number2 + 1
## 3
for fragment3 in my_subset3:
fragment_len3 = len(fragment3)
# if fragment_len3 >= longest_fr3:
if fragment_len3 > longest_fr3:
longest_fr3 = fragment_len3
longest_orf3 = fragment3
if fragment_len3 != 0:
frm_number3 = frm_number3 + 1
## 4
for fragment4 in my_subset4:
fragment_len4 = len(fragment4)
# if fragment_len4 >= longest_fr4:
if fragment_len4 > longest_fr4:
longest_fr4 = fragment_len4
longest_orf4 = fragment4
if fragment_len4 != 0:
frm_number4 = frm_number4 + 1
## 5
for fragment5 in my_subset5:
fragment_len5 = len(fragment5)
# if fragment_len5 >= longest_fr5:
if fragment_len5 > longest_fr5:
longest_fr5 = fragment_len5
longest_orf5 = fragment5
if fragment_len5 != 0:
frm_number5 = frm_number5 + 1
## 6
for fragment6 in my_subset6:
fragment_len6 = len(fragment6)
# if fragment_len6 >= longest_fr6:
if fragment_len6 > longest_fr6:
longest_fr6 = fragment_len6
longest_orf6 = fragment6
if fragment_len6 != 0:
frm_number6 = frm_number6 + 1
#############################
full_frame1 = "UNDEFINED"
full_frame2 = "UNDEFINED"
full_frame3 = "UNDEFINED"
full_frame4 = "UNDEFINED"
full_frame5 = "UNDEFINED"
full_frame6 = "UNDEFINED"
#############################
## 1
if longest_fr1 >= total_size1 - 1:
full_frame1 = "SINGLE_ORF"
if longest_fr1 < total_size1 - 1:
full_frame1 = "MULTIPLE_ORFs"
## 2
if longest_fr2 >= total_size2 - 1:
full_frame2 = "SINGLE_ORF"
if longest_fr2 < total_size2 - 1:
full_frame2 = "MULTIPLE_ORFs"
## 3
if longest_fr3 >= total_size3 - 1:
full_frame3 = "SINGLE_ORF"
if longest_fr3 < total_size3 - 1:
full_frame3 = "MULTIPLE_ORFs"
## 4
if longest_fr4 >= total_size4 - 1:
full_frame4 = "SINGLE_ORF"
if longest_fr4 < total_size4 - 1:
full_frame4 = "MULTIPLE_ORFs"
## 5
if longest_fr5 >= total_size5 - 1:
full_frame5 = "SINGLE_ORF"
if longest_fr5 < total_size5 - 1:
full_frame5 = "MULTIPLE_ORFs"
## 6
if longest_fr6 >= total_size6 - 1:
full_frame6 = "SINGLE_ORF"
if longest_fr6 < total_size6 - 1:
full_frame6 = "MULTIPLE_ORFs"
#############################
## 1
'''out1.write(">" + proper_id + "_fr1" + " translation_frame:1" + \
" STOP:" + `stop_count1` + " ANY(X):" + `any_count1` + \
" LONGEST:" + `longest_fr1` + " TOTAL_LENGTH:" + `total_size1` + \
" " + full_frame1 + ":" + `frm_number1` + '\n')
out1.write(my_string1 + '\n')
## 2
out2.write(">" + proper_id + "_fr2" + " translation_frame:2" + \
" STOP:" + `stop_count2` + " ANY(X):" + `any_count2` + \
" LONGEST:" + `longest_fr2` + " TOTAL_LENGTH:" + `total_size2` + \
" " + full_frame2 + ":" + `frm_number2` + '\n')
out2.write(my_string2 + '\n')
## 3
out3.write(">" + proper_id + "_fr3" + " translation_frame:3" + \
" STOP:" + `stop_count3` + " ANY(X):" + `any_count3` + \
" LONGEST:" + `longest_fr3` + " TOTAL_LENGTH:" + `total_size3` + \
" " + full_frame3 + ":" + `frm_number3` + '\n')
out3.write(my_string3 + '\n')
## 4
out4.write(">" + proper_id + "_fr4" + " translation_frame:4" + \
" STOP:" + `stop_count4` + " ANY(X):" + `any_count4` + \
" LONGEST:" + `longest_fr4` + " TOTAL_LENGTH:" + `total_size4` + \
" " + full_frame4 + ":" + `frm_number4` + '\n')
out4.write(my_string4 + '\n')
## 5
out5.write(">" + proper_id + "_fr5" + " translation_frame:5" + \
" STOP:" + `stop_count5` + " ANY(X):" + `any_count5` + \
" LONGEST:" + `longest_fr5` + " TOTAL_LENGTH:" + `total_size5` + \
" " + full_frame5 + ":" + `frm_number5` + '\n')
out5.write(my_string5 + '\n')
## 6
out6.write(">" + proper_id + "_fr6" + " translation_frame:6" + \
" STOP:" + `stop_count6` + " ANY(X):" + `any_count6` + \
" LONGEST:" + `longest_fr6` + " TOTAL_LENGTH:" + `total_size6` + \
" " + full_frame6 + ":" + `frm_number6` + '\n')
out6.write(my_string6 + '\n')'''
out1.write(">" + proper_id + '\n')
out1.write(my_string1 + '\n')
## 2
out2.write(">" + proper_id + '\n')
out2.write(my_string2 + '\n')
## 3
out3.write(">" + proper_id + '\n')
out3.write(my_string3 + '\n')
## 4
out4.write(">" + proper_id + '\n')
out4.write(my_string4 + '\n')
## 5
out5.write(">" + proper_id + '\n')
out5.write(my_string5 + '\n')
## 6
out6.write(">" + proper_id + '\n')
out6.write(my_string6 + '\n')
#############################
## LONGEST ##
llen1 = len(longest_orf1)
llen2 = len(longest_orf2)
llen3 = len(longest_orf3)
llen4 = len(longest_orf4)
llen5 = len(longest_orf5)
llen6 = len(longest_orf6)
lfrm = " "
lfrm1 = ""
lfrm2 = ""
lfrm3 = ""
lfrm4 = ""
lfrm5 = ""
lfrm6 = ""
dupl_status = " UNIQ_LONG"
## 1
if llen1 >= llen2 and llen1 >= llen3 and llen1 >= llen4 and llen1 >= llen5 and llen1 >= llen6:
if llen1 == llen2 or llen1 == llen3 or llen1 == llen4 or llen1 == llen5 or llen1 == llen6:
dupl_status = " DUPL_LONG"
lfr = "_fr1"
lfrm1 = "fr_1"
longest_orf = longest_orf1
stop_count = stop_count1
any_count = any_count1
longest_fr = longest_fr1
total_size = total_size1
full_frame = full_frame1
frm_number = frm_number1
longest_len = llen1
'''gl_l_file10.write(">" + proper_id + lfr + dupl_status + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_l_file10.write(longest_orf + '\n')'''
print("")
## 2
if llen2 >= llen1 and llen2 >= llen3 and llen2 >= llen4 and llen2 >= llen5 and llen2 >= llen6:
if llen2 == llen1 or llen2 == llen3 or llen2 == llen4 or llen2 == llen5 or llen2 == llen6:
dupl_status = " DUPL_LONG"
lfr = "_fr2"
lfrm2 = "fr_2"
longest_orf = longest_orf2
stop_count = stop_count2
any_count = any_count2
longest_fr = longest_fr2
total_size = total_size2
full_frame = full_frame2
frm_number = frm_number2
longest_len = llen2
'''gl_l_file10.write(">" + proper_id + lfr + dupl_status + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_l_file10.write(longest_orf + '\n')'''
## 3
if llen3 >= llen1 and llen3 >= llen2 and llen3 >= llen4 and llen3 >= llen5 and llen3 >= llen6:
if llen3 == llen1 or llen3 == llen2 or llen3 == llen4 or llen3 == llen5 or llen3 == llen6:
dupl_status = " DUPL_LONG"
lfr = "_fr3"
lfrm3 = "fr_3"
longest_orf = longest_orf3
stop_count = stop_count3
any_count = any_count3
longest_fr = longest_fr3
total_size = total_size3
full_frame = full_frame3
frm_number = frm_number3
longest_len = llen3
'''gl_l_file10.write(">" + proper_id + lfr + dupl_status + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_l_file10.write(longest_orf + '\n')'''
## 4
if llen4 >= llen1 and llen4 >= llen2 and llen4 >= llen3 and llen4 >= llen5 and llen4 >= llen6:
if llen4 == llen1 or llen4 == llen2 or llen4 == llen3 or llen4 == llen5 or llen4 == llen6:
dupl_status = " DUPL_LONG"
lfr = "_fr4"
lfrm4 = "fr_4"
longest_orf = longest_orf4
stop_count = stop_count4
any_count = any_count4
longest_fr = longest_fr4
total_size = total_size4
full_frame = full_frame4
frm_number = frm_number4
longest_len = llen4
'''gl_l_file10.write(">" + proper_id + lfr + dupl_status + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_l_file10.write(longest_orf + '\n')'''
## 5
if llen5 >= llen1 and llen5 >= llen2 and llen5 >= llen3 and llen5 >= llen4 and llen5 >= llen6:
if llen5 == llen1 or llen5 == llen2 or llen5 == llen3 or llen5 == llen4 or llen5 == llen6:
dupl_status = " DUPL_LONG"
lfr = "_fr5"
lfrm5 = "fr_5"
longest_orf = longest_orf5
stop_count = stop_count5
any_count = any_count5
longest_fr = longest_fr5
total_size = total_size5
full_frame = full_frame5
frm_number = frm_number5
longest_len = llen5
'''gl_l_file10.write(">" + proper_id + lfr + dupl_status + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_l_file10.write(longest_orf + '\n')'''
## 6
if llen6 >= llen1 and llen6 >= llen2 and llen6 >= llen3 and llen6 >= llen4 and llen6 >= llen5:
if llen6 == llen1 or llen6 == llen2 or llen6 == llen3 or llen6 == llen4 or llen6 == llen5:
dupl_status = " DUPL_LONG"
lfr = "_fr6"
lfrm6 = "fr_6"
longest_orf = longest_orf6
stop_count = stop_count6
any_count = any_count6
longest_fr = longest_fr6
total_size = total_size6
full_frame = full_frame6
frm_number = frm_number6
longest_len = llen6
'''gl_l_file10.write(">" + proper_id + lfr + dupl_status + \
" STOP:" + `stop_count` + " ANY(X):" + `any_count` + \
" LONGEST:" + `longest_fr` + " TOTAL_LENGTH:" + `total_size` + \
" " + full_frame + ":" + `frm_number` + '\n')
gl_l_file10.write(longest_orf + '\n')
#############################
gl_l1_file9.write(proper_id + '\t' + "fr_1" + '\t' + `stop_count1` + '\t' + `any_count1` + \
'\t' + `longest_fr1` + '\t' + `total_size1` + '\t' + `frm_number1` + '\n')
gl_l2_file9.write(proper_id + '\t' + "fr_2" + '\t' + `stop_count2` + '\t' + `any_count2` + \
'\t' + `longest_fr2` + '\t' + `total_size2` + '\t' + `frm_number2` + '\n')
gl_l3_file9.write(proper_id + '\t' + "fr_3" + '\t' + `stop_count3` + '\t' + `any_count3` + \
'\t' + `longest_fr3` + '\t' + `total_size3` + '\t' + `frm_number3` + '\n')
gl_l4_file9.write(proper_id + '\t' + "fr_4" + '\t' + `stop_count4` + '\t' + `any_count4` + \
'\t' + `longest_fr4` + '\t' + `total_size4` + '\t' + `frm_number4` + '\n')
gl_l5_file9.write(proper_id + '\t' + "fr_5" + '\t' + `stop_count5` + '\t' + `any_count5` + \
'\t' + `longest_fr5` + '\t' + `total_size5` + '\t' + `frm_number5` + '\n')
gl_l6_file9.write(proper_id + '\t' + "fr_6" + '\t' + `stop_count6` + '\t' + `any_count6` + \
'\t' + `longest_fr6` + '\t' + `total_size6` + '\t' + `frm_number6` + '\n')'''
#############################
if dupl_status == " UNIQ_LONG":
dupl_wr = "UNIQ"
if dupl_status == " DUPL_LONG":
dupl_wr = "DUPL"
lfrm_list = [lfrm1, lfrm2, lfrm3, lfrm4, lfrm5, lfrm6]
for l_item in lfrm_list:
if l_item != "":
# lfrm = lfrm + " " + l_item + " "
lfrm = lfrm + l_item + " "
# lfrm = lfrm[1:]
# lfrm = lfrm[:-1]
'''gl_ls_file9.write(proper_id + '\t' + \
"fr_1" + '\t' + `stop_count1` + '\t' + `any_count1` + \
'\t' + `longest_fr1` + '\t' + `total_size1` + '\t' + `frm_number1` + '\t' + \
"fr_2" + '\t' + `stop_count2` + '\t' + `any_count2` + \
'\t' + `longest_fr2` + '\t' + `total_size2` + '\t' + `frm_number2` + '\t' + \
"fr_3" + '\t' + `stop_count3` + '\t' + `any_count3` + \
'\t' + `longest_fr3` + '\t' + `total_size3` + '\t' + `frm_number3` + '\t' + \
"fr_4" + '\t' + `stop_count4` + '\t' + `any_count4` + \
'\t' + `longest_fr4` + '\t' + `total_size4` + '\t' + `frm_number4` + '\t' + \
"fr_5" + '\t' + `stop_count5` + '\t' + `any_count5` + \
'\t' + `longest_fr5` + '\t' + `total_size5` + '\t' + `frm_number5` + '\t' + \
"fr_6" + '\t' + `stop_count6` + '\t' + `any_count6` + \
'\t' + `longest_fr6` + '\t' + `total_size6` + '\t' + `frm_number6` + '\t' + \
`longest_len` + '\t' + lfrm + '\t' + dupl_wr + '\n')'''
#############################
dupl_frame1 = " ONE_ORF"
dupl_frame2 = " ONE_ORF"
dupl_frame3 = " ONE_ORF"
dupl_frame4 = " ONE_ORF"
dupl_frame5 = " ONE_ORF"
dupl_frame6 = " ONE_ORF"
#############
## 1
if full_frame1 == "SINGLE_ORF":
if full_frame1 == full_frame2:
dupl_frame1 = " NOT_UNIQ"
if full_frame1 == full_frame3:
dupl_frame1 = " NOT_UNIQ"
if full_frame1 == full_frame4:
dupl_frame1 = " NOT_UNIQ"
if full_frame1 == full_frame5:
dupl_frame1 = " NOT_UNIQ"
if full_frame1 == full_frame6:
dupl_frame1 = " NOT_UNIQ"
### CHECK FOR POLY_A AND POLY_T ( ..FFFFF.. OR ..KKKKK.. ) ###
count_fff1 = my_string1.count("F")
count_kkk1 = my_string1.count("K")
fract_fff1 = count_fff1*1.0/total_size1
fract_kkk1 = count_kkk1*1.0/total_size1
if fract_fff1 <= 0.70 and fract_kkk1 <= 0.70:
'''gl_s_file10.write(">" + proper_id + "_fr1 " + `total_size1` + " STOP:" + `stop_count1` \
+ " ANY(X):" + `any_count1` + dupl_frame1 + '\n' + my_string1 + '\n')'''
print("")
if fract_fff1 > 0.70:
fract_fff1 = str(round(fract_fff1,2))
#gl_l0_file9.write(proper_id + '\t' + fract_fff1 + '\t' + "poly_FFF translation" + '\n')
if fract_kkk1 > 0.70:
fract_kkk1 = str(round(fract_kkk1,2))
#gl_l0_file9.write(proper_id + '\t' + fract_kkk1 + '\t' + "poly_KKK translation" + '\n')
#############
## 2
if full_frame2 == "SINGLE_ORF":
if full_frame2 == full_frame1:
dupl_frame2 = " NOT_UNIQ"
if full_frame2 == full_frame3:
dupl_frame2 = " NOT_UNIQ"
if full_frame2 == full_frame4:
dupl_frame2 = " NOT_UNIQ"
if full_frame2 == full_frame5:
dupl_frame2 = " NOT_UNIQ"
if full_frame2 == full_frame6:
dupl_frame2 = " NOT_UNIQ"
### CHECK FOR POLY_A AND POLY_T ( ..FFFFF.. OR ..KKKKK.. ) ###
count_fff2 = my_string2.count("F")
count_kkk2 = my_string2.count("K")
fract_fff2 = count_fff2*1.0/total_size2
fract_kkk2 = count_kkk2*1.0/total_size2
if fract_fff2 <= 0.70 and fract_kkk2 <= 0.70:
'''gl_s_file10.write(">" + proper_id + "_fr2 " + `total_size2` + " STOP:" + `stop_count2` \
+ " ANY(X):" + `any_count2` + dupl_frame2 + '\n' + my_string2 + '\n')'''
print("")
if fract_fff2 > 0.70:
fract_fff2 = str(round(fract_fff2,2))
#gl_l0_file9.write(proper_id + '\t' + fract_fff2 + '\t' + "poly_FFF translation" + '\n')
print("")
if fract_kkk2 > 0.70:
fract_kkk2 = str(round(fract_kkk2,2))
#gl_l0_file9.write(proper_id + '\t' + fract_kkk2 + '\t' + "poly_KKK translation" + '\n')
#############
## 3
if full_frame3 == "SINGLE_ORF":
if full_frame3 == full_frame1:
dupl_frame3 = " NOT_UNIQ"
if full_frame3 == full_frame2:
dupl_frame3 = " NOT_UNIQ"
if full_frame3 == full_frame4:
dupl_frame3 = " NOT_UNIQ"
if full_frame3 == full_frame5:
dupl_frame3 = " NOT_UNIQ"
if full_frame3 == full_frame6:
dupl_frame3 = " NOT_UNIQ"
### CHECK FOR POLY_A AND POLY_T ( ..FFFFF.. OR ..KKKKK.. ) ###
count_fff3 = my_string3.count("F")
count_kkk3 = my_string3.count("K")
fract_fff3 = count_fff3*1.0/total_size3
fract_kkk3 = count_kkk3*1.0/total_size3
if fract_fff3 <= 0.70 and fract_kkk3 <= 0.70:
'''gl_s_file10.write(">" + proper_id + "_fr3 " + `total_size3` + " STOP:" + `stop_count3` \
+ " ANY(X):" + `any_count3` + dupl_frame3 + '\n' + my_string3 + '\n')'''
print("")
if fract_fff3 > 0.70:
fract_fff3 = str(round(fract_fff3,2))
#gl_l0_file9.write(proper_id + '\t' + fract_fff3 + '\t' + "poly_FFF translation" + '\n')
if fract_kkk3 > 0.70:
fract_kkk3 = str(round(fract_kkk3,2))
#gl_l0_file9.write(proper_id + '\t' + fract_kkk3 + '\t' + "poly_KKK translation" + '\n')
## 4
if full_frame4 == "SINGLE_ORF":
if full_frame4 == full_frame1:
dupl_frame4 = " NOT_UNIQ"
if full_frame4 == full_frame2:
dupl_frame4 = " NOT_UNIQ"
if full_frame4 == full_frame3:
dupl_frame4 = " NOT_UNIQ"
if full_frame4 == full_frame5:
dupl_frame4 = " NOT_UNIQ"
if full_frame4 == full_frame6:
dupl_frame4 = " NOT_UNIQ"
### CHECK FOR POLY_A AND POLY_T ( ..FFFFF.. OR ..KKKKK.. ) ###
count_fff4 = my_string4.count("F")
count_kkk4 = my_string4.count("K")
fract_fff4 = count_fff4*1.0/total_size4
fract_kkk4 = count_kkk4*1.0/total_size4
if fract_fff4 <= 0.70 and fract_kkk4 <= 0.70:
'''gl_s_file10.write(">" + proper_id + "_fr4 " + `total_size4` + " STOP:" + `stop_count4` \
+ " ANY(X):" + `any_count4` + dupl_frame4 + '\n' + my_string4 + '\n')'''
print("")
if fract_fff4 > 0.70:
fract_fff4 = str(round(fract_fff4,2))
#gl_l0_file9.write(proper_id + '\t' + fract_fff4 + '\t' + "poly_FFF translation" + '\n')
if fract_kkk4 > 0.70:
fract_kkk4 = str(round(fract_kkk4,2))
#gl_l0_file9.write(proper_id + '\t' + fract_kkk4 + '\t' + "poly_KKK translation" + '\n')
## 5
if full_frame5 == "SINGLE_ORF":
if full_frame5 == full_frame1:
dupl_frame5 = " NOT_UNIQ"
if full_frame5 == full_frame2:
dupl_frame5 = " NOT_UNIQ"
if full_frame5 == full_frame3:
dupl_frame5 = " NOT_UNIQ"
if full_frame5 == full_frame4:
dupl_frame5 = " NOT_UNIQ"
if full_frame5 == full_frame6:
dupl_frame5 = " NOT_UNIQ"
### CHECK FOR POLY_A AND POLY_T ( ..FFFFF.. OR ..KKKKK.. ) ###
count_fff5 = my_string5.count("F")
count_kkk5 = my_string5.count("K")
fract_fff5 = count_fff5*1.0/total_size5
fract_kkk5 = count_kkk5*1.0/total_size5
if fract_fff5 <= 0.70 and fract_kkk5 <= 0.70:
'''gl_s_file10.write(">" + proper_id + "_fr5 " + `total_size5` + " STOP:" + `stop_count5` \
+ " ANY(X):" + `any_count5` + dupl_frame5 + '\n' + my_string5 + '\n')'''
print("")
if fract_fff5 > 0.70:
fract_fff5 = str(round(fract_fff5,2))
#gl_l0_file9.write(proper_id + '\t' + fract_fff5 + '\t' + "poly_FFF translation" + '\n')
if fract_kkk5 > 0.70:
fract_kkk5 = str(round(fract_kkk5,2))
#gl_l0_file9.write(proper_id + '\t' + fract_kkk5 + '\t' + "poly_KKK translation" + '\n')
## 6
if full_frame6 == "SINGLE_ORF":
if full_frame6 == full_frame1:
dupl_frame6 = " NOT_UNIQ"
if full_frame6 == full_frame2:
dupl_frame6 = " NOT_UNIQ"
if full_frame6 == full_frame3:
dupl_frame6 = " NOT_UNIQ"
if full_frame6 == full_frame4:
dupl_frame6 = " NOT_UNIQ"
if full_frame6 == full_frame5:
dupl_frame6 = " NOT_UNIQ"
### CHECK FOR POLY_A AND POLY_T ( ..FFFFF.. OR ..KKKKK.. ) ###
count_fff6 = my_string6.count("F")
count_kkk6 = my_string6.count("K")
fract_fff6 = count_fff6*1.0/total_size6
fract_kkk6 = count_kkk6*1.0/total_size6
if fract_fff6 <= 0.70 and fract_kkk6 <= 0.70:
'''gl_s_file10.write(">" + proper_id + "_fr6 " + `total_size6` + " STOP:" + `stop_count6` \
+ " ANY(X):" + `any_count6` + dupl_frame6 + '\n' + my_string6 + '\n')'''
print("")
if fract_fff6 > 0.70:
fract_fff6 = str(round(fract_fff6,2))
#gl_l0_file9.write(proper_id + '\t' + fract_fff6 + '\t' + "poly_FFF translation" + '\n')
if fract_kkk6 > 0.70:
fract_kkk6 = str(round(fract_kkk6,2))
#gl_l0_file9.write(proper_id + '\t' + fract_kkk6 + '\t' + "poly_KKK translation" + '\n')
#############################
### END OF TRANSLATION ###
##########################################
def Seqs_Nficator(have_seqs):
non_atgc_list = [ 'B', 'D', 'E', 'F', 'H', 'I', 'J', 'K', 'L', 'M', \
'O', 'P', 'Q', 'R', 'S', 'U', 'V', 'W', 'X', 'Y', 'Z' ]
have_seqs = string.upper(have_seqs)
for dummy_letter in non_atgc_list:
have_seqs = re.sub(dummy_letter, "N", have_seqs)
return have_seqs
def Seqs_Cleaner(in_name, out_name, seq_type, trans_fr, gen_code, bin_mode, seqs_min_len,gl_tr_file1,gl_tr_file2,gl_tr_file3,gl_tr_file4,gl_tr_file5,gl_tr_file6):
global out1,out2,out3,out4,out5,out6,gl_fw_file7, gl_rc_file8, gl_l0_file9, \
gl_l1_file9, gl_l2_file9, gl_l3_file9, \
gl_l4_file9, gl_l5_file9, gl_l6_file9, \
gl_ls_file9, gl_s_file10, gl_l_file10, \
tab_out1, tab_out2
#print ""
#print in_name + ' ' + out_name
#print ""
in_file = open(in_name, "rb")
#out_file = open(out_name + '.fasta', "wb")
#out_stat = open(out_name + '.stat', "wb")
#out_tab = open(out_name + '.tab', "wb")
if bin_mode == "BIN" and seq_type == "DNA":
out_bin1 = open(out_name + '.01BIN', "wb")
out_bin2 = open(out_name + '.02BIN', "wb")
out_dna1 = open(out_name + '.01DNA', "wb")
out_dna2 = open(out_name + '.02DNA', "wb")
out_tab3 = open(out_name + '.01TAB', "wb")
agct_list = ["A", "G", "C", "T"]
binary_list = ["00", "01", "10", "11"]
if seq_type == "DNA":
### ACTIVATION OF CODON USAGE TABLE ###
if trans_fr != 0:
if gen_code == 1:
CodonTranslation1()
if gen_code == 2:
CodonTranslation2()
if gen_code == 3:
CodonTranslation3()
###########################
if trans_fr == 1:
gl_tr_file1 = open(out_name + '.tr_frame1', "wb")
gl_fw_file7 = open(out_name + '.forwrd', "wb")
gl_rc_file8 = open(out_name + '.revcom', "wb")
gl_l0_file9 = open(out_name + '.x0_log', "wb")
gl_l1_file9 = open(out_name + '.x1_log', "wb")
gl_s_file10 = open(out_name + '.tr_single_frame', "wb")
gl_l_file10 = open(out_name + '.tr_longest_frame', "wb")
tab_out1 = open(out_name + '.tab_frw', "wb")
tab_out2 = open(out_name + '.tab_rev', "wb")
# tab_out3 = open(out_name + '.01TAB', "wb")
gl_l1_file9.write("SEQ_ID" + '\t' + "FRAME" + '\t' + "STOP" + '\t' + "ANY" + \
'\t' + "LONGEST" + '\t' + "TOTAL" + '\t' + "ORFs" + '\n')
if trans_fr == 3:
gl_tr_file1 = open(out_name + '.tr_frame1', "wb")
gl_tr_file2 = open(out_name + '.tr_frame2', "wb")
gl_tr_file3 = open(out_name + '.tr_frame3', "wb")
gl_fw_file7 = open(out_name + '.forwrd', "wb")
gl_rc_file8 = open(out_name + '.revcom', "wb")
gl_l0_file9 = open(out_name + '.x0_log', "wb")
gl_l1_file9 = open(out_name + '.x1_log', "wb")
gl_l2_file9 = open(out_name + '.x2_log', "wb")
gl_l3_file9 = open(out_name + '.x3_log', "wb")
gl_ls_file9 = open(out_name + '.xx_log', "wb")
gl_s_file10 = open(out_name + '.tr_single_frame', "wb")
gl_l_file10 = open(out_name + '.tr_longest_frame', "wb")
tab_out1 = open(out_name + '.tab_frw', "wb")
tab_out2 = open(out_name + '.tab_rev', "wb")
# tab_out3 = open(out_name + '.01TAB', "wb")
gl_l1_file9.write("SEQ_ID" + '\t' + "FRAME" + '\t' + "STOP" + '\t' + "ANY" + \
'\t' + "LONGEST" + '\t' + "TOTAL" + '\t' + "ORFs" + '\n')
gl_l2_file9.write("SEQ_ID" + '\t' + "FRAME" + '\t' + "STOP" + '\t' + "ANY" + \
'\t' + "LONGEST" + '\t' + "TOTAL" + '\t' + "ORFs" + '\n')
gl_l3_file9.write("SEQ_ID" + '\t' + "FRAME" + '\t' + "STOP" + '\t' + "ANY" + \
'\t' + "LONGEST" + '\t' + "TOTAL" + '\t' + "ORFs" + '\n')
gl_ls_file9.write("SEQ_ID" + '\t' + \
"FRAME1" + '\t' + "STOP1" + '\t' + "ANY1" + \
'\t' + "LONGEST1" + '\t' + "TOTAL1" + '\t' + "ORFs1" + '\t' + \
"FRAME2" + '\t' + "STOP2" + '\t' + "ANY2" + \
'\t' + "LONGEST2" + '\t' + "TOTAL2" + '\t' + "ORFs2" + '\t' + \
"FRAME3" + '\t' + "STOP3" + '\t' + "ANY3" + \
'\t' + "LONGEST3" + '\t' + "TOTAL3" + '\t' + "ORFs3" + '\t' + \
"LONGEST" + '\t' + "FRAME" + '\t' + "DUPL" + '\n')
if trans_fr == 6:
#gl_tr_file1 = open(out_name + '.tr_frame1.fasta', "wb")
out1 = open(gl_tr_file1, 'wb' )
out2 = open(gl_tr_file2, 'wb' )
out3 = open(gl_tr_file3, 'wb' )
out4 = open(gl_tr_file4, 'wb' )
out5 = open(gl_tr_file5, 'wb' )
out6 = open(gl_tr_file6, 'wb' )
'''gl_tr_file2 = open(out_name + '.tr_frame2.fasta', "wb")
gl_tr_file3 = open(out_name + '.tr_frame3.fasta', "wb")
gl_tr_file4 = open(out_name + '.tr_frame4.fasta', "wb")
gl_tr_file5 = open(out_name + '.tr_frame5.fasta', "wb")
gl_tr_file6 = open(out_name + '.tr_frame6.fasta', "wb")
gl_fw_file7 = open(out_name + '.forwrd', "wb")
gl_rc_file8 = open(out_name + '.revcom', "wb")
gl_l0_file9 = open(out_name + '.x0_log', "wb")
gl_l1_file9 = open(out_name + '.x1_log', "wb")
gl_l2_file9 = open(out_name + '.x2_log', "wb")
gl_l3_file9 = open(out_name + '.x3_log', "wb")
gl_l4_file9 = open(out_name + '.x4_log', "wb")
gl_l5_file9 = open(out_name + '.x5_log', "wb")
gl_l6_file9 = open(out_name + '.x6_log', "wb")
gl_ls_file9 = open(out_name + '.xx_log', "wb")
gl_s_file10 = open(out_name + '.tr_single_frame', "wb")
gl_l_file10 = open(out_name + '.tr_longest_frame', "wb")
tab_out1 = open(out_name + '.tab_frw', "wb")
tab_out2 = open(out_name + '.tab_rev', "wb")
# tab_out3 = open(out_name + '.01TAB', "wb")
gl_l1_file9.write("SEQ_ID" + '\t' + "FRAME" + '\t' + "STOP" + '\t' + "ANY" + \
'\t' + "LONGEST" + '\t' + "TOTAL" + '\t' + "ORFs" + '\n')
gl_l2_file9.write("SEQ_ID" + '\t' + "FRAME" + '\t' + "STOP" + '\t' + "ANY" + \
'\t' + "LONGEST" + '\t' + "TOTAL" + '\t' + "ORFs" + '\n')
gl_l3_file9.write("SEQ_ID" + '\t' + "FRAME" + '\t' + "STOP" + '\t' + "ANY" + \
'\t' + "LONGEST" + '\t' + "TOTAL" + '\t' + "ORFs" + '\n')
gl_l4_file9.write("SEQ_ID" + '\t' + "FRAME" + '\t' + "STOP" + '\t' + "ANY" + \
'\t' + "LONGEST" + '\t' + "TOTAL" + '\t' + "ORFs" + '\n')
gl_l5_file9.write("SEQ_ID" + '\t' + "FRAME" + '\t' + "STOP" + '\t' + "ANY" + \
'\t' + "LONGEST" + '\t' + "TOTAL" + '\t' + "ORFs" + '\n')
gl_l6_file9.write("SEQ_ID" + '\t' + "FRAME" + '\t' + "STOP" + '\t' + "ANY" + \
'\t' + "LONGEST" + '\t' + "TOTAL" + '\t' + "ORFs" + '\n')
gl_ls_file9.write("SEQ_ID" + '\t' + \
"FRAME1" + '\t' + "STOP1" + '\t' + "ANY1" + \
'\t' + "LONGEST1" + '\t' + "TOTAL1" + '\t' + "ORFs1" + '\t' + \
"FRAME2" + '\t' + "STOP2" + '\t' + "ANY2" + \
'\t' + "LONGEST2" + '\t' + "TOTAL2" + '\t' + "ORFs2" + '\t' + \
"FRAME3" + '\t' + "STOP3" + '\t' + "ANY3" + \
'\t' + "LONGEST3" + '\t' + "TOTAL3" + '\t' + "ORFs3" + '\t' + \
"FRAME4" + '\t' + "STOP4" + '\t' + "ANY4" + \
'\t' + "LONGEST4" + '\t' + "TOTAL4" + '\t' + "ORFs4" + '\t' + \
"FRAME5" + '\t' + "STOP5" + '\t' + "ANY5" + \
'\t' + "LONGEST5" + '\t' + "TOTAL5" + '\t' + "ORFs5" + '\t' + \
"FRAME6" + '\t' + "STOP6" + '\t' + "ANY6" + \
'\t' + "LONGEST6" + '\t' + "TOTAL6" + '\t' + "ORFs6" + '\t' + \
"LONGEST" + '\t' + "FRAME" + '\t' + "DUPL" + '\n')
###########################
### HEADER OF OUTPUT FILE ###
out_stat.write("#SEQ_ID" + '\t' + "LENGTH" + '\t' + " A " + '\t' + " T " + '\t' + \
" G " + '\t' + " C " + '\t' + "AT" + '\t' + "GC" + '\t' \
+ "ATGC" + '\t' + " N " + '\t' + " X " + '\n')'''
if seq_type == "prot":
trans_fr = 0
'''out_stat.write("#SEQ_ID" + '\t' + "LENGTH" + '\t' + \
" A " + '\t' + " B " + '\t' + \
" C " + '\t' + " D " + '\t' + \
" E " + '\t' + " F " + '\t' + \
" G " + '\t' + " H " + '\t' + \
" I " + '\t' + " J " + '\t' + \
" K " + '\t' + " L " + '\t' + \
" M " + '\t' + " N " + '\t' + \
" O " + '\t' + " P " + '\t' + \
" Q " + '\t' + " R " + '\t' + \
" S " + '\t' + " T " + '\t' + \
" U " + '\t' + " V " + '\t' + \
" W " + '\t' + " X " + '\t' + \
" Y " + '\t' + " Z " + '\t' + \
" * " + '\t' + "***" + '\t' + '\n')'''
fasta_id_array = []
line_counter = 0
have_seqs = ""
proper_id = ""
my_seqs = []
tot_len = 0
a_tot = 0
b_tot = 0
c_tot = 0
d_tot = 0
e_tot = 0
f_tot = 0
g_tot = 0
h_tot = 0
i_tot = 0
j_tot = 0
k_tot = 0
l_tot = 0
m_tot = 0
n_tot = 0
o_tot = 0
p_tot = 0
q_tot = 0
r_tot = 0
s_tot = 0
t_tot = 0
u_tot = 0
v_tot = 0
w_tot = 0
x_tot = 0
y_tot = 0
z_tot = 0
stop_tot = 0
while 1:
t = in_file.readline()
if t == '':
### SUB_SEQ FUNCTION ###
have_seqs = "".join(my_seqs)
seqs_len = len(have_seqs)
### STRING PROCESSING ###
abc_up = ""
if seqs_len != 0:
have_seqs = "".join(my_seqs)
seqs_len = len(have_seqs)
tot_len = tot_len + seqs_len
if seqs_len == 0:
seqs_len = 1
### STRING PROCESSING ###
if seq_type == "DNA":
have_seqs = Seqs_Nficator(have_seqs)
abc_up = have_seqs.upper()
###
### BINARY ###
if bin_mode == "BIN" and seqs_len >= seqs_min_len and seq_type == "DNA":
out_bin1.write(">" + proper_id + "_R REGULAR BINARY " + `seqs_len` + '\n')
out_bin2.write(">" + proper_id + "_S SHIFTED BINARY " + `seqs_len` + '\n')
#out_tab3.write(proper_id + '\t')
bin1_list = list(have_seqs)
bin2_list = []
for bin1_item in bin1_list:
if bin1_item in agct_list:
if bin1_item == "A":
out_bin1.write("00")
#out_tab3.write("00" + '\t')
bin2_list.append("00")
if bin1_item == "G":
out_bin1.write("01")
#out_tab3.write("01" + '\t')
bin2_list.append("01")
if bin1_item == "C":
out_bin1.write("10")
#out_tab3.write("10" + '\t')
bin2_list.append("10")
if bin1_item == "T":
out_bin1.write("11")
#out_tab3.write("11" + '\t')
bin2_list.append("11")
else:
out_bin1.write("--")
#out_tab3.write("--" + '\t')
bin2_list.append("--")
out_bin1.write('\n')
#out_tab3.write('\n')
# bin2tr_list = bin2_list[1:-1]
bin2_list = "".join(bin2_list)
# bin2tr_list = "".join(bin2tr_list)
bin2tr_list = bin2_list[1:-1]
# print bin2_list
# print bin2tr_list
out_bin2.write(bin2tr_list + '\n')
### BIN END ###
### BIN AGAIN ###
k1 = 0
k2 = 0
l1 = len(bin2_list)
l2 = len(bin2tr_list)
out_dna1.write(">" + proper_id + "_R REGULAR DNA " + `seqs_len` + '\n')
while k1 < l1:
m1 = k1 + 2
p1 = bin2_list[k1:m1] # binary duplet
if p1 in binary_list:
if p1 == "00":
out_dna1.write("A")
if p1 == "01":
out_dna1.write("G")
if p1 == "10":
out_dna1.write("C")
if p1 == "11":
out_dna1.write("T")
else:
out_dna1.write("N")
k1 = k1 + 2
out_dna1.write('\n')
out_dna2.write(">" + proper_id + "_S SHIFTED DNA " + `seqs_len` + '\n')
while k2 < l2:
m2 = k2 + 2
p2 = bin2tr_list[k2:m2] # binary duplet
if p2 in binary_list:
if p2 == "00":
out_dna2.write("A")
if p2 == "01":
out_dna2.write("G")
if p2 == "10":
out_dna2.write("C")
if p2 == "11":
out_dna2.write("T")
else:
out_dna2.write("N")
k2 = k2 + 2
out_dna2.write('\n')
### ******* ###
###
a_count = abc_up.count("A")
a_tot = a_tot + a_count
###
b_count = abc_up.count("B")
b_tot = b_tot + b_count
###
c_count = abc_up.count("C")
c_tot = c_tot + c_count
###
d_count = abc_up.count("D")
d_tot = d_tot + d_count
###
e_count = abc_up.count("E")
e_tot = e_tot + e_count
###
f_count = abc_up.count("F")
f_tot = f_tot + f_count
###
g_count = abc_up.count("G")
g_tot = g_tot + g_count
###
h_count = abc_up.count("H")
h_tot = h_tot + h_count
###
i_count = abc_up.count("I")
i_tot = i_tot + i_count
###
j_count = abc_up.count("J")
j_tot = j_tot + j_count
###
k_count = abc_up.count("K")
k_tot = k_tot + k_count
###
l_count = abc_up.count("L")
l_tot = l_tot + l_count
###
m_count = abc_up.count("M")
m_tot = m_tot + m_count
###
n_count = abc_up.count("N")
n_tot = n_tot + n_count
###
o_count = abc_up.count("O")
o_tot = o_tot + o_count
###
p_count = abc_up.count("P")
p_tot = p_tot + p_count
###
q_count = abc_up.count("Q")
q_tot = q_tot + q_count
###
r_count = abc_up.count("R")
r_tot = r_tot + r_count
###
s_count = abc_up.count("S")
s_tot = s_tot + s_count
###
t_count = abc_up.count("T")
t_tot = t_tot + t_count
###
u_count = abc_up.count("U")
u_tot = u_tot + u_count
###
v_count = abc_up.count("V")
v_tot = v_tot + v_count
###
w_count = abc_up.count("W")
w_tot = w_tot + w_count
###
x_count = abc_up.count("X")
x_tot = x_tot + x_count
###
y_count = abc_up.count("Y")
y_tot = y_tot + y_count
###
z_count = abc_up.count("Z")
z_tot = z_tot + z_count
###
stop_count = abc_up.count("*")
stop_tot = stop_tot + stop_count
###
a_fract = round((a_count*100.00/seqs_len),2)
b_fract = round((b_count*100.00/seqs_len),2)
c_fract = round((c_count*100.00/seqs_len),2)
d_fract = round((d_count*100.00/seqs_len),2)
e_fract = round((e_count*100.00/seqs_len),2)
f_fract = round((f_count*100.00/seqs_len),2)
g_fract = round((g_count*100.00/seqs_len),2)
h_fract = round((h_count*100.00/seqs_len),2)
i_fract = round((i_count*100.00/seqs_len),2)
j_fract = round((j_count*100.00/seqs_len),2)
k_fract = round((k_count*100.00/seqs_len),2)
l_fract = round((l_count*100.00/seqs_len),2)
m_fract = round((m_count*100.00/seqs_len),2)
n_fract = round((n_count*100.00/seqs_len),2)
o_fract = round((o_count*100.00/seqs_len),2)
p_fract = round((p_count*100.00/seqs_len),2)
q_fract = round((q_count*100.00/seqs_len),2)
r_fract = round((r_count*100.00/seqs_len),2)
s_fract = round((s_count*100.00/seqs_len),2)
t_fract = round((t_count*100.00/seqs_len),2)
u_fract = round((u_count*100.00/seqs_len),2)
v_fract = round((v_count*100.00/seqs_len),2)
w_fract = round((w_count*100.00/seqs_len),2)
x_fract = round((x_count*100.00/seqs_len),2)
y_fract = round((y_count*100.00/seqs_len),2)
z_fract = round((z_count*100.00/seqs_len),2)
stop_fract = round((stop_count*100.00/seqs_len),2)
###
at_fract = a_fract + t_fract
gc_fract = g_fract + c_fract
atgc_fract = a_fract + t_fract + g_fract + c_fract
# atgc_fract = round(atgc_fract)
atgc_fract = round(atgc_fract,2)
### STRING ###
a_fract = str(a_fract)
b_fract = str(b_fract)
c_fract = str(c_fract)
d_fract = str(d_fract)
e_fract = str(e_fract)
f_fract = str(f_fract)
g_fract = str(g_fract)
h_fract = str(h_fract)
i_fract = str(i_fract)
j_fract = str(j_fract)
k_fract = str(k_fract)
l_fract = str(l_fract)
m_fract = str(m_fract)
n_fract = str(n_fract)
o_fract = str(o_fract)
p_fract = str(p_fract)
q_fract = str(q_fract)
r_fract = str(r_fract)
s_fract = str(s_fract)
t_fract = str(t_fract)
u_fract = str(u_fract)
v_fract = str(v_fract)
w_fract = str(w_fract)
x_fract = str(x_fract)
y_fract = str(y_fract)
z_fract = str(z_fract)
stop_fract = str(stop_fract)
at_fract = str(at_fract)
gc_fract = str(gc_fract)
atgc_fract = str(atgc_fract)
### TRANSLATION ###
if trans_fr == 1 and seqs_len >= seqs_min_len:
# print "TRANSLATION: " + `trans_fr` + " FRAME -=- GENE CODE: " + `gen_code`
Seqs_Translator(proper_id, have_seqs, trans_fr, gen_code,gl_tr_file1,gl_tr_file2,gl_tr_file3,gl_tr_file4,gl_tr_file5,gl_tr_file6)
if trans_fr == 3 and seqs_len >= seqs_min_len:
# print "TRANSLATION: " + `trans_fr` + " FRAMES -=- GENE CODE: " + `gen_code`
Seqs_Translator(proper_id, have_seqs, trans_fr, gen_code,gl_tr_file1,gl_tr_file2,gl_tr_file3,gl_tr_file4,gl_tr_file5,gl_tr_file6)
if trans_fr == 6 and seqs_len >= seqs_min_len:
# print "TRANSLATION: " + `trans_fr` + " FRAMES -=- GENE CODE: " + `gen_code`
Seqs_Translator(proper_id, have_seqs, trans_fr, gen_code,gl_tr_file1,gl_tr_file2,gl_tr_file3,gl_tr_file4,gl_tr_file5,gl_tr_file6)
### END OF TRANSLATION ###
if seq_type == "DNA" and seqs_len >= seqs_min_len:
'''out_stat.write(proper_id + '\t' + `seqs_len` + '\t' + a_fract + '\t' + t_fract + '\t' + \
g_fract + '\t' + c_fract + '\t' + at_fract + '\t' + gc_fract + '\t' \
+ atgc_fract + '\t' + 'N: ' + n_fract + '\t' + 'X: ' + x_fract + '\n')'''
print("")
if seq_type == "prot" and seqs_len >= seqs_min_len:
'''out_stat.write(proper_id + '\t' + `seqs_len` + '\t' + \
a_fract + '\t' + b_fract + '\t' + \
c_fract + '\t' + d_fract + '\t' + \
e_fract + '\t' + f_fract + '\t' + \
g_fract + '\t' + h_fract + '\t' + \
i_fract + '\t' + j_fract + '\t' + \
k_fract + '\t' + l_fract + '\t' + \
m_fract + '\t' + n_fract + '\t' + \
o_fract + '\t' + p_fract + '\t' + \
q_fract + '\t' + r_fract + '\t' + \
s_fract + '\t' + t_fract + '\t' + \
u_fract + '\t' + v_fract + '\t' + \
w_fract + '\t' + x_fract + '\t' + \
y_fract + '\t' + z_fract + '\t' + \
stop_fract + '\t' + `stop_count` + '\n')'''
print("")
### STRING PROCESSING END ###
# print seqs_len
if have_seqs != "" and seqs_len >= seqs_min_len:
#out_file.write('>' + proper_id + ' ' + good_name + '\n')
#out_file.write(have_seqs + '\n')
#### END OF SUB_SEQ ####
#out_tab.write(proper_id + '\t' + `seqs_len` + '\t' + have_seqs + '\n')
print("")
##########################
break
if '\n' in t:
t = t[:-1]
if '\r' in t:
t = t[:-1]
fasta_match = t[0:1]
if fasta_match == ">":
gi_test = t[0:4]
if gi_test == ">gi|":
# print gi_test
descr_line = t
### REPLACE ALL TABS WITH WHITESPACES ###
descr_line = re.sub('\t', " ", descr_line)
#############################################
descr_line = re.sub("^>gi\|", "", descr_line)
descr_line = re.sub("\|", '\t', descr_line, 1)
# print line_counter
line_counter += 1
else:
descr_line = t
### REPLACE ALL TABS WITH WHITESPACES ###
descr_line = re.sub('\t', " ", descr_line)
#############################################
descr_line = re.sub("^>", "", descr_line)
descr_line = re.sub("\|", " ", descr_line, 1)
descr_line = re.sub(" ", '\t', descr_line, 1)
# print line_counter
line_counter = line_counter + 1
good_head = string.split(descr_line, '\t')[0]
try:
long_tail = string.split(descr_line, '\t')[1]
except:
long_tail = ""
###############################
dupl_status = "GOOD"
###############################
if good_head in fasta_id_array:
dupl_status = "BAD"
running_text = "\
\n\n Ooops... ID duplication \n\n check input for duplications \n\n\n ID: " + good_head + "\n\n\n"
#print running_text
###
### INSERT TKINTER TEXT MESSAGE BOX
###
break
fasta_id_array.append(good_head)
#print `line_counter` + '\t' + good_head
if line_counter != 1:
abc_up = ""
### SUB_SEQ FUNCTION ###
have_seqs = "".join(my_seqs)
seqs_len = len(have_seqs)
tot_len = tot_len + seqs_len
if seqs_len == 0:
seqs_len = 1
### STRING PROCESSING ###
if seq_type == "DNA":
have_seqs = Seqs_Nficator(have_seqs)
abc_up = have_seqs.upper()
###
### BINARY ###
if bin_mode == "BIN" and seqs_len >= seqs_min_len and seq_type == "DNA":
out_bin1.write(">" + proper_id + "_R REGULAR BINARY " + `seqs_len` + '\n')
out_bin2.write(">" + proper_id + "_S SHIFTED BINARY " + `seqs_len` + '\n')
#out_tab3.write(proper_id + '\t')
bin1_list = list(have_seqs)
bin2_list = []
for bin1_item in bin1_list:
if bin1_item in agct_list:
if bin1_item == "A":
out_bin1.write("00")
#out_tab3.write("00" + '\t')
bin2_list.append("00")
if bin1_item == "G":
out_bin1.write("01")
#out_tab3.write("01" + '\t')
bin2_list.append("01")
if bin1_item == "C":
out_bin1.write("10")
#out_tab3.write("10" + '\t')
bin2_list.append("10")
if bin1_item == "T":
out_bin1.write("11")
#out_tab3.write("11" + '\t')
bin2_list.append("11")
else:
out_bin1.write("--")
#out_tab3.write("--" + '\t')
bin2_list.append("--")
out_bin1.write('\n')
#out_tab3.write('\n')
# bin2tr_list = bin2_list[1:-1]
bin2_list = "".join(bin2_list)
# bin2tr_list = "".join(bin2tr_list)
bin2tr_list = bin2_list[1:-1]
# print bin2_list
# print bin2tr_list
out_bin2.write(bin2tr_list + '\n')
### BIN END ###
### BIN AGAIN ###
k1 = 0
k2 = 0
l1 = len(bin2_list)
l2 = len(bin2tr_list)
out_dna1.write(">" + proper_id + "_R REGULAR DNA " + `seqs_len` + '\n')
while k1 < l1:
m1 = k1 + 2
p1 = bin2_list[k1:m1] # binary duplet
if p1 in binary_list:
if p1 == "00":
out_dna1.write("A")
if p1 == "01":
out_dna1.write("G")
if p1 == "10":
out_dna1.write("C")
if p1 == "11":
out_dna1.write("T")
else:
out_dna1.write("N")
k1 = k1 + 2
out_dna1.write('\n')
out_dna2.write(">" + proper_id + "_S SHIFTED DNA " + `seqs_len` + '\n')
while k2 < l2:
m2 = k2 + 2
p2 = bin2tr_list[k2:m2] # binary duplet
if p2 in binary_list:
if p2 == "00":
out_dna2.write("A")
if p2 == "01":
out_dna2.write("G")
if p2 == "10":
out_dna2.write("C")
if p2 == "11":
out_dna2.write("T")
else:
out_dna2.write("N")
k2 = k2 + 2
out_dna2.write('\n')
### ******* ###
###
a_count = abc_up.count("A")
a_tot = a_tot + a_count
###
b_count = abc_up.count("B")
b_tot = b_tot + b_count
###
c_count = abc_up.count("C")
c_tot = c_tot + c_count
###
d_count = abc_up.count("D")
d_tot = d_tot + d_count
###
e_count = abc_up.count("E")
e_tot = e_tot + e_count
###
f_count = abc_up.count("F")
f_tot = f_tot + f_count
###
g_count = abc_up.count("G")
g_tot = g_tot + g_count
###
h_count = abc_up.count("H")
h_tot = h_tot + h_count
###
i_count = abc_up.count("I")
i_tot = i_tot + i_count
###
j_count = abc_up.count("J")
j_tot = j_tot + j_count
###
k_count = abc_up.count("K")
k_tot = k_tot + k_count
###
l_count = abc_up.count("L")
l_tot = l_tot + l_count
###
m_count = abc_up.count("M")
m_tot = m_tot + m_count
###
n_count = abc_up.count("N")
n_tot = n_tot + n_count
###
o_count = abc_up.count("O")
o_tot = o_tot + o_count
###
p_count = abc_up.count("P")
p_tot = p_tot + p_count
###
q_count = abc_up.count("Q")
q_tot = q_tot + q_count
###
r_count = abc_up.count("R")
r_tot = r_tot + r_count
###
s_count = abc_up.count("S")
s_tot = s_tot + s_count
###
t_count = abc_up.count("T")
t_tot = t_tot + t_count
###
u_count = abc_up.count("U")
u_tot = u_tot + u_count
###
v_count = abc_up.count("V")
v_tot = v_tot + v_count
###
w_count = abc_up.count("W")
w_tot = w_tot + w_count
###
x_count = abc_up.count("X")
x_tot = x_tot + x_count
###
y_count = abc_up.count("Y")
y_tot = y_tot + y_count
###
z_count = abc_up.count("Z")
z_tot = z_tot + z_count
###
stop_count = abc_up.count("*")
stop_tot = stop_tot + stop_count
###
a_fract = round((a_count*100.00/seqs_len),2)
b_fract = round((b_count*100.00/seqs_len),2)
c_fract = round((c_count*100.00/seqs_len),2)
d_fract = round((d_count*100.00/seqs_len),2)
e_fract = round((e_count*100.00/seqs_len),2)
f_fract = round((f_count*100.00/seqs_len),2)
g_fract = round((g_count*100.00/seqs_len),2)
h_fract = round((h_count*100.00/seqs_len),2)
i_fract = round((i_count*100.00/seqs_len),2)
j_fract = round((j_count*100.00/seqs_len),2)
k_fract = round((k_count*100.00/seqs_len),2)
l_fract = round((l_count*100.00/seqs_len),2)
m_fract = round((m_count*100.00/seqs_len),2)
n_fract = round((n_count*100.00/seqs_len),2)
o_fract = round((o_count*100.00/seqs_len),2)
p_fract = round((p_count*100.00/seqs_len),2)
q_fract = round((q_count*100.00/seqs_len),2)
r_fract = round((r_count*100.00/seqs_len),2)
s_fract = round((s_count*100.00/seqs_len),2)
t_fract = round((t_count*100.00/seqs_len),2)
u_fract = round((u_count*100.00/seqs_len),2)
v_fract = round((v_count*100.00/seqs_len),2)
w_fract = round((w_count*100.00/seqs_len),2)
x_fract = round((x_count*100.00/seqs_len),2)
y_fract = round((y_count*100.00/seqs_len),2)
z_fract = round((z_count*100.00/seqs_len),2)
stop_fract = round((stop_count*100.00/seqs_len),2)
###
at_fract = a_fract + t_fract
gc_fract = g_fract + c_fract
atgc_fract = a_fract + t_fract + g_fract + c_fract
# atgc_fract = round(atgc_fract)
atgc_fract = round(atgc_fract,2)
### STRING ###
a_fract = str(a_fract)
b_fract = str(b_fract)
c_fract = str(c_fract)
d_fract = str(d_fract)
e_fract = str(e_fract)
f_fract = str(f_fract)
g_fract = str(g_fract)
h_fract = str(h_fract)
i_fract = str(i_fract)
j_fract = str(j_fract)
k_fract = str(k_fract)
l_fract = str(l_fract)
m_fract = str(m_fract)
n_fract = str(n_fract)
o_fract = str(o_fract)
p_fract = str(p_fract)
q_fract = str(q_fract)
r_fract = str(r_fract)
s_fract = str(s_fract)
t_fract = str(t_fract)
u_fract = str(u_fract)
v_fract = str(v_fract)
w_fract = str(w_fract)
x_fract = str(x_fract)
y_fract = str(y_fract)
z_fract = str(z_fract)
stop_fract = str(stop_fract)
at_fract = str(at_fract)
gc_fract = str(gc_fract)
atgc_fract = str(atgc_fract)
### TRANSLATION ###
if trans_fr == 1 and seqs_len >= seqs_min_len:
# print "TRANSLATION: " + `trans_fr` + " FRAME -=- GENE CODE: " + `gen_code`
Seqs_Translator(proper_id, have_seqs, trans_fr, gen_code,gl_tr_file1,gl_tr_file2,gl_tr_file3,gl_tr_file4,gl_tr_file5,gl_tr_file6)
if trans_fr == 3 and seqs_len >= seqs_min_len:
# print "TRANSLATION: " + `trans_fr` + " FRAMES -=- GENE CODE: " + `gen_code`
Seqs_Translator(proper_id, have_seqs, trans_fr, gen_code,gl_tr_file1,gl_tr_file2,gl_tr_file3,gl_tr_file4,gl_tr_file5,gl_tr_file6)
if trans_fr == 6 and seqs_len >= seqs_min_len:
# print "TRANSLATION: " + `trans_fr` + " FRAMES -=- GENE CODE: " + `gen_code`
Seqs_Translator(proper_id, have_seqs, trans_fr, gen_code,gl_tr_file1,gl_tr_file2,gl_tr_file3,gl_tr_file4,gl_tr_file5,gl_tr_file6)
### END OF TRANSLATION ###
if seq_type == "DNA" and seqs_len >= seqs_min_len:
'''out_stat.write(proper_id + '\t' + `seqs_len` + '\t' + a_fract + '\t' + t_fract + '\t' + \
g_fract + '\t' + c_fract + '\t' + at_fract + '\t' + gc_fract + '\t' \
+ atgc_fract + '\t' + 'N: ' + n_fract + '\t' + 'X: ' + x_fract + '\n')'''
print("")
if seq_type == "prot" and seqs_len >= seqs_min_len:
'''out_stat.write(proper_id + '\t' + `seqs_len` + '\t' + \
a_fract + '\t' + b_fract + '\t' + \
c_fract + '\t' + d_fract + '\t' + \
e_fract + '\t' + f_fract + '\t' + \
g_fract + '\t' + h_fract + '\t' + \
i_fract + '\t' + j_fract + '\t' + \
k_fract + '\t' + l_fract + '\t' + \
m_fract + '\t' + n_fract + '\t' + \
o_fract + '\t' + p_fract + '\t' + \
q_fract + '\t' + r_fract + '\t' + \
s_fract + '\t' + t_fract + '\t' + \
u_fract + '\t' + v_fract + '\t' + \
w_fract + '\t' + x_fract + '\t' + \
y_fract + '\t' + z_fract + '\t' + \
stop_fract + '\t' + `stop_count` + '\n')'''
print("")
### STRING PROCESSING END ###
# print seqs_len
if have_seqs != "" and seqs_len >= seqs_min_len:
#out_file.write('>' + proper_id + ' ' + good_name + '\n')
#out_file.write(have_seqs + '\n')
#### END OF SUB_SEQ ####
#out_tab.write(proper_id + '\t' + `seqs_len` + '\t' + have_seqs + '\n')
print("")
##########################
have_seqs = ""
my_seqs = []
if fasta_match != ">" and fasta_match != "" and dupl_status == "GOOD":
proper_id = good_head
good_name = long_tail
my_seqs.append(t)
a_fract_tot = round((a_tot*100.00/tot_len),2)
b_fract_tot = round((b_tot*100.00/tot_len),2)
c_fract_tot = round((c_tot*100.00/tot_len),2)
d_fract_tot = round((d_tot*100.00/tot_len),2)
e_fract_tot = round((e_tot*100.00/tot_len),2)
f_fract_tot = round((f_tot*100.00/tot_len),2)
g_fract_tot = round((g_tot*100.00/tot_len),2)
h_fract_tot = round((h_tot*100.00/tot_len),2)
i_fract_tot = round((i_tot*100.00/tot_len),2)
j_fract_tot = round((j_tot*100.00/tot_len),2)
k_fract_tot = round((k_tot*100.00/tot_len),2)
l_fract_tot = round((l_tot*100.00/tot_len),2)
m_fract_tot = round((m_tot*100.00/tot_len),2)
n_fract_tot = round((n_tot*100.00/tot_len),2)
o_fract_tot = round((o_tot*100.00/tot_len),2)
p_fract_tot = round((p_tot*100.00/tot_len),2)
q_fract_tot = round((q_tot*100.00/tot_len),2)
r_fract_tot = round((r_tot*100.00/tot_len),2)
s_fract_tot = round((s_tot*100.00/tot_len),2)
t_fract_tot = round((t_tot*100.00/tot_len),2)
u_fract_tot = round((u_tot*100.00/tot_len),2)
v_fract_tot = round((v_tot*100.00/tot_len),2)
w_fract_tot = round((w_tot*100.00/tot_len),2)
x_fract_tot = round((x_tot*100.00/tot_len),2)
y_fract_tot = round((y_tot*100.00/tot_len),2)
z_fract_tot = round((z_tot*100.00/tot_len),2)
stop_fract_tot = round((stop_tot*100.00/tot_len),2)
###
at_fract_tot = a_fract_tot + t_fract_tot
gc_fract_tot = g_fract_tot + c_fract_tot
atgc_fract_tot = a_fract_tot + t_fract_tot + g_fract_tot + c_fract_tot
# atgc_fract_tot = round(atgc_fract_tot)
atgc_fract_tot = round(atgc_fract_tot,2)
### STRING ###
a_fract_tot = str(a_fract_tot)
b_fract_tot = str(b_fract_tot)
c_fract_tot = str(c_fract_tot)
d_fract_tot = str(d_fract_tot)
e_fract_tot = str(e_fract_tot)
f_fract_tot = str(f_fract_tot)
g_fract_tot = str(g_fract_tot)
h_fract_tot = str(h_fract_tot)
i_fract_tot = str(i_fract_tot)
j_fract_tot = str(j_fract_tot)
k_fract_tot = str(k_fract_tot)
l_fract_tot = str(l_fract_tot)
m_fract_tot = str(m_fract_tot)
n_fract_tot = str(n_fract_tot)
o_fract_tot = str(o_fract_tot)
p_fract_tot = str(p_fract_tot)
q_fract_tot = str(q_fract_tot)
r_fract_tot = str(r_fract_tot)
s_fract_tot = str(s_fract_tot)
t_fract_tot = str(t_fract_tot)
u_fract_tot = str(u_fract_tot)
v_fract_tot = str(v_fract_tot)
w_fract_tot = str(w_fract_tot)
x_fract_tot = str(x_fract_tot)
y_fract_tot = str(y_fract_tot)
z_fract_tot = str(z_fract_tot)
stop_fract_tot = str(stop_fract_tot)
at_fract_tot = str(at_fract_tot)
gc_fract_tot = str(gc_fract_tot)
atgc_fract_tot = str(atgc_fract_tot)
###
if seq_type == "DNA":
'''out_stat.write("#TOTAL" + '\t' + `tot_len` + '\t' + a_fract_tot + '\t' + t_fract_tot + '\t' + \
g_fract_tot + '\t' + c_fract_tot + '\t' + at_fract_tot + '\t' + gc_fract_tot + '\t' \
+ atgc_fract_tot + '\t' + 'N: ' + n_fract_tot + '\t' + 'X: ' + x_fract_tot + '\n')'''
if seq_type == "prot":
'''out_stat.write("#TOTAL" + '\t' + `tot_len` + '\t' + \
a_fract_tot + '\t' + b_fract_tot + '\t' + \
c_fract_tot + '\t' + d_fract_tot + '\t' + \
e_fract_tot + '\t' + f_fract_tot + '\t' + \
g_fract_tot + '\t' + h_fract_tot + '\t' + \
i_fract_tot + '\t' + j_fract_tot + '\t' + \
k_fract_tot + '\t' + l_fract_tot + '\t' + \
m_fract_tot + '\t' + n_fract_tot + '\t' + \
o_fract_tot + '\t' + p_fract_tot + '\t' + \
q_fract_tot + '\t' + r_fract_tot + '\t' + \
s_fract_tot + '\t' + t_fract_tot + '\t' + \
u_fract_tot + '\t' + v_fract_tot + '\t' + \
w_fract_tot + '\t' + x_fract_tot + '\t' + \
y_fract_tot + '\t' + z_fract_tot + '\t' + \
stop_fract_tot + '\t' + `stop_tot` + '\n')'''
print("\t")
in_file.close()
#out_file.close()
#out_stat.close()
#out_tab.close()
if bin_mode == "BIN":
out_bin1.close()
out_bin2.close()
out_dna1.close()
out_dna2.close()
out_tab3.close()
if trans_fr == 1:
gl_tr_file1.close()
gl_fw_file7.close()
gl_rc_file8.close()
gl_l0_file9.close()
gl_l1_file9.close()
gl_s_file10.close()
gl_l_file10.close()
tab_out1.close()
tab_out2.close()
if trans_fr == 3:
gl_tr_file1.close()
gl_tr_file2.close()
gl_tr_file3.close()
gl_fw_file7.close()
gl_rc_file8.close()
gl_l0_file9.close()
gl_l1_file9.close()
gl_l2_file9.close()
gl_l3_file9.close()
gl_ls_file9.close()
gl_s_file10.close()
gl_l_file10.close()
tab_out1.close()
tab_out2.close()
if trans_fr == 6:
#gl_tr_file1.close()
out1.close()
out2.close()
out3.close()
out4.close()
out5.close()
out6.close()
'''gl_tr_file2.close()
gl_tr_file3.close()
gl_tr_file4.close()
gl_tr_file5.close()
gl_tr_file6.close()
gl_fw_file7.close()
gl_rc_file8.close()
gl_l0_file9.close()
gl_l1_file9.close()
gl_l2_file9.close()
gl_l3_file9.close()
gl_l4_file9.close()
gl_l5_file9.close()
gl_l6_file9.close()
gl_ls_file9.close()
gl_s_file10.close()
gl_l_file10.close()
tab_out1.close()
tab_out2.close()'''
#print ""
#print " PROCESSING DONE "
#print ""
####### MAIN BODY ##############
import math
import re
import sys
import string
import time
if __name__ == "__main__":
if len(sys.argv) == 2 and sys.argv[1] == "help":
HelpTranslation()
sys.exit()
if len(sys.argv) <= 13 or len(sys.argv) > 14:
print ""
print " Program usage: "
print " input_file output_file DNA/prot trans_frame[0 1 3 6] genetic_code[1 2 3] BIN/NOBIN seqs_min_len"
print " Script counts \"ATGC\" content in FASTA file"
print " and translate DNA sequence into protein"
print " 0 - no translation; 1 - first frame"
print " 3 - three frames; 6 - all six frame"
print " Genetic Code: 1 - Standard; 2 - Vertebrate Mitochondrial; 3 - Yeast Mitochondrial"
print " BIN option - to generate 0100111010101001100 style DNA file "
print ""
print " use argument \"help\" - for help"
print ""
sys.exit()
if len(sys.argv) == 14:
in_name = sys.argv[1]
out_name = sys.argv[2]
seq_type = sys.argv[3]
trans_fr = sys.argv[4]
gen_code = sys.argv[5]
bin_mode = sys.argv[6]
seqs_min_len = sys.argv[7]
f1 = sys.argv[8]
f2 = sys.argv[9]
f3 = sys.argv[10]
f4 = sys.argv[11]
f5 = sys.argv[12]
f6 = sys.argv[13]
trans_fr = int(trans_fr)
gen_code = int(gen_code)
seqs_min_len = int(seqs_min_len)
if seqs_min_len < 12:
print " MIN SEQS LENGTH MUST BE 12 OR GREATER "
sys.exit()
if trans_fr != 0 and trans_fr != 1 and trans_fr != 3 and trans_fr != 6:
print " TRANSLATION FRAME MUST BE 0 1 3 or 6"
sys.exit()
if gen_code != 1 and gen_code != 2 and gen_code != 3:
print " GENE CODE MUST BE 1 2 or 3"
sys.exit()
if bin_mode != "BIN" and bin_mode != "NOBIN":
print " BIN/NOBIN argument must be BIN or NOBIN "
sys.exit()
if in_name != out_name:
Seqs_Cleaner(in_name, out_name, seq_type, trans_fr, gen_code, bin_mode, seqs_min_len, f1, f2, f3, f4, f5, f6)
else:
print "Output should have different name than Input"
sys.exit()
######### THE END ############
| 33.070725
| 162
| 0.568451
| 14,482
| 93,987
| 3.390139
| 0.046333
| 0.017924
| 0.024096
| 0.010754
| 0.761834
| 0.744989
| 0.720833
| 0.706351
| 0.671827
| 0.659158
| 0
| 0.051808
| 0.236852
| 93,987
| 2,841
| 163
| 33.082365
| 0.632686
| 0.069339
| 0
| 0.644434
| 0
| 0.002818
| 0.12948
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.002349
| null | null | 0.016909
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
87f14e762c8e66b96b6c2677ff5c616c1a932238
| 1,765
|
py
|
Python
|
querybuilder/tests/group_tests.py
|
wesokes/django-query-builder
|
3cc53d33ee0a4ada515635e4be631167a774b457
|
[
"MIT"
] | 110
|
2015-01-28T17:38:38.000Z
|
2022-02-17T02:51:55.000Z
|
querybuilder/tests/group_tests.py
|
wesokes/django-query-builder
|
3cc53d33ee0a4ada515635e4be631167a774b457
|
[
"MIT"
] | 31
|
2015-02-17T19:57:29.000Z
|
2021-08-30T03:44:55.000Z
|
querybuilder/tests/group_tests.py
|
wesokes/django-query-builder
|
3cc53d33ee0a4ada515635e4be631167a774b457
|
[
"MIT"
] | 33
|
2015-02-05T22:08:46.000Z
|
2021-12-06T08:12:49.000Z
|
from querybuilder.fields import CountField
from querybuilder.query import Query
from querybuilder.tests.query_tests import QueryTestCase, get_comparison_str
class GroupByTest(QueryTestCase):
def test_group_by_id(self):
query = Query().from_table(
table='test_table',
fields=[{
'num': CountField('id')
}]
).group_by(
field='id'
)
query_str = query.get_sql()
expected_query = 'SELECT COUNT(test_table.id) AS "num" FROM test_table GROUP BY id'
self.assertEqual(query_str, expected_query, get_comparison_str(query_str, expected_query))
def test_group_by_table_id(self):
query = Query().from_table(
table='test_table',
fields=[{
'num': CountField('id')
}]
).group_by(
field='id',
table='test_table',
)
query_str = query.get_sql()
expected_query = 'SELECT COUNT(test_table.id) AS "num" FROM test_table GROUP BY test_table.id'
self.assertEqual(query_str, expected_query, get_comparison_str(query_str, expected_query))
def test_group_by_many_table_id(self):
query = Query().from_table(
table='test_table',
fields=[{
'num': CountField('id')
}]
).group_by(
field='id',
table='test_table',
).group_by(
field='id2',
table='test_table',
)
query_str = query.get_sql()
expected_query = 'SELECT COUNT(test_table.id) AS "num" FROM test_table GROUP BY test_table.id, test_table.id2'
self.assertEqual(query_str, expected_query, get_comparison_str(query_str, expected_query))
| 34.607843
| 118
| 0.5983
| 208
| 1,765
| 4.769231
| 0.144231
| 0.136089
| 0.084677
| 0.127016
| 0.788306
| 0.788306
| 0.788306
| 0.788306
| 0.788306
| 0.788306
| 0
| 0.00161
| 0.296317
| 1,765
| 50
| 119
| 35.3
| 0.797101
| 0
| 0
| 0.666667
| 0
| 0.022222
| 0.177904
| 0
| 0
| 0
| 0
| 0
| 0.066667
| 1
| 0.066667
| false
| 0
| 0.066667
| 0
| 0.155556
| 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
|
87f605cf076f2604f13aee113f05d2994076b44f
| 183
|
py
|
Python
|
tests/conftest_container.py
|
levii/feedbackbox-py
|
5bf933d479e3ab62bd0fe8f01c72f83bf8fe4ed5
|
[
"MIT"
] | 1
|
2020-02-27T10:55:19.000Z
|
2020-02-27T10:55:19.000Z
|
tests/conftest_container.py
|
levii/feedbackbox-py
|
5bf933d479e3ab62bd0fe8f01c72f83bf8fe4ed5
|
[
"MIT"
] | null | null | null |
tests/conftest_container.py
|
levii/feedbackbox-py
|
5bf933d479e3ab62bd0fe8f01c72f83bf8fe4ed5
|
[
"MIT"
] | null | null | null |
from injector import Injector
from injector import singleton
from infra import Repository
container = Injector()
container.binder.bind(Repository, to=Repository(), scope=singleton)
| 22.875
| 67
| 0.819672
| 22
| 183
| 6.818182
| 0.5
| 0.16
| 0.24
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10929
| 183
| 7
| 68
| 26.142857
| 0.920245
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 0.6
| 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
|
87fd93a98cd36e91638e72b00070d4d418c90a79
| 90
|
py
|
Python
|
qtpyvcp/widgets/qtdesigner/__init__.py
|
Lcvette/qtpyvcp
|
4143a4a4e1f557f7d0c8998c886b4a254f0be60b
|
[
"BSD-3-Clause-LBNL",
"MIT"
] | 1
|
2021-11-10T06:34:38.000Z
|
2021-11-10T06:34:38.000Z
|
qtpyvcp/widgets/qtdesigner/__init__.py
|
adargel/qtpyvcp
|
2fcb9c26616ac4effa8d92befa9e1c00a80daafa
|
[
"BSD-3-Clause-LBNL",
"MIT"
] | null | null | null |
qtpyvcp/widgets/qtdesigner/__init__.py
|
adargel/qtpyvcp
|
2fcb9c26616ac4effa8d92befa9e1c00a80daafa
|
[
"BSD-3-Clause-LBNL",
"MIT"
] | null | null | null |
from designer_plugin import _DesignerPlugin
from plugin_extension import _PluginExtension
| 30
| 45
| 0.911111
| 10
| 90
| 7.8
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088889
| 90
| 2
| 46
| 45
| 0.95122
| 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
|
e207370e43f609ac700cc691bcbed1ae78d69b9c
| 85
|
py
|
Python
|
utils/__init__.py
|
ElunDai/datasets
|
7623eca1cd9c60e1f40b9490d0170c8508f25c12
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
ElunDai/datasets
|
7623eca1cd9c60e1f40b9490d0170c8508f25c12
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
ElunDai/datasets
|
7623eca1cd9c60e1f40b9490d0170c8508f25c12
|
[
"MIT"
] | null | null | null |
from .downloader import download, get_dataset
__all__ = ['download', 'get_dataset']
| 21.25
| 45
| 0.764706
| 10
| 85
| 5.9
| 0.7
| 0.372881
| 0.610169
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 85
| 3
| 46
| 28.333333
| 0.786667
| 0
| 0
| 0
| 0
| 0
| 0.223529
| 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
|
35609a2269ae3b10f2f74d66d4db866bb10c4cf3
| 5,299
|
py
|
Python
|
unittests/test_reasoner.py
|
di2ag/bkb-pathway-provider
|
42824f22868c5c5d777da3facb4209744bcc6f96
|
[
"MIT"
] | null | null | null |
unittests/test_reasoner.py
|
di2ag/bkb-pathway-provider
|
42824f22868c5c5d777da3facb4209744bcc6f96
|
[
"MIT"
] | 7
|
2021-01-13T22:25:46.000Z
|
2021-07-29T15:26:06.000Z
|
unittests/test_reasoner.py
|
NCATSTranslator/chp
|
00668fd3d50a48fdd75abbeacaf173a3ad41942d
|
[
"Apache-2.0"
] | 2
|
2021-01-14T19:06:24.000Z
|
2021-01-26T15:02:12.000Z
|
import json
import unittest
import pickle
import logging
from chp_data.bkb_handler import BkbDataHandler
from chp.reasoner import ChpDynamicReasoner, ChpJointReasoner
from chp.query import Query
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
class TestJointReasoner(unittest.TestCase):
@classmethod
def setUpClass(cls):
super(TestJointReasoner, cls).setUpClass()
cls.bkb_handler = BkbDataHandler()
cls.joint_reasoner = ChpJointReasoner(cls.bkb_handler)
def test_joint_reasoner_one_gene(self):
# Specify evidence
evidence = {'ENSEMBL:ENSG00000155657': 'True'}
# Specify targets
dynamic_targets = {
"EFO:0000714": {
"op": '>=',
"value": 1000
}
}
# Setup query
query = Query(
evidence=evidence,
dynamic_targets=dynamic_targets
)
query = self.joint_reasoner.run_query(query)
def test_joint_reasoner_one_gene_one_drug(self):
# Specify evidence
evidence = {
'ENSEMBL:ENSG00000155657': 'True',
'CHEMBL:CHEMBL83': 'True',
}
# Specify targets
dynamic_targets = {
"EFO:0000714": {
"op": '>=',
"value": 1000
}
}
# Setup query
query = Query(
evidence=evidence,
dynamic_targets=dynamic_targets
)
query = self.joint_reasoner.run_query(query)
class TestDynamicReasoner(unittest.TestCase):
@classmethod
def setUpClass(cls):
super(TestDynamicReasoner, cls).setUpClass()
cls.bkb_handler = BkbDataHandler(disease='tcga_brca')
cls.dynamic_reasoner = ChpDynamicReasoner(cls.bkb_handler)
def test_dynamic_reasoner_one_gene(self):
# Specify evidence
meta_evidence = {'ENSEMBL:ENSG00000155657': 'True'}
# Specify targets
dynamic_targets = {
"EFO:0000714": {
"op": '>=',
"value": 1000
}
}
# Setup query
query = Query(
meta_evidence=meta_evidence,
dynamic_targets=dynamic_targets
)
query = self.dynamic_reasoner.run_query(query)
query.result.summary(include_contributions=False)
def test_dynamic_reasoner_one_gene_one_drug(self):
# Specify evidence
dynamic_evidence = {
'CHEMBL:CHEMBL83': {
"op": '==',
"value": 'True',
}
}
meta_evidence = {
'ENSEMBL:ENSG00000155657': 'True',
}
# Specify targets
dynamic_targets = {
"EFO:0000714": {
"op": '>=',
"value": 1000
}
}
# Setup query
query = Query(
dynamic_evidence=dynamic_evidence,
meta_evidence=meta_evidence,
dynamic_targets=dynamic_targets
)
query = self.dynamic_reasoner.run_query(query)
query.result.summary(include_contributions=False)
def test_dynamic_reasoner_two_gene_one_drug(self):
# Specify evidence
dynamic_evidence = {
'CHEMBL:CHEMBL83': {
"op": '==',
"value": 'True',
}
}
meta_evidence = {
'ENSEMBL:ENSG00000155657': 'True',
'ENSEMBL:ENSG00000241973': 'True',
}
# Specify targets
dynamic_targets = {
"EFO:0000714": {
"op": '>=',
"value": 1000
}
}
# Setup query
query = Query(
dynamic_evidence=dynamic_evidence,
meta_evidence=meta_evidence,
dynamic_targets=dynamic_targets
)
query = self.dynamic_reasoner.run_query(query)
query.result.summary(include_contributions=False)
def test_dynamic_reasoner_one_drug_survival(self):
# Specify evidence
meta_evidence = {
'CHEMBL:CHEMBL83': 'True',
}
# Specify targets
dynamic_targets = {
"EFO:0000714": {
"op": '>=',
"value": 1000
}
}
# Setup query
query = Query(
meta_evidence=meta_evidence,
dynamic_targets=dynamic_targets
)
query = self.dynamic_reasoner.run_query(query, bkb_type='drug')
query.result.summary(include_contributions=False)
def test_dynamic_reasoner_two_drug_survival(self):
# Specify evidence
meta_evidence = {
'CHEMBL:CHEMBL83': 'True',
'CHEMBL:CHEMBL1201247': 'True',
}
# Specify targets
dynamic_targets = {
"EFO:0000714": {
"op": '>=',
"value": 1000
}
}
# Setup query
query = Query(
meta_evidence=meta_evidence,
dynamic_targets=dynamic_targets
)
query = self.dynamic_reasoner.run_query(query, bkb_type='drug')
query.result.summary(include_contributions=False)
if __name__ == '__main__':
unittest.main()
| 28.798913
| 72
| 0.547839
| 456
| 5,299
| 6.10307
| 0.151316
| 0.086238
| 0.105641
| 0.062882
| 0.827165
| 0.817822
| 0.757815
| 0.704276
| 0.689544
| 0.689544
| 0
| 0.046948
| 0.35686
| 5,299
| 183
| 73
| 28.956284
| 0.76966
| 0.059256
| 0
| 0.578231
| 0
| 0
| 0.093492
| 0.027806
| 0
| 0
| 0
| 0
| 0
| 1
| 0.061224
| false
| 0
| 0.047619
| 0
| 0.122449
| 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
|
358c594021c7e3668c85874e13b5c6854b7c28eb
| 896
|
py
|
Python
|
venv/lib/python3.6/site-packages/tests/test_models.py
|
Guillaume-Fernandez/phishfinder
|
b459a30202fd5dfb1340b43c70363705de7cedd9
|
[
"MIT"
] | 25
|
2018-01-19T18:50:05.000Z
|
2022-02-07T12:34:30.000Z
|
venv/lib/python3.6/site-packages/tests/test_models.py
|
Guillaume-Fernandez/phishfinder
|
b459a30202fd5dfb1340b43c70363705de7cedd9
|
[
"MIT"
] | 35
|
2018-10-14T00:50:44.000Z
|
2022-02-06T02:29:49.000Z
|
venv/lib/python3.6/site-packages/tests/test_models.py
|
Guillaume-Fernandez/phishfinder
|
b459a30202fd5dfb1340b43c70363705de7cedd9
|
[
"MIT"
] | 7
|
2020-03-06T17:01:15.000Z
|
2022-01-10T15:37:57.000Z
|
import unittest
from proxy_db.models import Proxy, PROTOCOLS
from ._compat import patch
class TestProxy(unittest.TestCase):
proxy_id = '1.1.1.1:8888'
def test_get(self):
self.assertEqual(Proxy(id=self.proxy_id).get('http'), self.proxy_id)
def test_get_default(self):
self.assertEqual(Proxy(id=self.proxy_id).get('spam', 'foo'), 'foo')
@patch('proxy_db.models.create_session')
def test_vote(self, m):
Proxy(id=self.proxy_id).positive()
Proxy(id=self.proxy_id).negative()
def test_in(self):
proxy = Proxy(id=self.proxy_id)
for protocol in PROTOCOLS:
self.assertTrue(protocol in proxy)
def test_copy(self):
self.assertEqual(Proxy(id=self.proxy_id).copy(), {key: self.proxy_id for key in PROTOCOLS})
def test_str(self):
self.assertEqual(str(Proxy(id=self.proxy_id)), self.proxy_id)
| 28
| 99
| 0.670759
| 133
| 896
| 4.353383
| 0.278195
| 0.217617
| 0.189983
| 0.221071
| 0.345423
| 0.202073
| 0.202073
| 0.202073
| 0.138169
| 0
| 0
| 0.01108
| 0.194196
| 896
| 31
| 100
| 28.903226
| 0.790859
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 0.033482
| 0
| 0
| 0
| 0
| 0.238095
| 1
| 0.285714
| false
| 0
| 0.142857
| 0
| 0.52381
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
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| 0
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| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
35b4e108332ff022ade10709180f4453a3df673e
| 93
|
py
|
Python
|
src/Adobe Trial Resetter.py
|
OmerFI/AdobeCracker
|
5528e955f771248f64700ae4ae1f04d091d9a75b
|
[
"MIT"
] | 6
|
2021-02-26T13:38:26.000Z
|
2021-04-07T19:44:16.000Z
|
src/Adobe Trial Resetter.py
|
OmerFI/AdobeCracker
|
5528e955f771248f64700ae4ae1f04d091d9a75b
|
[
"MIT"
] | null | null | null |
src/Adobe Trial Resetter.py
|
OmerFI/AdobeCracker
|
5528e955f771248f64700ae4ae1f04d091d9a75b
|
[
"MIT"
] | null | null | null |
from gui_manager import Main
if __name__ == "__main__":
main = Main()
main._main()
| 13.285714
| 28
| 0.645161
| 12
| 93
| 4.166667
| 0.583333
| 0.64
| 0.72
| 0.64
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.236559
| 93
| 6
| 29
| 15.5
| 0.704225
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| 0
| 0
| 0
| 0
|
0
| 5
|
35c460605c6c8de067a25599b4de38e2e3c9de5b
| 125
|
py
|
Python
|
ghost2app/admin.py
|
jkube38/ghost-post-api
|
c1edb7e357b36a6af28452ea68c48d9437ab6920
|
[
"MIT"
] | null | null | null |
ghost2app/admin.py
|
jkube38/ghost-post-api
|
c1edb7e357b36a6af28452ea68c48d9437ab6920
|
[
"MIT"
] | null | null | null |
ghost2app/admin.py
|
jkube38/ghost-post-api
|
c1edb7e357b36a6af28452ea68c48d9437ab6920
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from ghost2app.models import Posts
# Register your models here.
admin.site.register(Posts)
| 20.833333
| 34
| 0.816
| 18
| 125
| 5.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009091
| 0.12
| 125
| 5
| 35
| 25
| 0.918182
| 0.208
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| 1
| 0
| 1
| 0
|
0
| 5
|
35c7ec1d529dafcb5b01ed7324241195b4819d95
| 117
|
py
|
Python
|
lectures/code/functions_default_args2.py
|
naskoch/python_course
|
84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3
|
[
"MIT"
] | 4
|
2015-08-10T17:46:55.000Z
|
2020-04-18T21:09:03.000Z
|
lectures/code/functions_default_args2.py
|
naskoch/python_course
|
84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3
|
[
"MIT"
] | null | null | null |
lectures/code/functions_default_args2.py
|
naskoch/python_course
|
84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3
|
[
"MIT"
] | 2
|
2019-04-24T03:31:02.000Z
|
2019-05-13T07:36:06.000Z
|
def func(x, a=1, b=3):
return x + a - b
print func(2) # 0
print func(5, 2) # 4
print func(3, b=0) # 4
| 16.714286
| 23
| 0.487179
| 26
| 117
| 2.192308
| 0.5
| 0.473684
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128205
| 0.333333
| 117
| 6
| 24
| 19.5
| 0.602564
| 0.042735
| 0
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| null | null | 0
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| null | null | 0.6
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| 0
| 0
| 0
| 1
|
0
| 5
|
ea028dc4d828ef9191339d24abca1b79f3bd832e
| 102
|
py
|
Python
|
treewalker/__init__.py
|
jaapvandervelde/treewalker
|
af6cd770c3cd035421f51bcfaaf30233367176a7
|
[
"MIT"
] | null | null | null |
treewalker/__init__.py
|
jaapvandervelde/treewalker
|
af6cd770c3cd035421f51bcfaaf30233367176a7
|
[
"MIT"
] | null | null | null |
treewalker/__init__.py
|
jaapvandervelde/treewalker
|
af6cd770c3cd035421f51bcfaaf30233367176a7
|
[
"MIT"
] | null | null | null |
from ._version import __version__
from .treewalker import TreeWalker
from ._nice_size import nice_size
| 34
| 34
| 0.862745
| 14
| 102
| 5.714286
| 0.428571
| 0.2
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0.107843
| 102
| 3
| 35
| 34
| 0.879121
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| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
ea0c9da6f66a14c5259bcfc9c8ea87579a78ac30
| 159
|
py
|
Python
|
questionnaire_core/models/__init__.py
|
ferdinand-hoffmann/django-questionnaire-core
|
8ae73d142a3a622a1bea6a68f6be52fd8493c810
|
[
"MIT"
] | null | null | null |
questionnaire_core/models/__init__.py
|
ferdinand-hoffmann/django-questionnaire-core
|
8ae73d142a3a622a1bea6a68f6be52fd8493c810
|
[
"MIT"
] | null | null | null |
questionnaire_core/models/__init__.py
|
ferdinand-hoffmann/django-questionnaire-core
|
8ae73d142a3a622a1bea6a68f6be52fd8493c810
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from .questionnaire import Questionnaire, Question # NOQA
from .result import QuestionnaireResult, QuestionAnswer, AnswerFile # NOQA
| 39.75
| 75
| 0.761006
| 16
| 159
| 7.5625
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007299
| 0.138365
| 159
| 3
| 76
| 53
| 0.875912
| 0.194969
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
ea35467f8acc401097a45b4a447f332bfce2e0b7
| 364
|
py
|
Python
|
slate/obsidian/objects/__init__.py
|
OpenRobot-Packages/slate
|
687a73dab1fac2e8b1d65297f1fdef0ec8301a16
|
[
"MIT"
] | 9
|
2021-01-24T00:47:36.000Z
|
2021-09-15T07:25:08.000Z
|
slate/obsidian/objects/__init__.py
|
OpenRobot-Packages/slate
|
687a73dab1fac2e8b1d65297f1fdef0ec8301a16
|
[
"MIT"
] | 1
|
2021-06-17T00:42:54.000Z
|
2021-06-17T00:42:54.000Z
|
slate/obsidian/objects/__init__.py
|
OpenRobot-Packages/slate
|
687a73dab1fac2e8b1d65297f1fdef0ec8301a16
|
[
"MIT"
] | 3
|
2021-01-06T09:53:21.000Z
|
2021-09-08T05:01:39.000Z
|
# Future
from __future__ import annotations
# My stuff
from slate.obsidian.objects.enums import *
from slate.obsidian.objects.events import *
from slate.obsidian.objects.filters import *
from slate.obsidian.objects.playlist import *
from slate.obsidian.objects.search import *
from slate.obsidian.objects.stats import *
from slate.obsidian.objects.track import *
| 30.333333
| 45
| 0.813187
| 49
| 364
| 5.959184
| 0.326531
| 0.215753
| 0.407534
| 0.575342
| 0.616438
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104396
| 364
| 11
| 46
| 33.090909
| 0.895706
| 0.041209
| 0
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| 1
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| true
| 0
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
5776293ec40c215d59cefdb708f71035d16da04a
| 201
|
py
|
Python
|
minigest/tributi/models/imposta.py
|
ctrlmaniac/minigest
|
2bfceb57e41c872e4112e24d0e6991164846888b
|
[
"MIT"
] | null | null | null |
minigest/tributi/models/imposta.py
|
ctrlmaniac/minigest
|
2bfceb57e41c872e4112e24d0e6991164846888b
|
[
"MIT"
] | 1
|
2021-09-22T19:10:20.000Z
|
2021-09-22T19:10:20.000Z
|
minigest/tributi/models/imposta.py
|
ctrlmaniac/minigest
|
2bfceb57e41c872e4112e24d0e6991164846888b
|
[
"MIT"
] | null | null | null |
from django.db import models
from polymorphic.models import PolymorphicModel
class Imposta(PolymorphicModel):
class Meta:
verbose_name = "Imposta"
verbose_name_plural = "Imposte"
| 22.333333
| 47
| 0.741294
| 22
| 201
| 6.636364
| 0.636364
| 0.287671
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.199005
| 201
| 8
| 48
| 25.125
| 0.906832
| 0
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| 0
| 0
| 0.069652
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
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| null | 1
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
57809d04163bd5ce274cea7440f06d322ef2c1ee
| 908
|
py
|
Python
|
sesja07/task.py
|
CodeCarrots/warsztaty
|
ee5e3db728fd7154953041f8aca88a97aacf960b
|
[
"CC0-1.0"
] | 2
|
2015-01-10T21:20:43.000Z
|
2015-05-23T05:07:15.000Z
|
sesja07/task.py
|
CodeCarrots/warsztaty
|
ee5e3db728fd7154953041f8aca88a97aacf960b
|
[
"CC0-1.0"
] | null | null | null |
sesja07/task.py
|
CodeCarrots/warsztaty
|
ee5e3db728fd7154953041f8aca88a97aacf960b
|
[
"CC0-1.0"
] | null | null | null |
import tamagotchi
# TODO: import food
# TODO: import meal
##
# głównym zadaniem jest zaimplementować "jadalne" klasy w plikach
# food.py i meal.py tak aby można było je wykorzystać do nakarmienia
# przykładowego Tamagotchi zaimplementowanego w pliku tamagotchi.py
# TODO: tutaj utwórz jeden obiekt Tamagotchi (nazwij go jakoś zabawnie! ;)
# np.:
#
# bftI = tamagotchi.Tamagotchi('Bardzo Formalny Tamagotchi I')
# TODO: następnie utwórz obiekt jadalny
# np.:
#
# apple = food.Food('Jabłko', 10)
# TODO: teraz już możesz zająć się stworzonym Tamagotchi - zobacz w
# pliku tamagotchi.py jakie metody mają obiekty tej klasy
# np.:
#
# print("głodny?:", bftI.is_hungry())
# ...
# TODO: na koniec wypisz na ekran stan swojego Tamagotchi korzystając
# z metody print_status():
#
# bftI.print_status()
#
# (postaraj się wcześniej tak go potraktować żeby nie był ani głodny
# ani zmęczony ;)
#
# powodzenia!
| 22.7
| 74
| 0.735683
| 121
| 908
| 5.495868
| 0.636364
| 0.030075
| 0.04812
| 0.054135
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002642
| 0.1663
| 908
| 39
| 75
| 23.282051
| 0.875826
| 0.904185
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| 0.025641
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| 1
| 0
| 1
| 0
|
0
| 5
|
17b87b7b69cba442350e4c2877815b8c9d8bdb69
| 141
|
py
|
Python
|
tests/__init__.py
|
myrachins/LexSubGen
|
5fe27901fa96e51c94280d0938135907a2e5fd80
|
[
"Apache-2.0"
] | 32
|
2020-11-09T04:55:30.000Z
|
2022-02-20T10:10:19.000Z
|
tests/__init__.py
|
myrachins/LexSubGen
|
5fe27901fa96e51c94280d0938135907a2e5fd80
|
[
"Apache-2.0"
] | 3
|
2021-05-31T08:55:27.000Z
|
2021-11-27T18:38:14.000Z
|
tests/__init__.py
|
myrachins/LexSubGen
|
5fe27901fa96e51c94280d0938135907a2e5fd80
|
[
"Apache-2.0"
] | 9
|
2020-11-28T11:19:35.000Z
|
2022-02-20T12:29:15.000Z
|
# import sys
# from pathlib import Path
#
# LEXSUBGEN_PATH = Path(__file__).resolve().parent.parent
#
# sys.path.append(str(LEXSUBGEN_PATH))
| 20.142857
| 57
| 0.744681
| 19
| 141
| 5.210526
| 0.578947
| 0.262626
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113475
| 141
| 6
| 58
| 23.5
| 0.792
| 0.907801
| 0
| null | 0
| null | 0
| 0
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| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
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| null | 1
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| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
17ce1254977aceb465faef3186d4cd3ae574b439
| 82
|
py
|
Python
|
projects/pyworld/__init__.py
|
stefannesic/world
|
44c01623ab1777c3224f83f53b74d50b58372fb1
|
[
"MIT"
] | 16
|
2021-03-14T16:30:32.000Z
|
2022-03-18T13:41:53.000Z
|
projects/pyworld/__init__.py
|
stefannesic/world
|
44c01623ab1777c3224f83f53b74d50b58372fb1
|
[
"MIT"
] | 1
|
2020-04-21T12:59:37.000Z
|
2020-04-23T17:49:03.000Z
|
projects/pyworld/__init__.py
|
stefannesic/world
|
44c01623ab1777c3224f83f53b74d50b58372fb1
|
[
"MIT"
] | 4
|
2020-03-08T14:04:50.000Z
|
2020-12-03T08:51:04.000Z
|
"""fichier __init__.py - package core"""
from __future__ import absolute_import
| 16.4
| 40
| 0.768293
| 10
| 82
| 5.4
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134146
| 82
| 4
| 41
| 20.5
| 0.760563
| 0.414634
| 0
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| 0
| 1
| 0
|
0
| 5
|
17d1359b75c2e00c7fb0dfa401c4b3bb01d9264d
| 4,485
|
py
|
Python
|
test/pyaz/acs/__init__.py
|
bigdatamoore/py-az-cli
|
54383a4ee7cc77556f6183e74e992eec95b28e01
|
[
"MIT"
] | null | null | null |
test/pyaz/acs/__init__.py
|
bigdatamoore/py-az-cli
|
54383a4ee7cc77556f6183e74e992eec95b28e01
|
[
"MIT"
] | 9
|
2021-09-24T16:37:24.000Z
|
2021-12-24T00:39:19.000Z
|
test/pyaz/acs/__init__.py
|
bigdatamoore/py-az-cli
|
54383a4ee7cc77556f6183e74e992eec95b28e01
|
[
"MIT"
] | null | null | null |
import json, subprocess
from .. pyaz_utils import get_cli_name, get_params
def browse(resource_group, name, disable_browser=None, ssh_key_file=None):
params = get_params(locals())
command = "az acs browse " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def create(resource_group, deployment_name=None, name, ssh_key_value=None, dns_prefix=None, location=None, admin_username=None, api_version=None, master_profile=None, master_vm_size=None, master_osdisk_size=None, master_count=None, master_vnet_subnet_id=None, master_first_consecutive_static_ip=None, master_storage_profile=None, agent_profiles=None, agent_vm_size=None, agent_osdisk_size=None, agent_count=None, agent_vnet_subnet_id=None, agent_ports=None, agent_storage_profile=None, orchestrator_type=None, orchestrator_version=None, service_principal=None, client_secret=None, tags=None, windows=None, admin_password=None, generate_ssh_keys=None, validate=None, no_wait=None):
params = get_params(locals())
command = "az acs create " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def delete(resource_group, name, yes=None):
params = get_params(locals())
command = "az acs delete " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def list(resource_group=None):
params = get_params(locals())
command = "az acs list " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def list_locations():
params = get_params(locals())
command = "az acs list-locations " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def scale(resource_group, name, new_agent_count):
params = get_params(locals())
command = "az acs scale " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def show(resource_group, name):
params = get_params(locals())
command = "az acs show " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def wait(resource_group, name, timeout=None, interval=None, deleted=None, created=None, updated=None, exists=None, custom=None):
params = get_params(locals())
command = "az acs wait " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
| 38.663793
| 680
| 0.682943
| 570
| 4,485
| 5.257895
| 0.168421
| 0.074741
| 0.053387
| 0.056056
| 0.705038
| 0.705038
| 0.705038
| 0.683016
| 0.607608
| 0.607608
| 0
| 0.004469
| 0.201784
| 4,485
| 115
| 681
| 39
| 0.832682
| 0
| 0
| 0.830189
| 0
| 0
| 0.043032
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.009434
| 0.018868
| null | null | 0.226415
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
aa4485b7fdfb7b5e27a902404e1e95cad71a4142
| 296
|
py
|
Python
|
journey11/src/lib/uniqueref.py
|
parrisma/AI-intuition
|
3b081696b1d226815e029cbb536fac5e4d3de9a7
|
[
"MIT"
] | null | null | null |
journey11/src/lib/uniqueref.py
|
parrisma/AI-intuition
|
3b081696b1d226815e029cbb536fac5e4d3de9a7
|
[
"MIT"
] | 4
|
2020-04-26T18:18:22.000Z
|
2020-05-16T14:47:32.000Z
|
journey11/src/lib/uniqueref.py
|
parrisma/AI-intuition
|
3b081696b1d226815e029cbb536fac5e4d3de9a7
|
[
"MIT"
] | null | null | null |
import uuid
class UniqueRef:
def __init__(self):
self._unique_ref = str(uuid.uuid4()).replace('-', '')
@property
def ref(self) -> str:
return self._unique_ref
def __str__(self):
return self._unique_ref
def __repr__(self):
return str(self)
| 17.411765
| 61
| 0.601351
| 36
| 296
| 4.444444
| 0.416667
| 0.1875
| 0.24375
| 0.2375
| 0.275
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004673
| 0.277027
| 296
| 16
| 62
| 18.5
| 0.742991
| 0
| 0
| 0.181818
| 0
| 0
| 0.003378
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.363636
| false
| 0
| 0.090909
| 0.272727
| 0.818182
| 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
|
a4e53d307ee95213176429335bc898fc06706640
| 54
|
py
|
Python
|
user/forms/__init__.py
|
AmatanHead/collective-blog
|
9bf040faac43feae08b33900e30bf7d17b817ae4
|
[
"MIT"
] | null | null | null |
user/forms/__init__.py
|
AmatanHead/collective-blog
|
9bf040faac43feae08b33900e30bf7d17b817ae4
|
[
"MIT"
] | 4
|
2016-09-22T06:37:20.000Z
|
2016-09-22T16:49:48.000Z
|
user/forms/__init__.py
|
AmatanHead/collective-blog
|
9bf040faac43feae08b33900e30bf7d17b817ae4
|
[
"MIT"
] | null | null | null |
from .auth_forms import *
from .profile_form import *
| 18
| 27
| 0.777778
| 8
| 54
| 5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 54
| 2
| 28
| 27
| 0.869565
| 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
|
a4f5767d18b6831a42f00805d7bacddc2f560a93
| 162
|
py
|
Python
|
semana6/lab06/tienda/admin.py
|
SPFelipe/TECSUP-DAE-2021-2
|
ec218d0a7fa66a73e3e0a8889e325cf2ce2a74d3
|
[
"MIT"
] | null | null | null |
semana6/lab06/tienda/admin.py
|
SPFelipe/TECSUP-DAE-2021-2
|
ec218d0a7fa66a73e3e0a8889e325cf2ce2a74d3
|
[
"MIT"
] | null | null | null |
semana6/lab06/tienda/admin.py
|
SPFelipe/TECSUP-DAE-2021-2
|
ec218d0a7fa66a73e3e0a8889e325cf2ce2a74d3
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
# Register your models here.
from .models import Categoria, Product
admin.site.register(Categoria)
admin.site.register(Product)
| 23.142857
| 38
| 0.814815
| 22
| 162
| 6
| 0.545455
| 0.136364
| 0.257576
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104938
| 162
| 7
| 39
| 23.142857
| 0.910345
| 0.160494
| 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
|
3500fd7ca85b3079acfe81b928f14a3d0f04ddf8
| 784
|
py
|
Python
|
OpenGLCffi/GLES1/EXT/OES/draw_texture.py
|
cydenix/OpenGLCffi
|
c78f51ae5e6b655eb2ea98f072771cf69e2197f3
|
[
"MIT"
] | null | null | null |
OpenGLCffi/GLES1/EXT/OES/draw_texture.py
|
cydenix/OpenGLCffi
|
c78f51ae5e6b655eb2ea98f072771cf69e2197f3
|
[
"MIT"
] | null | null | null |
OpenGLCffi/GLES1/EXT/OES/draw_texture.py
|
cydenix/OpenGLCffi
|
c78f51ae5e6b655eb2ea98f072771cf69e2197f3
|
[
"MIT"
] | null | null | null |
from OpenGLCffi.GLES1 import params
@params(api='gles1', prms=['x', 'y', 'z', 'width', 'height'])
def glDrawTexsOES(x, y, z, width, height):
pass
@params(api='gles1', prms=['x', 'y', 'z', 'width', 'height'])
def glDrawTexiOES(x, y, z, width, height):
pass
@params(api='gles1', prms=['x', 'y', 'z', 'width', 'height'])
def glDrawTexxOES(x, y, z, width, height):
pass
@params(api='gles1', prms=['coords'])
def glDrawTexsvOES(coords):
pass
@params(api='gles1', prms=['coords'])
def glDrawTexivOES(coords):
pass
@params(api='gles1', prms=['coords'])
def glDrawTexxvOES(coords):
pass
@params(api='gles1', prms=['x', 'y', 'z', 'width', 'height'])
def glDrawTexfOES(x, y, z, width, height):
pass
@params(api='gles1', prms=['coords'])
def glDrawTexfvOES(coords):
pass
| 18.666667
| 61
| 0.63648
| 109
| 784
| 4.577982
| 0.211009
| 0.144289
| 0.224449
| 0.288577
| 0.701403
| 0.701403
| 0.689379
| 0.689379
| 0.541082
| 0.541082
| 0
| 0.013158
| 0.127551
| 784
| 41
| 62
| 19.121951
| 0.716374
| 0
| 0
| 0.64
| 0
| 0
| 0.153453
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.32
| false
| 0.32
| 0.04
| 0
| 0.36
| 0
| 0
| 0
| 0
| null | 0
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
102edcaf64a70fbb2fbc4d48f1f5b02e2b563268
| 1,510
|
py
|
Python
|
tests/root_chain/contracts/data_structures/test_priority_queue.py
|
kevjue/plasma-mvp
|
510934766a8d9b28969658216566a74b2d450384
|
[
"Apache-2.0"
] | 8
|
2018-05-04T09:48:13.000Z
|
2019-01-15T12:38:34.000Z
|
tests/root_chain/contracts/data_structures/test_priority_queue.py
|
gameroot/plasma-mvp
|
eb9a1ba4b82b5aa9179c68fcf6f1b75eb1798977
|
[
"Apache-2.0"
] | 4
|
2018-06-05T05:08:30.000Z
|
2018-06-22T04:06:28.000Z
|
tests/root_chain/contracts/data_structures/test_priority_queue.py
|
gameroot/plasma-mvp
|
eb9a1ba4b82b5aa9179c68fcf6f1b75eb1798977
|
[
"Apache-2.0"
] | 1
|
2018-06-29T11:09:36.000Z
|
2018-06-29T11:09:36.000Z
|
import pytest
from ethereum.tools.tester import TransactionFailed
@pytest.fixture
def priority_queue(get_contract):
return get_contract('PriorityQueue')
def test_priority_queue_get_min_empty_should_fail(priority_queue):
with pytest.raises(TransactionFailed):
priority_queue.getMin()
def test_priority_queue_insert(priority_queue):
priority_queue.insert(2)
assert priority_queue.getMin() == 2
assert priority_queue.currentSize() == 1
def test_priority_queue_insert_multiple(priority_queue):
priority_queue.insert(2)
priority_queue.insert(5)
assert priority_queue.getMin() == 2
assert priority_queue.currentSize() == 2
def test_priority_queue_insert_out_of_order(priority_queue):
priority_queue.insert(5)
priority_queue.insert(2)
assert priority_queue.getMin() == 2
def test_priority_queue_delete_min(priority_queue):
priority_queue.insert(2)
assert priority_queue.delMin() == 2
assert priority_queue.currentSize() == 0
def test_priority_queue_delete_all(priority_queue):
priority_queue.insert(5)
priority_queue.insert(2)
assert priority_queue.delMin() == 2
assert priority_queue.delMin() == 5
assert priority_queue.currentSize() == 0
with pytest.raises(TransactionFailed):
priority_queue.getMin()
def test_priority_queue_delete_then_insert(priority_queue):
priority_queue.insert(2)
assert priority_queue.delMin() == 2
priority_queue.insert(5)
assert priority_queue.getMin() == 5
| 27.454545
| 66
| 0.763576
| 194
| 1,510
| 5.597938
| 0.195876
| 0.466851
| 0.22744
| 0.165746
| 0.803867
| 0.656538
| 0.627072
| 0.627072
| 0.627072
| 0.474217
| 0
| 0.017067
| 0.146358
| 1,510
| 54
| 67
| 27.962963
| 0.825446
| 0
| 0
| 0.578947
| 0
| 0
| 0.008609
| 0
| 0
| 0
| 0
| 0
| 0.315789
| 1
| 0.210526
| false
| 0
| 0.052632
| 0.026316
| 0.289474
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 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
|
103b9ea7cadfe57491ec561a6f6106014b798dce
| 228
|
py
|
Python
|
bioframe/__init__.py
|
mimakaev/bioframe
|
f9f71425bd0f36376ead3c2c83d7ee9f4676db29
|
[
"MIT"
] | null | null | null |
bioframe/__init__.py
|
mimakaev/bioframe
|
f9f71425bd0f36376ead3c2c83d7ee9f4676db29
|
[
"MIT"
] | null | null | null |
bioframe/__init__.py
|
mimakaev/bioframe
|
f9f71425bd0f36376ead3c2c83d7ee9f4676db29
|
[
"MIT"
] | null | null | null |
#-*- coding: utf-8 -*-
from __future__ import division, print_function
from ._version import __version__
from .schemas import SCHEMAS
from .region import *
from .frameops import *
from .formats import *
from .resources import *
| 25.333333
| 47
| 0.767544
| 29
| 228
| 5.689655
| 0.517241
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005128
| 0.144737
| 228
| 8
| 48
| 28.5
| 0.841026
| 0.092105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.142857
| 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
|
10534aa343b1ef351dbb4349331300cbc376d7d8
| 154
|
py
|
Python
|
tests/handlers/testhandlers/two.py
|
bcurnow/magicband-reader
|
d8afa80648abc8954abd9c3cab8f6f6b9cb260ec
|
[
"Apache-2.0"
] | 5
|
2021-01-12T02:53:07.000Z
|
2022-03-02T17:58:18.000Z
|
tests/handlers/testhandlers/two.py
|
bcurnow/magicband-reader
|
d8afa80648abc8954abd9c3cab8f6f6b9cb260ec
|
[
"Apache-2.0"
] | null | null | null |
tests/handlers/testhandlers/two.py
|
bcurnow/magicband-reader
|
d8afa80648abc8954abd9c3cab8f6f6b9cb260ec
|
[
"Apache-2.0"
] | null | null | null |
from magicbandreader.handlers import AbstractHandler
class TwoHandler(AbstractHandler):
pass
def register(ctx):
return TwoHandler(priority=2)
| 15.4
| 52
| 0.785714
| 16
| 154
| 7.5625
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007634
| 0.149351
| 154
| 9
| 53
| 17.111111
| 0.916031
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0.2
| 0.2
| 0.2
| 0.8
| 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
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
1079dfd01215bbc53833677145f308e4a2ed0fc9
| 111
|
py
|
Python
|
Morpheus/ComInv/admin.py
|
tr0v40/Morpheus-API
|
5a0b61303c8334b4030130998ffddc3fddc0ef10
|
[
"MIT"
] | null | null | null |
Morpheus/ComInv/admin.py
|
tr0v40/Morpheus-API
|
5a0b61303c8334b4030130998ffddc3fddc0ef10
|
[
"MIT"
] | null | null | null |
Morpheus/ComInv/admin.py
|
tr0v40/Morpheus-API
|
5a0b61303c8334b4030130998ffddc3fddc0ef10
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import CommercialInvoice
admin.site.register(CommercialInvoice)
| 22.2
| 38
| 0.855856
| 13
| 111
| 7.307692
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09009
| 111
| 4
| 39
| 27.75
| 0.940594
| 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
|
10842d698b59fe214e0d207b9cee0935290aaec5
| 91
|
py
|
Python
|
spandex/__init__.py
|
UDST/spandex
|
2f485b190d521bc84e9a66d71c8161b5214570d8
|
[
"BSD-3-Clause"
] | 21
|
2015-09-24T08:20:13.000Z
|
2020-08-10T16:15:03.000Z
|
spandex/__init__.py
|
UDST/spandex
|
2f485b190d521bc84e9a66d71c8161b5214570d8
|
[
"BSD-3-Clause"
] | 3
|
2018-05-22T21:04:48.000Z
|
2018-05-30T20:40:44.000Z
|
spandex/__init__.py
|
UDST/spandex
|
2f485b190d521bc84e9a66d71c8161b5214570d8
|
[
"BSD-3-Clause"
] | 14
|
2015-09-21T17:59:02.000Z
|
2020-05-06T05:12:40.000Z
|
# Import for access from module top-level.
from .io import TableLoader, TableFrame # noqa
| 30.333333
| 47
| 0.769231
| 13
| 91
| 5.384615
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164835
| 91
| 2
| 48
| 45.5
| 0.921053
| 0.494505
| 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
|
52a8eab5090ffc078f5490ed72580c74c06b876a
| 802
|
py
|
Python
|
hermione/module_templates/__NOT_IMPLEMENTED_BASE__/src/tests/test_project.py
|
RodrigoATorres/hermione
|
6cbed73e309f8025a48f33165d8f29561c6a3cc7
|
[
"Apache-2.0"
] | 183
|
2020-06-03T22:43:14.000Z
|
2022-03-17T22:39:07.000Z
|
hermione/module_templates/__NOT_IMPLEMENTED_BASE__/src/tests/test_project.py
|
RodrigoATorres/hermione
|
6cbed73e309f8025a48f33165d8f29561c6a3cc7
|
[
"Apache-2.0"
] | 31
|
2020-06-03T22:55:18.000Z
|
2022-03-27T20:06:17.000Z
|
hermione/module_templates/__NOT_IMPLEMENTED_BASE__/src/tests/test_project.py
|
RodrigoATorres/hermione
|
6cbed73e309f8025a48f33165d8f29561c6a3cc7
|
[
"Apache-2.0"
] | 43
|
2020-06-03T22:45:03.000Z
|
2021-12-29T19:43:54.000Z
|
import os
import pytest
import pandas as pd
import sys
sys.path.append('..')
def test_tree():
"""
Test if the project has a good minimum structure
"""
assert os.path.exists(os.path.join('..','..', 'data', 'raw'))
assert os.path.exists(os.path.join('..','..', 'output'))
assert os.path.exists(os.path.join('..','..', 'src', 'api'))
assert os.path.exists(os.path.join('..','..', 'src', 'config'))
assert os.path.exists(os.path.join('..','..', 'src', 'ml', 'data_source'))
assert os.path.exists(os.path.join('..','..', 'src', 'ml', 'model'))
assert os.path.exists(os.path.join('..','..', 'src', 'ml', 'notebooks'))
assert os.path.exists(os.path.join('..','..', 'src', 'ml', 'preprocessing'))
assert os.path.exists(os.path.join('..','..', 'src', 'tests'))
| 40.1
| 80
| 0.568579
| 111
| 802
| 4.099099
| 0.324324
| 0.237363
| 0.237363
| 0.356044
| 0.617582
| 0.617582
| 0.617582
| 0.494505
| 0.29011
| 0
| 0
| 0
| 0.139651
| 802
| 19
| 81
| 42.210526
| 0.657971
| 0
| 0
| 0
| 0
| 0
| 0.179104
| 0
| 0
| 0
| 0
| 0
| 0.6
| 0
| null | null | 0
| 0.266667
| null | null | 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
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
52b5f2fb3bcb4a337e873adf563f8db0b99c7ed1
| 51
|
py
|
Python
|
range/07.py
|
mallimuondu/python-homworks
|
352721a8e77d0b3bdb7a8a54197b6a04e1aec3c0
|
[
"MIT"
] | null | null | null |
range/07.py
|
mallimuondu/python-homworks
|
352721a8e77d0b3bdb7a8a54197b6a04e1aec3c0
|
[
"MIT"
] | null | null | null |
range/07.py
|
mallimuondu/python-homworks
|
352721a8e77d0b3bdb7a8a54197b6a04e1aec3c0
|
[
"MIT"
] | null | null | null |
a = [1,2,3,4,5,6,7,8,9,10]
if a == 1:
print(a)
| 12.75
| 26
| 0.431373
| 16
| 51
| 1.375
| 0.8125
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.307692
| 0.235294
| 51
| 4
| 27
| 12.75
| 0.25641
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0
| 1
| 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
|
5e01b5b9f9602149cc933d513ae5d285f8c877a0
| 28
|
py
|
Python
|
pymongoimport/version.py
|
jdrumgoole/pymongodbimport
|
6e03667f88f40603bb4f835c1e265044d11a6ca2
|
[
"Apache-2.0"
] | 1
|
2020-06-01T15:57:10.000Z
|
2020-06-01T15:57:10.000Z
|
pymongoimport/version.py
|
jdrumgoole/pymongoimport
|
606a745529cb6ea4d5f4e59d8a8dcad8b8d78352
|
[
"Apache-2.0"
] | 12
|
2019-07-30T07:10:14.000Z
|
2021-08-12T08:53:33.000Z
|
pymongoimport/version.py
|
jdrumgoole/pymongodbimport
|
6e03667f88f40603bb4f835c1e265044d11a6ca2
|
[
"Apache-2.0"
] | 1
|
2020-02-10T10:09:48.000Z
|
2020-02-10T10:09:48.000Z
|
__VERSION__ : str = "1.6b0"
| 14
| 27
| 0.642857
| 4
| 28
| 3.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 0.178571
| 28
| 1
| 28
| 28
| 0.478261
| 0
| 0
| 0
| 0
| 0
| 0.178571
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
5e0bea87bc4d1b6c9d66699650da711d95b8f740
| 63
|
py
|
Python
|
zappa_boilerplate/models.py
|
402900550b/dtnewman2
|
f0113c2835741185b9a71003d6340f97f5d6cc99
|
[
"MIT"
] | 17
|
2017-01-30T03:22:47.000Z
|
2019-07-25T15:15:46.000Z
|
zappa_boilerplate/models.py
|
402900550b/dtnewman2
|
f0113c2835741185b9a71003d6340f97f5d6cc99
|
[
"MIT"
] | 2
|
2017-09-16T01:01:45.000Z
|
2020-10-28T18:13:18.000Z
|
zappa_boilerplate/models.py
|
402900550b/dtnewman2
|
f0113c2835741185b9a71003d6340f97f5d6cc99
|
[
"MIT"
] | 1
|
2017-09-29T05:04:24.000Z
|
2017-09-29T05:04:24.000Z
|
# import your models here
import zappa_boilerplate.user.models
| 21
| 36
| 0.84127
| 9
| 63
| 5.777778
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 63
| 2
| 37
| 31.5
| 0.928571
| 0.365079
| 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
|
5e218355ff1808e06db37c1f3d664e634d32ea18
| 1,025
|
py
|
Python
|
server/models.py
|
joshr4/halo-challenge
|
1fa131ab304f3ff74b4bad093291ff33182a81d0
|
[
"MIT"
] | null | null | null |
server/models.py
|
joshr4/halo-challenge
|
1fa131ab304f3ff74b4bad093291ff33182a81d0
|
[
"MIT"
] | 2
|
2021-03-08T22:17:12.000Z
|
2021-05-07T19:28:16.000Z
|
server/models.py
|
joshr4/halo-challenge
|
1fa131ab304f3ff74b4bad093291ff33182a81d0
|
[
"MIT"
] | null | null | null |
from server import db, login
from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
class User(UserMixin, db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(64), index=True, unique=True)
password_hash = db.Column(db.String(128))
keys = db.relationship('Key', backref='author', lazy='dynamic')
def set_password(self, password):
self.password_hash = generate_password_hash(password)
def check_password(self, password):
return check_password_hash(self.password_hash, password)
def __repr__(self):
return '<User {}>'.format(self.username)
class Key(db.Model):
id = db.Column(db.Integer, primary_key=True)
key = db.Column(db.String(140))
value = db.Column(db.String(140))
user_id = db.Column(db.Integer, db.ForeignKey('user.id'))
def __repr__(self):
return '<Key {}>'.format(self.id)
@login.user_loader
def load_user(id):
return User.query.get(int(id))
| 35.344828
| 73
| 0.705366
| 146
| 1,025
| 4.767123
| 0.328767
| 0.12069
| 0.100575
| 0.091954
| 0.196839
| 0.114943
| 0.114943
| 0.114943
| 0.114943
| 0.114943
| 0
| 0.012791
| 0.160976
| 1,025
| 28
| 74
| 36.607143
| 0.796512
| 0
| 0
| 0.166667
| 1
| 0
| 0.039024
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.208333
| false
| 0.25
| 0.125
| 0.166667
| 0.916667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
5e36967c86189955af4c0c246279fd95cb802eb6
| 187
|
py
|
Python
|
lists/admin.py
|
dongttang/airbnbCloneCoding
|
cf7232b45597e5bbeb5be605e2fce44dc2ed07ab
|
[
"MIT"
] | null | null | null |
lists/admin.py
|
dongttang/airbnbCloneCoding
|
cf7232b45597e5bbeb5be605e2fce44dc2ed07ab
|
[
"MIT"
] | 16
|
2020-11-07T04:38:04.000Z
|
2020-11-14T12:34:28.000Z
|
lists/admin.py
|
dongttang/airbnbCloneCoding
|
cf7232b45597e5bbeb5be605e2fce44dc2ed07ab
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from . import models as lists_models
@admin.register(lists_models.List)
class ListAdmin(admin.ModelAdmin):
""" List Admin Definition """
pass
| 17
| 36
| 0.743316
| 24
| 187
| 5.708333
| 0.625
| 0.160584
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165775
| 187
| 10
| 37
| 18.7
| 0.878205
| 0.112299
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.2
| 0.4
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
eab395890d41757da2fea70d694b786ad3f113ec
| 178
|
py
|
Python
|
oyLabImaging/Processing/__init__.py
|
alonyan/oyLabCode
|
591ce239f1194e1687f522b550cba4a9f6a453a3
|
[
"MIT"
] | 3
|
2021-11-23T18:46:59.000Z
|
2022-02-02T19:30:25.000Z
|
oyLabImaging/Processing/__init__.py
|
oylab/oyLabImaging
|
29ee0ca5ed4ec3573e7440a1acd86d1b66497f0a
|
[
"MIT"
] | null | null | null |
oyLabImaging/Processing/__init__.py
|
oylab/oyLabImaging
|
29ee0ca5ed4ec3573e7440a1acd86d1b66497f0a
|
[
"MIT"
] | 1
|
2022-01-26T22:25:01.000Z
|
2022-01-26T22:25:01.000Z
|
# __init__.py
from .FrameLbl import FrameLbl
from .PosLbl import PosLbl
from .Results import results
from . import generalutils
from . import improcutils
from . import imvisutils
| 25.428571
| 30
| 0.814607
| 23
| 178
| 6.130435
| 0.434783
| 0.212766
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140449
| 178
| 7
| 31
| 25.428571
| 0.921569
| 0.061798
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
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